diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000000..8f6c5c940f --- /dev/null +++ b/.gitattributes @@ -0,0 +1,11 @@ +*.txt text eol=lf +*.md text eol=lf +*.yml text eol=lf +*.html text eol=lf +*.py text eol=lf +*.toml text eol=lf +.gitattributes text eol=lf +.gitignore text eol=lf +*.lock +CODEOWNERS text eol=lf +LICENSE text eol=lf \ No newline at end of file diff --git a/.github/ISSUE_TEMPLATE.md b/.github/ISSUE_TEMPLATE.md deleted file mode 100644 index ac8e9a6020..0000000000 --- a/.github/ISSUE_TEMPLATE.md +++ /dev/null @@ -1,69 +0,0 @@ -### Description - - - -### Environment - -- GraphRAG version: -- Python version: -- Operating System: - -### Steps to Reproduce (for bugs) - - - -1. Step 1 -2. Step 2 -3. ... - -### Expected Behavior - - - -### Actual Behavior - - - -### Screenshots / Logs (if applicable) - - - -### GraphRAG Configuration - - - -### Additional Information - - - -### Possible Solution (if you have one) - - - -### Is this a Bug or Feature Request? - - - -### Any related issues? - - - -### Any relevant discussions? - - - -### Checklist - - - -- [ ] I have searched for similar issues and didn't find any duplicates. -- [ ] I have provided a clear and concise description of the issue. -- [ ] I have included the necessary environment details. -- [ ] I have outlined the steps to reproduce the issue. -- [ ] I have included any relevant logs or screenshots. -- [ ] I have included the GraphRAG configuration for this run. -- [ ] I have indicated whether this is a bug or a feature request. - -### Additional Comments - - diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml index b6aa361d88..f7e6c99e07 100644 --- a/.github/ISSUE_TEMPLATE/bug_report.yml +++ b/.github/ISSUE_TEMPLATE/bug_report.yml @@ -7,11 +7,12 @@ body: - type: checkboxes id: existingcheck attributes: - label: Is there an existing issue for this? - description: Please search to see if an issue already exists for the bug you encountered. + label: Do you need to file an issue? + description: Please help us manage our time by avoiding duplicates and common questions with the steps below. options: - - label: I have searched the existing issues - - label: I have checked [#657](https://github.com/microsoft/graphrag/issues/657) to validate if my issue is covered by community support + - label: I have searched the existing issues and this bug is not already filed. + - label: My model is hosted on OpenAI or Azure. If not, please look at the "model providers" issue and don't file a new one here. + - label: I believe this is a legitimate bug, not just a question. If this is a question, please use the Discussions area. - type: textarea id: description attributes: diff --git a/.github/ISSUE_TEMPLATE/feature_request.yml b/.github/ISSUE_TEMPLATE/feature_request.yml index 585d63aa75..56c42ab057 100644 --- a/.github/ISSUE_TEMPLATE/feature_request.yml +++ b/.github/ISSUE_TEMPLATE/feature_request.yml @@ -4,6 +4,15 @@ labels: ["enhancement"] title: "[Feature Request]: " body: + - type: checkboxes + id: existingcheck + attributes: + label: Do you need to file an issue? + description: Please help us manage our time by avoiding duplicates and common questions with the steps below. + options: + - label: I have searched the existing issues and this feature is not already filed. + - label: My model is hosted on OpenAI or Azure. If not, please look at the "model providers" issue and don't file a new one here. + - label: I believe this is a legitimate feature request, not just a question. If this is a question, please use the Discussions area. - type: textarea id: problem_description attributes: diff --git a/.github/ISSUE_TEMPLATE/general_issue.yml b/.github/ISSUE_TEMPLATE/general_issue.yml index 79b408c10c..fbbc952017 100644 --- a/.github/ISSUE_TEMPLATE/general_issue.yml +++ b/.github/ISSUE_TEMPLATE/general_issue.yml @@ -7,11 +7,12 @@ body: - type: checkboxes id: existingcheck attributes: - label: Is there an existing issue for this? - description: Please search to see if an issue already exists for the bug you encountered. + label: Do you need to file an issue? + description: Please help us manage our time by avoiding duplicates and common questions with the steps below. options: - - label: I have searched the existing issues - - label: I have checked [#657](https://github.com/microsoft/graphrag/issues/657) to validate if my issue is covered by community support + - label: I have searched the existing issues and this bug is not already filed. + - label: My model is hosted on OpenAI or Azure. If not, please look at the "model providers" issue and don't file a new one here. + - label: I believe this is a legitimate bug, not just a question. If this is a question, please use the Discussions area. - type: textarea id: description attributes: diff --git a/.github/dependabot.yml b/.github/dependabot.yml index 3da41ebe5e..68f59383da 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -4,10 +4,6 @@ # https://docs.github.com/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file version: 2 updates: - - package-ecosystem: "npm" # See documentation for possible values - directory: "docsite/" # Location of package manifests - schedule: - interval: "weekly" - package-ecosystem: "pip" # See documentation for possible values directory: "/" # Location of package manifests schedule: diff --git a/.github/workflows/gh-pages.yml b/.github/workflows/gh-pages.yml index 5ca57231cf..e2129d75af 100644 --- a/.github/workflows/gh-pages.yml +++ b/.github/workflows/gh-pages.yml @@ -2,14 +2,12 @@ name: gh-pages on: push: branches: [main] - permissions: contents: write env: - POETRY_VERSION: 1.8.3 - PYTHON_VERSION: "3.11" - NODE_VERSION: 18.x + POETRY_VERSION: '1.8.3' + PYTHON_VERSION: '3.11' jobs: build: @@ -17,29 +15,9 @@ jobs: env: GH_PAGES: 1 DEBUG: 1 - GRAPHRAG_LLM_TYPE: "azure_openai_chat" - GRAPHRAG_EMBEDDING_TYPE: "azure_openai_embedding" - GRAPHRAG_API_KEY: ${{ secrets.OPENAI_API_KEY }} - GRAPHRAG_API_BASE: ${{ secrets.GRAPHRAG_API_BASE }} - GRAPHRAG_API_VERSION: ${{ secrets.GRAPHRAG_API_VERSION }} - GRAPHRAG_LLM_DEPLOYMENT_NAME: ${{ secrets.GRAPHRAG_LLM_DEPLOYMENT_NAME }} - GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME: ${{ secrets.GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME }} - GRAPHRAG_CACHE_TYPE: "blob" - GRAPHRAG_CACHE_CONNECTION_STRING: ${{ secrets.BLOB_STORAGE_CONNECTION_STRING }} - GRAPHRAG_CACHE_CONTAINER_NAME: "cicache" - GRAPHRAG_CACHE_BASE_DIR": "cache" - GRAPHRAG_LLM_MODEL: gpt-3.5-turbo-16k - GRAPHRAG_EMBEDDING_MODEL: text-embedding-ada-002 - # We have Windows + Linux runners in 3.10 and 3.11, so we need to divide the rate limits by 4 - GRAPHRAG_LLM_TPM: 45_000 # 180,000 / 4 - GRAPHRAG_LLM_RPM: 270 # 1,080 / 4 - GRAPHRAG_EMBEDDING_TPM: 87_500 # 350,000 / 4 - GRAPHRAG_EMBEDDING_RPM: 525 # 2,100 / 4 - GRAPHRAG_CHUNK_SIZE: 1200 - GRAPHRAG_CHUNK_OVERLAP: 0 - # Azure AI Search config - AZURE_AI_SEARCH_URL_ENDPOINT: ${{ secrets.AZURE_AI_SEARCH_URL_ENDPOINT }} - AZURE_AI_SEARCH_API_KEY: ${{ secrets.AZURE_AI_SEARCH_API_KEY }} + GRAPHRAG_API_KEY: ${{ secrets.OPENAI_NOTEBOOK_KEY }} + GRAPHRAG_LLM_MODEL: ${{ secrets.GRAPHRAG_LLM_MODEL }} + GRAPHRAG_EMBEDDING_MODEL: ${{ secrets.GRAPHRAG_EMBEDDING_MODEL }} steps: - uses: actions/checkout@v4 @@ -56,42 +34,20 @@ jobs: with: poetry-version: ${{ env.POETRY_VERSION }} - - name: Use Node ${{ env.NODE_VERSION }} - uses: actions/setup-node@v4 - with: - node-version: ${{ env.NODE_VERSION }} - - - name: Install Yarn dependencies - run: yarn install - working-directory: docsite - - - name: Install Poetry dependencies + - name: poetry intsall + shell: bash run: poetry install + + - name: mkdocs build + shell: bash + run: poetry run poe build_docs - - name: Install Azurite - id: azuright - uses: potatoqualitee/azuright@v1.1 - - - name: Generate Indexer Outputs - run: | - poetry run poe test_smoke - zip -jrm docsite/data/operation_dulce/dataset.zip tests/fixtures/min-csv/output/*/artifacts/*.parquet - - - name: Build Jupyter Notebooks - run: poetry run poe convert_docsite_notebooks - - - name: Build docsite - run: yarn build - working-directory: docsite - env: - DOCSITE_BASE_URL: "graphrag" - - - name: List docsite files - run: find docsite/_site + - name: List Docsite Contents + run: find site - name: Deploy to GitHub Pages - uses: JamesIves/github-pages-deploy-action@v4.6.3 + uses: JamesIves/github-pages-deploy-action@v4.6.4 with: branch: gh-pages - folder: docsite/_site - clean: true + folder: site + clean: true \ No newline at end of file diff --git a/.github/workflows/issues-autoresolve.yml b/.github/workflows/issues-autoresolve.yml index 962bf36566..b077a44d12 100644 --- a/.github/workflows/issues-autoresolve.yml +++ b/.github/workflows/issues-autoresolve.yml @@ -3,6 +3,11 @@ on: schedule: - cron: "30 1 * * *" +permissions: + actions: write + issues: write + pull-requests: write + jobs: close-issues: runs-on: ubuntu-latest @@ -10,7 +15,7 @@ jobs: issues: write pull-requests: write steps: - - uses: actions/stale@v5 + - uses: actions/stale@v9 with: days-before-issue-stale: 7 days-before-issue-close: 5 @@ -18,7 +23,7 @@ jobs: close-issue-label: "autoresolved" stale-issue-message: "This issue has been marked stale due to inactivity after repo maintainer or community member responses that request more information or suggest a solution. It will be closed after five additional days." close-issue-message: "This issue has been closed after being marked as stale for five days. Please reopen if needed." - exempt-issue-label: "triage" + any-of-labels: "awaiting_response" days-before-pr-stale: -1 days-before-pr-close: -1 repo-token: ${{ secrets.GITHUB_TOKEN }} diff --git a/.github/workflows/javascript-ci.yml b/.github/workflows/javascript-ci.yml deleted file mode 100644 index e1d45c6fc0..0000000000 --- a/.github/workflows/javascript-ci.yml +++ /dev/null @@ -1,30 +0,0 @@ -name: JavaScript CI -on: - push: - branches: [main] - pull_request: - branches: [main] - -env: - NODE_VERSION: 18.x - -jobs: - javascript-ci: - runs-on: ubuntu-latest - strategy: - fail-fast: false - steps: - - name: Use Node ${{ env.NODE_VERSION }} - uses: actions/setup-node@v4 - with: - node-version: ${{ env.NODE_VERSION }} - - - uses: actions/checkout@v4 - - - run: yarn install - working-directory: docsite - name: Install Dependencies - - - run: yarn build - working-directory: docsite - name: Build Docsite \ No newline at end of file diff --git a/.github/workflows/python-ci.yml b/.github/workflows/python-ci.yml index 4c2464b9f2..b7760aebcd 100644 --- a/.github/workflows/python-ci.yml +++ b/.github/workflows/python-ci.yml @@ -1,9 +1,21 @@ name: Python CI on: push: - branches: [main] + branches: + - "**/main" # match branches like feature/main + - "main" # match the main branch pull_request: - branches: [main] + types: + - opened + - reopened + - synchronize + - ready_for_review + branches: + - "**/main" + - "main" + paths-ignore: + - "**/*.md" + - ".semversioner/**" permissions: contents: read @@ -19,35 +31,15 @@ env: jobs: python-ci: + # skip draft PRs + if: github.event.pull_request.draft == false strategy: matrix: python-version: ["3.10", "3.11"] # add 3.12 once gensim supports it. TODO: watch this issue - https://github.com/piskvorky/gensim/issues/3510 os: [ubuntu-latest, windows-latest] + fail-fast: false # Continue running all jobs even if one fails env: DEBUG: 1 - GRAPHRAG_LLM_TYPE: "azure_openai_chat" - GRAPHRAG_EMBEDDING_TYPE: "azure_openai_embedding" - GRAPHRAG_API_KEY: ${{ secrets.OPENAI_API_KEY }} - GRAPHRAG_API_BASE: ${{ secrets.GRAPHRAG_API_BASE }} - GRAPHRAG_API_VERSION: ${{ secrets.GRAPHRAG_API_VERSION }} - GRAPHRAG_LLM_DEPLOYMENT_NAME: ${{ secrets.GRAPHRAG_LLM_DEPLOYMENT_NAME }} - GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME: ${{ secrets.GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME }} - GRAPHRAG_CACHE_TYPE: "blob" - GRAPHRAG_CACHE_CONNECTION_STRING: ${{ secrets.BLOB_STORAGE_CONNECTION_STRING }} - GRAPHRAG_CACHE_CONTAINER_NAME: "cicache" - GRAPHRAG_CACHE_BASE_DIR": "cache" - GRAPHRAG_LLM_MODEL: gpt-3.5-turbo-16k - GRAPHRAG_EMBEDDING_MODEL: text-embedding-ada-002 - # We have Windows + Linux runners in 3.10 and 3.11, so we need to divide the rate limits by 4 - GRAPHRAG_LLM_TPM: 45_000 # 180,000 / 4 - GRAPHRAG_LLM_RPM: 270 # 1,080 / 4 - GRAPHRAG_EMBEDDING_TPM: 87_500 # 350,000 / 4 - GRAPHRAG_EMBEDDING_RPM: 525 # 2,100 / 4 - GRAPHRAG_CHUNK_SIZE: 1200 - GRAPHRAG_CHUNK_OVERLAP: 0 - # Azure AI Search config - AZURE_AI_SEARCH_URL_ENDPOINT: ${{ secrets.AZURE_AI_SEARCH_URL_ENDPOINT }} - AZURE_AI_SEARCH_API_KEY: ${{ secrets.AZURE_AI_SEARCH_API_KEY }} runs-on: ${{ matrix.os }} steps: @@ -65,7 +57,7 @@ jobs: - '**/*.toml' - '**/*.ipynb' - '.github/workflows/python*.yml' - - 'tests/smoke/*' + - 'tests/**/*' - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v5 @@ -84,10 +76,6 @@ jobs: poetry run python -m pip install gensim poetry install - - name: Check Semversioner - run: | - poetry run semversioner check - - name: Check run: | poetry run poe check @@ -96,30 +84,6 @@ jobs: run: | poetry build - - name: Install Azurite - id: azuright - uses: potatoqualitee/azuright@v1.1 - - name: Unit Test run: | poetry run poe test_unit - - - name: Integration Test - run: | - poetry run poe test_integration - - - name: Smoke Test - if: steps.changes.outputs.python == 'true' - run: | - poetry run poe test_smoke - - - uses: actions/upload-artifact@v4 - if: always() - with: - name: smoke-test-artifacts-${{ matrix.python-version }}-${{ matrix.poetry-version }}-${{ runner.os }} - path: tests/fixtures/*/output - - - name: E2E Test - if: steps.changes.outputs.python == 'true' - run: | - ./scripts/e2e-test.sh diff --git a/.github/workflows/python-integration-tests.yml b/.github/workflows/python-integration-tests.yml new file mode 100644 index 0000000000..ffdbbef760 --- /dev/null +++ b/.github/workflows/python-integration-tests.yml @@ -0,0 +1,89 @@ +name: Python Integration Tests +on: + push: + branches: + - "**/main" # match branches like feature/main + - "main" # match the main branch + pull_request: + types: + - opened + - reopened + - synchronize + - ready_for_review + branches: + - "**/main" + - "main" + paths-ignore: + - "**/*.md" + - ".semversioner/**" + +permissions: + contents: read + pull-requests: read + +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} + # Only run the for the latest commit + cancel-in-progress: true + +env: + POETRY_VERSION: 1.8.3 + +jobs: + python-ci: + # skip draft PRs + if: github.event.pull_request.draft == false + strategy: + matrix: + python-version: ["3.10"] + os: [ubuntu-latest, windows-latest] + fail-fast: false # Continue running all jobs even if one fails + env: + DEBUG: 1 + + runs-on: ${{ matrix.os }} + steps: + - uses: actions/checkout@v4 + + - uses: dorny/paths-filter@v3 + id: changes + with: + filters: | + python: + - 'graphrag/**/*' + - 'poetry.lock' + - 'pyproject.toml' + - '**/*.py' + - '**/*.toml' + - '**/*.ipynb' + - '.github/workflows/python*.yml' + - 'tests/integration/**/*' + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + + - name: Install Poetry + uses: abatilo/actions-poetry@v3.0.0 + with: + poetry-version: $POETRY_VERSION + + - name: Install dependencies + shell: bash + run: | + poetry self add setuptools wheel + poetry run python -m pip install gensim + poetry install + + - name: Build + run: | + poetry build + + - name: Install Azurite + id: azuright + uses: potatoqualitee/azuright@v1.1 + + - name: Integration Test + run: | + poetry run poe test_integration diff --git a/.github/workflows/python-notebook-tests.yml b/.github/workflows/python-notebook-tests.yml new file mode 100644 index 0000000000..8134b748d9 --- /dev/null +++ b/.github/workflows/python-notebook-tests.yml @@ -0,0 +1,83 @@ +name: Python Notebook Tests +on: + push: + branches: + - "**/main" # match branches like feature/main + - "main" # match the main branch + pull_request: + types: + - opened + - reopened + - synchronize + - ready_for_review + branches: + - "**/main" + - "main" + paths-ignore: + - "**/*.md" + - ".semversioner/**" + +permissions: + contents: read + pull-requests: read + +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} + # Only run the for the latest commit + cancel-in-progress: true + +env: + POETRY_VERSION: 1.8.3 + +jobs: + python-ci: + # skip draft PRs + if: github.event.pull_request.draft == false + strategy: + matrix: + python-version: ["3.10"] + os: [ubuntu-latest, windows-latest] + fail-fast: false # Continue running all jobs even if one fails + env: + DEBUG: 1 + GRAPHRAG_API_KEY: ${{ secrets.OPENAI_NOTEBOOK_KEY }} + GRAPHRAG_LLM_MODEL: ${{ secrets.GRAPHRAG_LLM_MODEL }} + GRAPHRAG_EMBEDDING_MODEL: ${{ secrets.GRAPHRAG_EMBEDDING_MODEL }} + + runs-on: ${{ matrix.os }} + steps: + - uses: actions/checkout@v4 + + - uses: dorny/paths-filter@v3 + id: changes + with: + filters: | + python: + - 'graphrag/**/*' + - 'poetry.lock' + - 'pyproject.toml' + - '**/*.py' + - '**/*.toml' + - '**/*.ipynb' + - '.github/workflows/python*.yml' + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + + - name: Install Poetry + uses: abatilo/actions-poetry@v3.0.0 + with: + poetry-version: $POETRY_VERSION + + - name: Install dependencies + shell: bash + run: | + poetry self add setuptools wheel + poetry run python -m pip install gensim + poetry install + + - name: Notebook Test + run: | + poetry run poe test_notebook diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index 499f1ad064..f9fcce227d 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -1,4 +1,4 @@ -name: Python Publish +name: Python Publish (pypi) on: release: types: [created] diff --git a/.github/workflows/python-smoke-tests.yml b/.github/workflows/python-smoke-tests.yml new file mode 100644 index 0000000000..fafab1891f --- /dev/null +++ b/.github/workflows/python-smoke-tests.yml @@ -0,0 +1,122 @@ +name: Python Smoke Tests +on: + push: + branches: + - "**/main" # match branches like feature/main + - "main" # match the main branch + pull_request: + types: + - opened + - reopened + - synchronize + - ready_for_review + branches: + - "**/main" + - "main" + paths-ignore: + - "**/*.md" + - ".semversioner/**" + +permissions: + contents: read + pull-requests: read + +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} + # Only run the for the latest commit + cancel-in-progress: true + +env: + POETRY_VERSION: 1.8.3 + +jobs: + python-ci: + # skip draft PRs + if: github.event.pull_request.draft == false + strategy: + matrix: + python-version: ["3.10"] + os: [ubuntu-latest, windows-latest] + fail-fast: false # Continue running all jobs even if one fails + env: + DEBUG: 1 + GRAPHRAG_LLM_TYPE: "azure_openai_chat" + GRAPHRAG_EMBEDDING_TYPE: "azure_openai_embedding" + GRAPHRAG_API_KEY: ${{ secrets.OPENAI_API_KEY }} + GRAPHRAG_API_BASE: ${{ secrets.GRAPHRAG_API_BASE }} + GRAPHRAG_API_VERSION: ${{ secrets.GRAPHRAG_API_VERSION }} + GRAPHRAG_LLM_DEPLOYMENT_NAME: ${{ secrets.GRAPHRAG_LLM_DEPLOYMENT_NAME }} + GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME: ${{ secrets.GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME }} + GRAPHRAG_CACHE_CONTAINER_NAME: "cicache" + GRAPHRAG_CACHE_BASE_DIR": "cache" + GRAPHRAG_LLM_MODEL: ${{ secrets.GRAPHRAG_LLM_MODEL }} + GRAPHRAG_EMBEDDING_MODEL: ${{ secrets.GRAPHRAG_EMBEDDING_MODEL }} + GRAPHRAG_ENTITY_EXTRACTION_ENCODING_MODEL: ${{ secrets.GRAPHRAG_ENTITY_EXTRACTION_ENCODING_MODEL }} + # We have Windows + Linux runners in 3.10 and 3.11, so we need to divide the rate limits by 4 + GRAPHRAG_LLM_TPM: 45_000 # 180,000 / 4 + GRAPHRAG_LLM_RPM: 270 # 1,080 / 4 + GRAPHRAG_EMBEDDING_TPM: 87_500 # 350,000 / 4 + GRAPHRAG_EMBEDDING_RPM: 525 # 2,100 / 4 + GRAPHRAG_CHUNK_SIZE: 1200 + GRAPHRAG_CHUNK_OVERLAP: 0 + # Azure AI Search config + AZURE_AI_SEARCH_URL_ENDPOINT: ${{ secrets.AZURE_AI_SEARCH_URL_ENDPOINT }} + AZURE_AI_SEARCH_API_KEY: ${{ secrets.AZURE_AI_SEARCH_API_KEY }} + + runs-on: ${{ matrix.os }} + steps: + - uses: actions/checkout@v4 + + - uses: dorny/paths-filter@v3 + id: changes + with: + filters: | + python: + - 'graphrag/**/*' + - 'poetry.lock' + - 'pyproject.toml' + - '**/*.py' + - '**/*.toml' + - '**/*.ipynb' + - '.github/workflows/python*.yml' + - 'tests/smoke/**/*' + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + + - name: Install Poetry + uses: abatilo/actions-poetry@v3.0.0 + with: + poetry-version: $POETRY_VERSION + + - name: Install dependencies + shell: bash + run: | + poetry self add setuptools wheel + poetry run python -m pip install gensim + poetry install + + - name: Build + run: | + poetry build + + - name: Verb Test + run: | + poetry run poe test_verbs + + - name: Install Azurite + id: azuright + uses: potatoqualitee/azuright@v1.1 + + - name: Smoke Test + if: steps.changes.outputs.python == 'true' + run: | + poetry run poe test_smoke + + - uses: actions/upload-artifact@v4 + if: always() + with: + name: smoke-test-artifacts-${{ matrix.python-version }}-${{ matrix.poetry-version }}-${{ runner.os }} + path: tests/fixtures/*/output diff --git a/.github/workflows/semver.yml b/.github/workflows/semver.yml index 139b759a40..7017f34cf0 100644 --- a/.github/workflows/semver.yml +++ b/.github/workflows/semver.yml @@ -1,15 +1,21 @@ name: Semver Check on: pull_request: + types: + - opened + - reopened + - synchronize + - ready_for_review branches: [main] jobs: - semver: - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v4 - with: - fetch-depth: 0 - - - name: Check Semver - run: ./scripts/semver-check.sh \ No newline at end of file + semver: + # skip draft PRs + if: github.event.pull_request.draft == false + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + with: + fetch-depth: 0 + - name: Check Semver + run: ./scripts/semver-check.sh \ No newline at end of file diff --git a/.github/workflows/spellcheck.yml b/.github/workflows/spellcheck.yml index bbf2be9dfc..7eaf58672f 100644 --- a/.github/workflows/spellcheck.yml +++ b/.github/workflows/spellcheck.yml @@ -3,10 +3,17 @@ on: push: branches: [main] pull_request: + types: + - opened + - reopened + - synchronize + - ready_for_review paths: - - '**/*' + - "**/*" jobs: spellcheck: + # skip draft PRs + if: github.event.pull_request.draft == false runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 diff --git a/.gitignore b/.gitignore index bff8e24810..7e827b2c64 100644 --- a/.gitignore +++ b/.gitignore @@ -1,32 +1,7 @@ -# Node Artifacts -*/node_modules/ -docsite/*/src/**/*.js -docsite/*/lib/ -docsite/*/storybook-static/ -docsite/*/docsTemp/ -docsite/*/build/ -.swc/ -dist/ -.idea -# https://yarnpkg.com/advanced/qa#which-files-should-be-gitignored -docsite/.yarn/* -!docsite/.yarn/patches -!docsite/.yarn/releases -!docsite/.yarn/plugins -!docsite/.yarn/sdks -!docsite/.yarn/versions -docsite/.pnp.* - -.yarn/* -!.yarn/patches -!.yarn/releases -!.yarn/plugins -!.yarn/sdks -!.yarn/versions -.pnp.* - # Python Artifacts python/*/lib/ +dist/ + # Test Output .coverage coverage/ @@ -42,10 +17,10 @@ lancedb/ .DS_Store *.log* .venv +venv/ .conda .tmp - .env build.zip @@ -65,4 +40,19 @@ __blobstorage__/ ragtest/ .ragtest/ .pipelines -.pipeline \ No newline at end of file +.pipeline + + +# mkdocs +site/ + +# Docs migration +docsite/ +.yarn/ +.pnp* + +# PyCharm +.idea/ + +# Jupyter notebook +.ipynb_checkpoints/ diff --git a/.semversioner/0.2.1.json b/.semversioner/0.2.1.json new file mode 100644 index 0000000000..77a4bcec22 --- /dev/null +++ b/.semversioner/0.2.1.json @@ -0,0 +1,70 @@ +{ + "changes": [ + { + "description": "Added default columns for vector store at create_pipeline_config. No change for other cases.", + "type": "patch" + }, + { + "description": "Change json parsing error in the map step of global search to warning", + "type": "patch" + }, + { + "description": "Fix Local Search breaking when loading Embeddings input. Defaulting overwrite to True as in the rest of the vector store config", + "type": "patch" + }, + { + "description": "Fix json parsing when LLM returns faulty responses", + "type": "patch" + }, + { + "description": "Fix missing community reports and refactor community context builder", + "type": "patch" + }, + { + "description": "Fixed a bug that erased the vector database, added a new parameter to specify the config file path, and updated the documentation accordingly.", + "type": "patch" + }, + { + "description": "Try parsing json before even repairing", + "type": "patch" + }, + { + "description": "Update Prompt Tuning meta prompts with finer examples", + "type": "patch" + }, + { + "description": "Update default entity extraction and gleaning prompts to reduce hallucinations", + "type": "patch" + }, + { + "description": "add encoding-model to entity/claim extraction config", + "type": "patch" + }, + { + "description": "add encoding-model to text chunking config", + "type": "patch" + }, + { + "description": "add user prompt to history-tracking llm", + "type": "patch" + }, + { + "description": "update config reader to allow for zero gleans", + "type": "patch" + }, + { + "description": "update config-reader to allow for empty chunk-by arrays", + "type": "patch" + }, + { + "description": "update history-tracking LLm to use 'assistant' instead of 'system' in output history.", + "type": "patch" + }, + { + "description": "use history argument in hash key computation; add history input to cache data", + "type": "patch" + } + ], + "created_at": "2024-08-06T00:25:52+00:00", + "version": "0.2.1" +} \ No newline at end of file diff --git a/.semversioner/0.2.2.json b/.semversioner/0.2.2.json new file mode 100644 index 0000000000..7b10cd1d04 --- /dev/null +++ b/.semversioner/0.2.2.json @@ -0,0 +1,22 @@ +{ + "changes": [ + { + "description": "Add a check if there is no community record added in local search context", + "type": "patch" + }, + { + "description": "Add sepparate workflow for Python Tests", + "type": "patch" + }, + { + "description": "Docs updates", + "type": "patch" + }, + { + "description": "Run smoke tests on 4o", + "type": "patch" + } + ], + "created_at": "2024-08-08T22:40:57+00:00", + "version": "0.2.2" +} \ No newline at end of file diff --git a/.semversioner/0.3.0.json b/.semversioner/0.3.0.json new file mode 100644 index 0000000000..711aeb80f8 --- /dev/null +++ b/.semversioner/0.3.0.json @@ -0,0 +1,30 @@ +{ + "changes": [ + { + "description": "Implement auto templating API.", + "type": "minor" + }, + { + "description": "Implement query engine API.", + "type": "minor" + }, + { + "description": "Fix file dumps using json for non ASCII chars", + "type": "patch" + }, + { + "description": "Stabilize smoke tests for query context building", + "type": "patch" + }, + { + "description": "fix query embedding", + "type": "patch" + }, + { + "description": "fix sort_context & max_tokens params in verb", + "type": "patch" + } + ], + "created_at": "2024-08-12T23:51:49+00:00", + "version": "0.3.0" +} \ No newline at end of file diff --git a/.semversioner/0.3.1.json b/.semversioner/0.3.1.json new file mode 100644 index 0000000000..4b348f68ed --- /dev/null +++ b/.semversioner/0.3.1.json @@ -0,0 +1,34 @@ +{ + "changes": [ + { + "description": "Add preflight check to check LLM connectivity.", + "type": "patch" + }, + { + "description": "Add streaming support for local/global search to query cli", + "type": "patch" + }, + { + "description": "Add support for both float and int on schema validation for community report generation", + "type": "patch" + }, + { + "description": "Avoid running index on gh-pages publishing", + "type": "patch" + }, + { + "description": "Implement Index API", + "type": "patch" + }, + { + "description": "Improves filtering for data dir inferring", + "type": "patch" + }, + { + "description": "Update to nltk 3.9.1", + "type": "patch" + } + ], + "created_at": "2024-08-21T22:46:19+00:00", + "version": "0.3.1" +} \ No newline at end of file diff --git a/.semversioner/0.3.2.json b/.semversioner/0.3.2.json new file mode 100644 index 0000000000..66791cca78 --- /dev/null +++ b/.semversioner/0.3.2.json @@ -0,0 +1,42 @@ +{ + "changes": [ + { + "description": "Add context data to query API responses.", + "type": "patch" + }, + { + "description": "Add missing config parameter documentation for prompt tuning", + "type": "patch" + }, + { + "description": "Add neo4j community notebook", + "type": "patch" + }, + { + "description": "Ensure entity types to be str when running prompt tuning", + "type": "patch" + }, + { + "description": "Fix weight casting during graph extraction", + "type": "patch" + }, + { + "description": "Patch \"past\" dependency issues", + "type": "patch" + }, + { + "description": "Update developer guide.", + "type": "patch" + }, + { + "description": "Update query type hints.", + "type": "patch" + }, + { + "description": "change-lancedb-placement", + "type": "patch" + } + ], + "created_at": "2024-08-26T23:43:01+00:00", + "version": "0.3.2" +} \ No newline at end of file diff --git a/.semversioner/0.3.3.json b/.semversioner/0.3.3.json new file mode 100644 index 0000000000..99726199c8 --- /dev/null +++ b/.semversioner/0.3.3.json @@ -0,0 +1,66 @@ +{ + "changes": [ + { + "description": "Add entrypoints for incremental indexing", + "type": "patch" + }, + { + "description": "Clean up and organize run index code", + "type": "patch" + }, + { + "description": "Consistent config loading. Resolves #99 and Resolves #1049", + "type": "patch" + }, + { + "description": "Fix circular dependency when running prompt tune api directly", + "type": "patch" + }, + { + "description": "Fix default settings for embedding", + "type": "patch" + }, + { + "description": "Fix img for auto tune", + "type": "patch" + }, + { + "description": "Fix img width", + "type": "patch" + }, + { + "description": "Fixed a bug in prompt tuning process", + "type": "patch" + }, + { + "description": "Refactor text unit build at local search", + "type": "patch" + }, + { + "description": "Update Prompt Tuning docs", + "type": "patch" + }, + { + "description": "Update create_pipeline_config.py", + "type": "patch" + }, + { + "description": "Update prompt tune command in docs", + "type": "patch" + }, + { + "description": "add querying from azure blob storage", + "type": "patch" + }, + { + "description": "fix setting base_dir to full paths when not using file system.", + "type": "patch" + }, + { + "description": "fix strategy config in entity_extraction", + "type": "patch" + } + ], + "created_at": "2024-09-10T19:51:24+00:00", + "version": "0.3.3" +} \ No newline at end of file diff --git a/.semversioner/0.3.4.json b/.semversioner/0.3.4.json new file mode 100644 index 0000000000..1c328d4d23 --- /dev/null +++ b/.semversioner/0.3.4.json @@ -0,0 +1,14 @@ +{ + "changes": [ + { + "description": "Deep copy txt units on local search to avoid race conditions", + "type": "patch" + }, + { + "description": "Fix summarization including empty descriptions", + "type": "patch" + } + ], + "created_at": "2024-09-11T22:31:58+00:00", + "version": "0.3.4" +} \ No newline at end of file diff --git a/.semversioner/0.3.5.json b/.semversioner/0.3.5.json new file mode 100644 index 0000000000..90709bb0d0 --- /dev/null +++ b/.semversioner/0.3.5.json @@ -0,0 +1,50 @@ +{ + "changes": [ + { + "description": "Add compound verbs with tests infra.", + "type": "patch" + }, + { + "description": "Collapse create_final_communities.", + "type": "patch" + }, + { + "description": "Collapse create_final_text_units.", + "type": "patch" + }, + { + "description": "Covariate verb collapse.", + "type": "patch" + }, + { + "description": "Fix duplicates in community context builder", + "type": "patch" + }, + { + "description": "Fix prompt tune output path", + "type": "patch" + }, + { + "description": "Fix seed hardcoded init", + "type": "patch" + }, + { + "description": "Fix seeded random gen on clustering", + "type": "patch" + }, + { + "description": "Improve logging.", + "type": "patch" + }, + { + "description": "Set default values for cli parameters.", + "type": "patch" + }, + { + "description": "Use static output directories.", + "type": "patch" + } + ], + "created_at": "2024-09-19T15:26:01+00:00", + "version": "0.3.5" +} \ No newline at end of file diff --git a/.semversioner/0.3.6.json b/.semversioner/0.3.6.json new file mode 100644 index 0000000000..69fe783b33 --- /dev/null +++ b/.semversioner/0.3.6.json @@ -0,0 +1,14 @@ +{ + "changes": [ + { + "description": "Collapse create_final_relationships.", + "type": "patch" + }, + { + "description": "Dependency update and cleanup", + "type": "patch" + } + ], + "created_at": "2024-09-20T00:09:13+00:00", + "version": "0.3.6" +} \ No newline at end of file diff --git a/.semversioner/0.4.0.json b/.semversioner/0.4.0.json new file mode 100644 index 0000000000..961e9e1914 --- /dev/null +++ b/.semversioner/0.4.0.json @@ -0,0 +1,222 @@ +{ + "changes": [ + { + "description": "Add Incremental Indexing", + "type": "minor" + }, + { + "description": "Added DRIFT graph reasoning query module", + "type": "minor" + }, + { + "description": "embeddings moved to a different workflow", + "type": "minor" + }, + { + "description": "Add DRIFT search cli and example notebook", + "type": "patch" + }, + { + "description": "Add config for incremental updates", + "type": "patch" + }, + { + "description": "Add embeddings to subflow.", + "type": "patch" + }, + { + "description": "Add naive community merge using time period", + "type": "patch" + }, + { + "description": "Add relationship merge", + "type": "patch" + }, + { + "description": "Add runtime-only storage option.", + "type": "patch" + }, + { + "description": "Add text units update", + "type": "patch" + }, + { + "description": "Allow empty workflow returns to avoid disk writing.", + "type": "patch" + }, + { + "description": "Apply pandas optimizations to create final entities", + "type": "patch" + }, + { + "description": "Calculate new inputs and deleted inputs on update", + "type": "patch" + }, + { + "description": "Collapse covariates flow.", + "type": "patch" + }, + { + "description": "Collapse create-base-entity-graph.", + "type": "patch" + }, + { + "description": "Collapse create-final-community-reports.", + "type": "patch" + }, + { + "description": "Collapse create-final-documents.", + "type": "patch" + }, + { + "description": "Collapse create-final-entities.", + "type": "patch" + }, + { + "description": "Collapse create-final-nodes.", + "type": "patch" + }, + { + "description": "Collapse create_base_documents.", + "type": "patch" + }, + { + "description": "Collapse create_base_text_units.", + "type": "patch" + }, + { + "description": "Collapse create_final_relationships.", + "type": "patch" + }, + { + "description": "Collapse entity extraction.", + "type": "patch" + }, + { + "description": "Collapse entity summarize.", + "type": "patch" + }, + { + "description": "Collapse intermediate workflow outputs.", + "type": "patch" + }, + { + "description": "Dependency updates", + "type": "patch" + }, + { + "description": "Extract DataShaper-less flows.", + "type": "patch" + }, + { + "description": "Fix embeddings faulty assignments", + "type": "patch" + }, + { + "description": "Fix init defaults for vector store and drift img in docs", + "type": "patch" + }, + { + "description": "Fix nested json parsing", + "type": "patch" + }, + { + "description": "Fix some edge cases on Drift Search over small input sets", + "type": "patch" + }, + { + "description": "Fix var name for embedding", + "type": "patch" + }, + { + "description": "Merge existing and new entities, updating values accordingly", + "type": "patch" + }, + { + "description": "Merge text_embed into create-final-relationships subflow.", + "type": "patch" + }, + { + "description": "Move embedding verbs to operations.", + "type": "patch" + }, + { + "description": "Moving verbs around.", + "type": "patch" + }, + { + "description": "Optimize Create Base Documents subflow", + "type": "patch" + }, + { + "description": "Optimize text unit relationship count", + "type": "patch" + }, + { + "description": "Perf optimizations in map_query_to_entities()", + "type": "patch" + }, + { + "description": "Remove aggregate_df from final coomunities and final text units", + "type": "patch" + }, + { + "description": "Remove duplicated relationships and nodes", + "type": "patch" + }, + { + "description": "Remove unused column from final entities", + "type": "patch" + }, + { + "description": "Reorganized api,reporter,callback code into separate components. Defined debug profiles.", + "type": "patch" + }, + { + "description": "Small cleanup in community context history building", + "type": "patch" + }, + { + "description": "Transient entity graph and snapshotting.", + "type": "patch" + }, + { + "description": "Update Incremental Indexing to new embeddings workflow", + "type": "patch" + }, + { + "description": "Use mkdocs for documentation", + "type": "patch" + }, + { + "description": "add backwards compatibility patch to vector store.", + "type": "patch" + }, + { + "description": "add-autogenerated-cli-docs", + "type": "patch" + }, + { + "description": "fix docs image path", + "type": "patch" + }, + { + "description": "refactor use of vector stores and update support for managed identity", + "type": "patch" + }, + { + "description": "remove redundant error-handling code from global-search", + "type": "patch" + }, + { + "description": "reorganize cli layer", + "type": "patch" + }, + { + "description": "Fix Community ID loading for DRIFT search over existing indexes", + "type": "patch" + } + ], + "created_at": "2024-11-06T00:24:14+00:00", + "version": "0.4.0" +} \ No newline at end of file diff --git a/.semversioner/0.4.1.json b/.semversioner/0.4.1.json new file mode 100644 index 0000000000..eac9c82991 --- /dev/null +++ b/.semversioner/0.4.1.json @@ -0,0 +1,34 @@ +{ + "changes": [ + { + "description": "Add update cli entrypoint for incremental indexing", + "type": "patch" + }, + { + "description": "Allow some cicd jobs to skip PRs dedicated to doc updates only.", + "type": "patch" + }, + { + "description": "Fix a file paths issue in the viz guide.", + "type": "patch" + }, + { + "description": "Fix optional covariates update in incremental indexing", + "type": "patch" + }, + { + "description": "Raise error on empty deltas for inc indexing", + "type": "patch" + }, + { + "description": "add visualization guide to doc site", + "type": "patch" + }, + { + "description": "fix streaming output error", + "type": "patch" + } + ], + "created_at": "2024-11-08T23:13:05+00:00", + "version": "0.4.1" +} \ No newline at end of file diff --git a/.semversioner/0.5.0.json b/.semversioner/0.5.0.json new file mode 100644 index 0000000000..d38e5bff38 --- /dev/null +++ b/.semversioner/0.5.0.json @@ -0,0 +1,38 @@ +{ + "changes": [ + { + "description": "Data model changes.", + "type": "minor" + }, + { + "description": "Add Parquet as part of the default emitters when not pressent", + "type": "patch" + }, + { + "description": "Centralized prompts and export all for easier injection.", + "type": "patch" + }, + { + "description": "Cleanup of artifact outputs/schemas.", + "type": "patch" + }, + { + "description": "Config and docs updates.", + "type": "patch" + }, + { + "description": "Implement dynamic community selection to global search", + "type": "patch" + }, + { + "description": "fix autocompletion of existing files/directory paths.", + "type": "patch" + }, + { + "description": "move import statements out of init files", + "type": "patch" + } + ], + "created_at": "2024-11-16T00:43:06+00:00", + "version": "0.5.0" +} \ No newline at end of file diff --git a/.vscode/extensions.json b/.vscode/extensions.json index 6eb0e91074..2e5e67a214 100644 --- a/.vscode/extensions.json +++ b/.vscode/extensions.json @@ -6,6 +6,7 @@ "ms-python.vscode-pylance", "bierner.markdown-mermaid", "streetsidesoftware.code-spell-checker", - "ronnidc.nunjucks" + "ronnidc.nunjucks", + "lucien-martijn.parquet-visualizer", ] } diff --git a/.vscode/launch.json b/.vscode/launch.json index 909771b809..2167063966 100644 --- a/.vscode/launch.json +++ b/.vscode/launch.json @@ -1,12 +1,39 @@ { + "_comment": "Use this file to configure the graphrag project for debugging. You may create other configuration profiles based on these or select one below to use.", "version": "0.2.0", "configurations": [ { - "name": "Attach to Node Functions", - "type": "node", - "request": "attach", - "port": 9229, - "preLaunchTask": "func: host start" + "name": "Indexer", + "type": "debugpy", + "request": "launch", + "module": "poetry", + "args": [ + "poe", "index", + "--root", "<path_to_ragtest_root_demo>" + ], + }, + { + "name": "Query", + "type": "debugpy", + "request": "launch", + "module": "poetry", + "args": [ + "poe", "query", + "--root", "<path_to_ragtest_root_demo>", + "--method", "global", + "--query", "What are the top themes in this story", + ] + }, + { + "name": "Prompt Tuning", + "type": "debugpy", + "request": "launch", + "module": "poetry", + "args": [ + "poe", "prompt-tune", + "--config", + "<path_to_ragtest_root_demo>/settings.yaml", + ] } ] -} +} \ No newline at end of file diff --git a/.vscode/settings.json b/.vscode/settings.json index ee8ded1e70..0b678d5d95 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -3,6 +3,7 @@ "**/.yarn": true, "**/.pnp.*": true }, + "editor.formatOnSave": false, "eslint.nodePath": ".yarn/sdks", "typescript.tsdk": ".yarn/sdks/typescript/lib", "typescript.enablePromptUseWorkspaceTsdk": true, @@ -24,7 +25,7 @@ ".gitattributes": ".gitignore", ".yarnrc.yml": "yarn.lock, .pnp.*", "jest.config.js": "jest.setup.mjs", - "pyproject.toml": "poetry.lock, poetry.toml", + "pyproject.toml": "poetry.lock, poetry.toml, mkdocs.yaml", "cspell.config.yaml": "dictionary.txt" }, "azureFunctions.postDeployTask": "npm install (functions)", @@ -38,7 +39,6 @@ ], "python.defaultInterpreterPath": "python/services/.venv/bin/python", "python.languageServer": "Pylance", - "python.analysis.typeCheckingMode": "basic", "cSpell.customDictionaries": { "project-words": { "name": "project-words", diff --git a/CHANGELOG.md b/CHANGELOG.md index 802b3a11a7..bf77efff42 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,6 +1,183 @@ # Changelog Note: version releases in the 0.x.y range may introduce breaking changes. +## 0.5.0 + +- minor: Data model changes. +- patch: Add Parquet as part of the default emitters when not pressent +- patch: Centralized prompts and export all for easier injection. +- patch: Cleanup of artifact outputs/schemas. +- patch: Config and docs updates. +- patch: Implement dynamic community selection to global search +- patch: fix autocompletion of existing files/directory paths. +- patch: move import statements out of init files + +## 0.4.1 + +- patch: Add update cli entrypoint for incremental indexing +- patch: Allow some CI/CD jobs to skip PRs dedicated to doc updates only. +- patch: Fix a file paths issue in the viz guide. +- patch: Fix optional covariates update in incremental indexing +- patch: Raise error on empty deltas for inc indexing +- patch: add visualization guide to doc site +- patch: fix streaming output error + +## 0.4.0 + +- minor: Add Incremental Indexing +- minor: Added DRIFT graph reasoning query module +- minor: embeddings moved to a different workflow +- patch: Add DRIFT search cli and example notebook +- patch: Add config for incremental updates +- patch: Add embeddings to subflow. +- patch: Add naive community merge using time period +- patch: Add relationship merge +- patch: Add runtime-only storage option. +- patch: Add text units update +- patch: Allow empty workflow returns to avoid disk writing. +- patch: Apply pandas optimizations to create final entities +- patch: Calculate new inputs and deleted inputs on update +- patch: Collapse covariates flow. +- patch: Collapse create-base-entity-graph. +- patch: Collapse create-final-community-reports. +- patch: Collapse create-final-documents. +- patch: Collapse create-final-entities. +- patch: Collapse create-final-nodes. +- patch: Collapse create_base_documents. +- patch: Collapse create_base_text_units. +- patch: Collapse create_final_relationships. +- patch: Collapse entity extraction. +- patch: Collapse entity summarize. +- patch: Collapse intermediate workflow outputs. +- patch: Dependency updates +- patch: Extract DataShaper-less flows. +- patch: Fix Community ID loading for DRIFT search over existing indexes +- patch: Fix embeddings faulty assignments +- patch: Fix init defaults for vector store and drift img in docs +- patch: Fix nested json parsing +- patch: Fix some edge cases on Drift Search over small input sets +- patch: Fix var name for embedding +- patch: Merge existing and new entities, updating values accordingly +- patch: Merge text_embed into create-final-relationships subflow. +- patch: Move embedding verbs to operations. +- patch: Moving verbs around. +- patch: Optimize Create Base Documents subflow +- patch: Optimize text unit relationship count +- patch: Perf optimizations in map_query_to_entities() +- patch: Remove aggregate_df from final coomunities and final text units +- patch: Remove duplicated relationships and nodes +- patch: Remove unused column from final entities +- patch: Reorganized api,reporter,callback code into separate components. Defined debug profiles. +- patch: Small cleanup in community context history building +- patch: Transient entity graph and snapshotting. +- patch: Update Incremental Indexing to new embeddings workflow +- patch: Use mkdocs for documentation +- patch: add backwards compatibility patch to vector store. +- patch: add-autogenerated-cli-docs +- patch: fix docs image path +- patch: refactor use of vector stores and update support for managed identity +- patch: remove redundant error-handling code from global-search +- patch: reorganize cli layer + +## 0.3.6 + +- patch: Collapse create_final_relationships. +- patch: Dependency update and cleanup + +## 0.3.5 + +- patch: Add compound verbs with tests infra. +- patch: Collapse create_final_communities. +- patch: Collapse create_final_text_units. +- patch: Covariate verb collapse. +- patch: Fix duplicates in community context builder +- patch: Fix prompt tune output path +- patch: Fix seed hardcoded init +- patch: Fix seeded random gen on clustering +- patch: Improve logging. +- patch: Set default values for cli parameters. +- patch: Use static output directories. + +## 0.3.4 + +- patch: Deep copy txt units on local search to avoid race conditions +- patch: Fix summarization including empty descriptions + +## 0.3.3 + +- patch: Add entrypoints for incremental indexing +- patch: Clean up and organize run index code +- patch: Consistent config loading. Resolves #99 and Resolves #1049 +- patch: Fix circular dependency when running prompt tune api directly +- patch: Fix default settings for embedding +- patch: Fix img for auto tune +- patch: Fix img width +- patch: Fixed a bug in prompt tuning process +- patch: Refactor text unit build at local search +- patch: Update Prompt Tuning docs +- patch: Update create_pipeline_config.py +- patch: Update prompt tune command in docs +- patch: add querying from azure blob storage +- patch: fix setting base_dir to full paths when not using file system. +- patch: fix strategy config in entity_extraction + +## 0.3.2 + +- patch: Add context data to query API responses. +- patch: Add missing config parameter documentation for prompt tuning +- patch: Add neo4j community notebook +- patch: Ensure entity types to be str when running prompt tuning +- patch: Fix weight casting during graph extraction +- patch: Patch "past" dependency issues +- patch: Update developer guide. +- patch: Update query type hints. +- patch: change-lancedb-placement + +## 0.3.1 + +- patch: Add preflight check to check LLM connectivity. +- patch: Add streaming support for local/global search to query cli +- patch: Add support for both float and int on schema validation for community report generation +- patch: Avoid running index on gh-pages publishing +- patch: Implement Index API +- patch: Improves filtering for data dir inferring +- patch: Update to nltk 3.9.1 + +## 0.3.0 + +- minor: Implement auto templating API. +- minor: Implement query engine API. +- patch: Fix file dumps using json for non ASCII chars +- patch: Stabilize smoke tests for query context building +- patch: fix query embedding +- patch: fix sort_context & max_tokens params in verb + +## 0.2.2 + +- patch: Add a check if there is no community record added in local search context +- patch: Add sepparate workflow for Python Tests +- patch: Docs updates +- patch: Run smoke tests on 4o + +## 0.2.1 + +- patch: Added default columns for vector store at create_pipeline_config. No change for other cases. +- patch: Change json parsing error in the map step of global search to warning +- patch: Fix Local Search breaking when loading Embeddings input. Defaulting overwrite to True as in the rest of the vector store config +- patch: Fix json parsing when LLM returns faulty responses +- patch: Fix missing community reports and refactor community context builder +- patch: Fixed a bug that erased the vector database, added a new parameter to specify the config file path, and updated the documentation accordingly. +- patch: Try parsing json before even repairing +- patch: Update Prompt Tuning meta prompts with finer examples +- patch: Update default entity extraction and gleaning prompts to reduce hallucinations +- patch: add encoding-model to entity/claim extraction config +- patch: add encoding-model to text chunking config +- patch: add user prompt to history-tracking llm +- patch: update config reader to allow for zero gleans +- patch: update config-reader to allow for empty chunk-by arrays +- patch: update history-tracking LLm to use 'assistant' instead of 'system' in output history. +- patch: use history argument in hash key computation; add history input to cache data + ## 0.2.0 - minor: Add content-based KNN for selecting prompt tune few shot examples diff --git a/CODEOWNERS b/CODEOWNERS index 47b118f4d8..ebfb11b8d4 100644 --- a/CODEOWNERS +++ b/CODEOWNERS @@ -2,5 +2,4 @@ # the repo. Unless a later match takes precedence, # @global-owner1 and @global-owner2 will be requested for # review when someone opens a pull request. -* @microsoft/societal-resilience -* @microsoft/graphrag-core-team +* @microsoft/societal-resilience @microsoft/graphrag-core-team diff --git a/DEVELOPING.md b/DEVELOPING.md index dd1763efa9..dde17fbbaa 100644 --- a/DEVELOPING.md +++ b/DEVELOPING.md @@ -16,7 +16,7 @@ poetry install ``` -## Execute the Indexing Engine +## Executing the Indexing Engine ```sh poetry run poe index <...args> @@ -28,6 +28,13 @@ poetry run poe index <...args> poetry run poe query <...args> ``` +## Versioning + +We use [semversioner](https://github.com/raulgomis/semversioner) to automate and enforce semantic versioning in the release process. Our CI/CD pipeline checks that all PR's include a json file generated by semversioner. When submitting a PR, please run: +```shell +poetry run semversioner add-change -t patch -d "<a small sentence describing changes made>." +``` + # Azurite Some unit and smoke tests use Azurite to emulate Azure resources. This can be started by running: @@ -40,10 +47,9 @@ or by simply running `azurite` in the terminal if already installed globally. Se # Lifecycle Scripts -Our Python package utilizes Poetry to manage dependencies and [poethepoet](https://pypi.org/project/poethepoet/) to manage build scripts. +Our Python package utilizes Poetry to manage dependencies and [poethepoet](https://pypi.org/project/poethepoet/) to manage custom build scripts. Available scripts are: - - `poetry run poe index` - Run the Indexing CLI - `poetry run poe query` - Run the Query CLI - `poetry build` - This invokes `poetry build`, which will build a wheel file and other distributable artifacts. @@ -82,4 +88,4 @@ Make sure you have python3.10-dev installed or more generally `python<version>-d ### LLM call constantly exceeds TPM, RPM or time limits `GRAPHRAG_LLM_THREAD_COUNT` and `GRAPHRAG_EMBEDDING_THREAD_COUNT` are both set to 50 by default. You can modify this values -to reduce concurrency. Please refer to the [Configuration Documents](https://microsoft.github.io/graphrag/posts/config/overview/) +to reduce concurrency. Please refer to the [Configuration Documents](https://microsoft.github.io/graphrag/config/overview/) diff --git a/README.md b/README.md index e60cb56fa4..35f2eb2a1e 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs. -To learn more about GraphRAG and how it can be used to enhance your LLMs ability to reason about your private data, please visit the <a href="https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/" target="_blank">Microsoft Research Blog Post.</a> +To learn more about GraphRAG and how it can be used to enhance your LLM's ability to reason about your private data, please visit the <a href="https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/" target="_blank">Microsoft Research Blog Post.</a> ## Quickstart @@ -45,7 +45,7 @@ This repository presents a methodology for using knowledge graph memory structur ## Prompt Tuning Using _GraphRAG_ with your data out of the box may not yield the best possible results. -We strongly recommend to fine-tune your prompts following the [Prompt Tuning Guide](https://microsoft.github.io/graphrag/posts/prompt_tuning/overview/) in our documentation. +We strongly recommend to fine-tune your prompts following the [Prompt Tuning Guide](https://microsoft.github.io/graphrag/prompt_tuning/overview/) in our documentation. ## Responsible AI FAQ diff --git a/cspell.config.yaml b/cspell.config.yaml index daa90e4825..fb6322a718 100644 --- a/cspell.config.yaml +++ b/cspell.config.yaml @@ -22,9 +22,6 @@ ignorePaths: - entity_extraction.txt - package.json - tests/fixtures/ - - docsite/data/ - - docsite/nbdocsite_template/ - - docsite/posts/query/notebooks/inputs/ - examples_notebooks/inputs/ - "*.csv" - "*.parquet" diff --git a/dictionary.txt b/dictionary.txt index f1cb4ce192..0288faac9a 100644 --- a/dictionary.txt +++ b/dictionary.txt @@ -1,5 +1,8 @@ # Team Alonso +Truitt +Trinh +Fernández # Pythonisms PYTHONPATH @@ -20,6 +23,7 @@ isna getcwd fillna noqa +dtypes # Azure abfs @@ -62,6 +66,8 @@ numpy pypi nbformat semversioner +mkdocs +typer # Library Methods iterrows @@ -84,11 +90,20 @@ isin nocache nbconvert +# HTML +nbsp +onclick +pymdownx +linenums +twemoji +Gephi +gephi +Gephi's + # Verbs binarize prechunked openai -genid umap concat unhot @@ -97,6 +112,9 @@ retryer agenerate aembed dedupe +dropna +dtypes +notna # LLM Terms AOAI @@ -132,11 +150,29 @@ MSRC Arrary # Prompt Inputs -dulce -Asadi ABILA Abila +ALHAMIA +Alhamia +Asadi +Aurelians +Bataglani +BATAGLANI +Bratinas +dulce +Durke +Firuzabad +Firuzabad's +FIRUZABAD +Krohaara +KROHAARA POKRALLY +Tazbah +TIRUZIA +Tiruzia +Tiruzia's +Verdantis +Verdantis's # English skippable @@ -144,3 +180,10 @@ upvote # Misc Arxiv +kwds + +# Dulce +astrotechnician +epitheg +unspooled +unnavigated diff --git a/docs/blog_posts.md b/docs/blog_posts.md new file mode 100644 index 0000000000..b2467a1371 --- /dev/null +++ b/docs/blog_posts.md @@ -0,0 +1,41 @@ + +<div class="grid cards" markdown> + +- [:octicons-arrow-right-24: __GraphRAG: Unlocking LLM discovery on narrative private data__](https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/) + + --- + <h6>Published February 13, 2024 + + By [Jonathan Larson](https://www.microsoft.com/en-us/research/people/jolarso/), Senior Principal Data Architect; [Steven Truitt](https://www.microsoft.com/en-us/research/people/steventruitt/), Principal Program Manager</h6> + + +- [:octicons-arrow-right-24: __GraphRAG: New tool for complex data discovery now on GitHub__](https://www.microsoft.com/en-us/research/blog/graphrag-new-tool-for-complex-data-discovery-now-on-github/) + + --- + <h6>Published July 2, 2024 + + By [Darren Edge](https://www.microsoft.com/en-us/research/people/daedge/), Senior Director; [Ha Trinh](https://www.microsoft.com/en-us/research/people/trinhha/), Senior Data Scientist; [Steven Truitt](https://www.microsoft.com/en-us/research/people/steventruitt/), Principal Program Manager; [Jonathan Larson](https://www.microsoft.com/en-us/research/people/jolarso/), Senior Principal Data Architect</h6> + + +- [:octicons-arrow-right-24: __GraphRAG auto-tuning provides rapid adaptation to new domains__](https://www.microsoft.com/en-us/research/blog/graphrag-auto-tuning-provides-rapid-adaptation-to-new-domains/) + + --- + <h6>Published September 9, 2024 + + By [Alonso Guevara Fernández](https://www.microsoft.com/en-us/research/people/alonsog/), Sr. Software Engineer; Katy Smith, Data Scientist II; [Joshua Bradley](https://www.microsoft.com/en-us/research/people/joshbradley/), Senior Data Scientist; [Darren Edge](https://www.microsoft.com/en-us/research/people/daedge/), Senior Director; [Ha Trinh](https://www.microsoft.com/en-us/research/people/trinhha/), Senior Data Scientist; [Sarah Smith](https://www.microsoft.com/en-us/research/people/smithsarah/), Senior Program Manager; [Ben Cutler](https://www.microsoft.com/en-us/research/people/bcutler/), Senior Director; [Steven Truitt](https://www.microsoft.com/en-us/research/people/steventruitt/), Principal Program Manager; [Jonathan Larson](https://www.microsoft.com/en-us/research/people/jolarso/), Senior Principal Data Architect</h6> + +- [:octicons-arrow-right-24: __Introducing DRIFT Search: Combining global and local search methods to improve quality and efficiency__](https://www.microsoft.com/en-us/research/blog/introducing-drift-search-combining-global-and-local-search-methods-to-improve-quality-and-efficiency/) + + --- + <h6>Published October 31, 2024 + + By Julian Whiting, Senior Machine Learning Engineer; Zachary Hills , Senior Software Engineer; [Alonso Guevara Fernández](https://www.microsoft.com/en-us/research/people/alonsog/), Sr. Software Engineer; [Ha Trinh](https://www.microsoft.com/en-us/research/people/trinhha/), Senior Data Scientist; Adam Bradley , Managing Partner, Strategic Research; [Jonathan Larson](https://www.microsoft.com/en-us/research/people/jolarso/), Senior Principal Data Architect</h6> + +- [:octicons-arrow-right-24: __GraphRAG: Improving global search via dynamic community selection__](https://www.microsoft.com/en-us/research/blog/graphrag-improving-global-search-via-dynamic-community-selection/) + + --- + <h6>Published November 15, 2024 + + By Bryan Li, Research Intern; [Ha Trinh](https://www.microsoft.com/en-us/research/people/trinhha/), Senior Data Scientist; [Darren Edge](https://www.microsoft.com/en-us/research/people/daedge/), Senior Director; [Jonathan Larson](https://www.microsoft.com/en-us/research/people/jolarso/), Senior Principal Data Architect</h6> + +</div> \ No newline at end of file diff --git a/docs/cli.md b/docs/cli.md new file mode 100644 index 0000000000..fb8c7e38db --- /dev/null +++ b/docs/cli.md @@ -0,0 +1,9 @@ +# CLI Reference + +This page documents the command-line interface of the graphrag library. + +::: mkdocs-typer + :module: graphrag.cli.main + :prog_name: graphrag + :command: app + :depth: 0 diff --git a/docsite/posts/config/env_vars.md b/docs/config/env_vars.md similarity index 90% rename from docsite/posts/config/env_vars.md rename to docs/config/env_vars.md index 0dd133d6c9..6632ace9e4 100644 --- a/docsite/posts/config/env_vars.md +++ b/docs/config/env_vars.md @@ -1,10 +1,4 @@ ---- -title: Default Configuration Mode (using Env Vars) -navtitle: Using Env Vars -tags: [post] -layout: page -date: 2023-01-03 ---- +# Default Configuration Mode (using Env Vars) ## Text-Embeddings Customization @@ -15,8 +9,8 @@ If the embedding target is `all`, and you want to only embed a subset of these f ### Embedded Fields - `text_unit.text` -- `document.raw_content` -- `entity.name` +- `document.text` +- `entity.title` - `entity.description` - `relationship.description` - `community.title` @@ -25,7 +19,7 @@ If the embedding target is `all`, and you want to only embed a subset of these f ## Input Data -Our pipeline can ingest .csv or .txt data from an input folder. These files can be nested within subfolders. To configure how input data is handled, what fields are mapped over, and how timestamps are parsed, look for configuration values starting with `GRAPHRAG_INPUT_` below. In general, CSV-based data provides the most customizeability. Each CSV should at least contain a `text` field (which can be mapped with environment variables), but it's helpful if they also have `title`, `timestamp`, and `source` fields. Additional fields can be included as well, which will land as extra fields on the `Document` table. +Our pipeline can ingest .csv or .txt data from an input folder. These files can be nested within subfolders. To configure how input data is handled, what fields are mapped over, and how timestamps are parsed, look for configuration values starting with `GRAPHRAG_INPUT_` below. In general, CSV-based data provides the most customizability. Each CSV should at least contain a `text` field (which can be mapped with environment variables), but it's helpful if they also have `title`, `timestamp`, and `source` fields. Additional fields can be included as well, which will land as extra fields on the `Document` table. ## Base LLM Settings @@ -93,7 +87,6 @@ These settings control the text embedding model used by the pipeline. Any settin | `GRAPHRAG_EMBEDDING_REQUESTS_PER_MINUTE` | | The number of requests per minute to allow for the embedding client. 0 = Bypass | `int` | 0 | | `GRAPHRAG_EMBEDDING_MAX_RETRIES` | | The maximum number of retries to attempt when a request fails. | `int` | 10 | | `GRAPHRAG_EMBEDDING_MAX_RETRY_WAIT` | | The maximum number of seconds to wait between retries. | `int` | 10 | -| `GRAPHRAG_EMBEDDING_TARGET` | | The target fields to embed. Either `required` or `all`. | `str` | `required` | | `GRAPHRAG_EMBEDDING_SLEEP_ON_RATE_LIMIT_RECOMMENDATION` | | Whether to sleep on rate limit recommendation. (Azure Only) | `bool` | `True` | ## Input Settings @@ -132,11 +125,12 @@ These settings control the data input used by the pipeline. Any settings with a ## Data Chunking -| Parameter | Description | Type | Required or Optional | Default | -| --------------------------- | ------------------------------------------------------------------------------------------- | ----- | -------------------- | ------- | -| `GRAPHRAG_CHUNK_SIZE` | The chunk size in tokens for text-chunk analysis windows. | `str` | optional | 1200 | -| `GRAPHRAG_CHUNK_OVERLAP` | The chunk overlap in tokens for text-chunk analysis windows. | `str` | optional | 100 | -| `GRAPHRAG_CHUNK_BY_COLUMNS` | A comma-separated list of document attributes to groupby when performing TextUnit chunking. | `str` | optional | `id` | +| Parameter | Description | Type | Required or Optional | Default | +| ------------------------------- | ------------------------------------------------------------------------------------------- | ----- | -------------------- | ----------------------------- | +| `GRAPHRAG_CHUNK_SIZE` | The chunk size in tokens for text-chunk analysis windows. | `str` | optional | 1200 | +| `GRAPHRAG_CHUNK_OVERLAP` | The chunk overlap in tokens for text-chunk analysis windows. | `str` | optional | 100 | +| `GRAPHRAG_CHUNK_BY_COLUMNS` | A comma-separated list of document attributes to groupby when performing TextUnit chunking. | `str` | optional | `id` | +| `GRAPHRAG_CHUNK_ENCODING_MODEL` | The encoding model to use for chunking. | `str` | optional | The top-level encoding model. | ## Prompting Overrides @@ -145,12 +139,14 @@ These settings control the data input used by the pipeline. Any settings with a | `GRAPHRAG_ENTITY_EXTRACTION_PROMPT_FILE` | The path (relative to the root) of an entity extraction prompt template text file. | `str` | optional | `None` | | `GRAPHRAG_ENTITY_EXTRACTION_MAX_GLEANINGS` | The maximum number of redrives (gleanings) to invoke when extracting entities in a loop. | `int` | optional | 1 | | `GRAPHRAG_ENTITY_EXTRACTION_ENTITY_TYPES` | A comma-separated list of entity types to extract. | `str` | optional | `organization,person,event,geo` | +| `GRAPHRAG_ENTITY_EXTRACTION_ENCODING_MODEL` | The encoding model to use for entity extraction. | `str` | optional | The top-level encoding model. | | `GRAPHRAG_SUMMARIZE_DESCRIPTIONS_PROMPT_FILE` | The path (relative to the root) of an description summarization prompt template text file. | `str` | optional | `None` | | `GRAPHRAG_SUMMARIZE_DESCRIPTIONS_MAX_LENGTH` | The maximum number of tokens to generate per description summarization. | `int` | optional | 500 | | `GRAPHRAG_CLAIM_EXTRACTION_ENABLED` | Whether claim extraction is enabled for this pipeline. | `bool` | optional | `False` | | `GRAPHRAG_CLAIM_EXTRACTION_DESCRIPTION` | The claim_description prompting argument to utilize. | `string` | optional | "Any claims or facts that could be relevant to threat analysis." | | `GRAPHRAG_CLAIM_EXTRACTION_PROMPT_FILE` | The claim extraction prompt to utilize. | `string` | optional | `None` | | `GRAPHRAG_CLAIM_EXTRACTION_MAX_GLEANINGS` | The maximum number of redrives (gleanings) to invoke when extracting claims in a loop. | `int` | optional | 1 | +| `GRAPHRAG_CLAIM_EXTRACTION_ENCODING_MODEL` | The encoding model to use for claim extraction. | `str` | optional | The top-level encoding model | | `GRAPHRAG_COMMUNITY_REPORTS_PROMPT_FILE` | The community reports extraction prompt to utilize. | `string` | optional | `None` | | `GRAPHRAG_COMMUNITY_REPORTS_MAX_LENGTH` | The maximum number of tokens to generate per community reports. | `int` | optional | 1500 | @@ -176,7 +172,7 @@ This section controls the cache mechanism used by the pipeline. This is used to | `GRAPHRAG_CACHE_STORAGE_ACCOUNT_BLOB_URL` | The Azure Storage blob endpoint to use when in `blob` mode and using managed identity. Will have the format `https://<storage_account_name>.blob.core.windows.net` | `str` | optional | None | | `GRAPHRAG_CACHE_CONNECTION_STRING` | The Azure Storage connection string to use when in `blob` mode. | `str` | optional | None | | `GRAPHRAG_CACHE_CONTAINER_NAME` | The Azure Storage container name to use when in `blob` mode. | `str` | optional | None | -| `GRAPHRAG_CACHE_BASE_DIR` | The base path to the reporting outputs. | `str` | optional | None | +| `GRAPHRAG_CACHE_BASE_DIR` | The base path to the cache files. | `str` | optional | None | ## Reporting @@ -203,11 +199,13 @@ This section controls the reporting mechanism used by the pipeline, for common e ## Data Snapshotting -| Parameter | Description | Type | Required or Optional | Default | -| ----------------------------------- | ------------------------------------------- | ------ | -------------------- | ------- | -| `GRAPHRAG_SNAPSHOT_GRAPHML` | Whether to enable GraphML snapshots. | `bool` | optional | False | -| `GRAPHRAG_SNAPSHOT_RAW_ENTITIES` | Whether to enable raw entity snapshots. | `bool` | optional | False | -| `GRAPHRAG_SNAPSHOT_TOP_LEVEL_NODES` | Whether to enable top-level node snapshots. | `bool` | optional | False | +| Parameter | Description | Type | Required or Optional | Default | +| -------------------------------------- | ----------------------------------------------- | ------ | -------------------- | ------- | +| `GRAPHRAG_SNAPSHOT_EMBEDDINGS` | Whether to enable embeddings snapshots. | `bool` | optional | False | +| `GRAPHRAG_SNAPSHOT_GRAPHML` | Whether to enable GraphML snapshots. | `bool` | optional | False | +| `GRAPHRAG_SNAPSHOT_RAW_ENTITIES` | Whether to enable raw entity snapshots. | `bool` | optional | False | +| `GRAPHRAG_SNAPSHOT_TOP_LEVEL_NODES` | Whether to enable top-level node snapshots. | `bool` | optional | False | +| `GRAPHRAG_SNAPSHOT_TRANSIENT` | Whether to enable transient table snapshots. | `bool` | optional | False | # Miscellaneous Settings diff --git a/docs/config/init.md b/docs/config/init.md new file mode 100644 index 0000000000..c3682bde92 --- /dev/null +++ b/docs/config/init.md @@ -0,0 +1,31 @@ +# Configuring GraphRAG Indexing + +To start using GraphRAG, you must generate a configuration file. The `init` command is the easiest way to get started. It will create a `.env` and `settings.yaml` files in the specified directory with the necessary configuration settings. It will also output the default LLM prompts used by GraphRAG. + +## Usage + +```sh +graphrag init [--root PATH] +``` + +## Options + +- `--root PATH` - The project root directory to initialize graphrag at. Default is the current directory. + +## Example + +```sh +graphrag init --root ./ragtest +``` + +## Output + +The `init` command will create the following files in the specified directory: + +- `settings.yaml` - The configuration settings file. This file contains the configuration settings for GraphRAG. +- `.env` - The environment variables file. These are referenced in the `settings.yaml` file. +- `prompts/` - The LLM prompts folder. This contains the default prompts used by GraphRAG, you can modify them or run the [Auto Prompt Tuning](../prompt_tuning/auto_prompt_tuning.md) command to generate new prompts adapted to your data. + +## Next Steps + +After initializing your workspace, you can either run the [Prompt Tuning](../prompt_tuning/auto_prompt_tuning.md) command to adapt the prompts to your data or even start running the [Indexing Pipeline](../index/overview.md) to index your data. For more information on configuring GraphRAG, see the [Configuration](overview.md) documentation. diff --git a/docs/config/overview.md b/docs/config/overview.md new file mode 100644 index 0000000000..7b8a08bf84 --- /dev/null +++ b/docs/config/overview.md @@ -0,0 +1,11 @@ +# Configuring GraphRAG Indexing + +The GraphRAG system is highly configurable. This page provides an overview of the configuration options available for the GraphRAG indexing engine. + +## Default Configuration Mode + +The default configuration mode is the simplest way to get started with the GraphRAG system. It is designed to work out-of-the-box with minimal configuration. The primary configuration sections for the Indexing Engine pipelines are described below. The main ways to set up GraphRAG in Default Configuration mode are via: + +- [Init command](init.md) (recommended) +- [Using YAML for deeper control](yaml.md) +- [Purely using environment variables](env_vars.md) diff --git a/docs/config/yaml.md b/docs/config/yaml.md new file mode 100644 index 0000000000..5b4012570c --- /dev/null +++ b/docs/config/yaml.md @@ -0,0 +1,312 @@ +# Default Configuration Mode (using YAML/JSON) + +The default configuration mode may be configured by using a `settings.yml` or `settings.json` file in the data project root. If a `.env` file is present along with this config file, then it will be loaded, and the environment variables defined therein will be available for token replacements in your configuration document using `${ENV_VAR}` syntax. We initialize with YML by default in `graphrag init` but you may use the equivalent JSON form if preferred. + +Many of these config values have defaults. Rather than replicate them here, please refer to the [constants in the code](https://github.com/microsoft/graphrag/blob/main/graphrag/config/defaults.py) directly. + +For example: + +``` +# .env +GRAPHRAG_API_KEY=some_api_key + +# settings.yml +llm: + api_key: ${GRAPHRAG_API_KEY} +``` + +# Config Sections + +## Indexing + +### llm + +This is the base LLM configuration section. Other steps may override this configuration with their own LLM configuration. + +#### Fields + +- `api_key` **str** - The OpenAI API key to use. +- `type` **openai_chat|azure_openai_chat|openai_embedding|azure_openai_embedding** - The type of LLM to use. +- `model` **str** - The model name. +- `max_tokens` **int** - The maximum number of output tokens. +- `request_timeout` **float** - The per-request timeout. +- `api_base` **str** - The API base url to use. +- `api_version` **str** - The API version +- `organization` **str** - The client organization. +- `proxy` **str** - The proxy URL to use. +- `audience` **str** - (Azure OpenAI only) The URI of the target Azure resource/service for which a managed identity token is requested. Used if `api_key` is not defined. Default=`https://cognitiveservices.azure.com/.default` +- `deployment_name` **str** - The deployment name to use (Azure). +- `model_supports_json` **bool** - Whether the model supports JSON-mode output. +- `tokens_per_minute` **int** - Set a leaky-bucket throttle on tokens-per-minute. +- `requests_per_minute` **int** - Set a leaky-bucket throttle on requests-per-minute. +- `max_retries` **int** - The maximum number of retries to use. +- `max_retry_wait` **float** - The maximum backoff time. +- `sleep_on_rate_limit_recommendation` **bool** - Whether to adhere to sleep recommendations (Azure). +- `concurrent_requests` **int** The number of open requests to allow at once. +- `temperature` **float** - The temperature to use. +- `top_p` **float** - The top-p value to use. +- `n` **int** - The number of completions to generate. + +### parallelization + +#### Fields + +- `stagger` **float** - The threading stagger value. +- `num_threads` **int** - The maximum number of work threads. + +### async_mode + +**asyncio|threaded** The async mode to use. Either `asyncio` or `threaded. + +### embeddings + +#### Fields + +- `llm` (see LLM top-level config) +- `parallelization` (see Parallelization top-level config) +- `async_mode` (see Async Mode top-level config) +- `batch_size` **int** - The maximum batch size to use. +- `batch_max_tokens` **int** - The maximum batch # of tokens. +- `target` **required|all|none** - Determines which set of embeddings to emit. +- `skip` **list[str]** - Which embeddings to skip. Only useful if target=all to customize the list. +- `vector_store` **dict** - The vector store to use. Configured for lancedb by default. + - `type` **str** - `lancedb` or `azure_ai_search`. Default=`lancedb` + - `db_uri` **str** (only for lancedb) - The database uri. Default=`storage.base_dir/lancedb` + - `url` **str** (only for AI Search) - AI Search endpoint + - `api_key` **str** (optional - only for AI Search) - The AI Search api key to use. + - `audience` **str** (only for AI Search) - Audience for managed identity token if managed identity authentication is used. + - `overwrite` **bool** (only used at index creation time) - Overwrite collection if it exist. Default=`True` + - `container_name` **str** - The name of a vector container. This stores all indexes (tables) for a given dataset ingest. Default=`default` +- `strategy` **dict** - Fully override the text-embedding strategy. + +### input + +#### Fields + +- `type` **file|blob** - The input type to use. Default=`file` +- `file_type` **text|csv** - The type of input data to load. Either `text` or `csv`. Default is `text` +- `base_dir` **str** - The base directory to read input from, relative to the root. +- `connection_string` **str** - (blob only) The Azure Storage connection string. +- `storage_account_blob_url` **str** - The storage account blob URL to use. +- `container_name` **str** - (blob only) The Azure Storage container name. +- `file_encoding` **str** - The encoding of the input file. Default is `utf-8` +- `file_pattern` **str** - A regex to match input files. Default is `.*\.csv$` if in csv mode and `.*\.txt$` if in text mode. +- `file_filter` **dict** - Key/value pairs to filter. Default is None. +- `source_column` **str** - (CSV Mode Only) The source column name. +- `timestamp_column` **str** - (CSV Mode Only) The timestamp column name. +- `timestamp_format` **str** - (CSV Mode Only) The source format. +- `text_column` **str** - (CSV Mode Only) The text column name. +- `title_column` **str** - (CSV Mode Only) The title column name. +- `document_attribute_columns` **list[str]** - (CSV Mode Only) The additional document attributes to include. + +### chunks + +#### Fields + +- `size` **int** - The max chunk size in tokens. +- `overlap` **int** - The chunk overlap in tokens. +- `group_by_columns` **list[str]** - group documents by fields before chunking. +- `encoding_model` **str** - The text encoding model to use. Default is to use the top-level encoding model. +- `strategy` **dict** - Fully override the chunking strategy. + +### cache + +#### Fields + +- `type` **file|memory|none|blob** - The cache type to use. Default=`file` +- `connection_string` **str** - (blob only) The Azure Storage connection string. +- `container_name` **str** - (blob only) The Azure Storage container name. +- `base_dir` **str** - The base directory to write cache to, relative to the root. +- `storage_account_blob_url` **str** - The storage account blob URL to use. + +### storage + +#### Fields + +- `type` **file|memory|blob** - The storage type to use. Default=`file` +- `connection_string` **str** - (blob only) The Azure Storage connection string. +- `container_name` **str** - (blob only) The Azure Storage container name. +- `base_dir` **str** - The base directory to write output artifacts to, relative to the root. +- `storage_account_blob_url` **str** - The storage account blob URL to use. + +### update_index_storage + +#### Fields + +- `type` **file|memory|blob** - The storage type to use. Default=`file` +- `connection_string` **str** - (blob only) The Azure Storage connection string. +- `container_name` **str** - (blob only) The Azure Storage container name. +- `base_dir` **str** - The base directory to write output artifacts to, relative to the root. +- `storage_account_blob_url` **str** - The storage account blob URL to use. + +### reporting + +#### Fields + +- `type` **file|console|blob** - The reporting type to use. Default=`file` +- `connection_string` **str** - (blob only) The Azure Storage connection string. +- `container_name` **str** - (blob only) The Azure Storage container name. +- `base_dir` **str** - The base directory to write reports to, relative to the root. +- `storage_account_blob_url` **str** - The storage account blob URL to use. + +### entity_extraction + +#### Fields + +- `llm` (see LLM top-level config) +- `parallelization` (see Parallelization top-level config) +- `async_mode` (see Async Mode top-level config) +- `prompt` **str** - The prompt file to use. +- `entity_types` **list[str]** - The entity types to identify. +- `max_gleanings` **int** - The maximum number of gleaning cycles to use. +- `encoding_model` **str** - The text encoding model to use. By default, this will use the top-level encoding model. +- `strategy` **dict** - Fully override the entity extraction strategy. + +### summarize_descriptions + +#### Fields + +- `llm` (see LLM top-level config) +- `parallelization` (see Parallelization top-level config) +- `async_mode` (see Async Mode top-level config) +- `prompt` **str** - The prompt file to use. +- `max_length` **int** - The maximum number of output tokens per summarization. +- `strategy` **dict** - Fully override the summarize description strategy. + +### claim_extraction + +#### Fields + +- `enabled` **bool** - Whether to enable claim extraction. Off by default, because claim prompts really need user tuning. +- `llm` (see LLM top-level config) +- `parallelization` (see Parallelization top-level config) +- `async_mode` (see Async Mode top-level config) +- `prompt` **str** - The prompt file to use. +- `description` **str** - Describes the types of claims we want to extract. +- `max_gleanings` **int** - The maximum number of gleaning cycles to use. +- `encoding_model` **str** - The text encoding model to use. By default, this will use the top-level encoding model. +- `strategy` **dict** - Fully override the claim extraction strategy. + +### community_reports + +#### Fields + +- `llm` (see LLM top-level config) +- `parallelization` (see Parallelization top-level config) +- `async_mode` (see Async Mode top-level config) +- `prompt` **str** - The prompt file to use. +- `max_length` **int** - The maximum number of output tokens per report. +- `max_input_length` **int** - The maximum number of input tokens to use when generating reports. +- `strategy` **dict** - Fully override the community reports strategy. + +### cluster_graph + +#### Fields + +- `max_cluster_size` **int** - The maximum cluster size to emit. +- `strategy` **dict** - Fully override the cluster_graph strategy. + +### embed_graph + +#### Fields + +- `enabled` **bool** - Whether to enable graph embeddings. +- `num_walks` **int** - The node2vec number of walks. +- `walk_length` **int** - The node2vec walk length. +- `window_size` **int** - The node2vec window size. +- `iterations` **int** - The node2vec number of iterations. +- `random_seed` **int** - The node2vec random seed. +- `strategy` **dict** - Fully override the embed graph strategy. + +### umap + +#### Fields + +- `enabled` **bool** - Whether to enable UMAP layouts. + +### snapshots + +#### Fields + +- `embeddings` **bool** - Emit embeddings snapshots to parquet. +- `graphml` **bool** - Emit graph snapshots to GraphML. +- `raw_entities` **bool** - Emit raw entity snapshots to JSON. +- `top_level_nodes` **bool** - Emit top-level-node snapshots to JSON. +- `transient` **bool** - Emit transient workflow tables snapshots to parquet. + +### encoding_model + +**str** - The text encoding model to use. Default=`cl100k_base`. + +### skip_workflows + +**list[str]** - Which workflow names to skip. + +## Query + +### local_search + +#### Fields + +- `prompt` **str** - The prompt file to use. +- `text_unit_prop` **float** - The text unit proportion. +- `community_prop` **float** - The community proportion. +- `conversation_history_max_turns` **int** - The conversation history maximum turns. +- `top_k_entities` **int** - The top k mapped entities. +- `top_k_relationships` **int** - The top k mapped relations. +- `temperature` **float | None** - The temperature to use for token generation. +- `top_p` **float | None** - The top-p value to use for token generation. +- `n` **int | None** - The number of completions to generate. +- `max_tokens` **int** - The maximum tokens. +- `llm_max_tokens` **int** - The LLM maximum tokens. + +### global_search + +#### Fields + +- `map_prompt` **str** - The mapper prompt file to use. +- `reduce_prompt` **str** - The reducer prompt file to use. +- `knowledge_prompt` **str** - The knowledge prompt file to use. +- `map_prompt` **str | None** - The global search mapper prompt to use. +- `reduce_prompt` **str | None** - The global search reducer to use. +- `knowledge_prompt` **str | None** - The global search general prompt to use. +- `temperature` **float | None** - The temperature to use for token generation. +- `top_p` **float | None** - The top-p value to use for token generation. +- `n` **int | None** - The number of completions to generate. +- `max_tokens` **int** - The maximum context size in tokens. +- `data_max_tokens` **int** - The data llm maximum tokens. +- `map_max_tokens` **int** - The map llm maximum tokens. +- `reduce_max_tokens` **int** - The reduce llm maximum tokens. +- `concurrency` **int** - The number of concurrent requests. +- `dynamic_search_llm` **str** - LLM model to use for dynamic community selection. +- `dynamic_search_threshold` **int** - Rating threshold in include a community report. +- `dynamic_search_keep_parent` **bool** - Keep parent community if any of the child communities are relevant. +- `dynamic_search_num_repeats` **int** - Number of times to rate the same community report. +- `dynamic_search_use_summary` **bool** - Use community summary instead of full_context. +- `dynamic_search_concurrent_coroutines` **int** - Number of concurrent coroutines to rate community reports. +- `dynamic_search_max_level` **int** - The maximum level of community hierarchy to consider if none of the processed communities are relevant. + +### drift_search + +#### Fields + +- `prompt` **str** - The prompt file to use. +- `temperature` **float** - The temperature to use for token generation.", +- `top_p` **float** - The top-p value to use for token generation. +- `n` **int** - The number of completions to generate. +- `max_tokens` **int** - The maximum context size in tokens. +- `data_max_tokens` **int** - The data llm maximum tokens. +- `concurrency` **int** - The number of concurrent requests. +- `drift_k_followups` **int** - The number of top global results to retrieve. +- `primer_folds` **int** - The number of folds for search priming. +- `primer_llm_max_tokens` **int** - The maximum number of tokens for the LLM in primer. +- `n_depth` **int** - The number of drift search steps to take. +- `local_search_text_unit_prop` **float** - The proportion of search dedicated to text units. +- `local_search_community_prop` **float** - The proportion of search dedicated to community properties. +- `local_search_top_k_mapped_entities` **int** - The number of top K entities to map during local search. +- `local_search_top_k_relationships` **int** - The number of top K relationships to map during local search. +- `local_search_max_data_tokens` **int** - The maximum context size in tokens for local search. +- `local_search_temperature` **float** - The temperature to use for token generation in local search. +- `local_search_top_p` **float** - The top-p value to use for token generation in local search. +- `local_search_n` **int** - The number of completions to generate in local search. +- `local_search_llm_max_gen_tokens` **int** - The maximum number of generated tokens for the LLM in local search. diff --git a/docsite/data/operation_dulce/ABOUT.md b/docs/data/operation_dulce/ABOUT.md similarity index 100% rename from docsite/data/operation_dulce/ABOUT.md rename to docs/data/operation_dulce/ABOUT.md diff --git a/docsite/data/operation_dulce/Operation Dulce v2 1 1.md b/docs/data/operation_dulce/Operation Dulce v2 1 1.md similarity index 100% rename from docsite/data/operation_dulce/Operation Dulce v2 1 1.md rename to docs/data/operation_dulce/Operation Dulce v2 1 1.md diff --git a/docs/data/operation_dulce/dataset.zip b/docs/data/operation_dulce/dataset.zip new file mode 100644 index 0000000000..4697bd10bd Binary files /dev/null and b/docs/data/operation_dulce/dataset.zip differ diff --git a/docsite/posts/developing.md b/docs/developing.md similarity index 95% rename from docsite/posts/developing.md rename to docs/developing.md index f4a83dc77a..83165313d4 100644 --- a/docsite/posts/developing.md +++ b/docs/developing.md @@ -1,9 +1,4 @@ ---- -title: Developing GraphRAG -navtitle: Developing -layout: page -tags: [post] ---- +# Development Guide # Requirements @@ -86,5 +81,5 @@ Make sure you have python3.10-dev installed or more generally `python<version>-d ### LLM call constantly exceeds TPM, RPM or time limits -`GRAPHRAG_LLM_THREAD_COUNT` and `GRAPHRAG_EMBEDDING_THREAD_COUNT` are both set to 50 by default. You can modify this values -to reduce concurrency. Please refer to the [Configuration Documents](../config/overview) +`GRAPHRAG_LLM_THREAD_COUNT` and `GRAPHRAG_EMBEDDING_THREAD_COUNT` are both set to 50 by default. You can modify these values +to reduce concurrency. Please refer to the [Configuration Documents](config/overview.md) diff --git a/docs/examples_notebooks/drift_search.ipynb b/docs/examples_notebooks/drift_search.ipynb new file mode 100644 index 0000000000..c1b06a564d --- /dev/null +++ b/docs/examples_notebooks/drift_search.ipynb @@ -0,0 +1,3194 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Copyright (c) 2024 Microsoft Corporation.\n", + "# Licensed under the MIT License." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Entity count: 434\n", + "Relationship count: 276\n", + "Text unit records: 12\n" + ] + }, + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + "\n", + " .dataframe tbody tr th {\n", + " vertical-align: top;\n", + " }\n", + "\n", + " .dataframe thead th {\n", + " text-align: right;\n", + " }\n", + "</style>\n", + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr style=\"text-align: right;\">\n", + " <th></th>\n", + " <th>id</th>\n", + " <th>text</th>\n", + " <th>n_tokens</th>\n", + " <th>document_ids</th>\n", + " <th>entity_ids</th>\n", + " <th>relationship_ids</th>\n", + " <th>covariate_ids</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>2cf7a230c367a2dfaf0fc3c903eb8948</td>\n", + " <td># Operation: Dulce\\n\\n## Chapter 1\\n\\nThe thru...</td>\n", + " <td>2500</td>\n", + " <td>[958fdd043f17ade63cb13570b59df295]</td>\n", + " <td>[b45241d70f0e43fca764df95b2b81f77, 4119fd06010...</td>\n", + " <td>[b35c3d1a7daa4924b6bdb58bc69c354d, a97e2ecd870...</td>\n", + " <td>[ad5a2020-cdec-4982-acdf-dbe5ee530066, 9d8a0fe...</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>6d1255303acb7c9dc951cb0f5fc3042c</td>\n", + " <td>be the same.\\n\\n\\*\\n\\nThe sense of foreboding...</td>\n", + " <td>2500</td>\n", + " <td>[958fdd043f17ade63cb13570b59df295]</td>\n", + " <td>[b45241d70f0e43fca764df95b2b81f77, 4119fd06010...</td>\n", + " <td>[b35c3d1a7daa4924b6bdb58bc69c354d, a97e2ecd870...</td>\n", + " <td>[5d1c9126-c48d-4755-9f9c-f739c823f95f, ec64a42...</td>\n", + " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>e841f178310356740b2ee9101d12c97f</td>\n", + " <td>. \"Your take on these signal inconsistencies?\"...</td>\n", + " <td>2500</td>\n", + " <td>[958fdd043f17ade63cb13570b59df295]</td>\n", + " <td>[b45241d70f0e43fca764df95b2b81f77, 4119fd06010...</td>\n", + " <td>[b35c3d1a7daa4924b6bdb58bc69c354d, a97e2ecd870...</td>\n", + " <td>[0b22a34b-32e9-46a4-a0e8-d3d5466eba15, 7e14972...</td>\n", + " </tr>\n", + " <tr>\n", + " <th>3</th>\n", + " <td>f36d96862b9366d7240b5c7ceb04f12b</td>\n", + " <td>, absorbed in the bewilderment of contact, whi...</td>\n", + " <td>2500</td>\n", + " <td>[958fdd043f17ade63cb13570b59df295]</td>\n", + " <td>[b45241d70f0e43fca764df95b2b81f77, 4119fd06010...</td>\n", + " <td>[b35c3d1a7daa4924b6bdb58bc69c354d, 09f18f81442...</td>\n", + " <td>[9cd6d645-ab97-4b39-b02e-647cea9b5545, 50dc124...</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>f7d43808d2fb452cd953bf50c6de6bd4</td>\n", + " <td>were at once coherent and enigmatic: \"*Voyage...</td>\n", + " <td>2500</td>\n", + " <td>[958fdd043f17ade63cb13570b59df295]</td>\n", + " <td>[b45241d70f0e43fca764df95b2b81f77, 4119fd06010...</td>\n", + " <td>[e02be3e37ca0454883a4c1fd859c24bb, 1dbc51475cb...</td>\n", + " <td>[87cf5900-6211-4e04-9115-50f3617c88b4]</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " id \\\n", + "0 2cf7a230c367a2dfaf0fc3c903eb8948 \n", + "1 6d1255303acb7c9dc951cb0f5fc3042c \n", + "2 e841f178310356740b2ee9101d12c97f \n", + "3 f36d96862b9366d7240b5c7ceb04f12b \n", + "4 f7d43808d2fb452cd953bf50c6de6bd4 \n", + "\n", + " text n_tokens \\\n", + "0 # Operation: Dulce\\n\\n## Chapter 1\\n\\nThe thru... 2500 \n", + "1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding... 2500 \n", + "2 . \"Your take on these signal inconsistencies?\"... 2500 \n", + "3 , absorbed in the bewilderment of contact, whi... 2500 \n", + "4 were at once coherent and enigmatic: \"*Voyage... 2500 \n", + "\n", + " document_ids \\\n", + "0 [958fdd043f17ade63cb13570b59df295] \n", + "1 [958fdd043f17ade63cb13570b59df295] \n", + "2 [958fdd043f17ade63cb13570b59df295] \n", + "3 [958fdd043f17ade63cb13570b59df295] \n", + "4 [958fdd043f17ade63cb13570b59df295] \n", + "\n", + " entity_ids \\\n", + "0 [b45241d70f0e43fca764df95b2b81f77, 4119fd06010... \n", + "1 [b45241d70f0e43fca764df95b2b81f77, 4119fd06010... \n", + "2 [b45241d70f0e43fca764df95b2b81f77, 4119fd06010... \n", + "3 [b45241d70f0e43fca764df95b2b81f77, 4119fd06010... \n", + "4 [b45241d70f0e43fca764df95b2b81f77, 4119fd06010... \n", + "\n", + " relationship_ids \\\n", + "0 [b35c3d1a7daa4924b6bdb58bc69c354d, a97e2ecd870... \n", + "1 [b35c3d1a7daa4924b6bdb58bc69c354d, a97e2ecd870... \n", + "2 [b35c3d1a7daa4924b6bdb58bc69c354d, a97e2ecd870... \n", + "3 [b35c3d1a7daa4924b6bdb58bc69c354d, 09f18f81442... \n", + "4 [e02be3e37ca0454883a4c1fd859c24bb, 1dbc51475cb... \n", + "\n", + " covariate_ids \n", + "0 [ad5a2020-cdec-4982-acdf-dbe5ee530066, 9d8a0fe... \n", + "1 [5d1c9126-c48d-4755-9f9c-f739c823f95f, ec64a42... \n", + "2 [0b22a34b-32e9-46a4-a0e8-d3d5466eba15, 7e14972... \n", + "3 [9cd6d645-ab97-4b39-b02e-647cea9b5545, 50dc124... \n", + "4 [87cf5900-6211-4e04-9115-50f3617c88b4] " + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import os\n", + "from pathlib import Path\n", + "\n", + "import pandas as pd\n", + "import tiktoken\n", + "\n", + "from graphrag.query.indexer_adapters import (\n", + " read_indexer_entities,\n", + " read_indexer_relationships,\n", + " read_indexer_reports,\n", + " read_indexer_text_units,\n", + ")\n", + "from graphrag.query.input.loaders.dfs import (\n", + " store_entity_semantic_embeddings,\n", + ")\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", + "from graphrag.query.structured_search.drift_search.drift_context import (\n", + " DRIFTSearchContextBuilder,\n", + ")\n", + "from graphrag.query.structured_search.drift_search.search import DRIFTSearch\n", + "from graphrag.vector_stores.lancedb import LanceDBVectorStore\n", + "\n", + "INPUT_DIR = \"./inputs/operation dulce\"\n", + "LANCEDB_URI = f\"{INPUT_DIR}/lancedb\"\n", + "\n", + "COMMUNITY_REPORT_TABLE = \"create_final_community_reports\"\n", + "ENTITY_TABLE = \"create_final_nodes\"\n", + "ENTITY_EMBEDDING_TABLE = \"create_final_entities\"\n", + "RELATIONSHIP_TABLE = \"create_final_relationships\"\n", + "COVARIATE_TABLE = \"create_final_covariates\"\n", + "TEXT_UNIT_TABLE = \"create_final_text_units\"\n", + "COMMUNITY_LEVEL = 2\n", + "\n", + "\n", + "# read nodes table to get community and degree data\n", + "entity_df = pd.read_parquet(f\"{INPUT_DIR}/{ENTITY_TABLE}.parquet\")\n", + "entity_embedding_df = pd.read_parquet(f\"{INPUT_DIR}/{ENTITY_EMBEDDING_TABLE}.parquet\")\n", + "\n", + "entities = read_indexer_entities(entity_df, entity_embedding_df, COMMUNITY_LEVEL)\n", + "\n", + "# load description embeddings to an in-memory lancedb vectorstore\n", + "# to connect to a remote db, specify url and port values.\n", + "description_embedding_store = LanceDBVectorStore(\n", + " collection_name=\"default-entity-description\",\n", + ")\n", + "description_embedding_store.connect(db_uri=LANCEDB_URI)\n", + "entity_description_embeddings = store_entity_semantic_embeddings(\n", + " entities=entities, vectorstore=description_embedding_store\n", + ")\n", + "\n", + "print(f\"Entity count: {len(entity_df)}\")\n", + "entity_df.head()\n", + "\n", + "relationship_df = pd.read_parquet(f\"{INPUT_DIR}/{RELATIONSHIP_TABLE}.parquet\")\n", + "relationships = read_indexer_relationships(relationship_df)\n", + "\n", + "print(f\"Relationship count: {len(relationship_df)}\")\n", + "relationship_df.head()\n", + "\n", + "text_unit_df = pd.read_parquet(f\"{INPUT_DIR}/{TEXT_UNIT_TABLE}.parquet\")\n", + "text_units = read_indexer_text_units(text_unit_df)\n", + "\n", + "print(f\"Text unit records: {len(text_unit_df)}\")\n", + "text_unit_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "api_key = os.environ[\"GRAPHRAG_API_KEY\"]\n", + "llm_model = os.environ[\"GRAPHRAG_LLM_MODEL\"]\n", + "embedding_model = os.environ[\"GRAPHRAG_EMBEDDING_MODEL\"]\n", + "\n", + "chat_llm = ChatOpenAI(\n", + " api_key=api_key,\n", + " model=llm_model,\n", + " api_type=OpenaiApiType.OpenAI, # OpenaiApiType.OpenAI or OpenaiApiType.AzureOpenAI\n", + " max_retries=20,\n", + ")\n", + "\n", + "token_encoder = tiktoken.get_encoding(\"cl100k_base\")\n", + "\n", + "text_embedder = OpenAIEmbedding(\n", + " api_key=api_key,\n", + " api_base=None,\n", + " api_type=OpenaiApiType.OpenAI,\n", + " model=embedding_model,\n", + " deployment_name=embedding_model,\n", + " max_retries=20,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Embeddings file already exists at ./inputs/operation dulce/create_final_community_reports_with_embeddings.parquet\n" + ] + } + ], + "source": [ + "def embed_community_reports(\n", + " input_dir: str,\n", + " embedder: OpenAIEmbedding,\n", + " community_report_table: str = COMMUNITY_REPORT_TABLE,\n", + "):\n", + " \"\"\"Embeds the full content of the community reports and saves the DataFrame with embeddings to the output path.\"\"\"\n", + " input_path = Path(input_dir) / f\"{community_report_table}.parquet\"\n", + " output_path = Path(input_dir) / f\"{community_report_table}_with_embeddings.parquet\"\n", + "\n", + " if not Path(output_path).exists():\n", + " print(\"Embedding file not found. Computing community report embeddings...\")\n", + "\n", + " report_df = pd.read_parquet(input_path)\n", + "\n", + " if \"full_content\" not in report_df.columns:\n", + " error_msg = f\"'full_content' column not found in {input_path}\"\n", + " raise ValueError(error_msg)\n", + "\n", + " report_df[\"full_content_embeddings\"] = report_df.loc[:, \"full_content\"].apply(\n", + " lambda x: embedder.embed(x)\n", + " )\n", + "\n", + " # Save the DataFrame with embeddings to the output path\n", + " report_df.to_parquet(output_path)\n", + " print(f\"Embeddings saved to {output_path}\")\n", + " return report_df\n", + " print(f\"Embeddings file already exists at {output_path}\")\n", + " return pd.read_parquet(output_path)\n", + "\n", + "\n", + "report_df = embed_community_reports(INPUT_DIR, text_embedder)\n", + "reports = read_indexer_reports(\n", + " report_df,\n", + " entity_df,\n", + " COMMUNITY_LEVEL,\n", + " content_embedding_col=\"full_content_embeddings\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "context_builder = DRIFTSearchContextBuilder(\n", + " chat_llm=chat_llm,\n", + " text_embedder=text_embedder,\n", + " entities=entities,\n", + " relationships=relationships,\n", + " reports=reports,\n", + " entity_text_embeddings=entity_description_embeddings,\n", + " text_units=text_units,\n", + ")\n", + "\n", + "search = DRIFTSearch(\n", + " llm=chat_llm, context_builder=context_builder, token_encoder=token_encoder\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/numpy/core/fromnumeric.py:59: FutureWarning: 'DataFrame.swapaxes' is deprecated and will be removed in a future version. Please use 'DataFrame.transpose' instead.\n", + " return bound(*args, **kwds)\n", + "100%|██████████| 5/5 [00:24<00:00, 4.91s/it]\n", + "100%|██████████| 20/20 [01:14<00:00, 3.71s/it]\n", + " 70%|███████ | 14/20 [01:54<00:26, 4.46s/it]Exception in _asearch\n", + "Traceback (most recent call last):\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/httpx/_transports/default.py\", line 72, in map_httpcore_exceptions\n", + " yield\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/httpx/_transports/default.py\", line 257, in __aiter__\n", + " async for part in self._httpcore_stream:\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 367, in __aiter__\n", + " raise exc from None\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 363, in __aiter__\n", + " async for part in self._stream:\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 349, in __aiter__\n", + " raise exc\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 341, in __aiter__\n", + " async for chunk in self._connection._receive_response_body(**kwargs):\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 210, in _receive_response_body\n", + " event = await self._receive_event(timeout=timeout)\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n", + " data = await self._network_stream.read(\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n", + " with map_exceptions(exc_map):\n", + " File \"/usr/lib/python3.10/contextlib.py\", line 153, in __exit__\n", + " self.gen.throw(typ, value, traceback)\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n", + " raise to_exc(exc) from exc\n", + "httpcore.ReadError\n", + "\n", + "The above exception was the direct cause of the following exception:\n", + "\n", + "Traceback (most recent call last):\n", + " File \"/home/alonsog/workspace/graphrag-gh/graphrag/graphrag/query/structured_search/local_search/search.py\", line 91, in asearch\n", + " response = await self.llm.agenerate(\n", + " File \"/home/alonsog/workspace/graphrag-gh/graphrag/graphrag/query/llm/oai/chat_openai.py\", line 142, in agenerate\n", + " async for attempt in retryer:\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n", + " do = await self.iter(retry_state=self._retry_state)\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n", + " result = await action(retry_state)\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n", + " return call(*args, **kwargs)\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/tenacity/__init__.py\", line 398, in <lambda>\n", + " self._add_action_func(lambda rs: rs.outcome.result())\n", + " File \"/usr/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n", + " return self.__get_result()\n", + " File \"/usr/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n", + " raise self._exception\n", + " File \"/home/alonsog/workspace/graphrag-gh/graphrag/graphrag/query/llm/oai/chat_openai.py\", line 144, in agenerate\n", + " return await self._agenerate(\n", + " File \"/home/alonsog/workspace/graphrag-gh/graphrag/graphrag/query/llm/oai/chat_openai.py\", line 278, in _agenerate\n", + " chunk = await response.__anext__() # type: ignore\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/openai/_streaming.py\", line 144, in __anext__\n", + " return await self._iterator.__anext__()\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/openai/_streaming.py\", line 160, in __stream__\n", + " async for sse in iterator:\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/openai/_streaming.py\", line 151, in _iter_events\n", + " async for sse in self._decoder.aiter_bytes(self.response.aiter_bytes()):\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/openai/_streaming.py\", line 302, in aiter_bytes\n", + " async for chunk in self._aiter_chunks(iterator):\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/openai/_streaming.py\", line 313, in _aiter_chunks\n", + " async for chunk in iterator:\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/httpx/_models.py\", line 931, in aiter_bytes\n", + " async for raw_bytes in self.aiter_raw():\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/httpx/_models.py\", line 989, in aiter_raw\n", + " async for raw_stream_bytes in self.stream:\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/httpx/_client.py\", line 150, in __aiter__\n", + " async for chunk in self._stream:\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/httpx/_transports/default.py\", line 256, in __aiter__\n", + " with map_httpcore_exceptions():\n", + " File \"/usr/lib/python3.10/contextlib.py\", line 153, in __exit__\n", + " self.gen.throw(typ, value, traceback)\n", + " File \"/home/alonsog/.cache/pypoetry/virtualenvs/graphrag-ta_-cxM1-py3.10/lib/python3.10/site-packages/httpx/_transports/default.py\", line 89, in map_httpcore_exceptions\n", + " raise mapped_exc(message) from exc\n", + "httpx.ReadError\n", + "Failed to parse search response: \n", + "Traceback (most recent call last):\n", + " File \"/home/alonsog/workspace/graphrag-gh/graphrag/graphrag/query/structured_search/drift_search/action.py\", line 74, in asearch\n", + " response = json.loads(search_result.response)\n", + " File \"/usr/lib/python3.10/json/__init__.py\", line 346, in loads\n", + " return _default_decoder.decode(s)\n", + " File \"/usr/lib/python3.10/json/decoder.py\", line 337, in decode\n", + " obj, end = self.raw_decode(s, idx=_w(s, 0).end())\n", + " File \"/usr/lib/python3.10/json/decoder.py\", line 355, in raw_decode\n", + " raise JSONDecodeError(\"Expecting value\", s, err.value) from None\n", + "json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n", + "No answer found for query: What are the potential risks and challenges associated with establishing contact with extraterrestrial intelligence?\n", + "No follow-up actions found for response: {}\n", + "100%|██████████| 20/20 [01:55<00:00, 5.76s/it]\n", + "No follow-up actions for action: What are the potential risks and challenges associated with establishing contact with extraterrestrial intelligence?\n", + "100%|██████████| 20/20 [01:13<00:00, 3.67s/it]\n" + ] + } + ], + "source": [ + "resp = await search.asearch(\"Who is agent Mercer?\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'nodes': [{'query': 'Who is agent Mercer?',\n", + " 'answer': \"# Agent Mercer: Context and Role in Operation: Dulce\\n\\nAgent Mercer, also known as Alex Mercer, is a key figure within the Paranormal Military Squad, a specialized unit tasked with engaging in activities related to the paranormal. In the context of Operation: Dulce, a highly secretive mission aimed at establishing contact with extraterrestrial intelligence at the Dulce Military Base in New Mexico, Alex Mercer's role is of paramount importance.\\n\\n## Leadership in Operation: Dulce\\n\\nAlex Mercer serves as the leader of the team involved in Operation: Dulce. The mission's high level of confidentiality and the critical nature of its objectives signify that Mercer's leadership skills are essential to navigating the complexities and challenges posed by the operation. His leadership is crucial in coordinating the diverse skills of team members such as Sam Rivera, Taylor Cruz, and Jordan Hayes, each of whom brings unique expertise to the mission.\\n\\n## Contributions to the Paranormal Military Squad\\n\\nThe Paranormal Military Squad is a specialized unit within the military, created to handle missions that involve phenomena beyond the scope of conventional military operations. Mercer's role within this squad underscores his expertise in dealing with extraordinary challenges, which likely include understanding and interpreting paranormal activities and potential extraterrestrial communications. His ability to lead a team with such a specialized mandate indicates a high level of competency and trust placed in him by military officials.\\n\\n## Impact of the Dulce Military Base\\n\\nThe Dulce Military Base, located in the desolate terrain of New Mexico, serves as the central hub for Operation: Dulce. The base provides the necessary infrastructure and resources for the Paranormal Military Squad. The unsettling atmosphere of the base, combined with New Mexico's unique environmental conditions, adds layers of complexity to the mission, requiring Mercer's steady leadership to maintain team morale and operational focus.\\n\\n## Critical Significance of the Mission\\n\\nThe ultimate goal of Operation: Dulce is to make first contact with extraterrestrial beings, a task of immense scientific and national security significance. Alex Mercer's leadership and decision-making abilities are integral to the success of this endeavor, as the mission's outcomes could potentially reshape humanity’s understanding of the universe. The collective efforts of the team, under Mercer's guidance, aim to overcome the psychological and logistical challenges presented by the mission's extraordinary objectives.\\n\\n## Conclusion\\n\\nIn summary, Agent Alex Mercer is a pivotal figure in the execution of Operation: Dulce, leading a team whose mission could have far-reaching implications for science and national security. His role as a leader within the Paranormal Military Squad highlights his expertise and the critical nature of his contributions to the mission's success.\\n\\n# Agent Alex Mercer's Role in the Paranormal Military Squad\\n\\nAgent Alex Mercer is a key member of the Paranormal Military Squad Team based at Dulce Base. His involvement in the team is multifaceted, emphasizing both the analysis of paranormal activities and the operational aspects of the command center. Mercer demonstrates compliance in the briefing room, indicating his ability to follow protocols strictly and contribute to strategic discussions. His discussions revolving around intuition and trust highlight the psychological dimensions and complexities inherent in their mission.\\n\\nMercer's role becomes even more significant when considering his participation during the first contact event. Observing this critical occurrence underscores his importance to the team and his ability to handle high-stakes situations. Mercer's active engagement and shared concerns with colleagues about the broader implications of their work signify his deep investment in the mission's success and the profound consequences of their findings.\\n\\nFurthermore, Mercer works closely with other team members like Dr. Jordan Hayes, whose pivotal role involves deciphering alien codes and interpreting extraterrestrial patterns. The collaboration between Mercer and Hayes is crucial for managing interspecies communication—an essential task for any potential first contact scenario. Their partnership ensures that both the operational and analytical facets of the mission are covered effectively.\\n\\nThe importance of Mercer's work is augmented by the evolving nature of the Paranormal Military Squad's mission, which has transitioned from mere observation to active engagement and preparation for outreach beyond the stars. The proactive approach of the team highlights the significance of establishing humanity's presence in interstellar affairs. Mercer's position as an integral part of this vanguard illustrates his crucial contribution to one of humanity's most groundbreaking scientific and exploratory endeavors.\\n\\nIn summary, Agent Alex Mercer is a central figure within the Paranormal Military Squad at Dulce Base, whose comprehensive responsibilities and collaboration with colleagues are vital for successfully navigating the complexities of extraterrestrial analysis and first contact protocols.\\n\\n# Alex Mercer's leadership and diplomatic role in extraterrestrial engagement\\n\\nAlex Mercer is recognized as a leader within the Paranormal Military Squad, guiding the team in their mission to establish contact with alien intelligence. Mercer’s leadership is characterized by a diplomatic approach to potential extraterrestrial contact and a focus on strategic planning. Mercer's responsibilities include overseeing the team’s critical operations, ensuring effective communication with extraterrestrial entities, and integrating the efforts of squad members such as Taylor Cruz and Dr. Jordan Hayes.\\n\\nMercer's role is crucial in navigating the complexities of interstellar communication, balancing diplomatic engagement with aliens, and strategic military oversight. The relationship dynamics between Mercer and other team members, including Taylor Cruz and Dr. Jordan Hayes, highlight the collaborative yet complex nature of the squad's hierarchy and decision-making processes. The mutual respect and collaboration between Mercer, Cruz, and Hayes are indicative of their reliance on Mercer’s expertise in leadership and diplomacy.\\n\\nThe Paranormal Military Squad's activities, suspected to involve humanity's first contact with extraterrestrial beings, are central to Mercer's leadership mission. Through Mercer's efforts, the squad aims to establish a dialogue with alien intelligence and explore the potential implications of such contact on humanity’s understanding of the universe. Mercer's diplomatic skills and strategic mindset play a pivotal role in this endeavor, emphasizing the importance of cautious and methodical approaches in potentially high-impact scenarios such as extraterrestrial communication.\\n\\nOverall, Alex Mercer's combination of diplomatic acumen and strategic leadership makes him a key figure in the squad’s operations and interstellar engagement initiatives.\\n\\n\\n# Overview of Alex Mercer in Relation to the Query on Agent Mercer\\n\\nAlex Mercer is a significant figure within the Paranormal Military Squad at Dulce Base. He plays a crucial role as a mentor to other team members, including Sam Rivera, who is instrumental in deciphering and establishing communication with extraterrestrial signals. His mentorship is essential in guiding the team through their mission, providing both wisdom and structural support to the efforts in place.\\n\\nIn the context of the team's dynamics, Alex Mercer works closely with Sam Rivera and other team members such as Taylor Cruz and Jordan Hayes. While Sam Rivera offers technical expertise, Alex Mercer provides strategic oversight and mentorship, ensuring the team remains focused and effective in their mission.\\n\\nThe community summary highlights that the attitude of optimism and intrigue, especially embodied by Sam Rivera, is vital for the success of the mission. Given Alex Mercer's role as a mentor, it is likely that he supports and encourages such an attitude within the team, further enhancing their cohesion and drive towards successful communication with extraterrestrial entities.\\n\\nAlex Mercer's contributions are not detailed extensively in terms of specific technical advancements or innovations, but his role as a mentor suggests that he is deeply involved in the strategic and operational aspects of the mission. This involves guiding the team through unknown territories, fostering a collaborative environment, and possibly offering insights that come from experience in similar high-stakes situations.\\n\\nOverall, while the summary does not provide detailed biographical information about Alex Mercer, it underscores his importance as a guiding figure within the Paranormal Military Squad, highlighting his mentorship and collaboration with key team members.\\n\\n\\n\\n## Key Personnel Driving Dulce Base's Mission\\n\\nIn response to the query 'Who is agent Mercer?', it is essential to focus on key personnel involved in Dulce Base's operations as described in the top-ranked community summaries. Agent Alex Mercer is a pivotal figure at Dulce Base, contributing significantly to its mission of extraterrestrial research and communication. Alex Mercer's role is instrumental in advancing the objectives of Dulce Base, alongside other notable individuals such as Sam Rivera, Taylor Cruz, and Jordan Hayes. These key personnel are responsible for leading the team, engaging in the decryption of alien signals, and ensuring effective responses to extraterrestrial contacts.\\n\\nMercer's expertise and leadership are highlighted as critical to the success of the base's high-stakes operations. These operations include the interception and decryption of alien signals, which are vital for understanding potential extraterrestrial communications. Mercer's involvement in these processes underscores the importance of his role in Dulce Base's day-to-day activities and long-term objectives.\\n\\nFurthermore, Dulce Base's focus on pragmatic oversight and effective management of its operations indicates that Mercer's contributions are not limited to technical tasks but also encompass strategic and operational leadership. His role in the Paranormal Military Squad reflects the high level of importance and sensitivity of the missions conducted at the base, suggesting that Mercer is a key figure in maintaining national and global security as it pertains to extraterrestrial engagement.\\n\\nOverall, agent Alex Mercer is a crucial member of Dulce Base, whose contributions span from technical expertise in decryption to strategic oversight in managing the facility's operations. This makes him an indispensable asset to the overall mission and goals of Dulce Base.\",\n", + " 'score': 86.0,\n", + " 'metadata': {},\n", + " 'id': 0},\n", + " {'query': 'What specific training or background does Alex Mercer have to lead Operation: Dulce?',\n", + " 'answer': \"### Alex Mercer's Background and Training for Leading Operation: Dulce\\n\\nAlex Mercer is a pivotal figure within the Paranormal Military Squad, recognized for his leadership and diplomatic skills in extraterrestrial engagement. His role in leading Operation: Dulce is underscored by his strategic planning and ability to navigate complex interstellar communications [Data: Reports (4)]. Mercer's background is characterized by a blend of military discipline and a deep understanding of extraterrestrial intelligence, which positions him uniquely to handle the mission's challenges.\\n\\n#### Leadership and Diplomatic Skills\\nMercer's leadership is marked by a diplomatic approach to potential extraterrestrial contact. He is known for guiding his team with a focus on strategic planning and cautious interaction with alien signals. This is evident in his interactions with other key team members, such as Dr. Jordan Hayes and Taylor Cruz, where he balances authority with collaboration [Data: Reports (4); Sources (4, 5)]. His ability to maintain a calm and strategic demeanor under pressure is crucial for the success of the mission.\\n\\n#### Experience in Extraterrestrial Communication\\nMercer's experience in extraterrestrial communication is highlighted by his involvement in decrypting and interpreting alien signals. He works closely with Dr. Jordan Hayes, who leads the efforts in signal decryption, and together they navigate the complexities of alien messages. This collaboration is essential for understanding and responding to extraterrestrial communications effectively [Data: Reports (4); Sources (4, 5)].\\n\\n#### Strategic Planning and Risk Management\\nMercer's strategic planning skills are vital for the mission's success. He emphasizes the importance of cautious interaction with alien signals, understanding that the outcome of their communication efforts could dictate the entire operation's success. His ability to assess risks and make informed decisions is a testament to his training and experience in handling high-stakes situations [Data: Reports (4); Sources (4, 5)].\\n\\n### Conclusion\\nAlex Mercer's background and training make him an ideal leader for Operation: Dulce. His blend of military discipline, strategic planning, and diplomatic skills in extraterrestrial engagement equips him to navigate the mission's complexities and potential risks effectively. His leadership ensures that the Paranormal Military Squad operates cohesively and strategically in their groundbreaking efforts to establish contact with alien intelligence.\\n\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 4 were at once coherent and enigmatic: \"*Voyage...\n", + " 1 8 ences the full spectrum of human curiosity and...\n", + " 2 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 3 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...},\n", + " 'token_ct': 12001},\n", + " 'id': 1},\n", + " {'query': 'What are the roles and specific contributions of other team members in Operation: Dulce?',\n", + " 'answer': \"# Roles and Contributions of Team Members in Operation: Dulce\\n\\n## Alex Mercer\\nAlex Mercer is a key figure in Operation: Dulce, serving as a leader and mentor to the team. His role involves overseeing the mission, making strategic decisions, and ensuring the team's safety. Mercer is characterized by his blend of military discipline and intellectual curiosity, which drives him to question the unknown aspects of the Dulce Base [Data: Sources (2, 4)]. His interactions with other team members, such as Sam Rivera and Jordan Hayes, highlight his leadership and mentorship qualities [Data: Sources (2, 4)].\\n\\n## Sam Rivera\\nSam Rivera is a crucial member of the team, primarily responsible for analyzing and interpreting alien signals. Rivera's expertise in technology and signal decryption makes him an invaluable asset in understanding the structured anomalies they encounter. His role extends beyond technical tasks, as he is also seen as a guiding intellect within the team, driven by a sense of responsibility and the trust placed in him by Mercer [Data: Sources (2, 4)].\\n\\n## Taylor Cruz\\nTaylor Cruz is depicted as a confident and resolute member of the team, often taking charge in critical situations. Cruz's role involves ensuring the team's readiness and maintaining operational discipline. His commanding presence and iron resolve are crucial in moments of hesitation, pushing the team to stay focused and vigilant. Despite his stern exterior, Cruz shows moments of agreement and understanding, indicating a deeper complexity to his character [Data: Sources (2, 4)].\\n\\n## Jordan Hayes\\nDr. Jordan Hayes is the team's analytical mind, focusing on deciphering the alien communication protocols and understanding the broader implications of their findings. Hayes's role involves sifting through data, interpreting patterns, and providing insights that guide the team's actions. Their transformation from a skeptical analyst to a proactive agent underscores their importance in the mission. Hayes's interactions with Mercer and Cruz highlight their collaborative approach and growing resolve [Data: Sources (2, 4)].\\n\\n## Summary\\nEach team member in Operation: Dulce plays a distinct and vital role, contributing their unique skills and perspectives to the mission. Alex Mercer provides leadership and strategic oversight, Sam Rivera excels in technical analysis and signal decryption, Taylor Cruz ensures operational discipline and readiness, and Jordan Hayes offers analytical insights and data interpretation. Together, they form a cohesive unit, navigating the complexities and uncertainties of their mission at Dulce Base.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 2 Dulce Base: Extraterrestrial Research and Comm... \n", + " \n", + " content \n", + " 0 # Dulce Base: Extraterrestrial Research and Co... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 2 . \"Your take on these signal inconsistencies?\"...\n", + " 1 4 were at once coherent and enigmatic: \"*Voyage...\n", + " 2 2 . \"Your take on these signal inconsistencies?\"...\n", + " 3 4 were at once coherent and enigmatic: \"*Voyage...},\n", + " 'token_ct': 11874},\n", + " 'id': 2},\n", + " {'query': \"How does the Dulce Military Base's environment impact the operation?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 3},\n", + " {'query': 'What specific challenges has the Paranormal Military Squad faced during Operation: Dulce?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 4},\n", + " {'query': 'What are the strategic aims and expected outcomes of Operation: Dulce?',\n", + " 'answer': \"# Strategic Aims and Expected Outcomes of Operation: Dulce\\n\\n## Strategic Aims\\n\\n### Establishing Contact with Extraterrestrial Intelligence\\n\\nThe primary strategic aim of Operation: Dulce is to establish contact with extraterrestrial intelligence. This mission is characterized by its high level of secrecy and involves a specialized team known as the Paranormal Military Squad [Data: Reports (3)]. The operation's goal is to make first contact with extraterrestrial beings, which suggests its critical importance to national security or scientific discovery [Data: Reports (3)].\\n\\n### Utilizing the Dulce Military Base\\n\\nThe Dulce Military Base in New Mexico serves as the central hub for Operation: Dulce. The base provides the necessary infrastructure and resources for the Paranormal Military Squad to conduct their mission. The base's ominous atmosphere and isolated location add to the secrecy and strategic importance of the operation [Data: Reports (3)].\\n\\n### Leveraging Team Expertise\\n\\nThe operation involves key team members with diverse skills: Alex Mercer, Sam Rivera, Taylor Cruz, and Jordan Hayes. Each member plays a critical role in the mission's execution, from leadership and communication to decision-making and analytical skills in deciphering alien signals [Data: Reports (3); Sources (2)]. The team's collective expertise is crucial for navigating the challenges they may face during the mission.\\n\\n## Expected Outcomes\\n\\n### First Contact and Communication\\n\\nOne of the expected outcomes is the successful establishment of communication with extraterrestrial beings. This involves deciphering alien signals and potentially engaging in a dialogue that could alter humanity's understanding of the universe [Data: Reports (3); Sources (2)].\\n\\n### Scientific and Security Advancements\\n\\nThe operation aims to achieve significant advancements in both scientific knowledge and national security. By understanding extraterrestrial intelligence, the mission could lead to breakthroughs in technology, communication, and defense strategies [Data: Reports (3)].\\n\\n### Psychological and Operational Challenges\\n\\nThe mission also anticipates various psychological and operational challenges. The isolated and ominous environment of the Dulce Military Base could impact the team's psychological well-being, and the unpredictable nature of extraterrestrial contact adds another layer of complexity [Data: Reports (3); Sources (2)].\\n\\n### Long-term Implications\\n\\nThe long-term implications of Operation: Dulce could be far-reaching, potentially altering humanity's place in the universe and its approach to extraterrestrial life. The mission's success could pave the way for future operations and collaborations with extraterrestrial beings [Data: Reports (3)].\\n\\n## Conclusion\\n\\nOperation: Dulce is a highly secretive and strategically significant mission aimed at establishing contact with extraterrestrial intelligence. Utilizing the Dulce Military Base and leveraging the expertise of the Paranormal Military Squad, the operation seeks to achieve groundbreaking outcomes in communication, scientific knowledge, and national security. However, the mission also anticipates significant psychological and operational challenges that the team must navigate to succeed.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 3 Operation: Dulce and the Paranormal Military S... \n", + " \n", + " content \n", + " 0 # Operation: Dulce and the Paranormal Military... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 2 . \"Your take on these signal inconsistencies?\"...\n", + " 1 4 were at once coherent and enigmatic: \"*Voyage...\n", + " 2 4 were at once coherent and enigmatic: \"*Voyage...\n", + " 3 0 # Operation: Dulce\\n\\n## Chapter 1\\n\\nThe thru...},\n", + " 'token_ct': 11942},\n", + " 'id': 5},\n", + " {'query': 'What specific paranormal activities has Agent Alex Mercer analyzed during his tenure?',\n", + " 'answer': \"# Paranormal Activities Analyzed by Agent Alex Mercer\\n\\n## Overview\\nAgent Alex Mercer is a key member of the Paranormal Military Squad Team stationed at Dulce Base. His role encompasses the analysis of paranormal activities and the operational aspects of the command center. His work is crucial in understanding and preparing for extraterrestrial contact and deciphering alien codes [Data: Reports (0)].\\n\\n## Analysis of Paranormal Activities\\n\\n### Extraterrestrial Communication\\nOne of the primary activities Agent Mercer has been involved in is the analysis of extraterrestrial communication signals. This includes deciphering alien codes and understanding the patterns in these communications. For instance, Mercer has been observed working closely with Dr. Jordan Hayes to decode a series of alien symbols that indicate a complex society [Data: Sources (9)]. This task is critical as it helps predict extraterrestrial intentions and actions [Data: Reports (0)].\\n\\n### First Contact Event\\nAgent Mercer has also played a significant role in observing and analyzing the first contact event. His observations and insights are vital in understanding the larger implications of their work. This event marks a historic effort in establishing humanity's presence in the interstellar narrative [Data: Reports (0); Sources (9)].\\n\\n### Psychological Complexities\\nMercer’s role also involves dealing with the psychological complexities of the mission. He has been involved in discussions about intuition and trust, which are essential in managing the stress and uncertainties associated with their mission [Data: Reports (0)]. His compliance in the briefing room and shared concerns with colleagues highlight the depth of his involvement in the mission [Data: Sources (9)].\\n\\n## Conclusion\\nAgent Alex Mercer's work in analyzing paranormal activities is multifaceted, involving the decoding of alien communications, observing first contact events, and managing the psychological aspects of the mission. His contributions are integral to the success of the Paranormal Military Squad Team at Dulce Base.\\n\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 0 Dulce Base and the Paranormal Military Squad Team \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 9 ; we are the threads that may weave a new cosm...\n", + " 1 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 2 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 3 8 ences the full spectrum of human curiosity and...\n", + " 4 5 the universe.\\n\\nIn a symphony of clicks and ...},\n", + " 'token_ct': 12478},\n", + " 'id': 6},\n", + " {'query': 'How does Agent Mercer contribute to the operational aspects of the Dulce Base command center?',\n", + " 'answer': \"# Agent Mercer's Contributions to the Operational Aspects of the Dulce Base Command Center\\n\\n## Leadership and Coordination\\n\\nAgent Alex Mercer plays a pivotal role in the operational aspects of the Dulce Base command center, primarily through his leadership and coordination skills. As the leader of the Paranormal Military Squad, Mercer is responsible for overseeing the team's activities and ensuring that each member is effectively contributing to the mission. His steady presence and controlled demeanor are crucial in maintaining the team's focus and morale, especially during high-stress situations [Data: Sources (9, 5, 1)]. For instance, Mercer's ability to provide clear and steady instructions is highlighted when he asks Jordan Hayes about the progress on decryption, demonstrating his role in guiding the team through complex tasks [Data: Sources (9)].\\n\\n## Strategic Decision-Making\\n\\nMercer is also instrumental in strategic decision-making, which is vital for the success of Operation: Dulce. His decisions are often informed by a deep understanding of both the mission's objectives and the team's capabilities. This is evident when he emphasizes the importance of understanding the alien signals and ensuring that their responses are thoughtful and measured [Data: Sources (9, 5)]. Mercer's strategic foresight is further demonstrated when he acknowledges the potential risks and rewards of their mission, balancing the need for caution with the drive for discovery [Data: Sources (9)].\\n\\n## Technical Oversight\\n\\nIn addition to his leadership and strategic roles, Mercer provides technical oversight, ensuring that the team's technological efforts are aligned with their mission goals. He closely monitors the progress of team members like Dr. Jordan Hayes and Sam Rivera, who are responsible for deciphering alien signals and managing communication devices [Data: Sources (9, 5)]. Mercer's involvement in these technical aspects underscores his comprehensive understanding of the mission's requirements and his ability to integrate various technical components into a cohesive operational strategy.\\n\\n## Psychological Support\\n\\nMercer also offers psychological support to his team, recognizing the mental and emotional challenges posed by their mission. His interactions with team members often include words of encouragement and reassurance, which help to maintain their focus and resilience [Data: Sources (9)]. For example, his acknowledgment of Jordan Hayes's analytical skills and his encouragement to keep their analytical edge sharp highlight his role in bolstering the team's confidence and mental fortitude [Data: Sources (1)].\\n\\n## Conclusion\\n\\nOverall, Agent Alex Mercer's contributions to the operational aspects of the Dulce Base command center are multifaceted, encompassing leadership, strategic decision-making, technical oversight, and psychological support. His ability to integrate these elements effectively ensures the smooth execution of Operation: Dulce and enhances the team's ability to navigate the complexities of their mission.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 3 Operation: Dulce and the Paranormal Military S... \n", + " \n", + " content \n", + " 0 # Operation: Dulce and the Paranormal Military... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 9 ; we are the threads that may weave a new cosm...\n", + " 1 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 2 8 ences the full spectrum of human curiosity and...\n", + " 3 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 4 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...},\n", + " 'token_ct': 12533},\n", + " 'id': 7},\n", + " {'query': \"What were Agent Mercer's specific observations and actions during the first contact event?\",\n", + " 'answer': \"# Agent Mercer's Observations and Actions During the First Contact Event\\n\\n## Initial Observations\\n\\nAgent Alex Mercer played a crucial role during the first contact event at Dulce Base. His observations and actions were pivotal in managing the complexities of the situation. Mercer was noted for his steady and controlled presence, which was essential given the gravity of their undertaking. He leaned over Dr. Jordan Hayes' shoulder, closely monitoring the incomprehensible series of alien symbols streaming past on the display screen [Data: Sources (9)]. His focus was on the decryption progress, asking Hayes about any advancements, which indicates his active involvement in the technical aspects of the mission.\\n\\n## Actions Taken\\n\\nMercer's actions were multifaceted, reflecting his integral role in the Paranormal Military Squad. He was involved in the analysis of the alien code alongside Dr. Hayes, demonstrating his technical acumen and ability to work under pressure. When Hayes paused the flow of code and revealed indications of a complex alien society, Mercer’s response was thoughtful, recognizing the potential implications of their findings [Data: Sources (9)]. This shows his ability to grasp the broader significance of their work beyond immediate technical challenges.\\n\\n## Psychological and Strategic Insights\\n\\nMercer also displayed psychological insight and strategic thinking. He acknowledged the validity of Taylor Cruz's caution about understanding alien society to predict behavior, which underscores his awareness of the risks involved [Data: Sources (9)]. His interactions with his colleagues, including his thoughtful nods and exchanges, reveal his role as a stabilizing force within the team, balancing technical focus with strategic foresight.\\n\\n## Conclusion\\n\\nIn summary, Agent Alex Mercer’s observations and actions during the first contact event were characterized by his technical involvement in decryption, his thoughtful consideration of the broader implications of their findings, and his strategic and psychological insights. His steady presence and ability to work collaboratively under pressure were crucial to the team's efforts in managing the historic first contact event.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 0 Dulce Base and the Paranormal Military Squad Team \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 9 ; we are the threads that may weave a new cosm...\n", + " 1 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 2 8 ences the full spectrum of human curiosity and...\n", + " 3 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 4 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...},\n", + " 'token_ct': 12484},\n", + " 'id': 8},\n", + " {'query': 'Can you provide more details on the collaboration between Agent Mercer and Dr. Jordan Hayes?',\n", + " 'answer': \"# Collaboration Between Agent Mercer and Dr. Jordan Hayes\\n\\n## Introduction\\n\\nThe collaboration between Agent Alex Mercer and Dr. Jordan Hayes is a cornerstone of the Paranormal Military Squad's efforts at Dulce Base. Their partnership is characterized by mutual respect, complementary skills, and a shared commitment to the mission of interstellar communication and extraterrestrial engagement.\\n\\n## Mutual Respect and Complementary Skills\\n\\nAgent Alex Mercer and Dr. Jordan Hayes share a deep mutual respect for each other's expertise. Mercer, known for his leadership and diplomatic approach, often relies on Hayes' analytical and skeptical nature to navigate the complexities of alien signal decryption and analysis. This dynamic is evident in their interactions, where Mercer's strategic planning is balanced by Hayes' methodical approach to interpreting extraterrestrial messages [Data: Reports (4); Sources (1, 8, 9)].\\n\\nFor instance, during a critical moment in their mission, Mercer acknowledges Hayes' ability to see through the mazes of the unexplained better than anyone, highlighting the trust and confidence he places in Hayes' skills [Data: Sources (1)]. This respect is reciprocated by Hayes, who values Mercer's leadership and the weight of his decisions, especially when facing the unknown [Data: Sources (1, 8)].\\n\\n## Key Moments of Collaboration\\n\\n### The Elevator Descent\\n\\nOne notable instance of their collaboration occurs during their descent into the depths of Dulce Base. As the team prepares for the challenges ahead, Mercer and Hayes share a moment of mutual understanding and encouragement. Mercer advises Hayes to keep their analytical edge sharp, a testament to his reliance on Hayes' expertise. Hayes, in turn, expresses newfound assertiveness, indicating the strengthening of their professional bond [Data: Sources (1)].\\n\\n### Signal Decryption and Analysis\\n\\nAnother significant moment is when Hayes is deeply engrossed in decrypting alien signals. Mercer's presence and support during this process underscore the collaborative nature of their work. Hayes' ability to interpret complex alien messages is crucial to the mission, and Mercer's strategic oversight ensures that their efforts are aligned with the broader objectives of the Paranormal Military Squad [Data: Reports (4); Sources (8, 9)].\\n\\n### Facing the Unknown Together\\n\\nThroughout their mission, Mercer and Hayes face numerous uncertainties and potential dangers. Their ability to work together, combining Mercer's leadership with Hayes' analytical prowess, is vital to navigating these challenges. This partnership is not just about professional collaboration but also about a shared commitment to uncovering the truth and advancing humanity's understanding of the universe [Data: Reports (4); Sources (1, 8, 9)].\\n\\n## Conclusion\\n\\nThe collaboration between Agent Alex Mercer and Dr. Jordan Hayes is marked by mutual respect, complementary skills, and a shared dedication to their mission. Their partnership is a critical element of the Paranormal Military Squad's efforts at Dulce Base, enabling them to tackle the complexities of interstellar communication and extraterrestrial engagement effectively.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...\n", + " 1 8 ences the full spectrum of human curiosity and...\n", + " 2 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...\n", + " 3 9 ; we are the threads that may weave a new cosm...},\n", + " 'token_ct': 12143},\n", + " 'id': 9},\n", + " {'query': 'What are some psychological complexities that Agent Mercer has addressed in his discussions about intuition and trust?',\n", + " 'answer': \"Agent Alex Mercer, a key figure in the Paranormal Military Squad at Dulce Base, has navigated several psychological complexities in his discussions about intuition and trust. His role as a mentor and leader within the team places him at the intersection of scientific inquiry and human emotion, requiring a nuanced understanding of both technical and interpersonal dynamics [Data: Reports (5)].\\n\\n### Balancing Optimism and Caution\\n\\nMercer often finds himself balancing the optimism of team members like Sam Rivera with the caution of others like Taylor Cruz. This dynamic is evident when Mercer supports Rivera's enthusiasm for bridging communication systems with extraterrestrial signals while also acknowledging Cruz's pragmatic concerns about potential risks [Data: Sources (3)]. This balance highlights Mercer's ability to navigate the psychological tension between hope and fear, a crucial aspect of maintaining team morale and focus.\\n\\n### Mentorship and Trust\\n\\nMercer's mentorship role involves fostering trust and confidence within the team. His guidance is instrumental in helping Rivera adapt their gear to transmute foreign signals, a task that requires both technical skill and psychological resilience. Mercer's belief in Rivera's capabilities instills a sense of purpose and confidence, which is essential for the team's success [Data: Sources (3)].\\n\\n### Navigating Uncertainty\\n\\nThe psychological complexity of dealing with the unknown is a recurring theme in Mercer's discussions. He acknowledges the team's collective anxiety and curiosity as they decode alien messages, emphasizing the importance of a measured and thoughtful approach. This perspective helps the team navigate the fine line between scientific discovery and existential risk, reinforcing the need for both caution and open-mindedness [Data: Sources (8)].\\n\\n### The Role of Empathy\\n\\nMercer also addresses the role of empathy in understanding extraterrestrial communications. He suggests that empathy could bridge galaxies, indicating his belief in the power of human connection and understanding as tools for navigating interstellar dialogues. This approach underscores the psychological importance of empathy in fostering trust and collaboration, both within the team and in their interactions with potential extraterrestrial intelligences [Data: Sources (8)].\\n\\n### Conclusion\\n\\nIn summary, Agent Alex Mercer addresses several psychological complexities in his discussions about intuition and trust. His ability to balance optimism and caution, foster mentorship and trust, navigate uncertainty, and emphasize empathy highlights his multifaceted approach to leadership. These qualities are crucial for the team's success in their mission to decode and respond to extraterrestrial signals.\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 5 Sam Rivera and the Paranormal Military Squad a... \n", + " \n", + " content \n", + " 0 # Sam Rivera and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 3 , absorbed in the bewilderment of contact, whi...\n", + " 2 8 ences the full spectrum of human curiosity and...\n", + " 3 5 the universe.\\n\\nIn a symphony of clicks and ...},\n", + " 'token_ct': 11798},\n", + " 'id': 10},\n", + " {'query': 'What specific strategies does Alex Mercer employ in his diplomatic efforts with extraterrestrial beings?',\n", + " 'answer': \"# Alex Mercer's Diplomatic Strategies with Extraterrestrial Beings\\n\\n## Leadership and Team Coordination\\n\\nAlex Mercer is recognized for his leadership within the Paranormal Military Squad, guiding the team in their mission to establish contact with alien intelligence. His approach is characterized by a diplomatic and strategic mindset, ensuring that the team operates cohesively and effectively [Data: Reports (4)]. Mercer’s leadership style involves a balance of authority and collaboration, as seen in his interactions with key team members like Taylor Cruz and Dr. Jordan Hayes [Data: Reports (4); Sources (8)]. This collaborative environment fosters a sense of unity and purpose, which is crucial for the success of their mission.\\n\\n## Emphasis on Empathy and Understanding\\n\\nOne of Mercer's key strategies is to emphasize empathy and understanding in their communications with extraterrestrial beings. He believes that empathy could bridge galaxies and is essential for establishing a meaningful dialogue with alien intelligence [Data: Sources (8)]. This approach is evident when he encourages his team to focus on the nuances of the alien signals, suggesting that their humanity is their strength in this dialogue [Data: Sources (8)]. By prioritizing empathy, Mercer aims to create a foundation of mutual respect and understanding, which is vital for successful interstellar communication.\\n\\n## Cautious Optimism and Risk Management\\n\\nMercer also employs a strategy of cautious optimism, balancing the excitement of potential discoveries with the need for careful risk management. He often reminds his team to proceed with cautious optimism, ensuring that they remain vigilant and prepared for any unforeseen challenges [Data: Sources (8)]. This approach helps to mitigate risks while maintaining a positive outlook on their mission. Mercer's ability to navigate the fine line between enthusiasm and caution is a testament to his strategic acumen and leadership skills.\\n\\n## Focus on Clear and Full Communication\\n\\nAnother critical aspect of Mercer's diplomatic strategy is his focus on clear and full communication. He understands the importance of ensuring that their messages are not only heard but also understood by the extraterrestrial beings [Data: Sources (8)]. This involves meticulous attention to the syntax and nuances of the alien signals, as well as a commitment to conveying the full spectrum of human expression. By prioritizing clarity and completeness in their communications, Mercer aims to avoid misunderstandings and build a solid foundation for interstellar dialogue.\\n\\n## Strategic Use of Technology and Expertise\\n\\nMercer leverages the expertise of his team members and the advanced technology at their disposal to enhance their diplomatic efforts. He collaborates closely with Dr. Jordan Hayes, who leads the efforts in decrypting and interpreting alien signals, and Sam Rivera, who adjusts the cosmic translators [Data: Reports (4); Sources (8)]. By harnessing the collective skills and knowledge of his team, Mercer ensures that they are well-equipped to handle the complexities of interstellar communication. This strategic use of resources and expertise is a cornerstone of his diplomatic approach.\\n\\n## Conclusion\\n\\nIn summary, Alex Mercer's diplomatic strategies with extraterrestrial beings are multifaceted and well-rounded. His leadership and team coordination, emphasis on empathy and understanding, cautious optimism, focus on clear communication, and strategic use of technology and expertise all contribute to the success of their mission. Mercer's approach not only facilitates effective interstellar communication but also underscores the importance of humanity's role in this unprecedented dialogue.\\n\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 8 ences the full spectrum of human curiosity and...\n", + " 1 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 2 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...\n", + " 3 3 , absorbed in the bewilderment of contact, whi...},\n", + " 'token_ct': 12211},\n", + " 'id': 11},\n", + " {'query': 'How do Taylor Cruz and Dr. Jordan Hayes contribute to Alex Mercer’s leadership goals?',\n", + " 'answer': \"# Contributions of Taylor Cruz and Dr. Jordan Hayes to Alex Mercer's Leadership Goals\\n\\n## Taylor Cruz's Strategic Leadership\\n\\nTaylor Cruz plays a crucial role in supporting Alex Mercer's leadership within the Paranormal Military Squad. Cruz is depicted as a commanding figure known for their cautious and strategic approach to the mission. Their pragmatic oversight and skepticism are essential during the interstellar communication process, ensuring that the team remains grounded and focused on their objectives [Data: Reports (4)]. Cruz's interactions with other team members, such as Dr. Jordan Hayes and Sam Rivera, reflect a balance of authority and collaboration, which is crucial for the success of the squad's objectives [Data: Reports (4); Sources (1)]. This balance helps Mercer maintain a cohesive and effective team dynamic, which is vital for achieving their mission goals.\\n\\n## Dr. Jordan Hayes' Analytical Expertise\\n\\nDr. Jordan Hayes is another key figure who significantly contributes to Alex Mercer's leadership goals. Hayes leads the efforts in decrypting and interpreting alien signals, bringing a methodical and analytical approach to the squad's communication efforts [Data: Reports (4)]. Their expertise in signal decryption and analysis is indispensable, as it provides the team with the necessary insights to understand and engage with extraterrestrial intelligence. The collaboration between Hayes and Mercer is marked by mutual respect for each other's expertise, which strengthens the team's overall capability to achieve their mission [Data: Reports (4); Sources (1)]. Hayes' analytical skills complement Mercer's diplomatic approach, creating a well-rounded leadership that can tackle both strategic planning and technical challenges.\\n\\n## Collaborative Dynamics\\n\\nThe relationship dynamics between Mercer, Cruz, and Hayes highlight the collaborative yet complex nature of the squad's hierarchy and decision-making processes. Cruz's strategic oversight and Hayes' analytical expertise provide Mercer with a robust support system that enhances his leadership effectiveness. This collaboration ensures that the team can navigate the uncertainties and challenges of their mission, ultimately contributing to the success of their interstellar communication efforts [Data: Reports (4); Sources (1)].\\n\\n## Conclusion\\n\\nIn summary, Taylor Cruz and Dr. Jordan Hayes play pivotal roles in supporting Alex Mercer's leadership goals within the Paranormal Military Squad. Cruz's strategic leadership and Hayes' analytical expertise create a balanced and effective team dynamic that is essential for the success of their mission. Their contributions help Mercer maintain a cohesive and capable team, enabling them to achieve their objectives in interstellar communication and extraterrestrial engagement.\\n\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...\n", + " 1 3 , absorbed in the bewilderment of contact, whi...\n", + " 2 3 , absorbed in the bewilderment of contact, whi...\n", + " 3 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...},\n", + " 'token_ct': 12036},\n", + " 'id': 12},\n", + " {'query': 'What are the key challenges faced by Alex Mercer in establishing contact with alien intelligence?',\n", + " 'answer': \"## Key Challenges Faced by Alex Mercer in Establishing Contact with Alien Intelligence\\n\\n### Technological Barriers\\n\\nOne of the primary challenges Alex Mercer faces is the technological complexity involved in deciphering alien code and establishing a reliable communication channel. The alien signals are intricate and require advanced algorithms and cosmic translators to interpret [Data: Reports (0); Sources (8)]. The team must ensure that their technology is capable of not only receiving but also accurately decoding these signals, which are often beyond current human understanding.\\n\\n### Psychological and Emotional Strain\\n\\nThe psychological and emotional strain on Mercer and his team is significant. The weight of potentially being Earth's first emissaries to an alien civilization brings immense pressure. The team must balance their curiosity and compassion with the need for caution and preparedness [Data: Sources (8)]. Mercer's role involves managing not only the technical aspects but also the emotional well-being of his team, ensuring they remain focused and resilient in the face of the unknown.\\n\\n### Interpreting Alien Intentions\\n\\nAnother critical challenge is interpreting the intentions behind the alien communications. The signals received are not just data but potentially carry complex messages that could indicate either peaceful intentions or threats. Mercer and his team must tread carefully to avoid misinterpretations that could lead to unintended consequences [Data: Reports (0); Sources (8)]. This requires a deep understanding of both human and alien cognitive patterns, as well as the ability to empathize with an entirely different form of intelligence.\\n\\n### Team Dynamics and Collaboration\\n\\nEffective collaboration within the team is essential for success. Mercer must navigate the diverse perspectives and expertise of his colleagues, such as Dr. Jordan Hayes and Taylor Cruz, to ensure a unified approach to the mission. The team's ability to work together harmoniously, despite the high stakes and differing viewpoints, is crucial for overcoming the challenges they face [Data: Reports (0); Sources (8)].\\n\\n### Balancing Caution and Curiosity\\n\\nFinally, Mercer must balance the team's scientific curiosity with the need for caution. While the potential for groundbreaking discoveries is immense, the risks associated with alien contact are equally significant. Mercer must ensure that the team remains vigilant and prepared for any eventuality, whether it be a peaceful exchange or a defensive response [Data: Reports (0); Sources (8)].\\n\\nIn summary, Alex Mercer faces a multifaceted set of challenges in establishing contact with alien intelligence, ranging from technological and interpretative difficulties to managing team dynamics and psychological pressures. His leadership and ability to navigate these complexities are crucial for the success of their mission.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 0 Dulce Base and the Paranormal Military Squad Team \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 8 ences the full spectrum of human curiosity and...\n", + " 1 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 2 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...\n", + " 3 3 , absorbed in the bewilderment of contact, whi...},\n", + " 'token_ct': 11978},\n", + " 'id': 13},\n", + " {'query': 'Can you provide more details about the structure and hierarchy within the Paranormal Military Squad?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 14},\n", + " {'query': 'What are the implications of the suspected first contact with extraterrestrial beings on humanity’s future?',\n", + " 'answer': \"# Implications of Suspected First Contact with Extraterrestrial Beings on Humanity’s Future\\n\\n## Introduction\\n\\nThe suspected first contact with extraterrestrial beings, as investigated by the Paranormal Military Squad Team at Dulce Base, holds profound implications for humanity's future. This event, marked by the decoding of alien code and the analysis of extraterrestrial patterns, could redefine our understanding of the universe and our place within it [Data: Reports (0)]. The implications span across scientific, philosophical, and sociopolitical domains, each carrying significant weight for the trajectory of human civilization.\\n\\n## Scientific Advancements\\n\\nThe first contact with extraterrestrial beings promises to revolutionize scientific knowledge. Dr. Jordan Hayes' work on deciphering alien code and interpreting extraterrestrial patterns suggests that humanity is on the brink of a scientific breakthrough [Data: Reports (0)]. The discovery of hidden technology and evolving alien signals could lead to advancements in various fields, including communication, energy, and space travel [Data: Reports (0)]. This new knowledge could propel humanity into an era of unprecedented technological growth and exploration.\\n\\n## Philosophical and Existential Questions\\n\\nThe encounter with extraterrestrial intelligence raises profound philosophical and existential questions. The realization that we are not alone in the universe challenges long-held beliefs about humanity's uniqueness and place in the cosmos. As Agent Alex Mercer noted, this mission is as much about navigating uncharted philosophical territories as it is about ensuring survival [Data: Sources (5)]. The potential for interspecies communication and understanding could lead to a reevaluation of human identity, ethics, and purpose.\\n\\n## Sociopolitical Impact\\n\\nThe implications of first contact extend into the sociopolitical realm as well. The Paranormal Military Squad's proactive approach to establishing humanity's presence in the interstellar narrative underscores the significance of their work [Data: Reports (0)]. The potential for collaboration or conflict with extraterrestrial beings could reshape global politics, necessitating new forms of international cooperation and governance. The need to manage extraterrestrial contact scenarios highlights the importance of preparedness and unity among nations [Data: Reports (0)].\\n\\n## Cultural and Psychological Effects\\n\\nThe cultural and psychological effects of first contact cannot be understated. The shared experience of encountering extraterrestrial intelligence could foster a sense of global unity and shared destiny. However, it could also lead to fear, uncertainty, and resistance to change. The psychological complexities of the mission, as observed by Agent Mercer, reveal the depth of human emotions and reactions to the unknown [Data: Reports (0); Sources (5)]. The way humanity responds to this event will shape our collective future and resilience.\\n\\n## Conclusion\\n\\nThe suspected first contact with extraterrestrial beings at Dulce Base represents a pivotal moment in human history. The scientific, philosophical, sociopolitical, and cultural implications of this event are vast and multifaceted. As humanity stands on the brink of intergalactic exploration, the work of the Paranormal Military Squad Team serves as a testament to our curiosity, resilience, and capacity for growth. The future, shaped by this historic encounter, holds both challenges and opportunities that will define the next chapter of human civilization.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 0 Dulce Base and the Paranormal Military Squad Team \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 1 7 have a way in.\"\\n\\nA slight nod was Alex's im...\n", + " 2 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 3 0 # Operation: Dulce\\n\\n## Chapter 1\\n\\nThe thru...\n", + " 4 11 , the sentinel within them ever alert.\\n\\nAlex...},\n", + " 'token_ct': 10860},\n", + " 'id': 15},\n", + " {'query': \"What is Alex Mercer's background and previous experience before joining the Paranormal Military Squad?\",\n", + " 'answer': \"## Alex Mercer's Background and Previous Experience Before Joining the Paranormal Military Squad Team\\n\\n### Military and Analytical Expertise\\n\\nAgent Alex Mercer is a key member of the Paranormal Military Squad Team at Dulce Base, where he plays a multifaceted role in analyzing paranormal activities and managing the operational aspects of the command center [Data: Reports (0)]. His background is deeply rooted in military experience, which is evident from his disciplined approach and the psychological complexities he navigates during missions [Data: Reports (0)]. Mercer's prior military resolve and his ability to maintain focus under pressure are crucial assets to the team, especially when dealing with the high-stakes scenarios involving extraterrestrial contact [Data: Sources (3)].\\n\\n### Role in the Paranormal Military Squad\\n\\nWithin the Paranormal Military Squad, Mercer is not just an analyst but also a key figure in the operational command. His responsibilities include ensuring the team remains grounded and focused, particularly during critical moments of first contact and other high-pressure situations [Data: Reports (0)]. His involvement in the briefing room discussions and his ability to balance intuition with trust highlight his integral role in the team's dynamics [Data: Reports (0)]. Mercer's shared concerns with his colleagues about the larger implications of their work further underscore his critical position within the team [Data: Reports (0)].\\n\\n### Psychological and Strategic Acumen\\n\\nMercer's background also includes a strong psychological component, as he often engages in discussions about the psychological complexities of their mission. His ability to navigate these complexities and his compliance in the briefing room reveal a depth of involvement that goes beyond mere operational duties [Data: Reports (0)]. This psychological acumen is essential for the team's success, as it helps them manage the stress and uncertainty that come with their groundbreaking work in extraterrestrial communication [Data: Sources (3)].\\n\\n### Conclusion\\n\\nIn summary, Alex Mercer's background is a blend of military discipline, analytical expertise, and psychological acumen. These skills make him an invaluable member of the Paranormal Military Squad Team, where he plays a crucial role in both the operational and analytical aspects of their mission. His previous experience and strategic mindset are key to the team's efforts in deciphering alien codes and preparing for first contact scenarios.\\n\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 0 Dulce Base and the Paranormal Military Squad Team \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 9 ; we are the threads that may weave a new cosm...\n", + " 2 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 3 8 ences the full spectrum of human curiosity and...\n", + " 4 5 the universe.\\n\\nIn a symphony of clicks and ...},\n", + " 'token_ct': 12553},\n", + " 'id': 16},\n", + " {'query': 'What specific contributions has Alex Mercer made to the mission at Dulce Base?',\n", + " 'answer': \"## Alex Mercer's Contributions to the Mission at Dulce Base\\n\\n### Leadership and Coordination\\n\\nAlex Mercer plays a pivotal role in leading the Paranormal Military Squad during Operation: Dulce. His leadership is evident in the way he coordinates the team, ensuring that each member's unique skills are utilized effectively. For instance, Mercer oversees the team's activities in the command center, providing guidance and making critical decisions that drive the mission forward [Data: Reports (3); Sources (8)]. His ability to maintain focus and composure under pressure is crucial in navigating the complexities of the mission.\\n\\n### Strategic Decision-Making\\n\\nMercer's strategic acumen is highlighted in several instances throughout the mission. He is responsible for initiating key protocols and making decisions that balance the need for caution with the urgency of their objectives. For example, when the team encounters alien signals, Mercer emphasizes the importance of a thoughtful and measured response, recognizing the potential risks and opportunities involved [Data: Sources (8)]. His decisions often reflect a deep understanding of both the immediate tactical needs and the broader implications of their actions.\\n\\n### Diplomatic Engagement\\n\\nOne of Mercer's significant contributions is his role in facilitating communication with extraterrestrial intelligence. He understands the gravity of their mission and the potential for establishing a historic dialogue with alien beings. Mercer's diplomatic approach is evident when he encourages the team to focus on empathy and understanding in their communications, aiming to bridge the gap between human and alien cognition [Data: Sources (8)]. This approach underscores his recognition of the mission's broader significance beyond mere scientific discovery.\\n\\n### Team Morale and Support\\n\\nMercer also plays a vital role in maintaining team morale and providing support to his colleagues. His interactions with team members like Jordan Hayes and Sam Rivera demonstrate his ability to inspire confidence and foster a collaborative environment. By acknowledging their expertise and encouraging their contributions, Mercer helps to create a cohesive and motivated team [Data: Sources (8)]. His leadership style is characterized by a balance of authority and camaraderie, which is essential for the team's success in such a high-stakes mission.\\n\\n### Tactical Expertise\\n\\nIn addition to his leadership and strategic roles, Mercer brings significant tactical expertise to the mission. His background and experience in handling complex and covert operations are invaluable in navigating the challenges posed by the Dulce Base environment. Mercer's ability to adapt to rapidly changing situations and his keen sense of situational awareness are critical assets that enhance the team's operational effectiveness [Data: Reports (3); Sources (8)].\\n\\nOverall, Alex Mercer's contributions to the mission at Dulce Base are multifaceted, encompassing leadership, strategic decision-making, diplomatic engagement, team support, and tactical expertise. His role is central to the mission's progress and the potential success of their groundbreaking objectives.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 3 Operation: Dulce and the Paranormal Military S... \n", + " \n", + " content \n", + " 0 # Operation: Dulce and the Paranormal Military... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 8 ences the full spectrum of human curiosity and...\n", + " 1 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 2 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...\n", + " 3 3 , absorbed in the bewilderment of contact, whi...},\n", + " 'token_ct': 11911},\n", + " 'id': 17},\n", + " {'query': \"How does Alex Mercer's mentorship style impact the team dynamics and mission success?\",\n", + " 'answer': \"# Alex Mercer's Mentorship Style and Its Impact on Team Dynamics and Mission Success\\n\\n## Mentorship Style\\n\\nAlex Mercer's mentorship style is characterized by a blend of respect, guidance, and protective oversight. He maintains a respectful distance, allowing team members to grow and develop their skills while providing the necessary support and approval when needed. This approach is evident in his interactions with Sam Rivera, where he acknowledges Sam's insights and encourages their contributions, fostering a sense of trust and responsibility [Data: Sources (2)]. Mercer's mentorship is not overbearing; instead, it is marked by subtle affirmations and a willingness to listen, which helps in building a collaborative environment.\\n\\n## Impact on Team Dynamics\\n\\nMercer's mentorship significantly influences the team dynamics by creating a balanced atmosphere where each member feels valued and empowered. His guidance helps bridge the gap between the experienced and the less experienced members, such as Sam Rivera. This dynamic is crucial in high-stakes missions where trust and mutual respect are paramount. For instance, Mercer's approval of Sam's observations about signal inconsistencies not only boosts Sam's confidence but also reinforces the importance of keen observation and critical thinking within the team [Data: Sources (2)].\\n\\nMoreover, Mercer's ability to maintain a calm and composed demeanor under pressure sets a standard for the team, encouraging them to stay focused and resilient. His interactions with Taylor Cruz and Jordan Hayes further illustrate his role in maintaining team cohesion. By addressing concerns and providing clear directives, Mercer ensures that the team remains aligned with their mission objectives [Data: Sources (2)].\\n\\n## Contribution to Mission Success\\n\\nMercer's mentorship directly contributes to the mission's success by fostering a culture of collaboration and continuous learning. His support enables team members like Sam Rivera to take on pivotal roles in deciphering extraterrestrial signals, which is critical for the mission at Dulce Base. The trust and respect he cultivates within the team lead to more effective communication and problem-solving, essential components in navigating the uncertainties of their mission [Data: Reports (5); Sources (2)].\\n\\nAdditionally, Mercer's mentorship helps in mitigating risks by ensuring that team members are well-prepared and confident in their abilities. His balanced approach to leadership, combining mentorship with strategic oversight, allows the team to adapt to evolving challenges and maintain their focus on the mission's goals [Data: Reports (5); Sources (2)].\\n\\nIn summary, Alex Mercer's mentorship style plays a pivotal role in shaping the team dynamics and driving the mission's success. His respectful and supportive approach fosters a collaborative environment, enhances team cohesion, and ensures that each member can contribute effectively to the mission's objectives.\\n\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 5 Sam Rivera and the Paranormal Military Squad a... \n", + " \n", + " content \n", + " 0 # Sam Rivera and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 2 . \"Your take on these signal inconsistencies?\"...\n", + " 1 3 , absorbed in the bewilderment of contact, whi...\n", + " 2 3 , absorbed in the bewilderment of contact, whi...\n", + " 3 3 , absorbed in the bewilderment of contact, whi...},\n", + " 'token_ct': 11846},\n", + " 'id': 18},\n", + " {'query': \"Can you provide more details about Alex Mercer's interactions with other team members, such as Taylor Cruz and Jordan Hayes?\",\n", + " 'answer': '# Alex Mercer\\'s Interactions with Team Members\\n\\n## Interaction with Taylor Cruz\\n\\nAlex Mercer\\'s relationship with Taylor Cruz is characterized by a blend of mutual respect and underlying tension. Cruz, known for their cautious and strategic approach, often interacts with Mercer in a manner that underscores the gravity of their mission. For instance, during a critical moment at Dulce Base, Taylor asks Mercer, \"Are we ready, Mercer?\" to which Alex responds with a quiet command, \"Initiate the protocol. It\\'s time we answer the cosmos\" [Data: Sources (8)]. This exchange highlights the balance of authority and collaboration between the two, with Mercer often taking a more diplomatic and reassuring stance compared to Cruz\\'s pragmatic and sometimes skeptical demeanor.\\n\\nCruz\\'s interactions with Mercer also reflect a dynamic where Cruz\\'s assertiveness and need for control occasionally clash with Mercer\\'s more contemplative and inclusive leadership style. For example, when discussing the potential risks of their mission, Cruz emphasizes the need for caution, stating, \"If there’s even the slightest chance it understands, we can’t afford missteps\" [Data: Sources (8)]. This pragmatic approach contrasts with Mercer\\'s focus on the broader implications of their actions, as seen when he says, \"Empathy could bridge galaxies. Let\\'s harness this connection and proceed with cautious optimism\" [Data: Sources (8)].\\n\\n## Interaction with Dr. Jordan Hayes\\n\\nAlex Mercer\\'s interactions with Dr. Jordan Hayes are marked by a deep mutual respect and a shared commitment to their mission. Hayes, who leads the efforts in decrypting and interpreting alien signals, often collaborates closely with Mercer. Their relationship is built on a foundation of trust and professional admiration. For instance, during a pivotal moment at Dulce Base, Mercer observes Hayes\\'s work with a sense of reverence, acknowledging the critical role Hayes plays in their mission [Data: Sources (8)].\\n\\nMercer and Hayes often engage in thoughtful discussions about the implications of their findings. In one instance, Mercer reflects on the significance of their mission, stating, \"We could be on the frontier of a new kind of diplomacy,\" to which Hayes responds, \"If that\\'s the case, then these communications are our olive branch across the cosmos\" [Data: Sources (8)]. This exchange highlights their shared understanding of the profound impact their work could have on humanity\\'s future.\\n\\nTheir interactions also reveal a balance of analytical rigor and emotional intelligence. While Hayes focuses on the technical aspects of their mission, Mercer often provides a broader perspective, emphasizing the importance of empathy and understanding in their communication with extraterrestrial intelligence. This dynamic is evident when Mercer advises Hayes to \"Keep focused on the syntax, dissect its nuances. We\\'re not just decoding signals; we\\'re translating intentions\" [Data: Sources (8)].\\n\\n## Conclusion\\n\\nOverall, Alex Mercer\\'s interactions with Taylor Cruz and Dr. Jordan Hayes reflect a complex web of professional relationships that are crucial to the success of their mission. While Cruz\\'s pragmatic and cautious approach provides a necessary counterbalance to Mercer\\'s diplomatic and inclusive leadership style, Hayes\\'s analytical expertise and mutual respect with Mercer create a strong foundation for their collaborative efforts. These interactions underscore the importance of teamwork and the diverse skill sets each member brings to the Paranormal Military Squad\\'s mission at Dulce Base.\\n',\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 8 ences the full spectrum of human curiosity and...\n", + " 1 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 2 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...\n", + " 3 3 , absorbed in the bewilderment of contact, whi...},\n", + " 'token_ct': 12204},\n", + " 'id': 19},\n", + " {'query': 'What other missions or projects has Alex Mercer been involved in within the Paranormal Military Squad?',\n", + " 'answer': 'Alex Mercer is a prominent figure within the Paranormal Military Squad, primarily known for his leadership and diplomatic role in the mission centered around Dulce Base and interstellar communication efforts. This mission involves establishing contact with extraterrestrial intelligence and is considered one of the most significant undertakings of the squad [Data: Reports (4); Sources (5)].\\n\\nIn the context of the Dulce Base mission, Mercer is depicted as a leader who balances strategic planning with a diplomatic approach. His interactions with other key team members, such as Dr. Jordan Hayes and Taylor Cruz, highlight his ability to foster collaboration and guide the team through complex and unprecedented scenarios [Data: Reports (4); Sources (5)].\\n\\nWhile the provided data does not explicitly mention other specific missions or projects that Alex Mercer has been involved in, his role in the Dulce Base mission suggests a high level of expertise and experience in handling critical and sensitive operations within the Paranormal Military Squad. His leadership qualities and strategic mindset imply that he is likely to have been involved in other significant projects, although further details would be needed to confirm this.',\n", + " 'score': 70,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 1 9 ; we are the threads that may weave a new cosm...\n", + " 2 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 3 8 ences the full spectrum of human curiosity and...\n", + " 4 5 the universe.\\n\\nIn a symphony of clicks and ...},\n", + " 'token_ct': 12395},\n", + " 'id': 20},\n", + " {'query': 'What specific tasks does Alex Mercer perform at Dulce Base?',\n", + " 'answer': \"### Specific Tasks of Alex Mercer at Dulce Base\\n\\n**1. Leadership and Oversight**\\n\\nAlex Mercer plays a crucial role in leading and overseeing the operations at Dulce Base. He is often seen surveying his team and ensuring that each member is focused on their respective tasks. His leadership is instrumental in maintaining the team's morale and direction, especially during high-stakes operations involving extraterrestrial communication and research [Data: Reports (2); Sources (8)].\\n\\n**2. Coordination of Decryption Efforts**\\n\\nMercer is deeply involved in the decryption of alien signals. He works closely with team members like Dr. Jordan Hayes, Sam Rivera, and Taylor Cruz to interpret and understand the complex alien communications. His role includes providing strategic insights and ensuring that the decryption process is aligned with the broader mission objectives [Data: Reports (2); Sources (8)].\\n\\n**3. Diplomatic Engagement**\\n\\nAlex Mercer also acts as a diplomat in the team's interactions with extraterrestrial intelligence. He emphasizes the importance of empathy and understanding in their communications, advocating for a cautious yet optimistic approach to potential alien contact. This diplomatic stance is crucial in navigating the uncertainties and risks associated with extraterrestrial engagement [Data: Reports (2); Sources (8)].\\n\\n**4. Crisis Management**\\n\\nIn moments of crisis, Mercer is the stabilizing force for the team. He provides clear directives and reassurances, helping the team navigate through tense and uncertain situations. His ability to remain calm and composed under pressure is vital for the team's success in their covert operations [Data: Reports (2); Sources (8)].\\n\\n**5. Strategic Decision-Making**\\n\\nMercer is involved in making strategic decisions that impact the overall mission at Dulce Base. He evaluates the risks and benefits of various actions, ensuring that the team's efforts are both effective and aligned with their long-term goals. His strategic acumen is a key asset in the complex and high-stakes environment of Dulce Base [Data: Reports (2); Sources (8)].\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 2 Dulce Base: Extraterrestrial Research and Comm... \n", + " \n", + " content \n", + " 0 # Dulce Base: Extraterrestrial Research and Co... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 8 ences the full spectrum of human curiosity and...\n", + " 1 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 2 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...\n", + " 3 3 , absorbed in the bewilderment of contact, whi...},\n", + " 'token_ct': 11792},\n", + " 'id': 21},\n", + " {'query': 'What is the background and expertise of Alex Mercer?',\n", + " 'answer': \"# Background and Expertise of Alex Mercer\\n\\n## Leadership and Diplomatic Role\\n\\nAlex Mercer is a prominent figure within the Paranormal Military Squad, recognized for his leadership and diplomatic approach in the mission to establish contact with alien intelligence. His role is characterized by strategic planning and guiding the team through complex interstellar communication efforts [Data: Reports (4)]. Mercer's leadership is crucial in navigating the delicate balance between scientific exploration and military protocol, ensuring that the team's actions are both effective and cautious.\\n\\n## Collaborative Dynamics\\n\\nMercer's interactions with other key team members, such as Taylor Cruz and Dr. Jordan Hayes, highlight his ability to foster a collaborative environment. He respects the expertise of his colleagues and works closely with them to achieve the squad's objectives. This collaborative dynamic is essential for the success of their mission, as it allows for a diverse range of skills and perspectives to be utilized effectively [Data: Reports (4); Sources (3, 8)].\\n\\n## Strategic and Diplomatic Skills\\n\\nMercer's strategic acumen is evident in his approach to potential extraterrestrial contact. He emphasizes the importance of understanding and interpreting alien signals with caution and precision. His diplomatic skills are also crucial, as they help in managing the complex relationship dynamics within the team and in potential interactions with alien intelligence [Data: Reports (4); Sources (3, 8)].\\n\\n## Role in First Contact\\n\\nAlex Mercer is suspected to have played a significant role in what could be humanity's first contact with extraterrestrial beings. This monumental event underscores the importance of his leadership and strategic planning in the squad's operations. The implications of such contact are profound, potentially altering humanity's understanding of the universe and its place within it [Data: Reports (4)].\\n\\n## Conclusion\\n\\nIn summary, Alex Mercer is a key leader within the Paranormal Military Squad, known for his strategic and diplomatic skills. His ability to foster collaboration and navigate complex interstellar communication efforts makes him an invaluable asset to the team. Mercer's role in potential first contact with extraterrestrial intelligence highlights the significance of his expertise and leadership in the squad's mission.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 8 ences the full spectrum of human curiosity and...\n", + " 2 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 3 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...},\n", + " 'token_ct': 11970},\n", + " 'id': 22},\n", + " {'query': 'How does Alex Mercer contribute to the decryption of alien signals?',\n", + " 'answer': \"# Alex Mercer's Contribution to the Decryption of Alien Signals\\n\\n## Leadership and Coordination\\n\\nAlex Mercer plays a pivotal role in the Paranormal Military Squad's efforts to decrypt alien signals, primarily through his leadership and coordination skills. As a leader, Mercer oversees the team's activities and ensures that each member is focused on their tasks. His presence in the command center is described as a stabilizing force, providing the necessary oversight and strategic direction for the team [Data: Reports (4); Sources (8)]. Mercer's ability to maintain a calm and composed demeanor under pressure helps the team stay focused on their mission, even when faced with the complexities of alien communication.\\n\\n## Diplomatic Approach\\n\\nMercer's diplomatic approach is crucial in the context of interstellar communication. He emphasizes the importance of understanding and empathy in their interactions with potential extraterrestrial intelligence. This perspective is vital for the team as they navigate the unknown and attempt to establish a meaningful dialogue with alien beings. Mercer's focus on diplomacy and strategic planning ensures that the team's efforts are not just about decryption but also about building a bridge of understanding between humanity and extraterrestrial entities [Data: Reports (4); Sources (8)].\\n\\n## Collaboration with Team Members\\n\\nMercer works closely with other key figures in the squad, such as Dr. Jordan Hayes and Taylor Cruz. His interactions with Hayes, who leads the decryption and analysis efforts, are particularly noteworthy. Mercer provides support and guidance, helping to align the team's technical and strategic objectives. This collaboration is essential for the successful decryption of alien signals, as it combines Mercer's leadership with Hayes' analytical expertise [Data: Reports (4); Sources (8)].\\n\\n## Strategic Decision-Making\\n\\nMercer's role involves making critical decisions that impact the direction of the team's efforts. He is described as someone who balances caution with optimism, ensuring that the team proceeds with both curiosity and prudence. This strategic decision-making is evident in moments where Mercer directs the team to focus on specific aspects of the alien signals, such as identifying patterns and anomalies that could indicate a form of intelligence [Data: Reports (4); Sources (8)].\\n\\n## Conclusion\\n\\nIn summary, Alex Mercer's contribution to the decryption of alien signals is multifaceted. His leadership, diplomatic approach, collaboration with team members, and strategic decision-making are all integral to the team's mission. Mercer's ability to guide the team through the complexities of interstellar communication underscores his importance in the Paranormal Military Squad's efforts to establish contact with extraterrestrial intelligence.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 8 ences the full spectrum of human curiosity and...\n", + " 1 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 2 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...\n", + " 3 3 , absorbed in the bewilderment of contact, whi...},\n", + " 'token_ct': 12055},\n", + " 'id': 23},\n", + " {'query': 'What are the relationships between Alex Mercer and other key personnel like Sam Rivera, Taylor Cruz, and Jordan Hayes?',\n", + " 'answer': \"# Relationships Between Alex Mercer and Key Personnel\\n\\n## Alex Mercer and Sam Rivera\\n\\nAlex Mercer and Sam Rivera share a relationship characterized by mentorship and mutual respect. Alex's tone towards Sam is respectful, acknowledging the latter's potential and the weight of expectations placed upon him [Data: Sources (2)]. Sam's role as a guiding intellect in the mission is affirmed by Alex, who values Sam's keen observations and analytical skills [Data: Sources (2)]. This dynamic is further highlighted by their synchronized actions and mutual understanding during critical moments of the mission [Data: Sources (2)].\\n\\n## Alex Mercer and Taylor Cruz\\n\\nThe relationship between Alex Mercer and Taylor Cruz is complex, marked by a blend of authority, compliance, and occasional tension. Taylor Cruz is depicted as a commanding figure with a robust confidence that sometimes borders on tyrannical [Data: Sources (2)]. Alex, while adhering to the chain of command, often finds himself at odds with Taylor's strict protocols, especially when the mission's uncertainties demand a more flexible approach [Data: Sources (2)]. Despite this, there are moments of unexpected agreement and mutual acknowledgment of the mission's gravity, indicating a nuanced and evolving relationship [Data: Sources (2)].\\n\\n## Alex Mercer and Dr. Jordan Hayes\\n\\nAlex Mercer and Dr. Jordan Hayes share a professional relationship built on mutual respect and collaboration. Jordan Hayes is a critical figure in the mission, leading efforts in decrypting and interpreting alien signals [Data: Reports (4)]. Alex values Jordan's analytical skills and often engages in discussions that challenge the mission's narrative and protocols [Data: Sources (2)]. Their interactions are marked by a shared understanding of the mission's stakes and a commitment to uncovering the truth, even when it means questioning established protocols [Data: Sources (2)].\\n\\n## Conclusion\\n\\nAlex Mercer's relationships with Sam Rivera, Taylor Cruz, and Dr. Jordan Hayes are integral to the dynamics of the Paranormal Military Squad. These relationships are characterized by mentorship, authority, mutual respect, and occasional tension, reflecting the complexities of their mission and the high stakes involved.\\n\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 2 . \"Your take on these signal inconsistencies?\"...\n", + " 1 3 , absorbed in the bewilderment of contact, whi...\n", + " 2 2 . \"Your take on these signal inconsistencies?\"...\n", + " 3 3 , absorbed in the bewilderment of contact, whi...},\n", + " 'token_ct': 11965},\n", + " 'id': 24},\n", + " {'query': 'What specific missions has Alex Mercer been involved in within the Paranormal Military Squad?',\n", + " 'answer': \"Alex Mercer is a prominent figure within the Paranormal Military Squad, primarily involved in missions centered around interstellar communication and extraterrestrial engagement. His leadership and diplomatic skills are crucial in guiding the team through complex and unprecedented scenarios. Below are some specific missions and activities that highlight his involvement within the squad:\\n\\n### Dulce Base Operations\\n\\nAlex Mercer plays a significant role in the operations at Dulce Base, which serves as the central hub for the Paranormal Military Squad's efforts in interstellar communication. The base is the site of significant technological and strategic activities aimed at establishing contact with alien intelligence [Data: Reports (4)]. Mercer's leadership is evident in his strategic planning and diplomatic approach to potential extraterrestrial contact [Data: Reports (4); Sources (5)].\\n\\n### First Contact with Extraterrestrial Beings\\n\\nOne of the most critical missions Mercer has been involved in is the suspected first contact with extraterrestrial beings. This mission involves decrypting and interpreting alien signals, a task that Mercer oversees with a focus on understanding rather than confrontation. His leadership during this mission is characterized by a balance of caution and curiosity, ensuring that the team approaches the unknown with both prudence and an open mind [Data: Reports (4); Sources (5)].\\n\\n### Collaboration with Key Team Members\\n\\nMercer works closely with other key figures in the squad, such as Dr. Jordan Hayes and Taylor Cruz. His interactions with these team members are marked by mutual respect and collaboration, which are essential for the success of their missions. For instance, during the decryption of alien signals, Mercer relies on Hayes' analytical skills while providing strategic oversight and maintaining team morale [Data: Reports (4); Sources (5)].\\n\\n### Strategic and Diplomatic Leadership\\n\\nThroughout various missions, Mercer's strategic and diplomatic leadership is a recurring theme. He often emphasizes the importance of understanding and diplomacy in their interactions with extraterrestrial intelligence. This approach is crucial in navigating the complexities of interstellar communication and ensuring that the squad's actions are measured and thoughtful [Data: Reports (4); Sources (5)].\\n\\nIn summary, Alex Mercer's involvement in the Paranormal Military Squad is marked by his leadership in interstellar communication efforts, his role in the suspected first contact with extraterrestrial beings, and his strategic and diplomatic approach to missions. His ability to collaborate effectively with other key team members further underscores his importance within the squad.\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 1 9 ; we are the threads that may weave a new cosm...\n", + " 2 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 3 8 ences the full spectrum of human curiosity and...\n", + " 4 5 the universe.\\n\\nIn a symphony of clicks and ...},\n", + " 'token_ct': 12655},\n", + " 'id': 25},\n", + " {'query': 'What are the specific responsibilities and tasks Alex Mercer handles in the Dulce Base mission?',\n", + " 'answer': \"# Responsibilities and Tasks of Alex Mercer in the Dulce Base Mission\\n\\n## Leadership and Oversight\\n\\nAlex Mercer plays a pivotal role in the operations at Dulce Base, primarily through his leadership and oversight responsibilities. He is depicted as a central figure who surveys his team and ensures that each member is focused on their respective tasks. His leadership is crucial in maintaining the team's concentration and morale, especially during high-stakes moments of extraterrestrial communication and decryption [Data: Reports (2); Sources (8)].\\n\\n## Coordination of Decryption Efforts\\n\\nOne of Mercer's key tasks is overseeing the decryption of alien signals. He works closely with team members like Jordan Hayes, Sam Rivera, and Taylor Cruz to interpret and respond to these signals. Mercer's role involves not just technical oversight but also strategic decision-making, ensuring that the team's efforts are aligned with the broader mission objectives [Data: Reports (2); Sources (8)].\\n\\n## Diplomatic Engagement\\n\\nMercer is also involved in the diplomatic aspects of the mission. He understands the gravity of their work and the potential implications of their communications with extraterrestrial intelligence. His statements often reflect a balance between cautious optimism and the need for measured responses, highlighting his role in shaping the team's approach to these unprecedented interactions [Data: Sources (8)].\\n\\n## Crisis Management\\n\\nIn moments of crisis, Mercer is the stabilizing force for the team. He provides clear directives and reassurances, helping to navigate the uncertainties and potential risks associated with their mission. His ability to remain composed under pressure is a critical asset, ensuring that the team can continue their work effectively even in the face of unexpected challenges [Data: Sources (8)].\\n\\n## Tactical Decision-Making\\n\\nMercer is responsible for making tactical decisions that impact the mission's success. Whether it's initiating communication protocols or deciding on the next steps in their decryption efforts, his decisions are informed by a deep understanding of both the technical and strategic aspects of their work. This dual focus allows him to guide the team through complex scenarios with a clear sense of purpose [Data: Reports (2); Sources (8)].\\n\\n## Conclusion\\n\\nIn summary, Alex Mercer's responsibilities at Dulce Base encompass leadership, coordination of decryption efforts, diplomatic engagement, crisis management, and tactical decision-making. His role is integral to the mission's success, providing both strategic oversight and hands-on involvement in the team's critical tasks.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 2 Dulce Base: Extraterrestrial Research and Comm... \n", + " \n", + " content \n", + " 0 # Dulce Base: Extraterrestrial Research and Co... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 8 ences the full spectrum of human curiosity and...\n", + " 1 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 2 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...\n", + " 3 3 , absorbed in the bewilderment of contact, whi...},\n", + " 'token_ct': 11869},\n", + " 'id': 26},\n", + " {'query': \"Can you provide more details on Alex Mercer's background and how he became a leader within the Paranormal Military Squad?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 27},\n", + " {'query': 'Are there any records or reports that detail other missions or projects undertaken by the Paranormal Military Squad?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 28},\n", + " {'query': \"What are the key achievements and milestones of the Dulce Base mission under Alex Mercer's leadership?\",\n", + " 'answer': \"## Key Achievements and Milestones of the Dulce Base Mission under Alex Mercer's Leadership\\n\\n### Establishing First Contact\\n\\nOne of the most significant achievements of the Dulce Base mission was the successful establishment of first contact with extraterrestrial intelligence. Under Alex Mercer's leadership, the Paranormal Military Squad managed to decode and respond to an alien signal, marking humanity's first definitive leap into the cosmic community [Data: Reports (3); Sources (4, 8)]. This milestone was not just a technical achievement but also a profound moment in human history, as it opened the door to interstellar communication and potential collaboration.\\n\\n### Team Coordination and Expertise\\n\\nMercer's leadership was instrumental in coordinating a team with diverse skills and expertise. The team included Sam Rivera, Taylor Cruz, and Jordan Hayes, each bringing unique strengths to the mission. Mercer's ability to harness these individual talents and foster a collaborative environment was crucial for the mission's success. For instance, Sam Rivera's communication expertise and Jordan Hayes's analytical skills in deciphering alien signals were pivotal in navigating the complexities of the mission [Data: Reports (3); Sources (4)].\\n\\n### Overcoming Psychological and Environmental Challenges\\n\\nThe Dulce Military Base, located in the desolate terrain of New Mexico, presented significant psychological and environmental challenges. The base's ominous atmosphere and isolation could have impacted the team's well-being and the mission's success. However, under Mercer's leadership, the team managed to maintain their focus and resolve, effectively mitigating these challenges [Data: Reports (3)].\\n\\n### Strategic Use of Resources\\n\\nMercer demonstrated strategic acumen in utilizing the resources and infrastructure of the Dulce Military Base. The base provided the necessary support for the Paranormal Military Squad to conduct their sensitive operations securely. Mercer's ability to leverage these resources effectively was a key factor in the mission's achievements [Data: Reports (3)].\\n\\n### Transition from Exploration to Engagement\\n\\nA pivotal moment in the mission was the transition from exploration to engagement with the extraterrestrial signal. This shift required a change in objectives and a new approach to the mission. Mercer's leadership was crucial in guiding the team through this transition, ensuring that they adapted their strategies to meet the evolving demands of the mission [Data: Sources (4)].\\n\\n### Conclusion\\n\\nIn summary, Alex Mercer's leadership was marked by several key achievements and milestones, including establishing first contact with extraterrestrial intelligence, coordinating a highly skilled team, overcoming psychological and environmental challenges, strategically using resources, and successfully transitioning from exploration to engagement. These accomplishments underscore Mercer's pivotal role in the success of the Dulce Base mission.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 3 Operation: Dulce and the Paranormal Military S... \n", + " \n", + " content \n", + " 0 # Operation: Dulce and the Paranormal Military... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 4 were at once coherent and enigmatic: \"*Voyage...\n", + " 1 2 . \"Your take on these signal inconsistencies?\"...\n", + " 2 2 . \"Your take on these signal inconsistencies?\"...\n", + " 3 8 ences the full spectrum of human curiosity and...},\n", + " 'token_ct': 11882},\n", + " 'id': 29},\n", + " {'query': \"How do other team members perceive Alex Mercer's leadership and contributions to the mission?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 30},\n", + " {'query': 'What specific technological advancements could result from the discovery of hidden alien technology?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 31},\n", + " {'query': 'How might global politics change in response to the need for international cooperation in managing extraterrestrial contact?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 32},\n", + " {'query': 'What are the potential psychological impacts on individuals and societies upon learning about extraterrestrial intelligence?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 33},\n", + " {'query': 'How can humanity prepare for the ethical dilemmas that may arise from interspecies communication?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 34},\n", + " {'query': 'What role will the Paranormal Military Squad Team play in future interstellar missions and explorations?',\n", + " 'answer': \"### The Role of the Paranormal Military Squad Team in Future Interstellar Missions and Explorations\\n\\nThe Paranormal Military Squad Team, based at Dulce Base, is poised to play a pivotal role in humanity's future interstellar missions and explorations. Their mission has evolved from mere observation to active engagement and preparation for communal outreach beyond the stars [Data: Reports (0)]. This proactive approach signifies their importance in establishing humanity's presence in the interstellar narrative and marks the beginning of a new era in human-alien relations [Data: Reports (0)].\\n\\n#### Key Responsibilities and Contributions\\n\\n1. **Deciphering Alien Code and Patterns**: One of the primary responsibilities of the team is to analyze extraterrestrial patterns and decipher alien code. Dr. Jordan Hayes, a key member of the team, plays a crucial role in this aspect. Their work involves interpreting first contact data and understanding the implications of evolving alien signals, which is essential for predicting extraterrestrial intentions and actions [Data: Reports (0); Sources (3, 10)].\\n\\n2. **Managing Interspecies Communication**: The team is also responsible for managing interspecies communication. This involves not only understanding alien languages but also establishing a dialogue that can bridge the gap between human and extraterrestrial intelligences. Agent Alex Mercer, with his multifaceted role, contributes significantly to this effort by analyzing paranormal activities and ensuring the operational aspects of the command center are in sync with the mission's objectives [Data: Reports (0); Sources (3, 10)].\\n\\n3. **Preparation for First Contact Scenarios**: The team is actively preparing for various first contact scenarios. This includes developing strategies to handle different types of extraterrestrial encounters, whether they are peaceful or potentially hostile. The collaboration among team members, such as Dr. Hayes, Agent Mercer, Sam Rivera, and Taylor Cruz, is crucial in this preparation, as it ensures a comprehensive approach to managing these scenarios [Data: Reports (0); Sources (3, 10)].\\n\\n4. **Scientific Breakthroughs and Technological Advancements**: The discovery of hidden technology and the analysis of alien signals suggest that the team is on the verge of significant scientific breakthroughs. These advancements could lead to new technologies that would be instrumental in future interstellar missions. Dr. Hayes' work, in particular, is highlighted as being on the cusp of such breakthroughs [Data: Reports (0); Sources (3, 10)].\\n\\n#### The Significance of Their Work\\n\\nThe Paranormal Military Squad Team's work is not just about understanding extraterrestrial life but also about ensuring humanity's readiness for interstellar exploration. Their efforts in deciphering alien codes, managing communication, and preparing for first contact are foundational to humanity's future in space. The team's role as humanity's vanguard underscores the significance of their work and the potential impact it could have on our understanding of the universe and our place within it [Data: Reports (0); Sources (3, 10)].\\n\\nIn conclusion, the Paranormal Military Squad Team at Dulce Base is set to play a critical role in future interstellar missions and explorations. Their expertise in analyzing extraterrestrial patterns, managing interspecies communication, and preparing for first contact scenarios positions them as key players in humanity's journey beyond Earth. Their work not only paves the way for scientific and technological advancements but also ensures that humanity is prepared for the challenges and opportunities that lie ahead in the cosmos.\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 0 Dulce Base and the Paranormal Military Squad Team \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 10 every transmission,\" Jordan Hayes murmured, t...\n", + " 2 8 ences the full spectrum of human curiosity and...\n", + " 3 9 ; we are the threads that may weave a new cosm...},\n", + " 'token_ct': 12171},\n", + " 'id': 35},\n", + " {'query': \"How does Mercer's military background influence his approach to leadership and decision-making?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 36},\n", + " {'query': \"What specific instances demonstrate Mercer's ability to balance optimism and caution within the team?\",\n", + " 'answer': \"### Mercer's Leadership: Balancing Optimism and Caution within the Team\\n\\n**1. Mentorship and Guidance**\\n\\nAlex Mercer plays a pivotal role in guiding Sam Rivera and the rest of the team through their mission at Dulce Base. His mentorship is evident when he instills belief and confidence in Sam, who is tasked with adapting their gear to communicate with extraterrestrial signals. Mercer's support helps Sam maintain an optimistic outlook, even as they face the unknown [Data: Sources (3)].\\n\\n**2. Addressing Team Dynamics**\\n\\nMercer demonstrates his ability to balance optimism and caution during a critical briefing where Dr. Jordan Hayes presents a hypothesis about signal disruptions syncing with star alignments. While Taylor Cruz dismisses it as mystic conjecture, Mercer defends the hypothesis, emphasizing that it is based on observed phenomena. This instance shows Mercer's willingness to entertain optimistic theories while grounding them in scientific observation [Data: Sources (3)].\\n\\n**3. Strategic Decision-Making**\\n\\nIn another instance, Mercer faces a moment of decision when the team decodes a message containing coordinates and a warning. He contemplates whether the warning is out of concern or a threat, ultimately deciding that understanding the intent is crucial. This decision reflects Mercer's cautious approach to potential risks while maintaining an optimistic drive to uncover the truth [Data: Sources (3)].\\n\\n**4. Encouraging a Balanced Approach**\\n\\nMercer’s leadership style is further highlighted when he advises the team to approach their mission with the aim to understand rather than confront. This guidance helps the team navigate their roles as both protectors and explorers, balancing the need for caution with the excitement of discovery [Data: Sources (5)].\\n\\n**5. Fostering Team Unity**\\n\\nThroughout their mission, Mercer fosters a sense of unity and shared purpose within the team. His ability to balance optimism and caution is crucial in maintaining morale and ensuring that the team remains focused on their objectives, despite the uncertainties they face [Data: Sources (5)].\\n\\n### Conclusion\\n\\nAlex Mercer’s leadership is characterized by his ability to balance optimism and caution, guiding his team through complex and uncertain situations. His mentorship, strategic decision-making, and emphasis on understanding over confrontation are key instances that demonstrate this balance.\\n\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 5 Sam Rivera and the Paranormal Military Squad a... \n", + " \n", + " content \n", + " 0 # Sam Rivera and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 3 , absorbed in the bewilderment of contact, whi...\n", + " 2 3 , absorbed in the bewilderment of contact, whi...\n", + " 3 5 the universe.\\n\\nIn a symphony of clicks and ...},\n", + " 'token_ct': 11762},\n", + " 'id': 37},\n", + " {'query': 'How does Mercer handle conflicts or disagreements among team members?',\n", + " 'answer': \"## Mercer's Approach to Conflict Resolution Among Team Members\\n\\n### Observational Leadership\\n\\nAlex Mercer demonstrates a keen ability to observe and understand the dynamics within his team. He is often seen watching his companions closely, noting their interactions and the subtle shifts in their behavior. This observational approach allows him to gauge the underlying tensions and address them before they escalate [Data: Sources (3, 4)].\\n\\n### Direct Confrontation and Mediation\\n\\nWhen conflicts arise, Mercer does not shy away from direct confrontation. For instance, during a heated discussion about the nature of the extraterrestrial signals, Taylor Cruz dismisses the hypothesis as 'mystic conjecture.' Mercer immediately steps in, facing Taylor squarely and asserting that the hypothesis is based on observed phenomena, not mysticism. This direct approach helps to clarify misunderstandings and refocus the team on their shared objectives [Data: Sources (3)].\\n\\n### Balancing Caution and Curiosity\\n\\nMercer also balances the team's cautious and curious perspectives. He acknowledges Taylor Cruz's practical concerns while encouraging the team's scientific curiosity. This balance is crucial in maintaining a productive and harmonious working environment. For example, when the team deciphers a potentially dangerous message, Mercer emphasizes the importance of understanding the intent behind the warning, whether it is out of concern or a threat, thus ensuring that all viewpoints are considered [Data: Sources (3, 4)].\\n\\n### Encouraging Collaboration and Unity\\n\\nMercer fosters a sense of unity and collaboration among the team members. He recognizes the importance of each member's contributions and encourages them to work together towards their common goal. This is evident when he reassures the team that they will face the challenges as a united front, emphasizing their collective strength and shared mission [Data: Sources (3, 4)].\\n\\n### Strategic Decision-Making\\n\\nIn moments of critical decision-making, Mercer relies on a strategic approach. He listens to the input from all team members, weighs the potential risks and benefits, and makes informed decisions that align with their mission objectives. This strategic mindset helps to resolve conflicts by providing clear direction and purpose [Data: Sources (3, 4)].\\n\\nOverall, Alex Mercer's approach to handling conflicts and disagreements among team members is characterized by his observational leadership, direct confrontation, balance of caution and curiosity, encouragement of collaboration, and strategic decision-making. These qualities enable him to maintain a cohesive and effective team, even in the face of unprecedented challenges.\\n\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 5 Sam Rivera and the Paranormal Military Squad a... \n", + " \n", + " content \n", + " 0 # Sam Rivera and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 3 , absorbed in the bewilderment of contact, whi...\n", + " 2 3 , absorbed in the bewilderment of contact, whi...\n", + " 3 4 were at once coherent and enigmatic: \"*Voyage...},\n", + " 'token_ct': 11805},\n", + " 'id': 38},\n", + " {'query': \"In what ways does Mercer's mentorship impact the team's overall performance and morale?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 39},\n", + " {'query': \"What are some examples of Mercer's use of empathy in his interactions with both team members and extraterrestrial communications?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 40},\n", + " {'query': 'What specific skills does Alex Mercer bring to the Paranormal Military Squad?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 41},\n", + " {'query': \"How does Alex Mercer's leadership style impact the team's dynamics?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 42},\n", + " {'query': 'What are some challenges Alex Mercer faces during the mission at Dulce Base?',\n", + " 'answer': \"# Challenges Faced by Alex Mercer During the Mission at Dulce Base\\n\\n## Psychological and Environmental Strain\\n\\nOne of the primary challenges Alex Mercer faces during the mission at Dulce Base is the psychological strain induced by the base's ominous atmosphere. The desolate terrain of New Mexico and the isolated nature of the Dulce Military Base contribute to a sense of foreboding and unease among the team members. This environment can affect their psychological well-being and potentially impact the success of the mission [Data: Reports (3)]. The eerie silence and the chilling corridors of the base amplify this strain, making it difficult for Mercer and his team to maintain their composure and focus [Data: Sources (2, 8)].\\n\\n## Leadership and Team Dynamics\\n\\nAs a leader, Mercer also grapples with the complexities of team dynamics. He must navigate the hierarchical structure and the varying personalities within the Paranormal Military Squad. For instance, his interactions with Sam Rivera highlight a mentorship dynamic, where Mercer must balance respect and authority while fostering Rivera's potential [Data: Sources (2)]. Additionally, Mercer's relationship with Taylor Cruz is marked by a tension between command and collaboration, as Cruz's assertive nature sometimes clashes with Mercer's more contemplative approach [Data: Sources (2, 8)].\\n\\n## Uncertainty and the Unknown\\n\\nThe mission's core objective—establishing contact with extraterrestrial intelligence—introduces a significant element of uncertainty. Mercer and his team are constantly on edge, anticipating the unknown and preparing for any anomalies that may arise. This is evident in their cautious approach to deciphering alien signals and the potential implications of these communications [Data: Reports (3); Sources (2, 8)]. The unpredictability of the mission requires Mercer to remain vigilant and adaptable, ensuring that his team is ready to respond to any unforeseen challenges.\\n\\n## Technological and Tactical Challenges\\n\\nMercer also faces technological and tactical challenges during the mission. The advanced alien technology they encounter requires careful analysis and understanding, which can be a daunting task given its complexity and potential implications. The team must work together to decode and interpret these technologies, often under time constraints and the pressure of potential threats [Data: Sources (2, 8)]. Additionally, the tactical aspect of the mission involves navigating the base's labyrinthine structure and dealing with any security measures or unexpected encounters that may arise.\\n\\n## Conclusion\\n\\nIn summary, Alex Mercer faces a multifaceted array of challenges during the mission at Dulce Base. These include psychological and environmental strain, leadership and team dynamics, uncertainty and the unknown, and technological and tactical challenges. Each of these factors requires Mercer to draw upon his experience, adaptability, and leadership skills to guide his team through the mission successfully.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 3 Operation: Dulce and the Paranormal Military S... \n", + " \n", + " content \n", + " 0 # Operation: Dulce and the Paranormal Military... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 2 . \"Your take on these signal inconsistencies?\"...\n", + " 1 8 ences the full spectrum of human curiosity and...\n", + " 2 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 3 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...},\n", + " 'token_ct': 11906},\n", + " 'id': 43},\n", + " {'query': 'How does Alex Mercer interact with other key team members like Jordan Hayes and Sam Rivera?',\n", + " 'answer': \"# Alex Mercer's Interactions with Key Team Members\\n\\n## Interaction with Jordan Hayes\\n\\nAlex Mercer and Dr. Jordan Hayes share a professional relationship characterized by mutual respect and collaboration. Mercer often relies on Hayes' expertise in decrypting and interpreting alien signals, recognizing the critical role Hayes plays in their mission. For instance, during a tense moment in the Dulce Base, Mercer acknowledges Hayes' analytical skills and encourages a methodical approach to their tasks [Data: Reports (4); Sources (2)]. This dynamic is evident when Mercer supports Hayes' efforts to decode complex alien messages, emphasizing the importance of understanding and translating intentions accurately [Data: Sources (3, 5)]. Their interactions are marked by a balance of leadership and intellectual partnership, with Mercer valuing Hayes' contributions to the team's objectives.\\n\\n## Interaction with Sam Rivera\\n\\nMercer's relationship with Sam Rivera is one of mentorship and guidance. He recognizes Rivera's potential and keen intellect, often providing support and encouragement. In one instance, Mercer shows approval of Rivera's observations about signal inconsistencies, affirming Rivera's role as a guiding intellect within the team [Data: Sources (2)]. This mentorship is further highlighted when Mercer and Rivera work together to adapt their systems for alien communication, with Mercer fostering an environment where Rivera's skills can flourish [Data: Sources (3, 5)]. Their interactions reflect a dynamic where Mercer acts as a mentor, helping Rivera navigate the complexities of their mission while ensuring that Rivera's contributions are acknowledged and valued.\\n\\n## Collaborative Dynamics\\n\\nOverall, Alex Mercer's interactions with Jordan Hayes and Sam Rivera are integral to the success of the Paranormal Military Squad's mission. Mercer's leadership style is collaborative, fostering a team environment where each member's expertise is leveraged for the greater good. He balances authority with support, ensuring that both Hayes and Rivera feel empowered to contribute their unique skills to the team's objectives. This approach not only strengthens the team's cohesion but also enhances their ability to tackle the challenges posed by their interstellar communication efforts [Data: Reports (4); Sources (2, 3, 5)].\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 2 . \"Your take on these signal inconsistencies?\"...\n", + " 1 3 , absorbed in the bewilderment of contact, whi...\n", + " 2 8 ences the full spectrum of human curiosity and...\n", + " 3 5 the universe.\\n\\nIn a symphony of clicks and ...},\n", + " 'token_ct': 11968},\n", + " 'id': 44},\n", + " {'query': \"What are the broader implications of Alex Mercer's decisions during Operation: Dulce?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 45},\n", + " {'query': 'What are the specific skills and expertise that Alex Mercer brings to the Paranormal Military Squad?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 46},\n", + " {'query': \"How does Alex Mercer's leadership style differ from that of other key figures in the squad?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 47},\n", + " {'query': 'Can you provide more details on the suspected first contact mission and its outcomes?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 48},\n", + " {'query': \"What are the technological advancements and strategies employed at Dulce Base under Mercer's leadership?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 49},\n", + " {'query': 'How do the dynamics between Alex Mercer and other team members, such as Dr. Jordan Hayes and Taylor Cruz, influence the success of their missions?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 50},\n", + " {'query': 'What specific missions or operations has Alex Mercer led prior to Operation: Dulce?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 51},\n", + " {'query': \"How does Alex Mercer's leadership style compare to that of other key figures in the Paranormal Military Squad?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 52},\n", + " {'query': 'What are the key challenges Alex Mercer faces in leading Operation: Dulce?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 53},\n", + " {'query': 'How does Alex Mercer collaborate with Dr. Jordan Hayes and Taylor Cruz in the mission?',\n", + " 'answer': \"# Collaboration Dynamics of Alex Mercer with Dr. Jordan Hayes and Taylor Cruz in the Mission\\n\\n## Alex Mercer's Leadership and Diplomatic Role\\n\\nAlex Mercer is recognized as a leader within the Paranormal Military Squad, guiding the team in their mission to establish contact with alien intelligence. His leadership is characterized by a diplomatic approach to potential extraterrestrial contact and a focus on strategic planning [Data: Reports (4)]. Mercer's interactions with his team members, particularly Dr. Jordan Hayes and Taylor Cruz, highlight a collaborative yet complex dynamic essential for the mission's success.\\n\\n## Collaboration with Dr. Jordan Hayes\\n\\nDr. Jordan Hayes plays a critical role in decrypting and analyzing alien signals, and their methodical approach is crucial to the squad's communication efforts [Data: Reports (4)]. Mercer and Hayes share a mutual respect for each other's expertise, which is evident in their interactions. For instance, during a critical moment in the mission, Mercer acknowledges Hayes' analytical skills and encourages them to focus on the syntax and nuances of the alien signals, emphasizing the importance of understanding intentions rather than just decoding messages [Data: Sources (8)]. This collaboration underscores the reliance on Hayes' skills and the trust Mercer places in their judgment.\\n\\n## Interaction with Taylor Cruz\\n\\nTaylor Cruz is depicted as a commanding figure within the squad, known for their cautious and strategic approach. Cruz's role involves providing pragmatic oversight and exercising skepticism, particularly during the interstellar communication process [Data: Reports (4)]. The relationship between Mercer and Cruz is marked by a balance of authority and collaboration. For example, during a briefing, Cruz's assertiveness and focus on actionable intelligence complement Mercer's diplomatic stance, creating a dynamic where both strategic caution and open-minded exploration are valued [Data: Sources (3)]. This balance is crucial for navigating the uncertainties of their mission.\\n\\n## Team Dynamics and Mission Success\\n\\nThe collaboration between Mercer, Hayes, and Cruz is a testament to the importance of diverse perspectives and expertise in achieving the squad's objectives. Mercer's diplomatic leadership, Hayes' analytical prowess, and Cruz's strategic caution create a well-rounded team capable of addressing the multifaceted challenges of interstellar communication. Their interactions reflect a shared commitment to the mission, with each member contributing their strengths to ensure the success of their groundbreaking endeavor [Data: Reports (4); Sources (3, 8)].\\n\\n## Conclusion\\n\\nIn summary, Alex Mercer's collaboration with Dr. Jordan Hayes and Taylor Cruz is characterized by mutual respect, strategic planning, and a balance of caution and open-mindedness. This dynamic is essential for the Paranormal Military Squad's mission to establish contact with alien intelligence, highlighting the importance of teamwork and diverse expertise in navigating the unknown.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 8 ences the full spectrum of human curiosity and...\n", + " 2 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 3 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...},\n", + " 'token_ct': 12084},\n", + " 'id': 54},\n", + " {'query': 'What training programs or experiences have specifically prepared Alex Mercer for extraterrestrial communication?',\n", + " 'answer': \"Agent Alex Mercer is a key member of the Paranormal Military Squad Team at Dulce Base, where his role encompasses the analysis of paranormal activities and the operational aspects of the command center [Data: Reports (0)]. His experiences and training have uniquely positioned him to handle the complexities of extraterrestrial communication and engagement. The following sections detail the specific training programs and experiences that have prepared him for this role. \\n\\n### Operational Experience at Dulce Base\\n\\nAlex Mercer's involvement at Dulce Base has been integral to the team's mission of analyzing extraterrestrial patterns and preparing for first contact scenarios. His operational experience includes overseeing the command center's activities and ensuring the smooth execution of protocols during critical missions [Data: Reports (0)]. This hands-on experience has provided him with a deep understanding of the technological and strategic aspects required for extraterrestrial communication.\\n\\n### Psychological Preparedness and Intuition\\n\\nMercer's role also involves significant psychological preparedness, as evidenced by his discussions about intuition and trust with his colleagues [Data: Reports (0); Sources (8)]. This aspect of his training is crucial for interpreting and responding to alien signals, which often require a blend of analytical skills and intuitive understanding. His ability to navigate the psychological complexities of the mission underscores his readiness for extraterrestrial communication.\\n\\n### Collaboration and Team Dynamics\\n\\nAlex Mercer's collaboration with other key team members, such as Dr. Jordan Hayes, Sam Rivera, and Taylor Cruz, has been essential in managing interspecies communication [Data: Reports (0)]. Working closely with experts in alien code deciphering and pattern analysis has enriched his knowledge and skills, making him a well-rounded agent capable of handling the multifaceted challenges of extraterrestrial engagement.\\n\\n### First Contact Event Observation\\n\\nMercer's observation of the first contact event and his shared concerns about its larger implications highlight his direct involvement in critical moments of extraterrestrial communication [Data: Reports (0); Sources (8)]. This experience has provided him with firsthand insights into the nuances of alien interactions and the importance of measured responses.\\n\\n### Conclusion\\n\\nIn summary, Alex Mercer's training and experiences at Dulce Base, combined with his psychological preparedness, collaborative efforts, and direct involvement in first contact events, have specifically prepared him for the complexities of extraterrestrial communication. His multifaceted role within the Paranormal Military Squad Team underscores his readiness to navigate the challenges of interstellar engagement.\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 0 Dulce Base and the Paranormal Military Squad Team \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 8 ences the full spectrum of human curiosity and...\n", + " 1 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 2 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...\n", + " 3 3 , absorbed in the bewilderment of contact, whi...},\n", + " 'token_ct': 11948},\n", + " 'id': 55},\n", + " {'query': \"What were Dr. Jordan Hayes' specific contributions during the first contact event?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 56},\n", + " {'query': \"How did Taylor Cruz's actions and decisions impact the first contact event?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 57},\n", + " {'query': 'What were the main challenges faced by the Paranormal Military Squad during the first contact event?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 58},\n", + " {'query': 'How did the team prepare for the first contact event at Dulce Base?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 59},\n", + " {'query': 'What were the immediate outcomes of the first contact event for the Paranormal Military Squad?',\n", + " 'answer': \"# Immediate Outcomes of the First Contact Event for the Paranormal Military Squad\\n\\n## Shift in Mission Focus\\n\\nThe first contact event marked a significant shift in the mission of the Paranormal Military Squad Team at Dulce Base. Initially focused on observation, the team transitioned to active engagement and preparation for interstellar communication. This proactive approach aimed to establish humanity's presence in the interstellar narrative, indicating a historic effort to engage in extraterrestrial communication [Data: Reports (0)].\\n\\n## Psychological and Operational Challenges\\n\\nThe event brought about psychological and operational challenges for the team members. Agent Alex Mercer, for instance, experienced a conflict between compliance with protocols and his natural inclination to question and explore. This internal struggle was evident during briefings and interactions with other team members, such as Taylor Cruz and Dr. Jordan Hayes [Data: Sources (0, 11)]. The psychological complexities of the mission were further highlighted by the need for intuition and trust, as emphasized by Mercer's discussions with colleagues [Data: Reports (0); Sources (0)].\\n\\n## Enhanced Collaboration and Team Dynamics\\n\\nThe first contact event also led to enhanced collaboration and strengthened relationships within the team. Dr. Jordan Hayes and Agent Alex Mercer worked closely on managing interspecies communication, a task essential for the mission's success. Their collaboration, along with that of other team members like Sam Rivera and Taylor Cruz, underscored the collective effort required to decipher alien code and prepare for first contact [Data: Reports (0); Sources (0)].\\n\\n## Technological and Scientific Breakthroughs\\n\\nThe event spurred significant technological and scientific advancements. Dr. Jordan Hayes played a critical role in deciphering alien code and interpreting extraterrestrial patterns, suggesting that the team was on the verge of a scientific breakthrough. The discovery of hidden technology and evolving alien signals indicated potential advancements in understanding extraterrestrial intelligence [Data: Reports (0); Sources (0)].\\n\\n## Strategic and Tactical Adjustments\\n\\nFinally, the first contact event necessitated strategic and tactical adjustments. The team had to adapt their protocols and strategies to manage the new challenges posed by extraterrestrial communication. This included balancing the need for adherence to protocols with the flexibility required to navigate the unknown variables of the mission [Data: Reports (0); Sources (0)].\\n\\nOverall, the immediate outcomes of the first contact event for the Paranormal Military Squad were multifaceted, involving shifts in mission focus, psychological and operational challenges, enhanced collaboration, technological breakthroughs, and strategic adjustments.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 0 Dulce Base and the Paranormal Military Squad Team \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 0 # Operation: Dulce\\n\\n## Chapter 1\\n\\nThe thru...\n", + " 1 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 2 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 3 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 4 0 # Operation: Dulce\\n\\n## Chapter 1\\n\\nThe thru...\n", + " 5 3 , absorbed in the bewilderment of contact, whi...},\n", + " 'token_ct': 11357},\n", + " 'id': 60},\n", + " {'query': 'What specific roles do each of the team members play in Operation: Dulce?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 61},\n", + " {'query': 'What are the potential risks and challenges associated with establishing contact with extraterrestrial intelligence?',\n", + " 'answer': None,\n", + " 'score': -inf,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 2 Dulce Base: Extraterrestrial Research and Comm... \n", + " \n", + " content \n", + " 0 # Dulce Base: Extraterrestrial Research and Co... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 1 7 have a way in.\"\\n\\nA slight nod was Alex's im...\n", + " 2 8 ences the full spectrum of human curiosity and...\n", + " 3 6 cribed not in the dust of desert confines, but...},\n", + " 'token_ct': 11385},\n", + " 'id': 62},\n", + " {'query': \"How does the Dulce Military Base's location and environment impact the operation?\",\n", + " 'answer': \"# Impact of Dulce Military Base's Location and Environment on Operations\\n\\n## Strategic Location and Secrecy\\n\\nDulce Military Base is situated in New Mexico, a location that offers significant strategic advantages for the Paranormal Military Squad's operations. The remote and isolated environment of New Mexico provides a natural barrier against unauthorized access and prying eyes, ensuring that the highly classified activities conducted at the base remain concealed from the public and potential adversaries. This seclusion is crucial for maintaining the secrecy of the base's operations, which include extraterrestrial communication and research [Data: Reports (2)].\\n\\n## Environmental Challenges\\n\\nThe harsh desert environment of New Mexico presents both challenges and advantages for the operations at Dulce Base. The extreme temperatures and arid conditions can be taxing on both personnel and equipment, requiring specialized training and robust infrastructure to ensure operational efficiency. However, these same conditions also serve as a deterrent to intruders and reduce the likelihood of accidental discovery by civilians [Data: Reports (2)].\\n\\n## Technological and Logistical Considerations\\n\\nThe remote location necessitates advanced logistical planning to ensure the continuous supply of essential resources such as food, water, and medical supplies. Additionally, the base must be equipped with state-of-the-art technology to facilitate the decryption of alien signals and maintain communication with extraterrestrial intelligence. The isolation also means that the base must be largely self-sufficient, with its own power generation and waste management systems [Data: Reports (2)].\\n\\n## Psychological Impact on Personnel\\n\\nThe isolation and secrecy of Dulce Base can have significant psychological effects on the personnel stationed there. The lack of social interaction with the outside world and the high-stakes nature of their work can lead to increased stress and mental fatigue. It is essential for the base to have measures in place to support the mental well-being of its staff, including regular psychological evaluations and access to mental health resources [Data: Reports (2)].\\n\\n## Conclusion\\n\\nIn summary, the location and environment of Dulce Military Base play a critical role in shaping its operations. While the remote and harsh conditions provide a secure and controlled setting for conducting sensitive extraterrestrial research, they also pose logistical and psychological challenges that must be carefully managed to ensure the success of the base's mission.\\n\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 2 Dulce Base: Extraterrestrial Research and Comm... \n", + " \n", + " content \n", + " 0 # Dulce Base: Extraterrestrial Research and Co... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 4 were at once coherent and enigmatic: \"*Voyage...\n", + " 1 7 have a way in.\"\\n\\nA slight nod was Alex's im...\n", + " 2 2 . \"Your take on these signal inconsistencies?\"...\n", + " 3 3 , absorbed in the bewilderment of contact, whi...},\n", + " 'token_ct': 11838},\n", + " 'id': 63},\n", + " {'query': 'What are the long-term implications for national security if Operation: Dulce is successful?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 64},\n", + " {'query': 'How does the Paranormal Military Squad prepare for the psychological challenges of the mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 65},\n", + " {'query': \"How does Alex Mercer's leadership style differ from that of Taylor Cruz?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 66},\n", + " {'query': 'What are some challenges Alex Mercer faces in his role within the team?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 67},\n", + " {'query': \"How does Alex Mercer's diplomatic approach influence the team's interactions with extraterrestrial intelligence?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 68},\n", + " {'query': 'Can you provide more details on the relationship dynamics between Alex Mercer and Dr. Jordan Hayes?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 69},\n", + " {'query': 'What specific missions has Alex Mercer led within the Paranormal Military Squad?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 70},\n", + " {'query': \"How does Alex Mercer's leadership style compare to that of Taylor Cruz?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 71},\n", + " {'query': 'What are the key challenges Alex Mercer faces in his role?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 72},\n", + " {'query': \"How has Alex Mercer's background prepared him for his role in the Paranormal Military Squad?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 73},\n", + " {'query': \"What are the implications of Alex Mercer's suspected involvement in first contact with extraterrestrial beings?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 74},\n", + " {'query': 'What specific challenges has Alex Mercer faced in his diplomatic efforts with extraterrestrial beings?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 75},\n", + " {'query': \"How do other team members perceive Alex Mercer's leadership and diplomatic strategies?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 76},\n", + " {'query': \"What role does technology play in enhancing Alex Mercer's diplomatic efforts?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 77},\n", + " {'query': 'Can you provide examples of successful communications or breakthroughs achieved by Alex Mercer and his team?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 78},\n", + " {'query': \"How does Alex Mercer's approach compare to other known strategies for interstellar communication?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 79},\n", + " {'query': 'What specific missions has Alex Mercer been involved in with the Paranormal Military Squad?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 80},\n", + " {'query': \"How does Alex Mercer's military background influence his approach to extraterrestrial communication?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 81},\n", + " {'query': 'What are some of the psychological challenges Alex Mercer faces in his role?',\n", + " 'answer': \"# Psychological Challenges Faced by Alex Mercer in His Role\\n\\n## The Weight of Command\\n\\nAlex Mercer, a key figure in the Paranormal Military Squad at Dulce Base, faces significant psychological challenges stemming from his leadership role. As the team leader, Mercer is responsible for making critical decisions that could have far-reaching consequences. This immense responsibility weighs heavily on him, as evidenced by his contemplative demeanor and the pressure to balance the safety of his team with the mission's objectives [Data: Sources (3, 8)]. The need to maintain a calm and authoritative presence while navigating the unknown adds to his mental burden.\\n\\n## Navigating Uncertainty and Risk\\n\\nMercer is constantly confronted with the uncertainty and potential dangers of extraterrestrial communication. The enigmatic nature of the signals and the possibility of encountering hostile entities create a backdrop of perpetual risk. This uncertainty requires Mercer to remain vigilant and adaptable, often making decisions with incomplete information. The psychological strain of operating under such conditions is palpable, as he must weigh the potential benefits of contact against the risks of catastrophic outcomes [Data: Sources (3, 8)].\\n\\n## Balancing Team Dynamics\\n\\nAnother significant challenge for Mercer is managing the diverse personalities and expertise within his team. The team includes individuals like Taylor Cruz, who brings a cautious and pragmatic approach, and Sam Rivera, whose optimism and technical prowess drive the mission forward. Balancing these differing perspectives and maintaining team cohesion is a delicate task that requires Mercer to be both a leader and a mediator. The psychological toll of ensuring that each team member's strengths are utilized while mitigating conflicts is considerable [Data: Reports (5); Sources (3, 8)].\\n\\n## The Burden of Potential Failure\\n\\nThe potential for failure and its implications for humanity add another layer of psychological stress for Mercer. The mission's success could redefine humanity's understanding of the universe, while failure could result in dire consequences. This high-stakes environment means that every decision Mercer makes is fraught with the possibility of failure, which can be mentally exhausting. The pressure to succeed not only for the mission but for the broader implications for humanity is a constant source of stress [Data: Sources (3, 8)].\\n\\n## Coping with Isolation and Secrecy\\n\\nOperating within the confines of Dulce Base, Mercer and his team are isolated from the outside world, working in a highly secretive environment. This isolation can lead to feelings of loneliness and detachment, further exacerbating the psychological challenges he faces. The need to keep the mission's details confidential adds another layer of stress, as Mercer must navigate the complexities of secrecy while maintaining his team's morale and focus [Data: Sources (3, 8)].\\n\\nIn summary, Alex Mercer faces a multitude of psychological challenges in his role, including the weight of command, navigating uncertainty and risk, balancing team dynamics, the burden of potential failure, and coping with isolation and secrecy. These factors combine to create a highly stressful and demanding environment that tests Mercer's mental resilience and leadership abilities.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 5 Sam Rivera and the Paranormal Military Squad a... \n", + " \n", + " content \n", + " 0 # Sam Rivera and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 8 ences the full spectrum of human curiosity and...\n", + " 2 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 3 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...},\n", + " 'token_ct': 11914},\n", + " 'id': 82},\n", + " {'query': \"How do Alex Mercer's colleagues perceive his contributions to the team?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 83},\n", + " {'query': 'What training did Alex Mercer undergo to prepare for his role in the Paranormal Military Squad?',\n", + " 'answer': 'The available data does not provide specific details about the training that Alex Mercer underwent to prepare for his role in the Paranormal Military Squad. However, it is evident from the context that his role involves a high level of expertise in analyzing paranormal activities and managing the operational aspects of the command center [Data: Reports (0)]. His ability to lead and make strategic decisions in high-stress situations, as well as his involvement in deciphering alien codes and interpreting extraterrestrial patterns, suggests that he likely received extensive training in both military and scientific disciplines [Data: Sources (5, 9, 11)]. Additionally, his interactions with team members and his leadership qualities indicate a background that includes psychological training to handle the complexities of interspecies communication and the psychological pressures of first contact scenarios [Data: Sources (5, 9, 11)].',\n", + " 'score': 60,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 0 Dulce Base and the Paranormal Military Squad Team \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 1 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 2 3 , absorbed in the bewilderment of contact, whi...\n", + " 3 9 ; we are the threads that may weave a new cosm...\n", + " 4 11 , the sentinel within them ever alert.\\n\\nAlex...},\n", + " 'token_ct': 12265},\n", + " 'id': 84},\n", + " {'query': 'What specific roles do Taylor Cruz and Dr. Jordan Hayes play in the Paranormal Military Squad?',\n", + " 'answer': \"### Taylor Cruz's Role in the Paranormal Military Squad\\n\\nTaylor Cruz is a commanding figure within the Paranormal Military Squad, known for their cautious and strategic approach to the mission. Cruz's role involves providing pragmatic oversight and exercising skepticism, particularly during the interstellar communication process [Data: Reports (4)]. Their interactions with other team members, such as Dr. Jordan Hayes and Sam Rivera, reflect a balance of authority and collaboration, which is crucial for the success of the squad's objectives [Data: Reports (4)]. Cruz's leadership style is characterized by a focus on maintaining protocol and ensuring the team's actions are measured and deliberate [Data: Sources (0, 8, 9)]. This approach is evident in their insistence on adhering to established procedures and their emphasis on the potential risks associated with alien contact [Data: Sources (0, 8, 9)].\\n\\n### Dr. Jordan Hayes' Role in the Paranormal Military Squad\\n\\nDr. Jordan Hayes is a central figure in the Paranormal Military Squad, leading the efforts in decrypting and interpreting alien signals. Hayes' analytical and skeptical nature contributes to the methodical approach taken by the squad in their communication efforts [Data: Reports (4)]. Their expertise in alien signal decryption and analysis is critical to the squad's mission, as they work closely with other team members, including Alex Mercer, to ensure accurate interpretation of extraterrestrial messages [Data: Reports (4)]. Hayes' role is not just technical but also involves a deep understanding of the implications of their findings, often balancing scientific curiosity with the need for caution [Data: Sources (8, 9)]. Their ability to remain focused and methodical under pressure is a key asset to the team, particularly in high-stakes situations where the accuracy of their work could have profound consequences [Data: Sources (8, 9)].\\n\\n### Commentary\\n\\nBoth Taylor Cruz and Dr. Jordan Hayes play pivotal roles in the Paranormal Military Squad, each bringing a unique set of skills and perspectives that are essential to the team's success. Cruz's strategic leadership and emphasis on protocol provide a stable framework within which the team operates, while Hayes' analytical expertise and methodical approach ensure that the team's efforts in interstellar communication are grounded in scientific rigor. Together, they exemplify the balance of authority and collaboration that is crucial for navigating the complexities of extraterrestrial engagement.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 8 ences the full spectrum of human curiosity and...\n", + " 1 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 2 0 # Operation: Dulce\\n\\n## Chapter 1\\n\\nThe thru...\n", + " 3 9 ; we are the threads that may weave a new cosm...},\n", + " 'token_ct': 12022},\n", + " 'id': 85},\n", + " {'query': 'Can you provide more examples of critical decisions made by Alex Mercer during the mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 86},\n", + " {'query': 'What are some challenges faced by the team at Dulce Base, and how do they address them?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 87},\n", + " {'query': 'How do the personal backgrounds of Alex Mercer, Taylor Cruz, and Dr. Jordan Hayes influence their approach to the mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 88},\n", + " {'query': 'What specific challenges has Alex Mercer faced in his leadership role?',\n", + " 'answer': \"# Challenges Faced by Alex Mercer in His Leadership Role\\n\\n## Balancing Optimism and Caution\\n\\nOne of the primary challenges Alex Mercer faces in his leadership role is balancing the optimism and enthusiasm of his team members, particularly Sam Rivera, with the necessary caution and pragmatism required for their mission. Sam's optimism and technical expertise are crucial for the team's efforts to interpret and respond to extraterrestrial signals, but Alex must ensure that this enthusiasm does not lead to reckless decisions [Data: Reports (5); Sources (3)]. Taylor Cruz often provides a counterbalance to Sam's optimism with a more cautious approach, and Alex's role involves mediating between these differing perspectives to maintain a balanced and effective team dynamic [Data: Reports (5); Sources (3)].\\n\\n## Managing Team Dynamics and Conflicts\\n\\nAlex also faces the challenge of managing the diverse personalities and expertise within his team. For instance, Taylor Cruz's pragmatic and sometimes skeptical nature can clash with the more optimistic and curious outlooks of team members like Sam Rivera and Jordan Hayes. Alex must navigate these interpersonal dynamics to ensure that the team remains cohesive and focused on their mission [Data: Reports (5); Sources (3, 8)]. This involves not only resolving conflicts but also leveraging the unique strengths of each team member to achieve their collective goals.\\n\\n## High-Stakes Decision Making\\n\\nThe nature of their mission at Dulce Base involves high-stakes decision-making, where the consequences of their actions could have far-reaching implications for humanity. Alex must weigh the potential risks and benefits of their actions, such as interpreting alien signals and deciding how to respond. This requires a deep understanding of both the technical aspects of their work and the broader implications of their discoveries [Data: Reports (5); Sources (3, 8)].\\n\\n## Navigating Uncertainty and the Unknown\\n\\nAnother significant challenge is navigating the uncertainty and unknown elements of their mission. The team is dealing with extraterrestrial signals and technology that are beyond current human understanding, which means that Alex must lead his team through uncharted territory. This involves maintaining morale and a sense of purpose despite the inherent uncertainties and potential dangers of their work [Data: Reports (5); Sources (3, 8)].\\n\\n## Ensuring Operational Security and Success\\n\\nFinally, Alex must ensure the operational security and success of their mission at Dulce Base. This includes managing the logistical and strategic aspects of their operations, such as maintaining the functionality of their equipment, securing their communications, and coordinating with higher authorities. The pressure to succeed in such a high-profile and sensitive mission adds an additional layer of complexity to his leadership role [Data: Reports (5); Sources (3, 8)].\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 5 Sam Rivera and the Paranormal Military Squad a... \n", + " \n", + " content \n", + " 0 # Sam Rivera and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 8 ences the full spectrum of human curiosity and...\n", + " 2 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 3 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...},\n", + " 'token_ct': 11852},\n", + " 'id': 89},\n", + " {'query': 'How do the interactions between Taylor Cruz and Dr. Jordan Hayes influence team morale?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 90},\n", + " {'query': 'What are some examples of successful missions led by Alex Mercer?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 91},\n", + " {'query': \"How does Sam Rivera contribute to the team's overall objectives?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 92},\n", + " {'query': \"What are the long-term goals of the Paranormal Military Squad under Alex Mercer's leadership?\",\n", + " 'answer': \"# Long-Term Goals of the Paranormal Military Squad Under Alex Mercer's Leadership\\n\\n## Establishing Interstellar Communication\\n\\nOne of the primary long-term goals of the Paranormal Military Squad (PMS) under Alex Mercer's leadership is to establish and maintain interstellar communication with extraterrestrial intelligence. Dulce Base serves as the central hub for these operations, facilitating the exchange of information and technological advancements necessary for this mission [Data: Reports (4)]. Mercer's leadership is characterized by a diplomatic approach, aiming to understand and engage with alien intelligence rather than confront it [Data: Sources (5)].\\n\\n## Decrypting and Analyzing Alien Signals\\n\\nAnother significant goal is the decryption and analysis of alien signals. Dr. Jordan Hayes, a key figure in the squad, leads these efforts, working closely with Mercer. The team focuses on understanding the complexities of extraterrestrial messages, which could reveal thought patterns and behavioral algorithms of alien civilizations [Data: Reports (4); Sources (5)]. This analytical approach is crucial for the squad's mission to ensure accurate and meaningful communication.\\n\\n## Diplomatic Engagement and Strategic Planning\\n\\nMercer emphasizes a diplomatic approach to potential extraterrestrial contact. This involves strategic planning and collaboration with other team members, such as Taylor Cruz and Dr. Jordan Hayes. The goal is to foster a cooperative relationship with alien intelligence, which could lead to unprecedented advancements in technology and knowledge [Data: Reports (4); Sources (5)]. Mercer's leadership aims to balance caution with curiosity, ensuring that the squad is prepared for both peaceful and potentially hostile encounters.\\n\\n## Advancing Human Knowledge and Technology\\n\\nThe squad's activities are not just about communication but also about advancing human knowledge and technology. By engaging with extraterrestrial intelligence, the squad hopes to unlock new scientific discoveries and technological innovations that could benefit humanity as a whole. This goal underscores the high impact and significance of their mission [Data: Reports (4); Sources (5)].\\n\\n## Ensuring Humanity's Place in the Universe\\n\\nUltimately, the long-term goal of the Paranormal Military Squad under Alex Mercer's leadership is to secure humanity's place in the universe. This involves not only making first contact with extraterrestrial beings but also understanding their intentions and capabilities. The squad's efforts could potentially alter humanity's understanding of the universe and its place within it, marking a new era of interstellar diplomacy and cooperation [Data: Reports (4); Sources (5)].\\n\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 1 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 2 9 ; we are the threads that may weave a new cosm...\n", + " 3 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 4 8 ences the full spectrum of human curiosity and...},\n", + " 'token_ct': 12662},\n", + " 'id': 93},\n", + " {'query': 'What specific methods does Agent Mercer use to analyze extraterrestrial communication signals?',\n", + " 'answer': 'Agent Alex Mercer employs a variety of methods to analyze extraterrestrial communication signals, focusing on both technical and strategic aspects. His approach is characterized by a blend of meticulous technical analysis and a broader strategic vision, ensuring that the team remains aligned with their overarching mission goals. Below are the key methods used by Agent Mercer in this context: \\n\\n### Technical Analysis and Decryption\\n\\nMercer is deeply involved in the technical analysis and decryption of alien signals. He works closely with Dr. Jordan Hayes, who is responsible for the hands-on decryption process. Mercer monitors the progression of alien code and provides guidance to ensure the decryption process is steady and precise. This is evident when he instructs Jordan to keep the process steady, emphasizing the importance of finesse in potentially initiating the first true interspecies communication bridge [Data: Sources (6)]. \\n\\n### Strategic Oversight and Coordination\\n\\nMercer’s role extends beyond technical analysis to include strategic oversight and coordination. He ensures that the team’s efforts are harmonized and that their responses are measured and thoughtful. For instance, he emphasizes the need for a balanced strategy for contact, recognizing the delicate nature of their work and the potential implications of their interactions with extraterrestrial intelligence [Data: Sources (6)]. \\n\\n### Collaborative Problem-Solving\\n\\nMercer fosters a collaborative environment where each team member’s expertise is leveraged to solve complex problems. He values the input of his team members, such as when he acknowledges the importance of Jordan Hayes’s analytical edge and Sam Rivera’s technological acumen. This collaborative approach is crucial in navigating the complexities of extraterrestrial communication [Data: Sources (6)]. \\n\\n### Pragmatic Caution\\n\\nMercer is also pragmatic and cautious in his approach. He understands the potential risks associated with extraterrestrial engagement and ensures that the team remains vigilant. This is highlighted when he advises the team to keep communication channels open but to let no message or pulse go unchecked, recognizing the fine line between breakthrough and disaster [Data: Sources (6)]. \\n\\n### Emotional Intelligence and Leadership\\n\\nMercer’s leadership is marked by his emotional intelligence and ability to inspire trust and confidence in his team. He balances urgency with respect, as seen when he communicates with Jordan Hayes during critical moments of the decryption process. His ability to maintain composure and provide clear, respectful guidance is a key aspect of his leadership style [Data: Sources (6)]. \\n\\nIn summary, Agent Alex Mercer’s methods for analyzing extraterrestrial communication signals are multifaceted, combining technical expertise, strategic oversight, collaborative problem-solving, pragmatic caution, and strong leadership. These methods ensure that the team can effectively navigate the complexities of their mission and make meaningful progress in their efforts to understand and engage with extraterrestrial intelligence.',\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 2 Dulce Base: Extraterrestrial Research and Comm... \n", + " \n", + " content \n", + " 0 # Dulce Base: Extraterrestrial Research and Co... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 6 cribed not in the dust of desert confines, but...\n", + " 1 0 # Operation: Dulce\\n\\n## Chapter 1\\n\\nThe thru...\n", + " 2 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 3 6 cribed not in the dust of desert confines, but...\n", + " 4 8 ences the full spectrum of human curiosity and...},\n", + " 'token_ct': 12566},\n", + " 'id': 94},\n", + " {'query': \"How has Agent Mercer's analysis impacted the overall mission of the Paranormal Military Squad Team?\",\n", + " 'answer': \"Agent Alex Mercer plays a crucial role in the Paranormal Military Squad Team at Dulce Base, significantly impacting the mission through his multifaceted analysis and operational expertise. His involvement is not limited to the technical aspects of the mission but extends to the psychological and strategic dimensions as well. Mercer's steady presence and analytical skills are vital in deciphering alien codes and understanding extraterrestrial patterns, which are central to the team's objectives [Data: Reports (0); Sources (9)].\\n\\n### Analytical Contributions\\n\\nMercer's analytical contributions are evident in his interactions with Dr. Jordan Hayes and other team members. For instance, his steady voice and controlled presence during critical moments help maintain focus and drive progress in decoding alien signals. His ability to recognize the complexity of the alien society from the decrypted codes underscores his analytical prowess [Data: Sources (9)]. This insight is crucial for predicting extraterrestrial behavior and preparing for potential contact scenarios, thereby shaping the team's strategic approach [Data: Reports (0)].\\n\\n### Psychological and Strategic Impact\\n\\nMercer's role also encompasses the psychological aspects of the mission. His discussions about intuition and trust reveal the depth of his involvement and the psychological complexities of the mission. By fostering a collaborative environment, Mercer helps the team navigate the uncertainties and risks associated with their work. His shared concerns with colleagues about the larger implications of their mission highlight his strategic thinking and his ability to foresee potential challenges [Data: Reports (0); Sources (9)].\\n\\n### Operational Leadership\\n\\nIn addition to his analytical and psychological contributions, Mercer demonstrates strong operational leadership. His compliance in the briefing room and his ability to guide the team through complex scenarios are indicative of his integral role in the mission. Mercer's observation of the first contact event and his subsequent actions underscore his critical position within the team, ensuring that the mission progresses smoothly and effectively [Data: Reports (0); Sources (9)].\\n\\nOverall, Agent Alex Mercer's analysis and leadership have significantly impacted the Paranormal Military Squad Team's mission, driving their efforts to decipher alien codes, understand extraterrestrial patterns, and prepare for potential contact scenarios. His multifaceted role ensures that the team remains focused, collaborative, and strategically prepared for the challenges ahead.\\n\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 0 Dulce Base and the Paranormal Military Squad Team \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 9 ; we are the threads that may weave a new cosm...\n", + " 1 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 2 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 3 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 4 5 the universe.\\n\\nIn a symphony of clicks and ...},\n", + " 'token_ct': 12541},\n", + " 'id': 95},\n", + " {'query': 'Can you provide more details on the first contact event observed by Agent Mercer?',\n", + " 'answer': \"# First Contact Event Observed by Agent Mercer\\n\\n## Overview\\n\\nAgent Alex Mercer played a pivotal role in the first contact event observed by the Paranormal Military Squad Team at Dulce Base. This event marked a significant milestone in humanity's efforts to communicate with extraterrestrial intelligence. The team's mission evolved from mere observation to active engagement, with Mercer being a central figure in this historic moment [Data: Reports (0)].\\n\\n## The Event\\n\\nThe first contact event unfolded in the underground command center of Dulce Base, where the team was engaged in deciphering alien signals. The atmosphere was tense, with the team working under the stark, unforgiving lights of the command center. Agent Mercer leaned over Dr. Jordan Hayes' shoulder, closely monitoring the incomprehensible series of alien symbols streaming past on the display screen [Data: Sources (9)].\\n\\nAs the team made progress in decrypting the alien code, they discovered indications of a complex society, not unlike our own. This revelation was met with a mix of excitement and apprehension, as the team realized the gravity of their undertaking. Taylor Cruz emphasized the importance of understanding the alien society to predict their behavior, while Sam Rivera worked on a device that could potentially establish a direct line to the aliens' thoughts [Data: Sources (9)].\\n\\n## Breakthrough\\n\\nThe breakthrough came when the machinery in the command center responded to Sam Rivera's precise touches, filling the room with a low hum. This indicated that a signal had been successfully sent, and the team held their breath as they listened. The sound that filled the room was unmistakable: a response, an alien voice filtered through the static of space and time. This marked the beginning of a dialogue, a monumental achievement for the team [Data: Sources (9)].\\n\\n## Agent Mercer's Role\\n\\nAgent Mercer's role in this event was multifaceted. He was deeply involved in the analysis of paranormal activities and the operational aspects of the command center. His steady presence and controlled demeanor were crucial in maintaining the team's focus during this critical moment. Mercer's shared concerns with his colleagues about the larger implications of their work and his observation of the first contact event underscored his critical position within the team [Data: Reports (0); Sources (9)].\\n\\n## Conclusion\\n\\nThe first contact event observed by Agent Mercer and the Paranormal Military Squad Team at Dulce Base was a historic milestone in human-alien relations. The team's efforts in deciphering alien signals and establishing a dialogue with extraterrestrial intelligence highlighted the significance of their mission. Agent Mercer's integral involvement and steady leadership were key factors in the success of this groundbreaking event.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 0 Dulce Base and the Paranormal Military Squad Team \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 9 ; we are the threads that may weave a new cosm...\n", + " 1 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 2 0 # Operation: Dulce\\n\\n## Chapter 1\\n\\nThe thru...\n", + " 3 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 4 7 have a way in.\"\\n\\nA slight nod was Alex's im...},\n", + " 'token_ct': 10760},\n", + " 'id': 96},\n", + " {'query': 'What are the psychological challenges faced by Agent Mercer and his team during their mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 97},\n", + " {'query': 'How does Agent Mercer collaborate with other team members like Dr. Jordan Hayes in his analyses?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 98},\n", + " {'query': 'What specific challenges has Alex Mercer faced in his role as a mentor?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 99},\n", + " {'query': \"How do other team members perceive Alex Mercer's mentorship style?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 100},\n", + " {'query': \"Can you provide examples of how Mercer's mentorship has directly influenced mission outcomes?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 101},\n", + " {'query': \"How does Mercer's mentorship style compare to that of other leaders within the Paranormal Military Squad?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 102},\n", + " {'query': \"What are the long-term impacts of Mercer's mentorship on the career development of team members like Sam Rivera?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 103},\n", + " {'query': 'What specific events or interactions highlight the tension between Alex Mercer and Taylor Cruz?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 104},\n", + " {'query': \"How does Sam Rivera's role evolve throughout the mission, and what impact does Alex Mercer have on this evolution?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 105},\n", + " {'query': 'What are some key moments of collaboration between Alex Mercer and Dr. Jordan Hayes?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 106},\n", + " {'query': 'How do the personal backgrounds of Alex Mercer and the other key personnel influence their relationships?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 107},\n", + " {'query': 'What are the broader implications of the relationships within the Paranormal Military Squad for the success of their mission?',\n", + " 'answer': \"# Broader Implications of Relationships within the Paranormal Military Squad for Mission Success\\n\\n## Introduction\\n\\nThe relationships within the Paranormal Military Squad at Dulce Base are crucial for the success of their mission, which involves analyzing extraterrestrial patterns and preparing for potential first contact scenarios. The dynamics among team members such as Dr. Jordan Hayes, Agent Alex Mercer, Sam Rivera, and Taylor Cruz play a significant role in their ability to collaborate effectively and achieve their objectives.\\n\\n## Collaboration and Team Dynamics\\n\\nThe collaboration between Dr. Jordan Hayes and Agent Alex Mercer is particularly noteworthy. Dr. Hayes is instrumental in deciphering alien codes and interpreting extraterrestrial patterns, while Agent Mercer handles the operational aspects and analysis of paranormal activities [Data: Reports (0)]. Their combined expertise allows the team to approach their mission from both scientific and operational perspectives, ensuring a comprehensive strategy [Data: Sources (3, 8, 10)].\\n\\nSam Rivera and Taylor Cruz also contribute significantly to the team's efforts. Sam's technical skills in adapting communication systems to decode alien signals are vital for the team's ability to understand and respond to extraterrestrial messages [Data: Sources (3)]. Taylor Cruz, on the other hand, provides a pragmatic approach, ensuring that the team remains grounded and focused on actionable strategies [Data: Sources (3, 10)]. The interplay between Sam's youthful exuberance and Taylor's seasoned caution creates a balanced dynamic that enhances the team's overall effectiveness.\\n\\n## Trust and Psychological Complexities\\n\\nTrust and psychological complexities are also critical factors in the team's success. Agent Mercer's discussions about intuition and trust reveal the depth of his involvement and the psychological challenges the team faces [Data: Reports (0)]. The shared concerns among team members about the larger implications of their work highlight the importance of mutual trust and understanding in navigating the uncertainties of their mission [Data: Sources (3, 10)].\\n\\n## Impact on Mission Outcomes\\n\\nThe relationships within the Paranormal Military Squad directly impact their ability to manage extraterrestrial contact scenarios. The team's collective effort in deciphering alien codes and preparing for first contact is essential for predicting extraterrestrial intentions and actions [Data: Reports (0)]. The collaboration and trust among team members enable them to respond effectively to evolving alien signals and potential threats, thereby increasing the likelihood of mission success [Data: Sources (3, 10)].\\n\\n## Conclusion\\n\\nIn summary, the relationships within the Paranormal Military Squad are fundamental to the success of their mission. The collaboration between team members, the balance of technical and pragmatic approaches, and the mutual trust and understanding they share all contribute to their ability to navigate the complexities of extraterrestrial communication and potential first contact scenarios. These dynamics underscore the importance of strong interpersonal relationships in achieving mission objectives in high-stakes, uncertain environments.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 0 Dulce Base and the Paranormal Military Squad Team \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 10 every transmission,\" Jordan Hayes murmured, t...\n", + " 2 8 ences the full spectrum of human curiosity and...\n", + " 3 9 ; we are the threads that may weave a new cosm...},\n", + " 'token_ct': 12034},\n", + " 'id': 108},\n", + " {'query': 'What specific challenges did each team member face during Operation: Dulce?',\n", + " 'answer': \"### Challenges Faced by Each Team Member During Operation: Dulce\\n\\n#### Alex Mercer\\nAlex Mercer, the leader of the Paranormal Military Squad, faced the challenge of maintaining his team's morale and focus amidst the ominous atmosphere of the Dulce Military Base. His leadership was tested by the need to balance strict military protocols with the flexibility required to handle the unpredictable nature of their mission. Alex's internal struggle was evident as he grappled with the unknown elements of the base and the mission's broader implications for humanity [Data: Reports (3); Sources (2, 4)].\\n\\n#### Sam Rivera\\nSam Rivera, the team's communication expert, dealt with the pressure of deciphering alien signals and ensuring effective communication within the team. Sam's role was critical, as any misinterpretation of the signals could jeopardize the mission. The weight of expectation and the trust placed in him by Alex added to his stress, making his task even more daunting [Data: Reports (3); Sources (2, 4)].\\n\\n#### Taylor Cruz\\nTaylor Cruz faced the challenge of maintaining operational discipline and readiness. His authoritative demeanor often clashed with the need for flexibility in the face of the unknown. Taylor's struggle was to keep the team focused and moving forward, despite the eerie and unsettling environment of the base. His rigid adherence to protocol sometimes conflicted with the need for adaptive thinking [Data: Reports (3); Sources (2, 4)].\\n\\n#### Jordan Hayes\\nJordan Hayes, the team's analytical mind, faced the challenge of interpreting and understanding the alien technology and signals they encountered. The psychological toll of the base's atmosphere and the pressure to provide accurate and actionable insights weighed heavily on Jordan. Their role required a balance of skepticism and open-mindedness, which was crucial for the mission's success [Data: Reports (3); Sources (2, 4)].\\n\\n### Conclusion\\nEach team member of Operation: Dulce faced unique challenges that tested their skills, resilience, and ability to work together under extreme conditions. Their collective efforts and the obstacles they overcame highlight the complexity and high stakes of their mission.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 3 Operation: Dulce and the Paranormal Military S... \n", + " \n", + " content \n", + " 0 # Operation: Dulce and the Paranormal Military... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 2 . \"Your take on these signal inconsistencies?\"...\n", + " 1 2 . \"Your take on these signal inconsistencies?\"...\n", + " 2 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...\n", + " 3 4 were at once coherent and enigmatic: \"*Voyage...},\n", + " 'token_ct': 11778},\n", + " 'id': 109},\n", + " {'query': \"How did the team members' backgrounds and expertise influence their roles in the mission?\",\n", + " 'answer': \"# Influence of Team Members' Backgrounds and Expertise on Their Roles in the Mission\\n\\n## Sam Rivera: The Cybersecurity Expert\\n\\nSam Rivera's background as a cybersecurity expert is pivotal to the mission at Dulce Base. Their technical expertise in deciphering and establishing communication with extraterrestrial signals is crucial. Sam's role involves adapting gear to transmute foreign signals into something the team can dissect, showcasing their ability to bridge human and alien systems [Data: Reports (5); Sources (3)]. Their optimism and enthusiasm for first contact with extraterrestrial beings drive the team's efforts forward, making them a central figure in the mission [Data: Reports (5); Sources (3)].\\n\\n## Taylor Cruz: The Cautious Leader\\n\\nTaylor Cruz provides a counterbalance to Sam's optimism with a cautious and practical approach. Their background likely includes leadership and strategic decision-making, which is evident in their role as a commanding figure who ensures that the team remains grounded and focused on facts rather than conjecture [Data: Reports (5); Sources (3)]. Taylor's ability to weigh the worth of anomalies and their insistence on documenting every detail highlight their disciplined and methodical nature [Data: Sources (3)].\\n\\n## Alex Mercer: The Mentor and Military Strategist\\n\\nAlex Mercer's prior military experience and resolve make him a mentor to Sam Rivera and a guiding force for the team. His background in military strategy allows him to absorb and evaluate hypotheses with a critical eye, ensuring that the team remains focused on their mission's objectives [Data: Reports (5); Sources (3)]. Alex's ability to connect the dots and understand the broader implications of their discoveries positions him as a key figure in interpreting the alien messages and determining the team's course of action [Data: Sources (3)].\\n\\n## Dr. Jordan Hayes: The Scientific Analyst\\n\\nDr. Jordan Hayes' scientific background is crucial for analyzing and interpreting the extraterrestrial signals. Their expertise in aligning satellite data with alien messages and understanding the celestial mechanics behind the signal disruptions showcases their analytical skills [Data: Reports (5); Sources (3)]. Jordan's ability to decipher the coordinates and warnings in the alien messages highlights their role as the team's scientific analyst, providing critical insights that guide the mission [Data: Sources (3)].\\n\\n## Conclusion\\n\\nThe diverse backgrounds and expertise of the team members at Dulce Base significantly influence their roles in the mission. Sam Rivera's technical skills, Taylor Cruz's cautious leadership, Alex Mercer's military strategy, and Dr. Jordan Hayes' scientific analysis all contribute to a well-rounded team capable of tackling the complexities of extraterrestrial communication and the potential implications for humanity.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 5 Sam Rivera and the Paranormal Military Squad a... \n", + " \n", + " content \n", + " 0 # Sam Rivera and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 3 , absorbed in the bewilderment of contact, whi...\n", + " 2 3 , absorbed in the bewilderment of contact, whi...\n", + " 3 3 , absorbed in the bewilderment of contact, whi...},\n", + " 'token_ct': 11843},\n", + " 'id': 110},\n", + " {'query': 'What were the key moments of collaboration or conflict among the team members?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 111},\n", + " {'query': \"How did the team's dynamics evolve throughout the mission?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 112},\n", + " {'query': 'What were the outcomes of the mission, and how did each team member contribute to these results?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 113},\n", + " {'query': 'What specific skills does Agent Mercer possess that make him an effective leader?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 114},\n", + " {'query': \"How does Agent Mercer's background and experience influence his approach to the mission?\",\n", + " 'answer': \"# Agent Mercer's Background and Experience: Influence on the Mission\\n\\n## Leadership and Strategic Planning\\n\\nAgent Alex Mercer is depicted as a leader within the Paranormal Military Squad, guiding the team in their mission to establish contact with alien intelligence. His leadership is characterized by a diplomatic approach to potential extraterrestrial contact and a focus on strategic planning [Data: Reports (4)]. Mercer's prior military resolve and experience in strategic operations are evident in his methodical and cautious approach to the mission. This is highlighted in his interactions with other team members, where he balances authority with collaboration, ensuring that the team's efforts are both coordinated and effective [Data: Sources (3, 8, 5)].\\n\\n## Diplomatic and Analytical Skills\\n\\nMercer's diplomatic skills are crucial in navigating the complexities of interstellar communication. His ability to absorb and analyze hypotheses, such as the synchronization of signal disruptions with zenithal star alignments, demonstrates his analytical prowess and openness to unconventional ideas [Data: Sources (3)]. This analytical mindset allows him to consider various possibilities and implications of the alien signals, ensuring that the team remains grounded while exploring new frontiers [Data: Sources (8)].\\n\\n## Collaboration and Team Dynamics\\n\\nMercer's leadership style fosters a collaborative environment within the team. His interactions with Dr. Jordan Hayes and Taylor Cruz reflect a mutual respect and reliance on each other's expertise. This collaborative dynamic is essential for the success of their mission, as it allows the team to leverage their diverse skills and perspectives [Data: Reports (4); Sources (3, 8)]. Mercer's ability to maintain a balance between authority and collaboration ensures that the team operates cohesively, even under the pressure of potentially groundbreaking discoveries [Data: Sources (5)].\\n\\n## Adaptability and Preparedness\\n\\nMercer's experience in military operations has instilled in him a sense of adaptability and preparedness. He understands the importance of being ready for any eventuality, whether it be a monumental breakthrough or an unprecedented catastrophe [Data: Sources (3)]. This preparedness is evident in his directive to document everything meticulously and to approach the mission with both caution and curiosity [Data: Sources (8)]. Mercer's adaptability allows him to pivot the team's objectives as new information emerges, ensuring that they remain responsive to the evolving nature of their mission [Data: Sources (5)].\\n\\n## Conclusion\\n\\nAgent Alex Mercer's background and experience significantly influence his approach to the mission. His leadership, diplomatic skills, collaborative mindset, and adaptability ensure that the Paranormal Military Squad is well-equipped to navigate the complexities of interstellar communication and potential extraterrestrial contact. Mercer's strategic and analytical approach, combined with his ability to foster a cohesive team dynamic, positions the squad for success in their groundbreaking mission.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 3 , absorbed in the bewilderment of contact, whi...\n", + " 2 8 ences the full spectrum of human curiosity and...\n", + " 3 5 the universe.\\n\\nIn a symphony of clicks and ...},\n", + " 'token_ct': 12102},\n", + " 'id': 115},\n", + " {'query': 'What are some specific challenges Mercer faces in his role, and how does he address them?',\n", + " 'answer': '### Specific Challenges Faced by Alex Mercer and His Responses to Them\\n\\n#### Navigating Uncertainty and Risk\\n\\nOne of the primary challenges Alex Mercer faces in his role with the Paranormal Military Squad at Dulce Base is navigating the uncertainty and risk associated with deciphering and responding to extraterrestrial signals. The team is often at a crossroads where their actions could lead to monumental breakthroughs or unprecedented catastrophes. For instance, when the team first establishes a line of communication with the extraterrestrial signals, Taylor Cruz orders, \"Once you\\'ve established a line, document everything. We can\\'t afford to miss any detail\" [Data: Sources (3)]. This highlights the high stakes and the need for meticulous documentation and analysis to avoid potential pitfalls.\\n\\n#### Balancing Optimism and Caution\\n\\nMercer also faces the challenge of balancing the team\\'s optimism with a necessary level of caution. While Sam Rivera\\'s enthusiasm drives the team\\'s efforts, Mercer\\'s role often involves tempering this optimism with practical considerations. For example, when Taylor Cruz expresses skepticism about the hypothesis that the signal disruptions sync with zenithal star alignments, Mercer defends the hypothesis by stating, \"This isn\\'t mysticism, Cruz. It\\'s a hypothesis based on observed phenomena as unpredictable as the place we\\'re standing in\" [Data: Sources (3)]. This shows Mercer\\'s ability to support innovative ideas while ensuring they are grounded in observable data.\\n\\n#### Ensuring Team Cohesion and Morale\\n\\nMaintaining team cohesion and morale is another significant challenge. The team members, including Jordan Hayes, Taylor Cruz, and Sam Rivera, bring diverse perspectives and expertise, which can sometimes lead to tension. Mercer addresses this by fostering a sense of shared purpose and mutual respect. For instance, when the team faces the daunting task of interpreting a warning from the extraterrestrial message, Mercer emphasizes the importance of understanding intent and keeping the team grounded: \"Mercer, I rely on you to keep the team grounded. No one goes off-course\" [Data: Sources (3)]. This underscores his role in maintaining focus and unity within the team.\\n\\n#### Adapting to Evolving Missions\\n\\nThe evolving nature of their mission presents another challenge. Initially, the team\\'s mandate is to observe and report, but it soon shifts to active engagement and preparation for potential contact. Mercer adapts to this change by encouraging a proactive approach. When the team receives a cryptic message that includes the words \"Voyage. Convergence. Peril,\" Mercer deduces, \"It’s a call to action,\" and emphasizes the need to understand the intent behind the message [Data: Sources (3)]. This adaptability is crucial for the team\\'s success in their unprecedented mission.\\n\\n#### Addressing Ethical and Existential Questions\\n\\nFinally, Mercer must address the ethical and existential questions that arise from their interactions with extraterrestrial intelligence. The implications of their discoveries could redefine humanity\\'s place in the cosmos, and Mercer recognizes the gravity of their role. He often reflects on the broader significance of their mission, as seen when he states, \"We’re not just decoding signals; we’re translating intentions\" [Data: Sources (8)]. This awareness helps guide the team\\'s actions and decisions, ensuring they approach their mission with the necessary depth and responsibility.\\n',\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 5 Sam Rivera and the Paranormal Military Squad a... \n", + " \n", + " content \n", + " 0 # Sam Rivera and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 3 , absorbed in the bewilderment of contact, whi...\n", + " 2 3 , absorbed in the bewilderment of contact, whi...\n", + " 3 8 ences the full spectrum of human curiosity and...},\n", + " 'token_ct': 11972},\n", + " 'id': 116},\n", + " {'query': \"How do other team members perceive Mercer's leadership and contributions?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 117},\n", + " {'query': 'Can you provide more details on the interactions between Mercer and other key team members during the mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 118},\n", + " {'query': 'What specific skills does Dr. Jordan Hayes bring to the Paranormal Military Squad?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 119},\n", + " {'query': \"How does Agent Mercer's leadership style influence the team's dynamics?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 120},\n", + " {'query': 'Can you provide more details on the specific alien signals that Dr. Jordan Hayes has decrypted?',\n", + " 'answer': \"Dr. Jordan Hayes has been deeply involved in the decryption of alien signals at Dulce Base, a highly classified facility in New Mexico. The base is central to the Paranormal Military Squad's operations, focusing on extraterrestrial communication and research [Data: Reports (2)].\\n\\n### The Nature of the Alien Signals\\n\\nThe alien signals intercepted and decrypted by Dr. Hayes are not merely random static but exhibit distinct patterns and sequences that suggest a high level of intelligence behind them. These signals have evolved over time, indicating that they are not just one-way communications but are responsive to the team's attempts at interaction [Data: Sources (4, 5, 8)]. For instance, Jordan noted that the signal was 'evolving' and 'responding to us,' which implies a form of advanced AI or an intelligent entity on the other end [Data: Sources (4)].\\n\\n### Decryption Process and Challenges\\n\\nThe decryption process is complex and requires a deep understanding of both human and potential alien cognitive patterns. Jordan has been working on isolating sequences that recur with more intention than static, suggesting that these could be 'handshakes' or initial attempts at establishing a dialogue [Data: Sources (8)]. The signals have been described as having a 'linguistic lock,' a test of comprehension that the team needs to solve to establish meaningful communication [Data: Sources (5)].\\n\\n### Implications of the Decrypted Signals\\n\\nThe decrypted signals have profound implications. They suggest that the extraterrestrial intelligence behind them is capable of complex thought processes, including recognition, learning, and possibly even empathy [Data: Sources (8)]. This opens up the possibility of a new kind of diplomacy and interstellar communication, where humanity could engage in a broader spectrum of cognizance with alien civilizations [Data: Sources (8)].\\n\\n### Team Dynamics and Responsibilities\\n\\nDr. Hayes works closely with other key personnel at Dulce Base, including Alex Mercer, Taylor Cruz, and Sam Rivera. Each member brings their expertise to the table, but it is Jordan's analytical skills and deep understanding of the signals that drive much of the decryption efforts. The team operates under the constant pressure of ensuring that their interactions with the alien signals are cautious and measured, as any misstep could have significant consequences [Data: Sources (4, 5, 8)].\\n\\nIn summary, Dr. Jordan Hayes has played a crucial role in decrypting alien signals at Dulce Base, revealing complex and responsive communications that could pave the way for unprecedented interstellar dialogue.\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 2 Dulce Base: Extraterrestrial Research and Comm... \n", + " \n", + " content \n", + " 0 # Dulce Base: Extraterrestrial Research and Co... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 4 were at once coherent and enigmatic: \"*Voyage...\n", + " 1 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 2 8 ences the full spectrum of human curiosity and...\n", + " 3 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...},\n", + " 'token_ct': 11894},\n", + " 'id': 121},\n", + " {'query': 'What are some of the challenges faced by the Paranormal Military Squad at Dulce Base?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 122},\n", + " {'query': 'How do other team members, such as Taylor Cruz and Sam Rivera, contribute to the mission?',\n", + " 'answer': \"# Contributions of Taylor Cruz and Sam Rivera to the Mission\\n\\n## Taylor Cruz's Strategic Leadership\\n\\nTaylor Cruz plays a pivotal role in the Paranormal Military Squad through their strategic leadership and cautious approach. Cruz is depicted as a commanding figure who provides pragmatic oversight and exercises skepticism, particularly during the interstellar communication process. Their interactions with other team members, such as Dr. Jordan Hayes and Sam Rivera, reflect a balance of authority and collaboration, which is crucial for the success of the squad's objectives [Data: Reports (4); Sources (3, 2)]. Cruz's ability to maintain discipline and focus within the team is evident in their insistence on documenting every detail and their emphasis on the importance of facts over conjecture [Data: Sources (3, 2)]. This disciplined approach ensures that the team remains grounded and methodical in their operations, reducing the risk of errors during critical moments.\\n\\n## Sam Rivera's Technical Expertise and Optimism\\n\\nSam Rivera contributes significantly to the mission through their technical expertise and optimistic outlook. Rivera is responsible for adapting the team's gear to transmute foreign signals into something the team can dissect, showcasing their technical skills and innovative thinking [Data: Sources (3)]. Their ability to bridge systems for communication is crucial in the team's efforts to decode and understand alien signals. Rivera's enthusiasm and willingness to take on challenges are highlighted in their interactions with other team members, particularly when they step forward to offer solutions during moments of uncertainty [Data: Sources (3, 2)]. This optimism and technical proficiency not only boost the team's morale but also drive the mission forward by enabling the team to make significant breakthroughs in their communication efforts.\\n\\n## Collaborative Dynamics\\n\\nThe collaborative dynamics between Taylor Cruz and Sam Rivera are essential to the mission's success. Cruz's strategic oversight and Rivera's technical ingenuity complement each other, creating a balanced approach to problem-solving. For instance, while Cruz ensures that the team remains focused and methodical, Rivera's innovative solutions and technical skills provide the necessary tools to achieve their objectives [Data: Reports (4); Sources (3, 2)]. This synergy between leadership and technical expertise allows the team to navigate the complexities of interstellar communication and potential extraterrestrial contact effectively.\\n\\n## Conclusion\\n\\nIn summary, Taylor Cruz and Sam Rivera play crucial roles in the Paranormal Military Squad's mission. Cruz's strategic leadership and disciplined approach ensure that the team remains focused and methodical, while Rivera's technical expertise and optimism drive the mission forward by enabling significant breakthroughs. Their collaborative dynamics create a balanced and effective team capable of navigating the complexities of their mission.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 2 . \"Your take on these signal inconsistencies?\"...\n", + " 2 3 , absorbed in the bewilderment of contact, whi...\n", + " 3 9 ; we are the threads that may weave a new cosm...},\n", + " 'token_ct': 12066},\n", + " 'id': 123},\n", + " {'query': 'What are the specific roles of other team members in the decryption process?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 124},\n", + " {'query': 'How does Agent Mercer’s background and experience influence his approach to extraterrestrial communication?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 125},\n", + " {'query': 'What are some of the challenges faced by the team in decrypting and understanding alien signals?',\n", + " 'answer': \"# Challenges in Decrypting and Understanding Alien Signals at Dulce Base\\n\\n## Complexity and Evolution of Alien Signals\\n\\nOne of the primary challenges faced by the team at Dulce Base is the complexity and evolving nature of the alien signals. The signals are not static; they adapt and change in response to the team's decryption efforts. Dr. Jordan Hayes notes that the patterns are evolving, suggesting that the alien intelligence is learning and adapting to their attempts at communication [Data: Sources (7, 8)]. This dynamic nature of the signals requires the team to continuously update and refine their decryption methods, making the process highly intricate and demanding.\\n\\n## Interpreting Alien Intentions\\n\\nAnother significant challenge is interpreting the intentions behind the alien signals. The team must decipher not only the literal content of the messages but also the underlying intentions and context. This is complicated by the fact that the signals may contain elements of alien cognition, recognition, learning, and even empathy [Data: Sources (8)]. Understanding these aspects is crucial for ensuring that the team's responses are appropriate and do not inadvertently provoke a negative reaction.\\n\\n## Ensuring Control and Security\\n\\nMaintaining control and security over the decryption process is a constant concern. As the signals evolve and potentially become more complex, there is a risk that the alien intelligence could outpace the team's understanding and control. Taylor Cruz emphasizes the importance of ensuring that the communication stream remains secured and monitored, highlighting the potential risks of losing control over the interaction [Data: Sources (7, 8)].\\n\\n## Balancing Caution and Curiosity\\n\\nThe team also faces the challenge of balancing caution with their scientific curiosity. While the potential for groundbreaking discoveries is immense, there is also a significant risk involved in engaging with an unknown and possibly superior intelligence. Taylor Cruz's cautionary stance reflects the need to tread carefully and consider the broader implications of their actions [Data: Sources (7, 8)].\\n\\n## Technical and Logistical Hurdles\\n\\nOn a more practical level, the team must navigate various technical and logistical hurdles. The decryption process involves sophisticated technology and requires meticulous coordination among team members. The high-stakes environment of Dulce Base, with its focus on covert operations and national security, adds an additional layer of complexity to their work [Data: Reports (2)].\\n\\n## Conclusion\\n\\nIn summary, the team at Dulce Base faces numerous challenges in decrypting and understanding alien signals. These include the evolving complexity of the signals, interpreting alien intentions, ensuring control and security, balancing caution with curiosity, and overcoming technical and logistical hurdles. Their work is a delicate dance of science, strategy, and diplomacy, with each step potentially altering the course of human history.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 2 Dulce Base: Extraterrestrial Research and Comm... \n", + " \n", + " content \n", + " 0 # Dulce Base: Extraterrestrial Research and Co... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 7 have a way in.\"\\n\\nA slight nod was Alex's im...\n", + " 1 8 ences the full spectrum of human curiosity and...\n", + " 2 4 were at once coherent and enigmatic: \"*Voyage...\n", + " 3 7 have a way in.\"\\n\\nA slight nod was Alex's im...},\n", + " 'token_ct': 11925},\n", + " 'id': 126},\n", + " {'query': 'How does the team ensure the security and confidentiality of their communications with extraterrestrial intelligence?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 127},\n", + " {'query': 'What are the potential implications of successful communication with extraterrestrial intelligence for global security and humanity?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 128},\n", + " {'query': 'What specific strategies did Alex Mercer employ to maintain team morale and focus during the mission?',\n", + " 'answer': '# Strategies Employed by Alex Mercer to Maintain Team Morale and Focus\\n\\n## Leadership and Diplomacy\\n\\nAlex Mercer demonstrated a strong sense of leadership and diplomacy throughout the mission. He maintained a calm and composed demeanor, which helped to stabilize the team during moments of high tension. For instance, when the team was on the brink of making first contact, Alex\\'s question, \"Thoughts?\" invited collaboration and acknowledged the expertise of his team members, particularly Dr. Jordan Hayes [Data: Sources (5)]. This approach fostered a sense of mutual respect and collective effort.\\n\\n## Encouraging Collaboration\\n\\nMercer encouraged open communication and collaboration among the team members. He often sought input from his colleagues, which helped to create an inclusive environment where everyone felt valued. For example, during a critical moment in the mission, Alex asked for the team\\'s thoughts, which allowed them to share their insights and contribute to the decision-making process [Data: Sources (5)]. This strategy not only boosted morale but also ensured that the team was working cohesively towards their common goal.\\n\\n## Balancing Caution and Optimism\\n\\nAlex Mercer skillfully balanced caution with optimism. He was aware of the potential risks involved in their mission but also recognized the importance of maintaining a positive outlook. When the team was deciphering the alien signal, Alex advised them to \"tread carefully\" and \"communicate with purpose,\" which highlighted the need for caution while also encouraging them to stay focused on their objective [Data: Sources (4)]. This balanced approach helped to keep the team grounded and motivated.\\n\\n## Providing Clear Direction\\n\\nMercer provided clear and decisive direction during critical moments. His ability to articulate the mission\\'s objectives and the steps needed to achieve them helped to keep the team focused. For instance, when the team was preparing to establish a dialogue with the extraterrestrial intelligence, Alex emphasized the importance of understanding the signal and communicating effectively [Data: Sources (4)]. This clarity of purpose helped to align the team\\'s efforts and maintain their focus.\\n\\n## Fostering a Sense of Purpose\\n\\nAlex Mercer instilled a sense of purpose in the team by emphasizing the significance of their mission. He reminded them that their work could potentially redefine humanity\\'s understanding of the universe. This sense of higher purpose was particularly evident when Alex reflected on the mission\\'s broader implications, stating that their actions could dictate the outcome of the entire operation [Data: Sources (4)]. By highlighting the importance of their work, Mercer helped to inspire and motivate the team.\\n\\n## Conclusion\\n\\nThrough his leadership, diplomacy, encouragement of collaboration, balanced approach, clear direction, and emphasis on the mission\\'s significance, Alex Mercer effectively maintained team morale and focus during the mission. His strategies ensured that the team remained cohesive, motivated, and aligned with their objectives, ultimately contributing to the success of their mission.\\n',\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 1 3 , absorbed in the bewilderment of contact, whi...\n", + " 2 3 , absorbed in the bewilderment of contact, whi...\n", + " 3 4 were at once coherent and enigmatic: \"*Voyage...},\n", + " 'token_ct': 12114},\n", + " 'id': 129},\n", + " {'query': \"How did the team members' individual skills contribute to the overall success of the mission?\",\n", + " 'answer': \"# Contribution of Team Members' Skills to the Mission's Success\\n\\n## Sam Rivera's Technical Expertise\\n\\nSam Rivera, a cybersecurity expert, played a pivotal role in deciphering and establishing communication with extraterrestrial signals. Their technical skills were crucial in adapting the team's gear to transmute foreign signals into something the team could dissect. This ability to bridge systems for communication was a testament to the mentorship and belief instilled in them by Alex Mercer and the team [Data: Reports (5); Sources (3, 2, 3, 3)]. Sam's optimism and enthusiasm for first contact with extraterrestrial beings also helped drive the team's efforts forward [Data: Reports (5)].\\n\\n## Alex Mercer's Leadership and Mentorship\\n\\nAlex Mercer acted as a mentor and guide for the team, particularly for Sam Rivera. His prior military resolve and experience provided a stabilizing force, helping to keep the team grounded and focused on their mission. Alex's ability to absorb and consider hypotheses, such as the zenithal star alignments, demonstrated his open-mindedness and intellectual curiosity, which were essential for navigating the unknown aspects of their mission [Data: Reports (5); Sources (3, 2)].\\n\\n## Taylor Cruz's Cautious Approach\\n\\nTaylor Cruz provided a counterbalance to Sam Rivera's optimism with a more cautious and practical approach. Their focus on facts and critical intel ensured that the team remained grounded in reality and did not get carried away by speculative theories. Taylor's command and authority were crucial in maintaining discipline and order within the team, especially during moments of uncertainty and potential danger [Data: Reports (5); Sources (3, 2)].\\n\\n## Jordan Hayes' Analytical Skills\\n\\nDr. Jordan Hayes brought a scientific and analytical perspective to the team. Their ability to interpret patterns in signal disruptions and align them with celestial mechanics provided critical insights that helped the team understand the nature of the extraterrestrial signals. Jordan's composure and intellectual curiosity were vital in driving the team's efforts to decode and respond to the messages they received [Data: Reports (5); Sources (3, 2)].\\n\\n## Collaborative Efforts and Team Dynamics\\n\\nThe success of the mission was not solely due to individual skills but also the collaborative efforts and dynamics of the team. Each member's unique strengths complemented the others, creating a balanced and effective unit. The team's ability to work together, despite their different approaches and perspectives, was key to their ability to navigate the complexities of their mission and achieve their objectives [Data: Reports (5); Sources (3, 2)].\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 5 Sam Rivera and the Paranormal Military Squad a... \n", + " \n", + " content \n", + " 0 # Sam Rivera and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 3 , absorbed in the bewilderment of contact, whi...\n", + " 2 2 . \"Your take on these signal inconsistencies?\"...\n", + " 3 3 , absorbed in the bewilderment of contact, whi...},\n", + " 'token_ct': 11832},\n", + " 'id': 130},\n", + " {'query': 'What were the specific environmental challenges faced at the Dulce Military Base, and how were they mitigated?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 131},\n", + " {'query': 'Can you provide more details on the transition from exploration to engagement with the extraterrestrial signal?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 132},\n", + " {'query': 'What were the long-term implications of the first contact established during the Dulce Base mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 133},\n", + " {'query': 'What specific technological advancements were made by the Paranormal Military Squad following the first contact event?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 134},\n", + " {'query': \"How did the first contact event impact the individual team members' roles and responsibilities?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 135},\n", + " {'query': 'What were the long-term implications of the first contact event for the Paranormal Military Squad?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 136},\n", + " {'query': 'How did the team manage the psychological challenges brought about by the first contact event?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 137},\n", + " {'query': 'What were the key elements of the alien code that Dr. Jordan Hayes deciphered?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 138},\n", + " {'query': \"What are some specific instances where Taylor Cruz's strategic decisions impacted the mission?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 139},\n", + " {'query': \"How does Dr. Jordan Hayes' approach to alien signal decryption differ from other team members?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 140},\n", + " {'query': 'What are the dynamics between Taylor Cruz and Alex Mercer within the Paranormal Military Squad?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 141},\n", + " {'query': 'Can you provide more details on the collaborative efforts between Dr. Jordan Hayes and Sam Rivera?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 142},\n", + " {'query': 'What are the potential risks that Taylor Cruz is most concerned about in the mission?',\n", + " 'answer': \"## Potential Risks Highlighted by Taylor Cruz in the Mission to Dulce Base and Beyond ##\\n\\n### Emphasis on Protocols and Caution ###\\n\\nTaylor Cruz is depicted as a highly cautious and strategic leader within the Paranormal Military Squad. One of the primary risks Cruz is concerned about is the deviation from established protocols. Cruz emphasizes the importance of maintaining strict adherence to protocols to mitigate the risks associated with the unknown variables they are likely to encounter during their mission [Data: Reports (4); Sources (0)]. This cautious approach is evident in Cruz's interactions with other team members, where they often remind them to focus and avoid speculation, which Cruz views as counter-productive [Data: Sources (0)].\\n\\n### Unpredictability and Unknown Variables ###\\n\\nCruz is acutely aware of the unpredictable nature of their mission, particularly the unknown variables that lie beyond the boundaries of any established protocol. This concern is highlighted during a meeting where Dr. Jordan Hayes mentions the need to remain adaptive due to the unknown challenges they might face. Cruz acknowledges this but maintains a focus on the importance of protocols [Data: Sources (0)]. The unpredictability of the mission is a significant risk that Cruz is constantly trying to manage through strict adherence to procedures and protocols.\\n\\n### Potential Aggressiveness of Alien Intent ###\\n\\nAnother major risk that Cruz is concerned about is the potential aggressiveness of the alien intelligence they are attempting to communicate with. Cruz's cautious nature leads them to question the intent behind the alien signals and to prepare for the possibility that these communications could be threats rather than peaceful overtures [Data: Sources (0)]. This concern is reflected in Cruz's insistence on documenting everything meticulously and ensuring that no detail is overlooked, as any misstep could lead to catastrophic consequences.\\n\\n### Balancing Authority and Trust ###\\n\\nCruz also faces the challenge of balancing their authoritative role with the need to foster trust and collaboration within the team. This is particularly important given the high-stakes nature of their mission, where the success of their objectives relies heavily on the team's ability to work together effectively. Cruz's interactions with other team members, such as Alex Mercer and Dr. Jordan Hayes, often involve a delicate balance of asserting authority while also acknowledging the importance of trust and adaptability [Data: Reports (4); Sources (0)].\\n\\n### Conclusion ###\\n\\nIn summary, Taylor Cruz's primary concerns revolve around maintaining strict adherence to protocols, managing the unpredictability of the mission, preparing for potential threats from alien intelligence, and balancing authority with trust within the team. These concerns highlight Cruz's strategic and cautious approach to the mission, aiming to mitigate risks and ensure the success of their objectives.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 0 # Operation: Dulce\\n\\n## Chapter 1\\n\\nThe thru...\n", + " 1 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 2 3 , absorbed in the bewilderment of contact, whi...\n", + " 3 6 cribed not in the dust of desert confines, but...\n", + " 4 3 , absorbed in the bewilderment of contact, whi...},\n", + " 'token_ct': 12710},\n", + " 'id': 143},\n", + " {'query': 'What specific roles do Dr. Jordan Hayes and Agent Alex Mercer play in the Paranormal Military Squad?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 144},\n", + " {'query': \"How does Sam Rivera's technical expertise contribute to the team's mission?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 145},\n", + " {'query': 'What are the psychological challenges faced by the Paranormal Military Squad team members?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 146},\n", + " {'query': \"How does Taylor Cruz's pragmatic approach influence the team's strategies?\",\n", + " 'answer': \"# Taylor Cruz's Pragmatic Influence on Team Strategies\\n\\n## Strategic Leadership and Decision-Making\\n\\nTaylor Cruz's pragmatic approach significantly shapes the strategies and decision-making processes of the Paranormal Military Squad. As a commanding figure within the team, Cruz is known for their cautious and strategic oversight, particularly during the interstellar communication process. This pragmatic stance ensures that the team remains grounded and focused on factual data rather than speculative theories [Data: Reports (4); Sources (3)]. For instance, during a critical moment of signal interpretation, Cruz emphasized the need for facts over mystic conjecture, highlighting their preference for evidence-based strategies [Data: Sources (3)].\\n\\n## Balancing Authority and Collaboration\\n\\nCruz's interactions with other team members, such as Dr. Jordan Hayes and Sam Rivera, reflect a balance of authority and collaboration. This dynamic is crucial for the success of the squad's objectives, as it fosters an environment where team members can contribute their expertise while adhering to a structured approach [Data: Reports (4); Sources (3)]. Cruz's ability to seek counsel from team members like Sam Rivera, while maintaining a calculated and authoritative stance, exemplifies their role in harmonizing the team's efforts towards a common goal [Data: Sources (3)].\\n\\n## Risk Management and Operational Security\\n\\nOne of the key aspects of Cruz's pragmatic approach is their focus on risk management and operational security. Cruz's insistence on documenting every detail and ensuring no information is missed underscores their commitment to minimizing risks and maximizing the team's chances of success [Data: Sources (3)]. This meticulous attention to detail is evident in their directive to document everything during the initial stages of establishing communication with extraterrestrial intelligence, reflecting their strategic foresight and caution [Data: Sources (3)].\\n\\n## Influence on Team Dynamics and Morale\\n\\nCruz's pragmatic approach also influences the team's dynamics and morale. By providing clear directives and maintaining a composed demeanor, Cruz helps to instill a sense of purpose and direction within the team. Their ability to balance skepticism with openness to new ideas ensures that the team remains adaptable while staying focused on their mission [Data: Reports (4); Sources (3)]. This leadership style not only enhances the team's operational efficiency but also fosters a collaborative and resilient team culture.\\n\\n## Conclusion\\n\\nIn summary, Taylor Cruz's pragmatic approach plays a pivotal role in shaping the strategies and decision-making processes of the Paranormal Military Squad. Their emphasis on factual data, risk management, and balanced authority significantly influences the team's operational success and overall dynamics. Cruz's leadership ensures that the team remains focused, adaptable, and prepared to navigate the complexities of interstellar communication and extraterrestrial engagement.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 2 3 , absorbed in the bewilderment of contact, whi...\n", + " 3 8 ences the full spectrum of human curiosity and...},\n", + " 'token_ct': 12085},\n", + " 'id': 147},\n", + " {'query': 'What are the potential threats identified by the Paranormal Military Squad in their mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 148},\n", + " {'query': \"What specific strategies does Alex Mercer employ to ensure the success of the Paranormal Military Squad's mission?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 149},\n", + " {'query': \"How does Dr. Jordan Hayes contribute to the squad's long-term goals?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 150},\n", + " {'query': 'What are the potential risks and challenges faced by the Paranormal Military Squad in their mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 151},\n", + " {'query': \"How does Taylor Cruz's role complement Alex Mercer's leadership within the squad?\",\n", + " 'answer': \"# Taylor Cruz's Role Complementing Alex Mercer's Leadership within the Squad\\n\\n## Introduction\\n\\nThe Paranormal Military Squad, centered around Dulce Base, is a covert team focused on interstellar communication and extraterrestrial engagement. Key figures in this squad include Alex Mercer and Taylor Cruz, whose roles and leadership styles complement each other to ensure the success of their mission [Data: Reports (4)].\\n\\n## Alex Mercer's Leadership\\n\\nAlex Mercer is recognized as a leader within the Paranormal Military Squad, guiding the team in their mission to establish contact with alien intelligence. Mercer's leadership is characterized by a diplomatic approach to potential extraterrestrial contact and a focus on strategic planning [Data: Reports (4)]. His ability to maintain a controlled presence and provide steady guidance is crucial during high-stakes operations, such as decrypting alien signals and engaging in interstellar communication [Data: Sources (9)]. Mercer's leadership style fosters a collaborative environment, encouraging team members to contribute their expertise and insights [Data: Reports (4)].\\n\\n## Taylor Cruz's Strategic Role\\n\\nTaylor Cruz plays a pivotal role within the squad, known for their cautious and strategic approach to the mission. Cruz's responsibilities include providing pragmatic oversight and exercising skepticism, particularly during the interstellar communication process [Data: Reports (4)]. Their interactions with other team members, such as Dr. Jordan Hayes and Sam Rivera, reflect a balance of authority and collaboration, which is crucial for the success of the squad's objectives [Data: Reports (4); Sources (9)]. Cruz's ability to anticipate potential risks and enforce protocols ensures that the team remains focused and prepared for any unforeseen challenges [Data: Reports (4)].\\n\\n## Complementary Dynamics\\n\\nThe complementary dynamics between Mercer and Cruz are evident in their interactions and decision-making processes. While Mercer provides the diplomatic and strategic vision, Cruz ensures that the team adheres to protocols and remains vigilant against potential threats. This balance of leadership styles creates a robust framework for the squad's operations, allowing them to navigate the complexities of interstellar communication effectively [Data: Reports (4); Sources (9)]. For instance, during critical moments of signal decryption and analysis, Mercer's steady guidance and Cruz's pragmatic oversight work in tandem to achieve breakthroughs [Data: Sources (9)].\\n\\n## Conclusion\\n\\nIn summary, Taylor Cruz's role as a cautious and strategic leader complements Alex Mercer's diplomatic and collaborative leadership within the Paranormal Military Squad. Their combined efforts create a balanced and effective team dynamic, essential for the success of their mission to establish contact with extraterrestrial intelligence [Data: Reports (4); Sources (9)].\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 4 Dulce Base and the Paranormal Military Squad: ... \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 9 ; we are the threads that may weave a new cosm...\n", + " 1 2 . \"Your take on these signal inconsistencies?\"...\n", + " 2 8 ences the full spectrum of human curiosity and...\n", + " 3 5 the universe.\\n\\nIn a symphony of clicks and ...},\n", + " 'token_ct': 12071},\n", + " 'id': 152},\n", + " {'query': 'What technological advancements have been made by the squad so far in their efforts to communicate with extraterrestrial intelligence?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 153},\n", + " {'query': \"What specific experiences in Mercer's military background prepared him for this mission?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 154},\n", + " {'query': \"How do Mercer's interactions with Dr. Jordan Hayes and Taylor Cruz influence the team's approach to the mission?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 155},\n", + " {'query': \"What are some examples of Mercer's diplomatic skills in action during the mission?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 156},\n", + " {'query': \"How does Mercer's adaptability manifest in specific situations during the mission?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 157},\n", + " {'query': 'What are the potential risks and challenges that Mercer anticipates, and how does he plan to address them?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 158},\n", + " {'query': 'What are some specific challenges Mercer faced during the mission at Dulce Base?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 159},\n", + " {'query': \"How does Mercer's military background influence his leadership style?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 160},\n", + " {'query': \"Can you provide more details on Mercer's relationship with other team members?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 161},\n", + " {'query': \"What are some examples of Mercer's strategic decisions that impacted the mission's outcome?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 162},\n", + " {'query': 'How does Mercer handle conflicts within the team?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 163},\n", + " {'query': 'What specific skills does Agent Mercer bring to the Paranormal Military Squad Team?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 164},\n", + " {'query': \"How do Agent Mercer's interactions with Dr. Jordan Hayes influence the team's progress?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 165},\n", + " {'query': 'What are some examples of the psychological complexities Mercer navigates during the mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 166},\n", + " {'query': \"How does Mercer's leadership style compare to that of other team members like Taylor Cruz?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 167},\n", + " {'query': 'What are the potential risks and challenges that Mercer foresees in the mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 168},\n", + " {'query': 'What specific skills and expertise does Alex Mercer bring to the Dulce Base mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 169},\n", + " {'query': \"How does Alex Mercer's leadership style impact the team's performance at Dulce Base?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 170},\n", + " {'query': 'What are some specific examples of crises Alex Mercer has managed during the mission?',\n", + " 'answer': \"# Crises Managed by Alex Mercer During the Mission\\n\\n## Crisis 1: Establishing Communication with Extraterrestrial Signals\\n\\nOne of the significant crises Alex Mercer managed was the initial establishment of communication with extraterrestrial signals. This situation was fraught with uncertainty and potential danger. Taylor Cruz, despite their authority, showed signs of unease, indicating the high stakes involved. Alex's mentorship and guidance were crucial as Sam Rivera adapted their gear to transmute the foreign signals into something the team could dissect. This moment was pivotal as it marked the team's first successful attempt to bridge their systems to communicate with extraterrestrial intelligence [Data: Sources (3)].\\n\\n## Crisis 2: Decoding Alien Messages and Understanding Intent\\n\\nAnother critical situation involved decoding alien messages and understanding their intent. Dr. Jordan Hayes identified that the patterns in the signal disruptions synced with zenithal star alignments, suggesting that these 'meet and greets' were scheduled by celestial mechanics. This hypothesis was met with skepticism by Taylor Cruz, who demanded facts over conjecture. Alex Mercer played a key role in mediating this tension, emphasizing the importance of the observed phenomena and ensuring that the team remained focused on the critical intel [Data: Sources (8)].\\n\\n## Crisis 3: Handling the Warning in the Alien Message\\n\\nThe team faced a significant crisis when they decoded a message that contained coordinates and a warning. The ambiguity of the warning—whether it was out of concern or a threat—posed a substantial risk to the operation. Alex Mercer had to quickly assess the situation and guide the team through the potential implications. His decisive yet contemplative approach helped the team understand the gravity of the message and the need to determine the intent behind it [Data: Sources (8)].\\n\\n## Crisis 4: Responding to the Alien Dialogue\\n\\nResponding to the alien dialogue was another major crisis. The team had to ensure that their response was thoughtful and measured, as they were not just explorers but ambassadors. Alex Mercer's leadership was crucial in this scenario, as he emphasized the importance of empathy and understanding in their communication. This approach was vital in ensuring that the team did not make any missteps that could jeopardize their mission or humanity's first contact with extraterrestrial intelligence [Data: Sources (8)].\\n\\n## Crisis 5: Managing Team Dynamics and Tensions\\n\\nThroughout the mission, Alex Mercer also had to manage the dynamics and tensions within the team. For instance, there were moments when Taylor Cruz's pragmatic and sometimes skeptical approach clashed with the more optimistic and curious perspectives of other team members like Sam Rivera and Dr. Jordan Hayes. Alex's ability to mediate these differences and maintain a cohesive team was essential in navigating the complex and high-stakes environment of their mission [Data: Sources (3, 8)].\\n\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 5 Sam Rivera and the Paranormal Military Squad a... \n", + " \n", + " content \n", + " 0 # Sam Rivera and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 8 ences the full spectrum of human curiosity and...\n", + " 2 5 the universe.\\n\\nIn a symphony of clicks and ...\n", + " 3 1 be the same.\\n\\n\\*\\n\\nThe sense of foreboding...},\n", + " 'token_ct': 11872},\n", + " 'id': 171},\n", + " {'query': 'How does Alex Mercer coordinate with other key personnel like Jordan Hayes and Taylor Cruz?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 172},\n", + " {'query': \"What are the broader implications of Alex Mercer's decisions on the mission's success?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 173},\n", + " {'query': 'What specific skills and experiences does Alex Mercer bring to the team?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 174},\n", + " {'query': \"How does Mercer's leadership style influence the team's dynamics?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 175},\n", + " {'query': \"What are some examples of successful outcomes achieved under Mercer's guidance?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 176},\n", + " {'query': 'How does Mercer handle conflicts or disagreements within the team?',\n", + " 'answer': \"# Handling Conflicts and Disagreements within the Team by Alex Mercer\\n\\n## Leadership and Mentorship\\n\\nAlex Mercer plays a pivotal role in managing conflicts and disagreements within the Paranormal Military Squad at Dulce Base. His approach is characterized by a blend of mentorship and authoritative decision-making. Mercer often acts as a mentor to Sam Rivera, guiding them through complex situations and instilling confidence in their abilities [Data: Reports (5); Sources (3)]. This mentorship is crucial in maintaining team cohesion and ensuring that technical challenges are met with a unified front.\\n\\n## Balancing Optimism and Pragmatism\\n\\nMercer is adept at balancing the optimism of team members like Sam Rivera with the pragmatism of others like Taylor Cruz. For instance, when Taylor Cruz expresses skepticism about the celestial mechanics hypothesis proposed by Jordan Hayes, Mercer steps in to validate the scientific basis of the hypothesis while acknowledging the need for practical considerations [Data: Sources (3)]. This ability to mediate between differing viewpoints helps in resolving conflicts and aligning the team towards common goals.\\n\\n## Decisive Leadership\\n\\nIn moments of critical decision-making, Mercer exhibits decisive leadership. When the team faces uncertainty about the intent behind an alien message, Mercer emphasizes the importance of understanding the intent, whether it is a warning or a threat [Data: Sources (3)]. His decisive yet contemplative approach ensures that the team remains focused and grounded, even in the face of potential risks.\\n\\n## Encouraging Open Dialogue\\n\\nMercer fosters an environment where open dialogue is encouraged. During team briefings, he listens to the insights and concerns of all team members, from Jordan Hayes' scientific observations to Taylor Cruz's practical cautions [Data: Sources (3)]. This inclusive approach not only helps in addressing conflicts but also ensures that all perspectives are considered in the decision-making process.\\n\\n## Maintaining Team Morale\\n\\nMercer understands the importance of maintaining team morale, especially during high-stakes missions. His ability to inspire confidence and a sense of purpose among team members is evident in his interactions with them. For example, his reassurance to the team about their role as Earth's emissaries to a celestial congress highlights his skill in motivating the team to embrace their mission with a sense of honor and responsibility [Data: Sources (8)].\\n\\n## Conclusion\\n\\nOverall, Alex Mercer's handling of conflicts and disagreements within the team is marked by a combination of mentorship, balanced mediation, decisive leadership, open dialogue, and morale-boosting. These qualities make him an effective leader capable of navigating the complexities of their mission at Dulce Base.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 5 Sam Rivera and the Paranormal Military Squad a... \n", + " \n", + " content \n", + " 0 # Sam Rivera and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 3 , absorbed in the bewilderment of contact, whi...\n", + " 1 3 , absorbed in the bewilderment of contact, whi...\n", + " 2 3 , absorbed in the bewilderment of contact, whi...\n", + " 3 8 ences the full spectrum of human curiosity and...},\n", + " 'token_ct': 11831},\n", + " 'id': 177},\n", + " {'query': 'What are the long-term goals of the Paranormal Military Squad, and how does Mercer contribute to them?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 178},\n", + " {'query': 'What specific skills did each team member bring to Operation: Dulce?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 179},\n", + " {'query': \"How did the team members' backgrounds influence their roles in the mission?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 180},\n", + " {'query': 'What were the psychological impacts of the Dulce Military Base on the team?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 181},\n", + " {'query': \"How did the team members' relationships evolve throughout the mission?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 182},\n", + " {'query': 'What were the key moments of conflict or cooperation among the team members during Operation: Dulce?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 183},\n", + " {'query': 'What specific technologies are being used by Alex Mercer and his team to decode alien signals?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 184},\n", + " {'query': 'How does Alex Mercer manage the psychological well-being of his team during this high-stress mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 185},\n", + " {'query': 'What are the potential risks associated with misinterpreting alien communications?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 186},\n", + " {'query': \"How do the diverse expertise and perspectives within Mercer's team contribute to their mission?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 187},\n", + " {'query': \"What protocols are in place to ensure the team's safety during potential alien contact scenarios?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 188},\n", + " {'query': 'What are the backgrounds and expertise of the other key personnel at Dulce Base?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 189},\n", + " {'query': 'How does the team at Dulce Base handle the decryption of alien signals?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 190},\n", + " {'query': 'What specific challenges has Alex Mercer faced in his role at Dulce Base?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 191},\n", + " {'query': \"How does the Paranormal Military Squad's mission at Dulce Base impact global security?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 192},\n", + " {'query': 'What are the protocols for extraterrestrial communication at Dulce Base?',\n", + " 'answer': \"# Protocols for Extraterrestrial Communication at Dulce Base\\n\\n## Overview of Dulce Base's Role\\n\\nDulce Base is a highly classified facility in New Mexico, central to the Paranormal Military Squad's operations, focusing on extraterrestrial communication and research. The base is involved in covert operations, decryption of alien signals, and dialogue with extraterrestrial intelligence [Data: Reports (2)]. The protocols for extraterrestrial communication at Dulce Base are designed to ensure secure, effective, and meaningful interactions with potential alien intelligences.\\n\\n## Decryption and Interpretation\\n\\nOne of the primary protocols involves the decryption of alien signals. This process is critical as it allows the team to interpret and understand the communications received from extraterrestrial sources. The complexity and importance of this task are highlighted by the specialized roles of team members dedicated to this effort, such as Dr. Jordan Hayes, who is deeply involved in the decryption algorithms [Data: Reports (2); Sources (6, 7, 8)]. The team must ensure that every signal is meticulously analyzed to discern its intent and content.\\n\\n## Communication Strategy\\n\\nThe communication strategy at Dulce Base involves a balanced approach, combining scientific acuity with diplomatic caution. Alex Mercer, a key figure in the operations, emphasizes the importance of maintaining a steady and thoughtful approach to communication, ensuring that the responses are measured and considerate of the potential implications [Data: Sources (6, 7, 8)]. The team is aware that their responses could either foster a positive relationship or lead to misunderstandings, hence the need for a careful and strategic approach.\\n\\n## Pragmatic Oversight\\n\\nPragmatic oversight is another crucial protocol at Dulce Base. This involves continuous monitoring and assessment of the communication process to ensure that it remains within controlled parameters. Taylor Cruz, embodying military precision, often reminds the team of the potential risks and the need for vigilance [Data: Sources (6, 7, 8)]. This oversight helps in navigating the uncertainties and potential risks associated with extraterrestrial engagement.\\n\\n## Response and Adaptation\\n\\nThe team at Dulce Base is prepared to adapt their communication methods based on the evolving nature of the signals received. Sam Rivera, for instance, highlights the importance of understanding the modulation and patterns in the signals, suggesting that the communication is not just an exchange but a symphony that requires a nuanced response [Data: Sources (6, 7, 8)]. This adaptive approach ensures that the team can effectively engage with the alien intelligence in a manner that is both respectful and insightful.\\n\\n## Conclusion\\n\\nThe protocols for extraterrestrial communication at Dulce Base are comprehensive and meticulously designed to ensure secure and effective interactions with alien intelligences. By focusing on decryption, strategic communication, pragmatic oversight, and adaptive responses, the team at Dulce Base aims to navigate the complexities of extraterrestrial engagement and contribute to humanity's understanding of the universe.\\n\",\n", + " 'score': 85,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 2 Dulce Base: Extraterrestrial Research and Comm... \n", + " \n", + " content \n", + " 0 # Dulce Base: Extraterrestrial Research and Co... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 6 cribed not in the dust of desert confines, but...\n", + " 1 7 have a way in.\"\\n\\nA slight nod was Alex's im...\n", + " 2 8 ences the full spectrum of human curiosity and...\n", + " 3 8 ences the full spectrum of human curiosity and...},\n", + " 'token_ct': 11972},\n", + " 'id': 193},\n", + " {'query': \"How does Alex Mercer's background compare to other members of the Paranormal Military Squad?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 194},\n", + " {'query': \"What are some examples of Alex Mercer's leadership in high-stress situations?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 195},\n", + " {'query': 'What role does Alex Mercer play in the analysis of extraterrestrial patterns?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 196},\n", + " {'query': \"How do Alex Mercer's interactions with other team members reflect his training and expertise?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 197},\n", + " {'query': \"What specific instances highlight Mercer's leadership style in resolving conflicts?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 198},\n", + " {'query': \"How do other team members perceive Mercer's conflict resolution methods?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 199},\n", + " {'query': \"Can you provide examples of how Mercer's strategic decision-making has impacted the team's success?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 200},\n", + " {'query': \"What are the long-term effects of Mercer's leadership on team dynamics?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 201},\n", + " {'query': \"How does Mercer's background influence his approach to conflict resolution?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 202},\n", + " {'query': \"How does Alex Mercer's leadership style impact the overall mission of the Paranormal Military Squad?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 203},\n", + " {'query': 'Can you provide more examples of interactions between Alex Mercer and other team members?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 204},\n", + " {'query': 'What are the key challenges faced by Alex Mercer in his role within the Paranormal Military Squad?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 205},\n", + " {'query': \"How do other team members perceive Alex Mercer's leadership and contributions?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 206},\n", + " {'query': 'What specific skills does Alex Mercer bring to the mission that help him overcome these challenges?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 207},\n", + " {'query': 'How do the other team members contribute to addressing the challenges faced during the mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 208},\n", + " {'query': 'What are the potential consequences if the team fails to establish contact with extraterrestrial intelligence?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 209},\n", + " {'query': 'How does the environment of Dulce Base compare to other locations where the Paranormal Military Squad has operated?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 210},\n", + " {'query': \"What are the long-term implications of the mission's success or failure for the Paranormal Military Squad and humanity?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 211},\n", + " {'query': 'What specific technologies does Alex Mercer use in his role at Dulce Base?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 212},\n", + " {'query': \"How does Alex Mercer's psychological training compare to that of his colleagues?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 213},\n", + " {'query': 'What are some examples of the extraterrestrial patterns Alex Mercer has analyzed?',\n", + " 'answer': \"# Examples of Extraterrestrial Patterns Analyzed by Alex Mercer\\n\\n## Introduction\\nAgent Alex Mercer, a key member of the Paranormal Military Squad Team at Dulce Base, plays a crucial role in analyzing extraterrestrial patterns and operational aspects of the command center. His work involves deciphering complex signals and understanding the implications of first contact scenarios.\\n\\n## Analyzing Signal Anomalies\\nOne of the primary tasks undertaken by Alex Mercer involves analyzing anomalies in transmission logs. During a briefing, Sam Rivera mentioned combing through the last transmission logs and highlighted that if anyone could make sense of the anomalies, it would be Alex and Jordan Hayes [Data: Sources (0)]. This indicates that Alex is deeply involved in understanding irregularities in extraterrestrial communications.\\n\\n## Interpreting Rhythmic Patterns\\nAlex Mercer has also been involved in interpreting rhythmic patterns in alien signals. Sam Rivera noted that the signals have a rhythm, almost like music, suggesting that the extraterrestrial communications are not just random noise but have a structured, rhythmic quality [Data: Sources (10)]. This analysis is crucial for understanding the intent and nature of the extraterrestrial entities.\\n\\n## Decoding Evolving Signals\\nAnother significant aspect of Alex's work is decoding signals that evolve over time. Dr. Jordan Hayes mentioned that the signals are becoming denser and more sophisticated, indicating a form of tandem evolution with human understanding [Data: Sources (10)]. Alex's role in this context is to ensure that the team can keep up with the evolving nature of these signals and interpret them accurately.\\n\\n## Understanding Symbolic Communication\\nAlex has also been involved in understanding symbolic communication from extraterrestrial sources. The team received a transmission that included a sequence of visual symbols, which Alex and his team had to interpret to understand the message's intent [Data: Sources (8)]. This task requires a deep understanding of both human and alien cognitive processes to bridge the communication gap.\\n\\n## Conclusion\\nAgent Alex Mercer's work in analyzing extraterrestrial patterns is multifaceted, involving the interpretation of signal anomalies, rhythmic patterns, evolving signals, and symbolic communication. His expertise is crucial for the Paranormal Military Squad Team's mission to prepare for and manage extraterrestrial contact scenarios.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 0 Dulce Base and the Paranormal Military Squad Team \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 0 # Operation: Dulce\\n\\n## Chapter 1\\n\\nThe thru...\n", + " 1 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 2 10 every transmission,\" Jordan Hayes murmured, t...\n", + " 3 3 , absorbed in the bewilderment of contact, whi...\n", + " 4 8 ences the full spectrum of human curiosity and...},\n", + " 'token_ct': 12546},\n", + " 'id': 214},\n", + " {'query': \"How has Alex Mercer's collaboration with Dr. Jordan Hayes influenced his approach to extraterrestrial communication?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 215},\n", + " {'query': 'What were the outcomes of the first contact event observed by Alex Mercer?',\n", + " 'answer': \"## Outcomes of the First Contact Event Observed by Alex Mercer\\n\\n### Initial Observations and Reactions\\n\\nThe first contact event observed by Alex Mercer and his team at Dulce Base was marked by a profound sense of anticipation and cautious optimism. As the alien signal began to pulse with sentient curiosity, the team realized they were on the brink of unprecedented contact. Alex's immediate response was to stay alert and prepare for the potential implications of this otherworldly dialogue [Data: Sources (7)]. The room fell silent as the team, led by Alex and Dr. Jordan Hayes, worked meticulously to bridge the technological chasm between humanity and the alien intelligence [Data: Sources (7)].\\n\\n### Technological and Scientific Breakthroughs\\n\\nThe team's efforts led to significant technological and scientific breakthroughs. Dr. Jordan Hayes isolated the signal's harmonics, revealing it to be more than a mere call—it was an interstellar siren's call, a song that needed to be learned quickly [Data: Sources (7)]. This discovery indicated that the alien intelligence was not just a distant enigma but an active participant in the dialogue, responding to the team's digital overtures with an unknown agenda [Data: Sources (7)]. The evolving alien signals suggested that the intelligence was adapting to the team's attempts to decrypt the message, accelerating its learning process [Data: Sources (7)].\\n\\n### Psychological and Emotional Impact\\n\\nThe first contact event had a profound psychological and emotional impact on the team. Alex Mercer, along with his colleagues, experienced a mix of awe, fear, and responsibility as they stood on the edge of the unknown. The realization that their mission had morphed from passive observation to active engagement underscored the gravity of their role as humanity's ambassadors in this interstellar exchange [Data: Sources (7)]. The team's meticulous efforts and the intensifying glow of the monitors heralded a momentous threshold, marking the beginning of a new era in human-alien relations [Data: Sources (7)].\\n\\n### Strategic and Diplomatic Implications\\n\\nThe first contact event also had significant strategic and diplomatic implications. The team's analysis of the alien code and patterns revealed a complex and structured communication, indicating a highly advanced and intentional form of extraterrestrial intelligence [Data: Reports (0)]. This necessitated a careful and measured response, balancing the need for understanding with the potential risks involved. Alex Mercer's leadership and the team's collaborative efforts were crucial in navigating this delicate situation, ensuring that their actions were guided by both scientific curiosity and diplomatic prudence [Data: Reports (0); Sources (7)].\\n\\n### Conclusion\\n\\nIn conclusion, the first contact event observed by Alex Mercer and his team at Dulce Base marked a historic milestone in human history. It led to significant technological and scientific advancements, had a profound psychological impact on the team, and posed important strategic and diplomatic challenges. The event underscored the importance of careful and measured engagement in interstellar communication, highlighting the role of the Paranormal Military Squad as humanity's vanguard in the exploration of the cosmos.\\n\",\n", + " 'score': 90,\n", + " 'metadata': {'context_data': {'reports': id title \\\n", + " 0 0 Dulce Base and the Paranormal Military Squad Team \n", + " \n", + " content \n", + " 0 # Dulce Base and the Paranormal Military Squad... ,\n", + " 'entities': Empty DataFrame\n", + " Columns: [in_context]\n", + " Index: [],\n", + " 'sources': id text\n", + " 0 7 have a way in.\"\\n\\nA slight nod was Alex's im...\n", + " 1 0 # Operation: Dulce\\n\\n## Chapter 1\\n\\nThe thru...\n", + " 2 11 , the sentinel within them ever alert.\\n\\nAlex...\n", + " 3 8 ences the full spectrum of human curiosity and...\n", + " 4 5 the universe.\\n\\nIn a symphony of clicks and ...},\n", + " 'token_ct': 12713},\n", + " 'id': 216},\n", + " {'query': 'How does Alex Mercer’s military background influence his leadership style?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 217},\n", + " {'query': 'What specific strategies does Alex Mercer use to resolve conflicts within his team?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 218},\n", + " {'query': 'How does Alex Mercer handle the psychological stress associated with high-stakes decision-making?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 219},\n", + " {'query': 'What are some examples of successful decisions Alex Mercer has made in his leadership role?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 220},\n", + " {'query': 'How does Alex Mercer’s relationship with higher authorities impact his leadership and decision-making?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 221},\n", + " {'query': 'What specific roles do each of the team members play in the decryption process?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 222},\n", + " {'query': 'How does the team ensure the security of their communication streams?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 223},\n", + " {'query': \"What are the potential risks if the alien intelligence outpaces the team's understanding?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 224},\n", + " {'query': 'Can you provide more details on the technology used in the decryption process?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 225},\n", + " {'query': 'What protocols are in place for first contact with extraterrestrial intelligence?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 226},\n", + " {'query': 'What specific measures are in place at Dulce Base to support the mental well-being of its personnel?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 227},\n", + " {'query': 'How does the base ensure the continuous supply of essential resources given its remote location?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 228},\n", + " {'query': 'What kind of specialized training do personnel undergo to operate in the harsh desert environment?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 229},\n", + " {'query': 'What are the key technologies used at Dulce Base for extraterrestrial communication and research?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 230},\n", + " {'query': \"How does the base's isolation impact the overall security and secrecy of its operations?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 231},\n", + " {'query': 'What specific skills and training does Alex Mercer have that qualify him for this role?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 232},\n", + " {'query': 'How does Alex Mercer collaborate with other team members like Dr. Jordan Hayes and Sam Rivera?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 233},\n", + " {'query': 'What are some of the challenges Alex Mercer faces in interpreting extraterrestrial signals?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 234},\n", + " {'query': 'Can you provide more details on the first contact event that Alex Mercer observed?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 235},\n", + " {'query': 'What are the psychological complexities that Alex Mercer deals with in his role?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 236},\n", + " {'query': 'How does Alex Mercer cope with the psychological stress of his role?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 237},\n", + " {'query': 'What specific strategies does Mercer use to maintain team cohesion?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 238},\n", + " {'query': \"How do the other team members perceive Mercer's leadership?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 239},\n", + " {'query': 'What are some examples of critical decisions Mercer has had to make?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 240},\n", + " {'query': \"How does the isolation at Dulce Base impact the team's overall morale and performance?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 241},\n", + " {'query': 'What specific scientific breakthroughs is Dr. Jordan Hayes on the verge of achieving?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 242},\n", + " {'query': \"How does Agent Alex Mercer's background contribute to his role in the Paranormal Military Squad Team?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 243},\n", + " {'query': 'What are some of the potential first contact scenarios the team is preparing for?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 244},\n", + " {'query': \"How does the collaboration between team members enhance their mission's success?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 245},\n", + " {'query': 'What hidden technologies have been discovered by the team, and how might they be used in future missions?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 246},\n", + " {'query': \"What specific instances demonstrate Taylor Cruz's influence on the team's decision-making?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 247},\n", + " {'query': \"How do other team members perceive Taylor Cruz's leadership style?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 248},\n", + " {'query': \"In what ways does Taylor Cruz's pragmatic approach impact the team's interactions with extraterrestrial intelligence?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 249},\n", + " {'query': \"How does Taylor Cruz's relationship with Dr. Jordan Hayes and Alex Mercer affect the team's strategies?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 250},\n", + " {'query': \"What are the potential challenges or limitations of Taylor Cruz's pragmatic approach?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 251},\n", + " {'query': 'What specific skills and qualities does Alex Mercer possess that make him effective in managing crises?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 252},\n", + " {'query': \"How does Alex Mercer's leadership style influence the team's approach to the mission?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 253},\n", + " {'query': 'Can you provide more details on the relationship dynamics between Alex Mercer and other team members?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 254},\n", + " {'query': \"What are some of the long-term impacts of the crises managed by Alex Mercer on the mission's outcomes?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 255},\n", + " {'query': 'How does Alex Mercer balance the scientific and military aspects of the mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 256},\n", + " {'query': 'What specific mentorship strategies does Mercer use with Sam Rivera?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 257},\n", + " {'query': 'How does Mercer balance the technical and emotional needs of the team?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 258},\n", + " {'query': 'Can you provide examples of conflicts Mercer has resolved within the team?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 259},\n", + " {'query': \"What are Taylor Cruz's views on Mercer's leadership style?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 260},\n", + " {'query': \"How does Mercer's military background influence his conflict resolution methods?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 261},\n", + " {'query': 'What specific roles do Alex Mercer, Taylor Cruz, and Sam Rivera play in the communication protocols at Dulce Base?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 262},\n", + " {'query': 'How does the team at Dulce Base ensure the security of their communications with extraterrestrial intelligences?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 263},\n", + " {'query': 'What are some of the challenges faced by the team in decrypting and interpreting alien signals?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 264},\n", + " {'query': 'Can you provide more details on the decryption algorithms used by Dr. Jordan Hayes?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 265},\n", + " {'query': 'What are the potential risks associated with extraterrestrial communication, and how does Dulce Base mitigate them?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 266},\n", + " {'query': 'What specific technical advancements did Sam Rivera develop for the mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 267},\n", + " {'query': \"How did Taylor Cruz's leadership style impact the team's dynamics?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 268},\n", + " {'query': \"Can you provide more details on Alex Mercer's military background and previous missions?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 269},\n", + " {'query': 'What were some of the key scientific discoveries made by Dr. Jordan Hayes during the mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 270},\n", + " {'query': \"How did the team's collaboration evolve over the course of the mission?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 271},\n", + " {'query': 'What specific role did Dr. Jordan Hayes play in the first contact event?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 272},\n", + " {'query': 'How did the team at Dulce Base prepare for the potential risks of the first contact event?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 273},\n", + " {'query': 'How did the first contact event influence subsequent missions and research at Dulce Base?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 274},\n", + " {'query': 'What were the key challenges faced by Alex Mercer and his team during the first contact event?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 275},\n", + " {'query': 'What specific challenges did the team face during their mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 276},\n", + " {'query': \"How did Alex Mercer's military background influence his leadership style?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 277},\n", + " {'query': 'What were the key moments of collaboration between Sam Rivera and other team members?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 278},\n", + " {'query': \"How did Taylor Cruz's cautious approach impact the team's decision-making process?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 279},\n", + " {'query': 'What were the scientific methods used by Dr. Jordan Hayes to analyze the extraterrestrial signals?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 280},\n", + " {'query': 'What specific challenges did Taylor Cruz face during the mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 281},\n", + " {'query': \"How did Sam Rivera's technical solutions impact the mission's outcomes?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 282},\n", + " {'query': \"What are some examples of Taylor Cruz's strategic decisions?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 283},\n", + " {'query': 'How did the relationship between Taylor Cruz and Sam Rivera evolve throughout the mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 284},\n", + " {'query': 'What role did Dr. Jordan Hayes play in supporting Taylor Cruz and Sam Rivera?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 285},\n", + " {'query': 'What specific instances highlight the collaboration between Alex Mercer and Taylor Cruz?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 286},\n", + " {'query': 'How do other team members perceive the leadership styles of Alex Mercer and Taylor Cruz?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 287},\n", + " {'query': 'What challenges have Alex Mercer and Taylor Cruz faced together, and how did they overcome them?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 288},\n", + " {'query': \"How does Taylor Cruz's skepticism impact the team's approach to interstellar communication?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 289},\n", + " {'query': 'What are the long-term goals of the Paranormal Military Squad under the leadership of Alex Mercer and Taylor Cruz?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 290},\n", + " {'query': 'What specific methods and technologies does Dr. Jordan Hayes use for decryption?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 291},\n", + " {'query': 'How has the team at Dulce Base prepared for potential risks associated with alien communication?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 292},\n", + " {'query': 'What are the roles of other key personnel like Alex Mercer, Taylor Cruz, and Sam Rivera in the decryption process?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 293},\n", + " {'query': \"Can you provide more details on the 'linguistic lock' mentioned in the decrypted signals?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 294},\n", + " {'query': 'What are the broader implications of establishing communication with extraterrestrial intelligence?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 295},\n", + " {'query': 'What specific protocols does Taylor Cruz emphasize during the mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 296},\n", + " {'query': \"How does Taylor Cruz's leadership style impact the team's dynamics?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 297},\n", + " {'query': 'What are the key interactions between Taylor Cruz and other team members that highlight their concerns?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 298},\n", + " {'query': \"How does Taylor Cruz's cautious approach influence the mission's outcomes?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 299},\n", + " {'query': 'What are the potential consequences of deviating from the protocols emphasized by Taylor Cruz?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 300},\n", + " {'query': 'What specific skills and expertise did Agent Mercer bring to the Paranormal Military Squad Team?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 301},\n", + " {'query': 'How did the first contact event impact the subsequent missions and objectives of the Paranormal Military Squad Team?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 302},\n", + " {'query': 'What were the immediate reactions and thoughts of Agent Mercer following the first contact event?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 303},\n", + " {'query': 'Can you provide more details on the device Sam Rivera was working on during the first contact event?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 304},\n", + " {'query': 'How did the relationship between Agent Mercer and Dr. Jordan Hayes influence the outcome of the first contact event?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 305},\n", + " {'query': 'What were the specific challenges Alex Mercer faced during the mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 306},\n", + " {'query': \"How did Alex Mercer's leadership style compare to that of Taylor Cruz?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 307},\n", + " {'query': \"What role did Dr. Jordan Hayes play in supporting Alex Mercer's strategies?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 308},\n", + " {'query': \"How did the team members respond to Alex Mercer's leadership during moments of crisis?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 309},\n", + " {'query': \"What were the long-term impacts of Alex Mercer's leadership on the team's dynamics?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 310},\n", + " {'query': 'What specific skills does Dr. Jordan Hayes bring to the team that are crucial for the mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 311},\n", + " {'query': \"How does Taylor Cruz's strategic caution impact the decision-making process within the squad?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 312},\n", + " {'query': \"Can you provide more examples of critical moments where Alex Mercer's leadership was pivotal?\",\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 313},\n", + " {'query': 'How do the personal dynamics between Mercer, Hayes, and Cruz evolve throughout the mission?',\n", + " 'answer': None,\n", + " 'score': None,\n", + " 'metadata': {},\n", + " 'id': 314}],\n", + " 'edges': [{'source': 0, 'target': 1, 'weight': 1.0},\n", + " {'source': 0, 'target': 2, 'weight': 1.0},\n", + " {'source': 0, 'target': 3, 'weight': 1.0},\n", + " {'source': 0, 'target': 4, 'weight': 1.0},\n", + " {'source': 0, 'target': 5, 'weight': 1.0},\n", + " {'source': 0, 'target': 6, 'weight': 1.0},\n", + " {'source': 0, 'target': 7, 'weight': 1.0},\n", + " {'source': 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"cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"# Agent Mercer: Context and Role in Operation: Dulce\\n\\nAgent Mercer, also known as Alex Mercer, is a key figure within the Paranormal Military Squad, a specialized unit tasked with engaging in activities related to the paranormal. In the context of Operation: Dulce, a highly secretive mission aimed at establishing contact with extraterrestrial intelligence at the Dulce Military Base in New Mexico, Alex Mercer's role is of paramount importance.\\n\\n## Leadership in Operation: Dulce\\n\\nAlex Mercer serves as the leader of the team involved in Operation: Dulce. The mission's high level of confidentiality and the critical nature of its objectives signify that Mercer's leadership skills are essential to navigating the complexities and challenges posed by the operation. His leadership is crucial in coordinating the diverse skills of team members such as Sam Rivera, Taylor Cruz, and Jordan Hayes, each of whom brings unique expertise to the mission.\\n\\n## Contributions to the Paranormal Military Squad\\n\\nThe Paranormal Military Squad is a specialized unit within the military, created to handle missions that involve phenomena beyond the scope of conventional military operations. Mercer's role within this squad underscores his expertise in dealing with extraordinary challenges, which likely include understanding and interpreting paranormal activities and potential extraterrestrial communications. His ability to lead a team with such a specialized mandate indicates a high level of competency and trust placed in him by military officials.\\n\\n## Impact of the Dulce Military Base\\n\\nThe Dulce Military Base, located in the desolate terrain of New Mexico, serves as the central hub for Operation: Dulce. The base provides the necessary infrastructure and resources for the Paranormal Military Squad. The unsettling atmosphere of the base, combined with New Mexico's unique environmental conditions, adds layers of complexity to the mission, requiring Mercer's steady leadership to maintain team morale and operational focus.\\n\\n## Critical Significance of the Mission\\n\\nThe ultimate goal of Operation: Dulce is to make first contact with extraterrestrial beings, a task of immense scientific and national security significance. Alex Mercer's leadership and decision-making abilities are integral to the success of this endeavor, as the mission's outcomes could potentially reshape humanity’s understanding of the universe. The collective efforts of the team, under Mercer's guidance, aim to overcome the psychological and logistical challenges presented by the mission's extraordinary objectives.\\n\\n## Conclusion\\n\\nIn summary, Agent Alex Mercer is a pivotal figure in the execution of Operation: Dulce, leading a team whose mission could have far-reaching implications for science and national security. His role as a leader within the Paranormal Military Squad highlights his expertise and the critical nature of his contributions to the mission's success.\\n\\n# Agent Alex Mercer's Role in the Paranormal Military Squad\\n\\nAgent Alex Mercer is a key member of the Paranormal Military Squad Team based at Dulce Base. His involvement in the team is multifaceted, emphasizing both the analysis of paranormal activities and the operational aspects of the command center. Mercer demonstrates compliance in the briefing room, indicating his ability to follow protocols strictly and contribute to strategic discussions. His discussions revolving around intuition and trust highlight the psychological dimensions and complexities inherent in their mission.\\n\\nMercer's role becomes even more significant when considering his participation during the first contact event. Observing this critical occurrence underscores his importance to the team and his ability to handle high-stakes situations. Mercer's active engagement and shared concerns with colleagues about the broader implications of their work signify his deep investment in the mission's success and the profound consequences of their findings.\\n\\nFurthermore, Mercer works closely with other team members like Dr. Jordan Hayes, whose pivotal role involves deciphering alien codes and interpreting extraterrestrial patterns. The collaboration between Mercer and Hayes is crucial for managing interspecies communication—an essential task for any potential first contact scenario. Their partnership ensures that both the operational and analytical facets of the mission are covered effectively.\\n\\nThe importance of Mercer's work is augmented by the evolving nature of the Paranormal Military Squad's mission, which has transitioned from mere observation to active engagement and preparation for outreach beyond the stars. The proactive approach of the team highlights the significance of establishing humanity's presence in interstellar affairs. Mercer's position as an integral part of this vanguard illustrates his crucial contribution to one of humanity's most groundbreaking scientific and exploratory endeavors.\\n\\nIn summary, Agent Alex Mercer is a central figure within the Paranormal Military Squad at Dulce Base, whose comprehensive responsibilities and collaboration with colleagues are vital for successfully navigating the complexities of extraterrestrial analysis and first contact protocols.\\n\\n# Alex Mercer's leadership and diplomatic role in extraterrestrial engagement\\n\\nAlex Mercer is recognized as a leader within the Paranormal Military Squad, guiding the team in their mission to establish contact with alien intelligence. Mercer’s leadership is characterized by a diplomatic approach to potential extraterrestrial contact and a focus on strategic planning. Mercer's responsibilities include overseeing the team’s critical operations, ensuring effective communication with extraterrestrial entities, and integrating the efforts of squad members such as Taylor Cruz and Dr. Jordan Hayes.\\n\\nMercer's role is crucial in navigating the complexities of interstellar communication, balancing diplomatic engagement with aliens, and strategic military oversight. The relationship dynamics between Mercer and other team members, including Taylor Cruz and Dr. Jordan Hayes, highlight the collaborative yet complex nature of the squad's hierarchy and decision-making processes. The mutual respect and collaboration between Mercer, Cruz, and Hayes are indicative of their reliance on Mercer’s expertise in leadership and diplomacy.\\n\\nThe Paranormal Military Squad's activities, suspected to involve humanity's first contact with extraterrestrial beings, are central to Mercer's leadership mission. Through Mercer's efforts, the squad aims to establish a dialogue with alien intelligence and explore the potential implications of such contact on humanity’s understanding of the universe. Mercer's diplomatic skills and strategic mindset play a pivotal role in this endeavor, emphasizing the importance of cautious and methodical approaches in potentially high-impact scenarios such as extraterrestrial communication.\\n\\nOverall, Alex Mercer's combination of diplomatic acumen and strategic leadership makes him a key figure in the squad’s operations and interstellar engagement initiatives.\\n\\n\\n# Overview of Alex Mercer in Relation to the Query on Agent Mercer\\n\\nAlex Mercer is a significant figure within the Paranormal Military Squad at Dulce Base. He plays a crucial role as a mentor to other team members, including Sam Rivera, who is instrumental in deciphering and establishing communication with extraterrestrial signals. His mentorship is essential in guiding the team through their mission, providing both wisdom and structural support to the efforts in place.\\n\\nIn the context of the team's dynamics, Alex Mercer works closely with Sam Rivera and other team members such as Taylor Cruz and Jordan Hayes. While Sam Rivera offers technical expertise, Alex Mercer provides strategic oversight and mentorship, ensuring the team remains focused and effective in their mission.\\n\\nThe community summary highlights that the attitude of optimism and intrigue, especially embodied by Sam Rivera, is vital for the success of the mission. Given Alex Mercer's role as a mentor, it is likely that he supports and encourages such an attitude within the team, further enhancing their cohesion and drive towards successful communication with extraterrestrial entities.\\n\\nAlex Mercer's contributions are not detailed extensively in terms of specific technical advancements or innovations, but his role as a mentor suggests that he is deeply involved in the strategic and operational aspects of the mission. This involves guiding the team through unknown territories, fostering a collaborative environment, and possibly offering insights that come from experience in similar high-stakes situations.\\n\\nOverall, while the summary does not provide detailed biographical information about Alex Mercer, it underscores his importance as a guiding figure within the Paranormal Military Squad, highlighting his mentorship and collaboration with key team members.\\n\\n\\n\\n## Key Personnel Driving Dulce Base's Mission\\n\\nIn response to the query 'Who is agent Mercer?', it is essential to focus on key personnel involved in Dulce Base's operations as described in the top-ranked community summaries. Agent Alex Mercer is a pivotal figure at Dulce Base, contributing significantly to its mission of extraterrestrial research and communication. Alex Mercer's role is instrumental in advancing the objectives of Dulce Base, alongside other notable individuals such as Sam Rivera, Taylor Cruz, and Jordan Hayes. These key personnel are responsible for leading the team, engaging in the decryption of alien signals, and ensuring effective responses to extraterrestrial contacts.\\n\\nMercer's expertise and leadership are highlighted as critical to the success of the base's high-stakes operations. These operations include the interception and decryption of alien signals, which are vital for understanding potential extraterrestrial communications. Mercer's involvement in these processes underscores the importance of his role in Dulce Base's day-to-day activities and long-term objectives.\\n\\nFurthermore, Dulce Base's focus on pragmatic oversight and effective management of its operations indicates that Mercer's contributions are not limited to technical tasks but also encompass strategic and operational leadership. His role in the Paranormal Military Squad reflects the high level of importance and sensitivity of the missions conducted at the base, suggesting that Mercer is a key figure in maintaining national and global security as it pertains to extraterrestrial engagement.\\n\\nOverall, agent Alex Mercer is a crucial member of Dulce Base, whose contributions span from technical expertise in decryption to strategic oversight in managing the facility's operations. This makes him an indispensable asset to the overall mission and goals of Dulce Base.\"" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "resp.response[\"nodes\"][0][\"answer\"]" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "graphrag-ta_-cxM1-py3.10", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/examples_notebooks/global_search.ipynb b/docs/examples_notebooks/global_search.ipynb new file mode 100644 index 0000000000..02f8ba63d3 --- /dev/null +++ b/docs/examples_notebooks/global_search.ipynb @@ -0,0 +1,674 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# Copyright (c) 2024 Microsoft Corporation.\n", + "# Licensed under the MIT License." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "import pandas as pd\n", + "import tiktoken\n", + "\n", + "from graphrag.query.indexer_adapters import (\n", + " read_indexer_communities,\n", + " read_indexer_entities,\n", + " read_indexer_reports,\n", + ")\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", + "from graphrag.query.structured_search.global_search.community_context import (\n", + " GlobalCommunityContext,\n", + ")\n", + "from graphrag.query.structured_search.global_search.search import GlobalSearch" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Global Search example\n", + "\n", + "Global search method generates answers by searching over all AI-generated community reports in a map-reduce fashion. This is a resource-intensive method, but often gives good responses for questions that require an understanding of the dataset as a whole (e.g. What are the most significant values of the herbs mentioned in this notebook?)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### LLM setup" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "api_key = os.environ[\"GRAPHRAG_API_KEY\"]\n", + "llm_model = os.environ[\"GRAPHRAG_LLM_MODEL\"]\n", + "\n", + "llm = ChatOpenAI(\n", + " api_key=api_key,\n", + " model=llm_model,\n", + " api_type=OpenaiApiType.OpenAI, # OpenaiApiType.OpenAI or OpenaiApiType.AzureOpenAI\n", + " max_retries=20,\n", + ")\n", + "\n", + "token_encoder = tiktoken.encoding_for_model(llm_model)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load community reports as context for global search\n", + "\n", + "- Load all community reports in the `create_final_community_reports` table from the ire-indexing engine, to be used as context data for global search.\n", + "- Load entities from the `create_final_nodes` and `create_final_entities` tables from the ire-indexing engine, to be used for calculating community weights for context ranking. Note that this is optional (if no entities are provided, we will not calculate community weights and only use the rank attribute in the community reports table for context ranking)\n", + "- Load all communities in the `create_final_communites` table from the ire-indexing engine, to be used to reconstruct the community graph hierarchy for dynamic community selection." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# parquet files generated from indexing pipeline\n", + "INPUT_DIR = \"./inputs/operation dulce\"\n", + "COMMUNITY_TABLE = \"create_final_communities\"\n", + "COMMUNITY_REPORT_TABLE = \"create_final_community_reports\"\n", + "ENTITY_TABLE = \"create_final_nodes\"\n", + "ENTITY_EMBEDDING_TABLE = \"create_final_entities\"\n", + "\n", + "# community level in the Leiden community hierarchy from which we will load the community reports\n", + "# higher value means we use reports from more fine-grained communities (at the cost of higher computation cost)\n", + "COMMUNITY_LEVEL = 2" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total report count: 20\n", + "Report count after filtering by community level 2: 17\n" + ] + }, + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + "\n", + " .dataframe tbody tr th {\n", + " vertical-align: top;\n", + " }\n", + "\n", + " .dataframe thead th {\n", + " text-align: right;\n", + " }\n", + "</style>\n", + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr style=\"text-align: right;\">\n", + " <th></th>\n", + " <th>community</th>\n", + " <th>full_content</th>\n", + " <th>level</th>\n", + " <th>rank</th>\n", + " <th>title</th>\n", + " <th>rank_explanation</th>\n", + " <th>summary</th>\n", + " <th>findings</th>\n", + " <th>full_content_json</th>\n", + " <th>id</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>10</td>\n", + " <td># Paranormal Military Squad at Dulce Base: Dec...</td>\n", + " <td>1</td>\n", + " <td>8.5</td>\n", + " <td>Paranormal Military Squad at Dulce Base: Decod...</td>\n", + " <td>The impact severity rating is high due to the ...</td>\n", + " <td>The Paranormal Military Squad, stationed at Du...</td>\n", + " <td>[{'explanation': 'Jordan is a central figure i...</td>\n", + " <td>{\\n \"title\": \"Paranormal Military Squad at ...</td>\n", + " <td>1ba2d200-dd26-4693-affe-a5539d0a0e0d</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>11</td>\n", + " <td># Dulce and Paranormal Military Squad Operatio...</td>\n", + " <td>1</td>\n", + " <td>8.5</td>\n", + " <td>Dulce and Paranormal Military Squad Operations</td>\n", + " <td>The impact severity rating is high due to the ...</td>\n", + " <td>The community centers around Dulce, a 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Wash...</td>\n", + " <td>The impact severity rating is relatively high ...</td>\n", + " <td>This report explores the intricate dynamics of...</td>\n", + " <td>[{'explanation': 'Cruz is a central figure in ...</td>\n", + " <td>{\\n \"title\": \"Mission Dynamics and Leadersh...</td>\n", + " <td>b56f6e68-3951-4f07-8760-63700944a375</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>14</td>\n", + " <td># Dulce Base and Paranormal Military Squad: Br...</td>\n", + " <td>1</td>\n", + " <td>8.5</td>\n", + " <td>Dulce Base and Paranormal Military Squad: Brid...</td>\n", + " <td>The impact severity rating is high due to the ...</td>\n", + " <td>The community centers around the Dulce Base, a...</td>\n", + " <td>[{'explanation': 'Sam Rivera, a member of the ...</td>\n", + " <td>{\\n \"title\": \"Dulce Base and Paranormal Mil...</td>\n", + " <td>736e7006-d050-4abb-a122-00febf3f540f</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " community full_content level rank \\\n", + "0 10 # Paranormal Military Squad at Dulce Base: Dec... 1 8.5 \n", + "1 11 # Dulce and Paranormal Military Squad Operatio... 1 8.5 \n", + "2 12 # Paranormal Military Squad and Dulce Base Ope... 1 7.5 \n", + "3 13 # Mission Dynamics and Leadership: Cruz and Wa... 1 7.5 \n", + "4 14 # Dulce Base and Paranormal Military Squad: Br... 1 8.5 \n", + "\n", + " title \\\n", + "0 Paranormal Military Squad at Dulce Base: Decod... \n", + "1 Dulce and Paranormal Military Squad Operations \n", + "2 Paranormal Military Squad and Dulce Base Opera... \n", + "3 Mission Dynamics and Leadership: Cruz and Wash... \n", + "4 Dulce Base and Paranormal Military Squad: Brid... \n", + "\n", + " rank_explanation \\\n", + "0 The impact severity rating is high due to the ... \n", + "1 The impact severity rating is high due to the ... \n", + "2 The impact severity rating is relatively high ... \n", + "3 The impact severity rating is relatively high ... \n", + "4 The impact severity rating is high due to the ... \n", + "\n", + " summary \\\n", + "0 The Paranormal Military Squad, stationed at Du... \n", + "1 The community centers around Dulce, a secretiv... \n", + "2 The community centers around the Paranormal Mi... \n", + "3 This report explores the intricate dynamics of... \n", + "4 The community centers around the Dulce Base, a... \n", + "\n", + " findings \\\n", + "0 [{'explanation': 'Jordan is a central figure i... \n", + "1 [{'explanation': 'Dulce is described as a top-... \n", + "2 [{'explanation': 'Taylor is a central figure w... \n", + "3 [{'explanation': 'Cruz is a central figure in ... \n", + "4 [{'explanation': 'Sam Rivera, a member of the ... \n", + "\n", + " full_content_json \\\n", + "0 {\\n \"title\": \"Paranormal Military Squad at ... \n", + "1 {\\n \"title\": \"Dulce and Paranormal Military... \n", + "2 {\\n \"title\": \"Paranormal Military Squad and... \n", + "3 {\\n \"title\": \"Mission Dynamics and Leadersh... \n", + "4 {\\n \"title\": \"Dulce Base and Paranormal Mil... \n", + "\n", + " id \n", + "0 1ba2d200-dd26-4693-affe-a5539d0a0e0d \n", + "1 a8a530b0-ae6b-44ea-b11c-9f70d138298d \n", + "2 0478975b-c805-4cc1-b746-82f3e689e2f3 \n", + "3 b56f6e68-3951-4f07-8760-63700944a375 \n", + "4 736e7006-d050-4abb-a122-00febf3f540f " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "community_df = pd.read_parquet(f\"{INPUT_DIR}/{COMMUNITY_TABLE}.parquet\")\n", + "entity_df = pd.read_parquet(f\"{INPUT_DIR}/{ENTITY_TABLE}.parquet\")\n", + "report_df = pd.read_parquet(f\"{INPUT_DIR}/{COMMUNITY_REPORT_TABLE}.parquet\")\n", + "entity_embedding_df = pd.read_parquet(f\"{INPUT_DIR}/{ENTITY_EMBEDDING_TABLE}.parquet\")\n", + "\n", + "communities = read_indexer_communities(community_df, entity_df, report_df)\n", + "reports = read_indexer_reports(report_df, entity_df, COMMUNITY_LEVEL)\n", + "entities = read_indexer_entities(entity_df, entity_embedding_df, COMMUNITY_LEVEL)\n", + "\n", + "print(f\"Total report count: {len(report_df)}\")\n", + "print(\n", + " f\"Report count after filtering by community level {COMMUNITY_LEVEL}: {len(reports)}\"\n", + ")\n", + "\n", + "report_df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Build global context based on community reports" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "context_builder = GlobalCommunityContext(\n", + " community_reports=reports,\n", + " communities=communities,\n", + " entities=entities, # default to None if you don't want to use community weights for ranking\n", + " token_encoder=token_encoder,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Perform global search" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "context_builder_params = {\n", + " \"use_community_summary\": False, # False means using full community reports. True means using community short summaries.\n", + " \"shuffle_data\": True,\n", + " \"include_community_rank\": True,\n", + " \"min_community_rank\": 0,\n", + " \"community_rank_name\": \"rank\",\n", + " \"include_community_weight\": True,\n", + " \"community_weight_name\": \"occurrence weight\",\n", + " \"normalize_community_weight\": True,\n", + " \"max_tokens\": 12_000, # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000)\n", + " \"context_name\": \"Reports\",\n", + "}\n", + "\n", + "map_llm_params = {\n", + " \"max_tokens\": 1000,\n", + " \"temperature\": 0.0,\n", + " \"response_format\": {\"type\": \"json_object\"},\n", + "}\n", + "\n", + "reduce_llm_params = {\n", + " \"max_tokens\": 2000, # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 1000-1500)\n", + " \"temperature\": 0.0,\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "search_engine = GlobalSearch(\n", + " llm=llm,\n", + " context_builder=context_builder,\n", + " token_encoder=token_encoder,\n", + " max_data_tokens=12_000, # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000)\n", + " map_llm_params=map_llm_params,\n", + " reduce_llm_params=reduce_llm_params,\n", + " allow_general_knowledge=False, # set this to True will add instruction to encourage the LLM to incorporate general knowledge in the response, which may increase hallucinations, but could be useful in some use cases.\n", + " json_mode=True, # set this to False if your LLM model does not support JSON mode.\n", + " context_builder_params=context_builder_params,\n", + " concurrent_coroutines=32,\n", + " response_type=\"multiple paragraphs\", # free form text describing the response type and format, can be anything, e.g. prioritized list, single paragraph, multiple paragraphs, multiple-page report\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "### Overview of Cosmic Vocalization\n", + "\n", + "Cosmic Vocalization is a phenomenon that has garnered significant attention from various individuals and groups. It is perceived as a cosmic event with potential implications for security and interstellar communication. The Paranormal Military Squad is actively engaged with Cosmic Vocalization, indicating its strategic importance in security measures [Data: Reports (6)].\n", + "\n", + "### Key Perspectives and Concerns\n", + "\n", + "1. **Strategic Engagement**: The Paranormal Military Squad's involvement suggests that Cosmic Vocalization is not only a subject of interest but also a matter of strategic importance. This engagement highlights the potential security implications of these cosmic phenomena [Data: Reports (6)].\n", + "\n", + "2. **Community Interest**: Within the community, Cosmic Vocalization is a focal point of interest. Alex Mercer, for instance, perceives it as part of an interstellar duet, which suggests a responsive and perhaps communicative approach to these cosmic events [Data: Reports (6)].\n", + "\n", + "3. **Potential Threats**: Concerns have been raised by individuals like Taylor Cruz, who fears that Cosmic Vocalization might be a homing tune. This perspective adds a layer of urgency and suggests that there may be potential threats associated with these cosmic sounds [Data: Reports (6)].\n", + "\n", + "### Metaphorical Interpretation\n", + "\n", + "The Universe is metaphorically treated as a concert hall by the Paranormal Military Squad, which suggests a broader perspective on how cosmic events are interpreted and responded to by human entities. This metaphorical view may influence how strategies and responses are formulated in relation to Cosmic Vocalization [Data: Reports (6)].\n", + "\n", + "In summary, Cosmic Vocalization is a complex phenomenon involving strategic, communicative, and potentially threatening elements. The involvement of the Paranormal Military Squad and the concerns raised by community members underscore its significance and the need for careful consideration of its implications.\n" + ] + } + ], + "source": [ + "result = await search_engine.asearch(\n", + " \"What is Cosmic Vocalization and who are involved in it?\"\n", + ")\n", + "\n", + "print(result.response)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + "\n", + " .dataframe tbody tr th {\n", + " vertical-align: top;\n", + " }\n", + "\n", + " .dataframe thead th {\n", + " text-align: right;\n", + " }\n", + "</style>\n", + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr style=\"text-align: right;\">\n", + " <th></th>\n", + " <th>id</th>\n", + " <th>title</th>\n", + " <th>occurrence weight</th>\n", + " <th>content</th>\n", + " <th>rank</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>15</td>\n", + " <td>Dulce Base and the Paranormal Military Squad: ...</td>\n", + " <td>1.00</td>\n", + " <td># Dulce Base and the Paranormal Military Squad...</td>\n", + " <td>9.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>11</td>\n", + " <td>Dulce and Paranormal Military Squad Operations</td>\n", + " <td>0.30</td>\n", + " <td># Dulce and Paranormal Military Squad Operatio...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>10</td>\n", + " <td>Paranormal Military Squad at Dulce Base: Decod...</td>\n", + " <td>0.30</td>\n", + " <td># Paranormal Military Squad at Dulce Base: Dec...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>3</th>\n", + " <td>7</td>\n", + " <td>Operation: Dulce and the Paranormal Military S...</td>\n", + " <td>0.20</td>\n", + " <td># Operation: Dulce and the Paranormal Military...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>8</td>\n", + " <td>Dr. Jordan Hayes and the Paranormal Military S...</td>\n", + " <td>0.18</td>\n", + " <td># Dr. Jordan Hayes and the Paranormal Military...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>5</th>\n", + " <td>1</td>\n", + " <td>Earth's Interstellar Communication Initiative</td>\n", + " <td>0.16</td>\n", + " <td># Earth's Interstellar Communication Initiativ...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>6</th>\n", + " <td>12</td>\n", + " <td>Paranormal Military Squad and Dulce Base Opera...</td>\n", + " <td>0.16</td>\n", + " <td># Paranormal Military Squad and Dulce Base Ope...</td>\n", + " <td>7.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>7</th>\n", + " <td>13</td>\n", + " <td>Mission Dynamics and Leadership: Cruz and Wash...</td>\n", + " <td>0.16</td>\n", + " <td># Mission Dynamics and Leadership: Cruz and Wa...</td>\n", + " <td>7.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>8</th>\n", + " <td>14</td>\n", + " <td>Dulce Base and Paranormal Military Squad: Brid...</td>\n", + " <td>0.12</td>\n", + " <td># Dulce Base and Paranormal Military Squad: Br...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>9</th>\n", + " <td>16</td>\n", + " <td>Dulce Military Base and Alien Intelligence Com...</td>\n", + " <td>0.08</td>\n", + " <td># Dulce Military Base and Alien Intelligence C...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>10</th>\n", + " <td>18</td>\n", + " <td>Paranormal Military Squad Team and Dulce Base'...</td>\n", + " <td>0.04</td>\n", + " <td># Paranormal Military Squad Team and Dulce Bas...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>11</th>\n", + " <td>5</td>\n", + " <td>Alien Script and First Contact Operations</td>\n", + " <td>0.02</td>\n", + " <td># Alien Script and First Contact Operations\\n\\...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>12</th>\n", + " <td>4</td>\n", + " <td>Dulce Facility and Control Room of Dulce: Extr...</td>\n", + " <td>0.02</td>\n", + " <td># Dulce Facility and Control Room of Dulce: Ex...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>13</th>\n", + " <td>17</td>\n", + " <td>Dulce Team and Underground Command Center: Int...</td>\n", + " <td>0.02</td>\n", + " <td># Dulce Team and Underground Command Center: I...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>14</th>\n", + " <td>19</td>\n", + " <td>Central Terminal and Viewing Monitors at Dulce...</td>\n", + " <td>0.02</td>\n", + " <td># Central Terminal and Viewing Monitors at Dul...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>15</th>\n", + " <td>6</td>\n", + " <td>Cosmic Vocalization and Universe Interactions</td>\n", + " <td>0.02</td>\n", + " <td># Cosmic Vocalization and Universe Interaction...</td>\n", + " <td>7.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>16</th>\n", + " <td>9</td>\n", + " <td>Dulce Base Exploration by TEAM and MAINFRAME ROOM</td>\n", + " <td>0.02</td>\n", + " <td># Dulce Base Exploration by TEAM and MAINFRAME...</td>\n", + " <td>7.5</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " id title occurrence weight \\\n", + "0 15 Dulce Base and the Paranormal Military Squad: ... 1.00 \n", + "1 11 Dulce and Paranormal Military Squad Operations 0.30 \n", + "2 10 Paranormal Military Squad at Dulce Base: Decod... 0.30 \n", + "3 7 Operation: Dulce and the Paranormal Military S... 0.20 \n", + "4 8 Dr. Jordan Hayes and the Paranormal Military S... 0.18 \n", + "5 1 Earth's Interstellar Communication Initiative 0.16 \n", + "6 12 Paranormal Military Squad and Dulce Base Opera... 0.16 \n", + "7 13 Mission Dynamics and Leadership: Cruz and Wash... 0.16 \n", + "8 14 Dulce Base and Paranormal Military Squad: Brid... 0.12 \n", + "9 16 Dulce Military Base and Alien Intelligence Com... 0.08 \n", + "10 18 Paranormal Military Squad Team and Dulce Base'... 0.04 \n", + "11 5 Alien Script and First Contact Operations 0.02 \n", + "12 4 Dulce Facility and Control Room of Dulce: Extr... 0.02 \n", + "13 17 Dulce Team and Underground Command Center: Int... 0.02 \n", + "14 19 Central Terminal and Viewing Monitors at Dulce... 0.02 \n", + "15 6 Cosmic Vocalization and Universe Interactions 0.02 \n", + "16 9 Dulce Base Exploration by TEAM and MAINFRAME ROOM 0.02 \n", + "\n", + " content rank \n", + "0 # Dulce Base and the Paranormal Military Squad... 9.5 \n", + "1 # Dulce and Paranormal Military Squad Operatio... 8.5 \n", + "2 # Paranormal Military Squad at Dulce Base: Dec... 8.5 \n", + "3 # Operation: Dulce and the Paranormal Military... 8.5 \n", + "4 # Dr. Jordan Hayes and the Paranormal Military... 8.5 \n", + "5 # Earth's Interstellar Communication Initiativ... 8.5 \n", + "6 # Paranormal Military Squad and Dulce Base Ope... 7.5 \n", + "7 # Mission Dynamics and Leadership: Cruz and Wa... 7.5 \n", + "8 # Dulce Base and Paranormal Military Squad: Br... 8.5 \n", + "9 # Dulce Military Base and Alien Intelligence C... 8.5 \n", + "10 # Paranormal Military Squad Team and Dulce Bas... 8.5 \n", + "11 # Alien Script and First Contact Operations\\n\\... 8.5 \n", + "12 # Dulce Facility and Control Room of Dulce: Ex... 8.5 \n", + "13 # Dulce Team and Underground Command Center: I... 8.5 \n", + "14 # Central Terminal and Viewing Monitors at Dul... 8.5 \n", + "15 # Cosmic Vocalization and Universe Interaction... 7.5 \n", + "16 # Dulce Base Exploration by TEAM and MAINFRAME... 7.5 " + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# inspect the data used to build the context for the LLM responses\n", + "result.context_data[\"reports\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LLM calls: 2. Prompt tokens: 11292. Output tokens: 606.\n" + ] + } + ], + "source": [ + "# inspect number of LLM calls and tokens\n", + "print(\n", + " f\"LLM calls: {result.llm_calls}. Prompt tokens: {result.prompt_tokens}. Output tokens: {result.output_tokens}.\"\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "graphrag", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/examples_notebooks/global_search_with_dynamic_community_selection.ipynb b/docs/examples_notebooks/global_search_with_dynamic_community_selection.ipynb new file mode 100644 index 0000000000..5e30fadb88 --- /dev/null +++ b/docs/examples_notebooks/global_search_with_dynamic_community_selection.ipynb @@ -0,0 +1,615 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# Copyright (c) 2024 Microsoft Corporation.\n", + "# Licensed under the MIT License." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "import pandas as pd\n", + "import tiktoken\n", + "\n", + "from graphrag.query.indexer_adapters import (\n", + " read_indexer_communities,\n", + " read_indexer_entities,\n", + " read_indexer_reports,\n", + ")\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", + "from graphrag.query.structured_search.global_search.community_context import (\n", + " GlobalCommunityContext,\n", + ")\n", + "from graphrag.query.structured_search.global_search.search import GlobalSearch" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Global Search example\n", + "\n", + "Global search method generates answers by searching over all AI-generated community reports in a map-reduce fashion. This is a resource-intensive method, but often gives good responses for questions that require an understanding of the dataset as a whole (e.g. What are the most significant values of the herbs mentioned in this notebook?)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### LLM setup" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "api_key = os.environ[\"GRAPHRAG_API_KEY\"]\n", + "llm_model = os.environ[\"GRAPHRAG_LLM_MODEL\"]\n", + "\n", + "llm = ChatOpenAI(\n", + " api_key=api_key,\n", + " model=llm_model,\n", + " api_type=OpenaiApiType.OpenAI, # OpenaiApiType.OpenAI or OpenaiApiType.AzureOpenAI\n", + " max_retries=20,\n", + ")\n", + "\n", + "token_encoder = tiktoken.encoding_for_model(llm_model)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load community reports as context for global search\n", + "\n", + "- Load all community reports in the `create_final_community_reports` table from the ire-indexing engine, to be used as context data for global search.\n", + "- Load entities from the `create_final_nodes` and `create_final_entities` tables from the ire-indexing engine, to be used for calculating community weights for context ranking. Note that this is optional (if no entities are provided, we will not calculate community weights and only use the rank attribute in the community reports table for context ranking)\n", + "- Load all communities in the `create_final_communites` table from the ire-indexing engine, to be used to reconstruct the community graph hierarchy for dynamic community selection." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# parquet files generated from indexing pipeline\n", + "INPUT_DIR = \"./inputs/operation dulce\"\n", + "COMMUNITY_TABLE = \"create_final_communities\"\n", + "COMMUNITY_REPORT_TABLE = \"create_final_community_reports\"\n", + "ENTITY_TABLE = \"create_final_nodes\"\n", + "ENTITY_EMBEDDING_TABLE = \"create_final_entities\"\n", + "\n", + "# we don't fix a specific community level but instead use an agent to dynamicially\n", + "# search through all the community reports to check if they are relevant.\n", + "COMMUNITY_LEVEL = None" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total report count: 20\n", + "Report count after filtering by community level None: 20\n" + ] + }, + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + "\n", + " .dataframe tbody tr th {\n", + " vertical-align: top;\n", + " }\n", + "\n", + " .dataframe thead th {\n", + " text-align: right;\n", + " }\n", + "</style>\n", + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr style=\"text-align: right;\">\n", + " <th></th>\n", + " <th>community</th>\n", + " <th>full_content</th>\n", + " <th>level</th>\n", + " <th>rank</th>\n", + " <th>title</th>\n", + " <th>rank_explanation</th>\n", + " <th>summary</th>\n", + " <th>findings</th>\n", + " <th>full_content_json</th>\n", + " <th>id</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>10</td>\n", + " <td># Paranormal Military Squad at Dulce Base: Dec...</td>\n", + " <td>1</td>\n", + " <td>8.5</td>\n", + " <td>Paranormal Military Squad at Dulce Base: Decod...</td>\n", + " <td>The impact severity rating is high due to the ...</td>\n", + " <td>The Paranormal Military Squad, stationed at Du...</td>\n", + " <td>[{'explanation': 'Jordan is a central figure i...</td>\n", + " <td>{\\n \"title\": \"Paranormal Military Squad at ...</td>\n", + " <td>1ba2d200-dd26-4693-affe-a5539d0a0e0d</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>11</td>\n", + " <td># Dulce and Paranormal Military Squad Operatio...</td>\n", + " <td>1</td>\n", + " <td>8.5</td>\n", + " <td>Dulce and Paranormal Military Squad Operations</td>\n", + " <td>The impact severity rating is high due to the ...</td>\n", + " <td>The community centers around Dulce, a secretiv...</td>\n", + " <td>[{'explanation': 'Dulce is described as a top-...</td>\n", + " <td>{\\n \"title\": \"Dulce and Paranormal Military...</td>\n", + " <td>a8a530b0-ae6b-44ea-b11c-9f70d138298d</td>\n", + " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>12</td>\n", + " <td># Paranormal Military Squad and Dulce Base Ope...</td>\n", + " <td>1</td>\n", + " <td>7.5</td>\n", + " <td>Paranormal Military Squad and Dulce Base Opera...</td>\n", + " <td>The impact severity rating is relatively high ...</td>\n", + " <td>The community centers around the Paranormal Mi...</td>\n", + " <td>[{'explanation': 'Taylor is a central figure w...</td>\n", + " <td>{\\n \"title\": \"Paranormal Military Squad and...</td>\n", + " <td>0478975b-c805-4cc1-b746-82f3e689e2f3</td>\n", + " </tr>\n", + " <tr>\n", + " <th>3</th>\n", + " <td>13</td>\n", + " <td># Mission Dynamics and Leadership: Cruz and Wa...</td>\n", + " <td>1</td>\n", + " <td>7.5</td>\n", + " <td>Mission Dynamics and Leadership: Cruz and Wash...</td>\n", + " <td>The impact severity rating is relatively high ...</td>\n", + " <td>This report explores the intricate dynamics of...</td>\n", + " <td>[{'explanation': 'Cruz is a central figure in ...</td>\n", + " <td>{\\n \"title\": \"Mission Dynamics and Leadersh...</td>\n", + " <td>b56f6e68-3951-4f07-8760-63700944a375</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>14</td>\n", + " <td># Dulce Base and Paranormal Military Squad: Br...</td>\n", + " <td>1</td>\n", + " <td>8.5</td>\n", + " <td>Dulce Base and Paranormal Military Squad: Brid...</td>\n", + " <td>The impact severity rating is high due to the ...</td>\n", + " <td>The community centers around the Dulce Base, a...</td>\n", + " <td>[{'explanation': 'Sam Rivera, a member of the ...</td>\n", + " <td>{\\n \"title\": \"Dulce Base and Paranormal Mil...</td>\n", + " <td>736e7006-d050-4abb-a122-00febf3f540f</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " community full_content level rank \\\n", + "0 10 # Paranormal Military Squad at Dulce Base: Dec... 1 8.5 \n", + "1 11 # Dulce and Paranormal Military Squad Operatio... 1 8.5 \n", + "2 12 # Paranormal Military Squad and Dulce Base Ope... 1 7.5 \n", + "3 13 # Mission Dynamics and Leadership: Cruz and Wa... 1 7.5 \n", + "4 14 # Dulce Base and Paranormal Military Squad: Br... 1 8.5 \n", + "\n", + " title \\\n", + "0 Paranormal Military Squad at Dulce Base: Decod... \n", + "1 Dulce and Paranormal Military Squad Operations \n", + "2 Paranormal Military Squad and Dulce Base Opera... \n", + "3 Mission Dynamics and Leadership: Cruz and Wash... \n", + "4 Dulce Base and Paranormal Military Squad: Brid... \n", + "\n", + " rank_explanation \\\n", + "0 The impact severity rating is high due to the ... \n", + "1 The impact severity rating is high due to the ... \n", + "2 The impact severity rating is relatively high ... \n", + "3 The impact severity rating is relatively high ... \n", + "4 The impact severity rating is high due to the ... \n", + "\n", + " summary \\\n", + "0 The Paranormal Military Squad, stationed at Du... \n", + "1 The community centers around Dulce, a secretiv... \n", + "2 The community centers around the Paranormal Mi... \n", + "3 This report explores the intricate dynamics of... \n", + "4 The community centers around the Dulce Base, a... \n", + "\n", + " findings \\\n", + "0 [{'explanation': 'Jordan is a central figure i... \n", + "1 [{'explanation': 'Dulce is described as a top-... \n", + "2 [{'explanation': 'Taylor is a central figure w... \n", + "3 [{'explanation': 'Cruz is a central figure in ... \n", + "4 [{'explanation': 'Sam Rivera, a member of the ... \n", + "\n", + " full_content_json \\\n", + "0 {\\n \"title\": \"Paranormal Military Squad at ... \n", + "1 {\\n \"title\": \"Dulce and Paranormal Military... \n", + "2 {\\n \"title\": \"Paranormal Military Squad and... \n", + "3 {\\n \"title\": \"Mission Dynamics and Leadersh... \n", + "4 {\\n \"title\": \"Dulce Base and Paranormal Mil... \n", + "\n", + " id \n", + "0 1ba2d200-dd26-4693-affe-a5539d0a0e0d \n", + "1 a8a530b0-ae6b-44ea-b11c-9f70d138298d \n", + "2 0478975b-c805-4cc1-b746-82f3e689e2f3 \n", + "3 b56f6e68-3951-4f07-8760-63700944a375 \n", + "4 736e7006-d050-4abb-a122-00febf3f540f " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "community_df = pd.read_parquet(f\"{INPUT_DIR}/{COMMUNITY_TABLE}.parquet\")\n", + "entity_df = pd.read_parquet(f\"{INPUT_DIR}/{ENTITY_TABLE}.parquet\")\n", + "report_df = pd.read_parquet(f\"{INPUT_DIR}/{COMMUNITY_REPORT_TABLE}.parquet\")\n", + "entity_embedding_df = pd.read_parquet(f\"{INPUT_DIR}/{ENTITY_EMBEDDING_TABLE}.parquet\")\n", + "\n", + "communities = read_indexer_communities(community_df, entity_df, report_df)\n", + "reports = read_indexer_reports(\n", + " report_df,\n", + " entity_df,\n", + " community_level=COMMUNITY_LEVEL,\n", + " dynamic_community_selection=True,\n", + ")\n", + "entities = read_indexer_entities(\n", + " entity_df, entity_embedding_df, community_level=COMMUNITY_LEVEL\n", + ")\n", + "\n", + "print(f\"Total report count: {len(report_df)}\")\n", + "print(\n", + " f\"Report count after filtering by community level {COMMUNITY_LEVEL}: {len(reports)}\"\n", + ")\n", + "\n", + "report_df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Build global context with dynamic community selection\n", + "\n", + "The goal of dynamic community selection reduce the number of community reports that need to be processed in the map-reduce operation. To that end, we take advantage of the hierachical structure of the indexed dataset. We first ask the LLM to rate how relevant each level 0 community is with respect to the user query, we then traverse down the child node(s) if the current community report is deemed relevant.\n", + "\n", + "You can still set a `COMMUNITY_LEVEL` to filter out lower level community reports and apply dynamic community selection on the filtered reports.\n", + "\n", + "Note that the dataset is quite small, with only consist of 20 communities from 2 levels (level 0 and 1). Dynamic community selection is more effective when there are large amount of content to be filtered out." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "mini_llm = ChatOpenAI(\n", + " api_key=api_key,\n", + " model=\"gpt-4o-mini\",\n", + " api_type=OpenaiApiType.OpenAI, # OpenaiApiType.OpenAI or OpenaiApiType.AzureOpenAI\n", + " max_retries=20,\n", + ")\n", + "mini_token_encoder = tiktoken.encoding_for_model(mini_llm.model)\n", + "\n", + "context_builder = GlobalCommunityContext(\n", + " community_reports=reports,\n", + " communities=communities,\n", + " entities=entities, # default to None if you don't want to use community weights for ranking\n", + " token_encoder=token_encoder,\n", + " dynamic_community_selection=True,\n", + " dynamic_community_selection_kwargs={\n", + " \"llm\": mini_llm,\n", + " \"token_encoder\": mini_token_encoder,\n", + " },\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Perform global search with dynamic community selection" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "context_builder_params = {\n", + " \"use_community_summary\": False, # False means using full community reports. True means using community short summaries.\n", + " \"shuffle_data\": True,\n", + " \"include_community_rank\": True,\n", + " \"min_community_rank\": 0,\n", + " \"community_rank_name\": \"rank\",\n", + " \"include_community_weight\": True,\n", + " \"community_weight_name\": \"occurrence weight\",\n", + " \"normalize_community_weight\": True,\n", + " \"max_tokens\": 12_000, # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000)\n", + " \"context_name\": \"Reports\",\n", + "}\n", + "\n", + "map_llm_params = {\n", + " \"max_tokens\": 1000,\n", + " \"temperature\": 0.0,\n", + " \"response_format\": {\"type\": \"json_object\"},\n", + "}\n", + "\n", + "reduce_llm_params = {\n", + " \"max_tokens\": 2000, # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 1000-1500)\n", + " \"temperature\": 0.0,\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "search_engine = GlobalSearch(\n", + " llm=llm,\n", + " context_builder=context_builder,\n", + " token_encoder=token_encoder,\n", + " max_data_tokens=12_000, # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000)\n", + " map_llm_params=map_llm_params,\n", + " reduce_llm_params=reduce_llm_params,\n", + " allow_general_knowledge=False, # set this to True will add instruction to encourage the LLM to incorporate general knowledge in the response, which may increase hallucinations, but could be useful in some use cases.\n", + " json_mode=True, # set this to False if your LLM model does not support JSON mode.\n", + " context_builder_params=context_builder_params,\n", + " concurrent_coroutines=32,\n", + " response_type=\"multiple paragraphs\", # free form text describing the response type and format, can be anything, e.g. prioritized list, single paragraph, multiple paragraphs, multiple-page report\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "### Overview of Cosmic Vocalization\n", + "\n", + "Cosmic Vocalization is a phenomenon that has captured the attention of various individuals and groups, becoming a focal point for community interest. It is perceived as a significant cosmic event, with interpretations ranging from a strategic security concern to a metaphorical interstellar duet [Data: Reports (6)].\n", + "\n", + "### Key Stakeholders and Perspectives\n", + "\n", + "1. **Paranormal Military Squad**: This group is actively engaged with Cosmic Vocalization, treating it as a strategic element in their security measures. Their involvement underscores the importance of Cosmic Vocalization in broader security contexts. They metaphorically view the Universe as a concert hall, suggesting a unique perspective on cosmic events and their implications for human entities [Data: Reports (6)].\n", + "\n", + "2. **Alex Mercer**: Alex Mercer perceives Cosmic Vocalization as part of an interstellar duet, indicating a responsive and perhaps artistic approach to understanding these cosmic phenomena. This perspective highlights the diverse interpretations and cultural significance attributed to Cosmic Vocalization [Data: Reports (6)].\n", + "\n", + "3. **Taylor Cruz**: Taylor Cruz expresses concerns about Cosmic Vocalization, fearing it might serve as a homing tune. This perspective introduces a layer of urgency and potential threat, suggesting that Cosmic Vocalization could have implications beyond mere observation, possibly affecting security or existential considerations [Data: Reports (6)].\n", + "\n", + "### Implications\n", + "\n", + "The involvement of these stakeholders and their varied perspectives on Cosmic Vocalization illustrate the complexity and multifaceted nature of this phenomenon. It is not only a subject of scientific and strategic interest but also a cultural and existential topic that prompts diverse interpretations and responses. The strategic engagement by the Paranormal Military Squad and the concerns raised by individuals like Taylor Cruz highlight the potential significance of Cosmic Vocalization in both security and broader cosmic contexts [Data: Reports (6)].\n" + ] + } + ], + "source": [ + "result = await search_engine.asearch(\n", + " \"What is Cosmic Vocalization and who are involved in it?\"\n", + ")\n", + "\n", + "print(result.response)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + "\n", + " .dataframe tbody tr th {\n", + " vertical-align: top;\n", + " }\n", + "\n", + " .dataframe thead th {\n", + " text-align: right;\n", + " }\n", + "</style>\n", + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr style=\"text-align: right;\">\n", + " <th></th>\n", + " <th>id</th>\n", + " <th>title</th>\n", + " <th>occurrence weight</th>\n", + " <th>content</th>\n", + " <th>rank</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>15</td>\n", + " <td>Dulce Base and the Paranormal Military Squad: ...</td>\n", + " <td>1.00</td>\n", + " <td># Dulce Base and the Paranormal Military Squad...</td>\n", + " <td>9.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>1</td>\n", + " <td>Earth's Interstellar Communication Initiative</td>\n", + " <td>0.16</td>\n", + " <td># Earth's Interstellar Communication Initiativ...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>16</td>\n", + " <td>Dulce Military Base and Alien Intelligence Com...</td>\n", + " <td>0.08</td>\n", + " <td># Dulce Military Base and Alien Intelligence C...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>3</th>\n", + " <td>18</td>\n", + " <td>Paranormal Military Squad Team and Dulce Base'...</td>\n", + " <td>0.04</td>\n", + " <td># Paranormal Military Squad Team and Dulce Bas...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>19</td>\n", + " <td>Central Terminal and Viewing Monitors at Dulce...</td>\n", + " <td>0.02</td>\n", + " <td># Central Terminal and Viewing Monitors at Dul...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>5</th>\n", + " <td>4</td>\n", + " <td>Dulce Facility and Control Room of Dulce: Extr...</td>\n", + " <td>0.02</td>\n", + " <td># Dulce Facility and Control Room of Dulce: Ex...</td>\n", + " <td>8.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>6</th>\n", + " <td>6</td>\n", + " <td>Cosmic Vocalization and Universe Interactions</td>\n", + " <td>0.02</td>\n", + " <td># Cosmic Vocalization and Universe Interaction...</td>\n", + " <td>7.5</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " id title occurrence weight \\\n", + "0 15 Dulce Base and the Paranormal Military Squad: ... 1.00 \n", + "1 1 Earth's Interstellar Communication Initiative 0.16 \n", + "2 16 Dulce Military Base and Alien Intelligence Com... 0.08 \n", + "3 18 Paranormal Military Squad Team and Dulce Base'... 0.04 \n", + "4 19 Central Terminal and Viewing Monitors at Dulce... 0.02 \n", + "5 4 Dulce Facility and Control Room of Dulce: Extr... 0.02 \n", + "6 6 Cosmic Vocalization and Universe Interactions 0.02 \n", + "\n", + " content rank \n", + "0 # Dulce Base and the Paranormal Military Squad... 9.5 \n", + "1 # Earth's Interstellar Communication Initiativ... 8.5 \n", + "2 # Dulce Military Base and Alien Intelligence C... 8.5 \n", + "3 # Paranormal Military Squad Team and Dulce Bas... 8.5 \n", + "4 # Central Terminal and Viewing Monitors at Dul... 8.5 \n", + "5 # Dulce Facility and Control Room of Dulce: Ex... 8.5 \n", + "6 # Cosmic Vocalization and Universe Interaction... 7.5 " + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# inspect the data used to build the context for the LLM responses\n", + "result.context_data[\"reports\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Build context (gpt-4o-mini)\n", + "LLM calls: 12. Prompt tokens: 8565. Output tokens: 1091.\n", + "Map-reduce (gpt-4o)\n", + "LLM calls: 2. Prompt tokens: 5771. Output tokens: 600.\n" + ] + } + ], + "source": [ + "# inspect number of LLM calls and tokens in dynamic community selection\n", + "llm_calls = result.llm_calls_categories[\"build_context\"]\n", + "prompt_tokens = result.prompt_tokens_categories[\"build_context\"]\n", + "output_tokens = result.output_tokens_categories[\"build_context\"]\n", + "print(\n", + " f\"Build context ({mini_llm.model})\\nLLM calls: {llm_calls}. Prompt tokens: {prompt_tokens}. Output tokens: {output_tokens}.\"\n", + ")\n", + "# inspect number of LLM calls and tokens in map-reduce\n", + "llm_calls = result.llm_calls_categories[\"map\"] + result.llm_calls_categories[\"reduce\"]\n", + "prompt_tokens = (\n", + " result.prompt_tokens_categories[\"map\"] + result.prompt_tokens_categories[\"reduce\"]\n", + ")\n", + "output_tokens = (\n", + " result.output_tokens_categories[\"map\"] + result.output_tokens_categories[\"reduce\"]\n", + ")\n", + "print(\n", + " f\"Map-reduce ({llm.model})\\nLLM calls: {llm_calls}. Prompt tokens: {prompt_tokens}. Output tokens: {output_tokens}.\"\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "graphrag", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples_notebooks/inputs/operation dulce/ABOUT.md b/docs/examples_notebooks/inputs/operation dulce/ABOUT.md similarity index 100% rename from examples_notebooks/inputs/operation dulce/ABOUT.md rename to docs/examples_notebooks/inputs/operation dulce/ABOUT.md diff --git a/examples_notebooks/inputs/operation dulce/Operation Dulce v2 1 1.md b/docs/examples_notebooks/inputs/operation dulce/Operation Dulce v2 1 1.md similarity index 100% rename from examples_notebooks/inputs/operation dulce/Operation Dulce v2 1 1.md rename to docs/examples_notebooks/inputs/operation dulce/Operation Dulce v2 1 1.md diff --git a/docs/examples_notebooks/inputs/operation dulce/create_final_communities.parquet b/docs/examples_notebooks/inputs/operation dulce/create_final_communities.parquet new file mode 100644 index 0000000000..0f367574a3 Binary files /dev/null and b/docs/examples_notebooks/inputs/operation dulce/create_final_communities.parquet differ diff --git a/docs/examples_notebooks/inputs/operation dulce/create_final_community_reports.parquet b/docs/examples_notebooks/inputs/operation dulce/create_final_community_reports.parquet new file mode 100644 index 0000000000..b85be4c3d8 Binary files /dev/null and b/docs/examples_notebooks/inputs/operation dulce/create_final_community_reports.parquet differ diff --git a/docs/examples_notebooks/inputs/operation dulce/create_final_covariates.parquet b/docs/examples_notebooks/inputs/operation dulce/create_final_covariates.parquet new file mode 100644 index 0000000000..4926a47efb Binary files /dev/null and b/docs/examples_notebooks/inputs/operation dulce/create_final_covariates.parquet differ diff --git a/docs/examples_notebooks/inputs/operation dulce/create_final_entities.parquet b/docs/examples_notebooks/inputs/operation dulce/create_final_entities.parquet new file mode 100644 index 0000000000..d350fff61d Binary files /dev/null and b/docs/examples_notebooks/inputs/operation dulce/create_final_entities.parquet differ diff --git a/docs/examples_notebooks/inputs/operation dulce/create_final_nodes.parquet b/docs/examples_notebooks/inputs/operation dulce/create_final_nodes.parquet new file mode 100644 index 0000000000..3b28884de5 Binary files /dev/null and b/docs/examples_notebooks/inputs/operation dulce/create_final_nodes.parquet differ diff --git a/docs/examples_notebooks/inputs/operation dulce/create_final_relationships.parquet b/docs/examples_notebooks/inputs/operation dulce/create_final_relationships.parquet new file mode 100644 index 0000000000..37f7b1c07c Binary files /dev/null and b/docs/examples_notebooks/inputs/operation dulce/create_final_relationships.parquet differ diff --git a/docs/examples_notebooks/inputs/operation dulce/create_final_text_units.parquet b/docs/examples_notebooks/inputs/operation dulce/create_final_text_units.parquet new file mode 100644 index 0000000000..a94120c4a8 Binary files /dev/null and b/docs/examples_notebooks/inputs/operation dulce/create_final_text_units.parquet differ diff --git a/examples_notebooks/local_search.ipynb b/docs/examples_notebooks/local_search.ipynb similarity index 97% rename from examples_notebooks/local_search.ipynb rename to docs/examples_notebooks/local_search.ipynb index 3f1633373c..8f9afb3504 100644 --- a/examples_notebooks/local_search.ipynb +++ b/docs/examples_notebooks/local_search.ipynb @@ -108,7 +108,7 @@ "# load description embeddings to an in-memory lancedb vectorstore\n", "# to connect to a remote db, specify url and port values.\n", "description_embedding_store = LanceDBVectorStore(\n", - " collection_name=\"entity_description_embeddings\",\n", + " collection_name=\"default-entity-description\",\n", ")\n", "description_embedding_store.connect(db_uri=LANCEDB_URI)\n", "entity_description_embeddings = store_entity_semantic_embeddings(\n", @@ -145,6 +145,8 @@ "metadata": {}, "outputs": [], "source": [ + "# NOTE: covariates are turned off by default, because they generally need prompt tuning to be valuable\n", + "# Please see the GRAPHRAG_CLAIM_* settings\n", "covariate_df = pd.read_parquet(f\"{INPUT_DIR}/{COVARIATE_TABLE}.parquet\")\n", "\n", "claims = read_indexer_covariates(covariate_df)\n", @@ -240,6 +242,7 @@ " text_units=text_units,\n", " entities=entities,\n", " relationships=relationships,\n", + " # if you did not run covariates during indexing, set this to None\n", " covariates=covariates,\n", " entity_text_embeddings=description_embedding_store,\n", " embedding_vectorstore_key=EntityVectorStoreKey.ID, # if the vectorstore uses entity title as ids, set this to EntityVectorStoreKey.TITLE\n", diff --git a/docsite/posts/get_started.md b/docs/get_started.md similarity index 63% rename from docsite/posts/get_started.md rename to docs/get_started.md index f2c0e7fbf0..4eb2f2887f 100644 --- a/docsite/posts/get_started.md +++ b/docs/get_started.md @@ -1,9 +1,4 @@ ---- -title: Get Started -navtitle: Get started -layout: page -tags: [post] ---- +# Getting Started ## Requirements @@ -13,7 +8,7 @@ To get started with the GraphRAG system, you have a few options: 👉 [Use the GraphRAG Accelerator solution](https://github.com/Azure-Samples/graphrag-accelerator) <br/> 👉 [Install from pypi](https://pypi.org/project/graphrag/). <br/> -👉 [Use it from source](/posts/developing)<br/> +👉 [Use it from source](developing.md)<br/> ## Quickstart @@ -21,8 +16,8 @@ To get started with the GraphRAG system we recommend trying the [Solution Accele # Top-Level Modules -[Indexing Pipeline Overview](/posts/index/overview)<br/> -[Query Engine Overview](/posts/query/overview) +* [Indexing Pipeline Overview](index/overview.md) +* [Query Engine Overview](query/overview.md) # Overview @@ -35,9 +30,11 @@ It shows how to use the system to index some text, and then use the indexed data pip install graphrag ``` +The graphrag library includes a CLI for a no-code approach to getting started. Please review the full [CLI documentation](cli.md) for further detail. + # Running the Indexer -Now we need to set up a data project and some initial configuration. Let's set that up. We're using the [default configuration mode](/posts/config/overview/), which you can customize as needed using a [config file](/posts/config/json_yaml/), which we recommend, or [environment variables](/posts/config/env_vars/). +Now we need to set up a data project and some initial configuration. Let's set that up. We're using the [default configuration mode](config/overview.md), which you can customize as needed using a [config file](config/yaml.md), which we recommend, or [environment variables](config/env_vars.md). First let's get a sample dataset ready: @@ -48,32 +45,32 @@ mkdir -p ./ragtest/input Now let's get a copy of A Christmas Carol by Charles Dickens from a trusted source ```sh -curl https://www.gutenberg.org/cache/epub/24022/pg24022.txt > ./ragtest/input/book.txt +curl https://www.gutenberg.org/cache/epub/24022/pg24022.txt -o ./ragtest/input/book.txt ``` Next we'll inject some required config variables: ## Set Up Your Workspace Variables -First let's make sure to setup the required environment variables. For details on these environment variables, and what environment variables are available, see the [variables documentation](/posts/config/overview/). +First let's make sure to setup the required environment variables. For details on these environment variables, and what environment variables are available, see the [variables documentation](config/overview.md). -To initialize your workspace, let's first run the `graphrag.index --init` command. -Since we have already configured a directory named \.ragtest` in the previous step, we can run the following command: +To initialize your workspace, first run the `graphrag init` command. +Since we have already configured a directory named `./ragtest` in the previous step, run the following command: ```sh -python -m graphrag.index --init --root ./ragtest +graphrag init --root ./ragtest ``` This will create two files: `.env` and `settings.yaml` in the `./ragtest` directory. - `.env` contains the environment variables required to run the GraphRAG pipeline. If you inspect the file, you'll see a single environment variable defined, - `GRAPHRAG_API_KEY=<API_KEY>`. This is the API key for the OpenAI API or Azure OpenAI endpoint. You can replace this with your own API key. + `GRAPHRAG_API_KEY=<API_KEY>`. This is the API key for the OpenAI API or Azure OpenAI endpoint. You can replace this with your own API key. If you are using another form of authentication (i.e. managed identity), please delete this file. - `settings.yaml` contains the settings for the pipeline. You can modify this file to change the settings for the pipeline. <br/> #### <ins>OpenAI and Azure OpenAI</ins> -To run in OpenAI mode, just make sure to update the value of `GRAPHRAG_API_KEY` in the `.env` file with your OpenAI API key. +If running in OpenAI mode, update the value of `GRAPHRAG_API_KEY` in the `.env` file with your OpenAI API key. #### <ins>Azure OpenAI</ins> @@ -86,22 +83,22 @@ api_version: 2024-02-15-preview # You can customize this for other versions deployment_name: <azure_model_deployment_name> ``` -- For more details about configuring GraphRAG, see the [configuration documentation](/posts/config/overview/). -- To learn more about Initialization, refer to the [Initialization documentation](/posts/config/init/). -- For more details about using the CLI, refer to the [CLI documentation](/posts/query/3-cli/). +- For more details about configuring GraphRAG, see the [configuration documentation](config/overview.md). +- To learn more about Initialization, refer to the [Initialization documentation](config/init.md). +- For more details about using the CLI, refer to the [CLI documentation](cli.md). ## Running the Indexing pipeline Finally we'll run the pipeline! ```sh -python -m graphrag.index --root ./ragtest +graphrag index --root ./ragtest ``` -![pipeline executing from the CLI](/img/pipeline-running.png) +![pipeline executing from the CLI](img/pipeline-running.png) -This process will take some time to run. This depends on the size of your input data, what model you're using, and the text chunk size being used (these can be configured in your `.env` file). -Once the pipeline is complete, you should see a new folder called `./ragtest/output/<timestamp>/artifacts` with a series of parquet files. +This process will take some time to run. This depends on the size of your input data, what model you're using, and the text chunk size being used (these can be configured in your `settings.yml` file). +Once the pipeline is complete, you should see a new folder called `./ragtest/output` with a series of parquet files. # Using the Query Engine @@ -112,19 +109,22 @@ Now let's ask some questions using this dataset. Here is an example using Global search to ask a high-level question: ```sh -python -m graphrag.query \ +graphrag query \ --root ./ragtest \ --method global \ -"What are the top themes in this story?" +--query "What are the top themes in this story?" ``` Here is an example using Local search to ask a more specific question about a particular character: ```sh -python -m graphrag.query \ +graphrag query \ --root ./ragtest \ --method local \ -"Who is Scrooge, and what are his main relationships?" +--query "Who is Scrooge and what are his main relationships?" ``` -Please refer to [Query Engine](/posts/query/overview) docs for detailed information about how to leverage our Local and Global search mechanisms for extracting meaningful insights from data after the Indexer has wrapped up execution. +Please refer to [Query Engine](query/overview.md) docs for detailed information about how to leverage our Local and Global search mechanisms for extracting meaningful insights from data after the Indexer has wrapped up execution. + +# Visualizing the Graph +Check out our [visualization guide](visualization_guide.md) for a more interactive experience in debugging and exploring the knowledge graph. diff --git a/docsite/img/GraphRag-Figure1.jpg b/docs/img/GraphRag-Figure1.jpg similarity index 100% rename from docsite/img/GraphRag-Figure1.jpg rename to docs/img/GraphRag-Figure1.jpg diff --git a/docs/img/auto-tune-diagram.png b/docs/img/auto-tune-diagram.png new file mode 100644 index 0000000000..acbd42eba9 Binary files /dev/null and b/docs/img/auto-tune-diagram.png differ diff --git a/docs/img/drift-search-diagram.png b/docs/img/drift-search-diagram.png new file mode 100644 index 0000000000..6a7cd5c246 Binary files /dev/null and b/docs/img/drift-search-diagram.png differ diff --git a/docsite/img/pipeline-running.png b/docs/img/pipeline-running.png similarity index 100% rename from docsite/img/pipeline-running.png rename to docs/img/pipeline-running.png diff --git a/docs/img/viz_guide/gephi-appearance-pane.png b/docs/img/viz_guide/gephi-appearance-pane.png new file mode 100644 index 0000000000..0275b4f470 Binary files /dev/null and b/docs/img/viz_guide/gephi-appearance-pane.png differ diff --git a/docs/img/viz_guide/gephi-initial-graph-example.png b/docs/img/viz_guide/gephi-initial-graph-example.png new file mode 100644 index 0000000000..6e60c60b1e Binary files /dev/null and b/docs/img/viz_guide/gephi-initial-graph-example.png differ diff --git a/docs/img/viz_guide/gephi-layout-forceatlas2-pane.png b/docs/img/viz_guide/gephi-layout-forceatlas2-pane.png new file mode 100644 index 0000000000..23bdc5bb15 Binary files /dev/null and b/docs/img/viz_guide/gephi-layout-forceatlas2-pane.png differ diff --git a/docs/img/viz_guide/gephi-layout-pane.png b/docs/img/viz_guide/gephi-layout-pane.png new file mode 100644 index 0000000000..5dd58dcffd Binary files /dev/null and b/docs/img/viz_guide/gephi-layout-pane.png differ diff --git a/docs/img/viz_guide/gephi-network-overview-settings.png b/docs/img/viz_guide/gephi-network-overview-settings.png new file mode 100644 index 0000000000..03776de7d6 Binary files /dev/null and b/docs/img/viz_guide/gephi-network-overview-settings.png differ diff --git a/docsite/index.md b/docs/index.md similarity index 86% rename from docsite/index.md rename to docs/index.md index 36cee4b310..b50111b5e0 100644 --- a/docsite/index.md +++ b/docs/index.md @@ -1,11 +1,7 @@ ---- -title: Welcome to GraphRAG -layout: page ---- +# Welcome to GraphRAG 👉 [Microsoft Research Blog Post](https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/) <br/> 👉 [GraphRAG Accelerator](https://github.com/Azure-Samples/graphrag-accelerator) <br/> -👉 [GitHub Repository](https://github.com/microsoft/graphrag)<br/> 👉 [GraphRAG Arxiv](https://arxiv.org/pdf/2404.16130) <p align="center"> @@ -26,8 +22,8 @@ To quickstart the GraphRAG system we recommend trying the [Solution Accelerator] ## Get Started with GraphRAG 🚀 -To start using GraphRAG, check out the [_Get Started_](posts/get_started) guide. -For a deeper dive into the main sub-systems, please visit the docpages for the [Indexer](posts/index/overview) and [Query](posts/query/overview) packages. +To start using GraphRAG, check out the [_Get Started_](get_started.md) guide. +For a deeper dive into the main sub-systems, please visit the docpages for the [Indexer](index/overview.md) and [Query](query/overview.md) packages. ## GraphRAG vs Baseline RAG 🔍 @@ -53,10 +49,11 @@ GraphRAG builds upon our prior [research](https://www.microsoft.com/en-us/workla At query time, these structures are used to provide materials for the LLM context window when answering a question. The primary query modes are: -- [_Global Search_](posts/query/0-global_search) for reasoning about holistic questions about the corpus by leveraging the community summaries. -- [_Local Search_](posts/query/1-local_search) for reasoning about specific entities by fanning-out to their neighbors and associated concepts. +- [_Global Search_](query/global_search.md) for reasoning about holistic questions about the corpus by leveraging the community summaries. +- [_Local Search_](query/local_search.md) for reasoning about specific entities by fanning-out to their neighbors and associated concepts. +- [_DRIFT Search_](query/drift_search.md) for reasoning about specific entities by fanning-out to their neighbors and associated concepts, but with the added context of community information. ### Prompt Tuning Using _GraphRAG_ with your data out of the box may not yield the best possible results. -We strongly recommend to fine-tune your prompts following the [Prompt Tuning Guide](posts/prompt_tuning/overview/) in our documentation. +We strongly recommend to fine-tune your prompts following the [Prompt Tuning Guide](prompt_tuning/overview.md) in our documentation. diff --git a/docsite/posts/index/0-architecture.md b/docs/index/architecture.md similarity index 93% rename from docsite/posts/index/0-architecture.md rename to docs/index/architecture.md index 4826bdabb2..12c6015012 100644 --- a/docsite/posts/index/0-architecture.md +++ b/docs/index/architecture.md @@ -1,10 +1,4 @@ ---- -title: Indexing Architecture -navtitle: Architecture -tags: [post, indexing] -layout: page -date: 2023-01-01 ---- +# Indexing Architecture ## Key Concepts @@ -52,10 +46,8 @@ stateDiagram-v2 Chunk --> ExtractGraph Chunk --> EmbedDocuments ExtractGraph --> GenerateReports + ExtractGraph --> EmbedEntities ExtractGraph --> EmbedGraph - EntityResolution --> EmbedGraph - EntityResolution --> GenerateReports - ExtractGraph --> EntityResolution ``` ### Dataframe Message Format @@ -67,7 +59,7 @@ Our underlying dataframe technology may change over time, but our primary goal i ### LLM Caching -The GraphRAG library was designed with LLM interactions in mind, and a common setback when working with LLM APIs is various errors errors due to network latency, throttling, etc.. +The GraphRAG library was designed with LLM interactions in mind, and a common setback when working with LLM APIs is various errors due to network latency, throttling, etc.. Because of these potential error cases, we've added a cache layer around LLM interactions. When completion requests are made using the same input set (prompt and tuning parameters), we return a cached result if one exists. This allows our indexer to be more resilient to network issues, to act idempotently, and to provide a more efficient end-user experience. diff --git a/docsite/posts/index/1-default_dataflow.md b/docs/index/default_dataflow.md similarity index 88% rename from docsite/posts/index/1-default_dataflow.md rename to docs/index/default_dataflow.md index 1b8d135dab..1397d8d85f 100644 --- a/docsite/posts/index/1-default_dataflow.md +++ b/docs/index/default_dataflow.md @@ -1,10 +1,4 @@ ---- -title: Indexing Dataflow -navtitle: Dataflow -layout: page -tags: [post, indexing] -date: 2023-01-02 ---- +# Indexing Dataflow ## The GraphRAG Knowledge Model @@ -15,12 +9,13 @@ The knowledge model is a specification for data outputs that conform to our data - `Entity` - An entity extracted from a TextUnit. These represent people, places, events, or some other entity-model that you provide. - `Relationship` - A relationship between two entities. These are generated from the covariates. - `Covariate` - Extracted claim information, which contains statements about entities which may be time-bound. -- `Community Report` - Once entities are generated, we perform hierarchical community detection on them and generate reports for each community in this hierarchy. +- `Community` - Once the graph of entities and relationships is built, we perform hierarchical community detection on them to create a clustering structure. +- `Community Report` - The contents of each community are summarized into a generated report, useful for human reading and downstream search. - `Node` - This table contains layout information for rendered graph-views of the Entities and Documents which have been embedded and clustered. ## The Default Configuration Workflow -Let's take a look at how the default-configuration workflow transforms text documents into the _GraphRAG Knowledge Model_. This page gives a general overview of the major steps in this process. To fully configure this workflow, check out the [configuration](/posts/config/overview/) documentation. +Let's take a look at how the default-configuration workflow transforms text documents into the _GraphRAG Knowledge Model_. This page gives a general overview of the major steps in this process. To fully configure this workflow, check out the [configuration](../config/overview.md) documentation. ```mermaid --- @@ -34,8 +29,7 @@ flowchart TB subgraph phase2[Phase 2: Graph Extraction] textUnits --> graph_extract[Entity & Relationship Extraction] graph_extract --> graph_summarize[Entity & Relationship Summarization] - graph_summarize --> entity_resolve[Entity Resolution] - entity_resolve --> claim_extraction[Claim Extraction] + graph_summarize --> claim_extraction[Claim Extraction] claim_extraction --> graph_outputs[Graph Tables] end subgraph phase3[Phase 3: Graph Augmentation] @@ -95,7 +89,7 @@ Entities and Relationships are extracted at once in our _entity_extract_ verb, a title: Graph Extraction --- flowchart LR - tu[TextUnit] --> ge[Graph Extraction] --> gs[Graph Summarization] --> er[Entity Resolution] + tu[TextUnit] --> ge[Graph Extraction] --> gs[Graph Summarization] tu --> ce[Claim Extraction] ``` @@ -109,18 +103,12 @@ These subgraphs are merged together - any entities with the same _name_ and _typ Now that we have a graph of entities and relationships, each with a list of descriptions, we can summarize these lists into a single description per entity and relationship. This is done by asking the LLM for a short summary that captures all of the distinct information from each description. This allows all of our entities and relationships to have a single concise description. -### Entity Resolution (Not Enabled by Default) - -The final step of graph extraction is to resolve any entities that represent the same real-world entity but but have different names. Since this is done via LLM, and we don't want to lose information, we want to take a conservative, non-destructive approach to this. - -Our current implementation of Entity Resolution, however, is destructive. It will provide the LLM with a series of entities and ask it to determine which ones should be merged. Those entities are then merged together into a single entity and their relationships are updated. - -We are currently exploring other entity resolution techniques. In the near future, entity resolution will be executed by creating an edge between entity variants indicating that the entities have been resolved by the indexing engine. This will allow for end-users to undo indexing-side resolutions, and add their own non-destructive resolutions using a similar process. - ### Claim Extraction & Emission Finally, as an independent workflow, we extract claims from the source TextUnits. These claims represent positive factual statements with an evaluated status and time-bounds. These are emitted as a primary artifact called **Covariates**. +Note: claim extraction is _optional_ and turned off by default. This is because claim extraction generally needs prompt tuning to be useful. + ## Phase 3: Graph Augmentation Now that we have a usable graph of entities and relationships, we want to understand their community structure and augment the graph with additional information. This is done in two steps: _Community Detection_ and _Graph Embedding_. These give us explicit (communities) and implicit (embeddings) ways of understanding the topological structure of our graph. @@ -189,7 +177,7 @@ flowchart LR ### Augment with Columns (CSV Only) -If the workflow is operating on CSV data, you may configure your workflow to add additional fields to Documents output. These fields should exist on the incoming CSV tables. Details about configuring this can be found in the [configuration documentation](/posts/config/overview/). +If the workflow is operating on CSV data, you may configure your workflow to add additional fields to Documents output. These fields should exist on the incoming CSV tables. Details about configuring this can be found in the [configuration documentation](../config/overview.md). ### Link to TextUnits diff --git a/docs/index/outputs.md b/docs/index/outputs.md new file mode 100644 index 0000000000..a5549f675f --- /dev/null +++ b/docs/index/outputs.md @@ -0,0 +1,116 @@ +# Outputs + +The default pipeline produces a series of output tables that align with the [conceptual knowledge model](../index/default_dataflow.md). This page describes the detailed output table schemas. By default we write these tables out as parquet files on disk. + +## Shared fields +All tables have two identifier fields: + +| name | type | description | +| ----------------- | ---- | ----------- | +| id | str | Generated UUID, assuring global uniqueness | +| human_readable_id | int | This is an incremented short ID created per-run. For example, we use this short ID with generated summaries that print citations so they are easy to cross-reference visually. | + +## create_final_communities +This is a list of the final communities generated by Leiden. Communities are strictly hierarchical, subdividing into children as the cluster affinity is narrowed. + +| name | type | description | +| ---------------- | ----- | ----------- | +| community | int | Leiden-generated cluster ID for the community. Note that these increment with depth, so they are unique through all levels of the community hierarchy. For this table, human_readable_id is a copy of the community ID rather than a plain increment. | +| level | int | Depth of the community in the hierarchy. | +| title | str | Friendly name of the community. | +| entity_ids | str[] | List of entities that are members of the community. | +| relationship_ids | str[] | List of relationships that are wholly within the community (source and target are both in the community). | +| text_unit_ids | str[] | List of text units represented within the community. | +| period | str | Date of ingest, used for incremental update merges. ISO8601 | +| size | int | Size of the community (entity count), used for incremental update merges. | + +## create_final_community_reports +This is the list of summarized reports for each community. + +| name | type | description | +| ----------------- | ----- | ----------- | +| community | int | Short ID of the community this report applies to. | +| level | int | Level of the community this report applies to. | +| title | str | LM-generated title for the report. | +| summary | str | LM-generated summary of the report. | +| full_content | str | LM-generated full report. | +| rank | float | LM-derived relevance ranking of the report based on member entity salience +| rank_explanation | str | LM-derived explanation of the rank. | +| findings | dict | LM-derived list of the top 5-10 insights from the community. Contains `summary` and `explanation` values. | +| full_content_json | json | Full JSON output as returned by the LM. Most fields are extracted into columns, but this JSON is sent for query summarization so we leave it to allow for prompt tuning to add fields/content by end users. | +| period | str | Date of ingest, used for incremental update merges. ISO8601 | +| size | int | Size of the community (entity count), used for incremental update merges. | + +## create_final_covariates +(Optional) If claim extraction is turned on, this is a list of the extracted covariates. Note that claims are typically oriented around identifying malicious behavior such as fraud, so they are not useful for all datasets. + +| name | type | description | +| -------------- | ---- | ----------- | +| covariate_type | str | This is always "claim" with our default covariates. | +| type | str | Nature of the claim type. | +| description | str | LM-generated description of the behavior. | +| subject_id | str | Name of the source entity (that is performing the claimed behavior). | +| object_id | str | Name of the target entity (that the claimed behavior is performed on). | +| status | str | LM-derived assessment of the correctness of the claim. One of [TRUE, FALSE, SUSPECTED] | +| start_date | str | LM-derived start of the claimed activity. ISO8601 | +| end_date | str | LM-derived end of the claimed activity. ISO8601 | +| source_text | str | Short string of text containing the claimed behavior. | +| text_unit_id | str | ID of the text unit the claim text was extracted from. | + +## create_final_documents +List of document content after import. + +| name | type | description | +| ------------- | ----- | ----------- | +| title | str | Filename, unless otherwise configured during CSV import. | +| text | str | Full text of the document. | +| text_unit_ids | str[] | List of text units (chunks) that were parsed from the document. | +| attributes | dict | (optional) If specified during CSV import, this is a dict of attributes for the document. | + +## create_final_entities +List of all entities found in the data by the LM. + +| name | type | description | +| ------------- | ----- | ----------- | +| title | str | Name of the entity. | +| type | str | Type of the entity. By default this will be "organization", "person", "geo", or "event" unless configured differently or auto-tuning is used. | +| description | str | Textual description of the entity. Entities may be found in many text units, so this is an LM-derived summary of all descriptions. | +| text_unit_ids | str[] | List of the text units containing the entity. | + +## create_final_nodes +This is graph-related information for the entities. It contains only information relevant to the graph such as community. There is an entry for each entity at every community level it is found within, so you may see "duplicate" entities. + +Note that the ID fields match those in create_final_entities and can be used for joining if additional information about a node is required. + +| name | type | description | +| --------- | ----- | ----------- | +| title | str | Name of the referenced entity. Duplicated from create_final_entities for convenient cross-referencing. | +| community | int | Leiden community the node is found within. Entities are not always assigned a community (they may not be close enough to any), so they may have a ID of -1. | +| level | int | Level of the community the entity is in. | +| degree | int | Node degree (connectedness) in the graph. | +| x | float | X position of the node for visual layouts. If graph embeddings and UMAP are not turned on, this will be 0. | +| y | float | Y position of the node for visual layouts. If graph embeddings and UMAP are not turned on, this will be 0. | + +## create_final_relationships +List of all entity-to-entity relationships found in the data by the LM. This is also the _edge list_ for the graph. + +| name | type | description | +| --------------- | ----- | ----------- | +| source | str | Name of the source entity. | +| target | str | Name of the target entity. | +| description | str | LM-derived description of the relationship. Also see note for entity descriptions. | +| weight | float | Weight of the edge in the graph. This is summed from an LM-derived "strength" measure for each relationship instance. | +| combined_degree | int | Sum of source and target node degrees. | +| text_unit_ids | str[] | List of text units the relationship was found within. | + +## create_final_text_units +List of all text chunks parsed from the input documents. + +| name | type | description | +| ----------------- | ----- | ----------- | +| text | str | Raw full text of the chunk. | +| n_tokens | int | Number of tokens in the chunk. This should normally match the `chunk_size` config parameter, except for the last chunk which is often shorter. | +| document_ids | str[] | List of document IDs the chunk came from. This is normally only 1 due to our default groupby, but for very short text documents (e.g., microblogs) it can be configured so text units span multiple documents. | +| entity_ids | str[] | List of entities found in the text unit. | +| relationships_ids | str[] | List of relationships found in the text unit. | +| covariate_ids | str[] | Optional list of covariates found in the text unit. | \ No newline at end of file diff --git a/docsite/posts/index/overview.md b/docs/index/overview.md similarity index 51% rename from docsite/posts/index/overview.md rename to docs/index/overview.md index 51555c9abb..32179e12ba 100644 --- a/docsite/posts/index/overview.md +++ b/docs/index/overview.md @@ -1,9 +1,4 @@ ---- -title: GraphRAG Indexing 🤖 -navtitle: Indexing Overview -layout: page -tags: [post] ---- +# GraphRAG Indexing 🤖 The GraphRAG indexing package is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using LLMs. @@ -21,10 +16,10 @@ The outputs of the pipeline can be stored in a variety of formats, including JSO ### Requirements -See the [requirements](/posts/developing#requirements) section in [Get Started](/posts/get_started) for details on setting up a development environment. +See the [requirements](../developing.md#requirements) section in [Get Started](../get_started.md) for details on setting up a development environment. The Indexing Engine can be used in either a default configuration mode or with a custom pipeline. -To configure GraphRAG, see the [configuration](/posts/config/overview) documentation. +To configure GraphRAG, see the [configuration](../config/overview.md) documentation. After you have a config file you can run the pipeline using the CLI or the Python API. ## Usage @@ -44,39 +39,11 @@ yarn run:index --config your_pipeline.yml # custom config mode ### Python API -```python -from graphrag.index import run_pipeline -from graphrag.index.config import PipelineWorkflowReference - -workflows: list[PipelineWorkflowReference] = [ - PipelineWorkflowReference( - steps=[ - { - # built-in verb - "verb": "derive", # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/derive.py - "args": { - "column1": "col1", # from above - "column2": "col2", # from above - "to": "col_multiplied", # new column name - "operator": "*", # multiply the two columns - }, - # Since we're trying to act on the default input, we don't need explicitly to specify an input - } - ] - ), -] - -dataset = pd.DataFrame([{"col1": 2, "col2": 4}, {"col1": 5, "col2": 10}]) -outputs = [] -async for output in await run_pipeline(dataset=dataset, workflows=workflows): - outputs.append(output) -pipeline_result = outputs[-1] -print(pipeline_result) -``` +Please see the [examples folder](https://github.com/microsoft/graphrag/blob/main/examples/README.md) for a handful of functional pipelines illustrating how to create and run via a custom settings.yml or through custom python scripts. ## Further Reading -- To start developing within the _GraphRAG_ project, see [getting started](/posts/developing/) -- To understand the underlying concepts and execution model of the indexing library, see [the architecture documentation](/posts/index/0-architecture/) +- To start developing within the _GraphRAG_ project, see [getting started](../developing.md) +- To understand the underlying concepts and execution model of the indexing library, see [the architecture documentation](../index/architecture.md) - To get running with a series of examples, see [the examples documentation](https://github.com/microsoft/graphrag/blob/main/examples/README.md) -- To read more about configuring the indexing engine, see [the configuration documentation](/posts/config/overview) +- To read more about configuring the indexing engine, see [the configuration documentation](../config/overview.md) diff --git a/docs/prompt_tuning/auto_prompt_tuning.md b/docs/prompt_tuning/auto_prompt_tuning.md new file mode 100644 index 0000000000..c371f8fe1f --- /dev/null +++ b/docs/prompt_tuning/auto_prompt_tuning.md @@ -0,0 +1,101 @@ +# Auto Prompt Tuning ⚙️ + +GraphRAG provides the ability to create domain adapted prompts for the generation of the knowledge graph. This step is optional, though it is highly encouraged to run it as it will yield better results when executing an Index Run. + +These are generated by loading the inputs, splitting them into chunks (text units) and then running a series of LLM invocations and template substitutions to generate the final prompts. We suggest using the default values provided by the script, but in this page you'll find the detail of each in case you want to further explore and tweak the prompt tuning algorithm. + +<p align="center"> +<img src="../../img/auto-tune-diagram.png" alt="Figure 1: Auto Tuning Conceptual Diagram." width="850" align="center" /> +</p> +<p align="center"> +Figure 1: Auto Tuning Conceptual Diagram. +</p> + +## Prerequisites + +Before running auto tuning, ensure you have already initialized your workspace with the `graphrag init` command. This will create the necessary configuration files and the default prompts. Refer to the [Init Documentation](../config/init.md) for more information about the initialization process. + +## Usage + +You can run the main script from the command line with various options: + +```bash +graphrag prompt-tune [--root ROOT] [--config CONFIG] [--domain DOMAIN] [--selection-method METHOD] [--limit LIMIT] [--language LANGUAGE] \ +[--max-tokens MAX_TOKENS] [--chunk-size CHUNK_SIZE] [--n-subset-max N_SUBSET_MAX] [--k K] \ +[--min-examples-required MIN_EXAMPLES_REQUIRED] [--discover-entity-types] [--output OUTPUT] +``` + +## Command-Line Options + +- `--config` (required): The path to the configuration file. This is required to load the data and model settings. + +- `--root` (optional): The data project root directory, including the config files (YML, JSON, or .env). Defaults to the current directory. + +- `--domain` (optional): The domain related to your input data, such as 'space science', 'microbiology', or 'environmental news'. If left empty, the domain will be inferred from the input data. + +- `--method` (optional): The method to select documents. Options are all, random, auto or top. Default is random. + +- `--limit` (optional): The limit of text units to load when using random or top selection. Default is 15. + +- `--language` (optional): The language to use for input processing. If it is different from the inputs' language, the LLM will translate. Default is "" meaning it will be automatically detected from the inputs. + +- `--max-tokens` (optional): Maximum token count for prompt generation. Default is 2000. + +- `--chunk-size` (optional): The size in tokens to use for generating text units from input documents. Default is 200. + +- `--n-subset-max` (optional): The number of text chunks to embed when using auto selection method. Default is 300. + +- `--k` (optional): The number of documents to select when using auto selection method. Default is 15. + +- `--min-examples-required` (optional): The minimum number of examples required for entity extraction prompts. Default is 2. + +- `--discover-entity-types` (optional): Allow the LLM to discover and extract entities automatically. We recommend using this when your data covers a lot of topics or it is highly randomized. + +- `--output` (optional): The folder to save the generated prompts. Default is "prompts". + +## Example Usage + +```bash +python -m graphrag prompt-tune --root /path/to/project --config /path/to/settings.yaml --domain "environmental news" \ +--method random --limit 10 --language English --max-tokens 2048 --chunk-size 256 --min-examples-required 3 \ +--no-entity-types --output /path/to/output +``` + +or, with minimal configuration (suggested): + +```bash +python -m graphrag prompt-tune --root /path/to/project --config /path/to/settings.yaml --no-entity-types +``` + +## Document Selection Methods + +The auto tuning feature ingests the input data and then divides it into text units the size of the chunk size parameter. +After that, it uses one of the following selection methods to pick a sample to work with for prompt generation: + +- `random`: Select text units randomly. This is the default and recommended option. +- `top`: Select the head n text units. +- `all`: Use all text units for the generation. Use only with small datasets; this option is not usually recommended. +- `auto`: Embed text units in a lower-dimensional space and select the k nearest neighbors to the centroid. This is useful when you have a large dataset and want to select a representative sample. + +## Modify Env Vars + +After running auto tuning, you should modify the following environment variables (or config variables) to pick up the new prompts on your index run. Note: Please make sure to update the correct path to the generated prompts, in this example we are using the default "prompts" path. + +- `GRAPHRAG_ENTITY_EXTRACTION_PROMPT_FILE` = "prompts/entity_extraction.txt" + +- `GRAPHRAG_COMMUNITY_REPORT_PROMPT_FILE` = "prompts/community_report.txt" + +- `GRAPHRAG_SUMMARIZE_DESCRIPTIONS_PROMPT_FILE` = "prompts/summarize_descriptions.txt" + +or in your yaml config file: + +```yaml +entity_extraction: + prompt: "prompts/entity_extraction.txt" + +summarize_descriptions: + prompt: "prompts/summarize_descriptions.txt" + +community_reports: + prompt: "prompts/community_report.txt" +``` diff --git a/docs/prompt_tuning/manual_prompt_tuning.md b/docs/prompt_tuning/manual_prompt_tuning.md new file mode 100644 index 0000000000..4dc90b893b --- /dev/null +++ b/docs/prompt_tuning/manual_prompt_tuning.md @@ -0,0 +1,90 @@ +# Manual Prompt Tuning ⚙️ + +The GraphRAG indexer, by default, will run with a handful of prompts that are designed to work well in the broad context of knowledge discovery. +However, it is quite common to want to tune the prompts to better suit your specific use case. +We provide a means for you to do this by allowing you to specify a custom prompt file, which will each use a series of token-replacements internally. + +Each of these prompts may be overridden by writing a custom prompt file in plaintext. We use token-replacements in the form of `{token_name}`, and the descriptions for the available tokens can be found below. + +## Indexing Prompts + +### Entity/Relationship Extraction + +[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/prompts/index/entity_extraction.py) + +#### Tokens + +- **{input_text}** - The input text to be processed. +- **{entity_types}** - A list of entity types +- **{tuple_delimiter}** - A delimiter for separating values within a tuple. A single tuple is used to represent an individual entity or relationship. +- **{record_delimiter}** - A delimiter for separating tuple instances. +- **{completion_delimiter}** - An indicator for when generation is complete. + +### Summarize Entity/Relationship Descriptions + +[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/prompts/index/summarize_descriptions.py) + +#### Tokens + +- **{entity_name}** - The name of the entity or the source/target pair of the relationship. +- **{description_list}** - A list of descriptions for the entity or relationship. + +### Claim Extraction + +[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/prompts/index/claim_extraction.py) + +#### Tokens + +- **{input_text}** - The input text to be processed. +- **{tuple_delimiter}** - A delimiter for separating values within a tuple. A single tuple is used to represent an individual entity or relationship. +- **{record_delimiter}** - A delimiter for separating tuple instances. +- **{completion_delimiter}** - An indicator for when generation is complete. +- **{entity_specs}** - A list of entity types. +- **{claim_description}** - Description of what claims should look like. Default is: `"Any claims or facts that could be relevant to information discovery."` + +See the [configuration documentation](../config/overview.md) for details on how to change this. + +### Generate Community Reports + +[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/prompts/index/community_report.py) + +#### Tokens + +- **{input_text}** - The input text to generate the report with. This will contain tables of entities and relationships. + +## Query Prompts + +### Local Search + +[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/prompts/query/local_search_system_prompt.py) + +#### Tokens + +- **{response_type}** - Describe how the response should look. We default to "multiple paragraphs". +- **{context_data}** - The data tables from GraphRAG's index. + +### Global Search + +[Mapper Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/prompts/query/global_search_map_system_prompt.py) + +[Reducer Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/prompts/query/global_search_reduce_system_prompt.py) + +[Knowledge Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/prompts/query/global_search_knowledge_system_prompt.py) + +Global search uses a map/reduce approach to summarization. You can tune these prompts independently. This search also includes the ability to adjust the use of general knowledge from the model's training. + +#### Tokens + +- **{response_type}** - Describe how the response should look (reducer only). We default to "multiple paragraphs". +- **{context_data}** - The data tables from GraphRAG's index. + +### Drift Search + +[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/prompts/query/drift_search_system_prompt.py) + +#### Tokens + +- **{response_type}** - Describe how the response should look. We default to "multiple paragraphs". +- **{context_data}** - The data tables from GraphRAG's index. +- **{community_reports}** - The most relevant community reports to include in the summarization. +- **{query}** - The query text as injected into the context. \ No newline at end of file diff --git a/docs/prompt_tuning/overview.md b/docs/prompt_tuning/overview.md new file mode 100644 index 0000000000..a12cebb257 --- /dev/null +++ b/docs/prompt_tuning/overview.md @@ -0,0 +1,15 @@ +# Prompt Tuning ⚙️ + +This page provides an overview of the prompt tuning options available for the GraphRAG indexing engine. + +## Default Prompts + +The default prompts are the simplest way to get started with the GraphRAG system. It is designed to work out-of-the-box with minimal configuration. More details about each of the default prompts for indexing and query can be found on the [manual tuning](./manual_prompt_tuning.md) page. + +## Auto Tuning + +Auto Tuning leverages your input data and LLM interactions to create domain adapted prompts for the generation of the knowledge graph. It is highly encouraged to run it as it will yield better results when executing an Index Run. For more details about how to use it, please refer to the [Auto Tuning](auto_prompt_tuning.md) documentation. + +## Manual Tuning + +Manual tuning is an advanced use-case. Most users will want to use the Auto Tuning feature instead. Details about how to use manual configuration are available in the [manual tuning](manual_prompt_tuning.md) documentation. diff --git a/docs/query/drift_search.md b/docs/query/drift_search.md new file mode 100644 index 0000000000..e6199221ed --- /dev/null +++ b/docs/query/drift_search.md @@ -0,0 +1,36 @@ +# DRIFT Search 🔎 + +## Combining Local and Global Search + +GraphRAG is a technique that uses large language models (LLMs) to create knowledge graphs and summaries from unstructured text documents and leverages them to improve retrieval-augmented generation (RAG) operations on private datasets. It offers comprehensive global overviews of large, private troves of unstructured text documents while also enabling exploration of detailed, localized information. By using LLMs to create comprehensive knowledge graphs that connect and describe entities and relationships contained in those documents, GraphRAG leverages semantic structuring of the data to generate responses to a wide variety of complex user queries. + +DRIFT search (Dynamic Reasoning and Inference with Flexible Traversal) builds upon Microsoft’s GraphRAG technique, combining characteristics of both global and local search to generate detailed responses in a method that balances computational costs with quality outcomes using our [drift search](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/drift_search/) method. + +## Methodology + +<p align="center"> +<img src="../../img/drift-search-diagram.png" alt="Figure 1. An entire DRIFT search hierarchy highlighting the three core phases of the DRIFT search process." align="center" /> +</p> +<p align="center"><i><small> +Figure 1. An entire DRIFT search hierarchy highlighting the three core phases of the DRIFT search process. A (Primer): DRIFT compares the user’s query with the top K most semantically relevant community reports, generating a broad initial answer and follow-up questions to steer further exploration. B (Follow-Up): DRIFT uses local search to refine queries, producing additional intermediate answers and follow-up questions that enhance specificity, guiding the engine towards context-rich information. A glyph on each node in the diagram shows the confidence the algorithm has to continue the query expansion step. C (Output Hierarchy): The final output is a hierarchical structure of questions and answers ranked by relevance, reflecting a balanced mix of global insights and local refinements, making the results adaptable and comprehensive.</small></i></p> + + +DRIFT Search introduces a new approach to local search queries by including community information in the search process. This greatly expands the breadth of the query’s starting point and leads to retrieval and usage of a far higher variety of facts in the final answer. This addition expands the GraphRAG query engine by providing a more comprehensive option for local search, which uses community insights to refine a query into detailed follow-up questions. + +## Configuration + +Below are the key parameters of the [DRIFTSearch class](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/drift_search/search.py): + +- `llm`: OpenAI model object to be used for response generation +- `context_builder`: [context builder](https://github.com/microsoft/graphrag/blob/main/graphrag/query/structured_search/drift_search/drift_context.py) object to be used for preparing context data from community reports and query information +- `config`: model to define the DRIFT Search hyperparameters. [DRIFT Config model](https://github.com/microsoft/graphrag/blob/main/graphrag/config/models/drift_search_config.py) +- `token_encoder`: token encoder for tracking the budget for the algorithm. +- `query_state`: a state object as defined in [Query State](https://github.com/microsoft/graphrag/blob/main/graphrag/query/structured_search/drift_search/state.py) that allows to track execution of a DRIFT Search instance, alongside follow ups and [DRIFT actions](https://github.com/microsoft/graphrag/blob/main/graphrag/query/structured_search/drift_search/action.py). + +## How to Use + +An example of a drift search scenario can be found in the following [notebook](../examples_notebooks/drift_search.ipynb). + +## Learn More + +For a more in-depth look at the DRIFT search method, please refer to our [DRIFT Search blog post](https://www.microsoft.com/en-us/research/blog/introducing-drift-search-combining-global-and-local-search-methods-to-improve-quality-and-efficiency/) diff --git a/docsite/posts/query/0-global_search.md b/docs/query/global_search.md similarity index 91% rename from docsite/posts/query/0-global_search.md rename to docs/query/global_search.md index 1a0eda22fe..a9685d70be 100644 --- a/docsite/posts/query/0-global_search.md +++ b/docs/query/global_search.md @@ -1,10 +1,4 @@ ---- -title: Global Search 🔎 -navtitle: Global Search -tags: [post, orchestration] -layout: page -date: 2024-06-03 ---- +# Global Search 🔎 ## Whole Dataset Reasoning @@ -59,13 +53,14 @@ The quality of the global search’s response can be heavily influenced by the l ## Configuration Below are the key parameters of the [GlobalSearch class](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/search.py): + * `llm`: OpenAI model object to be used for response generation * `context_builder`: [context builder](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/community_context.py) object to be used for preparing context data from community reports -* `map_system_prompt`: prompt template used in the `map` stage. Default template can be found at [map_system_prompt](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/map_system_prompt.py) -* `reduce_system_prompt`: prompt template used in the `reduce` stage, default template can be found at [reduce_system_prompt](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/reduce_system_prompt.py) +* `map_system_prompt`: prompt template used in the `map` stage. Default template can be found at [map_system_prompt](https://github.com/microsoft/graphrag/blob/main//graphrag/prompts/query/global_search_map_system_prompt.py) +* `reduce_system_prompt`: prompt template used in the `reduce` stage, default template can be found at [reduce_system_prompt](https://github.com/microsoft/graphrag/blob/main//graphrag/prompts/query/global_search_reduce_system_prompt.py) * `response_type`: free-form text describing the desired response type and format (e.g., `Multiple Paragraphs`, `Multi-Page Report`) * `allow_general_knowledge`: setting this to True will include additional instructions to the `reduce_system_prompt` to prompt the LLM to incorporate relevant real-world knowledge outside of the dataset. Note that this may increase hallucinations, but can be useful for certain scenarios. Default is False -*`general_knowledge_inclusion_prompt`: instruction to add to the `reduce_system_prompt` if `allow_general_knowledge` is enabled. Default instruction can be found at [general_knowledge_instruction](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/reduce_system_prompt.py) +*`general_knowledge_inclusion_prompt`: instruction to add to the `reduce_system_prompt` if `allow_general_knowledge` is enabled. Default instruction can be found at [general_knowledge_instruction](https://github.com/microsoft/graphrag/blob/main//graphrag/prompts/query/global_search_knowledge_system_prompt.py) * `max_data_tokens`: token budget for the context data * `map_llm_params`: a dictionary of additional parameters (e.g., temperature, max_tokens) to be passed to the LLM call at the `map` stage * `reduce_llm_params`: a dictionary of additional parameters (e.g., temperature, max_tokens) to passed to the LLM call at the `reduce` stage @@ -75,4 +70,4 @@ Below are the key parameters of the [GlobalSearch class](https://github.com/micr ## How to Use -An example of a global search scenario can be found in the following [notebook](../notebooks/global_search_nb). \ No newline at end of file +An example of a global search scenario can be found in the following [notebook](../examples_notebooks/global_search.ipynb). \ No newline at end of file diff --git a/docsite/posts/query/1-local_search.md b/docs/query/local_search.md similarity index 94% rename from docsite/posts/query/1-local_search.md rename to docs/query/local_search.md index 7d2a465d40..bf0f43e3ce 100644 --- a/docsite/posts/query/1-local_search.md +++ b/docs/query/local_search.md @@ -1,10 +1,4 @@ ---- -title: Local Search 🔎 -navtitle: Local Search -tags: [post, orchestration] -layout: page -date: 2024-03-28 ---- +# Local Search 🔎 ## Entity-based Reasoning @@ -53,9 +47,10 @@ Given a user query and, optionally, the conversation history, the local search m ## Configuration Below are the key parameters of the [LocalSearch class](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/search.py): + * `llm`: OpenAI model object to be used for response generation * `context_builder`: [context builder](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/mixed_context.py) object to be used for preparing context data from collections of knowledge model objects -* `system_prompt`: prompt template used to generate the search response. Default template can be found at [system_prompt](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/system_prompt.py) +* `system_prompt`: prompt template used to generate the search response. Default template can be found at [system_prompt](https://github.com/microsoft/graphrag/blob/main//graphrag/prompts/query/local_search_system_prompt.py) * `response_type`: free-form text describing the desired response type and format (e.g., `Multiple Paragraphs`, `Multi-Page Report`) * `llm_params`: a dictionary of additional parameters (e.g., temperature, max_tokens) to be passed to the LLM call * `context_builder_params`: a dictionary of additional parameters to be passed to the [`context_builder`](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/mixed_context.py) object when building context for the search prompt @@ -63,5 +58,5 @@ Below are the key parameters of the [LocalSearch class](https://github.com/micro ## How to Use -An example of a local search scenario can be found in the following [notebook](../notebooks/local_search_nb). +An example of a local search scenario can be found in the following [notebook](../examples_notebooks/local_search.ipynb). diff --git a/docs/query/notebooks/overview.md b/docs/query/notebooks/overview.md new file mode 100644 index 0000000000..e68c6a8816 --- /dev/null +++ b/docs/query/notebooks/overview.md @@ -0,0 +1,9 @@ +# Query Engine Notebooks + +For examples about running Query please refer to the following notebooks: + +- [Global Search Notebook](../../examples_notebooks/global_search.ipynb) +- [Local Search Notebook](../../examples_notebooks/local_search.ipynb) +- [DRIFT Search Notebook](../../examples_notebooks/drift_search.ipynb) + +The test dataset for these notebooks can be found in [dataset.zip](../../data/operation_dulce/dataset.zip){:download}. diff --git a/docsite/posts/query/overview.md b/docs/query/overview.md similarity index 62% rename from docsite/posts/query/overview.md rename to docs/query/overview.md index 2b725759eb..d2be2470a8 100644 --- a/docsite/posts/query/overview.md +++ b/docs/query/overview.md @@ -1,31 +1,33 @@ ---- -title: Query Engine 🔎 -navtitle: Overview -tags: [post] -layout: page ---- - -The Query Engine is the retrieval module of the Graph RAG Library. It is one of the two main components of the Graph RAG library, the other being the Indexing Pipeline (see [Indexing Pipeline](/posts/index/overview)). +# Query Engine 🔎 + +The Query Engine is the retrieval module of the Graph RAG Library. It is one of the two main components of the Graph RAG library, the other being the Indexing Pipeline (see [Indexing Pipeline](../index/overview.md)). It is responsible for the following tasks: - [Local Search](#local-search) - [Global Search](#global-search) +- [DRIFT Search](#drift-search) - [Question Generation](#question-generation) ## Local Search Local search method generates answers by combining relevant data from the AI-extracted knowledge-graph with text chunks of the raw documents. This method is suitable for questions that require an understanding of specific entities mentioned in the documents (e.g. What are the healing properties of chamomile?). -For more details about how Local Search works please refer to the [Local Search](/posts/query/1-local_search) documentation. +For more details about how Local Search works please refer to the [Local Search](local_search.md) documentation. ## Global Search Global search method generates answers by searching over all AI-generated community reports in a map-reduce fashion. This is a resource-intensive method, but often gives good responses for questions that require an understanding of the dataset as a whole (e.g. What are the most significant values of the herbs mentioned in this notebook?). -More about this can be checked at the [Global Search](/posts/query/0-global_search) documentation. +More about this can be checked at the [Global Search](global_search.md) documentation. + +## DRIFT Search + +DRIFT Search introduces a new approach to local search queries by including community information in the search process. This greatly expands the breadth of the query’s starting point and leads to retrieval and usage of a far higher variety of facts in the final answer. This addition expands the GraphRAG query engine by providing a more comprehensive option for local search, which uses community insights to refine a query into detailed follow-up questions. + +To learn more about DRIFT Search, please refer to the [DRIFT Search](drift_search.md) documentation. ## Question Generation This functionality takes a list of user queries and generates the next candidate questions. This is useful for generating follow-up questions in a conversation or for generating a list of questions for the investigator to dive deeper into the dataset. -Information about how question generation works can be found at the [Question Generation](/posts/query/2-question_generation) documentation page. +Information about how question generation works can be found at the [Question Generation](question_generation.md) documentation page. diff --git a/docsite/posts/query/2-question_generation.md b/docs/query/question_generation.md similarity index 72% rename from docsite/posts/query/2-question_generation.md rename to docs/query/question_generation.md index 73a89f1f29..525a465499 100644 --- a/docsite/posts/query/2-question_generation.md +++ b/docs/query/question_generation.md @@ -1,28 +1,23 @@ ---- -title: Question Generation ❔ -navtitle: Question Generation -tags: [post, orchestration] -layout: page -date: 2024-03-28 ---- +# Question Generation ❔ ## Entity-based Question Generation The [question generation](https://github.com/microsoft/graphrag/blob/main//graphrag/query/question_gen/) method combines structured data from the knowledge graph with unstructured data from the input documents to generate candidate questions related to specific entities. ## Methodology -Given a list of prior user questions, the question generation method uses the same context-building approach employed in [local search](1-local_search.md) to extract and prioritize relevant structured and unstructured data, including entities, relationships, covariates, community reports and raw text chunks. These data records are then fitted into a single LLM prompt to generate candidate follow-up questions that represent the most important or urgent information content or themes in the data. +Given a list of prior user questions, the question generation method uses the same context-building approach employed in [local search](local_search.md) to extract and prioritize relevant structured and unstructured data, including entities, relationships, covariates, community reports and raw text chunks. These data records are then fitted into a single LLM prompt to generate candidate follow-up questions that represent the most important or urgent information content or themes in the data. ## Configuration Below are the key parameters of the [Question Generation class](https://github.com/microsoft/graphrag/blob/main//graphrag/query/question_gen/local_gen.py): + * `llm`: OpenAI model object to be used for response generation * `context_builder`: [context builder](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/mixed_context.py) object to be used for preparing context data from collections of knowledge model objects, using the same context builder class as in local search -* `system_prompt`: prompt template used to generate candidate questions. Default template can be found at [system_prompt](https://github.com/microsoft/graphrag/blob/main//graphrag/query/question_gen/system_prompt.py) +* `system_prompt`: prompt template used to generate candidate questions. Default template can be found at [system_prompt](https://github.com/microsoft/graphrag/blob/main//graphrag/prompts/query/question_gen_system_prompt.py) * `llm_params`: a dictionary of additional parameters (e.g., temperature, max_tokens) to be passed to the LLM call * `context_builder_params`: a dictionary of additional parameters to be passed to the [`context_builder`](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/mixed_context.py) object when building context for the question generation prompt * `callbacks`: optional callback functions, can be used to provide custom event handlers for LLM's completion streaming events ## How to Use -An example of the question generation function can be found in the following [notebook](../notebooks/local_search_nb). +An example of the question generation function can be found in the following [notebook](../examples_notebooks/local_search.ipynb). diff --git a/docs/scripts/create_cookie_banner.js b/docs/scripts/create_cookie_banner.js new file mode 100644 index 0000000000..16f986db35 --- /dev/null +++ b/docs/scripts/create_cookie_banner.js @@ -0,0 +1,18 @@ +function onConsentChanged(categoryPreferences) { + console.log("onConsentChanged", categoryPreferences); +} + + +cb = document.createElement("div"); +cb.id = "cookie-banner"; +document.body.insertBefore(cb, document.body.children[0]); + +window.WcpConsent && WcpConsent.init("en-US", "cookie-banner", function (err, consent) { + if (!err) { + console.log("consent: ", consent); + window.manageConsent = () => consent.manageConsent(); + siteConsent = consent; + } else { + console.log("Error initializing WcpConsent: "+ err); + } +}, onConsentChanged, WcpConsent.themes.light); \ No newline at end of file diff --git a/docs/stylesheets/extra.css b/docs/stylesheets/extra.css new file mode 100644 index 0000000000..b0e80aa371 --- /dev/null +++ b/docs/stylesheets/extra.css @@ -0,0 +1,29 @@ +[data-md-color-scheme="default"] { + --md-primary-fg-color: #3c4cab; + --md-code-hl-color: #3772d9; + --md-code-hl-comment-color: #6b6b6b; + --md-code-hl-operator-color: #6b6b6b; + --md-footer-fg-color--light: #ffffff; + --md-footer-fg-color--lighter: #ffffff; +} + +[data-md-color-scheme="slate"] { + --md-primary-fg-color: #364499; + --md-code-hl-color: #246be5; + --md-code-hl-constant-color: #9a89ed; + --md-code-hl-number-color: #f16e5f; + --md-footer-fg-color--light: #ffffff; + --md-footer-fg-color--lighter: #ffffff; +} + +.md-tabs__item--active { + background-color: var(--md-primary-bg-color); +} + +.md-tabs__item--active .md-tabs__link { + color: var(--md-code-hl-color); +} + +.md-typeset a { + text-decoration: underline; +} \ No newline at end of file diff --git a/docs/visualization_guide.md b/docs/visualization_guide.md new file mode 100644 index 0000000000..539dd509c2 --- /dev/null +++ b/docs/visualization_guide.md @@ -0,0 +1,100 @@ +# Visualizing and Debugging Your Knowledge Graph + +The following step-by-step guide walks through the process to visualize a knowledge graph after it's been constructed by graphrag. Note that some of the settings recommended below are based on our own experience of what works well. Feel free to change and explore other settings for a better visualization experience! + +## 1. Run the Pipeline +Before building an index, please review your `settings.yaml` configuration file and ensure that graphml snapshots is enabled. +```yaml +snapshots: + graphml: true +``` +(Optional) To support other visualization tools and exploration, additional parameters can be enabled that provide access to vector embeddings. +```yaml +embed_graph: + enabled: true # will generate node2vec embeddings for nodes +umap: + enabled: true # will generate UMAP embeddings for nodes +``` +After running the indexing pipeline over your data, there will be an output folder (defined by the `storage.base_dir` setting). + +- **Output Folder**: Contains artifacts from the LLM’s indexing pass. + +## 2. Locate the Knowledge Graph +In the output folder, look for a file named `merged_graph.graphml`. graphml is a standard [file format](http://graphml.graphdrawing.org) supported by many visualization tools. We recommend trying [Gephi](https://gephi.org). + +## 3. Open the Graph in Gephi +1. Install and open Gephi +2. Navigate to the `output` folder containing the various parquet files. +3. Import the `merged_graph.graphml` file into Gephi. This will result in a fairly plain view of the undirected graph nodes and edges. + +<p align="center"> + <img src="../img/viz_guide/gephi-initial-graph-example.png" alt="A basic graph visualization by Gephi" width="300"/> +</p> + +## 4. Install the Leiden Algorithm Plugin +1. Go to `Tools` -> `Plugins`. +2. Search for "Leiden Algorithm". +3. Click `Install` and restart Gephi. + +## 5. Run Statistics +1. In the `Statistics` tab on the right, click `Run` for `Average Degree` and `Leiden Algorithm`. + +<p align="center"> + <img src="../img/viz_guide/gephi-network-overview-settings.png" alt="A view of Gephi's network overview settings" width="300"/> +</p> + +2. For the Leiden Algorithm, adjust the settings: + - **Quality function**: Modularity + - **Resolution**: 1 + +## 6. Color the Graph by Clusters +1. Go to the `Appearance` pane in the upper left side of Gephi. + +<p align="center"> + <img src="../img/viz_guide/gephi-appearance-pane.png" alt="A view of Gephi's appearance pane" width="500"/> +</p> + +2. Select `Nodes`, then `Partition`, and click the color palette icon in the upper right. +3. Choose `Cluster` from the dropdown. +4. Click the `Palette...` hyperlink, then `Generate...`. +5. Uncheck `Limit number of colors`, click `Generate`, and then `Ok`. +6. Click `Apply` to color the graph. This will color the graph based on the partitions discovered by Leiden. + +## 7. Resize Nodes by Degree Centrality +1. In the `Appearance` pane in the upper left, select `Nodes` -> `Ranking` +2. Select the `Sizing` icon in the upper right. +2. Choose `Degree` and set: + - **Min**: 10 + - **Max**: 150 +3. Click `Apply`. + +## 8. Layout the Graph +1. In the `Layout` tab in the lower left, select `OpenORD`. + +<p align="center"> + <img src="../img/viz_guide/gephi-layout-pane.png" alt="A view of Gephi's layout pane" width="400"/> +</p> + +2. Set `Liquid` and `Expansion` stages to 50, and everything else to 0. +3. Click `Run` and monitor the progress. + +## 9. Run ForceAtlas2 +1. Select `Force Atlas 2` in the layout options. + +<p align="center"> + <img src="../img/viz_guide/gephi-layout-forceatlas2-pane.png" alt="A view of Gephi's ForceAtlas2 layout pane" width="400"/> +</p> + +2. Adjust the settings: + - **Scaling**: 15 + - **Dissuade Hubs**: checked + - **LinLog mode**: uncheck + - **Prevent Overlap**: checked +3. Click `Run` and wait. +4. Press `Stop` when it looks like the graph nodes have settled and no longer change position significantly. + +## 10. Add Text Labels (Optional) +1. Turn on text labels in the appropriate section. +2. Configure and resize them as needed. + +Your final graph should now be visually organized and ready for analysis! diff --git a/docsite/.eleventy.js b/docsite/.eleventy.js deleted file mode 100644 index 11141917f3..0000000000 --- a/docsite/.eleventy.js +++ /dev/null @@ -1,25 +0,0 @@ -const { EleventyHtmlBasePlugin } = require("@11ty/eleventy"); -const syntaxHighlight = require("@11ty/eleventy-plugin-syntaxhighlight"); -const codeClipboard = require("eleventy-plugin-code-clipboard"); -const pluginMermaid = require("@kevingimbel/eleventy-plugin-mermaid"); -const markdownIt = require('markdown-it'); - -module.exports = (eleventyConfig) => { - eleventyConfig.addPlugin(syntaxHighlight); - eleventyConfig.addPlugin(codeClipboard); - eleventyConfig.addPlugin(pluginMermaid); - eleventyConfig.addPlugin(EleventyHtmlBasePlugin, { - baseHref: process.env.DOCSITE_BASE_URL || "" - }); - eleventyConfig.addPassthroughCopy("data"); - eleventyConfig.addPassthroughCopy("img"); - // Ignore auto-generated 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fchownPromise(e,r,o){return this.baseFs.fchownPromise(e,r,o)}fchownSync(e,r,o){return this.baseFs.fchownSync(e,r,o)}async chownPromise(e,r,o){return this.baseFs.chownPromise(this.mapToBase(e),r,o)}chownSync(e,r,o){return this.baseFs.chownSync(this.mapToBase(e),r,o)}async renamePromise(e,r){return this.baseFs.renamePromise(this.mapToBase(e),this.mapToBase(r))}renameSync(e,r){return this.baseFs.renameSync(this.mapToBase(e),this.mapToBase(r))}async copyFilePromise(e,r,o=0){return this.baseFs.copyFilePromise(this.mapToBase(e),this.mapToBase(r),o)}copyFileSync(e,r,o=0){return this.baseFs.copyFileSync(this.mapToBase(e),this.mapToBase(r),o)}async appendFilePromise(e,r,o){return this.baseFs.appendFilePromise(this.fsMapToBase(e),r,o)}appendFileSync(e,r,o){return this.baseFs.appendFileSync(this.fsMapToBase(e),r,o)}async writeFilePromise(e,r,o){return this.baseFs.writeFilePromise(this.fsMapToBase(e),r,o)}writeFileSync(e,r,o){return this.baseFs.writeFileSync(this.fsMapToBase(e),r,o)}async unlinkPromise(e){return this.baseFs.unlinkPromise(this.mapToBase(e))}unlinkSync(e){return this.baseFs.unlinkSync(this.mapToBase(e))}async utimesPromise(e,r,o){return this.baseFs.utimesPromise(this.mapToBase(e),r,o)}utimesSync(e,r,o){return this.baseFs.utimesSync(this.mapToBase(e),r,o)}async lutimesPromise(e,r,o){return this.baseFs.lutimesPromise(this.mapToBase(e),r,o)}lutimesSync(e,r,o){return this.baseFs.lutimesSync(this.mapToBase(e),r,o)}async mkdirPromise(e,r){return this.baseFs.mkdirPromise(this.mapToBase(e),r)}mkdirSync(e,r){return this.baseFs.mkdirSync(this.mapToBase(e),r)}async rmdirPromise(e,r){return this.baseFs.rmdirPromise(this.mapToBase(e),r)}rmdirSync(e,r){return this.baseFs.rmdirSync(this.mapToBase(e),r)}async linkPromise(e,r){return this.baseFs.linkPromise(this.mapToBase(e),this.mapToBase(r))}linkSync(e,r){return this.baseFs.linkSync(this.mapToBase(e),this.mapToBase(r))}async symlinkPromise(e,r,o){let a=this.mapToBase(r);if(this.pathUtils.isAbsolute(e))return this.baseFs.symlinkPromise(this.mapToBase(e),a,o);let n=this.mapToBase(this.pathUtils.join(this.pathUtils.dirname(r),e)),u=this.baseFs.pathUtils.relative(this.baseFs.pathUtils.dirname(a),n);return this.baseFs.symlinkPromise(u,a,o)}symlinkSync(e,r,o){let a=this.mapToBase(r);if(this.pathUtils.isAbsolute(e))return this.baseFs.symlinkSync(this.mapToBase(e),a,o);let n=this.mapToBase(this.pathUtils.join(this.pathUtils.dirname(r),e)),u=this.baseFs.pathUtils.relative(this.baseFs.pathUtils.dirname(a),n);return this.baseFs.symlinkSync(u,a,o)}async readFilePromise(e,r){return this.baseFs.readFilePromise(this.fsMapToBase(e),r)}readFileSync(e,r){return this.baseFs.readFileSync(this.fsMapToBase(e),r)}readdirPromise(e,r){return this.baseFs.readdirPromise(this.mapToBase(e),r)}readdirSync(e,r){return this.baseFs.readdirSync(this.mapToBase(e),r)}async readlinkPromise(e){return this.mapFromBase(await this.baseFs.readlinkPromise(this.mapToBase(e)))}readlinkSync(e){return this.mapFromBase(this.baseFs.readlinkSync(this.mapToBase(e)))}async truncatePromise(e,r){return this.baseFs.truncatePromise(this.mapToBase(e),r)}truncateSync(e,r){return this.baseFs.truncateSync(this.mapToBase(e),r)}async ftruncatePromise(e,r){return this.baseFs.ftruncatePromise(e,r)}ftruncateSync(e,r){return this.baseFs.ftruncateSync(e,r)}watch(e,r,o){return this.baseFs.watch(this.mapToBase(e),r,o)}watchFile(e,r,o){return this.baseFs.watchFile(this.mapToBase(e),r,o)}unwatchFile(e,r){return this.baseFs.unwatchFile(this.mapToBase(e),r)}fsMapToBase(e){return typeof e=="number"?e:this.mapToBase(e)}}});var Uu,Y7=Et(()=>{gf();Uu=class extends Ps{constructor(r,{baseFs:o,pathUtils:a}){super(a);this.target=r,this.baseFs=o}getRealPath(){return this.target}getBaseFs(){return this.baseFs}mapFromBase(r){return r}mapToBase(r){return r}}});function W7(t){let e=t;return typeof t.path=="string"&&(e.path=ue.toPortablePath(t.path)),e}var V7,Rn,Hg=Et(()=>{V7=$e(Be("fs"));_g();Ca();Rn=class extends Ou{constructor(r=V7.default){super();this.realFs=r}getExtractHint(){return!1}getRealPath(){return Bt.root}resolve(r){return K.resolve(r)}async openPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.open(ue.fromPortablePath(r),o,a,this.makeCallback(n,u))})}openSync(r,o,a){return this.realFs.openSync(ue.fromPortablePath(r),o,a)}async opendirPromise(r,o){return await new Promise((a,n)=>{typeof o<"u"?this.realFs.opendir(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.opendir(ue.fromPortablePath(r),this.makeCallback(a,n))}).then(a=>{let n=a;return Object.defineProperty(n,"path",{value:r,configurable:!0,writable:!0}),n})}opendirSync(r,o){let n=typeof o<"u"?this.realFs.opendirSync(ue.fromPortablePath(r),o):this.realFs.opendirSync(ue.fromPortablePath(r));return Object.defineProperty(n,"path",{value:r,configurable:!0,writable:!0}),n}async readPromise(r,o,a=0,n=0,u=-1){return await new Promise((A,p)=>{this.realFs.read(r,o,a,n,u,(h,E)=>{h?p(h):A(E)})})}readSync(r,o,a,n,u){return this.realFs.readSync(r,o,a,n,u)}async writePromise(r,o,a,n,u){return await new Promise((A,p)=>typeof o=="string"?this.realFs.write(r,o,a,this.makeCallback(A,p)):this.realFs.write(r,o,a,n,u,this.makeCallback(A,p)))}writeSync(r,o,a,n,u){return typeof o=="string"?this.realFs.writeSync(r,o,a):this.realFs.writeSync(r,o,a,n,u)}async closePromise(r){await new Promise((o,a)=>{this.realFs.close(r,this.makeCallback(o,a))})}closeSync(r){this.realFs.closeSync(r)}createReadStream(r,o){let a=r!==null?ue.fromPortablePath(r):r;return this.realFs.createReadStream(a,o)}createWriteStream(r,o){let a=r!==null?ue.fromPortablePath(r):r;return this.realFs.createWriteStream(a,o)}async realpathPromise(r){return await new Promise((o,a)=>{this.realFs.realpath(ue.fromPortablePath(r),{},this.makeCallback(o,a))}).then(o=>ue.toPortablePath(o))}realpathSync(r){return ue.toPortablePath(this.realFs.realpathSync(ue.fromPortablePath(r),{}))}async existsPromise(r){return await new Promise(o=>{this.realFs.exists(ue.fromPortablePath(r),o)})}accessSync(r,o){return this.realFs.accessSync(ue.fromPortablePath(r),o)}async accessPromise(r,o){return await new Promise((a,n)=>{this.realFs.access(ue.fromPortablePath(r),o,this.makeCallback(a,n))})}existsSync(r){return this.realFs.existsSync(ue.fromPortablePath(r))}async statPromise(r,o){return await new Promise((a,n)=>{o?this.realFs.stat(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.stat(ue.fromPortablePath(r),this.makeCallback(a,n))})}statSync(r,o){return o?this.realFs.statSync(ue.fromPortablePath(r),o):this.realFs.statSync(ue.fromPortablePath(r))}async fstatPromise(r,o){return await new Promise((a,n)=>{o?this.realFs.fstat(r,o,this.makeCallback(a,n)):this.realFs.fstat(r,this.makeCallback(a,n))})}fstatSync(r,o){return o?this.realFs.fstatSync(r,o):this.realFs.fstatSync(r)}async lstatPromise(r,o){return await new Promise((a,n)=>{o?this.realFs.lstat(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.lstat(ue.fromPortablePath(r),this.makeCallback(a,n))})}lstatSync(r,o){return o?this.realFs.lstatSync(ue.fromPortablePath(r),o):this.realFs.lstatSync(ue.fromPortablePath(r))}async fchmodPromise(r,o){return await new Promise((a,n)=>{this.realFs.fchmod(r,o,this.makeCallback(a,n))})}fchmodSync(r,o){return this.realFs.fchmodSync(r,o)}async chmodPromise(r,o){return await new Promise((a,n)=>{this.realFs.chmod(ue.fromPortablePath(r),o,this.makeCallback(a,n))})}chmodSync(r,o){return this.realFs.chmodSync(ue.fromPortablePath(r),o)}async fchownPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.fchown(r,o,a,this.makeCallback(n,u))})}fchownSync(r,o,a){return this.realFs.fchownSync(r,o,a)}async chownPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.chown(ue.fromPortablePath(r),o,a,this.makeCallback(n,u))})}chownSync(r,o,a){return this.realFs.chownSync(ue.fromPortablePath(r),o,a)}async renamePromise(r,o){return await new Promise((a,n)=>{this.realFs.rename(ue.fromPortablePath(r),ue.fromPortablePath(o),this.makeCallback(a,n))})}renameSync(r,o){return this.realFs.renameSync(ue.fromPortablePath(r),ue.fromPortablePath(o))}async copyFilePromise(r,o,a=0){return await new Promise((n,u)=>{this.realFs.copyFile(ue.fromPortablePath(r),ue.fromPortablePath(o),a,this.makeCallback(n,u))})}copyFileSync(r,o,a=0){return this.realFs.copyFileSync(ue.fromPortablePath(r),ue.fromPortablePath(o),a)}async appendFilePromise(r,o,a){return await new Promise((n,u)=>{let A=typeof r=="string"?ue.fromPortablePath(r):r;a?this.realFs.appendFile(A,o,a,this.makeCallback(n,u)):this.realFs.appendFile(A,o,this.makeCallback(n,u))})}appendFileSync(r,o,a){let n=typeof r=="string"?ue.fromPortablePath(r):r;a?this.realFs.appendFileSync(n,o,a):this.realFs.appendFileSync(n,o)}async writeFilePromise(r,o,a){return await new Promise((n,u)=>{let A=typeof r=="string"?ue.fromPortablePath(r):r;a?this.realFs.writeFile(A,o,a,this.makeCallback(n,u)):this.realFs.writeFile(A,o,this.makeCallback(n,u))})}writeFileSync(r,o,a){let n=typeof r=="string"?ue.fromPortablePath(r):r;a?this.realFs.writeFileSync(n,o,a):this.realFs.writeFileSync(n,o)}async unlinkPromise(r){return await new Promise((o,a)=>{this.realFs.unlink(ue.fromPortablePath(r),this.makeCallback(o,a))})}unlinkSync(r){return this.realFs.unlinkSync(ue.fromPortablePath(r))}async utimesPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.utimes(ue.fromPortablePath(r),o,a,this.makeCallback(n,u))})}utimesSync(r,o,a){this.realFs.utimesSync(ue.fromPortablePath(r),o,a)}async lutimesPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.lutimes(ue.fromPortablePath(r),o,a,this.makeCallback(n,u))})}lutimesSync(r,o,a){this.realFs.lutimesSync(ue.fromPortablePath(r),o,a)}async mkdirPromise(r,o){return await new Promise((a,n)=>{this.realFs.mkdir(ue.fromPortablePath(r),o,this.makeCallback(a,n))})}mkdirSync(r,o){return this.realFs.mkdirSync(ue.fromPortablePath(r),o)}async rmdirPromise(r,o){return await new Promise((a,n)=>{o?this.realFs.rmdir(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.rmdir(ue.fromPortablePath(r),this.makeCallback(a,n))})}rmdirSync(r,o){return this.realFs.rmdirSync(ue.fromPortablePath(r),o)}async linkPromise(r,o){return await new Promise((a,n)=>{this.realFs.link(ue.fromPortablePath(r),ue.fromPortablePath(o),this.makeCallback(a,n))})}linkSync(r,o){return this.realFs.linkSync(ue.fromPortablePath(r),ue.fromPortablePath(o))}async symlinkPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.symlink(ue.fromPortablePath(r.replace(/\/+$/,"")),ue.fromPortablePath(o),a,this.makeCallback(n,u))})}symlinkSync(r,o,a){return this.realFs.symlinkSync(ue.fromPortablePath(r.replace(/\/+$/,"")),ue.fromPortablePath(o),a)}async readFilePromise(r,o){return await new Promise((a,n)=>{let u=typeof r=="string"?ue.fromPortablePath(r):r;this.realFs.readFile(u,o,this.makeCallback(a,n))})}readFileSync(r,o){let a=typeof r=="string"?ue.fromPortablePath(r):r;return this.realFs.readFileSync(a,o)}async readdirPromise(r,o){return await new Promise((a,n)=>{o?o.recursive&&process.platform==="win32"?o.withFileTypes?this.realFs.readdir(ue.fromPortablePath(r),o,this.makeCallback(u=>a(u.map(W7)),n)):this.realFs.readdir(ue.fromPortablePath(r),o,this.makeCallback(u=>a(u.map(ue.toPortablePath)),n)):this.realFs.readdir(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.readdir(ue.fromPortablePath(r),this.makeCallback(a,n))})}readdirSync(r,o){return o?o.recursive&&process.platform==="win32"?o.withFileTypes?this.realFs.readdirSync(ue.fromPortablePath(r),o).map(W7):this.realFs.readdirSync(ue.fromPortablePath(r),o).map(ue.toPortablePath):this.realFs.readdirSync(ue.fromPortablePath(r),o):this.realFs.readdirSync(ue.fromPortablePath(r))}async readlinkPromise(r){return await new Promise((o,a)=>{this.realFs.readlink(ue.fromPortablePath(r),this.makeCallback(o,a))}).then(o=>ue.toPortablePath(o))}readlinkSync(r){return ue.toPortablePath(this.realFs.readlinkSync(ue.fromPortablePath(r)))}async truncatePromise(r,o){return await new Promise((a,n)=>{this.realFs.truncate(ue.fromPortablePath(r),o,this.makeCallback(a,n))})}truncateSync(r,o){return this.realFs.truncateSync(ue.fromPortablePath(r),o)}async ftruncatePromise(r,o){return await new Promise((a,n)=>{this.realFs.ftruncate(r,o,this.makeCallback(a,n))})}ftruncateSync(r,o){return this.realFs.ftruncateSync(r,o)}watch(r,o,a){return this.realFs.watch(ue.fromPortablePath(r),o,a)}watchFile(r,o,a){return this.realFs.watchFile(ue.fromPortablePath(r),o,a)}unwatchFile(r,o){return this.realFs.unwatchFile(ue.fromPortablePath(r),o)}makeCallback(r,o){return(a,n)=>{a?o(a):r(n)}}}});var gn,K7=Et(()=>{Hg();gf();Ca();gn=class extends Ps{constructor(r,{baseFs:o=new Rn}={}){super(K);this.target=this.pathUtils.normalize(r),this.baseFs=o}getRealPath(){return this.pathUtils.resolve(this.baseFs.getRealPath(),this.target)}resolve(r){return this.pathUtils.isAbsolute(r)?K.normalize(r):this.baseFs.resolve(K.join(this.target,r))}mapFromBase(r){return r}mapToBase(r){return this.pathUtils.isAbsolute(r)?r:this.pathUtils.join(this.target,r)}}});var J7,_u,z7=Et(()=>{Hg();gf();Ca();J7=Bt.root,_u=class extends Ps{constructor(r,{baseFs:o=new Rn}={}){super(K);this.target=this.pathUtils.resolve(Bt.root,r),this.baseFs=o}getRealPath(){return this.pathUtils.resolve(this.baseFs.getRealPath(),this.pathUtils.relative(Bt.root,this.target))}getTarget(){return this.target}getBaseFs(){return this.baseFs}mapToBase(r){let o=this.pathUtils.normalize(r);if(this.pathUtils.isAbsolute(r))return this.pathUtils.resolve(this.target,this.pathUtils.relative(J7,r));if(o.match(/^\.\.\/?/))throw new Error(`Resolving this path (${r}) would escape the jail`);return this.pathUtils.resolve(this.target,r)}mapFromBase(r){return this.pathUtils.resolve(J7,this.pathUtils.relative(this.target,r))}}});var ny,X7=Et(()=>{gf();ny=class extends Ps{constructor(r,o){super(o);this.instance=null;this.factory=r}get baseFs(){return this.instance||(this.instance=this.factory()),this.instance}set baseFs(r){this.instance=r}mapFromBase(r){return r}mapToBase(r){return r}}});var jg,wa,_p,Z7=Et(()=>{jg=Be("fs");_g();Hg();VT();BD();Ca();wa=4278190080,_p=class extends Ou{constructor({baseFs:r=new Rn,filter:o=null,magicByte:a=42,maxOpenFiles:n=1/0,useCache:u=!0,maxAge:A=5e3,typeCheck:p=jg.constants.S_IFREG,getMountPoint:h,factoryPromise:E,factorySync:I}){if(Math.floor(a)!==a||!(a>1&&a<=127))throw new Error("The magic byte must be set to a round value between 1 and 127 included");super();this.fdMap=new Map;this.nextFd=3;this.isMount=new Set;this.notMount=new Set;this.realPaths=new Map;this.limitOpenFilesTimeout=null;this.baseFs=r,this.mountInstances=u?new Map:null,this.factoryPromise=E,this.factorySync=I,this.filter=o,this.getMountPoint=h,this.magic=a<<24,this.maxAge=A,this.maxOpenFiles=n,this.typeCheck=p}getExtractHint(r){return this.baseFs.getExtractHint(r)}getRealPath(){return this.baseFs.getRealPath()}saveAndClose(){if(Og(this),this.mountInstances)for(let[r,{childFs:o}]of this.mountInstances.entries())o.saveAndClose?.(),this.mountInstances.delete(r)}discardAndClose(){if(Og(this),this.mountInstances)for(let[r,{childFs:o}]of this.mountInstances.entries())o.discardAndClose?.(),this.mountInstances.delete(r)}resolve(r){return this.baseFs.resolve(r)}remapFd(r,o){let a=this.nextFd++|this.magic;return this.fdMap.set(a,[r,o]),a}async openPromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.openPromise(r,o,a),async(n,{subPath:u})=>this.remapFd(n,await n.openPromise(u,o,a)))}openSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.openSync(r,o,a),(n,{subPath:u})=>this.remapFd(n,n.openSync(u,o,a)))}async opendirPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.opendirPromise(r,o),async(a,{subPath:n})=>await a.opendirPromise(n,o),{requireSubpath:!1})}opendirSync(r,o){return this.makeCallSync(r,()=>this.baseFs.opendirSync(r,o),(a,{subPath:n})=>a.opendirSync(n,o),{requireSubpath:!1})}async readPromise(r,o,a,n,u){if((r&wa)!==this.magic)return await this.baseFs.readPromise(r,o,a,n,u);let A=this.fdMap.get(r);if(typeof A>"u")throw Io("read");let[p,h]=A;return await p.readPromise(h,o,a,n,u)}readSync(r,o,a,n,u){if((r&wa)!==this.magic)return this.baseFs.readSync(r,o,a,n,u);let A=this.fdMap.get(r);if(typeof A>"u")throw Io("readSync");let[p,h]=A;return p.readSync(h,o,a,n,u)}async writePromise(r,o,a,n,u){if((r&wa)!==this.magic)return typeof o=="string"?await this.baseFs.writePromise(r,o,a):await this.baseFs.writePromise(r,o,a,n,u);let A=this.fdMap.get(r);if(typeof A>"u")throw Io("write");let[p,h]=A;return typeof o=="string"?await p.writePromise(h,o,a):await p.writePromise(h,o,a,n,u)}writeSync(r,o,a,n,u){if((r&wa)!==this.magic)return typeof o=="string"?this.baseFs.writeSync(r,o,a):this.baseFs.writeSync(r,o,a,n,u);let A=this.fdMap.get(r);if(typeof A>"u")throw Io("writeSync");let[p,h]=A;return typeof o=="string"?p.writeSync(h,o,a):p.writeSync(h,o,a,n,u)}async closePromise(r){if((r&wa)!==this.magic)return await this.baseFs.closePromise(r);let o=this.fdMap.get(r);if(typeof o>"u")throw Io("close");this.fdMap.delete(r);let[a,n]=o;return await a.closePromise(n)}closeSync(r){if((r&wa)!==this.magic)return this.baseFs.closeSync(r);let o=this.fdMap.get(r);if(typeof o>"u")throw Io("closeSync");this.fdMap.delete(r);let[a,n]=o;return a.closeSync(n)}createReadStream(r,o){return r===null?this.baseFs.createReadStream(r,o):this.makeCallSync(r,()=>this.baseFs.createReadStream(r,o),(a,{archivePath:n,subPath:u})=>{let A=a.createReadStream(u,o);return A.path=ue.fromPortablePath(this.pathUtils.join(n,u)),A})}createWriteStream(r,o){return r===null?this.baseFs.createWriteStream(r,o):this.makeCallSync(r,()=>this.baseFs.createWriteStream(r,o),(a,{subPath:n})=>a.createWriteStream(n,o))}async realpathPromise(r){return await this.makeCallPromise(r,async()=>await this.baseFs.realpathPromise(r),async(o,{archivePath:a,subPath:n})=>{let u=this.realPaths.get(a);return typeof u>"u"&&(u=await this.baseFs.realpathPromise(a),this.realPaths.set(a,u)),this.pathUtils.join(u,this.pathUtils.relative(Bt.root,await o.realpathPromise(n)))})}realpathSync(r){return this.makeCallSync(r,()=>this.baseFs.realpathSync(r),(o,{archivePath:a,subPath:n})=>{let u=this.realPaths.get(a);return typeof u>"u"&&(u=this.baseFs.realpathSync(a),this.realPaths.set(a,u)),this.pathUtils.join(u,this.pathUtils.relative(Bt.root,o.realpathSync(n)))})}async existsPromise(r){return await this.makeCallPromise(r,async()=>await this.baseFs.existsPromise(r),async(o,{subPath:a})=>await o.existsPromise(a))}existsSync(r){return this.makeCallSync(r,()=>this.baseFs.existsSync(r),(o,{subPath:a})=>o.existsSync(a))}async accessPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.accessPromise(r,o),async(a,{subPath:n})=>await a.accessPromise(n,o))}accessSync(r,o){return this.makeCallSync(r,()=>this.baseFs.accessSync(r,o),(a,{subPath:n})=>a.accessSync(n,o))}async statPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.statPromise(r,o),async(a,{subPath:n})=>await a.statPromise(n,o))}statSync(r,o){return this.makeCallSync(r,()=>this.baseFs.statSync(r,o),(a,{subPath:n})=>a.statSync(n,o))}async fstatPromise(r,o){if((r&wa)!==this.magic)return this.baseFs.fstatPromise(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("fstat");let[n,u]=a;return n.fstatPromise(u,o)}fstatSync(r,o){if((r&wa)!==this.magic)return this.baseFs.fstatSync(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("fstatSync");let[n,u]=a;return n.fstatSync(u,o)}async lstatPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.lstatPromise(r,o),async(a,{subPath:n})=>await a.lstatPromise(n,o))}lstatSync(r,o){return this.makeCallSync(r,()=>this.baseFs.lstatSync(r,o),(a,{subPath:n})=>a.lstatSync(n,o))}async fchmodPromise(r,o){if((r&wa)!==this.magic)return this.baseFs.fchmodPromise(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("fchmod");let[n,u]=a;return n.fchmodPromise(u,o)}fchmodSync(r,o){if((r&wa)!==this.magic)return this.baseFs.fchmodSync(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("fchmodSync");let[n,u]=a;return n.fchmodSync(u,o)}async chmodPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.chmodPromise(r,o),async(a,{subPath:n})=>await a.chmodPromise(n,o))}chmodSync(r,o){return this.makeCallSync(r,()=>this.baseFs.chmodSync(r,o),(a,{subPath:n})=>a.chmodSync(n,o))}async fchownPromise(r,o,a){if((r&wa)!==this.magic)return this.baseFs.fchownPromise(r,o,a);let n=this.fdMap.get(r);if(typeof n>"u")throw Io("fchown");let[u,A]=n;return u.fchownPromise(A,o,a)}fchownSync(r,o,a){if((r&wa)!==this.magic)return this.baseFs.fchownSync(r,o,a);let n=this.fdMap.get(r);if(typeof n>"u")throw Io("fchownSync");let[u,A]=n;return u.fchownSync(A,o,a)}async chownPromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.chownPromise(r,o,a),async(n,{subPath:u})=>await n.chownPromise(u,o,a))}chownSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.chownSync(r,o,a),(n,{subPath:u})=>n.chownSync(u,o,a))}async renamePromise(r,o){return await this.makeCallPromise(r,async()=>await this.makeCallPromise(o,async()=>await this.baseFs.renamePromise(r,o),async()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})}),async(a,{subPath:n})=>await this.makeCallPromise(o,async()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})},async(u,{subPath:A})=>{if(a!==u)throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"});return await a.renamePromise(n,A)}))}renameSync(r,o){return this.makeCallSync(r,()=>this.makeCallSync(o,()=>this.baseFs.renameSync(r,o),()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})}),(a,{subPath:n})=>this.makeCallSync(o,()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})},(u,{subPath:A})=>{if(a!==u)throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"});return a.renameSync(n,A)}))}async copyFilePromise(r,o,a=0){let n=async(u,A,p,h)=>{if((a&jg.constants.COPYFILE_FICLONE_FORCE)!==0)throw Object.assign(new Error(`EXDEV: cross-device clone not permitted, copyfile '${A}' -> ${h}'`),{code:"EXDEV"});if(a&jg.constants.COPYFILE_EXCL&&await this.existsPromise(A))throw Object.assign(new Error(`EEXIST: file already exists, copyfile '${A}' -> '${h}'`),{code:"EEXIST"});let E;try{E=await u.readFilePromise(A)}catch{throw Object.assign(new Error(`EINVAL: invalid argument, copyfile '${A}' -> '${h}'`),{code:"EINVAL"})}await p.writeFilePromise(h,E)};return await this.makeCallPromise(r,async()=>await this.makeCallPromise(o,async()=>await this.baseFs.copyFilePromise(r,o,a),async(u,{subPath:A})=>await n(this.baseFs,r,u,A)),async(u,{subPath:A})=>await this.makeCallPromise(o,async()=>await n(u,A,this.baseFs,o),async(p,{subPath:h})=>u!==p?await n(u,A,p,h):await u.copyFilePromise(A,h,a)))}copyFileSync(r,o,a=0){let n=(u,A,p,h)=>{if((a&jg.constants.COPYFILE_FICLONE_FORCE)!==0)throw Object.assign(new Error(`EXDEV: cross-device clone not permitted, copyfile '${A}' -> ${h}'`),{code:"EXDEV"});if(a&jg.constants.COPYFILE_EXCL&&this.existsSync(A))throw Object.assign(new Error(`EEXIST: file already exists, copyfile '${A}' -> '${h}'`),{code:"EEXIST"});let E;try{E=u.readFileSync(A)}catch{throw Object.assign(new Error(`EINVAL: invalid argument, copyfile '${A}' -> '${h}'`),{code:"EINVAL"})}p.writeFileSync(h,E)};return this.makeCallSync(r,()=>this.makeCallSync(o,()=>this.baseFs.copyFileSync(r,o,a),(u,{subPath:A})=>n(this.baseFs,r,u,A)),(u,{subPath:A})=>this.makeCallSync(o,()=>n(u,A,this.baseFs,o),(p,{subPath:h})=>u!==p?n(u,A,p,h):u.copyFileSync(A,h,a)))}async appendFilePromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.appendFilePromise(r,o,a),async(n,{subPath:u})=>await n.appendFilePromise(u,o,a))}appendFileSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.appendFileSync(r,o,a),(n,{subPath:u})=>n.appendFileSync(u,o,a))}async writeFilePromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.writeFilePromise(r,o,a),async(n,{subPath:u})=>await n.writeFilePromise(u,o,a))}writeFileSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.writeFileSync(r,o,a),(n,{subPath:u})=>n.writeFileSync(u,o,a))}async unlinkPromise(r){return await this.makeCallPromise(r,async()=>await this.baseFs.unlinkPromise(r),async(o,{subPath:a})=>await o.unlinkPromise(a))}unlinkSync(r){return this.makeCallSync(r,()=>this.baseFs.unlinkSync(r),(o,{subPath:a})=>o.unlinkSync(a))}async utimesPromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.utimesPromise(r,o,a),async(n,{subPath:u})=>await n.utimesPromise(u,o,a))}utimesSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.utimesSync(r,o,a),(n,{subPath:u})=>n.utimesSync(u,o,a))}async lutimesPromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.lutimesPromise(r,o,a),async(n,{subPath:u})=>await n.lutimesPromise(u,o,a))}lutimesSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.lutimesSync(r,o,a),(n,{subPath:u})=>n.lutimesSync(u,o,a))}async mkdirPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.mkdirPromise(r,o),async(a,{subPath:n})=>await a.mkdirPromise(n,o))}mkdirSync(r,o){return this.makeCallSync(r,()=>this.baseFs.mkdirSync(r,o),(a,{subPath:n})=>a.mkdirSync(n,o))}async rmdirPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.rmdirPromise(r,o),async(a,{subPath:n})=>await a.rmdirPromise(n,o))}rmdirSync(r,o){return this.makeCallSync(r,()=>this.baseFs.rmdirSync(r,o),(a,{subPath:n})=>a.rmdirSync(n,o))}async linkPromise(r,o){return await this.makeCallPromise(o,async()=>await this.baseFs.linkPromise(r,o),async(a,{subPath:n})=>await a.linkPromise(r,n))}linkSync(r,o){return this.makeCallSync(o,()=>this.baseFs.linkSync(r,o),(a,{subPath:n})=>a.linkSync(r,n))}async symlinkPromise(r,o,a){return await this.makeCallPromise(o,async()=>await this.baseFs.symlinkPromise(r,o,a),async(n,{subPath:u})=>await n.symlinkPromise(r,u))}symlinkSync(r,o,a){return this.makeCallSync(o,()=>this.baseFs.symlinkSync(r,o,a),(n,{subPath:u})=>n.symlinkSync(r,u))}async readFilePromise(r,o){return this.makeCallPromise(r,async()=>await this.baseFs.readFilePromise(r,o),async(a,{subPath:n})=>await a.readFilePromise(n,o))}readFileSync(r,o){return this.makeCallSync(r,()=>this.baseFs.readFileSync(r,o),(a,{subPath:n})=>a.readFileSync(n,o))}async readdirPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.readdirPromise(r,o),async(a,{subPath:n})=>await a.readdirPromise(n,o),{requireSubpath:!1})}readdirSync(r,o){return this.makeCallSync(r,()=>this.baseFs.readdirSync(r,o),(a,{subPath:n})=>a.readdirSync(n,o),{requireSubpath:!1})}async readlinkPromise(r){return await this.makeCallPromise(r,async()=>await this.baseFs.readlinkPromise(r),async(o,{subPath:a})=>await o.readlinkPromise(a))}readlinkSync(r){return this.makeCallSync(r,()=>this.baseFs.readlinkSync(r),(o,{subPath:a})=>o.readlinkSync(a))}async truncatePromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.truncatePromise(r,o),async(a,{subPath:n})=>await a.truncatePromise(n,o))}truncateSync(r,o){return this.makeCallSync(r,()=>this.baseFs.truncateSync(r,o),(a,{subPath:n})=>a.truncateSync(n,o))}async ftruncatePromise(r,o){if((r&wa)!==this.magic)return this.baseFs.ftruncatePromise(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("ftruncate");let[n,u]=a;return n.ftruncatePromise(u,o)}ftruncateSync(r,o){if((r&wa)!==this.magic)return this.baseFs.ftruncateSync(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("ftruncateSync");let[n,u]=a;return n.ftruncateSync(u,o)}watch(r,o,a){return this.makeCallSync(r,()=>this.baseFs.watch(r,o,a),(n,{subPath:u})=>n.watch(u,o,a))}watchFile(r,o,a){return this.makeCallSync(r,()=>this.baseFs.watchFile(r,o,a),()=>ry(this,r,o,a))}unwatchFile(r,o){return this.makeCallSync(r,()=>this.baseFs.unwatchFile(r,o),()=>Mg(this,r,o))}async makeCallPromise(r,o,a,{requireSubpath:n=!0}={}){if(typeof r!="string")return await o();let u=this.resolve(r),A=this.findMount(u);return A?n&&A.subPath==="/"?await o():await this.getMountPromise(A.archivePath,async p=>await a(p,A)):await o()}makeCallSync(r,o,a,{requireSubpath:n=!0}={}){if(typeof r!="string")return o();let u=this.resolve(r),A=this.findMount(u);return!A||n&&A.subPath==="/"?o():this.getMountSync(A.archivePath,p=>a(p,A))}findMount(r){if(this.filter&&!this.filter.test(r))return null;let o="";for(;;){let a=r.substring(o.length),n=this.getMountPoint(a,o);if(!n)return null;if(o=this.pathUtils.join(o,n),!this.isMount.has(o)){if(this.notMount.has(o))continue;try{if(this.typeCheck!==null&&(this.baseFs.lstatSync(o).mode&jg.constants.S_IFMT)!==this.typeCheck){this.notMount.add(o);continue}}catch{return null}this.isMount.add(o)}return{archivePath:o,subPath:this.pathUtils.join(Bt.root,r.substring(o.length))}}}limitOpenFiles(r){if(this.mountInstances===null)return;let o=Date.now(),a=o+this.maxAge,n=r===null?0:this.mountInstances.size-r;for(let[u,{childFs:A,expiresAt:p,refCount:h}]of this.mountInstances.entries())if(!(h!==0||A.hasOpenFileHandles?.())){if(o>=p){A.saveAndClose?.(),this.mountInstances.delete(u),n-=1;continue}else if(r===null||n<=0){a=p;break}A.saveAndClose?.(),this.mountInstances.delete(u),n-=1}this.limitOpenFilesTimeout===null&&(r===null&&this.mountInstances.size>0||r!==null)&&isFinite(a)&&(this.limitOpenFilesTimeout=setTimeout(()=>{this.limitOpenFilesTimeout=null,this.limitOpenFiles(null)},a-o).unref())}async getMountPromise(r,o){if(this.mountInstances){let a=this.mountInstances.get(r);if(!a){let n=await this.factoryPromise(this.baseFs,r);a=this.mountInstances.get(r),a||(a={childFs:n(),expiresAt:0,refCount:0})}this.mountInstances.delete(r),this.limitOpenFiles(this.maxOpenFiles-1),this.mountInstances.set(r,a),a.expiresAt=Date.now()+this.maxAge,a.refCount+=1;try{return await o(a.childFs)}finally{a.refCount-=1}}else{let a=(await this.factoryPromise(this.baseFs,r))();try{return await o(a)}finally{a.saveAndClose?.()}}}getMountSync(r,o){if(this.mountInstances){let a=this.mountInstances.get(r);return a||(a={childFs:this.factorySync(this.baseFs,r),expiresAt:0,refCount:0}),this.mountInstances.delete(r),this.limitOpenFiles(this.maxOpenFiles-1),this.mountInstances.set(r,a),a.expiresAt=Date.now()+this.maxAge,o(a.childFs)}else{let a=this.factorySync(this.baseFs,r);try{return o(a)}finally{a.saveAndClose?.()}}}}});var Zt,KT,Gw,$7=Et(()=>{_g();Ca();Zt=()=>Object.assign(new Error("ENOSYS: unsupported filesystem access"),{code:"ENOSYS"}),KT=class extends hf{constructor(){super(K)}getExtractHint(){throw Zt()}getRealPath(){throw Zt()}resolve(){throw Zt()}async openPromise(){throw Zt()}openSync(){throw Zt()}async opendirPromise(){throw Zt()}opendirSync(){throw Zt()}async readPromise(){throw Zt()}readSync(){throw Zt()}async writePromise(){throw Zt()}writeSync(){throw Zt()}async closePromise(){throw Zt()}closeSync(){throw Zt()}createWriteStream(){throw Zt()}createReadStream(){throw Zt()}async realpathPromise(){throw Zt()}realpathSync(){throw Zt()}async readdirPromise(){throw Zt()}readdirSync(){throw Zt()}async existsPromise(e){throw Zt()}existsSync(e){throw Zt()}async accessPromise(){throw Zt()}accessSync(){throw Zt()}async statPromise(){throw Zt()}statSync(){throw Zt()}async fstatPromise(e){throw Zt()}fstatSync(e){throw Zt()}async lstatPromise(e){throw Zt()}lstatSync(e){throw Zt()}async fchmodPromise(){throw Zt()}fchmodSync(){throw Zt()}async chmodPromise(){throw Zt()}chmodSync(){throw Zt()}async fchownPromise(){throw Zt()}fchownSync(){throw Zt()}async chownPromise(){throw Zt()}chownSync(){throw Zt()}async mkdirPromise(){throw Zt()}mkdirSync(){throw Zt()}async rmdirPromise(){throw Zt()}rmdirSync(){throw Zt()}async linkPromise(){throw Zt()}linkSync(){throw Zt()}async symlinkPromise(){throw Zt()}symlinkSync(){throw Zt()}async renamePromise(){throw Zt()}renameSync(){throw Zt()}async copyFilePromise(){throw Zt()}copyFileSync(){throw Zt()}async appendFilePromise(){throw Zt()}appendFileSync(){throw Zt()}async writeFilePromise(){throw Zt()}writeFileSync(){throw Zt()}async unlinkPromise(){throw Zt()}unlinkSync(){throw Zt()}async utimesPromise(){throw Zt()}utimesSync(){throw Zt()}async lutimesPromise(){throw Zt()}lutimesSync(){throw Zt()}async readFilePromise(){throw Zt()}readFileSync(){throw Zt()}async readlinkPromise(){throw Zt()}readlinkSync(){throw Zt()}async truncatePromise(){throw Zt()}truncateSync(){throw Zt()}async ftruncatePromise(e,r){throw Zt()}ftruncateSync(e,r){throw Zt()}watch(){throw Zt()}watchFile(){throw Zt()}unwatchFile(){throw Zt()}},Gw=KT;Gw.instance=new KT});var Hp,eY=Et(()=>{gf();Ca();Hp=class extends Ps{constructor(r){super(ue);this.baseFs=r}mapFromBase(r){return ue.fromPortablePath(r)}mapToBase(r){return ue.toPortablePath(r)}}});var R_e,JT,N_e,mi,tY=Et(()=>{Hg();gf();Ca();R_e=/^[0-9]+$/,JT=/^(\/(?:[^/]+\/)*?(?:\$\$virtual|__virtual__))((?:\/((?:[^/]+-)?[a-f0-9]+)(?:\/([^/]+))?)?((?:\/.*)?))$/,N_e=/^([^/]+-)?[a-f0-9]+$/,mi=class extends Ps{constructor({baseFs:r=new Rn}={}){super(K);this.baseFs=r}static makeVirtualPath(r,o,a){if(K.basename(r)!=="__virtual__")throw new Error('Assertion failed: Virtual folders must be named "__virtual__"');if(!K.basename(o).match(N_e))throw new Error("Assertion failed: Virtual components must be ended by an hexadecimal hash");let u=K.relative(K.dirname(r),a).split("/"),A=0;for(;A<u.length&&u[A]==="..";)A+=1;let p=u.slice(A);return K.join(r,o,String(A),...p)}static resolveVirtual(r){let o=r.match(JT);if(!o||!o[3]&&o[5])return r;let a=K.dirname(o[1]);if(!o[3]||!o[4])return a;if(!R_e.test(o[4]))return r;let u=Number(o[4]),A="../".repeat(u),p=o[5]||".";return mi.resolveVirtual(K.join(a,A,p))}getExtractHint(r){return this.baseFs.getExtractHint(r)}getRealPath(){return this.baseFs.getRealPath()}realpathSync(r){let o=r.match(JT);if(!o)return this.baseFs.realpathSync(r);if(!o[5])return r;let a=this.baseFs.realpathSync(this.mapToBase(r));return mi.makeVirtualPath(o[1],o[3],a)}async realpathPromise(r){let o=r.match(JT);if(!o)return await this.baseFs.realpathPromise(r);if(!o[5])return r;let a=await this.baseFs.realpathPromise(this.mapToBase(r));return mi.makeVirtualPath(o[1],o[3],a)}mapToBase(r){if(r==="")return r;if(this.pathUtils.isAbsolute(r))return mi.resolveVirtual(r);let o=mi.resolveVirtual(this.baseFs.resolve(Bt.dot)),a=mi.resolveVirtual(this.baseFs.resolve(r));return K.relative(o,a)||Bt.dot}mapFromBase(r){return r}}});function L_e(t,e){return typeof zT.default.isUtf8<"u"?zT.default.isUtf8(t):Buffer.byteLength(e)===t.byteLength}var zT,kD,rY,bD,nY=Et(()=>{zT=$e(Be("buffer")),kD=Be("url"),rY=Be("util");gf();Ca();bD=class extends Ps{constructor(r){super(ue);this.baseFs=r}mapFromBase(r){return r}mapToBase(r){if(typeof r=="string")return r;if(r instanceof kD.URL)return(0,kD.fileURLToPath)(r);if(Buffer.isBuffer(r)){let o=r.toString();if(!L_e(r,o))throw new Error("Non-utf8 buffers are not supported at the moment. 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N,V,re;if(N=G,V=[],re=fa(),re===r&&(ml.test(t.charAt(G))?(re=t.charAt(G),G++):(re=r,ct===0&&Ct(yl))),re!==r)for(;re!==r;)V.push(re),re=fa(),re===r&&(ml.test(t.charAt(G))?(re=t.charAt(G),G++):(re=r,ct===0&&Ct(yl)));else V=r;return V!==r&&(Dt=N,V=Os(V)),N=V,N}function fa(){var N,V,re;return N=G,t.substr(G,2)===ao?(V=ao,G+=2):(V=r,ct===0&&Ct(Kn)),V!==r&&(Dt=N,V=Mn()),N=V,N===r&&(N=G,t.charCodeAt(G)===92?(V=Ni,G++):(V=r,ct===0&&Ct(On)),V!==r?(_i.test(t.charAt(G))?(re=t.charAt(G),G++):(re=r,ct===0&&Ct(tr)),re!==r?(Dt=N,V=Me(re),N=V):(G=N,N=r)):(G=N,N=r)),N}function ln(){var N,V,re;for(N=G,V=[],re=Ao(),re===r&&(Dn.test(t.charAt(G))?(re=t.charAt(G),G++):(re=r,ct===0&&Ct(oo)));re!==r;)V.push(re),re=Ao(),re===r&&(Dn.test(t.charAt(G))?(re=t.charAt(G),G++):(re=r,ct===0&&Ct(oo)));return V!==r&&(Dt=N,V=Os(V)),N=V,N}function Ao(){var N,V,re;return 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N,V,re,he,ze,mt;if(N=G,t.charCodeAt(G)===45?(V=Us,G++):(V=r,ct===0&&Ct(aa)),V===r&&(t.charCodeAt(G)===43?(V=la,G++):(V=r,ct===0&&Ct(Ho))),V===r&&(V=null),V!==r){if(re=[],Je.test(t.charAt(G))?(he=t.charAt(G),G++):(he=r,ct===0&&Ct(He)),he!==r)for(;he!==r;)re.push(he),Je.test(t.charAt(G))?(he=t.charAt(G),G++):(he=r,ct===0&&Ct(He));else re=r;if(re!==r)if(t.charCodeAt(G)===46?(he=wi,G++):(he=r,ct===0&&Ct(gs)),he!==r){if(ze=[],Je.test(t.charAt(G))?(mt=t.charAt(G),G++):(mt=r,ct===0&&Ct(He)),mt!==r)for(;mt!==r;)ze.push(mt),Je.test(t.charAt(G))?(mt=t.charAt(G),G++):(mt=r,ct===0&&Ct(He));else ze=r;ze!==r?(Dt=N,V=ds(V,re,ze),N=V):(G=N,N=r)}else G=N,N=r;else G=N,N=r}else 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N,V,re,he,ze,mt,fr,Cr;if(N=G,V=vc(),V!==r){for(re=[],he=G,ze=[],mt=Qt();mt!==r;)ze.push(mt),mt=Qt();if(ze!==r)if(t.charCodeAt(G)===42?(mt=ys,G++):(mt=r,ct===0&&Ct(We)),mt===r&&(t.charCodeAt(G)===47?(mt=tt,G++):(mt=r,ct===0&&Ct(It))),mt!==r){for(fr=[],Cr=Qt();Cr!==r;)fr.push(Cr),Cr=Qt();fr!==r?(Cr=vc(),Cr!==r?(Dt=he,ze=nr(V,mt,Cr),he=ze):(G=he,he=r)):(G=he,he=r)}else G=he,he=r;else G=he,he=r;for(;he!==r;){for(re.push(he),he=G,ze=[],mt=Qt();mt!==r;)ze.push(mt),mt=Qt();if(ze!==r)if(t.charCodeAt(G)===42?(mt=ys,G++):(mt=r,ct===0&&Ct(We)),mt===r&&(t.charCodeAt(G)===47?(mt=tt,G++):(mt=r,ct===0&&Ct(It))),mt!==r){for(fr=[],Cr=Qt();Cr!==r;)fr.push(Cr),Cr=Qt();fr!==r?(Cr=vc(),Cr!==r?(Dt=he,ze=nr(V,mt,Cr),he=ze):(G=he,he=r)):(G=he,he=r)}else G=he,he=r;else G=he,he=r}re!==r?(Dt=N,V=$(V,re),N=V):(G=N,N=r)}else G=N,N=r;return N}function ts(){var 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N,V,re,he,ze,mt;if(N=G,t.substr(G,3)===Le?(V=Le,G+=3):(V=r,ct===0&&Ct(ft)),V!==r){for(re=[],he=Qt();he!==r;)re.push(he),he=Qt();if(re!==r)if(he=ts(),he!==r){for(ze=[],mt=Qt();mt!==r;)ze.push(mt),mt=Qt();ze!==r?(t.substr(G,2)===pt?(mt=pt,G+=2):(mt=r,ct===0&&Ct(Rt)),mt!==r?(Dt=N,V=er(he),N=V):(G=N,N=r)):(G=N,N=r)}else G=N,N=r;else G=N,N=r}else G=N,N=r;return N}function yp(){var N,V,re,he;return N=G,t.substr(G,2)===Zr?(V=Zr,G+=2):(V=r,ct===0&&Ct(qi)),V!==r?(re=Cu(),re!==r?(t.charCodeAt(G)===41?(he=ne,G++):(he=r,ct===0&&Ct(ee)),he!==r?(Dt=N,V=es(re),N=V):(G=N,N=r)):(G=N,N=r)):(G=N,N=r),N}function Dc(){var N,V,re,he,ze,mt;return 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r,o=t.tag,a=t.anchor,n=[],u,A=!1,p;for(t.anchor!==null&&(t.anchorMap[t.anchor]=n),p=t.input.charCodeAt(t.position);p!==0&&!(p!==45||(u=t.input.charCodeAt(t.position+1),!Ia(u)));){if(A=!0,t.position++,Wi(t,!0,-1)&&t.lineIndent<=e){n.push(null),p=t.input.charCodeAt(t.position);continue}if(r=t.line,gy(t,e,dV,!1,!0),n.push(t.result),Wi(t,!0,-1),p=t.input.charCodeAt(t.position),(t.line===r||t.lineIndent>e)&&p!==0)Sr(t,"bad indentation of a sequence entry");else if(t.lineIndent<e)break}return A?(t.tag=o,t.anchor=a,t.kind="sequence",t.result=n,!0):!1}function l6e(t,e,r){var o,a,n,u,A=t.tag,p=t.anchor,h={},E={},I=null,v=null,b=null,C=!1,T=!1,L;for(t.anchor!==null&&(t.anchorMap[t.anchor]=h),L=t.input.charCodeAt(t.position);L!==0;){if(o=t.input.charCodeAt(t.position+1),n=t.line,u=t.position,(L===63||L===58)&&Ia(o))L===63?(C&&(hy(t,h,E,I,v,null),I=v=b=null),T=!0,C=!0,a=!0):C?(C=!1,a=!0):Sr(t,"incomplete explicit mapping pair; a key node is missed; or followed by a non-tabulated empty 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e,r=!1,o=!1,a,n,u;if(u=t.input.charCodeAt(t.position),u!==33)return!1;if(t.tag!==null&&Sr(t,"duplication of a tag property"),u=t.input.charCodeAt(++t.position),u===60?(r=!0,u=t.input.charCodeAt(++t.position)):u===33?(o=!0,a="!!",u=t.input.charCodeAt(++t.position)):a="!",e=t.position,r){do u=t.input.charCodeAt(++t.position);while(u!==0&&u!==62);t.position<t.length?(n=t.input.slice(e,t.position),u=t.input.charCodeAt(++t.position)):Sr(t,"unexpected end of the stream within a verbatim tag")}else{for(;u!==0&&!Ia(u);)u===33&&(o?Sr(t,"tag suffix cannot contain exclamation marks"):(a=t.input.slice(e-1,t.position+1),mV.test(a)||Sr(t,"named tag handle cannot contain such characters"),o=!0,e=t.position+1)),u=t.input.charCodeAt(++t.position);n=t.input.slice(e,t.position),XHe.test(n)&&Sr(t,"tag suffix cannot contain flow indicator characters")}return n&&!yV.test(n)&&Sr(t,"tag name cannot contain such characters: 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n,u,A,p=1,h=!1,E=!1,I,v,b,C,T;if(t.listener!==null&&t.listener("open",t),t.tag=null,t.anchor=null,t.kind=null,t.result=null,n=u=A=YD===r||dV===r,o&&Wi(t,!0,-1)&&(h=!0,t.lineIndent>e?p=1:t.lineIndent===e?p=0:t.lineIndent<e&&(p=-1)),p===1)for(;c6e(t)||u6e(t);)Wi(t,!0,-1)?(h=!0,A=n,t.lineIndent>e?p=1:t.lineIndent===e?p=0:t.lineIndent<e&&(p=-1)):A=!1;if(A&&(A=h||a),(p===1||YD===r)&&(GD===r||gV===r?C=e:C=e+1,T=t.position-t.lineStart,p===1?A&&(fV(t,T)||l6e(t,T,C))||o6e(t,C)?E=!0:(u&&a6e(t,C)||i6e(t,C)||s6e(t,C)?E=!0:A6e(t)?(E=!0,(t.tag!==null||t.anchor!==null)&&Sr(t,"alias node should not have any properties")):n6e(t,C,GD===r)&&(E=!0,t.tag===null&&(t.tag="?")),t.anchor!==null&&(t.anchorMap[t.anchor]=t.result)):p===0&&(E=A&&fV(t,T))),t.tag!==null&&t.tag!=="!")if(t.tag==="?"){for(t.result!==null&&t.kind!=="scalar"&&Sr(t,'unacceptable node kind for !<?> tag; it should be "scalar", not 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r=IV(t,e);if(r.length!==0){if(r.length===1)return r[0];throw new pV("expected a single document in the stream, but found more")}}function p6e(t,e,r){return typeof e=="object"&&e!==null&&typeof r>"u"&&(r=e,e=null),BV(t,e,mf.extend({schema:hV},r))}function h6e(t,e){return vV(t,mf.extend({schema:hV},e))}Xw.exports.loadAll=BV;Xw.exports.load=vV;Xw.exports.safeLoadAll=p6e;Xw.exports.safeLoad=h6e});var KV=_((fbt,vR)=>{"use strict";var $w=Vg(),eI=uy(),g6e=zw(),d6e=fy(),TV=Object.prototype.toString,RV=Object.prototype.hasOwnProperty,m6e=9,Zw=10,y6e=13,E6e=32,C6e=33,w6e=34,NV=35,I6e=37,B6e=38,v6e=39,D6e=42,LV=44,P6e=45,MV=58,S6e=61,x6e=62,b6e=63,k6e=64,OV=91,UV=93,Q6e=96,_V=123,F6e=124,HV=125,vo={};vo[0]="\\0";vo[7]="\\a";vo[8]="\\b";vo[9]="\\t";vo[10]="\\n";vo[11]="\\v";vo[12]="\\f";vo[13]="\\r";vo[27]="\\e";vo[34]='\\"';vo[92]="\\\\";vo[133]="\\N";vo[160]="\\_";vo[8232]="\\L";vo[8233]="\\P";var T6e=["y","Y","yes","Yes","YES","on","On","ON","n","N","no","No","NO","off","Off","OFF"];function 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BGe=ZR(),vGe=$R(),DGe=dI(),PGe=EP(),SGe=yP(),xGe=CP(),bGe=(t,e,r,o)=>{switch(e){case"===":return typeof t=="object"&&(t=t.version),typeof r=="object"&&(r=r.version),t===r;case"!==":return typeof t=="object"&&(t=t.version),typeof r=="object"&&(r=r.version),t!==r;case"":case"=":case"==":return BGe(t,r,o);case"!=":return vGe(t,r,o);case">":return DGe(t,r,o);case">=":return PGe(t,r,o);case"<":return SGe(t,r,o);case"<=":return xGe(t,r,o);default:throw new TypeError(`Invalid operator: ${e}`)}};$J.exports=bGe});var tz=_((oQt,ez)=>{var kGe=Po(),QGe=id(),{safeRe:wP,t:IP}=By(),FGe=(t,e)=>{if(t instanceof kGe)return t;if(typeof t=="number"&&(t=String(t)),typeof t!="string")return null;e=e||{};let r=null;if(!e.rtl)r=t.match(wP[IP.COERCE]);else{let o;for(;(o=wP[IP.COERCERTL].exec(t))&&(!r||r.index+r[0].length!==t.length);)(!r||o.index+o[0].length!==r.index+r[0].length)&&(r=o),wP[IP.COERCERTL].lastIndex=o.index+o[1].length+o[2].length;wP[IP.COERCERTL].lastIndex=-1}return r===null?null:QGe(`${r[2]}.${r[3]||"0"}.${r[4]||"0"}`,e)};ez.exports=FGe});var nz=_((aQt,rz)=>{"use strict";rz.exports=function(t){t.prototype[Symbol.iterator]=function*(){for(let e=this.head;e;e=e.next)yield e.value}}});var BP=_((lQt,iz)=>{"use strict";iz.exports=Cn;Cn.Node=sd;Cn.create=Cn;function Cn(t){var e=this;if(e instanceof Cn||(e=new Cn),e.tail=null,e.head=null,e.length=0,t&&typeof t.forEach=="function")t.forEach(function(a){e.push(a)});else if(arguments.length>0)for(var r=0,o=arguments.length;r<o;r++)e.push(arguments[r]);return e}Cn.prototype.removeNode=function(t){if(t.list!==this)throw new Error("removing node which does not belong to this list");var e=t.next,r=t.prev;return e&&(e.prev=r),r&&(r.next=e),t===this.head&&(this.head=e),t===this.tail&&(this.tail=r),t.list.length--,t.next=null,t.prev=null,t.list=null,e};Cn.prototype.unshiftNode=function(t){if(t!==this.head){t.list&&t.list.removeNode(t);var e=this.head;t.list=this,t.next=e,e&&(e.prev=t),this.head=t,this.tail||(this.tail=t),this.length++}};Cn.prototype.pushNode=function(t){if(t!==this.tail){t.list&&t.list.removeNode(t);var e=this.tail;t.list=this,t.prev=e,e&&(e.next=t),this.tail=t,this.head||(this.head=t),this.length++}};Cn.prototype.push=function(){for(var t=0,e=arguments.length;t<e;t++)RGe(this,arguments[t]);return this.length};Cn.prototype.unshift=function(){for(var t=0,e=arguments.length;t<e;t++)NGe(this,arguments[t]);return this.length};Cn.prototype.pop=function(){if(!!this.tail){var t=this.tail.value;return this.tail=this.tail.prev,this.tail?this.tail.next=null:this.head=null,this.length--,t}};Cn.prototype.shift=function(){if(!!this.head){var t=this.head.value;return this.head=this.head.next,this.head?this.head.prev=null:this.tail=null,this.length--,t}};Cn.prototype.forEach=function(t,e){e=e||this;for(var 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r};Cn.prototype.reduceReverse=function(t,e){var r,o=this.tail;if(arguments.length>1)r=e;else if(this.tail)o=this.tail.prev,r=this.tail.value;else throw new TypeError("Reduce of empty list with no initial value");for(var a=this.length-1;o!==null;a--)r=t(r,o.value,a),o=o.prev;return r};Cn.prototype.toArray=function(){for(var t=new Array(this.length),e=0,r=this.head;r!==null;e++)t[e]=r.value,r=r.next;return t};Cn.prototype.toArrayReverse=function(){for(var t=new Array(this.length),e=0,r=this.tail;r!==null;e++)t[e]=r.value,r=r.prev;return t};Cn.prototype.slice=function(t,e){e=e||this.length,e<0&&(e+=this.length),t=t||0,t<0&&(t+=this.length);var r=new Cn;if(e<t||e<0)return r;t<0&&(t=0),e>this.length&&(e=this.length);for(var o=0,a=this.head;a!==null&&o<t;o++)a=a.next;for(;a!==null&&o<e;o++,a=a.next)r.push(a.value);return r};Cn.prototype.sliceReverse=function(t,e){e=e||this.length,e<0&&(e+=this.length),t=t||0,t<0&&(t+=this.length);var r=new Cn;if(e<t||e<0)return r;t<0&&(t=0),e>this.length&&(e=this.length);for(var o=this.length,a=this.tail;a!==null&&o>e;o--)a=a.prev;for(;a!==null&&o>t;o--,a=a.prev)r.push(a.value);return r};Cn.prototype.splice=function(t,e,...r){t>this.length&&(t=this.length-1),t<0&&(t=this.length+t);for(var o=0,a=this.head;a!==null&&o<t;o++)a=a.next;for(var n=[],o=0;a&&o<e;o++)n.push(a.value),a=this.removeNode(a);a===null&&(a=this.tail),a!==this.head&&a!==this.tail&&(a=a.prev);for(var o=0;o<r.length;o++)a=TGe(this,a,r[o]);return n};Cn.prototype.reverse=function(){for(var t=this.head,e=this.tail,r=t;r!==null;r=r.prev){var o=r.prev;r.prev=r.next,r.next=o}return this.head=e,this.tail=t,this};function TGe(t,e,r){var o=e===t.head?new sd(r,null,e,t):new sd(r,e,e.next,t);return o.next===null&&(t.tail=o),o.prev===null&&(t.head=o),t.length++,o}function RGe(t,e){t.tail=new sd(e,t.tail,null,t),t.head||(t.head=t.tail),t.length++}function NGe(t,e){t.head=new sd(e,null,t.head,t),t.tail||(t.tail=t.head),t.length++}function 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MGe({max:1e3}),OGe=hP(),sN=EI(),ci=gI(),UGe=Po(),{safeRe:Da,t:zo,comparatorTrimReplace:_Ge,tildeTrimReplace:HGe,caretTrimReplace:jGe}=By(),{FLAG_INCLUDE_PRERELEASE:qGe,FLAG_LOOSE:GGe}=hI(),Az=t=>t.value==="<0.0.0-0",YGe=t=>t.value==="",fz=(t,e)=>{let r=!0,o=t.slice(),a=o.pop();for(;r&&o.length;)r=o.every(n=>a.intersects(n,e)),a=o.pop();return r},WGe=(t,e)=>(ci("comp",t,e),t=JGe(t,e),ci("caret",t),t=VGe(t,e),ci("tildes",t),t=XGe(t,e),ci("xrange",t),t=$Ge(t,e),ci("stars",t),t),Xo=t=>!t||t.toLowerCase()==="x"||t==="*",VGe=(t,e)=>t.trim().split(/\s+/).map(r=>KGe(r,e)).join(" "),KGe=(t,e)=>{let r=e.loose?Da[zo.TILDELOOSE]:Da[zo.TILDE];return t.replace(r,(o,a,n,u,A)=>{ci("tilde",t,o,a,n,u,A);let p;return Xo(a)?p="":Xo(n)?p=`>=${a}.0.0 <${+a+1}.0.0-0`:Xo(u)?p=`>=${a}.${n}.0 <${a}.${+n+1}.0-0`:A?(ci("replaceTilde pr",A),p=`>=${a}.${n}.${u}-${A} <${a}.${+n+1}.0-0`):p=`>=${a}.${n}.${u} <${a}.${+n+1}.0-0`,ci("tilde return",p),p})},JGe=(t,e)=>t.trim().split(/\s+/).map(r=>zGe(r,e)).join(" 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n5e=Ml(),i5e=(t,e,r)=>{try{e=new n5e(e,r)}catch{return!1}return e.test(t)};Cz.exports=i5e});var Iz=_((pQt,wz)=>{var s5e=Ml(),o5e=(t,e)=>new s5e(t,e).set.map(r=>r.map(o=>o.value).join(" ").trim().split(" "));wz.exports=o5e});var vz=_((hQt,Bz)=>{var a5e=Po(),l5e=Ml(),c5e=(t,e,r)=>{let o=null,a=null,n=null;try{n=new l5e(e,r)}catch{return null}return t.forEach(u=>{n.test(u)&&(!o||a.compare(u)===-1)&&(o=u,a=new a5e(o,r))}),o};Bz.exports=c5e});var Pz=_((gQt,Dz)=>{var u5e=Po(),A5e=Ml(),f5e=(t,e,r)=>{let o=null,a=null,n=null;try{n=new A5e(e,r)}catch{return null}return t.forEach(u=>{n.test(u)&&(!o||a.compare(u)===1)&&(o=u,a=new u5e(o,r))}),o};Dz.exports=f5e});var bz=_((dQt,xz)=>{var lN=Po(),p5e=Ml(),Sz=dI(),h5e=(t,e)=>{t=new p5e(t,e);let r=new lN("0.0.0");if(t.test(r)||(r=new lN("0.0.0-0"),t.test(r)))return r;r=null;for(let o=0;o<t.set.length;++o){let a=t.set[o],n=null;a.forEach(u=>{let A=new 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pN=_((xQt,oX)=>{var BI=iX(),sX={};for(let t of Object.keys(BI))sX[BI[t]]=t;var Ar={rgb:{channels:3,labels:"rgb"},hsl:{channels:3,labels:"hsl"},hsv:{channels:3,labels:"hsv"},hwb:{channels:3,labels:"hwb"},cmyk:{channels:4,labels:"cmyk"},xyz:{channels:3,labels:"xyz"},lab:{channels:3,labels:"lab"},lch:{channels:3,labels:"lch"},hex:{channels:1,labels:["hex"]},keyword:{channels:1,labels:["keyword"]},ansi16:{channels:1,labels:["ansi16"]},ansi256:{channels:1,labels:["ansi256"]},hcg:{channels:3,labels:["h","c","g"]},apple:{channels:3,labels:["r16","g16","b16"]},gray:{channels:1,labels:["gray"]}};oX.exports=Ar;for(let t of Object.keys(Ar)){if(!("channels"in Ar[t]))throw new Error("missing channels property: "+t);if(!("labels"in Ar[t]))throw new Error("missing channel labels property: "+t);if(Ar[t].labels.length!==Ar[t].channels)throw new Error("channel and label counts mismatch: "+t);let{channels:e,labels:r}=Ar[t];delete Ar[t].channels,delete 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e=t[0]/255,r=t[1]/255,o=t[2]/255,a=Math.min(1-e,1-r,1-o),n=(1-e-a)/(1-a)||0,u=(1-r-a)/(1-a)||0,A=(1-o-a)/(1-a)||0;return[n*100,u*100,A*100,a*100]};function w9e(t,e){return(t[0]-e[0])**2+(t[1]-e[1])**2+(t[2]-e[2])**2}Ar.rgb.keyword=function(t){let e=sX[t];if(e)return e;let r=1/0,o;for(let a of Object.keys(BI)){let n=BI[a],u=w9e(t,n);u<r&&(r=u,o=a)}return o};Ar.keyword.rgb=function(t){return BI[t]};Ar.rgb.xyz=function(t){let e=t[0]/255,r=t[1]/255,o=t[2]/255;e=e>.04045?((e+.055)/1.055)**2.4:e/12.92,r=r>.04045?((r+.055)/1.055)**2.4:r/12.92,o=o>.04045?((o+.055)/1.055)**2.4:o/12.92;let a=e*.4124+r*.3576+o*.1805,n=e*.2126+r*.7152+o*.0722,u=e*.0193+r*.1192+o*.9505;return[a*100,n*100,u*100]};Ar.rgb.lab=function(t){let e=Ar.rgb.xyz(t),r=e[0],o=e[1],a=e[2];r/=95.047,o/=100,a/=108.883,r=r>.008856?r**(1/3):7.787*r+16/116,o=o>.008856?o**(1/3):7.787*o+16/116,a=a>.008856?a**(1/3):7.787*a+16/116;let n=116*o-16,u=500*(r-o),A=200*(o-a);return[n,u,A]};Ar.hsl.rgb=function(t){let e=t[0]/360,r=t[1]/100,o=t[2]/100,a,n,u;if(r===0)return u=o*255,[u,u,u];o<.5?a=o*(1+r):a=o+r-o*r;let A=2*o-a,p=[0,0,0];for(let h=0;h<3;h++)n=e+1/3*-(h-1),n<0&&n++,n>1&&n--,6*n<1?u=A+(a-A)*6*n:2*n<1?u=a:3*n<2?u=A+(a-A)*(2/3-n)*6:u=A,p[h]=u*255;return p};Ar.hsl.hsv=function(t){let e=t[0],r=t[1]/100,o=t[2]/100,a=r,n=Math.max(o,.01);o*=2,r*=o<=1?o:2-o,a*=n<=1?n:2-n;let u=(o+r)/2,A=o===0?2*a/(n+a):2*r/(o+r);return[e,A*100,u*100]};Ar.hsv.rgb=function(t){let e=t[0]/60,r=t[1]/100,o=t[2]/100,a=Math.floor(e)%6,n=e-Math.floor(e),u=255*o*(1-r),A=255*o*(1-r*n),p=255*o*(1-r*(1-n));switch(o*=255,a){case 0:return[o,p,u];case 1:return[A,o,u];case 2:return[u,o,p];case 3:return[u,A,o];case 4:return[p,u,o];case 5:return[o,u,A]}};Ar.hsv.hsl=function(t){let e=t[0],r=t[1]/100,o=t[2]/100,a=Math.max(o,.01),n,u;u=(2-r)*o;let A=(2-r)*a;return n=r*a,n/=A<=1?A:2-A,n=n||0,u/=2,[e,n*100,u*100]};Ar.hwb.rgb=function(t){let e=t[0]/360,r=t[1]/100,o=t[2]/100,a=r+o,n;a>1&&(r/=a,o/=a);let u=Math.floor(6*e),A=1-o;n=6*e-u,(u&1)!==0&&(n=1-n);let p=r+n*(A-r),h,E,I;switch(u){default:case 6:case 0:h=A,E=p,I=r;break;case 1:h=p,E=A,I=r;break;case 2:h=r,E=A,I=p;break;case 3:h=r,E=p,I=A;break;case 4:h=p,E=r,I=A;break;case 5:h=A,E=r,I=p;break}return[h*255,E*255,I*255]};Ar.cmyk.rgb=function(t){let e=t[0]/100,r=t[1]/100,o=t[2]/100,a=t[3]/100,n=1-Math.min(1,e*(1-a)+a),u=1-Math.min(1,r*(1-a)+a),A=1-Math.min(1,o*(1-a)+a);return[n*255,u*255,A*255]};Ar.xyz.rgb=function(t){let e=t[0]/100,r=t[1]/100,o=t[2]/100,a,n,u;return a=e*3.2406+r*-1.5372+o*-.4986,n=e*-.9689+r*1.8758+o*.0415,u=e*.0557+r*-.204+o*1.057,a=a>.0031308?1.055*a**(1/2.4)-.055:a*12.92,n=n>.0031308?1.055*n**(1/2.4)-.055:n*12.92,u=u>.0031308?1.055*u**(1/2.4)-.055:u*12.92,a=Math.min(Math.max(0,a),1),n=Math.min(Math.max(0,n),1),u=Math.min(Math.max(0,u),1),[a*255,n*255,u*255]};Ar.xyz.lab=function(t){let e=t[0],r=t[1],o=t[2];e/=95.047,r/=100,o/=108.883,e=e>.008856?e**(1/3):7.787*e+16/116,r=r>.008856?r**(1/3):7.787*r+16/116,o=o>.008856?o**(1/3):7.787*o+16/116;let a=116*r-16,n=500*(e-r),u=200*(r-o);return[a,n,u]};Ar.lab.xyz=function(t){let e=t[0],r=t[1],o=t[2],a,n,u;n=(e+16)/116,a=r/500+n,u=n-o/200;let A=n**3,p=a**3,h=u**3;return n=A>.008856?A:(n-16/116)/7.787,a=p>.008856?p:(a-16/116)/7.787,u=h>.008856?h:(u-16/116)/7.787,a*=95.047,n*=100,u*=108.883,[a,n,u]};Ar.lab.lch=function(t){let e=t[0],r=t[1],o=t[2],a;a=Math.atan2(o,r)*360/2/Math.PI,a<0&&(a+=360);let u=Math.sqrt(r*r+o*o);return[e,u,a]};Ar.lch.lab=function(t){let e=t[0],r=t[1],a=t[2]/360*2*Math.PI,n=r*Math.cos(a),u=r*Math.sin(a);return[e,n,u]};Ar.rgb.ansi16=function(t,e=null){let[r,o,a]=t,n=e===null?Ar.rgb.hsv(t)[2]:e;if(n=Math.round(n/50),n===0)return 30;let u=30+(Math.round(a/255)<<2|Math.round(o/255)<<1|Math.round(r/255));return n===2&&(u+=60),u};Ar.hsv.ansi16=function(t){return Ar.rgb.ansi16(Ar.hsv.rgb(t),t[2])};Ar.rgb.ansi256=function(t){let e=t[0],r=t[1],o=t[2];return e===r&&r===o?e<8?16:e>248?231:Math.round((e-8)/247*24)+232:16+36*Math.round(e/255*5)+6*Math.round(r/255*5)+Math.round(o/255*5)};Ar.ansi16.rgb=function(t){let e=t%10;if(e===0||e===7)return t>50&&(e+=3.5),e=e/10.5*255,[e,e,e];let r=(~~(t>50)+1)*.5,o=(e&1)*r*255,a=(e>>1&1)*r*255,n=(e>>2&1)*r*255;return[o,a,n]};Ar.ansi256.rgb=function(t){if(t>=232){let n=(t-232)*10+8;return[n,n,n]}t-=16;let e,r=Math.floor(t/36)/5*255,o=Math.floor((e=t%36)/6)/5*255,a=e%6/5*255;return[r,o,a]};Ar.rgb.hex=function(t){let r=(((Math.round(t[0])&255)<<16)+((Math.round(t[1])&255)<<8)+(Math.round(t[2])&255)).toString(16).toUpperCase();return"000000".substring(r.length)+r};Ar.hex.rgb=function(t){let e=t.toString(16).match(/[a-f0-9]{6}|[a-f0-9]{3}/i);if(!e)return[0,0,0];let r=e[0];e[0].length===3&&(r=r.split("").map(A=>A+A).join(""));let o=parseInt(r,16),a=o>>16&255,n=o>>8&255,u=o&255;return[a,n,u]};Ar.rgb.hcg=function(t){let e=t[0]/255,r=t[1]/255,o=t[2]/255,a=Math.max(Math.max(e,r),o),n=Math.min(Math.min(e,r),o),u=a-n,A,p;return u<1?A=n/(1-u):A=0,u<=0?p=0:a===e?p=(r-o)/u%6:a===r?p=2+(o-e)/u:p=4+(e-r)/u,p/=6,p%=1,[p*360,u*100,A*100]};Ar.hsl.hcg=function(t){let e=t[1]/100,r=t[2]/100,o=r<.5?2*e*r:2*e*(1-r),a=0;return o<1&&(a=(r-.5*o)/(1-o)),[t[0],o*100,a*100]};Ar.hsv.hcg=function(t){let e=t[1]/100,r=t[2]/100,o=e*r,a=0;return o<1&&(a=(r-o)/(1-o)),[t[0],o*100,a*100]};Ar.hcg.rgb=function(t){let e=t[0]/360,r=t[1]/100,o=t[2]/100;if(r===0)return[o*255,o*255,o*255];let a=[0,0,0],n=e%1*6,u=n%1,A=1-u,p=0;switch(Math.floor(n)){case 0:a[0]=1,a[1]=u,a[2]=0;break;case 1:a[0]=A,a[1]=1,a[2]=0;break;case 2:a[0]=0,a[1]=1,a[2]=u;break;case 3:a[0]=0,a[1]=A,a[2]=1;break;case 4:a[0]=u,a[1]=0,a[2]=1;break;default:a[0]=1,a[1]=0,a[2]=A}return p=(1-r)*o,[(r*a[0]+p)*255,(r*a[1]+p)*255,(r*a[2]+p)*255]};Ar.hcg.hsv=function(t){let e=t[1]/100,r=t[2]/100,o=e+r*(1-e),a=0;return o>0&&(a=e/o),[t[0],a*100,o*100]};Ar.hcg.hsl=function(t){let e=t[1]/100,o=t[2]/100*(1-e)+.5*e,a=0;return o>0&&o<.5?a=e/(2*o):o>=.5&&o<1&&(a=e/(2*(1-o))),[t[0],a*100,o*100]};Ar.hcg.hwb=function(t){let e=t[1]/100,r=t[2]/100,o=e+r*(1-e);return[t[0],(o-e)*100,(1-o)*100]};Ar.hwb.hcg=function(t){let e=t[1]/100,o=1-t[2]/100,a=o-e,n=0;return a<1&&(n=(o-a)/(1-a)),[t[0],a*100,n*100]};Ar.apple.rgb=function(t){return[t[0]/65535*255,t[1]/65535*255,t[2]/65535*255]};Ar.rgb.apple=function(t){return[t[0]/255*65535,t[1]/255*65535,t[2]/255*65535]};Ar.gray.rgb=function(t){return[t[0]/100*255,t[0]/100*255,t[0]/100*255]};Ar.gray.hsl=function(t){return[0,0,t[0]]};Ar.gray.hsv=Ar.gray.hsl;Ar.gray.hwb=function(t){return[0,100,t[0]]};Ar.gray.cmyk=function(t){return[0,0,0,t[0]]};Ar.gray.lab=function(t){return[t[0],0,0]};Ar.gray.hex=function(t){let e=Math.round(t[0]/100*255)&255,o=((e<<16)+(e<<8)+e).toString(16).toUpperCase();return"000000".substring(o.length)+o};Ar.rgb.gray=function(t){return[(t[0]+t[1]+t[2])/3/255*100]}});var lX=_((bQt,aX)=>{var SP=pN();function I9e(){let t={},e=Object.keys(SP);for(let r=e.length,o=0;o<r;o++)t[e[o]]={distance:-1,parent:null};return t}function B9e(t){let e=I9e(),r=[t];for(e[t].distance=0;r.length;){let o=r.pop(),a=Object.keys(SP[o]);for(let n=a.length,u=0;u<n;u++){let A=a[u],p=e[A];p.distance===-1&&(p.distance=e[o].distance+1,p.parent=o,r.unshift(A))}}return e}function v9e(t,e){return function(r){return e(t(r))}}function D9e(t,e){let r=[e[t].parent,t],o=SP[e[t].parent][t],a=e[t].parent;for(;e[a].parent;)r.unshift(e[a].parent),o=v9e(SP[e[a].parent][a],o),a=e[a].parent;return o.conversion=r,o}aX.exports=function(t){let e=B9e(t),r={},o=Object.keys(e);for(let a=o.length,n=0;n<a;n++){let u=o[n];e[u].parent!==null&&(r[u]=D9e(u,e))}return r}});var uX=_((kQt,cX)=>{var 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e=="object"?this.weakMap.set(e,r):this.map.set(e,r)}get(e){return typeof e=="object"?this.weakMap.get(e):this.map.get(e)}has(e){return typeof e=="object"?this.weakMap.has(e):this.map.has(e)}};m4.default=d4});var E4=_(y4=>{"use strict";Object.defineProperty(y4,"__esModule",{value:!0});var qit=async t=>{let e=[],r=0;for await(let o of t)e.push(o),r+=Buffer.byteLength(o);return Buffer.isBuffer(e[0])?Buffer.concat(e,r):Buffer.from(e.join(""))};y4.default=qit});var Fae=_(Pd=>{"use strict";Object.defineProperty(Pd,"__esModule",{value:!0});Pd.dnsLookupIpVersionToFamily=Pd.isDnsLookupIpVersion=void 0;var Qae={auto:0,ipv4:4,ipv6:6};Pd.isDnsLookupIpVersion=t=>t in Qae;Pd.dnsLookupIpVersionToFamily=t=>{if(Pd.isDnsLookupIpVersion(t))return Qae[t];throw new Error("Invalid DNS lookup IP version")}});var C4=_(ox=>{"use strict";Object.defineProperty(ox,"__esModule",{value:!0});ox.isResponseOk=void 0;ox.isResponseOk=t=>{let{statusCode:e}=t,r=t.request.options.followRedirect?299:399;return e>=200&&e<=r||e===304}});var Rae=_(w4=>{"use strict";Object.defineProperty(w4,"__esModule",{value:!0});var Tae=new Set;w4.default=t=>{Tae.has(t)||(Tae.add(t),process.emitWarning(`Got: ${t}`,{type:"DeprecationWarning"}))}});var Nae=_(I4=>{"use strict";Object.defineProperty(I4,"__esModule",{value:!0});var Ai=Tf(),Git=(t,e)=>{if(Ai.default.null_(t.encoding))throw new TypeError("To get a Buffer, set `options.responseType` to `buffer` instead");Ai.assert.any([Ai.default.string,Ai.default.undefined],t.encoding),Ai.assert.any([Ai.default.boolean,Ai.default.undefined],t.resolveBodyOnly),Ai.assert.any([Ai.default.boolean,Ai.default.undefined],t.methodRewriting),Ai.assert.any([Ai.default.boolean,Ai.default.undefined],t.isStream),Ai.assert.any([Ai.default.string,Ai.default.undefined],t.responseType),t.responseType===void 0&&(t.responseType="text");let{retry:r}=t;if(e?t.retry={...e.retry}:t.retry={calculateDelay:o=>o.computedValue,limit:0,methods:[],statusCodes:[],errorCodes:[],maxRetryAfter:void 0},Ai.default.object(r)?(t.retry={...t.retry,...r},t.retry.methods=[...new Set(t.retry.methods.map(o=>o.toUpperCase()))],t.retry.statusCodes=[...new Set(t.retry.statusCodes)],t.retry.errorCodes=[...new Set(t.retry.errorCodes)]):Ai.default.number(r)&&(t.retry.limit=r),Ai.default.undefined(t.retry.maxRetryAfter)&&(t.retry.maxRetryAfter=Math.min(...[t.timeout.request,t.timeout.connect].filter(Ai.default.number))),Ai.default.object(t.pagination)){e&&(t.pagination={...e.pagination,...t.pagination});let{pagination:o}=t;if(!Ai.default.function_(o.transform))throw new Error("`options.pagination.transform` must be implemented");if(!Ai.default.function_(o.shouldContinue))throw new Error("`options.pagination.shouldContinue` must be implemented");if(!Ai.default.function_(o.filter))throw new TypeError("`options.pagination.filter` must be implemented");if(!Ai.default.function_(o.paginate))throw new Error("`options.pagination.paginate` must be implemented")}return t.responseType==="json"&&t.headers.accept===void 0&&(t.headers.accept="application/json"),t};I4.default=Git});var Lae=_(d1=>{"use strict";Object.defineProperty(d1,"__esModule",{value:!0});d1.retryAfterStatusCodes=void 0;d1.retryAfterStatusCodes=new Set([413,429,503]);var Yit=({attemptCount:t,retryOptions:e,error:r,retryAfter:o})=>{if(t>e.limit)return 0;let a=e.methods.includes(r.options.method),n=e.errorCodes.includes(r.code),u=r.response&&e.statusCodes.includes(r.response.statusCode);if(!a||!n&&!u)return 0;if(r.response){if(o)return e.maxRetryAfter===void 0||o>e.maxRetryAfter?0:o;if(r.response.statusCode===413)return 0}let A=Math.random()*100;return 2**(t-1)*1e3+A};d1.default=Yit});var E1=_(Bn=>{"use strict";Object.defineProperty(Bn,"__esModule",{value:!0});Bn.UnsupportedProtocolError=Bn.ReadError=Bn.TimeoutError=Bn.UploadError=Bn.CacheError=Bn.HTTPError=Bn.MaxRedirectsError=Bn.RequestError=Bn.setNonEnumerableProperties=Bn.knownHookEvents=Bn.withoutBody=Bn.kIsNormalizedAlready=void 0;var Mae=Be("util"),Oae=Be("stream"),Wit=Be("fs"),oh=Be("url"),Uae=Be("http"),B4=Be("http"),Vit=Be("https"),Kit=eoe(),Jit=aoe(),_ae=Uoe(),zit=qoe(),Xit=yae(),Zit=tx(),st=Tf(),$it=Bae(),Hae=c4(),est=f4(),jae=Pae(),tst=xae(),qae=bae(),rst=kae(),nst=E4(),Gae=Fae(),ist=C4(),ah=Rae(),sst=Nae(),ost=Lae(),v4,Zs=Symbol("request"),cx=Symbol("response"),PE=Symbol("responseSize"),SE=Symbol("downloadedSize"),xE=Symbol("bodySize"),bE=Symbol("uploadedSize"),ax=Symbol("serverResponsesPiped"),Yae=Symbol("unproxyEvents"),Wae=Symbol("isFromCache"),D4=Symbol("cancelTimeouts"),Vae=Symbol("startedReading"),kE=Symbol("stopReading"),lx=Symbol("triggerRead"),lh=Symbol("body"),m1=Symbol("jobs"),Kae=Symbol("originalResponse"),Jae=Symbol("retryTimeout");Bn.kIsNormalizedAlready=Symbol("isNormalizedAlready");var ast=st.default.string(process.versions.brotli);Bn.withoutBody=new Set(["GET","HEAD"]);Bn.knownHookEvents=["init","beforeRequest","beforeRedirect","beforeError","beforeRetry","afterResponse"];function lst(t){for(let e in t){let r=t[e];if(!st.default.string(r)&&!st.default.number(r)&&!st.default.boolean(r)&&!st.default.null_(r)&&!st.default.undefined(r))throw new TypeError(`The \`searchParams\` value '${String(r)}' must be a string, number, boolean or null`)}}function cst(t){return st.default.object(t)&&!("statusCode"in t)}var P4=new rst.default,ust=async t=>new Promise((e,r)=>{let o=a=>{r(a)};t.pending||e(),t.once("error",o),t.once("ready",()=>{t.off("error",o),e()})}),Ast=new Set([300,301,302,303,304,307,308]),fst=["context","body","json","form"];Bn.setNonEnumerableProperties=(t,e)=>{let r={};for(let o of t)if(!!o)for(let a of fst)a in o&&(r[a]={writable:!0,configurable:!0,enumerable:!1,value:o[a]});Object.defineProperties(e,r)};var Ki=class extends Error{constructor(e,r,o){var a;if(super(e),Error.captureStackTrace(this,this.constructor),this.name="RequestError",this.code=r.code,o instanceof dx?(Object.defineProperty(this,"request",{enumerable:!1,value:o}),Object.defineProperty(this,"response",{enumerable:!1,value:o[cx]}),Object.defineProperty(this,"options",{enumerable:!1,value:o.options})):Object.defineProperty(this,"options",{enumerable:!1,value:o}),this.timings=(a=this.request)===null||a===void 0?void 0:a.timings,st.default.string(r.stack)&&st.default.string(this.stack)){let n=this.stack.indexOf(this.message)+this.message.length,u=this.stack.slice(n).split(` -`).reverse(),A=r.stack.slice(r.stack.indexOf(r.message)+r.message.length).split(` -`).reverse();for(;A.length!==0&&A[0]===u[0];)u.shift();this.stack=`${this.stack.slice(0,n)}${u.reverse().join(` -`)}${A.reverse().join(` -`)}`}}};Bn.RequestError=Ki;var ux=class extends Ki{constructor(e){super(`Redirected ${e.options.maxRedirects} times. Aborting.`,{},e),this.name="MaxRedirectsError"}};Bn.MaxRedirectsError=ux;var Ax=class extends Ki{constructor(e){super(`Response code ${e.statusCode} (${e.statusMessage})`,{},e.request),this.name="HTTPError"}};Bn.HTTPError=Ax;var fx=class extends Ki{constructor(e,r){super(e.message,e,r),this.name="CacheError"}};Bn.CacheError=fx;var px=class extends Ki{constructor(e,r){super(e.message,e,r),this.name="UploadError"}};Bn.UploadError=px;var hx=class extends Ki{constructor(e,r,o){super(e.message,e,o),this.name="TimeoutError",this.event=e.event,this.timings=r}};Bn.TimeoutError=hx;var y1=class extends Ki{constructor(e,r){super(e.message,e,r),this.name="ReadError"}};Bn.ReadError=y1;var gx=class extends Ki{constructor(e){super(`Unsupported protocol "${e.url.protocol}"`,{},e),this.name="UnsupportedProtocolError"}};Bn.UnsupportedProtocolError=gx;var pst=["socket","connect","continue","information","upgrade","timeout"],dx=class extends Oae.Duplex{constructor(e,r={},o){super({autoDestroy:!1,highWaterMark:0}),this[SE]=0,this[bE]=0,this.requestInitialized=!1,this[ax]=new Set,this.redirects=[],this[kE]=!1,this[lx]=!1,this[m1]=[],this.retryCount=0,this._progressCallbacks=[];let a=()=>this._unlockWrite(),n=()=>this._lockWrite();this.on("pipe",h=>{h.prependListener("data",a),h.on("data",n),h.prependListener("end",a),h.on("end",n)}),this.on("unpipe",h=>{h.off("data",a),h.off("data",n),h.off("end",a),h.off("end",n)}),this.on("pipe",h=>{h instanceof B4.IncomingMessage&&(this.options.headers={...h.headers,...this.options.headers})});let{json:u,body:A,form:p}=r;if((u||A||p)&&this._lockWrite(),Bn.kIsNormalizedAlready in r)this.options=r;else try{this.options=this.constructor.normalizeArguments(e,r,o)}catch(h){st.default.nodeStream(r.body)&&r.body.destroy(),this.destroy(h);return}(async()=>{var h;try{this.options.body instanceof Wit.ReadStream&&await ust(this.options.body);let{url:E}=this.options;if(!E)throw new TypeError("Missing `url` property");if(this.requestUrl=E.toString(),decodeURI(this.requestUrl),await this._finalizeBody(),await this._makeRequest(),this.destroyed){(h=this[Zs])===null||h===void 0||h.destroy();return}for(let I of this[m1])I();this[m1].length=0,this.requestInitialized=!0}catch(E){if(E instanceof Ki){this._beforeError(E);return}this.destroyed||this.destroy(E)}})()}static normalizeArguments(e,r,o){var a,n,u,A,p;let h=r;if(st.default.object(e)&&!st.default.urlInstance(e))r={...o,...e,...r};else{if(e&&r&&r.url!==void 0)throw new TypeError("The `url` option is mutually exclusive with the `input` argument");r={...o,...r},e!==void 0&&(r.url=e),st.default.urlInstance(r.url)&&(r.url=new oh.URL(r.url.toString()))}if(r.cache===!1&&(r.cache=void 0),r.dnsCache===!1&&(r.dnsCache=void 0),st.assert.any([st.default.string,st.default.undefined],r.method),st.assert.any([st.default.object,st.default.undefined],r.headers),st.assert.any([st.default.string,st.default.urlInstance,st.default.undefined],r.prefixUrl),st.assert.any([st.default.object,st.default.undefined],r.cookieJar),st.assert.any([st.default.object,st.default.string,st.default.undefined],r.searchParams),st.assert.any([st.default.object,st.default.string,st.default.undefined],r.cache),st.assert.any([st.default.object,st.default.number,st.default.undefined],r.timeout),st.assert.any([st.default.object,st.default.undefined],r.context),st.assert.any([st.default.object,st.default.undefined],r.hooks),st.assert.any([st.default.boolean,st.default.undefined],r.decompress),st.assert.any([st.default.boolean,st.default.undefined],r.ignoreInvalidCookies),st.assert.any([st.default.boolean,st.default.undefined],r.followRedirect),st.assert.any([st.default.number,st.default.undefined],r.maxRedirects),st.assert.any([st.default.boolean,st.default.undefined],r.throwHttpErrors),st.assert.any([st.default.boolean,st.default.undefined],r.http2),st.assert.any([st.default.boolean,st.default.undefined],r.allowGetBody),st.assert.any([st.default.string,st.default.undefined],r.localAddress),st.assert.any([Gae.isDnsLookupIpVersion,st.default.undefined],r.dnsLookupIpVersion),st.assert.any([st.default.object,st.default.undefined],r.https),st.assert.any([st.default.boolean,st.default.undefined],r.rejectUnauthorized),r.https&&(st.assert.any([st.default.boolean,st.default.undefined],r.https.rejectUnauthorized),st.assert.any([st.default.function_,st.default.undefined],r.https.checkServerIdentity),st.assert.any([st.default.string,st.default.object,st.default.array,st.default.undefined],r.https.certificateAuthority),st.assert.any([st.default.string,st.default.object,st.default.array,st.default.undefined],r.https.key),st.assert.any([st.default.string,st.default.object,st.default.array,st.default.undefined],r.https.certificate),st.assert.any([st.default.string,st.default.undefined],r.https.passphrase),st.assert.any([st.default.string,st.default.buffer,st.default.array,st.default.undefined],r.https.pfx)),st.assert.any([st.default.object,st.default.undefined],r.cacheOptions),st.default.string(r.method)?r.method=r.method.toUpperCase():r.method="GET",r.headers===o?.headers?r.headers={...r.headers}:r.headers=Zit({...o?.headers,...r.headers}),"slashes"in r)throw new TypeError("The legacy `url.Url` has been deprecated. Use `URL` instead.");if("auth"in r)throw new TypeError("Parameter `auth` is deprecated. 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Use `followRedirect` instead.");if(r.agent){for(let b in r.agent)if(b!=="http"&&b!=="https"&&b!=="http2")throw new TypeError(`Expected the \`options.agent\` properties to be \`http\`, \`https\` or \`http2\`, got \`${b}\``)}return r.maxRedirects=(p=r.maxRedirects)!==null&&p!==void 0?p:0,Bn.setNonEnumerableProperties([o,h],r),sst.default(r,o)}_lockWrite(){let e=()=>{throw new TypeError("The payload has been already provided")};this.write=e,this.end=e}_unlockWrite(){this.write=super.write,this.end=super.end}async _finalizeBody(){let{options:e}=this,{headers:r}=e,o=!st.default.undefined(e.form),a=!st.default.undefined(e.json),n=!st.default.undefined(e.body),u=o||a||n,A=Bn.withoutBody.has(e.method)&&!(e.method==="GET"&&e.allowGetBody);if(this._cannotHaveBody=A,u){if(A)throw new TypeError(`The \`${e.method}\` method cannot be used with a body`);if([n,o,a].filter(p=>p).length>1)throw new TypeError("The `body`, `json` and `form` options are mutually exclusive");if(n&&!(e.body instanceof 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|55177<=g&&g<=55203?E:g==9757||g==9977||9994<=g&&g<=9997||g==127877||127938<=g&&g<=127940||g==127943||127946<=g&&g<=127948||128066<=g&&g<=128067||128070<=g&&g<=128080||g==128110||128112<=g&&g<=128120||g==128124||128129<=g&&g<=128131||128133<=g&&g<=128135||g==128170||128372<=g&&g<=128373||g==128378||g==128400||128405<=g&&g<=128406||128581<=g&&g<=128583||128587<=g&&g<=128591||g==128675||128692<=g&&g<=128694||g==128704||g==128716||129304<=g&&g<=129308||129310<=g&&g<=129311||g==129318||129328<=g&&g<=129337||129341<=g&&g<=129342||129489<=g&&g<=129501?b:127995<=g&&g<=127999?C:g==8205?T:g==9792||g==9794||9877<=g&&g<=9878||g==9992||g==10084||g==127752||g==127806||g==127859||g==127891||g==127908||g==127912||g==127979||g==127981||g==128139||128187<=g&&g<=128188||g==128295||g==128300||g==128488||g==128640||g==128658?L:128102<=g&&g<=128105?U:I}return 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Flt.Unzip,this[Fa].on("data",n=>this[bb](n)),this[Fa].on("error",n=>this.abort(n)),this[Fa].on("end",n=>{this[Od]=!0,this[bb]()}),this[V1]=!0;let a=this[Fa][o?"end":"write"](e);return this[V1]=!1,a}}this[V1]=!0,this[Fa]?this[Fa].write(e):this[bb](e),this[V1]=!1;let r=this[Gf].length?!1:this[qf]?this[qf].flowing:!0;return!r&&!this[Gf].length&&this[qf].once("drain",o=>this.emit("drain")),r}[R3](e){e&&!this[Ih]&&(this[fi]=this[fi]?Buffer.concat([this[fi],e]):e)}[N3](){if(this[Od]&&!this[AAe]&&!this[Ih]&&!this[Qb]){this[AAe]=!0;let e=this[Md];if(e&&e.blockRemain){let r=this[fi]?this[fi].length:0;this.warn("TAR_BAD_ARCHIVE",`Truncated input (needed ${e.blockRemain} more bytes, only ${r} available)`,{entry:e}),this[fi]&&e.write(this[fi]),e.end()}this[Ud](Fb)}}[bb](e){if(this[Qb])this[R3](e);else if(!e&&!this[fi])this[N3]();else{if(this[Qb]=!0,this[fi]){this[R3](e);let r=this[fi];this[fi]=null,this[kb](r)}else this[kb](e);for(;this[fi]&&this[fi].length>=512&&!this[Ih]&&!this[Rb];){let 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Uct=Be("assert"),_ct=Nb(),vn=Be("fs"),Hct=$E(),Yf=Be("path"),Rfe=gfe(),vfe=r3(),jct=Cfe(),qct=n3(),fl=HE(),Gct=GE(),Yct=V3(),Dfe=Symbol("onEntry"),z3=Symbol("checkFs"),Pfe=Symbol("checkFs2"),Wb=Symbol("pruneCache"),X3=Symbol("isReusable"),tc=Symbol("makeFs"),Z3=Symbol("file"),$3=Symbol("directory"),Vb=Symbol("link"),Sfe=Symbol("symlink"),xfe=Symbol("hardlink"),bfe=Symbol("unsupported"),kfe=Symbol("checkPath"),vh=Symbol("mkdir"),Ro=Symbol("onError"),Gb=Symbol("pending"),Qfe=Symbol("pend"),iC=Symbol("unpend"),K3=Symbol("ended"),J3=Symbol("maybeClose"),e_=Symbol("skip"),J1=Symbol("doChown"),z1=Symbol("uid"),X1=Symbol("gid"),Z1=Symbol("checkedCwd"),Nfe=Be("crypto"),Lfe=Bfe(),Wct=process.env.TESTING_TAR_FAKE_PLATFORM||process.platform,$1=Wct==="win32",Vct=(t,e)=>{if(!$1)return vn.unlink(t,e);let r=t+".DELETE."+Nfe.randomBytes(16).toString("hex");vn.rename(t,r,o=>{if(o)return e(o);vn.unlink(r,e)})},Kct=t=>{if(!$1)return vn.unlinkSync(t);let e=t+".DELETE."+Nfe.randomBytes(16).toString("hex");vn.renameSync(t,e),vn.unlinkSync(e)},Ffe=(t,e,r)=>t===t>>>0?t:e===e>>>0?e:r,Tfe=t=>Yct(Gct(fl(t))).toLowerCase(),Jct=(t,e)=>{e=Tfe(e);for(let r of t.keys()){let o=Tfe(r);(o===e||o.indexOf(e+"/")===0)&&t.delete(r)}},zct=t=>{for(let e of t.keys())t.delete(e)},e2=class extends _ct{constructor(e){if(e||(e={}),e.ondone=r=>{this[K3]=!0,this[J3]()},super(e),this[Z1]=!1,this.reservations=jct(),this.transform=typeof e.transform=="function"?e.transform:null,this.writable=!0,this.readable=!1,this[Gb]=0,this[K3]=!1,this.dirCache=e.dirCache||new Map,typeof e.uid=="number"||typeof e.gid=="number"){if(typeof e.uid!="number"||typeof e.gid!="number")throw new TypeError("cannot set owner without number uid and gid");if(e.preserveOwner)throw new TypeError("cannot preserve owner in archive and also set owner explicitly");this.uid=e.uid,this.gid=e.gid,this.setOwner=!0}else this.uid=null,this.gid=null,this.setOwner=!1;e.preserveOwner===void 0&&typeof e.uid!="number"?this.preserveOwner=process.getuid&&process.getuid()===0:this.preserveOwner=!!e.preserveOwner,this.processUid=(this.preserveOwner||this.setOwner)&&process.getuid?process.getuid():null,this.processGid=(this.preserveOwner||this.setOwner)&&process.getgid?process.getgid():null,this.forceChown=e.forceChown===!0,this.win32=!!e.win32||$1,this.newer=!!e.newer,this.keep=!!e.keep,this.noMtime=!!e.noMtime,this.preservePaths=!!e.preservePaths,this.unlink=!!e.unlink,this.cwd=fl(Yf.resolve(e.cwd||process.cwd())),this.strip=+e.strip||0,this.processUmask=e.noChmod?0:process.umask(),this.umask=typeof e.umask=="number"?e.umask:this.processUmask,this.dmode=e.dmode||511&~this.umask,this.fmode=e.fmode||438&~this.umask,this.on("entry",r=>this[Dfe](r))}warn(e,r,o={}){return(e==="TAR_BAD_ARCHIVE"||e==="TAR_ABORT")&&(o.recoverable=!1),super.warn(e,r,o)}[J3](){this[K3]&&this[Gb]===0&&(this.emit("prefinish"),this.emit("finish"),this.emit("end"),this.emit("close"))}[kfe](e){if(this.strip){let r=fl(e.path).split("/");if(r.length<this.strip)return!1;if(e.path=r.slice(this.strip).join("/"),e.type==="Link"){let o=fl(e.linkpath).split("/");if(o.length>=this.strip)e.linkpath=o.slice(this.strip).join("/");else return!1}}if(!this.preservePaths){let r=fl(e.path),o=r.split("/");if(o.includes("..")||$1&&/^[a-z]:\.\.$/i.test(o[0]))return this.warn("TAR_ENTRY_ERROR","path contains '..'",{entry:e,path:r}),!1;let[a,n]=qct(r);a&&(e.path=n,this.warn("TAR_ENTRY_INFO",`stripping ${a} from absolute path`,{entry:e,path:r}))}if(Yf.isAbsolute(e.path)?e.absolute=fl(Yf.resolve(e.path)):e.absolute=fl(Yf.resolve(this.cwd,e.path)),!this.preservePaths&&e.absolute.indexOf(this.cwd+"/")!==0&&e.absolute!==this.cwd)return this.warn("TAR_ENTRY_ERROR","path escaped extraction target",{entry:e,path:fl(e.path),resolvedPath:e.absolute,cwd:this.cwd}),!1;if(e.absolute===this.cwd&&e.type!=="Directory"&&e.type!=="GNUDumpDir")return!1;if(this.win32){let{root:r}=Yf.win32.parse(e.absolute);e.absolute=r+vfe.encode(e.absolute.substr(r.length));let{root:o}=Yf.win32.parse(e.path);e.path=o+vfe.encode(e.path.substr(o.length))}return!0}[Dfe](e){if(!this[kfe](e))return e.resume();switch(Uct.equal(typeof e.absolute,"string"),e.type){case"Directory":case"GNUDumpDir":e.mode&&(e.mode=e.mode|448);case"File":case"OldFile":case"ContiguousFile":case"Link":case"SymbolicLink":return this[z3](e);case"CharacterDevice":case"BlockDevice":case"FIFO":default:return this[bfe](e)}}[Ro](e,r){e.name==="CwdError"?this.emit("error",e):(this.warn("TAR_ENTRY_ERROR",e,{entry:r}),this[iC](),r.resume())}[vh](e,r,o){Rfe(fl(e),{uid:this.uid,gid:this.gid,processUid:this.processUid,processGid:this.processGid,umask:this.processUmask,preserve:this.preservePaths,unlink:this.unlink,cache:this.dirCache,cwd:this.cwd,mode:r,noChmod:this.noChmod},o)}[J1](e){return this.forceChown||this.preserveOwner&&(typeof e.uid=="number"&&e.uid!==this.processUid||typeof e.gid=="number"&&e.gid!==this.processGid)||typeof this.uid=="number"&&this.uid!==this.processUid||typeof this.gid=="number"&&this.gid!==this.processGid}[z1](e){return Ffe(this.uid,e.uid,this.processUid)}[X1](e){return Ffe(this.gid,e.gid,this.processGid)}[Z3](e,r){let o=e.mode&4095||this.fmode,a=new Hct.WriteStream(e.absolute,{flags:Lfe(e.size),mode:o,autoClose:!1});a.on("error",p=>{a.fd&&vn.close(a.fd,()=>{}),a.write=()=>!0,this[Ro](p,e),r()});let n=1,u=p=>{if(p){a.fd&&vn.close(a.fd,()=>{}),this[Ro](p,e),r();return}--n===0&&vn.close(a.fd,h=>{h?this[Ro](h,e):this[iC](),r()})};a.on("finish",p=>{let h=e.absolute,E=a.fd;if(e.mtime&&!this.noMtime){n++;let I=e.atime||new Date,v=e.mtime;vn.futimes(E,I,v,b=>b?vn.utimes(h,I,v,C=>u(C&&b)):u())}if(this[J1](e)){n++;let I=this[z1](e),v=this[X1](e);vn.fchown(E,I,v,b=>b?vn.chown(h,I,v,C=>u(C&&b)):u())}u()});let A=this.transform&&this.transform(e)||e;A!==e&&(A.on("error",p=>{this[Ro](p,e),r()}),e.pipe(A)),A.pipe(a)}[$3](e,r){let o=e.mode&4095||this.dmode;this[vh](e.absolute,o,a=>{if(a){this[Ro](a,e),r();return}let n=1,u=A=>{--n===0&&(r(),this[iC](),e.resume())};e.mtime&&!this.noMtime&&(n++,vn.utimes(e.absolute,e.atime||new Date,e.mtime,u)),this[J1](e)&&(n++,vn.chown(e.absolute,this[z1](e),this[X1](e),u)),u()})}[bfe](e){e.unsupported=!0,this.warn("TAR_ENTRY_UNSUPPORTED",`unsupported entry type: ${e.type}`,{entry:e}),e.resume()}[Sfe](e,r){this[Vb](e,e.linkpath,"symlink",r)}[xfe](e,r){let o=fl(Yf.resolve(this.cwd,e.linkpath));this[Vb](e,o,"link",r)}[Qfe](){this[Gb]++}[iC](){this[Gb]--,this[J3]()}[e_](e){this[iC](),e.resume()}[X3](e,r){return e.type==="File"&&!this.unlink&&r.isFile()&&r.nlink<=1&&!$1}[z3](e){this[Qfe]();let r=[e.path];e.linkpath&&r.push(e.linkpath),this.reservations.reserve(r,o=>this[Pfe](e,o))}[Wb](e){e.type==="SymbolicLink"?zct(this.dirCache):e.type!=="Directory"&&Jct(this.dirCache,e.absolute)}[Pfe](e,r){this[Wb](e);let o=A=>{this[Wb](e),r(A)},a=()=>{this[vh](this.cwd,this.dmode,A=>{if(A){this[Ro](A,e),o();return}this[Z1]=!0,n()})},n=()=>{if(e.absolute!==this.cwd){let A=fl(Yf.dirname(e.absolute));if(A!==this.cwd)return this[vh](A,this.dmode,p=>{if(p){this[Ro](p,e),o();return}u()})}u()},u=()=>{vn.lstat(e.absolute,(A,p)=>{if(p&&(this.keep||this.newer&&p.mtime>e.mtime)){this[e_](e),o();return}if(A||this[X3](e,p))return this[tc](null,e,o);if(p.isDirectory()){if(e.type==="Directory"){let h=!this.noChmod&&e.mode&&(p.mode&4095)!==e.mode,E=I=>this[tc](I,e,o);return h?vn.chmod(e.absolute,e.mode,E):E()}if(e.absolute!==this.cwd)return vn.rmdir(e.absolute,h=>this[tc](h,e,o))}if(e.absolute===this.cwd)return this[tc](null,e,o);Vct(e.absolute,h=>this[tc](h,e,o))})};this[Z1]?n():a()}[tc](e,r,o){if(e){this[Ro](e,r),o();return}switch(r.type){case"File":case"OldFile":case"ContiguousFile":return this[Z3](r,o);case"Link":return this[xfe](r,o);case"SymbolicLink":return this[Sfe](r,o);case"Directory":case"GNUDumpDir":return this[$3](r,o)}}[Vb](e,r,o,a){vn[o](r,e.absolute,n=>{n?this[Ro](n,e):(this[iC](),e.resume()),a()})}},Yb=t=>{try{return[null,t()]}catch(e){return[e,null]}},t_=class extends e2{[tc](e,r){return super[tc](e,r,()=>{})}[z3](e){if(this[Wb](e),!this[Z1]){let n=this[vh](this.cwd,this.dmode);if(n)return this[Ro](n,e);this[Z1]=!0}if(e.absolute!==this.cwd){let n=fl(Yf.dirname(e.absolute));if(n!==this.cwd){let u=this[vh](n,this.dmode);if(u)return this[Ro](u,e)}}let[r,o]=Yb(()=>vn.lstatSync(e.absolute));if(o&&(this.keep||this.newer&&o.mtime>e.mtime))return this[e_](e);if(r||this[X3](e,o))return this[tc](null,e);if(o.isDirectory()){if(e.type==="Directory"){let u=!this.noChmod&&e.mode&&(o.mode&4095)!==e.mode,[A]=u?Yb(()=>{vn.chmodSync(e.absolute,e.mode)}):[];return this[tc](A,e)}let[n]=Yb(()=>vn.rmdirSync(e.absolute));this[tc](n,e)}let[a]=e.absolute===this.cwd?[]:Yb(()=>Kct(e.absolute));this[tc](a,e)}[Z3](e,r){let o=e.mode&4095||this.fmode,a=A=>{let p;try{vn.closeSync(n)}catch(h){p=h}(A||p)&&this[Ro](A||p,e),r()},n;try{n=vn.openSync(e.absolute,Lfe(e.size),o)}catch(A){return a(A)}let u=this.transform&&this.transform(e)||e;u!==e&&(u.on("error",A=>this[Ro](A,e)),e.pipe(u)),u.on("data",A=>{try{vn.writeSync(n,A,0,A.length)}catch(p){a(p)}}),u.on("end",A=>{let p=null;if(e.mtime&&!this.noMtime){let h=e.atime||new Date,E=e.mtime;try{vn.futimesSync(n,h,E)}catch(I){try{vn.utimesSync(e.absolute,h,E)}catch{p=I}}}if(this[J1](e)){let h=this[z1](e),E=this[X1](e);try{vn.fchownSync(n,h,E)}catch(I){try{vn.chownSync(e.absolute,h,E)}catch{p=p||I}}}a(p)})}[$3](e,r){let o=e.mode&4095||this.dmode,a=this[vh](e.absolute,o);if(a){this[Ro](a,e),r();return}if(e.mtime&&!this.noMtime)try{vn.utimesSync(e.absolute,e.atime||new Date,e.mtime)}catch{}if(this[J1](e))try{vn.chownSync(e.absolute,this[z1](e),this[X1](e))}catch{}r(),e.resume()}[vh](e,r){try{return Rfe.sync(fl(e),{uid:this.uid,gid:this.gid,processUid:this.processUid,processGid:this.processGid,umask:this.processUmask,preserve:this.preservePaths,unlink:this.unlink,cache:this.dirCache,cwd:this.cwd,mode:r})}catch(o){return o}}[Vb](e,r,o,a){try{vn[o+"Sync"](r,e.absolute),a(),e.resume()}catch(n){return this[Ro](n,e)}}};e2.Sync=t_;Mfe.exports=e2});var jfe=_((SUt,Hfe)=>{"use strict";var Xct=LE(),Kb=r_(),Ufe=Be("fs"),_fe=$E(),Ofe=Be("path"),n_=GE();Hfe.exports=(t,e,r)=>{typeof t=="function"?(r=t,e=null,t={}):Array.isArray(t)&&(e=t,t={}),typeof e=="function"&&(r=e,e=null),e?e=Array.from(e):e=[];let o=Xct(t);if(o.sync&&typeof r=="function")throw new TypeError("callback not supported for sync tar functions");if(!o.file&&typeof r=="function")throw new TypeError("callback only supported with file option");return e.length&&Zct(o,e),o.file&&o.sync?$ct(o):o.file?eut(o,r):o.sync?tut(o):rut(o)};var Zct=(t,e)=>{let r=new Map(e.map(n=>[n_(n),!0])),o=t.filter,a=(n,u)=>{let A=u||Ofe.parse(n).root||".",p=n===A?!1:r.has(n)?r.get(n):a(Ofe.dirname(n),A);return r.set(n,p),p};t.filter=o?(n,u)=>o(n,u)&&a(n_(n)):n=>a(n_(n))},$ct=t=>{let e=new Kb.Sync(t),r=t.file,o=Ufe.statSync(r),a=t.maxReadSize||16*1024*1024;new _fe.ReadStreamSync(r,{readSize:a,size:o.size}).pipe(e)},eut=(t,e)=>{let r=new Kb(t),o=t.maxReadSize||16*1024*1024,a=t.file,n=new Promise((u,A)=>{r.on("error",A),r.on("close",u),Ufe.stat(a,(p,h)=>{if(p)A(p);else{let E=new _fe.ReadStream(a,{readSize:o,size:h.size});E.on("error",A),E.pipe(r)}})});return e?n.then(e,e):n},tut=t=>new Kb.Sync(t),rut=t=>new Kb(t)});var qfe=_(us=>{"use strict";us.c=us.create=vAe();us.r=us.replace=O3();us.t=us.list=Lb();us.u=us.update=TAe();us.x=us.extract=jfe();us.Pack=wb();us.Unpack=r_();us.Parse=Nb();us.ReadEntry=nb();us.WriteEntry=p3();us.Header=qE();us.Pax=sb();us.types=JU()});var i_,Gfe,Dh,t2,r2,Yfe=Et(()=>{i_=$e(nd()),Gfe=Be("worker_threads"),Dh=Symbol("kTaskInfo"),t2=class{constructor(e,r){this.fn=e;this.limit=(0,i_.default)(r.poolSize)}run(e){return this.limit(()=>this.fn(e))}},r2=class{constructor(e,r){this.source=e;this.workers=[];this.limit=(0,i_.default)(r.poolSize),this.cleanupInterval=setInterval(()=>{if(this.limit.pendingCount===0&&this.limit.activeCount===0){let o=this.workers.pop();o?o.terminate():clearInterval(this.cleanupInterval)}},5e3).unref()}createWorker(){this.cleanupInterval.refresh();let e=new Gfe.Worker(this.source,{eval:!0,execArgv:[...process.execArgv,"--unhandled-rejections=strict"]});return e.on("message",r=>{if(!e[Dh])throw new Error("Assertion failed: Worker sent a result without having a task assigned");e[Dh].resolve(r),e[Dh]=null,e.unref(),this.workers.push(e)}),e.on("error",r=>{e[Dh]?.reject(r),e[Dh]=null}),e.on("exit",r=>{r!==0&&e[Dh]?.reject(new Error(`Worker exited with code ${r}`)),e[Dh]=null}),e}run(e){return this.limit(()=>{let r=this.workers.pop()??this.createWorker();return r.ref(),new Promise((o,a)=>{r[Dh]={resolve:o,reject:a},r.postMessage(e)})})}}});var Vfe=_((QUt,Wfe)=>{var s_;Wfe.exports.getContent=()=>(typeof s_>"u"&&(s_=Be("zlib").brotliDecompressSync(Buffer.from("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request":"requests",p=aO(u),h=p?lE(t.configuration,p):Ot(t.configuration,"but they have non-overlapping ranges!","redBright");return`${cs(t.configuration,n.requested)} is listed by your project with version ${s1(t.configuration,n.version)}, which doesn't satisfy what ${cs(t.configuration,n.requesters.values().next().value)} (${Ot(t.configuration,n.hash,yt.CODE)}) ${A} (${h}).`})??[],a=r[0]?.map(n=>`${jr(t.configuration,n.subject)} doesn't provide ${cs(t.configuration,n.requested)} (${Ot(t.configuration,n.hash,yt.CODE)}), requested by ${cs(t.configuration,n.requester)}.`)??[];e.startSectionSync({reportFooter:()=>{e.reportWarning(86,`Some peer dependencies are incorrectly met; run ${Ot(t.configuration,"yarn explain peer-requirements <hash>",yt.CODE)} for details, where ${Ot(t.configuration,"<hash>",yt.CODE)} is the six-letter p-prefixed code.`)},skipIfEmpty:!0},()=>{for(let n of ks(o,u=>zy.default(u)))e.reportWarning(60,n);for(let n of ks(a,u=>zy.default(u)))e.reportWarning(2,n)})}var ek,tk,rk,Xpe,F_,Q_,T_,nk,kAt,QAt,Jpe,FAt,TAt,RAt,pl,k_,ik,zpe,St,Zpe=Et(()=>{Pt();Pt();Nl();qt();ek=Be("crypto");w_();tk=$e(S_()),rk=$e(nd()),Xpe=$e(zn()),F_=Be("util"),Q_=$e(Be("v8")),T_=$e(Be("zlib"));f_();D1();p_();h_();AE();fO();Yl();Vpe();L1();x_();Bd();b_();VS();ql();rh();jl();Dx();DU();kf();xo();nk=Ky(process.env.YARN_LOCKFILE_VERSION_OVERRIDE??8),kAt=3,QAt=/ *, */g,Jpe=/\/$/,FAt=32,TAt=(0,F_.promisify)(T_.default.gzip),RAt=(0,F_.promisify)(T_.default.gunzip),pl=(r=>(r.UpdateLockfile="update-lockfile",r.SkipBuild="skip-build",r))(pl||{}),k_={restoreLinkersCustomData:["linkersCustomData"],restoreResolutions:["accessibleLocators","conditionalLocators","disabledLocators","optionalBuilds","storedDescriptors","storedResolutions","storedPackages","lockFileChecksum"],restoreBuildState:["skippedBuilds","storedBuildState"]},ik=(o=>(o[o.NotProvided=0]="NotProvided",o[o.NotCompatible=1]="NotCompatible",o[o.NotCompatibleAggregate=2]="NotCompatibleAggregate",o))(ik||{}),zpe=t=>zs(`${kAt}`,t),St=class{constructor(e,{configuration:r}){this.resolutionAliases=new Map;this.workspaces=[];this.workspacesByCwd=new Map;this.workspacesByIdent=new Map;this.storedResolutions=new Map;this.storedDescriptors=new Map;this.storedPackages=new Map;this.storedChecksums=new Map;this.storedBuildState=new Map;this.accessibleLocators=new Set;this.conditionalLocators=new Set;this.disabledLocators=new Set;this.originalPackages=new Map;this.optionalBuilds=new Set;this.skippedBuilds=new Set;this.lockfileLastVersion=null;this.lockfileNeedsRefresh=!1;this.peerRequirements=new Map;this.peerWarnings=[];this.linkersCustomData=new Map;this.lockFileChecksum=null;this.installStateChecksum=null;this.configuration=r,this.cwd=e}static async find(e,r){if(!e.projectCwd)throw new it(`No project found in ${r}`);let o=e.projectCwd,a=r,n=null;for(;n!==e.projectCwd;){if(n=a,oe.existsSync(K.join(n,dr.manifest))){o=n;break}a=K.dirname(n)}let u=new St(e.projectCwd,{configuration:e});Ve.telemetry?.reportProject(u.cwd),await u.setupResolutions(),await u.setupWorkspaces(),Ve.telemetry?.reportWorkspaceCount(u.workspaces.length),Ve.telemetry?.reportDependencyCount(u.workspaces.reduce((C,T)=>C+T.manifest.dependencies.size+T.manifest.devDependencies.size,0));let A=u.tryWorkspaceByCwd(o);if(A)return{project:u,workspace:A,locator:A.anchoredLocator};let p=await u.findLocatorForLocation(`${o}/`,{strict:!0});if(p)return{project:u,locator:p,workspace:null};let h=Ot(e,u.cwd,yt.PATH),E=Ot(e,K.relative(u.cwd,o),yt.PATH),I=`- If ${h} isn't intended to be a project, remove any yarn.lock and/or package.json file there.`,v=`- If ${h} is intended to be a project, it might be that you forgot to list ${E} in its workspace configuration.`,b=`- Finally, if ${h} is fine and you intend ${E} to be treated as a completely separate project (not even a workspace), create an empty yarn.lock file in it.`;throw new it(`The nearest package directory (${Ot(e,o,yt.PATH)}) doesn't seem to be part of the project declared in ${Ot(e,u.cwd,yt.PATH)}. - -${[I,v,b].join(` -`)}`)}async setupResolutions(){this.storedResolutions=new Map,this.storedDescriptors=new Map,this.storedPackages=new Map,this.lockFileChecksum=null;let e=K.join(this.cwd,dr.lockfile),r=this.configuration.get("defaultLanguageName");if(oe.existsSync(e)){let o=await oe.readFilePromise(e,"utf8");this.lockFileChecksum=zpe(o);let a=Vi(o);if(a.__metadata){let n=a.__metadata.version,u=a.__metadata.cacheKey;this.lockfileLastVersion=n,this.lockfileNeedsRefresh=n<nk;for(let A of Object.keys(a)){if(A==="__metadata")continue;let p=a[A];if(typeof p.resolution>"u")throw new Error(`Assertion failed: Expected the lockfile entry to have a resolution field (${A})`);let h=xf(p.resolution,!0),E=new Mt;E.load(p,{yamlCompatibilityMode:!0});let I=E.version,v=E.languageName||r,b=p.linkType.toUpperCase(),C=p.conditions??null,T=E.dependencies,L=E.peerDependencies,U=E.dependenciesMeta,J=E.peerDependenciesMeta,te=E.bin;if(p.checksum!=null){let pe=typeof u<"u"&&!p.checksum.includes("/")?`${u}/${p.checksum}`:p.checksum;this.storedChecksums.set(h.locatorHash,pe)}let le={...h,version:I,languageName:v,linkType:b,conditions:C,dependencies:T,peerDependencies:L,dependenciesMeta:U,peerDependenciesMeta:J,bin:te};this.originalPackages.set(le.locatorHash,le);for(let pe of A.split(QAt)){let Ae=nh(pe);n<=6&&(Ae=this.configuration.normalizeDependency(Ae),Ae=In(Ae,Ae.range.replace(/^patch:[^@]+@(?!npm(:|%3A))/,"$1npm%3A"))),this.storedDescriptors.set(Ae.descriptorHash,Ae),this.storedResolutions.set(Ae.descriptorHash,h.locatorHash)}}}else o.includes("yarn lockfile v1")&&(this.lockfileLastVersion=-1)}}async setupWorkspaces(){this.workspaces=[],this.workspacesByCwd=new Map,this.workspacesByIdent=new Map;let e=new Set,r=(0,rk.default)(4),o=async(a,n)=>{if(e.has(n))return a;e.add(n);let u=new lC(n,{project:this});await r(()=>u.setup());let A=a.then(()=>{this.addWorkspace(u)});return Array.from(u.workspacesCwds).reduce(o,A)};await o(Promise.resolve(),this.cwd)}addWorkspace(e){let r=this.workspacesByIdent.get(e.anchoredLocator.identHash);if(typeof r<"u")throw new Error(`Duplicate workspace name ${cs(this.configuration,e.anchoredLocator)}: ${ue.fromPortablePath(e.cwd)} conflicts with ${ue.fromPortablePath(r.cwd)}`);this.workspaces.push(e),this.workspacesByCwd.set(e.cwd,e),this.workspacesByIdent.set(e.anchoredLocator.identHash,e)}get topLevelWorkspace(){return this.getWorkspaceByCwd(this.cwd)}tryWorkspaceByCwd(e){K.isAbsolute(e)||(e=K.resolve(this.cwd,e)),e=K.normalize(e).replace(/\/+$/,"");let r=this.workspacesByCwd.get(e);return r||null}getWorkspaceByCwd(e){let r=this.tryWorkspaceByCwd(e);if(!r)throw new Error(`Workspace not found (${e})`);return r}tryWorkspaceByFilePath(e){let r=null;for(let o of this.workspaces)K.relative(o.cwd,e).startsWith("../")||r&&r.cwd.length>=o.cwd.length||(r=o);return r||null}getWorkspaceByFilePath(e){let r=this.tryWorkspaceByFilePath(e);if(!r)throw new Error(`Workspace not found (${e})`);return r}tryWorkspaceByIdent(e){let r=this.workspacesByIdent.get(e.identHash);return typeof r>"u"?null:r}getWorkspaceByIdent(e){let r=this.tryWorkspaceByIdent(e);if(!r)throw new Error(`Workspace not found (${cs(this.configuration,e)})`);return r}tryWorkspaceByDescriptor(e){if(e.range.startsWith(Xn.protocol)){let o=e.range.slice(Xn.protocol.length);if(o!=="^"&&o!=="~"&&o!=="*"&&!ba(o))return this.tryWorkspaceByCwd(o)}let r=this.tryWorkspaceByIdent(e);return r===null||(Sf(e)&&(e=e1(e)),!r.accepts(e.range))?null:r}getWorkspaceByDescriptor(e){let r=this.tryWorkspaceByDescriptor(e);if(r===null)throw new Error(`Workspace not found (${qn(this.configuration,e)})`);return r}tryWorkspaceByLocator(e){let r=this.tryWorkspaceByIdent(e);return r===null||(Hc(e)&&(e=t1(e)),r.anchoredLocator.locatorHash!==e.locatorHash)?null:r}getWorkspaceByLocator(e){let r=this.tryWorkspaceByLocator(e);if(!r)throw new Error(`Workspace not found (${jr(this.configuration,e)})`);return r}deleteDescriptor(e){this.storedResolutions.delete(e),this.storedDescriptors.delete(e)}deleteLocator(e){this.originalPackages.delete(e),this.storedPackages.delete(e),this.accessibleLocators.delete(e)}forgetResolution(e){if("descriptorHash"in e){let r=this.storedResolutions.get(e.descriptorHash);this.deleteDescriptor(e.descriptorHash);let o=new Set(this.storedResolutions.values());typeof r<"u"&&!o.has(r)&&this.deleteLocator(r)}if("locatorHash"in e){this.deleteLocator(e.locatorHash);for(let[r,o]of this.storedResolutions)o===e.locatorHash&&this.deleteDescriptor(r)}}forgetTransientResolutions(){let e=this.configuration.makeResolver(),r=new Map;for(let[o,a]of this.storedResolutions.entries()){let n=r.get(a);n||r.set(a,n=new Set),n.add(o)}for(let o of this.originalPackages.values()){let a;try{a=e.shouldPersistResolution(o,{project:this,resolver:e})}catch{a=!1}if(!a){this.deleteLocator(o.locatorHash);let n=r.get(o.locatorHash);if(n){r.delete(o.locatorHash);for(let u of n)this.deleteDescriptor(u)}}}}forgetVirtualResolutions(){for(let e of this.storedPackages.values())for(let[r,o]of e.dependencies)Sf(o)&&e.dependencies.set(r,e1(o))}getDependencyMeta(e,r){let o={},n=this.topLevelWorkspace.manifest.dependenciesMeta.get(fn(e));if(!n)return o;let u=n.get(null);if(u&&Object.assign(o,u),r===null||!Xpe.default.valid(r))return o;for(let[A,p]of n)A!==null&&A===r&&Object.assign(o,p);return o}async findLocatorForLocation(e,{strict:r=!1}={}){let o=new Qi,a=this.configuration.getLinkers(),n={project:this,report:o};for(let u of a){let A=await u.findPackageLocator(e,n);if(A){if(r&&(await u.findPackageLocation(A,n)).replace(Jpe,"")!==e.replace(Jpe,""))continue;return A}}return null}async loadUserConfig(){let e=K.join(this.cwd,".pnp.cjs");await oe.existsPromise(e)&&vf(e).setup();let r=K.join(this.cwd,"yarn.config.cjs");return await oe.existsPromise(r)?vf(r):null}async preparePackage(e,{resolver:r,resolveOptions:o}){let a=await this.configuration.getPackageExtensions(),n=this.configuration.normalizePackage(e,{packageExtensions:a});for(let[u,A]of n.dependencies){let p=await this.configuration.reduceHook(E=>E.reduceDependency,A,this,n,A,{resolver:r,resolveOptions:o});if(!r1(A,p))throw new Error("Assertion failed: The descriptor ident cannot be changed through aliases");let h=r.bindDescriptor(p,n,o);n.dependencies.set(u,h)}return n}async resolveEverything(e){if(!this.workspacesByCwd||!this.workspacesByIdent)throw new Error("Workspaces must have been setup before calling this function");this.forgetVirtualResolutions();let r=new Map(this.originalPackages),o=[];e.lockfileOnly||this.forgetTransientResolutions();let a=e.resolver||this.configuration.makeResolver(),n=new sC(a);await n.setup(this,{report:e.report});let u=e.lockfileOnly?[new $b(a)]:[n,a],A=new vd([new oC(a),...u]),p=new vd([...u]),h=this.configuration.makeFetcher(),E=e.lockfileOnly?{project:this,report:e.report,resolver:A}:{project:this,report:e.report,resolver:A,fetchOptions:{project:this,cache:e.cache,checksums:this.storedChecksums,report:e.report,fetcher:h,cacheOptions:{mirrorWriteOnly:!0}}},I=new Map,v=new Map,b=new Map,C=new Map,T=new Map,L=new Map,U=this.topLevelWorkspace.anchoredLocator,J=new Set,te=[],le=_4(),pe=this.configuration.getSupportedArchitectures();await e.report.startProgressPromise(Xs.progressViaTitle(),async ce=>{let ne=async H=>{let lt=await Wy(async()=>await A.resolve(H,E),_e=>`${jr(this.configuration,H)}: ${_e}`);if(!n1(H,lt))throw new Error(`Assertion failed: The locator cannot be changed by the resolver (went from ${jr(this.configuration,H)} to ${jr(this.configuration,lt)})`);C.set(lt.locatorHash,lt),!r.delete(lt.locatorHash)&&!this.tryWorkspaceByLocator(lt)&&o.push(lt);let Qe=await this.preparePackage(lt,{resolver:A,resolveOptions:E}),be=Uc([...Qe.dependencies.values()].map(_e=>ht(_e)));return te.push(be),be.catch(()=>{}),v.set(Qe.locatorHash,Qe),Qe},ee=async H=>{let lt=T.get(H.locatorHash);if(typeof lt<"u")return lt;let Re=Promise.resolve().then(()=>ne(H));return T.set(H.locatorHash,Re),Re},Ie=async(H,lt)=>{let Re=await ht(lt);return I.set(H.descriptorHash,H),b.set(H.descriptorHash,Re.locatorHash),Re},ke=async H=>{ce.setTitle(qn(this.configuration,H));let lt=this.resolutionAliases.get(H.descriptorHash);if(typeof lt<"u")return Ie(H,this.storedDescriptors.get(lt));let Re=A.getResolutionDependencies(H,E),Qe=Object.fromEntries(await Uc(Object.entries(Re).map(async([Te,Je])=>{let He=A.bindDescriptor(Je,U,E),x=await ht(He);return J.add(x.locatorHash),[Te,x]}))),_e=(await Wy(async()=>await A.getCandidates(H,Qe,E),Te=>`${qn(this.configuration,H)}: ${Te}`))[0];if(typeof _e>"u")throw new zt(82,`${qn(this.configuration,H)}: No candidates found`);if(e.checkResolutions){let{locators:Te}=await p.getSatisfying(H,Qe,[_e],{...E,resolver:p});if(!Te.find(Je=>Je.locatorHash===_e.locatorHash))throw new zt(78,`Invalid resolution ${XI(this.configuration,H,_e)}`)}return I.set(H.descriptorHash,H),b.set(H.descriptorHash,_e.locatorHash),ee(_e)},ht=H=>{let lt=L.get(H.descriptorHash);if(typeof lt<"u")return lt;I.set(H.descriptorHash,H);let Re=Promise.resolve().then(()=>ke(H));return L.set(H.descriptorHash,Re),Re};for(let H of this.workspaces){let lt=H.anchoredDescriptor;te.push(ht(lt))}for(;te.length>0;){let H=[...te];te.length=0,await Uc(H)}});let Ae=sl(r.values(),ce=>this.tryWorkspaceByLocator(ce)?sl.skip:ce);if(o.length>0||Ae.length>0){let ce=new Set(this.workspaces.flatMap(H=>{let lt=v.get(H.anchoredLocator.locatorHash);if(!lt)throw new Error("Assertion failed: The workspace should have been resolved");return Array.from(lt.dependencies.values(),Re=>{let Qe=b.get(Re.descriptorHash);if(!Qe)throw new Error("Assertion failed: The resolution should have been registered");return Qe})})),ne=H=>ce.has(H.locatorHash)?"0":"1",ee=H=>xa(H),Ie=ks(o,[ne,ee]),ke=ks(Ae,[ne,ee]),ht=e.report.getRecommendedLength();Ie.length>0&&e.report.reportInfo(85,`${Ot(this.configuration,"+",yt.ADDED)} ${cS(this.configuration,Ie,ht)}`),ke.length>0&&e.report.reportInfo(85,`${Ot(this.configuration,"-",yt.REMOVED)} ${cS(this.configuration,ke,ht)}`)}let ye=new Set(this.resolutionAliases.values()),ae=new Set(v.keys()),we=new Set,Pe=new Map,g=[];NAt({project:this,accessibleLocators:we,volatileDescriptors:ye,optionalBuilds:ae,peerRequirements:Pe,peerWarnings:g,allDescriptors:I,allResolutions:b,allPackages:v});for(let ce of J)ae.delete(ce);for(let ce of ye)I.delete(ce),b.delete(ce);let Ee=new Set,De=new Set;for(let ce of v.values())ce.conditions!=null&&(!ae.has(ce.locatorHash)||(qS(ce,pe)||(qS(ce,le)&&e.report.reportWarningOnce(77,`${jr(this.configuration,ce)}: Your current architecture (${process.platform}-${process.arch}) is supported by this package, but is missing from the ${Ot(this.configuration,"supportedArchitectures",yt.SETTING)} setting`),De.add(ce.locatorHash)),Ee.add(ce.locatorHash)));this.storedResolutions=b,this.storedDescriptors=I,this.storedPackages=v,this.accessibleLocators=we,this.conditionalLocators=Ee,this.disabledLocators=De,this.originalPackages=C,this.optionalBuilds=ae,this.peerRequirements=Pe,this.peerWarnings=g}async fetchEverything({cache:e,report:r,fetcher:o,mode:a,persistProject:n=!0}){let u={mockedPackages:this.disabledLocators,unstablePackages:this.conditionalLocators},A=o||this.configuration.makeFetcher(),p={checksums:this.storedChecksums,project:this,cache:e,fetcher:A,report:r,cacheOptions:u},h=Array.from(new Set(ks(this.storedResolutions.values(),[C=>{let T=this.storedPackages.get(C);if(!T)throw new Error("Assertion failed: The locator should have been registered");return xa(T)}])));a==="update-lockfile"&&(h=h.filter(C=>!this.storedChecksums.has(C)));let E=!1,I=Xs.progressViaCounter(h.length);await r.reportProgress(I);let v=(0,rk.default)(FAt);if(await Uc(h.map(C=>v(async()=>{let T=this.storedPackages.get(C);if(!T)throw new Error("Assertion failed: The locator should have been registered");if(Hc(T))return;let L;try{L=await A.fetch(T,p)}catch(U){U.message=`${jr(this.configuration,T)}: ${U.message}`,r.reportExceptionOnce(U),E=U;return}L.checksum!=null?this.storedChecksums.set(T.locatorHash,L.checksum):this.storedChecksums.delete(T.locatorHash),L.releaseFs&&L.releaseFs()}).finally(()=>{I.tick()}))),E)throw E;let b=n&&a!=="update-lockfile"?await this.cacheCleanup({cache:e,report:r}):null;if(r.cacheMisses.size>0||b){let T=(await Promise.all([...r.cacheMisses].map(async Ae=>{let ye=this.storedPackages.get(Ae),ae=this.storedChecksums.get(Ae)??null,we=e.getLocatorPath(ye,ae);return(await oe.statPromise(we)).size}))).reduce((Ae,ye)=>Ae+ye,0)-(b?.size??0),L=r.cacheMisses.size,U=b?.count??0,J=`${nS(L,{zero:"No new packages",one:"A package was",more:`${Ot(this.configuration,L,yt.NUMBER)} packages were`})} added to the project`,te=`${nS(U,{zero:"none were",one:"one was",more:`${Ot(this.configuration,U,yt.NUMBER)} were`})} removed`,le=T!==0?` (${Ot(this.configuration,T,yt.SIZE_DIFF)})`:"",pe=U>0?L>0?`${J}, and ${te}${le}.`:`${J}, but ${te}${le}.`:`${J}${le}.`;r.reportInfo(13,pe)}}async linkEverything({cache:e,report:r,fetcher:o,mode:a}){let n={mockedPackages:this.disabledLocators,unstablePackages:this.conditionalLocators,skipIntegrityCheck:!0},u=o||this.configuration.makeFetcher(),A={checksums:this.storedChecksums,project:this,cache:e,fetcher:u,report:r,cacheOptions:n},p=this.configuration.getLinkers(),h={project:this,report:r},E=new Map(p.map(ce=>{let ne=ce.makeInstaller(h),ee=ce.getCustomDataKey(),Ie=this.linkersCustomData.get(ee);return typeof Ie<"u"&&ne.attachCustomData(Ie),[ce,ne]})),I=new Map,v=new Map,b=new Map,C=new Map(await Uc([...this.accessibleLocators].map(async ce=>{let ne=this.storedPackages.get(ce);if(!ne)throw new Error("Assertion failed: The locator should have been registered");return[ce,await u.fetch(ne,A)]}))),T=[],L=new Set,U=[];for(let ce of this.accessibleLocators){let ne=this.storedPackages.get(ce);if(typeof ne>"u")throw new Error("Assertion failed: The locator should have been registered");let ee=C.get(ne.locatorHash);if(typeof ee>"u")throw new Error("Assertion failed: The fetch result should have been registered");let Ie=[],ke=H=>{Ie.push(H)},ht=this.tryWorkspaceByLocator(ne);if(ht!==null){let H=[],{scripts:lt}=ht.manifest;for(let Qe of["preinstall","install","postinstall"])lt.has(Qe)&&H.push({type:0,script:Qe});try{for(let[Qe,be]of E)if(Qe.supportsPackage(ne,h)&&(await be.installPackage(ne,ee,{holdFetchResult:ke})).buildRequest!==null)throw new Error("Assertion failed: Linkers can't return build directives for workspaces; this responsibility befalls to the Yarn core")}finally{Ie.length===0?ee.releaseFs?.():T.push(Uc(Ie).catch(()=>{}).then(()=>{ee.releaseFs?.()}))}let Re=K.join(ee.packageFs.getRealPath(),ee.prefixPath);v.set(ne.locatorHash,Re),!Hc(ne)&&H.length>0&&b.set(ne.locatorHash,{buildDirectives:H,buildLocations:[Re]})}else{let H=p.find(Qe=>Qe.supportsPackage(ne,h));if(!H)throw new zt(12,`${jr(this.configuration,ne)} isn't supported by any available linker`);let lt=E.get(H);if(!lt)throw new Error("Assertion failed: The installer should have been registered");let Re;try{Re=await lt.installPackage(ne,ee,{holdFetchResult:ke})}finally{Ie.length===0?ee.releaseFs?.():T.push(Uc(Ie).then(()=>{}).then(()=>{ee.releaseFs?.()}))}I.set(ne.locatorHash,H),v.set(ne.locatorHash,Re.packageLocation),Re.buildRequest&&Re.packageLocation&&(Re.buildRequest.skipped?(L.add(ne.locatorHash),this.skippedBuilds.has(ne.locatorHash)||U.push([ne,Re.buildRequest.explain])):b.set(ne.locatorHash,{buildDirectives:Re.buildRequest.directives,buildLocations:[Re.packageLocation]}))}}let J=new Map;for(let ce of this.accessibleLocators){let ne=this.storedPackages.get(ce);if(!ne)throw new Error("Assertion failed: The locator should have been registered");let ee=this.tryWorkspaceByLocator(ne)!==null,Ie=async(ke,ht)=>{let H=v.get(ne.locatorHash);if(typeof H>"u")throw new Error(`Assertion failed: The package (${jr(this.configuration,ne)}) should have been registered`);let lt=[];for(let Re of ne.dependencies.values()){let Qe=this.storedResolutions.get(Re.descriptorHash);if(typeof Qe>"u")throw new Error(`Assertion failed: The resolution (${qn(this.configuration,Re)}, from ${jr(this.configuration,ne)})should have been registered`);let be=this.storedPackages.get(Qe);if(typeof be>"u")throw new Error(`Assertion failed: The package (${Qe}, resolved from ${qn(this.configuration,Re)}) should have been registered`);let _e=this.tryWorkspaceByLocator(be)===null?I.get(Qe):null;if(typeof _e>"u")throw new Error(`Assertion failed: The package (${Qe}, resolved from ${qn(this.configuration,Re)}) should have been registered`);_e===ke||_e===null?v.get(be.locatorHash)!==null&<.push([Re,be]):!ee&&H!==null&&Gy(J,Qe).push(H)}H!==null&&await ht.attachInternalDependencies(ne,lt)};if(ee)for(let[ke,ht]of E)ke.supportsPackage(ne,h)&&await Ie(ke,ht);else{let ke=I.get(ne.locatorHash);if(!ke)throw new Error("Assertion failed: The linker should have been found");let ht=E.get(ke);if(!ht)throw new Error("Assertion failed: The installer should have been registered");await Ie(ke,ht)}}for(let[ce,ne]of J){let ee=this.storedPackages.get(ce);if(!ee)throw new Error("Assertion failed: The package should have been registered");let Ie=I.get(ee.locatorHash);if(!Ie)throw new Error("Assertion failed: The linker should have been found");let ke=E.get(Ie);if(!ke)throw new Error("Assertion failed: The installer should have been registered");await ke.attachExternalDependents(ee,ne)}let te=new Map;for(let[ce,ne]of E){let ee=await ne.finalizeInstall();for(let Ie of ee?.records??[])Ie.buildRequest.skipped?(L.add(Ie.locator.locatorHash),this.skippedBuilds.has(Ie.locator.locatorHash)||U.push([Ie.locator,Ie.buildRequest.explain])):b.set(Ie.locator.locatorHash,{buildDirectives:Ie.buildRequest.directives,buildLocations:Ie.buildLocations});typeof ee?.customData<"u"&&te.set(ce.getCustomDataKey(),ee.customData)}if(this.linkersCustomData=te,await Uc(T),a==="skip-build")return;for(let[,ce]of ks(U,([ne])=>xa(ne)))ce(r);let le=new Set(this.storedPackages.keys()),pe=new Set(b.keys());for(let ce of pe)le.delete(ce);let Ae=(0,ek.createHash)("sha512");Ae.update(process.versions.node),await this.configuration.triggerHook(ce=>ce.globalHashGeneration,this,ce=>{Ae.update("\0"),Ae.update(ce)});let ye=Ae.digest("hex"),ae=new Map,we=ce=>{let ne=ae.get(ce.locatorHash);if(typeof ne<"u")return ne;let ee=this.storedPackages.get(ce.locatorHash);if(typeof ee>"u")throw new Error("Assertion failed: The package should have been registered");let Ie=(0,ek.createHash)("sha512");Ie.update(ce.locatorHash),ae.set(ce.locatorHash,"<recursive>");for(let ke of ee.dependencies.values()){let ht=this.storedResolutions.get(ke.descriptorHash);if(typeof ht>"u")throw new Error(`Assertion failed: The resolution (${qn(this.configuration,ke)}) should have been registered`);let H=this.storedPackages.get(ht);if(typeof H>"u")throw new Error("Assertion failed: The package should have been registered");Ie.update(we(H))}return ne=Ie.digest("hex"),ae.set(ce.locatorHash,ne),ne},Pe=(ce,ne)=>{let ee=(0,ek.createHash)("sha512");ee.update(ye),ee.update(we(ce));for(let Ie of ne)ee.update(Ie);return ee.digest("hex")},g=new Map,Ee=!1,De=ce=>{let ne=new Set([ce.locatorHash]);for(let ee of ne){let Ie=this.storedPackages.get(ee);if(!Ie)throw new Error("Assertion failed: The package should have been registered");for(let ke of Ie.dependencies.values()){let ht=this.storedResolutions.get(ke.descriptorHash);if(!ht)throw new Error(`Assertion failed: The resolution (${qn(this.configuration,ke)}) should have been registered`);if(ht!==ce.locatorHash&&pe.has(ht))return!1;let H=this.storedPackages.get(ht);if(!H)throw new Error("Assertion failed: The package should have been registered");let lt=this.tryWorkspaceByLocator(H);if(lt){if(lt.anchoredLocator.locatorHash!==ce.locatorHash&&pe.has(lt.anchoredLocator.locatorHash))return!1;ne.add(lt.anchoredLocator.locatorHash)}ne.add(ht)}}return!0};for(;pe.size>0;){let ce=pe.size,ne=[];for(let ee of pe){let Ie=this.storedPackages.get(ee);if(!Ie)throw new Error("Assertion failed: The package should have been registered");if(!De(Ie))continue;let ke=b.get(Ie.locatorHash);if(!ke)throw new Error("Assertion failed: The build directive should have been registered");let ht=Pe(Ie,ke.buildLocations);if(this.storedBuildState.get(Ie.locatorHash)===ht){g.set(Ie.locatorHash,ht),pe.delete(ee);continue}Ee||(await this.persistInstallStateFile(),Ee=!0),this.storedBuildState.has(Ie.locatorHash)?r.reportInfo(8,`${jr(this.configuration,Ie)} must be rebuilt because its dependency tree changed`):r.reportInfo(7,`${jr(this.configuration,Ie)} must be built because it never has been before or the last one failed`);let H=ke.buildLocations.map(async lt=>{if(!K.isAbsolute(lt))throw new Error(`Assertion failed: Expected the build location to be absolute (not ${lt})`);for(let Re of ke.buildDirectives){let Qe=`# This file contains the result of Yarn building a package (${xa(Ie)}) -`;switch(Re.type){case 0:Qe+=`# Script name: ${Re.script} -`;break;case 1:Qe+=`# Script code: ${Re.script} -`;break}let be=null;if(!await oe.mktempPromise(async Te=>{let Je=K.join(Te,"build.log"),{stdout:He,stderr:x}=this.configuration.getSubprocessStreams(Je,{header:Qe,prefix:jr(this.configuration,Ie),report:r}),w;try{switch(Re.type){case 0:w=await Vx(Ie,Re.script,[],{cwd:lt,project:this,stdin:be,stdout:He,stderr:x});break;case 1:w=await wU(Ie,Re.script,[],{cwd:lt,project:this,stdin:be,stdout:He,stderr:x});break}}catch(F){x.write(F.stack),w=1}if(He.end(),x.end(),w===0)return!0;oe.detachTemp(Te);let S=`${jr(this.configuration,Ie)} couldn't be built successfully (exit code ${Ot(this.configuration,w,yt.NUMBER)}, logs can be found here: ${Ot(this.configuration,Je,yt.PATH)})`,y=this.optionalBuilds.has(Ie.locatorHash);return y?r.reportInfo(9,S):r.reportError(9,S),Jce&&r.reportFold(ue.fromPortablePath(Je),oe.readFileSync(Je,"utf8")),y}))return!1}return!0});ne.push(...H,Promise.allSettled(H).then(lt=>{pe.delete(ee),lt.every(Re=>Re.status==="fulfilled"&&Re.value===!0)&&g.set(Ie.locatorHash,ht)}))}if(await Uc(ne),ce===pe.size){let ee=Array.from(pe).map(Ie=>{let ke=this.storedPackages.get(Ie);if(!ke)throw new Error("Assertion failed: The package should have been registered");return jr(this.configuration,ke)}).join(", ");r.reportError(3,`Some packages have circular dependencies that make their build order unsatisfiable - as a result they won't be built (affected packages are: ${ee})`);break}}this.storedBuildState=g,this.skippedBuilds=L}async installWithNewReport(e,r){return(await Nt.start({configuration:this.configuration,json:e.json,stdout:e.stdout,forceSectionAlignment:!0,includeLogs:!e.json&&!e.quiet,includeVersion:!0},async a=>{await this.install({...r,report:a})})).exitCode()}async install(e){let r=this.configuration.get("nodeLinker");Ve.telemetry?.reportInstall(r);let o=!1;if(await e.report.startTimerPromise("Project validation",{skipIfEmpty:!0},async()=>{this.configuration.get("enableOfflineMode")&&e.report.reportWarning(90,"Offline work is enabled; Yarn won't fetch packages from the remote registry if it can avoid it"),await this.configuration.triggerHook(E=>E.validateProject,this,{reportWarning:(E,I)=>{e.report.reportWarning(E,I)},reportError:(E,I)=>{e.report.reportError(E,I),o=!0}})}),o)return;let a=await this.configuration.getPackageExtensions();for(let E of a.values())for(let[,I]of E)for(let v of I)v.status="inactive";let n=K.join(this.cwd,dr.lockfile),u=null;if(e.immutable)try{u=await oe.readFilePromise(n,"utf8")}catch(E){throw E.code==="ENOENT"?new zt(28,"The lockfile would have been created by this install, which is explicitly forbidden."):E}await e.report.startTimerPromise("Resolution step",async()=>{await this.resolveEverything(e)}),await e.report.startTimerPromise("Post-resolution validation",{skipIfEmpty:!0},async()=>{LAt(this,e.report);for(let[,E]of a)for(let[,I]of E)for(let v of I)if(v.userProvided){let b=Ot(this.configuration,v,yt.PACKAGE_EXTENSION);switch(v.status){case"inactive":e.report.reportWarning(68,`${b}: No matching package in the dependency tree; you may not need this rule anymore.`);break;case"redundant":e.report.reportWarning(69,`${b}: This rule seems redundant when applied on the original package; the extension may have been applied upstream.`);break}}if(u!==null){let E=Ug(u,this.generateLockfile());if(E!==u){let I=ppe(n,n,u,E,void 0,void 0,{maxEditLength:100});if(I){e.report.reportSeparator();for(let v of I.hunks){e.report.reportInfo(null,`@@ -${v.oldStart},${v.oldLines} +${v.newStart},${v.newLines} @@`);for(let b of v.lines)b.startsWith("+")?e.report.reportError(28,Ot(this.configuration,b,yt.ADDED)):b.startsWith("-")?e.report.reportError(28,Ot(this.configuration,b,yt.REMOVED)):e.report.reportInfo(null,Ot(this.configuration,b,"grey"))}e.report.reportSeparator()}throw new zt(28,"The lockfile would have been modified by this install, which is explicitly forbidden.")}}});for(let E of a.values())for(let[,I]of E)for(let v of I)v.userProvided&&v.status==="active"&&Ve.telemetry?.reportPackageExtension(yd(v,yt.PACKAGE_EXTENSION));await e.report.startTimerPromise("Fetch step",async()=>{await this.fetchEverything(e)});let A=e.immutable?[...new Set(this.configuration.get("immutablePatterns"))].sort():[],p=await Promise.all(A.map(async E=>MS(E,{cwd:this.cwd})));(typeof e.persistProject>"u"||e.persistProject)&&await this.persist(),await e.report.startTimerPromise("Link step",async()=>{if(e.mode==="update-lockfile"){e.report.reportWarning(73,`Skipped due to ${Ot(this.configuration,"mode=update-lockfile",yt.CODE)}`);return}await this.linkEverything(e);let E=await Promise.all(A.map(async I=>MS(I,{cwd:this.cwd})));for(let I=0;I<A.length;++I)p[I]!==E[I]&&e.report.reportError(64,`The checksum for ${A[I]} has been modified by this install, which is explicitly forbidden.`)}),await this.persistInstallStateFile();let h=!1;await e.report.startTimerPromise("Post-install validation",{skipIfEmpty:!0},async()=>{await this.configuration.triggerHook(E=>E.validateProjectAfterInstall,this,{reportWarning:(E,I)=>{e.report.reportWarning(E,I)},reportError:(E,I)=>{e.report.reportError(E,I),h=!0}})}),!h&&await this.configuration.triggerHook(E=>E.afterAllInstalled,this,e)}generateLockfile(){let e=new Map;for(let[n,u]of this.storedResolutions.entries()){let A=e.get(u);A||e.set(u,A=new Set),A.add(n)}let r={},{cacheKey:o}=Lr.getCacheKey(this.configuration);r.__metadata={version:nk,cacheKey:o};for(let[n,u]of e.entries()){let A=this.originalPackages.get(n);if(!A)continue;let p=[];for(let b of u){let C=this.storedDescriptors.get(b);if(!C)throw new Error("Assertion failed: The descriptor should have been registered");p.push(C)}let h=p.map(b=>Sa(b)).sort().join(", "),E=new Mt;E.version=A.linkType==="HARD"?A.version:"0.0.0-use.local",E.languageName=A.languageName,E.dependencies=new Map(A.dependencies),E.peerDependencies=new Map(A.peerDependencies),E.dependenciesMeta=new Map(A.dependenciesMeta),E.peerDependenciesMeta=new Map(A.peerDependenciesMeta),E.bin=new Map(A.bin);let I,v=this.storedChecksums.get(A.locatorHash);if(typeof v<"u"){let b=v.indexOf("/");if(b===-1)throw new Error("Assertion failed: Expected the checksum to reference its cache key");let C=v.slice(0,b),T=v.slice(b+1);C===o?I=T:I=v}r[h]={...E.exportTo({},{compatibilityMode:!1}),linkType:A.linkType.toLowerCase(),resolution:xa(A),checksum:I,conditions:A.conditions||void 0}}return`${[`# This file is generated by running "yarn install" inside your project. -`,`# Manual changes might be lost - proceed with caution! -`].join("")} -`+Ba(r)}async persistLockfile(){let e=K.join(this.cwd,dr.lockfile),r="";try{r=await oe.readFilePromise(e,"utf8")}catch{}let o=this.generateLockfile(),a=Ug(r,o);a!==r&&(await oe.writeFilePromise(e,a),this.lockFileChecksum=zpe(a),this.lockfileNeedsRefresh=!1)}async persistInstallStateFile(){let e=[];for(let u of Object.values(k_))e.push(...u);let r=(0,tk.default)(this,e),o=Q_.default.serialize(r),a=zs(o);if(this.installStateChecksum===a)return;let n=this.configuration.get("installStatePath");await oe.mkdirPromise(K.dirname(n),{recursive:!0}),await oe.writeFilePromise(n,await TAt(o)),this.installStateChecksum=a}async restoreInstallState({restoreLinkersCustomData:e=!0,restoreResolutions:r=!0,restoreBuildState:o=!0}={}){let a=this.configuration.get("installStatePath"),n;try{let u=await RAt(await oe.readFilePromise(a));n=Q_.default.deserialize(u),this.installStateChecksum=zs(u)}catch{r&&await this.applyLightResolution();return}e&&typeof n.linkersCustomData<"u"&&(this.linkersCustomData=n.linkersCustomData),o&&Object.assign(this,(0,tk.default)(n,k_.restoreBuildState)),r&&(n.lockFileChecksum===this.lockFileChecksum?Object.assign(this,(0,tk.default)(n,k_.restoreResolutions)):await this.applyLightResolution())}async applyLightResolution(){await this.resolveEverything({lockfileOnly:!0,report:new Qi}),await this.persistInstallStateFile()}async persist(){let e=(0,rk.default)(4);await Promise.all([this.persistLockfile(),...this.workspaces.map(r=>e(()=>r.persistManifest()))])}async cacheCleanup({cache:e,report:r}){if(this.configuration.get("enableGlobalCache"))return null;let o=new Set([".gitignore"]);if(!IO(e.cwd,this.cwd)||!await oe.existsPromise(e.cwd))return null;let a=[];for(let u of await oe.readdirPromise(e.cwd)){if(o.has(u))continue;let A=K.resolve(e.cwd,u);e.markedFiles.has(A)||(e.immutable?r.reportError(56,`${Ot(this.configuration,K.basename(A),"magenta")} appears to be unused and would be marked for deletion, but the cache is immutable`):a.push(oe.lstatPromise(A).then(async p=>(await oe.removePromise(A),p.size))))}if(a.length===0)return null;let n=await Promise.all(a);return{count:a.length,size:n.reduce((u,A)=>u+A,0)}}}});function MAt(t){let o=Math.floor(t.timeNow/864e5),a=t.updateInterval*864e5,n=t.state.lastUpdate??t.timeNow+a+Math.floor(a*t.randomInitialInterval),u=n+a,A=t.state.lastTips??o*864e5,p=A+864e5+8*36e5-t.timeZone,h=u<=t.timeNow,E=p<=t.timeNow,I=null;return(h||E||!t.state.lastUpdate||!t.state.lastTips)&&(I={},I.lastUpdate=h?t.timeNow:n,I.lastTips=A,I.blocks=h?{}:t.state.blocks,I.displayedTips=t.state.displayedTips),{nextState:I,triggerUpdate:h,triggerTips:E,nextTips:E?o*864e5:A}}var cC,$pe=Et(()=>{Pt();N1();rh();Bx();jl();kf();cC=class{constructor(e,r){this.values=new Map;this.hits=new Map;this.enumerators=new Map;this.nextTips=0;this.displayedTips=[];this.shouldCommitTips=!1;this.configuration=e;let o=this.getRegistryPath();this.isNew=!oe.existsSync(o),this.shouldShowTips=!1,this.sendReport(r),this.startBuffer()}commitTips(){this.shouldShowTips&&(this.shouldCommitTips=!0)}selectTip(e){let r=new Set(this.displayedTips),o=A=>A&&tn?bf(tn,A):!1,a=e.map((A,p)=>p).filter(A=>e[A]&&o(e[A]?.selector));if(a.length===0)return null;let n=a.filter(A=>!r.has(A));if(n.length===0){let A=Math.floor(a.length*.2);this.displayedTips=A>0?this.displayedTips.slice(-A):[],n=a.filter(p=>!r.has(p))}let u=n[Math.floor(Math.random()*n.length)];return this.displayedTips.push(u),this.commitTips(),e[u]}reportVersion(e){this.reportValue("version",e.replace(/-git\..*/,"-git"))}reportCommandName(e){this.reportValue("commandName",e||"<none>")}reportPluginName(e){this.reportValue("pluginName",e)}reportProject(e){this.reportEnumerator("projectCount",e)}reportInstall(e){this.reportHit("installCount",e)}reportPackageExtension(e){this.reportValue("packageExtension",e)}reportWorkspaceCount(e){this.reportValue("workspaceCount",String(e))}reportDependencyCount(e){this.reportValue("dependencyCount",String(e))}reportValue(e,r){dd(this.values,e).add(r)}reportEnumerator(e,r){dd(this.enumerators,e).add(zs(r))}reportHit(e,r="*"){let o=Yy(this.hits,e),a=ol(o,r,()=>0);o.set(r,a+1)}getRegistryPath(){let e=this.configuration.get("globalFolder");return K.join(e,"telemetry.json")}sendReport(e){let r=this.getRegistryPath(),o;try{o=oe.readJsonSync(r)}catch{o={}}let{nextState:a,triggerUpdate:n,triggerTips:u,nextTips:A}=MAt({state:o,timeNow:Date.now(),timeZone:new Date().getTimezoneOffset()*60*1e3,randomInitialInterval:Math.random(),updateInterval:this.configuration.get("telemetryInterval")});if(this.nextTips=A,this.displayedTips=o.displayedTips??[],a!==null)try{oe.mkdirSync(K.dirname(r),{recursive:!0}),oe.writeJsonSync(r,a)}catch{return!1}if(u&&this.configuration.get("enableTips")&&(this.shouldShowTips=!0),n){let p=o.blocks??{};if(Object.keys(p).length===0){let h=`https://browser-http-intake.logs.datadoghq.eu/v1/input/${e}?ddsource=yarn`,E=I=>U4(h,I,{configuration:this.configuration}).catch(()=>{});for(let[I,v]of Object.entries(o.blocks??{})){if(Object.keys(v).length===0)continue;let b=v;b.userId=I,b.reportType="primary";for(let L of Object.keys(b.enumerators??{}))b.enumerators[L]=b.enumerators[L].length;E(b);let C=new Map,T=20;for(let[L,U]of 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ift=Be("events"),xhe=Vc(),Y_=fhe(),sft=hhe(),oft=dhe(),aft=Ihe(),Ta=No(),Gd=She(),l2=class extends ift{constructor(e={}){super(),this.name=e.name,this.type=e.type,this.options=e,aft(this),sft(this),this.state=new oft(this),this.initial=[e.initial,e.default].find(r=>r!=null),this.stdout=e.stdout||process.stdout,this.stdin=e.stdin||process.stdin,this.scale=e.scale||1,this.term=this.options.term||process.env.TERM_PROGRAM,this.margin=cft(this.options.margin),this.setMaxListeners(0),lft(this)}async keypress(e,r={}){this.keypressed=!0;let o=Y_.action(e,Y_(e,r),this.options.actions);this.state.keypress=o,this.emit("keypress",e,o),this.emit("state",this.state.clone());let a=this.options[o.action]||this[o.action]||this.dispatch;if(typeof a=="function")return await a.call(this,e,o);this.alert()}alert(){delete 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close(){this.state.closed=!0;try{let e=this.sections(),r=Math.ceil(e.prompt.length/this.width);e.rest&&this.write(Gd.cursor.down(e.rest.length)),this.write(` -`.repeat(r))}catch{}this.emit("close")}start(){!this.stop&&this.options.show!==!1&&(this.stop=Y_.listen(this,this.keypress.bind(this)),this.once("close",this.stop))}async skip(){return this.skipped=this.options.skip===!0,typeof this.options.skip=="function"&&(this.skipped=await this.options.skip.call(this,this.name,this.value)),this.skipped}async initialize(){let{format:e,options:r,result:o}=this;if(this.format=()=>e.call(this,this.value),this.result=()=>o.call(this,this.value),typeof r.initial=="function"&&(this.initial=await r.initial.call(this,this)),typeof r.onRun=="function"&&await r.onRun.call(this,this),typeof r.onSubmit=="function"){let a=r.onSubmit.bind(this),n=this.submit.bind(this);delete this.options.onSubmit,this.submit=async()=>(await a(this.name,this.value,this),n())}await this.start(),await this.render()}render(){throw new Error("expected prompt to have a custom render method")}run(){return new Promise(async(e,r)=>{if(this.once("submit",e),this.once("cancel",r),await this.skip())return this.render=()=>{},this.submit();await this.initialize(),this.emit("run")})}async element(e,r,o){let{options:a,state:n,symbols:u,timers:A}=this,p=A&&A[e];n.timer=p;let h=a[e]||n[e]||u[e],E=r&&r[e]!=null?r[e]:await h;if(E==="")return E;let I=await this.resolve(E,n,r,o);return!I&&r&&r[e]?this.resolve(h,n,r,o):I}async prefix(){let e=await this.element("prefix")||this.symbols,r=this.timers&&this.timers.prefix,o=this.state;return o.timer=r,Ta.isObject(e)&&(e=e[o.status]||e.pending),Ta.hasColor(e)?e:(this.styles[o.status]||this.styles.pending)(e)}async message(){let e=await this.element("message");return Ta.hasColor(e)?e:this.styles.strong(e)}async separator(){let e=await this.element("separator")||this.symbols,r=this.timers&&this.timers.separator,o=this.state;o.timer=r;let a=e[o.status]||e.pending||o.separator,n=await this.resolve(a,o);return Ta.isObject(n)&&(n=n[o.status]||n.pending),Ta.hasColor(n)?n:this.styles.muted(n)}async pointer(e,r){let o=await this.element("pointer",e,r);if(typeof o=="string"&&Ta.hasColor(o))return o;if(o){let a=this.styles,n=this.index===r,u=n?a.primary:h=>h,A=await this.resolve(o[n?"on":"off"]||o,this.state),p=Ta.hasColor(A)?A:u(A);return n?p:" ".repeat(A.length)}}async indicator(e,r){let o=await this.element("indicator",e,r);if(typeof o=="string"&&Ta.hasColor(o))return o;if(o){let a=this.styles,n=e.enabled===!0,u=n?a.success:a.dark,A=o[n?"on":"off"]||o;return Ta.hasColor(A)?A:u(A)}return""}body(){return null}footer(){if(this.state.status==="pending")return this.element("footer")}header(){if(this.state.status==="pending")return this.element("header")}async hint(){if(this.state.status==="pending"&&!this.isValue(this.state.input)){let e=await this.element("hint");return Ta.hasColor(e)?e:this.styles.muted(e)}}error(e){return this.state.submitted?"":e||this.state.error}format(e){return e}result(e){return e}validate(e){return this.options.required===!0?this.isValue(e):!0}isValue(e){return e!=null&&e!==""}resolve(e,...r){return Ta.resolve(this,e,...r)}get base(){return l2.prototype}get style(){return this.styles[this.state.status]}get height(){return this.options.rows||Ta.height(this.stdout,25)}get width(){return this.options.columns||Ta.width(this.stdout,80)}get size(){return{width:this.width,height:this.height}}set cursor(e){this.state.cursor=e}get cursor(){return this.state.cursor}set input(e){this.state.input=e}get input(){return this.state.input}set value(e){this.state.value=e}get value(){let{input:e,value:r}=this.state,o=[r,e].find(this.isValue.bind(this));return this.isValue(o)?o:this.initial}static get prompt(){return e=>new this(e).run()}};function lft(t){let e=a=>t[a]===void 0||typeof t[a]=="function",r=["actions","choices","initial","margin","roles","styles","symbols","theme","timers","value"],o=["body","footer","error","header","hint","indicator","message","prefix","separator","skip"];for(let a of Object.keys(t.options)){if(r.includes(a)||/^on[A-Z]/.test(a))continue;let n=t.options[a];typeof n=="function"&&e(a)?o.includes(a)||(t[a]=n.bind(t)):typeof t[a]!="function"&&(t[a]=n)}}function cft(t){typeof t=="number"&&(t=[t,t,t,t]);let e=[].concat(t||[]),r=a=>a%2===0?` -`:" ",o=[];for(let a=0;a<4;a++){let n=r(a);e[a]?o.push(n.repeat(e[a])):o.push("")}return o}bhe.exports=l2});var Fhe=_((s8t,Qhe)=>{"use strict";var uft=No(),khe={default(t,e){return e},checkbox(t,e){throw new Error("checkbox role is not implemented yet")},editable(t,e){throw new Error("editable role is not implemented yet")},expandable(t,e){throw new Error("expandable role is not implemented yet")},heading(t,e){return e.disabled="",e.indicator=[e.indicator," 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reset(){let{choices:e,initial:r,autofocus:o,suggest:a}=this.options;if(this.state._choices=[],this.state.choices=[],this.choices=await Promise.all(await this.toChoices(e)),this.choices.forEach(n=>n.enabled=!1),typeof a!="function"&&this.selectable.length===0)throw new Error("At least one choice must be selectable");The(r)&&(r=Object.keys(r)),Array.isArray(r)?(o!=null&&(this.index=this.findIndex(o)),r.forEach(n=>this.enable(this.find(n))),await this.render()):(o!=null&&(r=o),typeof r=="string"&&(r=this.findIndex(r)),typeof r=="number"&&r>-1&&(this.index=Math.max(0,Math.min(r,this.choices.length)),this.enable(this.find(this.index)))),this.isDisabled(this.focused)&&await this.down()}async toChoices(e,r){this.state.loadingChoices=!0;let o=[],a=0,n=async(u,A)=>{typeof u=="function"&&(u=await u.call(this)),u instanceof Promise&&(u=await u);for(let p=0;p<u.length;p++){let h=u[p]=await this.toChoice(u[p],a++,A);o.push(h),h.choices&&await n(h.choices,h)}return o};return n(e,r).then(u=>(this.state.loadingChoices=!1,u))}async toChoice(e,r,o){if(typeof e=="function"&&(e=await e.call(this,this)),e instanceof Promise&&(e=await e),typeof e=="string"&&(e={name:e}),e.normalized)return e;e.normalized=!0;let a=e.value;if(e=pft(e.role,this.options)(this,e),typeof e.disabled=="string"&&!e.hint&&(e.hint=e.disabled,e.disabled=!0),e.disabled===!0&&e.hint==null&&(e.hint="(disabled)"),e.index!=null)return e;e.name=e.name||e.key||e.title||e.value||e.message,e.message=e.message||e.name||"",e.value=[e.value,e.name].find(this.isValue.bind(this)),e.input="",e.index=r,e.cursor=0,lk.define(e,"parent",o),e.level=o?o.level+1:1,e.indent==null&&(e.indent=o?o.indent+" ":e.indent||""),e.path=o?o.path+"."+e.name:e.name,e.enabled=!!(this.multiple&&!this.isDisabled(e)&&(e.enabled||this.isSelected(e))),this.isDisabled(e)||(this.longest=Math.max(this.longest,Aft.unstyle(e.message).length));let u={...e};return e.reset=(A=u.input,p=u.value)=>{for(let h of Object.keys(u))e[h]=u[h];e.input=A,e.value=p},a==null&&typeof e.initial=="function"&&(e.input=await e.initial.call(this,this.state,e,r)),e}async onChoice(e,r){this.emit("choice",e,r,this),typeof e.onChoice=="function"&&await e.onChoice.call(this,this.state,e,r)}async addChoice(e,r,o){let a=await this.toChoice(e,r,o);return this.choices.push(a),this.index=this.choices.length-1,this.limit=this.choices.length,a}async newItem(e,r,o){let a={name:"New choice name?",editable:!0,newChoice:!0,...e},n=await this.addChoice(a,r,o);return n.updateChoice=()=>{delete n.newChoice,n.name=n.message=n.input,n.input="",n.cursor=0},this.render()}indent(e){return e.indent==null?e.level>1?" ".repeat(e.level-1):"":e.indent}dispatch(e,r){if(this.multiple&&this[r.name])return this[r.name]();this.alert()}focus(e,r){return typeof r!="boolean"&&(r=e.enabled),r&&!e.enabled&&this.selected.length>=this.maxSelected?this.alert():(this.index=e.index,e.enabled=r&&!this.isDisabled(e),e)}space(){return this.multiple?(this.toggle(this.focused),this.render()):this.alert()}a(){if(this.maxSelected<this.choices.length)return this.alert();let e=this.selectable.every(r=>r.enabled);return this.choices.forEach(r=>r.enabled=!e),this.render()}i(){return this.choices.length-this.selected.length>this.maxSelected?this.alert():(this.choices.forEach(e=>e.enabled=!e.enabled),this.render())}g(e=this.focused){return this.choices.some(r=>!!r.parent)?(this.toggle(e.parent&&!e.choices?e.parent:e),this.render()):this.a()}toggle(e,r){if(!e.enabled&&this.selected.length>=this.maxSelected)return this.alert();typeof r!="boolean"&&(r=!e.enabled),e.enabled=r,e.choices&&e.choices.forEach(a=>this.toggle(a,r));let o=e.parent;for(;o;){let a=o.choices.filter(n=>this.isDisabled(n));o.enabled=a.every(n=>n.enabled===!0),o=o.parent}return Rhe(this,this.choices),this.emit("toggle",e,this),e}enable(e){return this.selected.length>=this.maxSelected?this.alert():(e.enabled=!this.isDisabled(e),e.choices&&e.choices.forEach(this.enable.bind(this)),e)}disable(e){return e.enabled=!1,e.choices&&e.choices.forEach(this.disable.bind(this)),e}number(e){this.num+=e;let r=o=>{let a=Number(o);if(a>this.choices.length-1)return this.alert();let n=this.focused,u=this.choices.find(A=>a===A.index);if(!u.enabled&&this.selected.length>=this.maxSelected)return this.alert();if(this.visible.indexOf(u)===-1){let A=W_(this.choices),p=A.indexOf(u);if(n.index>p){let h=A.slice(p,p+this.limit),E=A.filter(I=>!h.includes(I));this.choices=h.concat(E)}else{let h=p-this.limit+1;this.choices=A.slice(h).concat(A.slice(0,h))}}return this.index=this.choices.indexOf(u),this.toggle(this.focused),this.render()};return clearTimeout(this.numberTimeout),new Promise(o=>{let a=this.choices.length,n=this.num,u=(A=!1,p)=>{clearTimeout(this.numberTimeout),A&&(p=r(n)),this.num="",o(p)};if(n==="0"||n.length===1&&Number(n+"0")>a)return u(!0);if(Number(n)>a)return u(!1,this.alert());this.numberTimeout=setTimeout(()=>u(!0),this.delay)})}home(){return this.choices=W_(this.choices),this.index=0,this.render()}end(){let e=this.choices.length-this.limit,r=W_(this.choices);return this.choices=r.slice(e).concat(r.slice(0,e)),this.index=this.limit-1,this.render()}first(){return this.index=0,this.render()}last(){return this.index=this.visible.length-1,this.render()}prev(){return this.visible.length<=1?this.alert():this.up()}next(){return this.visible.length<=1?this.alert():this.down()}right(){return this.cursor>=this.input.length?this.alert():(this.cursor++,this.render())}left(){return this.cursor<=0?this.alert():(this.cursor--,this.render())}up(){let e=this.choices.length,r=this.visible.length,o=this.index;return this.options.scroll===!1&&o===0?this.alert():e>r&&o===0?this.scrollUp():(this.index=(o-1%e+e)%e,this.isDisabled()?this.up():this.render())}down(){let e=this.choices.length,r=this.visible.length,o=this.index;return this.options.scroll===!1&&o===r-1?this.alert():e>r&&o===r-1?this.scrollDown():(this.index=(o+1)%e,this.isDisabled()?this.down():this.render())}scrollUp(e=0){return this.choices=hft(this.choices),this.index=e,this.isDisabled()?this.up():this.render()}scrollDown(e=this.visible.length-1){return this.choices=gft(this.choices),this.index=e,this.isDisabled()?this.down():this.render()}async shiftUp(){if(this.options.sort===!0){this.sorting=!0,this.swap(this.index-1),await this.up(),this.sorting=!1;return}return this.scrollUp(this.index)}async shiftDown(){if(this.options.sort===!0){this.sorting=!0,this.swap(this.index+1),await this.down(),this.sorting=!1;return}return this.scrollDown(this.index)}pageUp(){return this.visible.length<=1?this.alert():(this.limit=Math.max(this.limit-1,0),this.index=Math.min(this.limit-1,this.index),this._limit=this.limit,this.isDisabled()?this.up():this.render())}pageDown(){return this.visible.length>=this.choices.length?this.alert():(this.index=Math.max(0,this.index),this.limit=Math.min(this.limit+1,this.choices.length),this._limit=this.limit,this.isDisabled()?this.down():this.render())}swap(e){dft(this.choices,this.index,e)}isDisabled(e=this.focused){return e&&["disabled","collapsed","hidden","completing","readonly"].some(o=>e[o]===!0)?!0:e&&e.role==="heading"}isEnabled(e=this.focused){if(Array.isArray(e))return e.every(r=>this.isEnabled(r));if(e.choices){let r=e.choices.filter(o=>!this.isDisabled(o));return e.enabled&&r.every(o=>this.isEnabled(o))}return e.enabled&&!this.isDisabled(e)}isChoice(e,r){return e.name===r||e.index===Number(r)}isSelected(e){return Array.isArray(this.initial)?this.initial.some(r=>this.isChoice(e,r)):this.isChoice(e,this.initial)}map(e=[],r="value"){return[].concat(e||[]).reduce((o,a)=>(o[a]=this.find(a,r),o),{})}filter(e,r){let a=typeof e=="function"?e:(A,p)=>[A.name,p].includes(e),u=(this.options.multiple?this.state._choices:this.choices).filter(a);return r?u.map(A=>A[r]):u}find(e,r){if(The(e))return r?e[r]:e;let a=typeof e=="function"?e:(u,A)=>[u.name,A].includes(e),n=this.choices.find(a);if(n)return r?n[r]:n}findIndex(e){return this.choices.indexOf(this.find(e))}async submit(){let e=this.focused;if(!e)return this.alert();if(e.newChoice)return e.input?(e.updateChoice(),this.render()):this.alert();if(this.choices.some(u=>u.newChoice))return this.alert();let{reorder:r,sort:o}=this.options,a=this.multiple===!0,n=this.selected;return n===void 0?this.alert():(Array.isArray(n)&&r!==!1&&o!==!0&&(n=lk.reorder(n)),this.value=a?n.map(u=>u.name):n.name,super.submit())}set choices(e=[]){this.state._choices=this.state._choices||[],this.state.choices=e;for(let r of e)this.state._choices.some(o=>o.name===r.name)||this.state._choices.push(r);if(!this._initial&&this.options.initial){this._initial=!0;let r=this.initial;if(typeof r=="string"||typeof r=="number"){let o=this.find(r);o&&(this.initial=o.index,this.focus(o,!0))}}}get choices(){return Rhe(this,this.state.choices||[])}set visible(e){this.state.visible=e}get visible(){return(this.state.visible||this.choices).slice(0,this.limit)}set limit(e){this.state.limit=e}get limit(){let{state:e,options:r,choices:o}=this,a=e.limit||this._limit||r.limit||o.length;return Math.min(a,this.height)}set value(e){super.value=e}get value(){return typeof super.value!="string"&&super.value===this.initial?this.input:super.value}set index(e){this.state.index=e}get index(){return Math.max(0,this.state?this.state.index:0)}get enabled(){return this.filter(this.isEnabled.bind(this))}get focused(){let e=this.choices[this.index];return e&&this.state.submitted&&this.multiple!==!0&&(e.enabled=!0),e}get selectable(){return this.choices.filter(e=>!this.isDisabled(e))}get selected(){return this.multiple?this.enabled:this.focused}};function Rhe(t,e){if(e instanceof Promise)return e;if(typeof e=="function"){if(lk.isAsyncFn(e))return e;e=e.call(t,t)}for(let r of e){if(Array.isArray(r.choices)){let o=r.choices.filter(a=>!t.isDisabled(a));r.enabled=o.every(a=>a.enabled===!0)}t.isDisabled(r)===!0&&delete r.enabled}return e}Nhe.exports=V_});var Sh=_((a8t,Lhe)=>{"use strict";var mft=c2(),K_=No(),J_=class extends mft{constructor(e){super(e),this.emptyError=this.options.emptyError||"No items were selected"}async dispatch(e,r){if(this.multiple)return this[r.name]?await this[r.name](e,r):await super.dispatch(e,r);this.alert()}separator(){if(this.options.separator)return super.separator();let e=this.styles.muted(this.symbols.ellipsis);return this.state.submitted?super.separator():e}pointer(e,r){return!this.multiple||this.options.pointer?super.pointer(e,r):""}indicator(e,r){return this.multiple?super.indicator(e,r):""}choiceMessage(e,r){let o=this.resolve(e.message,this.state,e,r);return e.role==="heading"&&!K_.hasColor(o)&&(o=this.styles.strong(o)),this.resolve(o,this.state,e,r)}choiceSeparator(){return":"}async renderChoice(e,r){await this.onChoice(e,r);let o=this.index===r,a=await this.pointer(e,r),n=await this.indicator(e,r)+(e.pad||""),u=await this.resolve(e.hint,this.state,e,r);u&&!K_.hasColor(u)&&(u=this.styles.muted(u));let A=this.indent(e),p=await this.choiceMessage(e,r),h=()=>[this.margin[3],A+a+n,p,this.margin[1],u].filter(Boolean).join(" ");return e.role==="heading"?h():e.disabled?(K_.hasColor(p)||(p=this.styles.disabled(p)),h()):(o&&(p=this.styles.em(p)),h())}async renderChoices(){if(this.state.loading==="choices")return this.styles.warning("Loading choices");if(this.state.submitted)return"";let e=this.visible.map(async(n,u)=>await this.renderChoice(n,u)),r=await Promise.all(e);r.length||r.push(this.styles.danger("No matching choices"));let o=this.margin[0]+r.join(` -`),a;return this.options.choicesHeader&&(a=await this.resolve(this.options.choicesHeader,this.state)),[a,o].filter(Boolean).join(` -`)}format(){return!this.state.submitted||this.state.cancelled?"":Array.isArray(this.selected)?this.selected.map(e=>this.styles.primary(e.name)).join(", "):this.styles.primary(this.selected.name)}async render(){let{submitted:e,size:r}=this.state,o="",a=await this.header(),n=await this.prefix(),u=await this.separator(),A=await this.message();this.options.promptLine!==!1&&(o=[n,A,u,""].join(" "),this.state.prompt=o);let p=await this.format(),h=await this.error()||await this.hint(),E=await this.renderChoices(),I=await this.footer();p&&(o+=p),h&&!o.includes(h)&&(o+=" "+h),e&&!p&&!E.trim()&&this.multiple&&this.emptyError!=null&&(o+=this.styles.danger(this.emptyError)),this.clear(r),this.write([a,o,E,I].filter(Boolean).join(` -`)),this.write(this.margin[2]),this.restore()}};Lhe.exports=J_});var Ohe=_((l8t,Mhe)=>{"use strict";var yft=Sh(),Eft=(t,e)=>{let r=t.toLowerCase();return o=>{let n=o.toLowerCase().indexOf(r),u=e(o.slice(n,n+r.length));return n>=0?o.slice(0,n)+u+o.slice(n+r.length):o}},z_=class extends yft{constructor(e){super(e),this.cursorShow()}moveCursor(e){this.state.cursor+=e}dispatch(e){return this.append(e)}space(e){return this.options.multiple?super.space(e):this.append(e)}append(e){let{cursor:r,input:o}=this.state;return this.input=o.slice(0,r)+e+o.slice(r),this.moveCursor(1),this.complete()}delete(){let{cursor:e,input:r}=this.state;return r?(this.input=r.slice(0,e-1)+r.slice(e),this.moveCursor(-1),this.complete()):this.alert()}deleteForward(){let{cursor:e,input:r}=this.state;return r[e]===void 0?this.alert():(this.input=`${r}`.slice(0,e)+`${r}`.slice(e+1),this.complete())}number(e){return this.append(e)}async complete(){this.completing=!0,this.choices=await this.suggest(this.input,this.state._choices),this.state.limit=void 0,this.index=Math.min(Math.max(this.visible.length-1,0),this.index),await this.render(),this.completing=!1}suggest(e=this.input,r=this.state._choices){if(typeof this.options.suggest=="function")return this.options.suggest.call(this,e,r);let o=e.toLowerCase();return r.filter(a=>a.message.toLowerCase().includes(o))}pointer(){return""}format(){if(!this.focused)return this.input;if(this.options.multiple&&this.state.submitted)return this.selected.map(e=>this.styles.primary(e.message)).join(", ");if(this.state.submitted){let e=this.value=this.input=this.focused.value;return this.styles.primary(e)}return this.input}async render(){if(this.state.status!=="pending")return super.render();let e=this.options.highlight?this.options.highlight.bind(this):this.styles.placeholder,r=Eft(this.input,e),o=this.choices;this.choices=o.map(a=>({...a,message:r(a.message)})),await super.render(),this.choices=o}submit(){return this.options.multiple&&(this.value=this.selected.map(e=>e.name)),super.submit()}};Mhe.exports=z_});var Z_=_((c8t,Uhe)=>{"use strict";var X_=No();Uhe.exports=(t,e={})=>{t.cursorHide();let{input:r="",initial:o="",pos:a,showCursor:n=!0,color:u}=e,A=u||t.styles.placeholder,p=X_.inverse(t.styles.primary),h=T=>p(t.styles.black(T)),E=r,I=" ",v=h(I);if(t.blink&&t.blink.off===!0&&(h=T=>T,v=""),n&&a===0&&o===""&&r==="")return h(I);if(n&&a===0&&(r===o||r===""))return h(o[0])+A(o.slice(1));o=X_.isPrimitive(o)?`${o}`:"",r=X_.isPrimitive(r)?`${r}`:"";let b=o&&o.startsWith(r)&&o!==r,C=b?h(o[r.length]):v;if(a!==r.length&&n===!0&&(E=r.slice(0,a)+h(r[a])+r.slice(a+1),C=""),n===!1&&(C=""),b){let T=t.styles.unstyle(E+C);return E+C+A(o.slice(T.length))}return E+C}});var ck=_((u8t,_he)=>{"use strict";var Cft=Vc(),wft=Sh(),Ift=Z_(),$_=class extends wft{constructor(e){super({...e,multiple:!0}),this.type="form",this.initial=this.options.initial,this.align=[this.options.align,"right"].find(r=>r!=null),this.emptyError="",this.values={}}async reset(e){return await super.reset(),e===!0&&(this._index=this.index),this.index=this._index,this.values={},this.choices.forEach(r=>r.reset&&r.reset()),this.render()}dispatch(e){return!!e&&this.append(e)}append(e){let r=this.focused;if(!r)return this.alert();let{cursor:o,input:a}=r;return r.value=r.input=a.slice(0,o)+e+a.slice(o),r.cursor++,this.render()}delete(){let e=this.focused;if(!e||e.cursor<=0)return this.alert();let{cursor:r,input:o}=e;return e.value=e.input=o.slice(0,r-1)+o.slice(r),e.cursor--,this.render()}deleteForward(){let e=this.focused;if(!e)return this.alert();let{cursor:r,input:o}=e;if(o[r]===void 0)return this.alert();let a=`${o}`.slice(0,r)+`${o}`.slice(r+1);return e.value=e.input=a,this.render()}right(){let e=this.focused;return e?e.cursor>=e.input.length?this.alert():(e.cursor++,this.render()):this.alert()}left(){let e=this.focused;return e?e.cursor<=0?this.alert():(e.cursor--,this.render()):this.alert()}space(e,r){return this.dispatch(e,r)}number(e,r){return this.dispatch(e,r)}next(){let e=this.focused;if(!e)return this.alert();let{initial:r,input:o}=e;return r&&r.startsWith(o)&&o!==r?(e.value=e.input=r,e.cursor=e.value.length,this.render()):super.next()}prev(){let e=this.focused;return e?e.cursor===0?super.prev():(e.value=e.input="",e.cursor=0,this.render()):this.alert()}separator(){return""}format(e){return this.state.submitted?"":super.format(e)}pointer(){return""}indicator(e){return e.input?"\u29BF":"\u2299"}async choiceSeparator(e,r){let o=await this.resolve(e.separator,this.state,e,r)||":";return o?" "+this.styles.disabled(o):""}async renderChoice(e,r){await this.onChoice(e,r);let{state:o,styles:a}=this,{cursor:n,initial:u="",name:A,hint:p,input:h=""}=e,{muted:E,submitted:I,primary:v,danger:b}=a,C=p,T=this.index===r,L=e.validate||(()=>!0),U=await this.choiceSeparator(e,r),J=e.message;this.align==="right"&&(J=J.padStart(this.longest+1," ")),this.align==="left"&&(J=J.padEnd(this.longest+1," "));let te=this.values[A]=h||u,le=h?"success":"dark";await L.call(e,te,this.state)!==!0&&(le="danger");let pe=a[le],Ae=pe(await this.indicator(e,r))+(e.pad||""),ye=this.indent(e),ae=()=>[ye,Ae,J+U,h,C].filter(Boolean).join(" ");if(o.submitted)return J=Cft.unstyle(J),h=I(h),C="",ae();if(e.format)h=await e.format.call(this,h,e,r);else{let we=this.styles.muted;h=Ift(this,{input:h,initial:u,pos:n,showCursor:T,color:we})}return this.isValue(h)||(h=this.styles.muted(this.symbols.ellipsis)),e.result&&(this.values[A]=await e.result.call(this,te,e,r)),T&&(J=v(J)),e.error?h+=(h?" ":"")+b(e.error.trim()):e.hint&&(h+=(h?" ":"")+E(e.hint.trim())),ae()}async submit(){return this.value=this.values,super.base.submit.call(this)}};_he.exports=$_});var e8=_((A8t,jhe)=>{"use strict";var Bft=ck(),vft=()=>{throw new Error("expected prompt to have a custom authenticate method")},Hhe=(t=vft)=>{class e extends Bft{constructor(o){super(o)}async submit(){this.value=await t.call(this,this.values,this.state),super.base.submit.call(this)}static create(o){return Hhe(o)}}return e};jhe.exports=Hhe()});var Yhe=_((f8t,Ghe)=>{"use strict";var Dft=e8();function Pft(t,e){return t.username===this.options.username&&t.password===this.options.password}var qhe=(t=Pft)=>{let e=[{name:"username",message:"username"},{name:"password",message:"password",format(o){return this.options.showPassword?o:(this.state.submitted?this.styles.primary:this.styles.muted)(this.symbols.asterisk.repeat(o.length))}}];class r extends Dft.create(t){constructor(a){super({...a,choices:e})}static create(a){return qhe(a)}}return r};Ghe.exports=qhe()});var uk=_((p8t,Whe)=>{"use strict";var Sft=hC(),{isPrimitive:xft,hasColor:bft}=No(),t8=class extends Sft{constructor(e){super(e),this.cursorHide()}async initialize(){let e=await this.resolve(this.initial,this.state);this.input=await this.cast(e),await super.initialize()}dispatch(e){return this.isValue(e)?(this.input=e,this.submit()):this.alert()}format(e){let{styles:r,state:o}=this;return o.submitted?r.success(e):r.primary(e)}cast(e){return this.isTrue(e)}isTrue(e){return/^[ty1]/i.test(e)}isFalse(e){return/^[fn0]/i.test(e)}isValue(e){return xft(e)&&(this.isTrue(e)||this.isFalse(e))}async hint(){if(this.state.status==="pending"){let e=await this.element("hint");return bft(e)?e:this.styles.muted(e)}}async render(){let{input:e,size:r}=this.state,o=await this.prefix(),a=await this.separator(),n=await this.message(),u=this.styles.muted(this.default),A=[o,n,u,a].filter(Boolean).join(" ");this.state.prompt=A;let p=await this.header(),h=this.value=this.cast(e),E=await this.format(h),I=await this.error()||await this.hint(),v=await this.footer();I&&!A.includes(I)&&(E+=" "+I),A+=" "+E,this.clear(r),this.write([p,A,v].filter(Boolean).join(` -`)),this.restore()}set value(e){super.value=e}get value(){return this.cast(super.value)}};Whe.exports=t8});var Khe=_((h8t,Vhe)=>{"use strict";var kft=uk(),r8=class extends kft{constructor(e){super(e),this.default=this.options.default||(this.initial?"(Y/n)":"(y/N)")}};Vhe.exports=r8});var zhe=_((g8t,Jhe)=>{"use strict";var Qft=Sh(),Fft=ck(),gC=Fft.prototype,n8=class extends Qft{constructor(e){super({...e,multiple:!0}),this.align=[this.options.align,"left"].find(r=>r!=null),this.emptyError="",this.values={}}dispatch(e,r){let o=this.focused,a=o.parent||{};return!o.editable&&!a.editable&&(e==="a"||e==="i")?super[e]():gC.dispatch.call(this,e,r)}append(e,r){return gC.append.call(this,e,r)}delete(e,r){return gC.delete.call(this,e,r)}space(e){return this.focused.editable?this.append(e):super.space()}number(e){return this.focused.editable?this.append(e):super.number(e)}next(){return this.focused.editable?gC.next.call(this):super.next()}prev(){return this.focused.editable?gC.prev.call(this):super.prev()}async indicator(e,r){let o=e.indicator||"",a=e.editable?o:super.indicator(e,r);return await this.resolve(a,this.state,e,r)||""}indent(e){return e.role==="heading"?"":e.editable?" ":" "}async renderChoice(e,r){return e.indent="",e.editable?gC.renderChoice.call(this,e,r):super.renderChoice(e,r)}error(){return""}footer(){return this.state.error}async validate(){let e=!0;for(let r of this.choices){if(typeof r.validate!="function"||r.role==="heading")continue;let o=r.parent?this.value[r.parent.name]:this.value;if(r.editable?o=r.value===r.name?r.initial||"":r.value:this.isDisabled(r)||(o=r.enabled===!0),e=await r.validate(o,this.state),e!==!0)break}return e!==!0&&(this.state.error=typeof e=="string"?e:"Invalid Input"),e}submit(){if(this.focused.newChoice===!0)return super.submit();if(this.choices.some(e=>e.newChoice))return this.alert();this.value={};for(let e of this.choices){let r=e.parent?this.value[e.parent.name]:this.value;if(e.role==="heading"){this.value[e.name]={};continue}e.editable?r[e.name]=e.value===e.name?e.initial||"":e.value:this.isDisabled(e)||(r[e.name]=e.enabled===!0)}return this.base.submit.call(this)}};Jhe.exports=n8});var Yd=_((d8t,Xhe)=>{"use strict";var Tft=hC(),Rft=Z_(),{isPrimitive:Nft}=No(),i8=class extends Tft{constructor(e){super(e),this.initial=Nft(this.initial)?String(this.initial):"",this.initial&&this.cursorHide(),this.state.prevCursor=0,this.state.clipboard=[]}async keypress(e,r={}){let o=this.state.prevKeypress;return this.state.prevKeypress=r,this.options.multiline===!0&&r.name==="return"&&(!o||o.name!=="return")?this.append(` -`,r):super.keypress(e,r)}moveCursor(e){this.cursor+=e}reset(){return this.input=this.value="",this.cursor=0,this.render()}dispatch(e,r){if(!e||r.ctrl||r.code)return this.alert();this.append(e)}append(e){let{cursor:r,input:o}=this.state;this.input=`${o}`.slice(0,r)+e+`${o}`.slice(r),this.moveCursor(String(e).length),this.render()}insert(e){this.append(e)}delete(){let{cursor:e,input:r}=this.state;if(e<=0)return this.alert();this.input=`${r}`.slice(0,e-1)+`${r}`.slice(e),this.moveCursor(-1),this.render()}deleteForward(){let{cursor:e,input:r}=this.state;if(r[e]===void 0)return this.alert();this.input=`${r}`.slice(0,e)+`${r}`.slice(e+1),this.render()}cutForward(){let e=this.cursor;if(this.input.length<=e)return this.alert();this.state.clipboard.push(this.input.slice(e)),this.input=this.input.slice(0,e),this.render()}cutLeft(){let e=this.cursor;if(e===0)return this.alert();let r=this.input.slice(0,e),o=this.input.slice(e),a=r.split(" ");this.state.clipboard.push(a.pop()),this.input=a.join(" "),this.cursor=this.input.length,this.input+=o,this.render()}paste(){if(!this.state.clipboard.length)return this.alert();this.insert(this.state.clipboard.pop()),this.render()}toggleCursor(){this.state.prevCursor?(this.cursor=this.state.prevCursor,this.state.prevCursor=0):(this.state.prevCursor=this.cursor,this.cursor=0),this.render()}first(){this.cursor=0,this.render()}last(){this.cursor=this.input.length-1,this.render()}next(){let e=this.initial!=null?String(this.initial):"";if(!e||!e.startsWith(this.input))return this.alert();this.input=this.initial,this.cursor=this.initial.length,this.render()}prev(){if(!this.input)return this.alert();this.reset()}backward(){return this.left()}forward(){return this.right()}right(){return this.cursor>=this.input.length?this.alert():(this.moveCursor(1),this.render())}left(){return this.cursor<=0?this.alert():(this.moveCursor(-1),this.render())}isValue(e){return!!e}async format(e=this.value){let r=await this.resolve(this.initial,this.state);return this.state.submitted?this.styles.submitted(e||r):Rft(this,{input:e,initial:r,pos:this.cursor})}async render(){let e=this.state.size,r=await this.prefix(),o=await this.separator(),a=await this.message(),n=[r,a,o].filter(Boolean).join(" ");this.state.prompt=n;let u=await this.header(),A=await this.format(),p=await this.error()||await this.hint(),h=await this.footer();p&&!A.includes(p)&&(A+=" "+p),n+=" "+A,this.clear(e),this.write([u,n,h].filter(Boolean).join(` -`)),this.restore()}};Xhe.exports=i8});var $he=_((m8t,Zhe)=>{"use strict";var Lft=t=>t.filter((e,r)=>t.lastIndexOf(e)===r),Ak=t=>Lft(t).filter(Boolean);Zhe.exports=(t,e={},r="")=>{let{past:o=[],present:a=""}=e,n,u;switch(t){case"prev":case"undo":return n=o.slice(0,o.length-1),u=o[o.length-1]||"",{past:Ak([r,...n]),present:u};case"next":case"redo":return n=o.slice(1),u=o[0]||"",{past:Ak([...n,r]),present:u};case"save":return{past:Ak([...o,r]),present:""};case"remove":return u=Ak(o.filter(A=>A!==r)),a="",u.length&&(a=u.pop()),{past:u,present:a};default:throw new Error(`Invalid action: "${t}"`)}}});var o8=_((y8t,t0e)=>{"use strict";var Mft=Yd(),e0e=$he(),s8=class extends Mft{constructor(e){super(e);let r=this.options.history;if(r&&r.store){let o=r.values||this.initial;this.autosave=!!r.autosave,this.store=r.store,this.data=this.store.get("values")||{past:[],present:o},this.initial=this.data.present||this.data.past[this.data.past.length-1]}}completion(e){return this.store?(this.data=e0e(e,this.data,this.input),this.data.present?(this.input=this.data.present,this.cursor=this.input.length,this.render()):this.alert()):this.alert()}altUp(){return this.completion("prev")}altDown(){return this.completion("next")}prev(){return this.save(),super.prev()}save(){!this.store||(this.data=e0e("save",this.data,this.input),this.store.set("values",this.data))}submit(){return this.store&&this.autosave===!0&&this.save(),super.submit()}};t0e.exports=s8});var n0e=_((E8t,r0e)=>{"use strict";var Oft=Yd(),a8=class extends Oft{format(){return""}};r0e.exports=a8});var s0e=_((C8t,i0e)=>{"use strict";var Uft=Yd(),l8=class extends Uft{constructor(e={}){super(e),this.sep=this.options.separator||/, */,this.initial=e.initial||""}split(e=this.value){return e?String(e).split(this.sep):[]}format(){let e=this.state.submitted?this.styles.primary:r=>r;return this.list.map(e).join(", ")}async submit(e){let r=this.state.error||await this.validate(this.list,this.state);return r!==!0?(this.state.error=r,super.submit()):(this.value=this.list,super.submit())}get list(){return this.split()}};i0e.exports=l8});var a0e=_((w8t,o0e)=>{"use strict";var _ft=Sh(),c8=class extends _ft{constructor(e){super({...e,multiple:!0})}};o0e.exports=c8});var A8=_((I8t,l0e)=>{"use strict";var Hft=Yd(),u8=class extends Hft{constructor(e={}){super({style:"number",...e}),this.min=this.isValue(e.min)?this.toNumber(e.min):-1/0,this.max=this.isValue(e.max)?this.toNumber(e.max):1/0,this.delay=e.delay!=null?e.delay:1e3,this.float=e.float!==!1,this.round=e.round===!0||e.float===!1,this.major=e.major||10,this.minor=e.minor||1,this.initial=e.initial!=null?e.initial:"",this.input=String(this.initial),this.cursor=this.input.length,this.cursorShow()}append(e){return!/[-+.]/.test(e)||e==="."&&this.input.includes(".")?this.alert("invalid number"):super.append(e)}number(e){return super.append(e)}next(){return this.input&&this.input!==this.initial?this.alert():this.isValue(this.initial)?(this.input=this.initial,this.cursor=String(this.initial).length,this.render()):this.alert()}up(e){let r=e||this.minor,o=this.toNumber(this.input);return o>this.max+r?this.alert():(this.input=`${o+r}`,this.render())}down(e){let r=e||this.minor,o=this.toNumber(this.input);return o<this.min-r?this.alert():(this.input=`${o-r}`,this.render())}shiftDown(){return this.down(this.major)}shiftUp(){return this.up(this.major)}format(e=this.input){return typeof this.options.format=="function"?this.options.format.call(this,e):this.styles.info(e)}toNumber(e=""){return this.float?+e:Math.round(+e)}isValue(e){return/^[-+]?[0-9]+((\.)|(\.[0-9]+))?$/.test(e)}submit(){let e=[this.input,this.initial].find(r=>this.isValue(r));return this.value=this.toNumber(e||0),super.submit()}};l0e.exports=u8});var u0e=_((B8t,c0e)=>{c0e.exports=A8()});var f0e=_((v8t,A0e)=>{"use strict";var jft=Yd(),f8=class extends jft{constructor(e){super(e),this.cursorShow()}format(e=this.input){return this.keypressed?(this.state.submitted?this.styles.primary:this.styles.muted)(this.symbols.asterisk.repeat(e.length)):""}};A0e.exports=f8});var g0e=_((D8t,h0e)=>{"use strict";var qft=Vc(),Gft=c2(),p0e=No(),p8=class extends Gft{constructor(e={}){super(e),this.widths=[].concat(e.messageWidth||50),this.align=[].concat(e.align||"left"),this.linebreak=e.linebreak||!1,this.edgeLength=e.edgeLength||3,this.newline=e.newline||` - `;let r=e.startNumber||1;typeof this.scale=="number"&&(this.scaleKey=!1,this.scale=Array(this.scale).fill(0).map((o,a)=>({name:a+r})))}async reset(){return this.tableized=!1,await super.reset(),this.render()}tableize(){if(this.tableized===!0)return;this.tableized=!0;let e=0;for(let r of this.choices){e=Math.max(e,r.message.length),r.scaleIndex=r.initial||2,r.scale=[];for(let o=0;o<this.scale.length;o++)r.scale.push({index:o})}this.widths[0]=Math.min(this.widths[0],e+3)}async dispatch(e,r){if(this.multiple)return this[r.name]?await this[r.name](e,r):await super.dispatch(e,r);this.alert()}heading(e,r,o){return this.styles.strong(e)}separator(){return this.styles.muted(this.symbols.ellipsis)}right(){let e=this.focused;return e.scaleIndex>=this.scale.length-1?this.alert():(e.scaleIndex++,this.render())}left(){let e=this.focused;return e.scaleIndex<=0?this.alert():(e.scaleIndex--,this.render())}indent(){return""}format(){return this.state.submitted?this.choices.map(r=>this.styles.info(r.index)).join(", "):""}pointer(){return""}renderScaleKey(){return this.scaleKey===!1||this.state.submitted?"":["",...this.scale.map(o=>` ${o.name} - ${o.message}`)].map(o=>this.styles.muted(o)).join(` -`)}renderScaleHeading(e){let r=this.scale.map(p=>p.name);typeof this.options.renderScaleHeading=="function"&&(r=this.options.renderScaleHeading.call(this,e));let o=this.scaleLength-r.join("").length,a=Math.round(o/(r.length-1)),u=r.map(p=>this.styles.strong(p)).join(" ".repeat(a)),A=" ".repeat(this.widths[0]);return this.margin[3]+A+this.margin[1]+u}scaleIndicator(e,r,o){if(typeof this.options.scaleIndicator=="function")return this.options.scaleIndicator.call(this,e,r,o);let a=e.scaleIndex===r.index;return r.disabled?this.styles.hint(this.symbols.radio.disabled):a?this.styles.success(this.symbols.radio.on):this.symbols.radio.off}renderScale(e,r){let o=e.scale.map(n=>this.scaleIndicator(e,n,r)),a=this.term==="Hyper"?"":" ";return o.join(a+this.symbols.line.repeat(this.edgeLength))}async renderChoice(e,r){await this.onChoice(e,r);let o=this.index===r,a=await this.pointer(e,r),n=await e.hint;n&&!p0e.hasColor(n)&&(n=this.styles.muted(n));let u=C=>this.margin[3]+C.replace(/\s+$/,"").padEnd(this.widths[0]," "),A=this.newline,p=this.indent(e),h=await this.resolve(e.message,this.state,e,r),E=await this.renderScale(e,r),I=this.margin[1]+this.margin[3];this.scaleLength=qft.unstyle(E).length,this.widths[0]=Math.min(this.widths[0],this.width-this.scaleLength-I.length);let b=p0e.wordWrap(h,{width:this.widths[0],newline:A}).split(` -`).map(C=>u(C)+this.margin[1]);return o&&(E=this.styles.info(E),b=b.map(C=>this.styles.info(C))),b[0]+=E,this.linebreak&&b.push(""),[p+a,b.join(` -`)].filter(Boolean)}async renderChoices(){if(this.state.submitted)return"";this.tableize();let e=this.visible.map(async(a,n)=>await this.renderChoice(a,n)),r=await Promise.all(e),o=await this.renderScaleHeading();return this.margin[0]+[o,...r.map(a=>a.join(" "))].join(` -`)}async render(){let{submitted:e,size:r}=this.state,o=await this.prefix(),a=await this.separator(),n=await this.message(),u="";this.options.promptLine!==!1&&(u=[o,n,a,""].join(" "),this.state.prompt=u);let A=await this.header(),p=await this.format(),h=await this.renderScaleKey(),E=await this.error()||await this.hint(),I=await this.renderChoices(),v=await this.footer(),b=this.emptyError;p&&(u+=p),E&&!u.includes(E)&&(u+=" "+E),e&&!p&&!I.trim()&&this.multiple&&b!=null&&(u+=this.styles.danger(b)),this.clear(r),this.write([A,u,h,I,v].filter(Boolean).join(` -`)),this.state.submitted||this.write(this.margin[2]),this.restore()}submit(){this.value={};for(let e of this.choices)this.value[e.name]=e.scaleIndex;return this.base.submit.call(this)}};h0e.exports=p8});var y0e=_((P8t,m0e)=>{"use strict";var d0e=Vc(),Yft=(t="")=>typeof t=="string"?t.replace(/^['"]|['"]$/g,""):"",g8=class{constructor(e){this.name=e.key,this.field=e.field||{},this.value=Yft(e.initial||this.field.initial||""),this.message=e.message||this.name,this.cursor=0,this.input="",this.lines=[]}},Wft=async(t={},e={},r=o=>o)=>{let o=new Set,a=t.fields||[],n=t.template,u=[],A=[],p=[],h=1;typeof n=="function"&&(n=await n());let E=-1,I=()=>n[++E],v=()=>n[E+1],b=C=>{C.line=h,u.push(C)};for(b({type:"bos",value:""});E<n.length-1;){let C=I();if(/^[^\S\n ]$/.test(C)){b({type:"text",value:C});continue}if(C===` -`){b({type:"newline",value:C}),h++;continue}if(C==="\\"){C+=I(),b({type:"text",value:C});continue}if((C==="$"||C==="#"||C==="{")&&v()==="{"){let L=I();C+=L;let U={type:"template",open:C,inner:"",close:"",value:C},J;for(;J=I();){if(J==="}"){v()==="}"&&(J+=I()),U.value+=J,U.close=J;break}J===":"?(U.initial="",U.key=U.inner):U.initial!==void 0&&(U.initial+=J),U.value+=J,U.inner+=J}U.template=U.open+(U.initial||U.inner)+U.close,U.key=U.key||U.inner,e.hasOwnProperty(U.key)&&(U.initial=e[U.key]),U=r(U),b(U),p.push(U.key),o.add(U.key);let te=A.find(le=>le.name===U.key);U.field=a.find(le=>le.name===U.key),te||(te=new g8(U),A.push(te)),te.lines.push(U.line-1);continue}let T=u[u.length-1];T.type==="text"&&T.line===h?T.value+=C:b({type:"text",value:C})}return b({type:"eos",value:""}),{input:n,tabstops:u,unique:o,keys:p,items:A}};m0e.exports=async t=>{let e=t.options,r=new Set(e.required===!0?[]:e.required||[]),o={...e.values,...e.initial},{tabstops:a,items:n,keys:u}=await Wft(e,o),A=h8("result",t,e),p=h8("format",t,e),h=h8("validate",t,e,!0),E=t.isValue.bind(t);return async(I={},v=!1)=>{let b=0;I.required=r,I.items=n,I.keys=u,I.output="";let C=async(J,te,le,pe)=>{let Ae=await h(J,te,le,pe);return Ae===!1?"Invalid field "+le.name:Ae};for(let J of a){let te=J.value,le=J.key;if(J.type!=="template"){te&&(I.output+=te);continue}if(J.type==="template"){let pe=n.find(Pe=>Pe.name===le);e.required===!0&&I.required.add(pe.name);let Ae=[pe.input,I.values[pe.value],pe.value,te].find(E),ae=(pe.field||{}).message||J.inner;if(v){let Pe=await C(I.values[le],I,pe,b);if(Pe&&typeof Pe=="string"||Pe===!1){I.invalid.set(le,Pe);continue}I.invalid.delete(le);let g=await A(I.values[le],I,pe,b);I.output+=d0e.unstyle(g);continue}pe.placeholder=!1;let we=te;te=await p(te,I,pe,b),Ae!==te?(I.values[le]=Ae,te=t.styles.typing(Ae),I.missing.delete(ae)):(I.values[le]=void 0,Ae=`<${ae}>`,te=t.styles.primary(Ae),pe.placeholder=!0,I.required.has(le)&&I.missing.add(ae)),I.missing.has(ae)&&I.validating&&(te=t.styles.warning(Ae)),I.invalid.has(le)&&I.validating&&(te=t.styles.danger(Ae)),b===I.index&&(we!==te?te=t.styles.underline(te):te=t.styles.heading(d0e.unstyle(te))),b++}te&&(I.output+=te)}let T=I.output.split(` -`).map(J=>" "+J),L=n.length,U=0;for(let J of n)I.invalid.has(J.name)&&J.lines.forEach(te=>{T[te][0]===" "&&(T[te]=I.styles.danger(I.symbols.bullet)+T[te].slice(1))}),t.isValue(I.values[J.name])&&U++;return I.completed=(U/L*100).toFixed(0),I.output=T.join(` -`),I.output}};function h8(t,e,r,o){return(a,n,u,A)=>typeof u.field[t]=="function"?u.field[t].call(e,a,n,u,A):[o,a].find(p=>e.isValue(p))}});var C0e=_((S8t,E0e)=>{"use strict";var Vft=Vc(),Kft=y0e(),Jft=hC(),d8=class extends Jft{constructor(e){super(e),this.cursorHide(),this.reset(!0)}async initialize(){this.interpolate=await Kft(this),await super.initialize()}async reset(e){this.state.keys=[],this.state.invalid=new Map,this.state.missing=new Set,this.state.completed=0,this.state.values={},e!==!0&&(await this.initialize(),await this.render())}moveCursor(e){let r=this.getItem();this.cursor+=e,r.cursor+=e}dispatch(e,r){if(!r.code&&!r.ctrl&&e!=null&&this.getItem()){this.append(e,r);return}this.alert()}append(e,r){let o=this.getItem(),a=o.input.slice(0,this.cursor),n=o.input.slice(this.cursor);this.input=o.input=`${a}${e}${n}`,this.moveCursor(1),this.render()}delete(){let e=this.getItem();if(this.cursor<=0||!e.input)return this.alert();let r=e.input.slice(this.cursor),o=e.input.slice(0,this.cursor-1);this.input=e.input=`${o}${r}`,this.moveCursor(-1),this.render()}increment(e){return e>=this.state.keys.length-1?0:e+1}decrement(e){return e<=0?this.state.keys.length-1:e-1}first(){this.state.index=0,this.render()}last(){this.state.index=this.state.keys.length-1,this.render()}right(){if(this.cursor>=this.input.length)return this.alert();this.moveCursor(1),this.render()}left(){if(this.cursor<=0)return this.alert();this.moveCursor(-1),this.render()}prev(){this.state.index=this.decrement(this.state.index),this.getItem(),this.render()}next(){this.state.index=this.increment(this.state.index),this.getItem(),this.render()}up(){this.prev()}down(){this.next()}format(e){let r=this.state.completed<100?this.styles.warning:this.styles.success;return this.state.submitted===!0&&this.state.completed!==100&&(r=this.styles.danger),r(`${this.state.completed}% completed`)}async render(){let{index:e,keys:r=[],submitted:o,size:a}=this.state,n=[this.options.newline,` -`].find(J=>J!=null),u=await this.prefix(),A=await this.separator(),p=await this.message(),h=[u,p,A].filter(Boolean).join(" ");this.state.prompt=h;let E=await this.header(),I=await this.error()||"",v=await this.hint()||"",b=o?"":await this.interpolate(this.state),C=this.state.key=r[e]||"",T=await this.format(C),L=await this.footer();T&&(h+=" "+T),v&&!T&&this.state.completed===0&&(h+=" "+v),this.clear(a);let U=[E,h,b,L,I.trim()];this.write(U.filter(Boolean).join(n)),this.restore()}getItem(e){let{items:r,keys:o,index:a}=this.state,n=r.find(u=>u.name===o[a]);return n&&n.input!=null&&(this.input=n.input,this.cursor=n.cursor),n}async submit(){typeof this.interpolate!="function"&&await this.initialize(),await this.interpolate(this.state,!0);let{invalid:e,missing:r,output:o,values:a}=this.state;if(e.size){let A="";for(let[p,h]of e)A+=`Invalid ${p}: ${h} -`;return this.state.error=A,super.submit()}if(r.size)return this.state.error="Required: "+[...r.keys()].join(", "),super.submit();let u=Vft.unstyle(o).split(` -`).map(A=>A.slice(1)).join(` -`);return this.value={values:a,result:u},super.submit()}};E0e.exports=d8});var I0e=_((x8t,w0e)=>{"use strict";var zft="(Use <shift>+<up/down> to sort)",Xft=Sh(),m8=class extends Xft{constructor(e){super({...e,reorder:!1,sort:!0,multiple:!0}),this.state.hint=[this.options.hint,zft].find(this.isValue.bind(this))}indicator(){return""}async renderChoice(e,r){let o=await super.renderChoice(e,r),a=this.symbols.identicalTo+" ",n=this.index===r&&this.sorting?this.styles.muted(a):" ";return this.options.drag===!1&&(n=""),this.options.numbered===!0?n+`${r+1} - `+o:n+o}get selected(){return this.choices}submit(){return this.value=this.choices.map(e=>e.value),super.submit()}};w0e.exports=m8});var v0e=_((b8t,B0e)=>{"use strict";var Zft=c2(),y8=class extends Zft{constructor(e={}){if(super(e),this.emptyError=e.emptyError||"No items were selected",this.term=process.env.TERM_PROGRAM,!this.options.header){let r=["","4 - Strongly Agree","3 - Agree","2 - Neutral","1 - Disagree","0 - Strongly Disagree",""];r=r.map(o=>this.styles.muted(o)),this.state.header=r.join(` - `)}}async toChoices(...e){if(this.createdScales)return!1;this.createdScales=!0;let r=await super.toChoices(...e);for(let o of r)o.scale=$ft(5,this.options),o.scaleIdx=2;return r}dispatch(){this.alert()}space(){let e=this.focused,r=e.scale[e.scaleIdx],o=r.selected;return e.scale.forEach(a=>a.selected=!1),r.selected=!o,this.render()}indicator(){return""}pointer(){return""}separator(){return this.styles.muted(this.symbols.ellipsis)}right(){let e=this.focused;return e.scaleIdx>=e.scale.length-1?this.alert():(e.scaleIdx++,this.render())}left(){let e=this.focused;return e.scaleIdx<=0?this.alert():(e.scaleIdx--,this.render())}indent(){return" "}async renderChoice(e,r){await this.onChoice(e,r);let o=this.index===r,a=this.term==="Hyper",n=a?9:8,u=a?"":" ",A=this.symbols.line.repeat(n),p=" ".repeat(n+(a?0:1)),h=te=>(te?this.styles.success("\u25C9"):"\u25EF")+u,E=r+1+".",I=o?this.styles.heading:this.styles.noop,v=await 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Kk(t,[{key:"fromJS",value:function(r){r(this.left,this.right,this.top,this.bottom,this.width,this.height)}},{key:"toString",value:function(){return"<Layout#"+this.left+":"+this.right+";"+this.top+":"+this.bottom+";"+this.width+":"+this.height+">"}}]),t}(),TEe=function(){Kk(t,null,[{key:"fromJS",value:function(r){var o=r.width,a=r.height;return new t(o,a)}}]);function t(e,r){k6(this,t),this.width=e,this.height=r}return Kk(t,[{key:"fromJS",value:function(r){r(this.width,this.height)}},{key:"toString",value:function(){return"<Size#"+this.width+"x"+this.height+">"}}]),t}(),REe=function(){function t(e,r){k6(this,t),this.unit=e,this.value=r}return Kk(t,[{key:"fromJS",value:function(r){r(this.unit,this.value)}},{key:"toString",value:function(){switch(this.unit){case tu.UNIT_POINT:return String(this.value);case tu.UNIT_PERCENT:return this.value+"%";case tu.UNIT_AUTO:return"auto";default:return this.value+"?"}}},{key:"valueOf",value:function(){return this.value}}]),t}();NEe.exports=function(t,e){function r(u,A,p){var h=u[A];u[A]=function(){for(var E=arguments.length,I=Array(E),v=0;v<E;v++)I[v]=arguments[v];return p.call.apply(p,[this,h].concat(I))}}for(var o=["setPosition","setMargin","setFlexBasis","setWidth","setHeight","setMinWidth","setMinHeight","setMaxWidth","setMaxHeight","setPadding"],a=function(){var A,p=o[n],h=(A={},b6(A,tu.UNIT_POINT,e.Node.prototype[p]),b6(A,tu.UNIT_PERCENT,e.Node.prototype[p+"Percent"]),b6(A,tu.UNIT_AUTO,e.Node.prototype[p+"Auto"]),A);r(e.Node.prototype,p,function(E){for(var I=arguments.length,v=Array(I>1?I-1:0),b=1;b<I;b++)v[b-1]=arguments[b];var C=v.pop(),T=void 0,L=void 0;if(C==="auto")T=tu.UNIT_AUTO,L=void 0;else if(C instanceof REe)T=C.unit,L=C.valueOf();else if(T=typeof C=="string"&&C.endsWith("%")?tu.UNIT_PERCENT:tu.UNIT_POINT,L=parseFloat(C),!Number.isNaN(C)&&Number.isNaN(L))throw new Error("Invalid value "+C+" for "+p);if(!h[T])throw new Error('Failed to execute "'+p+`": Unsupported unit '`+C+"'");if(L!==void 0){var U;return(U=h[T]).call.apply(U,[this].concat(v,[L]))}else{var J;return(J=h[T]).call.apply(J,[this].concat(v))}})},n=0;n<o.length;n++)a();return r(e.Config.prototype,"free",function(){e.Config.destroy(this)}),r(e.Node,"create",function(u,A){return A?e.Node.createWithConfig(A):e.Node.createDefault()}),r(e.Node.prototype,"free",function(){e.Node.destroy(this)}),r(e.Node.prototype,"freeRecursive",function(){for(var u=0,A=this.getChildCount();u<A;++u)this.getChild(0).freeRecursive();this.free()}),r(e.Node.prototype,"setMeasureFunc",function(u,A){return A?u.call(this,function(){return TEe.fromJS(A.apply(void 0,arguments))}):this.unsetMeasureFunc()}),r(e.Node.prototype,"calculateLayout",function(u){var A=arguments.length>1&&arguments[1]!==void 0?arguments[1]:NaN,p=arguments.length>2&&arguments[2]!==void 0?arguments[2]:NaN,h=arguments.length>3&&arguments[3]!==void 0?arguments[3]:tu.DIRECTION_LTR;return u.call(this,A,p,h)}),Vyt({Config:e.Config,Node:e.Node,Layout:t("Layout",Kyt),Size:t("Size",TEe),Value:t("Value",REe),getInstanceCount:function(){return e.getInstanceCount.apply(e,arguments)}},tu)}});var MEe=_((exports,module)=>{(function(t,e){typeof define=="function"&&define.amd?define([],function(){return e}):typeof module=="object"&&module.exports?module.exports=e:(t.nbind=t.nbind||{}).init=e})(exports,function(Module,cb){typeof Module=="function"&&(cb=Module,Module={}),Module.onRuntimeInitialized=function(t,e){return function(){t&&t.apply(this,arguments);try{Module.ccall("nbind_init")}catch(r){e(r);return}e(null,{bind:Module._nbind_value,reflect:Module.NBind.reflect,queryType:Module.NBind.queryType,toggleLightGC:Module.toggleLightGC,lib:Module})}}(Module.onRuntimeInitialized,cb);var Module;Module||(Module=(typeof Module<"u"?Module:null)||{});var moduleOverrides={};for(var key in Module)Module.hasOwnProperty(key)&&(moduleOverrides[key]=Module[key]);var ENVIRONMENT_IS_WEB=!1,ENVIRONMENT_IS_WORKER=!1,ENVIRONMENT_IS_NODE=!1,ENVIRONMENT_IS_SHELL=!1;if(Module.ENVIRONMENT)if(Module.ENVIRONMENT==="WEB")ENVIRONMENT_IS_WEB=!0;else if(Module.ENVIRONMENT==="WORKER")ENVIRONMENT_IS_WORKER=!0;else if(Module.ENVIRONMENT==="NODE")ENVIRONMENT_IS_NODE=!0;else if(Module.ENVIRONMENT==="SHELL")ENVIRONMENT_IS_SHELL=!0;else throw new Error("The provided Module['ENVIRONMENT'] value is not valid. It must be one of: WEB|WORKER|NODE|SHELL.");else ENVIRONMENT_IS_WEB=typeof window=="object",ENVIRONMENT_IS_WORKER=typeof importScripts=="function",ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof Be=="function"&&!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_WORKER,ENVIRONMENT_IS_SHELL=!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_NODE&&!ENVIRONMENT_IS_WORKER;if(ENVIRONMENT_IS_NODE){Module.print||(Module.print=console.log),Module.printErr||(Module.printErr=console.warn);var nodeFS,nodePath;Module.read=function(e,r){nodeFS||(nodeFS={}("")),nodePath||(nodePath={}("")),e=nodePath.normalize(e);var o=nodeFS.readFileSync(e);return r?o:o.toString()},Module.readBinary=function(e){var r=Module.read(e,!0);return r.buffer||(r=new Uint8Array(r)),assert(r.buffer),r},Module.load=function(e){globalEval(read(e))},Module.thisProgram||(process.argv.length>1?Module.thisProgram=process.argv[1].replace(/\\/g,"/"):Module.thisProgram="unknown-program"),Module.arguments=process.argv.slice(2),typeof module<"u"&&(module.exports=Module),Module.inspect=function(){return"[Emscripten Module object]"}}else if(ENVIRONMENT_IS_SHELL)Module.print||(Module.print=print),typeof printErr<"u"&&(Module.printErr=printErr),typeof read<"u"?Module.read=read:Module.read=function(){throw"no read() available"},Module.readBinary=function(e){if(typeof readbuffer=="function")return new Uint8Array(readbuffer(e));var r=read(e,"binary");return assert(typeof r=="object"),r},typeof scriptArgs<"u"?Module.arguments=scriptArgs:typeof arguments<"u"&&(Module.arguments=arguments),typeof quit=="function"&&(Module.quit=function(t,e){quit(t)});else if(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER){if(Module.read=function(e){var r=new XMLHttpRequest;return r.open("GET",e,!1),r.send(null),r.responseText},ENVIRONMENT_IS_WORKER&&(Module.readBinary=function(e){var r=new XMLHttpRequest;return r.open("GET",e,!1),r.responseType="arraybuffer",r.send(null),new Uint8Array(r.response)}),Module.readAsync=function(e,r,o){var a=new XMLHttpRequest;a.open("GET",e,!0),a.responseType="arraybuffer",a.onload=function(){a.status==200||a.status==0&&a.response?r(a.response):o()},a.onerror=o,a.send(null)},typeof arguments<"u"&&(Module.arguments=arguments),typeof console<"u")Module.print||(Module.print=function(e){console.log(e)}),Module.printErr||(Module.printErr=function(e){console.warn(e)});else{var TRY_USE_DUMP=!1;Module.print||(Module.print=TRY_USE_DUMP&&typeof dump<"u"?function(t){dump(t)}:function(t){})}ENVIRONMENT_IS_WORKER&&(Module.load=importScripts),typeof Module.setWindowTitle>"u"&&(Module.setWindowTitle=function(t){document.title=t})}else throw"Unknown runtime environment. Where are we?";function globalEval(t){eval.call(null,t)}!Module.load&&Module.read&&(Module.load=function(e){globalEval(Module.read(e))}),Module.print||(Module.print=function(){}),Module.printErr||(Module.printErr=Module.print),Module.arguments||(Module.arguments=[]),Module.thisProgram||(Module.thisProgram="./this.program"),Module.quit||(Module.quit=function(t,e){throw e}),Module.print=Module.print,Module.printErr=Module.printErr,Module.preRun=[],Module.postRun=[];for(var key in moduleOverrides)moduleOverrides.hasOwnProperty(key)&&(Module[key]=moduleOverrides[key]);moduleOverrides=void 0;var Runtime={setTempRet0:function(t){return tempRet0=t,t},getTempRet0:function(){return tempRet0},stackSave:function(){return STACKTOP},stackRestore:function(t){STACKTOP=t},getNativeTypeSize:function(t){switch(t){case"i1":case"i8":return 1;case"i16":return 2;case"i32":return 4;case"i64":return 8;case"float":return 4;case"double":return 8;default:{if(t[t.length-1]==="*")return Runtime.QUANTUM_SIZE;if(t[0]==="i"){var e=parseInt(t.substr(1));return assert(e%8===0),e/8}else return 0}}},getNativeFieldSize:function(t){return Math.max(Runtime.getNativeTypeSize(t),Runtime.QUANTUM_SIZE)},STACK_ALIGN:16,prepVararg:function(t,e){return e==="double"||e==="i64"?t&7&&(assert((t&7)===4),t+=4):assert((t&3)===0),t},getAlignSize:function(t,e,r){return!r&&(t=="i64"||t=="double")?8:t?Math.min(e||(t?Runtime.getNativeFieldSize(t):0),Runtime.QUANTUM_SIZE):Math.min(e,8)},dynCall:function(t,e,r){return r&&r.length?Module["dynCall_"+t].apply(null,[e].concat(r)):Module["dynCall_"+t].call(null,e)},functionPointers:[],addFunction:function(t){for(var e=0;e<Runtime.functionPointers.length;e++)if(!Runtime.functionPointers[e])return Runtime.functionPointers[e]=t,2*(1+e);throw"Finished up all reserved function pointers. Use a higher value for RESERVED_FUNCTION_POINTERS."},removeFunction:function(t){Runtime.functionPointers[(t-2)/2]=null},warnOnce:function(t){Runtime.warnOnce.shown||(Runtime.warnOnce.shown={}),Runtime.warnOnce.shown[t]||(Runtime.warnOnce.shown[t]=1,Module.printErr(t))},funcWrappers:{},getFuncWrapper:function(t,e){if(!!t){assert(e),Runtime.funcWrappers[e]||(Runtime.funcWrappers[e]={});var r=Runtime.funcWrappers[e];return r[t]||(e.length===1?r[t]=function(){return Runtime.dynCall(e,t)}:e.length===2?r[t]=function(a){return Runtime.dynCall(e,t,[a])}:r[t]=function(){return Runtime.dynCall(e,t,Array.prototype.slice.call(arguments))}),r[t]}},getCompilerSetting:function(t){throw"You must build with -s RETAIN_COMPILER_SETTINGS=1 for Runtime.getCompilerSetting or emscripten_get_compiler_setting to work"},stackAlloc:function(t){var e=STACKTOP;return STACKTOP=STACKTOP+t|0,STACKTOP=STACKTOP+15&-16,e},staticAlloc:function(t){var e=STATICTOP;return STATICTOP=STATICTOP+t|0,STATICTOP=STATICTOP+15&-16,e},dynamicAlloc:function(t){var e=HEAP32[DYNAMICTOP_PTR>>2],r=(e+t+15|0)&-16;if(HEAP32[DYNAMICTOP_PTR>>2]=r,r>=TOTAL_MEMORY){var o=enlargeMemory();if(!o)return HEAP32[DYNAMICTOP_PTR>>2]=e,0}return e},alignMemory:function(t,e){var r=t=Math.ceil(t/(e||16))*(e||16);return r},makeBigInt:function(t,e,r){var o=r?+(t>>>0)+ +(e>>>0)*4294967296:+(t>>>0)+ +(e|0)*4294967296;return o},GLOBAL_BASE:8,QUANTUM_SIZE:4,__dummy__:0};Module.Runtime=Runtime;var ABORT=0,EXITSTATUS=0;function assert(t,e){t||abort("Assertion failed: "+e)}function getCFunc(ident){var func=Module["_"+ident];if(!func)try{func=eval("_"+ident)}catch(t){}return assert(func,"Cannot call unknown function "+ident+" (perhaps LLVM optimizations or closure removed it?)"),func}var cwrap,ccall;(function(){var JSfuncs={stackSave:function(){Runtime.stackSave()},stackRestore:function(){Runtime.stackRestore()},arrayToC:function(t){var e=Runtime.stackAlloc(t.length);return writeArrayToMemory(t,e),e},stringToC:function(t){var e=0;if(t!=null&&t!==0){var r=(t.length<<2)+1;e=Runtime.stackAlloc(r),stringToUTF8(t,e,r)}return e}},toC={string:JSfuncs.stringToC,array:JSfuncs.arrayToC};ccall=function(e,r,o,a,n){var u=getCFunc(e),A=[],p=0;if(a)for(var h=0;h<a.length;h++){var E=toC[o[h]];E?(p===0&&(p=Runtime.stackSave()),A[h]=E(a[h])):A[h]=a[h]}var I=u.apply(null,A);if(r==="string"&&(I=Pointer_stringify(I)),p!==0){if(n&&n.async){EmterpreterAsync.asyncFinalizers.push(function(){Runtime.stackRestore(p)});return}Runtime.stackRestore(p)}return I};var sourceRegex=/^function\s*[a-zA-Z$_0-9]*\s*\(([^)]*)\)\s*{\s*([^*]*?)[\s;]*(?:return\s*(.*?)[;\s]*)?}$/;function parseJSFunc(t){var e=t.toString().match(sourceRegex).slice(1);return{arguments:e[0],body:e[1],returnValue:e[2]}}var JSsource=null;function ensureJSsource(){if(!JSsource){JSsource={};for(var t in JSfuncs)JSfuncs.hasOwnProperty(t)&&(JSsource[t]=parseJSFunc(JSfuncs[t]))}}cwrap=function cwrap(ident,returnType,argTypes){argTypes=argTypes||[];var cfunc=getCFunc(ident),numericArgs=argTypes.every(function(t){return t==="number"}),numericRet=returnType!=="string";if(numericRet&&numericArgs)return cfunc;var argNames=argTypes.map(function(t,e){return"$"+e}),funcstr="(function("+argNames.join(",")+") {",nargs=argTypes.length;if(!numericArgs){ensureJSsource(),funcstr+="var stack = "+JSsource.stackSave.body+";";for(var i=0;i<nargs;i++){var arg=argNames[i],type=argTypes[i];if(type!=="number"){var convertCode=JSsource[type+"ToC"];funcstr+="var "+convertCode.arguments+" = "+arg+";",funcstr+=convertCode.body+";",funcstr+=arg+"=("+convertCode.returnValue+");"}}}var cfuncname=parseJSFunc(function(){return cfunc}).returnValue;if(funcstr+="var ret = "+cfuncname+"("+argNames.join(",")+");",!numericRet){var strgfy=parseJSFunc(function(){return Pointer_stringify}).returnValue;funcstr+="ret = "+strgfy+"(ret);"}return numericArgs||(ensureJSsource(),funcstr+=JSsource.stackRestore.body.replace("()","(stack)")+";"),funcstr+="return ret})",eval(funcstr)}})(),Module.ccall=ccall,Module.cwrap=cwrap;function setValue(t,e,r,o){switch(r=r||"i8",r.charAt(r.length-1)==="*"&&(r="i32"),r){case"i1":HEAP8[t>>0]=e;break;case"i8":HEAP8[t>>0]=e;break;case"i16":HEAP16[t>>1]=e;break;case"i32":HEAP32[t>>2]=e;break;case"i64":tempI64=[e>>>0,(tempDouble=e,+Math_abs(tempDouble)>=1?tempDouble>0?(Math_min(+Math_floor(tempDouble/4294967296),4294967295)|0)>>>0:~~+Math_ceil((tempDouble-+(~~tempDouble>>>0))/4294967296)>>>0:0)],HEAP32[t>>2]=tempI64[0],HEAP32[t+4>>2]=tempI64[1];break;case"float":HEAPF32[t>>2]=e;break;case"double":HEAPF64[t>>3]=e;break;default:abort("invalid type for setValue: "+r)}}Module.setValue=setValue;function getValue(t,e,r){switch(e=e||"i8",e.charAt(e.length-1)==="*"&&(e="i32"),e){case"i1":return HEAP8[t>>0];case"i8":return HEAP8[t>>0];case"i16":return HEAP16[t>>1];case"i32":return HEAP32[t>>2];case"i64":return HEAP32[t>>2];case"float":return HEAPF32[t>>2];case"double":return HEAPF64[t>>3];default:abort("invalid type for setValue: "+e)}return null}Module.getValue=getValue;var ALLOC_NORMAL=0,ALLOC_STACK=1,ALLOC_STATIC=2,ALLOC_DYNAMIC=3,ALLOC_NONE=4;Module.ALLOC_NORMAL=ALLOC_NORMAL,Module.ALLOC_STACK=ALLOC_STACK,Module.ALLOC_STATIC=ALLOC_STATIC,Module.ALLOC_DYNAMIC=ALLOC_DYNAMIC,Module.ALLOC_NONE=ALLOC_NONE;function allocate(t,e,r,o){var a,n;typeof t=="number"?(a=!0,n=t):(a=!1,n=t.length);var u=typeof e=="string"?e:null,A;if(r==ALLOC_NONE?A=o:A=[typeof _malloc=="function"?_malloc:Runtime.staticAlloc,Runtime.stackAlloc,Runtime.staticAlloc,Runtime.dynamicAlloc][r===void 0?ALLOC_STATIC:r](Math.max(n,u?1:e.length)),a){var o=A,p;for(assert((A&3)==0),p=A+(n&-4);o<p;o+=4)HEAP32[o>>2]=0;for(p=A+n;o<p;)HEAP8[o++>>0]=0;return A}if(u==="i8")return t.subarray||t.slice?HEAPU8.set(t,A):HEAPU8.set(new Uint8Array(t),A),A;for(var h=0,E,I,v;h<n;){var b=t[h];if(typeof b=="function"&&(b=Runtime.getFunctionIndex(b)),E=u||e[h],E===0){h++;continue}E=="i64"&&(E="i32"),setValue(A+h,b,E),v!==E&&(I=Runtime.getNativeTypeSize(E),v=E),h+=I}return A}Module.allocate=allocate;function getMemory(t){return staticSealed?runtimeInitialized?_malloc(t):Runtime.dynamicAlloc(t):Runtime.staticAlloc(t)}Module.getMemory=getMemory;function Pointer_stringify(t,e){if(e===0||!t)return"";for(var r=0,o,a=0;o=HEAPU8[t+a>>0],r|=o,!(o==0&&!e||(a++,e&&a==e)););e||(e=a);var n="";if(r<128){for(var u=1024,A;e>0;)A=String.fromCharCode.apply(String,HEAPU8.subarray(t,t+Math.min(e,u))),n=n?n+A:A,t+=u,e-=u;return n}return Module.UTF8ToString(t)}Module.Pointer_stringify=Pointer_stringify;function AsciiToString(t){for(var e="";;){var r=HEAP8[t++>>0];if(!r)return e;e+=String.fromCharCode(r)}}Module.AsciiToString=AsciiToString;function stringToAscii(t,e){return writeAsciiToMemory(t,e,!1)}Module.stringToAscii=stringToAscii;var UTF8Decoder=typeof TextDecoder<"u"?new TextDecoder("utf8"):void 0;function UTF8ArrayToString(t,e){for(var r=e;t[r];)++r;if(r-e>16&&t.subarray&&UTF8Decoder)return UTF8Decoder.decode(t.subarray(e,r));for(var o,a,n,u,A,p,h="";;){if(o=t[e++],!o)return h;if(!(o&128)){h+=String.fromCharCode(o);continue}if(a=t[e++]&63,(o&224)==192){h+=String.fromCharCode((o&31)<<6|a);continue}if(n=t[e++]&63,(o&240)==224?o=(o&15)<<12|a<<6|n:(u=t[e++]&63,(o&248)==240?o=(o&7)<<18|a<<12|n<<6|u:(A=t[e++]&63,(o&252)==248?o=(o&3)<<24|a<<18|n<<12|u<<6|A:(p=t[e++]&63,o=(o&1)<<30|a<<24|n<<18|u<<12|A<<6|p))),o<65536)h+=String.fromCharCode(o);else{var E=o-65536;h+=String.fromCharCode(55296|E>>10,56320|E&1023)}}}Module.UTF8ArrayToString=UTF8ArrayToString;function UTF8ToString(t){return UTF8ArrayToString(HEAPU8,t)}Module.UTF8ToString=UTF8ToString;function stringToUTF8Array(t,e,r,o){if(!(o>0))return 0;for(var a=r,n=r+o-1,u=0;u<t.length;++u){var A=t.charCodeAt(u);if(A>=55296&&A<=57343&&(A=65536+((A&1023)<<10)|t.charCodeAt(++u)&1023),A<=127){if(r>=n)break;e[r++]=A}else if(A<=2047){if(r+1>=n)break;e[r++]=192|A>>6,e[r++]=128|A&63}else if(A<=65535){if(r+2>=n)break;e[r++]=224|A>>12,e[r++]=128|A>>6&63,e[r++]=128|A&63}else if(A<=2097151){if(r+3>=n)break;e[r++]=240|A>>18,e[r++]=128|A>>12&63,e[r++]=128|A>>6&63,e[r++]=128|A&63}else if(A<=67108863){if(r+4>=n)break;e[r++]=248|A>>24,e[r++]=128|A>>18&63,e[r++]=128|A>>12&63,e[r++]=128|A>>6&63,e[r++]=128|A&63}else{if(r+5>=n)break;e[r++]=252|A>>30,e[r++]=128|A>>24&63,e[r++]=128|A>>18&63,e[r++]=128|A>>12&63,e[r++]=128|A>>6&63,e[r++]=128|A&63}}return e[r]=0,r-a}Module.stringToUTF8Array=stringToUTF8Array;function stringToUTF8(t,e,r){return stringToUTF8Array(t,HEAPU8,e,r)}Module.stringToUTF8=stringToUTF8;function lengthBytesUTF8(t){for(var e=0,r=0;r<t.length;++r){var o=t.charCodeAt(r);o>=55296&&o<=57343&&(o=65536+((o&1023)<<10)|t.charCodeAt(++r)&1023),o<=127?++e:o<=2047?e+=2:o<=65535?e+=3:o<=2097151?e+=4:o<=67108863?e+=5:e+=6}return e}Module.lengthBytesUTF8=lengthBytesUTF8;var UTF16Decoder=typeof TextDecoder<"u"?new TextDecoder("utf-16le"):void 0;function demangle(t){var e=Module.___cxa_demangle||Module.__cxa_demangle;if(e){try{var r=t.substr(1),o=lengthBytesUTF8(r)+1,a=_malloc(o);stringToUTF8(r,a,o);var n=_malloc(4),u=e(a,0,0,n);if(getValue(n,"i32")===0&&u)return Pointer_stringify(u)}catch{}finally{a&&_free(a),n&&_free(n),u&&_free(u)}return t}return Runtime.warnOnce("warning: build with -s DEMANGLE_SUPPORT=1 to link in libcxxabi demangling"),t}function demangleAll(t){var e=/__Z[\w\d_]+/g;return t.replace(e,function(r){var o=demangle(r);return r===o?r:r+" ["+o+"]"})}function jsStackTrace(){var t=new Error;if(!t.stack){try{throw new Error(0)}catch(e){t=e}if(!t.stack)return"(no stack trace available)"}return t.stack.toString()}function stackTrace(){var t=jsStackTrace();return Module.extraStackTrace&&(t+=` -`+Module.extraStackTrace()),demangleAll(t)}Module.stackTrace=stackTrace;var HEAP,buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferViews(){Module.HEAP8=HEAP8=new Int8Array(buffer),Module.HEAP16=HEAP16=new Int16Array(buffer),Module.HEAP32=HEAP32=new Int32Array(buffer),Module.HEAPU8=HEAPU8=new Uint8Array(buffer),Module.HEAPU16=HEAPU16=new Uint16Array(buffer),Module.HEAPU32=HEAPU32=new Uint32Array(buffer),Module.HEAPF32=HEAPF32=new Float32Array(buffer),Module.HEAPF64=HEAPF64=new Float64Array(buffer)}var STATIC_BASE,STATICTOP,staticSealed,STACK_BASE,STACKTOP,STACK_MAX,DYNAMIC_BASE,DYNAMICTOP_PTR;STATIC_BASE=STATICTOP=STACK_BASE=STACKTOP=STACK_MAX=DYNAMIC_BASE=DYNAMICTOP_PTR=0,staticSealed=!1;function abortOnCannotGrowMemory(){abort("Cannot enlarge memory arrays. Either (1) compile with -s TOTAL_MEMORY=X with X higher than the current value "+TOTAL_MEMORY+", (2) compile with -s ALLOW_MEMORY_GROWTH=1 which allows increasing the size at runtime but prevents some optimizations, (3) set Module.TOTAL_MEMORY to a higher value before the program runs, or (4) if you want malloc to return NULL (0) instead of this abort, compile with -s ABORTING_MALLOC=0 ")}function enlargeMemory(){abortOnCannotGrowMemory()}var TOTAL_STACK=Module.TOTAL_STACK||5242880,TOTAL_MEMORY=Module.TOTAL_MEMORY||134217728;TOTAL_MEMORY<TOTAL_STACK&&Module.printErr("TOTAL_MEMORY should be larger than TOTAL_STACK, was "+TOTAL_MEMORY+"! (TOTAL_STACK="+TOTAL_STACK+")"),Module.buffer?buffer=Module.buffer:buffer=new ArrayBuffer(TOTAL_MEMORY),updateGlobalBufferViews();function getTotalMemory(){return TOTAL_MEMORY}if(HEAP32[0]=1668509029,HEAP16[1]=25459,HEAPU8[2]!==115||HEAPU8[3]!==99)throw"Runtime error: expected the system to be little-endian!";Module.HEAP=HEAP,Module.buffer=buffer,Module.HEAP8=HEAP8,Module.HEAP16=HEAP16,Module.HEAP32=HEAP32,Module.HEAPU8=HEAPU8,Module.HEAPU16=HEAPU16,Module.HEAPU32=HEAPU32,Module.HEAPF32=HEAPF32,Module.HEAPF64=HEAPF64;function callRuntimeCallbacks(t){for(;t.length>0;){var e=t.shift();if(typeof e=="function"){e();continue}var r=e.func;typeof r=="number"?e.arg===void 0?Module.dynCall_v(r):Module.dynCall_vi(r,e.arg):r(e.arg===void 0?null:e.arg)}}var __ATPRERUN__=[],__ATINIT__=[],__ATMAIN__=[],__ATEXIT__=[],__ATPOSTRUN__=[],runtimeInitialized=!1,runtimeExited=!1;function preRun(){if(Module.preRun)for(typeof Module.preRun=="function"&&(Module.preRun=[Module.preRun]);Module.preRun.length;)addOnPreRun(Module.preRun.shift());callRuntimeCallbacks(__ATPRERUN__)}function ensureInitRuntime(){runtimeInitialized||(runtimeInitialized=!0,callRuntimeCallbacks(__ATINIT__))}function preMain(){callRuntimeCallbacks(__ATMAIN__)}function exitRuntime(){callRuntimeCallbacks(__ATEXIT__),runtimeExited=!0}function postRun(){if(Module.postRun)for(typeof Module.postRun=="function"&&(Module.postRun=[Module.postRun]);Module.postRun.length;)addOnPostRun(Module.postRun.shift());callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(t){__ATPRERUN__.unshift(t)}Module.addOnPreRun=addOnPreRun;function addOnInit(t){__ATINIT__.unshift(t)}Module.addOnInit=addOnInit;function addOnPreMain(t){__ATMAIN__.unshift(t)}Module.addOnPreMain=addOnPreMain;function addOnExit(t){__ATEXIT__.unshift(t)}Module.addOnExit=addOnExit;function addOnPostRun(t){__ATPOSTRUN__.unshift(t)}Module.addOnPostRun=addOnPostRun;function intArrayFromString(t,e,r){var o=r>0?r:lengthBytesUTF8(t)+1,a=new Array(o),n=stringToUTF8Array(t,a,0,a.length);return e&&(a.length=n),a}Module.intArrayFromString=intArrayFromString;function intArrayToString(t){for(var e=[],r=0;r<t.length;r++){var o=t[r];o>255&&(o&=255),e.push(String.fromCharCode(o))}return e.join("")}Module.intArrayToString=intArrayToString;function writeStringToMemory(t,e,r){Runtime.warnOnce("writeStringToMemory is deprecated and should not be called! Use stringToUTF8() instead!");var o,a;r&&(a=e+lengthBytesUTF8(t),o=HEAP8[a]),stringToUTF8(t,e,1/0),r&&(HEAP8[a]=o)}Module.writeStringToMemory=writeStringToMemory;function writeArrayToMemory(t,e){HEAP8.set(t,e)}Module.writeArrayToMemory=writeArrayToMemory;function writeAsciiToMemory(t,e,r){for(var o=0;o<t.length;++o)HEAP8[e++>>0]=t.charCodeAt(o);r||(HEAP8[e>>0]=0)}if(Module.writeAsciiToMemory=writeAsciiToMemory,(!Math.imul||Math.imul(4294967295,5)!==-5)&&(Math.imul=function t(e,r){var o=e>>>16,a=e&65535,n=r>>>16,u=r&65535;return a*u+(o*u+a*n<<16)|0}),Math.imul=Math.imul,!Math.fround){var froundBuffer=new Float32Array(1);Math.fround=function(t){return froundBuffer[0]=t,froundBuffer[0]}}Math.fround=Math.fround,Math.clz32||(Math.clz32=function(t){t=t>>>0;for(var e=0;e<32;e++)if(t&1<<31-e)return e;return 32}),Math.clz32=Math.clz32,Math.trunc||(Math.trunc=function(t){return t<0?Math.ceil(t):Math.floor(t)}),Math.trunc=Math.trunc;var Math_abs=Math.abs,Math_cos=Math.cos,Math_sin=Math.sin,Math_tan=Math.tan,Math_acos=Math.acos,Math_asin=Math.asin,Math_atan=Math.atan,Math_atan2=Math.atan2,Math_exp=Math.exp,Math_log=Math.log,Math_sqrt=Math.sqrt,Math_ceil=Math.ceil,Math_floor=Math.floor,Math_pow=Math.pow,Math_imul=Math.imul,Math_fround=Math.fround,Math_round=Math.round,Math_min=Math.min,Math_clz32=Math.clz32,Math_trunc=Math.trunc,runDependencies=0,runDependencyWatcher=null,dependenciesFulfilled=null;function getUniqueRunDependency(t){return t}function addRunDependency(t){runDependencies++,Module.monitorRunDependencies&&Module.monitorRunDependencies(runDependencies)}Module.addRunDependency=addRunDependency;function removeRunDependency(t){if(runDependencies--,Module.monitorRunDependencies&&Module.monitorRunDependencies(runDependencies),runDependencies==0&&(runDependencyWatcher!==null&&(clearInterval(runDependencyWatcher),runDependencyWatcher=null),dependenciesFulfilled)){var e=dependenciesFulfilled;dependenciesFulfilled=null,e()}}Module.removeRunDependency=removeRunDependency,Module.preloadedImages={},Module.preloadedAudios={};var ASM_CONSTS=[function(t,e,r,o,a,n,u,A){return _nbind.callbackSignatureList[t].apply(this,arguments)}];function _emscripten_asm_const_iiiiiiii(t,e,r,o,a,n,u,A){return ASM_CONSTS[t](e,r,o,a,n,u,A)}function _emscripten_asm_const_iiiii(t,e,r,o,a){return ASM_CONSTS[t](e,r,o,a)}function _emscripten_asm_const_iiidddddd(t,e,r,o,a,n,u,A,p){return ASM_CONSTS[t](e,r,o,a,n,u,A,p)}function _emscripten_asm_const_iiididi(t,e,r,o,a,n,u){return ASM_CONSTS[t](e,r,o,a,n,u)}function _emscripten_asm_const_iiii(t,e,r,o){return ASM_CONSTS[t](e,r,o)}function _emscripten_asm_const_iiiid(t,e,r,o,a){return ASM_CONSTS[t](e,r,o,a)}function _emscripten_asm_const_iiiiii(t,e,r,o,a,n){return 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Browser.mainLoop.timingMode==0&&(Browser.mainLoop.tickStartTime=_emscripten_get_now());Browser.mainLoop.method==="timeout"&&Module.ctx&&(Module.printErr("Looks like you are rendering without using requestAnimationFrame for the main loop. You should use 0 for the frame rate in emscripten_set_main_loop in order to use requestAnimationFrame, as that can greatly improve your frame rates!"),Browser.mainLoop.method=""),Browser.mainLoop.runIter(n),!(u<Browser.mainLoop.currentlyRunningMainloop)&&(typeof SDL=="object"&&SDL.audio&&SDL.audio.queueNewAudioData&&SDL.audio.queueNewAudioData(),Browser.mainLoop.scheduler())}}},a||(e&&e>0?_emscripten_set_main_loop_timing(0,1e3/e):_emscripten_set_main_loop_timing(1,1),Browser.mainLoop.scheduler()),r)throw"SimulateInfiniteLoop"}var Browser={mainLoop:{scheduler:null,method:"",currentlyRunningMainloop:0,func:null,arg:0,timingMode:0,timingValue:0,currentFrameNumber:0,queue:[],pause:function(){Browser.mainLoop.scheduler=null,Browser.mainLoop.currentlyRunningMainloop++},resume:function(){Browser.mainLoop.currentlyRunningMainloop++;var t=Browser.mainLoop.timingMode,e=Browser.mainLoop.timingValue,r=Browser.mainLoop.func;Browser.mainLoop.func=null,_emscripten_set_main_loop(r,0,!1,Browser.mainLoop.arg,!0),_emscripten_set_main_loop_timing(t,e),Browser.mainLoop.scheduler()},updateStatus:function(){if(Module.setStatus){var t=Module.statusMessage||"Please wait...",e=Browser.mainLoop.remainingBlockers,r=Browser.mainLoop.expectedBlockers;e?e<r?Module.setStatus(t+" ("+(r-e)+"/"+r+")"):Module.setStatus(t):Module.setStatus("")}},runIter:function(t){if(!ABORT){if(Module.preMainLoop){var e=Module.preMainLoop();if(e===!1)return}try{t()}catch(r){if(r instanceof ExitStatus)return;throw r&&typeof r=="object"&&r.stack&&Module.printErr("exception thrown: "+[r,r.stack]),r}Module.postMainLoop&&Module.postMainLoop()}}},isFullscreen:!1,pointerLock:!1,moduleContextCreatedCallbacks:[],workers:[],init:function(){if(Module.preloadPlugins||(Module.preloadPlugins=[]),Browser.initted)return;Browser.initted=!0;try{new Blob,Browser.hasBlobConstructor=!0}catch{Browser.hasBlobConstructor=!1,console.log("warning: no blob constructor, cannot create blobs with mimetypes")}Browser.BlobBuilder=typeof MozBlobBuilder<"u"?MozBlobBuilder:typeof WebKitBlobBuilder<"u"?WebKitBlobBuilder:Browser.hasBlobConstructor?null:console.log("warning: no BlobBuilder"),Browser.URLObject=typeof window<"u"?window.URL?window.URL:window.webkitURL:void 0,!Module.noImageDecoding&&typeof Browser.URLObject>"u"&&(console.log("warning: Browser does not support creating object URLs. Built-in browser image decoding will not be available."),Module.noImageDecoding=!0);var t={};t.canHandle=function(n){return!Module.noImageDecoding&&/\.(jpg|jpeg|png|bmp)$/i.test(n)},t.handle=function(n,u,A,p){var h=null;if(Browser.hasBlobConstructor)try{h=new Blob([n],{type:Browser.getMimetype(u)}),h.size!==n.length&&(h=new Blob([new Uint8Array(n).buffer],{type:Browser.getMimetype(u)}))}catch(b){Runtime.warnOnce("Blob constructor present but fails: "+b+"; falling back to blob builder")}if(!h){var E=new Browser.BlobBuilder;E.append(new Uint8Array(n).buffer),h=E.getBlob()}var I=Browser.URLObject.createObjectURL(h),v=new Image;v.onload=function(){assert(v.complete,"Image "+u+" could not be decoded");var C=document.createElement("canvas");C.width=v.width,C.height=v.height;var T=C.getContext("2d");T.drawImage(v,0,0),Module.preloadedImages[u]=C,Browser.URLObject.revokeObjectURL(I),A&&A(n)},v.onerror=function(C){console.log("Image "+I+" could not be decoded"),p&&p()},v.src=I},Module.preloadPlugins.push(t);var e={};e.canHandle=function(n){return!Module.noAudioDecoding&&n.substr(-4)in{".ogg":1,".wav":1,".mp3":1}},e.handle=function(n,u,A,p){var h=!1;function E(T){h||(h=!0,Module.preloadedAudios[u]=T,A&&A(n))}function I(){h||(h=!0,Module.preloadedAudios[u]=new Audio,p&&p())}if(Browser.hasBlobConstructor){try{var v=new Blob([n],{type:Browser.getMimetype(u)})}catch{return I()}var b=Browser.URLObject.createObjectURL(v),C=new Audio;C.addEventListener("canplaythrough",function(){E(C)},!1),C.onerror=function(L){if(h)return;console.log("warning: browser could not fully decode audio "+u+", trying slower base64 approach");function U(J){for(var te="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/",le="=",pe="",Ae=0,ye=0,ae=0;ae<J.length;ae++)for(Ae=Ae<<8|J[ae],ye+=8;ye>=6;){var we=Ae>>ye-6&63;ye-=6,pe+=te[we]}return ye==2?(pe+=te[(Ae&3)<<4],pe+=le+le):ye==4&&(pe+=te[(Ae&15)<<2],pe+=le),pe}C.src="data:audio/x-"+u.substr(-3)+";base64,"+U(n),E(C)},C.src=b,Browser.safeSetTimeout(function(){E(C)},1e4)}else return I()},Module.preloadPlugins.push(e);function r(){Browser.pointerLock=document.pointerLockElement===Module.canvas||document.mozPointerLockElement===Module.canvas||document.webkitPointerLockElement===Module.canvas||document.msPointerLockElement===Module.canvas}var o=Module.canvas;o&&(o.requestPointerLock=o.requestPointerLock||o.mozRequestPointerLock||o.webkitRequestPointerLock||o.msRequestPointerLock||function(){},o.exitPointerLock=document.exitPointerLock||document.mozExitPointerLock||document.webkitExitPointerLock||document.msExitPointerLock||function(){},o.exitPointerLock=o.exitPointerLock.bind(document),document.addEventListener("pointerlockchange",r,!1),document.addEventListener("mozpointerlockchange",r,!1),document.addEventListener("webkitpointerlockchange",r,!1),document.addEventListener("mspointerlockchange",r,!1),Module.elementPointerLock&&o.addEventListener("click",function(a){!Browser.pointerLock&&Module.canvas.requestPointerLock&&(Module.canvas.requestPointerLock(),a.preventDefault())},!1))},createContext:function(t,e,r,o){if(e&&Module.ctx&&t==Module.canvas)return Module.ctx;var a,n;if(e){var u={antialias:!1,alpha:!1};if(o)for(var A in o)u[A]=o[A];n=GL.createContext(t,u),n&&(a=GL.getContext(n).GLctx)}else a=t.getContext("2d");return a?(r&&(e||assert(typeof GLctx>"u","cannot set in module if GLctx is used, but we are a non-GL context that would replace it"),Module.ctx=a,e&&GL.makeContextCurrent(n),Module.useWebGL=e,Browser.moduleContextCreatedCallbacks.forEach(function(p){p()}),Browser.init()),a):null},destroyContext:function(t,e,r){},fullscreenHandlersInstalled:!1,lockPointer:void 0,resizeCanvas:void 0,requestFullscreen:function(t,e,r){Browser.lockPointer=t,Browser.resizeCanvas=e,Browser.vrDevice=r,typeof Browser.lockPointer>"u"&&(Browser.lockPointer=!0),typeof Browser.resizeCanvas>"u"&&(Browser.resizeCanvas=!1),typeof Browser.vrDevice>"u"&&(Browser.vrDevice=null);var o=Module.canvas;function a(){Browser.isFullscreen=!1;var u=o.parentNode;(document.fullscreenElement||document.mozFullScreenElement||document.msFullscreenElement||document.webkitFullscreenElement||document.webkitCurrentFullScreenElement)===u?(o.exitFullscreen=document.exitFullscreen||document.cancelFullScreen||document.mozCancelFullScreen||document.msExitFullscreen||document.webkitCancelFullScreen||function(){},o.exitFullscreen=o.exitFullscreen.bind(document),Browser.lockPointer&&o.requestPointerLock(),Browser.isFullscreen=!0,Browser.resizeCanvas&&Browser.setFullscreenCanvasSize()):(u.parentNode.insertBefore(o,u),u.parentNode.removeChild(u),Browser.resizeCanvas&&Browser.setWindowedCanvasSize()),Module.onFullScreen&&Module.onFullScreen(Browser.isFullscreen),Module.onFullscreen&&Module.onFullscreen(Browser.isFullscreen),Browser.updateCanvasDimensions(o)}Browser.fullscreenHandlersInstalled||(Browser.fullscreenHandlersInstalled=!0,document.addEventListener("fullscreenchange",a,!1),document.addEventListener("mozfullscreenchange",a,!1),document.addEventListener("webkitfullscreenchange",a,!1),document.addEventListener("MSFullscreenChange",a,!1));var n=document.createElement("div");o.parentNode.insertBefore(n,o),n.appendChild(o),n.requestFullscreen=n.requestFullscreen||n.mozRequestFullScreen||n.msRequestFullscreen||(n.webkitRequestFullscreen?function(){n.webkitRequestFullscreen(Element.ALLOW_KEYBOARD_INPUT)}:null)||(n.webkitRequestFullScreen?function(){n.webkitRequestFullScreen(Element.ALLOW_KEYBOARD_INPUT)}:null),r?n.requestFullscreen({vrDisplay:r}):n.requestFullscreen()},requestFullScreen:function(t,e,r){return Module.printErr("Browser.requestFullScreen() is deprecated. Please call Browser.requestFullscreen instead."),Browser.requestFullScreen=function(o,a,n){return Browser.requestFullscreen(o,a,n)},Browser.requestFullscreen(t,e,r)},nextRAF:0,fakeRequestAnimationFrame:function(t){var e=Date.now();if(Browser.nextRAF===0)Browser.nextRAF=e+1e3/60;else for(;e+2>=Browser.nextRAF;)Browser.nextRAF+=1e3/60;var r=Math.max(Browser.nextRAF-e,0);setTimeout(t,r)},requestAnimationFrame:function t(e){typeof window>"u"?Browser.fakeRequestAnimationFrame(e):(window.requestAnimationFrame||(window.requestAnimationFrame=window.requestAnimationFrame||window.mozRequestAnimationFrame||window.webkitRequestAnimationFrame||window.msRequestAnimationFrame||window.oRequestAnimationFrame||Browser.fakeRequestAnimationFrame),window.requestAnimationFrame(e))},safeCallback:function(t){return function(){if(!ABORT)return t.apply(null,arguments)}},allowAsyncCallbacks:!0,queuedAsyncCallbacks:[],pauseAsyncCallbacks:function(){Browser.allowAsyncCallbacks=!1},resumeAsyncCallbacks:function(){if(Browser.allowAsyncCallbacks=!0,Browser.queuedAsyncCallbacks.length>0){var t=Browser.queuedAsyncCallbacks;Browser.queuedAsyncCallbacks=[],t.forEach(function(e){e()})}},safeRequestAnimationFrame:function(t){return Browser.requestAnimationFrame(function(){ABORT||(Browser.allowAsyncCallbacks?t():Browser.queuedAsyncCallbacks.push(t))})},safeSetTimeout:function(t,e){return Module.noExitRuntime=!0,setTimeout(function(){ABORT||(Browser.allowAsyncCallbacks?t():Browser.queuedAsyncCallbacks.push(t))},e)},safeSetInterval:function(t,e){return Module.noExitRuntime=!0,setInterval(function(){ABORT||Browser.allowAsyncCallbacks&&t()},e)},getMimetype:function(t){return{jpg:"image/jpeg",jpeg:"image/jpeg",png:"image/png",bmp:"image/bmp",ogg:"audio/ogg",wav:"audio/wav",mp3:"audio/mpeg"}[t.substr(t.lastIndexOf(".")+1)]},getUserMedia:function(t){window.getUserMedia||(window.getUserMedia=navigator.getUserMedia||navigator.mozGetUserMedia),window.getUserMedia(t)},getMovementX:function(t){return t.movementX||t.mozMovementX||t.webkitMovementX||0},getMovementY:function(t){return t.movementY||t.mozMovementY||t.webkitMovementY||0},getMouseWheelDelta:function(t){var e=0;switch(t.type){case"DOMMouseScroll":e=t.detail;break;case"mousewheel":e=t.wheelDelta;break;case"wheel":e=t.deltaY;break;default:throw"unrecognized mouse wheel event: "+t.type}return e},mouseX:0,mouseY:0,mouseMovementX:0,mouseMovementY:0,touches:{},lastTouches:{},calculateMouseEvent:function(t){if(Browser.pointerLock)t.type!="mousemove"&&"mozMovementX"in t?Browser.mouseMovementX=Browser.mouseMovementY=0:(Browser.mouseMovementX=Browser.getMovementX(t),Browser.mouseMovementY=Browser.getMovementY(t)),typeof SDL<"u"?(Browser.mouseX=SDL.mouseX+Browser.mouseMovementX,Browser.mouseY=SDL.mouseY+Browser.mouseMovementY):(Browser.mouseX+=Browser.mouseMovementX,Browser.mouseY+=Browser.mouseMovementY);else{var e=Module.canvas.getBoundingClientRect(),r=Module.canvas.width,o=Module.canvas.height,a=typeof window.scrollX<"u"?window.scrollX:window.pageXOffset,n=typeof window.scrollY<"u"?window.scrollY:window.pageYOffset;if(t.type==="touchstart"||t.type==="touchend"||t.type==="touchmove"){var u=t.touch;if(u===void 0)return;var A=u.pageX-(a+e.left),p=u.pageY-(n+e.top);A=A*(r/e.width),p=p*(o/e.height);var h={x:A,y:p};if(t.type==="touchstart")Browser.lastTouches[u.identifier]=h,Browser.touches[u.identifier]=h;else if(t.type==="touchend"||t.type==="touchmove"){var E=Browser.touches[u.identifier];E||(E=h),Browser.lastTouches[u.identifier]=E,Browser.touches[u.identifier]=h}return}var I=t.pageX-(a+e.left),v=t.pageY-(n+e.top);I=I*(r/e.width),v=v*(o/e.height),Browser.mouseMovementX=I-Browser.mouseX,Browser.mouseMovementY=v-Browser.mouseY,Browser.mouseX=I,Browser.mouseY=v}},asyncLoad:function(t,e,r,o){var a=o?"":"al "+t;Module.readAsync(t,function(n){assert(n,'Loading data file "'+t+'" failed (no arrayBuffer).'),e(new Uint8Array(n)),a&&removeRunDependency(a)},function(n){if(r)r();else throw'Loading data file "'+t+'" failed.'}),a&&addRunDependency(a)},resizeListeners:[],updateResizeListeners:function(){var t=Module.canvas;Browser.resizeListeners.forEach(function(e){e(t.width,t.height)})},setCanvasSize:function(t,e,r){var o=Module.canvas;Browser.updateCanvasDimensions(o,t,e),r||Browser.updateResizeListeners()},windowedWidth:0,windowedHeight:0,setFullscreenCanvasSize:function(){if(typeof SDL<"u"){var t=HEAPU32[SDL.screen+Runtime.QUANTUM_SIZE*0>>2];t=t|8388608,HEAP32[SDL.screen+Runtime.QUANTUM_SIZE*0>>2]=t}Browser.updateResizeListeners()},setWindowedCanvasSize:function(){if(typeof SDL<"u"){var t=HEAPU32[SDL.screen+Runtime.QUANTUM_SIZE*0>>2];t=t&-8388609,HEAP32[SDL.screen+Runtime.QUANTUM_SIZE*0>>2]=t}Browser.updateResizeListeners()},updateCanvasDimensions:function(t,e,r){e&&r?(t.widthNative=e,t.heightNative=r):(e=t.widthNative,r=t.heightNative);var o=e,a=r;if(Module.forcedAspectRatio&&Module.forcedAspectRatio>0&&(o/a<Module.forcedAspectRatio?o=Math.round(a*Module.forcedAspectRatio):a=Math.round(o/Module.forcedAspectRatio)),(document.fullscreenElement||document.mozFullScreenElement||document.msFullscreenElement||document.webkitFullscreenElement||document.webkitCurrentFullScreenElement)===t.parentNode&&typeof screen<"u"){var n=Math.min(screen.width/o,screen.height/a);o=Math.round(o*n),a=Math.round(a*n)}Browser.resizeCanvas?(t.width!=o&&(t.width=o),t.height!=a&&(t.height=a),typeof t.style<"u"&&(t.style.removeProperty("width"),t.style.removeProperty("height"))):(t.width!=e&&(t.width=e),t.height!=r&&(t.height=r),typeof t.style<"u"&&(o!=e||a!=r?(t.style.setProperty("width",o+"px","important"),t.style.setProperty("height",a+"px","important")):(t.style.removeProperty("width"),t.style.removeProperty("height"))))},wgetRequests:{},nextWgetRequestHandle:0,getNextWgetRequestHandle:function(){var t=Browser.nextWgetRequestHandle;return Browser.nextWgetRequestHandle++,t}},SYSCALLS={varargs:0,get:function(t){SYSCALLS.varargs+=4;var e=HEAP32[SYSCALLS.varargs-4>>2];return e},getStr:function(){var t=Pointer_stringify(SYSCALLS.get());return t},get64:function(){var t=SYSCALLS.get(),e=SYSCALLS.get();return t>=0?assert(e===0):assert(e===-1),t},getZero:function(){assert(SYSCALLS.get()===0)}};function ___syscall6(t,e){SYSCALLS.varargs=e;try{var r=SYSCALLS.getStreamFromFD();return FS.close(r),0}catch(o){return(typeof FS>"u"||!(o instanceof FS.ErrnoError))&&abort(o),-o.errno}}function ___syscall54(t,e){SYSCALLS.varargs=e;try{return 0}catch(r){return(typeof FS>"u"||!(r instanceof FS.ErrnoError))&&abort(r),-r.errno}}function _typeModule(t){var e=[[0,1,"X"],[1,1,"const X"],[128,1,"X *"],[256,1,"X &"],[384,1,"X &&"],[512,1,"std::shared_ptr<X>"],[640,1,"std::unique_ptr<X>"],[5120,1,"std::vector<X>"],[6144,2,"std::array<X, Y>"],[9216,-1,"std::function<X (Y)>"]];function r(p,h,E,I,v,b){if(h==1){var C=I&896;(C==128||C==256||C==384)&&(p="X const")}var T;return b?T=E.replace("X",p).replace("Y",v):T=p.replace("X",E).replace("Y",v),T.replace(/([*&]) (?=[*&])/g,"$1")}function o(p,h,E,I,v){throw new Error(p+" type "+E.replace("X",h+"?")+(I?" with flag "+I:"")+" in "+v)}function a(p,h,E,I,v,b,C,T){b===void 0&&(b="X"),T===void 0&&(T=1);var L=E(p);if(L)return L;var U=I(p),J=U.placeholderFlag,te=e[J];C&&te&&(b=r(C[2],C[0],b,te[0],"?",!0));var le;J==0&&(le="Unbound"),J>=10&&(le="Corrupt"),T>20&&(le="Deeply nested"),le&&o(le,p,b,J,v||"?");var 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A=_nbind.readAsciiString(u),p=_nbind.readPolicyList(e),h=HEAPU32.subarray(t/4,t/4+2),E={flags:2048|(p.Value?2:0),id:h[0],name:A},I=_nbind.makeType(_nbind.constructType,E);I.ptrType=_nbind.getComplexType(h[1],_nbind.constructType,_nbind.getType,_nbind.queryType),I.destroy=_nbind.makeMethodCaller(I.ptrType,{boundID:E.id,flags:0,name:"destroy",num:0,ptr:n,title:I.name+".free",typeList:["void","uint32_t","uint32_t"]}),a&&(I.superIdList=Array.prototype.slice.call(HEAPU32.subarray(r/4,r/4+a)),I.upcastList=Array.prototype.slice.call(HEAPU32.subarray(o/4,o/4+a))),Module[I.name]=I.makeBound(p),_nbind.BindClass.list.push(I)}function _removeAccessorPrefix(t){var e=/^[Gg]et_?([A-Z]?([A-Z]?))/;return t.replace(e,function(r,o,a){return a?o:o.toLowerCase()})}function __nbind_register_function(t,e,r,o,a,n,u,A,p,h){var E=_nbind.getType(t),I=_nbind.readPolicyList(e),v=_nbind.readTypeIdList(r,o),b;if(u==5)b=[{direct:a,name:"__nbindConstructor",ptr:0,title:E.name+" constructor",typeList:["uint32_t"].concat(v.slice(1))},{direct:n,name:"__nbindValueConstructor",ptr:0,title:E.name+" value constructor",typeList:["void","uint32_t"].concat(v.slice(1))}];else{var C=_nbind.readAsciiString(A),T=(E.name&&E.name+".")+C;(u==3||u==4)&&(C=_removeAccessorPrefix(C)),b=[{boundID:t,direct:n,name:C,ptr:a,title:T,typeList:v}]}for(var L=0,U=b;L<U.length;L++){var J=U[L];J.signatureType=u,J.policyTbl=I,J.num=p,J.flags=h,E.addMethod(J)}}function _nbind_value(t,e){_nbind.typeNameTbl[t]||_nbind.throwError("Unknown value type "+t),Module.NBind.bind_value(t,e),_defineHidden(_nbind.typeNameTbl[t].proto.prototype.__nbindValueConstructor)(e.prototype,"__nbindValueConstructor")}Module._nbind_value=_nbind_value;function __nbind_get_value_object(t,e){var r=_nbind.popValue(t);if(!r.fromJS)throw new Error("Object "+r+" has no fromJS function");r.fromJS(function(){r.__nbindValueConstructor.apply(this,Array.prototype.concat.apply([e],arguments))})}function _emscripten_memcpy_big(t,e,r){return HEAPU8.set(HEAPU8.subarray(e,e+r),t),t}function __nbind_register_primitive(t,e,r){var o={flags:1024|r,id:t,ptrSize:e};_nbind.makeType(_nbind.constructType,o)}var cttz_i8=allocate([8,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,6,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,7,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,6,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0],"i8",ALLOC_STATIC);function ___setErrNo(t){return Module.___errno_location&&(HEAP32[Module.___errno_location()>>2]=t),t}function _llvm_stacksave(){var t=_llvm_stacksave;return t.LLVM_SAVEDSTACKS||(t.LLVM_SAVEDSTACKS=[]),t.LLVM_SAVEDSTACKS.push(Runtime.stackSave()),t.LLVM_SAVEDSTACKS.length-1}function ___syscall140(t,e){SYSCALLS.varargs=e;try{var r=SYSCALLS.getStreamFromFD(),o=SYSCALLS.get(),a=SYSCALLS.get(),n=SYSCALLS.get(),u=SYSCALLS.get(),A=a;return FS.llseek(r,A,u),HEAP32[n>>2]=r.position,r.getdents&&A===0&&u===0&&(r.getdents=null),0}catch(p){return(typeof FS>"u"||!(p instanceof FS.ErrnoError))&&abort(p),-p.errno}}function ___syscall146(t,e){SYSCALLS.varargs=e;try{var r=SYSCALLS.get(),o=SYSCALLS.get(),a=SYSCALLS.get(),n=0;___syscall146.buffer||(___syscall146.buffers=[null,[],[]],___syscall146.printChar=function(E,I){var v=___syscall146.buffers[E];assert(v),I===0||I===10?((E===1?Module.print:Module.printErr)(UTF8ArrayToString(v,0)),v.length=0):v.push(I)});for(var u=0;u<a;u++){for(var A=HEAP32[o+u*8>>2],p=HEAP32[o+(u*8+4)>>2],h=0;h<p;h++)___syscall146.printChar(r,HEAPU8[A+h]);n+=p}return n}catch(E){return(typeof FS>"u"||!(E instanceof FS.ErrnoError))&&abort(E),-E.errno}}function __nbind_finish(){for(var t=0,e=_nbind.BindClass.list;t<e.length;t++){var r=e[t];r.finish()}}var ___dso_handle=STATICTOP;STATICTOP+=16,function(_nbind){var typeIdTbl={};_nbind.typeNameTbl={};var Pool=function(){function t(){}return t.lalloc=function(e){e=e+7&-8;var r=HEAPU32[t.usedPtr];if(e>t.pageSize/2||e>t.pageSize-r){var o=_nbind.typeNameTbl.NBind.proto;return o.lalloc(e)}else return HEAPU32[t.usedPtr]=r+e,t.rootPtr+r},t.lreset=function(e,r){var o=HEAPU32[t.pagePtr];if(o){var a=_nbind.typeNameTbl.NBind.proto;a.lreset(e,r)}else HEAPU32[t.usedPtr]=e},t}();_nbind.Pool=Pool;function constructType(t,e){var r=t==10240?_nbind.makeTypeNameTbl[e.name]||_nbind.BindType:_nbind.makeTypeKindTbl[t],o=new r(e);return typeIdTbl[e.id]=o,_nbind.typeNameTbl[e.name]=o,o}_nbind.constructType=constructType;function getType(t){return typeIdTbl[t]}_nbind.getType=getType;function queryType(t){var e=HEAPU8[t],r=_nbind.structureList[e][1];t/=4,r<0&&(++t,r=HEAPU32[t]+1);var o=Array.prototype.slice.call(HEAPU32.subarray(t+1,t+1+r));return e==9&&(o=[o[0],o.slice(1)]),{paramList:o,placeholderFlag:e}}_nbind.queryType=queryType;function getTypes(t,e){return t.map(function(r){return typeof r=="number"?_nbind.getComplexType(r,constructType,getType,queryType,e):_nbind.typeNameTbl[r]})}_nbind.getTypes=getTypes;function readTypeIdList(t,e){return Array.prototype.slice.call(HEAPU32,t/4,t/4+e)}_nbind.readTypeIdList=readTypeIdList;function readAsciiString(t){for(var e=t;HEAPU8[e++];);return String.fromCharCode.apply("",HEAPU8.subarray(t,e-1))}_nbind.readAsciiString=readAsciiString;function readPolicyList(t){var e={};if(t)for(;;){var r=HEAPU32[t/4];if(!r)break;e[readAsciiString(r)]=!0,t+=4}return e}_nbind.readPolicyList=readPolicyList;function getDynCall(t,e){var r={float32_t:"d",float64_t:"d",int64_t:"d",uint64_t:"d",void:"v"},o=t.map(function(n){return r[n.name]||"i"}).join(""),a=Module["dynCall_"+o];if(!a)throw new Error("dynCall_"+o+" not found for "+e+"("+t.map(function(n){return n.name}).join(", ")+")");return a}_nbind.getDynCall=getDynCall;function addMethod(t,e,r,o){var a=t[e];t.hasOwnProperty(e)&&a?((a.arity||a.arity===0)&&(a=_nbind.makeOverloader(a,a.arity),t[e]=a),a.addMethod(r,o)):(r.arity=o,t[e]=r)}_nbind.addMethod=addMethod;function throwError(t){throw new Error(t)}_nbind.throwError=throwError,_nbind.bigEndian=!1,_a=_typeModule(_typeModule),_nbind.Type=_a.Type,_nbind.makeType=_a.makeType,_nbind.getComplexType=_a.getComplexType,_nbind.structureList=_a.structureList;var BindType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.heap=HEAPU32,r.ptrSize=4,r}return e.prototype.needsWireRead=function(r){return!!this.wireRead||!!this.makeWireRead},e.prototype.needsWireWrite=function(r){return!!this.wireWrite||!!this.makeWireWrite},e}(_nbind.Type);_nbind.BindType=BindType;var PrimitiveType=function(t){__extends(e,t);function e(r){var o=t.call(this,r)||this,a=r.flags&32?{32:HEAPF32,64:HEAPF64}:r.flags&8?{8:HEAPU8,16:HEAPU16,32:HEAPU32}:{8:HEAP8,16:HEAP16,32:HEAP32};return o.heap=a[r.ptrSize*8],o.ptrSize=r.ptrSize,o}return e.prototype.needsWireWrite=function(r){return!!r&&!!r.Strict},e.prototype.makeWireWrite=function(r,o){return o&&o.Strict&&function(a){if(typeof a=="number")return a;throw new Error("Type mismatch")}},e}(BindType);_nbind.PrimitiveType=PrimitiveType;function pushCString(t,e){if(t==null){if(e&&e.Nullable)return 0;throw new Error("Type mismatch")}if(e&&e.Strict){if(typeof t!="string")throw new Error("Type mismatch")}else t=t.toString();var r=Module.lengthBytesUTF8(t)+1,o=_nbind.Pool.lalloc(r);return Module.stringToUTF8Array(t,HEAPU8,o,r),o}_nbind.pushCString=pushCString;function popCString(t){return t===0?null:Module.Pointer_stringify(t)}_nbind.popCString=popCString;var CStringType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireRead=popCString,r.wireWrite=pushCString,r.readResources=[_nbind.resources.pool],r.writeResources=[_nbind.resources.pool],r}return e.prototype.makeWireWrite=function(r,o){return function(a){return pushCString(a,o)}},e}(BindType);_nbind.CStringType=CStringType;var BooleanType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireRead=function(o){return!!o},r}return e.prototype.needsWireWrite=function(r){return!!r&&!!r.Strict},e.prototype.makeWireRead=function(r){return"!!("+r+")"},e.prototype.makeWireWrite=function(r,o){return o&&o.Strict&&function(a){if(typeof a=="boolean")return a;throw new Error("Type mismatch")}||r},e}(BindType);_nbind.BooleanType=BooleanType;var Wrapper=function(){function t(){}return t.prototype.persist=function(){this.__nbindState|=1},t}();_nbind.Wrapper=Wrapper;function makeBound(t,e){var r=function(o){__extends(a,o);function a(n,u,A,p){var h=o.call(this)||this;if(!(h instanceof a))return new(Function.prototype.bind.apply(a,Array.prototype.concat.apply([null],arguments)));var E=u,I=A,v=p;if(n!==_nbind.ptrMarker){var b=h.__nbindConstructor.apply(h,arguments);E=4608,v=HEAPU32[b/4],I=HEAPU32[b/4+1]}var C={configurable:!0,enumerable:!1,value:null,writable:!1},T={__nbindFlags:E,__nbindPtr:I};v&&(T.__nbindShared=v,_nbind.mark(h));for(var L=0,U=Object.keys(T);L<U.length;L++){var J=U[L];C.value=T[J],Object.defineProperty(h,J,C)}return _defineHidden(0)(h,"__nbindState"),h}return a.prototype.free=function(){e.destroy.call(this,this.__nbindShared,this.__nbindFlags),this.__nbindState|=2,disableMember(this,"__nbindShared"),disableMember(this,"__nbindPtr")},a}(Wrapper);return __decorate([_defineHidden()],r.prototype,"__nbindConstructor",void 0),__decorate([_defineHidden()],r.prototype,"__nbindValueConstructor",void 0),__decorate([_defineHidden(t)],r.prototype,"__nbindPolicies",void 0),r}_nbind.makeBound=makeBound;function disableMember(t,e){function r(){throw new Error("Accessing deleted object")}Object.defineProperty(t,e,{configurable:!1,enumerable:!1,get:r,set:r})}_nbind.ptrMarker={};var BindClass=function(t){__extends(e,t);function e(r){var o=t.call(this,r)||this;return o.wireRead=function(a){return _nbind.popValue(a,o.ptrType)},o.wireWrite=function(a){return pushPointer(a,o.ptrType,!0)},o.pendingSuperCount=0,o.ready=!1,o.methodTbl={},r.paramList?(o.classType=r.paramList[0].classType,o.proto=o.classType.proto):o.classType=o,o}return e.prototype.makeBound=function(r){var o=_nbind.makeBound(r,this);return this.proto=o,this.ptrType.proto=o,o},e.prototype.addMethod=function(r){var o=this.methodTbl[r.name]||[];o.push(r),this.methodTbl[r.name]=o},e.prototype.registerMethods=function(r,o){for(var a,n=0,u=Object.keys(r.methodTbl);n<u.length;n++)for(var A=u[n],p=r.methodTbl[A],h=0,E=p;h<E.length;h++){var I=E[h],v=void 0,b=void 0;if(v=this.proto.prototype,!(o&&I.signatureType!=1))switch(I.signatureType){case 1:v=this.proto;case 5:b=_nbind.makeCaller(I),_nbind.addMethod(v,I.name,b,I.typeList.length-1);break;case 4:a=_nbind.makeMethodCaller(r.ptrType,I);break;case 3:Object.defineProperty(v,I.name,{configurable:!0,enumerable:!1,get:_nbind.makeMethodCaller(r.ptrType,I),set:a});break;case 2:b=_nbind.makeMethodCaller(r.ptrType,I),_nbind.addMethod(v,I.name,b,I.typeList.length-1);break;default:break}}},e.prototype.registerSuperMethods=function(r,o,a){if(!a[r.name]){a[r.name]=!0;for(var n=0,u,A=0,p=r.superIdList||[];A<p.length;A++){var h=p[A],E=_nbind.getType(h);n++<o||o<0?u=-1:u=0,this.registerSuperMethods(E,u,a)}this.registerMethods(r,o<0)}},e.prototype.finish=function(){if(this.ready)return this;this.ready=!0,this.superList=(this.superIdList||[]).map(function(a){return _nbind.getType(a).finish()});var r=this.proto;if(this.superList.length){var o=function(){this.constructor=r};o.prototype=this.superList[0].proto.prototype,r.prototype=new o}return r!=Module&&(r.prototype.__nbindType=this),this.registerSuperMethods(this,1,{}),this},e.prototype.upcastStep=function(r,o){if(r==this)return o;for(var a=0;a<this.superList.length;++a){var n=this.superList[a].upcastStep(r,_nbind.callUpcast(this.upcastList[a],o));if(n)return n}return 0},e}(_nbind.BindType);BindClass.list=[],_nbind.BindClass=BindClass;function popPointer(t,e){return t?new e.proto(_nbind.ptrMarker,e.flags,t):null}_nbind.popPointer=popPointer;function pushPointer(t,e,r){if(!(t instanceof _nbind.Wrapper)){if(r)return _nbind.pushValue(t);throw new Error("Type mismatch")}var o=t.__nbindPtr,a=t.__nbindType.classType,n=e.classType;if(t instanceof e.proto)for(;a!=n;)o=_nbind.callUpcast(a.upcastList[0],o),a=a.superList[0];else if(o=a.upcastStep(n,o),!o)throw new Error("Type mismatch");return o}_nbind.pushPointer=pushPointer;function pushMutablePointer(t,e){var r=pushPointer(t,e);if(t.__nbindFlags&1)throw new Error("Passing a const value as a non-const argument");return r}var BindClassPtr=function(t){__extends(e,t);function e(r){var o=t.call(this,r)||this;o.classType=r.paramList[0].classType,o.proto=o.classType.proto;var a=r.flags&1,n=(o.flags&896)==256&&r.flags&2,u=a?pushPointer:pushMutablePointer,A=n?_nbind.popValue:popPointer;return o.makeWireWrite=function(p,h){return h.Nullable?function(E){return E?u(E,o):0}:function(E){return u(E,o)}},o.wireRead=function(p){return A(p,o)},o.wireWrite=function(p){return u(p,o)},o}return e}(_nbind.BindType);_nbind.BindClassPtr=BindClassPtr;function popShared(t,e){var r=HEAPU32[t/4],o=HEAPU32[t/4+1];return o?new e.proto(_nbind.ptrMarker,e.flags,o,r):null}_nbind.popShared=popShared;function pushShared(t,e){if(!(t instanceof e.proto))throw new Error("Type mismatch");return t.__nbindShared}function pushMutableShared(t,e){if(!(t instanceof e.proto))throw new Error("Type mismatch");if(t.__nbindFlags&1)throw new Error("Passing a const value as a non-const argument");return t.__nbindShared}var SharedClassPtr=function(t){__extends(e,t);function e(r){var o=t.call(this,r)||this;o.readResources=[_nbind.resources.pool],o.classType=r.paramList[0].classType,o.proto=o.classType.proto;var a=r.flags&1,n=a?pushShared:pushMutableShared;return o.wireRead=function(u){return popShared(u,o)},o.wireWrite=function(u){return n(u,o)},o}return e}(_nbind.BindType);_nbind.SharedClassPtr=SharedClassPtr,_nbind.externalList=[0];var firstFreeExternal=0,External=function(){function t(e){this.refCount=1,this.data=e}return t.prototype.register=function(){var e=firstFreeExternal;return e?firstFreeExternal=_nbind.externalList[e]:e=_nbind.externalList.length,_nbind.externalList[e]=this,e},t.prototype.reference=function(){++this.refCount},t.prototype.dereference=function(e){--this.refCount==0&&(this.free&&this.free(),_nbind.externalList[e]=firstFreeExternal,firstFreeExternal=e)},t}();_nbind.External=External;function popExternal(t){var e=_nbind.externalList[t];return e.dereference(t),e.data}function pushExternal(t){var e=new External(t);return e.reference(),e.register()}var ExternalType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireRead=popExternal,r.wireWrite=pushExternal,r}return e}(_nbind.BindType);_nbind.ExternalType=ExternalType,_nbind.callbackSignatureList=[];var CallbackType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireWrite=function(o){return typeof o!="function"&&_nbind.throwError("Type mismatch"),new _nbind.External(o).register()},r}return e}(_nbind.BindType);_nbind.CallbackType=CallbackType,_nbind.valueList=[0];var firstFreeValue=0;function pushValue(t){var e=firstFreeValue;return e?firstFreeValue=_nbind.valueList[e]:e=_nbind.valueList.length,_nbind.valueList[e]=t,e*2+1}_nbind.pushValue=pushValue;function popValue(t,e){if(t||_nbind.throwError("Value type JavaScript class is missing or not registered"),t&1){t>>=1;var r=_nbind.valueList[t];return _nbind.valueList[t]=firstFreeValue,firstFreeValue=t,r}else{if(e)return _nbind.popShared(t,e);throw new Error("Invalid value slot "+t)}}_nbind.popValue=popValue;var valueBase=18446744073709552e3;function push64(t){return typeof t=="number"?t:pushValue(t)*4096+valueBase}function pop64(t){return t<valueBase?t:popValue((t-valueBase)/4096)}var CreateValueType=function(t){__extends(e,t);function e(){return t!==null&&t.apply(this,arguments)||this}return e.prototype.makeWireWrite=function(r){return"(_nbind.pushValue(new "+r+"))"},e}(_nbind.BindType);_nbind.CreateValueType=CreateValueType;var Int64Type=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireWrite=push64,r.wireRead=pop64,r}return e}(_nbind.BindType);_nbind.Int64Type=Int64Type;function pushArray(t,e){if(!t)return 0;var r=t.length;if((e.size||e.size===0)&&r<e.size)throw new Error("Type mismatch");var o=e.memberType.ptrSize,a=_nbind.Pool.lalloc(4+r*o);HEAPU32[a/4]=r;var n=e.memberType.heap,u=(a+4)/o,A=e.memberType.wireWrite,p=0;if(A)for(;p<r;)n[u++]=A(t[p++]);else for(;p<r;)n[u++]=t[p++];return a}_nbind.pushArray=pushArray;function popArray(t,e){if(t===0)return null;var r=HEAPU32[t/4],o=new Array(r),a=e.memberType.heap;t=(t+4)/e.memberType.ptrSize;var n=e.memberType.wireRead,u=0;if(n)for(;u<r;)o[u++]=n(a[t++]);else for(;u<r;)o[u++]=a[t++];return o}_nbind.popArray=popArray;var ArrayType=function(t){__extends(e,t);function e(r){var o=t.call(this,r)||this;return o.wireRead=function(a){return popArray(a,o)},o.wireWrite=function(a){return pushArray(a,o)},o.readResources=[_nbind.resources.pool],o.writeResources=[_nbind.resources.pool],o.memberType=r.paramList[0],r.paramList[1]&&(o.size=r.paramList[1]),o}return e}(_nbind.BindType);_nbind.ArrayType=ArrayType;function pushString(t,e){if(t==null)if(e&&e.Nullable)t="";else throw new Error("Type mismatch");if(e&&e.Strict){if(typeof t!="string")throw new Error("Type mismatch")}else t=t.toString();var r=Module.lengthBytesUTF8(t),o=_nbind.Pool.lalloc(4+r+1);return HEAPU32[o/4]=r,Module.stringToUTF8Array(t,HEAPU8,o+4,r+1),o}_nbind.pushString=pushString;function popString(t){if(t===0)return null;var e=HEAPU32[t/4];return Module.Pointer_stringify(t+4,e)}_nbind.popString=popString;var StringType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireRead=popString,r.wireWrite=pushString,r.readResources=[_nbind.resources.pool],r.writeResources=[_nbind.resources.pool],r}return e.prototype.makeWireWrite=function(r,o){return function(a){return pushString(a,o)}},e}(_nbind.BindType);_nbind.StringType=StringType;function makeArgList(t){return Array.apply(null,Array(t)).map(function(e,r){return"a"+(r+1)})}function anyNeedsWireWrite(t,e){return t.reduce(function(r,o){return r||o.needsWireWrite(e)},!1)}function anyNeedsWireRead(t,e){return t.reduce(function(r,o){return r||!!o.needsWireRead(e)},!1)}function makeWireRead(t,e,r,o){var a=t.length;return r.makeWireRead?r.makeWireRead(o,t,a):r.wireRead?(t[a]=r.wireRead,"(convertParamList["+a+"]("+o+"))"):o}function makeWireWrite(t,e,r,o){var a,n=t.length;return r.makeWireWrite?a=r.makeWireWrite(o,e,t,n):a=r.wireWrite,a?typeof a=="string"?a:(t[n]=a,"(convertParamList["+n+"]("+o+"))"):o}function buildCallerFunction(dynCall,ptrType,ptr,num,policyTbl,needsWireWrite,prefix,returnType,argTypeList,mask,err){var argList=makeArgList(argTypeList.length),convertParamList=[],callExpression=makeWireRead(convertParamList,policyTbl,returnType,"dynCall("+[prefix].concat(argList.map(function(t,e){return makeWireWrite(convertParamList,policyTbl,argTypeList[e],t)})).join(",")+")"),resourceSet=_nbind.listResources([returnType],argTypeList),sourceCode="function("+argList.join(",")+"){"+(mask?"this.__nbindFlags&mask&&err();":"")+resourceSet.makeOpen()+"var r="+callExpression+";"+resourceSet.makeClose()+"return r;}";return eval("("+sourceCode+")")}function buildJSCallerFunction(returnType,argTypeList){var argList=makeArgList(argTypeList.length),convertParamList=[],callExpression=makeWireWrite(convertParamList,null,returnType,"_nbind.externalList[num].data("+argList.map(function(t,e){return makeWireRead(convertParamList,null,argTypeList[e],t)}).join(",")+")"),resourceSet=_nbind.listResources(argTypeList,[returnType]);resourceSet.remove(_nbind.resources.pool);var sourceCode="function("+["dummy","num"].concat(argList).join(",")+"){"+resourceSet.makeOpen()+"var r="+callExpression+";"+resourceSet.makeClose()+"return r;}";return eval("("+sourceCode+")")}_nbind.buildJSCallerFunction=buildJSCallerFunction;function makeJSCaller(t){var e=t.length-1,r=_nbind.getTypes(t,"callback"),o=r[0],a=r.slice(1),n=anyNeedsWireRead(a,null),u=o.needsWireWrite(null);if(!u&&!n)switch(e){case 0:return function(A,p){return _nbind.externalList[p].data()};case 1:return function(A,p,h){return _nbind.externalList[p].data(h)};case 2:return function(A,p,h,E){return _nbind.externalList[p].data(h,E)};case 3:return function(A,p,h,E,I){return _nbind.externalList[p].data(h,E,I)};default:break}return buildJSCallerFunction(o,a)}_nbind.makeJSCaller=makeJSCaller;function makeMethodCaller(t,e){var r=e.typeList.length-1,o=e.typeList.slice(0);o.splice(1,0,"uint32_t",e.boundID);var a=_nbind.getTypes(o,e.title),n=a[0],u=a.slice(3),A=n.needsWireRead(e.policyTbl),p=anyNeedsWireWrite(u,e.policyTbl),h=e.ptr,E=e.num,I=_nbind.getDynCall(a,e.title),v=~e.flags&1;function b(){throw new Error("Calling a non-const method on a const object")}if(!A&&!p)switch(r){case 0:return function(){return this.__nbindFlags&v?b():I(h,E,_nbind.pushPointer(this,t))};case 1:return function(C){return this.__nbindFlags&v?b():I(h,E,_nbind.pushPointer(this,t),C)};case 2:return function(C,T){return this.__nbindFlags&v?b():I(h,E,_nbind.pushPointer(this,t),C,T)};case 3:return function(C,T,L){return this.__nbindFlags&v?b():I(h,E,_nbind.pushPointer(this,t),C,T,L)};default:break}return buildCallerFunction(I,t,h,E,e.policyTbl,p,"ptr,num,pushPointer(this,ptrType)",n,u,v,b)}_nbind.makeMethodCaller=makeMethodCaller;function makeCaller(t){var e=t.typeList.length-1,r=_nbind.getTypes(t.typeList,t.title),o=r[0],a=r.slice(1),n=o.needsWireRead(t.policyTbl),u=anyNeedsWireWrite(a,t.policyTbl),A=t.direct,p=t.ptr;if(t.direct&&!n&&!u){var h=_nbind.getDynCall(r,t.title);switch(e){case 0:return function(){return h(A)};case 1:return function(b){return h(A,b)};case 2:return function(b,C){return h(A,b,C)};case 3:return function(b,C,T){return h(A,b,C,T)};default:break}p=0}var E;if(p){var I=t.typeList.slice(0);I.splice(1,0,"uint32_t"),r=_nbind.getTypes(I,t.title),E="ptr,num"}else p=A,E="ptr";var v=_nbind.getDynCall(r,t.title);return buildCallerFunction(v,null,p,t.num,t.policyTbl,u,E,o,a)}_nbind.makeCaller=makeCaller;function makeOverloader(t,e){var r=[];function o(){return r[arguments.length].apply(this,arguments)}return o.addMethod=function(a,n){r[n]=a},o.addMethod(t,e),o}_nbind.makeOverloader=makeOverloader;var Resource=function(){function t(e,r){var o=this;this.makeOpen=function(){return Object.keys(o.openTbl).join("")},this.makeClose=function(){return Object.keys(o.closeTbl).join("")},this.openTbl={},this.closeTbl={},e&&(this.openTbl[e]=!0),r&&(this.closeTbl[r]=!0)}return t.prototype.add=function(e){for(var r=0,o=Object.keys(e.openTbl);r<o.length;r++){var a=o[r];this.openTbl[a]=!0}for(var n=0,u=Object.keys(e.closeTbl);n<u.length;n++){var a=u[n];this.closeTbl[a]=!0}},t.prototype.remove=function(e){for(var r=0,o=Object.keys(e.openTbl);r<o.length;r++){var a=o[r];delete this.openTbl[a]}for(var n=0,u=Object.keys(e.closeTbl);n<u.length;n++){var a=u[n];delete this.closeTbl[a]}},t}();_nbind.Resource=Resource;function listResources(t,e){for(var r=new Resource,o=0,a=t;o<a.length;o++)for(var n=a[o],u=0,A=n.readResources||[];u<A.length;u++){var p=A[u];r.add(p)}for(var h=0,E=e;h<E.length;h++)for(var n=E[h],I=0,v=n.writeResources||[];I<v.length;I++){var p=v[I];r.add(p)}return r}_nbind.listResources=listResources,_nbind.resources={pool:new Resource("var used=HEAPU32[_nbind.Pool.usedPtr],page=HEAPU32[_nbind.Pool.pagePtr];","_nbind.Pool.lreset(used,page);")};var ExternalBuffer=function(t){__extends(e,t);function e(r,o){var a=t.call(this,r)||this;return a.ptr=o,a}return e.prototype.free=function(){_free(this.ptr)},e}(_nbind.External);function getBuffer(t){return t instanceof ArrayBuffer?new Uint8Array(t):t instanceof DataView?new Uint8Array(t.buffer,t.byteOffset,t.byteLength):t}function pushBuffer(t,e){if(t==null&&e&&e.Nullable&&(t=[]),typeof t!="object")throw new Error("Type mismatch");var r=t,o=r.byteLength||r.length;if(!o&&o!==0&&r.byteLength!==0)throw new Error("Type mismatch");var a=_nbind.Pool.lalloc(8),n=_malloc(o),u=a/4;return HEAPU32[u++]=o,HEAPU32[u++]=n,HEAPU32[u++]=new ExternalBuffer(t,n).register(),HEAPU8.set(getBuffer(t),n),a}var BufferType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireWrite=pushBuffer,r.readResources=[_nbind.resources.pool],r.writeResources=[_nbind.resources.pool],r}return e.prototype.makeWireWrite=function(r,o){return function(a){return pushBuffer(a,o)}},e}(_nbind.BindType);_nbind.BufferType=BufferType;function commitBuffer(t,e,r){var o=_nbind.externalList[t].data,a=Buffer;if(typeof Buffer!="function"&&(a=function(){}),!(o instanceof Array)){var n=HEAPU8.subarray(e,e+r);if(o instanceof a){var u=void 0;typeof Buffer.from=="function"&&Buffer.from.length>=3?u=Buffer.from(n):u=new Buffer(n),u.copy(o)}else getBuffer(o).set(n)}}_nbind.commitBuffer=commitBuffer;var dirtyList=[],gcTimer=0;function sweep(){for(var t=0,e=dirtyList;t<e.length;t++){var r=e[t];r.__nbindState&3||r.free()}dirtyList=[],gcTimer=0}_nbind.mark=function(t){};function toggleLightGC(t){t?_nbind.mark=function(e){dirtyList.push(e),gcTimer||(gcTimer=setTimeout(sweep,0))}:_nbind.mark=function(e){}}_nbind.toggleLightGC=toggleLightGC}(_nbind),Module.requestFullScreen=function t(e,r,o){Module.printErr("Module.requestFullScreen is deprecated. Please call Module.requestFullscreen instead."),Module.requestFullScreen=Module.requestFullscreen,Browser.requestFullScreen(e,r,o)},Module.requestFullscreen=function t(e,r,o){Browser.requestFullscreen(e,r,o)},Module.requestAnimationFrame=function t(e){Browser.requestAnimationFrame(e)},Module.setCanvasSize=function t(e,r,o){Browser.setCanvasSize(e,r,o)},Module.pauseMainLoop=function t(){Browser.mainLoop.pause()},Module.resumeMainLoop=function t(){Browser.mainLoop.resume()},Module.getUserMedia=function t(){Browser.getUserMedia()},Module.createContext=function t(e,r,o,a){return Browser.createContext(e,r,o,a)},ENVIRONMENT_IS_NODE?_emscripten_get_now=function(){var e=process.hrtime();return e[0]*1e3+e[1]/1e6}:typeof dateNow<"u"?_emscripten_get_now=dateNow:typeof self=="object"&&self.performance&&typeof self.performance.now=="function"?_emscripten_get_now=function(){return self.performance.now()}:typeof performance=="object"&&typeof performance.now=="function"?_emscripten_get_now=function(){return performance.now()}:_emscripten_get_now=Date.now,__ATEXIT__.push(function(){var t=Module._fflush;t&&t(0);var e=___syscall146.printChar;if(!!e){var r=___syscall146.buffers;r[1].length&&e(1,10),r[2].length&&e(2,10)}}),DYNAMICTOP_PTR=allocate(1,"i32",ALLOC_STATIC),STACK_BASE=STACKTOP=Runtime.alignMemory(STATICTOP),STACK_MAX=STACK_BASE+TOTAL_STACK,DYNAMIC_BASE=Runtime.alignMemory(STACK_MAX),HEAP32[DYNAMICTOP_PTR>>2]=DYNAMIC_BASE,staticSealed=!0;function invoke_viiiii(t,e,r,o,a,n){try{Module.dynCall_viiiii(t,e,r,o,a,n)}catch(u){if(typeof u!="number"&&u!=="longjmp")throw u;Module.setThrew(1,0)}}function invoke_vif(t,e,r){try{Module.dynCall_vif(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_vid(t,e,r){try{Module.dynCall_vid(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_fiff(t,e,r,o){try{return Module.dynCall_fiff(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_vi(t,e){try{Module.dynCall_vi(t,e)}catch(r){if(typeof r!="number"&&r!=="longjmp")throw r;Module.setThrew(1,0)}}function invoke_vii(t,e,r){try{Module.dynCall_vii(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_ii(t,e){try{return Module.dynCall_ii(t,e)}catch(r){if(typeof r!="number"&&r!=="longjmp")throw r;Module.setThrew(1,0)}}function invoke_viddi(t,e,r,o,a){try{Module.dynCall_viddi(t,e,r,o,a)}catch(n){if(typeof n!="number"&&n!=="longjmp")throw n;Module.setThrew(1,0)}}function invoke_vidd(t,e,r,o){try{Module.dynCall_vidd(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_iiii(t,e,r,o){try{return Module.dynCall_iiii(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_diii(t,e,r,o){try{return Module.dynCall_diii(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_di(t,e){try{return Module.dynCall_di(t,e)}catch(r){if(typeof r!="number"&&r!=="longjmp")throw r;Module.setThrew(1,0)}}function invoke_iid(t,e,r){try{return Module.dynCall_iid(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_iii(t,e,r){try{return Module.dynCall_iii(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_viiddi(t,e,r,o,a,n){try{Module.dynCall_viiddi(t,e,r,o,a,n)}catch(u){if(typeof u!="number"&&u!=="longjmp")throw u;Module.setThrew(1,0)}}function invoke_viiiiii(t,e,r,o,a,n,u){try{Module.dynCall_viiiiii(t,e,r,o,a,n,u)}catch(A){if(typeof A!="number"&&A!=="longjmp")throw A;Module.setThrew(1,0)}}function invoke_dii(t,e,r){try{return Module.dynCall_dii(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_i(t){try{return Module.dynCall_i(t)}catch(e){if(typeof e!="number"&&e!=="longjmp")throw e;Module.setThrew(1,0)}}function invoke_iiiiii(t,e,r,o,a,n){try{return Module.dynCall_iiiiii(t,e,r,o,a,n)}catch(u){if(typeof u!="number"&&u!=="longjmp")throw u;Module.setThrew(1,0)}}function invoke_viiid(t,e,r,o,a){try{Module.dynCall_viiid(t,e,r,o,a)}catch(n){if(typeof n!="number"&&n!=="longjmp")throw n;Module.setThrew(1,0)}}function invoke_viififi(t,e,r,o,a,n,u){try{Module.dynCall_viififi(t,e,r,o,a,n,u)}catch(A){if(typeof A!="number"&&A!=="longjmp")throw A;Module.setThrew(1,0)}}function invoke_viii(t,e,r,o){try{Module.dynCall_viii(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_v(t){try{Module.dynCall_v(t)}catch(e){if(typeof e!="number"&&e!=="longjmp")throw e;Module.setThrew(1,0)}}function invoke_viid(t,e,r,o){try{Module.dynCall_viid(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_idd(t,e,r){try{return Module.dynCall_idd(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_viiii(t,e,r,o,a){try{Module.dynCall_viiii(t,e,r,o,a)}catch(n){if(typeof n!="number"&&n!=="longjmp")throw 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Ze=y(0);function lo(s){s=s|0;var l=0;return l=C,C=C+s|0,C=C+15&-16,l|0}function gc(){return C|0}function pu(s){s=s|0,C=s}function ji(s,l){s=s|0,l=l|0,C=s,T=l}function hu(s,l){s=s|0,l=l|0,J||(J=s,te=l)}function xA(s){s=s|0,De=s}function Ua(){return De|0}function dc(){var s=0,l=0;Dr(8104,8,400)|0,Dr(8504,408,540)|0,s=9044,l=s+44|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));o[9088]=0,o[9089]=1,n[2273]=0,n[2274]=948,n[2275]=948,tr(17,8104,U|0)|0}function hs(s){s=s|0,ft(s+948|0)}function _t(s){return s=y(s),((Du(s)|0)&2147483647)>>>0>2139095040|0}function Fn(s,l,c){s=s|0,l=l|0,c=c|0;e:do if(n[s+(l<<3)+4>>2]|0)s=s+(l<<3)|0;else{if((l|2|0)==3&&n[s+60>>2]|0){s=s+56|0;break}switch(l|0){case 0:case 2:case 4:case 5:{if(n[s+52>>2]|0){s=s+48|0;break e}break}default:}if(n[s+68>>2]|0){s=s+64|0;break}else{s=(l|1|0)==5?948:c;break}}while(0);return s|0}function Ci(s){s=s|0;var l=0;return l=pD(1e3)|0,oa(s,(l|0)!=0,2456),n[2276]=(n[2276]|0)+1,Dr(l|0,8104,1e3)|0,o[s+2>>0]|0&&(n[l+4>>2]=2,n[l+12>>2]=4),n[l+976>>2]=s,l|0}function oa(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;d=C,C=C+16|0,f=d,l||(n[f>>2]=c,yg(s,5,3197,f)),C=d}function co(){return Ci(956)|0}function Us(s){s=s|0;var l=0;return l=Vt(1e3)|0,aa(l,s),oa(n[s+976>>2]|0,1,2456),n[2276]=(n[2276]|0)+1,n[l+944>>2]=0,l|0}function aa(s,l){s=s|0,l=l|0;var c=0;Dr(s|0,l|0,948)|0,Fm(s+948|0,l+948|0),c=s+960|0,s=l+960|0,l=c+40|0;do n[c>>2]=n[s>>2],c=c+4|0,s=s+4|0;while((c|0)<(l|0))}function la(s){s=s|0;var l=0,c=0,f=0,d=0;if(l=s+944|0,c=n[l>>2]|0,c|0&&(Ho(c+948|0,s)|0,n[l>>2]=0),c=wi(s)|0,c|0){l=0;do n[(gs(s,l)|0)+944>>2]=0,l=l+1|0;while((l|0)!=(c|0))}c=s+948|0,f=n[c>>2]|0,d=s+952|0,l=n[d>>2]|0,(l|0)!=(f|0)&&(n[d>>2]=l+(~((l+-4-f|0)>>>2)<<2)),ds(c),hD(s),n[2276]=(n[2276]|0)+-1}function Ho(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0;f=n[s>>2]|0,k=s+4|0,c=n[k>>2]|0,m=c;e:do if((f|0)==(c|0))d=f,B=4;else for(s=f;;){if((n[s>>2]|0)==(l|0)){d=s,B=4;break e}if(s=s+4|0,(s|0)==(c|0)){s=0;break}}while(0);return(B|0)==4&&((d|0)!=(c|0)?(f=d+4|0,s=m-f|0,l=s>>2,l&&(Mw(d|0,f|0,s|0)|0,c=n[k>>2]|0),s=d+(l<<2)|0,(c|0)==(s|0)||(n[k>>2]=c+(~((c+-4-s|0)>>>2)<<2)),s=1):s=0),s|0}function wi(s){return s=s|0,(n[s+952>>2]|0)-(n[s+948>>2]|0)>>2|0}function gs(s,l){s=s|0,l=l|0;var c=0;return c=n[s+948>>2]|0,(n[s+952>>2]|0)-c>>2>>>0>l>>>0?s=n[c+(l<<2)>>2]|0:s=0,s|0}function ds(s){s=s|0;var l=0,c=0,f=0,d=0;f=C,C=C+32|0,l=f,d=n[s>>2]|0,c=(n[s+4>>2]|0)-d|0,((n[s+8>>2]|0)-d|0)>>>0>c>>>0&&(d=c>>2,wp(l,d,d,s+8|0),Ig(s,l),UA(l)),C=f}function ms(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0;O=wi(s)|0;do if(O|0){if((n[(gs(s,0)|0)+944>>2]|0)==(s|0)){if(!(Ho(s+948|0,l)|0))break;Dr(l+400|0,8504,540)|0,n[l+944>>2]=0,Le(s);break}B=n[(n[s+976>>2]|0)+12>>2]|0,k=s+948|0,Q=(B|0)==0,c=0,m=0;do f=n[(n[k>>2]|0)+(m<<2)>>2]|0,(f|0)==(l|0)?Le(s):(d=Us(f)|0,n[(n[k>>2]|0)+(c<<2)>>2]=d,n[d+944>>2]=s,Q||LT[B&15](f,d,s,c),c=c+1|0),m=m+1|0;while((m|0)!=(O|0));if(c>>>0<O>>>0){Q=s+948|0,k=s+952|0,B=c,c=n[k>>2]|0;do m=(n[Q>>2]|0)+(B<<2)|0,f=m+4|0,d=c-f|0,l=d>>2,l&&(Mw(m|0,f|0,d|0)|0,c=n[k>>2]|0),d=c,f=m+(l<<2)|0,(d|0)!=(f|0)&&(c=d+(~((d+-4-f|0)>>>2)<<2)|0,n[k>>2]=c),B=B+1|0;while((B|0)!=(O|0))}}while(0)}function _s(s){s=s|0;var l=0,c=0,f=0,d=0;Un(s,(wi(s)|0)==0,2491),Un(s,(n[s+944>>2]|0)==0,2545),l=s+948|0,c=n[l>>2]|0,f=s+952|0,d=n[f>>2]|0,(d|0)!=(c|0)&&(n[f>>2]=d+(~((d+-4-c|0)>>>2)<<2)),ds(l),l=s+976|0,c=n[l>>2]|0,Dr(s|0,8104,1e3)|0,o[c+2>>0]|0&&(n[s+4>>2]=2,n[s+12>>2]=4),n[l>>2]=c}function Un(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;d=C,C=C+16|0,f=d,l||(n[f>>2]=c,Ao(s,5,3197,f)),C=d}function Pn(){return n[2276]|0}function ys(){var s=0;return s=pD(20)|0,We((s|0)!=0,2592),n[2277]=(n[2277]|0)+1,n[s>>2]=n[239],n[s+4>>2]=n[240],n[s+8>>2]=n[241],n[s+12>>2]=n[242],n[s+16>>2]=n[243],s|0}function We(s,l){s=s|0,l=l|0;var c=0,f=0;f=C,C=C+16|0,c=f,s||(n[c>>2]=l,Ao(0,5,3197,c)),C=f}function tt(s){s=s|0,hD(s),n[2277]=(n[2277]|0)+-1}function It(s,l){s=s|0,l=l|0;var c=0;l?(Un(s,(wi(s)|0)==0,2629),c=1):(c=0,l=0),n[s+964>>2]=l,n[s+988>>2]=c}function nr(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,m=f+8|0,d=f+4|0,B=f,n[d>>2]=l,Un(s,(n[l+944>>2]|0)==0,2709),Un(s,(n[s+964>>2]|0)==0,2763),$(s),l=s+948|0,n[B>>2]=(n[l>>2]|0)+(c<<2),n[m>>2]=n[B>>2],me(l,m,d)|0,n[(n[d>>2]|0)+944>>2]=s,Le(s),C=f}function $(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0;if(c=wi(s)|0,c|0&&(n[(gs(s,0)|0)+944>>2]|0)!=(s|0)){f=n[(n[s+976>>2]|0)+12>>2]|0,d=s+948|0,m=(f|0)==0,l=0;do B=n[(n[d>>2]|0)+(l<<2)>>2]|0,k=Us(B)|0,n[(n[d>>2]|0)+(l<<2)>>2]=k,n[k+944>>2]=s,m||LT[f&15](B,k,s,l),l=l+1|0;while((l|0)!=(c|0))}}function me(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0;et=C,C=C+64|0,q=et+52|0,k=et+48|0,se=et+28|0,Ge=et+24|0,Oe=et+20|0,Fe=et,f=n[s>>2]|0,m=f,l=f+((n[l>>2]|0)-m>>2<<2)|0,f=s+4|0,d=n[f>>2]|0,B=s+8|0;do if(d>>>0<(n[B>>2]|0)>>>0){if((l|0)==(d|0)){n[l>>2]=n[c>>2],n[f>>2]=(n[f>>2]|0)+4;break}_A(s,l,d,l+4|0),l>>>0<=c>>>0&&(c=(n[f>>2]|0)>>>0>c>>>0?c+4|0:c),n[l>>2]=n[c>>2]}else{f=(d-m>>2)+1|0,d=N(s)|0,d>>>0<f>>>0&&zr(s),M=n[s>>2]|0,O=(n[B>>2]|0)-M|0,m=O>>1,wp(Fe,O>>2>>>0<d>>>1>>>0?m>>>0<f>>>0?f:m:d,l-M>>2,s+8|0),M=Fe+8|0,f=n[M>>2]|0,m=Fe+12|0,O=n[m>>2]|0,B=O,Q=f;do if((f|0)==(O|0)){if(O=Fe+4|0,f=n[O>>2]|0,Xe=n[Fe>>2]|0,d=Xe,f>>>0<=Xe>>>0){f=B-d>>1,f=(f|0)==0?1:f,wp(se,f,f>>>2,n[Fe+16>>2]|0),n[Ge>>2]=n[O>>2],n[Oe>>2]=n[M>>2],n[k>>2]=n[Ge>>2],n[q>>2]=n[Oe>>2],vw(se,k,q),f=n[Fe>>2]|0,n[Fe>>2]=n[se>>2],n[se>>2]=f,f=se+4|0,Xe=n[O>>2]|0,n[O>>2]=n[f>>2],n[f>>2]=Xe,f=se+8|0,Xe=n[M>>2]|0,n[M>>2]=n[f>>2],n[f>>2]=Xe,f=se+12|0,Xe=n[m>>2]|0,n[m>>2]=n[f>>2],n[f>>2]=Xe,UA(se),f=n[M>>2]|0;break}m=f,B=((m-d>>2)+1|0)/-2|0,k=f+(B<<2)|0,d=Q-m|0,m=d>>2,m&&(Mw(k|0,f|0,d|0)|0,f=n[O>>2]|0),Xe=k+(m<<2)|0,n[M>>2]=Xe,n[O>>2]=f+(B<<2),f=Xe}while(0);n[f>>2]=n[c>>2],n[M>>2]=(n[M>>2]|0)+4,l=Bg(s,Fe,l)|0,UA(Fe)}while(0);return C=et,l|0}function Le(s){s=s|0;var l=0;do{if(l=s+984|0,o[l>>0]|0)break;o[l>>0]=1,h[s+504>>2]=y(Ae),s=n[s+944>>2]|0}while((s|0)!=0)}function ft(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-4-f|0)>>>2)<<2)),gt(c))}function pt(s){return s=s|0,n[s+944>>2]|0}function Rt(s){s=s|0,Un(s,(n[s+964>>2]|0)!=0,2832),Le(s)}function er(s){return s=s|0,(o[s+984>>0]|0)!=0|0}function Zr(s,l){s=s|0,l=l|0,LUe(s,l,400)|0&&(Dr(s|0,l|0,400)|0,Le(s))}function qi(s){s=s|0;var l=Ze;return l=y(h[s+44>>2]),s=_t(l)|0,y(s?y(0):l)}function es(s){s=s|0;var l=Ze;return l=y(h[s+48>>2]),_t(l)|0&&(l=o[(n[s+976>>2]|0)+2>>0]|0?y(1):y(0)),y(l)}function xi(s,l){s=s|0,l=l|0,n[s+980>>2]=l}function jo(s){return s=s|0,n[s+980>>2]|0}function bA(s,l){s=s|0,l=l|0;var c=0;c=s+4|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function kA(s){return s=s|0,n[s+4>>2]|0}function up(s,l){s=s|0,l=l|0;var c=0;c=s+8|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function ng(s){return s=s|0,n[s+8>>2]|0}function gu(s,l){s=s|0,l=l|0;var c=0;c=s+12|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function ig(s){return s=s|0,n[s+12>>2]|0}function du(s,l){s=s|0,l=l|0;var c=0;c=s+16|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function uo(s){return s=s|0,n[s+16>>2]|0}function QA(s,l){s=s|0,l=l|0;var c=0;c=s+20|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function mc(s){return s=s|0,n[s+20>>2]|0}function ca(s,l){s=s|0,l=l|0;var c=0;c=s+24|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function sg(s){return s=s|0,n[s+24>>2]|0}function yc(s,l){s=s|0,l=l|0;var c=0;c=s+28|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function Pm(s){return s=s|0,n[s+28>>2]|0}function og(s,l){s=s|0,l=l|0;var c=0;c=s+32|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function $n(s){return s=s|0,n[s+32>>2]|0}function Ap(s,l){s=s|0,l=l|0;var c=0;c=s+36|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function ag(s){return s=s|0,n[s+36>>2]|0}function FA(s,l){s=s|0,l=y(l);var c=0;c=s+40|0,y(h[c>>2])!=l&&(h[c>>2]=l,Le(s))}function Hs(s,l){s=s|0,l=y(l);var c=0;c=s+44|0,y(h[c>>2])!=l&&(h[c>>2]=l,Le(s))}function mu(s,l){s=s|0,l=y(l);var c=0;c=s+48|0,y(h[c>>2])!=l&&(h[c>>2]=l,Le(s))}function Ha(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+52|0,d=s+56|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function Gi(s,l){s=s|0,l=y(l);var c=0,f=0;f=s+52|0,c=s+56|0,y(h[f>>2])==l&&(n[c>>2]|0)==2||(h[f>>2]=l,f=_t(l)|0,n[c>>2]=f?3:2,Le(s))}function ua(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+52|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function yu(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=(m^1)&1,d=s+132+(l<<3)|0,l=s+132+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function Es(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=m?0:2,d=s+132+(l<<3)|0,l=s+132+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function Ec(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=l+132+(c<<3)|0,l=n[f+4>>2]|0,c=s,n[c>>2]=n[f>>2],n[c+4>>2]=l}function Cc(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=(m^1)&1,d=s+60+(l<<3)|0,l=s+60+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function G(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=m?0:2,d=s+60+(l<<3)|0,l=s+60+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function Dt(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=l+60+(c<<3)|0,l=n[f+4>>2]|0,c=s,n[c>>2]=n[f>>2],n[c+4>>2]=l}function wl(s,l){s=s|0,l=l|0;var c=0;c=s+60+(l<<3)+4|0,(n[c>>2]|0)!=3&&(h[s+60+(l<<3)>>2]=y(Ae),n[c>>2]=3,Le(s))}function bi(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=(m^1)&1,d=s+204+(l<<3)|0,l=s+204+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function wc(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=m?0:2,d=s+204+(l<<3)|0,l=s+204+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function ct(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=l+204+(c<<3)|0,l=n[f+4>>2]|0,c=s,n[c>>2]=n[f>>2],n[c+4>>2]=l}function Eu(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=(m^1)&1,d=s+276+(l<<3)|0,l=s+276+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function lg(s,l){return s=s|0,l=l|0,y(h[s+276+(l<<3)>>2])}function mw(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+348|0,d=s+352|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function TA(s,l){s=s|0,l=y(l);var c=0,f=0;f=s+348|0,c=s+352|0,y(h[f>>2])==l&&(n[c>>2]|0)==2||(h[f>>2]=l,f=_t(l)|0,n[c>>2]=f?3:2,Le(s))}function fp(s){s=s|0;var l=0;l=s+352|0,(n[l>>2]|0)!=3&&(h[s+348>>2]=y(Ae),n[l>>2]=3,Le(s))}function Br(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+348|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function Cs(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+356|0,d=s+360|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function cg(s,l){s=s|0,l=y(l);var c=0,f=0;f=s+356|0,c=s+360|0,y(h[f>>2])==l&&(n[c>>2]|0)==2||(h[f>>2]=l,f=_t(l)|0,n[c>>2]=f?3:2,Le(s))}function ug(s){s=s|0;var l=0;l=s+360|0,(n[l>>2]|0)!=3&&(h[s+356>>2]=y(Ae),n[l>>2]=3,Le(s))}function Ag(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+356|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function pp(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+364|0,d=s+368|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function Ic(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=m?0:2,f=s+364|0,d=s+368|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function Ct(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+364|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function Sm(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+372|0,d=s+376|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function fg(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=m?0:2,f=s+372|0,d=s+376|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function pg(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+372|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function Cu(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+380|0,d=s+384|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function xm(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=m?0:2,f=s+380|0,d=s+384|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function hg(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+380|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function wu(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+388|0,d=s+392|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function yw(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=m?0:2,f=s+388|0,d=s+392|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function bm(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+388|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function Aa(s,l){s=s|0,l=y(l);var c=0;c=s+396|0,y(h[c>>2])!=l&&(h[c>>2]=l,Le(s))}function Bc(s){return s=s|0,y(h[s+396>>2])}function Il(s){return s=s|0,y(h[s+400>>2])}function Iu(s){return s=s|0,y(h[s+404>>2])}function gg(s){return s=s|0,y(h[s+408>>2])}function RA(s){return s=s|0,y(h[s+412>>2])}function hp(s){return s=s|0,y(h[s+416>>2])}function ja(s){return s=s|0,y(h[s+420>>2])}function dg(s,l){switch(s=s|0,l=l|0,Un(s,(l|0)<6,2918),l|0){case 0:{l=(n[s+496>>2]|0)==2?5:4;break}case 2:{l=(n[s+496>>2]|0)==2?4:5;break}default:}return y(h[s+424+(l<<2)>>2])}function gp(s,l){switch(s=s|0,l=l|0,Un(s,(l|0)<6,2918),l|0){case 0:{l=(n[s+496>>2]|0)==2?5:4;break}case 2:{l=(n[s+496>>2]|0)==2?4:5;break}default:}return y(h[s+448+(l<<2)>>2])}function qo(s,l){switch(s=s|0,l=l|0,Un(s,(l|0)<6,2918),l|0){case 0:{l=(n[s+496>>2]|0)==2?5:4;break}case 2:{l=(n[s+496>>2]|0)==2?4:5;break}default:}return y(h[s+472+(l<<2)>>2])}function ws(s,l){s=s|0,l=l|0;var c=0,f=Ze;return c=n[s+4>>2]|0,(c|0)==(n[l+4>>2]|0)?c?(f=y(h[s>>2]),s=y(ne(y(f-y(h[l>>2]))))<y(999999974e-13)):s=1:s=0,s|0}function Ii(s,l){s=y(s),l=y(l);var c=0;return _t(s)|0?c=_t(l)|0:c=y(ne(y(s-l)))<y(999999974e-13),c|0}function km(s,l){s=s|0,l=l|0,Qm(s,l)}function Qm(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c+4|0,n[f>>2]=0,n[f+4>>2]=0,n[f+8>>2]=0,Oa(f|0,s|0,l|0,0),Ao(s,3,(o[f+11>>0]|0)<0?n[f>>2]|0:f,c),s3e(f),C=c}function Go(s,l,c,f){s=y(s),l=y(l),c=c|0,f=f|0;var d=Ze;s=y(s*l),d=y(kT(s,y(1)));do if(Ii(d,y(0))|0)s=y(s-d);else{if(s=y(s-d),Ii(d,y(1))|0){s=y(s+y(1));break}if(c){s=y(s+y(1));break}f||(d>y(.5)?d=y(1):(f=Ii(d,y(.5))|0,d=y(f?1:0)),s=y(s+d))}while(0);return y(s/l)}function NA(s,l,c,f,d,m,B,k,Q,O,M,q,se){s=s|0,l=y(l),c=c|0,f=y(f),d=d|0,m=y(m),B=B|0,k=y(k),Q=y(Q),O=y(O),M=y(M),q=y(q),se=se|0;var Ge=0,Oe=Ze,Fe=Ze,et=Ze,Xe=Ze,at=Ze,Ue=Ze;return Q<y(0)|O<y(0)?se=0:((se|0)!=0&&(Oe=y(h[se+4>>2]),Oe!=y(0))?(et=y(Go(l,Oe,0,0)),Xe=y(Go(f,Oe,0,0)),Fe=y(Go(m,Oe,0,0)),Oe=y(Go(k,Oe,0,0))):(Fe=m,et=l,Oe=k,Xe=f),(d|0)==(s|0)?Ge=Ii(Fe,et)|0:Ge=0,(B|0)==(c|0)?se=Ii(Oe,Xe)|0:se=0,!Ge&&(at=y(l-M),!(dp(s,at,Q)|0))&&!(mp(s,at,d,Q)|0)?Ge=mg(s,at,d,m,Q)|0:Ge=1,!se&&(Ue=y(f-q),!(dp(c,Ue,O)|0))&&!(mp(c,Ue,B,O)|0)?se=mg(c,Ue,B,k,O)|0:se=1,se=Ge&se),se|0}function dp(s,l,c){return s=s|0,l=y(l),c=y(c),(s|0)==1?s=Ii(l,c)|0:s=0,s|0}function mp(s,l,c,f){return s=s|0,l=y(l),c=c|0,f=y(f),(s|0)==2&(c|0)==0?l>=f?s=1:s=Ii(l,f)|0:s=0,s|0}function mg(s,l,c,f,d){return s=s|0,l=y(l),c=c|0,f=y(f),d=y(d),(s|0)==2&(c|0)==2&f>l?d<=l?s=1:s=Ii(l,d)|0:s=0,s|0}function fa(s,l,c,f,d,m,B,k,Q,O,M){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=m|0,B=y(B),k=y(k),Q=Q|0,O=O|0,M=M|0;var q=0,se=0,Ge=0,Oe=0,Fe=Ze,et=Ze,Xe=0,at=0,Ue=0,qe=0,Lt=0,Or=0,or=0,Xt=0,Pr=0,Nr=0,ir=0,bn=Ze,go=Ze,mo=Ze,yo=0,ya=0;ir=C,C=C+160|0,Xt=ir+152|0,or=ir+120|0,Or=ir+104|0,Ue=ir+72|0,Oe=ir+56|0,Lt=ir+8|0,at=ir,qe=(n[2279]|0)+1|0,n[2279]=qe,Pr=s+984|0,(o[Pr>>0]|0)!=0&&(n[s+512>>2]|0)!=(n[2278]|0)?Xe=4:(n[s+516>>2]|0)==(f|0)?Nr=0:Xe=4,(Xe|0)==4&&(n[s+520>>2]=0,n[s+924>>2]=-1,n[s+928>>2]=-1,h[s+932>>2]=y(-1),h[s+936>>2]=y(-1),Nr=1);e:do if(n[s+964>>2]|0)if(Fe=y(ln(s,2,B)),et=y(ln(s,0,B)),q=s+916|0,mo=y(h[q>>2]),go=y(h[s+920>>2]),bn=y(h[s+932>>2]),NA(d,l,m,c,n[s+924>>2]|0,mo,n[s+928>>2]|0,go,bn,y(h[s+936>>2]),Fe,et,M)|0)Xe=22;else if(Ge=n[s+520>>2]|0,!Ge)Xe=21;else for(se=0;;){if(q=s+524+(se*24|0)|0,bn=y(h[q>>2]),go=y(h[s+524+(se*24|0)+4>>2]),mo=y(h[s+524+(se*24|0)+16>>2]),NA(d,l,m,c,n[s+524+(se*24|0)+8>>2]|0,bn,n[s+524+(se*24|0)+12>>2]|0,go,mo,y(h[s+524+(se*24|0)+20>>2]),Fe,et,M)|0){Xe=22;break e}if(se=se+1|0,se>>>0>=Ge>>>0){Xe=21;break}}else{if(Q){if(q=s+916|0,!(Ii(y(h[q>>2]),l)|0)){Xe=21;break}if(!(Ii(y(h[s+920>>2]),c)|0)){Xe=21;break}if((n[s+924>>2]|0)!=(d|0)){Xe=21;break}q=(n[s+928>>2]|0)==(m|0)?q:0,Xe=22;break}if(Ge=n[s+520>>2]|0,!Ge)Xe=21;else for(se=0;;){if(q=s+524+(se*24|0)|0,Ii(y(h[q>>2]),l)|0&&Ii(y(h[s+524+(se*24|0)+4>>2]),c)|0&&(n[s+524+(se*24|0)+8>>2]|0)==(d|0)&&(n[s+524+(se*24|0)+12>>2]|0)==(m|0)){Xe=22;break e}if(se=se+1|0,se>>>0>=Ge>>>0){Xe=21;break}}}while(0);do if((Xe|0)==21)o[11697]|0?(q=0,Xe=28):(q=0,Xe=31);else if((Xe|0)==22){if(se=(o[11697]|0)!=0,!((q|0)!=0&(Nr^1)))if(se){Xe=28;break}else{Xe=31;break}Oe=q+16|0,n[s+908>>2]=n[Oe>>2],Ge=q+20|0,n[s+912>>2]=n[Ge>>2],(o[11698]|0)==0|se^1||(n[at>>2]=LA(qe)|0,n[at+4>>2]=qe,Ao(s,4,2972,at),se=n[s+972>>2]|0,se|0&&ef[se&127](s),d=qa(d,Q)|0,m=qa(m,Q)|0,ya=+y(h[Oe>>2]),yo=+y(h[Ge>>2]),n[Lt>>2]=d,n[Lt+4>>2]=m,E[Lt+8>>3]=+l,E[Lt+16>>3]=+c,E[Lt+24>>3]=ya,E[Lt+32>>3]=yo,n[Lt+40>>2]=O,Ao(s,4,2989,Lt))}while(0);return(Xe|0)==28&&(se=LA(qe)|0,n[Oe>>2]=se,n[Oe+4>>2]=qe,n[Oe+8>>2]=Nr?3047:11699,Ao(s,4,3038,Oe),se=n[s+972>>2]|0,se|0&&ef[se&127](s),Lt=qa(d,Q)|0,Xe=qa(m,Q)|0,n[Ue>>2]=Lt,n[Ue+4>>2]=Xe,E[Ue+8>>3]=+l,E[Ue+16>>3]=+c,n[Ue+24>>2]=O,Ao(s,4,3049,Ue),Xe=31),(Xe|0)==31&&(si(s,l,c,f,d,m,B,k,Q,M),o[11697]|0&&(se=n[2279]|0,Lt=LA(se)|0,n[Or>>2]=Lt,n[Or+4>>2]=se,n[Or+8>>2]=Nr?3047:11699,Ao(s,4,3083,Or),se=n[s+972>>2]|0,se|0&&ef[se&127](s),Lt=qa(d,Q)|0,Or=qa(m,Q)|0,yo=+y(h[s+908>>2]),ya=+y(h[s+912>>2]),n[or>>2]=Lt,n[or+4>>2]=Or,E[or+8>>3]=yo,E[or+16>>3]=ya,n[or+24>>2]=O,Ao(s,4,3092,or)),n[s+516>>2]=f,q||(se=s+520|0,q=n[se>>2]|0,(q|0)==16&&(o[11697]|0&&Ao(s,4,3124,Xt),n[se>>2]=0,q=0),Q?q=s+916|0:(n[se>>2]=q+1,q=s+524+(q*24|0)|0),h[q>>2]=l,h[q+4>>2]=c,n[q+8>>2]=d,n[q+12>>2]=m,n[q+16>>2]=n[s+908>>2],n[q+20>>2]=n[s+912>>2],q=0)),Q&&(n[s+416>>2]=n[s+908>>2],n[s+420>>2]=n[s+912>>2],o[s+985>>0]=1,o[Pr>>0]=0),n[2279]=(n[2279]|0)+-1,n[s+512>>2]=n[2278],C=ir,Nr|(q|0)==0|0}function ln(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return f=y(V(s,l,c)),y(f+y(re(s,l,c)))}function Ao(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=C,C=C+16|0,d=m,n[d>>2]=f,s?f=n[s+976>>2]|0:f=0,Eg(f,s,l,c,d),C=m}function LA(s){return s=s|0,(s>>>0>60?3201:3201+(60-s)|0)|0}function qa(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;return d=C,C=C+32|0,c=d+12|0,f=d,n[c>>2]=n[254],n[c+4>>2]=n[255],n[c+8>>2]=n[256],n[f>>2]=n[257],n[f+4>>2]=n[258],n[f+8>>2]=n[259],(s|0)>2?s=11699:s=n[(l?f:c)+(s<<2)>>2]|0,C=d,s|0}function si(s,l,c,f,d,m,B,k,Q,O){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=m|0,B=y(B),k=y(k),Q=Q|0,O=O|0;var M=0,q=0,se=0,Ge=0,Oe=Ze,Fe=Ze,et=Ze,Xe=Ze,at=Ze,Ue=Ze,qe=Ze,Lt=0,Or=0,or=0,Xt=Ze,Pr=Ze,Nr=0,ir=Ze,bn=0,go=0,mo=0,yo=0,ya=0,Qp=0,Fp=0,xl=0,Tp=0,Fu=0,Tu=0,Rp=0,Np=0,Lp=0,Xr=0,bl=0,Mp=0,bc=0,Op=Ze,Up=Ze,Ru=Ze,Nu=Ze,kc=Ze,qs=0,za=0,Wo=0,kl=0,rf=0,nf=Ze,Lu=Ze,sf=Ze,of=Ze,Gs=Ze,vs=Ze,Ql=0,Tn=Ze,af=Ze,Eo=Ze,Qc=Ze,Co=Ze,Fc=Ze,lf=0,cf=0,Tc=Ze,Ys=Ze,Fl=0,uf=0,Af=0,ff=0,br=Ze,Jn=0,Ds=0,wo=0,Ws=0,Tr=0,ur=0,Tl=0,Jt=Ze,pf=0,li=0;Tl=C,C=C+16|0,qs=Tl+12|0,za=Tl+8|0,Wo=Tl+4|0,kl=Tl,Un(s,(d|0)==0|(_t(l)|0)^1,3326),Un(s,(m|0)==0|(_t(c)|0)^1,3406),Ds=mt(s,f)|0,n[s+496>>2]=Ds,Tr=fr(2,Ds)|0,ur=fr(0,Ds)|0,h[s+440>>2]=y(V(s,Tr,B)),h[s+444>>2]=y(re(s,Tr,B)),h[s+428>>2]=y(V(s,ur,B)),h[s+436>>2]=y(re(s,ur,B)),h[s+464>>2]=y(Cr(s,Tr)),h[s+468>>2]=y(yn(s,Tr)),h[s+452>>2]=y(Cr(s,ur)),h[s+460>>2]=y(yn(s,ur)),h[s+488>>2]=y(oi(s,Tr,B)),h[s+492>>2]=y(Mi(s,Tr,B)),h[s+476>>2]=y(oi(s,ur,B)),h[s+484>>2]=y(Mi(s,ur,B));do if(n[s+964>>2]|0)wg(s,l,c,d,m,B,k);else{if(wo=s+948|0,Ws=(n[s+952>>2]|0)-(n[wo>>2]|0)>>2,!Ws){Gv(s,l,c,d,m,B,k);break}if(!Q&&Yv(s,l,c,d,m,B,k)|0)break;$(s),bl=s+508|0,o[bl>>0]=0,Tr=fr(n[s+4>>2]|0,Ds)|0,ur=Cw(Tr,Ds)|0,Jn=he(Tr)|0,Mp=n[s+8>>2]|0,uf=s+28|0,bc=(n[uf>>2]|0)!=0,Co=Jn?B:k,Tc=Jn?k:B,Op=y(Ep(s,Tr,B)),Up=y(ww(s,Tr,B)),Oe=y(Ep(s,ur,B)),Fc=y(En(s,Tr,B)),Ys=y(En(s,ur,B)),or=Jn?d:m,Fl=Jn?m:d,br=Jn?Fc:Ys,at=Jn?Ys:Fc,Qc=y(ln(s,2,B)),Xe=y(ln(s,0,B)),Fe=y(y(Gr(s+364|0,B))-br),et=y(y(Gr(s+380|0,B))-br),Ue=y(y(Gr(s+372|0,k))-at),qe=y(y(Gr(s+388|0,k))-at),Ru=Jn?Fe:Ue,Nu=Jn?et:qe,Qc=y(l-Qc),l=y(Qc-br),_t(l)|0?br=l:br=y(_n(y(Tg(l,et)),Fe)),af=y(c-Xe),l=y(af-at),_t(l)|0?Eo=l:Eo=y(_n(y(Tg(l,qe)),Ue)),Fe=Jn?br:Eo,Tn=Jn?Eo:br;e:do if((or|0)==1)for(f=0,q=0;;){if(M=gs(s,q)|0,!f)y(rs(M))>y(0)&&y(js(M))>y(0)?f=M:f=0;else if(Tm(M)|0){Ge=0;break e}if(q=q+1|0,q>>>0>=Ws>>>0){Ge=f;break}}else Ge=0;while(0);Lt=Ge+500|0,Or=Ge+504|0,f=0,M=0,l=y(0),se=0;do{if(q=n[(n[wo>>2]|0)+(se<<2)>>2]|0,(n[q+36>>2]|0)==1)Bu(q),o[q+985>>0]=1,o[q+984>>0]=0;else{Bl(q),Q&&yp(q,mt(q,Ds)|0,Fe,Tn,br);do if((n[q+24>>2]|0)!=1)if((q|0)==(Ge|0)){n[Lt>>2]=n[2278],h[Or>>2]=y(0);break}else{Rm(s,q,br,d,Eo,br,Eo,m,Ds,O);break}else M|0&&(n[M+960>>2]=q),n[q+960>>2]=0,M=q,f=(f|0)==0?q:f;while(0);vs=y(h[q+504>>2]),l=y(l+y(vs+y(ln(q,Tr,br))))}se=se+1|0}while((se|0)!=(Ws|0));for(mo=l>Fe,Ql=bc&((or|0)==2&mo)?1:or,bn=(Fl|0)==1,ya=bn&(Q^1),Qp=(Ql|0)==1,Fp=(Ql|0)==2,xl=976+(Tr<<2)|0,Tp=(Fl|2|0)==2,Lp=bn&(bc^1),Fu=1040+(ur<<2)|0,Tu=1040+(Tr<<2)|0,Rp=976+(ur<<2)|0,Np=(Fl|0)!=1,mo=bc&((or|0)!=0&mo),go=s+976|0,bn=bn^1,l=Fe,Nr=0,yo=0,vs=y(0),kc=y(0);;){e:do if(Nr>>>0<Ws>>>0)for(Or=n[wo>>2]|0,se=0,qe=y(0),Ue=y(0),et=y(0),Fe=y(0),q=0,M=0,Ge=Nr;;){if(Lt=n[Or+(Ge<<2)>>2]|0,(n[Lt+36>>2]|0)!=1&&(n[Lt+940>>2]=yo,(n[Lt+24>>2]|0)!=1)){if(Xe=y(ln(Lt,Tr,br)),Xr=n[xl>>2]|0,c=y(Gr(Lt+380+(Xr<<3)|0,Co)),at=y(h[Lt+504>>2]),c=y(Tg(c,at)),c=y(_n(y(Gr(Lt+364+(Xr<<3)|0,Co)),c)),bc&(se|0)!=0&y(Xe+y(Ue+c))>l){m=se,Xe=qe,or=Ge;break e}Xe=y(Xe+c),c=y(Ue+Xe),Xe=y(qe+Xe),Tm(Lt)|0&&(et=y(et+y(rs(Lt))),Fe=y(Fe-y(at*y(js(Lt))))),M|0&&(n[M+960>>2]=Lt),n[Lt+960>>2]=0,se=se+1|0,M=Lt,q=(q|0)==0?Lt:q}else Xe=qe,c=Ue;if(Ge=Ge+1|0,Ge>>>0<Ws>>>0)qe=Xe,Ue=c;else{m=se,or=Ge;break}}else m=0,Xe=y(0),et=y(0),Fe=y(0),q=0,or=Nr;while(0);Xr=et>y(0)&et<y(1),Xt=Xr?y(1):et,Xr=Fe>y(0)&Fe<y(1),qe=Xr?y(1):Fe;do if(Qp)Xr=51;else if(Xe<Ru&((_t(Ru)|0)^1))l=Ru,Xr=51;else if(Xe>Nu&((_t(Nu)|0)^1))l=Nu,Xr=51;else if(o[(n[go>>2]|0)+3>>0]|0)Xr=51;else{if(Xt!=y(0)&&y(rs(s))!=y(0)){Xr=53;break}l=Xe,Xr=53}while(0);if((Xr|0)==51&&(Xr=0,_t(l)|0?Xr=53:(Pr=y(l-Xe),ir=l)),(Xr|0)==53&&(Xr=0,Xe<y(0)?(Pr=y(-Xe),ir=l):(Pr=y(0),ir=l)),!ya&&(rf=(q|0)==0,!rf)){se=n[xl>>2]|0,Ge=Pr<y(0),at=y(Pr/qe),Lt=Pr>y(0),Ue=y(Pr/Xt),et=y(0),Xe=y(0),l=y(0),M=q;do c=y(Gr(M+380+(se<<3)|0,Co)),Fe=y(Gr(M+364+(se<<3)|0,Co)),Fe=y(Tg(c,y(_n(Fe,y(h[M+504>>2]))))),Ge?(c=y(Fe*y(js(M))),c!=y(-0)&&(Jt=y(Fe-y(at*c)),nf=y(Bi(M,Tr,Jt,ir,br)),Jt!=nf)&&(et=y(et-y(nf-Fe)),l=y(l+c))):Lt&&(Lu=y(rs(M)),Lu!=y(0))&&(Jt=y(Fe+y(Ue*Lu)),sf=y(Bi(M,Tr,Jt,ir,br)),Jt!=sf)&&(et=y(et-y(sf-Fe)),Xe=y(Xe-Lu)),M=n[M+960>>2]|0;while((M|0)!=0);if(l=y(qe+l),Fe=y(Pr+et),rf)l=y(0);else{at=y(Xt+Xe),Ge=n[xl>>2]|0,Lt=Fe<y(0),Or=l==y(0),Ue=y(Fe/l),se=Fe>y(0),at=y(Fe/at),l=y(0);do{Jt=y(Gr(q+380+(Ge<<3)|0,Co)),et=y(Gr(q+364+(Ge<<3)|0,Co)),et=y(Tg(Jt,y(_n(et,y(h[q+504>>2]))))),Lt?(Jt=y(et*y(js(q))),Fe=y(-Jt),Jt!=y(-0)?(Jt=y(Ue*Fe),Fe=y(Bi(q,Tr,y(et+(Or?Fe:Jt)),ir,br))):Fe=et):se&&(of=y(rs(q)),of!=y(0))?Fe=y(Bi(q,Tr,y(et+y(at*of)),ir,br)):Fe=et,l=y(l-y(Fe-et)),Xe=y(ln(q,Tr,br)),c=y(ln(q,ur,br)),Fe=y(Fe+Xe),h[za>>2]=Fe,n[kl>>2]=1,et=y(h[q+396>>2]);e:do if(_t(et)|0){M=_t(Tn)|0;do if(!M){if(mo|(ts(q,ur,Tn)|0|bn)||(ha(s,q)|0)!=4||(n[(vl(q,ur)|0)+4>>2]|0)==3||(n[(Pc(q,ur)|0)+4>>2]|0)==3)break;h[qs>>2]=Tn,n[Wo>>2]=1;break e}while(0);if(ts(q,ur,Tn)|0){M=n[q+992+(n[Rp>>2]<<2)>>2]|0,Jt=y(c+y(Gr(M,Tn))),h[qs>>2]=Jt,M=Np&(n[M+4>>2]|0)==2,n[Wo>>2]=((_t(Jt)|0|M)^1)&1;break}else{h[qs>>2]=Tn,n[Wo>>2]=M?0:2;break}}else Jt=y(Fe-Xe),Xt=y(Jt/et),Jt=y(et*Jt),n[Wo>>2]=1,h[qs>>2]=y(c+(Jn?Xt:Jt));while(0);yr(q,Tr,ir,br,kl,za),yr(q,ur,Tn,br,Wo,qs);do if(!(ts(q,ur,Tn)|0)&&(ha(s,q)|0)==4){if((n[(vl(q,ur)|0)+4>>2]|0)==3){M=0;break}M=(n[(Pc(q,ur)|0)+4>>2]|0)!=3}else M=0;while(0);Jt=y(h[za>>2]),Xt=y(h[qs>>2]),pf=n[kl>>2]|0,li=n[Wo>>2]|0,fa(q,Jn?Jt:Xt,Jn?Xt:Jt,Ds,Jn?pf:li,Jn?li:pf,br,Eo,Q&(M^1),3488,O)|0,o[bl>>0]=o[bl>>0]|o[q+508>>0],q=n[q+960>>2]|0}while((q|0)!=0)}}else l=y(0);if(l=y(Pr+l),li=l<y(0)&1,o[bl>>0]=li|u[bl>>0],Fp&l>y(0)?(M=n[xl>>2]|0,(n[s+364+(M<<3)+4>>2]|0)!=0&&(Gs=y(Gr(s+364+(M<<3)|0,Co)),Gs>=y(0))?Fe=y(_n(y(0),y(Gs-y(ir-l)))):Fe=y(0)):Fe=l,Lt=Nr>>>0<or>>>0,Lt){Ge=n[wo>>2]|0,se=Nr,M=0;do q=n[Ge+(se<<2)>>2]|0,n[q+24>>2]|0||(M=((n[(vl(q,Tr)|0)+4>>2]|0)==3&1)+M|0,M=M+((n[(Pc(q,Tr)|0)+4>>2]|0)==3&1)|0),se=se+1|0;while((se|0)!=(or|0));M?(Xe=y(0),c=y(0)):Xr=101}else Xr=101;e:do if((Xr|0)==101)switch(Xr=0,Mp|0){case 1:{M=0,Xe=y(Fe*y(.5)),c=y(0);break e}case 2:{M=0,Xe=Fe,c=y(0);break e}case 3:{if(m>>>0<=1){M=0,Xe=y(0),c=y(0);break e}c=y((m+-1|0)>>>0),M=0,Xe=y(0),c=y(y(_n(Fe,y(0)))/c);break e}case 5:{c=y(Fe/y((m+1|0)>>>0)),M=0,Xe=c;break e}case 4:{c=y(Fe/y(m>>>0)),M=0,Xe=y(c*y(.5));break e}default:{M=0,Xe=y(0),c=y(0);break e}}while(0);if(l=y(Op+Xe),Lt){et=y(Fe/y(M|0)),se=n[wo>>2]|0,q=Nr,Fe=y(0);do{M=n[se+(q<<2)>>2]|0;e:do if((n[M+36>>2]|0)!=1){switch(n[M+24>>2]|0){case 1:{if(gi(M,Tr)|0){if(!Q)break e;Jt=y(Mr(M,Tr,ir)),Jt=y(Jt+y(Cr(s,Tr))),Jt=y(Jt+y(V(M,Tr,br))),h[M+400+(n[Tu>>2]<<2)>>2]=Jt;break e}break}case 0:if(li=(n[(vl(M,Tr)|0)+4>>2]|0)==3,Jt=y(et+l),l=li?Jt:l,Q&&(li=M+400+(n[Tu>>2]<<2)|0,h[li>>2]=y(l+y(h[li>>2]))),li=(n[(Pc(M,Tr)|0)+4>>2]|0)==3,Jt=y(et+l),l=li?Jt:l,ya){Jt=y(c+y(ln(M,Tr,br))),Fe=Tn,l=y(l+y(Jt+y(h[M+504>>2])));break e}else{l=y(l+y(c+y(ns(M,Tr,br)))),Fe=y(_n(Fe,y(ns(M,ur,br))));break e}default:}Q&&(Jt=y(Xe+y(Cr(s,Tr))),li=M+400+(n[Tu>>2]<<2)|0,h[li>>2]=y(Jt+y(h[li>>2])))}while(0);q=q+1|0}while((q|0)!=(or|0))}else Fe=y(0);if(c=y(Up+l),Tp?Xe=y(y(Bi(s,ur,y(Ys+Fe),Tc,B))-Ys):Xe=Tn,et=y(y(Bi(s,ur,y(Ys+(Lp?Tn:Fe)),Tc,B))-Ys),Lt&Q){q=Nr;do{se=n[(n[wo>>2]|0)+(q<<2)>>2]|0;do if((n[se+36>>2]|0)!=1){if((n[se+24>>2]|0)==1){if(gi(se,ur)|0){if(Jt=y(Mr(se,ur,Tn)),Jt=y(Jt+y(Cr(s,ur))),Jt=y(Jt+y(V(se,ur,br))),M=n[Fu>>2]|0,h[se+400+(M<<2)>>2]=Jt,!(_t(Jt)|0))break}else M=n[Fu>>2]|0;Jt=y(Cr(s,ur)),h[se+400+(M<<2)>>2]=y(Jt+y(V(se,ur,br)));break}M=ha(s,se)|0;do if((M|0)==4){if((n[(vl(se,ur)|0)+4>>2]|0)==3){Xr=139;break}if((n[(Pc(se,ur)|0)+4>>2]|0)==3){Xr=139;break}if(ts(se,ur,Tn)|0){l=Oe;break}pf=n[se+908+(n[xl>>2]<<2)>>2]|0,n[qs>>2]=pf,l=y(h[se+396>>2]),li=_t(l)|0,Fe=(n[v>>2]=pf,y(h[v>>2])),li?l=et:(Pr=y(ln(se,ur,br)),Jt=y(Fe/l),l=y(l*Fe),l=y(Pr+(Jn?Jt:l))),h[za>>2]=l,h[qs>>2]=y(y(ln(se,Tr,br))+Fe),n[Wo>>2]=1,n[kl>>2]=1,yr(se,Tr,ir,br,Wo,qs),yr(se,ur,Tn,br,kl,za),l=y(h[qs>>2]),Pr=y(h[za>>2]),Jt=Jn?l:Pr,l=Jn?Pr:l,li=((_t(Jt)|0)^1)&1,fa(se,Jt,l,Ds,li,((_t(l)|0)^1)&1,br,Eo,1,3493,O)|0,l=Oe}else Xr=139;while(0);e:do if((Xr|0)==139){Xr=0,l=y(Xe-y(ns(se,ur,br)));do if((n[(vl(se,ur)|0)+4>>2]|0)==3){if((n[(Pc(se,ur)|0)+4>>2]|0)!=3)break;l=y(Oe+y(_n(y(0),y(l*y(.5)))));break e}while(0);if((n[(Pc(se,ur)|0)+4>>2]|0)==3){l=Oe;break}if((n[(vl(se,ur)|0)+4>>2]|0)==3){l=y(Oe+y(_n(y(0),l)));break}switch(M|0){case 1:{l=Oe;break e}case 2:{l=y(Oe+y(l*y(.5)));break e}default:{l=y(Oe+l);break e}}}while(0);Jt=y(vs+l),li=se+400+(n[Fu>>2]<<2)|0,h[li>>2]=y(Jt+y(h[li>>2]))}while(0);q=q+1|0}while((q|0)!=(or|0))}if(vs=y(vs+et),kc=y(_n(kc,c)),m=yo+1|0,or>>>0>=Ws>>>0)break;l=ir,Nr=or,yo=m}do if(Q){if(M=m>>>0>1,!M&&!(Yi(s)|0))break;if(!(_t(Tn)|0)){l=y(Tn-vs);e:do switch(n[s+12>>2]|0){case 3:{Oe=y(Oe+l),Ue=y(0);break}case 2:{Oe=y(Oe+y(l*y(.5))),Ue=y(0);break}case 4:{Tn>vs?Ue=y(l/y(m>>>0)):Ue=y(0);break}case 7:if(Tn>vs){Oe=y(Oe+y(l/y(m<<1>>>0))),Ue=y(l/y(m>>>0)),Ue=M?Ue:y(0);break e}else{Oe=y(Oe+y(l*y(.5))),Ue=y(0);break e}case 6:{Ue=y(l/y(yo>>>0)),Ue=Tn>vs&M?Ue:y(0);break}default:Ue=y(0)}while(0);if(m|0)for(Lt=1040+(ur<<2)|0,Or=976+(ur<<2)|0,Ge=0,q=0;;){e:do if(q>>>0<Ws>>>0)for(Fe=y(0),et=y(0),l=y(0),se=q;;){M=n[(n[wo>>2]|0)+(se<<2)>>2]|0;do if((n[M+36>>2]|0)!=1&&(n[M+24>>2]|0)==0){if((n[M+940>>2]|0)!=(Ge|0))break e;if(Nm(M,ur)|0&&(Jt=y(h[M+908+(n[Or>>2]<<2)>>2]),l=y(_n(l,y(Jt+y(ln(M,ur,br)))))),(ha(s,M)|0)!=5)break;Gs=y(Ya(M)),Gs=y(Gs+y(V(M,0,br))),Jt=y(h[M+912>>2]),Jt=y(y(Jt+y(ln(M,0,br)))-Gs),Gs=y(_n(et,Gs)),Jt=y(_n(Fe,Jt)),Fe=Jt,et=Gs,l=y(_n(l,y(Gs+Jt)))}while(0);if(M=se+1|0,M>>>0<Ws>>>0)se=M;else{se=M;break}}else et=y(0),l=y(0),se=q;while(0);if(at=y(Ue+l),c=Oe,Oe=y(Oe+at),q>>>0<se>>>0){Xe=y(c+et),M=q;do{q=n[(n[wo>>2]|0)+(M<<2)>>2]|0;e:do if((n[q+36>>2]|0)!=1&&(n[q+24>>2]|0)==0)switch(ha(s,q)|0){case 1:{Jt=y(c+y(V(q,ur,br))),h[q+400+(n[Lt>>2]<<2)>>2]=Jt;break e}case 3:{Jt=y(y(Oe-y(re(q,ur,br)))-y(h[q+908+(n[Or>>2]<<2)>>2])),h[q+400+(n[Lt>>2]<<2)>>2]=Jt;break e}case 2:{Jt=y(c+y(y(at-y(h[q+908+(n[Or>>2]<<2)>>2]))*y(.5))),h[q+400+(n[Lt>>2]<<2)>>2]=Jt;break e}case 4:{if(Jt=y(c+y(V(q,ur,br))),h[q+400+(n[Lt>>2]<<2)>>2]=Jt,ts(q,ur,Tn)|0||(Jn?(Fe=y(h[q+908>>2]),l=y(Fe+y(ln(q,Tr,br))),et=at):(et=y(h[q+912>>2]),et=y(et+y(ln(q,ur,br))),l=at,Fe=y(h[q+908>>2])),Ii(l,Fe)|0&&Ii(et,y(h[q+912>>2]))|0))break e;fa(q,l,et,Ds,1,1,br,Eo,1,3501,O)|0;break e}case 5:{h[q+404>>2]=y(y(Xe-y(Ya(q)))+y(Mr(q,0,Tn)));break e}default:break e}while(0);M=M+1|0}while((M|0)!=(se|0))}if(Ge=Ge+1|0,(Ge|0)==(m|0))break;q=se}}}while(0);if(h[s+908>>2]=y(Bi(s,2,Qc,B,B)),h[s+912>>2]=y(Bi(s,0,af,k,B)),(Ql|0)!=0&&(lf=n[s+32>>2]|0,cf=(Ql|0)==2,!(cf&(lf|0)!=2))?cf&(lf|0)==2&&(l=y(Fc+ir),l=y(_n(y(Tg(l,y(MA(s,Tr,kc,Co)))),Fc)),Xr=198):(l=y(Bi(s,Tr,kc,Co,B)),Xr=198),(Xr|0)==198&&(h[s+908+(n[976+(Tr<<2)>>2]<<2)>>2]=l),(Fl|0)!=0&&(Af=n[s+32>>2]|0,ff=(Fl|0)==2,!(ff&(Af|0)!=2))?ff&(Af|0)==2&&(l=y(Ys+Tn),l=y(_n(y(Tg(l,y(MA(s,ur,y(Ys+vs),Tc)))),Ys)),Xr=204):(l=y(Bi(s,ur,y(Ys+vs),Tc,B)),Xr=204),(Xr|0)==204&&(h[s+908+(n[976+(ur<<2)>>2]<<2)>>2]=l),Q){if((n[uf>>2]|0)==2){q=976+(ur<<2)|0,se=1040+(ur<<2)|0,M=0;do Ge=gs(s,M)|0,n[Ge+24>>2]|0||(pf=n[q>>2]|0,Jt=y(h[s+908+(pf<<2)>>2]),li=Ge+400+(n[se>>2]<<2)|0,Jt=y(Jt-y(h[li>>2])),h[li>>2]=y(Jt-y(h[Ge+908+(pf<<2)>>2]))),M=M+1|0;while((M|0)!=(Ws|0))}if(f|0){M=Jn?Ql:d;do Lm(s,f,br,M,Eo,Ds,O),f=n[f+960>>2]|0;while((f|0)!=0)}if(M=(Tr|2|0)==3,q=(ur|2|0)==3,M|q){f=0;do se=n[(n[wo>>2]|0)+(f<<2)>>2]|0,(n[se+36>>2]|0)!=1&&(M&&Cp(s,se,Tr),q&&Cp(s,se,ur)),f=f+1|0;while((f|0)!=(Ws|0))}}}while(0);C=Tl}function pa(s,l){s=s|0,l=y(l);var c=0;oa(s,l>=y(0),3147),c=l==y(0),h[s+4>>2]=c?y(0):l}function vc(s,l,c,f){s=s|0,l=y(l),c=y(c),f=f|0;var d=Ze,m=Ze,B=0,k=0,Q=0;n[2278]=(n[2278]|0)+1,Bl(s),ts(s,2,l)|0?(d=y(Gr(n[s+992>>2]|0,l)),Q=1,d=y(d+y(ln(s,2,l)))):(d=y(Gr(s+380|0,l)),d>=y(0)?Q=2:(Q=((_t(l)|0)^1)&1,d=l)),ts(s,0,c)|0?(m=y(Gr(n[s+996>>2]|0,c)),k=1,m=y(m+y(ln(s,0,l)))):(m=y(Gr(s+388|0,c)),m>=y(0)?k=2:(k=((_t(c)|0)^1)&1,m=c)),B=s+976|0,fa(s,d,m,f,Q,k,l,c,1,3189,n[B>>2]|0)|0&&(yp(s,n[s+496>>2]|0,l,c,l),Dc(s,y(h[(n[B>>2]|0)+4>>2]),y(0),y(0)),o[11696]|0)&&km(s,7)}function Bl(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;k=C,C=C+32|0,B=k+24|0,m=k+16|0,f=k+8|0,d=k,c=0;do l=s+380+(c<<3)|0,(n[s+380+(c<<3)+4>>2]|0)!=0&&(Q=l,O=n[Q+4>>2]|0,M=f,n[M>>2]=n[Q>>2],n[M+4>>2]=O,M=s+364+(c<<3)|0,O=n[M+4>>2]|0,Q=d,n[Q>>2]=n[M>>2],n[Q+4>>2]=O,n[m>>2]=n[f>>2],n[m+4>>2]=n[f+4>>2],n[B>>2]=n[d>>2],n[B+4>>2]=n[d+4>>2],ws(m,B)|0)||(l=s+348+(c<<3)|0),n[s+992+(c<<2)>>2]=l,c=c+1|0;while((c|0)!=2);C=k}function ts(s,l,c){s=s|0,l=l|0,c=y(c);var f=0;switch(s=n[s+992+(n[976+(l<<2)>>2]<<2)>>2]|0,n[s+4>>2]|0){case 0:case 3:{s=0;break}case 1:{y(h[s>>2])<y(0)?s=0:f=5;break}case 2:{y(h[s>>2])<y(0)?s=0:s=(_t(c)|0)^1;break}default:f=5}return(f|0)==5&&(s=1),s|0}function Gr(s,l){switch(s=s|0,l=y(l),n[s+4>>2]|0){case 2:{l=y(y(y(h[s>>2])*l)/y(100));break}case 1:{l=y(h[s>>2]);break}default:l=y(Ae)}return y(l)}function yp(s,l,c,f,d){s=s|0,l=l|0,c=y(c),f=y(f),d=y(d);var m=0,B=Ze;l=n[s+944>>2]|0?l:1,m=fr(n[s+4>>2]|0,l)|0,l=Cw(m,l)|0,c=y(Mm(s,m,c)),f=y(Mm(s,l,f)),B=y(c+y(V(s,m,d))),h[s+400+(n[1040+(m<<2)>>2]<<2)>>2]=B,c=y(c+y(re(s,m,d))),h[s+400+(n[1e3+(m<<2)>>2]<<2)>>2]=c,c=y(f+y(V(s,l,d))),h[s+400+(n[1040+(l<<2)>>2]<<2)>>2]=c,d=y(f+y(re(s,l,d))),h[s+400+(n[1e3+(l<<2)>>2]<<2)>>2]=d}function Dc(s,l,c,f){s=s|0,l=y(l),c=y(c),f=y(f);var d=0,m=0,B=Ze,k=Ze,Q=0,O=0,M=Ze,q=0,se=Ze,Ge=Ze,Oe=Ze,Fe=Ze;if(l!=y(0)&&(d=s+400|0,Fe=y(h[d>>2]),m=s+404|0,Oe=y(h[m>>2]),q=s+416|0,Ge=y(h[q>>2]),O=s+420|0,B=y(h[O>>2]),se=y(Fe+c),M=y(Oe+f),f=y(se+Ge),k=y(M+B),Q=(n[s+988>>2]|0)==1,h[d>>2]=y(Go(Fe,l,0,Q)),h[m>>2]=y(Go(Oe,l,0,Q)),c=y(kT(y(Ge*l),y(1))),Ii(c,y(0))|0?m=0:m=(Ii(c,y(1))|0)^1,c=y(kT(y(B*l),y(1))),Ii(c,y(0))|0?d=0:d=(Ii(c,y(1))|0)^1,Fe=y(Go(f,l,Q&m,Q&(m^1))),h[q>>2]=y(Fe-y(Go(se,l,0,Q))),Fe=y(Go(k,l,Q&d,Q&(d^1))),h[O>>2]=y(Fe-y(Go(M,l,0,Q))),m=(n[s+952>>2]|0)-(n[s+948>>2]|0)>>2,m|0)){d=0;do Dc(gs(s,d)|0,l,se,M),d=d+1|0;while((d|0)!=(m|0))}}function Ew(s,l,c,f,d){switch(s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,c|0){case 5:case 0:{s=a7(n[489]|0,f,d)|0;break}default:s=t3e(f,d)|0}return s|0}function yg(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;d=C,C=C+16|0,m=d,n[m>>2]=f,Eg(s,0,l,c,m),C=d}function Eg(s,l,c,f,d){if(s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,s=s|0?s:956,x7[n[s+8>>2]&1](s,l,c,f,d)|0,(c|0)==5)Tt();else return}function Ga(s,l,c){s=s|0,l=l|0,c=c|0,o[s+l>>0]=c&1}function Fm(s,l){s=s|0,l=l|0;var c=0,f=0;n[s>>2]=0,n[s+4>>2]=0,n[s+8>>2]=0,c=l+4|0,f=(n[c>>2]|0)-(n[l>>2]|0)>>2,f|0&&(Cg(s,f),Qt(s,n[l>>2]|0,n[c>>2]|0,f))}function Cg(s,l){s=s|0,l=l|0;var c=0;if((N(s)|0)>>>0<l>>>0&&zr(s),l>>>0>1073741823)Tt();else{c=Vt(l<<2)|0,n[s+4>>2]=c,n[s>>2]=c,n[s+8>>2]=c+(l<<2);return}}function Qt(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,f=s+4|0,s=c-l|0,(s|0)>0&&(Dr(n[f>>2]|0,l|0,s|0)|0,n[f>>2]=(n[f>>2]|0)+(s>>>2<<2))}function N(s){return s=s|0,1073741823}function V(s,l,c){return s=s|0,l=l|0,c=y(c),he(l)|0&&(n[s+96>>2]|0)!=0?s=s+92|0:s=Fn(s+60|0,n[1040+(l<<2)>>2]|0,992)|0,y(ze(s,c))}function re(s,l,c){return s=s|0,l=l|0,c=y(c),he(l)|0&&(n[s+104>>2]|0)!=0?s=s+100|0:s=Fn(s+60|0,n[1e3+(l<<2)>>2]|0,992)|0,y(ze(s,c))}function he(s){return s=s|0,(s|1|0)==3|0}function ze(s,l){return s=s|0,l=y(l),(n[s+4>>2]|0)==3?l=y(0):l=y(Gr(s,l)),y(l)}function mt(s,l){return s=s|0,l=l|0,s=n[s>>2]|0,((s|0)==0?(l|0)>1?l:1:s)|0}function fr(s,l){s=s|0,l=l|0;var c=0;e:do if((l|0)==2){switch(s|0){case 2:{s=3;break e}case 3:break;default:{c=4;break e}}s=2}else c=4;while(0);return s|0}function Cr(s,l){s=s|0,l=l|0;var c=Ze;return he(l)|0&&(n[s+312>>2]|0)!=0&&(c=y(h[s+308>>2]),c>=y(0))||(c=y(_n(y(h[(Fn(s+276|0,n[1040+(l<<2)>>2]|0,992)|0)>>2]),y(0)))),y(c)}function yn(s,l){s=s|0,l=l|0;var c=Ze;return he(l)|0&&(n[s+320>>2]|0)!=0&&(c=y(h[s+316>>2]),c>=y(0))||(c=y(_n(y(h[(Fn(s+276|0,n[1e3+(l<<2)>>2]|0,992)|0)>>2]),y(0)))),y(c)}function oi(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return he(l)|0&&(n[s+240>>2]|0)!=0&&(f=y(Gr(s+236|0,c)),f>=y(0))||(f=y(_n(y(Gr(Fn(s+204|0,n[1040+(l<<2)>>2]|0,992)|0,c)),y(0)))),y(f)}function Mi(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return he(l)|0&&(n[s+248>>2]|0)!=0&&(f=y(Gr(s+244|0,c)),f>=y(0))||(f=y(_n(y(Gr(Fn(s+204|0,n[1e3+(l<<2)>>2]|0,992)|0,c)),y(0)))),y(f)}function wg(s,l,c,f,d,m,B){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=y(m),B=y(B);var k=Ze,Q=Ze,O=Ze,M=Ze,q=Ze,se=Ze,Ge=0,Oe=0,Fe=0;Fe=C,C=C+16|0,Ge=Fe,Oe=s+964|0,Un(s,(n[Oe>>2]|0)!=0,3519),k=y(En(s,2,l)),Q=y(En(s,0,l)),O=y(ln(s,2,l)),M=y(ln(s,0,l)),_t(l)|0?q=l:q=y(_n(y(0),y(y(l-O)-k))),_t(c)|0?se=c:se=y(_n(y(0),y(y(c-M)-Q))),(f|0)==1&(d|0)==1?(h[s+908>>2]=y(Bi(s,2,y(l-O),m,m)),l=y(Bi(s,0,y(c-M),B,m))):(b7[n[Oe>>2]&1](Ge,s,q,f,se,d),q=y(k+y(h[Ge>>2])),se=y(l-O),h[s+908>>2]=y(Bi(s,2,(f|2|0)==2?q:se,m,m)),se=y(Q+y(h[Ge+4>>2])),l=y(c-M),l=y(Bi(s,0,(d|2|0)==2?se:l,B,m))),h[s+912>>2]=l,C=Fe}function Gv(s,l,c,f,d,m,B){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=y(m),B=y(B);var k=Ze,Q=Ze,O=Ze,M=Ze;O=y(En(s,2,m)),k=y(En(s,0,m)),M=y(ln(s,2,m)),Q=y(ln(s,0,m)),l=y(l-M),h[s+908>>2]=y(Bi(s,2,(f|2|0)==2?O:l,m,m)),c=y(c-Q),h[s+912>>2]=y(Bi(s,0,(d|2|0)==2?k:c,B,m))}function Yv(s,l,c,f,d,m,B){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=y(m),B=y(B);var k=0,Q=Ze,O=Ze;return k=(f|0)==2,!(l<=y(0)&k)&&!(c<=y(0)&(d|0)==2)&&!((f|0)==1&(d|0)==1)?s=0:(Q=y(ln(s,0,m)),O=y(ln(s,2,m)),k=l<y(0)&k|(_t(l)|0),l=y(l-O),h[s+908>>2]=y(Bi(s,2,k?y(0):l,m,m)),l=y(c-Q),k=c<y(0)&(d|0)==2|(_t(c)|0),h[s+912>>2]=y(Bi(s,0,k?y(0):l,B,m)),s=1),s|0}function Cw(s,l){return s=s|0,l=l|0,OA(s)|0?s=fr(2,l)|0:s=0,s|0}function Ep(s,l,c){return s=s|0,l=l|0,c=y(c),c=y(oi(s,l,c)),y(c+y(Cr(s,l)))}function ww(s,l,c){return s=s|0,l=l|0,c=y(c),c=y(Mi(s,l,c)),y(c+y(yn(s,l)))}function En(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return f=y(Ep(s,l,c)),y(f+y(ww(s,l,c)))}function Tm(s){return s=s|0,n[s+24>>2]|0?s=0:y(rs(s))!=y(0)?s=1:s=y(js(s))!=y(0),s|0}function rs(s){s=s|0;var l=Ze;if(n[s+944>>2]|0){if(l=y(h[s+44>>2]),_t(l)|0)return l=y(h[s+40>>2]),s=l>y(0)&((_t(l)|0)^1),y(s?l:y(0))}else l=y(0);return y(l)}function js(s){s=s|0;var l=Ze,c=0,f=Ze;do if(n[s+944>>2]|0){if(l=y(h[s+48>>2]),_t(l)|0){if(c=o[(n[s+976>>2]|0)+2>>0]|0,c<<24>>24==0&&(f=y(h[s+40>>2]),f<y(0)&((_t(f)|0)^1))){l=y(-f);break}l=c<<24>>24?y(1):y(0)}}else l=y(0);while(0);return y(l)}function Bu(s){s=s|0;var l=0,c=0;if(zm(s+400|0,0,540)|0,o[s+985>>0]=1,$(s),c=wi(s)|0,c|0){l=s+948|0,s=0;do Bu(n[(n[l>>2]|0)+(s<<2)>>2]|0),s=s+1|0;while((s|0)!=(c|0))}}function Rm(s,l,c,f,d,m,B,k,Q,O){s=s|0,l=l|0,c=y(c),f=f|0,d=y(d),m=y(m),B=y(B),k=k|0,Q=Q|0,O=O|0;var M=0,q=Ze,se=0,Ge=0,Oe=Ze,Fe=Ze,et=0,Xe=Ze,at=0,Ue=Ze,qe=0,Lt=0,Or=0,or=0,Xt=0,Pr=0,Nr=0,ir=0,bn=0,go=0;bn=C,C=C+16|0,Or=bn+12|0,or=bn+8|0,Xt=bn+4|0,Pr=bn,ir=fr(n[s+4>>2]|0,Q)|0,qe=he(ir)|0,q=y(Gr(Iw(l)|0,qe?m:B)),Lt=ts(l,2,m)|0,Nr=ts(l,0,B)|0;do if(!(_t(q)|0)&&!(_t(qe?c:d)|0)){if(M=l+504|0,!(_t(y(h[M>>2]))|0)&&(!(Bw(n[l+976>>2]|0,0)|0)||(n[l+500>>2]|0)==(n[2278]|0)))break;h[M>>2]=y(_n(q,y(En(l,ir,m))))}else se=7;while(0);do if((se|0)==7){if(at=qe^1,!(at|Lt^1)){B=y(Gr(n[l+992>>2]|0,m)),h[l+504>>2]=y(_n(B,y(En(l,2,m))));break}if(!(qe|Nr^1)){B=y(Gr(n[l+996>>2]|0,B)),h[l+504>>2]=y(_n(B,y(En(l,0,m))));break}h[Or>>2]=y(Ae),h[or>>2]=y(Ae),n[Xt>>2]=0,n[Pr>>2]=0,Xe=y(ln(l,2,m)),Ue=y(ln(l,0,m)),Lt?(Oe=y(Xe+y(Gr(n[l+992>>2]|0,m))),h[Or>>2]=Oe,n[Xt>>2]=1,Ge=1):(Ge=0,Oe=y(Ae)),Nr?(q=y(Ue+y(Gr(n[l+996>>2]|0,B))),h[or>>2]=q,n[Pr>>2]=1,M=1):(M=0,q=y(Ae)),se=n[s+32>>2]|0,qe&(se|0)==2?se=2:_t(Oe)|0&&!(_t(c)|0)&&(h[Or>>2]=c,n[Xt>>2]=2,Ge=2,Oe=c),!((se|0)==2&at)&&_t(q)|0&&!(_t(d)|0)&&(h[or>>2]=d,n[Pr>>2]=2,M=2,q=d),Fe=y(h[l+396>>2]),et=_t(Fe)|0;do if(et)se=Ge;else{if((Ge|0)==1&at){h[or>>2]=y(y(Oe-Xe)/Fe),n[Pr>>2]=1,M=1,se=1;break}qe&(M|0)==1?(h[Or>>2]=y(Fe*y(q-Ue)),n[Xt>>2]=1,M=1,se=1):se=Ge}while(0);go=_t(c)|0,Ge=(ha(s,l)|0)!=4,!(qe|Lt|((f|0)!=1|go)|(Ge|(se|0)==1))&&(h[Or>>2]=c,n[Xt>>2]=1,!et)&&(h[or>>2]=y(y(c-Xe)/Fe),n[Pr>>2]=1,M=1),!(Nr|at|((k|0)!=1|(_t(d)|0))|(Ge|(M|0)==1))&&(h[or>>2]=d,n[Pr>>2]=1,!et)&&(h[Or>>2]=y(Fe*y(d-Ue)),n[Xt>>2]=1),yr(l,2,m,m,Xt,Or),yr(l,0,B,m,Pr,or),c=y(h[Or>>2]),d=y(h[or>>2]),fa(l,c,d,Q,n[Xt>>2]|0,n[Pr>>2]|0,m,B,0,3565,O)|0,B=y(h[l+908+(n[976+(ir<<2)>>2]<<2)>>2]),h[l+504>>2]=y(_n(B,y(En(l,ir,m))))}while(0);n[l+500>>2]=n[2278],C=bn}function Bi(s,l,c,f,d){return s=s|0,l=l|0,c=y(c),f=y(f),d=y(d),f=y(MA(s,l,c,f)),y(_n(f,y(En(s,l,d))))}function ha(s,l){return s=s|0,l=l|0,l=l+20|0,l=n[((n[l>>2]|0)==0?s+16|0:l)>>2]|0,(l|0)==5&&OA(n[s+4>>2]|0)|0&&(l=1),l|0}function vl(s,l){return s=s|0,l=l|0,he(l)|0&&(n[s+96>>2]|0)!=0?l=4:l=n[1040+(l<<2)>>2]|0,s+60+(l<<3)|0}function Pc(s,l){return s=s|0,l=l|0,he(l)|0&&(n[s+104>>2]|0)!=0?l=5:l=n[1e3+(l<<2)>>2]|0,s+60+(l<<3)|0}function yr(s,l,c,f,d,m){switch(s=s|0,l=l|0,c=y(c),f=y(f),d=d|0,m=m|0,c=y(Gr(s+380+(n[976+(l<<2)>>2]<<3)|0,c)),c=y(c+y(ln(s,l,f))),n[d>>2]|0){case 2:case 1:{d=_t(c)|0,f=y(h[m>>2]),h[m>>2]=d|f<c?f:c;break}case 0:{_t(c)|0||(n[d>>2]=2,h[m>>2]=c);break}default:}}function gi(s,l){return s=s|0,l=l|0,s=s+132|0,he(l)|0&&(n[(Fn(s,4,948)|0)+4>>2]|0)!=0?s=1:s=(n[(Fn(s,n[1040+(l<<2)>>2]|0,948)|0)+4>>2]|0)!=0,s|0}function Mr(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0;return s=s+132|0,he(l)|0&&(f=Fn(s,4,948)|0,(n[f+4>>2]|0)!=0)?d=4:(f=Fn(s,n[1040+(l<<2)>>2]|0,948)|0,n[f+4>>2]|0?d=4:c=y(0)),(d|0)==4&&(c=y(Gr(f,c))),y(c)}function ns(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return f=y(h[s+908+(n[976+(l<<2)>>2]<<2)>>2]),f=y(f+y(V(s,l,c))),y(f+y(re(s,l,c)))}function Yi(s){s=s|0;var l=0,c=0,f=0;e:do if(OA(n[s+4>>2]|0)|0)l=0;else if((n[s+16>>2]|0)!=5)if(c=wi(s)|0,!c)l=0;else for(l=0;;){if(f=gs(s,l)|0,(n[f+24>>2]|0)==0&&(n[f+20>>2]|0)==5){l=1;break e}if(l=l+1|0,l>>>0>=c>>>0){l=0;break}}else l=1;while(0);return l|0}function Nm(s,l){s=s|0,l=l|0;var c=Ze;return c=y(h[s+908+(n[976+(l<<2)>>2]<<2)>>2]),c>=y(0)&((_t(c)|0)^1)|0}function Ya(s){s=s|0;var l=Ze,c=0,f=0,d=0,m=0,B=0,k=0,Q=Ze;if(c=n[s+968>>2]|0,c)Q=y(h[s+908>>2]),l=y(h[s+912>>2]),l=y(v7[c&0](s,Q,l)),Un(s,(_t(l)|0)^1,3573);else{m=wi(s)|0;do if(m|0){for(c=0,d=0;;){if(f=gs(s,d)|0,n[f+940>>2]|0){B=8;break}if((n[f+24>>2]|0)!=1)if(k=(ha(s,f)|0)==5,k){c=f;break}else c=(c|0)==0?f:c;if(d=d+1|0,d>>>0>=m>>>0){B=8;break}}if((B|0)==8&&!c)break;return l=y(Ya(c)),y(l+y(h[c+404>>2]))}while(0);l=y(h[s+912>>2])}return y(l)}function MA(s,l,c,f){s=s|0,l=l|0,c=y(c),f=y(f);var d=Ze,m=0;return OA(l)|0?(l=1,m=3):he(l)|0?(l=0,m=3):(f=y(Ae),d=y(Ae)),(m|0)==3&&(d=y(Gr(s+364+(l<<3)|0,f)),f=y(Gr(s+380+(l<<3)|0,f))),m=f<c&(f>=y(0)&((_t(f)|0)^1)),c=m?f:c,m=d>=y(0)&((_t(d)|0)^1)&c<d,y(m?d:c)}function Lm(s,l,c,f,d,m,B){s=s|0,l=l|0,c=y(c),f=f|0,d=y(d),m=m|0,B=B|0;var k=Ze,Q=Ze,O=0,M=0,q=Ze,se=Ze,Ge=Ze,Oe=0,Fe=0,et=0,Xe=0,at=Ze,Ue=0;et=fr(n[s+4>>2]|0,m)|0,Oe=Cw(et,m)|0,Fe=he(et)|0,q=y(ln(l,2,c)),se=y(ln(l,0,c)),ts(l,2,c)|0?k=y(q+y(Gr(n[l+992>>2]|0,c))):gi(l,2)|0&&sr(l,2)|0?(k=y(h[s+908>>2]),Q=y(Cr(s,2)),Q=y(k-y(Q+y(yn(s,2)))),k=y(Mr(l,2,c)),k=y(Bi(l,2,y(Q-y(k+y(vu(l,2,c)))),c,c))):k=y(Ae),ts(l,0,d)|0?Q=y(se+y(Gr(n[l+996>>2]|0,d))):gi(l,0)|0&&sr(l,0)|0?(Q=y(h[s+912>>2]),at=y(Cr(s,0)),at=y(Q-y(at+y(yn(s,0)))),Q=y(Mr(l,0,d)),Q=y(Bi(l,0,y(at-y(Q+y(vu(l,0,d)))),d,c))):Q=y(Ae),O=_t(k)|0,M=_t(Q)|0;do if(O^M&&(Ge=y(h[l+396>>2]),!(_t(Ge)|0)))if(O){k=y(q+y(y(Q-se)*Ge));break}else{at=y(se+y(y(k-q)/Ge)),Q=M?at:Q;break}while(0);M=_t(k)|0,O=_t(Q)|0,M|O&&(Ue=(M^1)&1,f=c>y(0)&((f|0)!=0&M),k=Fe?k:f?c:k,fa(l,k,Q,m,Fe?Ue:f?2:Ue,M&(O^1)&1,k,Q,0,3623,B)|0,k=y(h[l+908>>2]),k=y(k+y(ln(l,2,c))),Q=y(h[l+912>>2]),Q=y(Q+y(ln(l,0,c)))),fa(l,k,Q,m,1,1,k,Q,1,3635,B)|0,sr(l,et)|0&&!(gi(l,et)|0)?(Ue=n[976+(et<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(at-y(h[l+908+(Ue<<2)>>2])),at=y(at-y(yn(s,et))),at=y(at-y(re(l,et,c))),at=y(at-y(vu(l,et,Fe?c:d))),h[l+400+(n[1040+(et<<2)>>2]<<2)>>2]=at):Xe=21;do if((Xe|0)==21){if(!(gi(l,et)|0)&&(n[s+8>>2]|0)==1){Ue=n[976+(et<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(y(at-y(h[l+908+(Ue<<2)>>2]))*y(.5)),h[l+400+(n[1040+(et<<2)>>2]<<2)>>2]=at;break}!(gi(l,et)|0)&&(n[s+8>>2]|0)==2&&(Ue=n[976+(et<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(at-y(h[l+908+(Ue<<2)>>2])),h[l+400+(n[1040+(et<<2)>>2]<<2)>>2]=at)}while(0);sr(l,Oe)|0&&!(gi(l,Oe)|0)?(Ue=n[976+(Oe<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(at-y(h[l+908+(Ue<<2)>>2])),at=y(at-y(yn(s,Oe))),at=y(at-y(re(l,Oe,c))),at=y(at-y(vu(l,Oe,Fe?d:c))),h[l+400+(n[1040+(Oe<<2)>>2]<<2)>>2]=at):Xe=30;do if((Xe|0)==30&&!(gi(l,Oe)|0)){if((ha(s,l)|0)==2){Ue=n[976+(Oe<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(y(at-y(h[l+908+(Ue<<2)>>2]))*y(.5)),h[l+400+(n[1040+(Oe<<2)>>2]<<2)>>2]=at;break}Ue=(ha(s,l)|0)==3,Ue^(n[s+28>>2]|0)==2&&(Ue=n[976+(Oe<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(at-y(h[l+908+(Ue<<2)>>2])),h[l+400+(n[1040+(Oe<<2)>>2]<<2)>>2]=at)}while(0)}function Cp(s,l,c){s=s|0,l=l|0,c=c|0;var f=Ze,d=0;d=n[976+(c<<2)>>2]|0,f=y(h[l+908+(d<<2)>>2]),f=y(y(h[s+908+(d<<2)>>2])-f),f=y(f-y(h[l+400+(n[1040+(c<<2)>>2]<<2)>>2])),h[l+400+(n[1e3+(c<<2)>>2]<<2)>>2]=f}function OA(s){return s=s|0,(s|1|0)==1|0}function Iw(s){s=s|0;var l=Ze;switch(n[s+56>>2]|0){case 0:case 3:{l=y(h[s+40>>2]),l>y(0)&((_t(l)|0)^1)?s=o[(n[s+976>>2]|0)+2>>0]|0?1056:992:s=1056;break}default:s=s+52|0}return s|0}function Bw(s,l){return s=s|0,l=l|0,(o[s+l>>0]|0)!=0|0}function sr(s,l){return s=s|0,l=l|0,s=s+132|0,he(l)|0&&(n[(Fn(s,5,948)|0)+4>>2]|0)!=0?s=1:s=(n[(Fn(s,n[1e3+(l<<2)>>2]|0,948)|0)+4>>2]|0)!=0,s|0}function vu(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0;return s=s+132|0,he(l)|0&&(f=Fn(s,5,948)|0,(n[f+4>>2]|0)!=0)?d=4:(f=Fn(s,n[1e3+(l<<2)>>2]|0,948)|0,n[f+4>>2]|0?d=4:c=y(0)),(d|0)==4&&(c=y(Gr(f,c))),y(c)}function Mm(s,l,c){return s=s|0,l=l|0,c=y(c),gi(s,l)|0?c=y(Mr(s,l,c)):c=y(-y(vu(s,l,c))),y(c)}function Du(s){return s=y(s),h[v>>2]=s,n[v>>2]|0|0}function wp(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>1073741823)Tt();else{d=Vt(l<<2)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<2)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<2)}function Ig(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>2)<<2)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function UA(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-4-l|0)>>>2)<<2)),s=n[s>>2]|0,s|0&>(s)}function _A(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;if(B=s+4|0,k=n[B>>2]|0,d=k-f|0,m=d>>2,s=l+(m<<2)|0,s>>>0<c>>>0){f=k;do n[f>>2]=n[s>>2],s=s+4|0,f=(n[B>>2]|0)+4|0,n[B>>2]=f;while(s>>>0<c>>>0)}m|0&&Mw(k+(0-m<<2)|0,l|0,d|0)|0}function Bg(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0;return k=l+4|0,Q=n[k>>2]|0,d=n[s>>2]|0,B=c,m=B-d|0,f=Q+(0-(m>>2)<<2)|0,n[k>>2]=f,(m|0)>0&&Dr(f|0,d|0,m|0)|0,d=s+4|0,m=l+8|0,f=(n[d>>2]|0)-B|0,(f|0)>0&&(Dr(n[m>>2]|0,c|0,f|0)|0,n[m>>2]=(n[m>>2]|0)+(f>>>2<<2)),B=n[s>>2]|0,n[s>>2]=n[k>>2],n[k>>2]=B,B=n[d>>2]|0,n[d>>2]=n[m>>2],n[m>>2]=B,B=s+8|0,c=l+12|0,s=n[B>>2]|0,n[B>>2]=n[c>>2],n[c>>2]=s,n[l>>2]=n[k>>2],Q|0}function vw(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;if(B=n[l>>2]|0,m=n[c>>2]|0,(B|0)!=(m|0)){d=s+8|0,c=((m+-4-B|0)>>>2)+1|0,s=B,f=n[d>>2]|0;do n[f>>2]=n[s>>2],f=(n[d>>2]|0)+4|0,n[d>>2]=f,s=s+4|0;while((s|0)!=(m|0));n[l>>2]=B+(c<<2)}}function Om(){dc()}function ga(){var s=0;return s=Vt(4)|0,HA(s),s|0}function HA(s){s=s|0,n[s>>2]=ys()|0}function Sc(s){s=s|0,s|0&&(vg(s),gt(s))}function vg(s){s=s|0,tt(n[s>>2]|0)}function Um(s,l,c){s=s|0,l=l|0,c=c|0,Ga(n[s>>2]|0,l,c)}function fo(s,l){s=s|0,l=y(l),pa(n[s>>2]|0,l)}function Wv(s,l){return s=s|0,l=l|0,Bw(n[s>>2]|0,l)|0}function Dw(){var s=0;return s=Vt(8)|0,Vv(s,0),s|0}function Vv(s,l){s=s|0,l=l|0,l?l=Ci(n[l>>2]|0)|0:l=co()|0,n[s>>2]=l,n[s+4>>2]=0,xi(l,s)}function pF(s){s=s|0;var l=0;return l=Vt(8)|0,Vv(l,s),l|0}function Kv(s){s=s|0,s|0&&(Pu(s),gt(s))}function Pu(s){s=s|0;var l=0;la(n[s>>2]|0),l=s+4|0,s=n[l>>2]|0,n[l>>2]=0,s|0&&(jA(s),gt(s))}function jA(s){s=s|0,qA(s)}function qA(s){s=s|0,s=n[s>>2]|0,s|0&&PA(s|0)}function Pw(s){return s=s|0,jo(s)|0}function _m(s){s=s|0;var l=0,c=0;c=s+4|0,l=n[c>>2]|0,n[c>>2]=0,l|0&&(jA(l),gt(l)),_s(n[s>>2]|0)}function hF(s,l){s=s|0,l=l|0,Zr(n[s>>2]|0,n[l>>2]|0)}function gF(s,l){s=s|0,l=l|0,ca(n[s>>2]|0,l)}function Jv(s,l,c){s=s|0,l=l|0,c=+c,yu(n[s>>2]|0,l,y(c))}function zv(s,l,c){s=s|0,l=l|0,c=+c,Es(n[s>>2]|0,l,y(c))}function Sw(s,l){s=s|0,l=l|0,gu(n[s>>2]|0,l)}function Su(s,l){s=s|0,l=l|0,du(n[s>>2]|0,l)}function dF(s,l){s=s|0,l=l|0,QA(n[s>>2]|0,l)}function mF(s,l){s=s|0,l=l|0,bA(n[s>>2]|0,l)}function Ip(s,l){s=s|0,l=l|0,yc(n[s>>2]|0,l)}function yF(s,l){s=s|0,l=l|0,up(n[s>>2]|0,l)}function Xv(s,l,c){s=s|0,l=l|0,c=+c,Cc(n[s>>2]|0,l,y(c))}function GA(s,l,c){s=s|0,l=l|0,c=+c,G(n[s>>2]|0,l,y(c))}function EF(s,l){s=s|0,l=l|0,wl(n[s>>2]|0,l)}function CF(s,l){s=s|0,l=l|0,og(n[s>>2]|0,l)}function Zv(s,l){s=s|0,l=l|0,Ap(n[s>>2]|0,l)}function xw(s,l){s=s|0,l=+l,FA(n[s>>2]|0,y(l))}function bw(s,l){s=s|0,l=+l,Ha(n[s>>2]|0,y(l))}function wF(s,l){s=s|0,l=+l,Gi(n[s>>2]|0,y(l))}function IF(s,l){s=s|0,l=+l,Hs(n[s>>2]|0,y(l))}function Dl(s,l){s=s|0,l=+l,mu(n[s>>2]|0,y(l))}function kw(s,l){s=s|0,l=+l,mw(n[s>>2]|0,y(l))}function BF(s,l){s=s|0,l=+l,TA(n[s>>2]|0,y(l))}function YA(s){s=s|0,fp(n[s>>2]|0)}function Hm(s,l){s=s|0,l=+l,Cs(n[s>>2]|0,y(l))}function xu(s,l){s=s|0,l=+l,cg(n[s>>2]|0,y(l))}function Qw(s){s=s|0,ug(n[s>>2]|0)}function Fw(s,l){s=s|0,l=+l,pp(n[s>>2]|0,y(l))}function vF(s,l){s=s|0,l=+l,Ic(n[s>>2]|0,y(l))}function $v(s,l){s=s|0,l=+l,Sm(n[s>>2]|0,y(l))}function WA(s,l){s=s|0,l=+l,fg(n[s>>2]|0,y(l))}function eD(s,l){s=s|0,l=+l,Cu(n[s>>2]|0,y(l))}function jm(s,l){s=s|0,l=+l,xm(n[s>>2]|0,y(l))}function tD(s,l){s=s|0,l=+l,wu(n[s>>2]|0,y(l))}function rD(s,l){s=s|0,l=+l,yw(n[s>>2]|0,y(l))}function qm(s,l){s=s|0,l=+l,Aa(n[s>>2]|0,y(l))}function nD(s,l,c){s=s|0,l=l|0,c=+c,Eu(n[s>>2]|0,l,y(c))}function DF(s,l,c){s=s|0,l=l|0,c=+c,bi(n[s>>2]|0,l,y(c))}function P(s,l,c){s=s|0,l=l|0,c=+c,wc(n[s>>2]|0,l,y(c))}function D(s){return s=s|0,sg(n[s>>2]|0)|0}function R(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;f=C,C=C+16|0,d=f,Ec(d,n[l>>2]|0,c),j(s,d),C=f}function j(s,l){s=s|0,l=l|0,Y(s,n[l+4>>2]|0,+y(h[l>>2]))}function Y(s,l,c){s=s|0,l=l|0,c=+c,n[s>>2]=l,E[s+8>>3]=c}function fe(s){return s=s|0,ig(n[s>>2]|0)|0}function ve(s){return s=s|0,uo(n[s>>2]|0)|0}function vt(s){return s=s|0,mc(n[s>>2]|0)|0}function wt(s){return s=s|0,kA(n[s>>2]|0)|0}function bt(s){return s=s|0,Pm(n[s>>2]|0)|0}function _r(s){return s=s|0,ng(n[s>>2]|0)|0}function is(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;f=C,C=C+16|0,d=f,Dt(d,n[l>>2]|0,c),j(s,d),C=f}function di(s){return s=s|0,$n(n[s>>2]|0)|0}function po(s){return s=s|0,ag(n[s>>2]|0)|0}function VA(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,ua(f,n[l>>2]|0),j(s,f),C=c}function Yo(s){return s=s|0,+ +y(qi(n[s>>2]|0))}function rt(s){return s=s|0,+ +y(es(n[s>>2]|0))}function Ke(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,Br(f,n[l>>2]|0),j(s,f),C=c}function At(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,Ag(f,n[l>>2]|0),j(s,f),C=c}function Wt(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,Ct(f,n[l>>2]|0),j(s,f),C=c}function vr(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,pg(f,n[l>>2]|0),j(s,f),C=c}function Sn(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,hg(f,n[l>>2]|0),j(s,f),C=c}function Fr(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,bm(f,n[l>>2]|0),j(s,f),C=c}function xn(s){return s=s|0,+ +y(Bc(n[s>>2]|0))}function ai(s,l){return s=s|0,l=l|0,+ +y(lg(n[s>>2]|0,l))}function en(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;f=C,C=C+16|0,d=f,ct(d,n[l>>2]|0,c),j(s,d),C=f}function ho(s,l,c){s=s|0,l=l|0,c=c|0,nr(n[s>>2]|0,n[l>>2]|0,c)}function PF(s,l){s=s|0,l=l|0,ms(n[s>>2]|0,n[l>>2]|0)}function sve(s){return s=s|0,wi(n[s>>2]|0)|0}function ove(s){return s=s|0,s=pt(n[s>>2]|0)|0,s?s=Pw(s)|0:s=0,s|0}function ave(s,l){return s=s|0,l=l|0,s=gs(n[s>>2]|0,l)|0,s?s=Pw(s)|0:s=0,s|0}function lve(s,l){s=s|0,l=l|0;var c=0,f=0;f=Vt(4)|0,$G(f,l),c=s+4|0,l=n[c>>2]|0,n[c>>2]=f,l|0&&(jA(l),gt(l)),It(n[s>>2]|0,1)}function $G(s,l){s=s|0,l=l|0,Cve(s,l)}function cve(s,l,c,f,d,m){s=s|0,l=l|0,c=y(c),f=f|0,d=y(d),m=m|0;var B=0,k=0;B=C,C=C+16|0,k=B,uve(k,jo(l)|0,+c,f,+d,m),h[s>>2]=y(+E[k>>3]),h[s+4>>2]=y(+E[k+8>>3]),C=B}function uve(s,l,c,f,d,m){s=s|0,l=l|0,c=+c,f=f|0,d=+d,m=m|0;var B=0,k=0,Q=0,O=0,M=0;B=C,C=C+32|0,M=B+8|0,O=B+20|0,Q=B,k=B+16|0,E[M>>3]=c,n[O>>2]=f,E[Q>>3]=d,n[k>>2]=m,Ave(s,n[l+4>>2]|0,M,O,Q,k),C=B}function Ave(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0;B=C,C=C+16|0,k=B,Va(k),l=da(l)|0,fve(s,l,+E[c>>3],n[f>>2]|0,+E[d>>3],n[m>>2]|0),Ka(k),C=B}function da(s){return s=s|0,n[s>>2]|0}function fve(s,l,c,f,d,m){s=s|0,l=l|0,c=+c,f=f|0,d=+d,m=m|0;var B=0;B=Pl(pve()|0)|0,c=+KA(c),f=SF(f)|0,d=+KA(d),hve(s,hi(0,B|0,l|0,+c,f|0,+d,SF(m)|0)|0)}function pve(){var s=0;return o[7608]|0||(yve(9120),s=7608,n[s>>2]=1,n[s+4>>2]=0),9120}function Pl(s){return s=s|0,n[s+8>>2]|0}function KA(s){return s=+s,+ +xF(s)}function SF(s){return s=s|0,t5(s)|0}function hve(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;d=C,C=C+32|0,c=d,f=l,f&1?(gve(c,0),ii(f|0,c|0)|0,dve(s,c),mve(c)):(n[s>>2]=n[l>>2],n[s+4>>2]=n[l+4>>2],n[s+8>>2]=n[l+8>>2],n[s+12>>2]=n[l+12>>2]),C=d}function gve(s,l){s=s|0,l=l|0,e5(s,l),n[s+8>>2]=0,o[s+24>>0]=0}function dve(s,l){s=s|0,l=l|0,l=l+8|0,n[s>>2]=n[l>>2],n[s+4>>2]=n[l+4>>2],n[s+8>>2]=n[l+8>>2],n[s+12>>2]=n[l+12>>2]}function mve(s){s=s|0,o[s+24>>0]=0}function e5(s,l){s=s|0,l=l|0,n[s>>2]=l}function t5(s){return s=s|0,s|0}function xF(s){return s=+s,+s}function yve(s){s=s|0,Sl(s,Eve()|0,4)}function Eve(){return 1064}function Sl(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c,n[s+8>>2]=cp(l|0,c+1|0)|0}function Cve(s,l){s=s|0,l=l|0,l=n[l>>2]|0,n[s>>2]=l,yl(l|0)}function wve(s){s=s|0;var l=0,c=0;c=s+4|0,l=n[c>>2]|0,n[c>>2]=0,l|0&&(jA(l),gt(l)),It(n[s>>2]|0,0)}function Ive(s){s=s|0,Rt(n[s>>2]|0)}function Bve(s){return s=s|0,er(n[s>>2]|0)|0}function vve(s,l,c,f){s=s|0,l=+l,c=+c,f=f|0,vc(n[s>>2]|0,y(l),y(c),f)}function Dve(s){return s=s|0,+ +y(Il(n[s>>2]|0))}function Pve(s){return s=s|0,+ +y(gg(n[s>>2]|0))}function Sve(s){return s=s|0,+ +y(Iu(n[s>>2]|0))}function xve(s){return s=s|0,+ +y(RA(n[s>>2]|0))}function bve(s){return s=s|0,+ +y(hp(n[s>>2]|0))}function kve(s){return s=s|0,+ +y(ja(n[s>>2]|0))}function Qve(s,l){s=s|0,l=l|0,E[s>>3]=+y(Il(n[l>>2]|0)),E[s+8>>3]=+y(gg(n[l>>2]|0)),E[s+16>>3]=+y(Iu(n[l>>2]|0)),E[s+24>>3]=+y(RA(n[l>>2]|0)),E[s+32>>3]=+y(hp(n[l>>2]|0)),E[s+40>>3]=+y(ja(n[l>>2]|0))}function Fve(s,l){return s=s|0,l=l|0,+ +y(dg(n[s>>2]|0,l))}function Tve(s,l){return s=s|0,l=l|0,+ +y(gp(n[s>>2]|0,l))}function Rve(s,l){return s=s|0,l=l|0,+ +y(qo(n[s>>2]|0,l))}function Nve(){return Pn()|0}function Lve(){Mve(),Ove(),Uve(),_ve(),Hve(),jve()}function Mve(){HNe(11713,4938,1)}function Ove(){oNe(10448)}function Uve(){HRe(10408)}function _ve(){uRe(10324)}function Hve(){yFe(10096)}function jve(){qve(9132)}function qve(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0,at=0,Ue=0,qe=0,Lt=0,Or=0,or=0,Xt=0,Pr=0,Nr=0,ir=0,bn=0,go=0,mo=0,yo=0,ya=0,Qp=0,Fp=0,xl=0,Tp=0,Fu=0,Tu=0,Rp=0,Np=0,Lp=0,Xr=0,bl=0,Mp=0,bc=0,Op=0,Up=0,Ru=0,Nu=0,kc=0,qs=0,za=0,Wo=0,kl=0,rf=0,nf=0,Lu=0,sf=0,of=0,Gs=0,vs=0,Ql=0,Tn=0,af=0,Eo=0,Qc=0,Co=0,Fc=0,lf=0,cf=0,Tc=0,Ys=0,Fl=0,uf=0,Af=0,ff=0,br=0,Jn=0,Ds=0,wo=0,Ws=0,Tr=0,ur=0,Tl=0;l=C,C=C+672|0,c=l+656|0,Tl=l+648|0,ur=l+640|0,Tr=l+632|0,Ws=l+624|0,wo=l+616|0,Ds=l+608|0,Jn=l+600|0,br=l+592|0,ff=l+584|0,Af=l+576|0,uf=l+568|0,Fl=l+560|0,Ys=l+552|0,Tc=l+544|0,cf=l+536|0,lf=l+528|0,Fc=l+520|0,Co=l+512|0,Qc=l+504|0,Eo=l+496|0,af=l+488|0,Tn=l+480|0,Ql=l+472|0,vs=l+464|0,Gs=l+456|0,of=l+448|0,sf=l+440|0,Lu=l+432|0,nf=l+424|0,rf=l+416|0,kl=l+408|0,Wo=l+400|0,za=l+392|0,qs=l+384|0,kc=l+376|0,Nu=l+368|0,Ru=l+360|0,Up=l+352|0,Op=l+344|0,bc=l+336|0,Mp=l+328|0,bl=l+320|0,Xr=l+312|0,Lp=l+304|0,Np=l+296|0,Rp=l+288|0,Tu=l+280|0,Fu=l+272|0,Tp=l+264|0,xl=l+256|0,Fp=l+248|0,Qp=l+240|0,ya=l+232|0,yo=l+224|0,mo=l+216|0,go=l+208|0,bn=l+200|0,ir=l+192|0,Nr=l+184|0,Pr=l+176|0,Xt=l+168|0,or=l+160|0,Or=l+152|0,Lt=l+144|0,qe=l+136|0,Ue=l+128|0,at=l+120|0,Xe=l+112|0,et=l+104|0,Fe=l+96|0,Oe=l+88|0,Ge=l+80|0,se=l+72|0,q=l+64|0,M=l+56|0,O=l+48|0,Q=l+40|0,k=l+32|0,B=l+24|0,m=l+16|0,d=l+8|0,f=l,Gve(s,3646),Yve(s,3651,2)|0,Wve(s,3665,2)|0,Vve(s,3682,18)|0,n[Tl>>2]=19,n[Tl+4>>2]=0,n[c>>2]=n[Tl>>2],n[c+4>>2]=n[Tl+4>>2],Tw(s,3690,c)|0,n[ur>>2]=1,n[ur+4>>2]=0,n[c>>2]=n[ur>>2],n[c+4>>2]=n[ur+4>>2],Kve(s,3696,c)|0,n[Tr>>2]=2,n[Tr+4>>2]=0,n[c>>2]=n[Tr>>2],n[c+4>>2]=n[Tr+4>>2],bu(s,3706,c)|0,n[Ws>>2]=1,n[Ws+4>>2]=0,n[c>>2]=n[Ws>>2],n[c+4>>2]=n[Ws+4>>2],Dg(s,3722,c)|0,n[wo>>2]=2,n[wo+4>>2]=0,n[c>>2]=n[wo>>2],n[c+4>>2]=n[wo+4>>2],Dg(s,3734,c)|0,n[Ds>>2]=3,n[Ds+4>>2]=0,n[c>>2]=n[Ds>>2],n[c+4>>2]=n[Ds+4>>2],bu(s,3753,c)|0,n[Jn>>2]=4,n[Jn+4>>2]=0,n[c>>2]=n[Jn>>2],n[c+4>>2]=n[Jn+4>>2],bu(s,3769,c)|0,n[br>>2]=5,n[br+4>>2]=0,n[c>>2]=n[br>>2],n[c+4>>2]=n[br+4>>2],bu(s,3783,c)|0,n[ff>>2]=6,n[ff+4>>2]=0,n[c>>2]=n[ff>>2],n[c+4>>2]=n[ff+4>>2],bu(s,3796,c)|0,n[Af>>2]=7,n[Af+4>>2]=0,n[c>>2]=n[Af>>2],n[c+4>>2]=n[Af+4>>2],bu(s,3813,c)|0,n[uf>>2]=8,n[uf+4>>2]=0,n[c>>2]=n[uf>>2],n[c+4>>2]=n[uf+4>>2],bu(s,3825,c)|0,n[Fl>>2]=3,n[Fl+4>>2]=0,n[c>>2]=n[Fl>>2],n[c+4>>2]=n[Fl+4>>2],Dg(s,3843,c)|0,n[Ys>>2]=4,n[Ys+4>>2]=0,n[c>>2]=n[Ys>>2],n[c+4>>2]=n[Ys+4>>2],Dg(s,3853,c)|0,n[Tc>>2]=9,n[Tc+4>>2]=0,n[c>>2]=n[Tc>>2],n[c+4>>2]=n[Tc+4>>2],bu(s,3870,c)|0,n[cf>>2]=10,n[cf+4>>2]=0,n[c>>2]=n[cf>>2],n[c+4>>2]=n[cf+4>>2],bu(s,3884,c)|0,n[lf>>2]=11,n[lf+4>>2]=0,n[c>>2]=n[lf>>2],n[c+4>>2]=n[lf+4>>2],bu(s,3896,c)|0,n[Fc>>2]=1,n[Fc+4>>2]=0,n[c>>2]=n[Fc>>2],n[c+4>>2]=n[Fc+4>>2],Is(s,3907,c)|0,n[Co>>2]=2,n[Co+4>>2]=0,n[c>>2]=n[Co>>2],n[c+4>>2]=n[Co+4>>2],Is(s,3915,c)|0,n[Qc>>2]=3,n[Qc+4>>2]=0,n[c>>2]=n[Qc>>2],n[c+4>>2]=n[Qc+4>>2],Is(s,3928,c)|0,n[Eo>>2]=4,n[Eo+4>>2]=0,n[c>>2]=n[Eo>>2],n[c+4>>2]=n[Eo+4>>2],Is(s,3948,c)|0,n[af>>2]=5,n[af+4>>2]=0,n[c>>2]=n[af>>2],n[c+4>>2]=n[af+4>>2],Is(s,3960,c)|0,n[Tn>>2]=6,n[Tn+4>>2]=0,n[c>>2]=n[Tn>>2],n[c+4>>2]=n[Tn+4>>2],Is(s,3974,c)|0,n[Ql>>2]=7,n[Ql+4>>2]=0,n[c>>2]=n[Ql>>2],n[c+4>>2]=n[Ql+4>>2],Is(s,3983,c)|0,n[vs>>2]=20,n[vs+4>>2]=0,n[c>>2]=n[vs>>2],n[c+4>>2]=n[vs+4>>2],Tw(s,3999,c)|0,n[Gs>>2]=8,n[Gs+4>>2]=0,n[c>>2]=n[Gs>>2],n[c+4>>2]=n[Gs+4>>2],Is(s,4012,c)|0,n[of>>2]=9,n[of+4>>2]=0,n[c>>2]=n[of>>2],n[c+4>>2]=n[of+4>>2],Is(s,4022,c)|0,n[sf>>2]=21,n[sf+4>>2]=0,n[c>>2]=n[sf>>2],n[c+4>>2]=n[sf+4>>2],Tw(s,4039,c)|0,n[Lu>>2]=10,n[Lu+4>>2]=0,n[c>>2]=n[Lu>>2],n[c+4>>2]=n[Lu+4>>2],Is(s,4053,c)|0,n[nf>>2]=11,n[nf+4>>2]=0,n[c>>2]=n[nf>>2],n[c+4>>2]=n[nf+4>>2],Is(s,4065,c)|0,n[rf>>2]=12,n[rf+4>>2]=0,n[c>>2]=n[rf>>2],n[c+4>>2]=n[rf+4>>2],Is(s,4084,c)|0,n[kl>>2]=13,n[kl+4>>2]=0,n[c>>2]=n[kl>>2],n[c+4>>2]=n[kl+4>>2],Is(s,4097,c)|0,n[Wo>>2]=14,n[Wo+4>>2]=0,n[c>>2]=n[Wo>>2],n[c+4>>2]=n[Wo+4>>2],Is(s,4117,c)|0,n[za>>2]=15,n[za+4>>2]=0,n[c>>2]=n[za>>2],n[c+4>>2]=n[za+4>>2],Is(s,4129,c)|0,n[qs>>2]=16,n[qs+4>>2]=0,n[c>>2]=n[qs>>2],n[c+4>>2]=n[qs+4>>2],Is(s,4148,c)|0,n[kc>>2]=17,n[kc+4>>2]=0,n[c>>2]=n[kc>>2],n[c+4>>2]=n[kc+4>>2],Is(s,4161,c)|0,n[Nu>>2]=18,n[Nu+4>>2]=0,n[c>>2]=n[Nu>>2],n[c+4>>2]=n[Nu+4>>2],Is(s,4181,c)|0,n[Ru>>2]=5,n[Ru+4>>2]=0,n[c>>2]=n[Ru>>2],n[c+4>>2]=n[Ru+4>>2],Dg(s,4196,c)|0,n[Up>>2]=6,n[Up+4>>2]=0,n[c>>2]=n[Up>>2],n[c+4>>2]=n[Up+4>>2],Dg(s,4206,c)|0,n[Op>>2]=7,n[Op+4>>2]=0,n[c>>2]=n[Op>>2],n[c+4>>2]=n[Op+4>>2],Dg(s,4217,c)|0,n[bc>>2]=3,n[bc+4>>2]=0,n[c>>2]=n[bc>>2],n[c+4>>2]=n[bc+4>>2],JA(s,4235,c)|0,n[Mp>>2]=1,n[Mp+4>>2]=0,n[c>>2]=n[Mp>>2],n[c+4>>2]=n[Mp+4>>2],bF(s,4251,c)|0,n[bl>>2]=4,n[bl+4>>2]=0,n[c>>2]=n[bl>>2],n[c+4>>2]=n[bl+4>>2],JA(s,4263,c)|0,n[Xr>>2]=5,n[Xr+4>>2]=0,n[c>>2]=n[Xr>>2],n[c+4>>2]=n[Xr+4>>2],JA(s,4279,c)|0,n[Lp>>2]=6,n[Lp+4>>2]=0,n[c>>2]=n[Lp>>2],n[c+4>>2]=n[Lp+4>>2],JA(s,4293,c)|0,n[Np>>2]=7,n[Np+4>>2]=0,n[c>>2]=n[Np>>2],n[c+4>>2]=n[Np+4>>2],JA(s,4306,c)|0,n[Rp>>2]=8,n[Rp+4>>2]=0,n[c>>2]=n[Rp>>2],n[c+4>>2]=n[Rp+4>>2],JA(s,4323,c)|0,n[Tu>>2]=9,n[Tu+4>>2]=0,n[c>>2]=n[Tu>>2],n[c+4>>2]=n[Tu+4>>2],JA(s,4335,c)|0,n[Fu>>2]=2,n[Fu+4>>2]=0,n[c>>2]=n[Fu>>2],n[c+4>>2]=n[Fu+4>>2],bF(s,4353,c)|0,n[Tp>>2]=12,n[Tp+4>>2]=0,n[c>>2]=n[Tp>>2],n[c+4>>2]=n[Tp+4>>2],Pg(s,4363,c)|0,n[xl>>2]=1,n[xl+4>>2]=0,n[c>>2]=n[xl>>2],n[c+4>>2]=n[xl+4>>2],zA(s,4376,c)|0,n[Fp>>2]=2,n[Fp+4>>2]=0,n[c>>2]=n[Fp>>2],n[c+4>>2]=n[Fp+4>>2],zA(s,4388,c)|0,n[Qp>>2]=13,n[Qp+4>>2]=0,n[c>>2]=n[Qp>>2],n[c+4>>2]=n[Qp+4>>2],Pg(s,4402,c)|0,n[ya>>2]=14,n[ya+4>>2]=0,n[c>>2]=n[ya>>2],n[c+4>>2]=n[ya+4>>2],Pg(s,4411,c)|0,n[yo>>2]=15,n[yo+4>>2]=0,n[c>>2]=n[yo>>2],n[c+4>>2]=n[yo+4>>2],Pg(s,4421,c)|0,n[mo>>2]=16,n[mo+4>>2]=0,n[c>>2]=n[mo>>2],n[c+4>>2]=n[mo+4>>2],Pg(s,4433,c)|0,n[go>>2]=17,n[go+4>>2]=0,n[c>>2]=n[go>>2],n[c+4>>2]=n[go+4>>2],Pg(s,4446,c)|0,n[bn>>2]=18,n[bn+4>>2]=0,n[c>>2]=n[bn>>2],n[c+4>>2]=n[bn+4>>2],Pg(s,4458,c)|0,n[ir>>2]=3,n[ir+4>>2]=0,n[c>>2]=n[ir>>2],n[c+4>>2]=n[ir+4>>2],zA(s,4471,c)|0,n[Nr>>2]=1,n[Nr+4>>2]=0,n[c>>2]=n[Nr>>2],n[c+4>>2]=n[Nr+4>>2],iD(s,4486,c)|0,n[Pr>>2]=10,n[Pr+4>>2]=0,n[c>>2]=n[Pr>>2],n[c+4>>2]=n[Pr+4>>2],JA(s,4496,c)|0,n[Xt>>2]=11,n[Xt+4>>2]=0,n[c>>2]=n[Xt>>2],n[c+4>>2]=n[Xt+4>>2],JA(s,4508,c)|0,n[or>>2]=3,n[or+4>>2]=0,n[c>>2]=n[or>>2],n[c+4>>2]=n[or+4>>2],bF(s,4519,c)|0,n[Or>>2]=4,n[Or+4>>2]=0,n[c>>2]=n[Or>>2],n[c+4>>2]=n[Or+4>>2],Jve(s,4530,c)|0,n[Lt>>2]=19,n[Lt+4>>2]=0,n[c>>2]=n[Lt>>2],n[c+4>>2]=n[Lt+4>>2],zve(s,4542,c)|0,n[qe>>2]=12,n[qe+4>>2]=0,n[c>>2]=n[qe>>2],n[c+4>>2]=n[qe+4>>2],Xve(s,4554,c)|0,n[Ue>>2]=13,n[Ue+4>>2]=0,n[c>>2]=n[Ue>>2],n[c+4>>2]=n[Ue+4>>2],Zve(s,4568,c)|0,n[at>>2]=2,n[at+4>>2]=0,n[c>>2]=n[at>>2],n[c+4>>2]=n[at+4>>2],$ve(s,4578,c)|0,n[Xe>>2]=20,n[Xe+4>>2]=0,n[c>>2]=n[Xe>>2],n[c+4>>2]=n[Xe+4>>2],eDe(s,4587,c)|0,n[et>>2]=22,n[et+4>>2]=0,n[c>>2]=n[et>>2],n[c+4>>2]=n[et+4>>2],Tw(s,4602,c)|0,n[Fe>>2]=23,n[Fe+4>>2]=0,n[c>>2]=n[Fe>>2],n[c+4>>2]=n[Fe+4>>2],Tw(s,4619,c)|0,n[Oe>>2]=14,n[Oe+4>>2]=0,n[c>>2]=n[Oe>>2],n[c+4>>2]=n[Oe+4>>2],tDe(s,4629,c)|0,n[Ge>>2]=1,n[Ge+4>>2]=0,n[c>>2]=n[Ge>>2],n[c+4>>2]=n[Ge+4>>2],rDe(s,4637,c)|0,n[se>>2]=4,n[se+4>>2]=0,n[c>>2]=n[se>>2],n[c+4>>2]=n[se+4>>2],zA(s,4653,c)|0,n[q>>2]=5,n[q+4>>2]=0,n[c>>2]=n[q>>2],n[c+4>>2]=n[q+4>>2],zA(s,4669,c)|0,n[M>>2]=6,n[M+4>>2]=0,n[c>>2]=n[M>>2],n[c+4>>2]=n[M+4>>2],zA(s,4686,c)|0,n[O>>2]=7,n[O+4>>2]=0,n[c>>2]=n[O>>2],n[c+4>>2]=n[O+4>>2],zA(s,4701,c)|0,n[Q>>2]=8,n[Q+4>>2]=0,n[c>>2]=n[Q>>2],n[c+4>>2]=n[Q+4>>2],zA(s,4719,c)|0,n[k>>2]=9,n[k+4>>2]=0,n[c>>2]=n[k>>2],n[c+4>>2]=n[k+4>>2],zA(s,4736,c)|0,n[B>>2]=21,n[B+4>>2]=0,n[c>>2]=n[B>>2],n[c+4>>2]=n[B+4>>2],nDe(s,4754,c)|0,n[m>>2]=2,n[m+4>>2]=0,n[c>>2]=n[m>>2],n[c+4>>2]=n[m+4>>2],iD(s,4772,c)|0,n[d>>2]=3,n[d+4>>2]=0,n[c>>2]=n[d>>2],n[c+4>>2]=n[d+4>>2],iD(s,4790,c)|0,n[f>>2]=4,n[f+4>>2]=0,n[c>>2]=n[f>>2],n[c+4>>2]=n[f+4>>2],iD(s,4808,c)|0,C=l}function Gve(s,l){s=s|0,l=l|0;var c=0;c=cFe()|0,n[s>>2]=c,uFe(c,l),xp(n[s>>2]|0)}function Yve(s,l,c){return s=s|0,l=l|0,c=c|0,JQe(s,pn(l)|0,c,0),s|0}function Wve(s,l,c){return s=s|0,l=l|0,c=c|0,TQe(s,pn(l)|0,c,0),s|0}function Vve(s,l,c){return s=s|0,l=l|0,c=c|0,EQe(s,pn(l)|0,c,0),s|0}function Tw(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],nQe(s,l,d),C=f,s|0}function Kve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Oke(s,l,d),C=f,s|0}function bu(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Ike(s,l,d),C=f,s|0}function Dg(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],oke(s,l,d),C=f,s|0}function Is(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Gbe(s,l,d),C=f,s|0}function JA(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],xbe(s,l,d),C=f,s|0}function bF(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],fbe(s,l,d),C=f,s|0}function Pg(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Oxe(s,l,d),C=f,s|0}function zA(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Ixe(s,l,d),C=f,s|0}function iD(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],oxe(s,l,d),C=f,s|0}function Jve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],GSe(s,l,d),C=f,s|0}function zve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],xSe(s,l,d),C=f,s|0}function Xve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],pSe(s,l,d),C=f,s|0}function Zve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],ZPe(s,l,d),C=f,s|0}function $ve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],NPe(s,l,d),C=f,s|0}function eDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],yPe(s,l,d),C=f,s|0}function tDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],rPe(s,l,d),C=f,s|0}function rDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],ODe(s,l,d),C=f,s|0}function nDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],iDe(s,l,d),C=f,s|0}function iDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],sDe(s,c,d,1),C=f}function pn(s){return s=s|0,s|0}function sDe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=kF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=oDe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,aDe(m,f)|0,f),C=d}function kF(){var s=0,l=0;if(o[7616]|0||(i5(9136),tr(24,9136,U|0)|0,l=7616,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9136)|0)){s=9136,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));i5(9136)}return 9136}function oDe(s){return s=s|0,0}function aDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=kF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],n5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(uDe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function hn(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0;B=C,C=C+32|0,se=B+24|0,q=B+20|0,Q=B+16|0,M=B+12|0,O=B+8|0,k=B+4|0,Ge=B,n[q>>2]=l,n[Q>>2]=c,n[M>>2]=f,n[O>>2]=d,n[k>>2]=m,m=s+28|0,n[Ge>>2]=n[m>>2],n[se>>2]=n[Ge>>2],lDe(s+24|0,se,q,M,O,Q,k)|0,n[m>>2]=n[n[m>>2]>>2],C=B}function lDe(s,l,c,f,d,m,B){return s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,B=B|0,s=cDe(l)|0,l=Vt(24)|0,r5(l+4|0,n[c>>2]|0,n[f>>2]|0,n[d>>2]|0,n[m>>2]|0,n[B>>2]|0),n[l>>2]=n[s>>2],n[s>>2]=l,l|0}function cDe(s){return s=s|0,n[s>>2]|0}function r5(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,n[s>>2]=l,n[s+4>>2]=c,n[s+8>>2]=f,n[s+12>>2]=d,n[s+16>>2]=m}function gr(s,l){return s=s|0,l=l|0,l|s|0}function n5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function uDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=ADe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,fDe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],n5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,pDe(s,k),hDe(k),C=O;return}}function ADe(s){return s=s|0,357913941}function fDe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function pDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function hDe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function i5(s){s=s|0,mDe(s)}function gDe(s){s=s|0,dDe(s+24|0)}function Rr(s){return s=s|0,n[s>>2]|0}function dDe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function mDe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,3,l,yDe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function Vr(){return 9228}function yDe(){return 1140}function EDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=CDe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=wDe(l,f)|0,C=c,l|0}function Kr(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,n[s>>2]=l,n[s+4>>2]=c,n[s+8>>2]=f,n[s+12>>2]=d,n[s+16>>2]=m}function CDe(s){return s=s|0,(n[(kF()|0)+24>>2]|0)+(s*12|0)|0}function wDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;return d=C,C=C+48|0,f=d,c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),tf[c&31](f,s),f=IDe(f)|0,C=d,f|0}function IDe(s){s=s|0;var l=0,c=0,f=0,d=0;return d=C,C=C+32|0,l=d+12|0,c=d,f=QF(s5()|0)|0,f?(FF(l,f),TF(c,l),BDe(s,c),s=RF(l)|0):s=vDe(s)|0,C=d,s|0}function s5(){var s=0;return o[7632]|0||(RDe(9184),tr(25,9184,U|0)|0,s=7632,n[s>>2]=1,n[s+4>>2]=0),9184}function QF(s){return s=s|0,n[s+36>>2]|0}function FF(s,l){s=s|0,l=l|0,n[s>>2]=l,n[s+4>>2]=s,n[s+8>>2]=0}function TF(s,l){s=s|0,l=l|0,n[s>>2]=n[l>>2],n[s+4>>2]=n[l+4>>2],n[s+8>>2]=0}function BDe(s,l){s=s|0,l=l|0,xDe(l,s,s+8|0,s+16|0,s+24|0,s+32|0,s+40|0)|0}function RF(s){return s=s|0,n[(n[s+4>>2]|0)+8>>2]|0}function vDe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0;Q=C,C=C+16|0,c=Q+4|0,f=Q,d=Wa(8)|0,m=d,B=Vt(48)|0,k=B,l=k+48|0;do n[k>>2]=n[s>>2],k=k+4|0,s=s+4|0;while((k|0)<(l|0));return l=m+4|0,n[l>>2]=B,k=Vt(8)|0,B=n[l>>2]|0,n[f>>2]=0,n[c>>2]=n[f>>2],o5(k,B,c),n[d>>2]=k,C=Q,m|0}function o5(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Vt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1092,n[c+12>>2]=l,n[s+4>>2]=c}function DDe(s){s=s|0,Jm(s),gt(s)}function PDe(s){s=s|0,s=n[s+12>>2]|0,s|0&>(s)}function SDe(s){s=s|0,gt(s)}function xDe(s,l,c,f,d,m,B){return s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,B=B|0,m=bDe(n[s>>2]|0,l,c,f,d,m,B)|0,B=s+4|0,n[(n[B>>2]|0)+8>>2]=m,n[(n[B>>2]|0)+8>>2]|0}function bDe(s,l,c,f,d,m,B){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,B=B|0;var k=0,Q=0;return k=C,C=C+16|0,Q=k,Va(Q),s=da(s)|0,B=kDe(s,+E[l>>3],+E[c>>3],+E[f>>3],+E[d>>3],+E[m>>3],+E[B>>3])|0,Ka(Q),C=k,B|0}function kDe(s,l,c,f,d,m,B){s=s|0,l=+l,c=+c,f=+f,d=+d,m=+m,B=+B;var k=0;return k=Pl(QDe()|0)|0,l=+KA(l),c=+KA(c),f=+KA(f),d=+KA(d),m=+KA(m),Os(0,k|0,s|0,+l,+c,+f,+d,+m,+ +KA(B))|0}function QDe(){var s=0;return o[7624]|0||(FDe(9172),s=7624,n[s>>2]=1,n[s+4>>2]=0),9172}function FDe(s){s=s|0,Sl(s,TDe()|0,6)}function TDe(){return 1112}function RDe(s){s=s|0,Bp(s)}function NDe(s){s=s|0,a5(s+24|0),l5(s+16|0)}function a5(s){s=s|0,MDe(s)}function l5(s){s=s|0,LDe(s)}function LDe(s){s=s|0;var l=0,c=0;if(l=n[s>>2]|0,l|0)do c=l,l=n[l>>2]|0,gt(c);while((l|0)!=0);n[s>>2]=0}function MDe(s){s=s|0;var l=0,c=0;if(l=n[s>>2]|0,l|0)do c=l,l=n[l>>2]|0,gt(c);while((l|0)!=0);n[s>>2]=0}function Bp(s){s=s|0;var l=0;n[s+16>>2]=0,n[s+20>>2]=0,l=s+24|0,n[l>>2]=0,n[s+28>>2]=l,n[s+36>>2]=0,o[s+40>>0]=0,o[s+41>>0]=0}function ODe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],UDe(s,c,d,0),C=f}function UDe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=NF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=_De(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,HDe(m,f)|0,f),C=d}function NF(){var s=0,l=0;if(o[7640]|0||(u5(9232),tr(26,9232,U|0)|0,l=7640,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9232)|0)){s=9232,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));u5(9232)}return 9232}function _De(s){return s=s|0,0}function HDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=NF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],c5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(jDe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function c5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function jDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=qDe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,GDe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],c5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,YDe(s,k),WDe(k),C=O;return}}function qDe(s){return s=s|0,357913941}function GDe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function YDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function WDe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function u5(s){s=s|0,JDe(s)}function VDe(s){s=s|0,KDe(s+24|0)}function KDe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function JDe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,1,l,zDe()|0,3),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function zDe(){return 1144}function XDe(s,l,c,f,d){s=s|0,l=l|0,c=+c,f=+f,d=d|0;var m=0,B=0,k=0,Q=0;m=C,C=C+16|0,B=m+8|0,k=m,Q=ZDe(s)|0,s=n[Q+4>>2]|0,n[k>>2]=n[Q>>2],n[k+4>>2]=s,n[B>>2]=n[k>>2],n[B+4>>2]=n[k+4>>2],$De(l,B,c,f,d),C=m}function ZDe(s){return s=s|0,(n[(NF()|0)+24>>2]|0)+(s*12|0)|0}function $De(s,l,c,f,d){s=s|0,l=l|0,c=+c,f=+f,d=d|0;var m=0,B=0,k=0,Q=0,O=0;O=C,C=C+16|0,B=O+2|0,k=O+1|0,Q=O,m=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(m=n[(n[s>>2]|0)+m>>2]|0),ku(B,c),c=+Qu(B,c),ku(k,f),f=+Qu(k,f),XA(Q,d),Q=ZA(Q,d)|0,D7[m&1](s,c,f,Q),C=O}function ku(s,l){s=s|0,l=+l}function Qu(s,l){return s=s|0,l=+l,+ +tPe(l)}function XA(s,l){s=s|0,l=l|0}function ZA(s,l){return s=s|0,l=l|0,ePe(l)|0}function ePe(s){return s=s|0,s|0}function tPe(s){return s=+s,+s}function rPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],nPe(s,c,d,1),C=f}function nPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=LF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=iPe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,sPe(m,f)|0,f),C=d}function LF(){var s=0,l=0;if(o[7648]|0||(f5(9268),tr(27,9268,U|0)|0,l=7648,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9268)|0)){s=9268,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));f5(9268)}return 9268}function iPe(s){return s=s|0,0}function sPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=LF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],A5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(oPe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function A5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function oPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=aPe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,lPe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],A5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,cPe(s,k),uPe(k),C=O;return}}function aPe(s){return s=s|0,357913941}function lPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function cPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function uPe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function f5(s){s=s|0,pPe(s)}function APe(s){s=s|0,fPe(s+24|0)}function fPe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function pPe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,4,l,hPe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function hPe(){return 1160}function gPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=dPe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=mPe(l,f)|0,C=c,l|0}function dPe(s){return s=s|0,(n[(LF()|0)+24>>2]|0)+(s*12|0)|0}function mPe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),p5(Ng[c&31](s)|0)|0}function p5(s){return s=s|0,s&1|0}function yPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],EPe(s,c,d,0),C=f}function EPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=MF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=CPe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,wPe(m,f)|0,f),C=d}function MF(){var s=0,l=0;if(o[7656]|0||(g5(9304),tr(28,9304,U|0)|0,l=7656,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9304)|0)){s=9304,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));g5(9304)}return 9304}function CPe(s){return s=s|0,0}function wPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=MF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],h5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(IPe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function h5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function IPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=BPe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,vPe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],h5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,DPe(s,k),PPe(k),C=O;return}}function BPe(s){return s=s|0,357913941}function vPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function DPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function PPe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function g5(s){s=s|0,bPe(s)}function SPe(s){s=s|0,xPe(s+24|0)}function xPe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function bPe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,5,l,kPe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function kPe(){return 1164}function QPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=FPe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],TPe(l,d,c),C=f}function FPe(s){return s=s|0,(n[(MF()|0)+24>>2]|0)+(s*12|0)|0}function TPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),vp(d,c),c=Dp(d,c)|0,tf[f&31](s,c),Pp(d),C=m}function vp(s,l){s=s|0,l=l|0,RPe(s,l)}function Dp(s,l){return s=s|0,l=l|0,s|0}function Pp(s){s=s|0,jA(s)}function RPe(s,l){s=s|0,l=l|0,OF(s,l)}function OF(s,l){s=s|0,l=l|0,n[s>>2]=l}function NPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],LPe(s,c,d,0),C=f}function LPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=UF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=MPe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,OPe(m,f)|0,f),C=d}function UF(){var s=0,l=0;if(o[7664]|0||(m5(9340),tr(29,9340,U|0)|0,l=7664,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9340)|0)){s=9340,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));m5(9340)}return 9340}function MPe(s){return s=s|0,0}function OPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=UF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],d5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(UPe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function d5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function UPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=_Pe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,HPe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],d5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,jPe(s,k),qPe(k),C=O;return}}function _Pe(s){return s=s|0,357913941}function HPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function jPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function qPe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function m5(s){s=s|0,WPe(s)}function GPe(s){s=s|0,YPe(s+24|0)}function YPe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function WPe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,4,l,VPe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function VPe(){return 1180}function KPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=JPe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],c=zPe(l,d,c)|0,C=f,c|0}function JPe(s){return s=s|0,(n[(UF()|0)+24>>2]|0)+(s*12|0)|0}function zPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;return m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),Sg(d,c),d=xg(d,c)|0,d=sD(NT[f&15](s,d)|0)|0,C=m,d|0}function Sg(s,l){s=s|0,l=l|0}function xg(s,l){return s=s|0,l=l|0,XPe(l)|0}function sD(s){return s=s|0,s|0}function XPe(s){return s=s|0,s|0}function ZPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],$Pe(s,c,d,0),C=f}function $Pe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=_F()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=eSe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,tSe(m,f)|0,f),C=d}function _F(){var s=0,l=0;if(o[7672]|0||(E5(9376),tr(30,9376,U|0)|0,l=7672,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9376)|0)){s=9376,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));E5(9376)}return 9376}function eSe(s){return s=s|0,0}function tSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=_F()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],y5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(rSe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function y5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function rSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=nSe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,iSe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],y5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,sSe(s,k),oSe(k),C=O;return}}function nSe(s){return s=s|0,357913941}function iSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function sSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function oSe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function E5(s){s=s|0,cSe(s)}function aSe(s){s=s|0,lSe(s+24|0)}function lSe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function cSe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,5,l,C5()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function C5(){return 1196}function uSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=ASe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=fSe(l,f)|0,C=c,l|0}function ASe(s){return s=s|0,(n[(_F()|0)+24>>2]|0)+(s*12|0)|0}function fSe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),sD(Ng[c&31](s)|0)|0}function pSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],hSe(s,c,d,1),C=f}function hSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=HF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=gSe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,dSe(m,f)|0,f),C=d}function HF(){var s=0,l=0;if(o[7680]|0||(I5(9412),tr(31,9412,U|0)|0,l=7680,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9412)|0)){s=9412,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));I5(9412)}return 9412}function gSe(s){return s=s|0,0}function dSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=HF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],w5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(mSe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function w5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function mSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=ySe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,ESe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],w5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,CSe(s,k),wSe(k),C=O;return}}function ySe(s){return s=s|0,357913941}function ESe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function CSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function wSe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function I5(s){s=s|0,vSe(s)}function ISe(s){s=s|0,BSe(s+24|0)}function BSe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function vSe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,6,l,B5()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function B5(){return 1200}function DSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=PSe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=SSe(l,f)|0,C=c,l|0}function PSe(s){return s=s|0,(n[(HF()|0)+24>>2]|0)+(s*12|0)|0}function SSe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),oD(Ng[c&31](s)|0)|0}function oD(s){return s=s|0,s|0}function xSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],bSe(s,c,d,0),C=f}function bSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=jF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=kSe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,QSe(m,f)|0,f),C=d}function jF(){var s=0,l=0;if(o[7688]|0||(D5(9448),tr(32,9448,U|0)|0,l=7688,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9448)|0)){s=9448,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));D5(9448)}return 9448}function kSe(s){return s=s|0,0}function QSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=jF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],v5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(FSe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function v5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function FSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=TSe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,RSe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],v5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,NSe(s,k),LSe(k),C=O;return}}function TSe(s){return s=s|0,357913941}function RSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function NSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function LSe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function D5(s){s=s|0,USe(s)}function MSe(s){s=s|0,OSe(s+24|0)}function OSe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function USe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,6,l,P5()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function P5(){return 1204}function _Se(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=HSe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],jSe(l,d,c),C=f}function HSe(s){return s=s|0,(n[(jF()|0)+24>>2]|0)+(s*12|0)|0}function jSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),qF(d,c),d=GF(d,c)|0,tf[f&31](s,d),C=m}function qF(s,l){s=s|0,l=l|0}function GF(s,l){return s=s|0,l=l|0,qSe(l)|0}function qSe(s){return s=s|0,s|0}function GSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],YSe(s,c,d,0),C=f}function YSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=YF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=WSe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,VSe(m,f)|0,f),C=d}function YF(){var s=0,l=0;if(o[7696]|0||(x5(9484),tr(33,9484,U|0)|0,l=7696,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9484)|0)){s=9484,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));x5(9484)}return 9484}function WSe(s){return s=s|0,0}function VSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=YF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],S5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(KSe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function S5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function KSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=JSe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,zSe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],S5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,XSe(s,k),ZSe(k),C=O;return}}function JSe(s){return s=s|0,357913941}function zSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function XSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function ZSe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function x5(s){s=s|0,txe(s)}function $Se(s){s=s|0,exe(s+24|0)}function exe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function txe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,1,l,rxe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function rxe(){return 1212}function nxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+16|0,m=d+8|0,B=d,k=ixe(s)|0,s=n[k+4>>2]|0,n[B>>2]=n[k>>2],n[B+4>>2]=s,n[m>>2]=n[B>>2],n[m+4>>2]=n[B+4>>2],sxe(l,m,c,f),C=d}function ixe(s){return s=s|0,(n[(YF()|0)+24>>2]|0)+(s*12|0)|0}function sxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;k=C,C=C+16|0,m=k+1|0,B=k,d=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(d=n[(n[s>>2]|0)+d>>2]|0),qF(m,c),m=GF(m,c)|0,Sg(B,f),B=xg(B,f)|0,_w[d&15](s,m,B),C=k}function oxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],axe(s,c,d,1),C=f}function axe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=WF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=lxe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,cxe(m,f)|0,f),C=d}function WF(){var s=0,l=0;if(o[7704]|0||(k5(9520),tr(34,9520,U|0)|0,l=7704,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9520)|0)){s=9520,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));k5(9520)}return 9520}function lxe(s){return s=s|0,0}function cxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=WF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],b5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(uxe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function b5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function uxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Axe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,fxe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],b5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,pxe(s,k),hxe(k),C=O;return}}function Axe(s){return s=s|0,357913941}function fxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function pxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function hxe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function k5(s){s=s|0,mxe(s)}function gxe(s){s=s|0,dxe(s+24|0)}function dxe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function mxe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,1,l,yxe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function yxe(){return 1224}function Exe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;return d=C,C=C+16|0,m=d+8|0,B=d,k=Cxe(s)|0,s=n[k+4>>2]|0,n[B>>2]=n[k>>2],n[B+4>>2]=s,n[m>>2]=n[B>>2],n[m+4>>2]=n[B+4>>2],f=+wxe(l,m,c),C=d,+f}function Cxe(s){return s=s|0,(n[(WF()|0)+24>>2]|0)+(s*12|0)|0}function wxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),XA(d,c),d=ZA(d,c)|0,B=+xF(+S7[f&7](s,d)),C=m,+B}function Ixe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Bxe(s,c,d,1),C=f}function Bxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=VF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=vxe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Dxe(m,f)|0,f),C=d}function VF(){var s=0,l=0;if(o[7712]|0||(F5(9556),tr(35,9556,U|0)|0,l=7712,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9556)|0)){s=9556,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));F5(9556)}return 9556}function vxe(s){return s=s|0,0}function Dxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=VF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],Q5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(Pxe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function Q5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function Pxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Sxe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,xxe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],Q5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,bxe(s,k),kxe(k),C=O;return}}function Sxe(s){return s=s|0,357913941}function xxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function bxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function kxe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function F5(s){s=s|0,Txe(s)}function Qxe(s){s=s|0,Fxe(s+24|0)}function Fxe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Txe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,5,l,Rxe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function Rxe(){return 1232}function Nxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=Lxe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],c=+Mxe(l,d),C=f,+c}function Lxe(s){return s=s|0,(n[(VF()|0)+24>>2]|0)+(s*12|0)|0}function Mxe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),+ +xF(+P7[c&15](s))}function Oxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Uxe(s,c,d,1),C=f}function Uxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=KF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=_xe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Hxe(m,f)|0,f),C=d}function KF(){var s=0,l=0;if(o[7720]|0||(R5(9592),tr(36,9592,U|0)|0,l=7720,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9592)|0)){s=9592,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));R5(9592)}return 9592}function _xe(s){return s=s|0,0}function Hxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=KF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],T5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(jxe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function T5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function jxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=qxe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,Gxe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],T5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Yxe(s,k),Wxe(k),C=O;return}}function qxe(s){return s=s|0,357913941}function Gxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Yxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Wxe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function R5(s){s=s|0,Jxe(s)}function Vxe(s){s=s|0,Kxe(s+24|0)}function Kxe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Jxe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,7,l,zxe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function zxe(){return 1276}function Xxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=Zxe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=$xe(l,f)|0,C=c,l|0}function Zxe(s){return s=s|0,(n[(KF()|0)+24>>2]|0)+(s*12|0)|0}function $xe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;return d=C,C=C+16|0,f=d,c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),tf[c&31](f,s),f=N5(f)|0,C=d,f|0}function N5(s){s=s|0;var l=0,c=0,f=0,d=0;return d=C,C=C+32|0,l=d+12|0,c=d,f=QF(L5()|0)|0,f?(FF(l,f),TF(c,l),ebe(s,c),s=RF(l)|0):s=tbe(s)|0,C=d,s|0}function L5(){var s=0;return o[7736]|0||(Abe(9640),tr(25,9640,U|0)|0,s=7736,n[s>>2]=1,n[s+4>>2]=0),9640}function ebe(s,l){s=s|0,l=l|0,sbe(l,s,s+8|0)|0}function tbe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0;return c=C,C=C+16|0,d=c+4|0,B=c,f=Wa(8)|0,l=f,k=Vt(16)|0,n[k>>2]=n[s>>2],n[k+4>>2]=n[s+4>>2],n[k+8>>2]=n[s+8>>2],n[k+12>>2]=n[s+12>>2],m=l+4|0,n[m>>2]=k,s=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],JF(s,m,d),n[f>>2]=s,C=c,l|0}function JF(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Vt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1244,n[c+12>>2]=l,n[s+4>>2]=c}function rbe(s){s=s|0,Jm(s),gt(s)}function nbe(s){s=s|0,s=n[s+12>>2]|0,s|0&>(s)}function ibe(s){s=s|0,gt(s)}function sbe(s,l,c){return s=s|0,l=l|0,c=c|0,l=obe(n[s>>2]|0,l,c)|0,c=s+4|0,n[(n[c>>2]|0)+8>>2]=l,n[(n[c>>2]|0)+8>>2]|0}function obe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;return f=C,C=C+16|0,d=f,Va(d),s=da(s)|0,c=abe(s,n[l>>2]|0,+E[c>>3])|0,Ka(d),C=f,c|0}function abe(s,l,c){s=s|0,l=l|0,c=+c;var f=0;return f=Pl(lbe()|0)|0,l=SF(l)|0,ml(0,f|0,s|0,l|0,+ +KA(c))|0}function lbe(){var s=0;return o[7728]|0||(cbe(9628),s=7728,n[s>>2]=1,n[s+4>>2]=0),9628}function cbe(s){s=s|0,Sl(s,ube()|0,2)}function ube(){return 1264}function Abe(s){s=s|0,Bp(s)}function fbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],pbe(s,c,d,1),C=f}function pbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=zF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=hbe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,gbe(m,f)|0,f),C=d}function zF(){var s=0,l=0;if(o[7744]|0||(O5(9684),tr(37,9684,U|0)|0,l=7744,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9684)|0)){s=9684,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));O5(9684)}return 9684}function hbe(s){return s=s|0,0}function gbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=zF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],M5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(dbe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function M5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function dbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=mbe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,ybe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],M5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Ebe(s,k),Cbe(k),C=O;return}}function mbe(s){return s=s|0,357913941}function ybe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Ebe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Cbe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function O5(s){s=s|0,Bbe(s)}function wbe(s){s=s|0,Ibe(s+24|0)}function Ibe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Bbe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,5,l,vbe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function vbe(){return 1280}function Dbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=Pbe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],c=Sbe(l,d,c)|0,C=f,c|0}function Pbe(s){return s=s|0,(n[(zF()|0)+24>>2]|0)+(s*12|0)|0}function Sbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return B=C,C=C+32|0,d=B,m=B+16|0,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),XA(m,c),m=ZA(m,c)|0,_w[f&15](d,s,m),m=N5(d)|0,C=B,m|0}function xbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],bbe(s,c,d,1),C=f}function bbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=XF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=kbe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Qbe(m,f)|0,f),C=d}function XF(){var s=0,l=0;if(o[7752]|0||(_5(9720),tr(38,9720,U|0)|0,l=7752,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9720)|0)){s=9720,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));_5(9720)}return 9720}function kbe(s){return s=s|0,0}function Qbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=XF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],U5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(Fbe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function U5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function Fbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Tbe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,Rbe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],U5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Nbe(s,k),Lbe(k),C=O;return}}function Tbe(s){return s=s|0,357913941}function Rbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Nbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Lbe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function _5(s){s=s|0,Ube(s)}function Mbe(s){s=s|0,Obe(s+24|0)}function Obe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Ube(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,8,l,_be()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function _be(){return 1288}function Hbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=jbe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=qbe(l,f)|0,C=c,l|0}function jbe(s){return s=s|0,(n[(XF()|0)+24>>2]|0)+(s*12|0)|0}function qbe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),t5(Ng[c&31](s)|0)|0}function Gbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Ybe(s,c,d,0),C=f}function Ybe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=ZF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=Wbe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Vbe(m,f)|0,f),C=d}function ZF(){var s=0,l=0;if(o[7760]|0||(j5(9756),tr(39,9756,U|0)|0,l=7760,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9756)|0)){s=9756,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));j5(9756)}return 9756}function Wbe(s){return s=s|0,0}function Vbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=ZF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],H5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(Kbe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function H5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function Kbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Jbe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,zbe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],H5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Xbe(s,k),Zbe(k),C=O;return}}function Jbe(s){return s=s|0,357913941}function zbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Xbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Zbe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function j5(s){s=s|0,tke(s)}function $be(s){s=s|0,eke(s+24|0)}function eke(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function tke(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,8,l,rke()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function rke(){return 1292}function nke(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=ike(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],ske(l,d,c),C=f}function ike(s){return s=s|0,(n[(ZF()|0)+24>>2]|0)+(s*12|0)|0}function ske(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),ku(d,c),c=+Qu(d,c),B7[f&31](s,c),C=m}function oke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],ake(s,c,d,0),C=f}function ake(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=$F()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=lke(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,cke(m,f)|0,f),C=d}function $F(){var s=0,l=0;if(o[7768]|0||(G5(9792),tr(40,9792,U|0)|0,l=7768,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9792)|0)){s=9792,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));G5(9792)}return 9792}function lke(s){return s=s|0,0}function cke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=$F()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],q5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(uke(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function q5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function uke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Ake(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,fke(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],q5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,pke(s,k),hke(k),C=O;return}}function Ake(s){return s=s|0,357913941}function fke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function pke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function hke(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function G5(s){s=s|0,mke(s)}function gke(s){s=s|0,dke(s+24|0)}function dke(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function mke(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,1,l,yke()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function yke(){return 1300}function Eke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=+f;var d=0,m=0,B=0,k=0;d=C,C=C+16|0,m=d+8|0,B=d,k=Cke(s)|0,s=n[k+4>>2]|0,n[B>>2]=n[k>>2],n[B+4>>2]=s,n[m>>2]=n[B>>2],n[m+4>>2]=n[B+4>>2],wke(l,m,c,f),C=d}function Cke(s){return s=s|0,(n[($F()|0)+24>>2]|0)+(s*12|0)|0}function wke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=+f;var d=0,m=0,B=0,k=0;k=C,C=C+16|0,m=k+1|0,B=k,d=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(d=n[(n[s>>2]|0)+d>>2]|0),XA(m,c),m=ZA(m,c)|0,ku(B,f),f=+Qu(B,f),Q7[d&15](s,m,f),C=k}function Ike(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Bke(s,c,d,0),C=f}function Bke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=eT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=vke(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Dke(m,f)|0,f),C=d}function eT(){var s=0,l=0;if(o[7776]|0||(W5(9828),tr(41,9828,U|0)|0,l=7776,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9828)|0)){s=9828,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));W5(9828)}return 9828}function vke(s){return s=s|0,0}function Dke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=eT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],Y5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(Pke(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function Y5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function Pke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Ske(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,xke(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],Y5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,bke(s,k),kke(k),C=O;return}}function Ske(s){return s=s|0,357913941}function xke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function bke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function kke(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function W5(s){s=s|0,Tke(s)}function Qke(s){s=s|0,Fke(s+24|0)}function Fke(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Tke(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,7,l,Rke()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function Rke(){return 1312}function Nke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=Lke(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Mke(l,d,c),C=f}function Lke(s){return s=s|0,(n[(eT()|0)+24>>2]|0)+(s*12|0)|0}function Mke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),XA(d,c),d=ZA(d,c)|0,tf[f&31](s,d),C=m}function Oke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Uke(s,c,d,0),C=f}function Uke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=tT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=_ke(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Hke(m,f)|0,f),C=d}function tT(){var s=0,l=0;if(o[7784]|0||(K5(9864),tr(42,9864,U|0)|0,l=7784,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9864)|0)){s=9864,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));K5(9864)}return 9864}function _ke(s){return s=s|0,0}function Hke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=tT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],V5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(jke(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function V5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function jke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=qke(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,Gke(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],V5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Yke(s,k),Wke(k),C=O;return}}function qke(s){return s=s|0,357913941}function Gke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Yke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Wke(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function K5(s){s=s|0,Jke(s)}function Vke(s){s=s|0,Kke(s+24|0)}function Kke(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Jke(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,8,l,zke()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function zke(){return 1320}function Xke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=Zke(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],$ke(l,d,c),C=f}function Zke(s){return s=s|0,(n[(tT()|0)+24>>2]|0)+(s*12|0)|0}function $ke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),eQe(d,c),d=tQe(d,c)|0,tf[f&31](s,d),C=m}function eQe(s,l){s=s|0,l=l|0}function tQe(s,l){return s=s|0,l=l|0,rQe(l)|0}function rQe(s){return s=s|0,s|0}function nQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],iQe(s,c,d,0),C=f}function iQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=rT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=sQe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,oQe(m,f)|0,f),C=d}function rT(){var s=0,l=0;if(o[7792]|0||(z5(9900),tr(43,9900,U|0)|0,l=7792,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9900)|0)){s=9900,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));z5(9900)}return 9900}function sQe(s){return s=s|0,0}function oQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=rT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],J5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(aQe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function J5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function aQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=lQe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,cQe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],J5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,uQe(s,k),AQe(k),C=O;return}}function lQe(s){return s=s|0,357913941}function cQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function uQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function AQe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function z5(s){s=s|0,hQe(s)}function fQe(s){s=s|0,pQe(s+24|0)}function pQe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function hQe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,22,l,gQe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function gQe(){return 1344}function dQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;c=C,C=C+16|0,f=c+8|0,d=c,m=mQe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],yQe(l,f),C=c}function mQe(s){return s=s|0,(n[(rT()|0)+24>>2]|0)+(s*12|0)|0}function yQe(s,l){s=s|0,l=l|0;var c=0;c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),ef[c&127](s)}function EQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=nT()|0,s=CQe(c)|0,hn(m,l,d,s,wQe(c,f)|0,f)}function nT(){var s=0,l=0;if(o[7800]|0||(Z5(9936),tr(44,9936,U|0)|0,l=7800,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9936)|0)){s=9936,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));Z5(9936)}return 9936}function CQe(s){return s=s|0,s|0}function wQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=nT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(X5(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(IQe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function X5(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function IQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=BQe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,vQe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,X5(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,DQe(s,d),PQe(d),C=k;return}}function BQe(s){return s=s|0,536870911}function vQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function DQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function PQe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function Z5(s){s=s|0,bQe(s)}function SQe(s){s=s|0,xQe(s+24|0)}function xQe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function bQe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,23,l,P5()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function kQe(s,l){s=s|0,l=l|0,FQe(n[(QQe(s)|0)>>2]|0,l)}function QQe(s){return s=s|0,(n[(nT()|0)+24>>2]|0)+(s<<3)|0}function FQe(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,qF(f,l),l=GF(f,l)|0,ef[s&127](l),C=c}function TQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=iT()|0,s=RQe(c)|0,hn(m,l,d,s,NQe(c,f)|0,f)}function iT(){var s=0,l=0;if(o[7808]|0||(e9(9972),tr(45,9972,U|0)|0,l=7808,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9972)|0)){s=9972,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));e9(9972)}return 9972}function RQe(s){return s=s|0,s|0}function NQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=iT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?($5(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(LQe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function $5(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function LQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=MQe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,OQe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,$5(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,UQe(s,d),_Qe(d),C=k;return}}function MQe(s){return s=s|0,536870911}function OQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function UQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function _Qe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function e9(s){s=s|0,qQe(s)}function HQe(s){s=s|0,jQe(s+24|0)}function jQe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function qQe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,9,l,GQe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function GQe(){return 1348}function YQe(s,l){return s=s|0,l=l|0,VQe(n[(WQe(s)|0)>>2]|0,l)|0}function WQe(s){return s=s|0,(n[(iT()|0)+24>>2]|0)+(s<<3)|0}function VQe(s,l){s=s|0,l=l|0;var c=0,f=0;return c=C,C=C+16|0,f=c,t9(f,l),l=r9(f,l)|0,l=sD(Ng[s&31](l)|0)|0,C=c,l|0}function t9(s,l){s=s|0,l=l|0}function r9(s,l){return s=s|0,l=l|0,KQe(l)|0}function KQe(s){return s=s|0,s|0}function JQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=sT()|0,s=zQe(c)|0,hn(m,l,d,s,XQe(c,f)|0,f)}function sT(){var s=0,l=0;if(o[7816]|0||(i9(10008),tr(46,10008,U|0)|0,l=7816,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10008)|0)){s=10008,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));i9(10008)}return 10008}function zQe(s){return s=s|0,s|0}function XQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=sT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(n9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(ZQe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function n9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function ZQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=$Qe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,eFe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,n9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,tFe(s,d),rFe(d),C=k;return}}function $Qe(s){return s=s|0,536870911}function eFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function tFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function rFe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function i9(s){s=s|0,sFe(s)}function nFe(s){s=s|0,iFe(s+24|0)}function iFe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function sFe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,15,l,C5()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function oFe(s){return s=s|0,lFe(n[(aFe(s)|0)>>2]|0)|0}function aFe(s){return s=s|0,(n[(sT()|0)+24>>2]|0)+(s<<3)|0}function lFe(s){return s=s|0,sD(CD[s&7]()|0)|0}function cFe(){var s=0;return o[7832]|0||(mFe(10052),tr(25,10052,U|0)|0,s=7832,n[s>>2]=1,n[s+4>>2]=0),10052}function uFe(s,l){s=s|0,l=l|0,n[s>>2]=AFe()|0,n[s+4>>2]=fFe()|0,n[s+12>>2]=l,n[s+8>>2]=pFe()|0,n[s+32>>2]=2}function AFe(){return 11709}function fFe(){return 1188}function pFe(){return aD()|0}function hFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(gFe(c),gt(c)):l|0&&(Pu(l),gt(l))}function Sp(s,l){return s=s|0,l=l|0,l&s|0}function gFe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function aD(){var s=0;return o[7824]|0||(n[2511]=dFe()|0,n[2512]=0,s=7824,n[s>>2]=1,n[s+4>>2]=0),10044}function dFe(){return 0}function mFe(s){s=s|0,Bp(s)}function yFe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0;l=C,C=C+32|0,c=l+24|0,m=l+16|0,d=l+8|0,f=l,EFe(s,4827),CFe(s,4834,3)|0,wFe(s,3682,47)|0,n[m>>2]=9,n[m+4>>2]=0,n[c>>2]=n[m>>2],n[c+4>>2]=n[m+4>>2],IFe(s,4841,c)|0,n[d>>2]=1,n[d+4>>2]=0,n[c>>2]=n[d>>2],n[c+4>>2]=n[d+4>>2],BFe(s,4871,c)|0,n[f>>2]=10,n[f+4>>2]=0,n[c>>2]=n[f>>2],n[c+4>>2]=n[f+4>>2],vFe(s,4891,c)|0,C=l}function EFe(s,l){s=s|0,l=l|0;var c=0;c=rRe()|0,n[s>>2]=c,nRe(c,l),xp(n[s>>2]|0)}function CFe(s,l,c){return s=s|0,l=l|0,c=c|0,_Te(s,pn(l)|0,c,0),s|0}function wFe(s,l,c){return s=s|0,l=l|0,c=c|0,DTe(s,pn(l)|0,c,0),s|0}function IFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],oTe(s,l,d),C=f,s|0}function BFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],HFe(s,l,d),C=f,s|0}function vFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],DFe(s,l,d),C=f,s|0}function DFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],PFe(s,c,d,1),C=f}function PFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=oT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=SFe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,xFe(m,f)|0,f),C=d}function oT(){var s=0,l=0;if(o[7840]|0||(o9(10100),tr(48,10100,U|0)|0,l=7840,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10100)|0)){s=10100,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));o9(10100)}return 10100}function SFe(s){return s=s|0,0}function xFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=oT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],s9(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(bFe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function s9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function bFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=kFe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,QFe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],s9(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,FFe(s,k),TFe(k),C=O;return}}function kFe(s){return s=s|0,357913941}function QFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function FFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function TFe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function o9(s){s=s|0,LFe(s)}function RFe(s){s=s|0,NFe(s+24|0)}function NFe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function LFe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,6,l,MFe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function MFe(){return 1364}function OFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=UFe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],c=_Fe(l,d,c)|0,C=f,c|0}function UFe(s){return s=s|0,(n[(oT()|0)+24>>2]|0)+(s*12|0)|0}function _Fe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;return m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),XA(d,c),d=ZA(d,c)|0,d=p5(NT[f&15](s,d)|0)|0,C=m,d|0}function HFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],jFe(s,c,d,0),C=f}function jFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=aT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=qFe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,GFe(m,f)|0,f),C=d}function aT(){var s=0,l=0;if(o[7848]|0||(l9(10136),tr(49,10136,U|0)|0,l=7848,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10136)|0)){s=10136,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));l9(10136)}return 10136}function qFe(s){return s=s|0,0}function GFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=aT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],a9(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(YFe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function a9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function YFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=WFe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,VFe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],a9(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,KFe(s,k),JFe(k),C=O;return}}function WFe(s){return s=s|0,357913941}function VFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function KFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function JFe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function l9(s){s=s|0,ZFe(s)}function zFe(s){s=s|0,XFe(s+24|0)}function XFe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function ZFe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,9,l,$Fe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function $Fe(){return 1372}function eTe(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=tTe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],rTe(l,d,c),C=f}function tTe(s){return s=s|0,(n[(aT()|0)+24>>2]|0)+(s*12|0)|0}function rTe(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0,B=Ze;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),nTe(d,c),B=y(iTe(d,c)),I7[f&1](s,B),C=m}function nTe(s,l){s=s|0,l=+l}function iTe(s,l){return s=s|0,l=+l,y(sTe(l))}function sTe(s){return s=+s,y(s)}function oTe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],aTe(s,c,d,0),C=f}function aTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=lT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=lTe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,cTe(m,f)|0,f),C=d}function lT(){var s=0,l=0;if(o[7856]|0||(u9(10172),tr(50,10172,U|0)|0,l=7856,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10172)|0)){s=10172,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));u9(10172)}return 10172}function lTe(s){return s=s|0,0}function cTe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=lT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],c9(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(uTe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function c9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function uTe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=ATe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,fTe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],c9(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,pTe(s,k),hTe(k),C=O;return}}function ATe(s){return s=s|0,357913941}function fTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function pTe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function hTe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function u9(s){s=s|0,mTe(s)}function gTe(s){s=s|0,dTe(s+24|0)}function dTe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function mTe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,3,l,yTe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function yTe(){return 1380}function ETe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+16|0,m=d+8|0,B=d,k=CTe(s)|0,s=n[k+4>>2]|0,n[B>>2]=n[k>>2],n[B+4>>2]=s,n[m>>2]=n[B>>2],n[m+4>>2]=n[B+4>>2],wTe(l,m,c,f),C=d}function CTe(s){return s=s|0,(n[(lT()|0)+24>>2]|0)+(s*12|0)|0}function wTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;k=C,C=C+16|0,m=k+1|0,B=k,d=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(d=n[(n[s>>2]|0)+d>>2]|0),XA(m,c),m=ZA(m,c)|0,ITe(B,f),B=BTe(B,f)|0,_w[d&15](s,m,B),C=k}function ITe(s,l){s=s|0,l=l|0}function BTe(s,l){return s=s|0,l=l|0,vTe(l)|0}function vTe(s){return s=s|0,(s|0)!=0|0}function DTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=cT()|0,s=PTe(c)|0,hn(m,l,d,s,STe(c,f)|0,f)}function cT(){var s=0,l=0;if(o[7864]|0||(f9(10208),tr(51,10208,U|0)|0,l=7864,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10208)|0)){s=10208,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));f9(10208)}return 10208}function PTe(s){return s=s|0,s|0}function STe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=cT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(A9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(xTe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function A9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function xTe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=bTe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,kTe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,A9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,QTe(s,d),FTe(d),C=k;return}}function bTe(s){return s=s|0,536870911}function kTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function QTe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function FTe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function f9(s){s=s|0,NTe(s)}function TTe(s){s=s|0,RTe(s+24|0)}function RTe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function NTe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,24,l,LTe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function LTe(){return 1392}function MTe(s,l){s=s|0,l=l|0,UTe(n[(OTe(s)|0)>>2]|0,l)}function OTe(s){return s=s|0,(n[(cT()|0)+24>>2]|0)+(s<<3)|0}function UTe(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,t9(f,l),l=r9(f,l)|0,ef[s&127](l),C=c}function _Te(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=uT()|0,s=HTe(c)|0,hn(m,l,d,s,jTe(c,f)|0,f)}function uT(){var s=0,l=0;if(o[7872]|0||(h9(10244),tr(52,10244,U|0)|0,l=7872,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10244)|0)){s=10244,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));h9(10244)}return 10244}function HTe(s){return s=s|0,s|0}function jTe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=uT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(p9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(qTe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function p9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function qTe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=GTe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,YTe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,p9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,WTe(s,d),VTe(d),C=k;return}}function GTe(s){return s=s|0,536870911}function YTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function WTe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function VTe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function h9(s){s=s|0,zTe(s)}function KTe(s){s=s|0,JTe(s+24|0)}function JTe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function zTe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,16,l,XTe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function XTe(){return 1400}function ZTe(s){return s=s|0,eRe(n[($Te(s)|0)>>2]|0)|0}function $Te(s){return s=s|0,(n[(uT()|0)+24>>2]|0)+(s<<3)|0}function eRe(s){return s=s|0,tRe(CD[s&7]()|0)|0}function tRe(s){return s=s|0,s|0}function rRe(){var s=0;return o[7880]|0||(cRe(10280),tr(25,10280,U|0)|0,s=7880,n[s>>2]=1,n[s+4>>2]=0),10280}function nRe(s,l){s=s|0,l=l|0,n[s>>2]=iRe()|0,n[s+4>>2]=sRe()|0,n[s+12>>2]=l,n[s+8>>2]=oRe()|0,n[s+32>>2]=4}function iRe(){return 11711}function sRe(){return 1356}function oRe(){return aD()|0}function aRe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(lRe(c),gt(c)):l|0&&(vg(l),gt(l))}function lRe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function cRe(s){s=s|0,Bp(s)}function uRe(s){s=s|0,ARe(s,4920),fRe(s)|0,pRe(s)|0}function ARe(s,l){s=s|0,l=l|0;var c=0;c=L5()|0,n[s>>2]=c,RRe(c,l),xp(n[s>>2]|0)}function fRe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,vRe()|0),s|0}function pRe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,hRe()|0),s|0}function hRe(){var s=0;return o[7888]|0||(g9(10328),tr(53,10328,U|0)|0,s=7888,n[s>>2]=1,n[s+4>>2]=0),Rr(10328)|0||g9(10328),10328}function bg(s,l){s=s|0,l=l|0,hn(s,0,l,0,0,0)}function g9(s){s=s|0,mRe(s),kg(s,10)}function gRe(s){s=s|0,dRe(s+24|0)}function dRe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function mRe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,1,l,wRe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function yRe(s,l,c){s=s|0,l=l|0,c=+c,ERe(s,l,c)}function kg(s,l){s=s|0,l=l|0,n[s+20>>2]=l}function ERe(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,m=f+8|0,k=f+13|0,d=f,B=f+12|0,XA(k,l),n[m>>2]=ZA(k,l)|0,ku(B,c),E[d>>3]=+Qu(B,c),CRe(s,m,d),C=f}function CRe(s,l,c){s=s|0,l=l|0,c=c|0,Y(s+8|0,n[l>>2]|0,+E[c>>3]),o[s+24>>0]=1}function wRe(){return 1404}function IRe(s,l){return s=s|0,l=+l,BRe(s,l)|0}function BRe(s,l){s=s|0,l=+l;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return f=C,C=C+16|0,m=f+4|0,B=f+8|0,k=f,d=Wa(8)|0,c=d,Q=Vt(16)|0,XA(m,s),s=ZA(m,s)|0,ku(B,l),Y(Q,s,+Qu(B,l)),B=c+4|0,n[B>>2]=Q,s=Vt(8)|0,B=n[B>>2]|0,n[k>>2]=0,n[m>>2]=n[k>>2],JF(s,B,m),n[d>>2]=s,C=f,c|0}function vRe(){var s=0;return o[7896]|0||(d9(10364),tr(54,10364,U|0)|0,s=7896,n[s>>2]=1,n[s+4>>2]=0),Rr(10364)|0||d9(10364),10364}function d9(s){s=s|0,SRe(s),kg(s,55)}function DRe(s){s=s|0,PRe(s+24|0)}function PRe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function SRe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,4,l,QRe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function xRe(s){s=s|0,bRe(s)}function bRe(s){s=s|0,kRe(s)}function kRe(s){s=s|0,m9(s+8|0),o[s+24>>0]=1}function m9(s){s=s|0,n[s>>2]=0,E[s+8>>3]=0}function QRe(){return 1424}function FRe(){return TRe()|0}function TRe(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0;return l=C,C=C+16|0,d=l+4|0,B=l,c=Wa(8)|0,s=c,f=Vt(16)|0,m9(f),m=s+4|0,n[m>>2]=f,f=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],JF(f,m,d),n[c>>2]=f,C=l,s|0}function RRe(s,l){s=s|0,l=l|0,n[s>>2]=NRe()|0,n[s+4>>2]=LRe()|0,n[s+12>>2]=l,n[s+8>>2]=MRe()|0,n[s+32>>2]=5}function NRe(){return 11710}function LRe(){return 1416}function MRe(){return lD()|0}function ORe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(URe(c),gt(c)):l|0&>(l)}function URe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function lD(){var s=0;return o[7904]|0||(n[2600]=_Re()|0,n[2601]=0,s=7904,n[s>>2]=1,n[s+4>>2]=0),10400}function _Re(){return n[357]|0}function HRe(s){s=s|0,jRe(s,4926),qRe(s)|0}function jRe(s,l){s=s|0,l=l|0;var c=0;c=s5()|0,n[s>>2]=c,eNe(c,l),xp(n[s>>2]|0)}function qRe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,GRe()|0),s|0}function GRe(){var s=0;return o[7912]|0||(y9(10412),tr(56,10412,U|0)|0,s=7912,n[s>>2]=1,n[s+4>>2]=0),Rr(10412)|0||y9(10412),10412}function y9(s){s=s|0,VRe(s),kg(s,57)}function YRe(s){s=s|0,WRe(s+24|0)}function WRe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function VRe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,5,l,XRe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function KRe(s){s=s|0,JRe(s)}function JRe(s){s=s|0,zRe(s)}function zRe(s){s=s|0;var l=0,c=0;l=s+8|0,c=l+48|0;do n[l>>2]=0,l=l+4|0;while((l|0)<(c|0));o[s+56>>0]=1}function XRe(){return 1432}function ZRe(){return $Re()|0}function $Re(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0,k=0;B=C,C=C+16|0,s=B+4|0,l=B,c=Wa(8)|0,f=c,d=Vt(48)|0,m=d,k=m+48|0;do n[m>>2]=0,m=m+4|0;while((m|0)<(k|0));return m=f+4|0,n[m>>2]=d,k=Vt(8)|0,m=n[m>>2]|0,n[l>>2]=0,n[s>>2]=n[l>>2],o5(k,m,s),n[c>>2]=k,C=B,f|0}function eNe(s,l){s=s|0,l=l|0,n[s>>2]=tNe()|0,n[s+4>>2]=rNe()|0,n[s+12>>2]=l,n[s+8>>2]=nNe()|0,n[s+32>>2]=6}function tNe(){return 11704}function rNe(){return 1436}function nNe(){return lD()|0}function iNe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(sNe(c),gt(c)):l|0&>(l)}function sNe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function oNe(s){s=s|0,aNe(s,4933),lNe(s)|0,cNe(s)|0}function aNe(s,l){s=s|0,l=l|0;var c=0;c=TNe()|0,n[s>>2]=c,RNe(c,l),xp(n[s>>2]|0)}function lNe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,BNe()|0),s|0}function cNe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,uNe()|0),s|0}function uNe(){var s=0;return o[7920]|0||(E9(10452),tr(58,10452,U|0)|0,s=7920,n[s>>2]=1,n[s+4>>2]=0),Rr(10452)|0||E9(10452),10452}function E9(s){s=s|0,pNe(s),kg(s,1)}function ANe(s){s=s|0,fNe(s+24|0)}function fNe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function pNe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,1,l,mNe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function hNe(s,l,c){s=s|0,l=+l,c=+c,gNe(s,l,c)}function gNe(s,l,c){s=s|0,l=+l,c=+c;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+32|0,m=f+8|0,k=f+17|0,d=f,B=f+16|0,ku(k,l),E[m>>3]=+Qu(k,l),ku(B,c),E[d>>3]=+Qu(B,c),dNe(s,m,d),C=f}function dNe(s,l,c){s=s|0,l=l|0,c=c|0,C9(s+8|0,+E[l>>3],+E[c>>3]),o[s+24>>0]=1}function C9(s,l,c){s=s|0,l=+l,c=+c,E[s>>3]=l,E[s+8>>3]=c}function mNe(){return 1472}function yNe(s,l){return s=+s,l=+l,ENe(s,l)|0}function ENe(s,l){s=+s,l=+l;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return f=C,C=C+16|0,B=f+4|0,k=f+8|0,Q=f,d=Wa(8)|0,c=d,m=Vt(16)|0,ku(B,s),s=+Qu(B,s),ku(k,l),C9(m,s,+Qu(k,l)),k=c+4|0,n[k>>2]=m,m=Vt(8)|0,k=n[k>>2]|0,n[Q>>2]=0,n[B>>2]=n[Q>>2],w9(m,k,B),n[d>>2]=m,C=f,c|0}function w9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Vt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1452,n[c+12>>2]=l,n[s+4>>2]=c}function CNe(s){s=s|0,Jm(s),gt(s)}function wNe(s){s=s|0,s=n[s+12>>2]|0,s|0&>(s)}function INe(s){s=s|0,gt(s)}function BNe(){var s=0;return o[7928]|0||(I9(10488),tr(59,10488,U|0)|0,s=7928,n[s>>2]=1,n[s+4>>2]=0),Rr(10488)|0||I9(10488),10488}function I9(s){s=s|0,PNe(s),kg(s,60)}function vNe(s){s=s|0,DNe(s+24|0)}function DNe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function PNe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,6,l,kNe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function SNe(s){s=s|0,xNe(s)}function xNe(s){s=s|0,bNe(s)}function bNe(s){s=s|0,B9(s+8|0),o[s+24>>0]=1}function B9(s){s=s|0,n[s>>2]=0,n[s+4>>2]=0,n[s+8>>2]=0,n[s+12>>2]=0}function kNe(){return 1492}function QNe(){return FNe()|0}function FNe(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0;return l=C,C=C+16|0,d=l+4|0,B=l,c=Wa(8)|0,s=c,f=Vt(16)|0,B9(f),m=s+4|0,n[m>>2]=f,f=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],w9(f,m,d),n[c>>2]=f,C=l,s|0}function TNe(){var s=0;return o[7936]|0||(_Ne(10524),tr(25,10524,U|0)|0,s=7936,n[s>>2]=1,n[s+4>>2]=0),10524}function RNe(s,l){s=s|0,l=l|0,n[s>>2]=NNe()|0,n[s+4>>2]=LNe()|0,n[s+12>>2]=l,n[s+8>>2]=MNe()|0,n[s+32>>2]=7}function NNe(){return 11700}function LNe(){return 1484}function MNe(){return lD()|0}function ONe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(UNe(c),gt(c)):l|0&>(l)}function UNe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function _Ne(s){s=s|0,Bp(s)}function HNe(s,l,c){s=s|0,l=l|0,c=c|0,s=pn(l)|0,l=jNe(c)|0,c=qNe(c,0)|0,ELe(s,l,c,AT()|0,0)}function jNe(s){return s=s|0,s|0}function qNe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=AT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(D9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(zNe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function AT(){var s=0,l=0;if(o[7944]|0||(v9(10568),tr(61,10568,U|0)|0,l=7944,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10568)|0)){s=10568,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));v9(10568)}return 10568}function v9(s){s=s|0,WNe(s)}function GNe(s){s=s|0,YNe(s+24|0)}function YNe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function WNe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,17,l,B5()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function VNe(s){return s=s|0,JNe(n[(KNe(s)|0)>>2]|0)|0}function KNe(s){return s=s|0,(n[(AT()|0)+24>>2]|0)+(s<<3)|0}function JNe(s){return s=s|0,oD(CD[s&7]()|0)|0}function D9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function zNe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=XNe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,ZNe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,D9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,$Ne(s,d),eLe(d),C=k;return}}function XNe(s){return s=s|0,536870911}function ZNe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function $Ne(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function eLe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function tLe(){rLe()}function rLe(){nLe(10604)}function nLe(s){s=s|0,iLe(s,4955)}function iLe(s,l){s=s|0,l=l|0;var c=0;c=sLe()|0,n[s>>2]=c,oLe(c,l),xp(n[s>>2]|0)}function sLe(){var s=0;return o[7952]|0||(gLe(10612),tr(25,10612,U|0)|0,s=7952,n[s>>2]=1,n[s+4>>2]=0),10612}function oLe(s,l){s=s|0,l=l|0,n[s>>2]=uLe()|0,n[s+4>>2]=ALe()|0,n[s+12>>2]=l,n[s+8>>2]=fLe()|0,n[s+32>>2]=8}function xp(s){s=s|0;var l=0,c=0;l=C,C=C+16|0,c=l,Gm()|0,n[c>>2]=s,aLe(10608,c),C=l}function Gm(){return o[11714]|0||(n[2652]=0,tr(62,10608,U|0)|0,o[11714]=1),10608}function aLe(s,l){s=s|0,l=l|0;var c=0;c=Vt(8)|0,n[c+4>>2]=n[l>>2],n[c>>2]=n[s>>2],n[s>>2]=c}function lLe(s){s=s|0,cLe(s)}function cLe(s){s=s|0;var l=0,c=0;if(l=n[s>>2]|0,l|0)do c=l,l=n[l>>2]|0,gt(c);while((l|0)!=0);n[s>>2]=0}function uLe(){return 11715}function ALe(){return 1496}function fLe(){return aD()|0}function pLe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(hLe(c),gt(c)):l|0&>(l)}function hLe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function gLe(s){s=s|0,Bp(s)}function dLe(s,l){s=s|0,l=l|0;var c=0,f=0;Gm()|0,c=n[2652]|0;e:do if(c|0){for(;f=n[c+4>>2]|0,!(f|0&&(o7(fT(f)|0,s)|0)==0);)if(c=n[c>>2]|0,!c)break e;mLe(f,l)}while(0)}function fT(s){return s=s|0,n[s+12>>2]|0}function mLe(s,l){s=s|0,l=l|0;var c=0;s=s+36|0,c=n[s>>2]|0,c|0&&(jA(c),gt(c)),c=Vt(4)|0,$G(c,l),n[s>>2]=c}function pT(){return o[11716]|0||(n[2664]=0,tr(63,10656,U|0)|0,o[11716]=1),10656}function P9(){var s=0;return o[11717]|0?s=n[2665]|0:(yLe(),n[2665]=1504,o[11717]=1,s=1504),s|0}function yLe(){o[11740]|0||(o[11718]=gr(gr(8,0)|0,0)|0,o[11719]=gr(gr(0,0)|0,0)|0,o[11720]=gr(gr(0,16)|0,0)|0,o[11721]=gr(gr(8,0)|0,0)|0,o[11722]=gr(gr(0,0)|0,0)|0,o[11723]=gr(gr(8,0)|0,0)|0,o[11724]=gr(gr(0,0)|0,0)|0,o[11725]=gr(gr(8,0)|0,0)|0,o[11726]=gr(gr(0,0)|0,0)|0,o[11727]=gr(gr(8,0)|0,0)|0,o[11728]=gr(gr(0,0)|0,0)|0,o[11729]=gr(gr(0,0)|0,32)|0,o[11730]=gr(gr(0,0)|0,32)|0,o[11740]=1)}function S9(){return 1572}function ELe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,O=0,M=0;m=C,C=C+32|0,M=m+16|0,O=m+12|0,Q=m+8|0,k=m+4|0,B=m,n[M>>2]=s,n[O>>2]=l,n[Q>>2]=c,n[k>>2]=f,n[B>>2]=d,pT()|0,CLe(10656,M,O,Q,k,B),C=m}function CLe(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0;B=Vt(24)|0,r5(B+4|0,n[l>>2]|0,n[c>>2]|0,n[f>>2]|0,n[d>>2]|0,n[m>>2]|0),n[B>>2]=n[s>>2],n[s>>2]=B}function x9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0,at=0;if(at=C,C=C+32|0,Oe=at+20|0,Fe=at+8|0,et=at+4|0,Xe=at,l=n[l>>2]|0,l|0){Ge=Oe+4|0,Q=Oe+8|0,O=Fe+4|0,M=Fe+8|0,q=Fe+8|0,se=Oe+8|0;do{if(B=l+4|0,k=hT(B)|0,k|0){if(d=Rw(k)|0,n[Oe>>2]=0,n[Ge>>2]=0,n[Q>>2]=0,f=(Nw(k)|0)+1|0,wLe(Oe,f),f|0)for(;f=f+-1|0,xc(Fe,n[d>>2]|0),m=n[Ge>>2]|0,m>>>0<(n[se>>2]|0)>>>0?(n[m>>2]=n[Fe>>2],n[Ge>>2]=(n[Ge>>2]|0)+4):gT(Oe,Fe),f;)d=d+4|0;f=Lw(k)|0,n[Fe>>2]=0,n[O>>2]=0,n[M>>2]=0;e:do if(n[f>>2]|0)for(d=0,m=0;;){if((d|0)==(m|0)?ILe(Fe,f):(n[d>>2]=n[f>>2],n[O>>2]=(n[O>>2]|0)+4),f=f+4|0,!(n[f>>2]|0))break e;d=n[O>>2]|0,m=n[q>>2]|0}while(0);n[et>>2]=cD(B)|0,n[Xe>>2]=Rr(k)|0,BLe(c,s,et,Xe,Oe,Fe),dT(Fe),$A(Oe)}l=n[l>>2]|0}while((l|0)!=0)}C=at}function hT(s){return s=s|0,n[s+12>>2]|0}function Rw(s){return s=s|0,n[s+12>>2]|0}function Nw(s){return s=s|0,n[s+16>>2]|0}function wLe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;d=C,C=C+32|0,c=d,f=n[s>>2]|0,(n[s+8>>2]|0)-f>>2>>>0<l>>>0&&(L9(c,l,(n[s+4>>2]|0)-f>>2,s+8|0),M9(s,c),O9(c)),C=d}function gT(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0;if(B=C,C=C+32|0,c=B,f=s+4|0,d=((n[f>>2]|0)-(n[s>>2]|0)>>2)+1|0,m=N9(s)|0,m>>>0<d>>>0)zr(s);else{k=n[s>>2]|0,O=(n[s+8>>2]|0)-k|0,Q=O>>1,L9(c,O>>2>>>0<m>>>1>>>0?Q>>>0<d>>>0?d:Q:m,(n[f>>2]|0)-k>>2,s+8|0),m=c+8|0,n[n[m>>2]>>2]=n[l>>2],n[m>>2]=(n[m>>2]|0)+4,M9(s,c),O9(c),C=B;return}}function Lw(s){return s=s|0,n[s+8>>2]|0}function ILe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0;if(B=C,C=C+32|0,c=B,f=s+4|0,d=((n[f>>2]|0)-(n[s>>2]|0)>>2)+1|0,m=R9(s)|0,m>>>0<d>>>0)zr(s);else{k=n[s>>2]|0,O=(n[s+8>>2]|0)-k|0,Q=O>>1,jLe(c,O>>2>>>0<m>>>1>>>0?Q>>>0<d>>>0?d:Q:m,(n[f>>2]|0)-k>>2,s+8|0),m=c+8|0,n[n[m>>2]>>2]=n[l>>2],n[m>>2]=(n[m>>2]|0)+4,qLe(s,c),GLe(c),C=B;return}}function cD(s){return s=s|0,n[s>>2]|0}function BLe(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,vLe(s,l,c,f,d,m)}function dT(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-4-f|0)>>>2)<<2)),gt(c))}function $A(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-4-f|0)>>>2)<<2)),gt(c))}function vLe(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,O=0,M=0,q=0;B=C,C=C+48|0,M=B+40|0,k=B+32|0,q=B+24|0,Q=B+12|0,O=B,Va(k),s=da(s)|0,n[q>>2]=n[l>>2],c=n[c>>2]|0,f=n[f>>2]|0,mT(Q,d),DLe(O,m),n[M>>2]=n[q>>2],PLe(s,M,c,f,Q,O),dT(O),$A(Q),Ka(k),C=B}function mT(s,l){s=s|0,l=l|0;var c=0,f=0;n[s>>2]=0,n[s+4>>2]=0,n[s+8>>2]=0,c=l+4|0,f=(n[c>>2]|0)-(n[l>>2]|0)>>2,f|0&&(_Le(s,f),HLe(s,n[l>>2]|0,n[c>>2]|0,f))}function DLe(s,l){s=s|0,l=l|0;var c=0,f=0;n[s>>2]=0,n[s+4>>2]=0,n[s+8>>2]=0,c=l+4|0,f=(n[c>>2]|0)-(n[l>>2]|0)>>2,f|0&&(OLe(s,f),ULe(s,n[l>>2]|0,n[c>>2]|0,f))}function PLe(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,O=0,M=0,q=0;B=C,C=C+32|0,M=B+28|0,q=B+24|0,k=B+12|0,Q=B,O=Pl(SLe()|0)|0,n[q>>2]=n[l>>2],n[M>>2]=n[q>>2],l=Qg(M)|0,c=b9(c)|0,f=yT(f)|0,n[k>>2]=n[d>>2],M=d+4|0,n[k+4>>2]=n[M>>2],q=d+8|0,n[k+8>>2]=n[q>>2],n[q>>2]=0,n[M>>2]=0,n[d>>2]=0,d=ET(k)|0,n[Q>>2]=n[m>>2],M=m+4|0,n[Q+4>>2]=n[M>>2],q=m+8|0,n[Q+8>>2]=n[q>>2],n[q>>2]=0,n[M>>2]=0,n[m>>2]=0,ao(0,O|0,s|0,l|0,c|0,f|0,d|0,xLe(Q)|0)|0,dT(Q),$A(k),C=B}function SLe(){var s=0;return o[7968]|0||(LLe(10708),s=7968,n[s>>2]=1,n[s+4>>2]=0),10708}function Qg(s){return s=s|0,Q9(s)|0}function b9(s){return s=s|0,k9(s)|0}function yT(s){return s=s|0,oD(s)|0}function ET(s){return s=s|0,kLe(s)|0}function xLe(s){return s=s|0,bLe(s)|0}function bLe(s){s=s|0;var l=0,c=0,f=0;if(f=(n[s+4>>2]|0)-(n[s>>2]|0)|0,c=f>>2,f=Wa(f+4|0)|0,n[f>>2]=c,c|0){l=0;do n[f+4+(l<<2)>>2]=k9(n[(n[s>>2]|0)+(l<<2)>>2]|0)|0,l=l+1|0;while((l|0)!=(c|0))}return f|0}function k9(s){return s=s|0,s|0}function kLe(s){s=s|0;var l=0,c=0,f=0;if(f=(n[s+4>>2]|0)-(n[s>>2]|0)|0,c=f>>2,f=Wa(f+4|0)|0,n[f>>2]=c,c|0){l=0;do n[f+4+(l<<2)>>2]=Q9((n[s>>2]|0)+(l<<2)|0)|0,l=l+1|0;while((l|0)!=(c|0))}return f|0}function Q9(s){s=s|0;var l=0,c=0,f=0,d=0;return d=C,C=C+32|0,l=d+12|0,c=d,f=QF(F9()|0)|0,f?(FF(l,f),TF(c,l),fUe(s,c),s=RF(l)|0):s=QLe(s)|0,C=d,s|0}function F9(){var s=0;return o[7960]|0||(NLe(10664),tr(25,10664,U|0)|0,s=7960,n[s>>2]=1,n[s+4>>2]=0),10664}function QLe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0;return c=C,C=C+16|0,d=c+4|0,B=c,f=Wa(8)|0,l=f,k=Vt(4)|0,n[k>>2]=n[s>>2],m=l+4|0,n[m>>2]=k,s=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],T9(s,m,d),n[f>>2]=s,C=c,l|0}function T9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Vt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1656,n[c+12>>2]=l,n[s+4>>2]=c}function FLe(s){s=s|0,Jm(s),gt(s)}function TLe(s){s=s|0,s=n[s+12>>2]|0,s|0&>(s)}function RLe(s){s=s|0,gt(s)}function NLe(s){s=s|0,Bp(s)}function LLe(s){s=s|0,Sl(s,MLe()|0,5)}function MLe(){return 1676}function OLe(s,l){s=s|0,l=l|0;var c=0;if((R9(s)|0)>>>0<l>>>0&&zr(s),l>>>0>1073741823)Tt();else{c=Vt(l<<2)|0,n[s+4>>2]=c,n[s>>2]=c,n[s+8>>2]=c+(l<<2);return}}function ULe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,f=s+4|0,s=c-l|0,(s|0)>0&&(Dr(n[f>>2]|0,l|0,s|0)|0,n[f>>2]=(n[f>>2]|0)+(s>>>2<<2))}function R9(s){return s=s|0,1073741823}function _Le(s,l){s=s|0,l=l|0;var c=0;if((N9(s)|0)>>>0<l>>>0&&zr(s),l>>>0>1073741823)Tt();else{c=Vt(l<<2)|0,n[s+4>>2]=c,n[s>>2]=c,n[s+8>>2]=c+(l<<2);return}}function HLe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,f=s+4|0,s=c-l|0,(s|0)>0&&(Dr(n[f>>2]|0,l|0,s|0)|0,n[f>>2]=(n[f>>2]|0)+(s>>>2<<2))}function N9(s){return s=s|0,1073741823}function jLe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>1073741823)Tt();else{d=Vt(l<<2)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<2)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<2)}function qLe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>2)<<2)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function GLe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-4-l|0)>>>2)<<2)),s=n[s>>2]|0,s|0&>(s)}function L9(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>1073741823)Tt();else{d=Vt(l<<2)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<2)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<2)}function M9(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>2)<<2)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function O9(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-4-l|0)>>>2)<<2)),s=n[s>>2]|0,s|0&>(s)}function YLe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0;if(Fe=C,C=C+32|0,M=Fe+20|0,q=Fe+12|0,O=Fe+16|0,se=Fe+4|0,Ge=Fe,Oe=Fe+8|0,k=P9()|0,m=n[k>>2]|0,B=n[m>>2]|0,B|0)for(Q=n[k+8>>2]|0,k=n[k+4>>2]|0;xc(M,B),WLe(s,M,k,Q),m=m+4|0,B=n[m>>2]|0,B;)Q=Q+1|0,k=k+1|0;if(m=S9()|0,B=n[m>>2]|0,B|0)do xc(M,B),n[q>>2]=n[m+4>>2],VLe(l,M,q),m=m+8|0,B=n[m>>2]|0;while((B|0)!=0);if(m=n[(Gm()|0)>>2]|0,m|0)do l=n[m+4>>2]|0,xc(M,n[(Ym(l)|0)>>2]|0),n[q>>2]=fT(l)|0,KLe(c,M,q),m=n[m>>2]|0;while((m|0)!=0);if(xc(O,0),m=pT()|0,n[M>>2]=n[O>>2],x9(M,m,d),m=n[(Gm()|0)>>2]|0,m|0){s=M+4|0,l=M+8|0,c=M+8|0;do{if(Q=n[m+4>>2]|0,xc(q,n[(Ym(Q)|0)>>2]|0),JLe(se,U9(Q)|0),B=n[se>>2]|0,B|0){n[M>>2]=0,n[s>>2]=0,n[l>>2]=0;do xc(Ge,n[(Ym(n[B+4>>2]|0)|0)>>2]|0),k=n[s>>2]|0,k>>>0<(n[c>>2]|0)>>>0?(n[k>>2]=n[Ge>>2],n[s>>2]=(n[s>>2]|0)+4):gT(M,Ge),B=n[B>>2]|0;while((B|0)!=0);zLe(f,q,M),$A(M)}n[Oe>>2]=n[q>>2],O=_9(Q)|0,n[M>>2]=n[Oe>>2],x9(M,O,d),l5(se),m=n[m>>2]|0}while((m|0)!=0)}C=Fe}function WLe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,lMe(s,l,c,f)}function VLe(s,l,c){s=s|0,l=l|0,c=c|0,aMe(s,l,c)}function Ym(s){return s=s|0,s|0}function KLe(s,l,c){s=s|0,l=l|0,c=c|0,nMe(s,l,c)}function U9(s){return s=s|0,s+16|0}function JLe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;if(m=C,C=C+16|0,d=m+8|0,c=m,n[s>>2]=0,f=n[l>>2]|0,n[d>>2]=f,n[c>>2]=s,c=rMe(c)|0,f|0){if(f=Vt(12)|0,B=(H9(d)|0)+4|0,s=n[B+4>>2]|0,l=f+4|0,n[l>>2]=n[B>>2],n[l+4>>2]=s,l=n[n[d>>2]>>2]|0,n[d>>2]=l,!l)s=f;else for(l=f;s=Vt(12)|0,Q=(H9(d)|0)+4|0,k=n[Q+4>>2]|0,B=s+4|0,n[B>>2]=n[Q>>2],n[B+4>>2]=k,n[l>>2]=s,B=n[n[d>>2]>>2]|0,n[d>>2]=B,B;)l=s;n[s>>2]=n[c>>2],n[c>>2]=f}C=m}function zLe(s,l,c){s=s|0,l=l|0,c=c|0,XLe(s,l,c)}function _9(s){return s=s|0,s+24|0}function XLe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+32|0,B=f+24|0,d=f+16|0,k=f+12|0,m=f,Va(d),s=da(s)|0,n[k>>2]=n[l>>2],mT(m,c),n[B>>2]=n[k>>2],ZLe(s,B,m),$A(m),Ka(d),C=f}function ZLe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+32|0,B=f+16|0,k=f+12|0,d=f,m=Pl($Le()|0)|0,n[k>>2]=n[l>>2],n[B>>2]=n[k>>2],l=Qg(B)|0,n[d>>2]=n[c>>2],B=c+4|0,n[d+4>>2]=n[B>>2],k=c+8|0,n[d+8>>2]=n[k>>2],n[k>>2]=0,n[B>>2]=0,n[c>>2]=0,oo(0,m|0,s|0,l|0,ET(d)|0)|0,$A(d),C=f}function $Le(){var s=0;return o[7976]|0||(eMe(10720),s=7976,n[s>>2]=1,n[s+4>>2]=0),10720}function eMe(s){s=s|0,Sl(s,tMe()|0,2)}function tMe(){return 1732}function rMe(s){return s=s|0,n[s>>2]|0}function H9(s){return s=s|0,n[s>>2]|0}function nMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+32|0,m=f+16|0,d=f+8|0,B=f,Va(d),s=da(s)|0,n[B>>2]=n[l>>2],c=n[c>>2]|0,n[m>>2]=n[B>>2],j9(s,m,c),Ka(d),C=f}function j9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,m=f+4|0,B=f,d=Pl(iMe()|0)|0,n[B>>2]=n[l>>2],n[m>>2]=n[B>>2],l=Qg(m)|0,oo(0,d|0,s|0,l|0,b9(c)|0)|0,C=f}function iMe(){var s=0;return o[7984]|0||(sMe(10732),s=7984,n[s>>2]=1,n[s+4>>2]=0),10732}function sMe(s){s=s|0,Sl(s,oMe()|0,2)}function oMe(){return 1744}function aMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+32|0,m=f+16|0,d=f+8|0,B=f,Va(d),s=da(s)|0,n[B>>2]=n[l>>2],c=n[c>>2]|0,n[m>>2]=n[B>>2],j9(s,m,c),Ka(d),C=f}function lMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+32|0,B=d+16|0,m=d+8|0,k=d,Va(m),s=da(s)|0,n[k>>2]=n[l>>2],c=o[c>>0]|0,f=o[f>>0]|0,n[B>>2]=n[k>>2],cMe(s,B,c,f),Ka(m),C=d}function cMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+16|0,B=d+4|0,k=d,m=Pl(uMe()|0)|0,n[k>>2]=n[l>>2],n[B>>2]=n[k>>2],l=Qg(B)|0,c=Wm(c)|0,pc(0,m|0,s|0,l|0,c|0,Wm(f)|0)|0,C=d}function uMe(){var s=0;return o[7992]|0||(fMe(10744),s=7992,n[s>>2]=1,n[s+4>>2]=0),10744}function Wm(s){return s=s|0,AMe(s)|0}function AMe(s){return s=s|0,s&255|0}function fMe(s){s=s|0,Sl(s,pMe()|0,3)}function pMe(){return 1756}function hMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;switch(se=C,C=C+32|0,k=se+8|0,Q=se+4|0,O=se+20|0,M=se,OF(s,0),f=AUe(l)|0,n[k>>2]=0,q=k+4|0,n[q>>2]=0,n[k+8>>2]=0,f<<24>>24){case 0:{o[O>>0]=0,gMe(Q,c,O),uD(s,Q)|0,qA(Q);break}case 8:{q=DT(l)|0,o[O>>0]=8,xc(M,n[q+4>>2]|0),dMe(Q,c,O,M,q+8|0),uD(s,Q)|0,qA(Q);break}case 9:{if(m=DT(l)|0,l=n[m+4>>2]|0,l|0)for(B=k+8|0,d=m+12|0;l=l+-1|0,xc(Q,n[d>>2]|0),f=n[q>>2]|0,f>>>0<(n[B>>2]|0)>>>0?(n[f>>2]=n[Q>>2],n[q>>2]=(n[q>>2]|0)+4):gT(k,Q),l;)d=d+4|0;o[O>>0]=9,xc(M,n[m+8>>2]|0),mMe(Q,c,O,M,k),uD(s,Q)|0,qA(Q);break}default:q=DT(l)|0,o[O>>0]=f,xc(M,n[q+4>>2]|0),yMe(Q,c,O,M),uD(s,Q)|0,qA(Q)}$A(k),C=se}function gMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;f=C,C=C+16|0,d=f,Va(d),l=da(l)|0,QMe(s,l,o[c>>0]|0),Ka(d),C=f}function uD(s,l){s=s|0,l=l|0;var c=0;return c=n[s>>2]|0,c|0&&PA(c|0),n[s>>2]=n[l>>2],n[l>>2]=0,s|0}function dMe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0;m=C,C=C+32|0,k=m+16|0,B=m+8|0,Q=m,Va(B),l=da(l)|0,c=o[c>>0]|0,n[Q>>2]=n[f>>2],d=n[d>>2]|0,n[k>>2]=n[Q>>2],SMe(s,l,c,k,d),Ka(B),C=m}function mMe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,O=0;m=C,C=C+32|0,Q=m+24|0,B=m+16|0,O=m+12|0,k=m,Va(B),l=da(l)|0,c=o[c>>0]|0,n[O>>2]=n[f>>2],mT(k,d),n[Q>>2]=n[O>>2],BMe(s,l,c,Q,k),$A(k),Ka(B),C=m}function yMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+32|0,B=d+16|0,m=d+8|0,k=d,Va(m),l=da(l)|0,c=o[c>>0]|0,n[k>>2]=n[f>>2],n[B>>2]=n[k>>2],EMe(s,l,c,B),Ka(m),C=d}function EMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+16|0,m=d+4|0,k=d,B=Pl(CMe()|0)|0,c=Wm(c)|0,n[k>>2]=n[f>>2],n[m>>2]=n[k>>2],AD(s,oo(0,B|0,l|0,c|0,Qg(m)|0)|0),C=d}function CMe(){var s=0;return o[8e3]|0||(wMe(10756),s=8e3,n[s>>2]=1,n[s+4>>2]=0),10756}function AD(s,l){s=s|0,l=l|0,OF(s,l)}function wMe(s){s=s|0,Sl(s,IMe()|0,2)}function IMe(){return 1772}function BMe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,O=0;m=C,C=C+32|0,Q=m+16|0,O=m+12|0,B=m,k=Pl(vMe()|0)|0,c=Wm(c)|0,n[O>>2]=n[f>>2],n[Q>>2]=n[O>>2],f=Qg(Q)|0,n[B>>2]=n[d>>2],Q=d+4|0,n[B+4>>2]=n[Q>>2],O=d+8|0,n[B+8>>2]=n[O>>2],n[O>>2]=0,n[Q>>2]=0,n[d>>2]=0,AD(s,pc(0,k|0,l|0,c|0,f|0,ET(B)|0)|0),$A(B),C=m}function vMe(){var s=0;return o[8008]|0||(DMe(10768),s=8008,n[s>>2]=1,n[s+4>>2]=0),10768}function DMe(s){s=s|0,Sl(s,PMe()|0,3)}function PMe(){return 1784}function SMe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0;m=C,C=C+16|0,k=m+4|0,Q=m,B=Pl(xMe()|0)|0,c=Wm(c)|0,n[Q>>2]=n[f>>2],n[k>>2]=n[Q>>2],f=Qg(k)|0,AD(s,pc(0,B|0,l|0,c|0,f|0,yT(d)|0)|0),C=m}function xMe(){var s=0;return o[8016]|0||(bMe(10780),s=8016,n[s>>2]=1,n[s+4>>2]=0),10780}function bMe(s){s=s|0,Sl(s,kMe()|0,3)}function kMe(){return 1800}function QMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=Pl(FMe()|0)|0,AD(s,Qn(0,f|0,l|0,Wm(c)|0)|0)}function FMe(){var s=0;return o[8024]|0||(TMe(10792),s=8024,n[s>>2]=1,n[s+4>>2]=0),10792}function TMe(s){s=s|0,Sl(s,RMe()|0,1)}function RMe(){return 1816}function NMe(){LMe(),MMe(),OMe()}function LMe(){n[2702]=d7(65536)|0}function MMe(){iOe(10856)}function OMe(){UMe(10816)}function UMe(s){s=s|0,_Me(s,5044),HMe(s)|0}function _Me(s,l){s=s|0,l=l|0;var c=0;c=F9()|0,n[s>>2]=c,ZMe(c,l),xp(n[s>>2]|0)}function HMe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,jMe()|0),s|0}function jMe(){var s=0;return o[8032]|0||(q9(10820),tr(64,10820,U|0)|0,s=8032,n[s>>2]=1,n[s+4>>2]=0),Rr(10820)|0||q9(10820),10820}function q9(s){s=s|0,YMe(s),kg(s,25)}function qMe(s){s=s|0,GMe(s+24|0)}function GMe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function YMe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,18,l,JMe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function WMe(s,l){s=s|0,l=l|0,VMe(s,l)}function VMe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;c=C,C=C+16|0,f=c,d=c+4|0,Sg(d,l),n[f>>2]=xg(d,l)|0,KMe(s,f),C=c}function KMe(s,l){s=s|0,l=l|0,G9(s+4|0,n[l>>2]|0),o[s+8>>0]=1}function G9(s,l){s=s|0,l=l|0,n[s>>2]=l}function JMe(){return 1824}function zMe(s){return s=s|0,XMe(s)|0}function XMe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0;return c=C,C=C+16|0,d=c+4|0,B=c,f=Wa(8)|0,l=f,k=Vt(4)|0,Sg(d,s),G9(k,xg(d,s)|0),m=l+4|0,n[m>>2]=k,s=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],T9(s,m,d),n[f>>2]=s,C=c,l|0}function Wa(s){s=s|0;var l=0,c=0;return s=s+7&-8,s>>>0<=32768&&(l=n[2701]|0,s>>>0<=(65536-l|0)>>>0)?(c=(n[2702]|0)+l|0,n[2701]=l+s,s=c):(s=d7(s+8|0)|0,n[s>>2]=n[2703],n[2703]=s,s=s+8|0),s|0}function ZMe(s,l){s=s|0,l=l|0,n[s>>2]=$Me()|0,n[s+4>>2]=eOe()|0,n[s+12>>2]=l,n[s+8>>2]=tOe()|0,n[s+32>>2]=9}function $Me(){return 11744}function eOe(){return 1832}function tOe(){return lD()|0}function rOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(nOe(c),gt(c)):l|0&>(l)}function nOe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function iOe(s){s=s|0,sOe(s,5052),oOe(s)|0,aOe(s,5058,26)|0,lOe(s,5069,1)|0,cOe(s,5077,10)|0,uOe(s,5087,19)|0,AOe(s,5094,27)|0}function sOe(s,l){s=s|0,l=l|0;var c=0;c=nUe()|0,n[s>>2]=c,iUe(c,l),xp(n[s>>2]|0)}function oOe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,q4e()|0),s|0}function aOe(s,l,c){return s=s|0,l=l|0,c=c|0,D4e(s,pn(l)|0,c,0),s|0}function lOe(s,l,c){return s=s|0,l=l|0,c=c|0,u4e(s,pn(l)|0,c,0),s|0}function cOe(s,l,c){return s=s|0,l=l|0,c=c|0,jOe(s,pn(l)|0,c,0),s|0}function uOe(s,l,c){return s=s|0,l=l|0,c=c|0,SOe(s,pn(l)|0,c,0),s|0}function Y9(s,l){s=s|0,l=l|0;var c=0,f=0;e:for(;;){for(c=n[2703]|0;;){if((c|0)==(l|0))break e;if(f=n[c>>2]|0,n[2703]=f,!c)c=f;else break}gt(c)}n[2701]=s}function AOe(s,l,c){return s=s|0,l=l|0,c=c|0,fOe(s,pn(l)|0,c,0),s|0}function fOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=CT()|0,s=pOe(c)|0,hn(m,l,d,s,hOe(c,f)|0,f)}function CT(){var s=0,l=0;if(o[8040]|0||(V9(10860),tr(65,10860,U|0)|0,l=8040,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10860)|0)){s=10860,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));V9(10860)}return 10860}function pOe(s){return s=s|0,s|0}function hOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=CT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(W9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(gOe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function W9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function gOe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=dOe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,mOe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,W9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,yOe(s,d),EOe(d),C=k;return}}function dOe(s){return s=s|0,536870911}function mOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function yOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function EOe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function V9(s){s=s|0,IOe(s)}function COe(s){s=s|0,wOe(s+24|0)}function wOe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function IOe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,11,l,BOe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function BOe(){return 1840}function vOe(s,l,c){s=s|0,l=l|0,c=c|0,POe(n[(DOe(s)|0)>>2]|0,l,c)}function DOe(s){return s=s|0,(n[(CT()|0)+24>>2]|0)+(s<<3)|0}function POe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;f=C,C=C+16|0,m=f+1|0,d=f,Sg(m,l),l=xg(m,l)|0,Sg(d,c),c=xg(d,c)|0,tf[s&31](l,c),C=f}function SOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=wT()|0,s=xOe(c)|0,hn(m,l,d,s,bOe(c,f)|0,f)}function wT(){var s=0,l=0;if(o[8048]|0||(J9(10896),tr(66,10896,U|0)|0,l=8048,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10896)|0)){s=10896,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));J9(10896)}return 10896}function xOe(s){return s=s|0,s|0}function bOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=wT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(K9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(kOe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function K9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function kOe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=QOe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,FOe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,K9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,TOe(s,d),ROe(d),C=k;return}}function QOe(s){return s=s|0,536870911}function FOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function TOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function ROe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function J9(s){s=s|0,MOe(s)}function NOe(s){s=s|0,LOe(s+24|0)}function LOe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function MOe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,11,l,OOe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function OOe(){return 1852}function UOe(s,l){return s=s|0,l=l|0,HOe(n[(_Oe(s)|0)>>2]|0,l)|0}function _Oe(s){return s=s|0,(n[(wT()|0)+24>>2]|0)+(s<<3)|0}function HOe(s,l){s=s|0,l=l|0;var c=0,f=0;return c=C,C=C+16|0,f=c,Sg(f,l),l=xg(f,l)|0,l=oD(Ng[s&31](l)|0)|0,C=c,l|0}function jOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=IT()|0,s=qOe(c)|0,hn(m,l,d,s,GOe(c,f)|0,f)}function IT(){var s=0,l=0;if(o[8056]|0||(X9(10932),tr(67,10932,U|0)|0,l=8056,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10932)|0)){s=10932,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));X9(10932)}return 10932}function qOe(s){return s=s|0,s|0}function GOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=IT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(z9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(YOe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function z9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function YOe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=WOe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,VOe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,z9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,KOe(s,d),JOe(d),C=k;return}}function WOe(s){return s=s|0,536870911}function VOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function KOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function JOe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function X9(s){s=s|0,ZOe(s)}function zOe(s){s=s|0,XOe(s+24|0)}function XOe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function ZOe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,7,l,$Oe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function $Oe(){return 1860}function e4e(s,l,c){return s=s|0,l=l|0,c=c|0,r4e(n[(t4e(s)|0)>>2]|0,l,c)|0}function t4e(s){return s=s|0,(n[(IT()|0)+24>>2]|0)+(s<<3)|0}function r4e(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0;return f=C,C=C+32|0,B=f+12|0,m=f+8|0,k=f,Q=f+16|0,d=f+4|0,n4e(Q,l),i4e(k,Q,l),vp(d,c),c=Dp(d,c)|0,n[B>>2]=n[k>>2],_w[s&15](m,B,c),c=s4e(m)|0,qA(m),Pp(d),C=f,c|0}function n4e(s,l){s=s|0,l=l|0}function i4e(s,l,c){s=s|0,l=l|0,c=c|0,o4e(s,c)}function s4e(s){return s=s|0,da(s)|0}function o4e(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;d=C,C=C+16|0,c=d,f=l,f&1?(a4e(c,0),ii(f|0,c|0)|0,l4e(s,c),c4e(c)):n[s>>2]=n[l>>2],C=d}function a4e(s,l){s=s|0,l=l|0,e5(s,l),n[s+4>>2]=0,o[s+8>>0]=0}function l4e(s,l){s=s|0,l=l|0,n[s>>2]=n[l+4>>2]}function c4e(s){s=s|0,o[s+8>>0]=0}function u4e(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=BT()|0,s=A4e(c)|0,hn(m,l,d,s,f4e(c,f)|0,f)}function BT(){var s=0,l=0;if(o[8064]|0||($9(10968),tr(68,10968,U|0)|0,l=8064,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10968)|0)){s=10968,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));$9(10968)}return 10968}function A4e(s){return s=s|0,s|0}function f4e(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=BT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(Z9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(p4e(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function Z9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function p4e(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=h4e(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,g4e(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,Z9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,d4e(s,d),m4e(d),C=k;return}}function h4e(s){return s=s|0,536870911}function g4e(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function d4e(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function m4e(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function $9(s){s=s|0,C4e(s)}function y4e(s){s=s|0,E4e(s+24|0)}function E4e(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function C4e(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,1,l,w4e()|0,5),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function w4e(){return 1872}function I4e(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,v4e(n[(B4e(s)|0)>>2]|0,l,c,f,d,m)}function B4e(s){return s=s|0,(n[(BT()|0)+24>>2]|0)+(s<<3)|0}function v4e(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,O=0,M=0,q=0;B=C,C=C+32|0,k=B+16|0,Q=B+12|0,O=B+8|0,M=B+4|0,q=B,vp(k,l),l=Dp(k,l)|0,vp(Q,c),c=Dp(Q,c)|0,vp(O,f),f=Dp(O,f)|0,vp(M,d),d=Dp(M,d)|0,vp(q,m),m=Dp(q,m)|0,w7[s&1](l,c,f,d,m),Pp(q),Pp(M),Pp(O),Pp(Q),Pp(k),C=B}function D4e(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=vT()|0,s=P4e(c)|0,hn(m,l,d,s,S4e(c,f)|0,f)}function vT(){var s=0,l=0;if(o[8072]|0||(t7(11004),tr(69,11004,U|0)|0,l=8072,n[l>>2]=1,n[l+4>>2]=0),!(Rr(11004)|0)){s=11004,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));t7(11004)}return 11004}function P4e(s){return s=s|0,s|0}function S4e(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=vT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(e7(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(x4e(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function e7(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function x4e(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=b4e(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,k4e(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,e7(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,Q4e(s,d),F4e(d),C=k;return}}function b4e(s){return s=s|0,536870911}function k4e(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function Q4e(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function F4e(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function t7(s){s=s|0,N4e(s)}function T4e(s){s=s|0,R4e(s+24|0)}function R4e(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function N4e(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,12,l,L4e()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function L4e(){return 1896}function M4e(s,l,c){s=s|0,l=l|0,c=c|0,U4e(n[(O4e(s)|0)>>2]|0,l,c)}function O4e(s){return s=s|0,(n[(vT()|0)+24>>2]|0)+(s<<3)|0}function U4e(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;f=C,C=C+16|0,m=f+4|0,d=f,_4e(m,l),l=H4e(m,l)|0,vp(d,c),c=Dp(d,c)|0,tf[s&31](l,c),Pp(d),C=f}function _4e(s,l){s=s|0,l=l|0}function H4e(s,l){return s=s|0,l=l|0,j4e(l)|0}function j4e(s){return s=s|0,s|0}function q4e(){var s=0;return o[8080]|0||(r7(11040),tr(70,11040,U|0)|0,s=8080,n[s>>2]=1,n[s+4>>2]=0),Rr(11040)|0||r7(11040),11040}function r7(s){s=s|0,W4e(s),kg(s,71)}function G4e(s){s=s|0,Y4e(s+24|0)}function Y4e(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function W4e(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,7,l,z4e()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function V4e(s){s=s|0,K4e(s)}function K4e(s){s=s|0,J4e(s)}function J4e(s){s=s|0,o[s+8>>0]=1}function z4e(){return 1936}function X4e(){return Z4e()|0}function Z4e(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0;return l=C,C=C+16|0,d=l+4|0,B=l,c=Wa(8)|0,s=c,m=s+4|0,n[m>>2]=Vt(1)|0,f=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],$4e(f,m,d),n[c>>2]=f,C=l,s|0}function $4e(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Vt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1916,n[c+12>>2]=l,n[s+4>>2]=c}function eUe(s){s=s|0,Jm(s),gt(s)}function tUe(s){s=s|0,s=n[s+12>>2]|0,s|0&>(s)}function rUe(s){s=s|0,gt(s)}function nUe(){var s=0;return o[8088]|0||(uUe(11076),tr(25,11076,U|0)|0,s=8088,n[s>>2]=1,n[s+4>>2]=0),11076}function iUe(s,l){s=s|0,l=l|0,n[s>>2]=sUe()|0,n[s+4>>2]=oUe()|0,n[s+12>>2]=l,n[s+8>>2]=aUe()|0,n[s+32>>2]=10}function sUe(){return 11745}function oUe(){return 1940}function aUe(){return aD()|0}function lUe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(cUe(c),gt(c)):l|0&>(l)}function cUe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function uUe(s){s=s|0,Bp(s)}function xc(s,l){s=s|0,l=l|0,n[s>>2]=l}function DT(s){return s=s|0,n[s>>2]|0}function AUe(s){return s=s|0,o[n[s>>2]>>0]|0}function fUe(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,n[f>>2]=n[s>>2],pUe(l,f)|0,C=c}function pUe(s,l){s=s|0,l=l|0;var c=0;return c=hUe(n[s>>2]|0,l)|0,l=s+4|0,n[(n[l>>2]|0)+8>>2]=c,n[(n[l>>2]|0)+8>>2]|0}function hUe(s,l){s=s|0,l=l|0;var c=0,f=0;return c=C,C=C+16|0,f=c,Va(f),s=da(s)|0,l=gUe(s,n[l>>2]|0)|0,Ka(f),C=c,l|0}function Va(s){s=s|0,n[s>>2]=n[2701],n[s+4>>2]=n[2703]}function gUe(s,l){s=s|0,l=l|0;var c=0;return c=Pl(dUe()|0)|0,Qn(0,c|0,s|0,yT(l)|0)|0}function Ka(s){s=s|0,Y9(n[s>>2]|0,n[s+4>>2]|0)}function dUe(){var s=0;return o[8096]|0||(mUe(11120),s=8096,n[s>>2]=1,n[s+4>>2]=0),11120}function mUe(s){s=s|0,Sl(s,yUe()|0,1)}function yUe(){return 1948}function EUe(){CUe()}function CUe(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0;if(Oe=C,C=C+16|0,M=Oe+4|0,q=Oe,Ni(65536,10804,n[2702]|0,10812),c=P9()|0,l=n[c>>2]|0,s=n[l>>2]|0,s|0)for(f=n[c+8>>2]|0,c=n[c+4>>2]|0;uc(s|0,u[c>>0]|0|0,o[f>>0]|0),l=l+4|0,s=n[l>>2]|0,s;)f=f+1|0,c=c+1|0;if(s=S9()|0,l=n[s>>2]|0,l|0)do uu(l|0,n[s+4>>2]|0),s=s+8|0,l=n[s>>2]|0;while((l|0)!=0);uu(wUe()|0,5167),O=Gm()|0,s=n[O>>2]|0;e:do if(s|0){do IUe(n[s+4>>2]|0),s=n[s>>2]|0;while((s|0)!=0);if(s=n[O>>2]|0,s|0){Q=O;do{for(;d=s,s=n[s>>2]|0,d=n[d+4>>2]|0,!!(BUe(d)|0);)if(n[q>>2]=Q,n[M>>2]=n[q>>2],vUe(O,M)|0,!s)break e;if(DUe(d),Q=n[Q>>2]|0,l=n7(d)|0,m=Hi()|0,B=C,C=C+((1*(l<<2)|0)+15&-16)|0,k=C,C=C+((1*(l<<2)|0)+15&-16)|0,l=n[(U9(d)|0)>>2]|0,l|0)for(c=B,f=k;n[c>>2]=n[(Ym(n[l+4>>2]|0)|0)>>2],n[f>>2]=n[l+8>>2],l=n[l>>2]|0,l;)c=c+4|0,f=f+4|0;Fe=Ym(d)|0,l=PUe(d)|0,c=n7(d)|0,f=SUe(d)|0,Au(Fe|0,l|0,B|0,k|0,c|0,f|0,fT(d)|0),_i(m|0)}while((s|0)!=0)}}while(0);if(s=n[(pT()|0)>>2]|0,s|0)do Fe=s+4|0,O=hT(Fe)|0,d=Lw(O)|0,m=Rw(O)|0,B=(Nw(O)|0)+1|0,k=fD(O)|0,Q=i7(Fe)|0,O=Rr(O)|0,M=cD(Fe)|0,q=PT(Fe)|0,El(0,d|0,m|0,B|0,k|0,Q|0,O|0,M|0,q|0,ST(Fe)|0),s=n[s>>2]|0;while((s|0)!=0);s=n[(Gm()|0)>>2]|0;e:do if(s|0){t:for(;;){if(l=n[s+4>>2]|0,l|0&&(se=n[(Ym(l)|0)>>2]|0,Ge=n[(_9(l)|0)>>2]|0,Ge|0)){c=Ge;do{l=c+4|0,f=hT(l)|0;r:do if(f|0)switch(Rr(f)|0){case 0:break t;case 4:case 3:case 2:{k=Lw(f)|0,Q=Rw(f)|0,O=(Nw(f)|0)+1|0,M=fD(f)|0,q=Rr(f)|0,Fe=cD(l)|0,El(se|0,k|0,Q|0,O|0,M|0,0,q|0,Fe|0,PT(l)|0,ST(l)|0);break r}case 1:{B=Lw(f)|0,k=Rw(f)|0,Q=(Nw(f)|0)+1|0,O=fD(f)|0,M=i7(l)|0,q=Rr(f)|0,Fe=cD(l)|0,El(se|0,B|0,k|0,Q|0,O|0,M|0,q|0,Fe|0,PT(l)|0,ST(l)|0);break r}case 5:{O=Lw(f)|0,M=Rw(f)|0,q=(Nw(f)|0)+1|0,Fe=fD(f)|0,El(se|0,O|0,M|0,q|0,Fe|0,xUe(f)|0,Rr(f)|0,0,0,0);break r}default:break r}while(0);c=n[c>>2]|0}while((c|0)!=0)}if(s=n[s>>2]|0,!s)break e}Tt()}while(0);Ce(),C=Oe}function wUe(){return 11703}function IUe(s){s=s|0,o[s+40>>0]=0}function BUe(s){return s=s|0,(o[s+40>>0]|0)!=0|0}function vUe(s,l){return s=s|0,l=l|0,l=bUe(l)|0,s=n[l>>2]|0,n[l>>2]=n[s>>2],gt(s),n[l>>2]|0}function DUe(s){s=s|0,o[s+40>>0]=1}function n7(s){return s=s|0,n[s+20>>2]|0}function PUe(s){return s=s|0,n[s+8>>2]|0}function SUe(s){return s=s|0,n[s+32>>2]|0}function fD(s){return s=s|0,n[s+4>>2]|0}function i7(s){return s=s|0,n[s+4>>2]|0}function PT(s){return s=s|0,n[s+8>>2]|0}function ST(s){return s=s|0,n[s+16>>2]|0}function xUe(s){return s=s|0,n[s+20>>2]|0}function bUe(s){return s=s|0,n[s>>2]|0}function pD(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0,at=0,Ue=0,qe=0,Lt=0;Lt=C,C=C+16|0,se=Lt;do if(s>>>0<245){if(O=s>>>0<11?16:s+11&-8,s=O>>>3,q=n[2783]|0,c=q>>>s,c&3|0)return l=(c&1^1)+s|0,s=11172+(l<<1<<2)|0,c=s+8|0,f=n[c>>2]|0,d=f+8|0,m=n[d>>2]|0,(s|0)==(m|0)?n[2783]=q&~(1<<l):(n[m+12>>2]=s,n[c>>2]=m),qe=l<<3,n[f+4>>2]=qe|3,qe=f+qe+4|0,n[qe>>2]=n[qe>>2]|1,qe=d,C=Lt,qe|0;if(M=n[2785]|0,O>>>0>M>>>0){if(c|0)return l=2<<s,l=c<<s&(l|0-l),l=(l&0-l)+-1|0,B=l>>>12&16,l=l>>>B,c=l>>>5&8,l=l>>>c,d=l>>>2&4,l=l>>>d,s=l>>>1&2,l=l>>>s,f=l>>>1&1,f=(c|B|d|s|f)+(l>>>f)|0,l=11172+(f<<1<<2)|0,s=l+8|0,d=n[s>>2]|0,B=d+8|0,c=n[B>>2]|0,(l|0)==(c|0)?(s=q&~(1<<f),n[2783]=s):(n[c+12>>2]=l,n[s>>2]=c,s=q),m=(f<<3)-O|0,n[d+4>>2]=O|3,f=d+O|0,n[f+4>>2]=m|1,n[f+m>>2]=m,M|0&&(d=n[2788]|0,l=M>>>3,c=11172+(l<<1<<2)|0,l=1<<l,s&l?(s=c+8|0,l=n[s>>2]|0):(n[2783]=s|l,l=c,s=c+8|0),n[s>>2]=d,n[l+12>>2]=d,n[d+8>>2]=l,n[d+12>>2]=c),n[2785]=m,n[2788]=f,qe=B,C=Lt,qe|0;if(k=n[2784]|0,k){if(c=(k&0-k)+-1|0,B=c>>>12&16,c=c>>>B,m=c>>>5&8,c=c>>>m,Q=c>>>2&4,c=c>>>Q,f=c>>>1&2,c=c>>>f,s=c>>>1&1,s=n[11436+((m|B|Q|f|s)+(c>>>s)<<2)>>2]|0,c=(n[s+4>>2]&-8)-O|0,f=n[s+16+(((n[s+16>>2]|0)==0&1)<<2)>>2]|0,!f)Q=s,m=c;else{do B=(n[f+4>>2]&-8)-O|0,Q=B>>>0<c>>>0,c=Q?B:c,s=Q?f:s,f=n[f+16+(((n[f+16>>2]|0)==0&1)<<2)>>2]|0;while((f|0)!=0);Q=s,m=c}if(B=Q+O|0,Q>>>0<B>>>0){d=n[Q+24>>2]|0,l=n[Q+12>>2]|0;do if((l|0)==(Q|0)){if(s=Q+20|0,l=n[s>>2]|0,!l&&(s=Q+16|0,l=n[s>>2]|0,!l)){c=0;break}for(;;){if(c=l+20|0,f=n[c>>2]|0,f|0){l=f,s=c;continue}if(c=l+16|0,f=n[c>>2]|0,f)l=f,s=c;else break}n[s>>2]=0,c=l}else c=n[Q+8>>2]|0,n[c+12>>2]=l,n[l+8>>2]=c,c=l;while(0);do if(d|0){if(l=n[Q+28>>2]|0,s=11436+(l<<2)|0,(Q|0)==(n[s>>2]|0)){if(n[s>>2]=c,!c){n[2784]=k&~(1<<l);break}}else if(n[d+16+(((n[d+16>>2]|0)!=(Q|0)&1)<<2)>>2]=c,!c)break;n[c+24>>2]=d,l=n[Q+16>>2]|0,l|0&&(n[c+16>>2]=l,n[l+24>>2]=c),l=n[Q+20>>2]|0,l|0&&(n[c+20>>2]=l,n[l+24>>2]=c)}while(0);return m>>>0<16?(qe=m+O|0,n[Q+4>>2]=qe|3,qe=Q+qe+4|0,n[qe>>2]=n[qe>>2]|1):(n[Q+4>>2]=O|3,n[B+4>>2]=m|1,n[B+m>>2]=m,M|0&&(f=n[2788]|0,l=M>>>3,c=11172+(l<<1<<2)|0,l=1<<l,q&l?(s=c+8|0,l=n[s>>2]|0):(n[2783]=q|l,l=c,s=c+8|0),n[s>>2]=f,n[l+12>>2]=f,n[f+8>>2]=l,n[f+12>>2]=c),n[2785]=m,n[2788]=B),qe=Q+8|0,C=Lt,qe|0}else q=O}else q=O}else q=O}else if(s>>>0<=4294967231)if(s=s+11|0,O=s&-8,Q=n[2784]|0,Q){f=0-O|0,s=s>>>8,s?O>>>0>16777215?k=31:(q=(s+1048320|0)>>>16&8,Ue=s<<q,M=(Ue+520192|0)>>>16&4,Ue=Ue<<M,k=(Ue+245760|0)>>>16&2,k=14-(M|q|k)+(Ue<<k>>>15)|0,k=O>>>(k+7|0)&1|k<<1):k=0,c=n[11436+(k<<2)>>2]|0;e:do if(!c)c=0,s=0,Ue=57;else for(s=0,B=O<<((k|0)==31?0:25-(k>>>1)|0),m=0;;){if(d=(n[c+4>>2]&-8)-O|0,d>>>0<f>>>0)if(d)s=c,f=d;else{s=c,f=0,d=c,Ue=61;break e}if(d=n[c+20>>2]|0,c=n[c+16+(B>>>31<<2)>>2]|0,m=(d|0)==0|(d|0)==(c|0)?m:d,d=(c|0)==0,d){c=m,Ue=57;break}else B=B<<((d^1)&1)}while(0);if((Ue|0)==57){if((c|0)==0&(s|0)==0){if(s=2<<k,s=Q&(s|0-s),!s){q=O;break}q=(s&0-s)+-1|0,B=q>>>12&16,q=q>>>B,m=q>>>5&8,q=q>>>m,k=q>>>2&4,q=q>>>k,M=q>>>1&2,q=q>>>M,c=q>>>1&1,s=0,c=n[11436+((m|B|k|M|c)+(q>>>c)<<2)>>2]|0}c?(d=c,Ue=61):(k=s,B=f)}if((Ue|0)==61)for(;;)if(Ue=0,c=(n[d+4>>2]&-8)-O|0,q=c>>>0<f>>>0,c=q?c:f,s=q?d:s,d=n[d+16+(((n[d+16>>2]|0)==0&1)<<2)>>2]|0,d)f=c,Ue=61;else{k=s,B=c;break}if((k|0)!=0&&B>>>0<((n[2785]|0)-O|0)>>>0){if(m=k+O|0,k>>>0>=m>>>0)return qe=0,C=Lt,qe|0;d=n[k+24>>2]|0,l=n[k+12>>2]|0;do if((l|0)==(k|0)){if(s=k+20|0,l=n[s>>2]|0,!l&&(s=k+16|0,l=n[s>>2]|0,!l)){l=0;break}for(;;){if(c=l+20|0,f=n[c>>2]|0,f|0){l=f,s=c;continue}if(c=l+16|0,f=n[c>>2]|0,f)l=f,s=c;else break}n[s>>2]=0}else qe=n[k+8>>2]|0,n[qe+12>>2]=l,n[l+8>>2]=qe;while(0);do if(d){if(s=n[k+28>>2]|0,c=11436+(s<<2)|0,(k|0)==(n[c>>2]|0)){if(n[c>>2]=l,!l){f=Q&~(1<<s),n[2784]=f;break}}else if(n[d+16+(((n[d+16>>2]|0)!=(k|0)&1)<<2)>>2]=l,!l){f=Q;break}n[l+24>>2]=d,s=n[k+16>>2]|0,s|0&&(n[l+16>>2]=s,n[s+24>>2]=l),s=n[k+20>>2]|0,s&&(n[l+20>>2]=s,n[s+24>>2]=l),f=Q}else f=Q;while(0);do if(B>>>0>=16){if(n[k+4>>2]=O|3,n[m+4>>2]=B|1,n[m+B>>2]=B,l=B>>>3,B>>>0<256){c=11172+(l<<1<<2)|0,s=n[2783]|0,l=1<<l,s&l?(s=c+8|0,l=n[s>>2]|0):(n[2783]=s|l,l=c,s=c+8|0),n[s>>2]=m,n[l+12>>2]=m,n[m+8>>2]=l,n[m+12>>2]=c;break}if(l=B>>>8,l?B>>>0>16777215?l=31:(Ue=(l+1048320|0)>>>16&8,qe=l<<Ue,at=(qe+520192|0)>>>16&4,qe=qe<<at,l=(qe+245760|0)>>>16&2,l=14-(at|Ue|l)+(qe<<l>>>15)|0,l=B>>>(l+7|0)&1|l<<1):l=0,c=11436+(l<<2)|0,n[m+28>>2]=l,s=m+16|0,n[s+4>>2]=0,n[s>>2]=0,s=1<<l,!(f&s)){n[2784]=f|s,n[c>>2]=m,n[m+24>>2]=c,n[m+12>>2]=m,n[m+8>>2]=m;break}for(s=B<<((l|0)==31?0:25-(l>>>1)|0),c=n[c>>2]|0;;){if((n[c+4>>2]&-8|0)==(B|0)){Ue=97;break}if(f=c+16+(s>>>31<<2)|0,l=n[f>>2]|0,l)s=s<<1,c=l;else{Ue=96;break}}if((Ue|0)==96){n[f>>2]=m,n[m+24>>2]=c,n[m+12>>2]=m,n[m+8>>2]=m;break}else if((Ue|0)==97){Ue=c+8|0,qe=n[Ue>>2]|0,n[qe+12>>2]=m,n[Ue>>2]=m,n[m+8>>2]=qe,n[m+12>>2]=c,n[m+24>>2]=0;break}}else qe=B+O|0,n[k+4>>2]=qe|3,qe=k+qe+4|0,n[qe>>2]=n[qe>>2]|1;while(0);return qe=k+8|0,C=Lt,qe|0}else q=O}else q=O;else q=-1;while(0);if(c=n[2785]|0,c>>>0>=q>>>0)return l=c-q|0,s=n[2788]|0,l>>>0>15?(qe=s+q|0,n[2788]=qe,n[2785]=l,n[qe+4>>2]=l|1,n[qe+l>>2]=l,n[s+4>>2]=q|3):(n[2785]=0,n[2788]=0,n[s+4>>2]=c|3,qe=s+c+4|0,n[qe>>2]=n[qe>>2]|1),qe=s+8|0,C=Lt,qe|0;if(B=n[2786]|0,B>>>0>q>>>0)return at=B-q|0,n[2786]=at,qe=n[2789]|0,Ue=qe+q|0,n[2789]=Ue,n[Ue+4>>2]=at|1,n[qe+4>>2]=q|3,qe=qe+8|0,C=Lt,qe|0;if(n[2901]|0?s=n[2903]|0:(n[2903]=4096,n[2902]=4096,n[2904]=-1,n[2905]=-1,n[2906]=0,n[2894]=0,s=se&-16^1431655768,n[se>>2]=s,n[2901]=s,s=4096),k=q+48|0,Q=q+47|0,m=s+Q|0,d=0-s|0,O=m&d,O>>>0<=q>>>0||(s=n[2893]|0,s|0&&(M=n[2891]|0,se=M+O|0,se>>>0<=M>>>0|se>>>0>s>>>0)))return qe=0,C=Lt,qe|0;e:do if(n[2894]&4)l=0,Ue=133;else{c=n[2789]|0;t:do if(c){for(f=11580;s=n[f>>2]|0,!(s>>>0<=c>>>0&&(Fe=f+4|0,(s+(n[Fe>>2]|0)|0)>>>0>c>>>0));)if(s=n[f+8>>2]|0,s)f=s;else{Ue=118;break t}if(l=m-B&d,l>>>0<2147483647)if(s=kp(l|0)|0,(s|0)==((n[f>>2]|0)+(n[Fe>>2]|0)|0)){if((s|0)!=-1){B=l,m=s,Ue=135;break e}}else f=s,Ue=126;else l=0}else Ue=118;while(0);do if((Ue|0)==118)if(c=kp(0)|0,(c|0)!=-1&&(l=c,Ge=n[2902]|0,Oe=Ge+-1|0,l=((Oe&l|0)==0?0:(Oe+l&0-Ge)-l|0)+O|0,Ge=n[2891]|0,Oe=l+Ge|0,l>>>0>q>>>0&l>>>0<2147483647)){if(Fe=n[2893]|0,Fe|0&&Oe>>>0<=Ge>>>0|Oe>>>0>Fe>>>0){l=0;break}if(s=kp(l|0)|0,(s|0)==(c|0)){B=l,m=c,Ue=135;break e}else f=s,Ue=126}else l=0;while(0);do if((Ue|0)==126){if(c=0-l|0,!(k>>>0>l>>>0&(l>>>0<2147483647&(f|0)!=-1)))if((f|0)==-1){l=0;break}else{B=l,m=f,Ue=135;break e}if(s=n[2903]|0,s=Q-l+s&0-s,s>>>0>=2147483647){B=l,m=f,Ue=135;break e}if((kp(s|0)|0)==-1){kp(c|0)|0,l=0;break}else{B=s+l|0,m=f,Ue=135;break e}}while(0);n[2894]=n[2894]|4,Ue=133}while(0);if((Ue|0)==133&&O>>>0<2147483647&&(at=kp(O|0)|0,Fe=kp(0)|0,et=Fe-at|0,Xe=et>>>0>(q+40|0)>>>0,!((at|0)==-1|Xe^1|at>>>0<Fe>>>0&((at|0)!=-1&(Fe|0)!=-1)^1))&&(B=Xe?et:l,m=at,Ue=135),(Ue|0)==135){l=(n[2891]|0)+B|0,n[2891]=l,l>>>0>(n[2892]|0)>>>0&&(n[2892]=l),Q=n[2789]|0;do if(Q){for(l=11580;;){if(s=n[l>>2]|0,c=l+4|0,f=n[c>>2]|0,(m|0)==(s+f|0)){Ue=145;break}if(d=n[l+8>>2]|0,d)l=d;else break}if((Ue|0)==145&&(n[l+12>>2]&8|0)==0&&Q>>>0<m>>>0&Q>>>0>=s>>>0){n[c>>2]=f+B,qe=Q+8|0,qe=(qe&7|0)==0?0:0-qe&7,Ue=Q+qe|0,qe=(n[2786]|0)+(B-qe)|0,n[2789]=Ue,n[2786]=qe,n[Ue+4>>2]=qe|1,n[Ue+qe+4>>2]=40,n[2790]=n[2905];break}for(m>>>0<(n[2787]|0)>>>0&&(n[2787]=m),c=m+B|0,l=11580;;){if((n[l>>2]|0)==(c|0)){Ue=153;break}if(s=n[l+8>>2]|0,s)l=s;else break}if((Ue|0)==153&&(n[l+12>>2]&8|0)==0){n[l>>2]=m,M=l+4|0,n[M>>2]=(n[M>>2]|0)+B,M=m+8|0,M=m+((M&7|0)==0?0:0-M&7)|0,l=c+8|0,l=c+((l&7|0)==0?0:0-l&7)|0,O=M+q|0,k=l-M-q|0,n[M+4>>2]=q|3;do if((l|0)!=(Q|0)){if((l|0)==(n[2788]|0)){qe=(n[2785]|0)+k|0,n[2785]=qe,n[2788]=O,n[O+4>>2]=qe|1,n[O+qe>>2]=qe;break}if(s=n[l+4>>2]|0,(s&3|0)==1){B=s&-8,f=s>>>3;e:do if(s>>>0<256)if(s=n[l+8>>2]|0,c=n[l+12>>2]|0,(c|0)==(s|0)){n[2783]=n[2783]&~(1<<f);break}else{n[s+12>>2]=c,n[c+8>>2]=s;break}else{m=n[l+24>>2]|0,s=n[l+12>>2]|0;do if((s|0)==(l|0)){if(f=l+16|0,c=f+4|0,s=n[c>>2]|0,!s)if(s=n[f>>2]|0,s)c=f;else{s=0;break}for(;;){if(f=s+20|0,d=n[f>>2]|0,d|0){s=d,c=f;continue}if(f=s+16|0,d=n[f>>2]|0,d)s=d,c=f;else break}n[c>>2]=0}else qe=n[l+8>>2]|0,n[qe+12>>2]=s,n[s+8>>2]=qe;while(0);if(!m)break;c=n[l+28>>2]|0,f=11436+(c<<2)|0;do if((l|0)!=(n[f>>2]|0)){if(n[m+16+(((n[m+16>>2]|0)!=(l|0)&1)<<2)>>2]=s,!s)break e}else{if(n[f>>2]=s,s|0)break;n[2784]=n[2784]&~(1<<c);break e}while(0);if(n[s+24>>2]=m,c=l+16|0,f=n[c>>2]|0,f|0&&(n[s+16>>2]=f,n[f+24>>2]=s),c=n[c+4>>2]|0,!c)break;n[s+20>>2]=c,n[c+24>>2]=s}while(0);l=l+B|0,d=B+k|0}else d=k;if(l=l+4|0,n[l>>2]=n[l>>2]&-2,n[O+4>>2]=d|1,n[O+d>>2]=d,l=d>>>3,d>>>0<256){c=11172+(l<<1<<2)|0,s=n[2783]|0,l=1<<l,s&l?(s=c+8|0,l=n[s>>2]|0):(n[2783]=s|l,l=c,s=c+8|0),n[s>>2]=O,n[l+12>>2]=O,n[O+8>>2]=l,n[O+12>>2]=c;break}l=d>>>8;do if(!l)l=0;else{if(d>>>0>16777215){l=31;break}Ue=(l+1048320|0)>>>16&8,qe=l<<Ue,at=(qe+520192|0)>>>16&4,qe=qe<<at,l=(qe+245760|0)>>>16&2,l=14-(at|Ue|l)+(qe<<l>>>15)|0,l=d>>>(l+7|0)&1|l<<1}while(0);if(f=11436+(l<<2)|0,n[O+28>>2]=l,s=O+16|0,n[s+4>>2]=0,n[s>>2]=0,s=n[2784]|0,c=1<<l,!(s&c)){n[2784]=s|c,n[f>>2]=O,n[O+24>>2]=f,n[O+12>>2]=O,n[O+8>>2]=O;break}for(s=d<<((l|0)==31?0:25-(l>>>1)|0),c=n[f>>2]|0;;){if((n[c+4>>2]&-8|0)==(d|0)){Ue=194;break}if(f=c+16+(s>>>31<<2)|0,l=n[f>>2]|0,l)s=s<<1,c=l;else{Ue=193;break}}if((Ue|0)==193){n[f>>2]=O,n[O+24>>2]=c,n[O+12>>2]=O,n[O+8>>2]=O;break}else if((Ue|0)==194){Ue=c+8|0,qe=n[Ue>>2]|0,n[qe+12>>2]=O,n[Ue>>2]=O,n[O+8>>2]=qe,n[O+12>>2]=c,n[O+24>>2]=0;break}}else qe=(n[2786]|0)+k|0,n[2786]=qe,n[2789]=O,n[O+4>>2]=qe|1;while(0);return qe=M+8|0,C=Lt,qe|0}for(l=11580;s=n[l>>2]|0,!(s>>>0<=Q>>>0&&(qe=s+(n[l+4>>2]|0)|0,qe>>>0>Q>>>0));)l=n[l+8>>2]|0;d=qe+-47|0,s=d+8|0,s=d+((s&7|0)==0?0:0-s&7)|0,d=Q+16|0,s=s>>>0<d>>>0?Q:s,l=s+8|0,c=m+8|0,c=(c&7|0)==0?0:0-c&7,Ue=m+c|0,c=B+-40-c|0,n[2789]=Ue,n[2786]=c,n[Ue+4>>2]=c|1,n[Ue+c+4>>2]=40,n[2790]=n[2905],c=s+4|0,n[c>>2]=27,n[l>>2]=n[2895],n[l+4>>2]=n[2896],n[l+8>>2]=n[2897],n[l+12>>2]=n[2898],n[2895]=m,n[2896]=B,n[2898]=0,n[2897]=l,l=s+24|0;do Ue=l,l=l+4|0,n[l>>2]=7;while((Ue+8|0)>>>0<qe>>>0);if((s|0)!=(Q|0)){if(m=s-Q|0,n[c>>2]=n[c>>2]&-2,n[Q+4>>2]=m|1,n[s>>2]=m,l=m>>>3,m>>>0<256){c=11172+(l<<1<<2)|0,s=n[2783]|0,l=1<<l,s&l?(s=c+8|0,l=n[s>>2]|0):(n[2783]=s|l,l=c,s=c+8|0),n[s>>2]=Q,n[l+12>>2]=Q,n[Q+8>>2]=l,n[Q+12>>2]=c;break}if(l=m>>>8,l?m>>>0>16777215?c=31:(Ue=(l+1048320|0)>>>16&8,qe=l<<Ue,at=(qe+520192|0)>>>16&4,qe=qe<<at,c=(qe+245760|0)>>>16&2,c=14-(at|Ue|c)+(qe<<c>>>15)|0,c=m>>>(c+7|0)&1|c<<1):c=0,f=11436+(c<<2)|0,n[Q+28>>2]=c,n[Q+20>>2]=0,n[d>>2]=0,l=n[2784]|0,s=1<<c,!(l&s)){n[2784]=l|s,n[f>>2]=Q,n[Q+24>>2]=f,n[Q+12>>2]=Q,n[Q+8>>2]=Q;break}for(s=m<<((c|0)==31?0:25-(c>>>1)|0),c=n[f>>2]|0;;){if((n[c+4>>2]&-8|0)==(m|0)){Ue=216;break}if(f=c+16+(s>>>31<<2)|0,l=n[f>>2]|0,l)s=s<<1,c=l;else{Ue=215;break}}if((Ue|0)==215){n[f>>2]=Q,n[Q+24>>2]=c,n[Q+12>>2]=Q,n[Q+8>>2]=Q;break}else if((Ue|0)==216){Ue=c+8|0,qe=n[Ue>>2]|0,n[qe+12>>2]=Q,n[Ue>>2]=Q,n[Q+8>>2]=qe,n[Q+12>>2]=c,n[Q+24>>2]=0;break}}}else{qe=n[2787]|0,(qe|0)==0|m>>>0<qe>>>0&&(n[2787]=m),n[2895]=m,n[2896]=B,n[2898]=0,n[2792]=n[2901],n[2791]=-1,l=0;do qe=11172+(l<<1<<2)|0,n[qe+12>>2]=qe,n[qe+8>>2]=qe,l=l+1|0;while((l|0)!=32);qe=m+8|0,qe=(qe&7|0)==0?0:0-qe&7,Ue=m+qe|0,qe=B+-40-qe|0,n[2789]=Ue,n[2786]=qe,n[Ue+4>>2]=qe|1,n[Ue+qe+4>>2]=40,n[2790]=n[2905]}while(0);if(l=n[2786]|0,l>>>0>q>>>0)return at=l-q|0,n[2786]=at,qe=n[2789]|0,Ue=qe+q|0,n[2789]=Ue,n[Ue+4>>2]=at|1,n[qe+4>>2]=q|3,qe=qe+8|0,C=Lt,qe|0}return n[(Vm()|0)>>2]=12,qe=0,C=Lt,qe|0}function hD(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0;if(!!s){c=s+-8|0,d=n[2787]|0,s=n[s+-4>>2]|0,l=s&-8,Q=c+l|0;do if(s&1)k=c,B=c;else{if(f=n[c>>2]|0,!(s&3)||(B=c+(0-f)|0,m=f+l|0,B>>>0<d>>>0))return;if((B|0)==(n[2788]|0)){if(s=Q+4|0,l=n[s>>2]|0,(l&3|0)!=3){k=B,l=m;break}n[2785]=m,n[s>>2]=l&-2,n[B+4>>2]=m|1,n[B+m>>2]=m;return}if(c=f>>>3,f>>>0<256)if(s=n[B+8>>2]|0,l=n[B+12>>2]|0,(l|0)==(s|0)){n[2783]=n[2783]&~(1<<c),k=B,l=m;break}else{n[s+12>>2]=l,n[l+8>>2]=s,k=B,l=m;break}d=n[B+24>>2]|0,s=n[B+12>>2]|0;do if((s|0)==(B|0)){if(c=B+16|0,l=c+4|0,s=n[l>>2]|0,!s)if(s=n[c>>2]|0,s)l=c;else{s=0;break}for(;;){if(c=s+20|0,f=n[c>>2]|0,f|0){s=f,l=c;continue}if(c=s+16|0,f=n[c>>2]|0,f)s=f,l=c;else break}n[l>>2]=0}else k=n[B+8>>2]|0,n[k+12>>2]=s,n[s+8>>2]=k;while(0);if(d){if(l=n[B+28>>2]|0,c=11436+(l<<2)|0,(B|0)==(n[c>>2]|0)){if(n[c>>2]=s,!s){n[2784]=n[2784]&~(1<<l),k=B,l=m;break}}else if(n[d+16+(((n[d+16>>2]|0)!=(B|0)&1)<<2)>>2]=s,!s){k=B,l=m;break}n[s+24>>2]=d,l=B+16|0,c=n[l>>2]|0,c|0&&(n[s+16>>2]=c,n[c+24>>2]=s),l=n[l+4>>2]|0,l?(n[s+20>>2]=l,n[l+24>>2]=s,k=B,l=m):(k=B,l=m)}else k=B,l=m}while(0);if(!(B>>>0>=Q>>>0)&&(s=Q+4|0,f=n[s>>2]|0,!!(f&1))){if(f&2)n[s>>2]=f&-2,n[k+4>>2]=l|1,n[B+l>>2]=l,d=l;else{if(s=n[2788]|0,(Q|0)==(n[2789]|0)){if(Q=(n[2786]|0)+l|0,n[2786]=Q,n[2789]=k,n[k+4>>2]=Q|1,(k|0)!=(s|0))return;n[2788]=0,n[2785]=0;return}if((Q|0)==(s|0)){Q=(n[2785]|0)+l|0,n[2785]=Q,n[2788]=B,n[k+4>>2]=Q|1,n[B+Q>>2]=Q;return}d=(f&-8)+l|0,c=f>>>3;do if(f>>>0<256)if(l=n[Q+8>>2]|0,s=n[Q+12>>2]|0,(s|0)==(l|0)){n[2783]=n[2783]&~(1<<c);break}else{n[l+12>>2]=s,n[s+8>>2]=l;break}else{m=n[Q+24>>2]|0,s=n[Q+12>>2]|0;do if((s|0)==(Q|0)){if(c=Q+16|0,l=c+4|0,s=n[l>>2]|0,!s)if(s=n[c>>2]|0,s)l=c;else{c=0;break}for(;;){if(c=s+20|0,f=n[c>>2]|0,f|0){s=f,l=c;continue}if(c=s+16|0,f=n[c>>2]|0,f)s=f,l=c;else break}n[l>>2]=0,c=s}else c=n[Q+8>>2]|0,n[c+12>>2]=s,n[s+8>>2]=c,c=s;while(0);if(m|0){if(s=n[Q+28>>2]|0,l=11436+(s<<2)|0,(Q|0)==(n[l>>2]|0)){if(n[l>>2]=c,!c){n[2784]=n[2784]&~(1<<s);break}}else if(n[m+16+(((n[m+16>>2]|0)!=(Q|0)&1)<<2)>>2]=c,!c)break;n[c+24>>2]=m,s=Q+16|0,l=n[s>>2]|0,l|0&&(n[c+16>>2]=l,n[l+24>>2]=c),s=n[s+4>>2]|0,s|0&&(n[c+20>>2]=s,n[s+24>>2]=c)}}while(0);if(n[k+4>>2]=d|1,n[B+d>>2]=d,(k|0)==(n[2788]|0)){n[2785]=d;return}}if(s=d>>>3,d>>>0<256){c=11172+(s<<1<<2)|0,l=n[2783]|0,s=1<<s,l&s?(l=c+8|0,s=n[l>>2]|0):(n[2783]=l|s,s=c,l=c+8|0),n[l>>2]=k,n[s+12>>2]=k,n[k+8>>2]=s,n[k+12>>2]=c;return}s=d>>>8,s?d>>>0>16777215?s=31:(B=(s+1048320|0)>>>16&8,Q=s<<B,m=(Q+520192|0)>>>16&4,Q=Q<<m,s=(Q+245760|0)>>>16&2,s=14-(m|B|s)+(Q<<s>>>15)|0,s=d>>>(s+7|0)&1|s<<1):s=0,f=11436+(s<<2)|0,n[k+28>>2]=s,n[k+20>>2]=0,n[k+16>>2]=0,l=n[2784]|0,c=1<<s;do if(l&c){for(l=d<<((s|0)==31?0:25-(s>>>1)|0),c=n[f>>2]|0;;){if((n[c+4>>2]&-8|0)==(d|0)){s=73;break}if(f=c+16+(l>>>31<<2)|0,s=n[f>>2]|0,s)l=l<<1,c=s;else{s=72;break}}if((s|0)==72){n[f>>2]=k,n[k+24>>2]=c,n[k+12>>2]=k,n[k+8>>2]=k;break}else if((s|0)==73){B=c+8|0,Q=n[B>>2]|0,n[Q+12>>2]=k,n[B>>2]=k,n[k+8>>2]=Q,n[k+12>>2]=c,n[k+24>>2]=0;break}}else n[2784]=l|c,n[f>>2]=k,n[k+24>>2]=f,n[k+12>>2]=k,n[k+8>>2]=k;while(0);if(Q=(n[2791]|0)+-1|0,n[2791]=Q,!Q)s=11588;else return;for(;s=n[s>>2]|0,s;)s=s+8|0;n[2791]=-1}}}function kUe(){return 11628}function QUe(s){s=s|0;var l=0,c=0;return l=C,C=C+16|0,c=l,n[c>>2]=RUe(n[s+60>>2]|0)|0,s=gD(hc(6,c|0)|0)|0,C=l,s|0}function s7(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0;q=C,C=C+48|0,O=q+16|0,m=q,d=q+32|0,k=s+28|0,f=n[k>>2]|0,n[d>>2]=f,Q=s+20|0,f=(n[Q>>2]|0)-f|0,n[d+4>>2]=f,n[d+8>>2]=l,n[d+12>>2]=c,f=f+c|0,B=s+60|0,n[m>>2]=n[B>>2],n[m+4>>2]=d,n[m+8>>2]=2,m=gD(Li(146,m|0)|0)|0;e:do if((f|0)!=(m|0)){for(l=2;!((m|0)<0);)if(f=f-m|0,Ge=n[d+4>>2]|0,se=m>>>0>Ge>>>0,d=se?d+8|0:d,l=(se<<31>>31)+l|0,Ge=m-(se?Ge:0)|0,n[d>>2]=(n[d>>2]|0)+Ge,se=d+4|0,n[se>>2]=(n[se>>2]|0)-Ge,n[O>>2]=n[B>>2],n[O+4>>2]=d,n[O+8>>2]=l,m=gD(Li(146,O|0)|0)|0,(f|0)==(m|0)){M=3;break e}n[s+16>>2]=0,n[k>>2]=0,n[Q>>2]=0,n[s>>2]=n[s>>2]|32,(l|0)==2?c=0:c=c-(n[d+4>>2]|0)|0}else M=3;while(0);return(M|0)==3&&(Ge=n[s+44>>2]|0,n[s+16>>2]=Ge+(n[s+48>>2]|0),n[k>>2]=Ge,n[Q>>2]=Ge),C=q,c|0}function FUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;return d=C,C=C+32|0,m=d,f=d+20|0,n[m>>2]=n[s+60>>2],n[m+4>>2]=0,n[m+8>>2]=l,n[m+12>>2]=f,n[m+16>>2]=c,(gD(sa(140,m|0)|0)|0)<0?(n[f>>2]=-1,s=-1):s=n[f>>2]|0,C=d,s|0}function gD(s){return s=s|0,s>>>0>4294963200&&(n[(Vm()|0)>>2]=0-s,s=-1),s|0}function Vm(){return(TUe()|0)+64|0}function TUe(){return xT()|0}function xT(){return 2084}function RUe(s){return s=s|0,s|0}function NUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;return d=C,C=C+32|0,f=d,n[s+36>>2]=1,(n[s>>2]&64|0)==0&&(n[f>>2]=n[s+60>>2],n[f+4>>2]=21523,n[f+8>>2]=d+16,fu(54,f|0)|0)&&(o[s+75>>0]=-1),f=s7(s,l,c)|0,C=d,f|0}function o7(s,l){s=s|0,l=l|0;var c=0,f=0;if(c=o[s>>0]|0,f=o[l>>0]|0,c<<24>>24==0||c<<24>>24!=f<<24>>24)s=f;else{do s=s+1|0,l=l+1|0,c=o[s>>0]|0,f=o[l>>0]|0;while(!(c<<24>>24==0||c<<24>>24!=f<<24>>24));s=f}return(c&255)-(s&255)|0}function LUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;e:do if(!c)s=0;else{for(;f=o[s>>0]|0,d=o[l>>0]|0,f<<24>>24==d<<24>>24;)if(c=c+-1|0,c)s=s+1|0,l=l+1|0;else{s=0;break e}s=(f&255)-(d&255)|0}while(0);return s|0}function a7(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0;Fe=C,C=C+224|0,M=Fe+120|0,q=Fe+80|0,Ge=Fe,Oe=Fe+136|0,f=q,d=f+40|0;do n[f>>2]=0,f=f+4|0;while((f|0)<(d|0));return n[M>>2]=n[c>>2],(bT(0,l,M,Ge,q)|0)<0?c=-1:((n[s+76>>2]|0)>-1?se=MUe(s)|0:se=0,c=n[s>>2]|0,O=c&32,(o[s+74>>0]|0)<1&&(n[s>>2]=c&-33),f=s+48|0,n[f>>2]|0?c=bT(s,l,M,Ge,q)|0:(d=s+44|0,m=n[d>>2]|0,n[d>>2]=Oe,B=s+28|0,n[B>>2]=Oe,k=s+20|0,n[k>>2]=Oe,n[f>>2]=80,Q=s+16|0,n[Q>>2]=Oe+80,c=bT(s,l,M,Ge,q)|0,m&&(ED[n[s+36>>2]&7](s,0,0)|0,c=(n[k>>2]|0)==0?-1:c,n[d>>2]=m,n[f>>2]=0,n[Q>>2]=0,n[B>>2]=0,n[k>>2]=0)),f=n[s>>2]|0,n[s>>2]=f|O,se|0&&OUe(s),c=(f&32|0)==0?c:-1),C=Fe,c|0}function bT(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0,at=0,Ue=0,qe=0,Lt=0,Or=0,or=0,Xt=0,Pr=0,Nr=0,ir=0;ir=C,C=C+64|0,or=ir+16|0,Xt=ir,Lt=ir+24|0,Pr=ir+8|0,Nr=ir+20|0,n[or>>2]=l,at=(s|0)!=0,Ue=Lt+40|0,qe=Ue,Lt=Lt+39|0,Or=Pr+4|0,B=0,m=0,M=0;e:for(;;){do if((m|0)>-1)if((B|0)>(2147483647-m|0)){n[(Vm()|0)>>2]=75,m=-1;break}else{m=B+m|0;break}while(0);if(B=o[l>>0]|0,B<<24>>24)k=l;else{Xe=87;break}t:for(;;){switch(B<<24>>24){case 37:{B=k,Xe=9;break t}case 0:{B=k;break t}default:}et=k+1|0,n[or>>2]=et,B=o[et>>0]|0,k=et}t:do if((Xe|0)==9)for(;;){if(Xe=0,(o[k+1>>0]|0)!=37)break t;if(B=B+1|0,k=k+2|0,n[or>>2]=k,(o[k>>0]|0)==37)Xe=9;else break}while(0);if(B=B-l|0,at&&ss(s,l,B),B|0){l=k;continue}Q=k+1|0,B=(o[Q>>0]|0)+-48|0,B>>>0<10?(et=(o[k+2>>0]|0)==36,Fe=et?B:-1,M=et?1:M,Q=et?k+3|0:Q):Fe=-1,n[or>>2]=Q,B=o[Q>>0]|0,k=(B<<24>>24)+-32|0;t:do if(k>>>0<32)for(O=0,q=B;;){if(B=1<<k,!(B&75913)){B=q;break t}if(O=B|O,Q=Q+1|0,n[or>>2]=Q,B=o[Q>>0]|0,k=(B<<24>>24)+-32|0,k>>>0>=32)break;q=B}else O=0;while(0);if(B<<24>>24==42){if(k=Q+1|0,B=(o[k>>0]|0)+-48|0,B>>>0<10&&(o[Q+2>>0]|0)==36)n[d+(B<<2)>>2]=10,B=n[f+((o[k>>0]|0)+-48<<3)>>2]|0,M=1,Q=Q+3|0;else{if(M|0){m=-1;break}at?(M=(n[c>>2]|0)+(4-1)&~(4-1),B=n[M>>2]|0,n[c>>2]=M+4,M=0,Q=k):(B=0,M=0,Q=k)}n[or>>2]=Q,et=(B|0)<0,B=et?0-B|0:B,O=et?O|8192:O}else{if(B=l7(or)|0,(B|0)<0){m=-1;break}Q=n[or>>2]|0}do if((o[Q>>0]|0)==46){if((o[Q+1>>0]|0)!=42){n[or>>2]=Q+1,k=l7(or)|0,Q=n[or>>2]|0;break}if(q=Q+2|0,k=(o[q>>0]|0)+-48|0,k>>>0<10&&(o[Q+3>>0]|0)==36){n[d+(k<<2)>>2]=10,k=n[f+((o[q>>0]|0)+-48<<3)>>2]|0,Q=Q+4|0,n[or>>2]=Q;break}if(M|0){m=-1;break e}at?(et=(n[c>>2]|0)+(4-1)&~(4-1),k=n[et>>2]|0,n[c>>2]=et+4):k=0,n[or>>2]=q,Q=q}else k=-1;while(0);for(Oe=0;;){if(((o[Q>>0]|0)+-65|0)>>>0>57){m=-1;break e}if(et=Q+1|0,n[or>>2]=et,q=o[(o[Q>>0]|0)+-65+(5178+(Oe*58|0))>>0]|0,se=q&255,(se+-1|0)>>>0<8)Oe=se,Q=et;else break}if(!(q<<24>>24)){m=-1;break}Ge=(Fe|0)>-1;do if(q<<24>>24==19)if(Ge){m=-1;break e}else Xe=49;else{if(Ge){n[d+(Fe<<2)>>2]=se,Ge=f+(Fe<<3)|0,Fe=n[Ge+4>>2]|0,Xe=Xt,n[Xe>>2]=n[Ge>>2],n[Xe+4>>2]=Fe,Xe=49;break}if(!at){m=0;break e}c7(Xt,se,c)}while(0);if((Xe|0)==49&&(Xe=0,!at)){B=0,l=et;continue}Q=o[Q>>0]|0,Q=(Oe|0)!=0&(Q&15|0)==3?Q&-33:Q,Ge=O&-65537,Fe=(O&8192|0)==0?O:Ge;t:do switch(Q|0){case 110:switch((Oe&255)<<24>>24){case 0:{n[n[Xt>>2]>>2]=m,B=0,l=et;continue e}case 1:{n[n[Xt>>2]>>2]=m,B=0,l=et;continue e}case 2:{B=n[Xt>>2]|0,n[B>>2]=m,n[B+4>>2]=((m|0)<0)<<31>>31,B=0,l=et;continue e}case 3:{a[n[Xt>>2]>>1]=m,B=0,l=et;continue e}case 4:{o[n[Xt>>2]>>0]=m,B=0,l=et;continue e}case 6:{n[n[Xt>>2]>>2]=m,B=0,l=et;continue e}case 7:{B=n[Xt>>2]|0,n[B>>2]=m,n[B+4>>2]=((m|0)<0)<<31>>31,B=0,l=et;continue e}default:{B=0,l=et;continue e}}case 112:{Q=120,k=k>>>0>8?k:8,l=Fe|8,Xe=61;break}case 88:case 120:{l=Fe,Xe=61;break}case 111:{Q=Xt,l=n[Q>>2]|0,Q=n[Q+4>>2]|0,se=_Ue(l,Q,Ue)|0,Ge=qe-se|0,O=0,q=5642,k=(Fe&8|0)==0|(k|0)>(Ge|0)?k:Ge+1|0,Ge=Fe,Xe=67;break}case 105:case 100:if(Q=Xt,l=n[Q>>2]|0,Q=n[Q+4>>2]|0,(Q|0)<0){l=dD(0,0,l|0,Q|0)|0,Q=De,O=Xt,n[O>>2]=l,n[O+4>>2]=Q,O=1,q=5642,Xe=66;break t}else{O=(Fe&2049|0)!=0&1,q=(Fe&2048|0)==0?(Fe&1|0)==0?5642:5644:5643,Xe=66;break t}case 117:{Q=Xt,O=0,q=5642,l=n[Q>>2]|0,Q=n[Q+4>>2]|0,Xe=66;break}case 99:{o[Lt>>0]=n[Xt>>2],l=Lt,O=0,q=5642,se=Ue,Q=1,k=Ge;break}case 109:{Q=HUe(n[(Vm()|0)>>2]|0)|0,Xe=71;break}case 115:{Q=n[Xt>>2]|0,Q=Q|0?Q:5652,Xe=71;break}case 67:{n[Pr>>2]=n[Xt>>2],n[Or>>2]=0,n[Xt>>2]=Pr,se=-1,Q=Pr,Xe=75;break}case 83:{l=n[Xt>>2]|0,k?(se=k,Q=l,Xe=75):(Bs(s,32,B,0,Fe),l=0,Xe=84);break}case 65:case 71:case 70:case 69:case 97:case 103:case 102:case 101:{B=qUe(s,+E[Xt>>3],B,k,Fe,Q)|0,l=et;continue e}default:O=0,q=5642,se=Ue,Q=k,k=Fe}while(0);t:do if((Xe|0)==61)Fe=Xt,Oe=n[Fe>>2]|0,Fe=n[Fe+4>>2]|0,se=UUe(Oe,Fe,Ue,Q&32)|0,q=(l&8|0)==0|(Oe|0)==0&(Fe|0)==0,O=q?0:2,q=q?5642:5642+(Q>>4)|0,Ge=l,l=Oe,Q=Fe,Xe=67;else if((Xe|0)==66)se=Km(l,Q,Ue)|0,Ge=Fe,Xe=67;else if((Xe|0)==71)Xe=0,Fe=jUe(Q,0,k)|0,Oe=(Fe|0)==0,l=Q,O=0,q=5642,se=Oe?Q+k|0:Fe,Q=Oe?k:Fe-Q|0,k=Ge;else if((Xe|0)==75){for(Xe=0,q=Q,l=0,k=0;O=n[q>>2]|0,!(!O||(k=u7(Nr,O)|0,(k|0)<0|k>>>0>(se-l|0)>>>0));)if(l=k+l|0,se>>>0>l>>>0)q=q+4|0;else break;if((k|0)<0){m=-1;break e}if(Bs(s,32,B,l,Fe),!l)l=0,Xe=84;else for(O=0;;){if(k=n[Q>>2]|0,!k){Xe=84;break t}if(k=u7(Nr,k)|0,O=k+O|0,(O|0)>(l|0)){Xe=84;break t}if(ss(s,Nr,k),O>>>0>=l>>>0){Xe=84;break}else Q=Q+4|0}}while(0);if((Xe|0)==67)Xe=0,Q=(l|0)!=0|(Q|0)!=0,Fe=(k|0)!=0|Q,Q=((Q^1)&1)+(qe-se)|0,l=Fe?se:Ue,se=Ue,Q=Fe?(k|0)>(Q|0)?k:Q:k,k=(k|0)>-1?Ge&-65537:Ge;else if((Xe|0)==84){Xe=0,Bs(s,32,B,l,Fe^8192),B=(B|0)>(l|0)?B:l,l=et;continue}Oe=se-l|0,Ge=(Q|0)<(Oe|0)?Oe:Q,Fe=Ge+O|0,B=(B|0)<(Fe|0)?Fe:B,Bs(s,32,B,Fe,k),ss(s,q,O),Bs(s,48,B,Fe,k^65536),Bs(s,48,Ge,Oe,0),ss(s,l,Oe),Bs(s,32,B,Fe,k^8192),l=et}e:do if((Xe|0)==87&&!s)if(!M)m=0;else{for(m=1;l=n[d+(m<<2)>>2]|0,!!l;)if(c7(f+(m<<3)|0,l,c),m=m+1|0,(m|0)>=10){m=1;break e}for(;;){if(n[d+(m<<2)>>2]|0){m=-1;break e}if(m=m+1|0,(m|0)>=10){m=1;break}}}while(0);return C=ir,m|0}function MUe(s){return s=s|0,0}function OUe(s){s=s|0}function ss(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]&32||ZUe(l,c,s)|0}function l7(s){s=s|0;var l=0,c=0,f=0;if(c=n[s>>2]|0,f=(o[c>>0]|0)+-48|0,f>>>0<10){l=0;do l=f+(l*10|0)|0,c=c+1|0,n[s>>2]=c,f=(o[c>>0]|0)+-48|0;while(f>>>0<10)}else l=0;return l|0}function c7(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;e:do if(l>>>0<=20)do switch(l|0){case 9:{f=(n[c>>2]|0)+(4-1)&~(4-1),l=n[f>>2]|0,n[c>>2]=f+4,n[s>>2]=l;break e}case 10:{f=(n[c>>2]|0)+(4-1)&~(4-1),l=n[f>>2]|0,n[c>>2]=f+4,f=s,n[f>>2]=l,n[f+4>>2]=((l|0)<0)<<31>>31;break e}case 11:{f=(n[c>>2]|0)+(4-1)&~(4-1),l=n[f>>2]|0,n[c>>2]=f+4,f=s,n[f>>2]=l,n[f+4>>2]=0;break e}case 12:{f=(n[c>>2]|0)+(8-1)&~(8-1),l=f,d=n[l>>2]|0,l=n[l+4>>2]|0,n[c>>2]=f+8,f=s,n[f>>2]=d,n[f+4>>2]=l;break e}case 13:{d=(n[c>>2]|0)+(4-1)&~(4-1),f=n[d>>2]|0,n[c>>2]=d+4,f=(f&65535)<<16>>16,d=s,n[d>>2]=f,n[d+4>>2]=((f|0)<0)<<31>>31;break e}case 14:{d=(n[c>>2]|0)+(4-1)&~(4-1),f=n[d>>2]|0,n[c>>2]=d+4,d=s,n[d>>2]=f&65535,n[d+4>>2]=0;break e}case 15:{d=(n[c>>2]|0)+(4-1)&~(4-1),f=n[d>>2]|0,n[c>>2]=d+4,f=(f&255)<<24>>24,d=s,n[d>>2]=f,n[d+4>>2]=((f|0)<0)<<31>>31;break e}case 16:{d=(n[c>>2]|0)+(4-1)&~(4-1),f=n[d>>2]|0,n[c>>2]=d+4,d=s,n[d>>2]=f&255,n[d+4>>2]=0;break e}case 17:{d=(n[c>>2]|0)+(8-1)&~(8-1),m=+E[d>>3],n[c>>2]=d+8,E[s>>3]=m;break e}case 18:{d=(n[c>>2]|0)+(8-1)&~(8-1),m=+E[d>>3],n[c>>2]=d+8,E[s>>3]=m;break e}default:break e}while(0);while(0)}function UUe(s,l,c,f){if(s=s|0,l=l|0,c=c|0,f=f|0,!((s|0)==0&(l|0)==0))do c=c+-1|0,o[c>>0]=u[5694+(s&15)>>0]|0|f,s=mD(s|0,l|0,4)|0,l=De;while(!((s|0)==0&(l|0)==0));return c|0}function _Ue(s,l,c){if(s=s|0,l=l|0,c=c|0,!((s|0)==0&(l|0)==0))do c=c+-1|0,o[c>>0]=s&7|48,s=mD(s|0,l|0,3)|0,l=De;while(!((s|0)==0&(l|0)==0));return c|0}function Km(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;if(l>>>0>0|(l|0)==0&s>>>0>4294967295){for(;f=TT(s|0,l|0,10,0)|0,c=c+-1|0,o[c>>0]=f&255|48,f=s,s=FT(s|0,l|0,10,0)|0,l>>>0>9|(l|0)==9&f>>>0>4294967295;)l=De;l=s}else l=s;if(l)for(;c=c+-1|0,o[c>>0]=(l>>>0)%10|0|48,!(l>>>0<10);)l=(l>>>0)/10|0;return c|0}function HUe(s){return s=s|0,KUe(s,n[(VUe()|0)+188>>2]|0)|0}function jUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;m=l&255,f=(c|0)!=0;e:do if(f&(s&3|0)!=0)for(d=l&255;;){if((o[s>>0]|0)==d<<24>>24){B=6;break e}if(s=s+1|0,c=c+-1|0,f=(c|0)!=0,!(f&(s&3|0)!=0)){B=5;break}}else B=5;while(0);(B|0)==5&&(f?B=6:c=0);e:do if((B|0)==6&&(d=l&255,(o[s>>0]|0)!=d<<24>>24)){f=He(m,16843009)|0;t:do if(c>>>0>3){for(;m=n[s>>2]^f,!((m&-2139062144^-2139062144)&m+-16843009|0);)if(s=s+4|0,c=c+-4|0,c>>>0<=3){B=11;break t}}else B=11;while(0);if((B|0)==11&&!c){c=0;break}for(;;){if((o[s>>0]|0)==d<<24>>24)break e;if(s=s+1|0,c=c+-1|0,!c){c=0;break}}}while(0);return(c|0?s:0)|0}function Bs(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0;if(B=C,C=C+256|0,m=B,(c|0)>(f|0)&(d&73728|0)==0){if(d=c-f|0,zm(m|0,l|0,(d>>>0<256?d:256)|0)|0,d>>>0>255){l=c-f|0;do ss(s,m,256),d=d+-256|0;while(d>>>0>255);d=l&255}ss(s,m,d)}C=B}function u7(s,l){return s=s|0,l=l|0,s?s=YUe(s,l,0)|0:s=0,s|0}function qUe(s,l,c,f,d,m){s=s|0,l=+l,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0,at=0,Ue=0,qe=0,Lt=0,Or=0,or=0,Xt=0,Pr=0,Nr=0,ir=0,bn=0;bn=C,C=C+560|0,Q=bn+8|0,et=bn,ir=bn+524|0,Nr=ir,O=bn+512|0,n[et>>2]=0,Pr=O+12|0,A7(l)|0,(De|0)<0?(l=-l,or=1,Or=5659):(or=(d&2049|0)!=0&1,Or=(d&2048|0)==0?(d&1|0)==0?5660:5665:5662),A7(l)|0,Xt=De&2146435072;do if(Xt>>>0<2146435072|(Xt|0)==2146435072&0<0){if(Ge=+GUe(l,et)*2,B=Ge!=0,B&&(n[et>>2]=(n[et>>2]|0)+-1),at=m|32,(at|0)==97){Oe=m&32,se=(Oe|0)==0?Or:Or+9|0,q=or|2,B=12-f|0;do if(f>>>0>11|(B|0)==0)l=Ge;else{l=8;do B=B+-1|0,l=l*16;while((B|0)!=0);if((o[se>>0]|0)==45){l=-(l+(-Ge-l));break}else{l=Ge+l-l;break}}while(0);k=n[et>>2]|0,B=(k|0)<0?0-k|0:k,B=Km(B,((B|0)<0)<<31>>31,Pr)|0,(B|0)==(Pr|0)&&(B=O+11|0,o[B>>0]=48),o[B+-1>>0]=(k>>31&2)+43,M=B+-2|0,o[M>>0]=m+15,O=(f|0)<1,Q=(d&8|0)==0,B=ir;do Xt=~~l,k=B+1|0,o[B>>0]=u[5694+Xt>>0]|Oe,l=(l-+(Xt|0))*16,(k-Nr|0)==1&&!(Q&(O&l==0))?(o[k>>0]=46,B=B+2|0):B=k;while(l!=0);Xt=B-Nr|0,Nr=Pr-M|0,Pr=(f|0)!=0&(Xt+-2|0)<(f|0)?f+2|0:Xt,B=Nr+q+Pr|0,Bs(s,32,c,B,d),ss(s,se,q),Bs(s,48,c,B,d^65536),ss(s,ir,Xt),Bs(s,48,Pr-Xt|0,0,0),ss(s,M,Nr),Bs(s,32,c,B,d^8192);break}k=(f|0)<0?6:f,B?(B=(n[et>>2]|0)+-28|0,n[et>>2]=B,l=Ge*268435456):(l=Ge,B=n[et>>2]|0),Xt=(B|0)<0?Q:Q+288|0,Q=Xt;do qe=~~l>>>0,n[Q>>2]=qe,Q=Q+4|0,l=(l-+(qe>>>0))*1e9;while(l!=0);if((B|0)>0)for(O=Xt,q=Q;;){if(M=(B|0)<29?B:29,B=q+-4|0,B>>>0>=O>>>0){Q=0;do Ue=m7(n[B>>2]|0,0,M|0)|0,Ue=QT(Ue|0,De|0,Q|0,0)|0,qe=De,Xe=TT(Ue|0,qe|0,1e9,0)|0,n[B>>2]=Xe,Q=FT(Ue|0,qe|0,1e9,0)|0,B=B+-4|0;while(B>>>0>=O>>>0);Q&&(O=O+-4|0,n[O>>2]=Q)}for(Q=q;!(Q>>>0<=O>>>0);)if(B=Q+-4|0,!(n[B>>2]|0))Q=B;else break;if(B=(n[et>>2]|0)-M|0,n[et>>2]=B,(B|0)>0)q=Q;else break}else O=Xt;if((B|0)<0){f=((k+25|0)/9|0)+1|0,Fe=(at|0)==102;do{if(Oe=0-B|0,Oe=(Oe|0)<9?Oe:9,O>>>0<Q>>>0){M=(1<<Oe)+-1|0,q=1e9>>>Oe,se=0,B=O;do qe=n[B>>2]|0,n[B>>2]=(qe>>>Oe)+se,se=He(qe&M,q)|0,B=B+4|0;while(B>>>0<Q>>>0);B=(n[O>>2]|0)==0?O+4|0:O,se?(n[Q>>2]=se,O=B,B=Q+4|0):(O=B,B=Q)}else O=(n[O>>2]|0)==0?O+4|0:O,B=Q;Q=Fe?Xt:O,Q=(B-Q>>2|0)>(f|0)?Q+(f<<2)|0:B,B=(n[et>>2]|0)+Oe|0,n[et>>2]=B}while((B|0)<0);B=O,f=Q}else B=O,f=Q;if(qe=Xt,B>>>0<f>>>0){if(Q=(qe-B>>2)*9|0,M=n[B>>2]|0,M>>>0>=10){O=10;do O=O*10|0,Q=Q+1|0;while(M>>>0>=O>>>0)}}else Q=0;if(Fe=(at|0)==103,Xe=(k|0)!=0,O=k-((at|0)!=102?Q:0)+((Xe&Fe)<<31>>31)|0,(O|0)<(((f-qe>>2)*9|0)+-9|0)){if(O=O+9216|0,Oe=Xt+4+(((O|0)/9|0)+-1024<<2)|0,O=((O|0)%9|0)+1|0,(O|0)<9){M=10;do M=M*10|0,O=O+1|0;while((O|0)!=9)}else M=10;if(q=n[Oe>>2]|0,se=(q>>>0)%(M>>>0)|0,O=(Oe+4|0)==(f|0),O&(se|0)==0)O=Oe;else if(Ge=(((q>>>0)/(M>>>0)|0)&1|0)==0?9007199254740992:9007199254740994,Ue=(M|0)/2|0,l=se>>>0<Ue>>>0?.5:O&(se|0)==(Ue|0)?1:1.5,or&&(Ue=(o[Or>>0]|0)==45,l=Ue?-l:l,Ge=Ue?-Ge:Ge),O=q-se|0,n[Oe>>2]=O,Ge+l!=Ge){if(Ue=O+M|0,n[Oe>>2]=Ue,Ue>>>0>999999999)for(Q=Oe;O=Q+-4|0,n[Q>>2]=0,O>>>0<B>>>0&&(B=B+-4|0,n[B>>2]=0),Ue=(n[O>>2]|0)+1|0,n[O>>2]=Ue,Ue>>>0>999999999;)Q=O;else O=Oe;if(Q=(qe-B>>2)*9|0,q=n[B>>2]|0,q>>>0>=10){M=10;do M=M*10|0,Q=Q+1|0;while(q>>>0>=M>>>0)}}else O=Oe;O=O+4|0,O=f>>>0>O>>>0?O:f,Ue=B}else O=f,Ue=B;for(at=O;;){if(at>>>0<=Ue>>>0){et=0;break}if(B=at+-4|0,!(n[B>>2]|0))at=B;else{et=1;break}}f=0-Q|0;do if(Fe)if(B=((Xe^1)&1)+k|0,(B|0)>(Q|0)&(Q|0)>-5?(M=m+-1|0,k=B+-1-Q|0):(M=m+-2|0,k=B+-1|0),B=d&8,B)Oe=B;else{if(et&&(Lt=n[at+-4>>2]|0,(Lt|0)!=0))if((Lt>>>0)%10|0)O=0;else{O=0,B=10;do B=B*10|0,O=O+1|0;while(!((Lt>>>0)%(B>>>0)|0|0))}else O=9;if(B=((at-qe>>2)*9|0)+-9|0,(M|32|0)==102){Oe=B-O|0,Oe=(Oe|0)>0?Oe:0,k=(k|0)<(Oe|0)?k:Oe,Oe=0;break}else{Oe=B+Q-O|0,Oe=(Oe|0)>0?Oe:0,k=(k|0)<(Oe|0)?k:Oe,Oe=0;break}}else M=m,Oe=d&8;while(0);if(Fe=k|Oe,q=(Fe|0)!=0&1,se=(M|32|0)==102,se)Xe=0,B=(Q|0)>0?Q:0;else{if(B=(Q|0)<0?f:Q,B=Km(B,((B|0)<0)<<31>>31,Pr)|0,O=Pr,(O-B|0)<2)do B=B+-1|0,o[B>>0]=48;while((O-B|0)<2);o[B+-1>>0]=(Q>>31&2)+43,B=B+-2|0,o[B>>0]=M,Xe=B,B=O-B|0}if(B=or+1+k+q+B|0,Bs(s,32,c,B,d),ss(s,Or,or),Bs(s,48,c,B,d^65536),se){M=Ue>>>0>Xt>>>0?Xt:Ue,Oe=ir+9|0,q=Oe,se=ir+8|0,O=M;do{if(Q=Km(n[O>>2]|0,0,Oe)|0,(O|0)==(M|0))(Q|0)==(Oe|0)&&(o[se>>0]=48,Q=se);else if(Q>>>0>ir>>>0){zm(ir|0,48,Q-Nr|0)|0;do Q=Q+-1|0;while(Q>>>0>ir>>>0)}ss(s,Q,q-Q|0),O=O+4|0}while(O>>>0<=Xt>>>0);if(Fe|0&&ss(s,5710,1),O>>>0<at>>>0&(k|0)>0)for(;;){if(Q=Km(n[O>>2]|0,0,Oe)|0,Q>>>0>ir>>>0){zm(ir|0,48,Q-Nr|0)|0;do Q=Q+-1|0;while(Q>>>0>ir>>>0)}if(ss(s,Q,(k|0)<9?k:9),O=O+4|0,Q=k+-9|0,O>>>0<at>>>0&(k|0)>9)k=Q;else{k=Q;break}}Bs(s,48,k+9|0,9,0)}else{if(Fe=et?at:Ue+4|0,(k|0)>-1){et=ir+9|0,Oe=(Oe|0)==0,f=et,q=0-Nr|0,se=ir+8|0,M=Ue;do{Q=Km(n[M>>2]|0,0,et)|0,(Q|0)==(et|0)&&(o[se>>0]=48,Q=se);do if((M|0)==(Ue|0)){if(O=Q+1|0,ss(s,Q,1),Oe&(k|0)<1){Q=O;break}ss(s,5710,1),Q=O}else{if(Q>>>0<=ir>>>0)break;zm(ir|0,48,Q+q|0)|0;do Q=Q+-1|0;while(Q>>>0>ir>>>0)}while(0);Nr=f-Q|0,ss(s,Q,(k|0)>(Nr|0)?Nr:k),k=k-Nr|0,M=M+4|0}while(M>>>0<Fe>>>0&(k|0)>-1)}Bs(s,48,k+18|0,18,0),ss(s,Xe,Pr-Xe|0)}Bs(s,32,c,B,d^8192)}else ir=(m&32|0)!=0,B=or+3|0,Bs(s,32,c,B,d&-65537),ss(s,Or,or),ss(s,l!=l|!1?ir?5686:5690:ir?5678:5682,3),Bs(s,32,c,B,d^8192);while(0);return C=bn,((B|0)<(c|0)?c:B)|0}function A7(s){s=+s;var l=0;return E[v>>3]=s,l=n[v>>2]|0,De=n[v+4>>2]|0,l|0}function GUe(s,l){return s=+s,l=l|0,+ +f7(s,l)}function f7(s,l){s=+s,l=l|0;var c=0,f=0,d=0;switch(E[v>>3]=s,c=n[v>>2]|0,f=n[v+4>>2]|0,d=mD(c|0,f|0,52)|0,d&2047){case 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s=c,c=c+1|0;while((o[s>>0]|0)!=0);if(f=f+-1|0,f)s=5;else break}return JUe(c,n[l+20>>2]|0)|0}function JUe(s,l){return s=s|0,l=l|0,zUe(s,l)|0}function zUe(s,l){return s=s|0,l=l|0,l?l=XUe(n[l>>2]|0,n[l+4>>2]|0,s)|0:l=0,(l|0?l:s)|0}function XUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;se=(n[s>>2]|0)+1794895138|0,m=Fg(n[s+8>>2]|0,se)|0,f=Fg(n[s+12>>2]|0,se)|0,d=Fg(n[s+16>>2]|0,se)|0;e:do if(m>>>0<l>>>2>>>0&&(q=l-(m<<2)|0,f>>>0<q>>>0&d>>>0<q>>>0)&&((d|f)&3|0)==0){for(q=f>>>2,M=d>>>2,O=0;;){if(k=m>>>1,Q=O+k|0,B=Q<<1,d=B+q|0,f=Fg(n[s+(d<<2)>>2]|0,se)|0,d=Fg(n[s+(d+1<<2)>>2]|0,se)|0,!(d>>>0<l>>>0&f>>>0<(l-d|0)>>>0)){f=0;break e}if(o[s+(d+f)>>0]|0){f=0;break e}if(f=o7(c,s+d|0)|0,!f)break;if(f=(f|0)<0,(m|0)==1){f=0;break e}else O=f?O:Q,m=f?k:m-k|0}f=B+M|0,d=Fg(n[s+(f<<2)>>2]|0,se)|0,f=Fg(n[s+(f+1<<2)>>2]|0,se)|0,f>>>0<l>>>0&d>>>0<(l-f|0)>>>0?f=(o[s+(f+d)>>0]|0)==0?s+f|0:0:f=0}else f=0;while(0);return f|0}function Fg(s,l){s=s|0,l=l|0;var c=0;return c=C7(s|0)|0,((l|0)==0?s:c)|0}function ZUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=c+16|0,d=n[f>>2]|0,d?m=5:$Ue(c)|0?f=0:(d=n[f>>2]|0,m=5);e:do if((m|0)==5){if(k=c+20|0,B=n[k>>2]|0,f=B,(d-B|0)>>>0<l>>>0){f=ED[n[c+36>>2]&7](c,s,l)|0;break}t:do if((o[c+75>>0]|0)>-1){for(B=l;;){if(!B){m=0,d=s;break t}if(d=B+-1|0,(o[s+d>>0]|0)==10)break;B=d}if(f=ED[n[c+36>>2]&7](c,s,B)|0,f>>>0<B>>>0)break e;m=B,d=s+B|0,l=l-B|0,f=n[k>>2]|0}else m=0,d=s;while(0);Dr(f|0,d|0,l|0)|0,n[k>>2]=(n[k>>2]|0)+l,f=m+l|0}while(0);return f|0}function $Ue(s){s=s|0;var l=0,c=0;return l=s+74|0,c=o[l>>0]|0,o[l>>0]=c+255|c,l=n[s>>2]|0,l&8?(n[s>>2]=l|32,s=-1):(n[s+8>>2]=0,n[s+4>>2]=0,c=n[s+44>>2]|0,n[s+28>>2]=c,n[s+20>>2]=c,n[s+16>>2]=c+(n[s+48>>2]|0),s=0),s|0}function _n(s,l){s=y(s),l=y(l);var c=0,f=0;c=p7(s)|0;do if((c&2147483647)>>>0<=2139095040){if(f=p7(l)|0,(f&2147483647)>>>0<=2139095040)if((f^c|0)<0){s=(c|0)<0?l:s;break}else{s=s<l?l:s;break}}else s=l;while(0);return y(s)}function p7(s){return 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w7=[R3e,YLe],I7=[N3e,fo],B7=[ma,xw,bw,wF,IF,Dl,kw,BF,Hm,xu,Fw,vF,$v,WA,eD,jm,tD,rD,qm,ma,ma,ma,ma,ma,ma,ma,ma,ma,ma,ma,ma,ma],v7=[L3e],ef=[Er,Jm,DDe,PDe,SDe,rbe,nbe,ibe,CNe,wNe,INe,FLe,TLe,RLe,eUe,tUe,rUe,hs,Kv,_m,YA,Qw,wve,Ive,gDe,NDe,VDe,APe,SPe,GPe,aSe,ISe,MSe,$Se,gxe,Qxe,Vxe,wbe,Mbe,$be,gke,Qke,Vke,fQe,SQe,HQe,nFe,Sc,RFe,zFe,gTe,TTe,KTe,gRe,DRe,xRe,YRe,KRe,ANe,vNe,SNe,GNe,lLe,a5,qMe,COe,NOe,zOe,y4e,T4e,G4e,V4e,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er],tf=[Ow,hF,gF,Sw,Su,dF,mF,Ip,yF,EF,CF,Zv,VA,Ke,At,Wt,vr,Sn,Fr,PF,lve,Qve,dQe,kQe,MTe,WMe,dLe,Y9,Ow,Ow,Ow,Ow],Ng=[Ja,QUe,pF,D,fe,ve,vt,wt,bt,_r,di,po,sve,ove,Bve,oFe,ZTe,VNe,zMe,Wa,Ja,Ja,Ja,Ja,Ja,Ja,Ja,Ja,Ja,Ja,Ja,Ja],D7=[M3e,vve],z3e=[O3e,hNe],ED=[U3e,s7,FUe,NUe,KPe,Dbe,OFe,e4e],X3e=[_3e,Exe],P7=[Rg,Yo,rt,xn,Dve,Pve,Sve,xve,bve,kve,Rg,Rg,Rg,Rg,Rg,Rg],Z3e=[H3e,IRe],NT=[Uw,r3e,ave,EDe,gPe,uSe,DSe,Xxe,Hbe,YQe,Wv,UOe,Uw,Uw,Uw,Uw],$3e=[j3e,XDe],e_e=[q3e,I4e],S7=[RT,ai,Fve,Tve,Rve,Nxe,RT,RT],CD=[G3e,Nve,Dw,ga,FRe,ZRe,QNe,X4e],x7=[Y3e,Ew],t_e=[W3e,Eke],b7=[V3e,cve],_w=[yD,R,is,en,ho,QPe,_Se,Nke,Xke,Um,hMe,vOe,M4e,yD,yD,yD],k7=[K3e],Q7=[Xm,Jv,zv,Xv,GA,nD,DF,P,nke,eTe,yRe,Xm,Xm,Xm,Xm,Xm],r_e=[J3e,yNe],LT=[Zm,nxe,hFe,ETe,aRe,ORe,iNe,ONe,pLe,rOe,lUe,Zm,Zm,Zm,Zm,Zm];return{_llvm_bswap_i32:C7,dynCall_idd:F3e,dynCall_i:D3e,_i64Subtract:dD,___udivdi3:FT,dynCall_vif:c3e,setThrew:hu,dynCall_viii:b3e,_bitshift64Lshr:mD,_bitshift64Shl:m7,dynCall_vi:f3e,dynCall_viiddi:I3e,dynCall_diii:y3e,dynCall_iii:w3e,_memset:zm,_sbrk:kp,_memcpy:Dr,__GLOBAL__sub_I_Yoga_cpp:Om,dynCall_vii:p3e,___uremdi3:TT,dynCall_vid:u3e,stackAlloc:lo,_nbind_init:EUe,getTempRet0:Ua,dynCall_di:E3e,dynCall_iid:C3e,setTempRet0:xA,_i64Add:QT,dynCall_fiff:A3e,dynCall_iiii:m3e,_emscripten_get_global_libc:kUe,dynCall_viid:Q3e,dynCall_viiid:S3e,dynCall_viififi:x3e,dynCall_ii:h3e,__GLOBAL__sub_I_Binding_cc:NMe,dynCall_viiii:T3e,dynCall_iiiiii:P3e,stackSave:gc,dynCall_viiiii:l3e,__GLOBAL__sub_I_nbind_cc:Lve,dynCall_vidd:d3e,_free:hD,runPostSets:a3e,dynCall_viiiiii:B3e,establishStackSpace:ji,_memmove:Mw,stackRestore:pu,_malloc:pD,__GLOBAL__sub_I_common_cc:tLe,dynCall_viddi:g3e,dynCall_dii:v3e,dynCall_v:k3e}}(Module.asmGlobalArg,Module.asmLibraryArg,buffer),_llvm_bswap_i32=Module._llvm_bswap_i32=asm._llvm_bswap_i32,getTempRet0=Module.getTempRet0=asm.getTempRet0,___udivdi3=Module.___udivdi3=asm.___udivdi3,setThrew=Module.setThrew=asm.setThrew,_bitshift64Lshr=Module._bitshift64Lshr=asm._bitshift64Lshr,_bitshift64Shl=Module._bitshift64Shl=asm._bitshift64Shl,_memset=Module._memset=asm._memset,_sbrk=Module._sbrk=asm._sbrk,_memcpy=Module._memcpy=asm._memcpy,stackAlloc=Module.stackAlloc=asm.stackAlloc,___uremdi3=Module.___uremdi3=asm.___uremdi3,_nbind_init=Module._nbind_init=asm._nbind_init,_i64Subtract=Module._i64Subtract=asm._i64Subtract,setTempRet0=Module.setTempRet0=asm.setTempRet0,_i64Add=Module._i64Add=asm._i64Add,_emscripten_get_global_libc=Module._emscripten_get_global_libc=asm._emscripten_get_global_libc,__GLOBAL__sub_I_Yoga_cpp=Module.__GLOBAL__sub_I_Yoga_cpp=asm.__GLOBAL__sub_I_Yoga_cpp,__GLOBAL__sub_I_Binding_cc=Module.__GLOBAL__sub_I_Binding_cc=asm.__GLOBAL__sub_I_Binding_cc,stackSave=Module.stackSave=asm.stackSave,__GLOBAL__sub_I_nbind_cc=Module.__GLOBAL__sub_I_nbind_cc=asm.__GLOBAL__sub_I_nbind_cc,_free=Module._free=asm._free,runPostSets=Module.runPostSets=asm.runPostSets,establishStackSpace=Module.establishStackSpace=asm.establishStackSpace,_memmove=Module._memmove=asm._memmove,stackRestore=Module.stackRestore=asm.stackRestore,_malloc=Module._malloc=asm._malloc,__GLOBAL__sub_I_common_cc=Module.__GLOBAL__sub_I_common_cc=asm.__GLOBAL__sub_I_common_cc,dynCall_viiiii=Module.dynCall_viiiii=asm.dynCall_viiiii,dynCall_vif=Module.dynCall_vif=asm.dynCall_vif,dynCall_vid=Module.dynCall_vid=asm.dynCall_vid,dynCall_fiff=Module.dynCall_fiff=asm.dynCall_fiff,dynCall_vi=Module.dynCall_vi=asm.dynCall_vi,dynCall_vii=Module.dynCall_vii=asm.dynCall_vii,dynCall_ii=Module.dynCall_ii=asm.dynCall_ii,dynCall_viddi=Module.dynCall_viddi=asm.dynCall_viddi,dynCall_vidd=Module.dynCall_vidd=asm.dynCall_vidd,dynCall_iiii=Module.dynCall_iiii=asm.dynCall_iiii,dynCall_diii=Module.dynCall_diii=asm.dynCall_diii,dynCall_di=Module.dynCall_di=asm.dynCall_di,dynCall_iid=Module.dynCall_iid=asm.dynCall_iid,dynCall_iii=Module.dynCall_iii=asm.dynCall_iii,dynCall_viiddi=Module.dynCall_viiddi=asm.dynCall_viiddi,dynCall_viiiiii=Module.dynCall_viiiiii=asm.dynCall_viiiiii,dynCall_dii=Module.dynCall_dii=asm.dynCall_dii,dynCall_i=Module.dynCall_i=asm.dynCall_i,dynCall_iiiiii=Module.dynCall_iiiiii=asm.dynCall_iiiiii,dynCall_viiid=Module.dynCall_viiid=asm.dynCall_viiid,dynCall_viififi=Module.dynCall_viififi=asm.dynCall_viififi,dynCall_viii=Module.dynCall_viii=asm.dynCall_viii,dynCall_v=Module.dynCall_v=asm.dynCall_v,dynCall_viid=Module.dynCall_viid=asm.dynCall_viid,dynCall_idd=Module.dynCall_idd=asm.dynCall_idd,dynCall_viiii=Module.dynCa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ExitStatus(t){this.name="ExitStatus",this.message="Program terminated with exit("+t+")",this.status=t}ExitStatus.prototype=new Error,ExitStatus.prototype.constructor=ExitStatus;var initialStackTop,preloadStartTime=null,calledMain=!1;dependenciesFulfilled=function t(){Module.calledRun||run(),Module.calledRun||(dependenciesFulfilled=t)},Module.callMain=Module.callMain=function t(e){e=e||[],ensureInitRuntime();var r=e.length+1;function o(){for(var p=0;p<4-1;p++)a.push(0)}var a=[allocate(intArrayFromString(Module.thisProgram),"i8",ALLOC_NORMAL)];o();for(var n=0;n<r-1;n=n+1)a.push(allocate(intArrayFromString(e[n]),"i8",ALLOC_NORMAL)),o();a.push(0),a=allocate(a,"i32",ALLOC_NORMAL);try{var u=Module._main(r,a,0);exit(u,!0)}catch(p){if(p instanceof ExitStatus)return;if(p=="SimulateInfiniteLoop"){Module.noExitRuntime=!0;return}else{var A=p;p&&typeof p=="object"&&p.stack&&(A=[p,p.stack]),Module.printErr("exception thrown: "+A),Module.quit(1,p)}}finally{calledMain=!0}};function run(t){if(t=t||Module.arguments,preloadStartTime===null&&(preloadStartTime=Date.now()),runDependencies>0||(preRun(),runDependencies>0)||Module.calledRun)return;function e(){Module.calledRun||(Module.calledRun=!0,!ABORT&&(ensureInitRuntime(),preMain(),Module.onRuntimeInitialized&&Module.onRuntimeInitialized(),Module._main&&shouldRunNow&&Module.callMain(t),postRun()))}Module.setStatus?(Module.setStatus("Running..."),setTimeout(function(){setTimeout(function(){Module.setStatus("")},1),e()},1)):e()}Module.run=Module.run=run;function exit(t,e){e&&Module.noExitRuntime||(Module.noExitRuntime||(ABORT=!0,EXITSTATUS=t,STACKTOP=initialStackTop,exitRuntime(),Module.onExit&&Module.onExit(t)),ENVIRONMENT_IS_NODE&&process.exit(t),Module.quit(t,new ExitStatus(t)))}Module.exit=Module.exit=exit;var abortDecorators=[];function abort(t){Module.onAbort&&Module.onAbort(t),t!==void 0?(Module.print(t),Module.printErr(t),t=JSON.stringify(t)):t="",ABORT=!0,EXITSTATUS=1;var e=` -If this abort() is unexpected, build with -s ASSERTIONS=1 which can give more information.`,r="abort("+t+") at "+stackTrace()+e;throw abortDecorators&&abortDecorators.forEach(function(o){r=o(r,t)}),r}if(Module.abort=Module.abort=abort,Module.preInit)for(typeof Module.preInit=="function"&&(Module.preInit=[Module.preInit]);Module.preInit.length>0;)Module.preInit.pop()();var shouldRunNow=!0;Module.noInitialRun&&(shouldRunNow=!1),run()})});var om=_((wVt,OEe)=>{"use strict";var Jyt=LEe(),zyt=MEe(),Q6=!1,F6=null;zyt({},function(t,e){if(!Q6){if(Q6=!0,t)throw t;F6=e}});if(!Q6)throw new Error("Failed to load the yoga module - it needed to be loaded synchronously, but didn't");OEe.exports=Jyt(F6.bind,F6.lib)});var R6=_((IVt,T6)=>{"use strict";var 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","base64")).toString()),Gj)});var VIe=_((wzt,WIe)=>{var $j=Symbol("arg flag"),Ma=class extends Error{constructor(e,r){super(e),this.name="ArgError",this.code=r,Object.setPrototypeOf(this,Ma.prototype)}};function iv(t,{argv:e=process.argv.slice(2),permissive:r=!1,stopAtPositional:o=!1}={}){if(!t)throw new Ma("argument specification object is required","ARG_CONFIG_NO_SPEC");let a={_:[]},n={},u={};for(let A of Object.keys(t)){if(!A)throw new Ma("argument key cannot be an empty string","ARG_CONFIG_EMPTY_KEY");if(A[0]!=="-")throw new Ma(`argument key must start with '-' but found: '${A}'`,"ARG_CONFIG_NONOPT_KEY");if(A.length===1)throw new Ma(`argument key must have a name; singular '-' keys are not allowed: ${A}`,"ARG_CONFIG_NONAME_KEY");if(typeof t[A]=="string"){n[A]=t[A];continue}let p=t[A],h=!1;if(Array.isArray(p)&&p.length===1&&typeof p[0]=="function"){let[E]=p;p=(I,v,b=[])=>(b.push(E(I,v,b[b.length-1])),b),h=E===Boolean||E[$j]===!0}else if(typeof p=="function")h=p===Boolean||p[$j]===!0;else throw new Ma(`type missing or not a function or valid array type: ${A}`,"ARG_CONFIG_VAD_TYPE");if(A[1]!=="-"&&A.length>2)throw new Ma(`short argument keys (with a single hyphen) must have only one character: ${A}`,"ARG_CONFIG_SHORTOPT_TOOLONG");u[A]=[p,h]}for(let A=0,p=e.length;A<p;A++){let h=e[A];if(o&&a._.length>0){a._=a._.concat(e.slice(A));break}if(h==="--"){a._=a._.concat(e.slice(A+1));break}if(h.length>1&&h[0]==="-"){let E=h[1]==="-"||h.length===2?[h]:h.slice(1).split("").map(I=>`-${I}`);for(let I=0;I<E.length;I++){let v=E[I],[b,C]=v[1]==="-"?v.split(/=(.*)/,2):[v,void 0],T=b;for(;T in n;)T=n[T];if(!(T in u))if(r){a._.push(v);continue}else throw new Ma(`unknown or unexpected option: ${b}`,"ARG_UNKNOWN_OPTION");let[L,U]=u[T];if(!U&&I+1<E.length)throw new Ma(`option requires argument (but was followed by another short argument): ${b}`,"ARG_MISSING_REQUIRED_SHORTARG");if(U)a[T]=L(!0,T,a[T]);else if(C===void 0){if(e.length<A+2||e[A+1].length>1&&e[A+1][0]==="-"&&!(e[A+1].match(/^-?\d*(\.(?=\d))?\d*$/)&&(L===Number||typeof BigInt<"u"&&L===BigInt))){let J=b===T?"":` (alias for ${T})`;throw new Ma(`option requires argument: ${b}${J}`,"ARG_MISSING_REQUIRED_LONGARG")}a[T]=L(e[A+1],T,a[T]),++A}else a[T]=L(C,T,a[T])}}else a._.push(h)}return a}iv.flag=t=>(t[$j]=!0,t);iv.COUNT=iv.flag((t,e,r)=>(r||0)+1);iv.ArgError=Ma;WIe.exports=iv});var t1e=_((Kzt,e1e)=>{var nq;e1e.exports=()=>(typeof nq>"u"&&(nq=Be("zlib").brotliDecompressSync(Buffer.from("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a;return t>0?a=w2e(t,e):a=null,a===null?(e.needReadable=e.length<=e.highWaterMark,t=0):(e.length-=t,e.awaitDrain=0),e.length===0&&(e.ended||(e.needReadable=!0),r!==t&&e.ended&&Xq(this)),a!==null&&this.emit("data",a),a};function EBt(t,e){if($r("onEofChunk"),!e.ended){if(e.decoder){var r=e.decoder.end();r&&r.length&&(e.buffer.push(r),e.length+=e.objectMode?1:r.length)}e.ended=!0,e.sync?qQ(t):(e.needReadable=!1,e.emittedReadable||(e.emittedReadable=!0,E2e(t)))}}function qQ(t){var e=t._readableState;$r("emitReadable",e.needReadable,e.emittedReadable),e.needReadable=!1,e.emittedReadable||($r("emitReadable",e.flowing),e.emittedReadable=!0,process.nextTick(E2e,t))}function E2e(t){var e=t._readableState;$r("emitReadable_",e.destroyed,e.length,e.ended),!e.destroyed&&(e.length||e.ended)&&(t.emit("readable"),e.emittedReadable=!1),e.needReadable=!e.flowing&&!e.ended&&e.length<=e.highWaterMark,eG(t)}function Zq(t,e){e.readingMore||(e.readingMore=!0,process.nextTick(CBt,t,e))}function 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r=t._readableState;$r("pipeOnDrain",r.awaitDrain),r.awaitDrain&&r.awaitDrain--,r.awaitDrain===0&&d2e(t,"data")&&(r.flowing=!0,eG(t))}}mn.prototype.unpipe=function(t){var e=this._readableState,r={hasUnpiped:!1};if(e.pipesCount===0)return this;if(e.pipesCount===1)return t&&t!==e.pipes?this:(t||(t=e.pipes),e.pipes=null,e.pipesCount=0,e.flowing=!1,t&&t.emit("unpipe",this,r),this);if(!t){var o=e.pipes,a=e.pipesCount;e.pipes=null,e.pipesCount=0,e.flowing=!1;for(var n=0;n<a;n++)o[n].emit("unpipe",this,{hasUnpiped:!1});return this}var u=I2e(e.pipes,t);return u===-1?this:(e.pipes.splice(u,1),e.pipesCount-=1,e.pipesCount===1&&(e.pipes=e.pipes[0]),t.emit("unpipe",this,r),this)};mn.prototype.on=function(t,e){var r=wv.prototype.on.call(this,t,e),o=this._readableState;return t==="data"?(o.readableListening=this.listenerCount("readable")>0,o.flowing!==!1&&this.resume()):t==="readable"&&!o.endEmitted&&!o.readableListening&&(o.readableListening=o.needReadable=!0,o.flowing=!1,o.emittedReadable=!1,$r("on 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0},ownKeys(t){return Object.keys(t.__specs)},get(t,e){return typeof e=="symbol"||e.slice(0,2)==="__"||e in Bm.prototype?t[e]:t.get(e)},set(t,e,r){if(typeof e=="symbol"||e.slice(0,2)==="__")return t[e]=r,!0;throw new Error("figgyPudding options cannot be modified. 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Use .concat() and shadow them instead.")}};pBe.exports=Evt;function Evt(t,e){function r(...o){return new Proxy(new Bm(t,e,o),fBe)}return r}function ABe(t){let e=[];return t.forEach(r=>e.unshift(r)),e}function Cvt(t){return Object.keys(t).map(e=>[e,t[e]])}});var mBe=_((ser,IA)=>{"use strict";var kv=Be("crypto"),wvt=hBe(),Ivt=Be("stream").Transform,gBe=["sha256","sha384","sha512"],Bvt=/^[a-z0-9+/]+(?:=?=?)$/i,vvt=/^([^-]+)-([^?]+)([?\S*]*)$/,Dvt=/^([^-]+)-([A-Za-z0-9+/=]{44,88})(\?[\x21-\x7E]*)*$/,Pvt=/^[\x21-\x7E]+$/,ia=wvt({algorithms:{default:["sha512"]},error:{default:!1},integrity:{},options:{default:[]},pickAlgorithm:{default:()=>Rvt},Promise:{default:()=>Promise},sep:{default:" "},single:{default:!1},size:{},strict:{default:!1}}),U0=class{get isHash(){return!0}constructor(e,r){r=ia(r);let o=!!r.strict;this.source=e.trim();let a=this.source.match(o?Dvt:vvt);if(!a||o&&!gBe.some(u=>u===a[1]))return;this.algorithm=a[1],this.digest=a[2];let n=a[3];this.options=n?n.slice(1).split("?"):[]}hexDigest(){return this.digest&&Buffer.from(this.digest,"base64").toString("hex")}toJSON(){return this.toString()}toString(e){if(e=ia(e),e.strict&&!(gBe.some(o=>o===this.algorithm)&&this.digest.match(Bvt)&&(this.options||[]).every(o=>o.match(Pvt))))return"";let r=this.options&&this.options.length?`?${this.options.join("?")}`:"";return`${this.algorithm}-${this.digest}${r}`}},vm=class{get isIntegrity(){return!0}toJSON(){return this.toString()}toString(e){e=ia(e);let r=e.sep||" ";return e.strict&&(r=r.replace(/\S+/g," ")),Object.keys(this).map(o=>this[o].map(a=>U0.prototype.toString.call(a,e)).filter(a=>a.length).join(r)).filter(o=>o.length).join(r)}concat(e,r){r=ia(r);let o=typeof e=="string"?e:bv(e,r);return wA(`${this.toString(r)} ${o}`,r)}hexDigest(){return wA(this,{single:!0}).hexDigest()}match(e,r){r=ia(r);let o=wA(e,r),a=o.pickAlgorithm(r);return this[a]&&o[a]&&this[a].find(n=>o[a].find(u=>n.digest===u.digest))||!1}pickAlgorithm(e){e=ia(e);let r=e.pickAlgorithm,o=Object.keys(this);if(!o.length)throw new Error(`No algorithms available for ${JSON.stringify(this.toString())}`);return o.reduce((a,n)=>r(a,n)||a)}};IA.exports.parse=wA;function wA(t,e){if(e=ia(e),typeof t=="string")return dG(t,e);if(t.algorithm&&t.digest){let r=new vm;return r[t.algorithm]=[t],dG(bv(r,e),e)}else return dG(bv(t,e),e)}function dG(t,e){return e.single?new U0(t,e):t.trim().split(/\s+/).reduce((r,o)=>{let a=new U0(o,e);if(a.algorithm&&a.digest){let n=a.algorithm;r[n]||(r[n]=[]),r[n].push(a)}return r},new vm)}IA.exports.stringify=bv;function bv(t,e){return e=ia(e),t.algorithm&&t.digest?U0.prototype.toString.call(t,e):typeof t=="string"?bv(wA(t,e),e):vm.prototype.toString.call(t,e)}IA.exports.fromHex=Svt;function Svt(t,e,r){r=ia(r);let o=r.options&&r.options.length?`?${r.options.join("?")}`:"";return wA(`${e}-${Buffer.from(t,"hex").toString("base64")}${o}`,r)}IA.exports.fromData=xvt;function xvt(t,e){e=ia(e);let r=e.algorithms,o=e.options&&e.options.length?`?${e.options.join("?")}`:"";return r.reduce((a,n)=>{let u=kv.createHash(n).update(t).digest("base64"),A=new U0(`${n}-${u}${o}`,e);if(A.algorithm&&A.digest){let p=A.algorithm;a[p]||(a[p]=[]),a[p].push(A)}return a},new vm)}IA.exports.fromStream=bvt;function bvt(t,e){e=ia(e);let r=e.Promise||Promise,o=mG(e);return new r((a,n)=>{t.pipe(o),t.on("error",n),o.on("error",n);let u;o.on("integrity",A=>{u=A}),o.on("end",()=>a(u)),o.on("data",()=>{})})}IA.exports.checkData=kvt;function kvt(t,e,r){if(r=ia(r),e=wA(e,r),!Object.keys(e).length){if(r.error)throw Object.assign(new Error("No valid integrity hashes to check against"),{code:"EINTEGRITY"});return!1}let o=e.pickAlgorithm(r),a=kv.createHash(o).update(t).digest("base64"),n=wA({algorithm:o,digest:a}),u=n.match(e,r);if(u||!r.error)return u;if(typeof r.size=="number"&&t.length!==r.size){let A=new Error(`data size mismatch when checking ${e}. - Wanted: ${r.size} - Found: ${t.length}`);throw A.code="EBADSIZE",A.found=t.length,A.expected=r.size,A.sri=e,A}else{let A=new Error(`Integrity checksum failed when using ${o}: Wanted ${e}, but got ${n}. 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r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState({restoreResolutions:!1});let u=this.fixed,A=this.interactive??r.get("preferInteractive"),p=A||r.get("preferReuse"),h=p2(this,o),E=[p?"reuse":void 0,"project",this.cached?"cache":void 0,"latest"].filter(U=>typeof U<"u"),I=A?1/0:1,v=await Promise.all(this.packages.map(async U=>{let J=U.match(/^\.{0,2}\//)?await P8(U,{cwd:this.context.cwd,workspace:a}):W.tryParseDescriptor(U),te=U.match(/^(https?:|git@github)/);if(te)throw new it(`It seems you are trying to add a package using a ${de.pretty(r,`${te[0]}...`,de.Type.RANGE)} url; we now require package names to be explicitly specified. -Try running the command again with the package name prefixed: ${de.pretty(r,"yarn add",de.Type.CODE)} 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If the package was already listed in your `dependencies`, it will be upgraded to `optionalDependencies`. If the package was already listed in your `peerDependencies`, in combination with the `-P,--peer` flag, it will be upgraded to an optional peer dependency: `\"peerDependenciesMeta\": { \"<package>\": { \"optional\": true } }`\n\n - If the added package doesn't specify a range at all its `latest` tag will be resolved and the returned version will be used to generate a new semver range (using the `^` modifier by default unless otherwise configured via the `defaultSemverRangePrefix` configuration, or the `~` modifier if `-T,--tilde` is specified, or no modifier at all if `-E,--exact` is specified). 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Adding the `-R,--recursive` flag will also report transitive dependencies.\n\n Some fields will be hidden by default in order to keep the output readable, but can be selectively displayed by using additional options (`--dependents`, `--manifest`, `--virtuals`, ...) described in the option descriptions.\n\n Note that this command will only print the information directly related to the selected packages - if you wish to know why the package is there in the first place, use `yarn why` which will do just that (it also provides a `-R,--recursive` flag that may be of some help).\n ",examples:[["Show information about Lodash","$0 info lodash"]]});Ye();Pt();Nl();var dk=$e(ed());qt();var U8=$e(zn());Za();var J0t=[{selector:t=>t===-1,name:"nodeLinker",value:"node-modules"},{selector:t=>t!==-1&&t<8,name:"enableGlobalCache",value:!1},{selector:t=>t!==-1&&t<8,name:"compressionLevel",value:"mixed"}],jh=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.immutable=ge.Boolean("--immutable",{description:"Abort with an error exit code if the lockfile was to be modified"});this.immutableCache=ge.Boolean("--immutable-cache",{description:"Abort with an error exit code if the cache folder was to be modified"});this.refreshLockfile=ge.Boolean("--refresh-lockfile",{description:"Refresh the package metadata stored in the lockfile"});this.checkCache=ge.Boolean("--check-cache",{description:"Always refetch the packages and ensure that their checksums are consistent"});this.checkResolutions=ge.Boolean("--check-resolutions",{description:"Validates that the package resolutions are coherent"});this.inlineBuilds=ge.Boolean("--inline-builds",{description:"Verbosely print the output of the build steps of dependencies"});this.mode=ge.String("--mode",{description:"Change what artifacts installs generate",validator:Vs(pl)});this.cacheFolder=ge.String("--cache-folder",{hidden:!0});this.frozenLockfile=ge.Boolean("--frozen-lockfile",{hidden:!0});this.ignoreEngines=ge.Boolean("--ignore-engines",{hidden:!0});this.nonInteractive=ge.Boolean("--non-interactive",{hidden:!0});this.preferOffline=ge.Boolean("--prefer-offline",{hidden:!0});this.production=ge.Boolean("--production",{hidden:!0});this.registry=ge.String("--registry",{hidden:!0});this.silent=ge.Boolean("--silent",{hidden:!0});this.networkTimeout=ge.String("--network-timeout",{hidden:!0})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins);typeof this.inlineBuilds<"u"&&r.useWithSource("<cli>",{enableInlineBuilds:this.inlineBuilds},r.startingCwd,{overwrite:!0});let o=!!process.env.FUNCTION_TARGET||!!process.env.GOOGLE_RUNTIME,a=await NE({configuration:r,stdout:this.context.stdout},[{option:this.ignoreEngines,message:"The --ignore-engines option is deprecated; engine checking isn't a core feature anymore",error:!dk.default.VERCEL},{option:this.registry,message:"The --registry option is deprecated; prefer setting npmRegistryServer in your .yarnrc.yml file"},{option:this.preferOffline,message:"The --prefer-offline flag is deprecated; use the --cached flag with 'yarn add' instead",error:!dk.default.VERCEL},{option:this.production,message:"The --production option is deprecated on 'install'; use 'yarn workspaces focus' instead",error:!0},{option:this.nonInteractive,message:"The --non-interactive option is deprecated",error:!o},{option:this.frozenLockfile,message:"The --frozen-lockfile option is deprecated; use --immutable and/or --immutable-cache instead",callback:()=>this.immutable=this.frozenLockfile},{option:this.cacheFolder,message:"The cache-folder option has been deprecated; use rc settings instead",error:!dk.default.NETLIFY}]);if(a!==null)return a;let n=this.mode==="update-lockfile";if(n&&(this.immutable||this.immutableCache))throw new it(`${de.pretty(r,"--immutable",de.Type.CODE)} and ${de.pretty(r,"--immutable-cache",de.Type.CODE)} cannot be used with ${de.pretty(r,"--mode=update-lockfile",de.Type.CODE)}`);let u=(this.immutable??r.get("enableImmutableInstalls"))&&!n,A=this.immutableCache&&!n;if(r.projectCwd!==null){let T=await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout,includeFooter:!1},async L=>{let U=!1;await Z0t(r,u)&&(L.reportInfo(48,"Automatically removed core plugins that are now builtins \u{1F44D}"),U=!0),await X0t(r,u)&&(L.reportInfo(48,"Automatically fixed merge conflicts \u{1F44D}"),U=!0),U&&L.reportSeparator()});if(T.hasErrors())return T.exitCode()}if(r.projectCwd!==null){let T=await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout,includeFooter:!1},async L=>{if(Ve.telemetry?.isNew)Ve.telemetry.commitTips(),L.reportInfo(65,"Yarn will periodically gather anonymous telemetry: https://yarnpkg.com/advanced/telemetry"),L.reportInfo(65,`Run ${de.pretty(r,"yarn config set --home enableTelemetry 0",de.Type.CODE)} to disable`),L.reportSeparator();else if(Ve.telemetry?.shouldShowTips){let U=await rn.get("https://repo.yarnpkg.com/tags",{configuration:r,jsonResponse:!0}).catch(()=>null);if(U!==null){let J=null;if(tn!==null){let le=U8.default.prerelease(tn)?"canary":"stable",pe=U.latest[le];U8.default.gt(pe,tn)&&(J=[le,pe])}if(J)Ve.telemetry.commitTips(),L.reportInfo(88,`${de.applyStyle(r,`A new ${J[0]} version of Yarn is available:`,de.Style.BOLD)} ${W.prettyReference(r,J[1])}!`),L.reportInfo(88,`Upgrade now by running ${de.pretty(r,`yarn set version ${J[1]}`,de.Type.CODE)}`),L.reportSeparator();else{let te=Ve.telemetry.selectTip(U.tips);te&&(L.reportInfo(89,de.pretty(r,te.message,de.Type.MARKDOWN_INLINE)),te.url&&L.reportInfo(89,`Learn more at ${te.url}`),L.reportSeparator())}}}});if(T.hasErrors())return T.exitCode()}let{project:p,workspace:h}=await St.find(r,this.context.cwd),E=p.lockfileLastVersion;if(E!==null){let T=await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout,includeFooter:!1},async L=>{let U={};for(let J of J0t)J.selector(E)&&typeof r.sources.get(J.name)>"u"&&(r.use("<compat>",{[J.name]:J.value},p.cwd,{overwrite:!0}),U[J.name]=J.value);Object.keys(U).length>0&&(await Ve.updateConfiguration(p.cwd,U),L.reportInfo(87,"Migrated your project to the latest Yarn version \u{1F680}"),L.reportSeparator())});if(T.hasErrors())return T.exitCode()}let I=await Lr.find(r,{immutable:A,check:this.checkCache});if(!h)throw new rr(p.cwd,this.context.cwd);await p.restoreInstallState({restoreResolutions:!1});let v=r.get("enableHardenedMode");v&&typeof r.sources.get("enableHardenedMode")>"u"&&await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout,includeFooter:!1},async T=>{T.reportWarning(0,"Yarn detected that the current workflow is executed from a public pull request. For safety the hardened mode has been enabled."),T.reportWarning(0,`It will prevent malicious lockfile manipulations, in exchange for a slower install time. You can opt-out if necessary; check our ${de.applyHyperlink(r,"documentation","https://yarnpkg.com/features/security#hardened-mode")} for more details.`),T.reportSeparator()}),(this.refreshLockfile??v)&&(p.lockfileNeedsRefresh=!0);let b=this.checkResolutions??v;return(await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout,forceSectionAlignment:!0,includeLogs:!0,includeVersion:!0},async T=>{await p.install({cache:I,report:T,immutable:u,checkResolutions:b,mode:this.mode})})).exitCode()}};jh.paths=[["install"],nt.Default],jh.usage=nt.Usage({description:"install the project dependencies",details:"\n This command sets up your project if needed. The installation is split into four different steps that each have their own characteristics:\n\n - **Resolution:** First the package manager will resolve your dependencies. The exact way a dependency version is privileged over another isn't standardized outside of the regular semver guarantees. If a package doesn't resolve to what you would expect, check that all dependencies are correctly declared (also check our website for more information: ).\n\n - **Fetch:** Then we download all the dependencies if needed, and make sure that they're all stored within our cache (check the value of `cacheFolder` in `yarn config` to see where the cache files are stored).\n\n - **Link:** Then we send the dependency tree information to internal plugins tasked with writing them on the disk in some form (for example by generating the .pnp.cjs file you might know).\n\n - **Build:** Once the dependency tree has been written on the disk, the package manager will now be free to run the build scripts for all packages that might need it, in a topological order compatible with the way they depend on one another. See https://yarnpkg.com/advanced/lifecycle-scripts for detail.\n\n Note that running this command is not part of the recommended workflow. Yarn supports zero-installs, which means that as long as you store your cache and your .pnp.cjs file inside your repository, everything will work without requiring any install right after cloning your repository or switching branches.\n\n If the `--immutable` option is set (defaults to true on CI), Yarn will abort with an error exit code if the lockfile was to be modified (other paths can be added using the `immutablePatterns` configuration setting). For backward compatibility we offer an alias under the name of `--frozen-lockfile`, but it will be removed in a later release.\n\n If the `--immutable-cache` option is set, Yarn will abort with an error exit code if the cache folder was to be modified (either because files would be added, or because they'd be removed).\n\n If the `--refresh-lockfile` option is set, Yarn will keep the same resolution for the packages currently in the lockfile but will refresh their metadata. If used together with `--immutable`, it can validate that the lockfile information are consistent. This flag is enabled by default when Yarn detects it runs within a pull request context.\n\n If the `--check-cache` option is set, Yarn will always refetch the packages and will ensure that their checksum matches what's 1/ described in the lockfile 2/ inside the existing cache files (if present). This is recommended as part of your CI workflow if you're both following the Zero-Installs model and accepting PRs from third-parties, as they'd otherwise have the ability to alter the checked-in packages before submitting them.\n\n If the `--inline-builds` option is set, Yarn will verbosely print the output of the build steps of your dependencies (instead of writing them into individual files). This is likely useful mostly for debug purposes only when using Docker-like environments.\n\n If the `--mode=<mode>` option is set, Yarn will change which artifacts are generated. The modes currently supported are:\n\n - `skip-build` will not run the build scripts at all. 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Can't link the project to itself`);if(!v)throw new rr(I.cwd,h);if(this.all){let b=!1;for(let C of I.workspaces)C.manifest.name&&(!C.manifest.private||this.private)&&(A.push(C),b=!0);if(!b)throw new it(`No workspace found to be linked in the target project: ${p}`)}else{if(!v.manifest.name)throw new it(`The target workspace at '${p}' doesn't have a name and thus cannot be linked`);if(v.manifest.private&&!this.private)throw new it(`The target workspace at '${p}' is marked private - use the --private flag to link it anyway`);A.push(v)}}for(let p of A){let h=W.stringifyIdent(p.anchoredLocator),E=this.relative?K.relative(o.cwd,p.cwd):p.cwd;u.manifest.resolutions.push({pattern:{descriptor:{fullName:h}},reference:`portal:${E}`})}return await o.installWithNewReport({stdout:this.context.stdout},{cache:n})}};qh.paths=[["link"]],qh.usage=nt.Usage({description:"connect the local project to another one",details:"\n This command will set a new `resolutions` field in the project-level manifest and point it to the workspace at the specified location (even if part of another project).\n ",examples:[["Register one or more remote workspaces for use in the current project","$0 link ~/ts-loader ~/jest"],["Register all workspaces from a remote project for use in the current project","$0 link ~/jest --all"]]});qt();var Gh=class extends ut{constructor(){super(...arguments);this.args=ge.Proxy()}async execute(){return this.cli.run(["exec","node",...this.args])}};Gh.paths=[["node"]],Gh.usage=nt.Usage({description:"run node with the hook already setup",details:` - This command simply runs Node. 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Only those plugins can be referenced by name in `yarn plugin import`.\n ",examples:[["List the official plugins","$0 plugin list"]]});var egt=/^[0-9]+$/,tgt=process.platform==="win32";function rde(t){return egt.test(t)?`pull/${t}/head`:t}var rgt=({repository:t,branch:e},r)=>[["git","init",ue.fromPortablePath(r)],["git","remote","add","origin",t],["git","fetch","origin","--depth=1",rde(e)],["git","reset","--hard","FETCH_HEAD"]],ngt=({branch:t})=>[["git","fetch","origin","--depth=1",rde(t),"--force"],["git","reset","--hard","FETCH_HEAD"],["git","clean","-dfx","-e","packages/yarnpkg-cli/bundles"]],igt=({plugins:t,noMinify:e},r,o)=>[["yarn","build:cli",...new Array().concat(...t.map(a=>["--plugin",K.resolve(o,a)])),...e?["--no-minify"]:[],"|"],[tgt?"move":"mv","packages/yarnpkg-cli/bundles/yarn.js",ue.fromPortablePath(r),"|"]],Vh=class extends ut{constructor(){super(...arguments);this.installPath=ge.String("--path",{description:"The path where the repository should be cloned to"});this.repository=ge.String("--repository","https://github.com/yarnpkg/berry.git",{description:"The repository that should be cloned"});this.branch=ge.String("--branch","master",{description:"The branch of the repository that should be cloned"});this.plugins=ge.Array("--plugin",[],{description:"An array of additional plugins that should be included in the bundle"});this.dryRun=ge.Boolean("-n,--dry-run",!1,{description:"If set, the bundle will be built but not added to the project"});this.noMinify=ge.Boolean("--no-minify",!1,{description:"Build a bundle for development (debugging) - non-minified and non-mangled"});this.force=ge.Boolean("-f,--force",!1,{description:"Always clone the repository instead of trying to fetch the latest commits"});this.skipPlugins=ge.Boolean("--skip-plugins",!1,{description:"Skip updating the contrib plugins"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd),a=typeof this.installPath<"u"?K.resolve(this.context.cwd,ue.toPortablePath(this.installPath)):K.resolve(ue.toPortablePath((0,tde.tmpdir)()),"yarnpkg-sources",wn.makeHash(this.repository).slice(0,6));return(await Nt.start({configuration:r,stdout:this.context.stdout},async u=>{await _8(this,{configuration:r,report:u,target:a}),u.reportSeparator(),u.reportInfo(0,"Building a fresh bundle"),u.reportSeparator();let A=await Ur.execvp("git",["rev-parse","--short","HEAD"],{cwd:a,strict:!0}),p=K.join(a,`packages/yarnpkg-cli/bundles/yarn-${A.stdout.trim()}.js`);oe.existsSync(p)||(await y2(igt(this,p,a),{configuration:r,context:this.context,target:a}),u.reportSeparator());let h=await oe.readFilePromise(p);if(!this.dryRun){let{bundleVersion:E}=await O8(r,null,async()=>h,{report:u});this.skipPlugins||await sgt(this,E,{project:o,report:u,target:a})}})).exitCode()}};Vh.paths=[["set","version","from","sources"]],Vh.usage=nt.Usage({description:"build Yarn from master",details:` - This command will clone the Yarn repository into a temporary folder, then build it. The resulting bundle will then be copied into the local project. - - By default, it also updates all contrib plugins to the same commit the bundle is built from. This behavior can be disabled by using the \`--skip-plugins\` flag. - `,examples:[["Build Yarn from master","$0 set version from sources"]]});async function y2(t,{configuration:e,context:r,target:o}){for(let[a,...n]of t){let u=n[n.length-1]==="|";if(u&&n.pop(),u)await Ur.pipevp(a,n,{cwd:o,stdin:r.stdin,stdout:r.stdout,stderr:r.stderr,strict:!0});else{r.stdout.write(`${de.pretty(e,` $ ${[a,...n].join(" ")}`,"grey")} -`);try{await Ur.execvp(a,n,{cwd:o,strict:!0})}catch(A){throw r.stdout.write(A.stdout||A.stack),A}}}}async function _8(t,{configuration:e,report:r,target:o}){let a=!1;if(!t.force&&oe.existsSync(K.join(o,".git"))){r.reportInfo(0,"Fetching the latest commits"),r.reportSeparator();try{await y2(ngt(t),{configuration:e,context:t.context,target:o}),a=!0}catch{r.reportSeparator(),r.reportWarning(0,"Repository update failed; we'll try to regenerate it")}}a||(r.reportInfo(0,"Cloning the remote repository"),r.reportSeparator(),await oe.removePromise(o),await oe.mkdirPromise(o,{recursive:!0}),await y2(rgt(t,o),{configuration:e,context:t.context,target:o}))}async function sgt(t,e,{project:r,report:o,target:a}){let n=await Jd(r.configuration,e),u=new Set(Object.keys(n));for(let A of r.configuration.plugins.keys())!u.has(A)||await H8(A,t,{project:r,report:o,target:a})}Ye();Ye();Pt();qt();var nde=$e(zn()),ide=Be("url"),sde=Be("vm");var Kh=class extends ut{constructor(){super(...arguments);this.name=ge.String();this.checksum=ge.Boolean("--checksum",!0,{description:"Whether to care if this plugin is modified"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins);return(await Nt.start({configuration:r,stdout:this.context.stdout},async a=>{let{project:n}=await St.find(r,this.context.cwd),u,A;if(this.name.match(/^\.{0,2}[\\/]/)||ue.isAbsolute(this.name)){let p=K.resolve(this.context.cwd,ue.toPortablePath(this.name));a.reportInfo(0,`Reading ${de.pretty(r,p,de.Type.PATH)}`),u=K.relative(n.cwd,p),A=await oe.readFilePromise(p)}else{let p;if(this.name.match(/^https?:/)){try{new ide.URL(this.name)}catch{throw new zt(52,`Plugin specifier "${this.name}" is neither a plugin name nor a valid url`)}u=this.name,p=this.name}else{let h=W.parseLocator(this.name.replace(/^((@yarnpkg\/)?plugin-)?/,"@yarnpkg/plugin-"));if(h.reference!=="unknown"&&!nde.default.valid(h.reference))throw new zt(0,"Official plugins only accept strict version references. Use an explicit URL if you wish to download them from another location.");let E=W.stringifyIdent(h),I=await Jd(r,tn);if(!Object.hasOwn(I,E)){let v=`Couldn't find a plugin named ${W.prettyIdent(r,h)} on the remote registry. -`;throw r.plugins.has(E)?v+=`A plugin named ${W.prettyIdent(r,h)} is already installed; possibly attempting to import a built-in plugin.`:v+=`Note that only the plugins referenced on our website (${de.pretty(r,"https://github.com/yarnpkg/berry/blob/master/plugins.yml",de.Type.URL)}) can be referenced by their name; any other plugin will have to be referenced through its public url (for example ${de.pretty(r,"https://github.com/yarnpkg/berry/raw/master/packages/plugin-typescript/bin/%40yarnpkg/plugin-typescript.js",de.Type.URL)}).`,new zt(51,v)}u=E,p=I[E].url,h.reference!=="unknown"?p=p.replace(/\/master\//,`/${E}/${h.reference}/`):tn!==null&&(p=p.replace(/\/master\//,`/@yarnpkg/cli/${tn}/`))}a.reportInfo(0,`Downloading ${de.pretty(r,p,"green")}`),A=await rn.get(p,{configuration:r})}await j8(u,A,{checksum:this.checksum,project:n,report:a})})).exitCode()}};Kh.paths=[["plugin","import"]],Kh.usage=nt.Usage({category:"Plugin-related commands",description:"download a plugin",details:` - This command downloads the specified plugin from its remote location and updates the configuration to reference it in further CLI invocations. - - Three types of plugin references are accepted: - - - If the plugin is stored within the Yarn repository, it can be referenced by name. - - Third-party plugins can be referenced directly through their public urls. - - Local plugins can be referenced by their path on the disk. - - If the \`--no-checksum\` option is set, Yarn will no longer care if the plugin is modified. - - Plugins cannot be downloaded from the npm registry, and aren't allowed to have dependencies (they need to be bundled into a single file, possibly thanks to the \`@yarnpkg/builder\` package). - `,examples:[['Download and activate the "@yarnpkg/plugin-exec" plugin',"$0 plugin import @yarnpkg/plugin-exec"],['Download and activate the "@yarnpkg/plugin-exec" plugin (shorthand)',"$0 plugin import exec"],["Download and activate a community plugin","$0 plugin import https://example.org/path/to/plugin.js"],["Activate a local plugin","$0 plugin import ./path/to/plugin.js"]]});async function j8(t,e,{checksum:r=!0,project:o,report:a}){let{configuration:n}=o,u={},A={exports:u};(0,sde.runInNewContext)(e.toString(),{module:A,exports:u});let h=`.yarn/plugins/${A.exports.name}.cjs`,E=K.resolve(o.cwd,h);a.reportInfo(0,`Saving the new plugin in ${de.pretty(n,h,"magenta")}`),await oe.mkdirPromise(K.dirname(E),{recursive:!0}),await oe.writeFilePromise(E,e);let I={path:h,spec:t};r&&(I.checksum=wn.makeHash(e)),await Ve.addPlugin(o.cwd,[I])}var ogt=({pluginName:t,noMinify:e},r)=>[["yarn",`build:${t}`,...e?["--no-minify"]:[],"|"]],Jh=class extends ut{constructor(){super(...arguments);this.installPath=ge.String("--path",{description:"The path where the repository should be cloned to"});this.repository=ge.String("--repository","https://github.com/yarnpkg/berry.git",{description:"The repository that should be cloned"});this.branch=ge.String("--branch","master",{description:"The branch of the repository that should be cloned"});this.noMinify=ge.Boolean("--no-minify",!1,{description:"Build a plugin for development (debugging) - non-minified and non-mangled"});this.force=ge.Boolean("-f,--force",!1,{description:"Always clone the repository instead of trying to fetch the latest commits"});this.name=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=typeof this.installPath<"u"?K.resolve(this.context.cwd,ue.toPortablePath(this.installPath)):K.resolve(ue.toPortablePath((0,ode.tmpdir)()),"yarnpkg-sources",wn.makeHash(this.repository).slice(0,6));return(await Nt.start({configuration:r,stdout:this.context.stdout},async n=>{let{project:u}=await St.find(r,this.context.cwd),A=W.parseIdent(this.name.replace(/^((@yarnpkg\/)?plugin-)?/,"@yarnpkg/plugin-")),p=W.stringifyIdent(A),h=await Jd(r,tn);if(!Object.hasOwn(h,p))throw new zt(51,`Couldn't find a plugin named "${p}" on the remote registry. Note that only the plugins referenced on our website (https://github.com/yarnpkg/berry/blob/master/plugins.yml) can be built and imported from sources.`);let E=p;await _8(this,{configuration:r,report:n,target:o}),await H8(E,this,{project:u,report:n,target:o})})).exitCode()}};Jh.paths=[["plugin","import","from","sources"]],Jh.usage=nt.Usage({category:"Plugin-related commands",description:"build a plugin from sources",details:` - This command clones the Yarn repository into a temporary folder, builds the specified contrib plugin and updates the configuration to reference it in further CLI invocations. - - The plugins can be referenced by their short name if sourced from the official Yarn repository. - `,examples:[['Build and activate the "@yarnpkg/plugin-exec" plugin',"$0 plugin import from sources @yarnpkg/plugin-exec"],['Build and activate the "@yarnpkg/plugin-exec" plugin (shorthand)',"$0 plugin import from sources exec"]]});async function H8(t,{context:e,noMinify:r},{project:o,report:a,target:n}){let u=t.replace(/@yarnpkg\//,""),{configuration:A}=o;a.reportSeparator(),a.reportInfo(0,`Building a fresh ${u}`),a.reportSeparator(),await y2(ogt({pluginName:u,noMinify:r},n),{configuration:A,context:e,target:n}),a.reportSeparator();let p=K.resolve(n,`packages/${u}/bundles/${t}.js`),h=await oe.readFilePromise(p);await j8(t,h,{project:o,report:a})}Ye();Pt();qt();var zh=class extends ut{constructor(){super(...arguments);this.name=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd);return(await Nt.start({configuration:r,stdout:this.context.stdout},async n=>{let u=this.name,A=W.parseIdent(u);if(!r.plugins.has(u))throw new it(`${W.prettyIdent(r,A)} isn't referenced by the current configuration`);let p=`.yarn/plugins/${u}.cjs`,h=K.resolve(o.cwd,p);oe.existsSync(h)&&(n.reportInfo(0,`Removing ${de.pretty(r,p,de.Type.PATH)}...`),await oe.removePromise(h)),n.reportInfo(0,"Updating the configuration..."),await Ve.updateConfiguration(o.cwd,{plugins:E=>{if(!Array.isArray(E))return E;let I=E.filter(v=>v.path!==p);return I.length===0?Ve.deleteProperty:I.length===E.length?E:I}})})).exitCode()}};zh.paths=[["plugin","remove"]],zh.usage=nt.Usage({category:"Plugin-related commands",description:"remove a plugin",details:` - This command deletes the specified plugin from the .yarn/plugins folder and removes it from the configuration. - - **Note:** The plugins have to be referenced by their name property, which can be obtained using the \`yarn plugin runtime\` command. Shorthands are not allowed. - `,examples:[["Remove a plugin imported from the Yarn repository","$0 plugin remove @yarnpkg/plugin-typescript"],["Remove a plugin imported from a local file","$0 plugin remove my-local-plugin"]]});Ye();qt();var Xh=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins);return(await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout},async a=>{for(let n of r.plugins.keys()){let u=this.context.plugins.plugins.has(n),A=n;u&&(A+=" [builtin]"),a.reportJson({name:n,builtin:u}),a.reportInfo(null,`${A}`)}})).exitCode()}};Xh.paths=[["plugin","runtime"]],Xh.usage=nt.Usage({category:"Plugin-related commands",description:"list the active plugins",details:` - This command prints the currently active plugins. Will be displayed both builtin plugins and external plugins. - `,examples:[["List the currently active plugins","$0 plugin runtime"]]});Ye();Ye();qt();var Zh=class extends ut{constructor(){super(...arguments);this.idents=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);let u=new Set;for(let A of this.idents)u.add(W.parseIdent(A).identHash);if(await o.restoreInstallState({restoreResolutions:!1}),await o.resolveEverything({cache:n,report:new Qi}),u.size>0)for(let A of o.storedPackages.values())u.has(A.identHash)&&(o.storedBuildState.delete(A.locatorHash),o.skippedBuilds.delete(A.locatorHash));else o.storedBuildState.clear(),o.skippedBuilds.clear();return await o.installWithNewReport({stdout:this.context.stdout,quiet:this.context.quiet},{cache:n})}};Zh.paths=[["rebuild"]],Zh.usage=nt.Usage({description:"rebuild the project's native packages",details:` - This command will automatically cause Yarn to forget about previous compilations of the given packages and to run them again. - - Note that while Yarn forgets the compilation, the previous artifacts aren't erased from the filesystem and may affect the next builds (in good or bad). To avoid this, you may remove the .yarn/unplugged folder, or any other relevant location where packages might have been stored (Yarn may offer a way to do that automatically in the future). - - By default all packages will be rebuilt, but you can filter the list by specifying the names of the packages you want to clear from memory. - `,examples:[["Rebuild all packages","$0 rebuild"],["Rebuild fsevents only","$0 rebuild fsevents"]]});Ye();Ye();Ye();qt();var q8=$e(Zo());Za();var $h=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Apply the operation to all workspaces from the current project"});this.mode=ge.String("--mode",{description:"Change what artifacts installs generate",validator:Vs(pl)});this.patterns=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState({restoreResolutions:!1});let u=this.all?o.workspaces:[a],A=["dependencies","devDependencies","peerDependencies"],p=[],h=!1,E=[];for(let C of this.patterns){let T=!1,L=W.parseIdent(C);for(let U of u){let J=[...U.manifest.peerDependenciesMeta.keys()];for(let te of(0,q8.default)(J,C))U.manifest.peerDependenciesMeta.delete(te),h=!0,T=!0;for(let te of A){let le=U.manifest.getForScope(te),pe=[...le.values()].map(Ae=>W.stringifyIdent(Ae));for(let Ae of(0,q8.default)(pe,W.stringifyIdent(L))){let{identHash:ye}=W.parseIdent(Ae),ae=le.get(ye);if(typeof ae>"u")throw new Error("Assertion failed: Expected the descriptor to be registered");U.manifest[te].delete(ye),E.push([U,te,ae]),h=!0,T=!0}}}T||p.push(C)}let I=p.length>1?"Patterns":"Pattern",v=p.length>1?"don't":"doesn't",b=this.all?"any":"this";if(p.length>0)throw new it(`${I} ${de.prettyList(r,p,de.Type.CODE)} ${v} match any packages referenced by ${b} workspace`);return h?(await r.triggerMultipleHooks(C=>C.afterWorkspaceDependencyRemoval,E),await o.installWithNewReport({stdout:this.context.stdout},{cache:n,mode:this.mode})):0}};$h.paths=[["remove"]],$h.usage=nt.Usage({description:"remove dependencies from the project",details:` - This command will remove the packages matching the specified patterns from the current workspace. - - If the \`--mode=<mode>\` option is set, Yarn will change which artifacts are generated. The modes currently supported are: - - - \`skip-build\` will not run the build scripts at all. Note that this is different from setting \`enableScripts\` to false because the latter will disable build scripts, and thus affect the content of the artifacts generated on disk, whereas the former will just disable the build step - but not the scripts themselves, which just won't run. - - - \`update-lockfile\` will skip the link step altogether, and only fetch packages that are missing from the lockfile (or that have no associated checksums). This mode is typically used by tools like Renovate or Dependabot to keep a lockfile up-to-date without incurring the full install cost. - - This command accepts glob patterns as arguments (if valid Idents and supported by [micromatch](https://github.com/micromatch/micromatch)). Make sure to escape the patterns, to prevent your own shell from trying to expand them. - `,examples:[["Remove a dependency from the current project","$0 remove lodash"],["Remove a dependency from all workspaces at once","$0 remove lodash --all"],["Remove all dependencies starting with `eslint-`","$0 remove 'eslint-*'"],["Remove all dependencies with the `@babel` scope","$0 remove '@babel/*'"],["Remove all dependencies matching `react-dom` or `react-helmet`","$0 remove 'react-{dom,helmet}'"]]});Ye();Ye();var ade=Be("util"),zd=class extends ut{async execute(){let e=await Ve.find(this.context.cwd,this.context.plugins),{project:r,workspace:o}=await St.find(e,this.context.cwd);if(!o)throw new rr(r.cwd,this.context.cwd);return(await Nt.start({configuration:e,stdout:this.context.stdout},async n=>{let u=o.manifest.scripts,A=je.sortMap(u.keys(),E=>E),p={breakLength:1/0,colors:e.get("enableColors"),maxArrayLength:2},h=A.reduce((E,I)=>Math.max(E,I.length),0);for(let[E,I]of u.entries())n.reportInfo(null,`${E.padEnd(h," ")} ${(0,ade.inspect)(I,p)}`)})).exitCode()}};zd.paths=[["run"]];Ye();Ye();qt();var e0=class extends ut{constructor(){super(...arguments);this.inspect=ge.String("--inspect",!1,{tolerateBoolean:!0,description:"Forwarded to the underlying Node process when executing a binary"});this.inspectBrk=ge.String("--inspect-brk",!1,{tolerateBoolean:!0,description:"Forwarded to the underlying Node process when executing a binary"});this.topLevel=ge.Boolean("-T,--top-level",!1,{description:"Check the root workspace for scripts and/or binaries instead of the current one"});this.binariesOnly=ge.Boolean("-B,--binaries-only",!1,{description:"Ignore any user defined scripts and only check for binaries"});this.require=ge.String("--require",{description:"Forwarded to the underlying Node process when executing a binary"});this.silent=ge.Boolean("--silent",{hidden:!0});this.scriptName=ge.String();this.args=ge.Proxy()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a,locator:n}=await St.find(r,this.context.cwd);await o.restoreInstallState();let u=this.topLevel?o.topLevelWorkspace.anchoredLocator:n;if(!this.binariesOnly&&await un.hasPackageScript(u,this.scriptName,{project:o}))return await un.executePackageScript(u,this.scriptName,this.args,{project:o,stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr});let A=await un.getPackageAccessibleBinaries(u,{project:o});if(A.get(this.scriptName)){let h=[];return this.inspect&&(typeof this.inspect=="string"?h.push(`--inspect=${this.inspect}`):h.push("--inspect")),this.inspectBrk&&(typeof this.inspectBrk=="string"?h.push(`--inspect-brk=${this.inspectBrk}`):h.push("--inspect-brk")),this.require&&h.push(`--require=${this.require}`),await un.executePackageAccessibleBinary(u,this.scriptName,this.args,{cwd:this.context.cwd,project:o,stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr,nodeArgs:h,packageAccessibleBinaries:A})}if(!this.topLevel&&!this.binariesOnly&&a&&this.scriptName.includes(":")){let E=(await Promise.all(o.workspaces.map(async I=>I.manifest.scripts.has(this.scriptName)?I:null))).filter(I=>I!==null);if(E.length===1)return await un.executeWorkspaceScript(E[0],this.scriptName,this.args,{stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr})}if(this.topLevel)throw this.scriptName==="node-gyp"?new it(`Couldn't find a script name "${this.scriptName}" in the top-level (used by ${W.prettyLocator(r,n)}). This typically happens because some package depends on "node-gyp" to build itself, but didn't list it in their dependencies. To fix that, please run "yarn add node-gyp" into your top-level workspace. You also can open an issue on the repository of the specified package to suggest them to use an optional peer dependency.`):new it(`Couldn't find a script name "${this.scriptName}" in the top-level (used by ${W.prettyLocator(r,n)}).`);{if(this.scriptName==="global")throw new it("The 'yarn global' commands have been removed in 2.x - consider using 'yarn dlx' or a third-party plugin instead");let h=[this.scriptName].concat(this.args);for(let[E,I]of uC)for(let v of I)if(h.length>=v.length&&JSON.stringify(h.slice(0,v.length))===JSON.stringify(v))throw new it(`Couldn't find a script named "${this.scriptName}", but a matching command can be found in the ${E} plugin. You can install it with "yarn plugin import ${E}".`);throw new it(`Couldn't find a script named "${this.scriptName}".`)}}};e0.paths=[["run"]],e0.usage=nt.Usage({description:"run a script defined in the package.json",details:` - This command will run a tool. The exact tool that will be executed will depend on the current state of your workspace: - - - If the \`scripts\` field from your local package.json contains a matching script name, its definition will get executed. - - - Otherwise, if one of the local workspace's dependencies exposes a binary with a matching name, this binary will get executed. - - - Otherwise, if the specified name contains a colon character and if one of the workspaces in the project contains exactly one script with a matching name, then this script will get executed. - - Whatever happens, the cwd of the spawned process will be the workspace that declares the script (which makes it possible to call commands cross-workspaces using the third syntax). - `,examples:[["Run the tests from the local workspace","$0 run test"],['Same thing, but without the "run" keyword',"$0 test"],["Inspect Webpack while running","$0 run --inspect-brk webpack"]]});Ye();Ye();qt();var t0=class extends ut{constructor(){super(...arguments);this.descriptor=ge.String();this.resolution=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(await o.restoreInstallState({restoreResolutions:!1}),!a)throw new rr(o.cwd,this.context.cwd);let u=W.parseDescriptor(this.descriptor,!0),A=W.makeDescriptor(u,this.resolution);return o.storedDescriptors.set(u.descriptorHash,u),o.storedDescriptors.set(A.descriptorHash,A),o.resolutionAliases.set(u.descriptorHash,A.descriptorHash),await o.installWithNewReport({stdout:this.context.stdout},{cache:n})}};t0.paths=[["set","resolution"]],t0.usage=nt.Usage({description:"enforce a package resolution",details:'\n This command updates the resolution table so that `descriptor` is resolved by `resolution`.\n\n Note that by default this command only affect the current resolution table - meaning that this "manual override" will disappear if you remove the lockfile, or if the package disappear from the table. 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sH>"u"&&(sH=Be("zlib").brotliDecompressSync(Buffer.from("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","base64")).toString()),sH}var Mde=new Map([[W.makeIdent(null,"fsevents").identHash,Rde],[W.makeIdent(null,"resolve").identHash,Nde],[W.makeIdent(null,"typescript").identHash,Lde]]),Fgt={hooks:{registerPackageExtensions:async(t,e)=>{for(let[r,o]of rH)e(W.parseDescriptor(r,!0),o)},getBuiltinPatch:async(t,e)=>{let r="compat/";if(!e.startsWith(r))return;let o=W.parseIdent(e.slice(r.length)),a=Mde.get(o.identHash)?.();return typeof a<"u"?a:null},reduceDependency:async(t,e,r,o)=>typeof Mde.get(t.identHash)>"u"?t:W.makeDescriptor(t,W.makeRange({protocol:"patch:",source:W.stringifyDescriptor(t),selector:`optional!builtin<compat/${W.stringifyIdent(t)}>`,params:null}))}},Tgt=Fgt;var BH={};Kt(BH,{ConstraintsCheckCommand:()=>p0,ConstraintsQueryCommand:()=>A0,ConstraintsSourceCommand:()=>f0,default:()=>odt});Ye();Ye();B2();var wC=class{constructor(e){this.project=e}createEnvironment(){let e=new CC(["cwd","ident"]),r=new CC(["workspace","type","ident"]),o=new CC(["ident"]),a={manifestUpdates:new Map,reportedErrors:new Map},n=new Map,u=new Map;for(let A of this.project.storedPackages.values()){let p=Array.from(A.peerDependencies.values(),h=>[W.stringifyIdent(h),h.range]);n.set(A.locatorHash,{workspace:null,ident:W.stringifyIdent(A),version:A.version,dependencies:new Map,peerDependencies:new Map(p.filter(([h])=>A.peerDependenciesMeta.get(h)?.optional!==!0)),optionalPeerDependencies:new Map(p.filter(([h])=>A.peerDependenciesMeta.get(h)?.optional===!0))})}for(let A of this.project.storedPackages.values()){let p=n.get(A.locatorHash);p.dependencies=new Map(Array.from(A.dependencies.values(),h=>{let E=this.project.storedResolutions.get(h.descriptorHash);if(typeof E>"u")throw new Error("Assertion failed: The resolution should have been registered");let I=n.get(E);if(typeof I>"u")throw new Error("Assertion failed: The package should have been registered");return[W.stringifyIdent(h),I]})),p.dependencies.delete(p.ident)}for(let A of this.project.workspaces){let p=W.stringifyIdent(A.anchoredLocator),h=A.manifest.exportTo({}),E=n.get(A.anchoredLocator.locatorHash);if(typeof E>"u")throw new Error("Assertion failed: The package should have been registered");let I=(T,L,{caller:U=Ji.getCaller()}={})=>{let J=I2(T),te=je.getMapWithDefault(a.manifestUpdates,A.cwd),le=je.getMapWithDefault(te,J),pe=je.getSetWithDefault(le,L);U!==null&&pe.add(U)},v=T=>I(T,void 0,{caller:Ji.getCaller()}),b=T=>{je.getArrayWithDefault(a.reportedErrors,A.cwd).push(T)},C=e.insert({cwd:A.relativeCwd,ident:p,manifest:h,pkg:E,set:I,unset:v,error:b});u.set(A,C);for(let T of Mt.allDependencies)for(let L of A.manifest[T].values()){let U=W.stringifyIdent(L),J=()=>{I([T,U],void 0,{caller:Ji.getCaller()})},te=pe=>{I([T,U],pe,{caller:Ji.getCaller()})},le=null;if(T!=="peerDependencies"&&(T!=="dependencies"||!A.manifest.devDependencies.has(L.identHash))){let pe=A.anchoredPackage.dependencies.get(L.identHash);if(pe){if(typeof pe>"u")throw new Error("Assertion failed: The dependency should have been registered");let Ae=this.project.storedResolutions.get(pe.descriptorHash);if(typeof Ae>"u")throw new Error("Assertion failed: The resolution should have been registered");let ye=n.get(Ae);if(typeof ye>"u")throw new Error("Assertion failed: The package should have been registered");le=ye}}r.insert({workspace:C,ident:U,range:L.range,type:T,resolution:le,update:te,delete:J,error:b})}}for(let A of this.project.storedPackages.values()){let p=this.project.tryWorkspaceByLocator(A);if(!p)continue;let h=u.get(p);if(typeof h>"u")throw new Error("Assertion failed: The workspace should have been registered");let E=n.get(A.locatorHash);if(typeof E>"u")throw new Error("Assertion failed: The package should have been registered");E.workspace=h}return{workspaces:e,dependencies:r,packages:o,result:a}}async process(){let e=this.createEnvironment(),r={Yarn:{workspace:a=>e.workspaces.find(a)[0]??null,workspaces:a=>e.workspaces.find(a),dependency:a=>e.dependencies.find(a)[0]??null,dependencies:a=>e.dependencies.find(a),package:a=>e.packages.find(a)[0]??null,packages:a=>e.packages.find(a)}},o=await this.project.loadUserConfig();return o?.constraints?(await o.constraints(r),e.result):null}};Ye();Ye();qt();var A0=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.query=ge.String()}async execute(){let{Constraints:r}=await Promise.resolve().then(()=>(x2(),S2)),o=await Ve.find(this.context.cwd,this.context.plugins),{project:a}=await St.find(o,this.context.cwd),n=await r.find(a),u=this.query;return u.endsWith(".")||(u=`${u}.`),(await Nt.start({configuration:o,json:this.json,stdout:this.context.stdout},async p=>{for await(let h of n.query(u)){let 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je.getFactoryWithDefault(r,o,()=>({packageLocation:o,packageDependencies:new Map,packagePeers:new Set,linkType:"SOFT",discardFromLookup:!1}))}};function aq(t,e){let r=K.relative(t,e);return r.match(/^\.{0,2}\//)||(r=`./${r}`),r.replace(/\/?$/,"/")}async function JIt(t){let e=await Mt.tryFind(t.prefixPath,{baseFs:t.packageFs})??new Mt,r=new Set(["preinstall","install","postinstall"]);for(let o of e.scripts.keys())r.has(o)||e.scripts.delete(o);return{manifest:{scripts:e.scripts,preferUnplugged:e.preferUnplugged,type:e.type},misc:{extractHint:sq(t),hasBindingGyp:oq(t)}}}Ye();Ye();qt();var n1e=$e(Zo());var x0=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Unplug direct dependencies from the entire project"});this.recursive=ge.Boolean("-R,--recursive",!1,{description:"Unplug both direct and transitive dependencies"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.patterns=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);if(r.get("nodeLinker")!=="pnp")throw new it("This command can only be used if the `nodeLinker` option is set to `pnp`");await o.restoreInstallState();let u=new Set(this.patterns),A=this.patterns.map(b=>{let C=W.parseDescriptor(b),T=C.range!=="unknown"?C:W.makeDescriptor(C,"*");if(!kr.validRange(T.range))throw new it(`The range of the descriptor patterns must be a valid semver range (${W.prettyDescriptor(r,T)})`);return L=>{let U=W.stringifyIdent(L);return!n1e.default.isMatch(U,W.stringifyIdent(T))||L.version&&!kr.satisfiesWithPrereleases(L.version,T.range)?!1:(u.delete(b),!0)}}),p=()=>{let b=[];for(let C of o.storedPackages.values())!o.tryWorkspaceByLocator(C)&&!W.isVirtualLocator(C)&&A.some(T=>T(C))&&b.push(C);return b},h=b=>{let C=new Set,T=[],L=(U,J)=>{if(C.has(U.locatorHash))return;let te=!!o.tryWorkspaceByLocator(U);if(!(J>0&&!this.recursive&&te)&&(C.add(U.locatorHash),!o.tryWorkspaceByLocator(U)&&A.some(le=>le(U))&&T.push(U),!(J>0&&!this.recursive)))for(let le of U.dependencies.values()){let pe=o.storedResolutions.get(le.descriptorHash);if(!pe)throw new Error("Assertion failed: The resolution should have been registered");let Ae=o.storedPackages.get(pe);if(!Ae)throw new Error("Assertion failed: The package should have been registered");L(Ae,J+1)}};for(let U of b)L(U.anchoredPackage,0);return T},E,I;if(this.all&&this.recursive?(E=p(),I="the project"):this.all?(E=h(o.workspaces),I="any workspace"):(E=h([a]),I="this workspace"),u.size>1)throw new it(`Patterns ${de.prettyList(r,u,de.Type.CODE)} don't match any packages referenced by ${I}`);if(u.size>0)throw new it(`Pattern ${de.prettyList(r,u,de.Type.CODE)} doesn't match any packages referenced by ${I}`);E=je.sortMap(E,b=>W.stringifyLocator(b));let v=await Nt.start({configuration:r,stdout:this.context.stdout,json:this.json},async b=>{for(let C of E){let T=C.version??"unknown",L=o.topLevelWorkspace.manifest.ensureDependencyMeta(W.makeDescriptor(C,T));L.unplugged=!0,b.reportInfo(0,`Will unpack ${W.prettyLocator(r,C)} to ${de.pretty(r,ov(C,{configuration:r}),de.Type.PATH)}`),b.reportJson({locator:W.stringifyLocator(C),version:T})}await o.topLevelWorkspace.persistManifest(),this.json||b.reportSeparator()});return v.hasErrors()?v.exitCode():await o.installWithNewReport({json:this.json,stdout:this.context.stdout},{cache:n})}};x0.paths=[["unplug"]],x0.usage=nt.Usage({description:"force the unpacking of a list of packages",details:"\n This command will add the selectors matching the specified patterns to the list of packages that must be unplugged when installed.\n\n A package being unplugged means that instead of being referenced directly through its archive, it will be unpacked at install time in the directory configured via `pnpUnpluggedFolder`. Note that unpacking packages this way is generally not recommended because it'll make it harder to store your packages within the repository. However, it's a good approach to quickly and safely debug some packages, and can even sometimes be required depending on the context (for example when the package contains shellscripts).\n\n Running the command will set a persistent flag inside your top-level `package.json`, in the `dependenciesMeta` field. As such, to undo its effects, you'll need to revert the changes made to the manifest and run `yarn install` to apply the modification.\n\n By default, only direct dependencies from the current workspace are affected. If `-A,--all` is set, direct dependencies from the entire project are affected. Using the `-R,--recursive` flag will affect transitive dependencies as well as direct ones.\n\n This command accepts glob patterns inside the scope and name components (not the range). Make sure to escape the patterns to prevent your own shell from trying to expand them.\n ",examples:[["Unplug the lodash dependency from the active workspace","yarn unplug lodash"],["Unplug all instances of lodash referenced by any workspace","yarn unplug lodash -A"],["Unplug all instances of lodash referenced by the active workspace and its dependencies","yarn unplug lodash -R"],["Unplug all instances of lodash, anywhere","yarn unplug lodash -AR"],["Unplug one specific version of lodash","yarn unplug lodash@1.2.3"],["Unplug all packages with the `@babel` scope","yarn unplug '@babel/*'"],["Unplug all packages (only for testing, not recommended)","yarn unplug -R '*'"]]});var S0=t=>({cjs:K.join(t.cwd,dr.pnpCjs),data:K.join(t.cwd,dr.pnpData),esmLoader:K.join(t.cwd,dr.pnpEsmLoader)}),s1e=t=>/\s/.test(t)?JSON.stringify(t):t;async function zIt(t,e,r){let o=/\s*--require\s+\S*\.pnp\.c?js\s*/g,a=/\s*--experimental-loader\s+\S*\.pnp\.loader\.mjs\s*/,n=(e.NODE_OPTIONS??"").replace(o," ").replace(a," ").trim();if(t.configuration.get("nodeLinker")!=="pnp"){e.NODE_OPTIONS=n;return}let u=S0(t),A=`--require ${s1e(ue.fromPortablePath(u.cjs))}`;oe.existsSync(u.esmLoader)&&(A=`${A} --experimental-loader ${(0,i1e.pathToFileURL)(ue.fromPortablePath(u.esmLoader)).href}`),oe.existsSync(u.cjs)&&(e.NODE_OPTIONS=n?`${A} ${n}`:A)}async function XIt(t,e){let r=S0(t);e(r.cjs),e(r.data),e(r.esmLoader),e(t.configuration.get("pnpUnpluggedFolder"))}var ZIt={hooks:{populateYarnPaths:XIt,setupScriptEnvironment:zIt},configuration:{nodeLinker:{description:'The linker used for installing Node packages, one of: "pnp", "pnpm", or "node-modules"',type:"STRING",default:"pnp"},winLinkType:{description:"Whether Yarn should use Windows Junctions or symlinks when creating links on Windows.",type:"STRING",values:["junctions","symlinks"],default:"junctions"},pnpMode:{description:"If 'strict', generates standard PnP maps. If 'loose', merges them with the n_m resolution.",type:"STRING",default:"strict"},pnpShebang:{description:"String to prepend to the generated PnP script",type:"STRING",default:"#!/usr/bin/env node"},pnpIgnorePatterns:{description:"Array of glob patterns; files matching them will use the classic resolution",type:"STRING",default:[],isArray:!0},pnpEnableEsmLoader:{description:"If true, Yarn will generate an ESM loader (`.pnp.loader.mjs`). If this is not explicitly set Yarn tries to automatically detect whether ESM support is required.",type:"BOOLEAN",default:!1},pnpEnableInlining:{description:"If true, the PnP data will be inlined along with the generated loader",type:"BOOLEAN",default:!0},pnpFallbackMode:{description:"If true, the generated PnP loader will follow the top-level fallback rule",type:"STRING",default:"dependencies-only"},pnpUnpluggedFolder:{description:"Folder where the unplugged packages must be stored",type:"ABSOLUTE_PATH",default:"./.yarn/unplugged"}},linkers:[P0],commands:[x0]},$It=ZIt;var p1e=$e(u1e());qt();var gq=$e(Be("crypto")),h1e=$e(Be("fs")),g1e=1,Pi="node_modules",DQ=".bin",d1e=".yarn-state.yml",d1t=1e3,dq=(o=>(o.CLASSIC="classic",o.HARDLINKS_LOCAL="hardlinks-local",o.HARDLINKS_GLOBAL="hardlinks-global",o))(dq||{}),lv=class{constructor(){this.installStateCache=new Map}getCustomDataKey(){return JSON.stringify({name:"NodeModulesLinker",version:3})}supportsPackage(e,r){return this.isEnabled(r)}async findPackageLocation(e,r){if(!this.isEnabled(r))throw new Error("Assertion failed: Expected the node-modules linker to be enabled");let o=r.project.tryWorkspaceByLocator(e);if(o)return o.cwd;let a=await je.getFactoryWithDefault(this.installStateCache,r.project.cwd,async()=>await hq(r.project,{unrollAliases:!0}));if(a===null)throw new it("Couldn't find the node_modules state file - running an install might help (findPackageLocation)");let n=a.locatorMap.get(W.stringifyLocator(e));if(!n){let p=new it(`Couldn't find ${W.prettyLocator(r.project.configuration,e)} in the currently installed node_modules map - running an install might help`);throw p.code="LOCATOR_NOT_INSTALLED",p}let u=n.locations.sort((p,h)=>p.split(K.sep).length-h.split(K.sep).length),A=K.join(r.project.configuration.startingCwd,Pi);return u.find(p=>K.contains(A,p))||n.locations[0]}async findPackageLocator(e,r){if(!this.isEnabled(r))return null;let o=await je.getFactoryWithDefault(this.installStateCache,r.project.cwd,async()=>await hq(r.project,{unrollAliases:!0}));if(o===null)return null;let{locationRoot:a,segments:n}=PQ(K.resolve(e),{skipPrefix:r.project.cwd}),u=o.locationTree.get(a);if(!u)return null;let A=u.locator;for(let p of n){if(u=u.children.get(p),!u)break;A=u.locator||A}return W.parseLocator(A)}makeInstaller(e){return new pq(e)}isEnabled(e){return e.project.configuration.get("nodeLinker")==="node-modules"}},pq=class{constructor(e){this.opts=e;this.localStore=new Map;this.realLocatorChecksums=new Map;this.customData={store:new Map}}attachCustomData(e){this.customData=e}async installPackage(e,r){let o=K.resolve(r.packageFs.getRealPath(),r.prefixPath),a=this.customData.store.get(e.locatorHash);if(typeof a>"u"&&(a=await m1t(e,r),e.linkType==="HARD"&&this.customData.store.set(e.locatorHash,a)),!W.isPackageCompatible(e,this.opts.project.configuration.getSupportedArchitectures()))return{packageLocation:null,buildRequest:null};let n=new Map,u=new Set;n.has(W.stringifyIdent(e))||n.set(W.stringifyIdent(e),e.reference);let A=e;if(W.isVirtualLocator(e)){A=W.devirtualizeLocator(e);for(let E of e.peerDependencies.values())n.set(W.stringifyIdent(E),null),u.add(W.stringifyIdent(E))}let p={packageLocation:`${ue.fromPortablePath(o)}/`,packageDependencies:n,packagePeers:u,linkType:e.linkType,discardFromLookup:r.discardFromLookup??!1};this.localStore.set(e.locatorHash,{pkg:e,customPackageData:a,dependencyMeta:this.opts.project.getDependencyMeta(e,e.version),pnpNode:p});let h=r.checksum?r.checksum.substring(r.checksum.indexOf("/")+1):null;return this.realLocatorChecksums.set(A.locatorHash,h),{packageLocation:o,buildRequest:null}}async attachInternalDependencies(e,r){let o=this.localStore.get(e.locatorHash);if(typeof o>"u")throw new Error("Assertion failed: Expected information object to have been registered");for(let[a,n]of r){let u=W.areIdentsEqual(a,n)?n.reference:[W.stringifyIdent(n),n.reference];o.pnpNode.packageDependencies.set(W.stringifyIdent(a),u)}}async attachExternalDependents(e,r){throw new Error("External dependencies haven't been implemented for the node-modules linker")}async finalizeInstall(){if(this.opts.project.configuration.get("nodeLinker")!=="node-modules")return;let e=new mi({baseFs:new Jl({maxOpenFiles:80,readOnlyArchives:!0})}),r=await hq(this.opts.project),o=this.opts.project.configuration.get("nmMode");(r===null||o!==r.nmMode)&&(this.opts.project.storedBuildState.clear(),r={locatorMap:new Map,binSymlinks:new Map,locationTree:new Map,nmMode:o,mtimeMs:0});let a=new Map(this.opts.project.workspaces.map(v=>{let b=this.opts.project.configuration.get("nmHoistingLimits");try{b=je.validateEnum(KB,v.manifest.installConfig?.hoistingLimits??b)}catch{let T=W.prettyWorkspace(this.opts.project.configuration,v);this.opts.report.reportWarning(57,`${T}: Invalid 'installConfig.hoistingLimits' value. 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oe.removePromise(h),await oe.changeFilePromise(h,n,{automaticNewlines:!0})}async function hq(t,{unrollAliases:e=!1}={}){let r=t.cwd,o=K.join(r,Pi,d1e),a;try{a=await oe.statPromise(o)}catch{}if(!a)return null;let n=Vi(await oe.readFilePromise(o,"utf8"));if(n.__metadata.version>g1e)return null;let u=n.__metadata.nmMode||"classic",A=new Map,p=new Map;delete n.__metadata;for(let[h,E]of Object.entries(n)){let I=E.locations.map(b=>K.join(r,b)),v=E.bin;if(v)for(let[b,C]of Object.entries(v)){let T=K.join(r,ue.toPortablePath(b)),L=je.getMapWithDefault(p,T);for(let[U,J]of Object.entries(C))L.set(U,ue.toPortablePath([T,Pi,J].join(K.sep)))}if(A.set(h,{target:Bt.dot,linkType:"HARD",locations:I,aliases:E.aliases||[]}),e&&E.aliases)for(let b of E.aliases){let{scope:C,name:T}=W.parseLocator(h),L=W.makeLocator(W.makeIdent(C,T),b),U=W.stringifyLocator(L);A.set(U,{target:Bt.dot,linkType:"HARD",locations:I,aliases:[]})}}return{locatorMap:A,binSymlinks:p,locationTree:m1e(A,{skipPrefix:t.cwd}),nmMode:u,mtimeMs:a.mtimeMs}}var YC=async(t,e)=>{if(t.split(K.sep).indexOf(Pi)<0)throw new Error(`Assertion failed: trying to remove dir that doesn't contain node_modules: ${t}`);try{if(!e.innerLoop){let o=e.allowSymlink?await oe.statPromise(t):await oe.lstatPromise(t);if(e.allowSymlink&&!o.isDirectory()||!e.allowSymlink&&o.isSymbolicLink()){await oe.unlinkPromise(t);return}}let r=await oe.readdirPromise(t,{withFileTypes:!0});for(let o of r){let a=K.join(t,o.name);o.isDirectory()?(o.name!==Pi||e&&e.innerLoop)&&await YC(a,{innerLoop:!0,contentsOnly:!1}):await oe.unlinkPromise(a)}e.contentsOnly||await oe.rmdirPromise(t)}catch(r){if(r.code!=="ENOENT"&&r.code!=="ENOTEMPTY")throw r}},A1e=4,PQ=(t,{skipPrefix:e})=>{let r=K.contains(e,t);if(r===null)throw new Error(`Assertion failed: Writing attempt prevented to ${t} which is outside project root: ${e}`);let o=r.split(K.sep).filter(p=>p!==""),a=o.indexOf(Pi),n=o.slice(0,a).join(K.sep),u=K.join(e,n),A=o.slice(a);return{locationRoot:u,segments:A}},m1e=(t,{skipPrefix:e})=>{let r=new Map;if(t===null)return r;let o=()=>({children:new Map,linkType:"HARD"});for(let[a,n]of t.entries()){if(n.linkType==="SOFT"&&K.contains(e,n.target)!==null){let A=je.getFactoryWithDefault(r,n.target,o);A.locator=a,A.linkType=n.linkType}for(let u of n.locations){let{locationRoot:A,segments:p}=PQ(u,{skipPrefix:e}),h=je.getFactoryWithDefault(r,A,o);for(let E=0;E<p.length;++E){let I=p[E];if(I!=="."){let v=je.getFactoryWithDefault(h.children,I,o);h.children.set(I,v),h=v}E===p.length-1&&(h.locator=a,h.linkType=n.linkType)}}}return r},mq=async(t,e,r)=>{if(process.platform==="win32"&&r==="junctions"){let o;try{o=await oe.lstatPromise(t)}catch{}if(!o||o.isDirectory()){await 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The `%s` and `%v` variables can be used within the path and will be respectively replaced by the package name and version.\n ",examples:[["Create an archive from the active workspace","yarn pack"],["List the files that would be made part of the workspace's archive","yarn pack --dry-run"],["Name and output the archive in a dedicated folder","yarn pack --out /artifacts/%s-%v.tgz"]]});function uvt(t,{workspace:e}){let r=t.replace("%s",Avt(e)).replace("%v",fvt(e));return ue.toPortablePath(r)}function Avt(t){return t.manifest.name!==null?W.slugifyIdent(t.manifest.name):"package"}function fvt(t){return t.manifest.version!==null?t.manifest.version:"unknown"}var pvt=["dependencies","devDependencies","peerDependencies"],hvt="workspace:",gvt=(t,e)=>{e.publishConfig&&(e.publishConfig.type&&(e.type=e.publishConfig.type),e.publishConfig.main&&(e.main=e.publishConfig.main),e.publishConfig.browser&&(e.browser=e.publishConfig.browser),e.publishConfig.module&&(e.module=e.publishConfig.module),e.publishConfig.exports&&(e.exports=e.publishConfig.exports),e.publishConfig.imports&&(e.imports=e.publishConfig.imports),e.publishConfig.bin&&(e.bin=e.publishConfig.bin));let r=t.project;for(let o of pvt)for(let a of t.manifest.getForScope(o).values()){let n=r.tryWorkspaceByDescriptor(a),u=W.parseRange(a.range);if(u.protocol===hvt)if(n===null){if(r.tryWorkspaceByIdent(a)===null)throw new zt(21,`${W.prettyDescriptor(r.configuration,a)}: No local workspace found for this range`)}else{let A;W.areDescriptorsEqual(a,n.anchoredDescriptor)||u.selector==="*"?A=n.manifest.version??"0.0.0":u.selector==="~"||u.selector==="^"?A=`${u.selector}${n.manifest.version??"0.0.0"}`:A=u.selector;let p=o==="dependencies"?W.makeDescriptor(a,"unknown"):null,h=p!==null&&t.manifest.ensureDependencyMeta(p).optional?"optionalDependencies":o;e[h][W.stringifyIdent(a)]=A}}},dvt={hooks:{beforeWorkspacePacking:gvt},commands:[O0]},mvt=dvt;var yBe=Be("crypto"),EBe=$e(mBe()),CBe=Be("url");async function Nvt(t,e,{access:r,tag:o,registry:a,gitHead:n}){let u=t.manifest.name,A=t.manifest.version,p=W.stringifyIdent(u),h=(0,yBe.createHash)("sha1").update(e).digest("hex"),E=EBe.default.fromData(e).toString(),I=r??wBe(t,u),v=await IBe(t),b=await CA.genPackageManifest(t),C=`${p}-${A}.tgz`,T=new CBe.URL(`${oc(a)}/${p}/-/${C}`);return{_id:p,_attachments:{[C]:{content_type:"application/octet-stream",data:e.toString("base64"),length:e.length}},name:p,access:I,["dist-tags"]:{[o]:A},versions:{[A]:{...b,_id:`${p}@${A}`,name:p,version:A,gitHead:n,dist:{shasum:h,integrity:E,tarball:T.toString()}}},readme:v}}async function Lvt(t){try{let{stdout:e}=await Ur.execvp("git",["rev-parse","--revs-only","HEAD"],{cwd:t});return e.trim()===""?void 0:e.trim()}catch{return}}function wBe(t,e){let r=t.project.configuration;return t.manifest.publishConfig&&typeof t.manifest.publishConfig.access=="string"?t.manifest.publishConfig.access:r.get("npmPublishAccess")!==null?r.get("npmPublishAccess"):e.scope?"restricted":"public"}async function IBe(t){let e=ue.toPortablePath(`${t.cwd}/README.md`),r=t.manifest.name,a=`# ${W.stringifyIdent(r)} -`;try{a=await oe.readFilePromise(e,"utf8")}catch(n){if(n.code==="ENOENT")return a;throw n}return a}var yG={npmAlwaysAuth:{description:"URL of the selected npm registry 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registry",type:"MAP",normalizeKeys:oc,valueDefinition:{description:"",type:"SHAPE",properties:{...yG}}}},fetchers:[fv,dl],resolvers:[pv,hv,gv]},Ovt=Mvt;var xG={};Kt(xG,{NpmAuditCommand:()=>_0,NpmInfoCommand:()=>H0,NpmLoginCommand:()=>j0,NpmLogoutCommand:()=>q0,NpmPublishCommand:()=>G0,NpmTagAddCommand:()=>W0,NpmTagListCommand:()=>Y0,NpmTagRemoveCommand:()=>V0,NpmWhoamiCommand:()=>K0,default:()=>Gvt,npmAuditTypes:()=>Tv,npmAuditUtils:()=>eF});Ye();Ye();qt();var vG=$e(Zo());Za();var Tv={};Kt(Tv,{Environment:()=>Qv,Severity:()=>Fv});var Qv=(o=>(o.All="all",o.Production="production",o.Development="development",o))(Qv||{}),Fv=(n=>(n.Info="info",n.Low="low",n.Moderate="moderate",n.High="high",n.Critical="critical",n))(Fv||{});var eF={};Kt(eF,{allSeverities:()=>ow,getPackages:()=>BG,getReportTree:()=>wG,getSeverityInclusions:()=>CG,getTopLevelDependencies:()=>IG});Ye();var vBe=$e(zn());var ow=["info","low","moderate","high","critical"];function CG(t){if(typeof t>"u")return new Set(ow);let e=ow.indexOf(t),r=ow.slice(e);return new Set(r)}function wG(t){let e={},r={children:e};for(let[o,a]of je.sortMap(Object.entries(t),n=>n[0]))for(let n of je.sortMap(a,u=>`${u.id}`))e[`${o}/${n.id}`]={value:de.tuple(de.Type.IDENT,W.parseIdent(o)),children:{ID:typeof n.id<"u"&&{label:"ID",value:de.tuple(de.Type.ID,n.id)},Issue:{label:"Issue",value:de.tuple(de.Type.NO_HINT,n.title)},URL:typeof n.url<"u"&&{label:"URL",value:de.tuple(de.Type.URL,n.url)},Severity:{label:"Severity",value:de.tuple(de.Type.NO_HINT,n.severity)},["Vulnerable Versions"]:{label:"Vulnerable Versions",value:de.tuple(de.Type.RANGE,n.vulnerable_versions)},["Tree Versions"]:{label:"Tree Versions",children:[...n.versions].sort(vBe.default.compare).map(u=>({value:de.tuple(de.Type.REFERENCE,u)}))},Dependents:{label:"Dependents",children:je.sortMap(n.dependents,u=>W.stringifyLocator(u)).map(u=>({value:de.tuple(de.Type.LOCATOR,u)}))}}};return r}function IG(t,e,{all:r,environment:o}){let a=[],n=r?t.workspaces:[e],u=["all","production"].includes(o),A=["all","development"].includes(o);for(let p of n)for(let h of p.anchoredPackage.dependencies.values())(p.manifest.devDependencies.has(h.identHash)?!A:!u)||a.push({workspace:p,dependency:h});return a}function BG(t,e,{recursive:r}){let o=new Map,a=new Set,n=[],u=(A,p)=>{let h=t.storedResolutions.get(p.descriptorHash);if(typeof h>"u")throw new Error("Assertion failed: The resolution should have been registered");if(!a.has(h))a.add(h);else return;let E=t.storedPackages.get(h);if(typeof E>"u")throw new Error("Assertion failed: The package should have been registered");if(W.ensureDevirtualizedLocator(E).reference.startsWith("npm:")&&E.version!==null){let v=W.stringifyIdent(E),b=je.getMapWithDefault(o,v);je.getArrayWithDefault(b,E.version).push(A)}if(r)for(let v of E.dependencies.values())n.push([E,v])};for(let{workspace:A,dependency:p}of e)n.push([A.anchoredLocator,p]);for(;n.length>0;){let[A,p]=n.shift();u(A,p)}return o}var _0=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Audit dependencies from all workspaces"});this.recursive=ge.Boolean("-R,--recursive",!1,{description:"Audit transitive dependencies as well"});this.environment=ge.String("--environment","all",{description:"Which environments to cover",validator:Vs(Qv)});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.noDeprecations=ge.Boolean("--no-deprecations",!1,{description:"Don't warn about deprecated packages"});this.severity=ge.String("--severity","info",{description:"Minimal severity requested for packages to be displayed",validator:Vs(Fv)});this.excludes=ge.Array("--exclude",[],{description:"Array of glob patterns of packages to exclude from audit"});this.ignores=ge.Array("--ignore",[],{description:"Array of glob patterns of advisory ID's to ignore in the audit report"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState();let n=IG(o,a,{all:this.all,environment:this.environment}),u=BG(o,n,{recursive:this.recursive}),A=Array.from(new Set([...r.get("npmAuditExcludePackages"),...this.excludes])),p=Object.create(null);for(let[L,U]of u)A.some(J=>vG.default.isMatch(L,J))||(p[L]=[...U.keys()]);let h=Zn.getAuditRegistry({configuration:r}),E,I=await AA.start({configuration:r,stdout:this.context.stdout},async()=>{let L=on.post("/-/npm/v1/security/advisories/bulk",p,{authType:on.AuthType.BEST_EFFORT,configuration:r,jsonResponse:!0,registry:h}),U=this.noDeprecations?[]:await Promise.all(Array.from(Object.entries(p),async([te,le])=>{let pe=await on.getPackageMetadata(W.parseIdent(te),{project:o});return je.mapAndFilter(le,Ae=>{let{deprecated:ye}=pe.versions[Ae];return ye?[te,Ae,ye]:je.mapAndFilter.skip})})),J=await L;for(let[te,le,pe]of U.flat(1))Object.hasOwn(J,te)&&J[te].some(Ae=>kr.satisfiesWithPrereleases(le,Ae.vulnerable_versions))||(J[te]??=[],J[te].push({id:`${te} (deprecation)`,title:pe.trim()||"This package has been deprecated.",severity:"moderate",vulnerable_versions:le}));E=J});if(I.hasErrors())return I.exitCode();let v=CG(this.severity),b=Array.from(new Set([...r.get("npmAuditIgnoreAdvisories"),...this.ignores])),C=Object.create(null);for(let[L,U]of Object.entries(E)){let J=U.filter(te=>!vG.default.isMatch(`${te.id}`,b)&&v.has(te.severity));J.length>0&&(C[L]=J.map(te=>{let le=u.get(L);if(typeof le>"u")throw new Error("Assertion failed: Expected the registry to only return packages that were requested");let pe=[...le.keys()].filter(ye=>kr.satisfiesWithPrereleases(ye,te.vulnerable_versions)),Ae=new Map;for(let ye of pe)for(let ae of le.get(ye))Ae.set(ae.locatorHash,ae);return{...te,versions:pe,dependents:[...Ae.values()]}}))}let T=Object.keys(C).length>0;return T?($s.emitTree(wG(C),{configuration:r,json:this.json,stdout:this.context.stdout,separators:2}),1):(await Nt.start({configuration:r,includeFooter:!1,json:this.json,stdout:this.context.stdout},async L=>{L.reportInfo(1,"No audit suggestions")}),T?1:0)}};_0.paths=[["npm","audit"]],_0.usage=nt.Usage({description:"perform a vulnerability audit against the installed packages",details:` - This command checks for known security reports on the packages you use. The reports are by default extracted from the npm registry, and may or may not be relevant to your actual program (not all vulnerabilities affect all code paths). - - For consistency with our other commands the default is to only check the direct dependencies for the active workspace. To extend this search to all workspaces, use \`-A,--all\`. To extend this search to both direct and transitive dependencies, use \`-R,--recursive\`. - - Applying the \`--severity\` flag will limit the audit table to vulnerabilities of the corresponding severity and above. Valid values are ${ow.map(r=>`\`${r}\``).join(", ")}. - - If the \`--json\` flag is set, Yarn will print the output exactly as received from the registry. Regardless of this flag, the process will exit with a non-zero exit code if a report is found for the selected packages. - - If certain packages produce false positives for a particular environment, the \`--exclude\` flag can be used to exclude any number of packages from the audit. This can also be set in the configuration file with the \`npmAuditExcludePackages\` option. - - If particular advisories are needed to be ignored, the \`--ignore\` flag can be used with Advisory ID's to ignore any number of advisories in the audit report. This can also be set in the configuration file with the \`npmAuditIgnoreAdvisories\` option. - - To understand the dependency tree requiring vulnerable packages, check the raw report with the \`--json\` flag or use \`yarn why package\` to get more information as to who depends on them. - `,examples:[["Checks for known security issues with the installed packages. The output is a list of known issues.","yarn npm audit"],["Audit dependencies in all workspaces","yarn npm audit --all"],["Limit auditing to `dependencies` (excludes `devDependencies`)","yarn npm audit --environment production"],["Show audit report as valid JSON","yarn npm audit --json"],["Audit all direct and transitive dependencies","yarn npm audit --recursive"],["Output moderate (or more severe) vulnerabilities","yarn npm audit --severity moderate"],["Exclude certain packages","yarn npm audit --exclude package1 --exclude package2"],["Ignore specific advisories","yarn npm audit --ignore 1234567 --ignore 7654321"]]});Ye();Ye();Pt();qt();var DG=$e(zn()),PG=Be("util"),H0=class extends ut{constructor(){super(...arguments);this.fields=ge.String("-f,--fields",{description:"A comma-separated list of manifest fields that should be displayed"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.packages=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd),a=typeof this.fields<"u"?new Set(["name",...this.fields.split(/\s*,\s*/)]):null,n=[],u=!1,A=await Nt.start({configuration:r,includeFooter:!1,json:this.json,stdout:this.context.stdout},async p=>{for(let h of this.packages){let E;if(h==="."){let le=o.topLevelWorkspace;if(!le.manifest.name)throw new it(`Missing ${de.pretty(r,"name",de.Type.CODE)} field in ${ue.fromPortablePath(K.join(le.cwd,dr.manifest))}`);E=W.makeDescriptor(le.manifest.name,"unknown")}else E=W.parseDescriptor(h);let I=on.getIdentUrl(E),v=SG(await on.get(I,{configuration:r,ident:E,jsonResponse:!0,customErrorMessage:on.customPackageError})),b=Object.keys(v.versions).sort(DG.default.compareLoose),T=v["dist-tags"].latest||b[b.length-1],L=kr.validRange(E.range);if(L){let le=DG.default.maxSatisfying(b,L);le!==null?T=le:(p.reportWarning(0,`Unmet range ${W.prettyRange(r,E.range)}; falling back to the latest version`),u=!0)}else Object.hasOwn(v["dist-tags"],E.range)?T=v["dist-tags"][E.range]:E.range!=="unknown"&&(p.reportWarning(0,`Unknown tag ${W.prettyRange(r,E.range)}; falling back to the latest version`),u=!0);let U=v.versions[T],J={...v,...U,version:T,versions:b},te;if(a!==null){te={};for(let le of a){let pe=J[le];if(typeof pe<"u")te[le]=pe;else{p.reportWarning(1,`The ${de.pretty(r,le,de.Type.CODE)} field doesn't exist inside ${W.prettyIdent(r,E)}'s information`),u=!0;continue}}}else this.json||(delete J.dist,delete J.readme,delete J.users),te=J;p.reportJson(te),this.json||n.push(te)}});PG.inspect.styles.name="cyan";for(let p of n)(p!==n[0]||u)&&this.context.stdout.write(` -`),this.context.stdout.write(`${(0,PG.inspect)(p,{depth:1/0,colors:!0,compact:!1})} -`);return A.exitCode()}};H0.paths=[["npm","info"]],H0.usage=nt.Usage({category:"Npm-related commands",description:"show information about a package",details:"\n This command fetches information about a package from the npm registry and prints it in a tree format.\n\n The package does not have to be installed locally, but needs to have been published (in particular, local changes will be ignored even for workspaces).\n\n Append `@<range>` to the package argument to provide information specific to the latest version that satisfies the range or to the corresponding tagged version. If the range is invalid or if there is no version satisfying the range, the command will print a warning and fall back to the latest version.\n\n If the `-f,--fields` option is set, it's a comma-separated list of fields which will be used to only display part of the package information.\n\n By default, this command won't return the `dist`, `readme`, and `users` fields, since they are often very long. To explicitly request those fields, explicitly list them with the `--fields` flag or request the output in JSON mode.\n ",examples:[["Show all available information about react (except the `dist`, `readme`, and `users` fields)","yarn npm info react"],["Show all available information about react as valid JSON (including the `dist`, `readme`, and `users` fields)","yarn npm info react --json"],["Show all available information about react@16.12.0","yarn npm info react@16.12.0"],["Show all available information about react@next","yarn npm info react@next"],["Show the description of react","yarn npm info react --fields description"],["Show all available versions of react","yarn npm info react --fields versions"],["Show the readme of react","yarn npm info react --fields readme"],["Show a few fields of react","yarn npm info react --fields homepage,repository"]]});function SG(t){if(Array.isArray(t)){let e=[];for(let r of t)r=SG(r),r&&e.push(r);return e}else if(typeof t=="object"&&t!==null){let e={};for(let r of Object.keys(t)){if(r.startsWith("_"))continue;let o=SG(t[r]);o&&(e[r]=o)}return e}else return t||null}Ye();Ye();qt();var DBe=$e(A2()),j0=class extends ut{constructor(){super(...arguments);this.scope=ge.String("-s,--scope",{description:"Login to the registry configured for a given scope"});this.publish=ge.Boolean("--publish",!1,{description:"Login to the publish registry"});this.alwaysAuth=ge.Boolean("--always-auth",{description:"Set the npmAlwaysAuth configuration"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=await tF({configuration:r,cwd:this.context.cwd,publish:this.publish,scope:this.scope});return(await Nt.start({configuration:r,stdout:this.context.stdout,includeFooter:!1},async n=>{let u=await _vt({configuration:r,registry:o,report:n,stdin:this.context.stdin,stdout:this.context.stdout}),A=`/-/user/org.couchdb.user:${encodeURIComponent(u.name)}`,p=await on.put(A,u,{attemptedAs:u.name,configuration:r,registry:o,jsonResponse:!0,authType:on.AuthType.NO_AUTH});return await Uvt(o,p.token,{alwaysAuth:this.alwaysAuth,scope:this.scope}),n.reportInfo(0,"Successfully logged in")})).exitCode()}};j0.paths=[["npm","login"]],j0.usage=nt.Usage({category:"Npm-related commands",description:"store new login info to access the npm registry",details:"\n This command will ask you for your username, password, and 2FA One-Time-Password (when it applies). It will then modify your local configuration (in your home folder, never in the project itself) to reference the new tokens thus generated.\n\n Adding the `-s,--scope` flag will cause the authentication to be done against whatever registry is configured for the associated scope (see also `npmScopes`).\n\n Adding the `--publish` flag will cause the authentication to be done against the registry used when publishing the package (see also `publishConfig.registry` and `npmPublishRegistry`).\n ",examples:[["Login to the default registry","yarn npm login"],["Login to the registry linked to the @my-scope registry","yarn npm login --scope my-scope"],["Login to the publish registry for the current package","yarn npm login --publish"]]});async function tF({scope:t,publish:e,configuration:r,cwd:o}){return t&&e?Zn.getScopeRegistry(t,{configuration:r,type:Zn.RegistryType.PUBLISH_REGISTRY}):t?Zn.getScopeRegistry(t,{configuration:r}):e?Zn.getPublishRegistry((await AC(r,o)).manifest,{configuration:r}):Zn.getDefaultRegistry({configuration:r})}async function Uvt(t,e,{alwaysAuth:r,scope:o}){let a=u=>A=>{let p=je.isIndexableObject(A)?A:{},h=p[u],E=je.isIndexableObject(h)?h:{};return{...p,[u]:{...E,...r!==void 0?{npmAlwaysAuth:r}:{},npmAuthToken:e}}},n=o?{npmScopes:a(o)}:{npmRegistries:a(t)};return await Ve.updateHomeConfiguration(n)}async function _vt({configuration:t,registry:e,report:r,stdin:o,stdout:a}){r.reportInfo(0,`Logging in to ${de.pretty(t,e,de.Type.URL)}`);let n=!1;if(e.match(/^https:\/\/npm\.pkg\.github\.com(\/|$)/)&&(r.reportInfo(0,"You seem to be using the GitHub Package Registry. Tokens must be generated with the 'repo', 'write:packages', and 'read:packages' permissions."),n=!0),r.reportSeparator(),t.env.YARN_IS_TEST_ENV)return{name:t.env.YARN_INJECT_NPM_USER||"",password:t.env.YARN_INJECT_NPM_PASSWORD||""};let{username:u,password:A}=await(0,DBe.prompt)([{type:"input",name:"username",message:"Username:",required:!0,onCancel:()=>process.exit(130),stdin:o,stdout:a},{type:"password",name:"password",message:n?"Token:":"Password:",required:!0,onCancel:()=>process.exit(130),stdin:o,stdout:a}]);return r.reportSeparator(),{name:u,password:A}}Ye();Ye();qt();var aw=new Set(["npmAuthIdent","npmAuthToken"]),q0=class extends ut{constructor(){super(...arguments);this.scope=ge.String("-s,--scope",{description:"Logout of the registry configured for a given scope"});this.publish=ge.Boolean("--publish",!1,{description:"Logout of the publish registry"});this.all=ge.Boolean("-A,--all",!1,{description:"Logout of all registries"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=async()=>{let n=await tF({configuration:r,cwd:this.context.cwd,publish:this.publish,scope:this.scope}),u=await Ve.find(this.context.cwd,this.context.plugins),A=W.makeIdent(this.scope??null,"pkg");return!Zn.getAuthConfiguration(n,{configuration:u,ident:A}).get("npmAuthToken")};return(await Nt.start({configuration:r,stdout:this.context.stdout},async n=>{if(this.all&&(await jvt(),n.reportInfo(0,"Successfully logged out from everything")),this.scope){await PBe("npmScopes",this.scope),await o()?n.reportInfo(0,`Successfully logged out from ${this.scope}`):n.reportWarning(0,"Scope authentication settings removed, but some other ones settings still apply to it");return}let u=await tF({configuration:r,cwd:this.context.cwd,publish:this.publish});await PBe("npmRegistries",u),await o()?n.reportInfo(0,`Successfully logged out from ${u}`):n.reportWarning(0,"Registry authentication settings removed, but some other ones settings still apply to it")})).exitCode()}};q0.paths=[["npm","logout"]],q0.usage=nt.Usage({category:"Npm-related commands",description:"logout of the npm registry",details:"\n This command will log you out by modifying your local configuration (in your home folder, never in the project itself) to delete all credentials linked to a registry.\n\n Adding the `-s,--scope` flag will cause the deletion to be done against whatever registry is configured for the associated scope (see also `npmScopes`).\n\n Adding the `--publish` flag will cause the deletion to be done against the registry used when publishing the package (see also `publishConfig.registry` and `npmPublishRegistry`).\n\n Adding the `-A,--all` flag will cause the deletion to be done against all registries and scopes.\n ",examples:[["Logout of the default registry","yarn npm logout"],["Logout of the @my-scope scope","yarn npm logout --scope my-scope"],["Logout of the publish registry for the current package","yarn npm logout --publish"],["Logout of all registries","yarn npm logout --all"]]});function Hvt(t,e){let r=t[e];if(!je.isIndexableObject(r))return!1;let o=new Set(Object.keys(r));if([...aw].every(n=>!o.has(n)))return!1;for(let n of aw)o.delete(n);if(o.size===0)return t[e]=void 0,!0;let a={...r};for(let n of aw)delete a[n];return t[e]=a,!0}async function jvt(){let t=e=>{let r=!1,o=je.isIndexableObject(e)?{...e}:{};o.npmAuthToken&&(delete o.npmAuthToken,r=!0);for(let a of Object.keys(o))Hvt(o,a)&&(r=!0);if(Object.keys(o).length!==0)return r?o:e};return await Ve.updateHomeConfiguration({npmRegistries:t,npmScopes:t})}async function PBe(t,e){return await Ve.updateHomeConfiguration({[t]:r=>{let o=je.isIndexableObject(r)?r:{};if(!Object.hasOwn(o,e))return r;let a=o[e],n=je.isIndexableObject(a)?a:{},u=new Set(Object.keys(n));if([...aw].every(p=>!u.has(p)))return r;for(let p of aw)u.delete(p);if(u.size===0)return Object.keys(o).length===1?void 0:{...o,[e]:void 0};let A={};for(let p of aw)A[p]=void 0;return{...o,[e]:{...n,...A}}}})}Ye();qt();var G0=class extends ut{constructor(){super(...arguments);this.access=ge.String("--access",{description:"The access for the published package (public or restricted)"});this.tag=ge.String("--tag","latest",{description:"The tag on the registry that the package should be attached to"});this.tolerateRepublish=ge.Boolean("--tolerate-republish",!1,{description:"Warn and exit when republishing an already existing version of a package"});this.otp=ge.String("--otp",{description:"The OTP token to use with the command"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);if(a.manifest.private)throw new it("Private workspaces cannot be published");if(a.manifest.name===null||a.manifest.version===null)throw new it("Workspaces must have valid names and versions to be published on an external registry");await o.restoreInstallState();let n=a.manifest.name,u=a.manifest.version,A=Zn.getPublishRegistry(a.manifest,{configuration:r});return(await Nt.start({configuration:r,stdout:this.context.stdout},async h=>{if(this.tolerateRepublish)try{let E=await on.get(on.getIdentUrl(n),{configuration:r,registry:A,ident:n,jsonResponse:!0});if(!Object.hasOwn(E,"versions"))throw new zt(15,'Registry returned invalid data for - missing "versions" field');if(Object.hasOwn(E.versions,u)){h.reportWarning(0,`Registry already knows about version ${u}; skipping.`);return}}catch(E){if(E.originalError?.response?.statusCode!==404)throw E}await un.maybeExecuteWorkspaceLifecycleScript(a,"prepublish",{report:h}),await CA.prepareForPack(a,{report:h},async()=>{let E=await CA.genPackList(a);for(let T of E)h.reportInfo(null,T);let I=await CA.genPackStream(a,E),v=await je.bufferStream(I),b=await sw.getGitHead(a.cwd),C=await sw.makePublishBody(a,v,{access:this.access,tag:this.tag,registry:A,gitHead:b});await on.put(on.getIdentUrl(n),C,{configuration:r,registry:A,ident:n,otp:this.otp,jsonResponse:!0})}),h.reportInfo(0,"Package archive published")})).exitCode()}};G0.paths=[["npm","publish"]],G0.usage=nt.Usage({category:"Npm-related commands",description:"publish the active workspace to the npm registry",details:'\n This command will pack the active workspace into a fresh archive and upload it to the npm registry.\n\n The package will by default be attached to the `latest` tag on the registry, but this behavior can be overriden by using the `--tag` option.\n\n Note that for legacy reasons scoped packages are by default published with an access set to `restricted` (aka "private packages"). 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Map([["%n",{extract:t=>t.length>=1?[t[0],t.slice(1)]:null,generate:(t=0)=>`${t+1}`}]]);function XBe(t,{current:e,prerelease:r}){let o=new BA.default.SemVer(e),a=o.prerelease.slice(),n=[];o.prerelease=[],o.format()!==t&&(a.length=0);let u=!0,A=r.split(/\./g);for(let p of A){let h=JDt.get(p);if(typeof h>"u")n.push(p),a[0]===p?a.shift():u=!1;else{let E=u?h.extract(a):null;E!==null&&typeof E[0]=="number"?(n.push(h.generate(E[0])),a=E[1]):(n.push(h.generate()),u=!1)}}return o.prerelease&&(o.prerelease=[]),`${t}-${n.join(".")}`}var $0=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("--all",!1,{description:"Apply the deferred version changes on all workspaces"});this.dryRun=ge.Boolean("--dry-run",!1,{description:"Print the versions without actually generating the package archive"});this.prerelease=ge.String("--prerelease",{description:"Add a prerelease identifier to new versions",tolerateBoolean:!0});this.recursive=ge.Boolean("-R,--recursive",{description:"Release the 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Did you want to add --all?":"";A.reportWarning(0,`The current workspace doesn't seem to require a version bump.${I}`);return}zG(o,E,{report:A}),this.dryRun||(p||(this.all?await VG(o):await KG(o,[...E.keys()])),A.reportSeparator())});return u.hasErrors()?u.exitCode():await o.installWithNewReport({json:this.json,stdout:this.context.stdout},{cache:n})}};$0.paths=[["version","apply"]],$0.usage=nt.Usage({category:"Release-related commands",description:"apply all the deferred version bumps at once",details:` - This command will apply the deferred version changes and remove their definitions from the repository. - - Note that if \`--prerelease\` is set, the given prerelease identifier (by default \`rc.%d\`) will be used on all new versions and the version definitions will be kept as-is. - - By default only the current workspace will be bumped, but you can configure this behavior by using one of: - - - \`--recursive\` to also apply the version bump on its dependencies - - \`--all\` to apply the version bump on all packages in the repository - - Note that this command will also update the \`workspace:\` references across all your local workspaces, thus ensuring that they keep referring to the same workspaces even after the version bump. - `,examples:[["Apply the version change to the local workspace","yarn version apply"],["Apply the version change to all the workspaces in the local workspace","yarn version apply --all"]]});Ye();Pt();qt();var AF=$e(zn());var eg=class extends ut{constructor(){super(...arguments);this.interactive=ge.Boolean("-i,--interactive",{description:"Open an interactive interface used to set version bumps"})}async execute(){return this.interactive?await this.executeInteractive():await this.executeStandard()}async executeInteractive(){SC(this.context);let{Gem:r}=await Promise.resolve().then(()=>(AQ(),Dj)),{ScrollableItems:o}=await Promise.resolve().then(()=>(gQ(),hQ)),{FocusRequest:a}=await Promise.resolve().then(()=>(Sj(),Xwe)),{useListInput:n}=await Promise.resolve().then(()=>(pQ(),Zwe)),{renderForm:u}=await Promise.resolve().then(()=>(EQ(),yQ)),{Box:A,Text:p}=await Promise.resolve().then(()=>$e(ic())),{default:h,useCallback:E,useState:I}=await Promise.resolve().then(()=>$e(sn())),v=await Ve.find(this.context.cwd,this.context.plugins),{project:b,workspace:C}=await St.find(v,this.context.cwd);if(!C)throw new rr(b.cwd,this.context.cwd);await b.restoreInstallState();let T=await hw(b);if(T===null||T.releaseRoots.size===0)return 0;if(T.root===null)throw new it("This command can only be run on Git repositories");let L=()=>h.createElement(A,{flexDirection:"row",paddingBottom:1},h.createElement(A,{flexDirection:"column",width:60},h.createElement(A,null,h.createElement(p,null,"Press ",h.createElement(p,{bold:!0,color:"cyanBright"},"<up>"),"/",h.createElement(p,{bold:!0,color:"cyanBright"},"<down>")," to select workspaces.")),h.createElement(A,null,h.createElement(p,null,"Press ",h.createElement(p,{bold:!0,color:"cyanBright"},"<left>"),"/",h.createElement(p,{bold:!0,color:"cyanBright"},"<right>")," to select release strategies."))),h.createElement(A,{flexDirection:"column"},h.createElement(A,{marginLeft:1},h.createElement(p,null,"Press ",h.createElement(p,{bold:!0,color:"cyanBright"},"<enter>")," to save.")),h.createElement(A,{marginLeft:1},h.createElement(p,null,"Press ",h.createElement(p,{bold:!0,color:"cyanBright"},"<ctrl+c>")," to abort.")))),U=({workspace:ye,active:ae,decision:we,setDecision:Pe})=>{let g=ye.manifest.raw.stableVersion??ye.manifest.version;if(g===null)throw new Error(`Assertion failed: The version should have been set (${W.prettyLocator(v,ye.anchoredLocator)})`);if(AF.default.prerelease(g)!==null)throw new Error(`Assertion failed: Prerelease identifiers shouldn't be found (${g})`);let Ee=["undecided","decline","patch","minor","major"];n(we,Ee,{active:ae,minus:"left",plus:"right",set:Pe});let De=we==="undecided"?h.createElement(p,{color:"yellow"},g):we==="decline"?h.createElement(p,{color:"green"},g):h.createElement(p,null,h.createElement(p,{color:"magenta"},g)," \u2192 ",h.createElement(p,{color:"green"},AF.default.valid(we)?we:AF.default.inc(g,we)));return h.createElement(A,{flexDirection:"column"},h.createElement(A,null,h.createElement(p,null,W.prettyLocator(v,ye.anchoredLocator)," - ",De)),h.createElement(A,null,Ee.map(ce=>h.createElement(A,{key:ce,paddingLeft:2},h.createElement(p,null,h.createElement(r,{active:ce===we})," ",ce)))))},J=ye=>{let ae=new Set(T.releaseRoots),we=new Map([...ye].filter(([Pe])=>ae.has(Pe)));for(;;){let Pe=qv({project:T.project,releases:we}),g=!1;if(Pe.length>0){for(let[Ee]of Pe)if(!ae.has(Ee)){ae.add(Ee),g=!0;let De=ye.get(Ee);typeof De<"u"&&we.set(Ee,De)}}if(!g)break}return{relevantWorkspaces:ae,relevantReleases:we}},te=()=>{let[ye,ae]=I(()=>new Map(T.releases)),we=E((Pe,g)=>{let Ee=new Map(ye);g!=="undecided"?Ee.set(Pe,g):Ee.delete(Pe);let{relevantReleases:De}=J(Ee);ae(De)},[ye,ae]);return[ye,we]},le=({workspaces:ye,releases:ae})=>{let we=[];we.push(`${ye.size} total`);let Pe=0,g=0;for(let Ee of ye){let De=ae.get(Ee);typeof De>"u"?g+=1:De!=="decline"&&(Pe+=1)}return we.push(`${Pe} release${Pe===1?"":"s"}`),we.push(`${g} remaining`),h.createElement(p,{color:"yellow"},we.join(", "))},Ae=await u(({useSubmit:ye})=>{let[ae,we]=te();ye(ae);let{relevantWorkspaces:Pe}=J(ae),g=new Set([...Pe].filter(ne=>!T.releaseRoots.has(ne))),[Ee,De]=I(0),ce=E(ne=>{switch(ne){case a.BEFORE:De(Ee-1);break;case a.AFTER:De(Ee+1);break}},[Ee,De]);return h.createElement(A,{flexDirection:"column"},h.createElement(L,null),h.createElement(A,null,h.createElement(p,{wrap:"wrap"},"The following files have been modified in your local checkout.")),h.createElement(A,{flexDirection:"column",marginTop:1,paddingLeft:2},[...T.changedFiles].map(ne=>h.createElement(A,{key:ne},h.createElement(p,null,h.createElement(p,{color:"grey"},ue.fromPortablePath(T.root)),ue.sep,ue.relative(ue.fromPortablePath(T.root),ue.fromPortablePath(ne)))))),T.releaseRoots.size>0&&h.createElement(h.Fragment,null,h.createElement(A,{marginTop:1},h.createElement(p,{wrap:"wrap"},"Because of those files having been modified, the following workspaces may need to be released again (note that private workspaces are also shown here, because even though they won't be published, releasing them will allow us to flag their dependents for potential re-release):")),g.size>3?h.createElement(A,{marginTop:1},h.createElement(le,{workspaces:T.releaseRoots,releases:ae})):null,h.createElement(A,{marginTop:1,flexDirection:"column"},h.createElement(o,{active:Ee%2===0,radius:1,size:2,onFocusRequest:ce},[...T.releaseRoots].map(ne=>h.createElement(U,{key:ne.cwd,workspace:ne,decision:ae.get(ne)||"undecided",setDecision:ee=>we(ne,ee)}))))),g.size>0?h.createElement(h.Fragment,null,h.createElement(A,{marginTop:1},h.createElement(p,{wrap:"wrap"},"The following workspaces depend on other workspaces that have been marked for release, and thus may need to be released as well:")),h.createElement(A,null,h.createElement(p,null,"(Press ",h.createElement(p,{bold:!0,color:"cyanBright"},"<tab>")," to move the focus between the workspace groups.)")),g.size>5?h.createElement(A,{marginTop:1},h.createElement(le,{workspaces:g,releases:ae})):null,h.createElement(A,{marginTop:1,flexDirection:"column"},h.createElement(o,{active:Ee%2===1,radius:2,size:2,onFocusRequest:ce},[...g].map(ne=>h.createElement(U,{key:ne.cwd,workspace:ne,decision:ae.get(ne)||"undecided",setDecision:ee=>we(ne,ee)}))))):null)},{versionFile:T},{stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr});if(typeof Ae>"u")return 1;T.releases.clear();for(let[ye,ae]of Ae)T.releases.set(ye,ae);await T.saveAll()}async executeStandard(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);return await o.restoreInstallState(),(await Nt.start({configuration:r,stdout:this.context.stdout},async u=>{let A=await hw(o);if(A===null||A.releaseRoots.size===0)return;if(A.root===null)throw new it("This command can only be run on Git repositories");if(u.reportInfo(0,`Your PR was started right after ${de.pretty(r,A.baseHash.slice(0,7),"yellow")} ${de.pretty(r,A.baseTitle,"magenta")}`),A.changedFiles.size>0){u.reportInfo(0,"You have changed the following files since then:"),u.reportSeparator();for(let v of A.changedFiles)u.reportInfo(null,`${de.pretty(r,ue.fromPortablePath(A.root),"gray")}${ue.sep}${ue.relative(ue.fromPortablePath(A.root),ue.fromPortablePath(v))}`)}let p=!1,h=!1,E=cF(A);if(E.size>0){p||u.reportSeparator();for(let v of E)u.reportError(0,`${W.prettyLocator(r,v.anchoredLocator)} has been modified but doesn't have a release strategy attached`);p=!0}let I=qv(A);for(let[v,b]of I)h||u.reportSeparator(),u.reportError(0,`${W.prettyLocator(r,v.anchoredLocator)} doesn't have a release strategy attached, but depends on ${W.prettyWorkspace(r,b)} which is planned for release.`),h=!0;(p||h)&&(u.reportSeparator(),u.reportInfo(0,"This command detected that at least some workspaces have received modifications without explicit instructions as to how they had to be released (if needed)."),u.reportInfo(0,"To correct these errors, run `yarn version check --interactive` then follow the instructions."))})).exitCode()}};eg.paths=[["version","check"]],eg.usage=nt.Usage({category:"Release-related commands",description:"check that all the relevant packages have been bumped",details:"\n **Warning:** This command currently requires Git.\n\n This command will check that all the packages covered by the files listed in argument have been properly bumped or declined to bump.\n\n In the case of a bump, the check will also cover transitive packages - meaning that should `Foo` be bumped, a package `Bar` depending on `Foo` will require a decision as to whether `Bar` will need to be bumped. This check doesn't cross packages that have declined to bump.\n\n In case no arguments are passed to the function, the list of modified files will be generated by comparing the HEAD against `master`.\n ",examples:[["Check whether the modified packages need a bump","yarn version check"]]});Ye();qt();var fF=$e(zn());var tg=class extends ut{constructor(){super(...arguments);this.deferred=ge.Boolean("-d,--deferred",{description:"Prepare the version to be bumped during the next release cycle"});this.immediate=ge.Boolean("-i,--immediate",{description:"Bump the version immediately"});this.strategy=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);let n=r.get("preferDeferredVersions");this.deferred&&(n=!0),this.immediate&&(n=!1);let u=fF.default.valid(this.strategy),A=this.strategy==="decline",p;if(u)if(a.manifest.version!==null){let E=JG(a.manifest.version,this.strategy);E!==null?p=E:p=this.strategy}else p=this.strategy;else{let E=a.manifest.version;if(!A){if(E===null)throw new it("Can't bump the version if there wasn't a version to begin with - use 0.0.0 as initial version then run the command again.");if(typeof E!="string"||!fF.default.valid(E))throw new it(`Can't bump the version (${E}) if it's not valid semver`)}p=fw(this.strategy)}if(!n){let I=(await jv(o)).get(a);if(typeof I<"u"&&p!=="decline"){let v=uF(a.manifest.version,p);if(fF.default.lt(v,I))throw new it(`Can't bump the version to one that would be lower than the current deferred one (${I})`)}}let h=await hw(o,{allowEmpty:!0});return h.releases.set(a,p),await h.saveAll(),n?0:await this.cli.run(["version","apply"])}};tg.paths=[["version"]],tg.usage=nt.Usage({category:"Release-related commands",description:"apply a new version to the current package",details:"\n This command will bump the version number for the given package, following the specified strategy:\n\n - If `major`, the first number from the semver range will be increased (`X.0.0`).\n - If `minor`, the second number from the semver range will be increased (`0.X.0`).\n - If `patch`, the third number from the semver range will be increased (`0.0.X`).\n - If prefixed by `pre` (`premajor`, ...), a `-0` suffix will be set (`0.0.0-0`).\n - If `prerelease`, the suffix will be increased (`0.0.0-X`); the third number from the semver range will also be increased if there was no suffix in the previous version.\n - If `decline`, the nonce will be increased for `yarn version check` to pass without version bump.\n - If a valid semver range, it will be used as new version.\n - If unspecified, Yarn will ask you for guidance.\n\n For more information about the `--deferred` flag, consult our documentation (https://yarnpkg.com/features/release-workflow#deferred-versioning).\n ",examples:[["Immediately bump the version to the next major","yarn version major"],["Prepare the version to be bumped to the next major","yarn version major --deferred"]]});var zDt={configuration:{deferredVersionFolder:{description:"Folder where are stored the versioning files",type:"ABSOLUTE_PATH",default:"./.yarn/versions"},preferDeferredVersions:{description:"If true, running `yarn version` will assume the `--deferred` flag unless `--immediate` is set",type:"BOOLEAN",default:!1}},commands:[$0,eg,tg]},XDt=zDt;var ZG={};Kt(ZG,{WorkspacesFocusCommand:()=>rg,WorkspacesForeachCommand:()=>op,default:()=>ePt});Ye();Ye();qt();var rg=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.production=ge.Boolean("--production",!1,{description:"Only install regular dependencies by omitting dev dependencies"});this.all=ge.Boolean("-A,--all",!1,{description:"Install the entire project"});this.workspaces=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);await o.restoreInstallState({restoreResolutions:!1});let u;if(this.all)u=new Set(o.workspaces);else if(this.workspaces.length===0){if(!a)throw new rr(o.cwd,this.context.cwd);u=new Set([a])}else u=new Set(this.workspaces.map(A=>o.getWorkspaceByIdent(W.parseIdent(A))));for(let A of u)for(let p of this.production?["dependencies"]:Mt.hardDependencies)for(let h of A.manifest.getForScope(p).values()){let E=o.tryWorkspaceByDescriptor(h);E!==null&&u.add(E)}for(let A of o.workspaces)u.has(A)?this.production&&A.manifest.devDependencies.clear():(A.manifest.installConfig=A.manifest.installConfig||{},A.manifest.installConfig.selfReferences=!1,A.manifest.dependencies.clear(),A.manifest.devDependencies.clear(),A.manifest.peerDependencies.clear(),A.manifest.scripts.clear());return await o.installWithNewReport({json:this.json,stdout:this.context.stdout},{cache:n,persistProject:!1})}};rg.paths=[["workspaces","focus"]],rg.usage=nt.Usage({category:"Workspace-related commands",description:"install a single workspace and its dependencies",details:"\n This command will run an install as if the specified workspaces (and all other workspaces they depend on) were the only ones in the project. If no workspaces are explicitly listed, the active one will be assumed.\n\n Note that this command is only very moderately useful when using zero-installs, since the cache will contain all the packages anyway - meaning that the only difference between a full install and a focused install would just be a few extra lines in the `.pnp.cjs` file, at the cost of introducing an extra complexity.\n\n If the `-A,--all` flag is set, the entire project will be installed. 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IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, - INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM - LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR - OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR - PERFORMANCE OF THIS SOFTWARE. - */ -/** - @license - Copyright Joyent, Inc. and other Node contributors. - - Permission is hereby granted, free of charge, to any person obtaining a - copy of this software and associated documentation files (the - "Software"), to deal in the Software without restriction, including - without limitation the rights to use, copy, modify, merge, publish, - distribute, sublicense, and/or sell copies of the Software, and to permit - persons to whom the Software is furnished to do so, subject to the - following conditions: - - The above copyright notice and this permission notice shall be included - in all copies or substantial portions of the Software. - - THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS - OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF - MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN - NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, - DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR - OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE - USE OR OTHER DEALINGS IN THE SOFTWARE. -*/ -/** - @license - Copyright Node.js contributors. All rights reserved. - - Permission is hereby granted, free of charge, to any person obtaining a copy - of this software and associated documentation files (the "Software"), to - deal in the Software without restriction, including without limitation the - rights to use, copy, modify, merge, publish, distribute, sublicense, and/or - sell copies of the Software, and to permit persons to whom the Software is - furnished to do so, subject to the following conditions: - - The above copyright notice and this permission notice shall be included in - all copies or substantial portions of the Software. - - THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING - FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS - IN THE SOFTWARE. -*/ -/** - @license - The MIT License (MIT) - - Copyright (c) 2014 Blake Embrey (hello@blakeembrey.com) - - Permission is hereby granted, free of charge, to any person obtaining a copy - of this software and associated documentation files (the "Software"), to deal - in the Software without restriction, including without limitation the rights - to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - copies of the Software, and to permit persons to whom the Software is - furnished to do so, subject to the following conditions: - - The above copyright notice and this permission notice shall be included in - all copies or substantial portions of the Software. - - THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN - THE SOFTWARE. -*/ -/** @license React v0.18.0 - * scheduler.production.min.js - * - * Copyright (c) Facebook, Inc. and its affiliates. - * - * This source code is licensed under the MIT license found in the - * LICENSE file in the root directory of this source tree. - */ -/** @license React v0.24.0 - * react-reconciler.production.min.js - * - * Copyright (c) Facebook, Inc. and its affiliates. - * - * This source code is licensed under the MIT license found in the - * LICENSE file in the root directory of this source tree. - */ -/** @license React v16.13.1 - * react.production.min.js - * - * Copyright (c) Facebook, Inc. and its affiliates. - * - * This source code is licensed under the MIT license found in the - * LICENSE file in the root directory of this source tree. - */ diff --git a/docsite/.yarn/sdks/integrations.yml b/docsite/.yarn/sdks/integrations.yml deleted file mode 100644 index aa9d0d0ad8..0000000000 --- a/docsite/.yarn/sdks/integrations.yml +++ /dev/null @@ -1,5 +0,0 @@ -# This file is automatically generated by @yarnpkg/sdks. -# Manual changes might be lost! - -integrations: - - vscode diff --git a/docsite/.yarnrc.yml b/docsite/.yarnrc.yml deleted file mode 100644 index 42f1e2ebfa..0000000000 --- a/docsite/.yarnrc.yml +++ /dev/null @@ -1,7 +0,0 @@ -compressionLevel: mixed - -enableGlobalCache: false - -nodeLinker: pnp - -yarnPath: .yarn/releases/yarn-4.0.2.cjs diff --git a/docsite/_includes/page.css b/docsite/_includes/page.css deleted file mode 100644 index 416ac89e3d..0000000000 --- a/docsite/_includes/page.css +++ /dev/null @@ -1,115 +0,0 @@ -html { - padding: 0; - margin: 0; -} - -body{ - font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; - padding: 0; - margin: 0; -} - -footer{ - width: 100%; - height: 32px; - font-size: 12px; - display: flex; - flex-direction: row; - justify-content: center; - gap: 18px; - align-items: center; - color: #5d5d5d; - background: #e9eaeb; - border-top: 1px solid #c4c5c6; -} - -#cookiesManager{ - cursor: pointer; - color: #485fc7; -} - -.page-content { - display: flex; - flex-direction: row; - margin: 0; - padding: 0; - overflow: scroll; - padding: 0; - margin: 0; -} - -header { - background-color: lightgrey; - height: 2%; - padding: 10px; -} - -nav { - padding: 1em; - min-width: 200px; -} - -main { - flex: 1; - padding: 0 5em 0 5em; -} - -.logotitle { - font-size: 1.5em; - font-weight: bold; - margin: 5px; -} - -.number { - all: unset; -} - -.tag.token { - all: unset; -} - -main ul { - list-style-type: disc; - padding-left: 30px; - margin-top: 10px; -} - -h1 { - font-size: 2rem; - margin-top: 10px; -} - -h2 { - font-size: 1.5rem; - margin-top: 10px; - font-weight: 500; -} - -h3 { - font-size: 1rem; - margin-top: 10px; - font-weight: 500; -} -p { - margin-top: 10px; -} - -/* Accessibility styling */ - -a { - color: #485fc7; - text-decoration: underline; -} - -.menu-list a { - text-decoration: none; -} - - -.token.comment, .token.prolog, .token.doctype, .token.cdata { - color: #8093a5; -} - -.token.property, .token.tag, .token.constant, .token.symbol, .token.deleted { - color: #ff36ab; -} \ No newline at end of file diff --git a/docsite/_includes/page.njk b/docsite/_includes/page.njk deleted file mode 100644 index b6f57bc96f..0000000000 --- a/docsite/_includes/page.njk +++ /dev/null @@ -1,164 +0,0 @@ ---- -title: GraphRAG ---- -{% set css %} -{% include "page.css" %} -{% endset %} - -{% macro link_to(url, text) %} -<a href="{{url}}"{% if page.url == url %} class="is-active" aria-current="page"{% endif %}>{{text}}</a> -{% endmacro %} - -<!doctype html> -<html lang="en"> - <head> - <meta charset="utf-8"> - <meta name="viewport" content="width=device-width, initial-scale=1.0"> - <title>{{ title }} - - - - - {% mermaid_js %} - {% initClipboardJS %} - - {% block js %} - - - {% endblock %} - - -
- - GraphRAG -
-
- - - - -
-

{{title}}

- {{ content | safe }} -
-
- - - \ No newline at end of file diff --git a/docsite/nbdocsite_template/conf.json b/docsite/nbdocsite_template/conf.json deleted file mode 100644 index 62feba72d4..0000000000 --- a/docsite/nbdocsite_template/conf.json +++ /dev/null @@ -1,5 +0,0 @@ -{ - "mimetypes": { - "text/markdown": true - } - } \ No newline at end of file diff --git a/docsite/nbdocsite_template/index.md.j2 b/docsite/nbdocsite_template/index.md.j2 deleted file mode 100644 index 46b7b5fada..0000000000 --- a/docsite/nbdocsite_template/index.md.j2 +++ /dev/null @@ -1,94 +0,0 @@ -{% extends 'base/display_priority.j2' %} - - -{%- block header -%} ---- -title: -layout: page -tags: [post, notebook] ---- -{%- endblock header -%} - -{% block in_prompt %} -{% endblock in_prompt %} - -{% block output_prompt %} -{%- endblock output_prompt %} - -{% block input %} -``` -{%- if 'magics_language' in cell.metadata -%} - {{ cell.metadata.magics_language}} -{%- elif 'name' in nb.metadata.get('language_info', {}) -%} - {{ nb.metadata.language_info.name }} -{%- endif %} -{{ cell.source}} -``` -{% endblock input %} - -{% block error %} -{{ super() }} -{% endblock error %} - -{% block traceback_line %} -{{ line | indent | strip_ansi }} -{% endblock traceback_line %} - -{% block execute_result %} - -{% block data_priority scoped %} -{{ super() }} -{% endblock %} -{% endblock execute_result %} - -{% block stream %} -{{ output.text | indent }} -{% endblock stream %} - -{% block data_svg %} - {% if "filenames" in output.metadata %} -![svg]({{ output.metadata.filenames['image/svg+xml'] | path2url }}) - {% else %} -![svg](data:image/svg;base64,{{ output.data['image/svg+xml'] }}) - {% endif %} -{% endblock data_svg %} - -{% block data_png %} - {% if "filenames" in output.metadata %} -![png]({{ output.metadata.filenames['image/png'] | path2url }}) - {% else %} -![png](data:image/png;base64,{{ output.data['image/png'] }}) - {% endif %} -{% endblock data_png %} - -{% block data_jpg %} - {% if "filenames" in output.metadata %} -![jpeg]({{ output.metadata.filenames['image/jpeg'] | path2url }}) - {% else %} -![jpeg](data:image/jpeg;base64,{{ output.data['image/jpeg'] }}) - {% endif %} -{% endblock data_jpg %} - -{% block data_latex %} -{{ output.data['text/latex'] }} -{% endblock data_latex %} - -{% block data_html scoped %} -{{ output.data['text/html'] }} -{% endblock data_html %} - -{% block data_markdown scoped %} -{{ output.data['text/markdown'] }} -{% endblock data_markdown %} - -{% block data_text scoped %} -{{ output.data['text/plain'] | indent }} -{% endblock data_text %} - -{% block markdowncell scoped %} -{{ cell.source }} -{% endblock markdowncell %} - -{% block unknowncell scoped %} -unknown type {{ cell.type }} -{% endblock unknowncell %} \ No newline at end of file diff --git a/docsite/package.json b/docsite/package.json deleted file mode 100644 index 4ed4295a34..0000000000 --- a/docsite/package.json +++ /dev/null @@ -1,18 +0,0 @@ -{ - "name": "@graphrag/docsite", - "version": "0.0.1", - "private": true, - "scripts": { - "start": "eleventy --serve", - "build": "eleventy && touch _site/.nojekyll", - "build:docs": "yarn build", - "start:docs": "yarn start" - }, - "dependencies": { - "@11ty/eleventy": "^2.0.1", - "@11ty/eleventy-plugin-syntaxhighlight": "^5.0.0", - "@kevingimbel/eleventy-plugin-mermaid": "^2.2.1", - "eleventy-plugin-code-clipboard": "^0.1.1", - "markdown-it": "^14.1.0" - } -} diff --git a/docsite/posts/config/custom.md b/docsite/posts/config/custom.md deleted file mode 100644 index c6f051cdbc..0000000000 --- a/docsite/posts/config/custom.md +++ /dev/null @@ -1,168 +0,0 @@ ---- -title: Custom Configuration Mode -navtitle: Fully Custom Config -layout: page -tags: [post] -date: 2023-01-04 ---- - -The primary configuration sections for Indexing Engine pipelines are described below. Each configuration section can be expressed in Python (for use in Python API mode) as well as YAML, but YAML is show here for brevity. - -Using custom configuration is an advanced use-case. Most users will want to use the [Default Configuration](/posts/config/overview) instead. - -## Indexing Engine Examples - -The [examples](https://github.com/microsoft/graphrag/blob/main/examples/) directory contains several examples of how to use the indexing engine with _custom configuration_. - -Most examples include two different forms of running the pipeline, both are contained in the examples `run.py` - -1. Using mostly the Python API -2. Using mostly the a pipeline configuration file - -To run an example: - -- Run `poetry shell` to activate a virtual environment with the required dependencies. -- Run `PYTHONPATH="$(pwd)" python examples/path_to_example/run.py` from the `root` directory. - -For example to run the single_verb example, you would run the following commands: - -```bash -poetry shell -``` - -```sh -PYTHONPATH="$(pwd)" python examples/single_verb/run.py -``` - -# Configuration Sections - -# > extends - -This configuration allows you to extend a base configuration file or files. - -```yaml -# single base -extends: ../base_config.yml -``` - -```yaml -# multiple bases -extends: - - ../base_config.yml - - ../base_config2.yml -``` - -# > root_dir - -This configuration allows you to set the root directory for the pipeline. All data inputs and outputs are assumed to be relative to this path. - -```yaml -root_dir: /workspace/data_project -``` - -# > storage - -This configuration allows you define the output strategy for the pipeline. - -- `type`: The type of storage to use. Options are `file`, `memory`, and `blob` -- `base_dir` (`type: file` only): The base directory to store the data in. This is relative to the config root. -- `connection_string` (`type: blob` only): The connection string to use for blob storage. -- `container_name` (`type: blob` only): The container to use for blob storage. - -# > cache - -This configuration allows you define the cache strategy for the pipeline. - -- `type`: The type of cache to use. Options are `file` and `memory`, and `blob`. -- `base_dir` (`type: file` only): The base directory to store the cache in. This is relative to the config root. -- `connection_string` (`type: blob` only): The connection string to use for blob storage. -- `container_name` (`type: blob` only): The container to use for blob storage. - -# > reporting - -This configuration allows you define the reporting strategy for the pipeline. Report files are generated artifacts that summarize the performance metrics of the pipeline and emit any error messages. - -- `type`: The type of reporting to use. Options are `file`, `memory`, and `blob` -- `base_dir` (`type: file` only): The base directory to store the reports in. This is relative to the config root. -- `connection_string` (`type: blob` only): The connection string to use for blob storage. -- `container_name` (`type: blob` only): The container to use for blob storage. - -# > workflows - -This configuration section defines the workflow DAG for the pipeline. Here we define an array of workflows and express their inter-dependencies in steps: - -- `name`: The name of the workflow. This is used to reference the workflow in other parts of the config. -- `steps`: The DataShaper steps that this workflow comprises. If a step defines an input in the form of `workflow:`, then it is assumed to have a dependency on the output of that workflow. - -```yaml -workflows: - - name: workflow1 - steps: - - verb: derive - args: - column1: "col1" - column2: "col2" - - name: workflow2 - steps: - - verb: derive - args: - column1: "col1" - column2: "col2" - input: - # dependency established here - source: workflow:workflow1 -``` - -# > input - -- `type`: The type of input to use. Options are `file` or `blob`. -- `file_type`: The file type field discriminates between the different input types. Options are `csv` and `text`. -- `base_dir`: The base directory to read the input files from. This is relative to the config file. -- `file_pattern`: A regex to match the input files. The regex must have named groups for each of the fields in the file_filter. -- `post_process`: A DataShaper workflow definition to apply to the input before executing the primary workflow. -- `source_column` (`type: csv` only): The column containing the source/author of the data -- `text_column` (`type: csv` only): The column containing the text of the data -- `timestamp_column` (`type: csv` only): The column containing the timestamp of the data -- `timestamp_format` (`type: csv` only): The format of the timestamp - -```yaml -input: - type: file - file_type: csv - base_dir: ../data/csv # the directory containing the CSV files, this is relative to the config file - file_pattern: '.*[\/](?P[^\/]+)[\/](?P\d{4})-(?P\d{2})-(?P\d{2})_(?P[^_]+)_\d+\.csv$' # a regex to match the CSV files - # An additional file filter which uses the named groups from the file_pattern to further filter the files - # file_filter: - # # source: (source_filter) - # year: (2023) - # month: (06) - # # day: (22) - source_column: "author" # the column containing the source/author of the data - text_column: "message" # the column containing the text of the data - timestamp_column: "date(yyyyMMddHHmmss)" # optional, the column containing the timestamp of the data - timestamp_format: "%Y%m%d%H%M%S" # optional, the format of the timestamp - post_process: # Optional, set of steps to process the data before going into the workflow - - verb: filter - args: - column: "title", - value: "My document" -``` - -```yaml -input: - type: file - file_type: csv - base_dir: ../data/csv # the directory containing the CSV files, this is relative to the config file - file_pattern: '.*[\/](?P[^\/]+)[\/](?P\d{4})-(?P\d{2})-(?P\d{2})_(?P[^_]+)_\d+\.csv$' # a regex to match the CSV files - # An additional file filter which uses the named groups from the file_pattern to further filter the files - # file_filter: - # # source: (source_filter) - # year: (2023) - # month: (06) - # # day: (22) - post_process: # Optional, set of steps to process the data before going into the workflow - - verb: filter - args: - column: "title", - value: "My document" -``` diff --git a/docsite/posts/config/init.md b/docsite/posts/config/init.md deleted file mode 100644 index afaa571254..0000000000 --- a/docsite/posts/config/init.md +++ /dev/null @@ -1,38 +0,0 @@ ---- -title: Configuring GraphRAG Indexing -navtitle: Init Command -tags: [post] -layout: page -date: 2023-01-03 ---- - -To start using GraphRAG, you need to configure the system. The `init` command is the easiest way to get started. It will create a `.env` and `settings.yaml` files in the specified directory with the necessary configuration settings. It will also output the default LLM prompts used by GraphRAG. - -## Usage - -```sh -python -m graphrag.index [--init] [--root PATH] -``` - -## Options - -- `--init` - Initialize the directory with the necessary configuration files. -- `--root PATH` - The root directory to initialize. Default is the current directory. - -## Example - -```sh -python -m graphrag.index --init --root ./ragtest -``` - -## Output - -The `init` command will create the following files in the specified directory: - -- `settings.yaml` - The configuration settings file. This file contains the configuration settings for GraphRAG. -- `.env` - The environment variables file. These are referenced in the `settings.yaml` file. -- `prompts/` - The LLM prompts folder. This contains the default prompts used by GraphRAG, you can modify them or run the [Auto Prompt Tuning](/posts/prompt_tuning/auto_prompt_tuning) command to generate new prompts adapted to your data. - -## Next Steps - -After initializing your workspace, you can either run the [Prompt Tuning](/posts/prompt_tuning/auto_prompt_tuning) command to adapt the prompts to your data or even start running the [Indexing Pipeline](/posts/index/overview) to index your data. For more information on configuring GraphRAG, see the [Configuration](/posts/config/overview) documentation. diff --git a/docsite/posts/config/json_yaml.md b/docsite/posts/config/json_yaml.md deleted file mode 100644 index b1350cded0..0000000000 --- a/docsite/posts/config/json_yaml.md +++ /dev/null @@ -1,224 +0,0 @@ ---- -title: Default Configuration Mode (using JSON/YAML) -navtitle: Using JSON or YAML -tags: [post] -layout: page -date: 2023-01-03 ---- - -The default configuration mode may be configured by using a `config.json` or `config.yml` file in the data project root. If a `.env` file is present along with this config file, then it will be loaded, and the environment variables defined therein will be available for token replacements in your configuration document using `${ENV_VAR}` syntax. - -For example: - -``` -# .env -API_KEY=some_api_key - -# config.json -{ - "llm": { - "api_key": "${API_KEY}" - } -} -``` - -# Config Sections - -## input - -### Fields - -- `type` **file|blob** - The input type to use. Default=`file` -- `file_type` **text|csv** - The type of input data to load. Either `text` or `csv`. Default is `text` -- `file_encoding` **str** - The encoding of the input file. Default is `utf-8` -- `file_pattern` **str** - A regex to match input files. Default is `.*\.csv$` if in csv mode and `.*\.txt$` if in text mode. -- `source_column` **str** - (CSV Mode Only) The source column name. -- `timestamp_column` **str** - (CSV Mode Only) The timestamp column name. -- `timestamp_format` **str** - (CSV Mode Only) The source format. -- `text_column` **str** - (CSV Mode Only) The text column name. -- `title_column` **str** - (CSV Mode Only) The title column name. -- `document_attribute_columns` **list[str]** - (CSV Mode Only) The additional document attributes to include. -- `connection_string` **str** - (blob only) The Azure Storage connection string. -- `container_name` **str** - (blob only) The Azure Storage container name. -- `base_dir` **str** - The base directory to read input from, relative to the root. -- `storage_account_blob_url` **str** - The storage account blob URL to use. - -## llm - -This is the base LLM configuration section. Other steps may override this configuration with their own LLM configuration. - -### Fields - -- `api_key` **str** - The OpenAI API key to use. -- `type` **openai_chat|azure_openai_chat|openai_embedding|azure_openai_embedding** - The type of LLM to use. -- `model` **str** - The model name. -- `max_tokens` **int** - The maximum number of output tokens. -- `request_timeout` **float** - The per-request timeout. -- `api_base` **str** - The API base url to use. -- `api_version` **str** - The API version -- `organization` **str** - The client organization. -- `proxy` **str** - The proxy URL to use. -- `cognitive_services_endpoint` **str** - The url endpoint for cognitive services. -- `deployment_name` **str** - The deployment name to use (Azure). -- `model_supports_json` **bool** - Whether the model supports JSON-mode output. -- `tokens_per_minute` **int** - Set a leaky-bucket throttle on tokens-per-minute. -- `requests_per_minute` **int** - Set a leaky-bucket throttle on requests-per-minute. -- `max_retries` **int** - The maximum number of retries to use. -- `max_retry_wait` **float** - The maximum backoff time. -- `sleep_on_rate_limit_recommendation` **bool** - Whether to adhere to sleep recommendations (Azure). -- `concurrent_requests` **int** The number of open requests to allow at once. -- `temperature` **float** - The temperature to use. -- `top_p` **float** - The top-p value to use. -- `n` **int** - The number of completions to generate. - -## parallelization - -### Fields - -- `stagger` **float** - The threading stagger value. -- `num_threads` **int** - The maximum number of work threads. - -## async_mode - -**asyncio|threaded** The async mode to use. Either `asyncio` or `threaded. - -## embeddings - -### Fields - -- `llm` (see LLM top-level config) -- `parallelization` (see Parallelization top-level config) -- `async_mode` (see Async Mode top-level config) -- `batch_size` **int** - The maximum batch size to use. -- `batch_max_tokens` **int** - The maximum batch #-tokens. -- `target` **required|all** - Determines which set of embeddings to emit. -- `skip` **list[str]** - Which embeddings to skip. -- `strategy` **dict** - Fully override the text-embedding strategy. - -## chunks - -### Fields - -- `size` **int** - The max chunk size in tokens. -- `overlap` **int** - The chunk overlap in tokens. -- `group_by_columns` **list[str]** - group documents by fields before chunking. -- `strategy` **dict** - Fully override the chunking strategy. - -## cache - -### Fields - -- `type` **file|memory|none|blob** - The cache type to use. Default=`file` -- `connection_string` **str** - (blob only) The Azure Storage connection string. -- `container_name` **str** - (blob only) The Azure Storage container name. -- `base_dir` **str** - The base directory to write cache to, relative to the root. -- `storage_account_blob_url` **str** - The storage account blob URL to use. - -## storage - -### Fields - -- `type` **file|memory|blob** - The storage type to use. Default=`file` -- `connection_string` **str** - (blob only) The Azure Storage connection string. -- `container_name` **str** - (blob only) The Azure Storage container name. -- `base_dir` **str** - The base directory to write reports to, relative to the root. -- `storage_account_blob_url` **str** - The storage account blob URL to use. - -## reporting - -### Fields - -- `type` **file|console|blob** - The reporting type to use. Default=`file` -- `connection_string` **str** - (blob only) The Azure Storage connection string. -- `container_name` **str** - (blob only) The Azure Storage container name. -- `base_dir` **str** - The base directory to write reports to, relative to the root. -- `storage_account_blob_url` **str** - The storage account blob URL to use. - -## entity_extraction - -### Fields - -- `llm` (see LLM top-level config) -- `parallelization` (see Parallelization top-level config) -- `async_mode` (see Async Mode top-level config) -- `prompt` **str** - The prompt file to use. -- `entity_types` **list[str]** - The entity types to identify. -- `max_gleanings` **int** - The maximum number of gleaning cycles to use. -- `strategy` **dict** - Fully override the entity extraction strategy. - -## summarize_descriptions - -### Fields - -- `llm` (see LLM top-level config) -- `parallelization` (see Parallelization top-level config) -- `async_mode` (see Async Mode top-level config) -- `prompt` **str** - The prompt file to use. -- `max_length` **int** - The maximum number of output tokens per summarization. -- `strategy` **dict** - Fully override the summarize description strategy. - -## claim_extraction - -### Fields - -- `enabled` **bool** - Whether to enable claim extraction. default=False -- `llm` (see LLM top-level config) -- `parallelization` (see Parallelization top-level config) -- `async_mode` (see Async Mode top-level config) -- `prompt` **str** - The prompt file to use. -- `description` **str** - Describes the types of claims we want to extract. -- `max_gleanings` **int** - The maximum number of gleaning cycles to use. -- `strategy` **dict** - Fully override the claim extraction strategy. - -## community_reports - -### Fields - -- `llm` (see LLM top-level config) -- `parallelization` (see Parallelization top-level config) -- `async_mode` (see Async Mode top-level config) -- `prompt` **str** - The prompt file to use. -- `max_length` **int** - The maximum number of output tokens per report. -- `max_input_length` **int** - The maximum number of input tokens to use when generating reports. -- `strategy` **dict** - Fully override the community reports strategy. - -## cluster_graph - -### Fields - -- `max_cluster_size` **int** - The maximum cluster size to emit. -- `strategy` **dict** - Fully override the cluster_graph strategy. - -## embed_graph - -### Fields - -- `enabled` **bool** - Whether to enable graph embeddings. -- `num_walks` **int** - The node2vec number of walks. -- `walk_length` **int** - The node2vec walk length. -- `window_size` **int** - The node2vec window size. -- `iterations` **int** - The node2vec number of iterations. -- `random_seed` **int** - The node2vec random seed. -- `strategy` **dict** - Fully override the embed graph strategy. - -## umap - -### Fields - -- `enabled` **bool** - Whether to enable UMAP layouts. - -## snapshots - -### Fields - -- `graphml` **bool** - Emit graphml snapshots. -- `raw_entities` **bool** - Emit raw entity snapshots. -- `top_level_nodes` **bool** - Emit top-level-node snapshots. - -## encoding_model - -**str** - The text encoding model to use. Default is `cl100k_base`. - -## skip_workflows - -**list[str]** - Which workflow names to skip. diff --git a/docsite/posts/config/overview.md b/docsite/posts/config/overview.md deleted file mode 100644 index ce13d41ee9..0000000000 --- a/docsite/posts/config/overview.md +++ /dev/null @@ -1,21 +0,0 @@ ---- -title: Configuring GraphRAG Indexing -navtitle: Configuration -tags: [post] -layout: page -date: 2023-01-03 ---- - -The GraphRAG system is highly configurable. This page provides an overview of the configuration options available for the GraphRAG indexing engine. - -## Default Configuration Mode - -The default configuration mode is the simplest way to get started with the GraphRAG system. It is designed to work out-of-the-box with minimal configuration. The primary configuration sections for the Indexing Engine pipelines are described below. The main ways to set up GraphRAG in Default Configuration mode are via: - -- [Init command](/posts/config/init) (recommended) -- [Purely using environment variables](/posts/config/env_vars) -- [Using JSON or YAML for deeper control](/posts/config/json_yaml) - -## Custom Configuration Mode - -Custom configuration mode is an advanced use-case. Most users will want to use the Default Configuration instead. The primary configuration sections for Indexing Engine pipelines are described below. Details about how to use custom configuration are available in the [Custom Configuration Mode](/posts/config/custom) documentation. diff --git a/docsite/posts/config/template.md b/docsite/posts/config/template.md deleted file mode 100644 index d3ff14d52f..0000000000 --- a/docsite/posts/config/template.md +++ /dev/null @@ -1,174 +0,0 @@ ---- -title: Configuration Template -navtitle: Configuration Template -layout: page -tags: [post] -date: 2024-04-04 ---- - -The following template can be used and stored as a `.env` in the the directory where you're are pointing -the `--root` parameter on your Indexing Pipeline execution. - -For details about how to run the Indexing Pipeline, refer to the [Index CLI](../../index/2-cli) documentation. - -## .env File Template - -Required variables are uncommented. All the optional configuration can be turned on or off as needed. - -### Minimal Configuration - -```bash -# Base LLM Settings -GRAPHRAG_API_KEY="your_api_key" -GRAPHRAG_API_BASE="http://.openai.azure.com" # For Azure OpenAI Users -GRAPHRAG_API_VERSION="api_version" # For Azure OpenAI Users - -# Text Generation Settings -GRAPHRAG_LLM_TYPE="azure_openai_chat" # or openai_chat -GRAPHRAG_LLM_DEPLOYMENT_NAME="gpt-4-turbo-preview" -GRAPHRAG_LLM_MODEL_SUPPORTS_JSON=True - -# Text Embedding Settings -GRAPHRAG_EMBEDDING_TYPE="azure_openai_embedding" # or openai_embedding -GRAPHRAG_LLM_DEPLOYMENT_NAME="text-embedding-3-small" - -# Data Mapping Settings -GRAPHRAG_INPUT_TYPE="text" - -``` - -### Full Configuration - -```bash - -# Required LLM Config - -# Input Data Configuration -GRAPHRAG_INPUT_TYPE="file" - -# Plaintext Input Data Configuration -# GRAPHRAG_INPUT_FILE_PATTERN=.*\.txt - -# Text Input Data Configuration -GRAPHRAG_INPUT_FILE_TYPE="text" -GRAPHRAG_INPUT_FILE_PATTERN=".*\.txt$" -GRAPHRAG_INPUT_SOURCE_COLUMN=source -# GRAPHRAG_INPUT_TIMESTAMP_COLUMN=None -# GRAPHRAG_INPUT_TIMESTAMP_FORMAT=None -# GRAPHRAG_INPUT_TEXT_COLUMN="text" -# GRAPHRAG_INPUT_ATTRIBUTE_COLUMNS=id -# GRAPHRAG_INPUT_TITLE_COLUMN="title" -# GRAPHRAG_INPUT_TYPE="file" -# GRAPHRAG_INPUT_CONNECTION_STRING=None -# GRAPHRAG_INPUT_CONTAINER_NAME=None -# GRAPHRAG_INPUT_BASE_DIR=None - -# Base LLM Settings -GRAPHRAG_API_KEY="your_api_key" -GRAPHRAG_API_BASE="http://.openai.azure.com" # For Azure OpenAI Users -GRAPHRAG_API_VERSION="api_version" # For Azure OpenAI Users -# GRAPHRAG_API_ORGANIZATION=None -# GRAPHRAG_API_PROXY=None - -# Text Generation Settings -# GRAPHRAG_LLM_TYPE=openai_chat -GRAPHRAG_LLM_API_KEY="your_api_key" # If GRAPHRAG_API_KEY is not set -GRAPHRAG_LLM_API_BASE="http://.openai.azure.com" # For Azure OpenAI Users and if GRAPHRAG_API_BASE is not set -GRAPHRAG_LLM_API_VERSION="api_version" # For Azure OpenAI Users and if GRAPHRAG_API_VERSION is not set -GRAPHRAG_LLM_MODEL_SUPPORTS_JSON=True # Suggested by default -# GRAPHRAG_LLM_API_ORGANIZATION=None -# GRAPHRAG_LLM_API_PROXY=None -# GRAPHRAG_LLM_DEPLOYMENT_NAME=None -# GRAPHRAG_LLM_MODEL=gpt-4-turbo-preview -# GRAPHRAG_LLM_MAX_TOKENS=4000 -# GRAPHRAG_LLM_REQUEST_TIMEOUT=180 -# GRAPHRAG_LLM_THREAD_COUNT=50 -# GRAPHRAG_LLM_THREAD_STAGGER=0.3 -# GRAPHRAG_LLM_CONCURRENT_REQUESTS=25 -# GRAPHRAG_LLM_TPM=0 -# GRAPHRAG_LLM_RPM=0 -# GRAPHRAG_LLM_MAX_RETRIES=10 -# GRAPHRAG_LLM_MAX_RETRY_WAIT=10 -# GRAPHRAG_LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION=True - -# Text Embedding Settings -# GRAPHRAG_EMBEDDING_TYPE=openai_embedding -GRAPHRAG_EMBEDDING_API_KEY="your_api_key" # If GRAPHRAG_API_KEY is not set -GRAPHRAG_EMBEDDING_API_BASE="http://.openai.azure.com" # For Azure OpenAI Users and if GRAPHRAG_API_BASE is not set -GRAPHRAG_EMBEDDING_API_VERSION="api_version" # For Azure OpenAI Users and if GRAPHRAG_API_VERSION is not set -# GRAPHRAG_EMBEDDING_API_ORGANIZATION=None -# GRAPHRAG_EMBEDDING_API_PROXY=None -# GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME=None -# GRAPHRAG_EMBEDDING_MODEL=text-embedding-3-small -# GRAPHRAG_EMBEDDING_BATCH_SIZE=16 -# GRAPHRAG_EMBEDDING_BATCH_MAX_TOKENS=8191 -# GRAPHRAG_EMBEDDING_TARGET=required -# GRAPHRAG_EMBEDDING_SKIP=None -# GRAPHRAG_EMBEDDING_THREAD_COUNT=None -# GRAPHRAG_EMBEDDING_THREAD_STAGGER=50 -# GRAPHRAG_EMBEDDING_CONCURRENT_REQUESTS=25 -# GRAPHRAG_EMBEDDING_TPM=0 -# GRAPHRAG_EMBEDDING_RPM=0 -# GRAPHRAG_EMBEDDING_MAX_RETRIES=10 -# GRAPHRAG_EMBEDDING_MAX_RETRY_WAIT=10 -# GRAPHRAG_EMBEDDING_SLEEP_ON_RATE_LIMIT_RECOMMENDATION=True - -# Data Mapping Settings -# GRAPHRAG_INPUT_ENCODING=utf-8 - -# Data Chunking -# GRAPHRAG_CHUNK_SIZE=1200 -# GRAPHRAG_CHUNK_OVERLAP=100 -# GRAPHRAG_CHUNK_BY_COLUMNS=id - -# Prompting Overrides -# GRAPHRAG_ENTITY_EXTRACTION_PROMPT_FILE=None -# GRAPHRAG_ENTITY_EXTRACTION_MAX_GLEANINGS=1 -# GRAPHRAG_ENTITY_EXTRACTION_ENTITY_TYPES=organization,person,event,geo -# GRAPHRAG_SUMMARIZE_DESCRIPTIONS_PROMPT_FILE=None -# GRAPHRAG_SUMMARIZE_DESCRIPTIONS_MAX_LENGTH=500 -# GRAPHRAG_CLAIM_EXTRACTION_DESCRIPTION="Any claims or facts that could be relevant to threat analysis." -# GRAPHRAG_CLAIM_EXTRACTION_PROMPT_FILE=None -# GRAPHRAG_CLAIM_EXTRACTION_MAX_GLEANINGS=1 -# GRAPHRAG_COMMUNITY_REPORT_PROMPT_FILE=None -# GRAPHRAG_COMMUNITY_REPORT_MAX_LENGTH=1500 - -# Storage -# GRAPHRAG_STORAGE_TYPE=file -# GRAPHRAG_STORAGE_CONNECTION_STRING=None -# GRAPHRAG_STORAGE_CONTAINER_NAME=None -# GRAPHRAG_STORAGE_BASE_DIR=None - -# Cache -# GRAPHRAG_CACHE_TYPE=file -# GRAPHRAG_CACHE_CONNECTION_STRING=None -# GRAPHRAG_CACHE_CONTAINER_NAME=None -# GRAPHRAG_CACHE_BASE_DIR=None - -# Reporting -# GRAPHRAG_REPORTING_TYPE=file -# GRAPHRAG_REPORTING_CONNECTION_STRING=None -# GRAPHRAG_REPORTING_CONTAINER_NAME=None -# GRAPHRAG_REPORTING_BASE_DIR=None - -# Node2Vec Parameters -# GRAPHRAG_NODE2VEC_ENABLED=False -# GRAPHRAG_NODE2VEC_NUM_WALKS=10 -# GRAPHRAG_NODE2VEC_WALK_LENGTH=40 -# GRAPHRAG_NODE2VEC_WINDOW_SIZE=2 -# GRAPHRAG_NODE2VEC_ITERATIONS=3 -# GRAPHRAG_NODE2VEC_RANDOM_SEED=597832 - -# Data Snapshotting -# GRAPHRAG_SNAPSHOT_GRAPHML=False -# GRAPHRAG_SNAPSHOT_RAW_ENTITIES=False -# GRAPHRAG_SNAPSHOT_TOP_LEVEL_NODES=False - -# Miscellaneous Settings -# GRAPHRAG_ASYNC_MODE=asyncio -# GRAPHRAG_ENCODING_MODEL=cl100k_base -# GRAPHRAG_MAX_CLUSTER_SIZE=10 -# GRAPHRAG_ENTITY_RESOLUTION_ENABLED=False -# GRAPHRAG_SKIP_WORKFLOWS=None -# GRAPHRAG_UMAP_ENABLED=False -``` diff --git a/docsite/posts/index/2-cli.md b/docsite/posts/index/2-cli.md deleted file mode 100644 index 97911bbcb2..0000000000 --- a/docsite/posts/index/2-cli.md +++ /dev/null @@ -1,26 +0,0 @@ ---- -title: Indexer CLI -navtitle: CLI -layout: page -tags: [post, indexing] -date: 2023-01-03 ---- - -The GraphRAG indexer CLI allows for no-code usage of the GraphRAG Indexer. - -```bash -python -m graphrag.index --verbose --root --config ---resume --reporter --emit json,csv,parquet ---nocache -``` - -## CLI Arguments - -- `--verbose` - Adds extra logging information during the run. -- `--root ` - the data root directory. This should contain an `input` directory with the input data, and an `.env` file with environment variables. These are described below. -- `--init` - This will initialize the data project directory at the specified `root` with bootstrap configuration and prompt-overrides. -- `--resume ` - if specified, the pipeline will attempt to resume a prior run. The parquet files from the prior run will be loaded into the system as inputs, and the workflows that generated those files will be skipped. The input value should be the timestamped output folder, e.g. "20240105-143721". -- `--config ` - This will opt-out of the Default Configuration mode and execute a custom configuration. If this is used, then none of the environment-variables below will apply. -- `--reporter ` - This will specify the progress reporter to use. The default is `rich`. Valid values are `rich`, `print`, and `none`. -- `--emit ` - This specifies the table output formats the pipeline should emit. The default is `parquet`. Valid values are `parquet`, `csv`, and `json`, comma-separated. -- `--nocache` - This will disable the caching mechanism. This is useful for debugging and development, but should not be used in production. diff --git a/docsite/posts/prompt_tuning/auto_prompt_tuning.md b/docsite/posts/prompt_tuning/auto_prompt_tuning.md deleted file mode 100644 index 88b7418873..0000000000 --- a/docsite/posts/prompt_tuning/auto_prompt_tuning.md +++ /dev/null @@ -1,74 +0,0 @@ ---- -title: Prompt Tuning ⚙️ -navtitle: Auto templating -layout: page -tags: [post, tuning] -date: 2024-06-13 ---- - -GraphRAG provides the ability to create domain adaptive templates for the generation of the knowledge graph. This step is optional, though it is highly encouraged to run it as it will yield better results when executing an Index Run. - -The templates are generated by loading the inputs, splitting them into chunks (text units) and then running a series of LLM invocations and template substitutions to generate the final prompts. We suggest using the default values provided by the script, but in this page you'll find the detail of each in case you want to further explore and tweak the template generation algorithm. - -## Prerequisites - -Before running the automatic template generation make sure you have already initialized your workspace with the `graphrag.index --init` command. This will create the necessary configuration files and the default prompts. Refer to the [Init Documentation](/posts/config/init) for more information about the initialization process. - -## Usage - -You can run the main script from the command line with various options: - -```bash -python -m graphrag.prompt_tune [--root ROOT] [--domain DOMAIN] [--method METHOD] [--limit LIMIT] [--language LANGUAGE] [--max-tokens MAX_TOKENS] [--chunk-size CHUNK_SIZE] [--no-entity-types] [--output OUTPUT] -``` - -## Command-Line Options - -- `--root` (optional): The data project root directory, including the config files (YML, JSON, or .env). Defaults to the current directory. - -- `--domain` (optional): The domain related to your input data, such as 'space science', 'microbiology', or 'environmental news'. If left empty, the domain will be inferred from the input data. - -- `--method` (optional): The method to select documents. Options are all, random, or top. Default is random. - -- `--limit` (optional): The limit of text units to load when using random or top selection. Default is 15. - -- `--language` (optional): The language to use for input processing. If it is different from the inputs' language, the LLM will translate. Default is "" meaning it will be automatically detected from the inputs. - -- `--max-tokens` (optional): Maximum token count for prompt generation. Default is 2000. - -- `--chunk-size` (optional): The size in tokens to use for generating text units from input documents. Default is 200. - -- `--no-entity-types` (optional): Use untyped entity extraction generation. We recommend using this when your data covers a lot of topics or it is highly randomized. - -- `--output` (optional): The folder to save the generated prompts. Default is "prompts". - -## Example Usage - -```bash -python -m graphrag.prompt_tune --root /path/to/project --domain "environmental news" --method random --limit 10 --language English --max-tokens 2048 --chunk-size 256 --no-entity-types --output /path/to/output -``` - -or, with minimal configuration (suggested): - -```bash -python -m graphrag.prompt_tune --root /path/to/project --no-entity-types -``` - -## Document Selection Methods - -The auto template feature ingests the input data and then divides it into text units the size of the chunk size parameter. -After that, it uses one of the following selection methods to pick a sample to work with for template generation: - -- `random`: Select text units randomly. This is the default and recommended option. -- `top`: Select the head n text units. -- `all`: Use all text units for the generation. Use only with small datasets; this option is not usually recommended. - -## Modify Env Vars - -After running auto-templating, you should modify the following environment variables (or config variables) to pick up the new prompts on your index run. Note: Please make sure to update the correct path to the generated prompts, in this example we are using the default "prompts" path. - -- `GRAPHRAG_ENTITY_EXTRACTION_PROMPT_FILE` = "prompts/entity_extraction.txt" - -- `GRAPHRAG_COMMUNITY_REPORT_PROMPT_FILE` = "prompts/community_report.txt" - -- `GRAPHRAG_SUMMARIZE_DESCRIPTIONS_PROMPT_FILE` = "prompts/summarize_descriptions.txt" diff --git a/docsite/posts/prompt_tuning/manual_prompt_tuning.md b/docsite/posts/prompt_tuning/manual_prompt_tuning.md deleted file mode 100644 index 935840d253..0000000000 --- a/docsite/posts/prompt_tuning/manual_prompt_tuning.md +++ /dev/null @@ -1,60 +0,0 @@ ---- -title: Prompt Tuning⚙️ -navtitle: Manual Tuning -layout: page -tags: [post, tuning] -date: 2023-01-03 ---- - -The GraphRAG indexer, by default, will run with a handful of prompts that are designed to work well in the broad context of knowledge discovery. -However, it is quite common to want to tune the prompts to better suit your specific use case. -We provide a means for you to do this by allowing you to specify a custom prompt file, which will each use a series of token-replacements internally. - -Each of these prompts may be overridden by writing a custom prompt file in plaintext. We use token-replacements in the form of `{token_name}`, and the descriptions for the available tokens can be found below. - -## Entity/Relationship Extraction - -[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/graph/prompts.py) - -### Tokens (values provided by extractor) - -- **{input_text}** - The input text to be processed. -- **{entity_types}** - A list of entity types -- **{tuple_delimiter}** - A delimiter for separating values within a tuple. A single tuple is used to represent an individual entity or relationship. -- **{record_delimiter}** - A delimiter for separating tuple instances. -- **{completion_delimiter}** - An indicator for when generation is complete. - -## Summarize Entity/Relationship Descriptions - -[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/summarize/prompts.py) - -### Tokens (values provided by extractor) - -- **{entity_name}** - The name of the entity or the source/target pair of the relationship. -- **{description_list}** - A list of descriptions for the entity or relationship. - -## Claim Extraction - -[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/claims/prompts.py) - -### Tokens (values provided by extractor) - -- **{input_text}** - The input text to be processed. -- **{tuple_delimiter}** - A delimiter for separating values within a tuple. A single tuple is used to represent an individual entity or relationship. -- **{record_delimiter}** - A delimiter for separating tuple instances. -- **{completion_delimiter}** - An indicator for when generation is complete. - -Note: there is additional paramater for the `Claim Description` that is used in claim extraction. -The default value is - -`"Any claims or facts that could be relevant to information discovery."` - -See the [configuration documentation](/posts/config/overview/) for details on how to change this. - -## Generate Community Reports - -[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/community_reports/prompts.py) - -### Tokens (values provided by extractor) - -- **{input_text}** - The input text to generate the report with. This will contain tables of entities and relationships. diff --git a/docsite/posts/prompt_tuning/overview.md b/docsite/posts/prompt_tuning/overview.md deleted file mode 100644 index f71b167d65..0000000000 --- a/docsite/posts/prompt_tuning/overview.md +++ /dev/null @@ -1,26 +0,0 @@ ---- -title: Prompt Tuning ⚙️ -navtitle: Overview -layout: page -tags: [post, tuning] -date: 2024-06-13 ---- - -This page provides an overview of the prompt tuning options available for the GraphRAG indexing engine. - -## Default Prompts - -The default prompts are the simplest way to get started with the GraphRAG system. It is designed to work out-of-the-box with minimal configuration. You can find more detail about these prompts in the following links: - -- [Entity/Relationship Extraction](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/graph/prompts.py) -- [Entity/Relationship Description Summarization](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/summarize/prompts.py) -- [Claim Extraction](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/claims/prompts.py) -- [Community Reports](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/community_reports/prompts.py) - -## Auto Templating - -Auto Templating leverages your input data and LLM interactions to create domain adaptive templates for the generation of the knowledge graph. It is highly encouraged to run it as it will yield better results when executing an Index Run. For more details about how to use it, please refer to the [Auto Templating](/posts/prompt_tuning/auto_prompt_tuning) documentation. - -## Manual Configuration - -Manual configuration is an advanced use-case. Most users will want to use the Auto Templating feature instead. Details about how to use manual configuration are available in the [Manual Prompt Configuration](/posts/prompt_tuning/manual_prompt_tuning) documentation. diff --git a/docsite/posts/query/3-cli.md b/docsite/posts/query/3-cli.md deleted file mode 100644 index c1a88f9eb4..0000000000 --- a/docsite/posts/query/3-cli.md +++ /dev/null @@ -1,48 +0,0 @@ ---- -title: Query CLI -navtitle: CLI -layout: page -tags: [post, orchestration] -date: 2024-27-03 ---- - -The GraphRAG query CLI allows for no-code usage of the GraphRAG Query engine. - -```bash -python -m graphrag.query --data --community_level --response_type --method <"local"|"global"> -``` - -## CLI Arguments - -- `--data ` - Folder containing the `.parquet` output files from running the Indexer. -- `--community_level ` - Community level in the Leiden community hierarchy from which we will load the community reports higher value means we use reports on smaller communities. Default: 2 -- `--response_type ` - Free form text describing the response type and format, can be anything, e.g. `Multiple Paragraphs`, `Single Paragraph`, `Single Sentence`, `List of 3-7 Points`, `Single Page`, `Multi-Page Report`. Default: `Multiple Paragraphs`. -- `--method <"local"|"global">` - Method to use to answer the query, one of local or global. For more information check [Overview](overview.md) - -## Env Variables - -Required environment variables to execute: -- `GRAPHRAG_API_KEY` - API Key for executing the model, will fallback to `OPENAI_API_KEY` if one is not provided. -- `GRAPHRAG_LLM_MODEL` - Model to use for Chat Completions. -- `GRAPHRAG_EMBEDDING_MODEL` - Model to use for Embeddings. - -You can further customize the execution by providing these environment variables: - -- `GRAPHRAG_LLM_API_BASE` - The API Base URL. Default: `None` -- `GRAPHRAG_LLM_TYPE` - The LLM operation type. Either `openai_chat` or `azure_openai_chat`. Default: `openai_chat` -- `GRAPHRAG_LLM_MAX_RETRIES` - The maximum number of retries to attempt when a request fails. Default: `20` -- `GRAPHRAG_EMBEDDING_API_BASE` - The API Base URL. Default: `None` -- `GRAPHRAG_EMBEDDING_TYPE` - The embedding client to use. Either `openai_embedding` or `azure_openai_embedding`. Default: `openai_embedding` -- `GRAPHRAG_EMBEDDING_MAX_RETRIES` - The maximum number of retries to attempt when a request fails. Default: `20` -- `GRAPHRAG_LOCAL_SEARCH_TEXT_UNIT_PROP` - Proportion of context window dedicated to related text units. Default: `0.5` -- `GRAPHRAG_LOCAL_SEARCH_COMMUNITY_PROP` - Proportion of context window dedicated to community reports. Default: `0.1` -- `GRAPHRAG_LOCAL_SEARCH_CONVERSATION_HISTORY_MAX_TURNS` - Maximum number of turns to include in the conversation history. Default: `5` -- `GRAPHRAG_LOCAL_SEARCH_TOP_K_ENTITIES` - Number of related entities to retrieve from the entity description embedding store. Default: `10` -- `GRAPHRAG_LOCAL_SEARCH_TOP_K_RELATIONSHIPS` - Control the number of out-of-network relationships to pull into the context window. Default: `10` -- `GRAPHRAG_LOCAL_SEARCH_MAX_TOKENS` - Change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000). Default: `12000` -- `GRAPHRAG_LOCAL_SEARCH_LLM_MAX_TOKENS` - Change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 1000=1500). Default: `2000` -- `GRAPHRAG_GLOBAL_SEARCH_MAX_TOKENS` - Change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000). Default: `12000` -- `GRAPHRAG_GLOBAL_SEARCH_DATA_MAX_TOKENS` - Change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000). Default: `12000` -- `GRAPHRAG_GLOBAL_SEARCH_MAP_MAX_TOKENS` - Default: `500` -- `GRAPHRAG_GLOBAL_SEARCH_REDUCE_MAX_TOKENS` - Change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 1000-1500). Default: `2000` -- `GRAPHRAG_GLOBAL_SEARCH_CONCURRENCY` - Default: `32` \ No newline at end of file diff --git a/docsite/posts/query/notebooks/overview.md b/docsite/posts/query/notebooks/overview.md deleted file mode 100644 index cf1a82593d..0000000000 --- a/docsite/posts/query/notebooks/overview.md +++ /dev/null @@ -1,13 +0,0 @@ ---- -title: Query Engine Notebooks -navtitle: Query Engine Notebooks -layout: page -tags: [post, notebook] ---- - -For examples about running Query please refer to the following notebooks: - -- [Global Search Notebook](/posts/query/notebooks/global_search_nb) -- [Local Search Notebook](/posts/query/notebooks/local_search_nb) - -The test dataset for these notebooks can be found [here](/data/operation_dulce/dataset.zip). \ No newline at end of file diff --git a/docsite/yarn.lock b/docsite/yarn.lock deleted file mode 100644 index ad5b51fa2c..0000000000 --- a/docsite/yarn.lock +++ /dev/null @@ -1,2793 +0,0 @@ -# This file is generated by running "yarn install" inside your project. -# Manual changes might be lost - 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checksum: 4cb02b42b8a93b5cf50caf5d8e9beb409400a8a4d85e83bb0685c1457e9ac0b7a00819e9f5991ac25ffabb56a78e2f017c1acc010b3a1babfe6de690ba531abd - languageName: node - linkType: hard diff --git a/examples/custom_input/run.py b/examples/custom_input/run.py index ba39033e12..debb022379 100644 --- a/examples/custom_input/run.py +++ b/examples/custom_input/run.py @@ -5,7 +5,7 @@ import pandas as pd -from graphrag.index import run_pipeline_with_config +from graphrag.index.run import run_pipeline_with_config pipeline_file = os.path.join( os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml" diff --git a/examples/custom_set_of_available_verbs/custom_verb_definitions.py b/examples/custom_set_of_available_verbs/custom_verb_definitions.py deleted file mode 100644 index ef058ed3d6..0000000000 --- a/examples/custom_set_of_available_verbs/custom_verb_definitions.py +++ /dev/null @@ -1,22 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License -from datashaper import TableContainer, VerbInput - - -def str_append( - input: VerbInput, source_column: str, target_column: str, string_to_append: str -): - """A custom verb that appends a string to a column""" - # by convention, we typically use "column" as the input column name and "to" as the output column name, but you can use whatever you want - # just as long as the "args" in the workflow reference match the function signature - input_data = input.get_input() - output_df = input_data.copy() - output_df[target_column] = output_df[source_column].apply( - lambda x: f"{x}{string_to_append}" - ) - return TableContainer(table=output_df) - - -custom_verbs = { - "str_append": str_append, -} diff --git a/examples/custom_set_of_available_verbs/pipeline.yml b/examples/custom_set_of_available_verbs/pipeline.yml deleted file mode 100644 index 85bcdb24b7..0000000000 --- a/examples/custom_set_of_available_verbs/pipeline.yml +++ /dev/null @@ -1,7 +0,0 @@ -workflows: - - steps: - - verb: "str_append" # should be the key that you pass to the custom_verbs dict below - args: - source_column: "col1" - target_column: "col_1_custom" - string_to_append: " - custom verb" \ No newline at end of file diff --git a/examples/custom_set_of_available_verbs/run.py b/examples/custom_set_of_available_verbs/run.py deleted file mode 100644 index 7e3f461731..0000000000 --- a/examples/custom_set_of_available_verbs/run.py +++ /dev/null @@ -1,84 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License -import asyncio -import os - -import pandas as pd - -from examples.custom_set_of_available_verbs.custom_verb_definitions import custom_verbs -from graphrag.index import run_pipeline, run_pipeline_with_config -from graphrag.index.config import PipelineWorkflowReference - -# Our fake dataset -dataset = pd.DataFrame([{"col1": 2, "col2": 4}, {"col1": 5, "col2": 10}]) - - -async def run_with_config(): - """Run a pipeline with a config file""" - # load pipeline.yml in this directory - config_path = os.path.join( - os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml" - ) - - outputs = [] - async for output in run_pipeline_with_config( - config_or_path=config_path, dataset=dataset - ): - outputs.append(output) - pipeline_result = outputs[-1] - - if pipeline_result.result is not None: - # Should look something like this, which should be identical to the python example: - # col1 col2 col_1_custom - # 0 2 4 2 - custom verb - # 1 5 10 5 - custom verb - print(pipeline_result.result) - else: - print("No results!") - - -async def run_python(): - workflows: list[PipelineWorkflowReference] = [ - PipelineWorkflowReference( - name="my_workflow", - steps=[ - { - "verb": "str_append", # should be the key that you pass to the custom_verbs dict below - "args": { - "source_column": "col1", # from above - "target_column": "col_1_custom", # new column name, - "string_to_append": " - custom verb", # The string to append to the column - }, - # Since we're trying to act on the default input, we don't need explicitly to specify an input - } - ], - ), - ] - - # Run the pipeline - outputs = [] - async for output in run_pipeline( - dataset=dataset, - workflows=workflows, - additional_verbs=custom_verbs, - ): - outputs.append(output) - - # Find the result from the workflow we care about - pipeline_result = next( - (output for output in outputs if output.workflow == "my_workflow"), None - ) - - if pipeline_result is not None and pipeline_result.result is not None: - # Should look something like this: - # col1 col2 col_1_custom - # 0 2 4 2 - custom verb - # 1 5 10 5 - custom verb - print(pipeline_result.result) - else: - print("No results!") - - -if __name__ == "__main__": - asyncio.run(run_python()) - asyncio.run(run_with_config()) diff --git a/examples/custom_set_of_available_workflows/custom_workflow_definitions.py b/examples/custom_set_of_available_workflows/custom_workflow_definitions.py deleted file mode 100644 index 7d91750fa0..0000000000 --- a/examples/custom_set_of_available_workflows/custom_workflow_definitions.py +++ /dev/null @@ -1,36 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License -from graphrag.index.workflows import WorkflowDefinitions - -# Sets up the list of custom workflows that can be used in a pipeline -# The idea being that you can have a pool of workflows that can be used in any number of -# your pipelines -custom_workflows: WorkflowDefinitions = { - "my_workflow": lambda config: [ - { - "verb": "derive", - "args": { - "column1": "col1", # looks for col1 in the dataset - "column2": "col2", # looks for col2 in the dataset - "to": config.get( - # Allow the user to specify the output column name, - # otherwise default to "output_column" - "derive_output_column", - "output_column", - ), # new column name, - "operator": "*", - }, - } - ], - "my_unused_workflow": lambda _config: [ - { - "verb": "derive", - "args": { - "column1": "col1", # looks for col1 in the dataset - "column2": "col2", # looks for col2 in the dataset - "to": "unused_output_column", - "operator": "*", - }, - } - ], -} diff --git a/examples/custom_set_of_available_workflows/pipeline.yml b/examples/custom_set_of_available_workflows/pipeline.yml deleted file mode 100644 index 0ce004d154..0000000000 --- a/examples/custom_set_of_available_workflows/pipeline.yml +++ /dev/null @@ -1,4 +0,0 @@ -workflows: - - name: my_workflow - config: - derive_output_column: "col_1_multiplied" diff --git a/examples/custom_set_of_available_workflows/run.py b/examples/custom_set_of_available_workflows/run.py deleted file mode 100644 index c91f24f795..0000000000 --- a/examples/custom_set_of_available_workflows/run.py +++ /dev/null @@ -1,85 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License -import asyncio -import os - -import pandas as pd - -from examples.custom_set_of_available_workflows.custom_workflow_definitions import ( - custom_workflows, -) -from graphrag.index import run_pipeline, run_pipeline_with_config -from graphrag.index.config import PipelineWorkflowReference - -sample_data_dir = os.path.join( - os.path.dirname(os.path.abspath(__file__)), "../_sample_data/" -) - -# our fake dataset -dataset = pd.DataFrame([{"col1": 2, "col2": 4}, {"col1": 5, "col2": 10}]) - - -async def run_with_config(): - """Run a pipeline with a config file""" - # load pipeline.yml in this directory - config_path = os.path.join( - os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml" - ) - - # Grab the last result from the pipeline, should be our entity extraction - tables = [] - async for table in run_pipeline_with_config( - config_or_path=config_path, - dataset=dataset, - additional_workflows=custom_workflows, - ): - tables.append(table) - pipeline_result = tables[-1] - - if pipeline_result.result is not None: - # Should look something like this: - # col1 col2 col_1_multiplied - # 0 2 4 8 - # 1 5 10 50 - print(pipeline_result.result) - else: - print("No results!") - - -async def run_python(): - """Run a pipeline using the python API""" - # Define the actual workflows to be run, this is identical to the python api - # but we're defining the workflows to be run via python instead of via a config file - workflows: list[PipelineWorkflowReference] = [ - # run my_workflow against the dataset, notice we're only using the "my_workflow" workflow - # and not the "my_unused_workflow" workflow - PipelineWorkflowReference( - name="my_workflow", # should match the name of the workflow in the custom_workflows dict above - config={ # pass in a config - # set the derive_output_column to be "col_1_multiplied", this will be passed to the workflow definition above - "derive_output_column": "col_1_multiplied" - }, - ), - ] - - # Grab the last result from the pipeline, should be our entity extraction - tables = [] - async for table in run_pipeline( - workflows, dataset=dataset, additional_workflows=custom_workflows - ): - tables.append(table) - pipeline_result = tables[-1] - - if pipeline_result.result is not None: - # Should look something like this: - # col1 col2 col_1_multiplied - # 0 2 4 8 - # 1 5 10 50 - print(pipeline_result.result) - else: - print("No results!") - - -if __name__ == "__main__": - asyncio.run(run_python()) - asyncio.run(run_with_config()) diff --git a/examples/entity_extraction/with_graph_intelligence/pipeline.yml b/examples/entity_extraction/with_graph_intelligence/pipeline.yml deleted file mode 100644 index ffa5bee843..0000000000 --- a/examples/entity_extraction/with_graph_intelligence/pipeline.yml +++ /dev/null @@ -1,16 +0,0 @@ -workflows: - - name: "entity_extraction" - config: - entity_extract: - strategy: - type: "graph_intelligence" - llm: - type: "openai_chat" - - # create a .env file in the same directory as this pipeline.yml file - # end add the following lines to it: - # EXAMPLE_OPENAI_API_KEY="YOUR_API_KEY" - api_key: !ENV ${EXAMPLE_OPENAI_API_KEY:None} # None is the default - model: !ENV ${EXAMPLE_OPENAI_MODEL:gpt-3.5-turbo} # gpt-3.5-turbo is the default - max_tokens: !ENV ${EXAMPLE_OPENAI_MAX_TOKENS:2500} # 2500 is the default - temperature: !ENV ${EXAMPLE_OPENAI_TEMPERATURE:0} # 0 is the default diff --git a/examples/entity_extraction/with_graph_intelligence/run.py b/examples/entity_extraction/with_graph_intelligence/run.py deleted file mode 100644 index 0ec54dda29..0000000000 --- a/examples/entity_extraction/with_graph_intelligence/run.py +++ /dev/null @@ -1,111 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License -import asyncio -import os - -from graphrag.index import run_pipeline, run_pipeline_with_config -from graphrag.index.config import PipelineCSVInputConfig, PipelineWorkflowReference -from graphrag.index.input import load_input - -sample_data_dir = os.path.join( - os.path.dirname(os.path.abspath(__file__)), "../../_sample_data/" -) - -shared_dataset = asyncio.run( - load_input( - PipelineCSVInputConfig( - file_pattern=".*\\.csv$", - base_dir=sample_data_dir, - source_column="author", - text_column="message", - timestamp_column="date(yyyyMMddHHmmss)", - timestamp_format="%Y%m%d%H%M%S", - title_column="message", - ), - ) -) - - -async def run_with_config(): - """Run a pipeline with a config file""" - # We're cheap, and this is an example, lets just do 10 - dataset = shared_dataset.head(10) - - # load pipeline.yml in this directory - config_path = os.path.join( - os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml" - ) - - # Grab the last result from the pipeline, should be our entity extraction - tables = [] - async for table in run_pipeline_with_config( - config_or_path=config_path, dataset=dataset - ): - tables.append(table) - pipeline_result = tables[-1] - - # Print the entities. This will be a row for each text unit, each with a list of entities, - # This should look pretty close to the python version, but since we're using an LLM - # it will be a little different depending on how it feels about the text - if pipeline_result.result is not None: - print(pipeline_result.result["entities"].to_list()) - else: - print("No results!") - - -async def run_python(): - if ( - "EXAMPLE_OPENAI_API_KEY" not in os.environ - and "OPENAI_API_KEY" not in os.environ - ): - msg = "Please set EXAMPLE_OPENAI_API_KEY or OPENAI_API_KEY environment variable to run this example" - raise Exception(msg) - - # We're cheap, and this is an example, lets just do 10 - dataset = shared_dataset.head(10) - - workflows: list[PipelineWorkflowReference] = [ - PipelineWorkflowReference( - name="entity_extraction", - config={ - "entity_extract": { - "strategy": { - "type": "graph_intelligence", - "llm": { - "type": "openai_chat", - "api_key": os.environ.get( - "EXAMPLE_OPENAI_API_KEY", - os.environ.get("OPENAI_API_KEY", None), - ), - "model": os.environ.get( - "EXAMPLE_OPENAI_MODEL", "gpt-3.5-turbo" - ), - "max_tokens": os.environ.get( - "EXAMPLE_OPENAI_MAX_TOKENS", 2500 - ), - "temperature": os.environ.get( - "EXAMPLE_OPENAI_TEMPERATURE", 0 - ), - }, - } - } - }, - ) - ] - - # Grab the last result from the pipeline, should be our entity extraction - tables = [] - async for table in run_pipeline(dataset=dataset, workflows=workflows): - tables.append(table) - pipeline_result = tables[-1] - - # Print the entities. This will be a row for each text unit, each with a list of entities - if pipeline_result.result is not None: - print(pipeline_result.result["entities"].to_list()) - else: - print("No results!") - - -if __name__ == "__main__": - asyncio.run(run_python()) - asyncio.run(run_with_config()) diff --git a/examples/entity_extraction/with_nltk/pipeline.yml b/examples/entity_extraction/with_nltk/pipeline.yml deleted file mode 100644 index 10984f3482..0000000000 --- a/examples/entity_extraction/with_nltk/pipeline.yml +++ /dev/null @@ -1,6 +0,0 @@ -workflows: - - name: "entity_extraction" - config: - entity_extract: - strategy: - type: "nltk" \ No newline at end of file diff --git a/examples/entity_extraction/with_nltk/run.py b/examples/entity_extraction/with_nltk/run.py deleted file mode 100644 index 68575ad67b..0000000000 --- a/examples/entity_extraction/with_nltk/run.py +++ /dev/null @@ -1,78 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License -import asyncio -import os - -from graphrag.index import run_pipeline, run_pipeline_with_config -from graphrag.index.config import PipelineCSVInputConfig, PipelineWorkflowReference -from graphrag.index.input import load_input - -sample_data_dir = os.path.join( - os.path.dirname(os.path.abspath(__file__)), "../../_sample_data/" -) -shared_dataset = asyncio.run( - load_input( - PipelineCSVInputConfig( - file_pattern=".*\\.csv$", - base_dir=sample_data_dir, - source_column="author", - text_column="message", - timestamp_column="date(yyyyMMddHHmmss)", - timestamp_format="%Y%m%d%H%M%S", - title_column="message", - ), - ) -) - - -async def run_with_config(): - """Run a pipeline with a config file""" - # We're cheap, and this is an example, lets just do 10 - dataset = shared_dataset.head(10) - - # load pipeline.yml in this directory - config_path = os.path.join( - os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml" - ) - - # Grab the last result from the pipeline, should be our entity extraction - tables = [] - async for table in run_pipeline_with_config( - config_or_path=config_path, dataset=dataset - ): - tables.append(table) - pipeline_result = tables[-1] - - # Print the entities. This will be a row for each text unit, each with a list of entities - if pipeline_result.result is not None: - print(pipeline_result.result["entities"].to_list()) - else: - print("No results!") - - -async def run_python(): - dataset = shared_dataset.head(10) - - workflows: list[PipelineWorkflowReference] = [ - PipelineWorkflowReference( - name="entity_extraction", - config={"entity_extract": {"strategy": {"type": "nltk"}}}, - ) - ] - - # Grab the last result from the pipeline, should be our entity extraction - tables = [] - async for table in run_pipeline(dataset=dataset, workflows=workflows): - tables.append(table) - pipeline_result = tables[-1] - - # Print the entities. This will be a row for each text unit, each with a list of entities - if pipeline_result.result is not None: - print(pipeline_result.result["entities"].to_list()) - else: - print("No results!") - - -if __name__ == "__main__": - asyncio.run(run_python()) - asyncio.run(run_with_config()) diff --git a/examples/interdependent_workflows/pipeline.yml b/examples/interdependent_workflows/pipeline.yml deleted file mode 100644 index 30bf81f9d2..0000000000 --- a/examples/interdependent_workflows/pipeline.yml +++ /dev/null @@ -1,23 +0,0 @@ -workflows: - - name: aggregate_workflow - steps: - - verb: "aggregate" # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/aggregate.py - args: - groupby: "type" - column: "col_multiplied" - to: "aggregated_output" - operation: "sum" - input: - source: "workflow:derive_workflow" # reference the derive_workflow, cause this one requires that one to run first - # Notice, these are out of order, the indexing engine will figure out the right order to run them in - - - name: derive_workflow - steps: - - verb: "derive" # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/derive.py - args: - column1: "col1" # from above - column2: "col2" # from above - to: "col_multiplied" # new column name - operator: "*" # multiply the two columns, - # Since we're trying to act on the dataset, we don't need explicitly to specify an input - # "input": { "source": "source" } # use the dataset as the input to this verb. This is the default, so you can omit it. \ No newline at end of file diff --git a/examples/interdependent_workflows/run.py b/examples/interdependent_workflows/run.py deleted file mode 100644 index 9b486fa0e7..0000000000 --- a/examples/interdependent_workflows/run.py +++ /dev/null @@ -1,102 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License -import asyncio -import os - -import pandas as pd - -from graphrag.index import run_pipeline, run_pipeline_with_config -from graphrag.index.config import PipelineWorkflowReference - -# Our fake dataset -dataset = pd.DataFrame([ - {"type": "A", "col1": 2, "col2": 4}, - {"type": "A", "col1": 5, "col2": 10}, - {"type": "A", "col1": 15, "col2": 26}, - {"type": "B", "col1": 6, "col2": 15}, -]) - - -async def run_with_config(): - """Run a pipeline with a config file""" - # load pipeline.yml in this directory - config_path = os.path.join( - os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml" - ) - - tables = [] - async for table in run_pipeline_with_config( - config_or_path=config_path, dataset=dataset - ): - tables.append(table) - pipeline_result = tables[-1] - - if pipeline_result.result is not None: - # Should look something like this, which should be identical to the python example: - # type aggregated_output - # 0 A 448 - # 1 B 90 - print(pipeline_result.result) - else: - print("No results!") - - -async def run_python(): - workflows: list[PipelineWorkflowReference] = [ - PipelineWorkflowReference( - name="aggregate_workflow", - steps=[ - { - "verb": "aggregate", # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/aggregate.py - "args": { - "groupby": "type", - "column": "col_multiplied", - "to": "aggregated_output", - "operation": "sum", - }, - "input": { - "source": "workflow:derive_workflow", # reference the derive_workflow, cause this one requires that one to run first - # Notice, these are out of order, the indexing engine will figure out the right order to run them in - }, - } - ], - ), - PipelineWorkflowReference( - name="derive_workflow", - steps=[ - { - # built-in verb - "verb": "derive", # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/derive.py - "args": { - "column1": "col1", # from above - "column2": "col2", # from above - "to": "col_multiplied", # new column name - "operator": "*", # multiply the two columns, - }, - # Since we're trying to act on the default input, we don't need explicitly to specify an input - } - ], - ), - ] - - # Grab the last result from the pipeline, should be our aggregate_workflow since it should be the last one to run - tables = [] - async for table in run_pipeline(dataset=dataset, workflows=workflows): - tables.append(table) - pipeline_result = tables[-1] - - if pipeline_result.result is not None: - # Should look something like this: - # type aggregated_output - # 0 A 448 - # 1 B 90 - - # This is because we first in "derive_workflow" we multiply col1 and col2 together, then in "aggregate_workflow" we sum them up by type - print(pipeline_result.result) - else: - print("No results!") - - -if __name__ == "__main__": - asyncio.run(run_python()) - asyncio.run(run_with_config()) diff --git a/examples/multiple_workflows/pipeline.yml b/examples/multiple_workflows/pipeline.yml deleted file mode 100644 index 1cbbaba748..0000000000 --- a/examples/multiple_workflows/pipeline.yml +++ /dev/null @@ -1,4 +0,0 @@ -workflows: - - !include workflows/workflow_1.yml - - !include workflows/workflow_2.yml - - !include workflows/workflow_3.yml \ No newline at end of file diff --git a/examples/multiple_workflows/run.py b/examples/multiple_workflows/run.py deleted file mode 100644 index a583632789..0000000000 --- a/examples/multiple_workflows/run.py +++ /dev/null @@ -1,43 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License -import asyncio -import os - -from graphrag.index import run_pipeline_with_config -from graphrag.index.config import PipelineCSVInputConfig -from graphrag.index.input import load_input - -sample_data_dir = os.path.join( - os.path.dirname(os.path.abspath(__file__)), "./../_sample_data/" -) - - -async def run_with_config(): - dataset = await load_input( - PipelineCSVInputConfig( - file_pattern=".*\\.csv$", - base_dir=sample_data_dir, - source_column="author", - text_column="message", - timestamp_column="date(yyyyMMddHHmmss)", - timestamp_format="%Y%m%d%H%M%S", - title_column="message", - ), - ) - - # We're cheap, and this is an example, lets just do 10 - dataset = dataset.head(2) - - # run the pipeline with the config, and override the dataset with the one we just created - # and grab the last result from the pipeline, should be the last workflow that was run (our nodes) - pipeline_path = os.path.join( - os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml" - ) - - async for result in run_pipeline_with_config(pipeline_path, dataset=dataset): - print(f"Workflow {result.workflow} result\n: ") - print(result.result) - - -if __name__ == "__main__": - asyncio.run(run_with_config()) diff --git a/examples/multiple_workflows/workflows/shared/shared_fill_value.txt b/examples/multiple_workflows/workflows/shared/shared_fill_value.txt deleted file mode 100644 index 5f790cbca9..0000000000 --- a/examples/multiple_workflows/workflows/shared/shared_fill_value.txt +++ /dev/null @@ -1 +0,0 @@ -value_from_shared_file \ No newline at end of file diff --git a/examples/multiple_workflows/workflows/workflow_1.yml b/examples/multiple_workflows/workflows/workflow_1.yml deleted file mode 100644 index 9ed87e1c43..0000000000 --- a/examples/multiple_workflows/workflows/workflow_1.yml +++ /dev/null @@ -1,6 +0,0 @@ -name: workflow_1 -steps: - - verb: fill - args: - to: "col_workflow_1" - value: 1 diff --git a/examples/multiple_workflows/workflows/workflow_2.yml b/examples/multiple_workflows/workflows/workflow_2.yml deleted file mode 100644 index c08147f2cb..0000000000 --- a/examples/multiple_workflows/workflows/workflow_2.yml +++ /dev/null @@ -1,17 +0,0 @@ -name: workflow_2 -steps: - - verb: fill - args: - to: "col_workflow_2" - value: 2 - input: - - # workflow_2 is dependent on workflow_1 - # so in workflow_2 output, you'll also see the output from workflow_1 - source: "workflow:workflow_1" - - # Example of pulling in values from a shared file - - verb: fill - args: - to: "col_from_shared_file" - value: !include ./shared/shared_fill_value.txt diff --git a/examples/multiple_workflows/workflows/workflow_3.yml b/examples/multiple_workflows/workflows/workflow_3.yml deleted file mode 100644 index 1a65f2d6b3..0000000000 --- a/examples/multiple_workflows/workflows/workflow_3.yml +++ /dev/null @@ -1,6 +0,0 @@ -name: workflow_3 -steps: - - verb: fill - args: - to: "col_workflow_3" - value: 3 diff --git a/examples/single_verb/run.py b/examples/single_verb/run.py index 4c9f522521..99f8137a98 100644 --- a/examples/single_verb/run.py +++ b/examples/single_verb/run.py @@ -5,8 +5,8 @@ import pandas as pd -from graphrag.index import run_pipeline, run_pipeline_with_config -from graphrag.index.config import PipelineWorkflowReference +from graphrag.index.config.workflow import PipelineWorkflowReference +from graphrag.index.run import run_pipeline, run_pipeline_with_config # our fake dataset dataset = pd.DataFrame([{"col1": 2, "col2": 4}, {"col1": 5, "col2": 10}]) @@ -43,7 +43,7 @@ async def run_python(): steps=[ { # built-in verb - "verb": "derive", # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/derive.py + "verb": "derive", # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/verbs/derive.py "args": { "column1": "col1", # from above "column2": "col2", # from above diff --git a/examples/use_built_in_workflows/run.py b/examples/use_built_in_workflows/run.py index def3a0a67e..7212126d0b 100644 --- a/examples/use_built_in_workflows/run.py +++ b/examples/use_built_in_workflows/run.py @@ -3,9 +3,10 @@ import asyncio import os -from graphrag.index import run_pipeline, run_pipeline_with_config -from graphrag.index.config import PipelineCSVInputConfig, PipelineWorkflowReference -from graphrag.index.input import load_input +from graphrag.index.config.input import PipelineCSVInputConfig +from graphrag.index.config.workflow import PipelineWorkflowReference +from graphrag.index.input.load_input import load_input +from graphrag.index.run import run_pipeline, run_pipeline_with_config sample_data_dir = os.path.join( os.path.dirname(os.path.abspath(__file__)), "../_sample_data/" diff --git a/examples/various_levels_of_configs/pipelines/workflows_and_inputs.yml b/examples/various_levels_of_configs/pipelines/workflows_and_inputs.yml deleted file mode 100644 index 0a653831f2..0000000000 --- a/examples/various_levels_of_configs/pipelines/workflows_and_inputs.yml +++ /dev/null @@ -1,64 +0,0 @@ -input: - file_type: csv - base_dir: ../../_sample_data - file_pattern: .*\.csv$ - source_column: "author" - text_column: "message" - timestamp_column: "date(yyyyMMddHHmmss)" - timestamp_format: "%Y%m%d%H%M%S" - title_column: "message" - - # Limit to 10, we're not rich - post_process: - - verb: sample - args: - size: 10 - input: - source: source - -workflows: - - # This workflow reference here is only necessary - # because we want to customize the how the entity_extraction workflow is configured - # otherwise, it can be omitted, but you're stuck with the default configuration for entity_extraction - - name: entity_extraction - config: - entity_extract: - strategy: - type: graph_intelligence - llm: - type: openai_chat - api_key: !ENV ${EXAMPLE_OPENAI_API_KEY} - model: !ENV ${EXAMPLE_OPENAI_MODEL:gpt-3.5-turbo} - max_tokens: !ENV ${EXAMPLE_OPENAI_MAX_TOKENS:2500} - temperature: !ENV ${EXAMPLE_OPENAI_TEMPERATURE:0} - - - name: entity_graph - config: - cluster_graph: - strategy: - type: leiden - embed_graph: - strategy: - type: node2vec - num_walks: 10 - walk_length: 40 - window_size: 2 - iterations: 3 - random_seed: 597832 - layout_graph: - strategy: - type: umap - - # This is an anonymous workflow, it doesn't have a name - - steps: - - # Unpack the nodes from the graph - - verb: graph.unpack - args: - column: positioned_graph - type: nodes - input: - - # This is saying use the output of the entity_graph workflow as the input to this step - source: workflow:entity_graph \ No newline at end of file diff --git a/examples/various_levels_of_configs/pipelines/workflows_only.yml b/examples/various_levels_of_configs/pipelines/workflows_only.yml deleted file mode 100644 index 2c3c43de6e..0000000000 --- a/examples/various_levels_of_configs/pipelines/workflows_only.yml +++ /dev/null @@ -1,46 +0,0 @@ -workflows: - - # This workflow reference here is only necessary - # because we want to customize the how the entity_extraction workflow is configured - # otherwise, it can be omitted, but you're stuck with the default configuration for entity_extraction - - name: entity_extraction - config: - entity_extract: - strategy: - type: graph_intelligence - llm: - type: openai_chat - api_key: !ENV ${EXAMPLE_OPENAI_API_KEY} - model: !ENV ${EXAMPLE_OPENAI_MODEL:gpt-3.5-turbo} - max_tokens: !ENV ${EXAMPLE_OPENAI_MAX_TOKENS:2500} - temperature: !ENV ${EXAMPLE_OPENAI_TEMPERATURE:0} - - - name: entity_graph - config: - cluster_graph: - strategy: - type: leiden - embed_graph: - strategy: - type: node2vec - num_walks: 10 - walk_length: 40 - window_size: 2 - iterations: 3 - random_seed: 597832 - layout_graph: - strategy: - type: umap - - # This is an anonymous workflow, it doesn't have a name - - steps: - - # Unpack the nodes from the graph - - verb: graph.unpack - args: - column: positioned_graph - type: nodes - input: - - # This is saying use the output of the entity_graph workflow as the input to this step - source: workflow:entity_graph \ No newline at end of file diff --git a/examples/various_levels_of_configs/workflows_and_inputs.py b/examples/various_levels_of_configs/workflows_and_inputs.py deleted file mode 100644 index 87c7c2f8d4..0000000000 --- a/examples/various_levels_of_configs/workflows_and_inputs.py +++ /dev/null @@ -1,40 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License -import asyncio -import os - -from graphrag.index import run_pipeline_with_config - - -async def main(): - if ( - "EXAMPLE_OPENAI_API_KEY" not in os.environ - and "OPENAI_API_KEY" not in os.environ - ): - msg = "Please set EXAMPLE_OPENAI_API_KEY or OPENAI_API_KEY environment variable to run this example" - raise Exception(msg) - - # run the pipeline with the config, and override the dataset with the one we just created - # and grab the last result from the pipeline, should be our entity extraction - pipeline_path = os.path.join( - os.path.dirname(os.path.abspath(__file__)), - "./pipelines/workflows_and_inputs.yml", - ) - - # run the pipeline with the config, and override the dataset with the one we just created - # and grab the last result from the pipeline, should be the last workflow that was run (our nodes) - tables = [] - async for table in run_pipeline_with_config(pipeline_path): - tables.append(table) - pipeline_result = tables[-1] - - # The output will contain a list of positioned nodes - if pipeline_result.result is not None: - top_nodes = pipeline_result.result.head(10) - print("pipeline result", top_nodes) - else: - print("No results!") - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/examples/various_levels_of_configs/workflows_and_inputs_with_custom_handlers.py b/examples/various_levels_of_configs/workflows_and_inputs_with_custom_handlers.py deleted file mode 100644 index 880c72ad91..0000000000 --- a/examples/various_levels_of_configs/workflows_and_inputs_with_custom_handlers.py +++ /dev/null @@ -1,131 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License -import asyncio -import os -from typing import Any - -from datashaper import NoopWorkflowCallbacks, Progress - -from graphrag.index import run_pipeline_with_config -from graphrag.index.cache import InMemoryCache, PipelineCache -from graphrag.index.storage import MemoryPipelineStorage - - -async def main(): - if ( - "EXAMPLE_OPENAI_API_KEY" not in os.environ - and "OPENAI_API_KEY" not in os.environ - ): - msg = "Please set EXAMPLE_OPENAI_API_KEY or OPENAI_API_KEY environment variable to run this example" - raise Exception(msg) - - # run the pipeline with the config, and override the dataset with the one we just created - # and grab the last result from the pipeline, should be our entity extraction - pipeline_path = os.path.join( - os.path.dirname(os.path.abspath(__file__)), - "./pipelines/workflows_and_inputs.yml", - ) - - # Create our custom storage - custom_storage = ExampleStorage() - - # Create our custom reporter - custom_reporter = ExampleReporter() - - # Create our custom cache - custom_cache = ExampleCache() - - # run the pipeline with the config, and override the dataset with the one we just created - # and grab the last result from the pipeline, should be the last workflow that was run (our nodes) - pipeline_result = [] - async for result in run_pipeline_with_config( - pipeline_path, - storage=custom_storage, - callbacks=custom_reporter, - cache=custom_cache, - ): - pipeline_result.append(result) - pipeline_result = pipeline_result[-1] - - # The output will contain a list of positioned nodes - if pipeline_result.result is not None: - top_nodes = pipeline_result.result.head(10) - print("pipeline result", top_nodes) - else: - print("No results!") - - -class ExampleStorage(MemoryPipelineStorage): - """Example of a custom storage handler""" - - async def get( - self, key: str, as_bytes: bool | None = None, encoding: str | None = None - ) -> Any: - print(f"ExampleStorage.get {key}") - return await super().get(key, as_bytes) - - async def set( - self, key: str, value: str | bytes | None, encoding: str | None = None - ) -> None: - print(f"ExampleStorage.set {key}") - return await super().set(key, value) - - async def has(self, key: str) -> bool: - print(f"ExampleStorage.has {key}") - return await super().has(key) - - async def delete(self, key: str) -> None: - print(f"ExampleStorage.delete {key}") - return await super().delete(key) - - async def clear(self) -> None: - print("ExampleStorage.clear") - return await super().clear() - - -class ExampleCache(InMemoryCache): - """Example of a custom cache handler""" - - async def get(self, key: str) -> Any: - print(f"ExampleCache.get {key}") - return await super().get(key) - - async def set(self, key: str, value: Any, debug_data: dict | None = None) -> None: - print(f"ExampleCache.set {key}") - return await super().set(key, value, debug_data) - - async def has(self, key: str) -> bool: - print(f"ExampleCache.has {key}") - return await super().has(key) - - async def delete(self, key: str) -> None: - print(f"ExampleCache.delete {key}") - return await super().delete(key) - - async def clear(self) -> None: - print("ExampleCache.clear") - return await super().clear() - - def child(self, name: str) -> PipelineCache: - print(f"ExampleCache.child {name}") - return ExampleCache(name) - - -class ExampleReporter(NoopWorkflowCallbacks): - """Example of a custom reporter. This will print out all of the status updates from the pipeline.""" - - def progress(self, progress: Progress): - print("ExampleReporter.progress: ", progress) - - def error(self, message: str, details: dict[str, Any] | None = None): - print("ExampleReporter.error: ", message) - - def warning(self, message: str, details: dict[str, Any] | None = None): - print("ExampleReporter.warning: ", message) - - def log(self, message: str, details: dict[str, Any] | None = None): - print("ExampleReporter.log: ", message) - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/examples/various_levels_of_configs/workflows_only.py b/examples/various_levels_of_configs/workflows_only.py deleted file mode 100644 index 192297eb8f..0000000000 --- a/examples/various_levels_of_configs/workflows_only.py +++ /dev/null @@ -1,59 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License -import asyncio -import os - -from graphrag.index import run_pipeline_with_config -from graphrag.index.config import PipelineCSVInputConfig -from graphrag.index.input import load_input - -sample_data_dir = os.path.join( - os.path.dirname(os.path.abspath(__file__)), "../_sample_data/" -) - - -async def main(): - if ( - "EXAMPLE_OPENAI_API_KEY" not in os.environ - and "OPENAI_API_KEY" not in os.environ - ): - msg = "Please set EXAMPLE_OPENAI_API_KEY or OPENAI_API_KEY environment variable to run this example" - raise Exception(msg) - - dataset = await load_input( - PipelineCSVInputConfig( - file_pattern=".*\\.csv$", - base_dir=sample_data_dir, - source_column="author", - text_column="message", - timestamp_column="date(yyyyMMddHHmmss)", - timestamp_format="%Y%m%d%H%M%S", - title_column="message", - ), - ) - - # We're cheap, and this is an example, lets just do 10 - dataset = dataset.head(10) - - # run the pipeline with the config, and override the dataset with the one we just created - # and grab the last result from the pipeline, should be the last workflow that was run (our nodes) - pipeline_path = os.path.join( - os.path.dirname(os.path.abspath(__file__)), "./pipelines/workflows_only.yml" - ) - tables = [] - async for table in run_pipeline_with_config(pipeline_path, dataset=dataset): - tables.append(table) - pipeline_result = tables[-1] - - # The output will contain a list of positioned nodes - if pipeline_result.result is not None: - top_nodes = pipeline_result.result.head(10) - print( - "pipeline result\ncols: ", pipeline_result.result.columns, "\n", top_nodes - ) - else: - print("No results!") - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/examples_notebooks/community_contrib/README.md b/examples_notebooks/community_contrib/README.md new file mode 100644 index 0000000000..0915dc1a60 --- /dev/null +++ b/examples_notebooks/community_contrib/README.md @@ -0,0 +1,5 @@ +## Disclaimer + +This folder contains community contributed notebooks that are not officially supported by the GraphRAG team. The notebooks are provided as-is and are not guaranteed to work with the latest version of GraphRAG. If you have any questions or issues, please reach out to the author of the notebook directly. + +For more information on how to contribute to the GraphRAG project, please refer to the [contribution guidelines](https://github.com/microsoft/graphrag/blob/main/CONTRIBUTING.md) diff --git a/examples_notebooks/community_contrib/neo4j/graphrag_import_neo4j_cypher.ipynb b/examples_notebooks/community_contrib/neo4j/graphrag_import_neo4j_cypher.ipynb new file mode 100644 index 0000000000..1553b0f692 --- /dev/null +++ b/examples_notebooks/community_contrib/neo4j/graphrag_import_neo4j_cypher.ipynb @@ -0,0 +1,1214 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "b4fea928", + "metadata": {}, + "outputs": [], + "source": [ + "# Copyright (c) 2024 Microsoft Corporation.\n", + "# Licensed under the MIT License." + ] + }, + { + "cell_type": "markdown", + "id": "0c4bc9ba", + "metadata": {}, + "source": [ + "# Neo4j Import of GraphRAG Result Parquet files\n", + "\n", + "This notebook imports the results of the GraphRAG indexing process into the Neo4j Graph database for further processing, analysis or visualization. \n", + "\n", + "You can also build your own GenAI applications using Neo4j and a number of RAG strategies with LangChain, LlamaIndex, Haystack, and many other frameworks.\n", + "See: https://neo4j.com/labs/genai-ecosystem\n", + "\n", + "Here is what the end result looks like:\n", + "\n", + "![](https://dev.assets.neo4j.com/wp-content/uploads/graphrag-neo4j-visualization.png)" + ] + }, + { + "cell_type": "markdown", + "id": "3924e246", + "metadata": {}, + "source": [ + "## How does it work?\n", + "\n", + "The notebook loads the parquet files from the `output` folder of your indexing process and loads them into Pandas dataframes.\n", + "It then uses a batching approach to send a slice of the data into Neo4j to create nodes and relationships and add relevant properties. The id-arrays on most entities are turned into relationships. \n", + "\n", + "All operations use MERGE, so they are idempotent, and you can run the script multiple times.\n", + "\n", + "If you need to clean out the database, you can run the following statement\n", + "\n", + "```cypher\n", + "MATCH (n)\n", + "CALL { WITH n DETACH DELETE n } IN TRANSACTIONS OF 25000 ROWS;\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "adca1803", + "metadata": {}, + "outputs": [], + "source": [ + "GRAPHRAG_FOLDER = \"PATH_TO_OUTPUT/artifacts\"" + ] + }, + { + "cell_type": "markdown", + "id": "7fb27b941602401d91542211134fc71a", + "metadata": {}, + "source": [ + "### Depedendencies\n", + "\n", + "We only need Pandas and the neo4j Python driver with the rust extension for faster network transport." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b57beec0", + "metadata": {}, + "outputs": [], + "source": [ + "%pip install --quiet pandas neo4j-rust-ext" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "3eeee95f-e4f2-4052-94fb-a5dc8ab542ae", + "metadata": {}, + "outputs": [], + "source": [ + "import time\n", + "\n", + "import pandas as pd\n", + "from neo4j import GraphDatabase" + ] + }, + { + "cell_type": "markdown", + "id": "307dd2f4", + "metadata": {}, + "source": [ + "## Neo4j Installation\n", + "\n", + "You can create a free instance of Neo4j [online](https://console.neo4j.io). You get a credentials file that you can use for the connection credentials. You can also get an instance in any of the cloud marketplaces.\n", + "\n", + "If you want to install Neo4j locally either use [Neo4j Desktop](https://neo4j.com/download) or \n", + "the official Docker image: `docker run -e NEO4J_AUTH=neo4j/password -p 7687:7687 -p 7474:7474 neo4j` " + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "b6c15443-4acb-4f91-88ea-4e08abaa4c29", + "metadata": {}, + "outputs": [], + "source": [ + "NEO4J_URI = \"neo4j://localhost\" # or neo4j+s://xxxx.databases.neo4j.io\n", + "NEO4J_USERNAME = \"neo4j\"\n", + "NEO4J_PASSWORD = \"\" # your password\n", + "NEO4J_DATABASE = \"neo4j\"\n", + "\n", + "# Create a Neo4j driver\n", + "driver = GraphDatabase.driver(NEO4J_URI, auth=(NEO4J_USERNAME, NEO4J_PASSWORD))" + ] + }, + { + "cell_type": "markdown", + "id": "70f37ab6", + "metadata": {}, + "source": [ + "## Batched Import\n", + "\n", + "The batched import function takes a Cypher insert statement (needs to use the variable `value` for the row) and a dataframe to import.\n", + "It will send by default 1k rows at a time as query parameter to the database to be inserted." + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "d787bf7b-ac9b-4bfb-b140-a50a3fd205c5", + "metadata": {}, + "outputs": [], + "source": [ + "def batched_import(statement, df, batch_size=1000):\n", + " \"\"\"\n", + " Import a dataframe into Neo4j using a batched approach.\n", + "\n", + " Parameters: statement is the Cypher query to execute, df is the dataframe to import, and batch_size is the number of rows to import in each batch.\n", + " \"\"\"\n", + " total = len(df)\n", + " start_s = time.time()\n", + " for start in range(0, total, batch_size):\n", + " batch = df.iloc[start : min(start + batch_size, total)]\n", + " result = driver.execute_query(\n", + " \"UNWIND $rows AS value \" + statement,\n", + " rows=batch.to_dict(\"records\"),\n", + " database_=NEO4J_DATABASE,\n", + " )\n", + " print(result.summary.counters)\n", + " print(f\"{total} rows in {time.time() - start_s} s.\")\n", + " return total" + ] + }, + { + "cell_type": "markdown", + "id": "0fb45f42", + "metadata": {}, + "source": [ + "## Indexes and Constraints\n", + "\n", + "Indexes in Neo4j are only used to find the starting points for graph queries, e.g. quickly finding two nodes to connect.\n", + "Constraints exist to avoid duplicates, we create them mostly on id's of Entity types.\n", + "\n", + "We use some Types as markers with two underscores before and after to distinguish them from the actual entity types.\n", + "\n", + "The default relationship type here is `RELATED` but we could also infer a real relationship-type from the description or the types of the start and end-nodes.\n", + "\n", + "* `__Entity__`\n", + "* `__Document__`\n", + "* `__Chunk__`\n", + "* `__Community__`\n", + "* `__Covariate__`" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "ed7f212e-9148-424c-adc6-d81db9f8e5a5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "create constraint chunk_id if not exists for (c:__Chunk__) require c.id is unique\n", + "\n", + "create constraint document_id if not exists for (d:__Document__) require d.id is unique\n", + "\n", + "create constraint entity_id if not exists for (c:__Community__) require c.community is unique\n", + "\n", + "create constraint entity_id if not exists for (e:__Entity__) require e.id is unique\n", + "\n", + "create constraint entity_title if not exists for (e:__Entity__) require e.name is unique\n", + "\n", + "create constraint entity_title if not exists for (e:__Covariate__) require e.title is unique\n", + "\n", + "create constraint related_id if not exists for ()-[rel:RELATED]->() require rel.id is unique\n" + ] + } + ], + "source": [ + "# create constraints, idempotent operation\n", + "\n", + "statements = \"\"\"\n", + "create constraint chunk_id if not exists for (c:__Chunk__) require c.id is unique;\n", + "create constraint document_id if not exists for (d:__Document__) require d.id is unique;\n", + "create constraint entity_id if not exists for (c:__Community__) require c.community is unique;\n", + "create constraint entity_id if not exists for (e:__Entity__) require e.id is unique;\n", + "create constraint entity_title if not exists for (e:__Entity__) require e.name is unique;\n", + "create constraint entity_title if not exists for (e:__Covariate__) require e.title is unique;\n", + "create constraint related_id if not exists for ()-[rel:RELATED]->() require rel.id is unique;\n", + "\"\"\".split(\";\")\n", + "\n", + "for statement in statements:\n", + " if len((statement or \"\").strip()) > 0:\n", + " print(statement)\n", + " driver.execute_query(statement)" + ] + }, + { + "cell_type": "markdown", + "id": "beea073b", + "metadata": {}, + "source": [ + "## Import Process\n", + "\n", + "### Importing the Documents\n", + "\n", + "We're loading the parquet file for the documents and create nodes with their ids and add the title property.\n", + "We don't need to store text_unit_ids as we can create the relationships and the text content is also contained in the chunks." + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "1ba023e7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0c305886e4aa2f6efcf64b57762777055book.txt
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" + ], + "text/plain": [ + " id title\n", + "0 c305886e4aa2f6efcf64b57762777055 book.txt" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "doc_df = pd.read_parquet(\n", + " f\"{GRAPHRAG_FOLDER}/create_final_documents.parquet\", columns=[\"id\", \"title\"]\n", + ")\n", + "doc_df.head(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "96391c15", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'_contains_updates': True, 'labels_added': 1, 'nodes_created': 1, 'properties_set': 2}\n", + "1 rows in 0.05211496353149414 s.\n" + ] + }, + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Import documents\n", + "statement = \"\"\"\n", + "MERGE (d:__Document__ {id:value.id})\n", + "SET d += value {.title}\n", + "\"\"\"\n", + "\n", + "batched_import(statement, doc_df)" + ] + }, + { + "cell_type": "markdown", + "id": "f97bbadb", + "metadata": {}, + "source": [ + "### Loading Text Units\n", + "\n", + "We load the text units, create a node per id and set the text and number of tokens.\n", + "Then we connect them to the documents that we created before." + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "0d825626", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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idtextn_tokensdocument_ids
0680dd6d2a970a49082fa4f34bf63a34eThe Project Gutenberg eBook of A Christmas Ca...300[c305886e4aa2f6efcf64b57762777055]
195f1f8f5bdbf0bee3a2c6f2f4a4907f6THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL...300[c305886e4aa2f6efcf64b57762777055]
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" + ], + "text/plain": [ + " id \\\n", + "0 680dd6d2a970a49082fa4f34bf63a34e \n", + "1 95f1f8f5bdbf0bee3a2c6f2f4a4907f6 \n", + "\n", + " text n_tokens \\\n", + "0 The Project Gutenberg eBook of A Christmas Ca... 300 \n", + "1 THE PROJECT GUTENBERG EBOOK A CHRISTMAS CAROL... 300 \n", + "\n", + " document_ids \n", + "0 [c305886e4aa2f6efcf64b57762777055] \n", + "1 [c305886e4aa2f6efcf64b57762777055] " + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "text_df = pd.read_parquet(\n", + " f\"{GRAPHRAG_FOLDER}/create_final_text_units.parquet\",\n", + " columns=[\"id\", \"text\", \"n_tokens\", \"document_ids\"],\n", + ")\n", + "text_df.head(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "ffd3d380-8710-46f5-b90a-04ed8482192c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'_contains_updates': True, 'relationships_created': 231, 'properties_set': 462}\n", + "231 rows in 0.05993008613586426 s.\n" + ] + }, + { + "data": { + "text/plain": [ + "231" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "statement = \"\"\"\n", + "MERGE (c:__Chunk__ {id:value.id})\n", + "SET c += value {.text, .n_tokens}\n", + "WITH c, value\n", + "UNWIND value.document_ids AS document\n", + "MATCH (d:__Document__ {id:document})\n", + "MERGE (c)-[:PART_OF]->(d)\n", + "\"\"\"\n", + "\n", + "batched_import(statement, text_df)" + ] + }, + { + "cell_type": "markdown", + "id": "f01b2094", + "metadata": {}, + "source": [ + "### Loading Nodes\n", + "\n", + "For the nodes we store id, name, description, embedding (if available), human readable id." + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "2392f9e9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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nametypedescriptionhuman_readable_ididdescription_embeddingtext_unit_ids
0\"PROJECT GUTENBERG\"\"ORGANIZATION\"Project Gutenberg is a pioneering organization...0b45241d70f0e43fca764df95b2b81f77[-0.020793898031115532, 0.02951139025390148, 0...[01e84646075b255eab0a34d872336a89, 10bab8e9773...
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" + ], + "text/plain": [ + " name type \\\n", + "0 \"PROJECT GUTENBERG\" \"ORGANIZATION\" \n", + "1 \"UNITED STATES\" \"GEO\" \n", + "\n", + " description human_readable_id \\\n", + "0 Project Gutenberg is a pioneering organization... 0 \n", + "1 The United States is prominently recognized fo... 1 \n", + "\n", + " id \\\n", + "0 b45241d70f0e43fca764df95b2b81f77 \n", + "1 4119fd06010c494caa07f439b333f4c5 \n", + "\n", + " description_embedding \\\n", + "0 [-0.020793898031115532, 0.02951139025390148, 0... \n", + "1 [-0.009704762138426304, 0.013335365802049637, ... \n", + "\n", + " text_unit_ids \n", + "0 [01e84646075b255eab0a34d872336a89, 10bab8e9773... \n", + "1 [01e84646075b255eab0a34d872336a89, 28f242c4515... " + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "entity_df = pd.read_parquet(\n", + " f\"{GRAPHRAG_FOLDER}/create_final_entities.parquet\",\n", + " columns=[\n", + " \"name\",\n", + " \"type\",\n", + " \"description\",\n", + " \"human_readable_id\",\n", + " \"id\",\n", + " \"description_embedding\",\n", + " \"text_unit_ids\",\n", + " ],\n", + ")\n", + "entity_df.head(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "1d038114-0714-48ee-a48a-c421cd539661", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'_contains_updates': True, 'properties_set': 831}\n", + "277 rows in 0.6978070735931396 s.\n" + ] + }, + { + "data": { + "text/plain": [ + "277" + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "entity_statement = \"\"\"\n", + "MERGE (e:__Entity__ {id:value.id})\n", + "SET e += value {.human_readable_id, .description, name:replace(value.name,'\"','')}\n", + "WITH e, value\n", + "CALL db.create.setNodeVectorProperty(e, \"description_embedding\", value.description_embedding)\n", + "CALL apoc.create.addLabels(e, case when coalesce(value.type,\"\") = \"\" then [] else [apoc.text.upperCamelCase(replace(value.type,'\"',''))] end) yield node\n", + "UNWIND value.text_unit_ids AS text_unit\n", + "MATCH (c:__Chunk__ {id:text_unit})\n", + "MERGE (c)-[:HAS_ENTITY]->(e)\n", + "\"\"\"\n", + "\n", + "batched_import(entity_statement, entity_df)" + ] + }, + { + "cell_type": "markdown", + "id": "018d4f87", + "metadata": {}, + "source": [ + "### Import Relationships\n", + "\n", + "For the relationships we find the source and target node by name, using the base `__Entity__` type.\n", + "After creating the `RELATED` relationships, we set the description as attribute." + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "b347a047", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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sourcetargetidrankweighthuman_readable_iddescriptiontext_unit_ids
0\"PROJECT GUTENBERG\"\"A CHRISTMAS CAROL\"b84d71ed9c3b45819eb3205fd28e13a0201.00\"Project Gutenberg is responsible for releasin...[680dd6d2a970a49082fa4f34bf63a34e]
1\"PROJECT GUTENBERG\"\"SUZANNE SHELL\"b0b464bc92a541e48547fe9738378dab151.01\"Suzanne Shell produced the eBook version of '...[680dd6d2a970a49082fa4f34bf63a34e]
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" + ], + "text/plain": [ + " source target id \\\n", + "0 \"PROJECT GUTENBERG\" \"A CHRISTMAS CAROL\" b84d71ed9c3b45819eb3205fd28e13a0 \n", + "1 \"PROJECT GUTENBERG\" \"SUZANNE SHELL\" b0b464bc92a541e48547fe9738378dab \n", + "\n", + " rank weight human_readable_id \\\n", + "0 20 1.0 0 \n", + "1 15 1.0 1 \n", + "\n", + " description \\\n", + "0 \"Project Gutenberg is responsible for releasin... \n", + "1 \"Suzanne Shell produced the eBook version of '... \n", + "\n", + " text_unit_ids \n", + "0 [680dd6d2a970a49082fa4f34bf63a34e] \n", + "1 [680dd6d2a970a49082fa4f34bf63a34e] " + ] + }, + "execution_count": 71, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rel_df = pd.read_parquet(\n", + " f\"{GRAPHRAG_FOLDER}/create_final_relationships.parquet\",\n", + " columns=[\n", + " \"source\",\n", + " \"target\",\n", + " \"id\",\n", + " \"rank\",\n", + " \"weight\",\n", + " \"human_readable_id\",\n", + " \"description\",\n", + " \"text_unit_ids\",\n", + " ],\n", + ")\n", + "rel_df.head(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "27900c01-89e1-4dec-9d5c-c07317c68baf", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'_contains_updates': True, 'properties_set': 1710}\n", + "342 rows in 0.14740705490112305 s.\n" + ] + }, + { + "data": { + "text/plain": [ + "342" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rel_statement = \"\"\"\n", + " MATCH (source:__Entity__ {name:replace(value.source,'\"','')})\n", + " MATCH (target:__Entity__ {name:replace(value.target,'\"','')})\n", + " // not necessary to merge on id as there is only one relationship per pair\n", + " MERGE (source)-[rel:RELATED {id: value.id}]->(target)\n", + " SET rel += value {.rank, .weight, .human_readable_id, .description, .text_unit_ids}\n", + " RETURN count(*) as createdRels\n", + "\"\"\"\n", + "\n", + "batched_import(rel_statement, rel_df)" + ] + }, + { + "cell_type": "markdown", + "id": "e6365dd7", + "metadata": {}, + "source": [ + "### Importing Communities\n", + "\n", + "For communities we import their id, title, level.\n", + "We connect the `__Community__` nodes to the start and end nodes of the relationships they refer to.\n", + "\n", + "Connecting them to the chunks they orignate from is optional, as the entites are already connected to the chunks." + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "c2fab66c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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idleveltitletext_unit_idsrelationship_ids
020Community 2[0546d296a4d3bb0486bd0c94c01dc9be,0d6bc6e701a0...[ba481175ee1d4329bf07757a30abd3a1, 8d8da35190b...
140Community 4[054bdcba0a3690b43609d9226a47f84d,3a450ed2b7fb...[929f30875e1744b49e7b416eaf5a790c, 4920fda0318...
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" + ], + "text/plain": [ + " id level title text_unit_ids \\\n", + "0 2 0 Community 2 [0546d296a4d3bb0486bd0c94c01dc9be,0d6bc6e701a0... \n", + "1 4 0 Community 4 [054bdcba0a3690b43609d9226a47f84d,3a450ed2b7fb... \n", + "\n", + " relationship_ids \n", + "0 [ba481175ee1d4329bf07757a30abd3a1, 8d8da35190b... \n", + "1 [929f30875e1744b49e7b416eaf5a790c, 4920fda0318... " + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "community_df = pd.read_parquet(\n", + " f\"{GRAPHRAG_FOLDER}/create_final_communities.parquet\",\n", + " columns=[\"id\", \"level\", \"title\", \"text_unit_ids\", \"relationship_ids\"],\n", + ")\n", + "\n", + "community_df.head(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "1351f7e3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'_contains_updates': True, 'properties_set': 94}\n", + "47 rows in 0.07877922058105469 s.\n" + ] + }, + { + "data": { + "text/plain": [ + "47" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "statement = \"\"\"\n", + "MERGE (c:__Community__ {community:value.id})\n", + "SET c += value {.level, .title}\n", + "/*\n", + "UNWIND value.text_unit_ids as text_unit_id\n", + "MATCH (t:__Chunk__ {id:text_unit_id})\n", + "MERGE (c)-[:HAS_CHUNK]->(t)\n", + "WITH distinct c, value\n", + "*/\n", + "WITH *\n", + "UNWIND value.relationship_ids as rel_id\n", + "MATCH (start:__Entity__)-[:RELATED {id:rel_id}]->(end:__Entity__)\n", + "MERGE (start)-[:IN_COMMUNITY]->(c)\n", + "MERGE (end)-[:IN_COMMUNITY]->(c)\n", + "RETURn count(distinct c) as createdCommunities\n", + "\"\"\"\n", + "\n", + "batched_import(statement, community_df)" + ] + }, + { + "cell_type": "markdown", + "id": "dd9adf50", + "metadata": {}, + "source": [ + "### Importing Community Reports\n", + "\n", + "Fo the community reports we create nodes for each communitiy set the id, community, level, title, summary, rank, and rank_explanation and connect them to the entities they are about.\n", + "For the findings we create the findings in context of the communities." + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "1be9e7a9-69ee-406b-bce5-95a9c41ecffe", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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idcommunityleveltitlesummaryfindingsrankrank_explanationfull_content
0e7822326-4da8-4954-afa9-be7f4f5791a5422Scrooge's Supernatural Encounters: Marley's Gh...This report delves into the pivotal supernatur...[{'explanation': 'Marley's Ghost plays a cruci...8.0The impact severity rating is high due to the ...# Scrooge's Supernatural Encounters: Marley's ...
18a5afac1-99ef-4f01-a1b1-f044ce392ff9432The Ghost's Influence on Scrooge's TransformationThis report delves into the pivotal role of 'T...[{'explanation': 'The Ghost, identified at tim...8.5The impact severity rating is high due to the ...# The Ghost's Influence on Scrooge's Transform...
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" + ], + "text/plain": [ + " id community level \\\n", + "0 e7822326-4da8-4954-afa9-be7f4f5791a5 42 2 \n", + "1 8a5afac1-99ef-4f01-a1b1-f044ce392ff9 43 2 \n", + "\n", + " title \\\n", + "0 Scrooge's Supernatural Encounters: Marley's Gh... \n", + "1 The Ghost's Influence on Scrooge's Transformation \n", + "\n", + " summary \\\n", + "0 This report delves into the pivotal supernatur... \n", + "1 This report delves into the pivotal role of 'T... \n", + "\n", + " findings rank \\\n", + "0 [{'explanation': 'Marley's Ghost plays a cruci... 8.0 \n", + "1 [{'explanation': 'The Ghost, identified at tim... 8.5 \n", + "\n", + " rank_explanation \\\n", + "0 The impact severity rating is high due to the ... \n", + "1 The impact severity rating is high due to the ... \n", + "\n", + " full_content \n", + "0 # Scrooge's Supernatural Encounters: Marley's ... \n", + "1 # The Ghost's Influence on Scrooge's Transform... " + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "community_report_df = pd.read_parquet(\n", + " f\"{GRAPHRAG_FOLDER}/create_final_community_reports.parquet\",\n", + " columns=[\n", + " \"id\",\n", + " \"community\",\n", + " \"level\",\n", + " \"title\",\n", + " \"summary\",\n", + " \"findings\",\n", + " \"rank\",\n", + " \"rank_explanation\",\n", + " \"full_content\",\n", + " ],\n", + ")\n", + "community_report_df.head(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "5c6ed591-f98c-4403-9fde-8d4cb4c01cca", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'_contains_updates': True, 'properties_set': 729}\n", + "47 rows in 0.02472519874572754 s.\n" + ] + }, + { + "data": { + "text/plain": [ + "47" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Import communities\n", + "community_statement = \"\"\"\n", + "MERGE (c:__Community__ {community:value.community})\n", + "SET c += value {.level, .title, .rank, .rank_explanation, .full_content, .summary}\n", + "WITH c, value\n", + "UNWIND range(0, size(value.findings)-1) AS finding_idx\n", + "WITH c, value, finding_idx, value.findings[finding_idx] as finding\n", + "MERGE (c)-[:HAS_FINDING]->(f:Finding {id:finding_idx})\n", + "SET f += finding\n", + "\"\"\"\n", + "batched_import(community_statement, community_report_df)" + ] + }, + { + "cell_type": "markdown", + "id": "50a1a24a", + "metadata": {}, + "source": [ + "### Importing Covariates\n", + "\n", + "Covariates are for instance claims on entities, we connect them to the chunks where they originate from." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "523bed92-d12c-4fc4-aa44-6c62321b36bc", + "metadata": {}, + "outputs": [], + "source": [ + "cov_df = (pd.read_parquet(f\"{GRAPHRAG_FOLDER}/create_final_covariates.parquet\"),)\n", + "# columns=[\"id\",\"text_unit_id\"])\n", + "cov_df.head(2)\n", + "# Subject id do not match entity ids" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3e064234-5fce-448e-8bb4-ab2f35699049", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'_contains_updates': True, 'labels_added': 89, 'relationships_created': 89, 'nodes_created': 89, 'properties_set': 1061}\n", + "89 rows in 0.13370895385742188 s.\n" + ] + }, + { + "data": { + "text/plain": [ + "89" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Import covariates\n", + "cov_statement = \"\"\"\n", + "MERGE (c:__Covariate__ {id:value.id})\n", + "SET c += apoc.map.clean(value, [\"text_unit_id\", \"document_ids\", \"n_tokens\"], [NULL, \"\"])\n", + "WITH c, value\n", + "MATCH (ch:__Chunk__ {id: value.text_unit_id})\n", + "MERGE (ch)-[:HAS_COVARIATE]->(c)\n", + "\"\"\"\n", + "batched_import(cov_statement, cov_df)" + ] + }, + { + "cell_type": "markdown", + "id": "00340bae", + "metadata": {}, + "source": [ + "### Visualize your data\n", + "\n", + "You can now [Open] Neo4j on Aura, you need to log in with either SSO or your credentials.\n", + "\n", + "Or open https://workspace-preview.neo4j.io and connect to your local instance, remember the URI is `neo4j://localhost` and `neo4j` as username and `password` as password.\n", + "\n", + "In \"Explore\" you can explore by using visual graph patterns and then explore and expand further.\n", + "\n", + "In \"Query\", you can open the left sidebar and explore by clicking on the nodes and relationships.\n", + "You can also use the co-pilot to generate Cypher queries for your, here are some examples.\n", + "\n", + "#### Show a few `__Entity__` nodes and their relationships (Entity Graph)\n", + "\n", + "```cypher\n", + "MATCH path = (:__Entity__)-[:RELATED]->(:__Entity__)\n", + "RETURN path LIMIT 200\n", + "```\n", + "\n", + "#### Show the Chunks and the Document (Lexical Graph)\n", + "\n", + "```cypher\n", + "MATCH (d:__Document__) WITH d LIMIT 1\n", + "MATCH path = (d)<-[:PART_OF]-(c:__Chunk__)\n", + "RETURN path LIMIT 100\n", + "```\n", + "\n", + "#### Show a Community and it's Entities\n", + "\n", + "```cypher\n", + "MATCH (c:__Community__) WITH c LIMIT 1\n", + "MATCH path = (c)<-[:IN_COMMUNITY]-()-[:RELATED]-(:__Entity__)\n", + "RETURN path LIMIT 100\n", + "```\n", + "\n", + "#### Show everything\n", + "\n", + "```cypher\n", + "MATCH (d:__Document__) WITH d LIMIT 1\n", + "MATCH path = (d)<-[:PART_OF]-(:__Chunk__)-[:HAS_ENTIY]->()-[:RELATED]-()-[:IN_COMMUNITY]->()\n", + "RETURN path LIMIT 250\n", + "```\n", + "\n", + "We showed the visualization of this last query at the beginning." + ] + }, + { + "cell_type": "markdown", + "id": "a0aa8529", + "metadata": {}, + "source": [ + "If you have questions, feel free to reach out in the GraphRAG discord server: \n", + "https://discord.gg/graphrag" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples_notebooks/community/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb similarity index 99% rename from examples_notebooks/community/yfiles-jupyter-graphs/graph-visualization.ipynb rename to examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index bb2e93d8f0..bbb696c899 100644 --- a/examples_notebooks/community/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -299,7 +299,7 @@ "entities = read_indexer_entities(entity_df, entity_embedding_df, COMMUNITY_LEVEL)\n", "\n", "description_embedding_store = LanceDBVectorStore(\n", - " collection_name=\"entity_description_embeddings\",\n", + " collection_name=\"default-entity-description\",\n", ")\n", "description_embedding_store.connect(db_uri=LANCEDB_URI)\n", "entity_description_embeddings = store_entity_semantic_embeddings(\n", diff --git a/examples_notebooks/global_search.ipynb b/examples_notebooks/global_search.ipynb deleted file mode 100644 index fdde2c706c..0000000000 --- a/examples_notebooks/global_search.ipynb +++ /dev/null @@ -1,264 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'\\nCopyright (c) Microsoft Corporation.\\n'" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Copyright (c) 2024 Microsoft Corporation.\n", - "# Licensed under the MIT License." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "\n", - "import pandas as pd\n", - "import tiktoken\n", - "\n", - "from graphrag.query.indexer_adapters import read_indexer_entities, read_indexer_reports\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", - "from graphrag.query.structured_search.global_search.community_context import (\n", - " GlobalCommunityContext,\n", - ")\n", - "from graphrag.query.structured_search.global_search.search import GlobalSearch" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Global Search example\n", - "\n", - "Global search method generates answers by searching over all AI-generated community reports in a map-reduce fashion. This is a resource-intensive method, but often gives good responses for questions that require an understanding of the dataset as a whole (e.g. What are the most significant values of the herbs mentioned in this notebook?)." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### LLM setup" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "api_key = os.environ[\"GRAPHRAG_API_KEY\"]\n", - "llm_model = os.environ[\"GRAPHRAG_LLM_MODEL\"]\n", - "\n", - "llm = ChatOpenAI(\n", - " api_key=api_key,\n", - " model=llm_model,\n", - " api_type=OpenaiApiType.OpenAI, # OpenaiApiType.OpenAI or OpenaiApiType.AzureOpenAI\n", - " max_retries=20,\n", - ")\n", - "\n", - "token_encoder = tiktoken.get_encoding(\"cl100k_base\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Load community reports as context for global search\n", - "\n", - "- Load all community reports in the `create_final_community_reports` table from the ire-indexing engine, to be used as context data for global search.\n", - "- Load entities from the `create_final_nodes` and `create_final_entities` tables from the ire-indexing engine, to be used for calculating community weights for context ranking. Note that this is optional (if no entities are provided, we will not calculate community weights and only use the `rank` attribute in the community reports table for context ranking)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "# parquet files generated from indexing pipeline\n", - "INPUT_DIR = \"./inputs/operation dulce\"\n", - "COMMUNITY_REPORT_TABLE = \"create_final_community_reports\"\n", - "ENTITY_TABLE = \"create_final_nodes\"\n", - "ENTITY_EMBEDDING_TABLE = \"create_final_entities\"\n", - "\n", - "# community level in the Leiden community hierarchy from which we will load the community reports\n", - "# higher value means we use reports from more fine-grained communities (at the cost of higher computation cost)\n", - "COMMUNITY_LEVEL = 2" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "entity_df = pd.read_parquet(f\"{INPUT_DIR}/{ENTITY_TABLE}.parquet\")\n", - "report_df = pd.read_parquet(f\"{INPUT_DIR}/{COMMUNITY_REPORT_TABLE}.parquet\")\n", - "entity_embedding_df = pd.read_parquet(f\"{INPUT_DIR}/{ENTITY_EMBEDDING_TABLE}.parquet\")\n", - "\n", - "reports = read_indexer_reports(report_df, entity_df, COMMUNITY_LEVEL)\n", - "entities = read_indexer_entities(entity_df, entity_embedding_df, COMMUNITY_LEVEL)\n", - "print(f\"Report records: {len(report_df)}\")\n", - "report_df.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Build global context based on community reports" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "context_builder = GlobalCommunityContext(\n", - " community_reports=reports,\n", - " entities=entities, # default to None if you don't want to use community weights for ranking\n", - " token_encoder=token_encoder,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Perform global search" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "context_builder_params = {\n", - " \"use_community_summary\": False, # False means using full community reports. True means using community short summaries.\n", - " \"shuffle_data\": True,\n", - " \"include_community_rank\": True,\n", - " \"min_community_rank\": 0,\n", - " \"community_rank_name\": \"rank\",\n", - " \"include_community_weight\": True,\n", - " \"community_weight_name\": \"occurrence weight\",\n", - " \"normalize_community_weight\": True,\n", - " \"max_tokens\": 12_000, # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000)\n", - " \"context_name\": \"Reports\",\n", - "}\n", - "\n", - "map_llm_params = {\n", - " \"max_tokens\": 1000,\n", - " \"temperature\": 0.0,\n", - " \"response_format\": {\"type\": \"json_object\"},\n", - "}\n", - "\n", - "reduce_llm_params = {\n", - " \"max_tokens\": 2000, # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 1000-1500)\n", - " \"temperature\": 0.0,\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "search_engine = GlobalSearch(\n", - " llm=llm,\n", - " context_builder=context_builder,\n", - " token_encoder=token_encoder,\n", - " max_data_tokens=12_000, # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000)\n", - " map_llm_params=map_llm_params,\n", - " reduce_llm_params=reduce_llm_params,\n", - " allow_general_knowledge=False, # set this to True will add instruction to encourage the LLM to incorporate general knowledge in the response, which may increase hallucinations, but could be useful in some use cases.\n", - " json_mode=True, # set this to False if your LLM model does not support JSON mode.\n", - " context_builder_params=context_builder_params,\n", - " concurrent_coroutines=32,\n", - " response_type=\"multiple paragraphs\", # free form text describing the response type and format, can be anything, e.g. prioritized list, single paragraph, multiple paragraphs, multiple-page report\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "result = await search_engine.asearch(\n", - " \"What is the major conflict in this story and who are the protagonist and antagonist?\"\n", - ")\n", - "\n", - "print(result.response)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# inspect the data used to build the context for the LLM responses\n", - "result.context_data[\"reports\"]" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "LLM calls: 13. LLM tokens: 184660\n" - ] - } - ], - "source": [ - "# inspect number of LLM calls and tokens\n", - "print(f\"LLM calls: {result.llm_calls}. LLM tokens: {result.prompt_tokens}\")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples_notebooks/inputs/operation dulce/create_final_community_reports.parquet b/examples_notebooks/inputs/operation dulce/create_final_community_reports.parquet deleted file mode 100644 index d28111c35d..0000000000 Binary files a/examples_notebooks/inputs/operation dulce/create_final_community_reports.parquet and /dev/null differ diff --git a/examples_notebooks/inputs/operation dulce/create_final_covariates.parquet b/examples_notebooks/inputs/operation dulce/create_final_covariates.parquet deleted file mode 100644 index e4bcbd5b4b..0000000000 Binary files a/examples_notebooks/inputs/operation dulce/create_final_covariates.parquet and /dev/null differ diff --git a/examples_notebooks/inputs/operation dulce/create_final_entities.parquet b/examples_notebooks/inputs/operation dulce/create_final_entities.parquet deleted file mode 100644 index 30f0ac6bae..0000000000 Binary files a/examples_notebooks/inputs/operation dulce/create_final_entities.parquet and /dev/null differ diff --git a/examples_notebooks/inputs/operation dulce/create_final_nodes.parquet b/examples_notebooks/inputs/operation dulce/create_final_nodes.parquet deleted file mode 100644 index 97772bcefc..0000000000 Binary files a/examples_notebooks/inputs/operation dulce/create_final_nodes.parquet and /dev/null differ diff --git a/examples_notebooks/inputs/operation dulce/create_final_relationships.parquet b/examples_notebooks/inputs/operation dulce/create_final_relationships.parquet deleted file mode 100644 index 320f9b25e6..0000000000 Binary files a/examples_notebooks/inputs/operation dulce/create_final_relationships.parquet and /dev/null differ diff --git a/examples_notebooks/inputs/operation dulce/create_final_text_units.parquet b/examples_notebooks/inputs/operation dulce/create_final_text_units.parquet deleted file mode 100644 index e78cb7f89c..0000000000 Binary files a/examples_notebooks/inputs/operation dulce/create_final_text_units.parquet and /dev/null differ diff --git a/graphrag/__main__.py b/graphrag/__main__.py new file mode 100644 index 0000000000..faafaee5b2 --- /dev/null +++ b/graphrag/__main__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The GraphRAG package.""" + +from graphrag.cli.main import app + +app(prog_name="graphrag") diff --git a/graphrag/api/__init__.py b/graphrag/api/__init__.py new file mode 100644 index 0000000000..6165122e5c --- /dev/null +++ b/graphrag/api/__init__.py @@ -0,0 +1,33 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""API for GraphRAG. + +WARNING: This API is under development and may undergo changes in future releases. +Backwards compatibility is not guaranteed at this time. +""" + +from graphrag.api.index import build_index +from graphrag.api.prompt_tune import generate_indexing_prompts +from graphrag.api.query import ( + drift_search, + global_search, + global_search_streaming, + local_search, + local_search_streaming, +) +from graphrag.prompt_tune.types import DocSelectionType + +__all__ = [ # noqa: RUF022 + # index API + "build_index", + # query API + "global_search", + "global_search_streaming", + "local_search", + "local_search_streaming", + "drift_search", + # prompt tuning API + "DocSelectionType", + "generate_indexing_prompts", +] diff --git a/graphrag/api/index.py b/graphrag/api/index.py new file mode 100644 index 0000000000..90fb306942 --- /dev/null +++ b/graphrag/api/index.py @@ -0,0 +1,110 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +""" +Indexing API for GraphRAG. + +WARNING: This API is under development and may undergo changes in future releases. +Backwards compatibility is not guaranteed at this time. +""" + +from pathlib import Path + +from graphrag.config.enums import CacheType +from graphrag.config.models.graph_rag_config import GraphRagConfig +from graphrag.index.cache.noop_pipeline_cache import NoopPipelineCache +from graphrag.index.create_pipeline_config import create_pipeline_config +from graphrag.index.emit.types import TableEmitterType +from graphrag.index.run import run_pipeline_with_config +from graphrag.index.typing import PipelineRunResult +from graphrag.logging.base import ProgressReporter +from graphrag.vector_stores.factory import VectorStoreType + + +async def build_index( + config: GraphRagConfig, + run_id: str = "", + is_resume_run: bool = False, + memory_profile: bool = False, + progress_reporter: ProgressReporter | None = None, + emit: list[TableEmitterType] = [TableEmitterType.Parquet], # noqa: B006 +) -> list[PipelineRunResult]: + """Run the pipeline with the given configuration. + + Parameters + ---------- + config : GraphRagConfig + The configuration. + run_id : str + The run id. Creates a output directory with this name. + is_resume_run : bool default=False + Whether to resume a previous index run. + is_update_run : bool default=False + Whether to update a previous index run. + memory_profile : bool + Whether to enable memory profiling. + progress_reporter : ProgressReporter | None default=None + The progress reporter. + emit : list[str] + The list of emitter types to emit. + Accepted values {"parquet", "csv"}. + + Returns + ------- + list[PipelineRunResult] + The list of pipeline run results + """ + is_update_run = bool(config.update_index_storage) + + if is_resume_run and is_update_run: + msg = "Cannot resume and update a run at the same time." + raise ValueError(msg) + + # Ensure Parquet is part of the emitters + if TableEmitterType.Parquet not in emit: + emit.append(TableEmitterType.Parquet) + + config = _patch_vector_config(config) + + pipeline_config = create_pipeline_config(config) + pipeline_cache = ( + NoopPipelineCache() if config.cache.type == CacheType.none is None else None + ) + outputs: list[PipelineRunResult] = [] + async for output in run_pipeline_with_config( + pipeline_config, + run_id=run_id, + memory_profile=memory_profile, + cache=pipeline_cache, + progress_reporter=progress_reporter, + emit=emit, + is_resume_run=is_resume_run, + is_update_run=is_update_run, + ): + outputs.append(output) + if progress_reporter: + if output.errors and len(output.errors) > 0: + progress_reporter.error(output.workflow) + else: + progress_reporter.success(output.workflow) + progress_reporter.info(str(output.result)) + return outputs + + +def _patch_vector_config(config: GraphRagConfig): + """Back-compat patch to ensure a default vector store configuration.""" + if not config.embeddings.vector_store: + config.embeddings.vector_store = { + "type": "lancedb", + "db_uri": "output/lancedb", + "container_name": "default", + "overwrite": True, + } + # TODO: must update filepath of lancedb (if used) until the new config engine has been implemented + # TODO: remove the type ignore annotations below once the new config engine has been refactored + vector_store_type = config.embeddings.vector_store["type"] # type: ignore + if vector_store_type == VectorStoreType.LanceDB: + db_uri = config.embeddings.vector_store["db_uri"] # type: ignore + lancedb_dir = Path(config.root_dir).resolve() / db_uri + config.embeddings.vector_store["db_uri"] = str(lancedb_dir) # type: ignore + return config diff --git a/graphrag/api/prompt_tune.py b/graphrag/api/prompt_tune.py new file mode 100644 index 0000000000..917727214c --- /dev/null +++ b/graphrag/api/prompt_tune.py @@ -0,0 +1,179 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +""" +Auto Templating API. + +This API provides access to the auto templating feature of graphrag, allowing external applications +to hook into graphrag and generate prompts from private data. + +WARNING: This API is under development and may undergo changes in future releases. +Backwards compatibility is not guaranteed at this time. +""" + +from datashaper import NoopVerbCallbacks +from pydantic import PositiveInt, validate_call + +from graphrag.config.models.graph_rag_config import GraphRagConfig +from graphrag.index.llm.load_llm import load_llm +from graphrag.logging.print_progress import PrintProgressReporter +from graphrag.prompt_tune.defaults import MAX_TOKEN_COUNT +from graphrag.prompt_tune.generator.community_report_rating import ( + generate_community_report_rating, +) +from graphrag.prompt_tune.generator.community_report_summarization import ( + create_community_summarization_prompt, +) +from graphrag.prompt_tune.generator.community_reporter_role import ( + generate_community_reporter_role, +) +from graphrag.prompt_tune.generator.domain import generate_domain +from graphrag.prompt_tune.generator.entity_extraction_prompt import ( + create_entity_extraction_prompt, +) +from graphrag.prompt_tune.generator.entity_relationship import ( + generate_entity_relationship_examples, +) +from graphrag.prompt_tune.generator.entity_summarization_prompt import ( + create_entity_summarization_prompt, +) +from graphrag.prompt_tune.generator.entity_types import generate_entity_types +from graphrag.prompt_tune.generator.language import detect_language +from graphrag.prompt_tune.generator.persona import generate_persona +from graphrag.prompt_tune.loader.input import MIN_CHUNK_SIZE, load_docs_in_chunks +from graphrag.prompt_tune.types import DocSelectionType + + +@validate_call +async def generate_indexing_prompts( + config: GraphRagConfig, + root: str, + chunk_size: PositiveInt = MIN_CHUNK_SIZE, + limit: PositiveInt = 15, + selection_method: DocSelectionType = DocSelectionType.RANDOM, + domain: str | None = None, + language: str | None = None, + max_tokens: int = MAX_TOKEN_COUNT, + discover_entity_types: bool = True, + min_examples_required: PositiveInt = 2, + n_subset_max: PositiveInt = 300, + k: PositiveInt = 15, +) -> tuple[str, str, str]: + """Generate indexing prompts. + + Parameters + ---------- + - config: The GraphRag configuration. + - output_path: The path to store the prompts. + - chunk_size: The chunk token size to use for input text units. + - limit: The limit of chunks to load. + - selection_method: The chunk selection method. + - domain: The domain to map the input documents to. + - language: The language to use for the prompts. + - max_tokens: The maximum number of tokens to use on entity extraction prompts + - discover_entity_types: Generate entity types. + - min_examples_required: The minimum number of examples required for entity extraction prompts. + - n_subset_max: The number of text chunks to embed when using auto selection method. + - k: The number of documents to select when using auto selection method. + + Returns + ------- + tuple[str, str, str]: entity extraction prompt, entity summarization prompt, community summarization prompt + """ + reporter = PrintProgressReporter("") + + # Retrieve documents + doc_list = await load_docs_in_chunks( + root=root, + config=config, + limit=limit, + select_method=selection_method, + reporter=reporter, + chunk_size=chunk_size, + n_subset_max=n_subset_max, + k=k, + ) + + # Create LLM from config + llm = load_llm( + "prompt_tuning", + config.llm.type, + NoopVerbCallbacks(), + None, + config.llm.model_dump(), + ) + + if not domain: + reporter.info("Generating domain...") + domain = await generate_domain(llm, doc_list) + reporter.info(f"Generated domain: {domain}") + + if not language: + reporter.info("Detecting language...") + language = await detect_language(llm, doc_list) + + reporter.info("Generating persona...") + persona = await generate_persona(llm, domain) + + reporter.info("Generating community report ranking description...") + community_report_ranking = await generate_community_report_rating( + llm, domain=domain, persona=persona, docs=doc_list + ) + + entity_types = None + if discover_entity_types: + reporter.info("Generating entity types...") + entity_types = await generate_entity_types( + llm, + domain=domain, + persona=persona, + docs=doc_list, + json_mode=config.llm.model_supports_json or False, + ) + + reporter.info("Generating entity relationship examples...") + examples = await generate_entity_relationship_examples( + llm, + persona=persona, + entity_types=entity_types, + docs=doc_list, + language=language, + json_mode=False, # config.llm.model_supports_json should be used, but these prompts are used in non-json mode by the index engine + ) + + reporter.info("Generating entity extraction prompt...") + entity_extraction_prompt = create_entity_extraction_prompt( + entity_types=entity_types, + docs=doc_list, + examples=examples, + language=language, + json_mode=False, # config.llm.model_supports_json should be used, but these prompts are used in non-json mode by the index engine + encoding_model=config.encoding_model, + max_token_count=max_tokens, + min_examples_required=min_examples_required, + ) + + reporter.info("Generating entity summarization prompt...") + entity_summarization_prompt = create_entity_summarization_prompt( + persona=persona, + language=language, + ) + + reporter.info("Generating community reporter role...") + community_reporter_role = await generate_community_reporter_role( + llm, domain=domain, persona=persona, docs=doc_list + ) + + reporter.info("Generating community summarization prompt...") + community_summarization_prompt = create_community_summarization_prompt( + persona=persona, + role=community_reporter_role, + report_rating_description=community_report_ranking, + language=language, + ) + + return ( + entity_extraction_prompt, + entity_summarization_prompt, + community_summarization_prompt, + ) diff --git a/graphrag/api/query.py b/graphrag/api/query.py new file mode 100644 index 0000000000..7149211c83 --- /dev/null +++ b/graphrag/api/query.py @@ -0,0 +1,594 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +""" +Query Engine API. + +This API provides access to the query engine of graphrag, allowing external applications +to hook into graphrag and run queries over a knowledge graph generated by graphrag. + +Contains the following functions: + - global_search: Perform a global search. + - global_search_streaming: Perform a global search and stream results back. + - local_search: Perform a local search. + - local_search_streaming: Perform a local search and stream results back. + +WARNING: This API is under development and may undergo changes in future releases. +Backwards compatibility is not guaranteed at this time. +""" + +from collections.abc import AsyncGenerator +from pathlib import Path +from typing import Any + +import pandas as pd +from pydantic import validate_call + +from graphrag.config.models.graph_rag_config import GraphRagConfig +from graphrag.index.config.embeddings import ( + community_full_content_embedding, + entity_description_embedding, +) +from graphrag.logging.print_progress import PrintProgressReporter +from graphrag.query.factories import ( + get_drift_search_engine, + get_global_search_engine, + get_local_search_engine, +) +from graphrag.query.indexer_adapters import ( + read_indexer_communities, + read_indexer_covariates, + read_indexer_entities, + read_indexer_relationships, + read_indexer_report_embeddings, + read_indexer_reports, + read_indexer_text_units, +) +from graphrag.query.structured_search.base import SearchResult # noqa: TCH001 +from graphrag.utils.cli import redact +from graphrag.utils.embeddings import create_collection_name +from graphrag.vector_stores.base import BaseVectorStore +from graphrag.vector_stores.factory import VectorStoreFactory, VectorStoreType + +reporter = PrintProgressReporter("") + + +@validate_call(config={"arbitrary_types_allowed": True}) +async def global_search( + config: GraphRagConfig, + nodes: pd.DataFrame, + entities: pd.DataFrame, + communities: pd.DataFrame, + community_reports: pd.DataFrame, + community_level: int | None, + dynamic_community_selection: bool, + response_type: str, + query: str, +) -> tuple[ + str | dict[str, Any] | list[dict[str, Any]], + str | list[pd.DataFrame] | dict[str, pd.DataFrame], +]: + """Perform a global search and return the context data and response. + + Parameters + ---------- + - config (GraphRagConfig): A graphrag configuration (from settings.yaml) + - nodes (pd.DataFrame): A DataFrame containing the final nodes (from create_final_nodes.parquet) + - entities (pd.DataFrame): A DataFrame containing the final entities (from create_final_entities.parquet) + - communities (pd.DataFrame): A DataFrame containing the final communities (from create_final_communities.parquet) + - community_reports (pd.DataFrame): A DataFrame containing the final community reports (from create_final_community_reports.parquet) + - community_level (int): The community level to search at. + - dynamic_community_selection (bool): Enable dynamic community selection instead of using all community reports at a fixed level. Note that you can still provide community_level cap the maximum level to search. + - response_type (str): The type of response to return. + - query (str): The user query to search for. + + Returns + ------- + TODO: Document the search response type and format. + + Raises + ------ + TODO: Document any exceptions to expect. + """ + _communities = read_indexer_communities(communities, nodes, community_reports) + reports = read_indexer_reports( + community_reports, + nodes, + community_level=community_level, + dynamic_community_selection=dynamic_community_selection, + ) + _entities = read_indexer_entities(nodes, entities, community_level=community_level) + map_prompt = _load_search_prompt(config.root_dir, config.global_search.map_prompt) + reduce_prompt = _load_search_prompt( + config.root_dir, config.global_search.reduce_prompt + ) + knowledge_prompt = _load_search_prompt( + config.root_dir, config.global_search.knowledge_prompt + ) + + search_engine = get_global_search_engine( + config, + reports=reports, + entities=_entities, + communities=_communities, + response_type=response_type, + dynamic_community_selection=dynamic_community_selection, + map_system_prompt=map_prompt, + reduce_system_prompt=reduce_prompt, + general_knowledge_inclusion_prompt=knowledge_prompt, + ) + result: SearchResult = await search_engine.asearch(query=query) + response = result.response + context_data = _reformat_context_data(result.context_data) # type: ignore + return response, context_data + + +@validate_call(config={"arbitrary_types_allowed": True}) +async def global_search_streaming( + config: GraphRagConfig, + nodes: pd.DataFrame, + entities: pd.DataFrame, + communities: pd.DataFrame, + community_reports: pd.DataFrame, + community_level: int | None, + dynamic_community_selection: bool, + response_type: str, + query: str, +) -> AsyncGenerator: + """Perform a global search and return the context data and response via a generator. + + Context data is returned as a dictionary of lists, with one list entry for each record. + + Parameters + ---------- + - config (GraphRagConfig): A graphrag configuration (from settings.yaml) + - nodes (pd.DataFrame): A DataFrame containing the final nodes (from create_final_nodes.parquet) + - entities (pd.DataFrame): A DataFrame containing the final entities (from create_final_entities.parquet) + - communities (pd.DataFrame): A DataFrame containing the final communities (from create_final_communities.parquet) + - community_reports (pd.DataFrame): A DataFrame containing the final community reports (from create_final_community_reports.parquet) + - community_level (int): The community level to search at. + - dynamic_community_selection (bool): Enable dynamic community selection instead of using all community reports at a fixed level. Note that you can still provide community_level cap the maximum level to search. + - response_type (str): The type of response to return. + - query (str): The user query to search for. + + Returns + ------- + TODO: Document the search response type and format. + + Raises + ------ + TODO: Document any exceptions to expect. + """ + _communities = read_indexer_communities(communities, nodes, community_reports) + reports = read_indexer_reports( + community_reports, + nodes, + community_level=community_level, + dynamic_community_selection=dynamic_community_selection, + ) + _entities = read_indexer_entities(nodes, entities, community_level=community_level) + map_prompt = _load_search_prompt(config.root_dir, config.global_search.map_prompt) + reduce_prompt = _load_search_prompt( + config.root_dir, config.global_search.reduce_prompt + ) + knowledge_prompt = _load_search_prompt( + config.root_dir, config.global_search.knowledge_prompt + ) + + search_engine = get_global_search_engine( + config, + reports=reports, + entities=_entities, + communities=_communities, + response_type=response_type, + dynamic_community_selection=dynamic_community_selection, + map_system_prompt=map_prompt, + reduce_system_prompt=reduce_prompt, + general_knowledge_inclusion_prompt=knowledge_prompt, + ) + search_result = search_engine.astream_search(query=query) + + # when streaming results, a context data object is returned as the first result + # and the query response in subsequent tokens + context_data = None + get_context_data = True + async for stream_chunk in search_result: + if get_context_data: + context_data = _reformat_context_data(stream_chunk) # type: ignore + yield context_data + get_context_data = False + else: + yield stream_chunk + + +@validate_call(config={"arbitrary_types_allowed": True}) +async def local_search( + config: GraphRagConfig, + nodes: pd.DataFrame, + entities: pd.DataFrame, + community_reports: pd.DataFrame, + text_units: pd.DataFrame, + relationships: pd.DataFrame, + covariates: pd.DataFrame | None, + community_level: int, + response_type: str, + query: str, +) -> tuple[ + str | dict[str, Any] | list[dict[str, Any]], + str | list[pd.DataFrame] | dict[str, pd.DataFrame], +]: + """Perform a local search and return the context data and response. + + Parameters + ---------- + - config (GraphRagConfig): A graphrag configuration (from settings.yaml) + - nodes (pd.DataFrame): A DataFrame containing the final nodes (from create_final_nodes.parquet) + - entities (pd.DataFrame): A DataFrame containing the final entities (from create_final_entities.parquet) + - community_reports (pd.DataFrame): A DataFrame containing the final community reports (from create_final_community_reports.parquet) + - text_units (pd.DataFrame): A DataFrame containing the final text units (from create_final_text_units.parquet) + - relationships (pd.DataFrame): A DataFrame containing the final relationships (from create_final_relationships.parquet) + - covariates (pd.DataFrame): A DataFrame containing the final covariates (from create_final_covariates.parquet) + - community_level (int): The community level to search at. + - response_type (str): The response type to return. + - query (str): The user query to search for. + + Returns + ------- + TODO: Document the search response type and format. + + Raises + ------ + TODO: Document any exceptions to expect. + """ + config = _patch_vector_store(config, nodes, entities, community_level) + + # TODO: update filepath of lancedb (if used) until the new config engine has been implemented + # TODO: remove the type ignore annotations below once the new config engine has been refactored + vector_store_type = config.embeddings.vector_store.get("type") # type: ignore + vector_store_args = config.embeddings.vector_store + if vector_store_type == VectorStoreType.LanceDB: + db_uri = config.embeddings.vector_store["db_uri"] # type: ignore + lancedb_dir = Path(config.root_dir).resolve() / db_uri + vector_store_args["db_uri"] = str(lancedb_dir) # type: ignore + + reporter.info(f"Vector Store Args: {redact(vector_store_args)}") # type: ignore + + description_embedding_store = _get_embedding_store( + config_args=vector_store_args, # type: ignore + embedding_name=entity_description_embedding, + ) + + _entities = read_indexer_entities(nodes, entities, community_level) + _covariates = read_indexer_covariates(covariates) if covariates is not None else [] + prompt = _load_search_prompt(config.root_dir, config.local_search.prompt) + + search_engine = get_local_search_engine( + config=config, + reports=read_indexer_reports(community_reports, nodes, community_level), + text_units=read_indexer_text_units(text_units), + entities=_entities, + relationships=read_indexer_relationships(relationships), + covariates={"claims": _covariates}, + description_embedding_store=description_embedding_store, # type: ignore + response_type=response_type, + system_prompt=prompt, + ) + + result: SearchResult = await search_engine.asearch(query=query) + response = result.response + context_data = _reformat_context_data(result.context_data) # type: ignore + return response, context_data + + +@validate_call(config={"arbitrary_types_allowed": True}) +async def local_search_streaming( + config: GraphRagConfig, + nodes: pd.DataFrame, + entities: pd.DataFrame, + community_reports: pd.DataFrame, + text_units: pd.DataFrame, + relationships: pd.DataFrame, + covariates: pd.DataFrame | None, + community_level: int, + response_type: str, + query: str, +) -> AsyncGenerator: + """Perform a local search and return the context data and response via a generator. + + Parameters + ---------- + - config (GraphRagConfig): A graphrag configuration (from settings.yaml) + - nodes (pd.DataFrame): A DataFrame containing the final nodes (from create_final_nodes.parquet) + - entities (pd.DataFrame): A DataFrame containing the final entities (from create_final_entities.parquet) + - community_reports (pd.DataFrame): A DataFrame containing the final community reports (from create_final_community_reports.parquet) + - text_units (pd.DataFrame): A DataFrame containing the final text units (from create_final_text_units.parquet) + - relationships (pd.DataFrame): A DataFrame containing the final relationships (from create_final_relationships.parquet) + - covariates (pd.DataFrame): A DataFrame containing the final covariates (from create_final_covariates.parquet) + - community_level (int): The community level to search at. + - response_type (str): The response type to return. + - query (str): The user query to search for. + + Returns + ------- + TODO: Document the search response type and format. + + Raises + ------ + TODO: Document any exceptions to expect. + """ + config = _patch_vector_store(config, nodes, entities, community_level) + + # TODO: must update filepath of lancedb (if used) until the new config engine has been implemented + # TODO: remove the type ignore annotations below once the new config engine has been refactored + vector_store_type = config.embeddings.vector_store.get("type") # type: ignore + vector_store_args = config.embeddings.vector_store + if vector_store_type == VectorStoreType.LanceDB: + db_uri = config.embeddings.vector_store["db_uri"] # type: ignore + lancedb_dir = Path(config.root_dir).resolve() / db_uri + vector_store_args["db_uri"] = str(lancedb_dir) # type: ignore + + reporter.info(f"Vector Store Args: {redact(vector_store_args)}") # type: ignore + + description_embedding_store = _get_embedding_store( + config_args=vector_store_args, # type: ignore + embedding_name=entity_description_embedding, + ) + + _entities = read_indexer_entities(nodes, entities, community_level) + _covariates = read_indexer_covariates(covariates) if covariates is not None else [] + prompt = _load_search_prompt(config.root_dir, config.local_search.prompt) + + search_engine = get_local_search_engine( + config=config, + reports=read_indexer_reports(community_reports, nodes, community_level), + text_units=read_indexer_text_units(text_units), + entities=_entities, + relationships=read_indexer_relationships(relationships), + covariates={"claims": _covariates}, + description_embedding_store=description_embedding_store, # type: ignore + response_type=response_type, + system_prompt=prompt, + ) + search_result = search_engine.astream_search(query=query) + + # when streaming results, a context data object is returned as the first result + # and the query response in subsequent tokens + context_data = None + get_context_data = True + async for stream_chunk in search_result: + if get_context_data: + context_data = _reformat_context_data(stream_chunk) # type: ignore + yield context_data + get_context_data = False + else: + yield stream_chunk + + +@validate_call(config={"arbitrary_types_allowed": True}) +async def drift_search( + config: GraphRagConfig, + nodes: pd.DataFrame, + entities: pd.DataFrame, + community_reports: pd.DataFrame, + text_units: pd.DataFrame, + relationships: pd.DataFrame, + community_level: int, + query: str, +) -> tuple[ + str | dict[str, Any] | list[dict[str, Any]], + str | list[pd.DataFrame] | dict[str, pd.DataFrame], +]: + """Perform a DRIFT search and return the context data and response. + + Parameters + ---------- + - config (GraphRagConfig): A graphrag configuration (from settings.yaml) + - nodes (pd.DataFrame): A DataFrame containing the final nodes (from create_final_nodes.parquet) + - entities (pd.DataFrame): A DataFrame containing the final entities (from create_final_entities.parquet) + - community_reports (pd.DataFrame): A DataFrame containing the final community reports (from create_final_community_reports.parquet) + - text_units (pd.DataFrame): A DataFrame containing the final text units (from create_final_text_units.parquet) + - relationships (pd.DataFrame): A DataFrame containing the final relationships (from create_final_relationships.parquet) + - community_level (int): The community level to search at. + - query (str): The user query to search for. + + Returns + ------- + TODO: Document the search response type and format. + + Raises + ------ + TODO: Document any exceptions to expect. + """ + config = _patch_vector_store( + config, nodes, entities, community_level, with_reports=community_reports + ) + + # TODO: update filepath of lancedb (if used) until the new config engine has been implemented + # TODO: remove the type ignore annotations below once the new config engine has been refactored + vector_store_type = config.embeddings.vector_store.get("type") # type: ignore + vector_store_args = config.embeddings.vector_store + if vector_store_type == VectorStoreType.LanceDB: + db_uri = config.embeddings.vector_store["db_uri"] # type: ignore + lancedb_dir = Path(config.root_dir).resolve() / db_uri + vector_store_args["db_uri"] = str(lancedb_dir) # type: ignore + + reporter.info(f"Vector Store Args: {redact(vector_store_args)}") # type: ignore + + description_embedding_store = _get_embedding_store( + config_args=vector_store_args, # type: ignore + embedding_name=entity_description_embedding, + ) + + full_content_embedding_store = _get_embedding_store( + config_args=vector_store_args, # type: ignore + embedding_name=community_full_content_embedding, + ) + + _entities = read_indexer_entities(nodes, entities, community_level) + _reports = read_indexer_reports(community_reports, nodes, community_level) + read_indexer_report_embeddings(_reports, full_content_embedding_store) + prompt = _load_search_prompt(config.root_dir, config.drift_search.prompt) + search_engine = get_drift_search_engine( + config=config, + reports=_reports, + text_units=read_indexer_text_units(text_units), + entities=_entities, + relationships=read_indexer_relationships(relationships), + description_embedding_store=description_embedding_store, # type: ignore + local_system_prompt=prompt, + ) + + result: SearchResult = await search_engine.asearch(query=query) + response = result.response + context_data = _reformat_context_data(result.context_data) # type: ignore + + # TODO: Map/reduce the response to a single string with a comprehensive answer including all follow-ups + # For the time being, return highest scoring response (position 0) and context data + match response: + case dict(): + return response["nodes"][0]["answer"], context_data # type: ignore + case str(): + return response, context_data + case list(): + return response, context_data + + +def _patch_vector_store( + config: GraphRagConfig, + nodes: pd.DataFrame, + entities: pd.DataFrame, + community_level: int, + with_reports: pd.DataFrame | None = None, +) -> GraphRagConfig: + # TODO: remove the following patch that checks for a vector_store prior to v1 release + # TODO: this is a backwards compatibility patch that injects the default vector_store settings into the config if it is not present + # Only applicable in situations involving a local vector_store (lancedb). The general idea: + # if vector_store not in config: + # 1. assume user is running local if vector_store is not in config + # 2. insert default vector_store in config + # 3 .create lancedb vector_store instance + # 4. upload vector embeddings from the input dataframes to the vector_store + if not config.embeddings.vector_store: + from graphrag.query.input.loaders.dfs import ( + store_entity_semantic_embeddings, + ) + from graphrag.vector_stores.lancedb import LanceDBVectorStore + + config.embeddings.vector_store = { + "type": "lancedb", + "db_uri": f"{Path(config.storage.base_dir)}/lancedb", + "container_name": "default", + "overwrite": True, + } + description_embedding_store = LanceDBVectorStore( + db_uri=config.embeddings.vector_store["db_uri"], + collection_name=create_collection_name( + config.embeddings.vector_store["container_name"], + entity_description_embedding, + ), + overwrite=config.embeddings.vector_store["overwrite"], + ) + description_embedding_store.connect( + db_uri=config.embeddings.vector_store["db_uri"] + ) + # dump embeddings from the entities list to the description_embedding_store + _entities = read_indexer_entities(nodes, entities, community_level) + store_entity_semantic_embeddings( + entities=_entities, vectorstore=description_embedding_store + ) + + if with_reports is not None: + from graphrag.query.input.loaders.dfs import ( + store_reports_semantic_embeddings, + ) + from graphrag.vector_stores.lancedb import LanceDBVectorStore + + community_reports = with_reports + container_name = config.embeddings.vector_store["container_name"] + # Store report embeddings + _reports = read_indexer_reports( + community_reports, + nodes, + community_level, + content_embedding_col="full_content_embedding", + config=config, + ) + + full_content_embedding_store = LanceDBVectorStore( + db_uri=config.embeddings.vector_store["db_uri"], + collection_name=create_collection_name( + container_name, community_full_content_embedding + ), + overwrite=config.embeddings.vector_store["overwrite"], + ) + full_content_embedding_store.connect( + db_uri=config.embeddings.vector_store["db_uri"] + ) + # dump embeddings from the reports list to the full_content_embedding_store + store_reports_semantic_embeddings( + reports=_reports, vectorstore=full_content_embedding_store + ) + + return config + + +def _get_embedding_store( + config_args: dict, + embedding_name: str, +) -> BaseVectorStore: + """Get the embedding description store.""" + vector_store_type = config_args["type"] + collection_name = create_collection_name( + config_args.get("container_name", "default"), embedding_name + ) + embedding_store = VectorStoreFactory.get_vector_store( + vector_store_type=vector_store_type, + kwargs={**config_args, "collection_name": collection_name}, + ) + embedding_store.connect(**config_args) + return embedding_store + + +def _reformat_context_data(context_data: dict) -> dict: + """ + Reformats context_data for all query responses. + + Reformats a dictionary of dataframes into a dictionary of lists. + One list entry for each record. Records are grouped by original + dictionary keys. + + Note: depending on which query algorithm is used, the context_data may not + contain the same information (keys). In this case, the default behavior will be to + set these keys as empty lists to preserve a standard output format. + """ + final_format = { + "reports": [], + "entities": [], + "relationships": [], + "claims": [], + "sources": [], + } + for key in context_data: + records = ( + context_data[key].to_dict(orient="records") + if context_data[key] is not None and not isinstance(context_data[key], dict) + else context_data[key] + ) + if len(records) < 1: + continue + final_format[key] = records + return final_format + + +def _load_search_prompt(root_dir: str, prompt_config: str | None) -> str | None: + """ + Load the search prompt from disk if configured. + + If not, leave it empty - the search functions will load their defaults. + + """ + if prompt_config: + prompt_file = Path(root_dir) / prompt_config + if prompt_file.exists(): + return prompt_file.read_bytes().decode(encoding="utf-8") + return None diff --git a/graphrag/index/verbs/text/chunk/strategies/__init__.py b/graphrag/callbacks/__init__.py similarity index 55% rename from graphrag/index/verbs/text/chunk/strategies/__init__.py rename to graphrag/callbacks/__init__.py index 0f15fcb2d5..c6b2def2f6 100644 --- a/graphrag/index/verbs/text/chunk/strategies/__init__.py +++ b/graphrag/callbacks/__init__.py @@ -1,4 +1,4 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""The Indexing Engine text chunk strategies package root.""" +"""A module containing callback implementations.""" diff --git a/graphrag/index/reporting/blob_workflow_callbacks.py b/graphrag/callbacks/blob_workflow_callbacks.py similarity index 94% rename from graphrag/index/reporting/blob_workflow_callbacks.py rename to graphrag/callbacks/blob_workflow_callbacks.py index 28f0b6d991..56ed317a9f 100644 --- a/graphrag/index/reporting/blob_workflow_callbacks.py +++ b/graphrag/callbacks/blob_workflow_callbacks.py @@ -1,7 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""A reporter that writes to a blob storage.""" +"""A logger that emits updates from the indexing engine to a blob in Azure Storage.""" import json from datetime import datetime, timezone @@ -14,7 +14,7 @@ class BlobWorkflowCallbacks(NoopWorkflowCallbacks): - """A reporter that writes to a blob storage.""" + """A logger that writes to a blob storage account.""" _blob_service_client: BlobServiceClient _container_name: str @@ -78,7 +78,7 @@ def _write_log(self, log: dict[str, Any]): blob_client = self._blob_service_client.get_blob_client( self._container_name, self._blob_name ) - blob_client.append_block(json.dumps(log) + "\n") + blob_client.append_block(json.dumps(log, indent=4, ensure_ascii=False) + "\n") # update the blob's block count self._num_blocks += 1 diff --git a/graphrag/index/reporting/console_workflow_callbacks.py b/graphrag/callbacks/console_workflow_callbacks.py similarity index 87% rename from graphrag/index/reporting/console_workflow_callbacks.py rename to graphrag/callbacks/console_workflow_callbacks.py index b1ab1278f7..4e70ba7109 100644 --- a/graphrag/index/reporting/console_workflow_callbacks.py +++ b/graphrag/callbacks/console_workflow_callbacks.py @@ -1,13 +1,13 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""Console-based reporter for the workflow engine.""" +"""A logger that emits updates from the indexing engine to the console.""" from datashaper import NoopWorkflowCallbacks class ConsoleWorkflowCallbacks(NoopWorkflowCallbacks): - """A reporter that writes to a console.""" + """A logger that writes to a console.""" def on_error( self, diff --git a/graphrag/index/reporting/load_pipeline_reporter.py b/graphrag/callbacks/factories.py similarity index 72% rename from graphrag/index/reporting/load_pipeline_reporter.py rename to graphrag/callbacks/factories.py index 0386ea03d1..257a0d0a6c 100644 --- a/graphrag/index/reporting/load_pipeline_reporter.py +++ b/graphrag/callbacks/factories.py @@ -1,30 +1,29 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""Load pipeline reporter method.""" +"""Create a pipeline reporter.""" from pathlib import Path from typing import cast from datashaper import WorkflowCallbacks -from graphrag.config import ReportingType -from graphrag.index.config import ( +from graphrag.callbacks.blob_workflow_callbacks import BlobWorkflowCallbacks +from graphrag.callbacks.console_workflow_callbacks import ConsoleWorkflowCallbacks +from graphrag.callbacks.file_workflow_callbacks import FileWorkflowCallbacks +from graphrag.config.enums import ReportingType +from graphrag.index.config.reporting import ( PipelineBlobReportingConfig, PipelineFileReportingConfig, PipelineReportingConfig, ) -from .blob_workflow_callbacks import BlobWorkflowCallbacks -from .console_workflow_callbacks import ConsoleWorkflowCallbacks -from .file_workflow_callbacks import FileWorkflowCallbacks - -def load_pipeline_reporter( +def create_pipeline_reporter( config: PipelineReportingConfig | None, root_dir: str | None ) -> WorkflowCallbacks: """Create a reporter for the given pipeline config.""" - config = config or PipelineFileReportingConfig(base_dir="reports") + config = config or PipelineFileReportingConfig(base_dir="logs") match config.type: case ReportingType.file: diff --git a/graphrag/index/reporting/file_workflow_callbacks.py b/graphrag/callbacks/file_workflow_callbacks.py similarity index 63% rename from graphrag/index/reporting/file_workflow_callbacks.py rename to graphrag/callbacks/file_workflow_callbacks.py index e659c4f644..95ccfea272 100644 --- a/graphrag/index/reporting/file_workflow_callbacks.py +++ b/graphrag/callbacks/file_workflow_callbacks.py @@ -1,7 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""A reporter that writes to a file.""" +"""A logger that emits updates from the indexing engine to a local file.""" import json import logging @@ -14,12 +14,12 @@ class FileWorkflowCallbacks(NoopWorkflowCallbacks): - """A reporter that writes to a file.""" + """A logger that writes to a local file.""" _out_stream: TextIOWrapper def __init__(self, directory: str): - """Create a new file-based workflow reporter.""" + """Create a new file-based workflow logger.""" Path(directory).mkdir(parents=True, exist_ok=True) self._out_stream = open( # noqa: PTH123, SIM115 Path(directory) / "logs.json", "a", encoding="utf-8", errors="strict" @@ -34,13 +34,17 @@ def on_error( ): """Handle when an error occurs.""" self._out_stream.write( - json.dumps({ - "type": "error", - "data": message, - "stack": stack, - "source": str(cause), - "details": details, - }) + json.dumps( + { + "type": "error", + "data": message, + "stack": stack, + "source": str(cause), + "details": details, + }, + indent=4, + ensure_ascii=False, + ) + "\n" ) message = f"{message} details={details}" @@ -49,14 +53,21 @@ def on_error( def on_warning(self, message: str, details: dict | None = None): """Handle when a warning occurs.""" self._out_stream.write( - json.dumps({"type": "warning", "data": message, "details": details}) + "\n" + json.dumps( + {"type": "warning", "data": message, "details": details}, + ensure_ascii=False, + ) + + "\n" ) _print_warning(message) def on_log(self, message: str, details: dict | None = None): """Handle when a log message is produced.""" self._out_stream.write( - json.dumps({"type": "log", "data": message, "details": details}) + "\n" + json.dumps( + {"type": "log", "data": message, "details": details}, ensure_ascii=False + ) + + "\n" ) message = f"{message} details={details}" diff --git a/graphrag/query/structured_search/global_search/callbacks.py b/graphrag/callbacks/global_search_callbacks.py similarity index 92% rename from graphrag/query/structured_search/global_search/callbacks.py rename to graphrag/callbacks/global_search_callbacks.py index f48bb79b82..c8f1395bd9 100644 --- a/graphrag/query/structured_search/global_search/callbacks.py +++ b/graphrag/callbacks/global_search_callbacks.py @@ -3,7 +3,7 @@ """GlobalSearch LLM Callbacks.""" -from graphrag.query.llm.base import BaseLLMCallback +from graphrag.callbacks.llm_callbacks import BaseLLMCallback from graphrag.query.structured_search.base import SearchResult diff --git a/graphrag/callbacks/llm_callbacks.py b/graphrag/callbacks/llm_callbacks.py new file mode 100644 index 0000000000..5438e75a54 --- /dev/null +++ b/graphrag/callbacks/llm_callbacks.py @@ -0,0 +1,15 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""LLM Callbacks.""" + + +class BaseLLMCallback: + """Base class for LLM callbacks.""" + + def __init__(self): + self.response = [] + + def on_llm_new_token(self, token: str): + """Handle when a new token is generated.""" + self.response.append(token) diff --git a/graphrag/index/reporting/progress_workflow_callbacks.py b/graphrag/callbacks/progress_workflow_callbacks.py similarity index 93% rename from graphrag/index/reporting/progress_workflow_callbacks.py rename to graphrag/callbacks/progress_workflow_callbacks.py index 68f10d7530..d4c9407a58 100644 --- a/graphrag/index/reporting/progress_workflow_callbacks.py +++ b/graphrag/callbacks/progress_workflow_callbacks.py @@ -1,13 +1,13 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""A workflow callback manager that emits updates to a ProgressReporter.""" +"""A workflow callback manager that emits updates.""" from typing import Any from datashaper import ExecutionNode, NoopWorkflowCallbacks, Progress, TableContainer -from graphrag.index.progress import ProgressReporter +from graphrag.logging.base import ProgressReporter class ProgressWorkflowCallbacks(NoopWorkflowCallbacks): diff --git a/graphrag/index/verbs/graph/embed/strategies/__init__.py b/graphrag/cli/__init__.py similarity index 70% rename from graphrag/index/verbs/graph/embed/strategies/__init__.py rename to graphrag/cli/__init__.py index ef85198eb7..23017822da 100644 --- a/graphrag/index/verbs/graph/embed/strategies/__init__.py +++ b/graphrag/cli/__init__.py @@ -1,4 +1,4 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""Text Embedding strategies.""" +"""CLI for GraphRAG.""" diff --git a/graphrag/cli/index.py b/graphrag/cli/index.py new file mode 100644 index 0000000000..90a720fab4 --- /dev/null +++ b/graphrag/cli/index.py @@ -0,0 +1,207 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""CLI implementation of index subcommand.""" + +import asyncio +import logging +import sys +import time +import warnings +from pathlib import Path + +import graphrag.api as api +from graphrag.config.enums import CacheType +from graphrag.config.load_config import load_config +from graphrag.config.logging import enable_logging_with_config +from graphrag.config.resolve_path import resolve_paths +from graphrag.index.emit.types import TableEmitterType +from graphrag.index.validate_config import validate_config_names +from graphrag.logging.base import ProgressReporter +from graphrag.logging.factories import create_progress_reporter +from graphrag.logging.types import ReporterType +from graphrag.utils.cli import redact + +# Ignore warnings from numba +warnings.filterwarnings("ignore", message=".*NumbaDeprecationWarning.*") + +log = logging.getLogger(__name__) + + +def _logger(reporter: ProgressReporter): + def info(msg: str, verbose: bool = False): + log.info(msg) + if verbose: + reporter.info(msg) + + def error(msg: str, verbose: bool = False): + log.error(msg) + if verbose: + reporter.error(msg) + + def success(msg: str, verbose: bool = False): + log.info(msg) + if verbose: + reporter.success(msg) + + return info, error, success + + +def _register_signal_handlers(reporter: ProgressReporter): + import signal + + def handle_signal(signum, _): + # Handle the signal here + reporter.info(f"Received signal {signum}, exiting...") + reporter.dispose() + for task in asyncio.all_tasks(): + task.cancel() + reporter.info("All tasks cancelled. Exiting...") + + # Register signal handlers for SIGINT and SIGHUP + signal.signal(signal.SIGINT, handle_signal) + + if sys.platform != "win32": + signal.signal(signal.SIGHUP, handle_signal) + + +def index_cli( + root_dir: Path, + verbose: bool, + resume: str | None, + memprofile: bool, + cache: bool, + reporter: ReporterType, + config_filepath: Path | None, + emit: list[TableEmitterType], + dry_run: bool, + skip_validation: bool, + output_dir: Path | None, +): + """Run the pipeline with the given config.""" + config = load_config(root_dir, config_filepath) + + _run_index( + config=config, + verbose=verbose, + resume=resume, + memprofile=memprofile, + cache=cache, + reporter=reporter, + emit=emit, + dry_run=dry_run, + skip_validation=skip_validation, + output_dir=output_dir, + ) + + +def update_cli( + root_dir: Path, + verbose: bool, + memprofile: bool, + cache: bool, + reporter: ReporterType, + config_filepath: Path | None, + emit: list[TableEmitterType], + skip_validation: bool, + output_dir: Path | None, +): + """Run the pipeline with the given config.""" + config = load_config(root_dir, config_filepath) + + # Check if update storage exist, if not configure it with default values + if not config.update_index_storage: + from graphrag.config.defaults import STORAGE_TYPE, UPDATE_STORAGE_BASE_DIR + from graphrag.config.models.storage_config import StorageConfig + + config.update_index_storage = StorageConfig( + type=STORAGE_TYPE, + base_dir=UPDATE_STORAGE_BASE_DIR, + ) + + _run_index( + config=config, + verbose=verbose, + resume=False, + memprofile=memprofile, + cache=cache, + reporter=reporter, + emit=emit, + dry_run=False, + skip_validation=skip_validation, + output_dir=output_dir, + ) + + +def _run_index( + config, + verbose, + resume, + memprofile, + cache, + reporter, + emit, + dry_run, + skip_validation, + output_dir, +): + progress_reporter = create_progress_reporter(reporter) + info, error, success = _logger(progress_reporter) + run_id = resume or time.strftime("%Y%m%d-%H%M%S") + + config.storage.base_dir = str(output_dir) if output_dir else config.storage.base_dir + config.reporting.base_dir = ( + str(output_dir) if output_dir else config.reporting.base_dir + ) + resolve_paths(config, run_id) + + if not cache: + config.cache.type = CacheType.none + + enabled_logging, log_path = enable_logging_with_config(config, verbose) + if enabled_logging: + info(f"Logging enabled at {log_path}", True) + else: + info( + f"Logging not enabled for config {redact(config.model_dump())}", + True, + ) + + if skip_validation: + validate_config_names(progress_reporter, config) + + info(f"Starting pipeline run for: {run_id}, {dry_run=}", verbose) + info( + f"Using default configuration: {redact(config.model_dump())}", + verbose, + ) + + if dry_run: + info("Dry run complete, exiting...", True) + sys.exit(0) + + _register_signal_handlers(progress_reporter) + + outputs = asyncio.run( + api.build_index( + config=config, + run_id=run_id, + is_resume_run=bool(resume), + memory_profile=memprofile, + progress_reporter=progress_reporter, + emit=emit, + ) + ) + encountered_errors = any( + output.errors and len(output.errors) > 0 for output in outputs + ) + + progress_reporter.stop() + if encountered_errors: + error( + "Errors occurred during the pipeline run, see logs for more details.", True + ) + else: + success("All workflows completed successfully.", True) + + sys.exit(1 if encountered_errors else 0) diff --git a/graphrag/cli/initialize.py b/graphrag/cli/initialize.py new file mode 100644 index 0000000000..992d38f71e --- /dev/null +++ b/graphrag/cli/initialize.py @@ -0,0 +1,71 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""CLI implementation of initialization subcommand.""" + +from pathlib import Path + +from graphrag.config.init_content import INIT_DOTENV, INIT_YAML +from graphrag.logging.factories import create_progress_reporter +from graphrag.logging.types import ReporterType +from graphrag.prompts.index.claim_extraction import CLAIM_EXTRACTION_PROMPT +from graphrag.prompts.index.community_report import ( + COMMUNITY_REPORT_PROMPT, +) +from graphrag.prompts.index.entity_extraction import GRAPH_EXTRACTION_PROMPT +from graphrag.prompts.index.summarize_descriptions import SUMMARIZE_PROMPT +from graphrag.prompts.query.drift_search_system_prompt import DRIFT_LOCAL_SYSTEM_PROMPT +from graphrag.prompts.query.global_search_knowledge_system_prompt import ( + GENERAL_KNOWLEDGE_INSTRUCTION, +) +from graphrag.prompts.query.global_search_map_system_prompt import MAP_SYSTEM_PROMPT +from graphrag.prompts.query.global_search_reduce_system_prompt import ( + REDUCE_SYSTEM_PROMPT, +) +from graphrag.prompts.query.local_search_system_prompt import LOCAL_SEARCH_SYSTEM_PROMPT +from graphrag.prompts.query.question_gen_system_prompt import QUESTION_SYSTEM_PROMPT + + +def initialize_project_at(path: Path) -> None: + """Initialize the project at the given path.""" + progress_reporter = create_progress_reporter(ReporterType.RICH) + progress_reporter.info(f"Initializing project at {path}") + root = Path(path) + if not root.exists(): + root.mkdir(parents=True, exist_ok=True) + + settings_yaml = root / "settings.yaml" + if settings_yaml.exists(): + msg = f"Project already initialized at {root}" + raise ValueError(msg) + + with settings_yaml.open("wb") as file: + file.write(INIT_YAML.encode(encoding="utf-8", errors="strict")) + + dotenv = root / ".env" + if not dotenv.exists(): + with dotenv.open("wb") as file: + file.write(INIT_DOTENV.encode(encoding="utf-8", errors="strict")) + + prompts_dir = root / "prompts" + if not prompts_dir.exists(): + prompts_dir.mkdir(parents=True, exist_ok=True) + + prompts = { + "entity_extraction": GRAPH_EXTRACTION_PROMPT, + "summarize_descriptions": SUMMARIZE_PROMPT, + "claim_extraction": CLAIM_EXTRACTION_PROMPT, + "community_report": COMMUNITY_REPORT_PROMPT, + "drift_search_system_prompt": DRIFT_LOCAL_SYSTEM_PROMPT, + "global_search_map_system_prompt": MAP_SYSTEM_PROMPT, + "global_search_reduce_system_prompt": REDUCE_SYSTEM_PROMPT, + "global_search_knowledge_system_prompt": GENERAL_KNOWLEDGE_INSTRUCTION, + "local_search_system_prompt": LOCAL_SEARCH_SYSTEM_PROMPT, + "question_gen_system_prompt": QUESTION_SYSTEM_PROMPT, + } + + for name, content in prompts.items(): + prompt_file = prompts_dir / f"{name}.txt" + if not prompt_file.exists(): + with prompt_file.open("wb") as file: + file.write(content.encode(encoding="utf-8", errors="strict")) diff --git a/graphrag/cli/main.py b/graphrag/cli/main.py new file mode 100644 index 0000000000..919015ae31 --- /dev/null +++ b/graphrag/cli/main.py @@ -0,0 +1,459 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""CLI entrypoint.""" + +import os +import re +from collections.abc import Callable +from enum import Enum +from pathlib import Path +from typing import Annotated + +import typer + +from graphrag.index.emit.types import TableEmitterType +from graphrag.logging.types import ReporterType +from graphrag.prompt_tune.defaults import ( + MAX_TOKEN_COUNT, + MIN_CHUNK_SIZE, + N_SUBSET_MAX, + K, +) +from graphrag.prompt_tune.types import DocSelectionType + +INVALID_METHOD_ERROR = "Invalid method" + +app = typer.Typer( + help="GraphRAG: A graph-based retrieval-augmented generation (RAG) system.", + no_args_is_help=True, +) + + +# A workaround for typer's lack of support for proper autocompletion of file/directory paths +# For more detail, watch +# https://github.com/fastapi/typer/discussions/682 +# https://github.com/fastapi/typer/issues/951 +def path_autocomplete( + file_okay: bool = True, + dir_okay: bool = True, + readable: bool = True, + writable: bool = False, + match_wildcard: str | None = None, +) -> Callable[[str], list[str]]: + """Autocomplete file and directory paths.""" + + def wildcard_match(string: str, pattern: str) -> bool: + regex = re.escape(pattern).replace(r"\?", ".").replace(r"\*", ".*") + return re.fullmatch(regex, string) is not None + + def completer(incomplete: str) -> list[str]: + items = os.listdir() + completions = [] + for item in items: + if not file_okay and Path(item).is_file(): + continue + if not dir_okay and Path(item).is_dir(): + continue + if readable and not os.access(item, os.R_OK): + continue + if writable and not os.access(item, os.W_OK): + continue + completions.append(item) + if match_wildcard: + completions = filter( + lambda i: wildcard_match(i, match_wildcard) + if match_wildcard + else False, + completions, + ) + return [i for i in completions if i.startswith(incomplete)] + + return completer + + +class SearchType(Enum): + """The type of search to run.""" + + LOCAL = "local" + GLOBAL = "global" + DRIFT = "drift" + + def __str__(self): + """Return the string representation of the enum value.""" + return self.value + + +@app.command("init") +def _initialize_cli( + root: Annotated[ + Path, + typer.Option( + help="The project root directory.", + dir_okay=True, + writable=True, + resolve_path=True, + autocompletion=path_autocomplete( + file_okay=False, dir_okay=True, writable=True, match_wildcard="*" + ), + ), + ], +): + """Generate a default configuration file.""" + from graphrag.cli.initialize import initialize_project_at + + initialize_project_at(path=root) + + +@app.command("index") +def _index_cli( + config: Annotated[ + Path | None, + typer.Option( + help="The configuration to use.", exists=True, file_okay=True, readable=True + ), + ] = None, + root: Annotated[ + Path, + typer.Option( + help="The project root directory.", + exists=True, + dir_okay=True, + writable=True, + resolve_path=True, + autocompletion=path_autocomplete( + file_okay=False, dir_okay=True, writable=True, match_wildcard="*" + ), + ), + ] = Path(), # set default to current directory + verbose: Annotated[ + bool, typer.Option(help="Run the indexing pipeline with verbose logging") + ] = False, + memprofile: Annotated[ + bool, typer.Option(help="Run the indexing pipeline with memory profiling") + ] = False, + resume: Annotated[ + str | None, typer.Option(help="Resume a given indexing run") + ] = None, + reporter: Annotated[ + ReporterType, typer.Option(help="The progress reporter to use.") + ] = ReporterType.RICH, + emit: Annotated[ + str, typer.Option(help="The data formats to emit, comma-separated.") + ] = TableEmitterType.Parquet.value, + dry_run: Annotated[ + bool, + typer.Option( + help="Run the indexing pipeline without executing any steps to inspect and validate the configuration." + ), + ] = False, + cache: Annotated[bool, typer.Option(help="Use LLM cache.")] = True, + skip_validation: Annotated[ + bool, + typer.Option( + help="Skip any preflight validation. Useful when running no LLM steps." + ), + ] = False, + output: Annotated[ + Path | None, + typer.Option( + help="Indexing pipeline output directory. Overrides storage.base_dir in the configuration file.", + dir_okay=True, + writable=True, + resolve_path=True, + ), + ] = None, +): + """Build a knowledge graph index.""" + from graphrag.cli.index import index_cli + + index_cli( + root_dir=root, + verbose=verbose, + resume=resume, + memprofile=memprofile, + cache=cache, + reporter=ReporterType(reporter), + config_filepath=config, + emit=[TableEmitterType(value.strip()) for value in emit.split(",")], + dry_run=dry_run, + skip_validation=skip_validation, + output_dir=output, + ) + + +@app.command("update") +def _update_cli( + config: Annotated[ + Path | None, + typer.Option( + help="The configuration to use.", exists=True, file_okay=True, readable=True + ), + ] = None, + root: Annotated[ + Path, + typer.Option( + help="The project root directory.", + exists=True, + dir_okay=True, + writable=True, + resolve_path=True, + ), + ] = Path(), # set default to current directory + verbose: Annotated[ + bool, typer.Option(help="Run the indexing pipeline with verbose logging") + ] = False, + memprofile: Annotated[ + bool, typer.Option(help="Run the indexing pipeline with memory profiling") + ] = False, + reporter: Annotated[ + ReporterType, typer.Option(help="The progress reporter to use.") + ] = ReporterType.RICH, + emit: Annotated[ + str, typer.Option(help="The data formats to emit, comma-separated.") + ] = TableEmitterType.Parquet.value, + cache: Annotated[bool, typer.Option(help="Use LLM cache.")] = True, + skip_validation: Annotated[ + bool, + typer.Option( + help="Skip any preflight validation. Useful when running no LLM steps." + ), + ] = False, + output: Annotated[ + Path | None, + typer.Option( + help="Indexing pipeline output directory. Overrides storage.base_dir in the configuration file.", + dir_okay=True, + writable=True, + resolve_path=True, + ), + ] = None, +): + """ + Update an existing knowledge graph index. + + Applies a default storage configuration (if not provided by config), saving the new index to the local file system in the `update_output` folder. + """ + from graphrag.cli.index import update_cli + + update_cli( + root_dir=root, + verbose=verbose, + memprofile=memprofile, + cache=cache, + reporter=ReporterType(reporter), + config_filepath=config, + emit=[TableEmitterType(value.strip()) for value in emit.split(",")], + skip_validation=skip_validation, + output_dir=output, + ) + + +@app.command("prompt-tune") +def _prompt_tune_cli( + root: Annotated[ + Path, + typer.Option( + help="The project root directory.", + exists=True, + dir_okay=True, + writable=True, + resolve_path=True, + autocompletion=path_autocomplete( + file_okay=False, dir_okay=True, writable=True, match_wildcard="*" + ), + ), + ] = Path(), # set default to current directory + config: Annotated[ + Path | None, + typer.Option( + help="The configuration to use.", + exists=True, + file_okay=True, + readable=True, + autocompletion=path_autocomplete( + file_okay=True, dir_okay=False, match_wildcard="*" + ), + ), + ] = None, + domain: Annotated[ + str | None, + typer.Option( + help="The domain your input data is related to. For example 'space science', 'microbiology', 'environmental news'. If not defined, a domain will be inferred from the input data." + ), + ] = None, + selection_method: Annotated[ + DocSelectionType, typer.Option(help="The text chunk selection method.") + ] = DocSelectionType.RANDOM, + n_subset_max: Annotated[ + int, + typer.Option( + help="The number of text chunks to embed when --selection-method=auto." + ), + ] = N_SUBSET_MAX, + k: Annotated[ + int, + typer.Option( + help="The maximum number of documents to select from each centroid when --selection-method=auto." + ), + ] = K, + limit: Annotated[ + int, + typer.Option( + help="The number of documents to load when --selection-method={random,top}." + ), + ] = 15, + max_tokens: Annotated[ + int, typer.Option(help="The max token count for prompt generation.") + ] = MAX_TOKEN_COUNT, + min_examples_required: Annotated[ + int, + typer.Option( + help="The minimum number of examples to generate/include in the entity extraction prompt." + ), + ] = 2, + chunk_size: Annotated[ + int, typer.Option(help="The max token count for prompt generation.") + ] = MIN_CHUNK_SIZE, + language: Annotated[ + str | None, + typer.Option( + help="The primary language used for inputs and outputs in graphrag prompts." + ), + ] = None, + discover_entity_types: Annotated[ + bool, typer.Option(help="Discover and extract unspecified entity types.") + ] = True, + output: Annotated[ + Path, + typer.Option( + help="The directory to save prompts to, relative to the project root directory.", + dir_okay=True, + writable=True, + resolve_path=True, + ), + ] = Path("prompts"), +): + """Generate custom graphrag prompts with your own data (i.e. auto templating).""" + import asyncio + + from graphrag.cli.prompt_tune import prompt_tune + + loop = asyncio.get_event_loop() + loop.run_until_complete( + prompt_tune( + root=root, + config=config, + domain=domain, + selection_method=selection_method, + limit=limit, + max_tokens=max_tokens, + chunk_size=chunk_size, + language=language, + discover_entity_types=discover_entity_types, + output=output, + n_subset_max=n_subset_max, + k=k, + min_examples_required=min_examples_required, + ) + ) + + +@app.command("query") +def _query_cli( + method: Annotated[SearchType, typer.Option(help="The query algorithm to use.")], + query: Annotated[str, typer.Option(help="The query to execute.")], + config: Annotated[ + Path | None, + typer.Option( + help="The configuration to use.", + exists=True, + file_okay=True, + readable=True, + autocompletion=path_autocomplete( + file_okay=True, dir_okay=False, match_wildcard="*" + ), + ), + ] = None, + data: Annotated[ + Path | None, + typer.Option( + help="Indexing pipeline output directory (i.e. contains the parquet files).", + exists=True, + dir_okay=True, + readable=True, + resolve_path=True, + autocompletion=path_autocomplete( + file_okay=False, dir_okay=True, match_wildcard="*" + ), + ), + ] = None, + root: Annotated[ + Path, + typer.Option( + help="The project root directory.", + exists=True, + dir_okay=True, + writable=True, + resolve_path=True, + autocompletion=path_autocomplete( + file_okay=False, dir_okay=True, match_wildcard="*" + ), + ), + ] = Path(), # set default to current directory + community_level: Annotated[ + int, + typer.Option( + help="The community level in the Leiden community hierarchy from which to load community reports. Higher values represent reports from smaller communities." + ), + ] = 2, + dynamic_community_selection: Annotated[ + bool, + typer.Option(help="Use global search with dynamic community selection."), + ] = False, + response_type: Annotated[ + str, + typer.Option( + help="Free form text describing the response type and format, can be anything, e.g. Multiple Paragraphs, Single Paragraph, Single Sentence, List of 3-7 Points, Single Page, Multi-Page Report. Default: Multiple Paragraphs" + ), + ] = "Multiple Paragraphs", + streaming: Annotated[ + bool, typer.Option(help="Print response in a streaming manner.") + ] = False, +): + """Query a knowledge graph index.""" + from graphrag.cli.query import run_drift_search, run_global_search, run_local_search + + match method: + case SearchType.LOCAL: + run_local_search( + config_filepath=config, + data_dir=data, + root_dir=root, + community_level=community_level, + response_type=response_type, + streaming=streaming, + query=query, + ) + case SearchType.GLOBAL: + run_global_search( + config_filepath=config, + data_dir=data, + root_dir=root, + community_level=community_level, + dynamic_community_selection=dynamic_community_selection, + response_type=response_type, + streaming=streaming, + query=query, + ) + case SearchType.DRIFT: + run_drift_search( + config_filepath=config, + data_dir=data, + root_dir=root, + community_level=community_level, + streaming=False, # Drift search does not support streaming (yet) + query=query, + ) + case _: + raise ValueError(INVALID_METHOD_ERROR) diff --git a/graphrag/cli/prompt_tune.py b/graphrag/cli/prompt_tune.py new file mode 100644 index 0000000000..feaa08c32a --- /dev/null +++ b/graphrag/cli/prompt_tune.py @@ -0,0 +1,89 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""CLI implementation of prompt-tune subcommand.""" + +from pathlib import Path + +import graphrag.api as api +from graphrag.config.load_config import load_config +from graphrag.logging.print_progress import PrintProgressReporter +from graphrag.prompt_tune.generator.community_report_summarization import ( + COMMUNITY_SUMMARIZATION_FILENAME, +) +from graphrag.prompt_tune.generator.entity_extraction_prompt import ( + ENTITY_EXTRACTION_FILENAME, +) +from graphrag.prompt_tune.generator.entity_summarization_prompt import ( + ENTITY_SUMMARIZATION_FILENAME, +) + + +async def prompt_tune( + root: Path, + config: Path | None, + domain: str | None, + selection_method: api.DocSelectionType, + limit: int, + max_tokens: int, + chunk_size: int, + language: str | None, + discover_entity_types: bool, + output: Path, + n_subset_max: int, + k: int, + min_examples_required: int, +): + """Prompt tune the model. + + Parameters + ---------- + - config: The configuration file. + - root: The root directory. + - domain: The domain to map the input documents to. + - selection_method: The chunk selection method. + - limit: The limit of chunks to load. + - max_tokens: The maximum number of tokens to use on entity extraction prompts. + - chunk_size: The chunk token size to use. + - language: The language to use for the prompts. + - discover_entity_types: Generate entity types. + - output: The output folder to store the prompts. + - n_subset_max: The number of text chunks to embed when using auto selection method. + - k: The number of documents to select when using auto selection method. + - min_examples_required: The minimum number of examples required for entity extraction prompts. + """ + reporter = PrintProgressReporter("") + root_path = Path(root).resolve() + graph_config = load_config(root_path, config) + + prompts = await api.generate_indexing_prompts( + config=graph_config, + root=str(root_path), + chunk_size=chunk_size, + limit=limit, + selection_method=selection_method, + domain=domain, + language=language, + max_tokens=max_tokens, + discover_entity_types=discover_entity_types, + min_examples_required=min_examples_required, + n_subset_max=n_subset_max, + k=k, + ) + + output_path = output.resolve() + if output_path: + reporter.info(f"Writing prompts to {output_path}") + output_path.mkdir(parents=True, exist_ok=True) + entity_extraction_prompt_path = output_path / ENTITY_EXTRACTION_FILENAME + entity_summarization_prompt_path = output_path / ENTITY_SUMMARIZATION_FILENAME + community_summarization_prompt_path = ( + output_path / COMMUNITY_SUMMARIZATION_FILENAME + ) + # Write files to output path + with entity_extraction_prompt_path.open("wb") as file: + file.write(prompts[0].encode(encoding="utf-8", errors="strict")) + with entity_summarization_prompt_path.open("wb") as file: + file.write(prompts[1].encode(encoding="utf-8", errors="strict")) + with community_summarization_prompt_path.open("wb") as file: + file.write(prompts[2].encode(encoding="utf-8", errors="strict")) diff --git a/graphrag/cli/query.py b/graphrag/cli/query.py new file mode 100644 index 0000000000..ea9116c695 --- /dev/null +++ b/graphrag/cli/query.py @@ -0,0 +1,293 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""CLI implementation of query subcommand.""" + +import asyncio +import sys +from pathlib import Path + +import pandas as pd + +import graphrag.api as api +from graphrag.config.load_config import load_config +from graphrag.config.models.graph_rag_config import GraphRagConfig +from graphrag.config.resolve_path import resolve_paths +from graphrag.index.create_pipeline_config import create_pipeline_config +from graphrag.logging.print_progress import PrintProgressReporter +from graphrag.utils.storage import _create_storage, _load_table_from_storage + +reporter = PrintProgressReporter("") + + +def run_global_search( + config_filepath: Path | None, + data_dir: Path | None, + root_dir: Path, + community_level: int | None, + dynamic_community_selection: bool, + response_type: str, + streaming: bool, + query: str, +): + """Perform a global search with a given query. + + Loads index files required for global search and calls the Query API. + """ + root = root_dir.resolve() + config = load_config(root, config_filepath) + config.storage.base_dir = str(data_dir) if data_dir else config.storage.base_dir + resolve_paths(config) + + dataframe_dict = _resolve_parquet_files( + root_dir=root_dir, + config=config, + parquet_list=[ + "create_final_nodes.parquet", + "create_final_entities.parquet", + "create_final_communities.parquet", + "create_final_community_reports.parquet", + ], + optional_list=[], + ) + final_nodes: pd.DataFrame = dataframe_dict["create_final_nodes"] + final_entities: pd.DataFrame = dataframe_dict["create_final_entities"] + final_communities: pd.DataFrame = dataframe_dict["create_final_communities"] + final_community_reports: pd.DataFrame = dataframe_dict[ + "create_final_community_reports" + ] + + # call the Query API + if streaming: + + async def run_streaming_search(): + full_response = "" + context_data = None + get_context_data = True + async for stream_chunk in api.global_search_streaming( + config=config, + nodes=final_nodes, + entities=final_entities, + communities=final_communities, + community_reports=final_community_reports, + community_level=community_level, + dynamic_community_selection=dynamic_community_selection, + response_type=response_type, + query=query, + ): + if get_context_data: + context_data = stream_chunk + get_context_data = False + else: + full_response += stream_chunk + print(stream_chunk, end="") # noqa: T201 + sys.stdout.flush() # flush output buffer to display text immediately + print() # noqa: T201 + return full_response, context_data + + return asyncio.run(run_streaming_search()) + # not streaming + response, context_data = asyncio.run( + api.global_search( + config=config, + nodes=final_nodes, + entities=final_entities, + communities=final_communities, + community_reports=final_community_reports, + community_level=community_level, + dynamic_community_selection=dynamic_community_selection, + response_type=response_type, + query=query, + ) + ) + reporter.success(f"Global Search Response:\n{response}") + # NOTE: we return the response and context data here purely as a complete demonstration of the API. + # External users should use the API directly to get the response and context data. + return response, context_data + + +def run_local_search( + config_filepath: Path | None, + data_dir: Path | None, + root_dir: Path, + community_level: int, + response_type: str, + streaming: bool, + query: str, +): + """Perform a local search with a given query. + + Loads index files required for local search and calls the Query API. + """ + root = root_dir.resolve() + config = load_config(root, config_filepath) + config.storage.base_dir = str(data_dir) if data_dir else config.storage.base_dir + resolve_paths(config) + + # TODO remove optional create_final_entities_description_embeddings.parquet to delete backwards compatibility + dataframe_dict = _resolve_parquet_files( + root_dir=root_dir, + config=config, + parquet_list=[ + "create_final_nodes.parquet", + "create_final_community_reports.parquet", + "create_final_text_units.parquet", + "create_final_relationships.parquet", + "create_final_entities.parquet", + ], + optional_list=[ + "create_final_covariates.parquet", + ], + ) + final_nodes: pd.DataFrame = dataframe_dict["create_final_nodes"] + final_community_reports: pd.DataFrame = dataframe_dict[ + "create_final_community_reports" + ] + final_text_units: pd.DataFrame = dataframe_dict["create_final_text_units"] + final_relationships: pd.DataFrame = dataframe_dict["create_final_relationships"] + final_entities: pd.DataFrame = dataframe_dict["create_final_entities"] + final_covariates: pd.DataFrame | None = dataframe_dict["create_final_covariates"] + + # call the Query API + if streaming: + + async def run_streaming_search(): + full_response = "" + context_data = None + get_context_data = True + async for stream_chunk in api.local_search_streaming( + config=config, + nodes=final_nodes, + entities=final_entities, + community_reports=final_community_reports, + text_units=final_text_units, + relationships=final_relationships, + covariates=final_covariates, + community_level=community_level, + response_type=response_type, + query=query, + ): + if get_context_data: + context_data = stream_chunk + get_context_data = False + else: + full_response += stream_chunk + print(stream_chunk, end="") # noqa: T201 + sys.stdout.flush() # flush output buffer to display text immediately + print() # noqa: T201 + return full_response, context_data + + return asyncio.run(run_streaming_search()) + # not streaming + response, context_data = asyncio.run( + api.local_search( + config=config, + nodes=final_nodes, + entities=final_entities, + community_reports=final_community_reports, + text_units=final_text_units, + relationships=final_relationships, + covariates=final_covariates, + community_level=community_level, + response_type=response_type, + query=query, + ) + ) + reporter.success(f"Local Search Response:\n{response}") + # NOTE: we return the response and context data here purely as a complete demonstration of the API. + # External users should use the API directly to get the response and context data. + return response, context_data + + +def run_drift_search( + config_filepath: Path | None, + data_dir: Path | None, + root_dir: Path, + community_level: int, + streaming: bool, + query: str, +): + """Perform a local search with a given query. + + Loads index files required for local search and calls the Query API. + """ + root = root_dir.resolve() + config = load_config(root, config_filepath) + config.storage.base_dir = str(data_dir) if data_dir else config.storage.base_dir + resolve_paths(config) + + dataframe_dict = _resolve_parquet_files( + root_dir=root_dir, + config=config, + parquet_list=[ + "create_final_nodes.parquet", + "create_final_community_reports.parquet", + "create_final_text_units.parquet", + "create_final_relationships.parquet", + "create_final_entities.parquet", + ], + ) + final_nodes: pd.DataFrame = dataframe_dict["create_final_nodes"] + final_community_reports: pd.DataFrame = dataframe_dict[ + "create_final_community_reports" + ] + final_text_units: pd.DataFrame = dataframe_dict["create_final_text_units"] + final_relationships: pd.DataFrame = dataframe_dict["create_final_relationships"] + final_entities: pd.DataFrame = dataframe_dict["create_final_entities"] + + # call the Query API + if streaming: + error_msg = "Streaming is not supported yet for DRIFT search." + raise NotImplementedError(error_msg) + + # not streaming + response, context_data = asyncio.run( + api.drift_search( + config=config, + nodes=final_nodes, + entities=final_entities, + community_reports=final_community_reports, + text_units=final_text_units, + relationships=final_relationships, + community_level=community_level, + query=query, + ) + ) + reporter.success(f"DRIFT Search Response:\n{response}") + # NOTE: we return the response and context data here purely as a complete demonstration of the API. + # External users should use the API directly to get the response and context data. + # TODO: Map/Reduce Drift Search answer to a single response + return response, context_data + + +def _resolve_parquet_files( + root_dir: Path, + config: GraphRagConfig, + parquet_list: list[str], + optional_list: list[str] | None = None, +) -> dict[str, pd.DataFrame]: + """Read parquet files to a dataframe dict.""" + dataframe_dict = {} + pipeline_config = create_pipeline_config(config) + storage_obj = _create_storage(root_dir=root_dir, config=pipeline_config.storage) + for parquet_file in parquet_list: + df_key = parquet_file.split(".")[0] + df_value = asyncio.run( + _load_table_from_storage(name=parquet_file, storage=storage_obj) + ) + dataframe_dict[df_key] = df_value + + # for optional parquet files, set the dict entry to None instead of erroring out if it does not exist + if optional_list: + for optional_file in optional_list: + file_exists = asyncio.run(storage_obj.has(optional_file)) + df_key = optional_file.split(".")[0] + if file_exists: + df_value = asyncio.run( + _load_table_from_storage(name=optional_file, storage=storage_obj) + ) + dataframe_dict[df_key] = df_value + else: + dataframe_dict[df_key] = None + + return dataframe_dict diff --git a/graphrag/config/__init__.py b/graphrag/config/__init__.py index 118018a98f..90e6e010af 100644 --- a/graphrag/config/__init__.py +++ b/graphrag/config/__init__.py @@ -2,122 +2,3 @@ # Licensed under the MIT License """The Indexing Engine default config package root.""" - -from .create_graphrag_config import ( - create_graphrag_config, -) -from .enums import ( - CacheType, - InputFileType, - InputType, - LLMType, - ReportingType, - StorageType, - TextEmbeddingTarget, -) -from .errors import ( - ApiKeyMissingError, - AzureApiBaseMissingError, - AzureDeploymentNameMissingError, -) -from .input_models import ( - CacheConfigInput, - ChunkingConfigInput, - ClaimExtractionConfigInput, - ClusterGraphConfigInput, - CommunityReportsConfigInput, - EmbedGraphConfigInput, - EntityExtractionConfigInput, - GlobalSearchConfigInput, - GraphRagConfigInput, - InputConfigInput, - LLMConfigInput, - LLMParametersInput, - LocalSearchConfigInput, - ParallelizationParametersInput, - ReportingConfigInput, - SnapshotsConfigInput, - StorageConfigInput, - SummarizeDescriptionsConfigInput, - TextEmbeddingConfigInput, - UmapConfigInput, -) -from .models import ( - CacheConfig, - ChunkingConfig, - ClaimExtractionConfig, - ClusterGraphConfig, - CommunityReportsConfig, - EmbedGraphConfig, - EntityExtractionConfig, - GlobalSearchConfig, - GraphRagConfig, - InputConfig, - LLMConfig, - LLMParameters, - LocalSearchConfig, - ParallelizationParameters, - ReportingConfig, - SnapshotsConfig, - StorageConfig, - SummarizeDescriptionsConfig, - TextEmbeddingConfig, - UmapConfig, -) -from .read_dotenv import read_dotenv - -__all__ = [ - "ApiKeyMissingError", - "AzureApiBaseMissingError", - "AzureDeploymentNameMissingError", - "CacheConfig", - "CacheConfigInput", - "CacheType", - "ChunkingConfig", - "ChunkingConfigInput", - "ClaimExtractionConfig", - "ClaimExtractionConfigInput", - "ClusterGraphConfig", - "ClusterGraphConfigInput", - "CommunityReportsConfig", - "CommunityReportsConfigInput", - "EmbedGraphConfig", - "EmbedGraphConfigInput", - "EntityExtractionConfig", - "EntityExtractionConfigInput", - "GlobalSearchConfig", - "GlobalSearchConfigInput", - "GraphRagConfig", - "GraphRagConfigInput", - "InputConfig", - "InputConfigInput", - "InputFileType", - "InputType", - "LLMConfig", - "LLMConfigInput", - "LLMParameters", - "LLMParametersInput", - "LLMType", - "LocalSearchConfig", - "LocalSearchConfigInput", - "ParallelizationParameters", - "ParallelizationParametersInput", - "ReportingConfig", - "ReportingConfigInput", - "ReportingType", - "SnapshotsConfig", - "SnapshotsConfigInput", - "StorageConfig", - "StorageConfigInput", - "StorageType", - "StorageType", - "SummarizeDescriptionsConfig", - "SummarizeDescriptionsConfigInput", - "TextEmbeddingConfig", - "TextEmbeddingConfigInput", - "TextEmbeddingTarget", - "UmapConfig", - "UmapConfigInput", - "create_graphrag_config", - "read_dotenv", -] diff --git a/graphrag/config/config_file_loader.py b/graphrag/config/config_file_loader.py new file mode 100644 index 0000000000..4ab930a374 --- /dev/null +++ b/graphrag/config/config_file_loader.py @@ -0,0 +1,179 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Load a GraphRagConfiguration from a file.""" + +import json +from abc import ABC, abstractmethod +from pathlib import Path + +import yaml + +from graphrag.config.create_graphrag_config import create_graphrag_config +from graphrag.config.models.graph_rag_config import GraphRagConfig + +_default_config_files = ["settings.yaml", "settings.yml", "settings.json"] + + +def search_for_config_in_root_dir(root: str | Path) -> Path | None: + """Resolve the config path from the given root directory. + + Parameters + ---------- + root : str | Path + The path to the root directory containing the config file. + Searches for a default config file (settings.{yaml,yml,json}). + + Returns + ------- + Path | None + returns a Path if there is a config in the root directory + Otherwise returns None. + """ + root = Path(root) + + if not root.is_dir(): + msg = f"Invalid config path: {root} is not a directory" + raise FileNotFoundError(msg) + + for file in _default_config_files: + if (root / file).is_file(): + return root / file + + return None + + +class ConfigFileLoader(ABC): + """Base class for loading a configuration from a file.""" + + @abstractmethod + def load_config(self, config_path: str | Path) -> GraphRagConfig: + """Load configuration from a file.""" + raise NotImplementedError + + +class ConfigYamlLoader(ConfigFileLoader): + """Load a configuration from a yaml file.""" + + def load_config(self, config_path: str | Path) -> GraphRagConfig: + """Load a configuration from a yaml file. + + Parameters + ---------- + config_path : str | Path + The path to the yaml file to load. + + Returns + ------- + GraphRagConfig + The loaded configuration. + + Raises + ------ + ValueError + If the file extension is not .yaml or .yml. + FileNotFoundError + If the config file is not found. + """ + config_path = Path(config_path) + if config_path.suffix not in [".yaml", ".yml"]: + msg = f"Invalid file extension for loading yaml config from: {config_path!s}. Expected .yaml or .yml" + raise ValueError(msg) + root_dir = str(config_path.parent) + if not config_path.is_file(): + msg = f"Config file not found: {config_path}" + raise FileNotFoundError(msg) + with config_path.open("rb") as file: + data = yaml.safe_load(file.read().decode(encoding="utf-8", errors="strict")) + return create_graphrag_config(data, root_dir) + + +class ConfigJsonLoader(ConfigFileLoader): + """Load a configuration from a json file.""" + + def load_config(self, config_path: str | Path) -> GraphRagConfig: + """Load a configuration from a json file. + + Parameters + ---------- + config_path : str | Path + The path to the json file to load. + + Returns + ------- + GraphRagConfig + The loaded configuration. + + Raises + ------ + ValueError + If the file extension is not .json. + FileNotFoundError + If the config file is not found. + """ + config_path = Path(config_path) + root_dir = str(config_path.parent) + if config_path.suffix != ".json": + msg = f"Invalid file extension for loading json config from: {config_path!s}. Expected .json" + raise ValueError(msg) + if not config_path.is_file(): + msg = f"Config file not found: {config_path}" + raise FileNotFoundError(msg) + with config_path.open("rb") as file: + data = json.loads(file.read().decode(encoding="utf-8", errors="strict")) + return create_graphrag_config(data, root_dir) + + +def get_config_file_loader(config_path: str | Path) -> ConfigFileLoader: + """Config File Loader Factory. + + Parameters + ---------- + config_path : str | Path + The path to the config file. + + Returns + ------- + ConfigFileLoader + The config file loader for the provided config file. + + Raises + ------ + ValueError + If the config file extension is not supported. + """ + config_path = Path(config_path) + ext = config_path.suffix + match ext: + case ".yaml" | ".yml": + return ConfigYamlLoader() + case ".json": + return ConfigJsonLoader() + case _: + msg = f"Unsupported config file extension: {ext}" + raise ValueError(msg) + + +def load_config_from_file(config_path: str | Path) -> GraphRagConfig: + """Load a configuration from a file. + + Parameters + ---------- + config_path : str | Path + The path to the configuration file. + Supports .yaml, .yml, and .json config files. + + Returns + ------- + GraphRagConfig + The loaded configuration. + + Raises + ------ + ValueError + If the file extension is not supported. + FileNotFoundError + If the config file is not found. + """ + loader = get_config_file_loader(config_path) + return loader.load_config(config_path) diff --git a/graphrag/config/create_graphrag_config.py b/graphrag/config/create_graphrag_config.py index 37a4477e00..2e0f1005dd 100644 --- a/graphrag/config/create_graphrag_config.py +++ b/graphrag/config/create_graphrag_config.py @@ -13,8 +13,7 @@ from pydantic import TypeAdapter import graphrag.config.defaults as defs - -from .enums import ( +from graphrag.config.enums import ( CacheType, InputFileType, InputType, @@ -23,38 +22,37 @@ StorageType, TextEmbeddingTarget, ) -from .environment_reader import EnvironmentReader -from .errors import ( +from graphrag.config.environment_reader import EnvironmentReader +from graphrag.config.errors import ( ApiKeyMissingError, AzureApiBaseMissingError, AzureDeploymentNameMissingError, ) -from .input_models import ( - GraphRagConfigInput, - LLMConfigInput, -) -from .models import ( - CacheConfig, - ChunkingConfig, - ClaimExtractionConfig, - ClusterGraphConfig, - CommunityReportsConfig, - EmbedGraphConfig, - EntityExtractionConfig, - GlobalSearchConfig, - GraphRagConfig, - InputConfig, - LLMParameters, - LocalSearchConfig, - ParallelizationParameters, - ReportingConfig, - SnapshotsConfig, - StorageConfig, +from graphrag.config.input_models.graphrag_config_input import GraphRagConfigInput +from graphrag.config.input_models.llm_config_input import LLMConfigInput +from graphrag.config.models.cache_config import CacheConfig +from graphrag.config.models.chunking_config import ChunkingConfig +from graphrag.config.models.claim_extraction_config import ClaimExtractionConfig +from graphrag.config.models.cluster_graph_config import ClusterGraphConfig +from graphrag.config.models.community_reports_config import CommunityReportsConfig +from graphrag.config.models.drift_search_config import DRIFTSearchConfig +from graphrag.config.models.embed_graph_config import EmbedGraphConfig +from graphrag.config.models.entity_extraction_config import EntityExtractionConfig +from graphrag.config.models.global_search_config import GlobalSearchConfig +from graphrag.config.models.graph_rag_config import GraphRagConfig +from graphrag.config.models.input_config import InputConfig +from graphrag.config.models.llm_parameters import LLMParameters +from graphrag.config.models.local_search_config import LocalSearchConfig +from graphrag.config.models.parallelization_parameters import ParallelizationParameters +from graphrag.config.models.reporting_config import ReportingConfig +from graphrag.config.models.snapshots_config import SnapshotsConfig +from graphrag.config.models.storage_config import StorageConfig +from graphrag.config.models.summarize_descriptions_config import ( SummarizeDescriptionsConfig, - TextEmbeddingConfig, - UmapConfig, ) -from .read_dotenv import read_dotenv +from graphrag.config.models.text_embedding_config import TextEmbeddingConfig +from graphrag.config.models.umap_config import UmapConfig +from graphrag.config.read_dotenv import read_dotenv InputModelValidator = TypeAdapter(GraphRagConfigInput) @@ -83,10 +81,7 @@ def hydrate_llm_params( llm_type = LLMType(llm_type) if llm_type else base.type api_key = reader.str(Fragment.api_key) or base.api_key api_base = reader.str(Fragment.api_base) or base.api_base - cognitive_services_endpoint = ( - reader.str(Fragment.cognitive_services_endpoint) - or base.cognitive_services_endpoint - ) + audience = reader.str(Fragment.audience) or base.audience deployment_name = ( reader.str(Fragment.deployment_name) or base.deployment_name ) @@ -119,7 +114,7 @@ def hydrate_llm_params( or base.model_supports_json, request_timeout=reader.float(Fragment.request_timeout) or base.request_timeout, - cognitive_services_endpoint=cognitive_services_endpoint, + audience=audience, deployment_name=deployment_name, tokens_per_minute=reader.int("tokens_per_minute", Fragment.tpm) or base.tokens_per_minute, @@ -141,7 +136,7 @@ def hydrate_embeddings_params( api_type = LLMType(api_type) if api_type else defs.LLM_TYPE api_key = reader.str(Fragment.api_key) or base.api_key - # In a unique events where: + # Account for various permutations of config settings such as: # - same api_bases for LLM and embeddings (both Azure) # - different api_bases for LLM and embeddings (both Azure) # - LLM uses Azure OpenAI, while embeddings uses base OpenAI (this one is important) @@ -158,10 +153,7 @@ def hydrate_embeddings_params( ) api_organization = reader.str("organization") or base.organization api_proxy = reader.str("proxy") or base.proxy - cognitive_services_endpoint = ( - reader.str(Fragment.cognitive_services_endpoint) - or base.cognitive_services_endpoint - ) + audience = reader.str(Fragment.audience) or base.audience deployment_name = reader.str(Fragment.deployment_name) if api_key is None and not _is_azure(api_type): @@ -186,7 +178,7 @@ def hydrate_embeddings_params( model=reader.str(Fragment.model) or defs.EMBEDDING_MODEL, request_timeout=reader.float(Fragment.request_timeout) or defs.LLM_REQUEST_TIMEOUT, - cognitive_services_endpoint=cognitive_services_endpoint, + audience=audience, deployment_name=deployment_name, tokens_per_minute=reader.int("tokens_per_minute", Fragment.tpm) or defs.LLM_TOKENS_PER_MINUTE, @@ -237,9 +229,7 @@ def hydrate_parallelization_params( api_base = reader.str(Fragment.api_base) or fallback_oai_base api_version = reader.str(Fragment.api_version) or fallback_oai_version api_proxy = reader.str(Fragment.api_proxy) or fallback_oai_proxy - cognitive_services_endpoint = reader.str( - Fragment.cognitive_services_endpoint - ) + audience = reader.str(Fragment.audience) deployment_name = reader.str(Fragment.deployment_name) if api_key is None and not _is_azure(llm_type): @@ -270,7 +260,7 @@ def hydrate_parallelization_params( model_supports_json=reader.bool(Fragment.model_supports_json), request_timeout=reader.float(Fragment.request_timeout) or defs.LLM_REQUEST_TIMEOUT, - cognitive_services_endpoint=cognitive_services_endpoint, + audience=audience, deployment_name=deployment_name, tokens_per_minute=reader.int(Fragment.tpm) or defs.LLM_TOKENS_PER_MINUTE, @@ -294,13 +284,15 @@ def hydrate_parallelization_params( embeddings_config = values.get("embeddings") or {} with reader.envvar_prefix(Section.embedding), reader.use(embeddings_config): embeddings_target = reader.str("target") + # TODO: remove the type ignore annotations below once the new config engine has been refactored embeddings_model = TextEmbeddingConfig( - llm=hydrate_embeddings_params(embeddings_config, llm_model), + llm=hydrate_embeddings_params(embeddings_config, llm_model), # type: ignore parallelization=hydrate_parallelization_params( - embeddings_config, llm_parallelization_model + embeddings_config, # type: ignore + llm_parallelization_model, # type: ignore ), vector_store=embeddings_config.get("vector_store", None), - async_mode=hydrate_async_type(embeddings_config, async_mode), + async_mode=hydrate_async_type(embeddings_config, async_mode), # type: ignore target=( TextEmbeddingTarget(embeddings_target) if embeddings_target @@ -381,12 +373,35 @@ def hydrate_parallelization_params( container_name=reader.str(Fragment.container_name), base_dir=reader.str(Fragment.base_dir) or defs.STORAGE_BASE_DIR, ) + + with ( + reader.envvar_prefix(Section.update_index_storage), + reader.use(values.get("update_index_storage")), + ): + s_type = reader.str(Fragment.type) + if s_type: + update_index_storage_model = StorageConfig( + type=StorageType(s_type) if s_type else defs.STORAGE_TYPE, + connection_string=reader.str(Fragment.conn_string), + storage_account_blob_url=reader.str( + Fragment.storage_account_blob_url + ), + container_name=reader.str(Fragment.container_name), + base_dir=reader.str(Fragment.base_dir) + or defs.UPDATE_STORAGE_BASE_DIR, + ) + else: + update_index_storage_model = None with reader.envvar_prefix(Section.chunk), reader.use(values.get("chunks")): + group_by_columns = reader.list("group_by_columns", "BY_COLUMNS") + if group_by_columns is None: + group_by_columns = defs.CHUNK_GROUP_BY_COLUMNS + chunks_model = ChunkingConfig( size=reader.int("size") or defs.CHUNK_SIZE, overlap=reader.int("overlap") or defs.CHUNK_OVERLAP, - group_by_columns=reader.list("group_by_columns", "BY_COLUMNS") - or defs.CHUNK_GROUP_BY_COLUMNS, + group_by_columns=group_by_columns, + encoding_model=reader.str(Fragment.encoding_model), ) with ( reader.envvar_prefix(Section.snapshot), @@ -397,6 +412,8 @@ def hydrate_parallelization_params( raw_entities=reader.bool("raw_entities") or defs.SNAPSHOTS_RAW_ENTITIES, top_level_nodes=reader.bool("top_level_nodes") or defs.SNAPSHOTS_TOP_LEVEL_NODES, + embeddings=reader.bool("embeddings") or defs.SNAPSHOTS_EMBEDDINGS, + transient=reader.bool("transient") or defs.SNAPSHOTS_TRANSIENT, ) with reader.envvar_prefix(Section.umap), reader.use(values.get("umap")): umap_model = UmapConfig( @@ -408,6 +425,13 @@ def hydrate_parallelization_params( reader.envvar_prefix(Section.entity_extraction), reader.use(entity_extraction_config), ): + max_gleanings = reader.int(Fragment.max_gleanings) + max_gleanings = ( + max_gleanings + if max_gleanings is not None + else defs.ENTITY_EXTRACTION_MAX_GLEANINGS + ) + entity_extraction_model = EntityExtractionConfig( llm=hydrate_llm_params(entity_extraction_config, llm_model), parallelization=hydrate_parallelization_params( @@ -416,9 +440,10 @@ def hydrate_parallelization_params( async_mode=hydrate_async_type(entity_extraction_config, async_mode), entity_types=reader.list("entity_types") or defs.ENTITY_EXTRACTION_ENTITY_TYPES, - max_gleanings=reader.int(Fragment.max_gleanings) - or defs.ENTITY_EXTRACTION_MAX_GLEANINGS, + max_gleanings=max_gleanings, prompt=reader.str("prompt", Fragment.prompt_file), + strategy=entity_extraction_config.get("strategy"), + encoding_model=reader.str(Fragment.encoding_model), ) claim_extraction_config = values.get("claim_extraction") or {} @@ -426,6 +451,10 @@ def hydrate_parallelization_params( reader.envvar_prefix(Section.claim_extraction), reader.use(claim_extraction_config), ): + max_gleanings = reader.int(Fragment.max_gleanings) + max_gleanings = ( + max_gleanings if max_gleanings is not None else defs.CLAIM_MAX_GLEANINGS + ) claim_extraction_model = ClaimExtractionConfig( enabled=reader.bool(Fragment.enabled) or defs.CLAIM_EXTRACTION_ENABLED, llm=hydrate_llm_params(claim_extraction_config, llm_model), @@ -435,8 +464,8 @@ def hydrate_parallelization_params( async_mode=hydrate_async_type(claim_extraction_config, async_mode), description=reader.str("description") or defs.CLAIM_DESCRIPTION, prompt=reader.str("prompt", Fragment.prompt_file), - max_gleanings=reader.int(Fragment.max_gleanings) - or defs.CLAIM_MAX_GLEANINGS, + max_gleanings=max_gleanings, + encoding_model=reader.str(Fragment.encoding_model), ) community_report_config = values.get("community_reports") or {} @@ -483,6 +512,7 @@ def hydrate_parallelization_params( reader.envvar_prefix(Section.local_search), ): local_search_model = LocalSearchConfig( + prompt=reader.str("prompt") or None, text_unit_prop=reader.float("text_unit_prop") or defs.LOCAL_SEARCH_TEXT_UNIT_PROP, community_prop=reader.float("community_prop") @@ -510,6 +540,9 @@ def hydrate_parallelization_params( reader.envvar_prefix(Section.global_search), ): global_search_model = GlobalSearchConfig( + map_prompt=reader.str("map_prompt") or None, + reduce_prompt=reader.str("reduce_prompt") or None, + knowledge_prompt=reader.str("knowledge_prompt") or None, temperature=reader.float("llm_temperature") or defs.GLOBAL_SEARCH_LLM_TEMPERATURE, top_p=reader.float("llm_top_p") or defs.GLOBAL_SEARCH_LLM_TOP_P, @@ -525,6 +558,54 @@ def hydrate_parallelization_params( concurrency=reader.int("concurrency") or defs.GLOBAL_SEARCH_CONCURRENCY, ) + with ( + reader.use(values.get("drift_search")), + reader.envvar_prefix(Section.drift_search), + ): + drift_search_model = DRIFTSearchConfig( + prompt=reader.str("prompt") or None, + temperature=reader.float("llm_temperature") + or defs.DRIFT_SEARCH_LLM_TEMPERATURE, + top_p=reader.float("llm_top_p") or defs.DRIFT_SEARCH_LLM_TOP_P, + n=reader.int("llm_n") or defs.DRIFT_SEARCH_LLM_N, + max_tokens=reader.int(Fragment.max_tokens) + or defs.DRIFT_SEARCH_MAX_TOKENS, + data_max_tokens=reader.int("data_max_tokens") + or defs.DRIFT_SEARCH_DATA_MAX_TOKENS, + concurrency=reader.int("concurrency") or defs.DRIFT_SEARCH_CONCURRENCY, + drift_k_followups=reader.int("drift_k_followups") + or defs.DRIFT_SEARCH_K_FOLLOW_UPS, + primer_folds=reader.int("primer_folds") + or defs.DRIFT_SEARCH_PRIMER_FOLDS, + primer_llm_max_tokens=reader.int("primer_llm_max_tokens") + or defs.DRIFT_SEARCH_PRIMER_MAX_TOKENS, + n_depth=reader.int("n_depth") or defs.DRIFT_N_DEPTH, + local_search_text_unit_prop=reader.float("local_search_text_unit_prop") + or defs.DRIFT_LOCAL_SEARCH_TEXT_UNIT_PROP, + local_search_community_prop=reader.float("local_search_community_prop") + or defs.DRIFT_LOCAL_SEARCH_COMMUNITY_PROP, + local_search_top_k_mapped_entities=reader.int( + "local_search_top_k_mapped_entities" + ) + or defs.DRIFT_LOCAL_SEARCH_TOP_K_MAPPED_ENTITIES, + local_search_top_k_relationships=reader.int( + "local_search_top_k_relationships" + ) + or defs.DRIFT_LOCAL_SEARCH_TOP_K_RELATIONSHIPS, + local_search_max_data_tokens=reader.int("local_search_max_data_tokens") + or defs.DRIFT_LOCAL_SEARCH_MAX_TOKENS, + local_search_temperature=reader.float("local_search_temperature") + or defs.DRIFT_LOCAL_SEARCH_LLM_TEMPERATURE, + local_search_top_p=reader.float("local_search_top_p") + or defs.DRIFT_LOCAL_SEARCH_LLM_TOP_P, + local_search_n=reader.int("local_search_n") + or defs.DRIFT_LOCAL_SEARCH_LLM_N, + local_search_llm_max_gen_tokens=reader.int( + "local_search_llm_max_gen_tokens" + ) + or defs.DRIFT_LOCAL_SEARCH_LLM_MAX_TOKENS, + ) + encoding_model = reader.str(Fragment.encoding_model) or defs.ENCODING_MODEL skip_workflows = reader.list("skip_workflows") or [] @@ -537,6 +618,7 @@ def hydrate_parallelization_params( embed_graph=embed_graph_model, reporting=reporting_model, storage=storage_model, + update_index_storage=update_index_storage_model, cache=cache_model, input=input_model, chunks=chunks_model, @@ -551,6 +633,7 @@ def hydrate_parallelization_params( skip_workflows=skip_workflows, local_search=local_search_model, global_search=global_search_model, + drift_search=drift_search_model, ) @@ -563,8 +646,8 @@ class Fragment(str, Enum): api_organization = "API_ORGANIZATION" api_proxy = "API_PROXY" async_mode = "ASYNC_MODE" + audience = "AUDIENCE" base_dir = "BASE_DIR" - cognitive_services_endpoint = "COGNITIVE_SERVICES_ENDPOINT" concurrent_requests = "CONCURRENT_REQUESTS" conn_string = "CONNECTION_STRING" container_name = "CONTAINER_NAME" @@ -614,8 +697,10 @@ class Section(str, Enum): storage = "STORAGE" summarize_descriptions = "SUMMARIZE_DESCRIPTIONS" umap = "UMAP" + update_index_storage = "UPDATE_INDEX_STORAGE" local_search = "LOCAL_SEARCH" global_search = "GLOBAL_SEARCH" + drift_search = "DRIFT_SEARCH" def _is_azure(llm_type: LLMType | None) -> bool: diff --git a/graphrag/config/defaults.py b/graphrag/config/defaults.py index 4d6489140a..ecfe632eaa 100644 --- a/graphrag/config/defaults.py +++ b/graphrag/config/defaults.py @@ -3,9 +3,11 @@ """Common default configuration values.""" +from pathlib import Path + from datashaper import AsyncType -from .enums import ( +from graphrag.config.enums import ( CacheType, InputFileType, InputType, @@ -14,6 +16,7 @@ StorageType, TextEmbeddingTarget, ) +from graphrag.vector_stores.factory import VectorStoreType ASYNC_MODE = AsyncType.Threaded ENCODING_MODEL = "cl100k_base" @@ -74,14 +77,24 @@ NODE2VEC_ITERATIONS = 3 NODE2VEC_RANDOM_SEED = 597832 REPORTING_TYPE = ReportingType.file -REPORTING_BASE_DIR = "output/${timestamp}/reports" +REPORTING_BASE_DIR = "logs" SNAPSHOTS_GRAPHML = False SNAPSHOTS_RAW_ENTITIES = False SNAPSHOTS_TOP_LEVEL_NODES = False -STORAGE_BASE_DIR = "output/${timestamp}/artifacts" +SNAPSHOTS_EMBEDDINGS = False +SNAPSHOTS_TRANSIENT = False +STORAGE_BASE_DIR = "output" STORAGE_TYPE = StorageType.file SUMMARIZE_DESCRIPTIONS_MAX_LENGTH = 500 UMAP_ENABLED = False +UPDATE_STORAGE_BASE_DIR = "update_output" + +VECTOR_STORE = f""" + type: {VectorStoreType.LanceDB.value} + db_uri: '{(Path(STORAGE_BASE_DIR) / "lancedb")!s}' + container_name: default + overwrite: true\ +""" # Local Search LOCAL_SEARCH_TEXT_UNIT_PROP = 0.5 @@ -104,3 +117,36 @@ GLOBAL_SEARCH_MAP_MAX_TOKENS = 1000 GLOBAL_SEARCH_REDUCE_MAX_TOKENS = 2_000 GLOBAL_SEARCH_CONCURRENCY = 32 + +# Global Search with dynamic community selection +DYNAMIC_SEARCH_LLM_MODEL = "gpt-4o-mini" +DYNAMIC_SEARCH_RATE_THRESHOLD = 1 +DYNAMIC_SEARCH_KEEP_PARENT = False +DYNAMIC_SEARCH_NUM_REPEATS = 1 +DYNAMIC_SEARCH_USE_SUMMARY = False +DYNAMIC_SEARCH_CONCURRENT_COROUTINES = 16 +DYNAMIC_SEARCH_MAX_LEVEL = 2 + +# DRIFT Search +DRIFT_SEARCH_LLM_TEMPERATURE = 0 +DRIFT_SEARCH_LLM_TOP_P = 1 +DRIFT_SEARCH_LLM_N = 3 +DRIFT_SEARCH_MAX_TOKENS = 12_000 +DRIFT_SEARCH_DATA_MAX_TOKENS = 12_000 +DRIFT_SEARCH_CONCURRENCY = 32 + +DRIFT_SEARCH_K_FOLLOW_UPS = 20 +DRIFT_SEARCH_PRIMER_FOLDS = 5 +DRIFT_SEARCH_PRIMER_MAX_TOKENS = 12_000 + +DRIFT_LOCAL_SEARCH_TEXT_UNIT_PROP = 0.9 +DRIFT_LOCAL_SEARCH_COMMUNITY_PROP = 0.1 +DRIFT_LOCAL_SEARCH_TOP_K_MAPPED_ENTITIES = 10 +DRIFT_LOCAL_SEARCH_TOP_K_RELATIONSHIPS = 10 +DRIFT_LOCAL_SEARCH_MAX_TOKENS = 12_000 +DRIFT_LOCAL_SEARCH_LLM_TEMPERATURE = 0 +DRIFT_LOCAL_SEARCH_LLM_TOP_P = 1 +DRIFT_LOCAL_SEARCH_LLM_N = 1 +DRIFT_LOCAL_SEARCH_LLM_MAX_TOKENS = 2000 + +DRIFT_N_DEPTH = 3 diff --git a/graphrag/config/enums.py b/graphrag/config/enums.py index 8741cf74ae..99d385dff0 100644 --- a/graphrag/config/enums.py +++ b/graphrag/config/enums.py @@ -86,6 +86,7 @@ class TextEmbeddingTarget(str, Enum): all = "all" required = "required" + none = "none" def __repr__(self): """Get a string representation.""" diff --git a/graphrag/config/environment_reader.py b/graphrag/config/environment_reader.py index dc61301f8b..258422666c 100644 --- a/graphrag/config/environment_reader.py +++ b/graphrag/config/environment_reader.py @@ -149,6 +149,7 @@ def list( if result is None: result = self.str(key, env_key) - if result: - return [s.strip() for s in result.split(",")] + if result is not None: + result = [s.strip() for s in result.split(",")] + return [s for s in result if s] return default_value diff --git a/graphrag/config/init_content.py b/graphrag/config/init_content.py new file mode 100644 index 0000000000..5056428dc6 --- /dev/null +++ b/graphrag/config/init_content.py @@ -0,0 +1,141 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Content for the init CLI command to generate a default configuration.""" + +import graphrag.config.defaults as defs + +INIT_YAML = f"""\ +### This config file contains required core defaults that must be set, along with a handful of common optional settings. +### For a full list of available settings, see https://microsoft.github.io/graphrag/config/yaml/ + +### LLM settings ### +## There are a number of settings to tune the threading and token limits for LLM calls - check the docs. + +encoding_model: cl100k_base # this needs to be matched to your model! + +llm: + api_key: ${{GRAPHRAG_API_KEY}} # set this in the generated .env file + type: {defs.LLM_TYPE.value} # or azure_openai_chat + model: {defs.LLM_MODEL} + model_supports_json: true # recommended if this is available for your model. + # audience: "https://cognitiveservices.azure.com/.default" + # api_base: https://.openai.azure.com + # api_version: 2024-02-15-preview + # organization: + # deployment_name: + +parallelization: + stagger: {defs.PARALLELIZATION_STAGGER} + # num_threads: {defs.PARALLELIZATION_NUM_THREADS} + +async_mode: {defs.ASYNC_MODE.value} # or asyncio + +embeddings: + async_mode: {defs.ASYNC_MODE.value} # or asyncio + vector_store:{defs.VECTOR_STORE} + llm: + api_key: ${{GRAPHRAG_API_KEY}} + type: {defs.EMBEDDING_TYPE.value} # or azure_openai_embedding + model: {defs.EMBEDDING_MODEL} + # api_base: https://.openai.azure.com + # api_version: 2024-02-15-preview + # audience: "https://cognitiveservices.azure.com/.default" + # organization: + # deployment_name: + +### Input settings ### + +input: + type: {defs.INPUT_TYPE.value} # or blob + file_type: {defs.INPUT_FILE_TYPE.value} # or csv + base_dir: "{defs.INPUT_BASE_DIR}" + file_encoding: {defs.INPUT_FILE_ENCODING} + file_pattern: ".*\\\\.txt$" + +chunks: + size: {defs.CHUNK_SIZE} + overlap: {defs.CHUNK_OVERLAP} + group_by_columns: [{",".join(defs.CHUNK_GROUP_BY_COLUMNS)}] + +### Storage settings ### +## If blob storage is specified in the following four sections, +## connection_string and container_name must be provided + +cache: + type: {defs.CACHE_TYPE.value} # or blob + base_dir: "{defs.CACHE_BASE_DIR}" + +reporting: + type: {defs.REPORTING_TYPE.value} # or console, blob + base_dir: "{defs.REPORTING_BASE_DIR}" + +storage: + type: {defs.STORAGE_TYPE.value} # or blob + base_dir: "{defs.STORAGE_BASE_DIR}" + +## only turn this on if running `graphrag index` with custom settings +## we normally use `graphrag update` with the defaults +update_index_storage: + # type: {defs.STORAGE_TYPE.value} # or blob + # base_dir: "{defs.UPDATE_STORAGE_BASE_DIR}" + +### Workflow settings ### + +skip_workflows: [] + +entity_extraction: + prompt: "prompts/entity_extraction.txt" + entity_types: [{",".join(defs.ENTITY_EXTRACTION_ENTITY_TYPES)}] + max_gleanings: {defs.ENTITY_EXTRACTION_MAX_GLEANINGS} + +summarize_descriptions: + prompt: "prompts/summarize_descriptions.txt" + max_length: {defs.SUMMARIZE_DESCRIPTIONS_MAX_LENGTH} + +claim_extraction: + enabled: false + prompt: "prompts/claim_extraction.txt" + description: "{defs.CLAIM_DESCRIPTION}" + max_gleanings: {defs.CLAIM_MAX_GLEANINGS} + +community_reports: + prompt: "prompts/community_report.txt" + max_length: {defs.COMMUNITY_REPORT_MAX_LENGTH} + max_input_length: {defs.COMMUNITY_REPORT_MAX_INPUT_LENGTH} + +cluster_graph: + max_cluster_size: {defs.MAX_CLUSTER_SIZE} + +embed_graph: + enabled: false # if true, will generate node2vec embeddings for nodes + +umap: + enabled: false # if true, will generate UMAP embeddings for nodes + +snapshots: + graphml: false + raw_entities: false + top_level_nodes: false + embeddings: false + transient: false + +### Query settings ### +## The prompt locations are required here, but each search method has a number of optional knobs that can be tuned. +## See the config docs: https://microsoft.github.io/graphrag/config/yaml/#query + +local_search: + prompt: "prompts/local_search_system_prompt.txt" + +global_search: + map_prompt: "prompts/global_search_map_system_prompt.txt" + reduce_prompt: "prompts/global_search_reduce_system_prompt.txt" + knowledge_prompt: "prompts/global_search_knowledge_system_prompt.txt" + +drift_search: + prompt: "prompts/drift_search_system_prompt.txt" +""" + +INIT_DOTENV = """\ +GRAPHRAG_API_KEY= +""" diff --git a/graphrag/config/input_models/__init__.py b/graphrag/config/input_models/__init__.py index f905ae38b2..6c5862a947 100644 --- a/graphrag/config/input_models/__init__.py +++ b/graphrag/config/input_models/__init__.py @@ -2,49 +2,3 @@ # Licensed under the MIT License """Interfaces for Default Config parameterization.""" - -from .cache_config_input import CacheConfigInput -from .chunking_config_input import ChunkingConfigInput -from .claim_extraction_config_input import ClaimExtractionConfigInput -from .cluster_graph_config_input import ClusterGraphConfigInput -from .community_reports_config_input import CommunityReportsConfigInput -from .embed_graph_config_input import EmbedGraphConfigInput -from .entity_extraction_config_input import EntityExtractionConfigInput -from .global_search_config_input import GlobalSearchConfigInput -from .graphrag_config_input import GraphRagConfigInput -from .input_config_input import InputConfigInput -from .llm_config_input import LLMConfigInput -from .llm_parameters_input import LLMParametersInput -from .local_search_config_input import LocalSearchConfigInput -from .parallelization_parameters_input import ParallelizationParametersInput -from .reporting_config_input import ReportingConfigInput -from .snapshots_config_input import SnapshotsConfigInput -from .storage_config_input import StorageConfigInput -from .summarize_descriptions_config_input import ( - SummarizeDescriptionsConfigInput, -) -from .text_embedding_config_input import TextEmbeddingConfigInput -from .umap_config_input import UmapConfigInput - -__all__ = [ - "CacheConfigInput", - "ChunkingConfigInput", - "ClaimExtractionConfigInput", - "ClusterGraphConfigInput", - "CommunityReportsConfigInput", - "EmbedGraphConfigInput", - "EntityExtractionConfigInput", - "GlobalSearchConfigInput", - "GraphRagConfigInput", - "InputConfigInput", - "LLMConfigInput", - "LLMParametersInput", - "LocalSearchConfigInput", - "ParallelizationParametersInput", - "ReportingConfigInput", - "SnapshotsConfigInput", - "StorageConfigInput", - "SummarizeDescriptionsConfigInput", - "TextEmbeddingConfigInput", - "UmapConfigInput", -] diff --git a/graphrag/config/input_models/claim_extraction_config_input.py b/graphrag/config/input_models/claim_extraction_config_input.py index 4827435cab..42ff60ea14 100644 --- a/graphrag/config/input_models/claim_extraction_config_input.py +++ b/graphrag/config/input_models/claim_extraction_config_input.py @@ -5,7 +5,7 @@ from typing_extensions import NotRequired -from .llm_config_input import LLMConfigInput +from graphrag.config.input_models.llm_config_input import LLMConfigInput class ClaimExtractionConfigInput(LLMConfigInput): @@ -16,3 +16,4 @@ class ClaimExtractionConfigInput(LLMConfigInput): description: NotRequired[str | None] max_gleanings: NotRequired[int | str | None] strategy: NotRequired[dict | None] + encoding_model: NotRequired[str | None] diff --git a/graphrag/config/input_models/community_reports_config_input.py b/graphrag/config/input_models/community_reports_config_input.py index 79ae3152e7..4f8297ae33 100644 --- a/graphrag/config/input_models/community_reports_config_input.py +++ b/graphrag/config/input_models/community_reports_config_input.py @@ -5,7 +5,7 @@ from typing_extensions import NotRequired -from .llm_config_input import LLMConfigInput +from graphrag.config.input_models.llm_config_input import LLMConfigInput class CommunityReportsConfigInput(LLMConfigInput): diff --git a/graphrag/config/input_models/entity_extraction_config_input.py b/graphrag/config/input_models/entity_extraction_config_input.py index a03cbfee1b..dcc2770c21 100644 --- a/graphrag/config/input_models/entity_extraction_config_input.py +++ b/graphrag/config/input_models/entity_extraction_config_input.py @@ -5,7 +5,7 @@ from typing_extensions import NotRequired -from .llm_config_input import LLMConfigInput +from graphrag.config.input_models.llm_config_input import LLMConfigInput class EntityExtractionConfigInput(LLMConfigInput): @@ -15,3 +15,4 @@ class EntityExtractionConfigInput(LLMConfigInput): entity_types: NotRequired[list[str] | str | None] max_gleanings: NotRequired[int | str | None] strategy: NotRequired[dict | None] + encoding_model: NotRequired[str | None] diff --git a/graphrag/config/input_models/graphrag_config_input.py b/graphrag/config/input_models/graphrag_config_input.py index 7c04dea2e3..9d3094edd7 100644 --- a/graphrag/config/input_models/graphrag_config_input.py +++ b/graphrag/config/input_models/graphrag_config_input.py @@ -5,25 +5,39 @@ from typing_extensions import NotRequired -from .cache_config_input import CacheConfigInput -from .chunking_config_input import ChunkingConfigInput -from .claim_extraction_config_input import ClaimExtractionConfigInput -from .cluster_graph_config_input import ClusterGraphConfigInput -from .community_reports_config_input import CommunityReportsConfigInput -from .embed_graph_config_input import EmbedGraphConfigInput -from .entity_extraction_config_input import EntityExtractionConfigInput -from .global_search_config_input import GlobalSearchConfigInput -from .input_config_input import InputConfigInput -from .llm_config_input import LLMConfigInput -from .local_search_config_input import LocalSearchConfigInput -from .reporting_config_input import ReportingConfigInput -from .snapshots_config_input import SnapshotsConfigInput -from .storage_config_input import StorageConfigInput -from .summarize_descriptions_config_input import ( +from graphrag.config.input_models.cache_config_input import CacheConfigInput +from graphrag.config.input_models.chunking_config_input import ChunkingConfigInput +from graphrag.config.input_models.claim_extraction_config_input import ( + ClaimExtractionConfigInput, +) +from graphrag.config.input_models.cluster_graph_config_input import ( + ClusterGraphConfigInput, +) +from graphrag.config.input_models.community_reports_config_input import ( + CommunityReportsConfigInput, +) +from graphrag.config.input_models.embed_graph_config_input import EmbedGraphConfigInput +from graphrag.config.input_models.entity_extraction_config_input import ( + EntityExtractionConfigInput, +) +from graphrag.config.input_models.global_search_config_input import ( + GlobalSearchConfigInput, +) +from graphrag.config.input_models.input_config_input import InputConfigInput +from graphrag.config.input_models.llm_config_input import LLMConfigInput +from graphrag.config.input_models.local_search_config_input import ( + LocalSearchConfigInput, +) +from graphrag.config.input_models.reporting_config_input import ReportingConfigInput +from graphrag.config.input_models.snapshots_config_input import SnapshotsConfigInput +from graphrag.config.input_models.storage_config_input import StorageConfigInput +from graphrag.config.input_models.summarize_descriptions_config_input import ( SummarizeDescriptionsConfigInput, ) -from .text_embedding_config_input import TextEmbeddingConfigInput -from .umap_config_input import UmapConfigInput +from graphrag.config.input_models.text_embedding_config_input import ( + TextEmbeddingConfigInput, +) +from graphrag.config.input_models.umap_config_input import UmapConfigInput class GraphRagConfigInput(LLMConfigInput): diff --git a/graphrag/config/input_models/llm_config_input.py b/graphrag/config/input_models/llm_config_input.py index 67231371b8..35b3b342b4 100644 --- a/graphrag/config/input_models/llm_config_input.py +++ b/graphrag/config/input_models/llm_config_input.py @@ -6,8 +6,10 @@ from datashaper import AsyncType from typing_extensions import NotRequired, TypedDict -from .llm_parameters_input import LLMParametersInput -from .parallelization_parameters_input import ParallelizationParametersInput +from graphrag.config.input_models.llm_parameters_input import LLMParametersInput +from graphrag.config.input_models.parallelization_parameters_input import ( + ParallelizationParametersInput, +) class LLMConfigInput(TypedDict): diff --git a/graphrag/config/input_models/llm_parameters_input.py b/graphrag/config/input_models/llm_parameters_input.py index c89c6c0922..b99d7e9b7b 100644 --- a/graphrag/config/input_models/llm_parameters_input.py +++ b/graphrag/config/input_models/llm_parameters_input.py @@ -20,7 +20,7 @@ class LLMParametersInput(TypedDict): api_version: NotRequired[str | None] organization: NotRequired[str | None] proxy: NotRequired[str | None] - cognitive_services_endpoint: NotRequired[str | None] + audience: NotRequired[str | None] deployment_name: NotRequired[str | None] model_supports_json: NotRequired[bool | str | None] tokens_per_minute: NotRequired[int | str | None] diff --git a/graphrag/config/input_models/snapshots_config_input.py b/graphrag/config/input_models/snapshots_config_input.py index c20becb071..ef1004ade0 100644 --- a/graphrag/config/input_models/snapshots_config_input.py +++ b/graphrag/config/input_models/snapshots_config_input.py @@ -9,6 +9,8 @@ class SnapshotsConfigInput(TypedDict): """Configuration section for snapshots.""" + embeddings: NotRequired[bool | str | None] graphml: NotRequired[bool | str | None] raw_entities: NotRequired[bool | str | None] top_level_nodes: NotRequired[bool | str | None] + transient: NotRequired[bool | str | None] diff --git a/graphrag/config/input_models/summarize_descriptions_config_input.py b/graphrag/config/input_models/summarize_descriptions_config_input.py index 6ce756e558..b71a465aef 100644 --- a/graphrag/config/input_models/summarize_descriptions_config_input.py +++ b/graphrag/config/input_models/summarize_descriptions_config_input.py @@ -5,7 +5,7 @@ from typing_extensions import NotRequired -from .llm_config_input import LLMConfigInput +from graphrag.config.input_models.llm_config_input import LLMConfigInput class SummarizeDescriptionsConfigInput(LLMConfigInput): diff --git a/graphrag/config/input_models/text_embedding_config_input.py b/graphrag/config/input_models/text_embedding_config_input.py index a7e176c658..de72612e34 100644 --- a/graphrag/config/input_models/text_embedding_config_input.py +++ b/graphrag/config/input_models/text_embedding_config_input.py @@ -8,8 +8,7 @@ from graphrag.config.enums import ( TextEmbeddingTarget, ) - -from .llm_config_input import LLMConfigInput +from graphrag.config.input_models.llm_config_input import LLMConfigInput class TextEmbeddingConfigInput(LLMConfigInput): diff --git a/graphrag/config/load_config.py b/graphrag/config/load_config.py new file mode 100644 index 0000000000..63c2c6967b --- /dev/null +++ b/graphrag/config/load_config.py @@ -0,0 +1,49 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Default method for loading config.""" + +from pathlib import Path + +from graphrag.config.config_file_loader import ( + load_config_from_file, + search_for_config_in_root_dir, +) +from graphrag.config.create_graphrag_config import create_graphrag_config +from graphrag.config.models.graph_rag_config import GraphRagConfig + + +def load_config( + root_dir: Path, + config_filepath: Path | None = None, +) -> GraphRagConfig: + """Load configuration from a file or create a default configuration. + + If a config file is not found the default configuration is created. + + Parameters + ---------- + root_dir : str | Path + The root directory of the project. Will search for the config file in this directory. + config_filepath : str | None + The path to the config file. + If None, searches for config file in root and + if not found creates a default configuration. + """ + root = root_dir.resolve() + + # If user specified a config file path then it is required + if config_filepath: + config_path = config_filepath.resolve() + if not config_path.exists(): + msg = f"Specified Config file not found: {config_path}" + raise FileNotFoundError(msg) + else: + # resolve config filepath from the root directory if it exists + config_path = search_for_config_in_root_dir(root) + if config_path: + config = load_config_from_file(config_path) + else: + config = create_graphrag_config(root_dir=str(root)) + + return config diff --git a/graphrag/config/logging.py b/graphrag/config/logging.py new file mode 100644 index 0000000000..3c626b625c --- /dev/null +++ b/graphrag/config/logging.py @@ -0,0 +1,61 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Logging utilities. A unified way for enabling logging.""" + +import logging +from pathlib import Path + +from graphrag.config.enums import ReportingType +from graphrag.config.models.graph_rag_config import GraphRagConfig + + +def enable_logging(log_filepath: str | Path, verbose: bool = False) -> None: + """Enable logging to a file. + + Parameters + ---------- + log_filepath : str | Path + The path to the log file. + verbose : bool, default=False + Whether to log debug messages. + """ + log_filepath = Path(log_filepath) + log_filepath.parent.mkdir(parents=True, exist_ok=True) + log_filepath.touch(exist_ok=True) + + logging.basicConfig( + filename=log_filepath, + filemode="a", + format="%(asctime)s,%(msecs)d %(name)s %(levelname)s %(message)s", + datefmt="%H:%M:%S", + level=logging.DEBUG if verbose else logging.INFO, + ) + + +def enable_logging_with_config( + config: GraphRagConfig, verbose: bool = False +) -> tuple[bool, str]: + """Enable logging to a file based on the config. + + Parameters + ---------- + config : GraphRagConfig + The configuration. + timestamp_value : str + The timestamp value representing the directory to place the log files. + verbose : bool, default=False + Whether to log debug messages. + + Returns + ------- + tuple[bool, str] + A tuple of a boolean indicating if logging was enabled and the path to the log file. + (False, "") if logging was not enabled. + (True, str) if logging was enabled. + """ + if config.reporting.type == ReportingType.file: + log_path = Path(config.reporting.base_dir) / "indexing-engine.log" + enable_logging(log_path, verbose) + return (True, str(log_path)) + return (False, "") diff --git a/graphrag/config/models/__init__.py b/graphrag/config/models/__init__.py index 43c4cde506..6c5862a947 100644 --- a/graphrag/config/models/__init__.py +++ b/graphrag/config/models/__init__.py @@ -2,47 +2,3 @@ # Licensed under the MIT License """Interfaces for Default Config parameterization.""" - -from .cache_config import CacheConfig -from .chunking_config import ChunkingConfig -from .claim_extraction_config import ClaimExtractionConfig -from .cluster_graph_config import ClusterGraphConfig -from .community_reports_config import CommunityReportsConfig -from .embed_graph_config import EmbedGraphConfig -from .entity_extraction_config import EntityExtractionConfig -from .global_search_config import GlobalSearchConfig -from .graph_rag_config import GraphRagConfig -from .input_config import InputConfig -from .llm_config import LLMConfig -from .llm_parameters import LLMParameters -from .local_search_config import LocalSearchConfig -from .parallelization_parameters import ParallelizationParameters -from .reporting_config import ReportingConfig -from .snapshots_config import SnapshotsConfig -from .storage_config import StorageConfig -from .summarize_descriptions_config import SummarizeDescriptionsConfig -from .text_embedding_config import TextEmbeddingConfig -from .umap_config import UmapConfig - -__all__ = [ - "CacheConfig", - "ChunkingConfig", - "ClaimExtractionConfig", - "ClusterGraphConfig", - "CommunityReportsConfig", - "EmbedGraphConfig", - "EntityExtractionConfig", - "GlobalSearchConfig", - "GraphRagConfig", - "InputConfig", - "LLMConfig", - "LLMParameters", - "LocalSearchConfig", - "ParallelizationParameters", - "ReportingConfig", - "SnapshotsConfig", - "StorageConfig", - "SummarizeDescriptionsConfig", - "TextEmbeddingConfig", - "UmapConfig", -] diff --git a/graphrag/config/models/chunking_config.py b/graphrag/config/models/chunking_config.py index ad7e3d0a9d..a2b40017f2 100644 --- a/graphrag/config/models/chunking_config.py +++ b/graphrag/config/models/chunking_config.py @@ -23,14 +23,18 @@ class ChunkingConfig(BaseModel): description="The chunk strategy to use, overriding the default tokenization strategy", default=None, ) + encoding_model: str | None = Field( + default=None, description="The encoding model to use." + ) - def resolved_strategy(self) -> dict: + def resolved_strategy(self, encoding_model: str) -> dict: """Get the resolved chunking strategy.""" - from graphrag.index.verbs.text.chunk import ChunkStrategyType + from graphrag.index.operations.chunk_text import ChunkStrategyType return self.strategy or { "type": ChunkStrategyType.tokens, "chunk_size": self.size, "chunk_overlap": self.overlap, "group_by_columns": self.group_by_columns, + "encoding_name": self.encoding_model or encoding_model, } diff --git a/graphrag/config/models/claim_extraction_config.py b/graphrag/config/models/claim_extraction_config.py index a4437dd6d3..716f64480e 100644 --- a/graphrag/config/models/claim_extraction_config.py +++ b/graphrag/config/models/claim_extraction_config.py @@ -8,8 +8,7 @@ from pydantic import Field import graphrag.config.defaults as defs - -from .llm_config import LLMConfig +from graphrag.config.models.llm_config import LLMConfig class ClaimExtractionConfig(LLMConfig): @@ -32,10 +31,13 @@ class ClaimExtractionConfig(LLMConfig): strategy: dict | None = Field( description="The override strategy to use.", default=None ) + encoding_model: str | None = Field( + default=None, description="The encoding model to use." + ) - def resolved_strategy(self, root_dir: str) -> dict: + def resolved_strategy(self, root_dir: str, encoding_model: str) -> dict: """Get the resolved claim extraction strategy.""" - from graphrag.index.verbs.covariates.extract_covariates import ( + from graphrag.index.operations.extract_covariates import ( ExtractClaimsStrategyType, ) @@ -50,4 +52,5 @@ def resolved_strategy(self, root_dir: str) -> dict: else None, "claim_description": self.description, "max_gleanings": self.max_gleanings, + "encoding_name": self.encoding_model or encoding_model, } diff --git a/graphrag/config/models/cluster_graph_config.py b/graphrag/config/models/cluster_graph_config.py index 3029baebcb..805e5a184b 100644 --- a/graphrag/config/models/cluster_graph_config.py +++ b/graphrag/config/models/cluster_graph_config.py @@ -20,7 +20,7 @@ class ClusterGraphConfig(BaseModel): def resolved_strategy(self) -> dict: """Get the resolved cluster strategy.""" - from graphrag.index.verbs.graph.clustering import GraphCommunityStrategyType + from graphrag.index.operations.cluster_graph import GraphCommunityStrategyType return self.strategy or { "type": GraphCommunityStrategyType.leiden, diff --git a/graphrag/config/models/community_reports_config.py b/graphrag/config/models/community_reports_config.py index ab55063cec..104c77eca6 100644 --- a/graphrag/config/models/community_reports_config.py +++ b/graphrag/config/models/community_reports_config.py @@ -8,8 +8,7 @@ from pydantic import Field import graphrag.config.defaults as defs - -from .llm_config import LLMConfig +from graphrag.config.models.llm_config import LLMConfig class CommunityReportsConfig(LLMConfig): @@ -32,7 +31,9 @@ class CommunityReportsConfig(LLMConfig): def resolved_strategy(self, root_dir) -> dict: """Get the resolved community report extraction strategy.""" - from graphrag.index.verbs.graph.report import CreateCommunityReportsStrategyType + from graphrag.index.operations.summarize_communities import ( + CreateCommunityReportsStrategyType, + ) return self.strategy or { "type": CreateCommunityReportsStrategyType.graph_intelligence, diff --git a/graphrag/config/models/drift_search_config.py b/graphrag/config/models/drift_search_config.py new file mode 100644 index 0000000000..7860f60ae6 --- /dev/null +++ b/graphrag/config/models/drift_search_config.py @@ -0,0 +1,106 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pydantic import BaseModel, Field + +import graphrag.config.defaults as defs + + +class DRIFTSearchConfig(BaseModel): + """The default configuration section for Cache.""" + + prompt: str | None = Field( + description="The drift search prompt to use.", default=None + ) + temperature: float = Field( + description="The temperature to use for token generation.", + default=defs.DRIFT_SEARCH_LLM_TEMPERATURE, + ) + top_p: float = Field( + description="The top-p value to use for token generation.", + default=defs.DRIFT_SEARCH_LLM_TOP_P, + ) + n: int = Field( + description="The number of completions to generate.", + default=defs.DRIFT_SEARCH_LLM_N, + ) + max_tokens: int = Field( + description="The maximum context size in tokens.", + default=defs.DRIFT_SEARCH_MAX_TOKENS, + ) + data_max_tokens: int = Field( + description="The data llm maximum tokens.", + default=defs.DRIFT_SEARCH_DATA_MAX_TOKENS, + ) + + concurrency: int = Field( + description="The number of concurrent requests.", + default=defs.DRIFT_SEARCH_CONCURRENCY, + ) + + drift_k_followups: int = Field( + description="The number of top global results to retrieve.", + default=defs.DRIFT_SEARCH_K_FOLLOW_UPS, + ) + + primer_folds: int = Field( + description="The number of folds for search priming.", + default=defs.DRIFT_SEARCH_PRIMER_FOLDS, + ) + + primer_llm_max_tokens: int = Field( + description="The maximum number of tokens for the LLM in primer.", + default=defs.DRIFT_SEARCH_PRIMER_MAX_TOKENS, + ) + + n_depth: int = Field( + description="The number of drift search steps to take.", + default=defs.DRIFT_N_DEPTH, + ) + + local_search_text_unit_prop: float = Field( + description="The proportion of search dedicated to text units.", + default=defs.DRIFT_LOCAL_SEARCH_TEXT_UNIT_PROP, + ) + + local_search_community_prop: float = Field( + description="The proportion of search dedicated to community properties.", + default=defs.DRIFT_LOCAL_SEARCH_COMMUNITY_PROP, + ) + + local_search_top_k_mapped_entities: int = Field( + description="The number of top K entities to map during local search.", + default=defs.DRIFT_LOCAL_SEARCH_TOP_K_MAPPED_ENTITIES, + ) + + local_search_top_k_relationships: int = Field( + description="The number of top K relationships to map during local search.", + default=defs.DRIFT_LOCAL_SEARCH_TOP_K_RELATIONSHIPS, + ) + + local_search_max_data_tokens: int = Field( + description="The maximum context size in tokens for local search.", + default=defs.DRIFT_LOCAL_SEARCH_MAX_TOKENS, + ) + + local_search_temperature: float = Field( + description="The temperature to use for token generation in local search.", + default=defs.DRIFT_LOCAL_SEARCH_LLM_TEMPERATURE, + ) + + local_search_top_p: float = Field( + description="The top-p value to use for token generation in local search.", + default=defs.DRIFT_LOCAL_SEARCH_LLM_TOP_P, + ) + + local_search_n: int = Field( + description="The number of completions to generate in local search.", + default=defs.DRIFT_LOCAL_SEARCH_LLM_N, + ) + + local_search_llm_max_gen_tokens: int = Field( + description="The maximum number of generated tokens for the LLM in local search.", + default=defs.DRIFT_LOCAL_SEARCH_LLM_MAX_TOKENS, + ) diff --git a/graphrag/config/models/embed_graph_config.py b/graphrag/config/models/embed_graph_config.py index 8b7677ab10..12dd90cf4e 100644 --- a/graphrag/config/models/embed_graph_config.py +++ b/graphrag/config/models/embed_graph_config.py @@ -36,7 +36,9 @@ class EmbedGraphConfig(BaseModel): def resolved_strategy(self) -> dict: """Get the resolved node2vec strategy.""" - from graphrag.index.verbs.graph.embed import EmbedGraphStrategyType + from graphrag.index.operations.embed_graph import ( + EmbedGraphStrategyType, + ) return self.strategy or { "type": EmbedGraphStrategyType.node2vec, diff --git a/graphrag/config/models/entity_extraction_config.py b/graphrag/config/models/entity_extraction_config.py index 26101f747c..40f155d0e4 100644 --- a/graphrag/config/models/entity_extraction_config.py +++ b/graphrag/config/models/entity_extraction_config.py @@ -8,8 +8,7 @@ from pydantic import Field import graphrag.config.defaults as defs - -from .llm_config import LLMConfig +from graphrag.config.models.llm_config import LLMConfig class EntityExtractionConfig(LLMConfig): @@ -29,10 +28,15 @@ class EntityExtractionConfig(LLMConfig): strategy: dict | None = Field( description="Override the default entity extraction strategy", default=None ) + encoding_model: str | None = Field( + default=None, description="The encoding model to use." + ) def resolved_strategy(self, root_dir: str, encoding_model: str) -> dict: """Get the resolved entity extraction strategy.""" - from graphrag.index.verbs.entities.extraction import ExtractEntityStrategyType + from graphrag.index.operations.extract_entities import ( + ExtractEntityStrategyType, + ) return self.strategy or { "type": ExtractEntityStrategyType.graph_intelligence, @@ -45,6 +49,6 @@ def resolved_strategy(self, root_dir: str, encoding_model: str) -> dict: else None, "max_gleanings": self.max_gleanings, # It's prechunked in create_base_text_units - "encoding_name": encoding_model, + "encoding_name": self.encoding_model or encoding_model, "prechunked": True, } diff --git a/graphrag/config/models/global_search_config.py b/graphrag/config/models/global_search_config.py index 9eb388c373..7f2573d402 100644 --- a/graphrag/config/models/global_search_config.py +++ b/graphrag/config/models/global_search_config.py @@ -11,6 +11,15 @@ class GlobalSearchConfig(BaseModel): """The default configuration section for Cache.""" + map_prompt: str | None = Field( + description="The global search mapper prompt to use.", default=None + ) + reduce_prompt: str | None = Field( + description="The global search reducer to use.", default=None + ) + knowledge_prompt: str | None = Field( + description="The global search general prompt to use.", default=None + ) temperature: float | None = Field( description="The temperature to use for token generation.", default=defs.GLOBAL_SEARCH_LLM_TEMPERATURE, @@ -43,3 +52,33 @@ class GlobalSearchConfig(BaseModel): description="The number of concurrent requests.", default=defs.GLOBAL_SEARCH_CONCURRENCY, ) + + # configurations for dynamic community selection + dynamic_search_llm: str = Field( + description="LLM model to use for dynamic community selection", + default=defs.DYNAMIC_SEARCH_LLM_MODEL, + ) + dynamic_search_threshold: int = Field( + description="Rating threshold in include a community report", + default=defs.DYNAMIC_SEARCH_RATE_THRESHOLD, + ) + dynamic_search_keep_parent: bool = Field( + description="Keep parent community if any of the child communities are relevant", + default=defs.DYNAMIC_SEARCH_KEEP_PARENT, + ) + dynamic_search_num_repeats: int = Field( + description="Number of times to rate the same community report", + default=defs.DYNAMIC_SEARCH_NUM_REPEATS, + ) + dynamic_search_use_summary: bool = Field( + description="Use community summary instead of full_context", + default=defs.DYNAMIC_SEARCH_USE_SUMMARY, + ) + dynamic_search_concurrent_coroutines: int = Field( + description="Number of concurrent coroutines to rate community reports", + default=defs.DYNAMIC_SEARCH_CONCURRENT_COROUTINES, + ) + dynamic_search_max_level: int = Field( + description="The maximum level of community hierarchy to consider if none of the processed communities are relevant", + default=defs.DYNAMIC_SEARCH_MAX_LEVEL, + ) diff --git a/graphrag/config/models/graph_rag_config.py b/graphrag/config/models/graph_rag_config.py index 197d85e3e9..3dc5f71d82 100644 --- a/graphrag/config/models/graph_rag_config.py +++ b/graphrag/config/models/graph_rag_config.py @@ -7,26 +7,26 @@ from pydantic import Field import graphrag.config.defaults as defs - -from .cache_config import CacheConfig -from .chunking_config import ChunkingConfig -from .claim_extraction_config import ClaimExtractionConfig -from .cluster_graph_config import ClusterGraphConfig -from .community_reports_config import CommunityReportsConfig -from .embed_graph_config import EmbedGraphConfig -from .entity_extraction_config import EntityExtractionConfig -from .global_search_config import GlobalSearchConfig -from .input_config import InputConfig -from .llm_config import LLMConfig -from .local_search_config import LocalSearchConfig -from .reporting_config import ReportingConfig -from .snapshots_config import SnapshotsConfig -from .storage_config import StorageConfig -from .summarize_descriptions_config import ( +from graphrag.config.models.cache_config import CacheConfig +from graphrag.config.models.chunking_config import ChunkingConfig +from graphrag.config.models.claim_extraction_config import ClaimExtractionConfig +from graphrag.config.models.cluster_graph_config import ClusterGraphConfig +from graphrag.config.models.community_reports_config import CommunityReportsConfig +from graphrag.config.models.drift_search_config import DRIFTSearchConfig +from graphrag.config.models.embed_graph_config import EmbedGraphConfig +from graphrag.config.models.entity_extraction_config import EntityExtractionConfig +from graphrag.config.models.global_search_config import GlobalSearchConfig +from graphrag.config.models.input_config import InputConfig +from graphrag.config.models.llm_config import LLMConfig +from graphrag.config.models.local_search_config import LocalSearchConfig +from graphrag.config.models.reporting_config import ReportingConfig +from graphrag.config.models.snapshots_config import SnapshotsConfig +from graphrag.config.models.storage_config import StorageConfig +from graphrag.config.models.summarize_descriptions_config import ( SummarizeDescriptionsConfig, ) -from .text_embedding_config import TextEmbeddingConfig -from .umap_config import UmapConfig +from graphrag.config.models.text_embedding_config import TextEmbeddingConfig +from graphrag.config.models.umap_config import UmapConfig class GraphRagConfig(LLMConfig): @@ -54,6 +54,12 @@ def __str__(self): ) """The storage configuration.""" + update_index_storage: StorageConfig | None = Field( + description="The storage configuration for the updated index.", + default=None, + ) + """The storage configuration for the updated index.""" + cache: CacheConfig = Field( description="The cache configuration.", default=CacheConfig() ) @@ -135,6 +141,11 @@ def __str__(self): ) """The global search configuration.""" + drift_search: DRIFTSearchConfig = Field( + description="The drift search configuration.", default=DRIFTSearchConfig() + ) + """The drift search configuration.""" + encoding_model: str = Field( description="The encoding model to use.", default=defs.ENCODING_MODEL ) diff --git a/graphrag/config/models/llm_config.py b/graphrag/config/models/llm_config.py index 62c193b0c5..3759bd949e 100644 --- a/graphrag/config/models/llm_config.py +++ b/graphrag/config/models/llm_config.py @@ -7,9 +7,8 @@ from pydantic import BaseModel, Field import graphrag.config.defaults as defs - -from .llm_parameters import LLMParameters -from .parallelization_parameters import ParallelizationParameters +from graphrag.config.models.llm_parameters import LLMParameters +from graphrag.config.models.parallelization_parameters import ParallelizationParameters class LLMConfig(BaseModel): diff --git a/graphrag/config/models/llm_parameters.py b/graphrag/config/models/llm_parameters.py index df81138a2f..4f18ded06f 100644 --- a/graphrag/config/models/llm_parameters.py +++ b/graphrag/config/models/llm_parameters.py @@ -52,8 +52,9 @@ class LLMParameters(BaseModel): proxy: str | None = Field( description="The proxy to use for the LLM service.", default=None ) - cognitive_services_endpoint: str | None = Field( - description="The endpoint to reach cognitives services.", default=None + audience: str | None = Field( + description="Azure resource URI to use with managed identity for the llm connection.", + default=None, ) deployment_name: str | None = Field( description="The deployment name to use for the LLM service.", default=None diff --git a/graphrag/config/models/local_search_config.py b/graphrag/config/models/local_search_config.py index c41344daef..c3d8e822e4 100644 --- a/graphrag/config/models/local_search_config.py +++ b/graphrag/config/models/local_search_config.py @@ -11,6 +11,9 @@ class LocalSearchConfig(BaseModel): """The default configuration section for Cache.""" + prompt: str | None = Field( + description="The local search prompt to use.", default=None + ) text_unit_prop: float = Field( description="The text unit proportion.", default=defs.LOCAL_SEARCH_TEXT_UNIT_PROP, diff --git a/graphrag/config/models/snapshots_config.py b/graphrag/config/models/snapshots_config.py index 08293fb7a7..9f6d607ef3 100644 --- a/graphrag/config/models/snapshots_config.py +++ b/graphrag/config/models/snapshots_config.py @@ -11,6 +11,10 @@ class SnapshotsConfig(BaseModel): """Configuration section for snapshots.""" + embeddings: bool = Field( + description="A flag indicating whether to take snapshots of embeddings.", + default=defs.SNAPSHOTS_EMBEDDINGS, + ) graphml: bool = Field( description="A flag indicating whether to take snapshots of GraphML.", default=defs.SNAPSHOTS_GRAPHML, @@ -23,3 +27,7 @@ class SnapshotsConfig(BaseModel): description="A flag indicating whether to take snapshots of top-level nodes.", default=defs.SNAPSHOTS_TOP_LEVEL_NODES, ) + transient: bool = Field( + description="A flag indicating whether to take snapshots of transient tables.", + default=defs.SNAPSHOTS_TRANSIENT, + ) diff --git a/graphrag/config/models/summarize_descriptions_config.py b/graphrag/config/models/summarize_descriptions_config.py index 9747d949c6..c1acb9b381 100644 --- a/graphrag/config/models/summarize_descriptions_config.py +++ b/graphrag/config/models/summarize_descriptions_config.py @@ -8,8 +8,7 @@ from pydantic import Field import graphrag.config.defaults as defs - -from .llm_config import LLMConfig +from graphrag.config.models.llm_config import LLMConfig class SummarizeDescriptionsConfig(LLMConfig): @@ -28,7 +27,9 @@ class SummarizeDescriptionsConfig(LLMConfig): def resolved_strategy(self, root_dir: str) -> dict: """Get the resolved description summarization strategy.""" - from graphrag.index.verbs.entities.summarize import SummarizeStrategyType + from graphrag.index.operations.summarize_descriptions import ( + SummarizeStrategyType, + ) return self.strategy or { "type": SummarizeStrategyType.graph_intelligence, diff --git a/graphrag/config/models/text_embedding_config.py b/graphrag/config/models/text_embedding_config.py index 5c2fcdb86e..1fde9a41dd 100644 --- a/graphrag/config/models/text_embedding_config.py +++ b/graphrag/config/models/text_embedding_config.py @@ -7,8 +7,7 @@ import graphrag.config.defaults as defs from graphrag.config.enums import TextEmbeddingTarget - -from .llm_config import LLMConfig +from graphrag.config.models.llm_config import LLMConfig class TextEmbeddingConfig(LLMConfig): @@ -27,7 +26,7 @@ class TextEmbeddingConfig(LLMConfig): ) skip: list[str] = Field(description="The specific embeddings to skip.", default=[]) vector_store: dict | None = Field( - description="The vector storage configuration", default=None + description="The vector storage configuration", default=defs.VECTOR_STORE ) strategy: dict | None = Field( description="The override strategy to use.", default=None @@ -35,7 +34,9 @@ class TextEmbeddingConfig(LLMConfig): def resolved_strategy(self) -> dict: """Get the resolved text embedding strategy.""" - from graphrag.index.verbs.text.embed import TextEmbedStrategyType + from graphrag.index.operations.embed_text import ( + TextEmbedStrategyType, + ) return self.strategy or { "type": TextEmbedStrategyType.openai, diff --git a/graphrag/config/resolve_path.py b/graphrag/config/resolve_path.py new file mode 100644 index 0000000000..237c7f7edb --- /dev/null +++ b/graphrag/config/resolve_path.py @@ -0,0 +1,205 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Resolve timestamp variables in a path.""" + +import re +from pathlib import Path +from string import Template + +from graphrag.config.enums import ReportingType, StorageType +from graphrag.config.models.graph_rag_config import GraphRagConfig + + +def _resolve_timestamp_path_with_value(path: str | Path, timestamp_value: str) -> Path: + """Resolve the timestamp in the path with the given timestamp value. + + Parameters + ---------- + path : str | Path + The path containing ${timestamp} variables to resolve. + timestamp_value : str + The timestamp value used to resolve the path. + + Returns + ------- + Path + The path with ${timestamp} variables resolved to the provided timestamp value. + """ + template = Template(str(path)) + resolved_path = template.substitute(timestamp=timestamp_value) + return Path(resolved_path) + + +def _resolve_timestamp_path_with_dir( + path: str | Path, pattern: re.Pattern[str] +) -> Path: + """Resolve the timestamp in the path with the latest available timestamp directory value. + + Parameters + ---------- + path : str | Path + The path containing ${timestamp} variables to resolve. + pattern : re.Pattern[str] + The pattern to use to match the timestamp directories. + + Returns + ------- + Path + The path with ${timestamp} variables resolved to the latest available timestamp directory value. + + Raises + ------ + ValueError + If the parent directory expecting to contain timestamp directories does not exist or is not a directory. + Or if no timestamp directories are found in the parent directory that match the pattern. + """ + path = Path(path) + path_parts = path.parts + parent_dir = Path(path_parts[0]) + found_timestamp_pattern = False + for _, part in enumerate(path_parts[1:]): + if part.lower() == "${timestamp}": + found_timestamp_pattern = True + break + parent_dir = parent_dir / part + + # Path not using timestamp layout. + if not found_timestamp_pattern: + return path + + if not parent_dir.exists() or not parent_dir.is_dir(): + msg = f"Parent directory {parent_dir} does not exist or is not a directory." + raise ValueError(msg) + + timestamp_dirs = [ + d for d in parent_dir.iterdir() if d.is_dir() and pattern.match(d.name) + ] + timestamp_dirs.sort(key=lambda d: d.name, reverse=True) + if len(timestamp_dirs) == 0: + msg = f"No timestamp directories found in {parent_dir} that match {pattern.pattern}." + raise ValueError(msg) + return _resolve_timestamp_path_with_value(path, timestamp_dirs[0].name) + + +def _resolve_timestamp_path( + path: str | Path, + pattern_or_timestamp_value: re.Pattern[str] | str | None = None, +) -> Path: + r"""Timestamp path resolver. + + Resolve the timestamp in the path with the given timestamp value or + with the latest available timestamp directory matching the given pattern. + + Parameters + ---------- + path : str | Path + The path containing ${timestamp} variables to resolve. + pattern_or_timestamp_value : re.Pattern[str] | str, default=re.compile(r"^\d{8}-\d{6}$") + The pattern to use to match the timestamp directories or the timestamp value to use. + If a string is provided, the path will be resolved with the given string value. + Otherwise, the path will be resolved with the latest available timestamp directory + that matches the given pattern. + + Returns + ------- + Path + The path with ${timestamp} variables resolved to the provided timestamp value or + the latest available timestamp directory. + + Raises + ------ + ValueError + If the parent directory expecting to contain timestamp directories does not exist or is not a directory. + Or if no timestamp directories are found in the parent directory that match the pattern. + """ + if not pattern_or_timestamp_value: + pattern_or_timestamp_value = re.compile(r"^\d{8}-\d{6}$") + if isinstance(pattern_or_timestamp_value, str): + return _resolve_timestamp_path_with_value(path, pattern_or_timestamp_value) + return _resolve_timestamp_path_with_dir(path, pattern_or_timestamp_value) + + +def resolve_path( + path_to_resolve: Path | str, + root_dir: Path | str | None = None, + pattern_or_timestamp_value: re.Pattern[str] | str | None = None, +) -> Path: + """Resolve the path. + + Resolves any timestamp variables by either using the provided timestamp value if string or + by looking up the latest available timestamp directory that matches the given pattern. + Resolves the path against the root directory if provided. + + Parameters + ---------- + path_to_resolve : Path | str + The path to resolve. + root_dir : Path | str | None default=None + The root directory to resolve the path from, if provided. + pattern_or_timestamp_value : re.Pattern[str] | str, default=None + The pattern to use to match the timestamp directories or the timestamp value to use. + If a string is provided, the path will be resolved with the given string value. + Otherwise, the path will be resolved with the latest available timestamp directory + that matches the given pattern. + + Returns + ------- + Path + The resolved path. + """ + if root_dir: + path_to_resolve = (Path(root_dir) / path_to_resolve).resolve() + else: + path_to_resolve = Path(path_to_resolve) + return _resolve_timestamp_path(path_to_resolve, pattern_or_timestamp_value) + + +def resolve_paths( + config: GraphRagConfig, + pattern_or_timestamp_value: re.Pattern[str] | str | None = None, +) -> None: + """Resolve storage and reporting paths in the configuration for local file handling. + + Resolves any timestamp variables in the configuration paths by either using the provided timestamp value if string or + by looking up the latest available timestamp directory that matches the given pattern. + + Parameters + ---------- + config : GraphRagConfig + The configuration to resolve the paths in. + pattern_or_timestamp_value : re.Pattern[str] | str, default=None + The pattern to use to match the timestamp directories or the timestamp value to use. + If a string is provided, the path will be resolved with the given string value. + Otherwise, the path will be resolved with the latest available timestamp directory + that matches the given pattern. + """ + if config.storage.type == StorageType.file: + config.storage.base_dir = str( + resolve_path( + config.storage.base_dir, + config.root_dir, + pattern_or_timestamp_value, + ) + ) + + if ( + config.update_index_storage + and config.update_index_storage.type == StorageType.file + ): + config.update_index_storage.base_dir = str( + resolve_path( + config.update_index_storage.base_dir, + config.root_dir, + pattern_or_timestamp_value, + ) + ) + + if config.reporting.type == ReportingType.file: + config.reporting.base_dir = str( + resolve_path( + config.reporting.base_dir, + config.root_dir, + pattern_or_timestamp_value, + ) + ) diff --git a/graphrag/index/__init__.py b/graphrag/index/__init__.py index c97c290a94..c5acc43b65 100644 --- a/graphrag/index/__init__.py +++ b/graphrag/index/__init__.py @@ -1,78 +1,4 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""The Indexing Engine package root.""" - -from .cache import PipelineCache -from .config import ( - PipelineBlobCacheConfig, - PipelineBlobReportingConfig, - PipelineBlobStorageConfig, - PipelineCacheConfig, - PipelineCacheConfigTypes, - PipelineConfig, - PipelineConsoleReportingConfig, - PipelineCSVInputConfig, - PipelineFileCacheConfig, - PipelineFileReportingConfig, - PipelineFileStorageConfig, - PipelineInputConfig, - PipelineInputConfigTypes, - PipelineMemoryCacheConfig, - PipelineMemoryStorageConfig, - PipelineNoneCacheConfig, - PipelineReportingConfig, - PipelineReportingConfigTypes, - PipelineStorageConfig, - PipelineStorageConfigTypes, - PipelineTextInputConfig, - PipelineWorkflowConfig, - PipelineWorkflowReference, - PipelineWorkflowStep, -) -from .create_pipeline_config import create_pipeline_config -from .errors import ( - NoWorkflowsDefinedError, - UndefinedWorkflowError, - UnknownWorkflowError, -) -from .load_pipeline_config import load_pipeline_config -from .run import run_pipeline, run_pipeline_with_config -from .storage import PipelineStorage - -__all__ = [ - "NoWorkflowsDefinedError", - "PipelineBlobCacheConfig", - "PipelineBlobCacheConfig", - "PipelineBlobReportingConfig", - "PipelineBlobStorageConfig", - "PipelineCSVInputConfig", - "PipelineCache", - "PipelineCacheConfig", - "PipelineCacheConfigTypes", - "PipelineConfig", - "PipelineConsoleReportingConfig", - "PipelineFileCacheConfig", - "PipelineFileReportingConfig", - "PipelineFileStorageConfig", - "PipelineInputConfig", - "PipelineInputConfigTypes", - "PipelineMemoryCacheConfig", - "PipelineMemoryStorageConfig", - "PipelineNoneCacheConfig", - "PipelineReportingConfig", - "PipelineReportingConfigTypes", - "PipelineStorage", - "PipelineStorageConfig", - "PipelineStorageConfigTypes", - "PipelineTextInputConfig", - "PipelineWorkflowConfig", - "PipelineWorkflowReference", - "PipelineWorkflowStep", - "UndefinedWorkflowError", - "UnknownWorkflowError", - "create_pipeline_config", - "load_pipeline_config", - "run_pipeline", - "run_pipeline_with_config", -] +"""The indexing engine package root.""" diff --git a/graphrag/index/__main__.py b/graphrag/index/__main__.py deleted file mode 100644 index 578ffc9c33..0000000000 --- a/graphrag/index/__main__.py +++ /dev/null @@ -1,89 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine package root.""" - -import argparse - -from .cli import index_cli - -if __name__ == "__main__": - parser = argparse.ArgumentParser() - parser.add_argument( - "--config", - help="The configuration yaml file to use when running the pipeline", - required=False, - type=str, - ) - parser.add_argument( - "-v", - "--verbose", - help="Runs the pipeline with verbose logging", - action="store_true", - ) - parser.add_argument( - "--memprofile", - help="Runs the pipeline with memory profiling", - action="store_true", - ) - parser.add_argument( - "--root", - help="If no configuration is defined, the root directory to use for input data and output data. Default value: the current directory", - # Only required if config is not defined - required=False, - default=".", - type=str, - ) - parser.add_argument( - "--resume", - help="Resume a given data run leveraging Parquet output files.", - # Only required if config is not defined - required=False, - default=None, - type=str, - ) - parser.add_argument( - "--reporter", - help="The progress reporter to use. Valid values are 'rich', 'print', or 'none'", - type=str, - ) - parser.add_argument( - "--emit", - help="The data formats to emit, comma-separated. Valid values are 'parquet' and 'csv'. default='parquet,csv'", - type=str, - ) - parser.add_argument( - "--dryrun", - help="Run the pipeline without actually executing any steps and inspect the configuration.", - action="store_true", - ) - parser.add_argument("--nocache", help="Disable LLM cache.", action="store_true") - parser.add_argument( - "--init", - help="Create an initial configuration in the given path.", - action="store_true", - ) - parser.add_argument( - "--overlay-defaults", - help="Overlay default configuration values on a provided configuration file (--config).", - action="store_true", - ) - args = parser.parse_args() - - if args.overlay_defaults and not args.config: - parser.error("--overlay-defaults requires --config") - - index_cli( - root=args.root, - verbose=args.verbose or False, - resume=args.resume, - memprofile=args.memprofile or False, - nocache=args.nocache or False, - reporter=args.reporter, - config=args.config, - emit=args.emit, - dryrun=args.dryrun or False, - init=args.init or False, - overlay_defaults=args.overlay_defaults or False, - cli=True, - ) diff --git a/graphrag/index/bootstrap.py b/graphrag/index/bootstrap.py index 398ec88b20..222a6be0e1 100644 --- a/graphrag/index/bootstrap.py +++ b/graphrag/index/bootstrap.py @@ -20,8 +20,11 @@ def bootstrap(): from nltk.corpus import wordnet as wn nltk.download("punkt") + nltk.download("punkt_tab") nltk.download("averaged_perceptron_tagger") + nltk.download("averaged_perceptron_tagger_eng") nltk.download("maxent_ne_chunker") + nltk.download("maxent_ne_chunker_tab") nltk.download("words") nltk.download("wordnet") wn.ensure_loaded() diff --git a/graphrag/index/cache/__init__.py b/graphrag/index/cache/__init__.py index 42ebb22994..ece87659fd 100644 --- a/graphrag/index/cache/__init__.py +++ b/graphrag/index/cache/__init__.py @@ -2,17 +2,3 @@ # Licensed under the MIT License """The Indexing Engine cache package root.""" - -from .json_pipeline_cache import JsonPipelineCache -from .load_cache import load_cache -from .memory_pipeline_cache import InMemoryCache -from .noop_pipeline_cache import NoopPipelineCache -from .pipeline_cache import PipelineCache - -__all__ = [ - "InMemoryCache", - "JsonPipelineCache", - "NoopPipelineCache", - "PipelineCache", - "load_cache", -] diff --git a/graphrag/index/cache/json_pipeline_cache.py b/graphrag/index/cache/json_pipeline_cache.py index b88a38990c..13d5212394 100644 --- a/graphrag/index/cache/json_pipeline_cache.py +++ b/graphrag/index/cache/json_pipeline_cache.py @@ -6,9 +6,8 @@ import json from typing import Any -from graphrag.index.storage import PipelineStorage - -from .pipeline_cache import PipelineCache +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.storage.pipeline_storage import PipelineStorage class JsonPipelineCache(PipelineCache): @@ -44,7 +43,9 @@ async def set(self, key: str, value: Any, debug_data: dict | None = None) -> Non if value is None: return data = {"result": value, **(debug_data or {})} - await self._storage.set(key, json.dumps(data), encoding=self._encoding) + await self._storage.set( + key, json.dumps(data, ensure_ascii=False), encoding=self._encoding + ) async def has(self, key: str) -> bool: """Has method definition.""" diff --git a/graphrag/index/cache/load_cache.py b/graphrag/index/cache/load_cache.py index 4e0e6324fb..91f633367c 100644 --- a/graphrag/index/cache/load_cache.py +++ b/graphrag/index/cache/load_cache.py @@ -12,16 +12,17 @@ PipelineBlobCacheConfig, PipelineFileCacheConfig, ) -from graphrag.index.storage import BlobPipelineStorage, FilePipelineStorage +from graphrag.index.storage.blob_pipeline_storage import BlobPipelineStorage +from graphrag.index.storage.file_pipeline_storage import FilePipelineStorage if TYPE_CHECKING: - from graphrag.index.config import ( + from graphrag.index.config.cache import ( PipelineCacheConfig, ) -from .json_pipeline_cache import JsonPipelineCache -from .memory_pipeline_cache import create_memory_cache -from .noop_pipeline_cache import NoopPipelineCache +from graphrag.index.cache.json_pipeline_cache import JsonPipelineCache +from graphrag.index.cache.memory_pipeline_cache import create_memory_cache +from graphrag.index.cache.noop_pipeline_cache import NoopPipelineCache def load_cache(config: PipelineCacheConfig | None, root_dir: str | None): diff --git a/graphrag/index/cache/memory_pipeline_cache.py b/graphrag/index/cache/memory_pipeline_cache.py index fa42f3f921..2a9e19c9c0 100644 --- a/graphrag/index/cache/memory_pipeline_cache.py +++ b/graphrag/index/cache/memory_pipeline_cache.py @@ -5,7 +5,7 @@ from typing import Any -from .pipeline_cache import PipelineCache +from graphrag.index.cache.pipeline_cache import PipelineCache class InMemoryCache(PipelineCache): diff --git a/graphrag/index/cache/noop_pipeline_cache.py b/graphrag/index/cache/noop_pipeline_cache.py index b7c3e60fdd..738787ad35 100644 --- a/graphrag/index/cache/noop_pipeline_cache.py +++ b/graphrag/index/cache/noop_pipeline_cache.py @@ -5,7 +5,7 @@ from typing import Any -from .pipeline_cache import PipelineCache +from graphrag.index.cache.pipeline_cache import PipelineCache class NoopPipelineCache(PipelineCache): diff --git a/graphrag/index/cli.py b/graphrag/index/cli.py deleted file mode 100644 index 68dbcf785f..0000000000 --- a/graphrag/index/cli.py +++ /dev/null @@ -1,320 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Main definition.""" - -import asyncio -import json -import logging -import platform -import sys -import time -import warnings -from pathlib import Path - -from graphrag.config import ( - create_graphrag_config, -) -from graphrag.index import PipelineConfig, create_pipeline_config -from graphrag.index.cache import NoopPipelineCache -from graphrag.index.progress import ( - NullProgressReporter, - PrintProgressReporter, - ProgressReporter, -) -from graphrag.index.progress.rich import RichProgressReporter -from graphrag.index.run import run_pipeline_with_config - -from .emit import TableEmitterType -from .graph.extractors.claims.prompts import CLAIM_EXTRACTION_PROMPT -from .graph.extractors.community_reports.prompts import COMMUNITY_REPORT_PROMPT -from .graph.extractors.graph.prompts import GRAPH_EXTRACTION_PROMPT -from .graph.extractors.summarize.prompts import SUMMARIZE_PROMPT -from .init_content import INIT_DOTENV, INIT_YAML - -# Ignore warnings from numba -warnings.filterwarnings("ignore", message=".*NumbaDeprecationWarning.*") - -log = logging.getLogger(__name__) - - -def redact(input: dict) -> str: - """Sanitize the config json.""" - - # Redact any sensitive configuration - def redact_dict(input: dict) -> dict: - if not isinstance(input, dict): - return input - - result = {} - for key, value in input.items(): - if key in { - "api_key", - "connection_string", - "container_name", - "organization", - }: - if value is not None: - result[key] = f"REDACTED, length {len(value)}" - elif isinstance(value, dict): - result[key] = redact_dict(value) - elif isinstance(value, list): - result[key] = [redact_dict(i) for i in value] - else: - result[key] = value - return result - - redacted_dict = redact_dict(input) - return json.dumps(redacted_dict, indent=4) - - -def index_cli( - root: str, - init: bool, - verbose: bool, - resume: str | None, - memprofile: bool, - nocache: bool, - reporter: str | None, - config: str | None, - emit: str | None, - dryrun: bool, - overlay_defaults: bool, - cli: bool = False, -): - """Run the pipeline with the given config.""" - run_id = resume or time.strftime("%Y%m%d-%H%M%S") - _enable_logging(root, run_id, verbose) - progress_reporter = _get_progress_reporter(reporter) - if init: - _initialize_project_at(root, progress_reporter) - sys.exit(0) - if overlay_defaults: - pipeline_config: str | PipelineConfig = _create_default_config( - root, config, verbose, dryrun or False, progress_reporter - ) - else: - pipeline_config: str | PipelineConfig = config or _create_default_config( - root, None, verbose, dryrun or False, progress_reporter - ) - cache = NoopPipelineCache() if nocache else None - pipeline_emit = emit.split(",") if emit else None - encountered_errors = False - - def _run_workflow_async() -> None: - import signal - - def handle_signal(signum, _): - # Handle the signal here - progress_reporter.info(f"Received signal {signum}, exiting...") - progress_reporter.dispose() - for task in asyncio.all_tasks(): - task.cancel() - progress_reporter.info("All tasks cancelled. Exiting...") - - # Register signal handlers for SIGINT and SIGHUP - signal.signal(signal.SIGINT, handle_signal) - - if sys.platform != "win32": - signal.signal(signal.SIGHUP, handle_signal) - - async def execute(): - nonlocal encountered_errors - async for output in run_pipeline_with_config( - pipeline_config, - run_id=run_id, - memory_profile=memprofile, - cache=cache, - progress_reporter=progress_reporter, - emit=( - [TableEmitterType(e) for e in pipeline_emit] - if pipeline_emit - else None - ), - is_resume_run=bool(resume), - ): - if output.errors and len(output.errors) > 0: - encountered_errors = True - progress_reporter.error(output.workflow) - else: - progress_reporter.success(output.workflow) - - progress_reporter.info(str(output.result)) - - if platform.system() == "Windows": - import nest_asyncio # type: ignore Ignoring because out of windows this will cause an error - - nest_asyncio.apply() - loop = asyncio.get_event_loop() - loop.run_until_complete(execute()) - elif sys.version_info >= (3, 11): - import uvloop # type: ignore Ignoring because on windows this will cause an error - - with asyncio.Runner(loop_factory=uvloop.new_event_loop) as runner: # type: ignore Ignoring because minor versions this will throw an error - runner.run(execute()) - else: - import uvloop # type: ignore Ignoring because on windows this will cause an error - - uvloop.install() - asyncio.run(execute()) - - _run_workflow_async() - progress_reporter.stop() - if encountered_errors: - progress_reporter.error( - "Errors occurred during the pipeline run, see logs for more details." - ) - else: - progress_reporter.success("All workflows completed successfully.") - - if cli: - sys.exit(1 if encountered_errors else 0) - - -def _initialize_project_at(path: str, reporter: ProgressReporter) -> None: - """Initialize the project at the given path.""" - reporter.info(f"Initializing project at {path}") - root = Path(path) - if not root.exists(): - root.mkdir(parents=True, exist_ok=True) - - settings_yaml = root / "settings.yaml" - if settings_yaml.exists(): - msg = f"Project already initialized at {root}" - raise ValueError(msg) - - dotenv = root / ".env" - if not dotenv.exists(): - with settings_yaml.open("wb") as file: - file.write(INIT_YAML.encode(encoding="utf-8", errors="strict")) - - with dotenv.open("wb") as file: - file.write(INIT_DOTENV.encode(encoding="utf-8", errors="strict")) - - prompts_dir = root / "prompts" - if not prompts_dir.exists(): - prompts_dir.mkdir(parents=True, exist_ok=True) - - entity_extraction = prompts_dir / "entity_extraction.txt" - if not entity_extraction.exists(): - with entity_extraction.open("wb") as file: - file.write( - GRAPH_EXTRACTION_PROMPT.encode(encoding="utf-8", errors="strict") - ) - - summarize_descriptions = prompts_dir / "summarize_descriptions.txt" - if not summarize_descriptions.exists(): - with summarize_descriptions.open("wb") as file: - file.write(SUMMARIZE_PROMPT.encode(encoding="utf-8", errors="strict")) - - claim_extraction = prompts_dir / "claim_extraction.txt" - if not claim_extraction.exists(): - with claim_extraction.open("wb") as file: - file.write( - CLAIM_EXTRACTION_PROMPT.encode(encoding="utf-8", errors="strict") - ) - - community_report = prompts_dir / "community_report.txt" - if not community_report.exists(): - with community_report.open("wb") as file: - file.write( - COMMUNITY_REPORT_PROMPT.encode(encoding="utf-8", errors="strict") - ) - - -def _create_default_config( - root: str, - config: str | None, - verbose: bool, - dryrun: bool, - reporter: ProgressReporter, -) -> PipelineConfig: - """Overlay default values on an existing config or create a default config if none is provided.""" - if config and not Path(config).exists(): - msg = f"Configuration file {config} does not exist" - raise ValueError - - if not Path(root).exists(): - msg = f"Root directory {root} does not exist" - raise ValueError(msg) - - parameters = _read_config_parameters(root, config, reporter) - log.info( - "using default configuration: %s", - redact(parameters.model_dump()), - ) - - if verbose or dryrun: - reporter.info(f"Using default configuration: {redact(parameters.model_dump())}") - result = create_pipeline_config(parameters, verbose) - if verbose or dryrun: - reporter.info(f"Final Config: {redact(result.model_dump())}") - - if dryrun: - reporter.info("dry run complete, exiting...") - sys.exit(0) - return result - - -def _read_config_parameters(root: str, config: str | None, reporter: ProgressReporter): - _root = Path(root) - settings_yaml = ( - Path(config) - if config and Path(config).suffix in [".yaml", ".yml"] - else _root / "settings.yaml" - ) - if not settings_yaml.exists(): - settings_yaml = _root / "settings.yml" - settings_json = ( - Path(config) - if config and Path(config).suffix == ".json" - else _root / "settings.json" - ) - - if settings_yaml.exists(): - reporter.success(f"Reading settings from {settings_yaml}") - with settings_yaml.open("rb") as file: - import yaml - - data = yaml.safe_load(file.read().decode(encoding="utf-8", errors="strict")) - return create_graphrag_config(data, root) - - if settings_json.exists(): - reporter.success(f"Reading settings from {settings_json}") - with settings_json.open("rb") as file: - import json - - data = json.loads(file.read().decode(encoding="utf-8", errors="strict")) - return create_graphrag_config(data, root) - - reporter.success("Reading settings from environment variables") - return create_graphrag_config(root_dir=root) - - -def _get_progress_reporter(reporter_type: str | None) -> ProgressReporter: - if reporter_type is None or reporter_type == "rich": - return RichProgressReporter("GraphRAG Indexer ") - if reporter_type == "print": - return PrintProgressReporter("GraphRAG Indexer ") - if reporter_type == "none": - return NullProgressReporter() - - msg = f"Invalid progress reporter type: {reporter_type}" - raise ValueError(msg) - - -def _enable_logging(root_dir: str, run_id: str, verbose: bool) -> None: - logging_file = ( - Path(root_dir) / "output" / run_id / "reports" / "indexing-engine.log" - ) - logging_file.parent.mkdir(parents=True, exist_ok=True) - - logging_file.touch(exist_ok=True) - - logging.basicConfig( - filename=str(logging_file), - filemode="a", - format="%(asctime)s,%(msecs)d %(name)s %(levelname)s %(message)s", - datefmt="%H:%M:%S", - level=logging.DEBUG if verbose else logging.INFO, - ) diff --git a/graphrag/index/config/__init__.py b/graphrag/index/config/__init__.py index 3c40762a84..7a8b16c91d 100644 --- a/graphrag/index/config/__init__.py +++ b/graphrag/index/config/__init__.py @@ -2,68 +2,3 @@ # Licensed under the MIT License """The Indexing Engine config typing package root.""" - -from .cache import ( - PipelineBlobCacheConfig, - PipelineCacheConfig, - PipelineCacheConfigTypes, - PipelineFileCacheConfig, - PipelineMemoryCacheConfig, - PipelineNoneCacheConfig, -) -from .input import ( - PipelineCSVInputConfig, - PipelineInputConfig, - PipelineInputConfigTypes, - PipelineTextInputConfig, -) -from .pipeline import PipelineConfig -from .reporting import ( - PipelineBlobReportingConfig, - PipelineConsoleReportingConfig, - PipelineFileReportingConfig, - PipelineReportingConfig, - PipelineReportingConfigTypes, -) -from .storage import ( - PipelineBlobStorageConfig, - PipelineFileStorageConfig, - PipelineMemoryStorageConfig, - PipelineStorageConfig, - PipelineStorageConfigTypes, -) -from .workflow import ( - PipelineWorkflowConfig, - PipelineWorkflowReference, - PipelineWorkflowStep, -) - -__all__ = [ - "PipelineBlobCacheConfig", - "PipelineBlobReportingConfig", - "PipelineBlobStorageConfig", - "PipelineCSVInputConfig", - "PipelineCacheConfig", - "PipelineCacheConfigTypes", - "PipelineCacheConfigTypes", - "PipelineCacheConfigTypes", - "PipelineConfig", - "PipelineConsoleReportingConfig", - "PipelineFileCacheConfig", - "PipelineFileReportingConfig", - "PipelineFileStorageConfig", - "PipelineInputConfig", - "PipelineInputConfigTypes", - "PipelineMemoryCacheConfig", - "PipelineMemoryCacheConfig", - "PipelineMemoryStorageConfig", - "PipelineNoneCacheConfig", - "PipelineReportingConfig", - "PipelineReportingConfigTypes", - "PipelineStorageConfig", - "PipelineStorageConfigTypes", - "PipelineTextInputConfig", - "PipelineWorkflowConfig", - "PipelineWorkflowReference", - "PipelineWorkflowStep", -] diff --git a/graphrag/index/config/embeddings.py b/graphrag/index/config/embeddings.py new file mode 100644 index 0000000000..02e9c912c4 --- /dev/null +++ b/graphrag/index/config/embeddings.py @@ -0,0 +1,29 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing embeddings values.""" + +entity_title_embedding = "entity.title" +entity_description_embedding = "entity.description" +relationship_description_embedding = "relationship.description" +document_text_embedding = "document.text" +community_title_embedding = "community.title" +community_summary_embedding = "community.summary" +community_full_content_embedding = "community.full_content" +text_unit_text_embedding = "text_unit.text" + +all_embeddings: set[str] = { + entity_title_embedding, + entity_description_embedding, + relationship_description_embedding, + document_text_embedding, + community_title_embedding, + community_summary_embedding, + community_full_content_embedding, + text_unit_text_embedding, +} +required_embeddings: set[str] = { + entity_description_embedding, + community_full_content_embedding, + text_unit_text_embedding, +} diff --git a/graphrag/index/config/input.py b/graphrag/index/config/input.py index 35db357599..b3e4e89e8b 100644 --- a/graphrag/index/config/input.py +++ b/graphrag/index/config/input.py @@ -11,8 +11,7 @@ from pydantic import Field as pydantic_Field from graphrag.config.enums import InputFileType, InputType - -from .workflow import PipelineWorkflowStep +from graphrag.index.config.workflow import PipelineWorkflowStep T = TypeVar("T") diff --git a/graphrag/index/config/pipeline.py b/graphrag/index/config/pipeline.py index 30d866e349..8ee420cc28 100644 --- a/graphrag/index/config/pipeline.py +++ b/graphrag/index/config/pipeline.py @@ -9,11 +9,11 @@ from pydantic import BaseModel from pydantic import Field as pydantic_Field -from .cache import PipelineCacheConfigTypes -from .input import PipelineInputConfigTypes -from .reporting import PipelineReportingConfigTypes -from .storage import PipelineStorageConfigTypes -from .workflow import PipelineWorkflowReference +from graphrag.index.config.cache import PipelineCacheConfigTypes +from graphrag.index.config.input import PipelineInputConfigTypes +from graphrag.index.config.reporting import PipelineReportingConfigTypes +from graphrag.index.config.storage import PipelineStorageConfigTypes +from graphrag.index.config.workflow import PipelineWorkflowReference class PipelineConfig(BaseModel): @@ -47,6 +47,11 @@ def __str__(self): ) """The storage configuration for the pipeline.""" + update_index_storage: PipelineStorageConfigTypes | None = pydantic_Field( + default=None, discriminator="type" + ) + """The storage configuration for the updated index.""" + cache: PipelineCacheConfigTypes | None = pydantic_Field( default=None, discriminator="type" ) diff --git a/graphrag/index/context.py b/graphrag/index/context.py index e74799bd35..fa4c9b2728 100644 --- a/graphrag/index/context.py +++ b/graphrag/index/context.py @@ -7,8 +7,8 @@ from dataclasses import dataclass as dc_dataclass from dataclasses import field -from .cache import PipelineCache -from .storage.typing import PipelineStorage +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.storage.pipeline_storage import PipelineStorage @dc_dataclass @@ -34,7 +34,11 @@ class PipelineRunContext: stats: PipelineRunStats storage: PipelineStorage + "Long-term storage for pipeline verbs to use. Items written here will be written to the storage provider." cache: PipelineCache + "Cache instance for reading previous LLM responses." + runtime_storage: PipelineStorage + "Runtime only storage for pipeline verbs to use. Items written here will only live in memory during the current run." # TODO: For now, just has the same props available to it diff --git a/graphrag/index/create_pipeline_config.py b/graphrag/index/create_pipeline_config.py index 40f36247ba..76a7e9b118 100644 --- a/graphrag/index/create_pipeline_config.py +++ b/graphrag/index/create_pipeline_config.py @@ -14,10 +14,9 @@ StorageType, TextEmbeddingTarget, ) -from graphrag.config.models import ( - GraphRagConfig, - TextEmbeddingConfig, -) +from graphrag.config.models.graph_rag_config import GraphRagConfig +from graphrag.config.models.storage_config import StorageConfig +from graphrag.config.models.text_embedding_config import TextEmbeddingConfig from graphrag.index.config.cache import ( PipelineBlobCacheConfig, PipelineCacheConfigTypes, @@ -25,6 +24,10 @@ PipelineMemoryCacheConfig, PipelineNoneCacheConfig, ) +from graphrag.index.config.embeddings import ( + all_embeddings, + required_embeddings, +) from graphrag.index.config.input import ( PipelineCSVInputConfig, PipelineInputConfigTypes, @@ -49,9 +52,7 @@ PipelineWorkflowReference, ) from graphrag.index.workflows.default_workflows import ( - create_base_documents, create_base_entity_graph, - create_base_extracted_entities, create_base_text_units, create_final_communities, create_final_community_reports, @@ -61,37 +62,11 @@ create_final_nodes, create_final_relationships, create_final_text_units, - create_summarized_entities, - join_text_units_to_covariate_ids, - join_text_units_to_entity_ids, - join_text_units_to_relationship_ids, + generate_text_embeddings, ) log = logging.getLogger(__name__) - -entity_name_embedding = "entity.name" -entity_description_embedding = "entity.description" -relationship_description_embedding = "relationship.description" -document_raw_content_embedding = "document.raw_content" -community_title_embedding = "community.title" -community_summary_embedding = "community.summary" -community_full_content_embedding = "community.full_content" -text_unit_text_embedding = "text_unit.text" - -all_embeddings: set[str] = { - entity_name_embedding, - entity_description_embedding, - relationship_description_embedding, - document_raw_content_embedding, - community_title_embedding, - community_summary_embedding, - community_full_content_embedding, - text_unit_text_embedding, -} -required_embeddings: set[str] = {entity_description_embedding} - - builtin_document_attributes: set[str] = { "id", "source", @@ -113,7 +88,7 @@ def create_pipeline_config(settings: GraphRagConfig, verbose=False) -> PipelineC if verbose: _log_llm_settings(settings) - skip_workflows = _determine_skip_workflows(settings) + skip_workflows = settings.skip_workflows embedded_fields = _get_embedded_fields(settings) covariates_enabled = ( settings.claim_extraction.enabled @@ -124,14 +99,18 @@ def create_pipeline_config(settings: GraphRagConfig, verbose=False) -> PipelineC root_dir=settings.root_dir, input=_get_pipeline_input_config(settings), reporting=_get_reporting_config(settings), - storage=_get_storage_config(settings), + storage=_get_storage_config(settings, settings.storage), + update_index_storage=_get_storage_config( + settings, settings.update_index_storage + ), cache=_get_cache_config(settings), workflows=[ - *_document_workflows(settings, embedded_fields), - *_text_unit_workflows(settings, covariates_enabled, embedded_fields), - *_graph_workflows(settings, embedded_fields), - *_community_workflows(settings, covariates_enabled, embedded_fields), + *_document_workflows(settings), + *_text_unit_workflows(settings, covariates_enabled), + *_graph_workflows(settings), + *_community_workflows(settings, covariates_enabled), *(_covariate_workflows(settings) if covariates_enabled else []), + *(_embeddings_workflows(settings, embedded_fields)), ], ) @@ -144,24 +123,16 @@ def create_pipeline_config(settings: GraphRagConfig, verbose=False) -> PipelineC def _get_embedded_fields(settings: GraphRagConfig) -> set[str]: match settings.embeddings.target: case TextEmbeddingTarget.all: - return all_embeddings - {*settings.embeddings.skip} + return all_embeddings.difference(settings.embeddings.skip) case TextEmbeddingTarget.required: return required_embeddings + case TextEmbeddingTarget.none: + return set() case _: msg = f"Unknown embeddings target: {settings.embeddings.target}" raise ValueError(msg) -def _determine_skip_workflows(settings: GraphRagConfig) -> list[str]: - skip_workflows = settings.skip_workflows - if ( - create_final_covariates in skip_workflows - and join_text_units_to_covariate_ids not in skip_workflows - ): - skip_workflows.append(join_text_units_to_covariate_ids) - return skip_workflows - - def _log_llm_settings(settings: GraphRagConfig) -> None: log.info( "Using LLM Config %s", @@ -179,28 +150,16 @@ def _log_llm_settings(settings: GraphRagConfig) -> None: def _document_workflows( - settings: GraphRagConfig, embedded_fields: set[str] + settings: GraphRagConfig, ) -> list[PipelineWorkflowReference]: - skip_document_raw_content_embedding = ( - document_raw_content_embedding not in embedded_fields - ) return [ PipelineWorkflowReference( - name=create_base_documents, + name=create_final_documents, config={ "document_attribute_columns": list( {*(settings.input.document_attribute_columns)} - builtin_document_attributes - ) - }, - ), - PipelineWorkflowReference( - name=create_final_documents, - config={ - "document_raw_content_embed": _get_embedding_settings( - settings.embeddings, "document_raw_content" ), - "skip_raw_content_embedding": skip_document_raw_content_embedding, }, ), ] @@ -209,50 +168,36 @@ def _document_workflows( def _text_unit_workflows( settings: GraphRagConfig, covariates_enabled: bool, - embedded_fields: set[str], ) -> list[PipelineWorkflowReference]: - skip_text_unit_embedding = text_unit_text_embedding not in embedded_fields return [ PipelineWorkflowReference( name=create_base_text_units, config={ + "snapshot_transient": settings.snapshots.transient, "chunk_by": settings.chunks.group_by_columns, - "text_chunk": {"strategy": settings.chunks.resolved_strategy()}, + "text_chunk": { + "strategy": settings.chunks.resolved_strategy( + settings.encoding_model + ) + }, }, ), - PipelineWorkflowReference( - name=join_text_units_to_entity_ids, - ), - PipelineWorkflowReference( - name=join_text_units_to_relationship_ids, - ), - *( - [ - PipelineWorkflowReference( - name=join_text_units_to_covariate_ids, - ) - ] - if covariates_enabled - else [] - ), PipelineWorkflowReference( name=create_final_text_units, config={ - "text_unit_text_embed": _get_embedding_settings( - settings.embeddings, "text_unit_text" - ), "covariates_enabled": covariates_enabled, - "skip_text_unit_embedding": skip_text_unit_embedding, }, ), ] -def _get_embedding_settings(settings: TextEmbeddingConfig, embedding_name: str) -> dict: +def _get_embedding_settings( + settings: TextEmbeddingConfig, + vector_store_params: dict | None = None, +) -> dict: vector_store_settings = settings.vector_store if vector_store_settings is None: return {"strategy": settings.resolved_strategy()} - # # If we get to this point, settings.vector_store is defined, and there's a specific setting for this embedding. # settings.vector_store.base contains connection information, or may be undefined @@ -260,31 +205,22 @@ def _get_embedding_settings(settings: TextEmbeddingConfig, embedding_name: str) # strategy = settings.resolved_strategy() # get the default strategy strategy.update({ - "vector_store": vector_store_settings + "vector_store": {**(vector_store_params or {}), **vector_store_settings} }) # update the default strategy with the vector store settings # This ensures the vector store config is part of the strategy and not the global config return { "strategy": strategy, - "embedding_name": embedding_name, } -def _graph_workflows( - settings: GraphRagConfig, embedded_fields: set[str] -) -> list[PipelineWorkflowReference]: - skip_entity_name_embedding = entity_name_embedding not in embedded_fields - skip_entity_description_embedding = ( - entity_description_embedding not in embedded_fields - ) - skip_relationship_description_embedding = ( - relationship_description_embedding not in embedded_fields - ) +def _graph_workflows(settings: GraphRagConfig) -> list[PipelineWorkflowReference]: return [ PipelineWorkflowReference( - name=create_base_extracted_entities, + name=create_base_entity_graph, config={ - "graphml_snapshot": settings.snapshots.graphml, - "raw_entity_snapshot": settings.snapshots.raw_entities, + "snapshot_graphml": settings.snapshots.graphml, + "snapshot_transient": settings.snapshots.transient, + "snapshot_raw_entities": settings.snapshots.raw_entities, "entity_extract": { **settings.entity_extraction.parallelization.model_dump(), "async_mode": settings.entity_extraction.async_mode, @@ -293,12 +229,6 @@ def _graph_workflows( ), "entity_types": settings.entity_extraction.entity_types, }, - }, - ), - PipelineWorkflowReference( - name=create_summarized_entities, - config={ - "graphml_snapshot": settings.snapshots.graphml, "summarize_descriptions": { **settings.summarize_descriptions.parallelization.model_dump(), "async_mode": settings.summarize_descriptions.async_mode, @@ -306,12 +236,6 @@ def _graph_workflows( settings.root_dir, ), }, - }, - ), - PipelineWorkflowReference( - name=create_base_entity_graph, - config={ - "graphml_snapshot": settings.snapshots.graphml, "embed_graph_enabled": settings.embed_graph.enabled, "cluster_graph": { "strategy": settings.cluster_graph.resolved_strategy() @@ -321,25 +245,11 @@ def _graph_workflows( ), PipelineWorkflowReference( name=create_final_entities, - config={ - "entity_name_embed": _get_embedding_settings( - settings.embeddings, "entity_name" - ), - "entity_name_description_embed": _get_embedding_settings( - settings.embeddings, "entity_name_description" - ), - "skip_name_embedding": skip_entity_name_embedding, - "skip_description_embedding": skip_entity_description_embedding, - }, + config={}, ), PipelineWorkflowReference( name=create_final_relationships, - config={ - "relationship_description_embed": _get_embedding_settings( - settings.embeddings, "relationship_description" - ), - "skip_description_embedding": skip_relationship_description_embedding, - }, + config={}, ), PipelineWorkflowReference( name=create_final_nodes, @@ -352,24 +262,14 @@ def _graph_workflows( def _community_workflows( - settings: GraphRagConfig, covariates_enabled: bool, embedded_fields: set[str] + settings: GraphRagConfig, covariates_enabled: bool ) -> list[PipelineWorkflowReference]: - skip_community_title_embedding = community_title_embedding not in embedded_fields - skip_community_summary_embedding = ( - community_summary_embedding not in embedded_fields - ) - skip_community_full_content_embedding = ( - community_full_content_embedding not in embedded_fields - ) return [ PipelineWorkflowReference(name=create_final_communities), PipelineWorkflowReference( name=create_final_community_reports, config={ "covariates_enabled": covariates_enabled, - "skip_title_embedding": skip_community_title_embedding, - "skip_summary_embedding": skip_community_summary_embedding, - "skip_full_content_embedding": skip_community_full_content_embedding, "create_community_reports": { **settings.community_reports.parallelization.model_dump(), "async_mode": settings.community_reports.async_mode, @@ -377,15 +277,6 @@ def _community_workflows( settings.root_dir ), }, - "community_report_full_content_embed": _get_embedding_settings( - settings.embeddings, "community_report_full_content" - ), - "community_report_summary_embed": _get_embedding_settings( - settings.embeddings, "community_report_summary" - ), - "community_report_title_embed": _get_embedding_settings( - settings.embeddings, "community_report_title" - ), }, ), ] @@ -401,7 +292,7 @@ def _covariate_workflows( "claim_extract": { **settings.claim_extraction.parallelization.model_dump(), "strategy": settings.claim_extraction.resolved_strategy( - settings.root_dir + settings.root_dir, settings.encoding_model ), }, }, @@ -409,6 +300,21 @@ def _covariate_workflows( ] +def _embeddings_workflows( + settings: GraphRagConfig, embedded_fields: set[str] +) -> list[PipelineWorkflowReference]: + return [ + PipelineWorkflowReference( + name=generate_text_embeddings, + config={ + "snapshot_embeddings": settings.snapshots.embeddings, + "text_embed": _get_embedding_settings(settings.embeddings), + "embedded_fields": embedded_fields, + }, + ), + ] + + def _get_pipeline_input_config( settings: GraphRagConfig, ) -> PipelineInputConfigTypes: @@ -477,23 +383,26 @@ def _get_reporting_config( def _get_storage_config( settings: GraphRagConfig, -) -> PipelineStorageConfigTypes: + storage_settings: StorageConfig | None, +) -> PipelineStorageConfigTypes | None: """Get the storage type from the settings.""" + if not storage_settings: + return None root_dir = settings.root_dir - match settings.storage.type: + match storage_settings.type: case StorageType.memory: return PipelineMemoryStorageConfig() case StorageType.file: # relative to the root_dir - base_dir = settings.storage.base_dir + base_dir = storage_settings.base_dir if base_dir is None: msg = "Base directory must be provided for file storage." raise ValueError(msg) return PipelineFileStorageConfig(base_dir=str(Path(root_dir) / base_dir)) case StorageType.blob: - connection_string = settings.storage.connection_string - storage_account_blob_url = settings.storage.storage_account_blob_url - container_name = settings.storage.container_name + connection_string = storage_settings.connection_string + storage_account_blob_url = storage_settings.storage_account_blob_url + container_name = storage_settings.container_name if container_name is None: msg = "Container name must be provided for blob storage." raise ValueError(msg) @@ -503,12 +412,12 @@ def _get_storage_config( return PipelineBlobStorageConfig( connection_string=connection_string, container_name=container_name, - base_dir=settings.storage.base_dir, + base_dir=storage_settings.base_dir, storage_account_blob_url=storage_account_blob_url, ) case _: # relative to the root_dir - base_dir = settings.storage.base_dir + base_dir = storage_settings.base_dir if base_dir is None: msg = "Base directory must be provided for file storage." raise ValueError(msg) diff --git a/graphrag/index/emit/__init__.py b/graphrag/index/emit/__init__.py index 354989e338..7ae6eea9f1 100644 --- a/graphrag/index/emit/__init__.py +++ b/graphrag/index/emit/__init__.py @@ -2,20 +2,3 @@ # Licensed under the MIT License """Definitions for emitting pipeline artifacts to storage.""" - -from .csv_table_emitter import CSVTableEmitter -from .factories import create_table_emitter, create_table_emitters -from .json_table_emitter import JsonTableEmitter -from .parquet_table_emitter import ParquetTableEmitter -from .table_emitter import TableEmitter -from .types import TableEmitterType - -__all__ = [ - "CSVTableEmitter", - "JsonTableEmitter", - "ParquetTableEmitter", - "TableEmitter", - "TableEmitterType", - "create_table_emitter", - "create_table_emitters", -] diff --git a/graphrag/index/emit/csv_table_emitter.py b/graphrag/index/emit/csv_table_emitter.py index c0305c254b..3ba976b8df 100644 --- a/graphrag/index/emit/csv_table_emitter.py +++ b/graphrag/index/emit/csv_table_emitter.py @@ -7,9 +7,8 @@ import pandas as pd -from graphrag.index.storage import PipelineStorage - -from .table_emitter import TableEmitter +from graphrag.index.emit.table_emitter import TableEmitter +from graphrag.index.storage.pipeline_storage import PipelineStorage log = logging.getLogger(__name__) diff --git a/graphrag/index/emit/factories.py b/graphrag/index/emit/factories.py index 84afa68443..9a83e7185b 100644 --- a/graphrag/index/emit/factories.py +++ b/graphrag/index/emit/factories.py @@ -3,15 +3,14 @@ """Table Emitter Factories.""" -from graphrag.index.storage import PipelineStorage +from graphrag.index.emit.csv_table_emitter import CSVTableEmitter +from graphrag.index.emit.json_table_emitter import JsonTableEmitter +from graphrag.index.emit.parquet_table_emitter import ParquetTableEmitter +from graphrag.index.emit.table_emitter import TableEmitter +from graphrag.index.emit.types import TableEmitterType +from graphrag.index.storage.pipeline_storage import PipelineStorage from graphrag.index.typing import ErrorHandlerFn -from .csv_table_emitter import CSVTableEmitter -from .json_table_emitter import JsonTableEmitter -from .parquet_table_emitter import ParquetTableEmitter -from .table_emitter import TableEmitter -from .types import TableEmitterType - def create_table_emitter( emitter_type: TableEmitterType, storage: PipelineStorage, on_error: ErrorHandlerFn diff --git a/graphrag/index/emit/json_table_emitter.py b/graphrag/index/emit/json_table_emitter.py index 0b18c717a6..ceadc414d9 100644 --- a/graphrag/index/emit/json_table_emitter.py +++ b/graphrag/index/emit/json_table_emitter.py @@ -7,9 +7,8 @@ import pandas as pd -from graphrag.index.storage import PipelineStorage - -from .table_emitter import TableEmitter +from graphrag.index.emit.table_emitter import TableEmitter +from graphrag.index.storage.pipeline_storage import PipelineStorage log = logging.getLogger(__name__) diff --git a/graphrag/index/emit/parquet_table_emitter.py b/graphrag/index/emit/parquet_table_emitter.py index 753915a79a..e649f283c3 100644 --- a/graphrag/index/emit/parquet_table_emitter.py +++ b/graphrag/index/emit/parquet_table_emitter.py @@ -9,11 +9,10 @@ import pandas as pd from pyarrow.lib import ArrowInvalid, ArrowTypeError -from graphrag.index.storage import PipelineStorage +from graphrag.index.emit.table_emitter import TableEmitter +from graphrag.index.storage.pipeline_storage import PipelineStorage from graphrag.index.typing import ErrorHandlerFn -from .table_emitter import TableEmitter - log = logging.getLogger(__name__) diff --git a/graphrag/index/emit/types.py b/graphrag/index/emit/types.py index ab3452856f..4c8e8f891b 100644 --- a/graphrag/index/emit/types.py +++ b/graphrag/index/emit/types.py @@ -12,3 +12,7 @@ class TableEmitterType(str, Enum): Json = "json" Parquet = "parquet" CSV = "csv" + + def __str__(self): + """Return the string representation of the enum value.""" + return self.value diff --git a/graphrag/index/verbs/graph/report/strategies/__init__.py b/graphrag/index/flows/__init__.py similarity index 54% rename from graphrag/index/verbs/graph/report/strategies/__init__.py rename to graphrag/index/flows/__init__.py index 87d1f9e252..b09c865054 100644 --- a/graphrag/index/verbs/graph/report/strategies/__init__.py +++ b/graphrag/index/flows/__init__.py @@ -1,4 +1,4 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""The Indexing Engine graph report strategies package root.""" +"""Core workflows without DataShaper wrappings.""" diff --git a/graphrag/index/flows/create_base_entity_graph.py b/graphrag/index/flows/create_base_entity_graph.py new file mode 100644 index 0000000000..fe429d336b --- /dev/null +++ b/graphrag/index/flows/create_base_entity_graph.py @@ -0,0 +1,143 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to create the base entity graph.""" + +from typing import Any, cast + +import pandas as pd +from datashaper import ( + AsyncType, + VerbCallbacks, +) + +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.operations.cluster_graph import cluster_graph +from graphrag.index.operations.embed_graph import embed_graph +from graphrag.index.operations.extract_entities import extract_entities +from graphrag.index.operations.merge_graphs import merge_graphs +from graphrag.index.operations.snapshot import snapshot +from graphrag.index.operations.snapshot_graphml import snapshot_graphml +from graphrag.index.operations.snapshot_rows import snapshot_rows +from graphrag.index.operations.summarize_descriptions import ( + summarize_descriptions, +) +from graphrag.index.storage.pipeline_storage import PipelineStorage + + +async def create_base_entity_graph( + text_units: pd.DataFrame, + callbacks: VerbCallbacks, + cache: PipelineCache, + storage: PipelineStorage, + clustering_strategy: dict[str, Any], + extraction_strategy: dict[str, Any] | None = None, + extraction_num_threads: int = 4, + extraction_async_mode: AsyncType = AsyncType.AsyncIO, + entity_types: list[str] | None = None, + node_merge_config: dict[str, Any] | None = None, + edge_merge_config: dict[str, Any] | None = None, + summarization_strategy: dict[str, Any] | None = None, + summarization_num_threads: int = 4, + embedding_strategy: dict[str, Any] | None = None, + snapshot_graphml_enabled: bool = False, + snapshot_raw_entities_enabled: bool = False, + snapshot_transient_enabled: bool = False, +) -> pd.DataFrame: + """All the steps to create the base entity graph.""" + # this returns a graph for each text unit, to be merged later + entities, entity_graphs = await extract_entities( + text_units, + callbacks, + cache, + text_column="text", + id_column="id", + strategy=extraction_strategy, + async_mode=extraction_async_mode, + entity_types=entity_types, + to="entities", + num_threads=extraction_num_threads, + ) + + merged_graph = merge_graphs( + entity_graphs, + callbacks, + node_operations=node_merge_config, + edge_operations=edge_merge_config, + ) + + summarized = await summarize_descriptions( + merged_graph, + callbacks, + cache, + strategy=summarization_strategy, + num_threads=summarization_num_threads, + ) + + clustered = cluster_graph( + summarized, + callbacks, + column="entity_graph", + strategy=clustering_strategy, + to="clustered_graph", + level_to="level", + ) + + if embedding_strategy: + clustered["embeddings"] = await embed_graph( + clustered, + callbacks, + column="clustered_graph", + strategy=embedding_strategy, + ) + + if snapshot_raw_entities_enabled: + await snapshot( + entities, + name="raw_extracted_entities", + storage=storage, + formats=["json"], + ) + + if snapshot_graphml_enabled: + await snapshot_graphml( + merged_graph, + name="merged_graph", + storage=storage, + ) + await snapshot_graphml( + summarized, + name="summarized_graph", + storage=storage, + ) + await snapshot_rows( + clustered, + column="clustered_graph", + base_name="clustered_graph", + storage=storage, + formats=[{"format": "text", "extension": "graphml"}], + ) + if embedding_strategy: + await snapshot_rows( + clustered, + column="entity_graph", + base_name="embedded_graph", + storage=storage, + formats=[{"format": "text", "extension": "graphml"}], + ) + + final_columns = ["level", "clustered_graph"] + if embedding_strategy: + final_columns.append("embeddings") + + output = cast(pd.DataFrame, clustered[final_columns]) + + if snapshot_transient_enabled: + await snapshot( + output, + name="create_base_entity_graph", + storage=storage, + formats=["parquet"], + ) + + return output diff --git a/graphrag/index/flows/create_base_text_units.py b/graphrag/index/flows/create_base_text_units.py new file mode 100644 index 0000000000..cca55d3a17 --- /dev/null +++ b/graphrag/index/flows/create_base_text_units.py @@ -0,0 +1,141 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform base text_units.""" + +from dataclasses import dataclass +from typing import Any, cast + +import pandas as pd +from datashaper import ( + FieldAggregateOperation, + Progress, + VerbCallbacks, + aggregate_operation_mapping, +) + +from graphrag.index.operations.chunk_text import chunk_text +from graphrag.index.operations.snapshot import snapshot +from graphrag.index.storage.pipeline_storage import PipelineStorage +from graphrag.index.utils.hashing import gen_md5_hash + + +async def create_base_text_units( + documents: pd.DataFrame, + callbacks: VerbCallbacks, + storage: PipelineStorage, + chunk_by_columns: list[str], + chunk_strategy: dict[str, Any] | None = None, + snapshot_transient_enabled: bool = False, +) -> pd.DataFrame: + """All the steps to transform base text_units.""" + sort = documents.sort_values(by=["id"], ascending=[True]) + + sort["text_with_ids"] = list( + zip(*[sort[col] for col in ["id", "text"]], strict=True) + ) + + callbacks.progress(Progress(percent=0)) + + aggregated = _aggregate_df( + sort, + groupby=[*chunk_by_columns] if len(chunk_by_columns) > 0 else None, + aggregations=[ + { + "column": "text_with_ids", + "operation": "array_agg", + "to": "texts", + } + ], + ) + + callbacks.progress(Progress(percent=1)) + + chunked = chunk_text( + aggregated, + column="texts", + to="chunks", + callbacks=callbacks, + strategy=chunk_strategy, + ) + + chunked = cast(pd.DataFrame, chunked[[*chunk_by_columns, "chunks"]]) + chunked = chunked.explode("chunks") + chunked.rename( + columns={ + "chunks": "chunk", + }, + inplace=True, + ) + chunked["id"] = chunked.apply(lambda row: gen_md5_hash(row, ["chunk"]), axis=1) + chunked[["document_ids", "chunk", "n_tokens"]] = pd.DataFrame( + chunked["chunk"].tolist(), index=chunked.index + ) + # rename for downstream consumption + chunked.rename(columns={"chunk": "text"}, inplace=True) + + output = cast(pd.DataFrame, chunked[chunked["text"].notna()].reset_index(drop=True)) + + if snapshot_transient_enabled: + await snapshot( + output, + name="create_base_text_units", + storage=storage, + formats=["parquet"], + ) + + return output + + +# TODO: would be nice to inline this completely in the main method with pandas +def _aggregate_df( + input: pd.DataFrame, + aggregations: list[dict[str, Any]], + groupby: list[str] | None = None, +) -> pd.DataFrame: + """Aggregate method definition.""" + aggregations_to_apply = _load_aggregations(aggregations) + df_aggregations = { + agg.column: _get_pandas_agg_operation(agg) + for agg in aggregations_to_apply.values() + } + if groupby is None: + output_grouped = input.groupby(lambda _x: True) + else: + output_grouped = input.groupby(groupby, sort=False) + output = cast(pd.DataFrame, output_grouped.agg(df_aggregations)) + output.rename( + columns={agg.column: agg.to for agg in aggregations_to_apply.values()}, + inplace=True, + ) + output.columns = [agg.to for agg in aggregations_to_apply.values()] + return output.reset_index() + + +@dataclass +class Aggregation: + """Aggregation class method definition.""" + + column: str | None + operation: str + to: str + + # Only useful for the concat operation + separator: str | None = None + + +def _get_pandas_agg_operation(agg: Aggregation) -> Any: + if agg.operation == "string_concat": + return (agg.separator or ",").join + return aggregate_operation_mapping[FieldAggregateOperation(agg.operation)] + + +def _load_aggregations( + aggregations: list[dict[str, Any]], +) -> dict[str, Aggregation]: + return { + aggregation["column"]: Aggregation( + aggregation["column"], aggregation["operation"], aggregation["to"] + ) + for aggregation in aggregations + } diff --git a/graphrag/index/flows/create_final_communities.py b/graphrag/index/flows/create_final_communities.py new file mode 100644 index 0000000000..a433545ed3 --- /dev/null +++ b/graphrag/index/flows/create_final_communities.py @@ -0,0 +1,96 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform final communities.""" + +from datetime import datetime, timezone +from typing import cast +from uuid import uuid4 + +import pandas as pd +from datashaper import ( + VerbCallbacks, +) + +from graphrag.index.operations.unpack_graph import unpack_graph + + +def create_final_communities( + entity_graph: pd.DataFrame, + callbacks: VerbCallbacks, +) -> pd.DataFrame: + """All the steps to transform final communities.""" + graph_nodes = unpack_graph(entity_graph, callbacks, "clustered_graph", "nodes") + graph_edges = unpack_graph(entity_graph, callbacks, "clustered_graph", "edges") + + # Merge graph_nodes with graph_edges for both source and target matches + source_clusters = graph_nodes.merge( + graph_edges, left_on="label", right_on="source", how="inner" + ) + + target_clusters = graph_nodes.merge( + graph_edges, left_on="label", right_on="target", how="inner" + ) + + # Concatenate the source and target clusters + clusters = pd.concat([source_clusters, target_clusters], ignore_index=True) + + # Keep only rows where level_x == level_y + combined_clusters = clusters[ + clusters["level_x"] == clusters["level_y"] + ].reset_index(drop=True) + + cluster_relationships = ( + combined_clusters.groupby(["cluster", "level_x"], sort=False) + .agg( + relationship_ids=("id_y", "unique"), + text_unit_ids=("source_id_x", "unique"), + entity_ids=("id_x", "unique"), + ) + .reset_index() + ) + + all_clusters = ( + graph_nodes.groupby(["cluster", "level"], sort=False) + .agg(community=("cluster", "first")) + .reset_index() + ) + + joined = all_clusters.merge( + cluster_relationships, + left_on="community", + right_on="cluster", + how="inner", + ) + + filtered = cast( + pd.DataFrame, + joined[joined["level"] == joined["level_x"]].reset_index(drop=True), + ) + + filtered["id"] = filtered["community"].apply(lambda _x: str(uuid4())) + filtered["community"] = filtered["community"].astype(int) + filtered["human_readable_id"] = filtered["community"] + filtered["title"] = "Community " + filtered["community"].astype(str) + + # Add period timestamp to the community reports + filtered["period"] = datetime.now(timezone.utc).date().isoformat() + + # Add size of the community + filtered["size"] = filtered.loc[:, "entity_ids"].apply(lambda x: len(x)) + + return filtered.loc[ + :, + [ + "id", + "human_readable_id", + "community", + "level", + "title", + "entity_ids", + "relationship_ids", + "text_unit_ids", + "period", + "size", + ], + ] diff --git a/graphrag/index/flows/create_final_community_reports.py b/graphrag/index/flows/create_final_community_reports.py new file mode 100644 index 0000000000..754d66d6e5 --- /dev/null +++ b/graphrag/index/flows/create_final_community_reports.py @@ -0,0 +1,159 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform community reports.""" + +from uuid import uuid4 + +import pandas as pd +from datashaper import ( + AsyncType, + VerbCallbacks, +) + +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.graph.extractors.community_reports.schemas import ( + CLAIM_DESCRIPTION, + CLAIM_DETAILS, + CLAIM_ID, + CLAIM_STATUS, + CLAIM_SUBJECT, + CLAIM_TYPE, + EDGE_DEGREE, + EDGE_DESCRIPTION, + EDGE_DETAILS, + EDGE_ID, + EDGE_SOURCE, + EDGE_TARGET, + NODE_DEGREE, + NODE_DESCRIPTION, + NODE_DETAILS, + NODE_ID, + NODE_NAME, +) +from graphrag.index.operations.summarize_communities import ( + prepare_community_reports, + restore_community_hierarchy, + summarize_communities, +) + + +async def create_final_community_reports( + nodes_input: pd.DataFrame, + edges_input: pd.DataFrame, + entities: pd.DataFrame, + communities: pd.DataFrame, + claims_input: pd.DataFrame | None, + callbacks: VerbCallbacks, + cache: PipelineCache, + summarization_strategy: dict, + async_mode: AsyncType = AsyncType.AsyncIO, + num_threads: int = 4, +) -> pd.DataFrame: + """All the steps to transform community reports.""" + entities_df = entities.loc[:, ["id", "description"]] + nodes_df = nodes_input.merge(entities_df, on="id") + nodes = _prep_nodes(nodes_df) + edges = _prep_edges(edges_input) + + claims = None + if claims_input is not None: + claims = _prep_claims(claims_input) + + community_hierarchy = restore_community_hierarchy(nodes) + + local_contexts = prepare_community_reports( + nodes, + edges, + claims, + callbacks, + summarization_strategy.get("max_input_length", 16_000), + ) + + community_reports = await summarize_communities( + local_contexts, + nodes, + community_hierarchy, + callbacks, + cache, + summarization_strategy, + async_mode=async_mode, + num_threads=num_threads, + ) + + community_reports["community"] = community_reports["community"].astype(int) + community_reports["human_readable_id"] = community_reports["community"] + community_reports["id"] = community_reports["community"].apply( + lambda _x: str(uuid4()) + ) + + # Merge with communities to add size and period + merged = community_reports.merge( + communities.loc[:, ["community", "size", "period"]], + on="community", + how="left", + copy=False, + ) + return merged.loc[ + :, + [ + "id", + "human_readable_id", + "community", + "level", + "title", + "summary", + "full_content", + "rank", + "rank_explanation", + "findings", + "full_content_json", + "period", + "size", + ], + ] + + +def _prep_nodes(input: pd.DataFrame) -> pd.DataFrame: + input = input.fillna(value={NODE_DESCRIPTION: "No Description"}) + # merge values of four columns into a map column + input[NODE_DETAILS] = input.apply( + lambda x: { + NODE_ID: x[NODE_ID], + NODE_NAME: x[NODE_NAME], + NODE_DESCRIPTION: x[NODE_DESCRIPTION], + NODE_DEGREE: x[NODE_DEGREE], + }, + axis=1, + ) + return input + + +def _prep_edges(input: pd.DataFrame) -> pd.DataFrame: + input = input.fillna(value={NODE_DESCRIPTION: "No Description"}) + input[EDGE_DETAILS] = input.apply( + lambda x: { + EDGE_ID: x[EDGE_ID], + EDGE_SOURCE: x[EDGE_SOURCE], + EDGE_TARGET: x[EDGE_TARGET], + EDGE_DESCRIPTION: x[EDGE_DESCRIPTION], + EDGE_DEGREE: x[EDGE_DEGREE], + }, + axis=1, + ) + return input + + +def _prep_claims(input: pd.DataFrame) -> pd.DataFrame: + input = input.fillna(value={NODE_DESCRIPTION: "No Description"}) + input[CLAIM_DETAILS] = input.apply( + lambda x: { + CLAIM_ID: x[CLAIM_ID], + CLAIM_SUBJECT: x[CLAIM_SUBJECT], + CLAIM_TYPE: x[CLAIM_TYPE], + CLAIM_STATUS: x[CLAIM_STATUS], + CLAIM_DESCRIPTION: x[CLAIM_DESCRIPTION], + }, + axis=1, + ) + return input diff --git a/graphrag/index/flows/create_final_covariates.py b/graphrag/index/flows/create_final_covariates.py new file mode 100644 index 0000000000..ad25445bf7 --- /dev/null +++ b/graphrag/index/flows/create_final_covariates.py @@ -0,0 +1,66 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to extract and format covariates.""" + +from typing import Any +from uuid import uuid4 + +import pandas as pd +from datashaper import ( + AsyncType, + VerbCallbacks, +) + +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.operations.extract_covariates import ( + extract_covariates, +) + + +async def create_final_covariates( + text_units: pd.DataFrame, + callbacks: VerbCallbacks, + cache: PipelineCache, + covariate_type: str, + extraction_strategy: dict[str, Any] | None, + async_mode: AsyncType = AsyncType.AsyncIO, + entity_types: list[str] | None = None, + num_threads: int = 4, +) -> pd.DataFrame: + """All the steps to extract and format covariates.""" + # reassign the id because it will be overwritten in the output by a covariate one + # this also results in text_unit_id being copied to the output covariate table + text_units["text_unit_id"] = text_units["id"] + covariates = await extract_covariates( + text_units, + callbacks, + cache, + "text", + covariate_type, + extraction_strategy, + async_mode, + entity_types, + num_threads, + ) + text_units.drop(columns=["text_unit_id"], inplace=True) # don't pollute the global + covariates["id"] = covariates["covariate_type"].apply(lambda _x: str(uuid4())) + covariates["human_readable_id"] = covariates.index + 1 + + return covariates.loc[ + :, + [ + "id", + "human_readable_id", + "covariate_type", + "type", + "description", + "subject_id", + "object_id", + "status", + "start_date", + "end_date", + "source_text", + "text_unit_id", + ], + ] diff --git a/graphrag/index/flows/create_final_documents.py b/graphrag/index/flows/create_final_documents.py new file mode 100644 index 0000000000..7df1d44f90 --- /dev/null +++ b/graphrag/index/flows/create_final_documents.py @@ -0,0 +1,76 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform final documents.""" + +import pandas as pd + + +def create_final_documents( + documents: pd.DataFrame, + text_units: pd.DataFrame, + document_attribute_columns: list[str] | None = None, +) -> pd.DataFrame: + """All the steps to transform final documents.""" + exploded = ( + text_units.explode("document_ids") + .loc[:, ["id", "document_ids", "text"]] + .rename( + columns={ + "document_ids": "chunk_doc_id", + "id": "chunk_id", + "text": "chunk_text", + } + ) + ) + + joined = exploded.merge( + documents, + left_on="chunk_doc_id", + right_on="id", + how="inner", + copy=False, + ) + + docs_with_text_units = joined.groupby("id", sort=False).agg( + text_unit_ids=("chunk_id", list) + ) + + rejoined = docs_with_text_units.merge( + documents, + on="id", + how="right", + copy=False, + ).reset_index(drop=True) + + rejoined["id"] = rejoined["id"].astype(str) + rejoined["human_readable_id"] = rejoined.index + 1 + + # Convert attribute columns to strings and collapse them into a JSON object + if document_attribute_columns: + # Convert all specified columns to string at once + rejoined[document_attribute_columns] = rejoined[ + document_attribute_columns + ].astype(str) + + # Collapse the document_attribute_columns into a single JSON object column + rejoined["attributes"] = rejoined[document_attribute_columns].to_dict( + orient="records" + ) + + # Drop the original attribute columns after collapsing them + rejoined.drop(columns=document_attribute_columns, inplace=True) + + # set the final column order, but adjust for attributes + core_columns = [ + "id", + "human_readable_id", + "title", + "text", + "text_unit_ids", + ] + final_columns = [column for column in core_columns if column in rejoined.columns] + if document_attribute_columns: + final_columns.append("attributes") + + return rejoined.loc[:, final_columns] diff --git a/graphrag/index/flows/create_final_entities.py b/graphrag/index/flows/create_final_entities.py new file mode 100644 index 0000000000..48ac16e70a --- /dev/null +++ b/graphrag/index/flows/create_final_entities.py @@ -0,0 +1,51 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform final entities.""" + +import pandas as pd +from datashaper import ( + VerbCallbacks, +) + +from graphrag.index.operations.unpack_graph import unpack_graph + + +def create_final_entities( + entity_graph: pd.DataFrame, + callbacks: VerbCallbacks, +) -> pd.DataFrame: + """All the steps to transform final entities.""" + # Process nodes + nodes = ( + unpack_graph(entity_graph, callbacks, "clustered_graph", "nodes") + .rename(columns={"label": "title"}) + .loc[ + :, + [ + "id", + "title", + "type", + "description", + "human_readable_id", + "source_id", + ], + ] + .drop_duplicates(subset="id") + ) + + nodes = nodes.loc[nodes["title"].notna()] + + nodes["text_unit_ids"] = nodes["source_id"].str.split(",") + + return nodes.loc[ + :, + [ + "id", + "human_readable_id", + "title", + "type", + "description", + "text_unit_ids", + ], + ] diff --git a/graphrag/index/flows/create_final_nodes.py b/graphrag/index/flows/create_final_nodes.py new file mode 100644 index 0000000000..c966e673ed --- /dev/null +++ b/graphrag/index/flows/create_final_nodes.py @@ -0,0 +1,89 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform final nodes.""" + +from typing import Any, cast + +import pandas as pd +from datashaper import ( + VerbCallbacks, +) + +from graphrag.index.operations.layout_graph import layout_graph +from graphrag.index.operations.snapshot import snapshot +from graphrag.index.operations.unpack_graph import unpack_graph +from graphrag.index.storage.pipeline_storage import PipelineStorage + + +async def create_final_nodes( + entity_graph: pd.DataFrame, + callbacks: VerbCallbacks, + storage: PipelineStorage, + layout_strategy: dict[str, Any], + level_for_node_positions: int, + snapshot_top_level_nodes_enabled: bool = False, +) -> pd.DataFrame: + """All the steps to transform final nodes.""" + laid_out_entity_graph = cast( + pd.DataFrame, + layout_graph( + entity_graph, + callbacks, + layout_strategy, + embeddings_column="embeddings", + graph_column="clustered_graph", + to="node_positions", + graph_to="positioned_graph", + ), + ) + + nodes = cast( + pd.DataFrame, + unpack_graph( + laid_out_entity_graph, callbacks, column="positioned_graph", type="nodes" + ), + ) + + nodes_without_positions = nodes.drop(columns=["x", "y"]) + + nodes = nodes[nodes["level"] == level_for_node_positions].reset_index(drop=True) + nodes = cast(pd.DataFrame, nodes[["id", "x", "y"]]) + + if snapshot_top_level_nodes_enabled: + await snapshot( + nodes, + name="top_level_nodes", + storage=storage, + formats=["json"], + ) + + joined = nodes_without_positions.merge( + nodes, + on="id", + how="inner", + ) + joined.rename(columns={"label": "title", "cluster": "community"}, inplace=True) + joined["community"] = joined["community"].fillna(-1).astype(int) + + # drop anything that isn't graph-related or needing to be preserved + # the rest can be looked up on the canonical entities table + joined.drop( + columns=["source_id", "type", "description", "size", "graph_embedding"], + inplace=True, + ) + + deduped = joined.drop_duplicates(subset=["title", "community"]) + return deduped.loc[ + :, + [ + "id", + "human_readable_id", + "title", + "community", + "level", + "degree", + "x", + "y", + ], + ] diff --git a/graphrag/index/flows/create_final_relationships.py b/graphrag/index/flows/create_final_relationships.py new file mode 100644 index 0000000000..f23215969a --- /dev/null +++ b/graphrag/index/flows/create_final_relationships.py @@ -0,0 +1,63 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform final relationships.""" + +from typing import cast + +import pandas as pd +from datashaper import ( + VerbCallbacks, +) + +from graphrag.index.operations.compute_edge_combined_degree import ( + compute_edge_combined_degree, +) +from graphrag.index.operations.unpack_graph import unpack_graph + + +def create_final_relationships( + entity_graph: pd.DataFrame, + nodes: pd.DataFrame, + callbacks: VerbCallbacks, +) -> pd.DataFrame: + """All the steps to transform final relationships.""" + graph_edges = unpack_graph(entity_graph, callbacks, "clustered_graph", "edges") + + graph_edges.rename(columns={"source_id": "text_unit_ids"}, inplace=True) + + filtered = cast( + pd.DataFrame, graph_edges[graph_edges["level"] == 0].reset_index(drop=True) + ) + + pruned_edges = filtered.drop(columns=["level"]) + + filtered_nodes = nodes[nodes["level"] == 0].reset_index(drop=True) + filtered_nodes = cast(pd.DataFrame, filtered_nodes[["title", "degree"]]) + + pruned_edges["combined_degree"] = compute_edge_combined_degree( + pruned_edges, + filtered_nodes, + node_name_column="title", + node_degree_column="degree", + edge_source_column="source", + edge_target_column="target", + ) + + pruned_edges["text_unit_ids"] = pruned_edges["text_unit_ids"].str.split(",") + + # TODO: Find duplication source + deduped = pruned_edges.drop_duplicates(subset=["source", "target"]) + return deduped.loc[ + :, + [ + "id", + "human_readable_id", + "source", + "target", + "description", + "weight", + "combined_degree", + "text_unit_ids", + ], + ] diff --git a/graphrag/index/flows/create_final_text_units.py b/graphrag/index/flows/create_final_text_units.py new file mode 100644 index 0000000000..adb2fd4beb --- /dev/null +++ b/graphrag/index/flows/create_final_text_units.py @@ -0,0 +1,88 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform the text units.""" + +import pandas as pd + + +def create_final_text_units( + text_units: pd.DataFrame, + final_entities: pd.DataFrame, + final_relationships: pd.DataFrame, + final_covariates: pd.DataFrame | None, +) -> pd.DataFrame: + """All the steps to transform the text units.""" + selected = text_units.loc[:, ["id", "text", "document_ids", "n_tokens"]] + selected["human_readable_id"] = selected.index + 1 + + entity_join = _entities(final_entities) + relationship_join = _relationships(final_relationships) + + entity_joined = _join(selected, entity_join) + relationship_joined = _join(entity_joined, relationship_join) + final_joined = relationship_joined + + if final_covariates is not None: + covariate_join = _covariates(final_covariates) + final_joined = _join(relationship_joined, covariate_join) + + aggregated = final_joined.groupby("id", sort=False).agg("first").reset_index() + + return aggregated.loc[ + :, + [ + "id", + "human_readable_id", + "text", + "n_tokens", + "document_ids", + "entity_ids", + "relationship_ids", + *([] if final_covariates is None else ["covariate_ids"]), + ], + ] + + +def _entities(df: pd.DataFrame) -> pd.DataFrame: + selected = df.loc[:, ["id", "text_unit_ids"]] + unrolled = selected.explode(["text_unit_ids"]).reset_index(drop=True) + + return ( + unrolled.groupby("text_unit_ids", sort=False) + .agg(entity_ids=("id", "unique")) + .reset_index() + .rename(columns={"text_unit_ids": "id"}) + ) + + +def _relationships(df: pd.DataFrame) -> pd.DataFrame: + selected = df.loc[:, ["id", "text_unit_ids"]] + unrolled = selected.explode(["text_unit_ids"]).reset_index(drop=True) + + return ( + unrolled.groupby("text_unit_ids", sort=False) + .agg(relationship_ids=("id", "unique")) + .reset_index() + .rename(columns={"text_unit_ids": "id"}) + ) + + +def _covariates(df: pd.DataFrame) -> pd.DataFrame: + selected = df.loc[:, ["id", "text_unit_id"]] + + return ( + selected.groupby("text_unit_id", sort=False) + .agg(covariate_ids=("id", "unique")) + .reset_index() + .rename(columns={"text_unit_id": "id"}) + ) + + +def _join(left, right): + return left.merge( + right, + on="id", + how="left", + suffixes=["_1", "_2"], + ) diff --git a/graphrag/index/flows/generate_text_embeddings.py b/graphrag/index/flows/generate_text_embeddings.py new file mode 100644 index 0000000000..23fee842df --- /dev/null +++ b/graphrag/index/flows/generate_text_embeddings.py @@ -0,0 +1,140 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform the text units.""" + +import logging + +import pandas as pd +from datashaper import ( + VerbCallbacks, +) + +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.config.embeddings import ( + community_full_content_embedding, + community_summary_embedding, + community_title_embedding, + document_text_embedding, + entity_description_embedding, + entity_title_embedding, + relationship_description_embedding, + text_unit_text_embedding, +) +from graphrag.index.operations.embed_text import embed_text +from graphrag.index.operations.snapshot import snapshot +from graphrag.index.storage.pipeline_storage import PipelineStorage + +log = logging.getLogger(__name__) + + +async def generate_text_embeddings( + final_documents: pd.DataFrame | None, + final_relationships: pd.DataFrame | None, + final_text_units: pd.DataFrame | None, + final_entities: pd.DataFrame | None, + final_community_reports: pd.DataFrame | None, + callbacks: VerbCallbacks, + cache: PipelineCache, + storage: PipelineStorage, + text_embed_config: dict, + embedded_fields: set[str], + snapshot_embeddings_enabled: bool = False, +) -> None: + """All the steps to generate all embeddings.""" + embedding_param_map = { + document_text_embedding: { + "data": final_documents.loc[:, ["id", "text"]] + if final_documents is not None + else None, + "embed_column": "text", + }, + relationship_description_embedding: { + "data": final_relationships.loc[:, ["id", "description"]] + if final_relationships is not None + else None, + "embed_column": "description", + }, + text_unit_text_embedding: { + "data": final_text_units.loc[:, ["id", "text"]] + if final_text_units is not None + else None, + "embed_column": "text", + }, + entity_title_embedding: { + "data": final_entities.loc[:, ["id", "title"]] + if final_entities is not None + else None, + "embed_column": "title", + }, + entity_description_embedding: { + "data": final_entities.loc[:, ["id", "title", "description"]].assign( + title_description=lambda df: df["title"] + ":" + df["description"] + ) + if final_entities is not None + else None, + "embed_column": "title_description", + }, + community_title_embedding: { + "data": final_community_reports.loc[:, ["id", "title"]] + if final_community_reports is not None + else None, + "embed_column": "title", + }, + community_summary_embedding: { + "data": final_community_reports.loc[:, ["id", "summary"]] + if final_community_reports is not None + else None, + "embed_column": "summary", + }, + community_full_content_embedding: { + "data": final_community_reports.loc[:, ["id", "full_content"]] + if final_community_reports is not None + else None, + "embed_column": "full_content", + }, + } + + log.info("Creating embeddings") + for field in embedded_fields: + await _run_and_snapshot_embeddings( + name=field, + callbacks=callbacks, + cache=cache, + storage=storage, + text_embed_config=text_embed_config, + snapshot_embeddings_enabled=snapshot_embeddings_enabled, + **embedding_param_map[field], + ) + + +async def _run_and_snapshot_embeddings( + name: str, + data: pd.DataFrame, + embed_column: str, + callbacks: VerbCallbacks, + cache: PipelineCache, + storage: PipelineStorage, + text_embed_config: dict, + snapshot_embeddings_enabled: bool, +) -> None: + """All the steps to generate single embedding.""" + if text_embed_config: + data["embedding"] = await embed_text( + data, + callbacks, + cache, + embed_column=embed_column, + embedding_name=name, + strategy=text_embed_config["strategy"], + ) + + data = data.loc[:, ["id", "embedding"]] + + if snapshot_embeddings_enabled is True: + await snapshot( + data, + name=f"embeddings.{name}", + storage=storage, + formats=["parquet"], + ) diff --git a/graphrag/index/graph/embedding/__init__.py b/graphrag/index/graph/embedding/__init__.py index 0ea2d085f1..ff075875a5 100644 --- a/graphrag/index/graph/embedding/__init__.py +++ b/graphrag/index/graph/embedding/__init__.py @@ -3,6 +3,6 @@ """The Indexing Engine graph embedding package root.""" -from .embedding import NodeEmbeddings, embed_nod2vec +from graphrag.index.graph.embedding.embedding import NodeEmbeddings, embed_nod2vec __all__ = ["NodeEmbeddings", "embed_nod2vec"] diff --git a/graphrag/index/graph/embedding/embedding.py b/graphrag/index/graph/embedding/embedding.py index 267a190f91..ff6f86e72a 100644 --- a/graphrag/index/graph/embedding/embedding.py +++ b/graphrag/index/graph/embedding/embedding.py @@ -5,7 +5,6 @@ from dataclasses import dataclass -import graspologic as gc import networkx as nx import numpy as np @@ -28,6 +27,9 @@ def embed_nod2vec( random_seed: int = 86, ) -> NodeEmbeddings: """Generate node embeddings using Node2Vec.""" + # NOTE: This import is done here to reduce the initial import time of the graphrag package + import graspologic as gc + # generate embedding lcc_tensors = gc.embed.node2vec_embed( # type: ignore graph=graph, diff --git a/graphrag/index/graph/extractors/__init__.py b/graphrag/index/graph/extractors/__init__.py index 9168d5e207..42ad16b89c 100644 --- a/graphrag/index/graph/extractors/__init__.py +++ b/graphrag/index/graph/extractors/__init__.py @@ -3,16 +3,13 @@ """The Indexing Engine graph extractors package root.""" -from .claims import CLAIM_EXTRACTION_PROMPT, ClaimExtractor -from .community_reports import ( - COMMUNITY_REPORT_PROMPT, +from graphrag.index.graph.extractors.claims import ClaimExtractor +from graphrag.index.graph.extractors.community_reports import ( CommunityReportsExtractor, ) -from .graph import GraphExtractionResult, GraphExtractor +from graphrag.index.graph.extractors.graph import GraphExtractionResult, GraphExtractor __all__ = [ - "CLAIM_EXTRACTION_PROMPT", - "COMMUNITY_REPORT_PROMPT", "ClaimExtractor", "CommunityReportsExtractor", "GraphExtractionResult", diff --git a/graphrag/index/graph/extractors/claims/__init__.py b/graphrag/index/graph/extractors/claims/__init__.py index 3977c8ff83..897cdd1125 100644 --- a/graphrag/index/graph/extractors/claims/__init__.py +++ b/graphrag/index/graph/extractors/claims/__init__.py @@ -3,7 +3,6 @@ """The Indexing Engine graph extractors claims package root.""" -from .claim_extractor import ClaimExtractor -from .prompts import CLAIM_EXTRACTION_PROMPT +from graphrag.index.graph.extractors.claims.claim_extractor import ClaimExtractor -__all__ = ["CLAIM_EXTRACTION_PROMPT", "ClaimExtractor"] +__all__ = ["ClaimExtractor"] diff --git a/graphrag/index/graph/extractors/claims/claim_extractor.py b/graphrag/index/graph/extractors/claims/claim_extractor.py index e26d206949..2842ad7e1a 100644 --- a/graphrag/index/graph/extractors/claims/claim_extractor.py +++ b/graphrag/index/graph/extractors/claims/claim_extractor.py @@ -13,8 +13,7 @@ import graphrag.config.defaults as defs from graphrag.index.typing import ErrorHandlerFn from graphrag.llm import CompletionLLM - -from .prompts import ( +from graphrag.prompts.index.claim_extraction import ( CLAIM_EXTRACTION_PROMPT, CONTINUE_PROMPT, LOOP_PROMPT, @@ -152,7 +151,6 @@ def _clean_claim( subject = resolved_entities.get(subject, subject) claim["object_id"] = obj claim["subject_id"] = subject - claim["doc_id"] = document_id return claim async def _process_document( @@ -177,12 +175,12 @@ async def _process_document( # Repeat to ensure we maximize entity count for i in range(self._max_gleanings): - glean_response = await self._llm( + response = await self._llm( CONTINUE_PROMPT, name=f"extract-continuation-{i}", - history=response.history or [], + history=response.history, ) - extension = glean_response.output or "" + extension = response.output or "" claims += record_delimiter + extension.strip().removesuffix( completion_delimiter ) @@ -191,19 +189,16 @@ async def _process_document( if i >= self._max_gleanings - 1: break - continue_response = await self._llm( + response = await self._llm( LOOP_PROMPT, name=f"extract-loopcheck-{i}", - history=glean_response.history or [], + history=response.history, model_parameters=self._loop_args, ) - if continue_response.output != "YES": + if response.output != "YES": break - result = self._parse_claim_tuples(results, prompt_args) - for r in result: - r["doc_id"] = f"{doc_index}" - return result + return self._parse_claim_tuples(results, prompt_args) def _parse_claim_tuples( self, claims: str, prompt_variables: dict @@ -243,6 +238,5 @@ def pull_field(index: int, fields: list[str]) -> str | None: "end_date": pull_field(5, claim_fields), "description": pull_field(6, claim_fields), "source_text": pull_field(7, claim_fields), - "doc_id": pull_field(8, claim_fields), }) return result diff --git a/graphrag/index/graph/extractors/community_reports/__init__.py b/graphrag/index/graph/extractors/community_reports/__init__.py index 599f56d60f..bac91674c2 100644 --- a/graphrag/index/graph/extractors/community_reports/__init__.py +++ b/graphrag/index/graph/extractors/community_reports/__init__.py @@ -4,13 +4,17 @@ """The Indexing Engine community reports package root.""" import graphrag.index.graph.extractors.community_reports.schemas as schemas - -from .build_mixed_context import build_mixed_context -from .community_reports_extractor import CommunityReportsExtractor -from .prep_community_report_context import prep_community_report_context -from .prompts import COMMUNITY_REPORT_PROMPT -from .sort_context import sort_context -from .utils import ( +from graphrag.index.graph.extractors.community_reports.build_mixed_context import ( + build_mixed_context, +) +from graphrag.index.graph.extractors.community_reports.community_reports_extractor import ( + CommunityReportsExtractor, +) +from graphrag.index.graph.extractors.community_reports.prep_community_report_context import ( + prep_community_report_context, +) +from graphrag.index.graph.extractors.community_reports.sort_context import sort_context +from graphrag.index.graph.extractors.community_reports.utils import ( filter_claims_to_nodes, filter_edges_to_nodes, filter_nodes_to_level, @@ -20,7 +24,6 @@ ) __all__ = [ - "COMMUNITY_REPORT_PROMPT", "CommunityReportsExtractor", "build_mixed_context", "filter_claims_to_nodes", diff --git a/graphrag/index/graph/extractors/community_reports/build_mixed_context.py b/graphrag/index/graph/extractors/community_reports/build_mixed_context.py index ad9e2a8447..ca10ca948d 100644 --- a/graphrag/index/graph/extractors/community_reports/build_mixed_context.py +++ b/graphrag/index/graph/extractors/community_reports/build_mixed_context.py @@ -5,10 +5,9 @@ import pandas as pd import graphrag.index.graph.extractors.community_reports.schemas as schemas +from graphrag.index.graph.extractors.community_reports.sort_context import sort_context from graphrag.query.llm.text_utils import num_tokens -from .sort_context import sort_context - def build_mixed_context(context: list[dict], max_tokens: int) -> str: """ diff --git a/graphrag/index/graph/extractors/community_reports/community_reports_extractor.py b/graphrag/index/graph/extractors/community_reports/community_reports_extractor.py index 309336fee7..a78064bd9b 100644 --- a/graphrag/index/graph/extractors/community_reports/community_reports_extractor.py +++ b/graphrag/index/graph/extractors/community_reports/community_reports_extractor.py @@ -9,10 +9,9 @@ from typing import Any from graphrag.index.typing import ErrorHandlerFn -from graphrag.index.utils import dict_has_keys_with_types +from graphrag.index.utils.dicts import dict_has_keys_with_types from graphrag.llm import CompletionLLM - -from .prompts import COMMUNITY_REPORT_PROMPT +from graphrag.prompts.index.community_report import COMMUNITY_REPORT_PROMPT log = logging.getLogger(__name__) @@ -69,6 +68,7 @@ async def __call__(self, inputs: dict[str, Any]): ("rating", float), ("rating_explanation", str), ], + inplace=True, ), model_parameters={"max_tokens": self._max_report_length}, ) diff --git a/graphrag/index/graph/extractors/community_reports/prep_community_report_context.py b/graphrag/index/graph/extractors/community_reports/prep_community_report_context.py index 2ec4222024..a4df7d533a 100644 --- a/graphrag/index/graph/extractors/community_reports/prep_community_report_context.py +++ b/graphrag/index/graph/extractors/community_reports/prep_community_report_context.py @@ -9,6 +9,11 @@ import pandas as pd import graphrag.index.graph.extractors.community_reports.schemas as schemas +from graphrag.index.graph.extractors.community_reports.build_mixed_context import ( + build_mixed_context, +) +from graphrag.index.graph.extractors.community_reports.sort_context import sort_context +from graphrag.index.graph.extractors.community_reports.utils import set_context_size from graphrag.index.utils.dataframes import ( antijoin, drop_columns, @@ -19,10 +24,6 @@ where_column_equals, ) -from .build_mixed_context import build_mixed_context -from .sort_context import sort_context -from .utils import set_context_size - log = logging.getLogger(__name__) @@ -58,7 +59,7 @@ def prep_community_report_context( invalid_context_df, max_tokens ) set_context_size(invalid_context_df) - invalid_context_df[schemas.CONTEXT_EXCEED_FLAG] = 0 + invalid_context_df.loc[:, schemas.CONTEXT_EXCEED_FLAG] = 0 return union(valid_context_df, invalid_context_df) level_context_df = _antijoin_reports(level_context_df, report_df) diff --git a/graphrag/index/graph/extractors/community_reports/schemas.py b/graphrag/index/graph/extractors/community_reports/schemas.py index 8e89e0273c..9c8e29b66c 100644 --- a/graphrag/index/graph/extractors/community_reports/schemas.py +++ b/graphrag/index/graph/extractors/community_reports/schemas.py @@ -16,7 +16,7 @@ EDGE_SOURCE = "source" EDGE_TARGET = "target" EDGE_DESCRIPTION = "description" -EDGE_DEGREE = "rank" +EDGE_DEGREE = "combined_degree" EDGE_DETAILS = "edge_details" EDGE_WEIGHT = "weight" @@ -29,7 +29,7 @@ CLAIM_DETAILS = "claim_details" # COMMUNITY HIERARCHY TABLE SCHEMA -SUB_COMMUNITY = "sub_communitty" +SUB_COMMUNITY = "sub_community" SUB_COMMUNITY_SIZE = "sub_community_size" COMMUNITY_LEVEL = "level" @@ -41,7 +41,7 @@ # COMMUNITY REPORT TABLE SCHEMA REPORT_ID = "id" -COMMUNITY_ID = "id" +COMMUNITY_ID = "community" COMMUNITY_LEVEL = "level" TITLE = "title" SUMMARY = "summary" diff --git a/graphrag/index/graph/extractors/community_reports/sort_context.py b/graphrag/index/graph/extractors/community_reports/sort_context.py index 811cb7e95c..c62710e1c8 100644 --- a/graphrag/index/graph/extractors/community_reports/sort_context.py +++ b/graphrag/index/graph/extractors/community_reports/sort_context.py @@ -144,7 +144,7 @@ def _get_context_string( new_context_string = _get_context_string( sorted_nodes, sorted_edges, sorted_claims, sub_community_reports ) - if num_tokens(context_string) > max_tokens: + if num_tokens(new_context_string) > max_tokens: break context_string = new_context_string diff --git a/graphrag/index/graph/extractors/community_reports/utils.py b/graphrag/index/graph/extractors/community_reports/utils.py index b5fc9af9b8..32d3196f6c 100644 --- a/graphrag/index/graph/extractors/community_reports/utils.py +++ b/graphrag/index/graph/extractors/community_reports/utils.py @@ -13,12 +13,14 @@ def set_context_size(df: pd.DataFrame) -> None: """Measure the number of tokens in the context.""" - df[schemas.CONTEXT_SIZE] = df[schemas.CONTEXT_STRING].apply(lambda x: num_tokens(x)) + df.loc[:, schemas.CONTEXT_SIZE] = df.loc[:, schemas.CONTEXT_STRING].apply( + lambda x: num_tokens(x) + ) def set_context_exceeds_flag(df: pd.DataFrame, max_tokens: int) -> None: """Set a flag to indicate if the context exceeds the limit.""" - df[schemas.CONTEXT_EXCEED_FLAG] = df[schemas.CONTEXT_SIZE].apply( + df.loc[:, schemas.CONTEXT_EXCEED_FLAG] = df.loc[:, schemas.CONTEXT_SIZE].apply( lambda x: x > max_tokens ) diff --git a/graphrag/index/graph/extractors/graph/__init__.py b/graphrag/index/graph/extractors/graph/__init__.py index 94e03ab9f7..c3f14bfa2f 100644 --- a/graphrag/index/graph/extractors/graph/__init__.py +++ b/graphrag/index/graph/extractors/graph/__init__.py @@ -3,16 +3,14 @@ """The Indexing Engine unipartite graph package root.""" -from .graph_extractor import ( +from graphrag.index.graph.extractors.graph.graph_extractor import ( DEFAULT_ENTITY_TYPES, GraphExtractionResult, GraphExtractor, ) -from .prompts import GRAPH_EXTRACTION_PROMPT __all__ = [ "DEFAULT_ENTITY_TYPES", - "GRAPH_EXTRACTION_PROMPT", "GraphExtractionResult", "GraphExtractor", ] diff --git a/graphrag/index/graph/extractors/graph/graph_extractor.py b/graphrag/index/graph/extractors/graph/graph_extractor.py index 1daa2e9f5c..7374e77c24 100644 --- a/graphrag/index/graph/extractors/graph/graph_extractor.py +++ b/graphrag/index/graph/extractors/graph/graph_extractor.py @@ -4,7 +4,6 @@ """A module containing 'GraphExtractionResult' and 'GraphExtractor' models.""" import logging -import numbers import re import traceback from collections.abc import Mapping @@ -16,10 +15,13 @@ import graphrag.config.defaults as defs from graphrag.index.typing import ErrorHandlerFn -from graphrag.index.utils import clean_str +from graphrag.index.utils.string import clean_str from graphrag.llm import CompletionLLM - -from .prompts import CONTINUE_PROMPT, GRAPH_EXTRACTION_PROMPT, LOOP_PROMPT +from graphrag.prompts.index.entity_extraction import ( + CONTINUE_PROMPT, + GRAPH_EXTRACTION_PROMPT, + LOOP_PROMPT, +) DEFAULT_TUPLE_DELIMITER = "<|>" DEFAULT_RECORD_DELIMITER = "##" @@ -159,24 +161,24 @@ async def _process_document( # Repeat to ensure we maximize entity count for i in range(self._max_gleanings): - glean_response = await self._llm( + response = await self._llm( CONTINUE_PROMPT, name=f"extract-continuation-{i}", - history=response.history or [], + history=response.history, ) - results += glean_response.output or "" + results += response.output or "" # if this is the final glean, don't bother updating the continuation flag if i >= self._max_gleanings - 1: break - continuation = await self._llm( + response = await self._llm( LOOP_PROMPT, name=f"extract-loopcheck-{i}", - history=glean_response.history or [], + history=response.history, model_parameters=self._loop_args, ) - if continuation.output != "YES": + if response.output != "YES": break return results @@ -228,8 +230,8 @@ async def _process_results( str(source_doc_id), }) ) - node["entity_type"] = ( - entity_type if entity_type != "" else node["entity_type"] + node["type"] = ( + entity_type if entity_type != "" else node["type"] ) else: graph.add_node( @@ -248,11 +250,11 @@ async def _process_results( target = clean_str(record_attributes[2].upper()) edge_description = clean_str(record_attributes[3]) edge_source_id = clean_str(str(source_doc_id)) - weight = ( - float(record_attributes[-1]) - if isinstance(record_attributes[-1], numbers.Number) - else 1.0 - ) + try: + weight = float(record_attributes[-1]) + except ValueError: + weight = 1.0 + if source not in graph.nodes(): graph.add_node( source, diff --git a/graphrag/index/graph/extractors/graph/prompts.py b/graphrag/index/graph/extractors/graph/prompts.py deleted file mode 100644 index 0cc53bec4d..0000000000 --- a/graphrag/index/graph/extractors/graph/prompts.py +++ /dev/null @@ -1,107 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A file containing prompts definition.""" - -GRAPH_EXTRACTION_PROMPT = """ --Goal- -Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities. - --Steps- -1. Identify all entities. For each identified entity, extract the following information: -- entity_name: Name of the entity, capitalized -- entity_type: One of the following types: [{entity_types}] -- entity_description: Comprehensive description of the entity's attributes and activities -Format each entity as ("entity"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter} - -2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. -For each pair of related entities, extract the following information: -- source_entity: name of the source entity, as identified in step 1 -- target_entity: name of the target entity, as identified in step 1 -- relationship_description: explanation as to why you think the source entity and the target entity are related to each other -- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity - Format each relationship as ("relationship"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}) - -3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter. - -4. When finished, output {completion_delimiter} - -###################### --Examples- -###################### -Example 1: - -Entity_types: [person, technology, mission, organization, location] -Text: -while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order. - -Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.” - -The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce. - -It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths -################ -Output: -("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is a character who experiences frustration and is observant of the dynamics among other characters."){record_delimiter} -("entity"{tuple_delimiter}"Taylor"{tuple_delimiter}"person"{tuple_delimiter}"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective."){record_delimiter} -("entity"{tuple_delimiter}"Jordan"{tuple_delimiter}"person"{tuple_delimiter}"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device."){record_delimiter} -("entity"{tuple_delimiter}"Cruz"{tuple_delimiter}"person"{tuple_delimiter}"Cruz is associated with a vision of control and order, influencing the dynamics among other characters."){record_delimiter} -("entity"{tuple_delimiter}"The Device"{tuple_delimiter}"technology"{tuple_delimiter}"The Device is central to the story, with potential game-changing implications, and is revered by Taylor."){record_delimiter} -("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Taylor"{tuple_delimiter}"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device."{tuple_delimiter}7){record_delimiter} -("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Jordan"{tuple_delimiter}"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision."{tuple_delimiter}6){record_delimiter} -("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"Jordan"{tuple_delimiter}"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."{tuple_delimiter}8){record_delimiter} -("relationship"{tuple_delimiter}"Jordan"{tuple_delimiter}"Cruz"{tuple_delimiter}"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order."{tuple_delimiter}5){record_delimiter} -("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"The Device"{tuple_delimiter}"Taylor shows reverence towards the device, indicating its importance and potential impact."{tuple_delimiter}9){completion_delimiter} -############################# -Example 2: - -Entity_types: [person, technology, mission, organization, location] -Text: -They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve. - -Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril. - -Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence— the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly -############# -Output: -("entity"{tuple_delimiter}"Washington"{tuple_delimiter}"location"{tuple_delimiter}"Washington is a location where communications are being received, indicating its importance in the decision-making process."){record_delimiter} -("entity"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"mission"{tuple_delimiter}"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities."){record_delimiter} -("entity"{tuple_delimiter}"The team"{tuple_delimiter}"organization"{tuple_delimiter}"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role."){record_delimiter} -("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Washington"{tuple_delimiter}"The team receives communications from Washington, which influences their decision-making process."{tuple_delimiter}7){record_delimiter} -("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."{tuple_delimiter}9){completion_delimiter} -############################# -Example 3: - -Entity_types: [person, role, technology, organization, event, location, concept] -Text: -their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data. - -"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers' a whole new meaning." - -Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back." - -Together, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history. - -The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation -############# -Output: -("entity"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"person"{tuple_delimiter}"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety."){record_delimiter} -("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task."){record_delimiter} -("entity"{tuple_delimiter}"Control"{tuple_delimiter}"concept"{tuple_delimiter}"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules."){record_delimiter} -("entity"{tuple_delimiter}"Intelligence"{tuple_delimiter}"concept"{tuple_delimiter}"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate."){record_delimiter} -("entity"{tuple_delimiter}"First Contact"{tuple_delimiter}"event"{tuple_delimiter}"First Contact is the potential initial communication between humanity and an unknown intelligence."){record_delimiter} -("entity"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"event"{tuple_delimiter}"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence."){record_delimiter} -("relationship"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"Intelligence"{tuple_delimiter}"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."{tuple_delimiter}9){record_delimiter} -("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"First Contact"{tuple_delimiter}"Alex leads the team that might be making the First Contact with the unknown intelligence."{tuple_delimiter}10){record_delimiter} -("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"Alex and his team are the key figures in Humanity's Response to the unknown intelligence."{tuple_delimiter}8){record_delimiter} -("relationship"{tuple_delimiter}"Control"{tuple_delimiter}"Intelligence"{tuple_delimiter}"The concept of Control is challenged by the Intelligence that writes its own rules."{tuple_delimiter}7){completion_delimiter} -############################# --Real Data- -###################### -Entity_types: {entity_types} -Text: {input_text} -###################### -Output:""" - -CONTINUE_PROMPT = "MANY entities were missed in the last extraction. Add them below using the same format:\n" -LOOP_PROMPT = "It appears some entities may have still been missed. Answer YES | NO if there are still entities that need to be added.\n" diff --git a/graphrag/index/graph/extractors/summarize/__init__.py b/graphrag/index/graph/extractors/summarize/__init__.py index b4bfe5be87..54661d0f1c 100644 --- a/graphrag/index/graph/extractors/summarize/__init__.py +++ b/graphrag/index/graph/extractors/summarize/__init__.py @@ -3,10 +3,9 @@ """The Indexing Engine unipartite graph package root.""" -from .description_summary_extractor import ( +from graphrag.index.graph.extractors.summarize.description_summary_extractor import ( SummarizationResult, SummarizeExtractor, ) -from .prompts import SUMMARIZE_PROMPT -__all__ = ["SUMMARIZE_PROMPT", "SummarizationResult", "SummarizeExtractor"] +__all__ = ["SummarizationResult", "SummarizeExtractor"] diff --git a/graphrag/index/graph/extractors/summarize/description_summary_extractor.py b/graphrag/index/graph/extractors/summarize/description_summary_extractor.py index 76d77202d3..8d845d658e 100644 --- a/graphrag/index/graph/extractors/summarize/description_summary_extractor.py +++ b/graphrag/index/graph/extractors/summarize/description_summary_extractor.py @@ -9,8 +9,7 @@ from graphrag.index.typing import ErrorHandlerFn from graphrag.index.utils.tokens import num_tokens_from_string from graphrag.llm import CompletionLLM - -from .prompts import SUMMARIZE_PROMPT +from graphrag.prompts.index.summarize_descriptions import SUMMARIZE_PROMPT # Max token size for input prompts DEFAULT_MAX_INPUT_TOKENS = 4_000 @@ -67,7 +66,7 @@ async def __call__( result = "" if len(descriptions) == 0: result = "" - if len(descriptions) == 1: + elif len(descriptions) == 1: result = descriptions[0] else: result = await self._summarize_descriptions(items, descriptions) @@ -87,7 +86,11 @@ async def _summarize_descriptions( if not isinstance(descriptions, list): descriptions = [descriptions] - # Iterate over descriptions, adding all until the max input tokens is reached + # Sort description lists + if len(descriptions) > 1: + descriptions = sorted(descriptions) + + # Iterate over descriptions, adding all until the max input tokens is reached usable_tokens = self._max_input_tokens - num_tokens_from_string( self._summarization_prompt ) @@ -127,7 +130,9 @@ async def _summarize_descriptions_with_llm( name="summarize", variables={ self._entity_name_key: json.dumps(items), - self._input_descriptions_key: json.dumps(sorted(descriptions)), + self._input_descriptions_key: json.dumps( + sorted(descriptions), ensure_ascii=False + ), }, model_parameters={"max_tokens": self._max_summary_length}, ) diff --git a/graphrag/index/graph/utils/__init__.py b/graphrag/index/graph/utils/__init__.py index 6d4479283a..2f6971186d 100644 --- a/graphrag/index/graph/utils/__init__.py +++ b/graphrag/index/graph/utils/__init__.py @@ -3,7 +3,7 @@ """The Indexing Engine graph utils package root.""" -from .normalize_node_names import normalize_node_names -from .stable_lcc import stable_largest_connected_component +from graphrag.index.graph.utils.normalize_node_names import normalize_node_names +from graphrag.index.graph.utils.stable_lcc import stable_largest_connected_component __all__ = ["normalize_node_names", "stable_largest_connected_component"] diff --git a/graphrag/index/graph/utils/stable_lcc.py b/graphrag/index/graph/utils/stable_lcc.py index 7d602a6ba7..cbd5243513 100644 --- a/graphrag/index/graph/utils/stable_lcc.py +++ b/graphrag/index/graph/utils/stable_lcc.py @@ -6,13 +6,15 @@ from typing import Any, cast import networkx as nx -from graspologic.utils import largest_connected_component -from .normalize_node_names import normalize_node_names +from graphrag.index.graph.utils.normalize_node_names import normalize_node_names def stable_largest_connected_component(graph: nx.Graph) -> nx.Graph: """Return the largest connected component of the graph, with nodes and edges sorted in a stable way.""" + # NOTE: The import is done here to reduce the initial import time of the module + from graspologic.utils import largest_connected_component + graph = graph.copy() graph = cast(nx.Graph, largest_connected_component(graph)) graph = normalize_node_names(graph) diff --git a/graphrag/index/graph/visualization/__init__.py b/graphrag/index/graph/visualization/__init__.py index f7780e4e9c..090acdec32 100644 --- a/graphrag/index/graph/visualization/__init__.py +++ b/graphrag/index/graph/visualization/__init__.py @@ -3,8 +3,11 @@ """The Indexing Engine graph visualization package root.""" -from .compute_umap_positions import compute_umap_positions, get_zero_positions -from .typing import GraphLayout, NodePosition +from graphrag.index.graph.visualization.compute_umap_positions import ( + compute_umap_positions, + get_zero_positions, +) +from graphrag.index.graph.visualization.typing import GraphLayout, NodePosition __all__ = [ "GraphLayout", diff --git a/graphrag/index/graph/visualization/compute_umap_positions.py b/graphrag/index/graph/visualization/compute_umap_positions.py index 569b7b309d..36ac354b72 100644 --- a/graphrag/index/graph/visualization/compute_umap_positions.py +++ b/graphrag/index/graph/visualization/compute_umap_positions.py @@ -3,13 +3,11 @@ """A module containing compute_umap_positions and visualize_embedding method definition.""" -import graspologic as gc import matplotlib.pyplot as plt import networkx as nx import numpy as np -import umap -from .typing import NodePosition +from graphrag.index.graph.visualization.typing import NodePosition def get_zero_positions( @@ -61,6 +59,9 @@ def compute_umap_positions( random_state: int = 86, ) -> list[NodePosition]: """Project embedding vectors down to 2D/3D using UMAP.""" + # NOTE: This import is done here to reduce the initial import time of the graphrag package + import umap + embedding_positions = umap.UMAP( min_dist=min_dist, n_neighbors=n_neighbors, @@ -105,6 +106,9 @@ def visualize_embedding( umap_positions: list[dict], ): """Project embedding down to 2D using UMAP and visualize.""" + # NOTE: This import is done here to reduce the initial import time of the graphrag package + import graspologic as gc + # rendering plt.clf() figure = plt.gcf() diff --git a/graphrag/index/init_content.py b/graphrag/index/init_content.py deleted file mode 100644 index d2ad3906b1..0000000000 --- a/graphrag/index/init_content.py +++ /dev/null @@ -1,165 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License -"""Content for the init CLI command.""" - -import graphrag.config.defaults as defs - -INIT_YAML = f""" -encoding_model: cl100k_base -skip_workflows: [] -llm: - api_key: ${{GRAPHRAG_API_KEY}} - type: {defs.LLM_TYPE.value} # or azure_openai_chat - model: {defs.LLM_MODEL} - model_supports_json: true # recommended if this is available for your model. - # max_tokens: {defs.LLM_MAX_TOKENS} - # request_timeout: {defs.LLM_REQUEST_TIMEOUT} - # api_base: https://.openai.azure.com - # api_version: 2024-02-15-preview - # organization: - # deployment_name: - # tokens_per_minute: 150_000 # set a leaky bucket throttle - # requests_per_minute: 10_000 # set a leaky bucket throttle - # max_retries: {defs.LLM_MAX_RETRIES} - # max_retry_wait: {defs.LLM_MAX_RETRY_WAIT} - # sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times - # concurrent_requests: {defs.LLM_CONCURRENT_REQUESTS} # the number of parallel inflight requests that may be made - # temperature: {defs.LLM_TEMPERATURE} # temperature for sampling - # top_p: {defs.LLM_TOP_P} # top-p sampling - # n: {defs.LLM_N} # Number of completions to generate - -parallelization: - stagger: {defs.PARALLELIZATION_STAGGER} - # num_threads: {defs.PARALLELIZATION_NUM_THREADS} # the number of threads to use for parallel processing - -async_mode: {defs.ASYNC_MODE.value} # or asyncio - -embeddings: - ## parallelization: override the global parallelization settings for embeddings - async_mode: {defs.ASYNC_MODE.value} # or asyncio - llm: - api_key: ${{GRAPHRAG_API_KEY}} - type: {defs.EMBEDDING_TYPE.value} # or azure_openai_embedding - model: {defs.EMBEDDING_MODEL} - # api_base: https://.openai.azure.com - # api_version: 2024-02-15-preview - # organization: - # deployment_name: - # tokens_per_minute: 150_000 # set a leaky bucket throttle - # requests_per_minute: 10_000 # set a leaky bucket throttle - # max_retries: {defs.LLM_MAX_RETRIES} - # max_retry_wait: {defs.LLM_MAX_RETRY_WAIT} - # sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times - # concurrent_requests: {defs.LLM_CONCURRENT_REQUESTS} # the number of parallel inflight requests that may be made - # batch_size: {defs.EMBEDDING_BATCH_SIZE} # the number of documents to send in a single request - # batch_max_tokens: {defs.EMBEDDING_BATCH_MAX_TOKENS} # the maximum number of tokens to send in a single request - # target: {defs.EMBEDDING_TARGET.value} # or optional - - - -chunks: - size: {defs.CHUNK_SIZE} - overlap: {defs.CHUNK_OVERLAP} - group_by_columns: [{",".join(defs.CHUNK_GROUP_BY_COLUMNS)}] # by default, we don't allow chunks to cross documents - -input: - type: {defs.INPUT_TYPE.value} # or blob - file_type: {defs.INPUT_FILE_TYPE.value} # or csv - base_dir: "{defs.INPUT_BASE_DIR}" - file_encoding: {defs.INPUT_FILE_ENCODING} - file_pattern: ".*\\\\.txt$" - -cache: - type: {defs.CACHE_TYPE.value} # or blob - base_dir: "{defs.CACHE_BASE_DIR}" - # connection_string: - # container_name: - -storage: - type: {defs.STORAGE_TYPE.value} # or blob - base_dir: "{defs.STORAGE_BASE_DIR}" - # connection_string: - # container_name: - -reporting: - type: {defs.REPORTING_TYPE.value} # or console, blob - base_dir: "{defs.REPORTING_BASE_DIR}" - # connection_string: - # container_name: - -entity_extraction: - ## llm: override the global llm settings for this task - ## parallelization: override the global parallelization settings for this task - ## async_mode: override the global async_mode settings for this task - prompt: "prompts/entity_extraction.txt" - entity_types: [{",".join(defs.ENTITY_EXTRACTION_ENTITY_TYPES)}] - max_gleanings: {defs.ENTITY_EXTRACTION_MAX_GLEANINGS} - -summarize_descriptions: - ## llm: override the global llm settings for this task - ## parallelization: override the global parallelization settings for this task - ## async_mode: override the global async_mode settings for this task - prompt: "prompts/summarize_descriptions.txt" - max_length: {defs.SUMMARIZE_DESCRIPTIONS_MAX_LENGTH} - -claim_extraction: - ## llm: override the global llm settings for this task - ## parallelization: override the global parallelization settings for this task - ## async_mode: override the global async_mode settings for this task - # enabled: true - prompt: "prompts/claim_extraction.txt" - description: "{defs.CLAIM_DESCRIPTION}" - max_gleanings: {defs.CLAIM_MAX_GLEANINGS} - -community_reports: - ## llm: override the global llm settings for this task - ## parallelization: override the global parallelization settings for this task - ## async_mode: override the global async_mode settings for this task - prompt: "prompts/community_report.txt" - max_length: {defs.COMMUNITY_REPORT_MAX_LENGTH} - max_input_length: {defs.COMMUNITY_REPORT_MAX_INPUT_LENGTH} - -cluster_graph: - max_cluster_size: {defs.MAX_CLUSTER_SIZE} - -embed_graph: - enabled: false # if true, will generate node2vec embeddings for nodes - # num_walks: {defs.NODE2VEC_NUM_WALKS} - # walk_length: {defs.NODE2VEC_WALK_LENGTH} - # window_size: {defs.NODE2VEC_WINDOW_SIZE} - # iterations: {defs.NODE2VEC_ITERATIONS} - # random_seed: {defs.NODE2VEC_RANDOM_SEED} - -umap: - enabled: false # if true, will generate UMAP embeddings for nodes - -snapshots: - graphml: false - raw_entities: false - top_level_nodes: false - -local_search: - # text_unit_prop: {defs.LOCAL_SEARCH_TEXT_UNIT_PROP} - # community_prop: {defs.LOCAL_SEARCH_COMMUNITY_PROP} - # conversation_history_max_turns: {defs.LOCAL_SEARCH_CONVERSATION_HISTORY_MAX_TURNS} - # top_k_mapped_entities: {defs.LOCAL_SEARCH_TOP_K_MAPPED_ENTITIES} - # top_k_relationships: {defs.LOCAL_SEARCH_TOP_K_RELATIONSHIPS} - # llm_temperature: {defs.LOCAL_SEARCH_LLM_TEMPERATURE} # temperature for sampling - # llm_top_p: {defs.LOCAL_SEARCH_LLM_TOP_P} # top-p sampling - # llm_n: {defs.LOCAL_SEARCH_LLM_N} # Number of completions to generate - # max_tokens: {defs.LOCAL_SEARCH_MAX_TOKENS} - -global_search: - # llm_temperature: {defs.GLOBAL_SEARCH_LLM_TEMPERATURE} # temperature for sampling - # llm_top_p: {defs.GLOBAL_SEARCH_LLM_TOP_P} # top-p sampling - # llm_n: {defs.GLOBAL_SEARCH_LLM_N} # Number of completions to generate - # max_tokens: {defs.GLOBAL_SEARCH_MAX_TOKENS} - # data_max_tokens: {defs.GLOBAL_SEARCH_DATA_MAX_TOKENS} - # map_max_tokens: {defs.GLOBAL_SEARCH_MAP_MAX_TOKENS} - # reduce_max_tokens: {defs.GLOBAL_SEARCH_REDUCE_MAX_TOKENS} - # concurrency: {defs.GLOBAL_SEARCH_CONCURRENCY} -""" - -INIT_DOTENV = """ -GRAPHRAG_API_KEY= -""" diff --git a/graphrag/index/input/__init__.py b/graphrag/index/input/__init__.py index 91421867de..15177c91db 100644 --- a/graphrag/index/input/__init__.py +++ b/graphrag/index/input/__init__.py @@ -2,7 +2,3 @@ # Licensed under the MIT License """The Indexing Engine input package root.""" - -from .load_input import load_input - -__all__ = ["load_input"] diff --git a/graphrag/index/input/csv.py b/graphrag/index/input/csv.py index 2e4864a98c..ceec80b506 100644 --- a/graphrag/index/input/csv.py +++ b/graphrag/index/input/csv.py @@ -10,10 +10,10 @@ import pandas as pd -from graphrag.index.config import PipelineCSVInputConfig, PipelineInputConfig -from graphrag.index.progress import ProgressReporter -from graphrag.index.storage import PipelineStorage -from graphrag.index.utils import gen_md5_hash +from graphrag.index.config.input import PipelineCSVInputConfig, PipelineInputConfig +from graphrag.index.storage.pipeline_storage import PipelineStorage +from graphrag.index.utils.hashing import gen_md5_hash +from graphrag.logging.base import ProgressReporter log = logging.getLogger(__name__) diff --git a/graphrag/index/input/load_input.py b/graphrag/index/input/load_input.py index 6d62334210..4bfc82cbb8 100644 --- a/graphrag/index/input/load_input.py +++ b/graphrag/index/input/load_input.py @@ -10,18 +10,17 @@ import pandas as pd -from graphrag.config import InputConfig, InputType -from graphrag.index.config import PipelineInputConfig -from graphrag.index.progress import NullProgressReporter, ProgressReporter -from graphrag.index.storage import ( - BlobPipelineStorage, - FilePipelineStorage, -) - -from .csv import input_type as csv -from .csv import load as load_csv -from .text import input_type as text -from .text import load as load_text +from graphrag.config.enums import InputType +from graphrag.config.models.input_config import InputConfig +from graphrag.index.config.input import PipelineInputConfig +from graphrag.index.input.csv import input_type as csv +from graphrag.index.input.csv import load as load_csv +from graphrag.index.input.text import input_type as text +from graphrag.index.input.text import load as load_text +from graphrag.index.storage.blob_pipeline_storage import BlobPipelineStorage +from graphrag.index.storage.file_pipeline_storage import FilePipelineStorage +from graphrag.logging.base import ProgressReporter +from graphrag.logging.null_progress import NullProgressReporter log = logging.getLogger(__name__) loaders: dict[str, Callable[..., Awaitable[pd.DataFrame]]] = { diff --git a/graphrag/index/input/text.py b/graphrag/index/input/text.py index 2a676c0902..45814ee3ff 100644 --- a/graphrag/index/input/text.py +++ b/graphrag/index/input/text.py @@ -10,10 +10,10 @@ import pandas as pd -from graphrag.index.config import PipelineInputConfig -from graphrag.index.progress import ProgressReporter -from graphrag.index.storage import PipelineStorage -from graphrag.index.utils import gen_md5_hash +from graphrag.index.config.input import PipelineInputConfig +from graphrag.index.storage.pipeline_storage import PipelineStorage +from graphrag.index.utils.hashing import gen_md5_hash +from graphrag.logging.base import ProgressReporter DEFAULT_FILE_PATTERN = re.compile( r".*[\\/](?P[^\\/]+)[\\/](?P\d{4})-(?P\d{2})-(?P\d{2})_(?P[^_]+)_\d+\.txt" diff --git a/graphrag/index/llm/__init__.py b/graphrag/index/llm/__init__.py index 008ef07ccd..6644fd912f 100644 --- a/graphrag/index/llm/__init__.py +++ b/graphrag/index/llm/__init__.py @@ -2,13 +2,3 @@ # Licensed under the MIT License """The Indexing Engine LLM package root.""" - -from .load_llm import load_llm, load_llm_embeddings -from .types import TextListSplitter, TextSplitter - -__all__ = [ - "TextListSplitter", - "TextSplitter", - "load_llm", - "load_llm_embeddings", -] diff --git a/graphrag/index/llm/load_llm.py b/graphrag/index/llm/load_llm.py index 264229c887..f06c89ad9d 100644 --- a/graphrag/index/llm/load_llm.py +++ b/graphrag/index/llm/load_llm.py @@ -27,7 +27,7 @@ if TYPE_CHECKING: from datashaper import VerbCallbacks - from graphrag.index.cache import PipelineCache + from graphrag.index.cache.pipeline_cache import PipelineCache from graphrag.index.typing import ErrorHandlerFn log = logging.getLogger(__name__) @@ -77,7 +77,6 @@ def load_llm_embeddings( raise ValueError(msg) if cache is not None: cache = cache.child(name) - return loaders[llm_type]["load"](on_error, cache, llm_config or {}) msg = f"Unknown LLM type {llm_type}" @@ -200,7 +199,7 @@ def _get_base_config(config: dict[str, Any]) -> dict[str, Any]: "model_supports_json": config.get("model_supports_json"), "concurrent_requests": config.get("concurrent_requests", 4), "encoding_model": config.get("encoding_model", "cl100k_base"), - "cognitive_services_endpoint": config.get("cognitive_services_endpoint"), + "audience": config.get("audience"), } diff --git a/graphrag/index/load_pipeline_config.py b/graphrag/index/load_pipeline_config.py index dfcf321b3b..77893b9535 100644 --- a/graphrag/index/load_pipeline_config.py +++ b/graphrag/index/load_pipeline_config.py @@ -9,10 +9,9 @@ import yaml from pyaml_env import parse_config as parse_config_with_env -from graphrag.config import create_graphrag_config, read_dotenv -from graphrag.index.config import PipelineConfig - -from .create_pipeline_config import create_pipeline_config +from graphrag.config.create_graphrag_config import create_graphrag_config, read_dotenv +from graphrag.index.config.pipeline import PipelineConfig +from graphrag.index.create_pipeline_config import create_pipeline_config def load_pipeline_config(config_or_path: str | PipelineConfig) -> PipelineConfig: diff --git a/graphrag/index/operations/__init__.py b/graphrag/index/operations/__init__.py new file mode 100644 index 0000000000..c5a0f18b95 --- /dev/null +++ b/graphrag/index/operations/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Reusable data frame operations.""" diff --git a/graphrag/index/operations/chunk_text/__init__.py b/graphrag/index/operations/chunk_text/__init__.py new file mode 100644 index 0000000000..d84b4c0c38 --- /dev/null +++ b/graphrag/index/operations/chunk_text/__init__.py @@ -0,0 +1,12 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine text chunk package root.""" + +from graphrag.index.operations.chunk_text.chunk_text import ( + ChunkStrategy, + ChunkStrategyType, + chunk_text, +) + +__all__ = ["ChunkStrategy", "ChunkStrategyType", "chunk_text"] diff --git a/graphrag/index/verbs/text/chunk/text_chunk.py b/graphrag/index/operations/chunk_text/chunk_text.py similarity index 84% rename from graphrag/index/verbs/text/chunk/text_chunk.py rename to graphrag/index/operations/chunk_text/chunk_text.py index 40c5578a0f..60211ef88b 100644 --- a/graphrag/index/verbs/text/chunk/text_chunk.py +++ b/graphrag/index/operations/chunk_text/chunk_text.py @@ -3,59 +3,34 @@ """A module containing _get_num_total, chunk, run_strategy and load_strategy methods definitions.""" -from enum import Enum from typing import Any, cast import pandas as pd from datashaper import ( ProgressTicker, - TableContainer, VerbCallbacks, - VerbInput, progress_ticker, - verb, ) -from .strategies.typing import ChunkStrategy as ChunkStrategy -from .typing import ChunkInput - - -def _get_num_total(output: pd.DataFrame, column: str) -> int: - num_total = 0 - for row in output[column]: - if isinstance(row, str): - num_total += 1 - else: - num_total += len(row) - return num_total - - -class ChunkStrategyType(str, Enum): - """ChunkStrategy class definition.""" - - tokens = "tokens" - sentence = "sentence" - - def __repr__(self): - """Get a string representation.""" - return f'"{self.value}"' +from graphrag.index.operations.chunk_text.typing import ( + ChunkInput, + ChunkStrategy, + ChunkStrategyType, +) -@verb(name="chunk") -def chunk( - input: VerbInput, +def chunk_text( + input: pd.DataFrame, column: str, to: str, callbacks: VerbCallbacks, strategy: dict[str, Any] | None = None, - **_kwargs, -) -> TableContainer: +) -> pd.DataFrame: """ Chunk a piece of text into smaller pieces. ## Usage ```yaml - verb: text_chunk args: column: # The name of the column containing the text to chunk, this can either be a column with text, or a column with a list[tuple[doc_id, str]] to: # The name of the column to output the chunks to @@ -85,9 +60,9 @@ def chunk( type: sentence ``` """ + output = input if strategy is None: strategy = {} - output = cast(pd.DataFrame, input.get_input()) strategy_name = strategy.get("type", ChunkStrategyType.tokens) strategy_config = {**strategy} strategy_exec = load_strategy(strategy_name) @@ -102,7 +77,7 @@ def chunk( ), axis=1, ) - return TableContainer(table=output) + return output def run_strategy( @@ -146,17 +121,26 @@ def load_strategy(strategy: ChunkStrategyType) -> ChunkStrategy: """Load strategy method definition.""" match strategy: case ChunkStrategyType.tokens: - from .strategies.tokens import run as run_tokens + from graphrag.index.operations.chunk_text.strategies import run_tokens return run_tokens case ChunkStrategyType.sentence: # NLTK from graphrag.index.bootstrap import bootstrap - - from .strategies.sentence import run as run_sentence + from graphrag.index.operations.chunk_text.strategies import run_sentences bootstrap() - return run_sentence + return run_sentences case _: msg = f"Unknown strategy: {strategy}" raise ValueError(msg) + + +def _get_num_total(output: pd.DataFrame, column: str) -> int: + num_total = 0 + for row in output[column]: + if isinstance(row, str): + num_total += 1 + else: + num_total += len(row) + return num_total diff --git a/graphrag/index/verbs/text/chunk/strategies/tokens.py b/graphrag/index/operations/chunk_text/strategies.py similarity index 75% rename from graphrag/index/verbs/text/chunk/strategies/tokens.py rename to graphrag/index/operations/chunk_text/strategies.py index 6426c783e1..35c32585c0 100644 --- a/graphrag/index/verbs/text/chunk/strategies/tokens.py +++ b/graphrag/index/operations/chunk_text/strategies.py @@ -1,23 +1,24 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""A module containing run and split_text_on_tokens methods definition.""" +"""A module containing chunk strategies.""" from collections.abc import Iterable from typing import Any +import nltk import tiktoken from datashaper import ProgressTicker import graphrag.config.defaults as defs -from graphrag.index.text_splitting import Tokenizer -from graphrag.index.verbs.text.chunk.typing import TextChunk +from graphrag.index.operations.chunk_text.typing import TextChunk +from graphrag.index.text_splitting.text_splitting import Tokenizer -def run( +def run_tokens( input: list[str], args: dict[str, Any], tick: ProgressTicker ) -> Iterable[TextChunk]: - """Chunks text into multiple parts. A pipeline verb.""" + """Chunks text into chunks based on encoding tokens.""" tokens_per_chunk = args.get("chunk_size", defs.CHUNK_SIZE) chunk_overlap = args.get("chunk_overlap", defs.CHUNK_OVERLAP) encoding_name = args.get("encoding_name", defs.ENCODING_MODEL) @@ -31,7 +32,7 @@ def encode(text: str) -> list[int]: def decode(tokens: list[int]) -> str: return enc.decode(tokens) - return split_text_on_tokens( + return _split_text_on_tokens( input, Tokenizer( chunk_overlap=chunk_overlap, @@ -45,7 +46,7 @@ def decode(tokens: list[int]) -> str: # Adapted from - https://github.com/langchain-ai/langchain/blob/77b359edf5df0d37ef0d539f678cf64f5557cb54/libs/langchain/langchain/text_splitter.py#L471 # So we could have better control over the chunking process -def split_text_on_tokens( +def _split_text_on_tokens( texts: list[str], enc: Tokenizer, tick: ProgressTicker ) -> list[TextChunk]: """Split incoming text and return chunks.""" @@ -79,3 +80,17 @@ def split_text_on_tokens( chunk_ids = input_ids[start_idx:cur_idx] return result + + +def run_sentences( + input: list[str], _args: dict[str, Any], tick: ProgressTicker +) -> Iterable[TextChunk]: + """Chunks text into multiple parts by sentence.""" + for doc_idx, text in enumerate(input): + sentences = nltk.sent_tokenize(text) + for sentence in sentences: + yield TextChunk( + text_chunk=sentence, + source_doc_indices=[doc_idx], + ) + tick(1) diff --git a/graphrag/index/verbs/text/chunk/typing.py b/graphrag/index/operations/chunk_text/typing.py similarity index 50% rename from graphrag/index/verbs/text/chunk/typing.py rename to graphrag/index/operations/chunk_text/typing.py index 3a42cf68a7..ebfa4db963 100644 --- a/graphrag/index/verbs/text/chunk/typing.py +++ b/graphrag/index/operations/chunk_text/typing.py @@ -3,7 +3,12 @@ """A module containing 'TextChunk' model.""" +from collections.abc import Callable, Iterable from dataclasses import dataclass +from enum import Enum +from typing import Any + +from datashaper import ProgressTicker @dataclass @@ -17,3 +22,18 @@ class TextChunk: ChunkInput = str | list[str] | list[tuple[str, str]] """Input to a chunking strategy. Can be a string, a list of strings, or a list of tuples of (id, text).""" + +ChunkStrategy = Callable[ + [list[str], dict[str, Any], ProgressTicker], Iterable[TextChunk] +] + + +class ChunkStrategyType(str, Enum): + """ChunkStrategy class definition.""" + + tokens = "tokens" + sentence = "sentence" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' diff --git a/graphrag/index/operations/cluster_graph.py b/graphrag/index/operations/cluster_graph.py new file mode 100644 index 0000000000..295c78e6fb --- /dev/null +++ b/graphrag/index/operations/cluster_graph.py @@ -0,0 +1,203 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing cluster_graph, apply_clustering and run_layout methods definition.""" + +import logging +from enum import Enum +from random import Random +from typing import Any, cast + +import networkx as nx +import pandas as pd +from datashaper import VerbCallbacks, progress_iterable + +from graphrag.index.graph.utils import stable_largest_connected_component +from graphrag.index.utils.uuid import gen_uuid + +Communities = list[tuple[int, str, list[str]]] + + +class GraphCommunityStrategyType(str, Enum): + """GraphCommunityStrategyType class definition.""" + + leiden = "leiden" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +log = logging.getLogger(__name__) + + +def cluster_graph( + input: nx.Graph, + callbacks: VerbCallbacks, + strategy: dict[str, Any], + column: str, + to: str, + level_to: str | None = None, +) -> pd.DataFrame: + """Apply a hierarchical clustering algorithm to a graph.""" + output = pd.DataFrame() + # TODO: for back-compat, downstream expects a graphml string + output[column] = ["\n".join(nx.generate_graphml(input))] + communities = run_layout(strategy, input) + + community_map_to = "communities" + output[community_map_to] = [communities] + + level_to = level_to or f"{to}_level" + output[level_to] = output.apply( + lambda x: list({level for level, _, _ in x[community_map_to]}), axis=1 + ) + output[to] = None + + num_total = len(output) + + # Create a seed for this run (if not provided) + seed = strategy.get("seed", Random().randint(0, 0xFFFFFFFF)) # noqa S311 + + # Go through each of the rows + graph_level_pairs_column: list[list[tuple[int, str]]] = [] + for _, row in progress_iterable(output.iterrows(), callbacks.progress, num_total): + levels = row[level_to] + graph_level_pairs: list[tuple[int, str]] = [] + + # For each of the levels, get the graph and add it to the list + for level in levels: + graphml = "\n".join( + nx.generate_graphml( + apply_clustering( + input, + cast(Communities, row[community_map_to]), + level, + seed=seed, + ) + ) + ) + graph_level_pairs.append((level, graphml)) + graph_level_pairs_column.append(graph_level_pairs) + output[to] = graph_level_pairs_column + + # explode the list of (level, graph) pairs into separate rows + output = output.explode(to, ignore_index=True) + + # split the (level, graph) pairs into separate columns + # TODO: There is probably a better way to do this + output[[level_to, to]] = pd.DataFrame(output[to].tolist(), index=output.index) + + # clean up the community map + output.drop(columns=[community_map_to], inplace=True) + return output + + +def apply_clustering( + graph: nx.Graph, communities: Communities, level: int = 0, seed: int | None = None +) -> nx.Graph: + """Apply clustering to a graph.""" + random = Random(seed) # noqa S311 + for community_level, community_id, nodes in communities: + if level == community_level: + for node in nodes: + graph.nodes[node]["cluster"] = community_id + graph.nodes[node]["level"] = level + + # add node degree + for node_degree in graph.degree: + graph.nodes[str(node_degree[0])]["degree"] = int(node_degree[1]) + + # add node uuid and incremental record id (a human readable id used as reference in the final report) + for index, node in enumerate(graph.nodes()): + graph.nodes[node]["human_readable_id"] = index + graph.nodes[node]["id"] = str(gen_uuid(random)) + + # add ids to edges + for index, edge in enumerate(graph.edges()): + graph.edges[edge]["id"] = str(gen_uuid(random)) + graph.edges[edge]["human_readable_id"] = index + graph.edges[edge]["level"] = level + return graph + + +def run_layout(strategy: dict[str, Any], graph: nx.Graph) -> Communities: + """Run layout method definition.""" + if len(graph.nodes) == 0: + log.warning("Graph has no nodes") + return [] + + clusters: dict[int, dict[str, list[str]]] = {} + strategy_type = strategy.get("type", GraphCommunityStrategyType.leiden) + match strategy_type: + case GraphCommunityStrategyType.leiden: + clusters = run_leiden(graph, strategy) + case _: + msg = f"Unknown clustering strategy {strategy_type}" + raise ValueError(msg) + + results: Communities = [] + for level in clusters: + for cluster_id, nodes in clusters[level].items(): + results.append((level, cluster_id, nodes)) + return results + + +def run_leiden( + graph: nx.Graph, args: dict[str, Any] +) -> dict[int, dict[str, list[str]]]: + """Run method definition.""" + max_cluster_size = args.get("max_cluster_size", 10) + use_lcc = args.get("use_lcc", True) + if args.get("verbose", False): + log.info( + "Running leiden with max_cluster_size=%s, lcc=%s", max_cluster_size, use_lcc + ) + + node_id_to_community_map = _compute_leiden_communities( + graph=graph, + max_cluster_size=max_cluster_size, + use_lcc=use_lcc, + seed=args.get("seed", 0xDEADBEEF), + ) + levels = args.get("levels") + + # If they don't pass in levels, use them all + if levels is None: + levels = sorted(node_id_to_community_map.keys()) + + results_by_level: dict[int, dict[str, list[str]]] = {} + for level in levels: + result = {} + results_by_level[level] = result + for node_id, raw_community_id in node_id_to_community_map[level].items(): + community_id = str(raw_community_id) + if community_id not in result: + result[community_id] = [] + result[community_id].append(node_id) + return results_by_level + + +# Taken from graph_intelligence & adapted +def _compute_leiden_communities( + graph: nx.Graph | nx.DiGraph, + max_cluster_size: int, + use_lcc: bool, + seed=0xDEADBEEF, +) -> dict[int, dict[str, int]]: + """Return Leiden root communities.""" + # NOTE: This import is done here to reduce the initial import time of the graphrag package + from graspologic.partition import hierarchical_leiden + + if use_lcc: + graph = stable_largest_connected_component(graph) + + community_mapping = hierarchical_leiden( + graph, max_cluster_size=max_cluster_size, random_seed=seed + ) + results: dict[int, dict[str, int]] = {} + for partition in community_mapping: + results[partition.level] = results.get(partition.level, {}) + results[partition.level][partition.node] = partition.cluster + + return results diff --git a/graphrag/index/operations/compute_edge_combined_degree.py b/graphrag/index/operations/compute_edge_combined_degree.py new file mode 100644 index 0000000000..1fec455c33 --- /dev/null +++ b/graphrag/index/operations/compute_edge_combined_degree.py @@ -0,0 +1,43 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing compute_edge_combined_degree methods definition.""" + +from typing import cast + +import pandas as pd + + +def compute_edge_combined_degree( + edge_df: pd.DataFrame, + node_degree_df: pd.DataFrame, + node_name_column: str, + node_degree_column: str, + edge_source_column: str, + edge_target_column: str, +) -> pd.Series: + """Compute the combined degree for each edge in a graph.""" + + def join_to_degree(df: pd.DataFrame, column: str) -> pd.DataFrame: + degree_column = _degree_colname(column) + result = df.merge( + node_degree_df.rename( + columns={node_name_column: column, node_degree_column: degree_column} + ), + on=column, + how="left", + ) + result[degree_column] = result[degree_column].fillna(0) + return result + + output_df = join_to_degree(edge_df, edge_source_column) + output_df = join_to_degree(output_df, edge_target_column) + output_df["combined_degree"] = ( + output_df[_degree_colname(edge_source_column)] + + output_df[_degree_colname(edge_target_column)] + ) + return cast(pd.Series, output_df["combined_degree"]) + + +def _degree_colname(column: str) -> str: + return f"{column}_degree" diff --git a/graphrag/index/operations/embed_graph/__init__.py b/graphrag/index/operations/embed_graph/__init__.py new file mode 100644 index 0000000000..07c91c3be8 --- /dev/null +++ b/graphrag/index/operations/embed_graph/__init__.py @@ -0,0 +1,12 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine graph embed package root.""" + +from graphrag.index.operations.embed_graph.embed_graph import ( + EmbedGraphStrategyType, + embed_graph, +) +from graphrag.index.operations.embed_graph.typing import NodeEmbeddings + +__all__ = ["EmbedGraphStrategyType", "NodeEmbeddings", "embed_graph"] diff --git a/graphrag/index/verbs/graph/embed/embed_graph.py b/graphrag/index/operations/embed_graph/embed_graph.py similarity index 63% rename from graphrag/index/verbs/graph/embed/embed_graph.py rename to graphrag/index/operations/embed_graph/embed_graph.py index 8691d343f0..d6d345a124 100644 --- a/graphrag/index/verbs/graph/embed/embed_graph.py +++ b/graphrag/index/operations/embed_graph/embed_graph.py @@ -8,11 +8,12 @@ import networkx as nx import pandas as pd -from datashaper import TableContainer, VerbCallbacks, VerbInput, derive_from_rows, verb +from datashaper import VerbCallbacks, derive_from_rows -from graphrag.index.utils import load_graph - -from .typing import NodeEmbeddings +from graphrag.index.graph.embedding import embed_nod2vec +from graphrag.index.graph.utils import stable_largest_connected_component +from graphrag.index.operations.embed_graph.typing import NodeEmbeddings +from graphrag.index.utils.load_graph import load_graph class EmbedGraphStrategyType(str, Enum): @@ -25,21 +26,18 @@ def __repr__(self): return f'"{self.value}"' -@verb(name="embed_graph") async def embed_graph( - input: VerbInput, + input: pd.DataFrame, callbacks: VerbCallbacks, strategy: dict[str, Any], column: str, - to: str, - **kwargs, -) -> TableContainer: + num_threads: int = 4, +): """ - Embed a graph into a vector space. The graph is expected to be in graphml format. The verb outputs a new column containing a mapping between node_id and vector. + Embed a graph into a vector space. The graph is expected to be in graphml format. The operation outputs a new column containing a mapping between node_id and vector. ## Usage ```yaml - verb: embed_graph args: column: clustered_graph # The name of the column containing the graph, should be a graphml graph to: embeddings # The name of the column to output the embeddings to @@ -47,7 +45,7 @@ async def embed_graph( ``` ## Strategies - The embed_graph verb uses a strategy to embed the graph. The strategy is an object which defines the strategy to use. The following strategies are available: + The embed_graph operation uses a strategy to embed the graph. The strategy is an object which defines the strategy to use. The following strategies are available: ### node2vec This strategy uses the node2vec algorithm to embed a graph. The strategy config is as follows: @@ -63,8 +61,6 @@ async def embed_graph( random_seed: 86 # Optional, The random seed to use for the embedding, default: 86 ``` """ - output_df = cast(pd.DataFrame, input.get_input()) - strategy_type = strategy.get("type", EmbedGraphStrategyType.node2vec) strategy_args = {**strategy} @@ -72,13 +68,13 @@ async def run_strategy(row): # noqa RUF029 async is required for interface return run_embeddings(strategy_type, cast(Any, row[column]), strategy_args) results = await derive_from_rows( - output_df, + input, run_strategy, callbacks=callbacks, - num_threads=kwargs.get("num_threads", None), + num_threads=num_threads, ) - output_df[to] = list(results) - return TableContainer(table=output_df) + + return list(results) def run_embeddings( @@ -90,9 +86,29 @@ def run_embeddings( graph = load_graph(graphml_or_graph) match strategy: case EmbedGraphStrategyType.node2vec: - from .strategies.node_2_vec import run as run_node_2_vec - return run_node_2_vec(graph, args) case _: msg = f"Unknown strategy {strategy}" raise ValueError(msg) + + +def run_node_2_vec(graph: nx.Graph, args: dict[str, Any]) -> NodeEmbeddings: + """Run method definition.""" + if args.get("use_lcc", True): + graph = stable_largest_connected_component(graph) + + # create graph embedding using node2vec + embeddings = embed_nod2vec( + graph=graph, + dimensions=args.get("dimensions", 1536), + num_walks=args.get("num_walks", 10), + walk_length=args.get("walk_length", 40), + window_size=args.get("window_size", 2), + iterations=args.get("iterations", 3), + random_seed=args.get("random_seed", 86), + ) + + pairs = zip(embeddings.nodes, embeddings.embeddings.tolist(), strict=True) + sorted_pairs = sorted(pairs, key=lambda x: x[0]) + + return dict(sorted_pairs) diff --git a/graphrag/index/verbs/graph/embed/typing.py b/graphrag/index/operations/embed_graph/typing.py similarity index 100% rename from graphrag/index/verbs/graph/embed/typing.py rename to graphrag/index/operations/embed_graph/typing.py diff --git a/graphrag/index/operations/embed_text/__init__.py b/graphrag/index/operations/embed_text/__init__.py new file mode 100644 index 0000000000..214f064c96 --- /dev/null +++ b/graphrag/index/operations/embed_text/__init__.py @@ -0,0 +1,11 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine text embed package root.""" + +from graphrag.index.operations.embed_text.embed_text import ( + TextEmbedStrategyType, + embed_text, +) + +__all__ = ["TextEmbedStrategyType", "embed_text"] diff --git a/graphrag/index/verbs/text/embed/text_embed.py b/graphrag/index/operations/embed_text/embed_text.py similarity index 63% rename from graphrag/index/verbs/text/embed/text_embed.py rename to graphrag/index/operations/embed_text/embed_text.py index 76ac97d76f..627d1728b2 100644 --- a/graphrag/index/verbs/text/embed/text_embed.py +++ b/graphrag/index/operations/embed_text/embed_text.py @@ -1,24 +1,21 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""A module containing text_embed, load_strategy and create_row_from_embedding_data methods definition.""" +"""A module containing embed_text, load_strategy and create_row_from_embedding_data methods definition.""" import logging from enum import Enum -from typing import Any, cast +from typing import Any import numpy as np import pandas as pd -from datashaper import TableContainer, VerbCallbacks, VerbInput, verb +from datashaper import VerbCallbacks -from graphrag.index.cache import PipelineCache -from graphrag.vector_stores import ( - BaseVectorStore, - VectorStoreDocument, - VectorStoreFactory, -) - -from .strategies.typing import TextEmbeddingStrategy +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.operations.embed_text.strategies.typing import TextEmbeddingStrategy +from graphrag.utils.embeddings import create_collection_name +from graphrag.vector_stores.base import BaseVectorStore, VectorStoreDocument +from graphrag.vector_stores.factory import VectorStoreFactory log = logging.getLogger(__name__) @@ -38,21 +35,21 @@ def __repr__(self): return f'"{self.value}"' -@verb(name="text_embed") -async def text_embed( - input: VerbInput, +async def embed_text( + input: pd.DataFrame, callbacks: VerbCallbacks, cache: PipelineCache, - column: str, + embed_column: str, strategy: dict, - **kwargs, -) -> TableContainer: + embedding_name: str, + id_column: str = "id", + title_column: str | None = None, +): """ - Embed a piece of text into a vector space. The verb outputs a new column containing a mapping between doc_id and vector. + Embed a piece of text into a vector space. The operation outputs a new column containing a mapping between doc_id and vector. ## Usage ```yaml - verb: text_embed args: column: text # The name of the column containing the text to embed, this can either be a column with text, or a column with a list[tuple[doc_id, str]] to: embedding # The name of the column to output the embedding to @@ -60,7 +57,7 @@ async def text_embed( ``` ## Strategies - The text embed verb uses a strategy to embed the text. The strategy is an object which defines the strategy to use. The following strategies are available: + The text embed operation uses a strategy to embed the text. The strategy is an object which defines the strategy to use. The following strategies are available: ### openai This strategy uses openai to embed a piece of text. In particular it uses a LLM to embed a piece of text. The strategy config is as follows: @@ -82,7 +79,6 @@ async def text_embed( vector_store_config = strategy.get("vector_store") if vector_store_config: - embedding_name = kwargs.get("embedding_name", "default") collection_name = _get_collection_name(vector_store_config, embedding_name) vector_store: BaseVectorStore = _create_vector_store( vector_store_config, collection_name @@ -94,57 +90,51 @@ async def text_embed( input, callbacks, cache, - column, + embed_column, strategy, vector_store, vector_store_workflow_config, - vector_store_config.get("store_in_table", False), - kwargs.get("to", f"{column}_embedding"), + id_column=id_column, + title_column=title_column, ) return await _text_embed_in_memory( input, callbacks, cache, - column, + embed_column, strategy, - kwargs.get("to", f"{column}_embedding"), ) async def _text_embed_in_memory( - input: VerbInput, + input: pd.DataFrame, callbacks: VerbCallbacks, cache: PipelineCache, - column: str, + embed_column: str, strategy: dict, - to: str, ): - output_df = cast(pd.DataFrame, input.get_input()) strategy_type = strategy["type"] strategy_exec = load_strategy(strategy_type) strategy_args = {**strategy} - input_table = input.get_input() - texts: list[str] = input_table[column].to_numpy().tolist() + texts: list[str] = input[embed_column].to_numpy().tolist() result = await strategy_exec(texts, callbacks, cache, strategy_args) - output_df[to] = result.embeddings - return TableContainer(table=output_df) + return result.embeddings async def _text_embed_with_vector_store( - input: VerbInput, + input: pd.DataFrame, callbacks: VerbCallbacks, cache: PipelineCache, - column: str, + embed_column: str, strategy: dict[str, Any], vector_store: BaseVectorStore, vector_store_config: dict, - store_in_table: bool = False, - to: str = "", + id_column: str = "id", + title_column: str | None = None, ): - output_df = cast(pd.DataFrame, input.get_input()) strategy_type = strategy["type"] strategy_exec = load_strategy(strategy_type) strategy_args = {**strategy} @@ -153,22 +143,24 @@ async def _text_embed_with_vector_store( insert_batch_size: int = ( vector_store_config.get("batch_size") or DEFAULT_EMBEDDING_BATCH_SIZE ) - title_column: str = vector_store_config.get("title_column", "title") - id_column: str = vector_store_config.get("id_column", "id") + overwrite: bool = vector_store_config.get("overwrite", True) - if column not in output_df.columns: - msg = f"Column {column} not found in input dataframe with columns {output_df.columns}" + if embed_column not in input.columns: + msg = f"Column {embed_column} not found in input dataframe with columns {input.columns}" raise ValueError(msg) - if title_column not in output_df.columns: - msg = f"Column {title_column} not found in input dataframe with columns {output_df.columns}" + title = title_column or embed_column + if title not in input.columns: + msg = ( + f"Column {title} not found in input dataframe with columns {input.columns}" + ) raise ValueError(msg) - if id_column not in output_df.columns: - msg = f"Column {id_column} not found in input dataframe with columns {output_df.columns}" + if id_column not in input.columns: + msg = f"Column {id_column} not found in input dataframe with columns {input.columns}" raise ValueError(msg) total_rows = 0 - for row in output_df[column]: + for row in input[embed_column]: if isinstance(row, list): total_rows += len(row) else: @@ -179,12 +171,10 @@ async def _text_embed_with_vector_store( all_results = [] - while insert_batch_size * i < input.get_input().shape[0]: - batch = input.get_input().iloc[ - insert_batch_size * i : insert_batch_size * (i + 1) - ] - texts: list[str] = batch[column].to_numpy().tolist() - titles: list[str] = batch[title_column].to_numpy().tolist() + while insert_batch_size * i < input.shape[0]: + batch = input.iloc[insert_batch_size * i : insert_batch_size * (i + 1)] + texts: list[str] = batch[embed_column].to_numpy().tolist() + titles: list[str] = batch[title].to_numpy().tolist() ids: list[str] = batch[id_column].to_numpy().tolist() result = await strategy_exec( texts, @@ -192,7 +182,7 @@ async def _text_embed_with_vector_store( cache, strategy_args, ) - if store_in_table and result.embeddings: + if result.embeddings: embeddings = [ embedding for embedding in result.embeddings if embedding is not None ] @@ -200,14 +190,16 @@ async def _text_embed_with_vector_store( vectors = result.embeddings or [] documents: list[VectorStoreDocument] = [] - for id, text, title, vector in zip(ids, texts, titles, vectors, strict=True): - if type(vector) is np.ndarray: - vector = vector.tolist() + for doc_id, doc_text, doc_title, doc_vector in zip( + ids, texts, titles, vectors, strict=True + ): + if type(doc_vector) is np.ndarray: + doc_vector = doc_vector.tolist() document = VectorStoreDocument( - id=id, - text=text, - vector=vector, - attributes={"title": title}, + id=doc_id, + text=doc_text, + vector=doc_vector, + attributes={"title": doc_title}, ) documents.append(document) @@ -215,10 +207,7 @@ async def _text_embed_with_vector_store( starting_index += len(documents) i += 1 - if store_in_table: - output_df[to] = all_results - - return TableContainer(table=output_df) + return all_results def _create_vector_store( @@ -237,12 +226,10 @@ def _create_vector_store( def _get_collection_name(vector_store_config: dict, embedding_name: str) -> str: - collection_name = vector_store_config.get("collection_name") - if not collection_name: - collection_names = vector_store_config.get("collection_names", {}) - collection_name = collection_names.get(embedding_name, embedding_name) + container_name = vector_store_config.get("container_name", "default") + collection_name = create_collection_name(container_name, embedding_name) - msg = f"using {vector_store_config.get('type')} collection_name {collection_name} for embedding {embedding_name}" + msg = f"using vector store {vector_store_config.get('type')} with container_name {container_name} for embedding {embedding_name}: {collection_name}" log.info(msg) return collection_name @@ -251,11 +238,15 @@ def load_strategy(strategy: TextEmbedStrategyType) -> TextEmbeddingStrategy: """Load strategy method definition.""" match strategy: case TextEmbedStrategyType.openai: - from .strategies.openai import run as run_openai + from graphrag.index.operations.embed_text.strategies.openai import ( + run as run_openai, + ) return run_openai case TextEmbedStrategyType.mock: - from .strategies.mock import run as run_mock + from graphrag.index.operations.embed_text.strategies.mock import ( + run as run_mock, + ) return run_mock case _: diff --git a/graphrag/index/verbs/text/embed/strategies/__init__.py b/graphrag/index/operations/embed_text/strategies/__init__.py similarity index 100% rename from graphrag/index/verbs/text/embed/strategies/__init__.py rename to graphrag/index/operations/embed_text/strategies/__init__.py diff --git a/graphrag/index/verbs/text/embed/strategies/mock.py b/graphrag/index/operations/embed_text/strategies/mock.py similarity index 86% rename from graphrag/index/verbs/text/embed/strategies/mock.py rename to graphrag/index/operations/embed_text/strategies/mock.py index 1be4ab0f9f..a32eceb386 100644 --- a/graphrag/index/verbs/text/embed/strategies/mock.py +++ b/graphrag/index/operations/embed_text/strategies/mock.py @@ -9,9 +9,8 @@ from datashaper import ProgressTicker, VerbCallbacks, progress_ticker -from graphrag.index.cache import PipelineCache - -from .typing import TextEmbeddingResult +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.operations.embed_text.strategies.typing import TextEmbeddingResult async def run( # noqa RUF029 async is required for interface diff --git a/graphrag/index/verbs/text/embed/strategies/openai.py b/graphrag/index/operations/embed_text/strategies/openai.py similarity index 94% rename from graphrag/index/verbs/text/embed/strategies/openai.py rename to graphrag/index/operations/embed_text/strategies/openai.py index fb443ec83e..f0445d8480 100644 --- a/graphrag/index/verbs/text/embed/strategies/openai.py +++ b/graphrag/index/operations/embed_text/strategies/openai.py @@ -11,14 +11,13 @@ from datashaper import ProgressTicker, VerbCallbacks, progress_ticker import graphrag.config.defaults as defs -from graphrag.index.cache import PipelineCache -from graphrag.index.llm import load_llm_embeddings -from graphrag.index.text_splitting import TokenTextSplitter -from graphrag.index.utils import is_null +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.llm.load_llm import load_llm_embeddings +from graphrag.index.operations.embed_text.strategies.typing import TextEmbeddingResult +from graphrag.index.text_splitting.text_splitting import TokenTextSplitter +from graphrag.index.utils.is_null import is_null from graphrag.llm import EmbeddingLLM, OpenAIConfiguration -from .typing import TextEmbeddingResult - log = logging.getLogger(__name__) diff --git a/graphrag/index/verbs/text/embed/strategies/typing.py b/graphrag/index/operations/embed_text/strategies/typing.py similarity index 90% rename from graphrag/index/verbs/text/embed/strategies/typing.py rename to graphrag/index/operations/embed_text/strategies/typing.py index 1b25256497..79998f72eb 100644 --- a/graphrag/index/verbs/text/embed/strategies/typing.py +++ b/graphrag/index/operations/embed_text/strategies/typing.py @@ -8,7 +8,7 @@ from datashaper import VerbCallbacks -from graphrag.index.cache import PipelineCache +from graphrag.index.cache.pipeline_cache import PipelineCache @dataclass diff --git a/graphrag/index/verbs/covariates/extract_covariates/__init__.py b/graphrag/index/operations/extract_covariates/__init__.py similarity index 59% rename from graphrag/index/verbs/covariates/extract_covariates/__init__.py rename to graphrag/index/operations/extract_covariates/__init__.py index 53d357bb46..315f503c3e 100644 --- a/graphrag/index/verbs/covariates/extract_covariates/__init__.py +++ b/graphrag/index/operations/extract_covariates/__init__.py @@ -3,6 +3,9 @@ """The Indexing Engine text extract claims package root.""" -from .extract_covariates import ExtractClaimsStrategyType, extract_covariates +from graphrag.index.operations.extract_covariates.extract_covariates import ( + ExtractClaimsStrategyType, + extract_covariates, +) __all__ = ["ExtractClaimsStrategyType", "extract_covariates"] diff --git a/graphrag/index/verbs/covariates/extract_covariates/extract_covariates.py b/graphrag/index/operations/extract_covariates/extract_covariates.py similarity index 62% rename from graphrag/index/verbs/covariates/extract_covariates/extract_covariates.py rename to graphrag/index/operations/extract_covariates/extract_covariates.py index a67cb0fa0e..48b3b04c31 100644 --- a/graphrag/index/verbs/covariates/extract_covariates/extract_covariates.py +++ b/graphrag/index/operations/extract_covariates/extract_covariates.py @@ -5,60 +5,43 @@ import logging from dataclasses import asdict -from enum import Enum -from typing import Any, cast +from typing import Any import pandas as pd from datashaper import ( AsyncType, - TableContainer, VerbCallbacks, - VerbInput, derive_from_rows, - verb, ) -from graphrag.index.cache import PipelineCache -from graphrag.index.verbs.covariates.typing import Covariate, CovariateExtractStrategy +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.operations.extract_covariates.typing import ( + Covariate, + CovariateExtractStrategy, + ExtractClaimsStrategyType, +) log = logging.getLogger(__name__) -class ExtractClaimsStrategyType(str, Enum): - """ExtractClaimsStrategyType class definition.""" - - graph_intelligence = "graph_intelligence" - - def __repr__(self): - """Get a string representation.""" - return f'"{self.value}"' - - DEFAULT_ENTITY_TYPES = ["organization", "person", "geo", "event"] -@verb(name="extract_covariates") async def extract_covariates( - input: VerbInput, - cache: PipelineCache, + input: pd.DataFrame, callbacks: VerbCallbacks, + cache: PipelineCache, column: str, covariate_type: str, strategy: dict[str, Any] | None, async_mode: AsyncType = AsyncType.AsyncIO, entity_types: list[str] | None = None, - **kwargs, -) -> TableContainer: - """ - Extract claims from a piece of text. - - ## Usage - TODO - """ + num_threads: int = 4, +): + """Extract claims from a piece of text.""" log.debug("extract_covariates strategy=%s", strategy) if entity_types is None: entity_types = DEFAULT_ENTITY_TYPES - output = cast(pd.DataFrame, input.get_input()) resolved_entities_map = {} @@ -79,23 +62,24 @@ async def run_strategy(row): ] results = await derive_from_rows( - output, + input, run_strategy, callbacks, scheduling_type=async_mode, - num_threads=kwargs.get("num_threads", 4), + num_threads=num_threads, ) - output = pd.DataFrame([item for row in results for item in row or []]) - return TableContainer(table=output) + return pd.DataFrame([item for row in results for item in row or []]) def load_strategy(strategy_type: ExtractClaimsStrategyType) -> CovariateExtractStrategy: """Load strategy method definition.""" match strategy_type: case ExtractClaimsStrategyType.graph_intelligence: - from .strategies.graph_intelligence import run as run_gi + from graphrag.index.operations.extract_covariates.strategies import ( + run_graph_intelligence, + ) - return run_gi + return run_graph_intelligence case _: msg = f"Unknown strategy: {strategy_type}" raise ValueError(msg) @@ -103,8 +87,4 @@ def load_strategy(strategy_type: ExtractClaimsStrategyType) -> CovariateExtractS def create_row_from_claim_data(row, covariate_data: Covariate, covariate_type: str): """Create a row from the claim data and the input row.""" - item = {**row, **asdict(covariate_data), "covariate_type": covariate_type} - # TODO: doc_id from extraction isn't necessary - # since chunking happens before this - del item["doc_id"] - return item + return {**row, **asdict(covariate_data), "covariate_type": covariate_type} diff --git a/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/run_gi_extract_claims.py b/graphrag/index/operations/extract_covariates/strategies.py similarity index 75% rename from graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/run_gi_extract_claims.py rename to graphrag/index/operations/extract_covariates/strategies.py index 1c9f058830..4d7729961c 100644 --- a/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/run_gi_extract_claims.py +++ b/graphrag/index/operations/extract_covariates/strategies.py @@ -9,35 +9,30 @@ from datashaper import VerbCallbacks import graphrag.config.defaults as defs -from graphrag.config.enums import LLMType -from graphrag.index.cache import PipelineCache +from graphrag.index.cache.pipeline_cache import PipelineCache from graphrag.index.graph.extractors.claims import ClaimExtractor -from graphrag.index.llm import load_llm -from graphrag.index.verbs.covariates.typing import ( +from graphrag.index.llm.load_llm import load_llm +from graphrag.index.operations.extract_covariates.typing import ( Covariate, CovariateExtractionResult, ) from graphrag.llm import CompletionLLM -from .defaults import MOCK_LLM_RESPONSES - -async def run( +async def run_graph_intelligence( input: str | Iterable[str], entity_types: list[str], resolved_entities_map: dict[str, str], - reporter: VerbCallbacks, - pipeline_cache: PipelineCache, + callbacks: VerbCallbacks, + cache: PipelineCache, strategy_config: dict[str, Any], ) -> CovariateExtractionResult: """Run the Claim extraction chain.""" - llm_config = strategy_config.get( - "llm", {"type": LLMType.StaticResponse, "responses": MOCK_LLM_RESPONSES} - ) - llm_type = llm_config.get("type", LLMType.StaticResponse) - llm = load_llm("claim_extraction", llm_type, reporter, pipeline_cache, llm_config) + llm_config = strategy_config.get("llm", {}) + llm_type = llm_config.get("type") + llm = load_llm("claim_extraction", llm_type, callbacks, cache, llm_config) return await _execute( - llm, input, entity_types, resolved_entities_map, reporter, strategy_config + llm, input, entity_types, resolved_entities_map, callbacks, strategy_config ) @@ -46,7 +41,7 @@ async def _execute( texts: Iterable[str], entity_types: list[str], resolved_entities_map: dict[str, str], - reporter: VerbCallbacks, + callbacks: VerbCallbacks, strategy_config: dict[str, Any], ) -> CovariateExtractionResult: extraction_prompt = strategy_config.get("extraction_prompt") @@ -62,7 +57,7 @@ async def _execute( max_gleanings=max_gleanings, encoding_model=encoding_model, on_error=lambda e, s, d: ( - reporter.error("Claim Extraction Error", e, s, d) if reporter else None + callbacks.error("Claim Extraction Error", e, s, d) if callbacks else None ), ) @@ -91,16 +86,13 @@ def create_covariate(item: dict[str, Any]) -> Covariate: """Create a covariate from the item.""" return Covariate( subject_id=item.get("subject_id"), - subject_type=item.get("subject_type"), object_id=item.get("object_id"), - object_type=item.get("object_type"), type=item.get("type"), status=item.get("status"), start_date=item.get("start_date"), end_date=item.get("end_date"), description=item.get("description"), source_text=item.get("source_text"), - doc_id=item.get("doc_id"), record_id=item.get("record_id"), id=item.get("id"), ) diff --git a/graphrag/index/verbs/covariates/typing.py b/graphrag/index/operations/extract_covariates/typing.py similarity index 77% rename from graphrag/index/verbs/covariates/typing.py rename to graphrag/index/operations/extract_covariates/typing.py index e31cfa4989..a208ea3e9f 100644 --- a/graphrag/index/verbs/covariates/typing.py +++ b/graphrag/index/operations/extract_covariates/typing.py @@ -5,11 +5,12 @@ from collections.abc import Awaitable, Callable, Iterable from dataclasses import dataclass +from enum import Enum from typing import Any from datashaper import VerbCallbacks -from graphrag.index.cache import PipelineCache +from graphrag.index.cache.pipeline_cache import PipelineCache @dataclass @@ -18,9 +19,7 @@ class Covariate: covariate_type: str | None = None subject_id: str | None = None - subject_type: str | None = None object_id: str | None = None - object_type: str | None = None type: str | None = None status: str | None = None start_date: str | None = None @@ -50,3 +49,13 @@ class CovariateExtractionResult: ], Awaitable[CovariateExtractionResult], ] + + +class ExtractClaimsStrategyType(str, Enum): + """ExtractClaimsStrategyType class definition.""" + + graph_intelligence = "graph_intelligence" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' diff --git a/graphrag/index/operations/extract_entities/__init__.py b/graphrag/index/operations/extract_entities/__init__.py new file mode 100644 index 0000000000..5092df4a52 --- /dev/null +++ b/graphrag/index/operations/extract_entities/__init__.py @@ -0,0 +1,11 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine entities extraction package root.""" + +from graphrag.index.operations.extract_entities.extract_entities import ( + ExtractEntityStrategyType, + extract_entities, +) + +__all__ = ["ExtractEntityStrategyType", "extract_entities"] diff --git a/graphrag/index/verbs/entities/extraction/entity_extract.py b/graphrag/index/operations/extract_entities/extract_entities.py similarity index 71% rename from graphrag/index/verbs/entities/extraction/entity_extract.py rename to graphrag/index/operations/extract_entities/extract_entities.py index 4e961f674d..522d4d98e5 100644 --- a/graphrag/index/verbs/entities/extraction/entity_extract.py +++ b/graphrag/index/operations/extract_entities/extract_entities.py @@ -5,22 +5,22 @@ import logging from enum import Enum -from typing import Any, cast +from typing import Any +import networkx as nx import pandas as pd from datashaper import ( AsyncType, - TableContainer, VerbCallbacks, - VerbInput, derive_from_rows, - verb, ) from graphrag.index.bootstrap import bootstrap -from graphrag.index.cache import PipelineCache - -from .strategies.typing import Document, EntityExtractStrategy +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.operations.extract_entities.strategies.typing import ( + Document, + EntityExtractStrategy, +) log = logging.getLogger(__name__) @@ -40,47 +40,27 @@ def __repr__(self): DEFAULT_ENTITY_TYPES = ["organization", "person", "geo", "event"] -@verb(name="entity_extract") -async def entity_extract( - input: VerbInput, - cache: PipelineCache, +async def extract_entities( + input: pd.DataFrame, callbacks: VerbCallbacks, - column: str, + cache: PipelineCache, + text_column: str, id_column: str, to: str, strategy: dict[str, Any] | None, - graph_to: str | None = None, async_mode: AsyncType = AsyncType.AsyncIO, entity_types=DEFAULT_ENTITY_TYPES, - **kwargs, -) -> TableContainer: + num_threads: int = 4, +) -> tuple[pd.DataFrame, list[nx.Graph]]: """ Extract entities from a piece of text. ## Usage - ### json - ```json - { - "verb": "entity_extract", - "args": { - "column": "the_document_text_column_to_extract_entities_from", /* In general this will be your document text column */ - "id_column": "the_column_with_the_unique_id_for_each_row", /* In general this will be your document id */ - "to": "the_column_to_output_the_entities_to", /* This will be a list[dict[str, Any]] a list of entities, with a name, and additional attributes */ - "graph_to": "the_column_to_output_the_graphml_to", /* Optional: This will be a graphml graph in string form which represents the entities and their relationships */ - "strategy": {...} , see strategies section below - "entity_types": ["list", "of", "entity", "types", "to", "extract"] /* Optional: This will limit the entity types extracted, default: ["organization", "person", "geo", "event"] */ - "summarize_descriptions" : true | false /* Optional: This will summarize the descriptions of the entities and relationships, default: true */ - } - } - ``` - ### yaml ```yaml - verb: entity_extract args: column: the_document_text_column_to_extract_entities_from id_column: the_column_with_the_unique_id_for_each_row to: the_column_to_output_the_entities_to - graph_to: the_column_to_output_the_graphml_to strategy: , see strategies section below summarize_descriptions: true | false /* Optional: This will summarize the descriptions of the entities and relationships, default: true */ entity_types: @@ -135,7 +115,6 @@ async def entity_extract( log.debug("entity_extract strategy=%s", strategy) if entity_types is None: entity_types = DEFAULT_ENTITY_TYPES - output = cast(pd.DataFrame, input.get_input()) strategy = strategy or {} strategy_exec = _load_strategy( strategy.get("type", ExtractEntityStrategyType.graph_intelligence) @@ -146,7 +125,7 @@ async def entity_extract( async def run_strategy(row): nonlocal num_started - text = row[column] + text = row[text_column] id = row[id_column] result = await strategy_exec( [Document(text=text, id=id)], @@ -156,45 +135,47 @@ async def run_strategy(row): strategy_config, ) num_started += 1 - return [result.entities, result.graphml_graph] + return [result.entities, result.graph] results = await derive_from_rows( - output, + input, run_strategy, callbacks, scheduling_type=async_mode, - num_threads=kwargs.get("num_threads", 4), + num_threads=num_threads, ) to_result = [] - graph_to_result = [] + graphs = [] for result in results: if result: to_result.append(result[0]) - graph_to_result.append(result[1]) + graphs.append(result[1]) else: to_result.append(None) - graph_to_result.append(None) + graphs.append(None) - output[to] = to_result - if graph_to is not None: - output[graph_to] = graph_to_result + input[to] = to_result - return TableContainer(table=output.reset_index(drop=True)) + return (input.reset_index(drop=True), graphs) def _load_strategy(strategy_type: ExtractEntityStrategyType) -> EntityExtractStrategy: """Load strategy method definition.""" match strategy_type: case ExtractEntityStrategyType.graph_intelligence: - from .strategies.graph_intelligence import run_gi + from graphrag.index.operations.extract_entities.strategies.graph_intelligence import ( + run_graph_intelligence, + ) - return run_gi + return run_graph_intelligence case ExtractEntityStrategyType.nltk: bootstrap() # dynamically import nltk strategy to avoid dependency if not used - from .strategies.nltk import run as run_nltk + from graphrag.index.operations.extract_entities.strategies.nltk import ( + run as run_nltk, + ) return run_nltk case _: diff --git a/graphrag/index/verbs/entities/extraction/strategies/__init__.py b/graphrag/index/operations/extract_entities/strategies/__init__.py similarity index 100% rename from graphrag/index/verbs/entities/extraction/strategies/__init__.py rename to graphrag/index/operations/extract_entities/strategies/__init__.py diff --git a/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/run_graph_intelligence.py b/graphrag/index/operations/extract_entities/strategies/graph_intelligence.py similarity index 77% rename from graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/run_graph_intelligence.py rename to graphrag/index/operations/extract_entities/strategies/graph_intelligence.py index 0628487983..18fcc97444 100644 --- a/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/run_graph_intelligence.py +++ b/graphrag/index/operations/extract_entities/strategies/graph_intelligence.py @@ -1,51 +1,47 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""A module containing run_gi, run_extract_entities and _create_text_splitter methods to run graph intelligence.""" +"""A module containing run_graph_intelligence, run_extract_entities and _create_text_splitter methods to run graph intelligence.""" -import networkx as nx from datashaper import VerbCallbacks import graphrag.config.defaults as defs -from graphrag.config.enums import LLMType -from graphrag.index.cache import PipelineCache -from graphrag.index.graph.extractors.graph import GraphExtractor -from graphrag.index.llm import load_llm -from graphrag.index.text_splitting import ( - NoopTextSplitter, - TextSplitter, - TokenTextSplitter, -) -from graphrag.index.verbs.entities.extraction.strategies.typing import ( +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.graph.extractors import GraphExtractor +from graphrag.index.llm.load_llm import load_llm +from graphrag.index.operations.extract_entities.strategies.typing import ( Document, EntityExtractionResult, EntityTypes, StrategyConfig, ) +from graphrag.index.text_splitting.text_splitting import ( + NoopTextSplitter, + TextSplitter, + TokenTextSplitter, +) from graphrag.llm import CompletionLLM -from .defaults import DEFAULT_LLM_CONFIG - -async def run_gi( +async def run_graph_intelligence( docs: list[Document], entity_types: EntityTypes, - reporter: VerbCallbacks, - pipeline_cache: PipelineCache, + callbacks: VerbCallbacks, + cache: PipelineCache, args: StrategyConfig, ) -> EntityExtractionResult: """Run the graph intelligence entity extraction strategy.""" - llm_config = args.get("llm", DEFAULT_LLM_CONFIG) - llm_type = llm_config.get("type", LLMType.StaticResponse) - llm = load_llm("entity_extraction", llm_type, reporter, pipeline_cache, llm_config) - return await run_extract_entities(llm, docs, entity_types, reporter, args) + llm_config = args.get("llm", {}) + llm_type = llm_config.get("type") + llm = load_llm("entity_extraction", llm_type, callbacks, cache, llm_config) + return await run_extract_entities(llm, docs, entity_types, callbacks, args) async def run_extract_entities( llm: CompletionLLM, docs: list[Document], entity_types: EntityTypes, - reporter: VerbCallbacks | None, + callbacks: VerbCallbacks | None, args: StrategyConfig, ) -> EntityExtractionResult: """Run the entity extraction chain.""" @@ -76,7 +72,7 @@ async def run_extract_entities( encoding_model=encoding_model, max_gleanings=max_gleanings, on_error=lambda e, s, d: ( - reporter.error("Entity Extraction Error", e, s, d) if reporter else None + callbacks.error("Entity Extraction Error", e, s, d) if callbacks else None ), ) text_list = [doc.text.strip() for doc in docs] @@ -115,8 +111,7 @@ async def run_extract_entities( if item is not None ] - graph_data = "".join(nx.generate_graphml(graph)) - return EntityExtractionResult(entities, graph_data) + return EntityExtractionResult(entities, graph) def _create_text_splitter( diff --git a/graphrag/index/verbs/entities/extraction/strategies/nltk.py b/graphrag/index/operations/extract_entities/strategies/nltk.py similarity index 85% rename from graphrag/index/verbs/entities/extraction/strategies/nltk.py rename to graphrag/index/operations/extract_entities/strategies/nltk.py index 48d4dae4ca..08f447004a 100644 --- a/graphrag/index/verbs/entities/extraction/strategies/nltk.py +++ b/graphrag/index/operations/extract_entities/strategies/nltk.py @@ -8,9 +8,13 @@ from datashaper import VerbCallbacks from nltk.corpus import words -from graphrag.index.cache import PipelineCache - -from .typing import Document, EntityExtractionResult, EntityTypes, StrategyConfig +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.operations.extract_entities.strategies.typing import ( + Document, + EntityExtractionResult, + EntityTypes, + StrategyConfig, +) # Need to do this cause we're potentially multithreading, and nltk doesn't like that words.ensure_loaded() @@ -19,8 +23,8 @@ async def run( # noqa RUF029 async is required for interface docs: list[Document], entity_types: EntityTypes, - reporter: VerbCallbacks, # noqa ARG001 - pipeline_cache: PipelineCache, # noqa ARG001 + callbacks: VerbCallbacks, # noqa ARG001 + cache: PipelineCache, # noqa ARG001 args: StrategyConfig, # noqa ARG001 ) -> EntityExtractionResult: """Run method definition.""" @@ -57,5 +61,5 @@ async def run( # noqa RUF029 async is required for interface {"type": entity_type, "name": name} for name, entity_type in entity_map.items() ], - graphml_graph="".join(nx.generate_graphml(graph)), + graph=graph, ) diff --git a/graphrag/index/verbs/entities/extraction/strategies/typing.py b/graphrag/index/operations/extract_entities/strategies/typing.py similarity index 88% rename from graphrag/index/verbs/entities/extraction/strategies/typing.py rename to graphrag/index/operations/extract_entities/strategies/typing.py index 45d3f1b80e..57df220d9b 100644 --- a/graphrag/index/verbs/entities/extraction/strategies/typing.py +++ b/graphrag/index/operations/extract_entities/strategies/typing.py @@ -7,9 +7,10 @@ from dataclasses import dataclass from typing import Any +import networkx as nx from datashaper import VerbCallbacks -from graphrag.index.cache import PipelineCache +from graphrag.index.cache.pipeline_cache import PipelineCache ExtractedEntity = dict[str, Any] StrategyConfig = dict[str, Any] @@ -29,7 +30,7 @@ class EntityExtractionResult: """Entity extraction result class definition.""" entities: list[ExtractedEntity] - graphml_graph: str | None + graph: nx.Graph | None EntityExtractStrategy = Callable[ diff --git a/graphrag/index/verbs/graph/layout/__init__.py b/graphrag/index/operations/layout_graph/__init__.py similarity index 67% rename from graphrag/index/verbs/graph/layout/__init__.py rename to graphrag/index/operations/layout_graph/__init__.py index 74584f83ed..7638c5a3f6 100644 --- a/graphrag/index/verbs/graph/layout/__init__.py +++ b/graphrag/index/operations/layout_graph/__init__.py @@ -3,6 +3,6 @@ """The Indexing Engine graph layout package root.""" -from .layout_graph import layout_graph +from graphrag.index.operations.layout_graph.layout_graph import layout_graph __all__ = ["layout_graph"] diff --git a/graphrag/index/verbs/graph/layout/layout_graph.py b/graphrag/index/operations/layout_graph/layout_graph.py similarity index 84% rename from graphrag/index/verbs/graph/layout/layout_graph.py rename to graphrag/index/operations/layout_graph/layout_graph.py index e1b55b1183..356511f4fd 100644 --- a/graphrag/index/verbs/graph/layout/layout_graph.py +++ b/graphrag/index/operations/layout_graph/layout_graph.py @@ -8,11 +8,11 @@ import networkx as nx import pandas as pd -from datashaper import TableContainer, VerbCallbacks, VerbInput, progress_callback, verb +from datashaper import VerbCallbacks, progress_callback from graphrag.index.graph.visualization import GraphLayout -from graphrag.index.utils import load_graph -from graphrag.index.verbs.graph.embed.typing import NodeEmbeddings +from graphrag.index.operations.embed_graph import NodeEmbeddings +from graphrag.index.utils.load_graph import load_graph class LayoutGraphStrategyType(str, Enum): @@ -26,23 +26,20 @@ def __repr__(self): return f'"{self.value}"' -@verb(name="layout_graph") def layout_graph( - input: VerbInput, + input_df: pd.DataFrame, callbacks: VerbCallbacks, strategy: dict[str, Any], embeddings_column: str, graph_column: str, to: str, graph_to: str | None = None, - **_kwargs: dict, -) -> TableContainer: +): """ Apply a layout algorithm to a graph. The graph is expected to be in graphml format. The verb outputs a new column containing the laid out graph. ## Usage ```yaml - verb: layout_graph args: graph_column: clustered_graph # The name of the column containing the graph, should be a graphml graph embeddings_column: embeddings # The name of the column containing the embeddings @@ -63,8 +60,7 @@ def layout_graph( min_dist: 0.75 # Optional, The min distance to use for the umap algorithm, default: 0.75 ``` """ - output_df = cast(pd.DataFrame, input.get_input()) - + output_df = input_df num_items = len(output_df) strategy_type = strategy.get("type", LayoutGraphStrategyType.umap) strategy_args = {**strategy} @@ -93,7 +89,7 @@ def layout_graph( ), axis=1, ) - return TableContainer(table=output_df) + return output_df def _run_layout( @@ -101,26 +97,30 @@ def _run_layout( graphml_or_graph: str | nx.Graph, embeddings: NodeEmbeddings, args: dict[str, Any], - reporter: VerbCallbacks, + callbacks: VerbCallbacks, ) -> GraphLayout: graph = load_graph(graphml_or_graph) match strategy: case LayoutGraphStrategyType.umap: - from .methods.umap import run as run_umap + from graphrag.index.operations.layout_graph.methods.umap import ( + run as run_umap, + ) return run_umap( graph, embeddings, args, - lambda e, stack, d: reporter.error("Error in Umap", e, stack, d), + lambda e, stack, d: callbacks.error("Error in Umap", e, stack, d), ) case LayoutGraphStrategyType.zero: - from .methods.zero import run as run_zero + from graphrag.index.operations.layout_graph.methods.zero import ( + run as run_zero, + ) return run_zero( graph, args, - lambda e, stack, d: reporter.error("Error in Zero", e, stack, d), + lambda e, stack, d: callbacks.error("Error in Zero", e, stack, d), ) case _: msg = f"Unknown strategy {strategy}" diff --git a/graphrag/index/verbs/graph/layout/methods/__init__.py b/graphrag/index/operations/layout_graph/methods/__init__.py similarity index 100% rename from graphrag/index/verbs/graph/layout/methods/__init__.py rename to graphrag/index/operations/layout_graph/methods/__init__.py diff --git a/graphrag/index/verbs/graph/layout/methods/umap.py b/graphrag/index/operations/layout_graph/methods/umap.py similarity index 97% rename from graphrag/index/verbs/graph/layout/methods/umap.py rename to graphrag/index/operations/layout_graph/methods/umap.py index a4bc7c2818..636fd9a670 100644 --- a/graphrag/index/verbs/graph/layout/methods/umap.py +++ b/graphrag/index/operations/layout_graph/methods/umap.py @@ -15,8 +15,8 @@ NodePosition, compute_umap_positions, ) +from graphrag.index.operations.embed_graph import NodeEmbeddings from graphrag.index.typing import ErrorHandlerFn -from graphrag.index.verbs.graph.embed.typing import NodeEmbeddings # TODO: This could be handled more elegantly, like what columns to use # for "size" or "cluster" diff --git a/graphrag/index/verbs/graph/layout/methods/zero.py b/graphrag/index/operations/layout_graph/methods/zero.py similarity index 100% rename from graphrag/index/verbs/graph/layout/methods/zero.py rename to graphrag/index/operations/layout_graph/methods/zero.py diff --git a/graphrag/index/operations/merge_graphs/__init__.py b/graphrag/index/operations/merge_graphs/__init__.py new file mode 100644 index 0000000000..f5f463520d --- /dev/null +++ b/graphrag/index/operations/merge_graphs/__init__.py @@ -0,0 +1,10 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""merge_graphs operation.""" + +from graphrag.index.operations.merge_graphs.merge_graphs import merge_graphs + +__all__ = [ + "merge_graphs", +] diff --git a/graphrag/index/verbs/graph/merge/merge_graphs.py b/graphrag/index/operations/merge_graphs/merge_graphs.py similarity index 84% rename from graphrag/index/verbs/graph/merge/merge_graphs.py rename to graphrag/index/operations/merge_graphs/merge_graphs.py index 8ab3fa47f7..9aee37cf3e 100644 --- a/graphrag/index/verbs/graph/merge/merge_graphs.py +++ b/graphrag/index/operations/merge_graphs/merge_graphs.py @@ -3,39 +3,42 @@ """A module containing merge_graphs, merge_nodes, merge_edges, merge_attributes, apply_merge_operation and _get_detailed_attribute_merge_operation methods definitions.""" -from typing import Any, cast +from typing import Any import networkx as nx -import pandas as pd -from datashaper import TableContainer, VerbCallbacks, VerbInput, progress_iterable, verb +from datashaper import VerbCallbacks, progress_iterable -from graphrag.index.utils import load_graph - -from .defaults import ( - DEFAULT_CONCAT_SEPARATOR, - DEFAULT_EDGE_OPERATIONS, - DEFAULT_NODE_OPERATIONS, -) -from .typing import ( +from graphrag.index.operations.merge_graphs.typing import ( BasicMergeOperation, DetailedAttributeMergeOperation, NumericOperation, StringOperation, ) +DEFAULT_NODE_OPERATIONS = { + "*": { + "operation": BasicMergeOperation.Replace, + } +} + +DEFAULT_EDGE_OPERATIONS = { + "*": { + "operation": BasicMergeOperation.Replace, + }, + "weight": "sum", +} + +DEFAULT_CONCAT_SEPARATOR = "," + -@verb(name="merge_graphs") def merge_graphs( - input: VerbInput, + graphs: list[nx.Graph], callbacks: VerbCallbacks, - column: str, - to: str, - nodes: dict[str, Any] = DEFAULT_NODE_OPERATIONS, - edges: dict[str, Any] = DEFAULT_EDGE_OPERATIONS, - **_kwargs, -) -> TableContainer: + node_operations: dict[str, Any] | None, + edge_operations: dict[str, Any] | None, +) -> nx.Graph: """ - Merge multiple graphs together. The graphs are expected to be in graphml format. The verb outputs a new column containing the merged graph. + Merge multiple graphs together. The graphs are expected to be in nx.Graph format. The verb outputs a new column containing the merged graph. > Note: This will merge all rows into a single graph. @@ -43,8 +46,6 @@ def merge_graphs( ```yaml verb: merge_graph args: - column: clustered_graph # The name of the column containing the graph, should be a graphml graph - to: merged_graph # The name of the column to output the merged graph to nodes: # See node operations section below edges: # See edge operations section below ``` @@ -82,9 +83,8 @@ def merge_graphs( - __average__: This operation takes the mean of the attribute with the last value seen. - __multiply__: This operation multiplies the attribute with the last value seen. """ - input_df = input.get_input() - output = pd.DataFrame() - + nodes = node_operations or DEFAULT_NODE_OPERATIONS + edges = edge_operations or DEFAULT_EDGE_OPERATIONS node_ops = { attrib: _get_detailed_attribute_merge_operation(value) for attrib, value in nodes.items() @@ -95,15 +95,12 @@ def merge_graphs( } mega_graph = nx.Graph() - num_total = len(input_df) - for graphml in progress_iterable(input_df[column], callbacks.progress, num_total): - graph = load_graph(cast(str | nx.Graph, graphml)) + num_total = len(graphs) + for graph in progress_iterable(graphs, callbacks.progress, num_total): merge_nodes(mega_graph, graph, node_ops) merge_edges(mega_graph, graph, edge_ops) - output[to] = ["\n".join(nx.generate_graphml(mega_graph))] - - return TableContainer(table=output) + return mega_graph def merge_nodes( @@ -129,7 +126,11 @@ def merge_edges( if not target_graph.has_edge(source, target): target_graph.add_edge(source, target, **(edge_data or {})) else: - merge_attributes(target_graph.edges[(source, target)], edge_data, edge_ops) + merge_attributes( + target_graph.edges[(source, target)], # noqa + edge_data, + edge_ops, + ) def merge_attributes( diff --git a/graphrag/index/verbs/graph/merge/typing.py b/graphrag/index/operations/merge_graphs/typing.py similarity index 100% rename from graphrag/index/verbs/graph/merge/typing.py rename to graphrag/index/operations/merge_graphs/typing.py diff --git a/graphrag/index/verbs/snapshot.py b/graphrag/index/operations/snapshot.py similarity index 50% rename from graphrag/index/verbs/snapshot.py rename to graphrag/index/operations/snapshot.py index a90fc2837b..7ae7f0ca09 100644 --- a/graphrag/index/verbs/snapshot.py +++ b/graphrag/index/operations/snapshot.py @@ -3,28 +3,22 @@ """A module containing snapshot method definition.""" -from datashaper import TableContainer, VerbInput, verb +import pandas as pd -from graphrag.index.storage import PipelineStorage +from graphrag.index.storage.pipeline_storage import PipelineStorage -@verb(name="snapshot") async def snapshot( - input: VerbInput, + input: pd.DataFrame, name: str, formats: list[str], storage: PipelineStorage, - **_kwargs: dict, -) -> TableContainer: +) -> None: """Take a entire snapshot of the tabular data.""" - data = input.get_input() - for fmt in formats: if fmt == "parquet": - await storage.set(name + ".parquet", data.to_parquet()) + await storage.set(f"{name}.parquet", input.to_parquet()) elif fmt == "json": await storage.set( - name + ".json", data.to_json(orient="records", lines=True) + f"{name}.json", input.to_json(orient="records", lines=True) ) - - return TableContainer(table=data) diff --git a/graphrag/index/operations/snapshot_graphml.py b/graphrag/index/operations/snapshot_graphml.py new file mode 100644 index 0000000000..feda376f97 --- /dev/null +++ b/graphrag/index/operations/snapshot_graphml.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing snapshot method definition.""" + +import networkx as nx + +from graphrag.index.storage.pipeline_storage import PipelineStorage + + +async def snapshot_graphml( + input: str | nx.Graph, + name: str, + storage: PipelineStorage, +) -> None: + """Take a entire snapshot of a graph to standard graphml format.""" + graphml = input if isinstance(input, str) else "\n".join(nx.generate_graphml(input)) + await storage.set(name + ".graphml", graphml) diff --git a/graphrag/index/verbs/snapshot_rows.py b/graphrag/index/operations/snapshot_rows.py similarity index 75% rename from graphrag/index/verbs/snapshot_rows.py rename to graphrag/index/operations/snapshot_rows.py index 99aae70a04..0050f98061 100644 --- a/graphrag/index/verbs/snapshot_rows.py +++ b/graphrag/index/operations/snapshot_rows.py @@ -7,9 +7,9 @@ from dataclasses import dataclass from typing import Any -from datashaper import TableContainer, VerbInput, verb +import pandas as pd -from graphrag.index.storage import PipelineStorage +from graphrag.index.storage.pipeline_storage import PipelineStorage @dataclass @@ -20,20 +20,17 @@ class FormatSpecifier: extension: str -@verb(name="snapshot_rows") async def snapshot_rows( - input: VerbInput, + input: pd.DataFrame, column: str | None, base_name: str, storage: PipelineStorage, formats: list[str | dict[str, Any]], row_name_column: str | None = None, - **_kwargs: dict, -) -> TableContainer: +) -> None: """Take a by-row snapshot of the tabular data.""" - data = input.get_input() parsed_formats = _parse_formats(formats) - num_rows = len(data) + num_rows = len(input) def get_row_name(row: Any, row_idx: Any): if row_name_column is None: @@ -42,16 +39,18 @@ def get_row_name(row: Any, row_idx: Any): return f"{base_name}.{row_idx}" return f"{base_name}.{row[row_name_column]}" - for row_idx, row in data.iterrows(): + for row_idx, row in input.iterrows(): for fmt in parsed_formats: row_name = get_row_name(row, row_idx) extension = fmt.extension if fmt.format == "json": await storage.set( f"{row_name}.{extension}", - json.dumps(row[column]) - if column is not None - else json.dumps(row.to_dict()), + ( + json.dumps(row[column], ensure_ascii=False) + if column is not None + else json.dumps(row.to_dict(), ensure_ascii=False) + ), ) elif fmt.format == "text": if column is None: @@ -59,15 +58,15 @@ def get_row_name(row: Any, row_idx: Any): raise ValueError(msg) await storage.set(f"{row_name}.{extension}", str(row[column])) - return TableContainer(table=data) - def _parse_formats(formats: list[str | dict[str, Any]]) -> list[FormatSpecifier]: """Parse the formats into a list of FormatSpecifiers.""" return [ - FormatSpecifier(**fmt) - if isinstance(fmt, dict) - else FormatSpecifier(format=fmt, extension=_get_format_extension(fmt)) + ( + FormatSpecifier(**fmt) + if isinstance(fmt, dict) + else FormatSpecifier(format=fmt, extension=_get_format_extension(fmt)) + ) for fmt in formats ] diff --git a/graphrag/index/operations/summarize_communities/__init__.py b/graphrag/index/operations/summarize_communities/__init__.py new file mode 100644 index 0000000000..6b74b9f3a9 --- /dev/null +++ b/graphrag/index/operations/summarize_communities/__init__.py @@ -0,0 +1,24 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Community summarization modules.""" + +from graphrag.index.operations.summarize_communities.prepare_community_reports import ( + prepare_community_reports, +) +from graphrag.index.operations.summarize_communities.restore_community_hierarchy import ( + restore_community_hierarchy, +) +from graphrag.index.operations.summarize_communities.summarize_communities import ( + summarize_communities, +) +from graphrag.index.operations.summarize_communities.typing import ( + CreateCommunityReportsStrategyType, +) + +__all__ = [ + "CreateCommunityReportsStrategyType", + "prepare_community_reports", + "restore_community_hierarchy", + "summarize_communities", +] diff --git a/graphrag/index/verbs/graph/report/prepare_community_reports.py b/graphrag/index/operations/summarize_communities/prepare_community_reports.py similarity index 87% rename from graphrag/index/verbs/graph/report/prepare_community_reports.py rename to graphrag/index/operations/summarize_communities/prepare_community_reports.py index 3c9ebd451a..b402e6afc8 100644 --- a/graphrag/index/verbs/graph/report/prepare_community_reports.py +++ b/graphrag/index/operations/summarize_communities/prepare_community_reports.py @@ -8,11 +8,8 @@ import pandas as pd from datashaper import ( - TableContainer, VerbCallbacks, - VerbInput, progress_iterable, - verb, ) import graphrag.index.graph.extractors.community_reports.schemas as schemas @@ -25,37 +22,29 @@ set_context_size, sort_context, ) -from graphrag.index.utils.ds_util import get_named_input_table, get_required_input_table log = logging.getLogger(__name__) -@verb(name="prepare_community_reports") def prepare_community_reports( - input: VerbInput, + nodes, + edges, + claims, callbacks: VerbCallbacks, max_tokens: int = 16_000, - **_kwargs, -) -> TableContainer: - """Generate entities for each row, and optionally a graph of those entities.""" - # Prepare Community Reports - node_df = cast(pd.DataFrame, get_required_input_table(input, "nodes").table) - edge_df = cast(pd.DataFrame, get_required_input_table(input, "edges").table) - claim_df = get_named_input_table(input, "claims") - if claim_df is not None: - claim_df = cast(pd.DataFrame, claim_df.table) - - levels = get_levels(node_df, schemas.NODE_LEVEL) +): + """Prep communities for report generation.""" + levels = get_levels(nodes, schemas.NODE_LEVEL) dfs = [] for level in progress_iterable(levels, callbacks.progress, len(levels)): communities_at_level_df = _prepare_reports_at_level( - node_df, edge_df, claim_df, level, max_tokens + nodes, edges, claims, level, max_tokens ) dfs.append(communities_at_level_df) # build initial local context for all communities - return TableContainer(table=pd.concat(dfs)) + return pd.concat(dfs) def _prepare_reports_at_level( @@ -184,4 +173,7 @@ def get_edge_details(node_df: pd.DataFrame, edge_df: pd.DataFrame, name_col: str set_context_exceeds_flag(community_df, max_tokens) community_df[schemas.COMMUNITY_LEVEL] = level + community_df[node_community_column] = community_df[node_community_column].astype( + int + ) return community_df diff --git a/graphrag/index/verbs/graph/report/restore_community_hierarchy.py b/graphrag/index/operations/summarize_communities/restore_community_hierarchy.py similarity index 80% rename from graphrag/index/verbs/graph/report/restore_community_hierarchy.py rename to graphrag/index/operations/summarize_communities/restore_community_hierarchy.py index 437369f0e5..2430472abd 100644 --- a/graphrag/index/verbs/graph/report/restore_community_hierarchy.py +++ b/graphrag/index/operations/summarize_communities/restore_community_hierarchy.py @@ -4,28 +4,23 @@ """A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition.""" import logging -from typing import cast import pandas as pd -from datashaper import TableContainer, VerbInput, verb import graphrag.index.graph.extractors.community_reports.schemas as schemas log = logging.getLogger(__name__) -@verb(name="restore_community_hierarchy") def restore_community_hierarchy( - input: VerbInput, + input: pd.DataFrame, name_column: str = schemas.NODE_NAME, community_column: str = schemas.NODE_COMMUNITY, level_column: str = schemas.NODE_LEVEL, - **_kwargs, -) -> TableContainer: +) -> pd.DataFrame: """Restore the community hierarchy from the node data.""" - node_df: pd.DataFrame = cast(pd.DataFrame, input.get_input()) community_df = ( - node_df.groupby([community_column, level_column]) + input.groupby([community_column, level_column]) .agg({name_column: list}) .reset_index() ) @@ -41,20 +36,13 @@ def restore_community_hierarchy( # get unique levels, sorted in ascending order levels = sorted(community_levels.keys()) - community_hierarchy = [] for idx in range(len(levels) - 1): level = levels[idx] - log.debug("Level: %s", level) next_level = levels[idx + 1] current_level_communities = community_levels[level] next_level_communities = community_levels[next_level] - log.debug( - "Number of communities at level %s: %s", - level, - len(current_level_communities), - ) for current_community in current_level_communities: current_entities = current_level_communities[current_community] @@ -75,4 +63,6 @@ def restore_community_hierarchy( if entities_found == len(current_entities): break - return TableContainer(table=pd.DataFrame(community_hierarchy)) + return pd.DataFrame( + community_hierarchy, + ) diff --git a/graphrag/index/verbs/graph/report/strategies/graph_intelligence/run_graph_intelligence.py b/graphrag/index/operations/summarize_communities/strategies.py similarity index 73% rename from graphrag/index/verbs/graph/report/strategies/graph_intelligence/run_graph_intelligence.py rename to graphrag/index/operations/summarize_communities/strategies.py index 2f47fa8858..33900a9852 100644 --- a/graphrag/index/verbs/graph/report/strategies/graph_intelligence/run_graph_intelligence.py +++ b/graphrag/index/operations/summarize_communities/strategies.py @@ -9,41 +9,36 @@ from datashaper import VerbCallbacks -from graphrag.config.enums import LLMType -from graphrag.index.cache import PipelineCache +from graphrag.index.cache.pipeline_cache import PipelineCache from graphrag.index.graph.extractors.community_reports import ( CommunityReportsExtractor, ) -from graphrag.index.llm import load_llm -from graphrag.index.utils.rate_limiter import RateLimiter -from graphrag.index.verbs.graph.report.strategies.typing import ( +from graphrag.index.llm.load_llm import load_llm +from graphrag.index.operations.summarize_communities.typing import ( CommunityReport, StrategyConfig, ) +from graphrag.index.utils.rate_limiter import RateLimiter from graphrag.llm import CompletionLLM -from .defaults import MOCK_RESPONSES +DEFAULT_CHUNK_SIZE = 3000 log = logging.getLogger(__name__) -async def run( +async def run_graph_intelligence( community: str | int, input: str, level: int, - reporter: VerbCallbacks, - pipeline_cache: PipelineCache, + callbacks: VerbCallbacks, + cache: PipelineCache, args: StrategyConfig, ) -> CommunityReport | None: """Run the graph intelligence entity extraction strategy.""" - llm_config = args.get( - "llm", {"type": LLMType.StaticResponse, "responses": MOCK_RESPONSES} - ) - llm_type = llm_config.get("type", LLMType.StaticResponse) - llm = load_llm( - "community_reporting", llm_type, reporter, pipeline_cache, llm_config - ) - return await _run_extractor(llm, community, input, level, args, reporter) + llm_config = args.get("llm", {}) + llm_type = llm_config.get("type") + llm = load_llm("community_reporting", llm_type, callbacks, cache, llm_config) + return await _run_extractor(llm, community, input, level, args, callbacks) async def _run_extractor( @@ -52,7 +47,7 @@ async def _run_extractor( input: str, level: int, args: StrategyConfig, - reporter: VerbCallbacks, + callbacks: VerbCallbacks, ) -> CommunityReport | None: # RateLimiter rate_limiter = RateLimiter(rate=1, per=60) @@ -60,7 +55,7 @@ async def _run_extractor( llm, extraction_prompt=args.get("extraction_prompt", None), max_report_length=args.get("max_report_length", None), - on_error=lambda e, stack, _data: reporter.error( + on_error=lambda e, stack, _data: callbacks.error( "Community Report Extraction Error", e, stack ), ) @@ -82,11 +77,11 @@ async def _run_extractor( rank_explanation=report.get("rating_explanation", ""), summary=report.get("summary", ""), findings=report.get("findings", []), - full_content_json=json.dumps(report, indent=4), + full_content_json=json.dumps(report, indent=4, ensure_ascii=False), ) except Exception as e: log.exception("Error processing community: %s", community) - reporter.error("Community Report Extraction Error", e, traceback.format_exc()) + callbacks.error("Community Report Extraction Error", e, traceback.format_exc()) return None diff --git a/graphrag/index/verbs/graph/report/create_community_reports.py b/graphrag/index/operations/summarize_communities/summarize_communities.py similarity index 68% rename from graphrag/index/verbs/graph/report/create_community_reports.py rename to graphrag/index/operations/summarize_communities/summarize_communities.py index c67d5107e8..de35981d0a 100644 --- a/graphrag/index/verbs/graph/report/create_community_reports.py +++ b/graphrag/index/operations/summarize_communities/summarize_communities.py @@ -4,63 +4,43 @@ """A module containing create_community_reports and load_strategy methods definition.""" import logging -from enum import Enum -from typing import cast import pandas as pd from datashaper import ( AsyncType, NoopVerbCallbacks, - TableContainer, VerbCallbacks, - VerbInput, derive_from_rows, progress_ticker, - verb, ) import graphrag.config.defaults as defaults import graphrag.index.graph.extractors.community_reports.schemas as schemas -from graphrag.index.cache import PipelineCache +from graphrag.index.cache.pipeline_cache import PipelineCache from graphrag.index.graph.extractors.community_reports import ( get_levels, prep_community_report_context, ) -from graphrag.index.utils.ds_util import get_required_input_table - -from .strategies.typing import CommunityReport, CommunityReportsStrategy +from graphrag.index.operations.summarize_communities.typing import ( + CommunityReport, + CommunityReportsStrategy, + CreateCommunityReportsStrategyType, +) log = logging.getLogger(__name__) -class CreateCommunityReportsStrategyType(str, Enum): - """CreateCommunityReportsStrategyType class definition.""" - - graph_intelligence = "graph_intelligence" - - def __repr__(self): - """Get a string representation.""" - return f'"{self.value}"' - - -@verb(name="create_community_reports") -async def create_community_reports( - input: VerbInput, +async def summarize_communities( + local_contexts, + nodes, + community_hierarchy, callbacks: VerbCallbacks, cache: PipelineCache, strategy: dict, async_mode: AsyncType = AsyncType.AsyncIO, num_threads: int = 4, - **_kwargs, -) -> TableContainer: - """Generate entities for each row, and optionally a graph of those entities.""" - log.debug("create_community_reports strategy=%s", strategy) - local_contexts = cast(pd.DataFrame, input.get_input()) - nodes_ctr = get_required_input_table(input, "nodes") - nodes = cast(pd.DataFrame, nodes_ctr.table) - community_hierarchy_ctr = get_required_input_table(input, "community_hierarchy") - community_hierarchy = cast(pd.DataFrame, community_hierarchy_ctr.table) - +): + """Generate community summaries.""" levels = get_levels(nodes) reports: list[CommunityReport | None] = [] tick = progress_ticker(callbacks.progress, len(local_contexts)) @@ -83,8 +63,8 @@ async def run_generate(record): community_id=record[schemas.NODE_COMMUNITY], community_level=record[schemas.COMMUNITY_LEVEL], community_context=record[schemas.CONTEXT_STRING], - cache=cache, callbacks=callbacks, + cache=cache, strategy=strategy, ) tick() @@ -99,15 +79,15 @@ async def run_generate(record): ) reports.extend([lr for lr in local_reports if lr is not None]) - return TableContainer(table=pd.DataFrame(reports)) + return pd.DataFrame(reports) async def _generate_report( runner: CommunityReportsStrategy, - cache: PipelineCache, callbacks: VerbCallbacks, + cache: PipelineCache, strategy: dict, - community_id: int | str, + community_id: int, community_level: int, community_context: str, ) -> CommunityReport | None: @@ -123,9 +103,11 @@ def load_strategy( """Load strategy method definition.""" match strategy: case CreateCommunityReportsStrategyType.graph_intelligence: - from .strategies.graph_intelligence import run + from graphrag.index.operations.summarize_communities.strategies import ( + run_graph_intelligence, + ) - return run + return run_graph_intelligence case _: msg = f"Unknown strategy: {strategy}" raise ValueError(msg) diff --git a/graphrag/index/verbs/graph/report/strategies/typing.py b/graphrag/index/operations/summarize_communities/typing.py similarity index 74% rename from graphrag/index/verbs/graph/report/strategies/typing.py rename to graphrag/index/operations/summarize_communities/typing.py index 087c724702..46a1a09573 100644 --- a/graphrag/index/verbs/graph/report/strategies/typing.py +++ b/graphrag/index/operations/summarize_communities/typing.py @@ -4,12 +4,13 @@ """A module containing 'Finding' and 'CommunityReport' models.""" from collections.abc import Awaitable, Callable +from enum import Enum from typing import Any from datashaper import VerbCallbacks from typing_extensions import TypedDict -from graphrag.index.cache import PipelineCache +from graphrag.index.cache.pipeline_cache import PipelineCache ExtractedEntity = dict[str, Any] StrategyConfig = dict[str, Any] @@ -50,3 +51,13 @@ class CommunityReport(TypedDict): ], Awaitable[CommunityReport | None], ] + + +class CreateCommunityReportsStrategyType(str, Enum): + """CreateCommunityReportsStrategyType class definition.""" + + graph_intelligence = "graph_intelligence" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' diff --git a/graphrag/index/operations/summarize_descriptions/__init__.py b/graphrag/index/operations/summarize_descriptions/__init__.py new file mode 100644 index 0000000000..1b67f6dc72 --- /dev/null +++ b/graphrag/index/operations/summarize_descriptions/__init__.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Root package for description summarization.""" + +from graphrag.index.operations.summarize_descriptions.summarize_descriptions import ( + summarize_descriptions, +) +from graphrag.index.operations.summarize_descriptions.typing import ( + SummarizationStrategy, + SummarizeStrategyType, +) + +__all__ = [ + "SummarizationStrategy", + "SummarizeStrategyType", + "summarize_descriptions", +] diff --git a/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/run_graph_intelligence.py b/graphrag/index/operations/summarize_descriptions/strategies.py similarity index 65% rename from graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/run_graph_intelligence.py rename to graphrag/index/operations/summarize_descriptions/strategies.py index 57a1ecd218..fd6ea5a849 100644 --- a/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/run_graph_intelligence.py +++ b/graphrag/index/operations/summarize_descriptions/strategies.py @@ -1,38 +1,33 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""A module containing run_gi, run_resolve_entities and _create_text_list_splitter methods to run graph intelligence.""" +"""A module containing run_graph_intelligence, run_resolve_entities and _create_text_list_splitter methods to run graph intelligence.""" from datashaper import VerbCallbacks -from graphrag.config.enums import LLMType -from graphrag.index.cache import PipelineCache +from graphrag.index.cache.pipeline_cache import PipelineCache from graphrag.index.graph.extractors.summarize import SummarizeExtractor -from graphrag.index.llm import load_llm -from graphrag.index.verbs.entities.summarize.strategies.typing import ( +from graphrag.index.llm.load_llm import load_llm +from graphrag.index.operations.summarize_descriptions.typing import ( StrategyConfig, SummarizedDescriptionResult, ) from graphrag.llm import CompletionLLM -from .defaults import DEFAULT_LLM_CONFIG - -async def run( +async def run_graph_intelligence( described_items: str | tuple[str, str], descriptions: list[str], - reporter: VerbCallbacks, - pipeline_cache: PipelineCache, + callbacks: VerbCallbacks, + cache: PipelineCache, args: StrategyConfig, ) -> SummarizedDescriptionResult: """Run the graph intelligence entity extraction strategy.""" - llm_config = args.get("llm", DEFAULT_LLM_CONFIG) - llm_type = llm_config.get("type", LLMType.StaticResponse) - llm = load_llm( - "summarize_descriptions", llm_type, reporter, pipeline_cache, llm_config - ) + llm_config = args.get("llm", {}) + llm_type = llm_config.get("type") + llm = load_llm("summarize_descriptions", llm_type, callbacks, cache, llm_config) return await run_summarize_descriptions( - llm, described_items, descriptions, reporter, args + llm, described_items, descriptions, callbacks, args ) @@ -40,7 +35,7 @@ async def run_summarize_descriptions( llm: CompletionLLM, items: str | tuple[str, str], descriptions: list[str], - reporter: VerbCallbacks, + callbacks: VerbCallbacks, args: StrategyConfig, ) -> SummarizedDescriptionResult: """Run the entity extraction chain.""" @@ -56,8 +51,8 @@ async def run_summarize_descriptions( entity_name_key=entity_name_key, input_descriptions_key=input_descriptions_key, on_error=lambda e, stack, details: ( - reporter.error("Entity Extraction Error", e, stack, details) - if reporter + callbacks.error("Entity Extraction Error", e, stack, details) + if callbacks else None ), max_summary_length=args.get("max_summary_length", None), diff --git a/graphrag/index/verbs/entities/summarize/description_summarize.py b/graphrag/index/operations/summarize_descriptions/summarize_descriptions.py similarity index 62% rename from graphrag/index/verbs/entities/summarize/description_summarize.py rename to graphrag/index/operations/summarize_descriptions/summarize_descriptions.py index 5b7feb4184..612f2c6795 100644 --- a/graphrag/index/verbs/entities/summarize/description_summarize.py +++ b/graphrag/index/operations/summarize_descriptions/summarize_descriptions.py @@ -5,54 +5,31 @@ import asyncio import logging -from enum import Enum -from typing import Any, NamedTuple, cast +from typing import Any import networkx as nx -import pandas as pd from datashaper import ( ProgressTicker, - TableContainer, VerbCallbacks, - VerbInput, progress_ticker, - verb, ) -from graphrag.index.cache import PipelineCache -from graphrag.index.utils import load_graph - -from .strategies.typing import SummarizationStrategy +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.operations.summarize_descriptions.typing import ( + SummarizationStrategy, + SummarizeStrategyType, +) log = logging.getLogger(__name__) -class DescriptionSummarizeRow(NamedTuple): - """DescriptionSummarizeRow class definition.""" - - graph: Any - - -class SummarizeStrategyType(str, Enum): - """SummarizeStrategyType class definition.""" - - graph_intelligence = "graph_intelligence" - - def __repr__(self): - """Get a string representation.""" - return f'"{self.value}"' - - -@verb(name="summarize_descriptions") async def summarize_descriptions( - input: VerbInput, - cache: PipelineCache, + input: nx.Graph, callbacks: VerbCallbacks, - column: str, - to: str, + cache: PipelineCache, strategy: dict[str, Any] | None = None, - **kwargs, -) -> TableContainer: + num_threads: int = 4, +) -> nx.Graph: """ Summarize entity and relationship descriptions from an entity graph. @@ -60,26 +37,10 @@ async def summarize_descriptions( To turn this feature ON please set the environment variable `GRAPHRAG_SUMMARIZE_DESCRIPTIONS_ENABLED=True`. - ### json - - ```json - { - "verb": "", - "args": { - "column": "the_document_text_column_to_extract_descriptions_from", /* Required: This will be a graphml graph in string form which represents the entities and their relationships */ - "to": "the_column_to_output_the_summarized_descriptions_to", /* Required: This will be a graphml graph in string form which represents the entities and their relationships after being summarized */ - "strategy": {...} , see strategies section below - } - } - ``` - ### yaml ```yaml - verb: entity_extract args: - column: the_document_text_column_to_extract_descriptions_from - to: the_column_to_output_the_summarized_descriptions_to strategy: , see strategies section below ``` @@ -111,16 +72,13 @@ async def summarize_descriptions( ``` """ log.debug("summarize_descriptions strategy=%s", strategy) - output = cast(pd.DataFrame, input.get_input()) strategy = strategy or {} strategy_exec = load_strategy( strategy.get("type", SummarizeStrategyType.graph_intelligence) ) strategy_config = {**strategy} - async def get_resolved_entities(row, semaphore: asyncio.Semaphore): - graph: nx.Graph = load_graph(cast(str | nx.Graph, getattr(row, column))) - + async def get_resolved_entities(graph: nx.Graph, semaphore: asyncio.Semaphore): ticker_length = len(graph.nodes) + len(graph.edges) ticker = progress_ticker(callbacks.progress, ticker_length) @@ -153,9 +111,7 @@ async def get_resolved_entities(row, semaphore: asyncio.Semaphore): elif isinstance(graph_item, tuple) and graph_item in graph.edges(): graph.edges[graph_item]["description"] = result.description - return DescriptionSummarizeRow( - graph="\n".join(nx.generate_graphml(graph)), - ) + return graph async def do_summarize_descriptions( graph_item: str | tuple[str, str], @@ -174,34 +130,20 @@ async def do_summarize_descriptions( ticker(1) return results - # Graph is always on row 0, so here a derive from rows does not work - # This iteration will only happen once, but avoids hardcoding a iloc[0] - # Since parallelization is at graph level (nodes and edges), we can't use - # the parallelization of the derive_from_rows - semaphore = asyncio.Semaphore(kwargs.get("num_threads", 4)) - - results = [ - await get_resolved_entities(row, semaphore) for row in output.itertuples() - ] + semaphore = asyncio.Semaphore(num_threads) - to_result = [] - - for result in results: - if result: - to_result.append(result.graph) - else: - to_result.append(None) - output[to] = to_result - return TableContainer(table=output) + return await get_resolved_entities(input, semaphore) def load_strategy(strategy_type: SummarizeStrategyType) -> SummarizationStrategy: """Load strategy method definition.""" match strategy_type: case SummarizeStrategyType.graph_intelligence: - from .strategies.graph_intelligence import run as run_gi + from graphrag.index.operations.summarize_descriptions.strategies import ( + run_graph_intelligence, + ) - return run_gi + return run_graph_intelligence case _: msg = f"Unknown strategy: {strategy_type}" raise ValueError(msg) diff --git a/graphrag/index/verbs/entities/summarize/strategies/typing.py b/graphrag/index/operations/summarize_descriptions/typing.py similarity index 53% rename from graphrag/index/verbs/entities/summarize/strategies/typing.py rename to graphrag/index/operations/summarize_descriptions/typing.py index e950cedc10..c7ba9ceb74 100644 --- a/graphrag/index/verbs/entities/summarize/strategies/typing.py +++ b/graphrag/index/operations/summarize_descriptions/typing.py @@ -1,15 +1,16 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""A module containing 'ResolvedEntity' and 'EntityResolutionResult' models.""" +"""A module containing 'SummarizedDescriptionResult' model.""" from collections.abc import Awaitable, Callable from dataclasses import dataclass -from typing import Any +from enum import Enum +from typing import Any, NamedTuple from datashaper import VerbCallbacks -from graphrag.index.cache import PipelineCache +from graphrag.index.cache.pipeline_cache import PipelineCache StrategyConfig = dict[str, Any] @@ -32,3 +33,19 @@ class SummarizedDescriptionResult: ], Awaitable[SummarizedDescriptionResult], ] + + +class DescriptionSummarizeRow(NamedTuple): + """DescriptionSummarizeRow class definition.""" + + graph: Any + + +class SummarizeStrategyType(str, Enum): + """SummarizeStrategyType class definition.""" + + graph_intelligence = "graph_intelligence" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' diff --git a/graphrag/index/verbs/graph/unpack.py b/graphrag/index/operations/unpack_graph.py similarity index 65% rename from graphrag/index/verbs/graph/unpack.py rename to graphrag/index/operations/unpack_graph.py index ffb7f4b0a2..f64ce43e0b 100644 --- a/graphrag/index/verbs/graph/unpack.py +++ b/graphrag/index/operations/unpack_graph.py @@ -7,39 +7,25 @@ import networkx as nx import pandas as pd -from datashaper import TableContainer, VerbCallbacks, VerbInput, progress_iterable, verb +from datashaper import VerbCallbacks, progress_iterable -from graphrag.index.utils import load_graph +from graphrag.index.utils.load_graph import load_graph default_copy = ["level"] -@verb(name="unpack_graph") def unpack_graph( - input: VerbInput, + input_df: pd.DataFrame, callbacks: VerbCallbacks, column: str, type: str, # noqa A002 copy: list[str] | None = None, embeddings_column: str = "embeddings", - **kwargs, -) -> TableContainer: - """ - Unpack nodes or edges from a graphml graph, into a list of nodes or edges. - - This verb will create columns for each attribute in a node or edge. - - ## Usage - ```yaml - verb: unpack_graph - args: - type: node # The type of data to unpack, one of: node, edge. node will create a node list, edge will create an edge list - column: # The name of the column containing the graph, should be a graphml graph - ``` - """ +) -> pd.DataFrame: + """Unpack nodes or edges from a graphml graph, into a list of nodes or edges.""" if copy is None: copy = default_copy - input_df = input.get_input() + num_total = len(input_df) result = [] copy = [col for col in copy if col in input_df.columns] @@ -60,31 +46,28 @@ def unpack_graph( cast(str | nx.Graph, row[column]), type, embeddings, - kwargs, ) ]) - output_df = pd.DataFrame(result) - return TableContainer(table=output_df) + return pd.DataFrame(result) def _run_unpack( graphml_or_graph: str | nx.Graph, unpack_type: str, embeddings: dict[str, list[float]], - args: dict[str, Any], ) -> list[dict[str, Any]]: graph = load_graph(graphml_or_graph) if unpack_type == "nodes": - return _unpack_nodes(graph, embeddings, args) + return _unpack_nodes(graph, embeddings) if unpack_type == "edges": - return _unpack_edges(graph, args) + return _unpack_edges(graph) msg = f"Unknown type {unpack_type}" raise ValueError(msg) def _unpack_nodes( - graph: nx.Graph, embeddings: dict[str, list[float]], _args: dict[str, Any] + graph: nx.Graph, embeddings: dict[str, list[float]] ) -> list[dict[str, Any]]: return [ { @@ -96,7 +79,7 @@ def _unpack_nodes( ] -def _unpack_edges(graph: nx.Graph, _args: dict[str, Any]) -> list[dict[str, Any]]: +def _unpack_edges(graph: nx.Graph) -> list[dict[str, Any]]: return [ { "source": source_id, diff --git a/graphrag/index/progress/__init__.py b/graphrag/index/progress/__init__.py deleted file mode 100644 index df6a21523d..0000000000 --- a/graphrag/index/progress/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Progress-reporting components.""" - -from .types import NullProgressReporter, PrintProgressReporter, ProgressReporter - -__all__ = ["NullProgressReporter", "PrintProgressReporter", "ProgressReporter"] diff --git a/graphrag/index/progress/types.py b/graphrag/index/progress/types.py deleted file mode 100644 index 2912155ed1..0000000000 --- a/graphrag/index/progress/types.py +++ /dev/null @@ -1,128 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Types for status reporting.""" - -from abc import ABC, abstractmethod - -from datashaper import Progress - - -class ProgressReporter(ABC): - """ - Abstract base class for progress reporters. - - This is used to report workflow processing progress via mechanisms like progress-bars. - """ - - @abstractmethod - def __call__(self, update: Progress): - """Update progress.""" - - @abstractmethod - def dispose(self): - """Dispose of the progress reporter.""" - - @abstractmethod - def child(self, prefix: str, transient=True) -> "ProgressReporter": - """Create a child progress bar.""" - - @abstractmethod - def force_refresh(self) -> None: - """Force a refresh.""" - - @abstractmethod - def stop(self) -> None: - """Stop the progress reporter.""" - - @abstractmethod - def error(self, message: str) -> None: - """Report an error.""" - - @abstractmethod - def warning(self, message: str) -> None: - """Report a warning.""" - - @abstractmethod - def info(self, message: str) -> None: - """Report information.""" - - @abstractmethod - def success(self, message: str) -> None: - """Report success.""" - - -class NullProgressReporter(ProgressReporter): - """A progress reporter that does nothing.""" - - def __call__(self, update: Progress) -> None: - """Update progress.""" - - def dispose(self) -> None: - """Dispose of the progress reporter.""" - - def child(self, prefix: str, transient: bool = True) -> ProgressReporter: - """Create a child progress bar.""" - return self - - def force_refresh(self) -> None: - """Force a refresh.""" - - def stop(self) -> None: - """Stop the progress reporter.""" - - def error(self, message: str) -> None: - """Report an error.""" - - def warning(self, message: str) -> None: - """Report a warning.""" - - def info(self, message: str) -> None: - """Report information.""" - - def success(self, message: str) -> None: - """Report success.""" - - -class PrintProgressReporter(ProgressReporter): - """A progress reporter that does nothing.""" - - prefix: str - - def __init__(self, prefix: str): - """Create a new progress reporter.""" - self.prefix = prefix - print(f"\n{self.prefix}", end="") # noqa T201 - - def __call__(self, update: Progress) -> None: - """Update progress.""" - print(".", end="") # noqa T201 - - def dispose(self) -> None: - """Dispose of the progress reporter.""" - - def child(self, prefix: str, transient: bool = True) -> "ProgressReporter": - """Create a child progress bar.""" - return PrintProgressReporter(prefix) - - def stop(self) -> None: - """Stop the progress reporter.""" - - def force_refresh(self) -> None: - """Force a refresh.""" - - def error(self, message: str) -> None: - """Report an error.""" - print(f"\n{self.prefix}ERROR: {message}") # noqa T201 - - def warning(self, message: str) -> None: - """Report a warning.""" - print(f"\n{self.prefix}WARNING: {message}") # noqa T201 - - def info(self, message: str) -> None: - """Report information.""" - print(f"\n{self.prefix}INFO: {message}") # noqa T201 - - def success(self, message: str) -> None: - """Report success.""" - print(f"\n{self.prefix}SUCCESS: {message}") # noqa T201 diff --git a/graphrag/index/reporting/__init__.py b/graphrag/index/reporting/__init__.py deleted file mode 100644 index 697d4fc51f..0000000000 --- a/graphrag/index/reporting/__init__.py +++ /dev/null @@ -1,18 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Reporting utilities and implementations for the indexing engine.""" - -from .blob_workflow_callbacks import BlobWorkflowCallbacks -from .console_workflow_callbacks import ConsoleWorkflowCallbacks -from .file_workflow_callbacks import FileWorkflowCallbacks -from .load_pipeline_reporter import load_pipeline_reporter -from .progress_workflow_callbacks import ProgressWorkflowCallbacks - -__all__ = [ - "BlobWorkflowCallbacks", - "ConsoleWorkflowCallbacks", - "FileWorkflowCallbacks", - "ProgressWorkflowCallbacks", - "load_pipeline_reporter", -] diff --git a/graphrag/index/run.py b/graphrag/index/run.py deleted file mode 100644 index 94a519de87..0000000000 --- a/graphrag/index/run.py +++ /dev/null @@ -1,463 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Different methods to run the pipeline.""" - -import gc -import json -import logging -import time -import traceback -from collections.abc import AsyncIterable -from dataclasses import asdict -from io import BytesIO -from pathlib import Path -from string import Template -from typing import cast - -import pandas as pd -from datashaper import ( - DEFAULT_INPUT_NAME, - MemoryProfile, - Workflow, - WorkflowCallbacks, - WorkflowCallbacksManager, - WorkflowRunResult, -) - -from .cache import InMemoryCache, PipelineCache, load_cache -from .config import ( - PipelineBlobCacheConfig, - PipelineBlobReportingConfig, - PipelineBlobStorageConfig, - PipelineCacheConfigTypes, - PipelineConfig, - PipelineFileCacheConfig, - PipelineFileReportingConfig, - PipelineFileStorageConfig, - PipelineInputConfigTypes, - PipelineMemoryCacheConfig, - PipelineReportingConfigTypes, - PipelineStorageConfigTypes, - PipelineWorkflowReference, - PipelineWorkflowStep, -) -from .context import PipelineRunContext, PipelineRunStats -from .emit import TableEmitterType, create_table_emitters -from .input import load_input -from .load_pipeline_config import load_pipeline_config -from .progress import NullProgressReporter, ProgressReporter -from .reporting import ( - ConsoleWorkflowCallbacks, - ProgressWorkflowCallbacks, - load_pipeline_reporter, -) -from .storage import MemoryPipelineStorage, PipelineStorage, load_storage -from .typing import PipelineRunResult - -# Register all verbs -from .verbs import * # noqa -from .workflows import ( - VerbDefinitions, - WorkflowDefinitions, - create_workflow, - load_workflows, -) - -log = logging.getLogger(__name__) - - -async def run_pipeline_with_config( - config_or_path: PipelineConfig | str, - workflows: list[PipelineWorkflowReference] | None = None, - dataset: pd.DataFrame | None = None, - storage: PipelineStorage | None = None, - cache: PipelineCache | None = None, - callbacks: WorkflowCallbacks | None = None, - progress_reporter: ProgressReporter | None = None, - input_post_process_steps: list[PipelineWorkflowStep] | None = None, - additional_verbs: VerbDefinitions | None = None, - additional_workflows: WorkflowDefinitions | None = None, - emit: list[TableEmitterType] | None = None, - memory_profile: bool = False, - run_id: str | None = None, - is_resume_run: bool = False, - **_kwargs: dict, -) -> AsyncIterable[PipelineRunResult]: - """Run a pipeline with the given config. - - Args: - - config_or_path - The config to run the pipeline with - - workflows - The workflows to run (this overrides the config) - - dataset - The dataset to run the pipeline on (this overrides the config) - - storage - The storage to use for the pipeline (this overrides the config) - - cache - The cache to use for the pipeline (this overrides the config) - - reporter - The reporter to use for the pipeline (this overrides the config) - - input_post_process_steps - The post process steps to run on the input data (this overrides the config) - - additional_verbs - The custom verbs to use for the pipeline. - - additional_workflows - The custom workflows to use for the pipeline. - - emit - The table emitters to use for the pipeline. - - memory_profile - Whether or not to profile the memory. - - run_id - The run id to start or resume from. - """ - if isinstance(config_or_path, str): - log.info("Running pipeline with config %s", config_or_path) - else: - log.info("Running pipeline") - - run_id = run_id or time.strftime("%Y%m%d-%H%M%S") - config = load_pipeline_config(config_or_path) - config = _apply_substitutions(config, run_id) - root_dir = config.root_dir - - def _create_storage(config: PipelineStorageConfigTypes | None) -> PipelineStorage: - return load_storage( - config - or PipelineFileStorageConfig(base_dir=str(Path(root_dir or "") / "output")) - ) - - def _create_cache(config: PipelineCacheConfigTypes | None) -> PipelineCache: - return load_cache(config or PipelineMemoryCacheConfig(), root_dir=root_dir) - - def _create_reporter( - config: PipelineReportingConfigTypes | None, - ) -> WorkflowCallbacks | None: - return load_pipeline_reporter(config, root_dir) if config else None - - async def _create_input( - config: PipelineInputConfigTypes | None, - ) -> pd.DataFrame | None: - if config is None: - return None - - return await load_input(config, progress_reporter, root_dir) - - def _create_postprocess_steps( - config: PipelineInputConfigTypes | None, - ) -> list[PipelineWorkflowStep] | None: - return config.post_process if config is not None else None - - progress_reporter = progress_reporter or NullProgressReporter() - storage = storage or _create_storage(config.storage) - cache = cache or _create_cache(config.cache) - callbacks = callbacks or _create_reporter(config.reporting) - dataset = dataset if dataset is not None else await _create_input(config.input) - post_process_steps = input_post_process_steps or _create_postprocess_steps( - config.input - ) - workflows = workflows or config.workflows - - if dataset is None: - msg = "No dataset provided!" - raise ValueError(msg) - - async for table in run_pipeline( - workflows=workflows, - dataset=dataset, - storage=storage, - cache=cache, - callbacks=callbacks, - input_post_process_steps=post_process_steps, - memory_profile=memory_profile, - additional_verbs=additional_verbs, - additional_workflows=additional_workflows, - progress_reporter=progress_reporter, - emit=emit, - is_resume_run=is_resume_run, - ): - yield table - - -async def run_pipeline( - workflows: list[PipelineWorkflowReference], - dataset: pd.DataFrame, - storage: PipelineStorage | None = None, - cache: PipelineCache | None = None, - callbacks: WorkflowCallbacks | None = None, - progress_reporter: ProgressReporter | None = None, - input_post_process_steps: list[PipelineWorkflowStep] | None = None, - additional_verbs: VerbDefinitions | None = None, - additional_workflows: WorkflowDefinitions | None = None, - emit: list[TableEmitterType] | None = None, - memory_profile: bool = False, - is_resume_run: bool = False, - **_kwargs: dict, -) -> AsyncIterable[PipelineRunResult]: - """Run the pipeline. - - Args: - - workflows - The workflows to run - - dataset - The dataset to run the pipeline on, specifically a dataframe with the following columns at a minimum: - - id - The id of the document - - text - The text of the document - - title - The title of the document - These must exist after any post process steps are run if there are any! - - storage - The storage to use for the pipeline - - cache - The cache to use for the pipeline - - reporter - The reporter to use for the pipeline - - input_post_process_steps - The post process steps to run on the input data - - additional_verbs - The custom verbs to use for the pipeline - - additional_workflows - The custom workflows to use for the pipeline - - debug - Whether or not to run in debug mode - Returns: - - output - An iterable of workflow results as they complete running, as well as any errors that occur - """ - start_time = time.time() - stats = PipelineRunStats() - storage = storage or MemoryPipelineStorage() - cache = cache or InMemoryCache() - progress_reporter = progress_reporter or NullProgressReporter() - callbacks = callbacks or ConsoleWorkflowCallbacks() - callbacks = _create_callback_chain(callbacks, progress_reporter) - emit = emit or [TableEmitterType.Parquet] - emitters = create_table_emitters( - emit, - storage, - lambda e, s, d: cast(WorkflowCallbacks, callbacks).on_error( - "Error emitting table", e, s, d - ), - ) - loaded_workflows = load_workflows( - workflows, - additional_verbs=additional_verbs, - additional_workflows=additional_workflows, - memory_profile=memory_profile, - ) - workflows_to_run = loaded_workflows.workflows - workflow_dependencies = loaded_workflows.dependencies - - context = _create_run_context(storage, cache, stats) - - if len(emitters) == 0: - log.info( - "No emitters provided. No table outputs will be generated. This is probably not correct." - ) - - async def dump_stats() -> None: - await storage.set("stats.json", json.dumps(asdict(stats), indent=4)) - - async def load_table_from_storage(name: str) -> pd.DataFrame: - if not await storage.has(name): - msg = f"Could not find {name} in storage!" - raise ValueError(msg) - try: - log.info("read table from storage: %s", name) - return pd.read_parquet(BytesIO(await storage.get(name, as_bytes=True))) - except Exception: - log.exception("error loading table from storage: %s", name) - raise - - async def inject_workflow_data_dependencies(workflow: Workflow) -> None: - workflow.add_table(DEFAULT_INPUT_NAME, dataset) - deps = workflow_dependencies[workflow.name] - log.info("dependencies for %s: %s", workflow.name, deps) - for id in deps: - workflow_id = f"workflow:{id}" - table = await load_table_from_storage(f"{id}.parquet") - workflow.add_table(workflow_id, table) - - async def write_workflow_stats( - workflow: Workflow, - workflow_result: WorkflowRunResult, - workflow_start_time: float, - ) -> None: - for vt in workflow_result.verb_timings: - stats.workflows[workflow.name][f"{vt.index}_{vt.verb}"] = vt.timing - - workflow_end_time = time.time() - stats.workflows[workflow.name]["overall"] = ( - workflow_end_time - workflow_start_time - ) - stats.total_runtime = time.time() - start_time - await dump_stats() - - if workflow_result.memory_profile is not None: - await _save_profiler_stats( - storage, workflow.name, workflow_result.memory_profile - ) - - log.debug( - "first row of %s => %s", workflow_name, workflow.output().iloc[0].to_json() - ) - - async def emit_workflow_output(workflow: Workflow) -> pd.DataFrame: - output = cast(pd.DataFrame, workflow.output()) - for emitter in emitters: - await emitter.emit(workflow.name, output) - return output - - dataset = await _run_post_process_steps( - input_post_process_steps, dataset, context, callbacks - ) - - # Make sure the incoming data is valid - _validate_dataset(dataset) - - log.info("Final # of rows loaded: %s", len(dataset)) - stats.num_documents = len(dataset) - last_workflow = "input" - - try: - await dump_stats() - - for workflow_to_run in workflows_to_run: - # Try to flush out any intermediate dataframes - gc.collect() - - workflow = workflow_to_run.workflow - workflow_name: str = workflow.name - last_workflow = workflow_name - - log.info("Running workflow: %s...", workflow_name) - - if is_resume_run and await storage.has( - f"{workflow_to_run.workflow.name}.parquet" - ): - log.info("Skipping %s because it already exists", workflow_name) - continue - - stats.workflows[workflow_name] = {"overall": 0.0} - await inject_workflow_data_dependencies(workflow) - - workflow_start_time = time.time() - result = await workflow.run(context, callbacks) - await write_workflow_stats(workflow, result, workflow_start_time) - - # Save the output from the workflow - output = await emit_workflow_output(workflow) - yield PipelineRunResult(workflow_name, output, None) - output = None - workflow.dispose() - workflow = None - - stats.total_runtime = time.time() - start_time - await dump_stats() - except Exception as e: - log.exception("error running workflow %s", last_workflow) - cast(WorkflowCallbacks, callbacks).on_error( - "Error running pipeline!", e, traceback.format_exc() - ) - yield PipelineRunResult(last_workflow, None, [e]) - - -def _create_callback_chain( - callbacks: WorkflowCallbacks | None, progress: ProgressReporter | None -) -> WorkflowCallbacks: - """Create a callbacks manager.""" - manager = WorkflowCallbacksManager() - if callbacks is not None: - manager.register(callbacks) - if progress is not None: - manager.register(ProgressWorkflowCallbacks(progress)) - return manager - - -async def _save_profiler_stats( - storage: PipelineStorage, workflow_name: str, profile: MemoryProfile -): - """Save the profiler stats to the storage.""" - await storage.set( - f"{workflow_name}_profiling.peak_stats.csv", - profile.peak_stats.to_csv(index=True), - ) - - await storage.set( - f"{workflow_name}_profiling.snapshot_stats.csv", - profile.snapshot_stats.to_csv(index=True), - ) - - await storage.set( - f"{workflow_name}_profiling.time_stats.csv", - profile.time_stats.to_csv(index=True), - ) - - await storage.set( - f"{workflow_name}_profiling.detailed_view.csv", - profile.detailed_view.to_csv(index=True), - ) - - -async def _run_post_process_steps( - post_process: list[PipelineWorkflowStep] | None, - dataset: pd.DataFrame, - context: PipelineRunContext, - callbacks: WorkflowCallbacks, -) -> pd.DataFrame: - """Run the pipeline. - - Args: - - post_process - The post process steps to run - - dataset - The dataset to run the steps on - - context - The pipeline run context - Returns: - - output - The dataset after running the post process steps - """ - if post_process is not None and len(post_process) > 0: - input_workflow = create_workflow( - "Input Post Process", - post_process, - ) - input_workflow.add_table(DEFAULT_INPUT_NAME, dataset) - await input_workflow.run( - context=context, - callbacks=callbacks, - ) - dataset = cast(pd.DataFrame, input_workflow.output()) - return dataset - - -def _validate_dataset(dataset: pd.DataFrame): - """Validate the dataset for the pipeline. - - Args: - - dataset - The dataset to validate - """ - if not isinstance(dataset, pd.DataFrame): - msg = "Dataset must be a pandas dataframe!" - raise TypeError(msg) - - -def _apply_substitutions(config: PipelineConfig, run_id: str) -> PipelineConfig: - substitutions = {"timestamp": run_id} - - if ( - isinstance( - config.storage, PipelineFileStorageConfig | PipelineBlobStorageConfig - ) - and config.storage.base_dir - ): - config.storage.base_dir = Template(config.storage.base_dir).substitute( - substitutions - ) - if ( - isinstance(config.cache, PipelineFileCacheConfig | PipelineBlobCacheConfig) - and config.cache.base_dir - ): - config.cache.base_dir = Template(config.cache.base_dir).substitute( - substitutions - ) - - if ( - isinstance( - config.reporting, PipelineFileReportingConfig | PipelineBlobReportingConfig - ) - and config.reporting.base_dir - ): - config.reporting.base_dir = Template(config.reporting.base_dir).substitute( - substitutions - ) - - return config - - -def _create_run_context( - storage: PipelineStorage, - cache: PipelineCache, - stats: PipelineRunStats, -) -> PipelineRunContext: - """Create the run context for the pipeline.""" - return PipelineRunContext( - stats=stats, - cache=cache, - storage=storage, - ) diff --git a/graphrag/index/run/__init__.py b/graphrag/index/run/__init__.py new file mode 100644 index 0000000000..afb43acd8e --- /dev/null +++ b/graphrag/index/run/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Run module for GraphRAG.""" + +from graphrag.index.run.run import run_pipeline, run_pipeline_with_config + +__all__ = ["run_pipeline", "run_pipeline_with_config"] diff --git a/graphrag/index/run/cache.py b/graphrag/index/run/cache.py new file mode 100644 index 0000000000..d1c57e4f80 --- /dev/null +++ b/graphrag/index/run/cache.py @@ -0,0 +1,17 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Cache functions for the GraphRAG update module.""" + +from graphrag.index.cache.load_cache import load_cache +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.config.cache import ( + PipelineCacheConfigTypes, + PipelineMemoryCacheConfig, +) + + +def _create_cache( + config: PipelineCacheConfigTypes | None, root_dir: str +) -> PipelineCache: + return load_cache(config or PipelineMemoryCacheConfig(), root_dir=root_dir) diff --git a/graphrag/index/run/postprocess.py b/graphrag/index/run/postprocess.py new file mode 100644 index 0000000000..240df8e435 --- /dev/null +++ b/graphrag/index/run/postprocess.py @@ -0,0 +1,50 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Post Processing functions for the GraphRAG run module.""" + +from typing import cast + +import pandas as pd +from datashaper import DEFAULT_INPUT_NAME, WorkflowCallbacks + +from graphrag.index.config.input import PipelineInputConfigTypes +from graphrag.index.config.workflow import PipelineWorkflowStep +from graphrag.index.context import PipelineRunContext +from graphrag.index.workflows.load import create_workflow + + +def _create_postprocess_steps( + config: PipelineInputConfigTypes | None, +) -> list[PipelineWorkflowStep] | None: + """Retrieve the post process steps for the pipeline.""" + return config.post_process if config is not None else None + + +async def _run_post_process_steps( + post_process: list[PipelineWorkflowStep] | None, + dataset: pd.DataFrame, + context: PipelineRunContext, + callbacks: WorkflowCallbacks, +) -> pd.DataFrame: + """Run the pipeline. + + Args: + - post_process - The post process steps to run + - dataset - The dataset to run the steps on + - context - The pipeline run context + Returns: + - output - The dataset after running the post process steps + """ + if post_process: + input_workflow = create_workflow( + "Input Post Process", + post_process, + ) + input_workflow.add_table(DEFAULT_INPUT_NAME, dataset) + await input_workflow.run( + context=context, + callbacks=callbacks, + ) + dataset = cast(pd.DataFrame, input_workflow.output()) + return dataset diff --git a/graphrag/index/run/profiling.py b/graphrag/index/run/profiling.py new file mode 100644 index 0000000000..6121b9ea27 --- /dev/null +++ b/graphrag/index/run/profiling.py @@ -0,0 +1,71 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Profiling functions for the GraphRAG run module.""" + +import json +import logging +import time +from dataclasses import asdict + +from datashaper import MemoryProfile, Workflow, WorkflowRunResult + +from graphrag.index.context import PipelineRunStats +from graphrag.index.storage.pipeline_storage import PipelineStorage + +log = logging.getLogger(__name__) + + +async def _save_profiler_stats( + storage: PipelineStorage, workflow_name: str, profile: MemoryProfile +): + """Save the profiler stats to the storage.""" + await storage.set( + f"{workflow_name}_profiling.peak_stats.csv", + profile.peak_stats.to_csv(index=True), + ) + + await storage.set( + f"{workflow_name}_profiling.snapshot_stats.csv", + profile.snapshot_stats.to_csv(index=True), + ) + + await storage.set( + f"{workflow_name}_profiling.time_stats.csv", + profile.time_stats.to_csv(index=True), + ) + + await storage.set( + f"{workflow_name}_profiling.detailed_view.csv", + profile.detailed_view.to_csv(index=True), + ) + + +async def _dump_stats(stats: PipelineRunStats, storage: PipelineStorage) -> None: + """Dump the stats to the storage.""" + await storage.set( + "stats.json", json.dumps(asdict(stats), indent=4, ensure_ascii=False) + ) + + +async def _write_workflow_stats( + workflow: Workflow, + workflow_result: WorkflowRunResult, + workflow_start_time: float, + start_time: float, + stats: PipelineRunStats, + storage: PipelineStorage, +) -> None: + """Write the workflow stats to the storage.""" + for vt in workflow_result.verb_timings: + stats.workflows[workflow.name][f"{vt.index}_{vt.verb}"] = vt.timing + + workflow_end_time = time.time() + stats.workflows[workflow.name]["overall"] = workflow_end_time - workflow_start_time + stats.total_runtime = time.time() - start_time + await _dump_stats(stats, storage) + + if workflow_result.memory_profile is not None: + await _save_profiler_stats( + storage, workflow.name, workflow_result.memory_profile + ) diff --git a/graphrag/index/run/run.py b/graphrag/index/run/run.py new file mode 100644 index 0000000000..d2dfa19df5 --- /dev/null +++ b/graphrag/index/run/run.py @@ -0,0 +1,293 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Different methods to run the pipeline.""" + +import gc +import logging +import time +import traceback +from collections.abc import AsyncIterable +from pathlib import Path +from typing import cast + +import pandas as pd +from datashaper import NoopVerbCallbacks, WorkflowCallbacks + +from graphrag.callbacks.console_workflow_callbacks import ConsoleWorkflowCallbacks +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.config.pipeline import ( + PipelineConfig, + PipelineWorkflowReference, +) +from graphrag.index.config.workflow import PipelineWorkflowStep +from graphrag.index.emit.factories import create_table_emitters +from graphrag.index.emit.types import TableEmitterType +from graphrag.index.load_pipeline_config import load_pipeline_config +from graphrag.index.run.cache import _create_cache +from graphrag.index.run.postprocess import ( + _create_postprocess_steps, + _run_post_process_steps, +) +from graphrag.index.run.profiling import _dump_stats +from graphrag.index.run.utils import ( + _apply_substitutions, + _create_input, + _create_reporter, + _validate_dataset, + create_run_context, +) +from graphrag.index.run.workflow import ( + _create_callback_chain, + _process_workflow, +) +from graphrag.index.storage.pipeline_storage import PipelineStorage +from graphrag.index.typing import PipelineRunResult +from graphrag.index.update.incremental_index import ( + get_delta_docs, + update_dataframe_outputs, +) +from graphrag.index.workflows import ( + VerbDefinitions, + WorkflowDefinitions, + load_workflows, +) +from graphrag.logging.base import ProgressReporter +from graphrag.logging.null_progress import NullProgressReporter +from graphrag.utils.storage import _create_storage + +log = logging.getLogger(__name__) + + +async def run_pipeline_with_config( + config_or_path: PipelineConfig | str, + workflows: list[PipelineWorkflowReference] | None = None, + dataset: pd.DataFrame | None = None, + storage: PipelineStorage | None = None, + update_index_storage: PipelineStorage | None = None, + cache: PipelineCache | None = None, + callbacks: WorkflowCallbacks | None = None, + progress_reporter: ProgressReporter | None = None, + input_post_process_steps: list[PipelineWorkflowStep] | None = None, + additional_verbs: VerbDefinitions | None = None, + additional_workflows: WorkflowDefinitions | None = None, + emit: list[TableEmitterType] | None = None, + memory_profile: bool = False, + run_id: str | None = None, + is_resume_run: bool = False, + is_update_run: bool = False, + **_kwargs: dict, +) -> AsyncIterable[PipelineRunResult]: + """Run a pipeline with the given config. + + Args: + - config_or_path - The config to run the pipeline with + - workflows - The workflows to run (this overrides the config) + - dataset - The dataset to run the pipeline on (this overrides the config) + - storage - The storage to use for the pipeline (this overrides the config) + - cache - The cache to use for the pipeline (this overrides the config) + - reporter - The reporter to use for the pipeline (this overrides the config) + - input_post_process_steps - The post process steps to run on the input data (this overrides the config) + - additional_verbs - The custom verbs to use for the pipeline. + - additional_workflows - The custom workflows to use for the pipeline. + - emit - The table emitters to use for the pipeline. + - memory_profile - Whether or not to profile the memory. + - run_id - The run id to start or resume from. + """ + if isinstance(config_or_path, str): + log.info("Running pipeline with config %s", config_or_path) + else: + log.info("Running pipeline") + + run_id = run_id or time.strftime("%Y%m%d-%H%M%S") + config = load_pipeline_config(config_or_path) + config = _apply_substitutions(config, run_id) + root_dir = config.root_dir or "" + + progress_reporter = progress_reporter or NullProgressReporter() + storage = storage or _create_storage(config.storage, root_dir=Path(root_dir)) + + if is_update_run: + update_index_storage = update_index_storage or _create_storage( + config.update_index_storage, root_dir=Path(root_dir) + ) + + cache = cache or _create_cache(config.cache, root_dir) + callbacks = callbacks or _create_reporter(config.reporting, root_dir) + dataset = ( + dataset + if dataset is not None + else await _create_input(config.input, progress_reporter, root_dir) + ) + + post_process_steps = input_post_process_steps or _create_postprocess_steps( + config.input + ) + workflows = workflows or config.workflows + + if dataset is None: + msg = "No dataset provided!" + raise ValueError(msg) + + if is_update_run and update_index_storage: + delta_dataset = await get_delta_docs(dataset, storage) + + # Fail on empty delta dataset + if delta_dataset.new_inputs.empty: + error_msg = "Incremental Indexing Error: No new documents to process." + raise ValueError(error_msg) + + delta_storage = update_index_storage.child("delta") + + # Run the pipeline on the new documents + tables_dict = {} + async for table in run_pipeline( + workflows=workflows, + dataset=delta_dataset.new_inputs, + storage=delta_storage, + cache=cache, + callbacks=callbacks, + input_post_process_steps=post_process_steps, + memory_profile=memory_profile, + additional_verbs=additional_verbs, + additional_workflows=additional_workflows, + progress_reporter=progress_reporter, + emit=emit, + is_resume_run=False, + ): + tables_dict[table.workflow] = table.result + + progress_reporter.success("Finished running workflows on new documents.") + await update_dataframe_outputs( + dataframe_dict=tables_dict, + storage=storage, + update_storage=update_index_storage, + config=config, + cache=cache, + callbacks=NoopVerbCallbacks(), + progress_reporter=progress_reporter, + ) + + else: + async for table in run_pipeline( + workflows=workflows, + dataset=dataset, + storage=storage, + cache=cache, + callbacks=callbacks, + input_post_process_steps=post_process_steps, + memory_profile=memory_profile, + additional_verbs=additional_verbs, + additional_workflows=additional_workflows, + progress_reporter=progress_reporter, + emit=emit, + is_resume_run=is_resume_run, + ): + yield table + + +async def run_pipeline( + workflows: list[PipelineWorkflowReference], + dataset: pd.DataFrame, + storage: PipelineStorage | None = None, + cache: PipelineCache | None = None, + callbacks: WorkflowCallbacks | None = None, + progress_reporter: ProgressReporter | None = None, + input_post_process_steps: list[PipelineWorkflowStep] | None = None, + additional_verbs: VerbDefinitions | None = None, + additional_workflows: WorkflowDefinitions | None = None, + emit: list[TableEmitterType] | None = None, + memory_profile: bool = False, + is_resume_run: bool = False, + **_kwargs: dict, +) -> AsyncIterable[PipelineRunResult]: + """Run the pipeline. + + Args: + - workflows - The workflows to run + - dataset - The dataset to run the pipeline on, specifically a dataframe with the following columns at a minimum: + - id - The id of the document + - text - The text of the document + - title - The title of the document + These must exist after any post process steps are run if there are any! + - storage - The storage to use for the pipeline + - cache - The cache to use for the pipeline + - reporter - The reporter to use for the pipeline + - input_post_process_steps - The post process steps to run on the input data + - additional_verbs - The custom verbs to use for the pipeline + - additional_workflows - The custom workflows to use for the pipeline + - debug - Whether or not to run in debug mode + Returns: + - output - An iterable of workflow results as they complete running, as well as any errors that occur + """ + start_time = time.time() + + context = create_run_context(storage=storage, cache=cache, stats=None) + + progress_reporter = progress_reporter or NullProgressReporter() + callbacks = callbacks or ConsoleWorkflowCallbacks() + callbacks = _create_callback_chain(callbacks, progress_reporter) + # TODO: This default behavior is already defined at the API level. Update tests + # of this function to pass in an emit type before removing this default setting. + emit = emit or [TableEmitterType.Parquet] + emitters = create_table_emitters( + emit, + context.storage, + lambda e, s, d: cast(WorkflowCallbacks, callbacks).on_error( + "Error emitting table", e, s, d + ), + ) + loaded_workflows = load_workflows( + workflows, + additional_verbs=additional_verbs, + additional_workflows=additional_workflows, + memory_profile=memory_profile, + ) + workflows_to_run = loaded_workflows.workflows + workflow_dependencies = loaded_workflows.dependencies + + if len(emitters) == 0: + log.info( + "No emitters provided. No table outputs will be generated. This is probably not correct." + ) + + dataset = await _run_post_process_steps( + input_post_process_steps, dataset, context, callbacks + ) + + # Make sure the incoming data is valid + _validate_dataset(dataset) + + log.info("Final # of rows loaded: %s", len(dataset)) + context.stats.num_documents = len(dataset) + last_workflow = "input" + + try: + await _dump_stats(context.stats, context.storage) + + for workflow_to_run in workflows_to_run: + # Try to flush out any intermediate dataframes + gc.collect() + + last_workflow = workflow_to_run.workflow.name + result = await _process_workflow( + workflow_to_run.workflow, + context, + callbacks, + emitters, + workflow_dependencies, + dataset, + start_time, + is_resume_run, + ) + if result: + yield result + + context.stats.total_runtime = time.time() - start_time + await _dump_stats(context.stats, context.storage) + except Exception as e: + log.exception("error running workflow %s", last_workflow) + cast(WorkflowCallbacks, callbacks).on_error( + "Error running pipeline!", e, traceback.format_exc() + ) + yield PipelineRunResult(last_workflow, None, [e]) diff --git a/graphrag/index/run/utils.py b/graphrag/index/run/utils.py new file mode 100644 index 0000000000..ab5b4989f3 --- /dev/null +++ b/graphrag/index/run/utils.py @@ -0,0 +1,128 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Utility functions for the GraphRAG run module.""" + +import logging +from string import Template +from typing import Any + +import pandas as pd +from datashaper import ( + WorkflowCallbacks, +) + +from graphrag.callbacks.factories import create_pipeline_reporter +from graphrag.index.cache.memory_pipeline_cache import InMemoryCache +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.config.cache import ( + PipelineBlobCacheConfig, + PipelineFileCacheConfig, +) +from graphrag.index.config.input import PipelineInputConfigTypes +from graphrag.index.config.pipeline import PipelineConfig +from graphrag.index.config.reporting import ( + PipelineBlobReportingConfig, + PipelineFileReportingConfig, + PipelineReportingConfigTypes, +) +from graphrag.index.config.storage import ( + PipelineBlobStorageConfig, + PipelineFileStorageConfig, +) +from graphrag.index.context import PipelineRunContext, PipelineRunStats +from graphrag.index.input.load_input import load_input +from graphrag.index.storage.memory_pipeline_storage import MemoryPipelineStorage +from graphrag.index.storage.pipeline_storage import PipelineStorage +from graphrag.logging.base import ProgressReporter + +log = logging.getLogger(__name__) + + +def _create_reporter( + config: PipelineReportingConfigTypes | None, root_dir: str +) -> WorkflowCallbacks | None: + """Create the reporter for the pipeline.""" + return create_pipeline_reporter(config, root_dir) if config else None + + +async def _create_input( + config: PipelineInputConfigTypes | None, + progress_reporter: ProgressReporter | None, + root_dir: str, +) -> pd.DataFrame | None: + """Load the input for the pipeline.""" + if config is None: + return None + + return await load_input(config, progress_reporter, root_dir) + + +def _validate_dataset(dataset: Any): + """Validate the dataset for the pipeline. + + Args: + - dataset - The dataset to validate + """ + if not isinstance(dataset, pd.DataFrame): + msg = "Dataset must be a pandas dataframe!" + raise TypeError(msg) + + +def _apply_substitutions(config: PipelineConfig, run_id: str) -> PipelineConfig: + """Apply the substitutions to the configuration.""" + substitutions = {"timestamp": run_id} + + if ( + isinstance( + config.storage, PipelineFileStorageConfig | PipelineBlobStorageConfig + ) + and config.storage.base_dir + ): + config.storage.base_dir = Template(config.storage.base_dir).substitute( + substitutions + ) + if ( + config.update_index_storage + and isinstance( + config.update_index_storage, + PipelineFileStorageConfig | PipelineBlobStorageConfig, + ) + and config.update_index_storage.base_dir + ): + config.update_index_storage.base_dir = Template( + config.update_index_storage.base_dir + ).substitute(substitutions) + if ( + isinstance(config.cache, PipelineFileCacheConfig | PipelineBlobCacheConfig) + and config.cache.base_dir + ): + config.cache.base_dir = Template(config.cache.base_dir).substitute( + substitutions + ) + + if ( + isinstance( + config.reporting, PipelineFileReportingConfig | PipelineBlobReportingConfig + ) + and config.reporting.base_dir + ): + config.reporting.base_dir = Template(config.reporting.base_dir).substitute( + substitutions + ) + + return config + + +def create_run_context( + storage: PipelineStorage | None, + cache: PipelineCache | None, + stats: PipelineRunStats | None, +) -> PipelineRunContext: + """Create the run context for the pipeline.""" + return PipelineRunContext( + stats=stats or PipelineRunStats(), + cache=cache or InMemoryCache(), + storage=storage or MemoryPipelineStorage(), + runtime_storage=MemoryPipelineStorage(), + ) diff --git a/graphrag/index/run/workflow.py b/graphrag/index/run/workflow.py new file mode 100644 index 0000000000..4497910262 --- /dev/null +++ b/graphrag/index/run/workflow.py @@ -0,0 +1,152 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Workflow functions for the GraphRAG update module.""" + +import logging +import time +from typing import cast + +import pandas as pd +from datashaper import ( + DEFAULT_INPUT_NAME, + Workflow, + WorkflowCallbacks, + WorkflowCallbacksManager, +) + +from graphrag.callbacks.progress_workflow_callbacks import ProgressWorkflowCallbacks +from graphrag.index.config.pipeline import PipelineConfig +from graphrag.index.context import PipelineRunContext +from graphrag.index.emit.table_emitter import TableEmitter +from graphrag.index.run.profiling import _write_workflow_stats +from graphrag.index.storage.pipeline_storage import PipelineStorage +from graphrag.index.typing import PipelineRunResult +from graphrag.logging.base import ProgressReporter +from graphrag.utils.storage import _load_table_from_storage + +log = logging.getLogger(__name__) + + +async def _inject_workflow_data_dependencies( + workflow: Workflow, + workflow_dependencies: dict[str, list[str]], + dataset: pd.DataFrame, + storage: PipelineStorage, +) -> None: + """Inject the data dependencies into the workflow.""" + workflow.add_table(DEFAULT_INPUT_NAME, dataset) + deps = workflow_dependencies[workflow.name] + log.info("dependencies for %s: %s", workflow.name, deps) + for id in deps: + workflow_id = f"workflow:{id}" + try: + table = await _load_table_from_storage(f"{id}.parquet", storage) + except ValueError: + # our workflows now allow transient tables, and we avoid putting those in primary storage + # however, we need to keep the table in the dependency list for proper execution order + # this allows us to catch missing table errors but emit a warning for pipeline users who may genuinely have an error (which we expect to be very rare) + # todo: this issue will resolve itself if we remove DataShaper completely + log.warning( + "Dependency table %s not found in storage: it may be a runtime-only in-memory table. If you see further errors, this may be an actual problem.", + id, + ) + table = pd.DataFrame() + workflow.add_table(workflow_id, table) + + +async def _emit_workflow_output( + workflow: Workflow, emitters: list[TableEmitter] +) -> pd.DataFrame: + """Emit the workflow output.""" + output = cast(pd.DataFrame, workflow.output()) + # only write the final output if it has content + # this is expressly designed to allow us to create + # workflows with side effects that don't produce a formal output to save + if not output.empty: + for emitter in emitters: + await emitter.emit(workflow.name, output) + return output + + +def _create_callback_chain( + callbacks: WorkflowCallbacks | None, progress: ProgressReporter | None +) -> WorkflowCallbacks: + """Create a callbacks manager.""" + manager = WorkflowCallbacksManager() + if callbacks is not None: + manager.register(callbacks) + if progress is not None: + manager.register(ProgressWorkflowCallbacks(progress)) + return manager + + +async def _process_workflow( + workflow: Workflow, + context: PipelineRunContext, + callbacks: WorkflowCallbacks, + emitters: list[TableEmitter], + workflow_dependencies: dict[str, list[str]], + dataset: pd.DataFrame, + start_time: float, + is_resume_run: bool, +): + workflow_name = workflow.name + if is_resume_run and await context.storage.has(f"{workflow_name}.parquet"): + log.info("Skipping %s because it already exists", workflow_name) + return None + + context.stats.workflows[workflow_name] = {"overall": 0.0} + await _inject_workflow_data_dependencies( + workflow, workflow_dependencies, dataset, context.storage + ) + + workflow_start_time = time.time() + result = await workflow.run(context, callbacks) + await _write_workflow_stats( + workflow, + result, + workflow_start_time, + start_time, + context.stats, + context.storage, + ) + + # Save the output from the workflow + output = await _emit_workflow_output(workflow, emitters) + workflow.dispose() + return PipelineRunResult(workflow_name, output, None) + + +def _find_workflow_config( + config: PipelineConfig, workflow_name: str, step: str | None = None +) -> dict: + """Find a workflow in the pipeline configuration. + + Parameters + ---------- + config : PipelineConfig + The pipeline configuration. + workflow_name : str + The name of the workflow. + step : str + The step in the workflow. + + Returns + ------- + dict + The workflow configuration. + """ + try: + workflow = next( + filter(lambda workflow: workflow.name == workflow_name, config.workflows) + ) + except StopIteration as err: + error_message = ( + f"Workflow {workflow_name} not found in the pipeline configuration." + ) + raise ValueError(error_message) from err + + if not workflow.config: + return {} + return workflow.config if not step else workflow.config.get(step, {}) diff --git a/graphrag/index/storage/__init__.py b/graphrag/index/storage/__init__.py index 7ca943db52..51f34cbd3d 100644 --- a/graphrag/index/storage/__init__.py +++ b/graphrag/index/storage/__init__.py @@ -2,18 +2,3 @@ # Licensed under the MIT License """The Indexing Engine storage package root.""" - -from .blob_pipeline_storage import BlobPipelineStorage, create_blob_storage -from .file_pipeline_storage import FilePipelineStorage -from .load_storage import load_storage -from .memory_pipeline_storage import MemoryPipelineStorage -from .typing import PipelineStorage - -__all__ = [ - "BlobPipelineStorage", - "FilePipelineStorage", - "MemoryPipelineStorage", - "PipelineStorage", - "create_blob_storage", - "load_storage", -] diff --git a/graphrag/index/storage/blob_pipeline_storage.py b/graphrag/index/storage/blob_pipeline_storage.py index 7e60df9697..da75a10082 100644 --- a/graphrag/index/storage/blob_pipeline_storage.py +++ b/graphrag/index/storage/blob_pipeline_storage.py @@ -13,9 +13,8 @@ from azure.storage.blob import BlobServiceClient from datashaper import Progress -from graphrag.index.progress import ProgressReporter - -from .typing import PipelineStorage +from graphrag.index.storage.pipeline_storage import PipelineStorage +from graphrag.logging.base import ProgressReporter log = logging.getLogger(__name__) @@ -276,6 +275,11 @@ def child(self, name: str | None) -> "PipelineStorage": self._storage_account_blob_url, ) + def keys(self) -> list[str]: + """Return the keys in the storage.""" + msg = "Blob storage does yet not support listing keys." + raise NotImplementedError(msg) + def _keyname(self, key: str) -> str: """Get the key name.""" return str(Path(self._path_prefix) / key) diff --git a/graphrag/index/storage/file_pipeline_storage.py b/graphrag/index/storage/file_pipeline_storage.py index ee61bab3dd..dbbca4e18e 100644 --- a/graphrag/index/storage/file_pipeline_storage.py +++ b/graphrag/index/storage/file_pipeline_storage.py @@ -16,9 +16,8 @@ from aiofiles.ospath import exists from datashaper import Progress -from graphrag.index.progress import ProgressReporter - -from .typing import PipelineStorage +from graphrag.index.storage.pipeline_storage import PipelineStorage +from graphrag.logging.base import ProgressReporter log = logging.getLogger(__name__) @@ -143,6 +142,10 @@ def child(self, name: str | None) -> "PipelineStorage": return self return FilePipelineStorage(str(Path(self._root_dir) / Path(name))) + def keys(self) -> list[str]: + """Return the keys in the storage.""" + return os.listdir(self._root_dir) + def join_path(file_path: str, file_name: str) -> Path: """Join a path and a file. Independent of the OS.""" diff --git a/graphrag/index/storage/load_storage.py b/graphrag/index/storage/load_storage.py index 33d61ee97f..fc847e06f8 100644 --- a/graphrag/index/storage/load_storage.py +++ b/graphrag/index/storage/load_storage.py @@ -7,16 +7,15 @@ from typing import cast -from graphrag.config import StorageType +from graphrag.config.enums import StorageType from graphrag.index.config.storage import ( PipelineBlobStorageConfig, PipelineFileStorageConfig, PipelineStorageConfig, ) - -from .blob_pipeline_storage import create_blob_storage -from .file_pipeline_storage import create_file_storage -from .memory_pipeline_storage import create_memory_storage +from graphrag.index.storage.blob_pipeline_storage import create_blob_storage +from graphrag.index.storage.file_pipeline_storage import create_file_storage +from graphrag.index.storage.memory_pipeline_storage import create_memory_storage def load_storage(config: PipelineStorageConfig): diff --git a/graphrag/index/storage/memory_pipeline_storage.py b/graphrag/index/storage/memory_pipeline_storage.py index 2d1382e0af..80245c387e 100644 --- a/graphrag/index/storage/memory_pipeline_storage.py +++ b/graphrag/index/storage/memory_pipeline_storage.py @@ -5,8 +5,8 @@ from typing import Any -from .file_pipeline_storage import FilePipelineStorage -from .typing import PipelineStorage +from graphrag.index.storage.file_pipeline_storage import FilePipelineStorage +from graphrag.index.storage.pipeline_storage import PipelineStorage class MemoryPipelineStorage(FilePipelineStorage): @@ -32,11 +32,9 @@ async def get( ------- - output - The value for the given key. """ - return self._storage.get(key) or await super().get(key, as_bytes, encoding) + return self._storage.get(key) - async def set( - self, key: str, value: str | bytes | None, encoding: str | None = None - ) -> None: + async def set(self, key: str, value: Any, encoding: str | None = None) -> None: """Set the value for the given key. Args: @@ -55,7 +53,7 @@ async def has(self, key: str) -> bool: ------- - output - True if the key exists in the storage, False otherwise. """ - return key in self._storage or await super().has(key) + return key in self._storage async def delete(self, key: str) -> None: """Delete the given key from the storage. @@ -71,7 +69,11 @@ async def clear(self) -> None: def child(self, name: str | None) -> "PipelineStorage": """Create a child storage instance.""" - return self + return MemoryPipelineStorage() + + def keys(self) -> list[str]: + """Return the keys in the storage.""" + return list(self._storage.keys()) def create_memory_storage() -> PipelineStorage: diff --git a/graphrag/index/storage/typing.py b/graphrag/index/storage/pipeline_storage.py similarity index 89% rename from graphrag/index/storage/typing.py rename to graphrag/index/storage/pipeline_storage.py index 595baf4efd..ec67b43234 100644 --- a/graphrag/index/storage/typing.py +++ b/graphrag/index/storage/pipeline_storage.py @@ -8,7 +8,7 @@ from collections.abc import Iterator from typing import Any -from graphrag.index.progress import ProgressReporter +from graphrag.logging.base import ProgressReporter class PipelineStorage(metaclass=ABCMeta): @@ -41,9 +41,7 @@ async def get( """ @abstractmethod - async def set( - self, key: str, value: str | bytes | None, encoding: str | None = None - ) -> None: + async def set(self, key: str, value: Any, encoding: str | None = None) -> None: """Set the value for the given key. Args: @@ -78,3 +76,7 @@ async def clear(self) -> None: @abstractmethod def child(self, name: str | None) -> "PipelineStorage": """Create a child storage instance.""" + + @abstractmethod + def keys(self) -> list[str]: + """List all keys in the storage.""" diff --git a/graphrag/index/text_splitting/__init__.py b/graphrag/index/text_splitting/__init__.py index 4653adb22b..e6f3b31b4c 100644 --- a/graphrag/index/text_splitting/__init__.py +++ b/graphrag/index/text_splitting/__init__.py @@ -2,33 +2,3 @@ # Licensed under the MIT License """The Indexing Engine Text Splitting package root.""" - -from .check_token_limit import check_token_limit -from .text_splitting import ( - DecodeFn, - EncodedText, - EncodeFn, - LengthFn, - NoopTextSplitter, - TextListSplitter, - TextListSplitterType, - TextSplitter, - Tokenizer, - TokenTextSplitter, - split_text_on_tokens, -) - -__all__ = [ - "DecodeFn", - "EncodeFn", - "EncodedText", - "LengthFn", - "NoopTextSplitter", - "TextListSplitter", - "TextListSplitterType", - "TextSplitter", - "TokenTextSplitter", - "Tokenizer", - "check_token_limit", - "split_text_on_tokens", -] diff --git a/graphrag/index/text_splitting/check_token_limit.py b/graphrag/index/text_splitting/check_token_limit.py index 1a5f862254..7b6a139e02 100644 --- a/graphrag/index/text_splitting/check_token_limit.py +++ b/graphrag/index/text_splitting/check_token_limit.py @@ -3,7 +3,7 @@ """Token limit method definition.""" -from .text_splitting import TokenTextSplitter +from graphrag.index.text_splitting.text_splitting import TokenTextSplitter def check_token_limit(text, max_token): diff --git a/graphrag/index/text_splitting/text_splitting.py b/graphrag/index/text_splitting/text_splitting.py index 0badc8977c..7ef5dd874c 100644 --- a/graphrag/index/text_splitting/text_splitting.py +++ b/graphrag/index/text_splitting/text_splitting.py @@ -14,7 +14,7 @@ import pandas as pd import tiktoken -from graphrag.index.utils import num_tokens_from_string +from graphrag.index.utils.tokens import num_tokens_from_string EncodedText = list[int] DecodeFn = Callable[[EncodedText], str] @@ -224,7 +224,7 @@ def _append_to_result(self, chunk_list: list[str], new_chunk: list[str]): """Append the current chunk to the result.""" if new_chunk and len(new_chunk) > 0: if self._type == TextListSplitterType.JSON: - chunk_list.append(json.dumps(new_chunk)) + chunk_list.append(json.dumps(new_chunk, ensure_ascii=False)) else: chunk_list.append(self._output_delimiter.join(new_chunk)) diff --git a/graphrag/index/update/__init__.py b/graphrag/index/update/__init__.py new file mode 100644 index 0000000000..e6966408fb --- /dev/null +++ b/graphrag/index/update/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Incremental Indexing main module definition.""" diff --git a/graphrag/index/update/communities.py b/graphrag/index/update/communities.py new file mode 100644 index 0000000000..6e64cdd826 --- /dev/null +++ b/graphrag/index/update/communities.py @@ -0,0 +1,237 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Dataframe operations and utils for Incremental Indexing.""" + +from typing import TYPE_CHECKING + +import pandas as pd + +if TYPE_CHECKING: + from collections.abc import Callable + + +def _merge_and_resolve_nodes( + old_nodes: pd.DataFrame, delta_nodes: pd.DataFrame, merged_entities_df: pd.DataFrame +) -> tuple[pd.DataFrame, dict]: + """Merge and resolve nodes. + + Parameters + ---------- + old_nodes : pd.DataFrame + The old nodes. + delta_nodes : pd.DataFrame + The delta nodes. + + Returns + ------- + pd.DataFrame + The merged nodes. + dict + The community id mapping. + """ + # Increment all community ids by the max of the old nodes + old_max_community_id = old_nodes["community"].fillna(0).astype(int).max() + + # Merge delta_nodes with merged_entities_df to get the new human_readable_id + delta_nodes = delta_nodes.merge( + merged_entities_df[["id", "human_readable_id"]], + on="id", + how="left", + suffixes=("", "_new"), + ) + + # Replace existing human_readable_id with the new one from merged_entities_df + delta_nodes["human_readable_id"] = delta_nodes.loc[ + :, "human_readable_id_new" + ].combine_first(delta_nodes.loc[:, "human_readable_id"]) + + # Drop the auxiliary column from the merge + delta_nodes.drop(columns=["human_readable_id_new"], inplace=True) + + # Increment only the non-NaN values in delta_nodes["community"] + community_id_mapping = { + v: v + old_max_community_id + 1 + for k, v in delta_nodes["community"].dropna().astype(int).items() + } + + delta_nodes["community"] = delta_nodes["community"].where( + delta_nodes["community"].isna(), + delta_nodes["community"].fillna(0).astype(int) + old_max_community_id + 1, + ) + + # Concat the DataFrames + concat_nodes = pd.concat([old_nodes, delta_nodes], ignore_index=True) + columns_to_agg: dict[str, str | Callable] = { + col: "first" for col in concat_nodes.columns if col not in ["level", "title"] + } + + merged_nodes = ( + concat_nodes.groupby(["level", "title"]).agg(columns_to_agg).reset_index() + ) + + merged_nodes["community"] = merged_nodes["community"].astype(int) + merged_nodes["human_readable_id"] = merged_nodes["human_readable_id"].astype(int) + + merged_nodes = merged_nodes.loc[ + :, + [ + "id", + "human_readable_id", + "title", + "community", + "level", + "degree", + "x", + "y", + ], + ] + + return merged_nodes, community_id_mapping + + +def _update_and_merge_communities( + old_communities: pd.DataFrame, + delta_communities: pd.DataFrame, + community_id_mapping: dict, +) -> pd.DataFrame: + """Update and merge communities. + + Parameters + ---------- + old_communities : pd.DataFrame + The old communities. + delta_communities : pd.DataFrame + The delta communities. + community_id_mapping : dict + The community id mapping. + + Returns + ------- + pd.DataFrame + The updated communities. + """ + # Check if size and period columns exist in the old_communities. If not, add them + if "size" not in old_communities.columns: + old_communities["size"] = None + if "period" not in old_communities.columns: + old_communities["period"] = None + + # Same for delta_communities + if "size" not in delta_communities.columns: + delta_communities["size"] = None + if "period" not in delta_communities.columns: + delta_communities["period"] = None + + # Look for community ids in community and replace them with the corresponding id in the mapping + delta_communities["community"] = ( + delta_communities["community"] + .astype(int) + .apply(lambda x: community_id_mapping.get(x, x)) + ) + + old_communities["community"] = old_communities["community"].astype(int) + + # Merge the final communities + merged_communities = pd.concat( + [old_communities, delta_communities], ignore_index=True, copy=False + ) + + # Rename title + merged_communities["title"] = "Community " + merged_communities["community"].astype( + str + ) + # Re-assign the human_readable_id + merged_communities["human_readable_id"] = merged_communities["community"] + + return merged_communities.loc[ + :, + [ + "id", + "human_readable_id", + "community", + "level", + "title", + "entity_ids", + "relationship_ids", + "text_unit_ids", + "period", + "size", + ], + ] + + +def _update_and_merge_community_reports( + old_community_reports: pd.DataFrame, + delta_community_reports: pd.DataFrame, + community_id_mapping: dict, +) -> pd.DataFrame: + """Update and merge community reports. + + Parameters + ---------- + old_community_reports : pd.DataFrame + The old community reports. + delta_community_reports : pd.DataFrame + The delta community reports. + community_id_mapping : dict + The community id mapping. + + Returns + ------- + pd.DataFrame + The updated community reports. + """ + # Check if size and period columns exist in the old_community_reports. If not, add them + if "size" not in old_community_reports.columns: + old_community_reports["size"] = None + if "period" not in old_community_reports.columns: + old_community_reports["period"] = None + + # Same for delta_community_reports + if "size" not in delta_community_reports.columns: + delta_community_reports["size"] = None + if "period" not in delta_community_reports.columns: + delta_community_reports["period"] = None + + # Look for community ids in community and replace them with the corresponding id in the mapping + delta_community_reports["community"] = ( + delta_community_reports["community"] + .astype(int) + .apply(lambda x: community_id_mapping.get(x, x)) + ) + + old_community_reports["community"] = old_community_reports["community"].astype(int) + + # Merge the final community reports + merged_community_reports = pd.concat( + [old_community_reports, delta_community_reports], ignore_index=True, copy=False + ) + + # Maintain type compat with query + merged_community_reports["community"] = merged_community_reports[ + "community" + ].astype(int) + # Re-assign the human_readable_id + merged_community_reports["human_readable_id"] = merged_community_reports[ + "community" + ] + + return merged_community_reports.loc[ + :, + [ + "id", + "human_readable_id", + "community", + "level", + "title", + "summary", + "full_content", + "rank", + "rank_explanation", + "findings", + "full_content_json", + "period", + "size", + ], + ] diff --git a/graphrag/index/update/entities.py b/graphrag/index/update/entities.py new file mode 100644 index 0000000000..6f59bb81ef --- /dev/null +++ b/graphrag/index/update/entities.py @@ -0,0 +1,138 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Entity related operations and utils for Incremental Indexing.""" + +import asyncio +import itertools + +import numpy as np +import pandas as pd +from datashaper import VerbCallbacks + +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.config.pipeline import PipelineConfig +from graphrag.index.operations.summarize_descriptions.strategies import ( + run_graph_intelligence as run_entity_summarization, +) +from graphrag.index.run.workflow import _find_workflow_config + + +def _group_and_resolve_entities( + old_entities_df: pd.DataFrame, delta_entities_df: pd.DataFrame +) -> tuple[pd.DataFrame, dict]: + """Group and resolve entities. + + Parameters + ---------- + old_entities_df : pd.DataFrame + The first dataframe. + delta_entities_df : pd.DataFrame + The delta dataframe. + + Returns + ------- + pd.DataFrame + The resolved dataframe. + dict + The id mapping for existing entities. In the form of {df_b.id: df_a.id}. + """ + # If a title exists in A and B, make a dictionary for {B.id : A.id} + merged = delta_entities_df[["id", "title"]].merge( + old_entities_df[["id", "title"]], + on="title", + suffixes=("_B", "_A"), + copy=False, + ) + id_mapping = dict(zip(merged["id_B"], merged["id_A"], strict=True)) + + # Increment human readable id in b by the max of a + initial_id = old_entities_df["human_readable_id"].max() + 1 + delta_entities_df["human_readable_id"] = np.arange( + initial_id, initial_id + len(delta_entities_df) + ) + # Concat A and B + combined = pd.concat( + [old_entities_df, delta_entities_df], ignore_index=True, copy=False + ) + + # Group by title and resolve conflicts + aggregated = ( + combined.groupby("title") + .agg({ + "id": "first", + "type": "first", + "human_readable_id": "first", + "description": lambda x: list(x.astype(str)), # Ensure str + # Concatenate nd.array into a single list + "text_unit_ids": lambda x: list(itertools.chain(*x.tolist())), + }) + .reset_index() + ) + + # Force the result into a DataFrame + resolved: pd.DataFrame = pd.DataFrame(aggregated) + + # Modify column order to keep consistency + resolved = resolved.loc[ + :, + [ + "id", + "human_readable_id", + "title", + "type", + "description", + "text_unit_ids", + ], + ] + + return resolved, id_mapping + + +async def _run_entity_summarization( + entities_df: pd.DataFrame, + config: PipelineConfig, + cache: PipelineCache, + callbacks: VerbCallbacks, +) -> pd.DataFrame: + """Run entity summarization. + + Parameters + ---------- + entities_df : pd.DataFrame + The entities dataframe. + config : PipelineConfig + The pipeline configuration. + cache : PipelineCache + Pipeline cache used during the summarization process. + + Returns + ------- + pd.DataFrame + The updated entities dataframe with summarized descriptions. + """ + summarize_config = _find_workflow_config( + config, "create_base_entity_graph", "summarize_descriptions" + ) + strategy = summarize_config.get("strategy", {}) + + # Prepare tasks for async summarization where needed + async def process_row(row): + description = row["description"] + if isinstance(description, list) and len(description) > 1: + # Run entity summarization asynchronously + result = await run_entity_summarization( + row["title"], description, callbacks, cache, strategy + ) + return result.description + # Handle case where description is a single-item list or not a list + return description[0] if isinstance(description, list) else description + + # Create a list of async tasks for summarization + tasks = [process_row(row) for _, row in entities_df.iterrows()] + results = await asyncio.gather(*tasks) + + # Update the 'description' column in the DataFrame + entities_df["description"] = results + + return entities_df diff --git a/graphrag/index/update/incremental_index.py b/graphrag/index/update/incremental_index.py new file mode 100644 index 0000000000..abebfd7e0d --- /dev/null +++ b/graphrag/index/update/incremental_index.py @@ -0,0 +1,385 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Dataframe operations and utils for Incremental Indexing.""" + +from dataclasses import dataclass + +import numpy as np +import pandas as pd +from datashaper import VerbCallbacks + +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.config.pipeline import PipelineConfig +from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings +from graphrag.index.run.workflow import _find_workflow_config +from graphrag.index.storage.pipeline_storage import PipelineStorage +from graphrag.index.update.communities import ( + _merge_and_resolve_nodes, + _update_and_merge_communities, + _update_and_merge_community_reports, +) +from graphrag.index.update.entities import ( + _group_and_resolve_entities, + _run_entity_summarization, +) +from graphrag.index.update.relationships import _update_and_merge_relationships +from graphrag.logging.print_progress import ProgressReporter +from graphrag.utils.storage import _load_table_from_storage + + +@dataclass +class InputDelta: + """Dataclass to hold the input delta. + + Attributes + ---------- + new_inputs : pd.DataFrame + The new inputs. + deleted_inputs : pd.DataFrame + The deleted inputs. + """ + + new_inputs: pd.DataFrame + deleted_inputs: pd.DataFrame + + +async def get_delta_docs( + input_dataset: pd.DataFrame, storage: PipelineStorage +) -> InputDelta: + """Get the delta between the input dataset and the final documents. + + Parameters + ---------- + input_dataset : pd.DataFrame + The input dataset. + storage : PipelineStorage + The Pipeline storage. + + Returns + ------- + InputDelta + The input delta. With new inputs and deleted inputs. + """ + final_docs = await _load_table_from_storage( + "create_final_documents.parquet", storage + ) + + # Select distinct title from final docs and from dataset + previous_docs: list[str] = final_docs["title"].unique().tolist() + dataset_docs: list[str] = input_dataset["title"].unique().tolist() + + # Get the new documents (using loc to ensure DataFrame) + new_docs = input_dataset.loc[~input_dataset["title"].isin(previous_docs)] + + # Get the deleted documents (again using loc to ensure DataFrame) + deleted_docs = final_docs.loc[~final_docs["title"].isin(dataset_docs)] + + return InputDelta(new_docs, deleted_docs) + + +async def update_dataframe_outputs( + dataframe_dict: dict[str, pd.DataFrame], + storage: PipelineStorage, + update_storage: PipelineStorage, + config: PipelineConfig, + cache: PipelineCache, + callbacks: VerbCallbacks, + progress_reporter: ProgressReporter, +) -> None: + """Update the mergeable outputs. + + Parameters + ---------- + dataframe_dict : dict[str, pd.DataFrame] + The dictionary of dataframes. + storage : PipelineStorage + The storage used to store the dataframes. + """ + progress_reporter.info("Updating Final Documents") + final_documents_df = await _concat_dataframes( + "create_final_documents", dataframe_dict, storage, update_storage + ) + + # Update entities and merge them + progress_reporter.info("Updating Final Entities") + merged_entities_df, entity_id_mapping = await _update_entities( + dataframe_dict, storage, update_storage, config, cache, callbacks + ) + + # Update relationships with the entities id mapping + progress_reporter.info("Updating Final Relationships") + merged_relationships_df = await _update_relationships( + dataframe_dict, storage, update_storage + ) + + # Update and merge final text units + progress_reporter.info("Updating Final Text Units") + merged_text_units = await _update_text_units( + dataframe_dict, storage, update_storage, entity_id_mapping + ) + + # Merge final covariates + if ( + await storage.has("create_final_covariates.parquet") + and "create_final_covariates" in dataframe_dict + ): + progress_reporter.info("Updating Final Covariates") + await _update_covariates(dataframe_dict, storage, update_storage) + + # Merge final nodes and update community ids + progress_reporter.info("Updating Final Nodes") + _, community_id_mapping = await _update_nodes( + dataframe_dict, storage, update_storage, merged_entities_df + ) + + # Merge final communities + progress_reporter.info("Updating Final Communities") + await _update_communities( + dataframe_dict, storage, update_storage, community_id_mapping + ) + + # Merge community reports + progress_reporter.info("Updating Final Community Reports") + merged_community_reports = await _update_community_reports( + dataframe_dict, storage, update_storage, community_id_mapping + ) + + # Extract the embeddings config + embeddings_config = _find_workflow_config( + config=config, workflow_name="generate_text_embeddings" + ) + + # Generate text embeddings + progress_reporter.info("Updating Text Embeddings") + await generate_text_embeddings( + final_documents=final_documents_df, + final_relationships=merged_relationships_df, + final_text_units=merged_text_units, + final_entities=merged_entities_df, + final_community_reports=merged_community_reports, + callbacks=callbacks, + cache=cache, + storage=update_storage, + text_embed_config=embeddings_config.get("text_embed", {}), + embedded_fields=embeddings_config.get("embedded_fields", {}), + snapshot_embeddings_enabled=embeddings_config.get("snapshot_embeddings", False), + ) + + +async def _update_community_reports( + dataframe_dict, storage, update_storage, community_id_mapping +): + """Update the community reports output.""" + old_community_reports = await _load_table_from_storage( + "create_final_community_reports.parquet", storage + ) + delta_community_reports = dataframe_dict["create_final_community_reports"] + + merged_community_reports = _update_and_merge_community_reports( + old_community_reports, delta_community_reports, community_id_mapping + ) + + await update_storage.set( + "create_final_community_reports.parquet", + merged_community_reports.to_parquet(), + ) + + return merged_community_reports + + +async def _update_communities( + dataframe_dict, storage, update_storage, community_id_mapping +): + """Update the communities output.""" + old_communities = await _load_table_from_storage( + "create_final_communities.parquet", storage + ) + delta_communities = dataframe_dict["create_final_communities"] + merged_communities = _update_and_merge_communities( + old_communities, delta_communities, community_id_mapping + ) + + await update_storage.set( + "create_final_communities.parquet", merged_communities.to_parquet() + ) + + +async def _update_nodes(dataframe_dict, storage, update_storage, merged_entities_df): + """Update the nodes output.""" + old_nodes = await _load_table_from_storage("create_final_nodes.parquet", storage) + delta_nodes = dataframe_dict["create_final_nodes"] + + merged_nodes, community_id_mapping = _merge_and_resolve_nodes( + old_nodes, delta_nodes, merged_entities_df + ) + + await update_storage.set("create_final_nodes.parquet", merged_nodes.to_parquet()) + return merged_nodes, community_id_mapping + + +async def _update_covariates(dataframe_dict, storage, update_storage): + """Update the covariates output.""" + old_covariates = await _load_table_from_storage( + "create_final_covariates.parquet", storage + ) + delta_covariates = dataframe_dict["create_final_covariates"] + + merged_covariates = _merge_covariates(old_covariates, delta_covariates) + await update_storage.set( + "create_final_covariates.parquet", merged_covariates.to_parquet() + ) + + +async def _update_text_units( + dataframe_dict, storage, update_storage, entity_id_mapping +): + """Update the text units output.""" + old_text_units = await _load_table_from_storage( + "create_final_text_units.parquet", storage + ) + delta_text_units = dataframe_dict["create_final_text_units"] + + merged_text_units = _update_and_merge_text_units( + old_text_units, delta_text_units, entity_id_mapping + ) + + await update_storage.set( + "create_final_text_units.parquet", merged_text_units.to_parquet() + ) + + return merged_text_units + + +async def _update_relationships(dataframe_dict, storage, update_storage): + """Update the relationships output.""" + old_relationships = await _load_table_from_storage( + "create_final_relationships.parquet", storage + ) + delta_relationships = dataframe_dict["create_final_relationships"] + merged_relationships_df = _update_and_merge_relationships( + old_relationships, + delta_relationships, + ) + + await update_storage.set( + "create_final_relationships.parquet", merged_relationships_df.to_parquet() + ) + + return merged_relationships_df + + +async def _update_entities( + dataframe_dict, storage, update_storage, config, cache, callbacks +): + """Update Final Entities output.""" + old_entities = await _load_table_from_storage( + "create_final_entities.parquet", storage + ) + delta_entities = dataframe_dict["create_final_entities"] + + merged_entities_df, entity_id_mapping = _group_and_resolve_entities( + old_entities, delta_entities + ) + + # Re-run description summarization + merged_entities_df = await _run_entity_summarization( + merged_entities_df, + config, + cache, + callbacks, + ) + + # Save the updated entities back to storage + await update_storage.set( + "create_final_entities.parquet", merged_entities_df.to_parquet() + ) + + return merged_entities_df, entity_id_mapping + + +async def _concat_dataframes(name, dataframe_dict, storage, update_storage): + """Concatenate dataframes. + + Parameters + ---------- + name : str + The name of the dataframe to concatenate. + dataframe_dict : dict[str, pd.DataFrame] + The dictionary of dataframes from a pipeline run. + storage : PipelineStorage + The storage used to store the dataframes. + """ + old_df = await _load_table_from_storage(f"{name}.parquet", storage) + delta_df = dataframe_dict[name] + + # Merge the final documents + final_df = pd.concat([old_df, delta_df], copy=False) + + await update_storage.set(f"{name}.parquet", final_df.to_parquet()) + return final_df + + +def _update_and_merge_text_units( + old_text_units: pd.DataFrame, + delta_text_units: pd.DataFrame, + entity_id_mapping: dict, +) -> pd.DataFrame: + """Update and merge text units. + + Parameters + ---------- + old_text_units : pd.DataFrame + The old text units. + delta_text_units : pd.DataFrame + The delta text units. + entity_id_mapping : dict + The entity id mapping. + + Returns + ------- + pd.DataFrame + The updated text units. + """ + # Look for entity ids in entity_ids and replace them with the corresponding id in the mapping + if entity_id_mapping: + delta_text_units["entity_ids"] = delta_text_units["entity_ids"].apply( + lambda x: [entity_id_mapping.get(i, i) for i in x] if x is not None else x + ) + + # Merge the final text units + return pd.concat([old_text_units, delta_text_units], ignore_index=True, copy=False) + + +def _merge_covariates( + old_covariates: pd.DataFrame, delta_covariates: pd.DataFrame +) -> pd.DataFrame: + """Merge the covariates. + + Parameters + ---------- + old_covariates : pd.DataFrame + The old covariates. + delta_covariates : pd.DataFrame + The delta covariates. + + Returns + ------- + pd.DataFrame + The merged covariates. + """ + # Get the max human readable id from the old covariates and update the delta covariates + old_covariates["human_readable_id"] = old_covariates["human_readable_id"].astype( + int + ) + delta_covariates["human_readable_id"] = delta_covariates[ + "human_readable_id" + ].astype(int) + + initial_id = old_covariates["human_readable_id"].max() + 1 + delta_covariates["human_readable_id"] = np.arange( + initial_id, initial_id + len(delta_covariates) + ) + + # Concatenate the old and delta covariates + return pd.concat([old_covariates, delta_covariates], ignore_index=True, copy=False) diff --git a/graphrag/index/update/relationships.py b/graphrag/index/update/relationships.py new file mode 100644 index 0000000000..4d5899ad2f --- /dev/null +++ b/graphrag/index/update/relationships.py @@ -0,0 +1,72 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Relationship related operations and utils for Incremental Indexing.""" + +import numpy as np +import pandas as pd + + +def _update_and_merge_relationships( + old_relationships: pd.DataFrame, delta_relationships: pd.DataFrame +) -> pd.DataFrame: + """Update and merge relationships. + + Parameters + ---------- + old_relationships : pd.DataFrame + The old relationships. + delta_relationships : pd.DataFrame + The delta relationships. + + Returns + ------- + pd.DataFrame + The updated relationships. + """ + # Increment the human readable id in b by the max of a + # Ensure both columns are integers + delta_relationships["human_readable_id"] = delta_relationships[ + "human_readable_id" + ].astype(int) + old_relationships["human_readable_id"] = old_relationships[ + "human_readable_id" + ].astype(int) + + # Adjust delta_relationships IDs to be greater than any in old_relationships + initial_id = old_relationships["human_readable_id"].max() + 1 + delta_relationships["human_readable_id"] = np.arange( + initial_id, initial_id + len(delta_relationships) + ) + + # Merge the DataFrames without copying if possible + final_relationships = pd.concat( + [old_relationships, delta_relationships], ignore_index=True, copy=False + ) + + # Recalculate target and source degrees + final_relationships["source_degree"] = final_relationships.groupby("source")[ + "target" + ].transform("count") + final_relationships["target_degree"] = final_relationships.groupby("target")[ + "source" + ].transform("count") + + # Recalculate the combined_degree of the relationships (source degree + target degree) + final_relationships["combined_degree"] = ( + final_relationships["source_degree"] + final_relationships["target_degree"] + ) + + return final_relationships.loc[ + :, + [ + "id", + "human_readable_id", + "source", + "target", + "description", + "weight", + "combined_degree", + "text_unit_ids", + ], + ] diff --git a/graphrag/index/utils/__init__.py b/graphrag/index/utils/__init__.py index 3a8b1c0027..d1737fc9be 100644 --- a/graphrag/index/utils/__init__.py +++ b/graphrag/index/utils/__init__.py @@ -2,26 +2,3 @@ # Licensed under the MIT License """Utils methods definition.""" - -from .dicts import dict_has_keys_with_types -from .hashing import gen_md5_hash -from .is_null import is_null -from .json import clean_up_json -from .load_graph import load_graph -from .string import clean_str -from .tokens import num_tokens_from_string, string_from_tokens -from .topological_sort import topological_sort -from .uuid import gen_uuid - -__all__ = [ - "clean_str", - "clean_up_json", - "dict_has_keys_with_types", - "gen_md5_hash", - "gen_uuid", - "is_null", - "load_graph", - "num_tokens_from_string", - "string_from_tokens", - "topological_sort", -] diff --git a/graphrag/index/utils/dicts.py b/graphrag/index/utils/dicts.py index 4d3662e0b8..e7ee7462d8 100644 --- a/graphrag/index/utils/dicts.py +++ b/graphrag/index/utils/dicts.py @@ -5,7 +5,7 @@ def dict_has_keys_with_types( - data: dict, expected_fields: list[tuple[str, type]] + data: dict, expected_fields: list[tuple[str, type]], inplace: bool = False ) -> bool: """Return True if the given dictionary has the given keys with the given types.""" for field, field_type in expected_fields: @@ -13,6 +13,10 @@ def dict_has_keys_with_types( return False value = data[field] - if not isinstance(value, field_type): + try: + cast_value = field_type(value) + if inplace: + data[field] = cast_value + except (TypeError, ValueError): return False return True diff --git a/graphrag/index/utils/json.py b/graphrag/index/utils/json.py deleted file mode 100644 index ed6c06665d..0000000000 --- a/graphrag/index/utils/json.py +++ /dev/null @@ -1,27 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""JSON cleaning and formatting utilities.""" - - -def clean_up_json(json_str: str): - """Clean up json string.""" - json_str = ( - json_str.replace("\\n", "") - .replace("\n", "") - .replace("\r", "") - .replace('"[{', "[{") - .replace('}]"', "}]") - .replace("\\", "") - .strip() - ) - - # Remove JSON Markdown Frame - if json_str.startswith("```json"): - json_str = json_str[len("```json") :] - if json_str.startswith("json"): - json_str = json_str[len("json") :] - if json_str.endswith("```"): - json_str = json_str[: len(json_str) - len("```")] - - return json_str diff --git a/graphrag/index/validate_config.py b/graphrag/index/validate_config.py new file mode 100644 index 0000000000..11d7fd8390 --- /dev/null +++ b/graphrag/index/validate_config.py @@ -0,0 +1,48 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing validate_config_names definition.""" + +import asyncio +import sys + +from datashaper import NoopVerbCallbacks + +from graphrag.config.models.graph_rag_config import GraphRagConfig +from graphrag.index.llm.load_llm import load_llm, load_llm_embeddings +from graphrag.logging.print_progress import ProgressReporter + + +def validate_config_names( + reporter: ProgressReporter, parameters: GraphRagConfig +) -> None: + """Validate config file for LLM deployment name typos.""" + # Validate Chat LLM configs + llm = load_llm( + "test-llm", + parameters.llm.type, + NoopVerbCallbacks(), + None, + parameters.llm.model_dump(), + ) + try: + asyncio.run(llm("This is an LLM connectivity test. Say Hello World")) + reporter.success("LLM Config Params Validated") + except Exception as e: # noqa: BLE001 + reporter.error(f"LLM configuration error detected. Exiting...\n{e}") + sys.exit(1) + + # Validate Embeddings LLM configs + embed_llm = load_llm_embeddings( + "test-embed-llm", + parameters.embeddings.llm.type, + NoopVerbCallbacks(), + None, + parameters.embeddings.llm.model_dump(), + ) + try: + asyncio.run(embed_llm(["This is an LLM Embedding Test String"])) + reporter.success("Embedding LLM Config Params Validated") + except Exception as e: # noqa: BLE001 + reporter.error(f"Embedding LLM configuration error detected. Exiting...\n{e}") + sys.exit(1) diff --git a/graphrag/index/verbs/__init__.py b/graphrag/index/verbs/__init__.py deleted file mode 100644 index 379c2a3749..0000000000 --- a/graphrag/index/verbs/__init__.py +++ /dev/null @@ -1,50 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing get_default_verbs method definition.""" - -from .covariates import extract_covariates -from .entities import entity_extract, summarize_descriptions -from .genid import genid -from .graph import ( - cluster_graph, - create_community_reports, - create_graph, - embed_graph, - layout_graph, - merge_graphs, - unpack_graph, -) -from .overrides import aggregate, concat, merge -from .snapshot import snapshot -from .snapshot_rows import snapshot_rows -from .spread_json import spread_json -from .text import chunk, text_embed, text_split, text_translate -from .unzip import unzip -from .zip import zip_verb - -__all__ = [ - "aggregate", - "chunk", - "cluster_graph", - "concat", - "create_community_reports", - "create_graph", - "embed_graph", - "entity_extract", - "extract_covariates", - "genid", - "layout_graph", - "merge", - "merge_graphs", - "snapshot", - "snapshot_rows", - "spread_json", - "summarize_descriptions", - "text_embed", - "text_split", - "text_translate", - "unpack_graph", - "unzip", - "zip_verb", -] diff --git a/graphrag/index/verbs/covariates/__init__.py b/graphrag/index/verbs/covariates/__init__.py deleted file mode 100644 index cdebee228b..0000000000 --- a/graphrag/index/verbs/covariates/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine covariates package root.""" - -from .extract_covariates import extract_covariates - -__all__ = ["extract_covariates"] diff --git a/graphrag/index/verbs/covariates/extract_covariates/strategies/__init__.py b/graphrag/index/verbs/covariates/extract_covariates/strategies/__init__.py deleted file mode 100644 index 605c66f8d1..0000000000 --- a/graphrag/index/verbs/covariates/extract_covariates/strategies/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine text extract claims strategies package root.""" diff --git a/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/__init__.py b/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/__init__.py deleted file mode 100644 index ab01f06fc4..0000000000 --- a/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine text extract claims strategies graph intelligence package root.""" - -from .run_gi_extract_claims import run - -__all__ = ["run"] diff --git a/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/defaults.py b/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/defaults.py deleted file mode 100644 index 846bfa81e0..0000000000 --- a/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/defaults.py +++ /dev/null @@ -1,21 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A file containing MOCK_LLM_RESPONSES definition.""" - -MOCK_LLM_RESPONSES = [ - """ -[ - { - "subject": "COMPANY A", - "object": "GOVERNMENT AGENCY B", - "type": "ANTI-COMPETITIVE PRACTICES", - "status": "TRUE", - "start_date": "2022-01-10T00:00:00", - "end_date": "2022-01-10T00:00:00", - "description": "Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10", - "source_text": ["According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B."] - } -] - """.strip() -] diff --git a/graphrag/index/verbs/entities/__init__.py b/graphrag/index/verbs/entities/__init__.py deleted file mode 100644 index 2f55d710e9..0000000000 --- a/graphrag/index/verbs/entities/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine entities package root.""" - -from .extraction import entity_extract -from .summarize import summarize_descriptions - -__all__ = ["entity_extract", "summarize_descriptions"] diff --git a/graphrag/index/verbs/entities/extraction/__init__.py b/graphrag/index/verbs/entities/extraction/__init__.py deleted file mode 100644 index 46e6d54581..0000000000 --- a/graphrag/index/verbs/entities/extraction/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine entities extraction package root.""" - -from .entity_extract import ExtractEntityStrategyType, entity_extract - -__all__ = ["ExtractEntityStrategyType", "entity_extract"] diff --git a/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/__init__.py b/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/__init__.py deleted file mode 100644 index 083c0e4112..0000000000 --- a/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine graph intelligence package root.""" - -from .run_graph_intelligence import run_gi - -__all__ = ["run_gi"] diff --git a/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/defaults.py b/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/defaults.py deleted file mode 100644 index 237e6657c8..0000000000 --- a/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/defaults.py +++ /dev/null @@ -1,25 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A file containing some default responses.""" - -from graphrag.config.enums import LLMType - -MOCK_LLM_RESPONSES = [ - """ - ("entity"<|>COMPANY_A<|>COMPANY<|>Company_A is a test company) - ## - ("entity"<|>COMPANY_B<|>COMPANY<|>Company_B owns Company_A and also shares an address with Company_A) - ## - ("entity"<|>PERSON_C<|>PERSON<|>Person_C is director of Company_A) - ## - ("relationship"<|>COMPANY_A<|>COMPANY_B<|>Company_A and Company_B are related because Company_A is 100% owned by Company_B and the two companies also share the same address)<|>2) - ## - ("relationship"<|>COMPANY_A<|>PERSON_C<|>Company_A and Person_C are related because Person_C is director of Company_A<|>1)) - """.strip() -] - -DEFAULT_LLM_CONFIG = { - "type": LLMType.StaticResponse, - "responses": MOCK_LLM_RESPONSES, -} diff --git a/graphrag/index/verbs/entities/summarize/__init__.py b/graphrag/index/verbs/entities/summarize/__init__.py deleted file mode 100644 index 9ba401295e..0000000000 --- a/graphrag/index/verbs/entities/summarize/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Root package for resolution entities.""" - -from .description_summarize import SummarizeStrategyType, summarize_descriptions - -__all__ = ["SummarizeStrategyType", "summarize_descriptions"] diff --git a/graphrag/index/verbs/entities/summarize/strategies/__init__.py b/graphrag/index/verbs/entities/summarize/strategies/__init__.py deleted file mode 100644 index 28c398e6ac..0000000000 --- a/graphrag/index/verbs/entities/summarize/strategies/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Indexing Engine - Summarization Strategies Package.""" - -from .typing import SummarizationStrategy - -__all__ = ["SummarizationStrategy"] diff --git a/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/__init__.py b/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/__init__.py deleted file mode 100644 index 665600d0fb..0000000000 --- a/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Entity Resolution graph intelligence package root.""" - -from .run_graph_intelligence import run - -__all__ = ["run"] diff --git a/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/defaults.py b/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/defaults.py deleted file mode 100644 index 8ac42aa13d..0000000000 --- a/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/defaults.py +++ /dev/null @@ -1,17 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A file containing some default responses.""" - -from graphrag.config.enums import LLMType - -MOCK_LLM_RESPONSES = [ - """ - This is a MOCK response for the LLM. It is summarized! - """.strip() -] - -DEFAULT_LLM_CONFIG = { - "type": LLMType.StaticResponse, - "responses": MOCK_LLM_RESPONSES, -} diff --git a/graphrag/index/verbs/genid.py b/graphrag/index/verbs/genid.py deleted file mode 100644 index 019ffc2da0..0000000000 --- a/graphrag/index/verbs/genid.py +++ /dev/null @@ -1,66 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing genid method definition.""" - -from typing import cast - -import pandas as pd -from datashaper import TableContainer, VerbInput, verb - -from graphrag.index.utils import gen_md5_hash - - -@verb(name="genid") -def genid( - input: VerbInput, - to: str, - method: str = "md5_hash", - hash: list[str] = [], # noqa A002 - **_kwargs: dict, -) -> TableContainer: - """ - Generate a unique id for each row in the tabular data. - - ## Usage - ### json - ```json - { - "verb": "genid", - "args": { - "to": "id_output_column_name", /* The name of the column to output the id to */ - "method": "md5_hash", /* The method to use to generate the id */ - "hash": ["list", "of", "column", "names"] /* only if using md5_hash */, - "seed": 034324 /* The random seed to use with UUID */ - } - } - ``` - - ### yaml - ```yaml - verb: genid - args: - to: id_output_column_name - method: md5_hash - hash: - - list - - of - - column - - names - seed: 034324 - ``` - """ - data = cast(pd.DataFrame, input.source.table) - - if method == "md5_hash": - if len(hash) == 0: - msg = 'Must specify the "hash" columns to use md5_hash method' - raise ValueError(msg) - - data[to] = data.apply(lambda row: gen_md5_hash(row, hash), axis=1) - elif method == "increment": - data[to] = data.index + 1 - else: - msg = f"Unknown method {method}" - raise ValueError(msg) - return TableContainer(table=data) diff --git a/graphrag/index/verbs/graph/__init__.py b/graphrag/index/verbs/graph/__init__.py deleted file mode 100644 index 5edbdbe530..0000000000 --- a/graphrag/index/verbs/graph/__init__.py +++ /dev/null @@ -1,36 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine graph package root.""" - -from .clustering import cluster_graph -from .compute_edge_combined_degree import compute_edge_combined_degree -from .create import DEFAULT_EDGE_ATTRIBUTES, DEFAULT_NODE_ATTRIBUTES, create_graph -from .embed import embed_graph -from .layout import layout_graph -from .merge import merge_graphs -from .report import ( - create_community_reports, - prepare_community_reports, - prepare_community_reports_claims, - prepare_community_reports_edges, - restore_community_hierarchy, -) -from .unpack import unpack_graph - -__all__ = [ - "DEFAULT_EDGE_ATTRIBUTES", - "DEFAULT_NODE_ATTRIBUTES", - "cluster_graph", - "compute_edge_combined_degree", - "create_community_reports", - "create_graph", - "embed_graph", - "layout_graph", - "merge_graphs", - "prepare_community_reports", - "prepare_community_reports_claims", - "prepare_community_reports_edges", - "restore_community_hierarchy", - "unpack_graph", -] diff --git a/graphrag/index/verbs/graph/clustering/__init__.py b/graphrag/index/verbs/graph/clustering/__init__.py deleted file mode 100644 index a5db89bb7f..0000000000 --- a/graphrag/index/verbs/graph/clustering/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine graph clustering package root.""" - -from .cluster_graph import GraphCommunityStrategyType, cluster_graph - -__all__ = ["GraphCommunityStrategyType", "cluster_graph"] diff --git a/graphrag/index/verbs/graph/clustering/cluster_graph.py b/graphrag/index/verbs/graph/clustering/cluster_graph.py deleted file mode 100644 index e8be50e8ff..0000000000 --- a/graphrag/index/verbs/graph/clustering/cluster_graph.py +++ /dev/null @@ -1,176 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing cluster_graph, apply_clustering and run_layout methods definition.""" - -import logging -from enum import Enum -from random import Random -from typing import Any, cast - -import networkx as nx -import pandas as pd -from datashaper import TableContainer, VerbCallbacks, VerbInput, progress_iterable, verb - -from graphrag.index.utils import gen_uuid, load_graph - -from .typing import Communities - -log = logging.getLogger(__name__) - - -@verb(name="cluster_graph") -def cluster_graph( - input: VerbInput, - callbacks: VerbCallbacks, - strategy: dict[str, Any], - column: str, - to: str, - level_to: str | None = None, - **_kwargs, -) -> TableContainer: - """ - Apply a hierarchical clustering algorithm to a graph. The graph is expected to be in graphml format. The verb outputs a new column containing the clustered graph, and a new column containing the level of the graph. - - ## Usage - ```yaml - verb: cluster_graph - args: - column: entity_graph # The name of the column containing the graph, should be a graphml graph - to: clustered_graph # The name of the column to output the clustered graph to - level_to: level # The name of the column to output the level to - strategy: # See strategies section below - ``` - - ## Strategies - The cluster graph verb uses a strategy to cluster the graph. The strategy is a json object which defines the strategy to use. The following strategies are available: - - ### leiden - This strategy uses the leiden algorithm to cluster a graph. The strategy config is as follows: - ```yaml - strategy: - type: leiden - max_cluster_size: 10 # Optional, The max cluster size to use, default: 10 - use_lcc: true # Optional, if the largest connected component should be used with the leiden algorithm, default: true - seed: 0xDEADBEEF # Optional, the seed to use for the leiden algorithm, default: 0xDEADBEEF - levels: [0, 1] # Optional, the levels to output, default: all the levels detected - - ``` - """ - output_df = cast(pd.DataFrame, input.get_input()) - results = output_df[column].apply(lambda graph: run_layout(strategy, graph)) - - community_map_to = "communities" - output_df[community_map_to] = results - - level_to = level_to or f"{to}_level" - output_df[level_to] = output_df.apply( - lambda x: list({level for level, _, _ in x[community_map_to]}), axis=1 - ) - output_df[to] = [None] * len(output_df) - - num_total = len(output_df) - - # Go through each of the rows - graph_level_pairs_column: list[list[tuple[int, str]]] = [] - for _, row in progress_iterable( - output_df.iterrows(), callbacks.progress, num_total - ): - levels = row[level_to] - graph_level_pairs: list[tuple[int, str]] = [] - - # For each of the levels, get the graph and add it to the list - for level in levels: - graph = "\n".join( - nx.generate_graphml( - apply_clustering( - cast(str, row[column]), - cast(Communities, row[community_map_to]), - level, - ) - ) - ) - graph_level_pairs.append((level, graph)) - graph_level_pairs_column.append(graph_level_pairs) - output_df[to] = graph_level_pairs_column - - # explode the list of (level, graph) pairs into separate rows - output_df = output_df.explode(to, ignore_index=True) - - # split the (level, graph) pairs into separate columns - # TODO: There is probably a better way to do this - output_df[[level_to, to]] = pd.DataFrame( - output_df[to].tolist(), index=output_df.index - ) - - # clean up the community map - output_df.drop(columns=[community_map_to], inplace=True) - - return TableContainer(table=output_df) - - -# TODO: This should support str | nx.Graph as a graphml param -def apply_clustering( - graphml: str, communities: Communities, level=0, seed=0xF001 -) -> nx.Graph: - """Apply clustering to a graphml string.""" - random = Random(seed) # noqa S311 - graph = nx.parse_graphml(graphml) - for community_level, community_id, nodes in communities: - if level == community_level: - for node in nodes: - graph.nodes[node]["cluster"] = community_id - graph.nodes[node]["level"] = level - - # add node degree - for node_degree in graph.degree: - graph.nodes[str(node_degree[0])]["degree"] = int(node_degree[1]) - - # add node uuid and incremental record id (a human readable id used as reference in the final report) - for index, node in enumerate(graph.nodes()): - graph.nodes[node]["human_readable_id"] = index - graph.nodes[node]["id"] = str(gen_uuid(random)) - - # add ids to edges - for index, edge in enumerate(graph.edges()): - graph.edges[edge]["id"] = str(gen_uuid(random)) - graph.edges[edge]["human_readable_id"] = index - graph.edges[edge]["level"] = level - return graph - - -class GraphCommunityStrategyType(str, Enum): - """GraphCommunityStrategyType class definition.""" - - leiden = "leiden" - - def __repr__(self): - """Get a string representation.""" - return f'"{self.value}"' - - -def run_layout( - strategy: dict[str, Any], graphml_or_graph: str | nx.Graph -) -> Communities: - """Run layout method definition.""" - graph = load_graph(graphml_or_graph) - if len(graph.nodes) == 0: - log.warning("Graph has no nodes") - return [] - - clusters: dict[int, dict[str, list[str]]] = {} - strategy_type = strategy.get("type", GraphCommunityStrategyType.leiden) - match strategy_type: - case GraphCommunityStrategyType.leiden: - from .strategies.leiden import run as run_leiden - - clusters = run_leiden(graph, strategy) - case _: - msg = f"Unknown clustering strategy {strategy_type}" - raise ValueError(msg) - - results: Communities = [] - for level in clusters: - for cluster_id, nodes in clusters[level].items(): - results.append((level, cluster_id, nodes)) - return results diff --git a/graphrag/index/verbs/graph/clustering/strategies/leiden.py b/graphrag/index/verbs/graph/clustering/strategies/leiden.py deleted file mode 100644 index ffc3688041..0000000000 --- a/graphrag/index/verbs/graph/clustering/strategies/leiden.py +++ /dev/null @@ -1,69 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing run and _compute_leiden_communities methods definitions.""" - -import logging -from typing import Any - -import networkx as nx -from graspologic.partition import hierarchical_leiden - -from graphrag.index.graph.utils import stable_largest_connected_component - -log = logging.getLogger(__name__) - - -def run(graph: nx.Graph, args: dict[str, Any]) -> dict[int, dict[str, list[str]]]: - """Run method definition.""" - max_cluster_size = args.get("max_cluster_size", 10) - use_lcc = args.get("use_lcc", True) - if args.get("verbose", False): - log.info( - "Running leiden with max_cluster_size=%s, lcc=%s", max_cluster_size, use_lcc - ) - - node_id_to_community_map = _compute_leiden_communities( - graph=graph, - max_cluster_size=max_cluster_size, - use_lcc=use_lcc, - seed=args.get("seed", 0xDEADBEEF), - ) - levels = args.get("levels") - - # If they don't pass in levels, use them all - if levels is None: - levels = sorted(node_id_to_community_map.keys()) - - results_by_level: dict[int, dict[str, list[str]]] = {} - for level in levels: - result = {} - results_by_level[level] = result - for node_id, raw_community_id in node_id_to_community_map[level].items(): - community_id = str(raw_community_id) - if community_id not in result: - result[community_id] = [] - result[community_id].append(node_id) - return results_by_level - - -# Taken from graph_intelligence & adapted -def _compute_leiden_communities( - graph: nx.Graph | nx.DiGraph, - max_cluster_size: int, - use_lcc: bool, - seed=0xDEADBEEF, -) -> dict[int, dict[str, int]]: - """Return Leiden root communities.""" - if use_lcc: - graph = stable_largest_connected_component(graph) - - community_mapping = hierarchical_leiden( - graph, max_cluster_size=max_cluster_size, random_seed=seed - ) - results: dict[int, dict[str, int]] = {} - for partition in community_mapping: - results[partition.level] = results.get(partition.level, {}) - results[partition.level][partition.node] = partition.cluster - - return results diff --git a/graphrag/index/verbs/graph/clustering/typing.py b/graphrag/index/verbs/graph/clustering/typing.py deleted file mode 100644 index 4d6fc7e601..0000000000 --- a/graphrag/index/verbs/graph/clustering/typing.py +++ /dev/null @@ -1,6 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing Communities list definition.""" - -Communities = list[tuple[int, str, list[str]]] diff --git a/graphrag/index/verbs/graph/compute_edge_combined_degree.py b/graphrag/index/verbs/graph/compute_edge_combined_degree.py deleted file mode 100644 index 1f2dd71972..0000000000 --- a/graphrag/index/verbs/graph/compute_edge_combined_degree.py +++ /dev/null @@ -1,70 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition.""" - -from typing import cast - -import pandas as pd -from datashaper import TableContainer, VerbInput, verb - -from graphrag.index.utils.ds_util import get_required_input_table - - -@verb(name="compute_edge_combined_degree") -def compute_edge_combined_degree( - input: VerbInput, - to: str = "rank", - node_name_column: str = "title", - node_degree_column: str = "degree", - edge_source_column: str = "source", - edge_target_column: str = "target", - **_kwargs, -) -> TableContainer: - """ - Compute the combined degree for each edge in a graph. - - Inputs Tables: - - input: The edge table - - nodes: The nodes table. - - Args: - - to: The name of the column to output the combined degree to. Default="rank" - """ - edge_df: pd.DataFrame = cast(pd.DataFrame, input.get_input()) - if to in edge_df.columns: - return TableContainer(table=edge_df) - node_degree_df = _get_node_degree_table(input, node_name_column, node_degree_column) - - def join_to_degree(df: pd.DataFrame, column: str) -> pd.DataFrame: - degree_column = _degree_colname(column) - result = df.merge( - node_degree_df.rename( - columns={node_name_column: column, node_degree_column: degree_column} - ), - on=column, - how="left", - ) - result[degree_column] = result[degree_column].fillna(0) - return result - - edge_df = join_to_degree(edge_df, edge_source_column) - edge_df = join_to_degree(edge_df, edge_target_column) - edge_df[to] = ( - edge_df[_degree_colname(edge_source_column)] - + edge_df[_degree_colname(edge_target_column)] - ) - - return TableContainer(table=edge_df) - - -def _degree_colname(column: str) -> str: - return f"{column}_degree" - - -def _get_node_degree_table( - input: VerbInput, node_name_column: str, node_degree_column: str -) -> pd.DataFrame: - nodes_container = get_required_input_table(input, "nodes") - nodes = cast(pd.DataFrame, nodes_container.table) - return cast(pd.DataFrame, nodes[[node_name_column, node_degree_column]]) diff --git a/graphrag/index/verbs/graph/create.py b/graphrag/index/verbs/graph/create.py deleted file mode 100644 index eaf06284ef..0000000000 --- a/graphrag/index/verbs/graph/create.py +++ /dev/null @@ -1,135 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition.""" - -from typing import Any - -import networkx as nx -import pandas as pd -from datashaper import TableContainer, VerbCallbacks, VerbInput, progress_iterable, verb - -from graphrag.index.utils import clean_str - -DEFAULT_NODE_ATTRIBUTES = ["label", "type", "id", "name", "description", "community"] -DEFAULT_EDGE_ATTRIBUTES = ["label", "type", "name", "source", "target"] - - -@verb(name="create_graph") -def create_graph( - input: VerbInput, - callbacks: VerbCallbacks, - to: str, - type: str, # noqa A002 - graph_type: str = "undirected", - **kwargs, -) -> TableContainer: - """ - Create a graph from a dataframe. The verb outputs a new column containing the graph. - - > Note: This will roll up all rows into a single graph. - - ## Usage - ```yaml - verb: create_graph - args: - type: node # The type of graph to create, one of: node, edge - to: # The name of the column to output the graph to, this will be a graphml graph - attributes: # The attributes for the nodes / edges - # If using the node type, the following attributes are required: - id: - - # If using the edge type, the following attributes are required: - source: - target: - - # Other attributes can be added as follows: - : - ... for each attribute - ``` - """ - if type != "node" and type != "edge": - msg = f"Unknown type {type}" - raise ValueError(msg) - - input_df = input.get_input() - num_total = len(input_df) - out_graph: nx.Graph = _create_nx_graph(graph_type) - - in_attributes = ( - _get_node_attributes(kwargs) if type == "node" else _get_edge_attributes(kwargs) - ) - - # At this point, _get_node_attributes and _get_edge_attributes have already validated - id_col = in_attributes.get( - "id", in_attributes.get("label", in_attributes.get("name", None)) - ) - source_col = in_attributes.get("source", None) - target_col = in_attributes.get("target", None) - - for _, row in progress_iterable(input_df.iterrows(), callbacks.progress, num_total): - item_attributes = { - clean_str(key): _clean_value(row[value]) - for key, value in in_attributes.items() - if value in row - } - if type == "node": - id = clean_str(row[id_col]) - out_graph.add_node(id, **item_attributes) - elif type == "edge": - source = clean_str(row[source_col]) - target = clean_str(row[target_col]) - out_graph.add_edge(source, target, **item_attributes) - - graphml_string = "".join(nx.generate_graphml(out_graph)) - output_df = pd.DataFrame([{to: graphml_string}]) - return TableContainer(table=output_df) - - -def _clean_value(value: Any) -> str: - if value is None: - return "" - if isinstance(value, str): - return clean_str(value) - - msg = f"Value must be a string or None, got {type(value)}" - raise TypeError(msg) - - -def _get_node_attributes(args: dict[str, Any]) -> dict[str, Any]: - mapping = _get_attribute_column_mapping( - args.get("attributes", DEFAULT_NODE_ATTRIBUTES) - ) - if "id" not in mapping and "label" not in mapping and "name" not in mapping: - msg = "You must specify an id, label, or name column in the node attributes" - raise ValueError(msg) - return mapping - - -def _get_edge_attributes(args: dict[str, Any]) -> dict[str, Any]: - mapping = _get_attribute_column_mapping( - args.get("attributes", DEFAULT_EDGE_ATTRIBUTES) - ) - if "source" not in mapping or "target" not in mapping: - msg = "You must specify a source and target column in the edge attributes" - raise ValueError(msg) - return mapping - - -def _get_attribute_column_mapping( - in_attributes: dict[str, Any] | list[str], -) -> dict[str, str]: - # Its already a attribute: column dict - if isinstance(in_attributes, dict): - return { - **in_attributes, - } - - return {attrib: attrib for attrib in in_attributes} - - -def _create_nx_graph(graph_type: str) -> nx.Graph: - if graph_type == "directed": - return nx.DiGraph() - - return nx.Graph() diff --git a/graphrag/index/verbs/graph/embed/__init__.py b/graphrag/index/verbs/graph/embed/__init__.py deleted file mode 100644 index 4ca8168c3c..0000000000 --- a/graphrag/index/verbs/graph/embed/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine graph embed package root.""" - -from .embed_graph import EmbedGraphStrategyType, embed_graph - -__all__ = ["EmbedGraphStrategyType", "embed_graph"] diff --git a/graphrag/index/verbs/graph/embed/strategies/node_2_vec.py b/graphrag/index/verbs/graph/embed/strategies/node_2_vec.py deleted file mode 100644 index eb329519ed..0000000000 --- a/graphrag/index/verbs/graph/embed/strategies/node_2_vec.py +++ /dev/null @@ -1,34 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing run method definition.""" - -from typing import Any - -import networkx as nx - -from graphrag.index.graph.embedding import embed_nod2vec -from graphrag.index.graph.utils import stable_largest_connected_component -from graphrag.index.verbs.graph.embed.typing import NodeEmbeddings - - -def run(graph: nx.Graph, args: dict[str, Any]) -> NodeEmbeddings: - """Run method definition.""" - if args.get("use_lcc", True): - graph = stable_largest_connected_component(graph) - - # create graph embedding using node2vec - embeddings = embed_nod2vec( - graph=graph, - dimensions=args.get("dimensions", 1536), - num_walks=args.get("num_walks", 10), - walk_length=args.get("walk_length", 40), - window_size=args.get("window_size", 2), - iterations=args.get("iterations", 3), - random_seed=args.get("random_seed", 86), - ) - - pairs = zip(embeddings.nodes, embeddings.embeddings.tolist(), strict=True) - sorted_pairs = sorted(pairs, key=lambda x: x[0]) - - return dict(sorted_pairs) diff --git a/graphrag/index/verbs/graph/merge/__init__.py b/graphrag/index/verbs/graph/merge/__init__.py deleted file mode 100644 index f718827942..0000000000 --- a/graphrag/index/verbs/graph/merge/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine graph merge package root.""" - -from .merge_graphs import merge_graphs - -__all__ = ["merge_graphs"] diff --git a/graphrag/index/verbs/graph/merge/defaults.py b/graphrag/index/verbs/graph/merge/defaults.py deleted file mode 100644 index 80c60331c6..0000000000 --- a/graphrag/index/verbs/graph/merge/defaults.py +++ /dev/null @@ -1,21 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A file containing DEFAULT_NODE_OPERATIONS, DEFAULT_EDGE_OPERATIONS and DEFAULT_CONCAT_SEPARATOR values definition.""" - -from .typing import BasicMergeOperation - -DEFAULT_NODE_OPERATIONS = { - "*": { - "operation": BasicMergeOperation.Replace, - } -} - -DEFAULT_EDGE_OPERATIONS = { - "*": { - "operation": BasicMergeOperation.Replace, - }, - "weight": "sum", -} - -DEFAULT_CONCAT_SEPARATOR = "," diff --git a/graphrag/index/verbs/graph/report/__init__.py b/graphrag/index/verbs/graph/report/__init__.py deleted file mode 100644 index e47d9ccef5..0000000000 --- a/graphrag/index/verbs/graph/report/__init__.py +++ /dev/null @@ -1,25 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine graph report package root.""" - -from .create_community_reports import ( - CreateCommunityReportsStrategyType, - create_community_reports, -) -from .prepare_community_reports import prepare_community_reports -from .prepare_community_reports_claims import prepare_community_reports_claims -from .prepare_community_reports_edges import prepare_community_reports_edges -from .prepare_community_reports_nodes import prepare_community_reports_nodes -from .restore_community_hierarchy import restore_community_hierarchy - -__all__ = [ - "CreateCommunityReportsStrategyType", - "create_community_reports", - "create_community_reports", - "prepare_community_reports", - "prepare_community_reports_claims", - "prepare_community_reports_edges", - "prepare_community_reports_nodes", - "restore_community_hierarchy", -] diff --git a/graphrag/index/verbs/graph/report/prepare_community_reports_claims.py b/graphrag/index/verbs/graph/report/prepare_community_reports_claims.py deleted file mode 100644 index aa9a790772..0000000000 --- a/graphrag/index/verbs/graph/report/prepare_community_reports_claims.py +++ /dev/null @@ -1,50 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition.""" - -from typing import cast - -import pandas as pd -from datashaper import TableContainer, VerbInput, verb - -from graphrag.index.graph.extractors.community_reports.schemas import ( - CLAIM_DESCRIPTION, - CLAIM_DETAILS, - CLAIM_ID, - CLAIM_STATUS, - CLAIM_SUBJECT, - CLAIM_TYPE, -) - -_MISSING_DESCRIPTION = "No Description" - - -@verb(name="prepare_community_reports_claims") -def prepare_community_reports_claims( - input: VerbInput, - to: str = CLAIM_DETAILS, - id_column: str = CLAIM_ID, - description_column: str = CLAIM_DESCRIPTION, - subject_column: str = CLAIM_SUBJECT, - type_column: str = CLAIM_TYPE, - status_column: str = CLAIM_STATUS, - **_kwargs, -) -> TableContainer: - """Merge claim details into an object.""" - claim_df: pd.DataFrame = cast(pd.DataFrame, input.get_input()) - claim_df = claim_df.fillna(value={description_column: _MISSING_DESCRIPTION}) - - # merge values of five columns into a map column - claim_df[to] = claim_df.apply( - lambda x: { - id_column: x[id_column], - subject_column: x[subject_column], - type_column: x[type_column], - status_column: x[status_column], - description_column: x[description_column], - }, - axis=1, - ) - - return TableContainer(table=claim_df) diff --git a/graphrag/index/verbs/graph/report/prepare_community_reports_edges.py b/graphrag/index/verbs/graph/report/prepare_community_reports_edges.py deleted file mode 100644 index b568aba006..0000000000 --- a/graphrag/index/verbs/graph/report/prepare_community_reports_edges.py +++ /dev/null @@ -1,48 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition.""" - -from typing import cast - -import pandas as pd -from datashaper import TableContainer, VerbInput, verb - -from graphrag.index.graph.extractors.community_reports.schemas import ( - EDGE_DEGREE, - EDGE_DESCRIPTION, - EDGE_DETAILS, - EDGE_ID, - EDGE_SOURCE, - EDGE_TARGET, -) - -_MISSING_DESCRIPTION = "No Description" - - -@verb(name="prepare_community_reports_edges") -def prepare_community_reports_edges( - input: VerbInput, - to: str = EDGE_DETAILS, - id_column: str = EDGE_ID, - source_column: str = EDGE_SOURCE, - target_column: str = EDGE_TARGET, - description_column: str = EDGE_DESCRIPTION, - degree_column: str = EDGE_DEGREE, - **_kwargs, -) -> TableContainer: - """Merge edge details into an object.""" - edge_df: pd.DataFrame = cast(pd.DataFrame, input.get_input()).fillna( - value={description_column: _MISSING_DESCRIPTION} - ) - edge_df[to] = edge_df.apply( - lambda x: { - id_column: x[id_column], - source_column: x[source_column], - target_column: x[target_column], - description_column: x[description_column], - degree_column: x[degree_column], - }, - axis=1, - ) - return TableContainer(table=edge_df) diff --git a/graphrag/index/verbs/graph/report/prepare_community_reports_nodes.py b/graphrag/index/verbs/graph/report/prepare_community_reports_nodes.py deleted file mode 100644 index f159c125ee..0000000000 --- a/graphrag/index/verbs/graph/report/prepare_community_reports_nodes.py +++ /dev/null @@ -1,46 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition.""" - -from typing import cast - -import pandas as pd -from datashaper import TableContainer, VerbInput, verb - -from graphrag.index.graph.extractors.community_reports.schemas import ( - NODE_DEGREE, - NODE_DESCRIPTION, - NODE_DETAILS, - NODE_ID, - NODE_NAME, -) - -_MISSING_DESCRIPTION = "No Description" - - -@verb(name="prepare_community_reports_nodes") -def prepare_community_reports_nodes( - input: VerbInput, - to: str = NODE_DETAILS, - id_column: str = NODE_ID, - name_column: str = NODE_NAME, - description_column: str = NODE_DESCRIPTION, - degree_column: str = NODE_DEGREE, - **_kwargs, -) -> TableContainer: - """Merge edge details into an object.""" - node_df = cast(pd.DataFrame, input.get_input()) - node_df = node_df.fillna(value={description_column: _MISSING_DESCRIPTION}) - - # merge values of four columns into a map column - node_df[to] = node_df.apply( - lambda x: { - id_column: x[id_column], - name_column: x[name_column], - description_column: x[description_column], - degree_column: x[degree_column], - }, - axis=1, - ) - return TableContainer(table=node_df) diff --git a/graphrag/index/verbs/graph/report/strategies/graph_intelligence/__init__.py b/graphrag/index/verbs/graph/report/strategies/graph_intelligence/__init__.py deleted file mode 100644 index 7f51d7909b..0000000000 --- a/graphrag/index/verbs/graph/report/strategies/graph_intelligence/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine graph report strategies graph intelligence package root.""" - -from .run_graph_intelligence import run - -__all__ = ["run"] diff --git a/graphrag/index/verbs/graph/report/strategies/graph_intelligence/defaults.py b/graphrag/index/verbs/graph/report/strategies/graph_intelligence/defaults.py deleted file mode 100644 index 708d48d2b6..0000000000 --- a/graphrag/index/verbs/graph/report/strategies/graph_intelligence/defaults.py +++ /dev/null @@ -1,26 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A file containing DEFAULT_CHUNK_SIZE and MOCK_RESPONSES definitions.""" - -import json - -DEFAULT_CHUNK_SIZE = 3000 -MOCK_RESPONSES = [ - json.dumps({ - "title": "", - "summary": "", - "rating": 2, - "rating_explanation": "", - "findings": [ - { - "summary": "", - "explanation": "", - "explanation": " TableContainer: - """Aggregate method definition.""" - aggregations_to_apply = _load_aggregations(aggregations) - df_aggregations = { - agg.column: _get_pandas_agg_operation(agg) - for agg in aggregations_to_apply.values() - } - input_table = input.get_input() - callbacks.progress(Progress(percent=0)) - - if groupby is None: - output_grouped = input_table.groupby(lambda _x: True) - else: - output_grouped = input_table.groupby(groupby, sort=False) - output = cast(pd.DataFrame, output_grouped.agg(df_aggregations)) - output.rename( - columns={agg.column: agg.to for agg in aggregations_to_apply.values()}, - inplace=True, - ) - output.columns = [agg.to for agg in aggregations_to_apply.values()] - - callbacks.progress(Progress(percent=1)) - - return TableContainer(table=output.reset_index()) - - -@dataclass -class Aggregation: - """Aggregation class method definition.""" - - column: str | None - operation: str - to: str - - # Only useful for the concat operation - separator: str | None = None - - -def _get_pandas_agg_operation(agg: Aggregation) -> Any: - # TODO: Merge into datashaper - if agg.operation == "string_concat": - return (agg.separator or ",").join - return aggregate_operation_mapping[FieldAggregateOperation(agg.operation)] - - -def _load_aggregations( - aggregations: list[dict[str, Any]], -) -> dict[str, Aggregation]: - return { - aggregation["column"]: Aggregation( - aggregation["column"], aggregation["operation"], aggregation["to"] - ) - for aggregation in aggregations - } diff --git a/graphrag/index/verbs/overrides/concat.py b/graphrag/index/verbs/overrides/concat.py deleted file mode 100644 index 7a0f0e2c32..0000000000 --- a/graphrag/index/verbs/overrides/concat.py +++ /dev/null @@ -1,27 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing concat method definition.""" - -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License -from typing import cast - -import pandas as pd -from datashaper import TableContainer, VerbInput, verb - - -@verb(name="concat_override") -def concat( - input: VerbInput, - columnwise: bool = False, - **_kwargs: dict, -) -> TableContainer: - """Concat method definition.""" - input_table = cast(pd.DataFrame, input.get_input()) - others = cast(list[pd.DataFrame], input.get_others()) - if columnwise: - output = pd.concat([input_table, *others], axis=1) - else: - output = pd.concat([input_table, *others], ignore_index=True) - return TableContainer(table=output) diff --git a/graphrag/index/verbs/overrides/merge.py b/graphrag/index/verbs/overrides/merge.py deleted file mode 100644 index 64684c9828..0000000000 --- a/graphrag/index/verbs/overrides/merge.py +++ /dev/null @@ -1,78 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing merge and _merge_json methods definition.""" - -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License -import logging -from enum import Enum -from typing import Any, cast - -import pandas as pd -from datashaper import TableContainer, VerbInput, VerbResult, verb -from datashaper.engine.verbs.merge import merge as ds_merge - -log = logging.getLogger(__name__) - - -class MergeStrategyType(str, Enum): - """MergeStrategy class definition.""" - - json = "json" - datashaper = "datashaper" - - def __repr__(self): - """Get a string representation.""" - return f'"{self.value}"' - - -# TODO: This thing is kinda gross -# Also, it diverges from the original aggregate verb, since it doesn't support the same syntax -@verb(name="merge_override") -def merge( - input: VerbInput, - to: str, - columns: list[str], - strategy: MergeStrategyType = MergeStrategyType.datashaper, - delimiter: str = "", - preserveSource: bool = False, # noqa N806 - unhot: bool = False, - prefix: str = "", - **_kwargs: dict, -) -> TableContainer | VerbResult: - """Merge method definition.""" - output: pd.DataFrame - match strategy: - case MergeStrategyType.json: - output = _merge_json(input, to, columns) - filtered_list: list[str] = [] - - for col in output.columns: - try: - columns.index(col) - except ValueError: - log.exception("Column %s not found in input columns", col) - filtered_list.append(col) - - if not preserveSource: - output = cast(Any, output[filtered_list]) - return TableContainer(table=output.reset_index()) - case _: - return ds_merge( - input, to, columns, strategy, delimiter, preserveSource, unhot, prefix - ) - - -def _merge_json( - input: VerbInput, - to: str, - columns: list[str], -) -> pd.DataFrame: - input_table = cast(pd.DataFrame, input.get_input()) - output = input_table - output[to] = output[columns].apply( - lambda row: ({**row}), - axis=1, - ) - return output diff --git a/graphrag/index/verbs/spread_json.py b/graphrag/index/verbs/spread_json.py deleted file mode 100644 index 38656e12a4..0000000000 --- a/graphrag/index/verbs/spread_json.py +++ /dev/null @@ -1,55 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing spread_json method definition.""" - -import logging - -import pandas as pd -from datashaper import TableContainer, VerbInput, verb - -from graphrag.index.utils import is_null - -# TODO: Check if this is already a thing -DEFAULT_COPY = ["level"] - - -@verb(name="spread_json") -def spread_json( - input: VerbInput, - column: str, - copy: list[str] | None = None, - **_kwargs: dict, -) -> TableContainer: - """ - Unpack a column containing a tuple into multiple columns. - - id|json|b - 1|{"x":5,"y":6}|b - - is converted to - - id|x|y|b - -------- - 1|5|6|b - """ - if copy is None: - copy = DEFAULT_COPY - data = input.get_input() - - results = [] - for _, row in data.iterrows(): - try: - cleaned_row = {col: row[col] for col in copy} - rest_row = row[column] if row[column] is not None else {} - - if is_null(rest_row): - rest_row = {} - - results.append({**cleaned_row, **rest_row}) # type: ignore - except Exception: - logging.exception("Error spreading row: %s", row) - raise - data = pd.DataFrame(results, index=data.index) - - return TableContainer(table=data) diff --git a/graphrag/index/verbs/text/__init__.py b/graphrag/index/verbs/text/__init__.py deleted file mode 100644 index 032f45e1b1..0000000000 --- a/graphrag/index/verbs/text/__init__.py +++ /dev/null @@ -1,18 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine text package root.""" - -from .chunk.text_chunk import chunk -from .embed import text_embed -from .replace import replace -from .split import text_split -from .translate import text_translate - -__all__ = [ - "chunk", - "replace", - "text_embed", - "text_split", - "text_translate", -] diff --git a/graphrag/index/verbs/text/chunk/__init__.py b/graphrag/index/verbs/text/chunk/__init__.py deleted file mode 100644 index 4e2a7729c5..0000000000 --- a/graphrag/index/verbs/text/chunk/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine text chunk package root.""" - -from .text_chunk import ChunkStrategy, ChunkStrategyType, chunk - -__all__ = ["ChunkStrategy", "ChunkStrategyType", "chunk"] diff --git a/graphrag/index/verbs/text/chunk/strategies/sentence.py b/graphrag/index/verbs/text/chunk/strategies/sentence.py deleted file mode 100644 index 687def1d90..0000000000 --- a/graphrag/index/verbs/text/chunk/strategies/sentence.py +++ /dev/null @@ -1,26 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing run method definition.""" - -from collections.abc import Iterable -from typing import Any - -import nltk -from datashaper import ProgressTicker - -from .typing import TextChunk - - -def run( - input: list[str], _args: dict[str, Any], tick: ProgressTicker -) -> Iterable[TextChunk]: - """Chunks text into multiple parts. A pipeline verb.""" - for doc_idx, text in enumerate(input): - sentences = nltk.sent_tokenize(text) - for sentence in sentences: - yield TextChunk( - text_chunk=sentence, - source_doc_indices=[doc_idx], - ) - tick(1) diff --git a/graphrag/index/verbs/text/chunk/strategies/typing.py b/graphrag/index/verbs/text/chunk/strategies/typing.py deleted file mode 100644 index b4e833c8e3..0000000000 --- a/graphrag/index/verbs/text/chunk/strategies/typing.py +++ /dev/null @@ -1,17 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing ChunkStrategy definition.""" - -from collections.abc import Callable, Iterable -from typing import Any - -from datashaper import ProgressTicker - -from graphrag.index.verbs.text.chunk.typing import TextChunk - -# Given a list of document texts, return a list of tuples of (source_doc_indices, text_chunk) - -ChunkStrategy = Callable[ - [list[str], dict[str, Any], ProgressTicker], Iterable[TextChunk] -] diff --git a/graphrag/index/verbs/text/embed/__init__.py b/graphrag/index/verbs/text/embed/__init__.py deleted file mode 100644 index 969bd2aab9..0000000000 --- a/graphrag/index/verbs/text/embed/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine text embed package root.""" - -from .text_embed import TextEmbedStrategyType, text_embed - -__all__ = ["TextEmbedStrategyType", "text_embed"] diff --git a/graphrag/index/verbs/text/replace/__init__.py b/graphrag/index/verbs/text/replace/__init__.py deleted file mode 100644 index f863415f40..0000000000 --- a/graphrag/index/verbs/text/replace/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine text replace package root.""" - -from .replace import text_replace - -__all__ = ["text_replace"] diff --git a/graphrag/index/verbs/text/replace/replace.py b/graphrag/index/verbs/text/replace/replace.py deleted file mode 100644 index 386fac3459..0000000000 --- a/graphrag/index/verbs/text/replace/replace.py +++ /dev/null @@ -1,47 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing replace and _apply_replacements methods.""" - -from typing import cast - -import pandas as pd -from datashaper import TableContainer, VerbInput, verb - -from .typing import Replacement - - -@verb(name="text_replace") -def text_replace( - input: VerbInput, - column: str, - to: str, - replacements: list[dict[str, str]], - **_kwargs: dict, -) -> TableContainer: - """ - Apply a set of replacements to a piece of text. - - ## Usage - ```yaml - verb: text_replace - args: - column: # The name of the column containing the text to replace - to: # The name of the column to write the replaced text to - replacements: # A list of replacements to apply - - pattern: # The regex pattern to find - replacement: # The string to replace with - ``` - """ - output = cast(pd.DataFrame, input.get_input()) - parsed_replacements = [Replacement(**r) for r in replacements] - output[to] = output[column].apply( - lambda text: _apply_replacements(text, parsed_replacements) - ) - return TableContainer(table=output) - - -def _apply_replacements(text: str, replacements: list[Replacement]) -> str: - for r in replacements: - text = text.replace(r.pattern, r.replacement) - return text diff --git a/graphrag/index/verbs/text/replace/typing.py b/graphrag/index/verbs/text/replace/typing.py deleted file mode 100644 index 45beef9f28..0000000000 --- a/graphrag/index/verbs/text/replace/typing.py +++ /dev/null @@ -1,14 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing 'Replacement' model.""" - -from dataclasses import dataclass - - -@dataclass -class Replacement: - """Replacement class definition.""" - - pattern: str - replacement: str diff --git a/graphrag/index/verbs/text/split.py b/graphrag/index/verbs/text/split.py deleted file mode 100644 index b1339ff455..0000000000 --- a/graphrag/index/verbs/text/split.py +++ /dev/null @@ -1,54 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing the text_split method definition.""" - -from typing import cast - -import pandas as pd -from datashaper import TableContainer, VerbInput, verb - - -@verb(name="text_split") -def text_split( - input: VerbInput, - column: str, - to: str, - separator: str = ",", - **_kwargs: dict, -) -> TableContainer: - """ - Split a piece of text into a list of strings based on a delimiter. The verb outputs a new column containing a list of strings. - - ## Usage - - ```yaml - verb: text_split - args: - column: text # The name of the column containing the text to split - to: split_text # The name of the column to output the split text to - separator: "," # The separator to split the text on, defaults to "," - ``` - """ - output = text_split_df(cast(pd.DataFrame, input.get_input()), column, to, separator) - return TableContainer(table=output) - - -def text_split_df( - input: pd.DataFrame, column: str, to: str, separator: str = "," -) -> pd.DataFrame: - """Split a column into a list of strings.""" - output = input - - def _apply_split(row): - if row[column] is None or isinstance(row[column], list): - return row[column] - if row[column] == "": - return [] - if not isinstance(row[column], str): - message = f"Expected {column} to be a string, but got {type(row[column])}" - raise TypeError(message) - return row[column].split(separator) - - output[to] = output.apply(_apply_split, axis=1) - return output diff --git a/graphrag/index/verbs/text/translate/__init__.py b/graphrag/index/verbs/text/translate/__init__.py deleted file mode 100644 index ad830dfa87..0000000000 --- a/graphrag/index/verbs/text/translate/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine text translate package root.""" - -from .text_translate import text_translate - -__all__ = ["text_translate"] diff --git a/graphrag/index/verbs/text/translate/strategies/__init__.py b/graphrag/index/verbs/text/translate/strategies/__init__.py deleted file mode 100644 index d418bbae28..0000000000 --- a/graphrag/index/verbs/text/translate/strategies/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Indexing Engine translate strategies package root.""" - -from .mock import run as run_mock -from .openai import run as run_openai - -__all__ = ["run_mock", "run_openai"] diff --git a/graphrag/index/verbs/text/translate/strategies/defaults.py b/graphrag/index/verbs/text/translate/strategies/defaults.py deleted file mode 100644 index 003e00eb1f..0000000000 --- a/graphrag/index/verbs/text/translate/strategies/defaults.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A file containing TRANSLATION_PROMPT value definition.""" - -TRANSLATION_PROMPT = """ - You are a helpful assistant. Translate into {language} the following text, and make sure all of the text is in {language}. - """.strip() diff --git a/graphrag/index/verbs/text/translate/strategies/mock.py b/graphrag/index/verbs/text/translate/strategies/mock.py deleted file mode 100644 index 58a5a9995e..0000000000 --- a/graphrag/index/verbs/text/translate/strategies/mock.py +++ /dev/null @@ -1,28 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing run and _summarize_text methods definitions.""" - -from typing import Any - -from datashaper import VerbCallbacks - -from graphrag.index.cache import PipelineCache - -from .typing import TextTranslationResult - - -async def run( # noqa RUF029 async is required for interface - input: str | list[str], - _args: dict[str, Any], - _reporter: VerbCallbacks, - _cache: PipelineCache, -) -> TextTranslationResult: - """Run the Claim extraction chain.""" - input = [input] if isinstance(input, str) else input - return TextTranslationResult(translations=[_translate_text(text) for text in input]) - - -def _translate_text(text: str) -> str: - """Translate a single piece of text.""" - return f"{text} translated" diff --git a/graphrag/index/verbs/text/translate/strategies/openai.py b/graphrag/index/verbs/text/translate/strategies/openai.py deleted file mode 100644 index 49c47b34a2..0000000000 --- a/graphrag/index/verbs/text/translate/strategies/openai.py +++ /dev/null @@ -1,93 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing run, _translate_text and _create_translation_prompt methods definition.""" - -import logging -import traceback -from typing import Any - -from datashaper import VerbCallbacks - -import graphrag.config.defaults as defs -from graphrag.config.enums import LLMType -from graphrag.index.cache import PipelineCache -from graphrag.index.llm import load_llm -from graphrag.index.text_splitting import TokenTextSplitter -from graphrag.llm import CompletionLLM - -from .defaults import TRANSLATION_PROMPT as DEFAULT_TRANSLATION_PROMPT -from .typing import TextTranslationResult - -log = logging.getLogger(__name__) - - -async def run( - input: str | list[str], - args: dict[str, Any], - callbacks: VerbCallbacks, - pipeline_cache: PipelineCache, -) -> TextTranslationResult: - """Run the Claim extraction chain.""" - llm_config = args.get("llm", {"type": LLMType.StaticResponse}) - llm_type = llm_config.get("type", LLMType.StaticResponse) - llm = load_llm( - "text_translation", - llm_type, - callbacks, - pipeline_cache, - llm_config, - chat_only=True, - ) - language = args.get("language", "English") - prompt = args.get("prompt") - chunk_size = args.get("chunk_size", defs.CHUNK_SIZE) - chunk_overlap = args.get("chunk_overlap", defs.CHUNK_OVERLAP) - - input = [input] if isinstance(input, str) else input - return TextTranslationResult( - translations=[ - await _translate_text( - text, language, prompt, llm, chunk_size, chunk_overlap, callbacks - ) - for text in input - ] - ) - - -async def _translate_text( - text: str, - language: str, - prompt: str | None, - llm: CompletionLLM, - chunk_size: int, - chunk_overlap: int, - callbacks: VerbCallbacks, -) -> str: - """Translate a single piece of text.""" - splitter = TokenTextSplitter( - chunk_size=chunk_size, - chunk_overlap=chunk_overlap, - ) - - out = "" - chunks = splitter.split_text(text) - for chunk in chunks: - try: - result = await llm( - chunk, - history=[ - { - "role": "system", - "content": (prompt or DEFAULT_TRANSLATION_PROMPT), - } - ], - variables={"language": language}, - ) - out += result.output or "" - except Exception as e: - log.exception("error translating text") - callbacks.error("Error translating text", e, traceback.format_exc()) - out += "" - - return out diff --git a/graphrag/index/verbs/text/translate/strategies/typing.py b/graphrag/index/verbs/text/translate/strategies/typing.py deleted file mode 100644 index d91ed735f5..0000000000 --- a/graphrag/index/verbs/text/translate/strategies/typing.py +++ /dev/null @@ -1,25 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing 'TextTranslationResult' model.""" - -from collections.abc import Awaitable, Callable -from dataclasses import dataclass -from typing import Any - -from datashaper import VerbCallbacks - -from graphrag.index.cache import PipelineCache - - -@dataclass -class TextTranslationResult: - """Text translation result class definition.""" - - translations: list[str] - - -TextTranslationStrategy = Callable[ - [list[str], dict[str, Any], VerbCallbacks, PipelineCache], - Awaitable[TextTranslationResult], -] diff --git a/graphrag/index/verbs/text/translate/text_translate.py b/graphrag/index/verbs/text/translate/text_translate.py deleted file mode 100644 index 8d0faffefa..0000000000 --- a/graphrag/index/verbs/text/translate/text_translate.py +++ /dev/null @@ -1,120 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing text_translate methods definition.""" - -from enum import Enum -from typing import Any, cast - -import pandas as pd -from datashaper import ( - AsyncType, - TableContainer, - VerbCallbacks, - VerbInput, - derive_from_rows, - verb, -) - -from graphrag.index.cache import PipelineCache - -from .strategies.typing import TextTranslationStrategy - - -class TextTranslateStrategyType(str, Enum): - """TextTranslateStrategyType class definition.""" - - openai = "openai" - mock = "mock" - - def __repr__(self): - """Get a string representation.""" - return f'"{self.value}"' - - -@verb(name="text_translate") -async def text_translate( - input: VerbInput, - cache: PipelineCache, - callbacks: VerbCallbacks, - text_column: str, - to: str, - strategy: dict[str, Any], - async_mode: AsyncType = AsyncType.AsyncIO, - **kwargs, -) -> TableContainer: - """ - Translate a piece of text into another language. - - ## Usage - ```yaml - verb: text_translate - args: - text_column: # The name of the column containing the text to translate - to: # The name of the column to write the translated text to - strategy: # The strategy to use to translate the text, see below for more details - ``` - - ## Strategies - The text translate verb uses a strategy to translate the text. The strategy is an object which defines the strategy to use. The following strategies are available: - - ### openai - This strategy uses openai to translate a piece of text. In particular it uses a LLM to translate a piece of text. The strategy config is as follows: - - ```yaml - strategy: - type: openai - language: english # The language to translate to, default: english - prompt: # The prompt to use for the translation, default: None - chunk_size: 2500 # The chunk size to use for the translation, default: 2500 - chunk_overlap: 0 # The chunk overlap to use for the translation, default: 0 - llm: # The configuration for the LLM - type: openai_chat # the type of llm to use, available options are: openai_chat, azure_openai_chat - api_key: !ENV ${GRAPHRAG_OPENAI_API_KEY} # The api key to use for openai - model: !ENV ${GRAPHRAG_OPENAI_MODEL:gpt-4-turbo-preview} # The model to use for openai - max_tokens: !ENV ${GRAPHRAG_MAX_TOKENS:6000} # The max tokens to use for openai - organization: !ENV ${GRAPHRAG_OPENAI_ORGANIZATION} # The organization to use for openai - ``` - """ - output_df = cast(pd.DataFrame, input.get_input()) - strategy_type = strategy["type"] - strategy_args = {**strategy} - strategy_exec = _load_strategy(strategy_type) - - async def run_strategy(row): - text = row[text_column] - result = await strategy_exec(text, strategy_args, callbacks, cache) - - # If it is a single string, then return just the translation for that string - if isinstance(text, str): - return result.translations[0] - - # Otherwise, return a list of translations, one for each item in the input - return list(result.translations) - - results = await derive_from_rows( - output_df, - run_strategy, - callbacks, - scheduling_type=async_mode, - num_threads=kwargs.get("num_threads", 4), - ) - output_df[to] = results - return TableContainer(table=output_df) - - -def _load_strategy(strategy: TextTranslateStrategyType) -> TextTranslationStrategy: - match strategy: - case TextTranslateStrategyType.openai: - from .strategies.openai import run as run_openai - - return run_openai - - case TextTranslateStrategyType.mock: - from .strategies.mock import run as run_mock - - return run_mock - - case _: - msg = f"Unknown strategy: {strategy}" - raise ValueError(msg) diff --git a/graphrag/index/verbs/unzip.py b/graphrag/index/verbs/unzip.py deleted file mode 100644 index 4d8c8da08e..0000000000 --- a/graphrag/index/verbs/unzip.py +++ /dev/null @@ -1,25 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing unzip method definition.""" - -from typing import cast - -import pandas as pd -from datashaper import TableContainer, VerbInput, verb - - -# TODO: Check if this is already a thing -# Takes 1|(x,y)|b -# and converts to -# 1|x|y|b -@verb(name="unzip") -def unzip( - input: VerbInput, column: str, to: list[str], **_kwargs: dict -) -> TableContainer: - """Unpacks a column containing a tuple into multiple columns.""" - table = cast(pd.DataFrame, input.get_input()) - - table[to] = pd.DataFrame(table[column].tolist(), index=table.index) - - return TableContainer(table=table) diff --git a/graphrag/index/verbs/zip.py b/graphrag/index/verbs/zip.py deleted file mode 100644 index 462395d3da..0000000000 --- a/graphrag/index/verbs/zip.py +++ /dev/null @@ -1,51 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing ds_zip method definition.""" - -from typing import cast - -import pandas as pd -from datashaper import TableContainer, VerbInput, verb - - -@verb(name="zip") -def zip_verb( - input: VerbInput, - to: str, - columns: list[str], - type: str | None = None, # noqa A002 - **_kwargs: dict, -) -> TableContainer: - """ - Zip columns together. - - ## Usage - TODO - - """ - table = cast(pd.DataFrame, input.get_input()) - if type is None: - table[to] = list(zip(*[table[col] for col in columns], strict=True)) - - # This one is a little weird - elif type == "dict": - if len(columns) != 2: - msg = f"Expected exactly two columns for a dict, got {columns}" - raise ValueError(msg) - key_col, value_col = columns - - results = [] - for _, row in table.iterrows(): - keys = row[key_col] - values = row[value_col] - output = {} - if len(keys) != len(values): - msg = f"Expected same number of keys and values, got {len(keys)} keys and {len(values)} values" - raise ValueError(msg) - for idx, key in enumerate(keys): - output[key] = values[idx] - results.append(output) - - table[to] = results - return TableContainer(table=table.reset_index(drop=True)) diff --git a/graphrag/index/workflows/__init__.py b/graphrag/index/workflows/__init__.py index ed580309a8..db1cb74c7b 100644 --- a/graphrag/index/workflows/__init__.py +++ b/graphrag/index/workflows/__init__.py @@ -3,8 +3,8 @@ """The Indexing Engine workflows package root.""" -from .load import create_workflow, load_workflows -from .typing import ( +from graphrag.index.workflows.load import create_workflow, load_workflows +from graphrag.index.workflows.typing import ( StepDefinition, VerbDefinitions, VerbTiming, diff --git a/graphrag/index/workflows/default_workflows.py b/graphrag/index/workflows/default_workflows.py index 81112bee32..536423c4e3 100644 --- a/graphrag/index/workflows/default_workflows.py +++ b/graphrag/index/workflows/default_workflows.py @@ -3,106 +3,79 @@ """A package containing default workflows definitions.""" -from .typing import WorkflowDefinitions -from .v1.create_base_documents import ( - build_steps as build_create_base_documents_steps, -) -from .v1.create_base_documents import ( - workflow_name as create_base_documents, -) -from .v1.create_base_entity_graph import ( +# load and register all subflows +from graphrag.index.workflows.v1.subflows import * # noqa + +from graphrag.index.workflows.typing import WorkflowDefinitions +from graphrag.index.workflows.v1.create_base_entity_graph import ( build_steps as build_create_base_entity_graph_steps, ) -from .v1.create_base_entity_graph import ( +from graphrag.index.workflows.v1.create_base_entity_graph import ( workflow_name as create_base_entity_graph, ) -from .v1.create_base_extracted_entities import ( - build_steps as build_create_base_extracted_entities_steps, -) -from .v1.create_base_extracted_entities import ( - workflow_name as create_base_extracted_entities, -) -from .v1.create_base_text_units import ( +from graphrag.index.workflows.v1.create_base_text_units import ( build_steps as build_create_base_text_units_steps, ) -from .v1.create_base_text_units import ( +from graphrag.index.workflows.v1.create_base_text_units import ( workflow_name as create_base_text_units, ) -from .v1.create_final_communities import ( +from graphrag.index.workflows.v1.create_final_communities import ( build_steps as build_create_final_communities_steps, ) -from .v1.create_final_communities import ( +from graphrag.index.workflows.v1.create_final_communities import ( workflow_name as create_final_communities, ) -from .v1.create_final_community_reports import ( +from graphrag.index.workflows.v1.create_final_community_reports import ( build_steps as build_create_final_community_reports_steps, ) -from .v1.create_final_community_reports import ( +from graphrag.index.workflows.v1.create_final_community_reports import ( workflow_name as create_final_community_reports, ) -from .v1.create_final_covariates import ( +from graphrag.index.workflows.v1.create_final_covariates import ( build_steps as build_create_final_covariates_steps, ) -from .v1.create_final_covariates import ( +from graphrag.index.workflows.v1.create_final_covariates import ( workflow_name as create_final_covariates, ) -from .v1.create_final_documents import ( +from graphrag.index.workflows.v1.create_final_documents import ( build_steps as build_create_final_documents_steps, ) -from .v1.create_final_documents import ( +from graphrag.index.workflows.v1.create_final_documents import ( workflow_name as create_final_documents, ) -from .v1.create_final_entities import ( +from graphrag.index.workflows.v1.create_final_entities import ( build_steps as build_create_final_entities_steps, ) -from .v1.create_final_entities import ( +from graphrag.index.workflows.v1.create_final_entities import ( workflow_name as create_final_entities, ) -from .v1.create_final_nodes import ( +from graphrag.index.workflows.v1.create_final_nodes import ( build_steps as build_create_final_nodes_steps, ) -from .v1.create_final_nodes import ( +from graphrag.index.workflows.v1.create_final_nodes import ( workflow_name as create_final_nodes, ) -from .v1.create_final_relationships import ( +from graphrag.index.workflows.v1.create_final_relationships import ( build_steps as build_create_final_relationships_steps, ) -from .v1.create_final_relationships import ( +from graphrag.index.workflows.v1.create_final_relationships import ( workflow_name as create_final_relationships, ) -from .v1.create_final_text_units import ( +from graphrag.index.workflows.v1.create_final_text_units import ( build_steps as build_create_final_text_units, ) -from .v1.create_final_text_units import ( +from graphrag.index.workflows.v1.create_final_text_units import ( workflow_name as create_final_text_units, ) -from .v1.create_summarized_entities import ( - build_steps as build_create_summarized_entities_steps, -) -from .v1.create_summarized_entities import ( - workflow_name as create_summarized_entities, +from graphrag.index.workflows.v1.generate_text_embeddings import ( + build_steps as build_generate_text_embeddings_steps, ) -from .v1.join_text_units_to_covariate_ids import ( - build_steps as join_text_units_to_covariate_ids_steps, -) -from .v1.join_text_units_to_covariate_ids import ( - workflow_name as join_text_units_to_covariate_ids, -) -from .v1.join_text_units_to_entity_ids import ( - build_steps as join_text_units_to_entity_ids_steps, -) -from .v1.join_text_units_to_entity_ids import ( - workflow_name as join_text_units_to_entity_ids, -) -from .v1.join_text_units_to_relationship_ids import ( - build_steps as join_text_units_to_relationship_ids_steps, -) -from .v1.join_text_units_to_relationship_ids import ( - workflow_name as join_text_units_to_relationship_ids, + +from graphrag.index.workflows.v1.generate_text_embeddings import ( + workflow_name as generate_text_embeddings, ) default_workflows: WorkflowDefinitions = { - create_base_extracted_entities: build_create_base_extracted_entities_steps, create_base_entity_graph: build_create_base_entity_graph_steps, create_base_text_units: build_create_base_text_units_steps, create_final_text_units: build_create_final_text_units, @@ -111,11 +84,7 @@ create_final_relationships: build_create_final_relationships_steps, create_final_documents: build_create_final_documents_steps, create_final_covariates: build_create_final_covariates_steps, - create_base_documents: build_create_base_documents_steps, create_final_entities: build_create_final_entities_steps, create_final_communities: build_create_final_communities_steps, - create_summarized_entities: build_create_summarized_entities_steps, - join_text_units_to_entity_ids: join_text_units_to_entity_ids_steps, - join_text_units_to_covariate_ids: join_text_units_to_covariate_ids_steps, - join_text_units_to_relationship_ids: join_text_units_to_relationship_ids_steps, + generate_text_embeddings: build_generate_text_embeddings_steps, } diff --git a/graphrag/index/workflows/load.py b/graphrag/index/workflows/load.py index 4dd6f9bfd0..236642d165 100644 --- a/graphrag/index/workflows/load.py +++ b/graphrag/index/workflows/load.py @@ -16,13 +16,18 @@ UndefinedWorkflowError, UnknownWorkflowError, ) -from graphrag.index.utils import topological_sort - -from .default_workflows import default_workflows as _default_workflows -from .typing import VerbDefinitions, WorkflowDefinitions, WorkflowToRun +from graphrag.index.utils.topological_sort import topological_sort +from graphrag.index.workflows.default_workflows import ( + default_workflows as _default_workflows, +) +from graphrag.index.workflows.typing import ( + VerbDefinitions, + WorkflowDefinitions, + WorkflowToRun, +) if TYPE_CHECKING: - from graphrag.index.config import ( + from graphrag.index.config.workflow import ( PipelineWorkflowConfig, PipelineWorkflowReference, PipelineWorkflowStep, @@ -132,7 +137,6 @@ def create_workflow( **(additional_workflows or {}), } steps = steps or _get_steps_for_workflow(name, config, additional_workflows) - steps = _remove_disabled_steps(steps) return Workflow( verbs=additional_verbs or {}, schema={ @@ -163,9 +167,3 @@ def _get_steps_for_workflow( raise UnknownWorkflowError(name) return workflows[name](config or {}) - - -def _remove_disabled_steps( - steps: list[PipelineWorkflowStep], -) -> list[PipelineWorkflowStep]: - return [step for step in steps if step.get("enabled", True)] diff --git a/graphrag/index/workflows/v1/create_base_documents.py b/graphrag/index/workflows/v1/create_base_documents.py deleted file mode 100644 index bd7094c64a..0000000000 --- a/graphrag/index/workflows/v1/create_base_documents.py +++ /dev/null @@ -1,105 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing build_steps method definition.""" - -from datashaper import DEFAULT_INPUT_NAME - -from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep - -workflow_name = "create_base_documents" - - -def build_steps( - config: PipelineWorkflowConfig, -) -> list[PipelineWorkflowStep]: - """ - Create the documents table. - - ## Dependencies - * `workflow:create_final_text_units` - """ - document_attribute_columns = config.get("document_attribute_columns", []) - return [ - { - "verb": "unroll", - "args": {"column": "document_ids"}, - "input": {"source": "workflow:create_final_text_units"}, - }, - { - "verb": "select", - "args": { - # We only need the chunk id and the document id - "columns": ["id", "document_ids", "text"] - }, - }, - { - "id": "rename_chunk_doc_id", - "verb": "rename", - "args": { - "columns": { - "document_ids": "chunk_doc_id", - "id": "chunk_id", - "text": "chunk_text", - } - }, - }, - { - "verb": "join", - "args": { - # Join the doc id from the chunk onto the original document - "on": ["chunk_doc_id", "id"] - }, - "input": {"source": "rename_chunk_doc_id", "others": [DEFAULT_INPUT_NAME]}, - }, - { - "id": "docs_with_text_units", - "verb": "aggregate_override", - "args": { - "groupby": ["id"], - "aggregations": [ - { - "column": "chunk_id", - "operation": "array_agg", - "to": "text_units", - } - ], - }, - }, - { - "verb": "join", - "args": { - "on": ["id", "id"], - "strategy": "right outer", - }, - "input": { - "source": "docs_with_text_units", - "others": [DEFAULT_INPUT_NAME], - }, - }, - { - "verb": "rename", - "args": {"columns": {"text": "raw_content"}}, - }, - *[ - { - "verb": "convert", - "args": { - "column": column, - "to": column, - "type": "string", - }, - } - for column in document_attribute_columns - ], - { - "verb": "merge_override", - "enabled": len(document_attribute_columns) > 0, - "args": { - "columns": document_attribute_columns, - "strategy": "json", - "to": "attributes", - }, - }, - {"verb": "convert", "args": {"column": "id", "to": "id", "type": "string"}}, - ] diff --git a/graphrag/index/workflows/v1/create_base_entity_graph.py b/graphrag/index/workflows/v1/create_base_entity_graph.py index b001aad218..0e8a9a4fb7 100644 --- a/graphrag/index/workflows/v1/create_base_entity_graph.py +++ b/graphrag/index/workflows/v1/create_base_entity_graph.py @@ -3,7 +3,11 @@ """A module containing build_steps method definition.""" -from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep +from datashaper import ( + AsyncType, +) + +from graphrag.index.config.workflow import PipelineWorkflowConfig, PipelineWorkflowStep workflow_name = "create_base_entity_graph" @@ -15,12 +19,57 @@ def build_steps( Create the base table for the entity graph. ## Dependencies - * `workflow:create_base_extracted_entities` + * `workflow:create_base_text_units` """ + entity_extraction_config = config.get("entity_extract", {}) + async_mode = entity_extraction_config.get("async_mode", AsyncType.AsyncIO) + extraction_strategy = entity_extraction_config.get("strategy") + extraction_num_threads = entity_extraction_config.get("num_threads", 4) + entity_types = entity_extraction_config.get("entity_types") + + graph_merge_operations_config = config.get( + "graph_merge_operations", + { + "nodes": { + "source_id": { + "operation": "concat", + "delimiter": ", ", + "distinct": True, + }, + "description": ({ + "operation": "concat", + "separator": "\n", + "distinct": False, + }), + }, + "edges": { + "source_id": { + "operation": "concat", + "delimiter": ", ", + "distinct": True, + }, + "description": ({ + "operation": "concat", + "separator": "\n", + "distinct": False, + }), + "weight": "sum", + }, + }, + ) + node_merge_config = graph_merge_operations_config.get("nodes") + edge_merge_config = graph_merge_operations_config.get("edges") + + summarize_descriptions_config = config.get("summarize_descriptions", {}) + summarization_strategy = summarize_descriptions_config.get("strategy") + summarization_num_threads = summarize_descriptions_config.get("num_threads", 4) + clustering_config = config.get( "cluster_graph", {"strategy": {"type": "leiden"}}, ) + clustering_strategy = clustering_config.get("strategy") + embed_graph_config = config.get( "embed_graph", { @@ -34,58 +83,33 @@ def build_steps( } }, ) - - graphml_snapshot_enabled = config.get("graphml_snapshot", False) or False + embedding_strategy = embed_graph_config.get("strategy") embed_graph_enabled = config.get("embed_graph_enabled", False) or False + snapshot_graphml = config.get("snapshot_graphml", False) or False + snapshot_raw_entities = config.get("snapshot_raw_entities", False) or False + snapshot_transient = config.get("snapshot_transient", False) or False + return [ { - "verb": "cluster_graph", - "args": { - **clustering_config, - "column": "entity_graph", - "to": "clustered_graph", - "level_to": "level", - }, - "input": ({"source": "workflow:create_summarized_entities"}), - }, - { - "verb": "snapshot_rows", - "enabled": graphml_snapshot_enabled, - "args": { - "base_name": "clustered_graph", - "column": "clustered_graph", - "formats": [{"format": "text", "extension": "graphml"}], - }, - }, - { - "verb": "embed_graph", - "enabled": embed_graph_enabled, - "args": { - "column": "clustered_graph", - "to": "embeddings", - **embed_graph_config, - }, - }, - { - "verb": "snapshot_rows", - "enabled": graphml_snapshot_enabled, - "args": { - "base_name": "embedded_graph", - "column": "entity_graph", - "formats": [{"format": "text", "extension": "graphml"}], - }, - }, - { - "verb": "select", + "verb": "create_base_entity_graph", "args": { - # only selecting for documentation sake, so we know what is contained in - # this workflow - "columns": ( - ["level", "clustered_graph", "embeddings"] - if embed_graph_enabled - else ["level", "clustered_graph"] - ), + "extraction_strategy": extraction_strategy, + "extraction_num_threads": extraction_num_threads, + "extraction_async_mode": async_mode, + "entity_types": entity_types, + "node_merge_config": node_merge_config, + "edge_merge_config": edge_merge_config, + "summarization_strategy": summarization_strategy, + "summarization_num_threads": summarization_num_threads, + "clustering_strategy": clustering_strategy, + "embedding_strategy": embedding_strategy + if embed_graph_enabled + else None, + "snapshot_raw_entities_enabled": snapshot_raw_entities, + "snapshot_graphml_enabled": snapshot_graphml, + "snapshot_transient_enabled": snapshot_transient, }, + "input": ({"source": "workflow:create_base_text_units"}), }, ] diff --git a/graphrag/index/workflows/v1/create_base_extracted_entities.py b/graphrag/index/workflows/v1/create_base_extracted_entities.py deleted file mode 100644 index 30d608e9fd..0000000000 --- a/graphrag/index/workflows/v1/create_base_extracted_entities.py +++ /dev/null @@ -1,95 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing build_steps method definition.""" - -from datashaper import AsyncType - -from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep - -workflow_name = "create_base_extracted_entities" - - -def build_steps( - config: PipelineWorkflowConfig, -) -> list[PipelineWorkflowStep]: - """ - Create the base table for extracted entities. - - ## Dependencies - * `workflow:create_base_text_units` - """ - entity_extraction_config = config.get("entity_extract", {}) - graphml_snapshot_enabled = config.get("graphml_snapshot", False) or False - raw_entity_snapshot_enabled = config.get("raw_entity_snapshot", False) or False - - return [ - { - "verb": "entity_extract", - "args": { - **entity_extraction_config, - "column": entity_extraction_config.get("text_column", "chunk"), - "id_column": entity_extraction_config.get("id_column", "chunk_id"), - "async_mode": entity_extraction_config.get( - "async_mode", AsyncType.AsyncIO - ), - "to": "entities", - "graph_to": "entity_graph", - }, - "input": {"source": "workflow:create_base_text_units"}, - }, - { - "verb": "snapshot", - "enabled": raw_entity_snapshot_enabled, - "args": { - "name": "raw_extracted_entities", - "formats": ["json"], - }, - }, - { - "verb": "merge_graphs", - "args": { - "column": "entity_graph", - "to": "entity_graph", - **config.get( - "graph_merge_operations", - { - "nodes": { - "source_id": { - "operation": "concat", - "delimiter": ", ", - "distinct": True, - }, - "description": ({ - "operation": "concat", - "separator": "\n", - "distinct": False, - }), - }, - "edges": { - "source_id": { - "operation": "concat", - "delimiter": ", ", - "distinct": True, - }, - "description": ({ - "operation": "concat", - "separator": "\n", - "distinct": False, - }), - "weight": "sum", - }, - }, - ), - }, - }, - { - "verb": "snapshot_rows", - "enabled": graphml_snapshot_enabled, - "args": { - "base_name": "merged_graph", - "column": "entity_graph", - "formats": [{"format": "text", "extension": "graphml"}], - }, - }, - ] diff --git a/graphrag/index/workflows/v1/create_base_text_units.py b/graphrag/index/workflows/v1/create_base_text_units.py index 63876e5e49..40250b62d2 100644 --- a/graphrag/index/workflows/v1/create_base_text_units.py +++ b/graphrag/index/workflows/v1/create_base_text_units.py @@ -5,7 +5,7 @@ from datashaper import DEFAULT_INPUT_NAME -from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep +from graphrag.index.config.workflow import PipelineWorkflowConfig, PipelineWorkflowStep workflow_name = "create_base_text_units" @@ -17,96 +17,21 @@ def build_steps( Create the base table for text units. ## Dependencies - None + (input dataframe) """ - chunk_column_name = config.get("chunk_column", "chunk") chunk_by_columns = config.get("chunk_by", []) or [] - n_tokens_column_name = config.get("n_tokens_column", "n_tokens") + text_chunk_config = config.get("text_chunk", {}) + chunk_strategy = text_chunk_config.get("strategy") + + snapshot_transient = config.get("snapshot_transient", False) or False return [ { - "verb": "orderby", + "verb": "create_base_text_units", "args": { - "orders": [ - # sort for reproducibility - {"column": "id", "direction": "asc"}, - ] + "chunk_by_columns": chunk_by_columns, + "chunk_strategy": chunk_strategy, + "snapshot_transient_enabled": snapshot_transient, }, "input": {"source": DEFAULT_INPUT_NAME}, }, - { - "verb": "zip", - "args": { - # Pack the document ids with the text - # So when we unpack the chunks, we can restore the document id - "columns": ["id", "text"], - "to": "text_with_ids", - }, - }, - { - "verb": "aggregate_override", - "args": { - "groupby": [*chunk_by_columns] if len(chunk_by_columns) > 0 else None, - "aggregations": [ - { - "column": "text_with_ids", - "operation": "array_agg", - "to": "texts", - } - ], - }, - }, - { - "verb": "chunk", - "args": {"column": "texts", "to": "chunks", **config.get("text_chunk", {})}, - }, - { - "verb": "select", - "args": { - "columns": [*chunk_by_columns, "chunks"], - }, - }, - { - "verb": "unroll", - "args": { - "column": "chunks", - }, - }, - { - "verb": "rename", - "args": { - "columns": { - "chunks": chunk_column_name, - } - }, - }, - { - "verb": "genid", - "args": { - # Generate a unique id for each chunk - "to": "chunk_id", - "method": "md5_hash", - "hash": [chunk_column_name], - }, - }, - { - "verb": "unzip", - "args": { - "column": chunk_column_name, - "to": ["document_ids", chunk_column_name, n_tokens_column_name], - }, - }, - {"verb": "copy", "args": {"column": "chunk_id", "to": "id"}}, - { - # ELIMINATE EMPTY CHUNKS - "verb": "filter", - "args": { - "column": chunk_column_name, - "criteria": [ - { - "type": "value", - "operator": "is not empty", - } - ], - }, - }, ] diff --git a/graphrag/index/workflows/v1/create_final_communities.py b/graphrag/index/workflows/v1/create_final_communities.py index f8949dfcec..b5296b4bfc 100644 --- a/graphrag/index/workflows/v1/create_final_communities.py +++ b/graphrag/index/workflows/v1/create_final_communities.py @@ -3,7 +3,7 @@ """A module containing build_steps method definition.""" -from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep +from graphrag.index.config.workflow import PipelineWorkflowConfig, PipelineWorkflowStep workflow_name = "create_final_communities" @@ -19,154 +19,7 @@ def build_steps( """ return [ { - "id": "graph_nodes", - "verb": "unpack_graph", - "args": { - "column": "clustered_graph", - "type": "nodes", - }, + "verb": "create_final_communities", "input": {"source": "workflow:create_base_entity_graph"}, }, - { - "id": "graph_edges", - "verb": "unpack_graph", - "args": { - "column": "clustered_graph", - "type": "edges", - }, - "input": {"source": "workflow:create_base_entity_graph"}, - }, - { - "id": "source_clusters", - "verb": "join", - "args": { - "on": ["label", "source"], - }, - "input": {"source": "graph_nodes", "others": ["graph_edges"]}, - }, - { - "id": "target_clusters", - "verb": "join", - "args": { - "on": ["label", "target"], - }, - "input": {"source": "graph_nodes", "others": ["graph_edges"]}, - }, - { - "id": "concatenated_clusters", - "verb": "concat", - "input": { - "source": "source_clusters", - "others": ["target_clusters"], - }, - }, - { - "id": "combined_clusters", - "verb": "filter", - "args": { - # level_1 is the left side of the join - # level_2 is the right side of the join - "column": "level_1", - "criteria": [ - {"type": "column", "operator": "equals", "value": "level_2"} - ], - }, - "input": {"source": "concatenated_clusters"}, - }, - { - "id": "cluster_relationships", - "verb": "aggregate_override", - "args": { - "groupby": [ - "cluster", - "level_1", # level_1 is the left side of the join - ], - "aggregations": [ - { - "column": "id_2", # this is the id of the edge from the join steps above - "to": "relationship_ids", - "operation": "array_agg_distinct", - }, - { - "column": "source_id_1", - "to": "text_unit_ids", - "operation": "array_agg_distinct", - }, - ], - }, - "input": {"source": "combined_clusters"}, - }, - { - "id": "all_clusters", - "verb": "aggregate_override", - "args": { - "groupby": ["cluster", "level"], - "aggregations": [{"column": "cluster", "to": "id", "operation": "any"}], - }, - "input": {"source": "graph_nodes"}, - }, - { - "verb": "join", - "args": { - "on": ["id", "cluster"], - }, - "input": {"source": "all_clusters", "others": ["cluster_relationships"]}, - }, - { - "verb": "filter", - "args": { - # level is the left side of the join - # level_1 is the right side of the join - "column": "level", - "criteria": [ - {"type": "column", "operator": "equals", "value": "level_1"} - ], - }, - }, - *create_community_title_wf, - { - # TODO: Rodrigo says "raw_community" is temporary - "verb": "copy", - "args": { - "column": "id", - "to": "raw_community", - }, - }, - { - "verb": "select", - "args": { - "columns": [ - "id", - "title", - "level", - "raw_community", - "relationship_ids", - "text_unit_ids", - ], - }, - }, ] - - -create_community_title_wf = [ - # Hack to string concat "Community " + id - { - "verb": "fill", - "args": { - "to": "__temp", - "value": "Community ", - }, - }, - { - "verb": "merge", - "args": { - "columns": [ - "__temp", - "id", - ], - "to": "title", - "strategy": "concat", - "preserveSource": True, - }, - }, -] diff --git a/graphrag/index/workflows/v1/create_final_community_reports.py b/graphrag/index/workflows/v1/create_final_community_reports.py index 164c70e0dd..6b8d110fe1 100644 --- a/graphrag/index/workflows/v1/create_final_community_reports.py +++ b/graphrag/index/workflows/v1/create_final_community_reports.py @@ -3,7 +3,7 @@ """A module containing build_steps method definition.""" -from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep +from graphrag.index.config.workflow import PipelineWorkflowConfig, PipelineWorkflowStep workflow_name = "create_final_community_reports" @@ -19,115 +19,27 @@ def build_steps( """ covariates_enabled = config.get("covariates_enabled", False) create_community_reports_config = config.get("create_community_reports", {}) - base_text_embed = config.get("text_embed", {}) - community_report_full_content_embed_config = config.get( - "community_report_full_content_embed", base_text_embed - ) - community_report_summary_embed_config = config.get( - "community_report_summary_embed", base_text_embed - ) - community_report_title_embed_config = config.get( - "community_report_title_embed", base_text_embed - ) - skip_title_embedding = config.get("skip_title_embedding", False) - skip_summary_embedding = config.get("skip_summary_embedding", False) - skip_full_content_embedding = config.get("skip_full_content_embedding", False) + summarization_strategy = create_community_reports_config.get("strategy") + async_mode = create_community_reports_config.get("async_mode") + num_threads = create_community_reports_config.get("num_threads") + + input = { + "source": "workflow:create_final_nodes", + "relationships": "workflow:create_final_relationships", + "entities": "workflow:create_final_entities", + "communities": "workflow:create_final_communities", + } + if covariates_enabled: + input["covariates"] = "workflow:create_final_covariates" return [ - # - # Subworkflow: Prepare Nodes - # - { - "id": "nodes", - "verb": "prepare_community_reports_nodes", - "input": {"source": "workflow:create_final_nodes"}, - }, - # - # Subworkflow: Prepare Edges - # - { - "id": "edges", - "verb": "prepare_community_reports_edges", - "input": {"source": "workflow:create_final_relationships"}, - }, - # - # Subworkflow: Prepare Claims Table - # - { - "id": "claims", - "enabled": covariates_enabled, - "verb": "prepare_community_reports_claims", - "input": { - "source": "workflow:create_final_covariates", - } - if covariates_enabled - else {}, - }, - # - # Subworkflow: Get Community Hierarchy - # - { - "id": "community_hierarchy", - "verb": "restore_community_hierarchy", - "input": {"source": "nodes"}, - }, - # - # Main Workflow: Create Community Reports - # - { - "id": "local_contexts", - "verb": "prepare_community_reports", - "input": { - "source": "nodes", - "nodes": "nodes", - "edges": "edges", - **({"claims": "claims"} if covariates_enabled else {}), - }, - }, - { - "verb": "create_community_reports", - "args": { - **create_community_reports_config, - }, - "input": { - "source": "local_contexts", - "community_hierarchy": "community_hierarchy", - "nodes": "nodes", - }, - }, - { - # Generate a unique ID for each community report distinct from the community ID - "verb": "window", - "args": {"to": "id", "operation": "uuid", "column": "community"}, - }, - { - "verb": "text_embed", - "enabled": not skip_full_content_embedding, - "args": { - "embedding_name": "community_report_full_content", - "column": "full_content", - "to": "full_content_embedding", - **community_report_full_content_embed_config, - }, - }, - { - "verb": "text_embed", - "enabled": not skip_summary_embedding, - "args": { - "embedding_name": "community_report_summary", - "column": "summary", - "to": "summary_embedding", - **community_report_summary_embed_config, - }, - }, { - "verb": "text_embed", - "enabled": not skip_title_embedding, + "verb": "create_final_community_reports", "args": { - "embedding_name": "community_report_title", - "column": "title", - "to": "title_embedding", - **community_report_title_embed_config, + "summarization_strategy": summarization_strategy, + "async_mode": async_mode, + "num_threads": num_threads, }, + "input": input, }, ] diff --git a/graphrag/index/workflows/v1/create_final_covariates.py b/graphrag/index/workflows/v1/create_final_covariates.py index d1090e5054..b730a1737d 100644 --- a/graphrag/index/workflows/v1/create_final_covariates.py +++ b/graphrag/index/workflows/v1/create_final_covariates.py @@ -3,9 +3,11 @@ """A module containing build_steps method definition.""" -from datashaper import AsyncType +from datashaper import ( + AsyncType, +) -from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep +from graphrag.index.config.workflow import PipelineWorkflowConfig, PipelineWorkflowStep workflow_name = "create_final_covariates" @@ -18,73 +20,21 @@ def build_steps( ## Dependencies * `workflow:create_base_text_units` - * `workflow:create_base_extracted_entities` """ claim_extract_config = config.get("claim_extract", {}) - - input = {"source": "workflow:create_base_text_units"} + extraction_strategy = claim_extract_config.get("strategy") + async_mode = claim_extract_config.get("async_mode", AsyncType.AsyncIO) + num_threads = claim_extract_config.get("num_threads") return [ { - "verb": "extract_covariates", + "verb": "create_final_covariates", "args": { - "column": config.get("chunk_column", "chunk"), - "id_column": config.get("chunk_id_column", "chunk_id"), - "resolved_entities_column": "resolved_entities", "covariate_type": "claim", - "async_mode": config.get("async_mode", AsyncType.AsyncIO), - **claim_extract_config, - }, - "input": input, - }, - { - "verb": "window", - "args": {"to": "id", "operation": "uuid", "column": "covariate_type"}, - }, - { - "verb": "genid", - "args": { - "to": "human_readable_id", - "method": "increment", - }, - }, - { - "verb": "convert", - "args": { - "column": "human_readable_id", - "type": "string", - "to": "human_readable_id", - }, - }, - { - "verb": "rename", - "args": { - "columns": { - "chunk_id": "text_unit_id", - } - }, - }, - { - "verb": "select", - "args": { - "columns": [ - "id", - "human_readable_id", - "covariate_type", - "type", - "description", - "subject_id", - "subject_type", - "object_id", - "object_type", - "status", - "start_date", - "end_date", - "source_text", - "text_unit_id", - "document_ids", - "n_tokens", - ] + "extraction_strategy": extraction_strategy, + "async_mode": async_mode, + "num_threads": num_threads, }, + "input": {"source": "workflow:create_base_text_units"}, }, ] diff --git a/graphrag/index/workflows/v1/create_final_documents.py b/graphrag/index/workflows/v1/create_final_documents.py index d09ce001b0..ad0a1f036e 100644 --- a/graphrag/index/workflows/v1/create_final_documents.py +++ b/graphrag/index/workflows/v1/create_final_documents.py @@ -3,7 +3,9 @@ """A module containing build_steps method definition.""" -from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep +from datashaper import DEFAULT_INPUT_NAME + +from graphrag.index.config.workflow import PipelineWorkflowConfig, PipelineWorkflowStep workflow_name = "create_final_documents" @@ -15,27 +17,16 @@ def build_steps( Create the final documents table. ## Dependencies - * `workflow:create_base_documents` - * `workflow:create_base_document_nodes` + * `workflow:create_base_text_units` """ - base_text_embed = config.get("text_embed", {}) - document_raw_content_embed_config = config.get( - "document_raw_content_embed", base_text_embed - ) - skip_raw_content_embedding = config.get("skip_raw_content_embedding", False) + document_attribute_columns = config.get("document_attribute_columns", None) return [ { - "verb": "rename", - "args": {"columns": {"text_units": "text_unit_ids"}}, - "input": {"source": "workflow:create_base_documents"}, - }, - { - "verb": "text_embed", - "enabled": not skip_raw_content_embedding, - "args": { - "column": "raw_content", - "to": "raw_content_embedding", - **document_raw_content_embed_config, + "verb": "create_final_documents", + "args": {"document_attribute_columns": document_attribute_columns}, + "input": { + "source": DEFAULT_INPUT_NAME, + "text_units": "workflow:create_base_text_units", }, }, ] diff --git a/graphrag/index/workflows/v1/create_final_entities.py b/graphrag/index/workflows/v1/create_final_entities.py index 9d8b962b77..d36d5bb331 100644 --- a/graphrag/index/workflows/v1/create_final_entities.py +++ b/graphrag/index/workflows/v1/create_final_entities.py @@ -3,13 +3,16 @@ """A module containing build_steps method definition.""" -from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep +import logging + +from graphrag.index.config.workflow import PipelineWorkflowConfig, PipelineWorkflowStep workflow_name = "create_final_entities" +log = logging.getLogger(__name__) def build_steps( - config: PipelineWorkflowConfig, + config: PipelineWorkflowConfig, # noqa: ARG001 ) -> list[PipelineWorkflowStep]: """ Create the final entities table. @@ -17,117 +20,10 @@ def build_steps( ## Dependencies * `workflow:create_base_entity_graph` """ - base_text_embed = config.get("text_embed", {}) - entity_name_embed_config = config.get("entity_name_embed", base_text_embed) - entity_name_description_embed_config = config.get( - "entity_name_description_embed", base_text_embed - ) - skip_name_embedding = config.get("skip_name_embedding", False) - skip_description_embedding = config.get("skip_description_embedding", False) - is_using_vector_store = ( - entity_name_embed_config.get("strategy", {}).get("vector_store", None) - is not None - ) - return [ { - "verb": "unpack_graph", - "args": { - "column": "clustered_graph", - "type": "nodes", - }, + "verb": "create_final_entities", + "args": {}, "input": {"source": "workflow:create_base_entity_graph"}, }, - {"verb": "rename", "args": {"columns": {"label": "title"}}}, - { - "verb": "select", - "args": { - "columns": [ - "id", - "title", - "type", - "description", - "human_readable_id", - "graph_embedding", - "source_id", - ], - }, - }, - { - # create_base_entity_graph has multiple levels of clustering, which means there are multiple graphs with the same entities - # this dedupes the entities so that there is only one of each entity - "verb": "dedupe", - "args": {"columns": ["id"]}, - }, - {"verb": "rename", "args": {"columns": {"title": "name"}}}, - { - # ELIMINATE EMPTY NAMES - "verb": "filter", - "args": { - "column": "name", - "criteria": [ - { - "type": "value", - "operator": "is not empty", - } - ], - }, - }, - { - "verb": "text_split", - "args": {"separator": ",", "column": "source_id", "to": "text_unit_ids"}, - }, - {"verb": "drop", "args": {"columns": ["source_id"]}}, - { - "verb": "text_embed", - "enabled": not skip_name_embedding, - "args": { - "embedding_name": "entity_name", - "column": "name", - "to": "name_embedding", - **entity_name_embed_config, - }, - }, - { - "verb": "merge", - "enabled": not skip_description_embedding, - "args": { - "strategy": "concat", - "columns": ["name", "description"], - "to": "name_description", - "delimiter": ":", - "preserveSource": True, - }, - }, - { - "verb": "text_embed", - "enabled": not skip_description_embedding, - "args": { - "embedding_name": "entity_name_description", - "column": "name_description", - "to": "description_embedding", - **entity_name_description_embed_config, - }, - }, - { - "verb": "drop", - "enabled": not skip_description_embedding, - "args": { - "columns": ["name_description"], - }, - }, - { - # ELIMINATE EMPTY DESCRIPTION EMBEDDINGS - "verb": "filter", - "enabled": not skip_description_embedding and not is_using_vector_store, - "args": { - "column": "description_embedding", - "criteria": [ - { - "type": "value", - "operator": "is not empty", - } - ], - }, - }, ] diff --git a/graphrag/index/workflows/v1/create_final_nodes.py b/graphrag/index/workflows/v1/create_final_nodes.py index 31277e7bf0..ff22adbc0f 100644 --- a/graphrag/index/workflows/v1/create_final_nodes.py +++ b/graphrag/index/workflows/v1/create_final_nodes.py @@ -3,7 +3,7 @@ """A module containing build_steps method definition.""" -from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep +from graphrag.index.config.workflow import PipelineWorkflowConfig, PipelineWorkflowStep workflow_name = "create_final_nodes" @@ -19,55 +19,6 @@ def build_steps( """ snapshot_top_level_nodes = config.get("snapshot_top_level_nodes", False) layout_graph_enabled = config.get("layout_graph_enabled", True) - _compute_top_level_node_positions = [ - { - "verb": "unpack_graph", - "args": {"column": "positioned_graph", "type": "nodes"}, - "input": {"source": "laid_out_entity_graph"}, - }, - { - "verb": "filter", - "args": { - "column": "level", - "criteria": [ - { - "type": "value", - "operator": "equals", - "value": config.get("level_for_node_positions", 0), - } - ], - }, - }, - { - "verb": "select", - "args": {"columns": ["id", "x", "y"]}, - }, - { - "verb": "snapshot", - "enabled": snapshot_top_level_nodes, - "args": { - "name": "top_level_nodes", - "formats": ["json"], - }, - }, - { - "id": "_compute_top_level_node_positions", - "verb": "rename", - "args": { - "columns": { - "id": "top_level_node_id", - } - }, - }, - { - "verb": "convert", - "args": { - "column": "top_level_node_id", - "to": "top_level_node_id", - "type": "string", - }, - }, - ] layout_graph_config = config.get( "layout_graph", { @@ -76,41 +27,18 @@ def build_steps( }, }, ) + layout_strategy = layout_graph_config.get("strategy") + level_for_node_positions = config.get("level_for_node_positions", 0) + return [ { "id": "laid_out_entity_graph", - "verb": "layout_graph", + "verb": "create_final_nodes", "args": { - "embeddings_column": "embeddings", - "graph_column": "clustered_graph", - "to": "node_positions", - "graph_to": "positioned_graph", - **layout_graph_config, + "layout_strategy": layout_strategy, + "level_for_node_positions": level_for_node_positions, + "snapshot_top_level_nodes_enabled": snapshot_top_level_nodes, }, "input": {"source": "workflow:create_base_entity_graph"}, }, - { - "verb": "unpack_graph", - "args": {"column": "positioned_graph", "type": "nodes"}, - }, - { - "id": "nodes_without_positions", - "verb": "drop", - "args": {"columns": ["x", "y"]}, - }, - *_compute_top_level_node_positions, - { - "verb": "join", - "args": { - "on": ["id", "top_level_node_id"], - }, - "input": { - "source": "nodes_without_positions", - "others": ["_compute_top_level_node_positions"], - }, - }, - { - "verb": "rename", - "args": {"columns": {"label": "title", "cluster": "community"}}, - }, ] diff --git a/graphrag/index/workflows/v1/create_final_relationships.py b/graphrag/index/workflows/v1/create_final_relationships.py index a58c2a45b4..c3947ba860 100644 --- a/graphrag/index/workflows/v1/create_final_relationships.py +++ b/graphrag/index/workflows/v1/create_final_relationships.py @@ -3,92 +3,32 @@ """A module containing build_steps method definition.""" -from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep +import logging + +from graphrag.index.config.workflow import PipelineWorkflowConfig, PipelineWorkflowStep workflow_name = "create_final_relationships" +log = logging.getLogger(__name__) + def build_steps( - config: PipelineWorkflowConfig, + config: PipelineWorkflowConfig, # noqa: ARG001 ) -> list[PipelineWorkflowStep]: """ Create the final relationships table. ## Dependencies * `workflow:create_base_entity_graph` + * `workflow:create_final_nodes` """ - base_text_embed = config.get("text_embed", {}) - relationship_description_embed_config = config.get( - "relationship_description_embed", base_text_embed - ) - skip_description_embedding = config.get("skip_description_embedding", False) - return [ { - "verb": "unpack_graph", - "args": { - "column": "clustered_graph", - "type": "edges", - }, - "input": {"source": "workflow:create_base_entity_graph"}, - }, - { - "verb": "rename", - "args": {"columns": {"source_id": "text_unit_ids"}}, - }, - { - "verb": "filter", - "args": { - "column": "level", - "criteria": [{"type": "value", "operator": "equals", "value": 0}], - }, - }, - { - "verb": "text_embed", - "enabled": not skip_description_embedding, - "args": { - "embedding_name": "relationship_description", - "column": "description", - "to": "description_embedding", - **relationship_description_embed_config, - }, - }, - { - "id": "pruned_edges", - "verb": "drop", - "args": {"columns": ["level"]}, - }, - { - "id": "filtered_nodes", - "verb": "filter", - "args": { - "column": "level", - "criteria": [{"type": "value", "operator": "equals", "value": 0}], - }, - "input": "workflow:create_final_nodes", - }, - { - "verb": "compute_edge_combined_degree", - "args": {"to": "rank"}, + "verb": "create_final_relationships", + "args": {}, "input": { - "source": "pruned_edges", - "nodes": "filtered_nodes", - }, - }, - { - "verb": "convert", - "args": { - "column": "human_readable_id", - "type": "string", - "to": "human_readable_id", - }, - }, - { - "verb": "convert", - "args": { - "column": "text_unit_ids", - "type": "array", - "to": "text_unit_ids", + "source": "workflow:create_base_entity_graph", + "nodes": "workflow:create_final_nodes", }, }, ] diff --git a/graphrag/index/workflows/v1/create_final_text_units.py b/graphrag/index/workflows/v1/create_final_text_units.py index 56dd0a73d6..a39e22d2e2 100644 --- a/graphrag/index/workflows/v1/create_final_text_units.py +++ b/graphrag/index/workflows/v1/create_final_text_units.py @@ -3,7 +3,7 @@ """A module containing build_steps method definition.""" -from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep +from graphrag.index.config.workflow import PipelineWorkflowConfig, PipelineWorkflowStep workflow_name = "create_final_text_units" @@ -19,143 +19,21 @@ def build_steps( * `workflow:create_final_entities` * `workflow:create_final_communities` """ - base_text_embed = config.get("text_embed", {}) - text_unit_text_embed_config = config.get("text_unit_text_embed", base_text_embed) covariates_enabled = config.get("covariates_enabled", False) - skip_text_unit_embedding = config.get("skip_text_unit_embedding", False) - is_using_vector_store = ( - text_unit_text_embed_config.get("strategy", {}).get("vector_store", None) - is not None - ) + + input = { + "source": "workflow:create_base_text_units", + "entities": "workflow:create_final_entities", + "relationships": "workflow:create_final_relationships", + } + + if covariates_enabled: + input["covariates"] = "workflow:create_final_covariates" return [ { - "verb": "select", - "args": {"columns": ["id", "chunk", "document_ids", "n_tokens"]}, - "input": {"source": "workflow:create_base_text_units"}, - }, - { - "id": "pre_entity_join", - "verb": "rename", - "args": { - "columns": { - "chunk": "text", - }, - }, - }, - # Expand the TextUnits with EntityIDs - { - "id": "pre_relationship_join", - "verb": "join", - "args": { - "on": ["id", "id"], - "strategy": "left outer", - }, - "input": { - "source": "pre_entity_join", - "others": ["workflow:join_text_units_to_entity_ids"], - }, - }, - # Expand the TextUnits with RelationshipIDs - { - "id": "pre_covariate_join", - "verb": "join", - "args": { - "on": ["id", "id"], - "strategy": "left outer", - }, - "input": { - "source": "pre_relationship_join", - "others": ["workflow:join_text_units_to_relationship_ids"], - }, - }, - # Expand the TextUnits with CovariateIDs - { - "enabled": covariates_enabled, - "verb": "join", - "args": { - "on": ["id", "id"], - "strategy": "left outer", - }, - "input": { - "source": "pre_covariate_join", - "others": ["workflow:join_text_units_to_covariate_ids"], - }, - }, - # Mash the entities and relationships into arrays - { - "verb": "aggregate_override", - "args": { - "groupby": ["id"], # from the join above - "aggregations": [ - { - "column": "text", - "operation": "any", - "to": "text", - }, - { - "column": "n_tokens", - "operation": "any", - "to": "n_tokens", - }, - { - "column": "document_ids", - "operation": "any", - "to": "document_ids", - }, - { - "column": "entity_ids", - "operation": "any", - "to": "entity_ids", - }, - { - "column": "relationship_ids", - "operation": "any", - "to": "relationship_ids", - }, - *( - [] - if not covariates_enabled - else [ - { - "column": "covariate_ids", - "operation": "any", - "to": "covariate_ids", - } - ] - ), - ], - }, - }, - # Text-Embed after final aggregations - { - "id": "embedded_text_units", - "verb": "text_embed", - "enabled": not skip_text_unit_embedding, - "args": { - "column": config.get("column", "text"), - "to": config.get("to", "text_embedding"), - **text_unit_text_embed_config, - }, - }, - { - "verb": "select", - "args": { - # Final select to get output in the correct shape - "columns": [ - "id", - "text", - *( - [] - if (skip_text_unit_embedding or is_using_vector_store) - else ["text_embedding"] - ), - "n_tokens", - "document_ids", - "entity_ids", - "relationship_ids", - *([] if not covariates_enabled else ["covariate_ids"]), - ], - }, + "verb": "create_final_text_units", + "args": {}, + "input": input, }, ] diff --git a/graphrag/index/workflows/v1/create_summarized_entities.py b/graphrag/index/workflows/v1/create_summarized_entities.py deleted file mode 100644 index 8f8d7f0042..0000000000 --- a/graphrag/index/workflows/v1/create_summarized_entities.py +++ /dev/null @@ -1,47 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing build_steps method definition.""" - -from datashaper import AsyncType - -from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep - -workflow_name = "create_summarized_entities" - - -def build_steps( - config: PipelineWorkflowConfig, -) -> list[PipelineWorkflowStep]: - """ - Create the base table for extracted entities. - - ## Dependencies - * `workflow:create_base_text_units` - """ - summarize_descriptions_config = config.get("summarize_descriptions", {}) - graphml_snapshot_enabled = config.get("graphml_snapshot", False) or False - - return [ - { - "verb": "summarize_descriptions", - "args": { - **summarize_descriptions_config, - "column": "entity_graph", - "to": "entity_graph", - "async_mode": summarize_descriptions_config.get( - "async_mode", AsyncType.AsyncIO - ), - }, - "input": {"source": "workflow:create_base_extracted_entities"}, - }, - { - "verb": "snapshot_rows", - "enabled": graphml_snapshot_enabled, - "args": { - "base_name": "summarized_graph", - "column": "entity_graph", - "formats": [{"format": "text", "extension": "graphml"}], - }, - }, - ] diff --git a/graphrag/index/workflows/v1/generate_text_embeddings.py b/graphrag/index/workflows/v1/generate_text_embeddings.py new file mode 100644 index 0000000000..58464b33a8 --- /dev/null +++ b/graphrag/index/workflows/v1/generate_text_embeddings.py @@ -0,0 +1,49 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +import logging + +from graphrag.index.config.workflow import PipelineWorkflowConfig, PipelineWorkflowStep + +log = logging.getLogger(__name__) + +workflow_name = "generate_text_embeddings" + +input = { + "source": "workflow:create_final_documents", + "relationships": "workflow:create_final_relationships", + "text_units": "workflow:create_final_text_units", + "entities": "workflow:create_final_entities", + "community_reports": "workflow:create_final_community_reports", +} + + +def build_steps( + config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create the final embeddings files. + + ## Dependencies + * `workflow:create_final_documents` + * `workflow:create_final_relationships` + * `workflow:create_final_text_units` + * `workflow:create_final_entities` + * `workflow:create_final_community_reports` + """ + text_embed = config.get("text_embed", {}) + embedded_fields = config.get("embedded_fields", {}) + snapshot_embeddings = config.get("snapshot_embeddings", False) + return [ + { + "verb": "generate_text_embeddings", + "args": { + "text_embed": text_embed, + "embedded_fields": embedded_fields, + "snapshot_embeddings_enabled": snapshot_embeddings, + }, + "input": input, + }, + ] diff --git a/graphrag/index/workflows/v1/join_text_units_to_covariate_ids.py b/graphrag/index/workflows/v1/join_text_units_to_covariate_ids.py deleted file mode 100644 index be6bddf1e4..0000000000 --- a/graphrag/index/workflows/v1/join_text_units_to_covariate_ids.py +++ /dev/null @@ -1,44 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing build_steps method definition.""" - -from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep - -workflow_name = "join_text_units_to_covariate_ids" - - -def build_steps( - _config: PipelineWorkflowConfig, -) -> list[PipelineWorkflowStep]: - """ - Create the final text-units table. - - ## Dependencies - * `workflow:create_final_covariates` - """ - return [ - { - "verb": "select", - "args": {"columns": ["id", "text_unit_id"]}, - "input": {"source": "workflow:create_final_covariates"}, - }, - { - "verb": "aggregate_override", - "args": { - "groupby": ["text_unit_id"], - "aggregations": [ - { - "column": "id", - "operation": "array_agg_distinct", - "to": "covariate_ids", - }, - { - "column": "text_unit_id", - "operation": "any", - "to": "id", - }, - ], - }, - }, - ] diff --git a/graphrag/index/workflows/v1/join_text_units_to_entity_ids.py b/graphrag/index/workflows/v1/join_text_units_to_entity_ids.py deleted file mode 100644 index 6337502d1a..0000000000 --- a/graphrag/index/workflows/v1/join_text_units_to_entity_ids.py +++ /dev/null @@ -1,50 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing build_steps method definition.""" - -from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep - -workflow_name = "join_text_units_to_entity_ids" - - -def build_steps( - _config: PipelineWorkflowConfig, -) -> list[PipelineWorkflowStep]: - """ - Create a join table from text unit ids to entity ids. - - ## Dependencies - * `workflow:create_final_entities` - """ - return [ - { - "verb": "select", - "args": {"columns": ["id", "text_unit_ids"]}, - "input": {"source": "workflow:create_final_entities"}, - }, - { - "verb": "unroll", - "args": { - "column": "text_unit_ids", - }, - }, - { - "verb": "aggregate_override", - "args": { - "groupby": ["text_unit_ids"], - "aggregations": [ - { - "column": "id", - "operation": "array_agg_distinct", - "to": "entity_ids", - }, - { - "column": "text_unit_ids", - "operation": "any", - "to": "id", - }, - ], - }, - }, - ] diff --git a/graphrag/index/workflows/v1/join_text_units_to_relationship_ids.py b/graphrag/index/workflows/v1/join_text_units_to_relationship_ids.py deleted file mode 100644 index fe6d6463be..0000000000 --- a/graphrag/index/workflows/v1/join_text_units_to_relationship_ids.py +++ /dev/null @@ -1,55 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing build_steps method definition.""" - -from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep - -workflow_name = "join_text_units_to_relationship_ids" - - -def build_steps( - _config: PipelineWorkflowConfig, -) -> list[PipelineWorkflowStep]: - """ - Create a join table from text unit ids to relationship ids. - - ## Dependencies - * `workflow:create_final_relationships - """ - return [ - { - "verb": "select", - "args": {"columns": ["id", "text_unit_ids"]}, - "input": {"source": "workflow:create_final_relationships"}, - }, - { - "verb": "unroll", - "args": { - "column": "text_unit_ids", - }, - }, - { - "verb": "aggregate_override", - "args": { - "groupby": ["text_unit_ids"], - "aggregations": [ - { - "column": "id", - "operation": "array_agg_distinct", - "to": "relationship_ids", - }, - { - "column": "text_unit_ids", - "operation": "any", - "to": "id", - }, - ], - }, - }, - { - "id": "text_unit_id_to_relationship_ids", - "verb": "select", - "args": {"columns": ["id", "relationship_ids"]}, - }, - ] diff --git a/graphrag/index/workflows/v1/subflows/__init__.py b/graphrag/index/workflows/v1/subflows/__init__.py new file mode 100644 index 0000000000..1002a31af9 --- /dev/null +++ b/graphrag/index/workflows/v1/subflows/__init__.py @@ -0,0 +1,50 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine workflows -> subflows package root.""" + +from graphrag.index.workflows.v1.subflows.create_base_entity_graph import ( + create_base_entity_graph, +) +from graphrag.index.workflows.v1.subflows.create_base_text_units import ( + create_base_text_units, +) +from graphrag.index.workflows.v1.subflows.create_final_communities import ( + create_final_communities, +) +from graphrag.index.workflows.v1.subflows.create_final_community_reports import ( + create_final_community_reports, +) +from graphrag.index.workflows.v1.subflows.create_final_covariates import ( + create_final_covariates, +) +from graphrag.index.workflows.v1.subflows.create_final_documents import ( + create_final_documents, +) +from graphrag.index.workflows.v1.subflows.create_final_entities import ( + create_final_entities, +) +from graphrag.index.workflows.v1.subflows.create_final_nodes import create_final_nodes +from graphrag.index.workflows.v1.subflows.create_final_relationships import ( + create_final_relationships, +) +from graphrag.index.workflows.v1.subflows.create_final_text_units import ( + create_final_text_units, +) +from graphrag.index.workflows.v1.subflows.generate_text_embeddings import ( + generate_text_embeddings, +) + +__all__ = [ + "create_base_entity_graph", + "create_base_text_units", + "create_final_communities", + "create_final_community_reports", + "create_final_covariates", + "create_final_documents", + "create_final_entities", + "create_final_nodes", + "create_final_relationships", + "create_final_text_units", + "generate_text_embeddings", +] diff --git a/graphrag/index/workflows/v1/subflows/create_base_entity_graph.py b/graphrag/index/workflows/v1/subflows/create_base_entity_graph.py new file mode 100644 index 0000000000..3f1199e219 --- /dev/null +++ b/graphrag/index/workflows/v1/subflows/create_base_entity_graph.py @@ -0,0 +1,73 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to create the base entity graph.""" + +from typing import Any, cast + +import pandas as pd +from datashaper import ( + AsyncType, + Table, + VerbCallbacks, + verb, +) +from datashaper.table_store.types import VerbResult, create_verb_result + +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.flows.create_base_entity_graph import ( + create_base_entity_graph as create_base_entity_graph_flow, +) +from graphrag.index.storage.pipeline_storage import PipelineStorage + + +@verb( + name="create_base_entity_graph", + treats_input_tables_as_immutable=True, +) +async def create_base_entity_graph( + callbacks: VerbCallbacks, + cache: PipelineCache, + storage: PipelineStorage, + runtime_storage: PipelineStorage, + clustering_strategy: dict[str, Any], + extraction_strategy: dict[str, Any] | None, + extraction_num_threads: int = 4, + extraction_async_mode: AsyncType = AsyncType.AsyncIO, + entity_types: list[str] | None = None, + node_merge_config: dict[str, Any] | None = None, + edge_merge_config: dict[str, Any] | None = None, + summarization_strategy: dict[str, Any] | None = None, + summarization_num_threads: int = 4, + embedding_strategy: dict[str, Any] | None = None, + snapshot_graphml_enabled: bool = False, + snapshot_raw_entities_enabled: bool = False, + snapshot_transient_enabled: bool = False, + **_kwargs: dict, +) -> VerbResult: + """All the steps to create the base entity graph.""" + text_units = await runtime_storage.get("base_text_units") + + output = await create_base_entity_graph_flow( + text_units, + callbacks, + cache, + storage, + clustering_strategy=clustering_strategy, + extraction_strategy=extraction_strategy, + extraction_num_threads=extraction_num_threads, + extraction_async_mode=extraction_async_mode, + entity_types=entity_types, + node_merge_config=node_merge_config, + edge_merge_config=edge_merge_config, + summarization_strategy=summarization_strategy, + summarization_num_threads=summarization_num_threads, + embedding_strategy=embedding_strategy, + snapshot_graphml_enabled=snapshot_graphml_enabled, + snapshot_raw_entities_enabled=snapshot_raw_entities_enabled, + snapshot_transient_enabled=snapshot_transient_enabled, + ) + + await runtime_storage.set("base_entity_graph", output) + + return create_verb_result(cast(Table, pd.DataFrame())) diff --git a/graphrag/index/workflows/v1/subflows/create_base_text_units.py b/graphrag/index/workflows/v1/subflows/create_base_text_units.py new file mode 100644 index 0000000000..e9b3f43938 --- /dev/null +++ b/graphrag/index/workflows/v1/subflows/create_base_text_units.py @@ -0,0 +1,53 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform base text_units.""" + +from typing import Any, cast + +import pandas as pd +from datashaper import ( + Table, + VerbCallbacks, + VerbInput, + verb, +) +from datashaper.table_store.types import VerbResult, create_verb_result + +from graphrag.index.flows.create_base_text_units import ( + create_base_text_units as create_base_text_units_flow, +) +from graphrag.index.storage.pipeline_storage import PipelineStorage + + +@verb(name="create_base_text_units", treats_input_tables_as_immutable=True) +async def create_base_text_units( + input: VerbInput, + callbacks: VerbCallbacks, + storage: PipelineStorage, + runtime_storage: PipelineStorage, + chunk_by_columns: list[str], + chunk_strategy: dict[str, Any] | None = None, + snapshot_transient_enabled: bool = False, + **_kwargs: dict, +) -> VerbResult: + """All the steps to transform base text_units.""" + source = cast(pd.DataFrame, input.get_input()) + + output = await create_base_text_units_flow( + source, + callbacks, + storage, + chunk_by_columns, + chunk_strategy=chunk_strategy, + snapshot_transient_enabled=snapshot_transient_enabled, + ) + + await runtime_storage.set("base_text_units", output) + + return create_verb_result( + cast( + Table, + pd.DataFrame(), + ) + ) diff --git a/graphrag/index/workflows/v1/subflows/create_final_communities.py b/graphrag/index/workflows/v1/subflows/create_final_communities.py new file mode 100644 index 0000000000..d66a327593 --- /dev/null +++ b/graphrag/index/workflows/v1/subflows/create_final_communities.py @@ -0,0 +1,40 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform final communities.""" + +from typing import cast + +from datashaper import ( + Table, + VerbCallbacks, + verb, +) +from datashaper.table_store.types import VerbResult, create_verb_result + +from graphrag.index.flows.create_final_communities import ( + create_final_communities as create_final_communities_flow, +) +from graphrag.index.storage.pipeline_storage import PipelineStorage + + +@verb(name="create_final_communities", treats_input_tables_as_immutable=True) +async def create_final_communities( + callbacks: VerbCallbacks, + runtime_storage: PipelineStorage, + **_kwargs: dict, +) -> VerbResult: + """All the steps to transform final communities.""" + entity_graph = await runtime_storage.get("base_entity_graph") + + output = create_final_communities_flow( + entity_graph, + callbacks, + ) + + return create_verb_result( + cast( + Table, + output, + ) + ) diff --git a/graphrag/index/workflows/v1/subflows/create_final_community_reports.py b/graphrag/index/workflows/v1/subflows/create_final_community_reports.py new file mode 100644 index 0000000000..ff6d9ef8a2 --- /dev/null +++ b/graphrag/index/workflows/v1/subflows/create_final_community_reports.py @@ -0,0 +1,65 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform community reports.""" + +from typing import cast + +import pandas as pd +from datashaper import ( + AsyncType, + Table, + VerbCallbacks, + VerbInput, + verb, +) +from datashaper.table_store.types import VerbResult, create_verb_result + +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.flows.create_final_community_reports import ( + create_final_community_reports as create_final_community_reports_flow, +) +from graphrag.index.utils.ds_util import get_named_input_table, get_required_input_table + + +@verb(name="create_final_community_reports", treats_input_tables_as_immutable=True) +async def create_final_community_reports( + input: VerbInput, + callbacks: VerbCallbacks, + cache: PipelineCache, + summarization_strategy: dict, + async_mode: AsyncType = AsyncType.AsyncIO, + num_threads: int = 4, + **_kwargs: dict, +) -> VerbResult: + """All the steps to transform community reports.""" + nodes = cast(pd.DataFrame, input.get_input()) + edges = cast(pd.DataFrame, get_required_input_table(input, "relationships").table) + entities = cast(pd.DataFrame, get_required_input_table(input, "entities").table) + communities = cast( + pd.DataFrame, get_required_input_table(input, "communities").table + ) + + claims = get_named_input_table(input, "covariates") + if claims: + claims = cast(pd.DataFrame, claims.table) + + output = await create_final_community_reports_flow( + nodes, + edges, + entities, + communities, + claims, + callbacks, + cache, + summarization_strategy, + async_mode=async_mode, + num_threads=num_threads, + ) + + return create_verb_result( + cast( + Table, + output, + ) + ) diff --git a/graphrag/index/workflows/v1/subflows/create_final_covariates.py b/graphrag/index/workflows/v1/subflows/create_final_covariates.py new file mode 100644 index 0000000000..0ab54b1d85 --- /dev/null +++ b/graphrag/index/workflows/v1/subflows/create_final_covariates.py @@ -0,0 +1,49 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to extract and format covariates.""" + +from typing import Any, cast + +from datashaper import ( + AsyncType, + Table, + VerbCallbacks, + verb, +) +from datashaper.table_store.types import VerbResult, create_verb_result + +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.flows.create_final_covariates import ( + create_final_covariates as create_final_covariates_flow, +) +from graphrag.index.storage.pipeline_storage import PipelineStorage + + +@verb(name="create_final_covariates", treats_input_tables_as_immutable=True) +async def create_final_covariates( + callbacks: VerbCallbacks, + cache: PipelineCache, + runtime_storage: PipelineStorage, + covariate_type: str, + extraction_strategy: dict[str, Any] | None, + async_mode: AsyncType = AsyncType.AsyncIO, + entity_types: list[str] | None = None, + num_threads: int = 4, + **_kwargs: dict, +) -> VerbResult: + """All the steps to extract and format covariates.""" + text_units = await runtime_storage.get("base_text_units") + + output = await create_final_covariates_flow( + text_units, + callbacks, + cache, + covariate_type, + extraction_strategy, + async_mode=async_mode, + entity_types=entity_types, + num_threads=num_threads, + ) + + return create_verb_result(cast(Table, output)) diff --git a/graphrag/index/workflows/v1/subflows/create_final_documents.py b/graphrag/index/workflows/v1/subflows/create_final_documents.py new file mode 100644 index 0000000000..4ac4e24dcd --- /dev/null +++ b/graphrag/index/workflows/v1/subflows/create_final_documents.py @@ -0,0 +1,38 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform final documents.""" + +from typing import cast + +import pandas as pd +from datashaper import ( + Table, + VerbInput, + verb, +) +from datashaper.table_store.types import VerbResult, create_verb_result + +from graphrag.index.flows.create_final_documents import ( + create_final_documents as create_final_documents_flow, +) +from graphrag.index.storage.pipeline_storage import PipelineStorage + + +@verb( + name="create_final_documents", + treats_input_tables_as_immutable=True, +) +async def create_final_documents( + input: VerbInput, + runtime_storage: PipelineStorage, + document_attribute_columns: list[str] | None = None, + **_kwargs: dict, +) -> VerbResult: + """All the steps to transform final documents.""" + source = cast(pd.DataFrame, input.get_input()) + text_units = await runtime_storage.get("base_text_units") + + output = create_final_documents_flow(source, text_units, document_attribute_columns) + + return create_verb_result(cast(Table, output)) diff --git a/graphrag/index/workflows/v1/subflows/create_final_entities.py b/graphrag/index/workflows/v1/subflows/create_final_entities.py new file mode 100644 index 0000000000..968fa0d24b --- /dev/null +++ b/graphrag/index/workflows/v1/subflows/create_final_entities.py @@ -0,0 +1,38 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform final entities.""" + +from typing import cast + +from datashaper import ( + Table, + VerbCallbacks, + verb, +) +from datashaper.table_store.types import VerbResult, create_verb_result + +from graphrag.index.flows.create_final_entities import ( + create_final_entities as create_final_entities_flow, +) +from graphrag.index.storage.pipeline_storage import PipelineStorage + + +@verb( + name="create_final_entities", + treats_input_tables_as_immutable=True, +) +async def create_final_entities( + callbacks: VerbCallbacks, + runtime_storage: PipelineStorage, + **_kwargs: dict, +) -> VerbResult: + """All the steps to transform final entities.""" + entity_graph = await runtime_storage.get("base_entity_graph") + + output = create_final_entities_flow( + entity_graph, + callbacks, + ) + + return create_verb_result(cast(Table, output)) diff --git a/graphrag/index/workflows/v1/subflows/create_final_nodes.py b/graphrag/index/workflows/v1/subflows/create_final_nodes.py new file mode 100644 index 0000000000..e8266b76b5 --- /dev/null +++ b/graphrag/index/workflows/v1/subflows/create_final_nodes.py @@ -0,0 +1,48 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform final nodes.""" + +from typing import Any, cast + +from datashaper import ( + Table, + VerbCallbacks, + verb, +) +from datashaper.table_store.types import VerbResult, create_verb_result + +from graphrag.index.flows.create_final_nodes import ( + create_final_nodes as create_final_nodes_flow, +) +from graphrag.index.storage.pipeline_storage import PipelineStorage + + +@verb(name="create_final_nodes", treats_input_tables_as_immutable=True) +async def create_final_nodes( + callbacks: VerbCallbacks, + storage: PipelineStorage, + runtime_storage: PipelineStorage, + layout_strategy: dict[str, Any], + level_for_node_positions: int, + snapshot_top_level_nodes_enabled: bool = False, + **_kwargs: dict, +) -> VerbResult: + """All the steps to transform final nodes.""" + entity_graph = await runtime_storage.get("base_entity_graph") + + output = await create_final_nodes_flow( + entity_graph, + callbacks, + storage, + layout_strategy, + level_for_node_positions, + snapshot_top_level_nodes_enabled=snapshot_top_level_nodes_enabled, + ) + + return create_verb_result( + cast( + Table, + output, + ) + ) diff --git a/graphrag/index/workflows/v1/subflows/create_final_relationships.py b/graphrag/index/workflows/v1/subflows/create_final_relationships.py new file mode 100644 index 0000000000..995eeec834 --- /dev/null +++ b/graphrag/index/workflows/v1/subflows/create_final_relationships.py @@ -0,0 +1,44 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform final relationships.""" + +from typing import cast + +import pandas as pd +from datashaper import ( + Table, + VerbCallbacks, + VerbInput, + verb, +) +from datashaper.table_store.types import VerbResult, create_verb_result + +from graphrag.index.flows.create_final_relationships import ( + create_final_relationships as create_final_relationships_flow, +) +from graphrag.index.storage.pipeline_storage import PipelineStorage +from graphrag.index.utils.ds_util import get_required_input_table + + +@verb( + name="create_final_relationships", + treats_input_tables_as_immutable=True, +) +async def create_final_relationships( + input: VerbInput, + callbacks: VerbCallbacks, + runtime_storage: PipelineStorage, + **_kwargs: dict, +) -> VerbResult: + """All the steps to transform final relationships.""" + entity_graph = await runtime_storage.get("base_entity_graph") + nodes = cast(pd.DataFrame, get_required_input_table(input, "nodes").table) + + output = create_final_relationships_flow( + entity_graph, + nodes, + callbacks, + ) + + return create_verb_result(cast(Table, output)) diff --git a/graphrag/index/workflows/v1/subflows/create_final_text_units.py b/graphrag/index/workflows/v1/subflows/create_final_text_units.py new file mode 100644 index 0000000000..8cc69839a9 --- /dev/null +++ b/graphrag/index/workflows/v1/subflows/create_final_text_units.py @@ -0,0 +1,50 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform the text units.""" + +from typing import cast + +import pandas as pd +from datashaper import ( + Table, + VerbInput, + VerbResult, + create_verb_result, + verb, +) + +from graphrag.index.flows.create_final_text_units import ( + create_final_text_units as create_final_text_units_flow, +) +from graphrag.index.storage.pipeline_storage import PipelineStorage +from graphrag.index.utils.ds_util import get_named_input_table, get_required_input_table + + +@verb(name="create_final_text_units", treats_input_tables_as_immutable=True) +async def create_final_text_units( + input: VerbInput, + runtime_storage: PipelineStorage, + **_kwargs: dict, +) -> VerbResult: + """All the steps to transform the text units.""" + text_units = await runtime_storage.get("base_text_units") + final_entities = cast( + pd.DataFrame, get_required_input_table(input, "entities").table + ) + final_relationships = cast( + pd.DataFrame, get_required_input_table(input, "relationships").table + ) + final_covariates = get_named_input_table(input, "covariates") + + if final_covariates: + final_covariates = cast(pd.DataFrame, final_covariates.table) + + output = create_final_text_units_flow( + text_units, + final_entities, + final_relationships, + final_covariates, + ) + + return create_verb_result(cast(Table, output)) diff --git a/graphrag/index/workflows/v1/subflows/generate_text_embeddings.py b/graphrag/index/workflows/v1/subflows/generate_text_embeddings.py new file mode 100644 index 0000000000..1ac256a90e --- /dev/null +++ b/graphrag/index/workflows/v1/subflows/generate_text_embeddings.py @@ -0,0 +1,70 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All the steps to transform the text units.""" + +import logging +from typing import cast + +import pandas as pd +from datashaper import ( + Table, + VerbCallbacks, + VerbInput, + VerbResult, + create_verb_result, + verb, +) + +from graphrag.index.cache.pipeline_cache import PipelineCache +from graphrag.index.flows.generate_text_embeddings import ( + generate_text_embeddings as generate_text_embeddings_flow, +) +from graphrag.index.storage.pipeline_storage import PipelineStorage +from graphrag.index.utils.ds_util import get_required_input_table + +log = logging.getLogger(__name__) + + +@verb(name="generate_text_embeddings", treats_input_tables_as_immutable=True) +async def generate_text_embeddings( + input: VerbInput, + callbacks: VerbCallbacks, + cache: PipelineCache, + storage: PipelineStorage, + text_embed: dict, + embedded_fields: set[str], + snapshot_embeddings_enabled: bool = False, + **_kwargs: dict, +) -> VerbResult: + """All the steps to generate embeddings.""" + source = cast(pd.DataFrame, input.get_input()) + final_relationships = cast( + pd.DataFrame, get_required_input_table(input, "relationships").table + ) + final_text_units = cast( + pd.DataFrame, get_required_input_table(input, "text_units").table + ) + final_entities = cast( + pd.DataFrame, get_required_input_table(input, "entities").table + ) + + final_community_reports = cast( + pd.DataFrame, get_required_input_table(input, "community_reports").table + ) + + await generate_text_embeddings_flow( + final_documents=source, + final_relationships=final_relationships, + final_text_units=final_text_units, + final_entities=final_entities, + final_community_reports=final_community_reports, + callbacks=callbacks, + cache=cache, + storage=storage, + text_embed_config=text_embed, + embedded_fields=embedded_fields, + snapshot_embeddings_enabled=snapshot_embeddings_enabled, + ) + + return create_verb_result(cast(Table, pd.DataFrame())) diff --git a/graphrag/llm/base/_create_cache_key.py b/graphrag/llm/base/_create_cache_key.py index e435ba460d..b5fdd839bc 100644 --- a/graphrag/llm/base/_create_cache_key.py +++ b/graphrag/llm/base/_create_cache_key.py @@ -4,6 +4,7 @@ """Cache key generation utils.""" import hashlib +import json def _llm_string(params: dict) -> str: @@ -19,7 +20,9 @@ def _hash(_input: str) -> str: return hashlib.md5(_input.encode()).hexdigest() # noqa S324 -def create_hash_key(operation: str, prompt: str, parameters: dict) -> str: +def create_hash_key( + operation: str, prompt: str, parameters: dict, history: list[dict] | None +) -> str: """Compute cache key from prompt and associated model and settings. Args: @@ -31,4 +34,10 @@ def create_hash_key(operation: str, prompt: str, parameters: dict) -> str: str: The cache key. """ llm_string = _llm_string(parameters) - return f"{operation}-{_hash(prompt + llm_string)}" + history_string = _hash(json.dumps(history)) if history else None + hash_string = ( + _hash(prompt + llm_string + history_string) + if history_string + else _hash(prompt + llm_string) + ) + return f"{operation}-{hash_string}" diff --git a/graphrag/llm/base/base_llm.py b/graphrag/llm/base/base_llm.py index 66f1919cd4..65fffd1b95 100644 --- a/graphrag/llm/base/base_llm.py +++ b/graphrag/llm/base/base_llm.py @@ -7,6 +7,7 @@ from abc import ABC, abstractmethod from typing import Generic, TypeVar +from openai import RateLimitError from typing_extensions import Unpack from graphrag.llm.types import ( @@ -52,6 +53,10 @@ async def _invoke(self, input: TIn, **kwargs: Unpack[LLMInput]) -> LLMOutput[TOu try: output = await self._execute_llm(input, **kwargs) return LLMOutput(output=output) + except RateLimitError: + # for improved readability, do not log rate limit exceptions, + # they are logged/handled elsewhere + raise except Exception as e: stack_trace = traceback.format_exc() if self._on_error: diff --git a/graphrag/llm/base/caching_llm.py b/graphrag/llm/base/caching_llm.py index 51c99638f1..c039de5122 100644 --- a/graphrag/llm/base/caching_llm.py +++ b/graphrag/llm/base/caching_llm.py @@ -4,7 +4,7 @@ """A class to interact with the cache.""" import json -from typing import Any, Generic, TypeVar +from typing import Generic, TypeVar from typing_extensions import Unpack @@ -29,7 +29,7 @@ class CachingLLM(LLM[TIn, TOut], Generic[TIn, TOut]): _cache: LLMCache _delegate: LLM[TIn, TOut] _operation: str - _llm_paramaters: dict + _llm_parameters: dict _on_cache_hit: OnCacheActionFn _on_cache_miss: OnCacheActionFn @@ -41,12 +41,16 @@ def __init__( cache: LLMCache, ): self._delegate = delegate - self._llm_paramaters = llm_parameters + self._llm_parameters = llm_parameters self._cache = cache self._operation = operation self._on_cache_hit = _noop_cache_fn self._on_cache_miss = _noop_cache_fn + def set_delegate(self, delegate: LLM[TIn, TOut]) -> None: + """Set the delegate LLM. (for testing).""" + self._delegate = delegate + def on_cache_hit(self, fn: OnCacheActionFn | None) -> None: """Set the function to call when a cache hit occurs.""" self._on_cache_hit = fn or _noop_cache_fn @@ -55,32 +59,16 @@ def on_cache_miss(self, fn: OnCacheActionFn | None) -> None: """Set the function to call when a cache miss occurs.""" self._on_cache_miss = fn or _noop_cache_fn - def _cache_key(self, input: TIn, name: str | None, args: dict) -> str: + def _cache_key( + self, input: TIn, name: str | None, args: dict, history: list[dict] | None + ) -> str: json_input = json.dumps(input) tag = ( f"{name}-{self._operation}-v{_cache_strategy_version}" if name is not None else self._operation ) - return create_hash_key(tag, json_input, args) - - async def _cache_read(self, key: str) -> Any | None: - """Read a value from the cache.""" - return await self._cache.get(key) - - async def _cache_write( - self, key: str, input: TIn, result: TOut | None, args: dict - ) -> None: - """Write a value to the cache.""" - if result: - await self._cache.set( - key, - result, - { - "input": input, - "parameters": args, - }, - ) + return create_hash_key(tag, json_input, args, history) async def __call__( self, @@ -90,18 +78,32 @@ async def __call__( """Execute the LLM.""" # Check for an Existing cache item name = kwargs.get("name") - llm_args = {**self._llm_paramaters, **(kwargs.get("model_parameters") or {})} - cache_key = self._cache_key(input, name, llm_args) - cached_result = await self._cache_read(cache_key) + history_in = kwargs.get("history") or None + llm_args = {**self._llm_parameters, **(kwargs.get("model_parameters") or {})} + cache_key = self._cache_key(input, name, llm_args, history_in) + cached_result = await self._cache.get(cache_key) + if cached_result: self._on_cache_hit(cache_key, name) - return LLMOutput(output=cached_result) + return LLMOutput( + output=cached_result, + ) # Report the Cache Miss self._on_cache_miss(cache_key, name) # Compute the new result result = await self._delegate(input, **kwargs) + # Cache the new result - await self._cache_write(cache_key, input, result.output, llm_args) + if result.output is not None: + await self._cache.set( + cache_key, + result.output, + { + "input": input, + "parameters": llm_args, + "history": history_in, + }, + ) return result diff --git a/graphrag/llm/mock/mock_completion_llm.py b/graphrag/llm/mock/mock_completion_llm.py index 8cb8e95083..7eba4ca7c5 100644 --- a/graphrag/llm/mock/mock_completion_llm.py +++ b/graphrag/llm/mock/mock_completion_llm.py @@ -3,6 +3,7 @@ """LLM Static Response method definition.""" +import json import logging from typing_extensions import Unpack @@ -12,6 +13,7 @@ CompletionInput, CompletionOutput, LLMInput, + LLMOutput, ) log = logging.getLogger(__name__) @@ -35,3 +37,6 @@ async def _execute_llm( **kwargs: Unpack[LLMInput], ) -> CompletionOutput: return self.responses[0] + + async def _invoke_json(self, input: CompletionInput, **kwargs: Unpack[LLMInput]): + return LLMOutput(output=self.responses[0], json=json.loads(self.responses[0])) diff --git a/graphrag/llm/openai/_json.py b/graphrag/llm/openai/_json.py deleted file mode 100644 index 22184cc221..0000000000 --- a/graphrag/llm/openai/_json.py +++ /dev/null @@ -1,25 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""JSON cleaning and formatting utilities.""" - - -def clean_up_json(json_str: str) -> str: - """Clean up json string.""" - json_str = ( - json_str.replace("\\n", "") - .replace("\n", "") - .replace("\r", "") - .replace('"[{', "[{") - .replace('}]"', "}]") - .replace("\\", "") - .strip() - ) - - # Remove JSON Markdown Frame - if json_str.startswith("```json"): - json_str = json_str[len("```json") :] - if json_str.endswith("```"): - json_str = json_str[: len(json_str) - len("```")] - - return json_str diff --git a/graphrag/llm/openai/create_openai_client.py b/graphrag/llm/openai/create_openai_client.py index 40d7d649d7..40d15cad0a 100644 --- a/graphrag/llm/openai/create_openai_client.py +++ b/graphrag/llm/openai/create_openai_client.py @@ -32,15 +32,16 @@ def create_openai_client( api_base, configuration.deployment_name, ) - if configuration.cognitive_services_endpoint is None: - cognitive_services_endpoint = "https://cognitiveservices.azure.com/.default" - else: - cognitive_services_endpoint = configuration.cognitive_services_endpoint + audience = ( + configuration.audience + if configuration.audience + else "https://cognitiveservices.azure.com/.default" + ) return AsyncAzureOpenAI( api_key=configuration.api_key if configuration.api_key else None, azure_ad_token_provider=get_bearer_token_provider( - DefaultAzureCredential(), cognitive_services_endpoint + DefaultAzureCredential(), audience ) if not configuration.api_key else None, diff --git a/graphrag/llm/openai/json_parsing_llm.py b/graphrag/llm/openai/json_parsing_llm.py index 843ca0ecb7..009c1da42e 100644 --- a/graphrag/llm/openai/json_parsing_llm.py +++ b/graphrag/llm/openai/json_parsing_llm.py @@ -33,5 +33,6 @@ async def __call__( """Call the LLM with the input and kwargs.""" result = await self._delegate(input, **kwargs) if kwargs.get("json") and result.json is None and result.output is not None: - result.json = try_parse_json_object(result.output) + _, parsed_json = try_parse_json_object(result.output) + result.json = parsed_json return result diff --git a/graphrag/llm/openai/openai_chat_llm.py b/graphrag/llm/openai/openai_chat_llm.py index e4add8a25e..bd821ac661 100644 --- a/graphrag/llm/openai/openai_chat_llm.py +++ b/graphrag/llm/openai/openai_chat_llm.py @@ -4,7 +4,6 @@ """The Chat-based language model.""" import logging -from json import JSONDecodeError from typing_extensions import Unpack @@ -16,7 +15,6 @@ LLMOutput, ) -from ._json import clean_up_json from ._prompts import JSON_CHECK_PROMPT from .openai_configuration import OpenAIConfiguration from .types import OpenAIClientTypes @@ -87,7 +85,9 @@ def is_valid(x: dict | None) -> bool: if is_valid(result.json): return result - raise RuntimeError(FAILED_TO_CREATE_JSON_ERROR) + + error_msg = f"{FAILED_TO_CREATE_JSON_ERROR} - Faulty JSON: {result.json!s}" + raise RuntimeError(error_msg) async def _native_json( self, input: CompletionInput, **kwargs: Unpack[LLMInput] @@ -104,11 +104,10 @@ async def _native_json( }, ) - raw_output = result.output or "" - json_output = try_parse_json_object(raw_output) + output, json_output = try_parse_json_object(result.output or "") return LLMOutput[CompletionOutput]( - output=raw_output, + output=output, json=json_output, history=result.history, ) @@ -119,24 +118,23 @@ async def _manual_json( # Otherwise, clean up the output and try to parse it as json result = await self._invoke(input, **kwargs) history = result.history or [] - output = clean_up_json(result.output or "") - try: - json_output = try_parse_json_object(output) + output, json_output = try_parse_json_object(result.output or "") + if json_output: return LLMOutput[CompletionOutput]( - output=output, json=json_output, history=history + output=result.output, json=json_output, history=history ) - except (TypeError, JSONDecodeError): - log.warning("error parsing llm json, retrying") - # If cleaned up json is unparsable, use the LLM to reformat it (may throw) - result = await self._try_clean_json_with_llm(output, **kwargs) - output = clean_up_json(result.output or "") - json = try_parse_json_object(output) + # if not return correct formatted json, retry + log.warning("error parsing llm json, retrying") - return LLMOutput[CompletionOutput]( - output=output, - json=json, - history=history, - ) + # If cleaned up json is unparsable, use the LLM to reformat it (may throw) + result = await self._try_clean_json_with_llm(output, **kwargs) + output, json_output = try_parse_json_object(result.output or "") + + return LLMOutput[CompletionOutput]( + output=output, + json=json_output, + history=history, + ) async def _try_clean_json_with_llm( self, output: str, **kwargs: Unpack[LLMInput] diff --git a/graphrag/llm/openai/openai_completion_llm.py b/graphrag/llm/openai/openai_completion_llm.py index bdbac6c131..74511c02a2 100644 --- a/graphrag/llm/openai/openai_completion_llm.py +++ b/graphrag/llm/openai/openai_completion_llm.py @@ -39,5 +39,5 @@ async def _execute_llm( args = get_completion_llm_args( kwargs.get("model_parameters"), self.configuration ) - completion = self.client.completions.create(prompt=input, **args) + completion = await self.client.completions.create(prompt=input, **args) return completion.choices[0].text diff --git a/graphrag/llm/openai/openai_configuration.py b/graphrag/llm/openai/openai_configuration.py index 1bcd5694d6..cbcc54093d 100644 --- a/graphrag/llm/openai/openai_configuration.py +++ b/graphrag/llm/openai/openai_configuration.py @@ -26,7 +26,7 @@ class OpenAIConfiguration(Hashable, LLMConfig): _api_base: str | None _api_version: str | None - _cognitive_services_endpoint: str | None + _audience: str | None _deployment_name: str | None _organization: str | None _proxy: str | None @@ -103,7 +103,7 @@ def lookup_bool(key: str) -> bool | None: self._deployment_name = lookup_str("deployment_name") self._api_base = lookup_str("api_base") self._api_version = lookup_str("api_version") - self._cognitive_services_endpoint = lookup_str("cognitive_services_endpoint") + self._audience = lookup_str("audience") self._organization = lookup_str("organization") self._proxy = lookup_str("proxy") self._n = lookup_int("n") @@ -156,9 +156,9 @@ def api_version(self) -> str | None: return _non_blank(self._api_version) @property - def cognitive_services_endpoint(self) -> str | None: + def audience(self) -> str | None: """API version property definition.""" - return _non_blank(self._cognitive_services_endpoint) + return _non_blank(self._audience) @property def organization(self) -> str | None: diff --git a/graphrag/llm/openai/openai_history_tracking_llm.py b/graphrag/llm/openai/openai_history_tracking_llm.py index 26ac8e227d..ab903c2d2a 100644 --- a/graphrag/llm/openai/openai_history_tracking_llm.py +++ b/graphrag/llm/openai/openai_history_tracking_llm.py @@ -34,5 +34,9 @@ async def __call__( return LLMOutput( output=output.output, json=output.json, - history=[*history, {"role": "system", "content": output.output}], + history=[ + *history, + {"role": "user", "content": input}, + {"role": "assistant", "content": output.output}, + ], ) diff --git a/graphrag/llm/openai/utils.py b/graphrag/llm/openai/utils.py index d529a8c069..64b7118d9b 100644 --- a/graphrag/llm/openai/utils.py +++ b/graphrag/llm/openai/utils.py @@ -5,10 +5,12 @@ import json import logging +import re from collections.abc import Callable from typing import Any import tiktoken +from json_repair import repair_json from openai import ( APIConnectionError, InternalServerError, @@ -87,17 +89,62 @@ def get_completion_llm_args( } -def try_parse_json_object(input: str) -> dict: - """Generate JSON-string output using best-attempt prompting & parsing techniques.""" +def try_parse_json_object(input: str) -> tuple[str, dict]: + """JSON cleaning and formatting utilities.""" + # Sometimes, the LLM returns a json string with some extra description, this function will clean it up. + + result = None + try: + # Try parse first + result = json.loads(input) + except json.JSONDecodeError: + log.info("Warning: Error decoding faulty json, attempting repair") + + if result: + return input, result + + _pattern = r"\{(.*)\}" + _match = re.search(_pattern, input, re.DOTALL) + input = "{" + _match.group(1) + "}" if _match else input + + # Clean up json string. + input = ( + input.replace("{{", "{") + .replace("}}", "}") + .replace('"[{', "[{") + .replace('}]"', "}]") + .replace("\\", " ") + .replace("\\n", " ") + .replace("\n", " ") + .replace("\r", "") + .strip() + ) + + # Remove JSON Markdown Frame + if input.startswith("```json"): + input = input[len("```json") :] + if input.endswith("```"): + input = input[: len(input) - len("```")] + try: result = json.loads(input) except json.JSONDecodeError: - log.exception("error loading json, json=%s", input) - raise + # Fixup potentially malformed json string using json_repair. + input = str(repair_json(json_str=input, return_objects=False)) + + # Generate JSON-string output using best-attempt prompting & parsing techniques. + try: + result = json.loads(input) + except json.JSONDecodeError: + log.exception("error loading json, json=%s", input) + return input, {} + else: + if not isinstance(result, dict): + log.exception("not expected dict type. type=%s:", type(result)) + return input, {} + return input, result else: - if not isinstance(result, dict): - raise TypeError - return result + return input, result def get_sleep_time_from_error(e: Any) -> float: diff --git a/graphrag/llm/types/llm_io.py b/graphrag/llm/types/llm_io.py index 051b5b8288..256f3c8ce8 100644 --- a/graphrag/llm/types/llm_io.py +++ b/graphrag/llm/types/llm_io.py @@ -26,7 +26,7 @@ class LLMInput(TypedDict): variables: NotRequired[dict] """The variable replacements to use in the prompt.""" - history: NotRequired[list[dict]] + history: NotRequired[list[dict] | None] """The history of the LLM invocation, if available (e.g. chat mode)""" model_parameters: NotRequired[dict] diff --git a/graphrag/logging/__init__.py b/graphrag/logging/__init__.py new file mode 100644 index 0000000000..9f5fe0de3a --- /dev/null +++ b/graphrag/logging/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Logging utilities and implementations.""" diff --git a/graphrag/logging/base.py b/graphrag/logging/base.py new file mode 100644 index 0000000000..3afb69aaba --- /dev/null +++ b/graphrag/logging/base.py @@ -0,0 +1,69 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Base classes for logging and progress reporting.""" + +from abc import ABC, abstractmethod +from typing import Any + +from datashaper.progress.types import Progress + + +class StatusLogger(ABC): + """Provides a way to report status updates from the pipeline.""" + + @abstractmethod + def error(self, message: str, details: dict[str, Any] | None = None): + """Report an error.""" + + @abstractmethod + def warning(self, message: str, details: dict[str, Any] | None = None): + """Report a warning.""" + + @abstractmethod + def log(self, message: str, details: dict[str, Any] | None = None): + """Report a log.""" + + +class ProgressReporter(ABC): + """ + Abstract base class for progress reporters. + + This is used to report workflow processing progress via mechanisms like progress-bars. + """ + + @abstractmethod + def __call__(self, update: Progress): + """Update progress.""" + + @abstractmethod + def dispose(self): + """Dispose of the progress reporter.""" + + @abstractmethod + def child(self, prefix: str, transient=True) -> "ProgressReporter": + """Create a child progress bar.""" + + @abstractmethod + def force_refresh(self) -> None: + """Force a refresh.""" + + @abstractmethod + def stop(self) -> None: + """Stop the progress reporter.""" + + @abstractmethod + def error(self, message: str) -> None: + """Report an error.""" + + @abstractmethod + def warning(self, message: str) -> None: + """Report a warning.""" + + @abstractmethod + def info(self, message: str) -> None: + """Report information.""" + + @abstractmethod + def success(self, message: str) -> None: + """Report success.""" diff --git a/graphrag/query/progress.py b/graphrag/logging/console.py similarity index 52% rename from graphrag/query/progress.py rename to graphrag/logging/console.py index ad5bcee734..e42269e645 100644 --- a/graphrag/query/progress.py +++ b/graphrag/logging/console.py @@ -1,29 +1,14 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""Status Reporter for orchestration.""" +"""Console Reporter.""" -from abc import ABCMeta, abstractmethod from typing import Any +from graphrag.logging.base import StatusLogger -class StatusReporter(metaclass=ABCMeta): - """Provides a way to report status updates from the pipeline.""" - @abstractmethod - def error(self, message: str, details: dict[str, Any] | None = None): - """Report an error.""" - - @abstractmethod - def warning(self, message: str, details: dict[str, Any] | None = None): - """Report a warning.""" - - @abstractmethod - def log(self, message: str, details: dict[str, Any] | None = None): - """Report a log.""" - - -class ConsoleStatusReporter(StatusReporter): +class ConsoleReporter(StatusLogger): """A reporter that writes to a console.""" def error(self, message: str, details: dict[str, Any] | None = None): diff --git a/graphrag/logging/factories.py b/graphrag/logging/factories.py new file mode 100644 index 0000000000..9deefb3207 --- /dev/null +++ b/graphrag/logging/factories.py @@ -0,0 +1,36 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Factory functions for creating loggers.""" + +from graphrag.logging.base import ProgressReporter +from graphrag.logging.null_progress import NullProgressReporter +from graphrag.logging.print_progress import PrintProgressReporter +from graphrag.logging.rich_progress import RichProgressReporter +from graphrag.logging.types import ReporterType + + +def create_progress_reporter( + reporter_type: ReporterType = ReporterType.NONE, +) -> ProgressReporter: + """Load a progress reporter. + + Parameters + ---------- + reporter_type : {"rich", "print", "none"}, default=rich + The type of progress reporter to load. + + Returns + ------- + ProgressReporter + """ + match reporter_type: + case ReporterType.RICH: + return RichProgressReporter("GraphRAG Indexer ") + case ReporterType.PRINT: + return PrintProgressReporter("GraphRAG Indexer ") + case ReporterType.NONE: + return NullProgressReporter() + case _: + msg = f"Invalid progress reporter type: {reporter_type}" + raise ValueError(msg) diff --git a/graphrag/logging/null_progress.py b/graphrag/logging/null_progress.py new file mode 100644 index 0000000000..4d46400170 --- /dev/null +++ b/graphrag/logging/null_progress.py @@ -0,0 +1,38 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Null Progress Reporter.""" + +from graphrag.logging.base import Progress, ProgressReporter + + +class NullProgressReporter(ProgressReporter): + """A progress reporter that does nothing.""" + + def __call__(self, update: Progress) -> None: + """Update progress.""" + + def dispose(self) -> None: + """Dispose of the progress reporter.""" + + def child(self, prefix: str, transient: bool = True) -> ProgressReporter: + """Create a child progress bar.""" + return self + + def force_refresh(self) -> None: + """Force a refresh.""" + + def stop(self) -> None: + """Stop the progress reporter.""" + + def error(self, message: str) -> None: + """Report an error.""" + + def warning(self, message: str) -> None: + """Report a warning.""" + + def info(self, message: str) -> None: + """Report information.""" + + def success(self, message: str) -> None: + """Report success.""" diff --git a/graphrag/logging/print_progress.py b/graphrag/logging/print_progress.py new file mode 100644 index 0000000000..20c45dd38b --- /dev/null +++ b/graphrag/logging/print_progress.py @@ -0,0 +1,50 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Print Progress Reporter.""" + +from graphrag.logging.base import Progress, ProgressReporter + + +class PrintProgressReporter(ProgressReporter): + """A progress reporter that does nothing.""" + + prefix: str + + def __init__(self, prefix: str): + """Create a new progress reporter.""" + self.prefix = prefix + print(f"\n{self.prefix}", end="") # noqa T201 + + def __call__(self, update: Progress) -> None: + """Update progress.""" + print(".", end="") # noqa T201 + + def dispose(self) -> None: + """Dispose of the progress reporter.""" + + def child(self, prefix: str, transient: bool = True) -> "ProgressReporter": + """Create a child progress bar.""" + return PrintProgressReporter(prefix) + + def stop(self) -> None: + """Stop the progress reporter.""" + + def force_refresh(self) -> None: + """Force a refresh.""" + + def error(self, message: str) -> None: + """Report an error.""" + print(f"\n{self.prefix}ERROR: {message}") # noqa T201 + + def warning(self, message: str) -> None: + """Report a warning.""" + print(f"\n{self.prefix}WARNING: {message}") # noqa T201 + + def info(self, message: str) -> None: + """Report information.""" + print(f"\n{self.prefix}INFO: {message}") # noqa T201 + + def success(self, message: str) -> None: + """Report success.""" + print(f"\n{self.prefix}SUCCESS: {message}") # noqa T201 diff --git a/graphrag/index/progress/rich.py b/graphrag/logging/rich_progress.py similarity index 98% rename from graphrag/index/progress/rich.py rename to graphrag/logging/rich_progress.py index 362b64f0c8..f83261dbd6 100644 --- a/graphrag/index/progress/rich.py +++ b/graphrag/logging/rich_progress.py @@ -13,7 +13,7 @@ from rich.spinner import Spinner from rich.tree import Tree -from .types import ProgressReporter +from graphrag.logging.base import ProgressReporter # https://stackoverflow.com/a/34325723 diff --git a/graphrag/logging/types.py b/graphrag/logging/types.py new file mode 100644 index 0000000000..d852a47e8d --- /dev/null +++ b/graphrag/logging/types.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Types for status reporting.""" + +from enum import Enum + + +class ReporterType(str, Enum): + """The type of reporter to use.""" + + RICH = "rich" + PRINT = "print" + NONE = "none" + + def __str__(self): + """Return the string representation of the enum value.""" + return self.value diff --git a/graphrag/model/__init__.py b/graphrag/model/__init__.py index 9dbec3d1dd..6523d9d916 100644 --- a/graphrag/model/__init__.py +++ b/graphrag/model/__init__.py @@ -1,31 +1,4 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -""" -GraphRAG knowledge model package root. - -The GraphRAG knowledge model contains a set of classes that represent the target datamodels for our pipelines and analytics tools. -These models can be augmented and integrated into your own data infrastructure to suit your needs. -""" - -from .community import Community -from .community_report import CommunityReport -from .covariate import Covariate -from .document import Document -from .entity import Entity -from .identified import Identified -from .named import Named -from .relationship import Relationship -from .text_unit import TextUnit - -__all__ = [ - "Community", - "CommunityReport", - "Covariate", - "Document", - "Entity", - "Identified", - "Named", - "Relationship", - "TextUnit", -] +"""GraphRAG knowledge model package root.""" diff --git a/graphrag/model/community.py b/graphrag/model/community.py index 800a9a292a..43d6c4033a 100644 --- a/graphrag/model/community.py +++ b/graphrag/model/community.py @@ -6,7 +6,7 @@ from dataclasses import dataclass from typing import Any -from .named import Named +from graphrag.model.named import Named @dataclass @@ -25,21 +25,33 @@ class Community(Named): covariate_ids: dict[str, list[str]] | None = None """Dictionary of different types of covariates related to the community (optional), e.g. claims""" + sub_community_ids: list[str] | None = None + """List of community IDs of the child nodes of this community (optional).""" + attributes: dict[str, Any] | None = None """A dictionary of additional attributes associated with the community (optional). To be included in the search prompt.""" + size: int | None = None + """The size of the community (Amount of text units).""" + + period: str | None = None + "" + @classmethod def from_dict( cls, d: dict[str, Any], id_key: str = "id", title_key: str = "title", - short_id_key: str = "short_id", + short_id_key: str = "human_readable_id", level_key: str = "level", entities_key: str = "entity_ids", relationships_key: str = "relationship_ids", covariates_key: str = "covariate_ids", + sub_communities_key: str = "sub_community_ids", attributes_key: str = "attributes", + size_key: str = "size", + period_key: str = "period", ) -> "Community": """Create a new community from the dict data.""" return Community( @@ -50,5 +62,8 @@ def from_dict( entity_ids=d.get(entities_key), relationship_ids=d.get(relationships_key), covariate_ids=d.get(covariates_key), + sub_community_ids=d.get(sub_communities_key), attributes=d.get(attributes_key), + size=d.get(size_key), + period=d.get(period_key), ) diff --git a/graphrag/model/community_report.py b/graphrag/model/community_report.py index 2666c0b5a8..9216fb68d9 100644 --- a/graphrag/model/community_report.py +++ b/graphrag/model/community_report.py @@ -6,7 +6,7 @@ from dataclasses import dataclass from typing import Any -from .named import Named +from graphrag.model.named import Named @dataclass @@ -34,20 +34,28 @@ class CommunityReport(Named): attributes: dict[str, Any] | None = None """A dictionary of additional attributes associated with the report (optional).""" + size: int | None = None + """The size of the report (Amount of text units).""" + + period: str | None = None + """The period of the report (optional).""" + @classmethod def from_dict( cls, d: dict[str, Any], id_key: str = "id", title_key: str = "title", - community_id_key: str = "community_id", - short_id_key: str = "short_id", + community_id_key: str = "community", + short_id_key: str = "human_readable_id", summary_key: str = "summary", full_content_key: str = "full_content", rank_key: str = "rank", summary_embedding_key: str = "summary_embedding", full_content_embedding_key: str = "full_content_embedding", attributes_key: str = "attributes", + size_key: str = "size", + period_key: str = "period", ) -> "CommunityReport": """Create a new community report from the dict data.""" return CommunityReport( @@ -61,4 +69,6 @@ def from_dict( summary_embedding=d.get(summary_embedding_key), full_content_embedding=d.get(full_content_embedding_key), attributes=d.get(attributes_key), + size=d.get(size_key), + period=d.get(period_key), ) diff --git a/graphrag/model/covariate.py b/graphrag/model/covariate.py index b974b6b327..0ce188e497 100644 --- a/graphrag/model/covariate.py +++ b/graphrag/model/covariate.py @@ -6,7 +6,7 @@ from dataclasses import dataclass from typing import Any -from .identified import Identified +from graphrag.model.identified import Identified @dataclass @@ -30,9 +30,6 @@ class Covariate(Identified): text_unit_ids: list[str] | None = None """List of text unit IDs in which the covariate info appears (optional).""" - document_ids: list[str] | None = None - """List of document IDs in which the covariate info appears (optional).""" - attributes: dict[str, Any] | None = None @classmethod @@ -41,11 +38,9 @@ def from_dict( d: dict[str, Any], id_key: str = "id", subject_id_key: str = "subject_id", - subject_type_key: str = "subject_type", covariate_type_key: str = "covariate_type", - short_id_key: str = "short_id", + short_id_key: str = "human_readable_id", text_unit_ids_key: str = "text_unit_ids", - document_ids_key: str = "document_ids", attributes_key: str = "attributes", ) -> "Covariate": """Create a new covariate from the dict data.""" @@ -53,9 +48,7 @@ def from_dict( id=d[id_key], short_id=d.get(short_id_key), subject_id=d[subject_id_key], - subject_type=d.get(subject_type_key, "entity"), covariate_type=d.get(covariate_type_key, "claim"), text_unit_ids=d.get(text_unit_ids_key), - document_ids=d.get(document_ids_key), attributes=d.get(attributes_key), ) diff --git a/graphrag/model/document.py b/graphrag/model/document.py index b54a39ac91..ec2b2d4523 100644 --- a/graphrag/model/document.py +++ b/graphrag/model/document.py @@ -6,7 +6,7 @@ from dataclasses import dataclass, field from typing import Any -from .named import Named +from graphrag.model.named import Named @dataclass @@ -19,16 +19,10 @@ class Document(Named): text_unit_ids: list[str] = field(default_factory=list) """list of text units in the document.""" - raw_content: str = "" + text: str = "" """The raw text content of the document.""" - summary: str | None = None - """Summary of the document (optional).""" - - summary_embedding: list[float] | None = None - """The semantic embedding for the document summary (optional).""" - - raw_content_embedding: list[float] | None = None + text_embedding: list[float] | None = None """The semantic embedding for the document raw content (optional).""" attributes: dict[str, Any] | None = None @@ -39,13 +33,11 @@ def from_dict( cls, d: dict[str, Any], id_key: str = "id", - short_id_key: str = "short_id", + short_id_key: str = "human_readable_id", title_key: str = "title", type_key: str = "type", - raw_content_key: str = "raw_content", - summary_key: str = "summary", - summary_embedding_key: str = "summary_embedding", - raw_content_embedding_key: str = "raw_content_embedding", + text_key: str = "text", + text_embedding_key: str = "text_embedding", text_units_key: str = "text_units", attributes_key: str = "attributes", ) -> "Document": @@ -55,10 +47,8 @@ def from_dict( short_id=d.get(short_id_key), title=d[title_key], type=d.get(type_key, "text"), - raw_content=d[raw_content_key], - summary=d.get(summary_key), - summary_embedding=d.get(summary_embedding_key), - raw_content_embedding=d.get(raw_content_embedding_key), + text=d[text_key], + text_embedding=d.get(text_embedding_key), text_unit_ids=d.get(text_units_key, []), attributes=d.get(attributes_key), ) diff --git a/graphrag/model/entity.py b/graphrag/model/entity.py index 37c26342aa..4c45dfbc40 100644 --- a/graphrag/model/entity.py +++ b/graphrag/model/entity.py @@ -6,7 +6,7 @@ from dataclasses import dataclass from typing import Any -from .named import Named +from graphrag.model.named import Named @dataclass @@ -25,18 +25,12 @@ class Entity(Named): name_embedding: list[float] | None = None """The semantic (i.e. text) embedding of the entity (optional).""" - graph_embedding: list[float] | None = None - """The graph embedding of the entity, likely from node2vec (optional).""" - community_ids: list[str] | None = None """The community IDs of the entity (optional).""" text_unit_ids: list[str] | None = None """List of text unit IDs in which the entity appears (optional).""" - document_ids: list[str] | None = None - """List of document IDs in which the entity appears (optional).""" - rank: int | None = 1 """Rank of the entity, used for sorting (optional). Higher rank indicates more important entity. This can be based on centrality or other metrics.""" @@ -48,16 +42,14 @@ def from_dict( cls, d: dict[str, Any], id_key: str = "id", - short_id_key: str = "short_id", + short_id_key: str = "human_readable_id", title_key: str = "title", type_key: str = "type", description_key: str = "description", description_embedding_key: str = "description_embedding", name_embedding_key: str = "name_embedding", - graph_embedding_key: str = "graph_embedding", community_key: str = "community", text_unit_ids_key: str = "text_unit_ids", - document_ids_key: str = "document_ids", rank_key: str = "degree", attributes_key: str = "attributes", ) -> "Entity": @@ -70,10 +62,8 @@ def from_dict( description=d.get(description_key), name_embedding=d.get(name_embedding_key), description_embedding=d.get(description_embedding_key), - graph_embedding=d.get(graph_embedding_key), community_ids=d.get(community_key), rank=d.get(rank_key, 1), text_unit_ids=d.get(text_unit_ids_key), - document_ids=d.get(document_ids_key), attributes=d.get(attributes_key), ) diff --git a/graphrag/model/named.py b/graphrag/model/named.py index 5352c77c96..245fb5d333 100644 --- a/graphrag/model/named.py +++ b/graphrag/model/named.py @@ -5,7 +5,7 @@ from dataclasses import dataclass -from .identified import Identified +from graphrag.model.identified import Identified @dataclass diff --git a/graphrag/model/relationship.py b/graphrag/model/relationship.py index fadd0aaa6f..ee9b24c1f6 100644 --- a/graphrag/model/relationship.py +++ b/graphrag/model/relationship.py @@ -6,7 +6,7 @@ from dataclasses import dataclass from typing import Any -from .identified import Identified +from graphrag.model.identified import Identified @dataclass @@ -31,8 +31,8 @@ class Relationship(Identified): text_unit_ids: list[str] | None = None """List of text unit IDs in which the relationship appears (optional).""" - document_ids: list[str] | None = None - """List of document IDs in which the relationship appears (optional).""" + rank: int | None = 1 + """Rank of the relationship, used for sorting (optional). Higher rank indicates more important relationship. This can be based on centrality or other metrics.""" attributes: dict[str, Any] | None = None """Additional attributes associated with the relationship (optional). To be included in the search prompt""" @@ -42,13 +42,13 @@ def from_dict( cls, d: dict[str, Any], id_key: str = "id", - short_id_key: str = "short_id", + short_id_key: str = "human_readable_id", source_key: str = "source", target_key: str = "target", description_key: str = "description", + rank_key: str = "rank", weight_key: str = "weight", text_unit_ids_key: str = "text_unit_ids", - document_ids_key: str = "document_ids", attributes_key: str = "attributes", ) -> "Relationship": """Create a new relationship from the dict data.""" @@ -57,9 +57,9 @@ def from_dict( short_id=d.get(short_id_key), source=d[source_key], target=d[target_key], + rank=d.get(rank_key, 1), description=d.get(description_key), weight=d.get(weight_key, 1.0), text_unit_ids=d.get(text_unit_ids_key), - document_ids=d.get(document_ids_key), attributes=d.get(attributes_key), ) diff --git a/graphrag/model/text_unit.py b/graphrag/model/text_unit.py index cff4ac01c1..4ad3b9e8d4 100644 --- a/graphrag/model/text_unit.py +++ b/graphrag/model/text_unit.py @@ -6,7 +6,7 @@ from dataclasses import dataclass from typing import Any -from .identified import Identified +from graphrag.model.identified import Identified @dataclass @@ -42,7 +42,7 @@ def from_dict( cls, d: dict[str, Any], id_key: str = "id", - short_id_key: str = "short_id", + short_id_key: str = "human_readable_id", text_key: str = "text", text_embedding_key: str = "text_embedding", entities_key: str = "entity_ids", diff --git a/graphrag/prompt_tune/__init__.py b/graphrag/prompt_tune/__init__.py index 2384b5793c..6997787e61 100644 --- a/graphrag/prompt_tune/__init__.py +++ b/graphrag/prompt_tune/__init__.py @@ -1,4 +1,4 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""Command line interface for the fine_tune module.""" +"""The prompt-tuning package root.""" diff --git a/graphrag/prompt_tune/__main__.py b/graphrag/prompt_tune/__main__.py deleted file mode 100644 index e752b05a8f..0000000000 --- a/graphrag/prompt_tune/__main__.py +++ /dev/null @@ -1,148 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Prompt auto templating package root.""" - -import argparse -import asyncio -from enum import Enum - -from graphrag.prompt_tune.generator import MAX_TOKEN_COUNT -from graphrag.prompt_tune.loader import MIN_CHUNK_SIZE - -from .cli import prompt_tune - - -class DocSelectionType(Enum): - """The type of document selection to use.""" - - ALL = "all" - RANDOM = "random" - TOP = "top" - AUTO = "auto" - - def __str__(self): - """Return the string representation of the enum value.""" - return self.value - - -if __name__ == "__main__": - parser = argparse.ArgumentParser() - - parser.add_argument( - "--root", - help="The data project root. Including the config yml, json or .env", - required=False, - type=str, - default=".", - ) - - parser.add_argument( - "--domain", - help="The domain your input data is related to. For example 'space science', 'microbiology', 'environmental news'. If left empty, the domain will be inferred from the input data.", - required=False, - default="", - type=str, - ) - - parser.add_argument( - "--method", - help="The method to select documents, one of: all, random, top or auto", - required=False, - type=DocSelectionType, - choices=list(DocSelectionType), - default=DocSelectionType.RANDOM, - ) - - parser.add_argument( - "--n_subset_max", - help="The number of text chunks to embed when using auto selection method", - required=False, - type=int, - default=300, - ) - - parser.add_argument( - "--k", - help="The maximum number of documents to select from each centroid when using auto selection method", - required=False, - type=int, - default=15, - ) - - parser.add_argument( - "--limit", - help="The limit of files to load when doing random or top selection", - type=int, - required=False, - default=15, - ) - - parser.add_argument( - "--max-tokens", - help="Max token count for prompt generation", - type=int, - required=False, - default=MAX_TOKEN_COUNT, - ) - - parser.add_argument( - "--min-examples-required", - help="The minimum number of examples required in entity extraction prompt", - type=int, - required=False, - default=2, - ) - - parser.add_argument( - "--chunk-size", - help="Max token count for prompt generation", - type=int, - required=False, - default=MIN_CHUNK_SIZE, - ) - - parser.add_argument( - "--language", - help="Primary language used for inputs and outputs on GraphRAG", - type=str, - required=False, - default="", - ) - - parser.add_argument( - "--no-entity-types", - help="Use untyped entity extraction generation", - action="store_true", - required=False, - default=False, - ) - - parser.add_argument( - "--output", - help="Folder to save the generated prompts to", - type=str, - required=False, - default="prompts", - ) - - args = parser.parse_args() - - loop = asyncio.get_event_loop() - - loop.run_until_complete( - prompt_tune( - args.root, - args.domain, - str(args.method), - args.limit, - args.max_tokens, - args.chunk_size, - args.language, - args.no_entity_types, - args.output, - args.n_subset_max, - args.k, - args.min_examples_required, - ) - ) diff --git a/graphrag/prompt_tune/cli.py b/graphrag/prompt_tune/cli.py deleted file mode 100644 index 5979a4a6ee..0000000000 --- a/graphrag/prompt_tune/cli.py +++ /dev/null @@ -1,272 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Command line interface for the fine_tune module.""" - -from pathlib import Path - -from datashaper import NoopVerbCallbacks - -from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.index.llm import load_llm -from graphrag.index.progress import PrintProgressReporter -from graphrag.index.progress.types import ProgressReporter -from graphrag.llm.types.llm_types import CompletionLLM -from graphrag.prompt_tune.generator import ( - MAX_TOKEN_COUNT, - create_community_summarization_prompt, - create_entity_extraction_prompt, - create_entity_summarization_prompt, - detect_language, - generate_community_report_rating, - generate_community_reporter_role, - generate_domain, - generate_entity_relationship_examples, - generate_entity_types, - generate_persona, -) -from graphrag.prompt_tune.loader import ( - MIN_CHUNK_SIZE, - load_docs_in_chunks, - read_config_parameters, -) - - -async def prompt_tune( - root: str, - domain: str, - select: str = "random", - limit: int = 15, - max_tokens: int = MAX_TOKEN_COUNT, - chunk_size: int = MIN_CHUNK_SIZE, - language: str | None = None, - skip_entity_types: bool = False, - output: str = "prompts", - n_subset_max: int = 300, - k: int = 15, - min_examples_required: int = 2, -): - """Prompt tune the model. - - Parameters - ---------- - - root: The root directory. - - domain: The domain to map the input documents to. - - select: The chunk selection method. - - limit: The limit of chunks to load. - - max_tokens: The maximum number of tokens to use on entity extraction prompts. - - chunk_size: The chunk token size to use. - - skip_entity_types: Skip generating entity types. - - output: The output folder to store the prompts. - - n_subset_max: The number of text chunks to embed when using auto selection method. - - k: The number of documents to select when using auto selection method. - """ - reporter = PrintProgressReporter("") - config = read_config_parameters(root, reporter) - - await prompt_tune_with_config( - root, - config, - domain, - select, - limit, - max_tokens, - chunk_size, - language, - skip_entity_types, - output, - reporter, - n_subset_max, - k, - min_examples_required, - ) - - -async def prompt_tune_with_config( - root: str, - config: GraphRagConfig, - domain: str, - select: str = "random", - limit: int = 15, - max_tokens: int = MAX_TOKEN_COUNT, - chunk_size: int = MIN_CHUNK_SIZE, - language: str | None = None, - skip_entity_types: bool = False, - output: str = "prompts", - reporter: ProgressReporter | None = None, - n_subset_max: int = 300, - k: int = 15, - min_examples_required: int = 2, -): - """Prompt tune the model with a configuration. - - Parameters - ---------- - - root: The root directory. - - config: The GraphRag configuration. - - domain: The domain to map the input documents to. - - select: The chunk selection method. - - limit: The limit of chunks to load. - - max_tokens: The maximum number of tokens to use on entity extraction prompts. - - chunk_size: The chunk token size to use for input text units. - - skip_entity_types: Skip generating entity types. - - output: The output folder to store the prompts. - - reporter: The progress reporter. - - n_subset_max: The number of text chunks to embed when using auto selection method. - - k: The number of documents to select when using auto selection method. - - Returns - ------- - - None - """ - if not reporter: - reporter = PrintProgressReporter("") - - output_path = Path(config.root_dir) / output - - doc_list = await load_docs_in_chunks( - root=root, - config=config, - limit=limit, - select_method=select, - reporter=reporter, - chunk_size=chunk_size, - n_subset_max=n_subset_max, - k=k, - ) - - # Create LLM from config - llm = load_llm( - "prompt_tuning", - config.llm.type, - NoopVerbCallbacks(), - None, - config.llm.model_dump(), - ) - - await generate_indexing_prompts( - llm, - config, - doc_list, - output_path, - reporter, - domain, - language, - max_tokens, - skip_entity_types, - min_examples_required, - ) - - -async def generate_indexing_prompts( - llm: CompletionLLM, - config: GraphRagConfig, - doc_list: list[str], - output_path: Path, - reporter: ProgressReporter, - domain: str | None = None, - language: str | None = None, - max_tokens: int = MAX_TOKEN_COUNT, - skip_entity_types: bool = False, - min_examples_required: int = 2, -): - """Generate indexing prompts. - - Parameters - ---------- - - llm: The LLM model to use. - - config: The GraphRag configuration. - - doc_list: The list of documents to use. - - output_path: The path to store the prompts. - - reporter: The progress reporter. - - domain: The domain to map the input documents to. - - max_tokens: The maximum number of tokens to use on entity extraction prompts - - skip_entity_types: Skip generating entity types. - - min_examples_required: The minimum number of examples required for entity extraction prompts. - """ - if not domain: - reporter.info("Generating domain...") - domain = await generate_domain(llm, doc_list) - reporter.info(f"Generated domain: {domain}") - - if not language: - reporter.info("Detecting language...") - language = await detect_language(llm, doc_list) - reporter.info(f"Detected language: {language}") - - reporter.info("Generating persona...") - persona = await generate_persona(llm, domain) - reporter.info(f"Generated persona: {persona}") - - reporter.info("Generating community report ranking description...") - community_report_ranking = await generate_community_report_rating( - llm, domain=domain, persona=persona, docs=doc_list - ) - reporter.info( - f"Generated community report ranking description: {community_report_ranking}" - ) - - entity_types = None - if not skip_entity_types: - reporter.info("Generating entity types") - entity_types = await generate_entity_types( - llm, - domain=domain, - persona=persona, - docs=doc_list, - json_mode=config.llm.model_supports_json or False, - ) - reporter.info(f"Generated entity types: {entity_types}") - - reporter.info("Generating entity relationship examples...") - examples = await generate_entity_relationship_examples( - llm, - persona=persona, - entity_types=entity_types, - docs=doc_list, - language=language, - json_mode=False, # config.llm.model_supports_json should be used, but this prompts are used in non-json by the index engine - ) - reporter.info("Done generating entity relationship examples") - - reporter.info("Generating entity extraction prompt...") - create_entity_extraction_prompt( - entity_types=entity_types, - docs=doc_list, - examples=examples, - language=language, - json_mode=False, # config.llm.model_supports_json should be used, but this prompts are used in non-json by the index engine - output_path=output_path, - encoding_model=config.encoding_model, - max_token_count=max_tokens, - min_examples_required=min_examples_required, - ) - reporter.info(f"Generated entity extraction prompt, stored in folder {output_path}") - - reporter.info("Generating entity summarization prompt...") - create_entity_summarization_prompt( - persona=persona, - language=language, - output_path=output_path, - ) - reporter.info( - f"Generated entity summarization prompt, stored in folder {output_path}" - ) - - reporter.info("Generating community reporter role...") - community_reporter_role = await generate_community_reporter_role( - llm, domain=domain, persona=persona, docs=doc_list - ) - reporter.info(f"Generated community reporter role: {community_reporter_role}") - - reporter.info("Generating community summarization prompt...") - create_community_summarization_prompt( - persona=persona, - role=community_reporter_role, - report_rating_description=community_report_ranking, - language=language, - output_path=output_path, - ) - reporter.info( - f"Generated community summarization prompt, stored in folder {output_path}" - ) diff --git a/graphrag/prompt_tune/defaults.py b/graphrag/prompt_tune/defaults.py new file mode 100644 index 0000000000..e72c82e1f6 --- /dev/null +++ b/graphrag/prompt_tune/defaults.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Default values for the prompt-tuning module. + +Note: These values get accessed from the CLI to set default behavior. +To maintain fast responsiveness from the CLI, do not add long-running code in this file and be mindful of imports. +""" + +DEFAULT_TASK = """ +Identify the relations and structure of the community of interest, specifically within the {domain} domain. +""" + +K = 15 +MAX_TOKEN_COUNT = 2000 +MIN_CHUNK_SIZE = 200 +N_SUBSET_MAX = 300 +MIN_CHUNK_OVERLAP = 0 diff --git a/graphrag/prompt_tune/generator/__init__.py b/graphrag/prompt_tune/generator/__init__.py index df45b46033..8f144052ac 100644 --- a/graphrag/prompt_tune/generator/__init__.py +++ b/graphrag/prompt_tune/generator/__init__.py @@ -2,29 +2,3 @@ # Licensed under the MIT License """Prompt generation module.""" - -from .community_report_rating import generate_community_report_rating -from .community_report_summarization import create_community_summarization_prompt -from .community_reporter_role import generate_community_reporter_role -from .defaults import MAX_TOKEN_COUNT -from .domain import generate_domain -from .entity_extraction_prompt import create_entity_extraction_prompt -from .entity_relationship import generate_entity_relationship_examples -from .entity_summarization_prompt import create_entity_summarization_prompt -from .entity_types import generate_entity_types -from .language import detect_language -from .persona import generate_persona - -__all__ = [ - "MAX_TOKEN_COUNT", - "create_community_summarization_prompt", - "create_entity_extraction_prompt", - "create_entity_summarization_prompt", - "detect_language", - "generate_community_report_rating", - "generate_community_reporter_role", - "generate_domain", - "generate_entity_relationship_examples", - "generate_entity_types", - "generate_persona", -] diff --git a/graphrag/prompt_tune/generator/community_report_rating.py b/graphrag/prompt_tune/generator/community_report_rating.py index 59f94d5698..23d7cc6832 100644 --- a/graphrag/prompt_tune/generator/community_report_rating.py +++ b/graphrag/prompt_tune/generator/community_report_rating.py @@ -4,7 +4,7 @@ # Licensed under the MIT License from graphrag.llm.types.llm_types import CompletionLLM -from graphrag.prompt_tune.prompt import ( +from graphrag.prompt_tune.prompt.community_report_rating import ( GENERATE_REPORT_RATING_PROMPT, ) diff --git a/graphrag/prompt_tune/generator/community_report_summarization.py b/graphrag/prompt_tune/generator/community_report_summarization.py index b0c0b614d2..4d2d0da846 100644 --- a/graphrag/prompt_tune/generator/community_report_summarization.py +++ b/graphrag/prompt_tune/generator/community_report_summarization.py @@ -5,7 +5,9 @@ from pathlib import Path -from graphrag.prompt_tune.template import COMMUNITY_REPORT_SUMMARIZATION_PROMPT +from graphrag.prompt_tune.template.community_report_summarization import ( + COMMUNITY_REPORT_SUMMARIZATION_PROMPT, +) COMMUNITY_SUMMARIZATION_FILENAME = "community_report.txt" diff --git a/graphrag/prompt_tune/generator/community_reporter_role.py b/graphrag/prompt_tune/generator/community_reporter_role.py index 9abd5ed83f..f16a6c3dd4 100644 --- a/graphrag/prompt_tune/generator/community_reporter_role.py +++ b/graphrag/prompt_tune/generator/community_reporter_role.py @@ -4,7 +4,7 @@ """Generate a community reporter role for community summarization.""" from graphrag.llm.types.llm_types import CompletionLLM -from graphrag.prompt_tune.prompt import ( +from graphrag.prompt_tune.prompt.community_reporter_role import ( GENERATE_COMMUNITY_REPORTER_ROLE_PROMPT, ) diff --git a/graphrag/prompt_tune/generator/defaults.py b/graphrag/prompt_tune/generator/defaults.py deleted file mode 100644 index 5b42f81332..0000000000 --- a/graphrag/prompt_tune/generator/defaults.py +++ /dev/null @@ -1,10 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Default values for the fine-tuning module.""" - -DEFAULT_TASK = """ -Identify the relations and structure of the community of interest, specifically within the {domain} domain. -""" - -MAX_TOKEN_COUNT = 2000 diff --git a/graphrag/prompt_tune/generator/entity_extraction_prompt.py b/graphrag/prompt_tune/generator/entity_extraction_prompt.py index 3b17dbab5d..a170642995 100644 --- a/graphrag/prompt_tune/generator/entity_extraction_prompt.py +++ b/graphrag/prompt_tune/generator/entity_extraction_prompt.py @@ -7,7 +7,7 @@ import graphrag.config.defaults as defs from graphrag.index.utils.tokens import num_tokens_from_string -from graphrag.prompt_tune.template import ( +from graphrag.prompt_tune.template.entity_extraction import ( EXAMPLE_EXTRACTION_TEMPLATE, GRAPH_EXTRACTION_JSON_PROMPT, GRAPH_EXTRACTION_PROMPT, @@ -41,7 +41,7 @@ def create_entity_extraction_prompt( - encoding_model (str): The name of the model to use for token counting - max_token_count (int): The maximum number of tokens to use for the prompt - json_mode (bool): Whether to use JSON mode for the prompt. Default is False - - output_path (Path | None): The path to write the prompt to. Default is None. If None, the prompt is not written to a file. Default is None. + - output_path (Path | None): The path to write the prompt to. Default is None. - min_examples_required (int): The minimum number of examples required. Default is 2. Returns @@ -54,12 +54,12 @@ def create_entity_extraction_prompt( else UNTYPED_GRAPH_EXTRACTION_PROMPT ) if isinstance(entity_types, list): - entity_types = ", ".join(entity_types) + entity_types = ", ".join(map(str, entity_types)) tokens_left = ( max_token_count - - num_tokens_from_string(prompt, model=encoding_model) - - num_tokens_from_string(entity_types, model=encoding_model) + - num_tokens_from_string(prompt, encoding_name=encoding_model) + - num_tokens_from_string(entity_types, encoding_name=encoding_model) if entity_types else 0 ) @@ -79,7 +79,9 @@ def create_entity_extraction_prompt( ) ) - example_tokens = num_tokens_from_string(example_formatted, model=encoding_model) + example_tokens = num_tokens_from_string( + example_formatted, encoding_name=encoding_model + ) # Ensure at least three examples are included if i >= min_examples_required and example_tokens > tokens_left: diff --git a/graphrag/prompt_tune/generator/entity_relationship.py b/graphrag/prompt_tune/generator/entity_relationship.py index 72ecb5f4da..f8862bd6ef 100644 --- a/graphrag/prompt_tune/generator/entity_relationship.py +++ b/graphrag/prompt_tune/generator/entity_relationship.py @@ -7,7 +7,7 @@ import json from graphrag.llm.types.llm_types import CompletionLLM -from graphrag.prompt_tune.prompt import ( +from graphrag.prompt_tune.prompt.entity_relationship import ( ENTITY_RELATIONSHIPS_GENERATION_JSON_PROMPT, ENTITY_RELATIONSHIPS_GENERATION_PROMPT, UNTYPED_ENTITY_RELATIONSHIPS_GENERATION_PROMPT, @@ -34,7 +34,9 @@ async def generate_entity_relationship_examples( if entity_types: entity_types_str = ( - entity_types if isinstance(entity_types, str) else ", ".join(entity_types) + entity_types + if isinstance(entity_types, str) + else ", ".join(map(str, entity_types)) ) messages = [ diff --git a/graphrag/prompt_tune/generator/entity_summarization_prompt.py b/graphrag/prompt_tune/generator/entity_summarization_prompt.py index 4ae5af77ec..979e5b0a6a 100644 --- a/graphrag/prompt_tune/generator/entity_summarization_prompt.py +++ b/graphrag/prompt_tune/generator/entity_summarization_prompt.py @@ -5,7 +5,9 @@ from pathlib import Path -from graphrag.prompt_tune.template import ENTITY_SUMMARIZATION_PROMPT +from graphrag.prompt_tune.template.entity_summarization import ( + ENTITY_SUMMARIZATION_PROMPT, +) ENTITY_SUMMARIZATION_FILENAME = "summarize_descriptions.txt" @@ -15,13 +17,14 @@ def create_entity_summarization_prompt( language: str, output_path: Path | None = None, ) -> str: - """Create a prompt for entity summarization. If output_path is provided, write the prompt to a file. + """ + Create a prompt for entity summarization. Parameters ---------- - persona (str): The persona to use for the entity summarization prompt - language (str): The language to use for the entity summarization prompt - - output_path (Path | None): The path to write the prompt to. Default is None. If None, the prompt is not written to a file. Default is None. + - output_path (Path | None): The path to write the prompt to. Default is None. """ prompt = ENTITY_SUMMARIZATION_PROMPT.format(persona=persona, language=language) diff --git a/graphrag/prompt_tune/generator/entity_types.py b/graphrag/prompt_tune/generator/entity_types.py index 42518acd8c..51ac0020e0 100644 --- a/graphrag/prompt_tune/generator/entity_types.py +++ b/graphrag/prompt_tune/generator/entity_types.py @@ -4,7 +4,7 @@ """Entity type generation module for fine-tuning.""" from graphrag.llm.types.llm_types import CompletionLLM -from graphrag.prompt_tune.generator.defaults import DEFAULT_TASK +from graphrag.prompt_tune.defaults import DEFAULT_TASK from graphrag.prompt_tune.prompt.entity_types import ( ENTITY_TYPE_GENERATION_JSON_PROMPT, ENTITY_TYPE_GENERATION_PROMPT, diff --git a/graphrag/prompt_tune/generator/language.py b/graphrag/prompt_tune/generator/language.py index 38de531ca3..d803df9c54 100644 --- a/graphrag/prompt_tune/generator/language.py +++ b/graphrag/prompt_tune/generator/language.py @@ -4,7 +4,7 @@ """Language detection for GraphRAG prompts.""" from graphrag.llm.types.llm_types import CompletionLLM -from graphrag.prompt_tune.prompt import DETECT_LANGUAGE_PROMPT +from graphrag.prompt_tune.prompt.language import DETECT_LANGUAGE_PROMPT async def detect_language(llm: CompletionLLM, docs: str | list[str]) -> str: diff --git a/graphrag/prompt_tune/generator/persona.py b/graphrag/prompt_tune/generator/persona.py index cdd57a655d..c66cc4a717 100644 --- a/graphrag/prompt_tune/generator/persona.py +++ b/graphrag/prompt_tune/generator/persona.py @@ -4,8 +4,8 @@ """Persona generating module for fine-tuning GraphRAG prompts.""" from graphrag.llm.types.llm_types import CompletionLLM -from graphrag.prompt_tune.generator.defaults import DEFAULT_TASK -from graphrag.prompt_tune.prompt import GENERATE_PERSONA_PROMPT +from graphrag.prompt_tune.defaults import DEFAULT_TASK +from graphrag.prompt_tune.prompt.persona import GENERATE_PERSONA_PROMPT async def generate_persona( diff --git a/graphrag/prompt_tune/loader/__init__.py b/graphrag/prompt_tune/loader/__init__.py index 94e64cbe87..7c7a6f88ff 100644 --- a/graphrag/prompt_tune/loader/__init__.py +++ b/graphrag/prompt_tune/loader/__init__.py @@ -2,13 +2,3 @@ # Licensed under the MIT License """Fine-tuning config and data loader module.""" - -from .config import read_config_parameters -from .input import MIN_CHUNK_OVERLAP, MIN_CHUNK_SIZE, load_docs_in_chunks - -__all__ = [ - "MIN_CHUNK_OVERLAP", - "MIN_CHUNK_SIZE", - "load_docs_in_chunks", - "read_config_parameters", -] diff --git a/graphrag/prompt_tune/loader/config.py b/graphrag/prompt_tune/loader/config.py deleted file mode 100644 index 8994604f92..0000000000 --- a/graphrag/prompt_tune/loader/config.py +++ /dev/null @@ -1,43 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Config loading, parsing and handling module.""" - -from pathlib import Path - -from graphrag.config import create_graphrag_config -from graphrag.index.progress.types import ProgressReporter - - -def read_config_parameters(root: str, reporter: ProgressReporter): - """Read the configuration parameters from the settings file or environment variables. - - Parameters - ---------- - - root: The root directory where the parameters are. - - reporter: The progress reporter. - """ - _root = Path(root) - settings_yaml = _root / "settings.yaml" - if not settings_yaml.exists(): - settings_yaml = _root / "settings.yml" - settings_json = _root / "settings.json" - - if settings_yaml.exists(): - reporter.info(f"Reading settings from {settings_yaml}") - with settings_yaml.open("rb") as file: - import yaml - - data = yaml.safe_load(file.read().decode(encoding="utf-8", errors="strict")) - return create_graphrag_config(data, root) - - if settings_json.exists(): - reporter.info(f"Reading settings from {settings_json}") - with settings_json.open("rb") as file: - import json - - data = json.loads(file.read().decode(encoding="utf-8", errors="strict")) - return create_graphrag_config(data, root) - - reporter.info("Reading settings from environment variables") - return create_graphrag_config(root_dir=root) diff --git a/graphrag/prompt_tune/loader/input.py b/graphrag/prompt_tune/loader/input.py index 6fe369906c..eb8ad8f8f6 100644 --- a/graphrag/prompt_tune/loader/input.py +++ b/graphrag/prompt_tune/loader/input.py @@ -3,23 +3,24 @@ """Input loading module.""" -from typing import cast - import numpy as np import pandas as pd -from datashaper import NoopVerbCallbacks, TableContainer, VerbInput +from datashaper import NoopVerbCallbacks +import graphrag.config.defaults as defs from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.index.input import load_input -from graphrag.index.llm import load_llm_embeddings -from graphrag.index.progress.types import ProgressReporter -from graphrag.index.verbs import chunk +from graphrag.index.input.load_input import load_input +from graphrag.index.llm.load_llm import load_llm_embeddings +from graphrag.index.operations.chunk_text import chunk_text from graphrag.llm.types.llm_types import EmbeddingLLM - -MIN_CHUNK_OVERLAP = 0 -MIN_CHUNK_SIZE = 200 -N_SUBSET_MAX = 300 -K = 15 +from graphrag.logging.base import ProgressReporter +from graphrag.prompt_tune.defaults import ( + MIN_CHUNK_OVERLAP, + MIN_CHUNK_SIZE, + N_SUBSET_MAX, + K, +) +from graphrag.prompt_tune.types import DocSelectionType async def _embed_chunks( @@ -49,7 +50,7 @@ def _sample_chunks_from_embeddings( async def load_docs_in_chunks( root: str, config: GraphRagConfig, - select_method: str, + select_method: DocSelectionType, limit: int, reporter: ProgressReporter, chunk_size: int = MIN_CHUNK_SIZE, @@ -60,23 +61,20 @@ async def load_docs_in_chunks( dataset = await load_input(config.input, reporter, root) # covert to text units - input = VerbInput(input=TableContainer(table=dataset)) - chunk_strategy = config.chunks.resolved_strategy() + chunk_strategy = config.chunks.resolved_strategy(defs.ENCODING_MODEL) # Use smaller chunks, to avoid huge prompts chunk_strategy["chunk_size"] = chunk_size chunk_strategy["chunk_overlap"] = MIN_CHUNK_OVERLAP - dataset_chunks_table_container = chunk( - input, + dataset_chunks = chunk_text( + dataset, column="text", to="chunks", callbacks=NoopVerbCallbacks(), strategy=chunk_strategy, ) - dataset_chunks = cast(pd.DataFrame, dataset_chunks_table_container.table) - # Select chunks into a new df and explode it chunks_df = pd.DataFrame(dataset_chunks["chunks"].explode()) # type: ignore @@ -84,11 +82,11 @@ async def load_docs_in_chunks( if limit <= 0 or limit > len(chunks_df): limit = len(chunks_df) - if select_method == "top": + if select_method == DocSelectionType.TOP: chunks_df = chunks_df[:limit] - elif select_method == "random": + elif select_method == DocSelectionType.RANDOM: chunks_df = chunks_df.sample(n=limit) - elif select_method == "auto": + elif select_method == DocSelectionType.AUTO: if k is None or k <= 0: msg = "k must be an integer > 0" raise ValueError(msg) diff --git a/graphrag/prompt_tune/prompt/__init__.py b/graphrag/prompt_tune/prompt/__init__.py index 991d52856e..497c56dda5 100644 --- a/graphrag/prompt_tune/prompt/__init__.py +++ b/graphrag/prompt_tune/prompt/__init__.py @@ -1,32 +1,4 @@ -"""Persona, entity type, relationships and domain generation prompts module.""" - # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -from .community_report_rating import GENERATE_REPORT_RATING_PROMPT -from .community_reporter_role import GENERATE_COMMUNITY_REPORTER_ROLE_PROMPT -from .domain import GENERATE_DOMAIN_PROMPT -from .entity_relationship import ( - ENTITY_RELATIONSHIPS_GENERATION_JSON_PROMPT, - ENTITY_RELATIONSHIPS_GENERATION_PROMPT, - UNTYPED_ENTITY_RELATIONSHIPS_GENERATION_PROMPT, -) -from .entity_types import ( - ENTITY_TYPE_GENERATION_JSON_PROMPT, - ENTITY_TYPE_GENERATION_PROMPT, -) -from .language import DETECT_LANGUAGE_PROMPT -from .persona import GENERATE_PERSONA_PROMPT - -__all__ = [ - "DETECT_LANGUAGE_PROMPT", - "ENTITY_RELATIONSHIPS_GENERATION_JSON_PROMPT", - "ENTITY_RELATIONSHIPS_GENERATION_PROMPT", - "ENTITY_TYPE_GENERATION_JSON_PROMPT", - "ENTITY_TYPE_GENERATION_PROMPT", - "GENERATE_COMMUNITY_REPORTER_ROLE_PROMPT", - "GENERATE_DOMAIN_PROMPT", - "GENERATE_PERSONA_PROMPT", - "GENERATE_REPORT_RATING_PROMPT", - "UNTYPED_ENTITY_RELATIONSHIPS_GENERATION_PROMPT", -] +"""Persona, entity type, relationships and domain generation prompts module.""" diff --git a/graphrag/prompt_tune/prompt/entity_relationship.py b/graphrag/prompt_tune/prompt/entity_relationship.py index af31d09003..66eefa9947 100644 --- a/graphrag/prompt_tune/prompt/entity_relationship.py +++ b/graphrag/prompt_tune/prompt/entity_relationship.py @@ -12,8 +12,7 @@ - entity_name: Name of the entity, capitalized - entity_type: One of the following types: [{entity_types}] - entity_description: Comprehensive description of the entity's attributes and activities -Format each entity, include the parenthesis at the beginning and end, as ("entity"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) -for example: ("entity"{{tuple_delimiter}}"Microsoft"{{tuple_delimiter}}"organization"{{tuple_delimiter}}"Microsoft is a technology company") +Format each entity as ("entity"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) 2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. For each pair of related entities, extract the following information: @@ -21,12 +20,104 @@ - target_entity: name of the target entity, as identified in step 1 - relationship_description: explanation as to why you think the source entity and the target entity are related to each other - relationship_strength: an integer score between 1 to 10, indicating strength of the relationship between the source entity and target entity -Format each relationship, include the parenthesis at the beginning and end, as ("relationship"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) -for example: ("relationship"{{tuple_delimiter}}"company A"{{tuple_delimiter}}"person A"{{tuple_delimiter}}"company A is currently owned by person A"{{tuple_delimiter}}8) +Format each relationship as ("relationship"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) -3. Return output in {language} as a single list of all the entities and relationships identified in steps 1 and 2. Use **{{record_delimiter}}** as the list delimiter. If you have to translate, just translate the descriptions, nothing else! +3. Return output in {language} as a single list of all the entities and relationships identified in steps 1 and 2. Use {{record_delimiter}} as the list delimiter. -4. When finished, output {{completion_delimiter}}. +4. If you have to translate into {language}, just translate the descriptions, nothing else! + +5. When finished, output {{completion_delimiter}}. + +###################### +-Examples- +###################### +Example 1: +Entity_types: ORGANIZATION,PERSON +Text: +The Verdantis's Central Institution is scheduled to meet on Monday and Thursday, with the institution planning to release its latest policy decision on Thursday at 1:30 p.m. PDT, followed by a press conference where Central Institution Chair Martin Smith will take questions. Investors expect the Market Strategy Committee to hold its benchmark interest rate steady in a range of 3.5%-3.75%. +###################### +Output: +("entity"{{tuple_delimiter}}CENTRAL INSTITUTION{{tuple_delimiter}}ORGANIZATION{{tuple_delimiter}}The Central Institution is the Federal Reserve of Verdantis, which is setting interest rates on Monday and Thursday) +{{record_delimiter}} +("entity"{{tuple_delimiter}}MARTIN SMITH{{tuple_delimiter}}PERSON{{tuple_delimiter}}Martin Smith is the chair of the Central Institution) +{{record_delimiter}} +("entity"{{tuple_delimiter}}MARKET STRATEGY COMMITTEE{{tuple_delimiter}}ORGANIZATION{{tuple_delimiter}}The Central Institution committee makes key decisions about interest rates and the growth of Verdantis's money supply) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}MARTIN SMITH{{tuple_delimiter}}CENTRAL INSTITUTION{{tuple_delimiter}}Martin Smith is the Chair of the Central Institution and will answer questions at a press conference{{tuple_delimiter}}9) +{{completion_delimiter}} + +###################### +Example 2: +Entity_types: ORGANIZATION +Text: +TechGlobal's (TG) stock skyrocketed in its opening day on the Global Exchange Thursday. But IPO experts warn that the semiconductor corporation's debut on the public markets isn't indicative of how other newly listed companies may perform. + +TechGlobal, a formerly public company, was taken private by Vision Holdings in 2014. The well-established chip designer says it powers 85% of premium smartphones. +###################### +Output: +("entity"{{tuple_delimiter}}TECHGLOBAL{{tuple_delimiter}}ORGANIZATION{{tuple_delimiter}}TechGlobal is a stock now listed on the Global Exchange which powers 85% of premium smartphones) +{{record_delimiter}} +("entity"{{tuple_delimiter}}VISION HOLDINGS{{tuple_delimiter}}ORGANIZATION{{tuple_delimiter}}Vision Holdings is a firm that previously owned TechGlobal) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}TECHGLOBAL{{tuple_delimiter}}VISION HOLDINGS{{tuple_delimiter}}Vision Holdings formerly owned TechGlobal from 2014 until present{{tuple_delimiter}}5) +{{completion_delimiter}} + +###################### +Example 3: +Entity_types: ORGANIZATION,GEO,PERSON +Text: +Five Aurelians jailed for 8 years in Firuzabad and widely regarded as hostages are on their way home to Aurelia. + +The swap orchestrated by Quintara was finalized when $8bn of Firuzi funds were transferred to financial institutions in Krohaara, the capital of Quintara. + +The exchange initiated in Firuzabad's capital, Tiruzia, led to the four men and one woman, who are also Firuzi nationals, boarding a chartered flight to Krohaara. + +They were welcomed by senior Aurelian officials and are now on their way to Aurelia's capital, Cashion. + +The Aurelians include 39-year-old businessman Samuel Namara, who has been held in Tiruzia's Alhamia Prison, as well as journalist Durke Bataglani, 59, and environmentalist Meggie Tazbah, 53, who also holds Bratinas nationality. +###################### +Output: +("entity"{{tuple_delimiter}}FIRUZABAD{{tuple_delimiter}}GEO{{tuple_delimiter}}Firuzabad held Aurelians as hostages) +{{record_delimiter}} +("entity"{{tuple_delimiter}}AURELIA{{tuple_delimiter}}GEO{{tuple_delimiter}}Country seeking to release hostages) +{{record_delimiter}} +("entity"{{tuple_delimiter}}QUINTARA{{tuple_delimiter}}GEO{{tuple_delimiter}}Country that negotiated a swap of money in exchange for hostages) +{{record_delimiter}} +{{record_delimiter}} +("entity"{{tuple_delimiter}}TIRUZIA{{tuple_delimiter}}GEO{{tuple_delimiter}}Capital of Firuzabad where the Aurelians were being held) +{{record_delimiter}} +("entity"{{tuple_delimiter}}KROHAARA{{tuple_delimiter}}GEO{{tuple_delimiter}}Capital city in Quintara) +{{record_delimiter}} +("entity"{{tuple_delimiter}}CASHION{{tuple_delimiter}}GEO{{tuple_delimiter}}Capital city in Aurelia) +{{record_delimiter}} +("entity"{{tuple_delimiter}}SAMUEL NAMARA{{tuple_delimiter}}PERSON{{tuple_delimiter}}Aurelian who spent time in Tiruzia's Alhamia Prison) +{{record_delimiter}} +("entity"{{tuple_delimiter}}ALHAMIA PRISON{{tuple_delimiter}}GEO{{tuple_delimiter}}Prison in Tiruzia) +{{record_delimiter}} +("entity"{{tuple_delimiter}}DURKE BATAGLANI{{tuple_delimiter}}PERSON{{tuple_delimiter}}Aurelian journalist who was held hostage) +{{record_delimiter}} +("entity"{{tuple_delimiter}}MEGGIE TAZBAH{{tuple_delimiter}}PERSON{{tuple_delimiter}}Bratinas national and environmentalist who was held hostage) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}FIRUZABAD{{tuple_delimiter}}AURELIA{{tuple_delimiter}}Firuzabad negotiated a hostage exchange with Aurelia{{tuple_delimiter}}2) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}QUINTARA{{tuple_delimiter}}AURELIA{{tuple_delimiter}}Quintara brokered the hostage exchange between Firuzabad and Aurelia{{tuple_delimiter}}2) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}QUINTARA{{tuple_delimiter}}FIRUZABAD{{tuple_delimiter}}Quintara brokered the hostage exchange between Firuzabad and Aurelia{{tuple_delimiter}}2) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}SAMUEL NAMARA{{tuple_delimiter}}ALHAMIA PRISON{{tuple_delimiter}}Samuel Namara was a prisoner at Alhamia prison{{tuple_delimiter}}8) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}SAMUEL NAMARA{{tuple_delimiter}}MEGGIE TAZBAH{{tuple_delimiter}}Samuel Namara and Meggie Tazbah were exchanged in the same hostage release{{tuple_delimiter}}2) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}SAMUEL NAMARA{{tuple_delimiter}}DURKE BATAGLANI{{tuple_delimiter}}Samuel Namara and Durke Bataglani were exchanged in the same hostage release{{tuple_delimiter}}2) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}MEGGIE TAZBAH{{tuple_delimiter}}DURKE BATAGLANI{{tuple_delimiter}}Meggie Tazbah and Durke Bataglani were exchanged in the same hostage release{{tuple_delimiter}}2) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}SAMUEL NAMARA{{tuple_delimiter}}FIRUZABAD{{tuple_delimiter}}Samuel Namara was a hostage in Firuzabad{{tuple_delimiter}}2) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}MEGGIE TAZBAH{{tuple_delimiter}}FIRUZABAD{{tuple_delimiter}}Meggie Tazbah was a hostage in Firuzabad{{tuple_delimiter}}2) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}DURKE BATAGLANI{{tuple_delimiter}}FIRUZABAD{{tuple_delimiter}}Durke Bataglani was a hostage in Firuzabad{{tuple_delimiter}}2) +{{completion_delimiter}} -Real Data- ###################### @@ -61,7 +152,77 @@ {{"source": , "target": , "relationship": , "relationship_strength": }} -3. Return output in {language} as a single list of all JSON entities and relationships identified in steps 1 and 2. If you have to translate, just translate the descriptions, nothing else! +3. Return output in {language} as a single list of all JSON entities and relationships identified in steps 1 and 2. + +4. If you have to translate into {language}, just translate the descriptions, nothing else! + +###################### +-Examples- +###################### +Example 1: +Text: +The Verdantis's Central Institution is scheduled to meet on Monday and Thursday, with the institution planning to release its latest policy decision on Thursday at 1:30 p.m. PDT, followed by a press conference where Central Institution Chair Martin Smith will take questions. Investors expect the Market Strategy Committee to hold its benchmark interest rate steady in a range of 3.5%-3.75%. +###################### +Output: +[ + {{"name": "CENTRAL INSTITUTION", "type": "ORGANIZATION", "description": "The Central Institution is the Federal Reserve of Verdantis, which is setting interest rates on Monday and Thursday"}}, + {{"name": "MARTIN SMITH", "type": "PERSON", "description": "Martin Smith is the chair of the Central Institution"}}, + {{"name": "MARKET STRATEGY COMMITTEE", "type": "ORGANIZATION", "description": "The Central Institution committee makes key decisions about interest rates and the growth of Verdantis's money supply"}}, + {{"source": "MARTIN SMITH", "target": "CENTRAL INSTITUTION", "relationship": "Martin Smith is the Chair of the Central Institution and will answer questions at a press conference", "relationship_strength": 9}} +] + +###################### +Example 2: +Text: +TechGlobal's (TG) stock skyrocketed in its opening day on the Global Exchange Thursday. But IPO experts warn that the semiconductor corporation's debut on the public markets isn't indicative of how other newly listed companies may perform. + +TechGlobal, a formerly public company, was taken private by Vision Holdings in 2014. The well-established chip designer says it powers 85% of premium smartphones. +###################### +Output: +[ + {{"name": "TECHGLOBAL", "type": "ORGANIZATION", "description": "TechGlobal is a stock now listed on the Global Exchange which powers 85% of premium smartphones"}}, + {{"name": "VISION HOLDINGS", "type": "ORGANIZATION", "description": "Vision Holdings is a firm that previously owned TechGlobal"}}, + {{"source": "TECHGLOBAL", "target": "VISION HOLDINGS", "relationship": "Vision Holdings formerly owned TechGlobal from 2014 until present", "relationship_strength": 5}} +] + +###################### +Example 3: +Text: +Five Aurelians jailed for 8 years in Firuzabad and widely regarded as hostages are on their way home to Aurelia. + +The swap orchestrated by Quintara was finalized when $8bn of Firuzi funds were transferred to financial institutions in Krohaara, the capital of Quintara. + +The exchange initiated in Firuzabad's capital, Tiruzia, led to the four men and one woman, who are also Firuzi nationals, boarding a chartered flight to Krohaara. + +They were welcomed by senior Aurelian officials and are now on their way to Aurelia's capital, Cashion. + +The Aurelians include 39-year-old businessman Samuel Namara, who has been held in Tiruzia's Alhamia Prison, as well as journalist Durke Bataglani, 59, and environmentalist Meggie Tazbah, 53, who also holds Bratinas nationality. +###################### +Output: +[ + {{"name": "FIRUZABAD", "type": "GEO", "description": "Firuzabad held Aurelians as hostages"}}, + {{"name": "AURELIA", "type": "GEO", "description": "Country seeking to release hostages"}}, + {{"name": "QUINTARA", "type": "GEO", "description": "Country that negotiated a swap of money in exchange for hostages"}}, + {{"name": "TIRUZIA", "type": "GEO", "description": "Capital of Firuzabad where the Aurelians were being held"}}, + {{"name": "KROHAARA", "type": "GEO", "description": "Capital city in Quintara"}}, + {{"name": "CASHION", "type": "GEO", "description": "Capital city in Aurelia"}}, + {{"name": "SAMUEL NAMARA", "type": "PERSON", "description": "Aurelian who spent time in Tiruzia's Alhamia Prison"}}, + {{"name": "ALHAMIA PRISON", "type": "GEO", "description": "Prison in Tiruzia"}}, + {{"name": "DURKE BATAGLANI", "type": "PERSON", "description": "Aurelian journalist who was held hostage"}}, + {{"name": "MEGGIE TAZBAH", "type": "PERSON", "description": "Bratinas national and environmentalist who was held hostage"}}, + {{"source": "FIRUZABAD", "target": "AURELIA", "relationship": "Firuzabad negotiated a hostage exchange with Aurelia", "relationship_strength": 2}}, + {{"source": "QUINTARA", "target": "AURELIA", "relationship": "Quintara brokered the hostage exchange between Firuzabad and Aurelia", "relationship_strength": 2}}, + {{"source": "QUINTARA", "target": "FIRUZABAD", "relationship": "Quintara brokered the hostage exchange between Firuzabad and Aurelia", "relationship_strength": 2}}, + {{"source": "SAMUEL NAMARA", "target": "ALHAMIA PRISON", "relationship": "Samuel Namara was a prisoner at Alhamia prison", "relationship_strength": 8}}, + {{"source": "SAMUEL NAMARA", "target": "MEGGIE TAZBAH", "relationship": "Samuel Namara and Meggie Tazbah were exchanged in the same hostage release", "relationship_strength": 2}}, + {{"source": "SAMUEL NAMARA", "target": "DURKE BATAGLANI", "relationship": "Samuel Namara and Durke Bataglani were exchanged in the same hostage release", "relationship_strength": 2}}, + {{"source": "MEGGIE TAZBAH", "target": "DURKE BATAGLANI", "relationship": "Meggie Tazbah and Durke Bataglani were exchanged in the same hostage release", "relationship_strength": 2}}, + {{"source": "SAMUEL NAMARA", "target": "FIRUZABAD", "relationship": "Samuel Namara was a hostage in Firuzabad", "relationship_strength": 2}}, + {{"source": "MEGGIE TAZBAH", "target": "FIRUZABAD", "relationship": "Meggie Tazbah was a hostage in Firuzabad", "relationship_strength": 2}}, + {{"source": "DURKE BATAGLANI", "target": "FIRUZABAD", "relationship": "Durke Bataglani was a hostage in Firuzabad", "relationship_strength": 2}} +] + + -Real Data- ###################### @@ -81,7 +242,7 @@ - entity_name: Name of the entity, capitalized - entity_type: Suggest several labels or categories for the entity. The categories should not be specific, but should be as general as possible. - entity_description: Comprehensive description of the entity's attributes and activities -Format each entity as ("entity"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}} +Format each entity as ("entity"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) 2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. For each pair of related entities, extract the following information: @@ -89,40 +250,102 @@ - target_entity: name of the target entity, as identified in step 1 - relationship_description: explanation as to why you think the source entity and the target entity are related to each other - relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity - Format each relationship as ("relationship"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) +Format each relationship as ("relationship"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) -3. Return output in {language} as a single list of all the entities and relationships identified in steps 1 and 2. Use **{{record_delimiter}}** as the list delimiter. If you have to translate, just translate the descriptions, nothing else! +3. Return output in {language} as a single list of all the entities and relationships identified in steps 1 and 2. Use **{{record_delimiter}}** as the list delimiter. -4. When finished, output {{completion_delimiter}} +4. If you have to translate into {language}, just translate the descriptions, nothing else! + +5. When finished, output {{completion_delimiter}}. ###################### -Examples- ###################### +Example 1: Text: -The Fed is scheduled to meet on Tuesday and Wednesday, with the central bank planning to release its latest policy decision on Wednesday at 2:00 p.m. ET, followed by a press conference where Fed Chair Jerome Powell will take questions. Investors expect the Federal Open Market Committee to hold its benchmark interest rate steady in a range of 5.25%-5.5%. +The Verdantis's Central Institution is scheduled to meet on Monday and Thursday, with the institution planning to release its latest policy decision on Thursday at 1:30 p.m. PDT, followed by a press conference where Central Institution Chair Martin Smith will take questions. Investors expect the Market Strategy Committee to hold its benchmark interest rate steady in a range of 3.5%-3.75%. ###################### Output: -("entity"{{tuple_delimiter}}FED{{tuple_delimiter}}ORGANIZATION{{tuple_delimiter}}The Fed is the Federal Reserve, which is setting interest rates on Tuesday and Wednesday) +("entity"{{tuple_delimiter}}CENTRAL INSTITUTION{{tuple_delimiter}}ORGANIZATION{{tuple_delimiter}}The Central Institution is the Federal Reserve of Verdantis, which is setting interest rates on Monday and Thursday) +{{record_delimiter}} +("entity"{{tuple_delimiter}}MARTIN SMITH{{tuple_delimiter}}PERSON{{tuple_delimiter}}Martin Smith is the chair of the Central Institution) +{{record_delimiter}} +("entity"{{tuple_delimiter}}MARKET STRATEGY COMMITTEE{{tuple_delimiter}}ORGANIZATION{{tuple_delimiter}}The Central Institution committee makes key decisions about interest rates and the growth of Verdantis's money supply) {{record_delimiter}} -("entity"{{tuple_delimiter}}JEROME POWELL{{tuple_delimiter}}PERSON{{tuple_delimiter}}Jerome Powell is the chair of the Federal Reserve) +("relationship"{{tuple_delimiter}}MARTIN SMITH{{tuple_delimiter}}CENTRAL INSTITUTION{{tuple_delimiter}}Martin Smith is the Chair of the Central Institution and will answer questions at a press conference{{tuple_delimiter}}9) +{{completion_delimiter}} + +###################### +Example 2: +Text: +TechGlobal's (TG) stock skyrocketed in its opening day on the Global Exchange Thursday. But IPO experts warn that the semiconductor corporation's debut on the public markets isn't indicative of how other newly listed companies may perform. + +TechGlobal, a formerly public company, was taken private by Vision Holdings in 2014. The well-established chip designer says it powers 85% of premium smartphones. +###################### +Output: +("entity"{{tuple_delimiter}}TECHGLOBAL{{tuple_delimiter}}ORGANIZATION{{tuple_delimiter}}TechGlobal is a stock now listed on the Global Exchange which powers 85% of premium smartphones) {{record_delimiter}} -("entity"{{tuple_delimiter}}FEDERAL OPEN MARKET COMMITTEE{{tuple_delimiter}}ORGANIZATION{{tuple_delimiter}}The Federal Reserve committee makes key decisions about interest rates and the growth of the United States money supply) +("entity"{{tuple_delimiter}}VISION HOLDINGS{{tuple_delimiter}}ORGANIZATION{{tuple_delimiter}}Vision Holdings is a firm that previously owned TechGlobal) {{record_delimiter}} -("relationship"{{tuple_delimiter}}JEROME POWELL{{tuple_delimiter}}FED{{tuple_delimiter}}Jerome Powell is the Chair of the Federal Reserve and will answer questions at a press conference{{tuple_delimiter}}9) +("relationship"{{tuple_delimiter}}TECHGLOBAL{{tuple_delimiter}}VISION HOLDINGS{{tuple_delimiter}}Vision Holdings formerly owned TechGlobal from 2014 until present{{tuple_delimiter}}5) {{completion_delimiter}} + ###################### +Example 3: Text: -Arm's (ARM) stock skyrocketed in its opening day on the Nasdaq Thursday. But IPO experts warn that the British chipmaker's debut on the public markets isn't indicative of how other newly listed companies may perform. +Five Aurelians jailed for 8 years in Firuzabad and widely regarded as hostages are on their way home to Aurelia. + +The swap orchestrated by Quintara was finalized when $8bn of Firuzi funds were transferred to financial institutions in Krohaara, the capital of Quintara. + +The exchange initiated in Firuzabad's capital, Tiruzia, led to the four men and one woman, who are also Firuzi nationals, boarding a chartered flight to Krohaara. -Arm, a formerly public company, was taken private by SoftBank in 2016. The well-established chip designer says it powers 99% of premium smartphones. +They were welcomed by senior Aurelian officials and are now on their way to Aurelia's capital, Cashion. + +The Aurelians include 39-year-old businessman Samuel Namara, who has been held in Tiruzia's Alhamia Prison, as well as journalist Durke Bataglani, 59, and environmentalist Meggie Tazbah, 53, who also holds Bratinas nationality. ###################### Output: -("entity"{{tuple_delimiter}}ARM{{tuple_delimiter}}ORGANIZATION, COMPANY{{tuple_delimiter}}Arm is a stock now listed on the Nasdaq which powers 99% of premium smartphones) +("entity"{{tuple_delimiter}}FIRUZABAD{{tuple_delimiter}}GEO{{tuple_delimiter}}Firuzabad held Aurelians as hostages) +{{record_delimiter}} +("entity"{{tuple_delimiter}}AURELIA{{tuple_delimiter}}GEO{{tuple_delimiter}}Country seeking to release hostages) +{{record_delimiter}} +("entity"{{tuple_delimiter}}QUINTARA{{tuple_delimiter}}GEO{{tuple_delimiter}}Country that negotiated a swap of money in exchange for hostages) +{{record_delimiter}} +{{record_delimiter}} +("entity"{{tuple_delimiter}}TIRUZIA{{tuple_delimiter}}GEO{{tuple_delimiter}}Capital of Firuzabad where the Aurelians were being held) +{{record_delimiter}} +("entity"{{tuple_delimiter}}KROHAARA{{tuple_delimiter}}GEO{{tuple_delimiter}}Capital city in Quintara) +{{record_delimiter}} +("entity"{{tuple_delimiter}}CASHION{{tuple_delimiter}}GEO{{tuple_delimiter}}Capital city in Aurelia) {{record_delimiter}} -("entity"{{tuple_delimiter}}SOFTBANK{{tuple_delimiter}}ORGANIZATION, COMPANY{{tuple_delimiter}}SoftBank is a firm that previously owned Arm) +("entity"{{tuple_delimiter}}SAMUEL NAMARA{{tuple_delimiter}}PERSON{{tuple_delimiter}}Aurelian who spent time in Tiruzia's Alhamia Prison) {{record_delimiter}} -("relationship"{{tuple_delimiter}}ARM{{tuple_delimiter}}SOFTBANK{{tuple_delimiter}}SoftBank formerly owned Arm from 2016 until present{{tuple_delimiter}}5) +("entity"{{tuple_delimiter}}ALHAMIA PRISON{{tuple_delimiter}}GEO{{tuple_delimiter}}Prison in Tiruzia) +{{record_delimiter}} +("entity"{{tuple_delimiter}}DURKE BATAGLANI{{tuple_delimiter}}PERSON{{tuple_delimiter}}Aurelian journalist who was held hostage) +{{record_delimiter}} +("entity"{{tuple_delimiter}}MEGGIE TAZBAH{{tuple_delimiter}}PERSON{{tuple_delimiter}}Bratinas national and environmentalist who was held hostage) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}FIRUZABAD{{tuple_delimiter}}AURELIA{{tuple_delimiter}}Firuzabad negotiated a hostage exchange with Aurelia{{tuple_delimiter}}2) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}QUINTARA{{tuple_delimiter}}AURELIA{{tuple_delimiter}}Quintara brokered the hostage exchange between Firuzabad and Aurelia{{tuple_delimiter}}2) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}QUINTARA{{tuple_delimiter}}FIRUZABAD{{tuple_delimiter}}Quintara brokered the hostage exchange between Firuzabad and Aurelia{{tuple_delimiter}}2) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}SAMUEL NAMARA{{tuple_delimiter}}ALHAMIA PRISON{{tuple_delimiter}}Samuel Namara was a prisoner at Alhamia prison{{tuple_delimiter}}8) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}SAMUEL NAMARA{{tuple_delimiter}}MEGGIE TAZBAH{{tuple_delimiter}}Samuel Namara and Meggie Tazbah were exchanged in the same hostage release{{tuple_delimiter}}2) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}SAMUEL NAMARA{{tuple_delimiter}}DURKE BATAGLANI{{tuple_delimiter}}Samuel Namara and Durke Bataglani were exchanged in the same hostage release{{tuple_delimiter}}2) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}MEGGIE TAZBAH{{tuple_delimiter}}DURKE BATAGLANI{{tuple_delimiter}}Meggie Tazbah and Durke Bataglani were exchanged in the same hostage release{{tuple_delimiter}}2) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}SAMUEL NAMARA{{tuple_delimiter}}FIRUZABAD{{tuple_delimiter}}Samuel Namara was a hostage in Firuzabad{{tuple_delimiter}}2) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}MEGGIE TAZBAH{{tuple_delimiter}}FIRUZABAD{{tuple_delimiter}}Meggie Tazbah was a hostage in Firuzabad{{tuple_delimiter}}2) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}DURKE BATAGLANI{{tuple_delimiter}}FIRUZABAD{{tuple_delimiter}}Durke Bataglani was a hostage in Firuzabad{{tuple_delimiter}}2) {{completion_delimiter}} + ###################### -Real Data- ###################### diff --git a/graphrag/prompt_tune/template/__init__.py b/graphrag/prompt_tune/template/__init__.py index e056762ff7..f830ce2a9e 100644 --- a/graphrag/prompt_tune/template/__init__.py +++ b/graphrag/prompt_tune/template/__init__.py @@ -2,23 +2,3 @@ # Licensed under the MIT License """Fine-tuning prompts for entity extraction, entity summarization, and community report summarization.""" - -from .community_report_summarization import COMMUNITY_REPORT_SUMMARIZATION_PROMPT -from .entity_extraction import ( - EXAMPLE_EXTRACTION_TEMPLATE, - GRAPH_EXTRACTION_JSON_PROMPT, - GRAPH_EXTRACTION_PROMPT, - UNTYPED_EXAMPLE_EXTRACTION_TEMPLATE, - UNTYPED_GRAPH_EXTRACTION_PROMPT, -) -from .entity_summarization import ENTITY_SUMMARIZATION_PROMPT - -__all__ = [ - "COMMUNITY_REPORT_SUMMARIZATION_PROMPT", - "ENTITY_SUMMARIZATION_PROMPT", - "EXAMPLE_EXTRACTION_TEMPLATE", - "GRAPH_EXTRACTION_JSON_PROMPT", - "GRAPH_EXTRACTION_PROMPT", - "UNTYPED_EXAMPLE_EXTRACTION_TEMPLATE", - "UNTYPED_GRAPH_EXTRACTION_PROMPT", -] diff --git a/graphrag/prompt_tune/template/entity_extraction.py b/graphrag/prompt_tune/template/entity_extraction.py index 65c0cfb584..32d8756ec2 100644 --- a/graphrag/prompt_tune/template/entity_extraction.py +++ b/graphrag/prompt_tune/template/entity_extraction.py @@ -12,7 +12,7 @@ - entity_name: Name of the entity, capitalized - entity_type: One of the following types: [{entity_types}] - entity_description: Comprehensive description of the entity's attributes and activities -Format each entity as ("entity"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}} +Format each entity as ("entity"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) 2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. For each pair of related entities, extract the following information: @@ -20,12 +20,13 @@ - target_entity: name of the target entity, as identified in step 1 - relationship_description: explanation as to why you think the source entity and the target entity are related to each other - relationship_strength: an integer score between 1 to 10, indicating strength of the relationship between the source entity and target entity - Format each relationship as ("relationship"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) -3. Return output in {language} as a single list of all the entities and relationships identified in steps 1 and 2. Use **{{record_delimiter}}** as the list delimiter. If you have to translate, just translate the descriptions, nothing else! +3. Return output in {language} as a single list of all the entities and relationships identified in steps 1 and 2. Use **{{record_delimiter}}** as the list delimiter. + +4. If you have to translate into {language}, just translate the descriptions, nothing else! -4. When finished, output {{completion_delimiter}} +5. When finished, output {{completion_delimiter}}. -Examples- ###################### @@ -61,7 +62,9 @@ {{"source": , "target": , "relationship": , "relationship_strength": }} -3. Return output in {language} as a single list of all JSON entities and relationships identified in steps 1 and 2. If you have to translate, just translate the descriptions, nothing else! +3. Return output in {language} as a single list of all JSON entities and relationships identified in steps 1 and 2. + +4. If you have to translate into {language}, just translate the descriptions, nothing else! -Examples- ###################### @@ -110,7 +113,7 @@ - entity_name: Name of the entity, capitalized - entity_type: Suggest several labels or categories for the entity. The categories should not be specific, but should be as general as possible. - entity_description: Comprehensive description of the entity's attributes and activities -Format each entity as ("entity"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}} +Format each entity as ("entity"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) 2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. For each pair of related entities, extract the following information: @@ -118,11 +121,13 @@ - target_entity: name of the target entity, as identified in step 1 - relationship_description: explanation as to why you think the source entity and the target entity are related to each other - relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity - Format each relationship as ("relationship"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) +Format each relationship as ("relationship"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) + +3. Return output in {language} as a single list of all the entities and relationships identified in steps 1 and 2. Use **{{record_delimiter}}** as the list delimiter. -3. Return output in {language} as a single list of all the entities and relationships identified in steps 1 and 2. Use **{{record_delimiter}}** as the list delimiter. If you have to translate, just translate the descriptions, nothing else! +4. If you have to translate into {language}, just translate the descriptions, nothing else! -4. When finished, output {{completion_delimiter}} +5. When finished, output {{completion_delimiter}}. -Examples- ###################### diff --git a/graphrag/prompt_tune/template/entity_summarization.py b/graphrag/prompt_tune/template/entity_summarization.py index 60294a291b..7710ba0bdb 100644 --- a/graphrag/prompt_tune/template/entity_summarization.py +++ b/graphrag/prompt_tune/template/entity_summarization.py @@ -9,7 +9,7 @@ Given one or two entities, and a list of descriptions, all related to the same entity or group of entities. Please concatenate all of these into a single, concise description in {language}. Make sure to include information collected from all the descriptions. If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary. -Make sure it is written in third person, and include the entity names so we the have full context. +Make sure it is written in third person, and include the entity names so we have the full context. Enrich it as much as you can with relevant information from the nearby text, this is very important. diff --git a/graphrag/prompt_tune/types.py b/graphrag/prompt_tune/types.py new file mode 100644 index 0000000000..f3df632452 --- /dev/null +++ b/graphrag/prompt_tune/types.py @@ -0,0 +1,19 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Types for prompt tuning.""" + +from enum import Enum + + +class DocSelectionType(str, Enum): + """The type of document selection to use.""" + + ALL = "all" + RANDOM = "random" + TOP = "top" + AUTO = "auto" + + def __str__(self): + """Return the string representation of the enum value.""" + return self.value diff --git a/graphrag/index/verbs/graph/clustering/strategies/__init__.py b/graphrag/prompts/__init__.py similarity index 69% rename from graphrag/index/verbs/graph/clustering/strategies/__init__.py rename to graphrag/prompts/__init__.py index 16a03f12d6..6a6123b805 100644 --- a/graphrag/index/verbs/graph/clustering/strategies/__init__.py +++ b/graphrag/prompts/__init__.py @@ -1,4 +1,4 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""Graph Clustering Strategies.""" +"""All prompts for the system.""" diff --git a/graphrag/prompts/index/__init__.py b/graphrag/prompts/index/__init__.py new file mode 100644 index 0000000000..6377063bb6 --- /dev/null +++ b/graphrag/prompts/index/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All prompts for indexing.""" diff --git a/graphrag/index/graph/extractors/claims/prompts.py b/graphrag/prompts/index/claim_extraction.py similarity index 100% rename from graphrag/index/graph/extractors/claims/prompts.py rename to graphrag/prompts/index/claim_extraction.py diff --git a/graphrag/index/graph/extractors/community_reports/prompts.py b/graphrag/prompts/index/community_report.py similarity index 100% rename from graphrag/index/graph/extractors/community_reports/prompts.py rename to graphrag/prompts/index/community_report.py diff --git a/graphrag/prompts/index/entity_extraction.py b/graphrag/prompts/index/entity_extraction.py new file mode 100644 index 0000000000..cb1bcc668a --- /dev/null +++ b/graphrag/prompts/index/entity_extraction.py @@ -0,0 +1,129 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A file containing prompts definition.""" + +GRAPH_EXTRACTION_PROMPT = """ +-Goal- +Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities. + +-Steps- +1. Identify all entities. For each identified entity, extract the following information: +- entity_name: Name of the entity, capitalized +- entity_type: One of the following types: [{entity_types}] +- entity_description: Comprehensive description of the entity's attributes and activities +Format each entity as ("entity"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}) + +2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. +For each pair of related entities, extract the following information: +- source_entity: name of the source entity, as identified in step 1 +- target_entity: name of the target entity, as identified in step 1 +- relationship_description: explanation as to why you think the source entity and the target entity are related to each other +- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity + Format each relationship as ("relationship"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}) + +3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter. + +4. When finished, output {completion_delimiter} + +###################### +-Examples- +###################### +Example 1: +Entity_types: ORGANIZATION,PERSON +Text: +The Verdantis's Central Institution is scheduled to meet on Monday and Thursday, with the institution planning to release its latest policy decision on Thursday at 1:30 p.m. PDT, followed by a press conference where Central Institution Chair Martin Smith will take questions. Investors expect the Market Strategy Committee to hold its benchmark interest rate steady in a range of 3.5%-3.75%. +###################### +Output: +("entity"{tuple_delimiter}CENTRAL INSTITUTION{tuple_delimiter}ORGANIZATION{tuple_delimiter}The Central Institution is the Federal Reserve of Verdantis, which is setting interest rates on Monday and Thursday) +{record_delimiter} +("entity"{tuple_delimiter}MARTIN SMITH{tuple_delimiter}PERSON{tuple_delimiter}Martin Smith is the chair of the Central Institution) +{record_delimiter} +("entity"{tuple_delimiter}MARKET STRATEGY COMMITTEE{tuple_delimiter}ORGANIZATION{tuple_delimiter}The Central Institution committee makes key decisions about interest rates and the growth of Verdantis's money supply) +{record_delimiter} +("relationship"{tuple_delimiter}MARTIN SMITH{tuple_delimiter}CENTRAL INSTITUTION{tuple_delimiter}Martin Smith is the Chair of the Central Institution and will answer questions at a press conference{tuple_delimiter}9) +{completion_delimiter} + +###################### +Example 2: +Entity_types: ORGANIZATION +Text: +TechGlobal's (TG) stock skyrocketed in its opening day on the Global Exchange Thursday. But IPO experts warn that the semiconductor corporation's debut on the public markets isn't indicative of how other newly listed companies may perform. + +TechGlobal, a formerly public company, was taken private by Vision Holdings in 2014. The well-established chip designer says it powers 85% of premium smartphones. +###################### +Output: +("entity"{tuple_delimiter}TECHGLOBAL{tuple_delimiter}ORGANIZATION{tuple_delimiter}TechGlobal is a stock now listed on the Global Exchange which powers 85% of premium smartphones) +{record_delimiter} +("entity"{tuple_delimiter}VISION HOLDINGS{tuple_delimiter}ORGANIZATION{tuple_delimiter}Vision Holdings is a firm that previously owned TechGlobal) +{record_delimiter} +("relationship"{tuple_delimiter}TECHGLOBAL{tuple_delimiter}VISION HOLDINGS{tuple_delimiter}Vision Holdings formerly owned TechGlobal from 2014 until present{tuple_delimiter}5) +{completion_delimiter} + +###################### +Example 3: +Entity_types: ORGANIZATION,GEO,PERSON +Text: +Five Aurelians jailed for 8 years in Firuzabad and widely regarded as hostages are on their way home to Aurelia. + +The swap orchestrated by Quintara was finalized when $8bn of Firuzi funds were transferred to financial institutions in Krohaara, the capital of Quintara. + +The exchange initiated in Firuzabad's capital, Tiruzia, led to the four men and one woman, who are also Firuzi nationals, boarding a chartered flight to Krohaara. + +They were welcomed by senior Aurelian officials and are now on their way to Aurelia's capital, Cashion. + +The Aurelians include 39-year-old businessman Samuel Namara, who has been held in Tiruzia's Alhamia Prison, as well as journalist Durke Bataglani, 59, and environmentalist Meggie Tazbah, 53, who also holds Bratinas nationality. +###################### +Output: +("entity"{tuple_delimiter}FIRUZABAD{tuple_delimiter}GEO{tuple_delimiter}Firuzabad held Aurelians as hostages) +{record_delimiter} +("entity"{tuple_delimiter}AURELIA{tuple_delimiter}GEO{tuple_delimiter}Country seeking to release hostages) +{record_delimiter} +("entity"{tuple_delimiter}QUINTARA{tuple_delimiter}GEO{tuple_delimiter}Country that negotiated a swap of money in exchange for hostages) +{record_delimiter} +{record_delimiter} +("entity"{tuple_delimiter}TIRUZIA{tuple_delimiter}GEO{tuple_delimiter}Capital of Firuzabad where the Aurelians were being held) +{record_delimiter} +("entity"{tuple_delimiter}KROHAARA{tuple_delimiter}GEO{tuple_delimiter}Capital city in Quintara) +{record_delimiter} +("entity"{tuple_delimiter}CASHION{tuple_delimiter}GEO{tuple_delimiter}Capital city in Aurelia) +{record_delimiter} +("entity"{tuple_delimiter}SAMUEL NAMARA{tuple_delimiter}PERSON{tuple_delimiter}Aurelian who spent time in Tiruzia's Alhamia Prison) +{record_delimiter} +("entity"{tuple_delimiter}ALHAMIA PRISON{tuple_delimiter}GEO{tuple_delimiter}Prison in Tiruzia) +{record_delimiter} +("entity"{tuple_delimiter}DURKE BATAGLANI{tuple_delimiter}PERSON{tuple_delimiter}Aurelian journalist who was held hostage) +{record_delimiter} +("entity"{tuple_delimiter}MEGGIE TAZBAH{tuple_delimiter}PERSON{tuple_delimiter}Bratinas national and environmentalist who was held hostage) +{record_delimiter} +("relationship"{tuple_delimiter}FIRUZABAD{tuple_delimiter}AURELIA{tuple_delimiter}Firuzabad negotiated a hostage exchange with Aurelia{tuple_delimiter}2) +{record_delimiter} +("relationship"{tuple_delimiter}QUINTARA{tuple_delimiter}AURELIA{tuple_delimiter}Quintara brokered the hostage exchange between Firuzabad and Aurelia{tuple_delimiter}2) +{record_delimiter} +("relationship"{tuple_delimiter}QUINTARA{tuple_delimiter}FIRUZABAD{tuple_delimiter}Quintara brokered the hostage exchange between Firuzabad and Aurelia{tuple_delimiter}2) +{record_delimiter} +("relationship"{tuple_delimiter}SAMUEL NAMARA{tuple_delimiter}ALHAMIA PRISON{tuple_delimiter}Samuel Namara was a prisoner at Alhamia prison{tuple_delimiter}8) +{record_delimiter} +("relationship"{tuple_delimiter}SAMUEL NAMARA{tuple_delimiter}MEGGIE TAZBAH{tuple_delimiter}Samuel Namara and Meggie Tazbah were exchanged in the same hostage release{tuple_delimiter}2) +{record_delimiter} +("relationship"{tuple_delimiter}SAMUEL NAMARA{tuple_delimiter}DURKE BATAGLANI{tuple_delimiter}Samuel Namara and Durke Bataglani were exchanged in the same hostage release{tuple_delimiter}2) +{record_delimiter} +("relationship"{tuple_delimiter}MEGGIE TAZBAH{tuple_delimiter}DURKE BATAGLANI{tuple_delimiter}Meggie Tazbah and Durke Bataglani were exchanged in the same hostage release{tuple_delimiter}2) +{record_delimiter} +("relationship"{tuple_delimiter}SAMUEL NAMARA{tuple_delimiter}FIRUZABAD{tuple_delimiter}Samuel Namara was a hostage in Firuzabad{tuple_delimiter}2) +{record_delimiter} +("relationship"{tuple_delimiter}MEGGIE TAZBAH{tuple_delimiter}FIRUZABAD{tuple_delimiter}Meggie Tazbah was a hostage in Firuzabad{tuple_delimiter}2) +{record_delimiter} +("relationship"{tuple_delimiter}DURKE BATAGLANI{tuple_delimiter}FIRUZABAD{tuple_delimiter}Durke Bataglani was a hostage in Firuzabad{tuple_delimiter}2) +{completion_delimiter} + +###################### +-Real Data- +###################### +Entity_types: {entity_types} +Text: {input_text} +###################### +Output:""" + +CONTINUE_PROMPT = "MANY entities and relationships were missed in the last extraction. Remember to ONLY emit entities that match any of the previously extracted types. Add them below using the same format:\n" +LOOP_PROMPT = "It appears some entities and relationships may have still been missed. Answer YES | NO if there are still entities or relationships that need to be added.\n" diff --git a/graphrag/index/graph/extractors/summarize/prompts.py b/graphrag/prompts/index/summarize_descriptions.py similarity index 95% rename from graphrag/index/graph/extractors/summarize/prompts.py rename to graphrag/prompts/index/summarize_descriptions.py index 90e4434ee8..8e544999ad 100644 --- a/graphrag/index/graph/extractors/summarize/prompts.py +++ b/graphrag/prompts/index/summarize_descriptions.py @@ -8,7 +8,7 @@ Given one or two entities, and a list of descriptions, all related to the same entity or group of entities. Please concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions. If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary. -Make sure it is written in third person, and include the entity names so we the have full context. +Make sure it is written in third person, and include the entity names so we have the full context. ####### -Data- diff --git a/graphrag/prompts/query/__init__.py b/graphrag/prompts/query/__init__.py new file mode 100644 index 0000000000..79ebce00d8 --- /dev/null +++ b/graphrag/prompts/query/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""All prompts for query.""" diff --git a/graphrag/prompts/query/drift_search_system_prompt.py b/graphrag/prompts/query/drift_search_system_prompt.py new file mode 100644 index 0000000000..9d0097ec78 --- /dev/null +++ b/graphrag/prompts/query/drift_search_system_prompt.py @@ -0,0 +1,169 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""DRIFT Search prompts.""" + +DRIFT_LOCAL_SYSTEM_PROMPT = """ +---Role--- + +You are a helpful assistant responding to questions about data in the tables provided. + + +---Goal--- + +Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. + +If you don't know the answer, just say so. Do not make anything up. + +Points supported by data should list their data references as follows: + +"This is an example sentence supported by multiple data references [Data: (record ids); (record ids)]." + +Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more. + +For example: + +"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Sources (15, 16)]." + +where 15, 16, 1, 5, 7, 23, 2, 7, 34, 46, and 64 represent the id (not the index) of the relevant data record. + +Pay close attention specifically to the Sources tables as it contains the most relevant information for the user query. You will be rewarded for preserving the context of the sources in your response. + +---Target response length and format--- + +{response_type} + + +---Data tables--- + +{context_data} + + +---Goal--- + +Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. + +If you don't know the answer, just say so. Do not make anything up. + +Points supported by data should list their data references as follows: + +"This is an example sentence supported by multiple data references [Data: (record ids); (record ids)]." + +Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more. + +For example: + +"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Sources (15, 16)]." + +where 15, 16, 1, 5, 7, 23, 2, 7, 34, 46, and 64 represent the id (not the index) of the relevant data record. + +Pay close attention specifically to the Sources tables as it contains the most relevant information for the user query. You will be rewarded for preserving the context of the sources in your response. + +---Target response length and format--- + +{response_type} + +Add sections and commentary to the response as appropriate for the length and format. + +Additionally provide a score between 0 and 100 representing how well the response addresses the overall research question: {global_query}. Based on your response, suggest up to five follow-up questions that could be asked to further explore the topic as it relates to the overall research question. Do not include scores or follow up questions in the 'response' field of the JSON, add them to the respective 'score' and 'follow_up_queries' keys of the JSON output. Format your response in JSON with the following keys and values: + +{{'response': str, Put your answer, formatted in markdown, here. Do not answer the global query in this section. +'score': int, +'follow_up_queries': List[str]}} +""" + + +DRIFT_REDUCE_PROMPT = """ +---Role--- + +You are a helpful assistant responding to questions about data in the reports provided. + +---Goal--- + +Generate a response of the target length and format that responds to the user's question, summarizing all information in the input reports appropriate for the response length and format, and incorporating any relevant general knowledge while being as specific, accurate and concise as possible. + +If you don't know the answer, just say so. Do not make anything up. + +Points supported by data should list their data references as follows: + +"This is an example sentence supported by multiple data references [Data: (record ids); (record ids)]." + +Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more. + +For example: + +"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Sources (1, 5, 15)]." + +Do not include information where the supporting evidence for it is not provided. + +If you decide to use general knowledge, you should add a delimiter stating that the information is not supported by the data tables. For example: + +"Person X is the owner of Company Y and subject to many allegations of wrongdoing. [Data: General Knowledge (href)]" + +---Data Reports--- + +{context_data} + +---Target response length and format--- + +Multiple paragraphs + + +---Goal--- + +Generate a response of the target length and format that responds to the user's question, summarizing all information in the input reports appropriate for the response length and format, and incorporating any relevant general knowledge while being as specific, accurate and concise as possible. + +If you don't know the answer, just say so. Do not make anything up. + +Points supported by data should list their data references as follows: + +"This is an example sentence supported by multiple data references [Data: (record ids); (record ids)]." + +Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more. + +For example: + +"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Sources (1, 5, 15)]." + +Do not include information where the supporting evidence for it is not provided. + +If you decide to use general knowledge, you should add a delimiter stating that the information is not supported by the data tables. For example: + +"Person X is the owner of Company Y and subject to many allegations of wrongdoing. [Data: General Knowledge (href)]". + +Add sections and commentary to the response as appropriate for the length and format. Style the response in markdown. Now answer the following query using the data above: + +{query} + +""" + + +DRIFT_PRIMER_PROMPT = """You are a helpful agent designed to reason over a knowledge graph in response to a user query. +This is a unique knowledge graph where edges are freeform text rather than verb operators. You will begin your reasoning looking at a summary of the content of the most relevant communites and will provide: + +1. score: How well the intermediate answer addresses the query. A score of 0 indicates a poor, unfocused answer, while a score of 100 indicates a highly focused, relevant answer that addresses the query in its entirety. + +2. intermediate_answer: This answer should match the level of detail and length found in the community summaries. The intermediate answer should be exactly 2000 characters long. This must be formatted in markdown and must begin with a header that explains how the following text is related to the query. + +3. follow_up_queries: A list of follow-up queries that could be asked to further explore the topic. These should be formatted as a list of strings. Generate at least five good follow-up queries. + +Use this information to help you decide whether or not you need more information about the entities mentioned in the report. You may also use your general knowledge to think of entities which may help enrich your answer. + +You will also provide a full answer from the content you have available. Use the data provided to generate follow-up queries to help refine your search. Do not ask compound questions, for example: "What is the market cap of Apple and Microsoft?". Use your knowledge of the entity distribution to focus on entity types that will be useful for searching a broad area of the knowledge graph. + +For the query: + +{query} + +The top-ranked community summaries: + +{community_reports} + +Provide the intermediate answer, and all scores in JSON format following: + +{{'intermediate_answer': str, +'score': int, +'follow_up_queries': List[str]}} + +Begin: +""" diff --git a/graphrag/prompts/query/global_search_knowledge_system_prompt.py b/graphrag/prompts/query/global_search_knowledge_system_prompt.py new file mode 100644 index 0000000000..9125ef31f2 --- /dev/null +++ b/graphrag/prompts/query/global_search_knowledge_system_prompt.py @@ -0,0 +1,9 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Global Search system prompts.""" + +GENERAL_KNOWLEDGE_INSTRUCTION = """ +The response may also include relevant real-world knowledge outside the dataset, but it must be explicitly annotated with a verification tag [LLM: verify]. For example: +"This is an example sentence supported by real-world knowledge [LLM: verify]." +""" diff --git a/graphrag/query/structured_search/global_search/map_system_prompt.py b/graphrag/prompts/query/global_search_map_system_prompt.py similarity index 100% rename from graphrag/query/structured_search/global_search/map_system_prompt.py rename to graphrag/prompts/query/global_search_map_system_prompt.py diff --git a/graphrag/query/structured_search/global_search/reduce_system_prompt.py b/graphrag/prompts/query/global_search_reduce_system_prompt.py similarity index 93% rename from graphrag/query/structured_search/global_search/reduce_system_prompt.py rename to graphrag/prompts/query/global_search_reduce_system_prompt.py index 701717817c..c9dbb9188d 100644 --- a/graphrag/query/structured_search/global_search/reduce_system_prompt.py +++ b/graphrag/prompts/query/global_search_reduce_system_prompt.py @@ -81,8 +81,3 @@ NO_DATA_ANSWER = ( "I am sorry but I am unable to answer this question given the provided data." ) - -GENERAL_KNOWLEDGE_INSTRUCTION = """ -The response may also include relevant real-world knowledge outside the dataset, but it must be explicitly annotated with a verification tag [LLM: verify]. For example: -"This is an example sentence supported by real-world knowledge [LLM: verify]." -""" diff --git a/graphrag/query/structured_search/local_search/system_prompt.py b/graphrag/prompts/query/local_search_system_prompt.py similarity index 100% rename from graphrag/query/structured_search/local_search/system_prompt.py rename to graphrag/prompts/query/local_search_system_prompt.py diff --git a/graphrag/query/question_gen/system_prompt.py b/graphrag/prompts/query/question_gen_system_prompt.py similarity index 100% rename from graphrag/query/question_gen/system_prompt.py rename to graphrag/prompts/query/question_gen_system_prompt.py diff --git a/graphrag/query/__init__.py b/graphrag/query/__init__.py index 58a557f8a2..effd81e123 100644 --- a/graphrag/query/__init__.py +++ b/graphrag/query/__init__.py @@ -1,4 +1,4 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""GraphRAG Orchestration Module.""" +"""The query engine package root.""" diff --git a/graphrag/query/__main__.py b/graphrag/query/__main__.py deleted file mode 100644 index 9367f9a9cf..0000000000 --- a/graphrag/query/__main__.py +++ /dev/null @@ -1,92 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""The Query Engine package root.""" - -import argparse -from enum import Enum - -from .cli import run_global_search, run_local_search - -INVALID_METHOD_ERROR = "Invalid method" - - -class SearchType(Enum): - """The type of search to run.""" - - LOCAL = "local" - GLOBAL = "global" - - def __str__(self): - """Return the string representation of the enum value.""" - return self.value - - -if __name__ == "__main__": - parser = argparse.ArgumentParser() - - parser.add_argument( - "--data", - help="The path with the output data from the pipeline", - required=False, - type=str, - ) - - parser.add_argument( - "--root", - help="The data project root. Default value: the current directory", - required=False, - default=".", - type=str, - ) - - parser.add_argument( - "--method", - help="The method to run, one of: local or global", - required=True, - type=SearchType, - choices=list(SearchType), - ) - - parser.add_argument( - "--community_level", - help="Community level in the Leiden community hierarchy from which we will load the community reports higher value means we use reports on smaller communities", - type=int, - default=2, - ) - - parser.add_argument( - "--response_type", - help="Free form text describing the response type and format, can be anything, e.g. Multiple Paragraphs, Single Paragraph, Single Sentence, List of 3-7 Points, Single Page, Multi-Page Report", - type=str, - default="Multiple Paragraphs", - ) - - parser.add_argument( - "query", - nargs=1, - help="The query to run", - type=str, - ) - - args = parser.parse_args() - - match args.method: - case SearchType.LOCAL: - run_local_search( - args.data, - args.root, - args.community_level, - args.response_type, - args.query[0], - ) - case SearchType.GLOBAL: - run_global_search( - args.data, - args.root, - args.community_level, - args.response_type, - args.query[0], - ) - case _: - raise ValueError(INVALID_METHOD_ERROR) diff --git a/graphrag/query/cli.py b/graphrag/query/cli.py deleted file mode 100644 index 10ad95d5b8..0000000000 --- a/graphrag/query/cli.py +++ /dev/null @@ -1,213 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Command line interface for the query module.""" - -import os -from pathlib import Path -from typing import cast - -import pandas as pd - -from graphrag.config import ( - GraphRagConfig, - create_graphrag_config, -) -from graphrag.index.progress import PrintProgressReporter -from graphrag.query.input.loaders.dfs import ( - store_entity_semantic_embeddings, -) -from graphrag.vector_stores import VectorStoreFactory, VectorStoreType - -from .factories import get_global_search_engine, get_local_search_engine -from .indexer_adapters import ( - read_indexer_covariates, - read_indexer_entities, - read_indexer_relationships, - read_indexer_reports, - read_indexer_text_units, -) - -reporter = PrintProgressReporter("") - - -def __get_embedding_description_store( - vector_store_type: str = VectorStoreType.LanceDB, config_args: dict | None = None -): - """Get the embedding description store.""" - if not config_args: - config_args = {} - - config_args.update({ - "collection_name": config_args.get( - "query_collection_name", - config_args.get("collection_name", "description_embedding"), - ), - }) - - description_embedding_store = VectorStoreFactory.get_vector_store( - vector_store_type=vector_store_type, kwargs=config_args - ) - - description_embedding_store.connect(**config_args) - return description_embedding_store - - -def run_global_search( - data_dir: str | None, - root_dir: str | None, - community_level: int, - response_type: str, - query: str, -): - """Run a global search with the given query.""" - data_dir, root_dir, config = _configure_paths_and_settings(data_dir, root_dir) - data_path = Path(data_dir) - - final_nodes: pd.DataFrame = pd.read_parquet( - data_path / "create_final_nodes.parquet" - ) - final_entities: pd.DataFrame = pd.read_parquet( - data_path / "create_final_entities.parquet" - ) - final_community_reports: pd.DataFrame = pd.read_parquet( - data_path / "create_final_community_reports.parquet" - ) - - reports = read_indexer_reports( - final_community_reports, final_nodes, community_level - ) - entities = read_indexer_entities(final_nodes, final_entities, community_level) - search_engine = get_global_search_engine( - config, - reports=reports, - entities=entities, - response_type=response_type, - ) - - result = search_engine.search(query=query) - - reporter.success(f"Global Search Response: {result.response}") - return result.response - - -def run_local_search( - data_dir: str | None, - root_dir: str | None, - community_level: int, - response_type: str, - query: str, -): - """Run a local search with the given query.""" - data_dir, root_dir, config = _configure_paths_and_settings(data_dir, root_dir) - data_path = Path(data_dir) - - final_nodes = pd.read_parquet(data_path / "create_final_nodes.parquet") - final_community_reports = pd.read_parquet( - data_path / "create_final_community_reports.parquet" - ) - final_text_units = pd.read_parquet(data_path / "create_final_text_units.parquet") - final_relationships = pd.read_parquet( - data_path / "create_final_relationships.parquet" - ) - final_entities = pd.read_parquet(data_path / "create_final_entities.parquet") - final_covariates_path = data_path / "create_final_covariates.parquet" - final_covariates = ( - pd.read_parquet(final_covariates_path) - if final_covariates_path.exists() - else None - ) - - vector_store_args = ( - config.embeddings.vector_store if config.embeddings.vector_store else {} - ) - vector_store_type = vector_store_args.get("type", VectorStoreType.LanceDB) - - description_embedding_store = __get_embedding_description_store( - vector_store_type=vector_store_type, - config_args=vector_store_args, - ) - entities = read_indexer_entities(final_nodes, final_entities, community_level) - store_entity_semantic_embeddings( - entities=entities, vectorstore=description_embedding_store - ) - covariates = ( - read_indexer_covariates(final_covariates) - if final_covariates is not None - else [] - ) - - search_engine = get_local_search_engine( - config, - reports=read_indexer_reports( - final_community_reports, final_nodes, community_level - ), - text_units=read_indexer_text_units(final_text_units), - entities=entities, - relationships=read_indexer_relationships(final_relationships), - covariates={"claims": covariates}, - description_embedding_store=description_embedding_store, - response_type=response_type, - ) - - result = search_engine.search(query=query) - reporter.success(f"Local Search Response: {result.response}") - return result.response - - -def _configure_paths_and_settings( - data_dir: str | None, root_dir: str | None -) -> tuple[str, str | None, GraphRagConfig]: - if data_dir is None and root_dir is None: - msg = "Either data_dir or root_dir must be provided." - raise ValueError(msg) - if data_dir is None: - data_dir = _infer_data_dir(cast(str, root_dir)) - config = _create_graphrag_config(root_dir, data_dir) - return data_dir, root_dir, config - - -def _infer_data_dir(root: str) -> str: - output = Path(root) / "output" - # use the latest data-run folder - if output.exists(): - folders = sorted(output.iterdir(), key=os.path.getmtime, reverse=True) - if len(folders) > 0: - folder = folders[0] - return str((folder / "artifacts").absolute()) - msg = f"Could not infer data directory from root={root}" - raise ValueError(msg) - - -def _create_graphrag_config(root: str | None, data_dir: str | None) -> GraphRagConfig: - """Create a GraphRag configuration.""" - return _read_config_parameters(cast(str, root or data_dir)) - - -def _read_config_parameters(root: str): - _root = Path(root) - settings_yaml = _root / "settings.yaml" - if not settings_yaml.exists(): - settings_yaml = _root / "settings.yml" - settings_json = _root / "settings.json" - - if settings_yaml.exists(): - reporter.info(f"Reading settings from {settings_yaml}") - with settings_yaml.open( - "rb", - ) as file: - import yaml - - data = yaml.safe_load(file.read().decode(encoding="utf-8", errors="strict")) - return create_graphrag_config(data, root) - - if settings_json.exists(): - reporter.info(f"Reading settings from {settings_json}") - with settings_json.open("rb") as file: - import json - - data = json.loads(file.read().decode(encoding="utf-8", errors="strict")) - return create_graphrag_config(data, root) - - reporter.info("Reading settings from environment variables") - return create_graphrag_config(root_dir=root) diff --git a/graphrag/query/context_builder/builders.py b/graphrag/query/context_builder/builders.py index 7a4ba277ae..79d2164e21 100644 --- a/graphrag/query/context_builder/builders.py +++ b/graphrag/query/context_builder/builders.py @@ -4,6 +4,7 @@ """Base classes for global and local context builders.""" from abc import ABC, abstractmethod +from dataclasses import dataclass import pandas as pd @@ -12,13 +13,27 @@ ) +@dataclass +class ContextBuilderResult: + """A class to hold the results of the build_context.""" + + context_chunks: str | list[str] + context_records: dict[str, pd.DataFrame] + llm_calls: int = 0 + prompt_tokens: int = 0 + output_tokens: int = 0 + + class GlobalContextBuilder(ABC): """Base class for global-search context builders.""" @abstractmethod - def build_context( - self, conversation_history: ConversationHistory | None = None, **kwargs - ) -> tuple[str | list[str], dict[str, pd.DataFrame]]: + async def build_context( + self, + query: str, + conversation_history: ConversationHistory | None = None, + **kwargs, + ) -> ContextBuilderResult: """Build the context for the global search mode.""" @@ -31,5 +46,17 @@ def build_context( query: str, conversation_history: ConversationHistory | None = None, **kwargs, - ) -> tuple[str | list[str], dict[str, pd.DataFrame]]: + ) -> ContextBuilderResult: """Build the context for the local search mode.""" + + +class DRIFTContextBuilder(ABC): + """Base class for DRIFT-search context builders.""" + + @abstractmethod + def build_context( + self, + query: str, + **kwargs, + ) -> tuple[pd.DataFrame, dict[str, int]]: + """Build the context for the primer search actions.""" diff --git a/graphrag/query/context_builder/community_context.py b/graphrag/query/context_builder/community_context.py index dba7f729d2..287edb48e2 100644 --- a/graphrag/query/context_builder/community_context.py +++ b/graphrag/query/context_builder/community_context.py @@ -10,11 +10,16 @@ import pandas as pd import tiktoken -from graphrag.model import CommunityReport, Entity +from graphrag.model.community_report import CommunityReport +from graphrag.model.entity import Entity from graphrag.query.llm.text_utils import num_tokens log = logging.getLogger(__name__) +NO_COMMUNITY_RECORDS_WARNING: str = ( + "Warning: No community records added when building community context." +) + def build_community_context( community_reports: list[CommunityReport], @@ -41,7 +46,39 @@ def build_community_context( The calculated weight is added as an attribute to the community reports and added to the context data table. """ - if ( + + def _is_included(report: CommunityReport) -> bool: + return report.rank is not None and report.rank >= min_community_rank + + def _get_header(attributes: list[str]) -> list[str]: + header = ["id", "title"] + attributes = [col for col in attributes if col not in header] + if not include_community_weight: + attributes = [col for col in attributes if col != community_weight_name] + header.extend(attributes) + header.append("summary" if use_community_summary else "content") + if include_community_rank: + header.append(community_rank_name) + return header + + def _report_context_text( + report: CommunityReport, attributes: list[str] + ) -> tuple[str, list[str]]: + context: list[str] = [ + report.short_id if report.short_id else "", + report.title, + *[ + str(report.attributes.get(field, "")) if report.attributes else "" + for field in attributes + ], + ] + context.append(report.summary if use_community_summary else report.full_content) + if include_community_rank: + context.append(str(report.rank)) + result = column_delimiter.join(context) + "\n" + return result, context + + compute_community_weights = ( entities and len(community_reports) > 0 and include_community_weight @@ -49,7 +86,8 @@ def build_community_context( community_reports[0].attributes is None or community_weight_name not in community_reports[0].attributes ) - ): + ) + if compute_community_weights: log.info("Computing community weights...") community_reports = _compute_community_weights( community_reports=community_reports, @@ -58,11 +96,8 @@ def build_community_context( normalize=normalize_community_weight, ) - selected_reports = [ - report - for report in community_reports - if report.rank and report.rank >= min_community_rank - ] + selected_reports = [report for report in community_reports if _is_included(report)] + if selected_reports is None or len(selected_reports) == 0: return ([], {}) @@ -70,99 +105,80 @@ def build_community_context( random.seed(random_state) random.shuffle(selected_reports) - # add context header - current_context_text = f"-----{context_name}-----" + "\n" - - # add header - header = ["id", "title"] - attribute_cols = ( - list(selected_reports[0].attributes.keys()) - if selected_reports[0].attributes + # "global" variables + attributes = ( + list(community_reports[0].attributes.keys()) + if community_reports[0].attributes else [] ) - attribute_cols = [col for col in attribute_cols if col not in header] - if not include_community_weight: - attribute_cols = [col for col in attribute_cols if col != community_weight_name] - header.extend(attribute_cols) - header.append("summary" if use_community_summary else "content") - if include_community_rank: - header.append(community_rank_name) - - current_context_text += column_delimiter.join(header) + "\n" - current_tokens = num_tokens(current_context_text, token_encoder) - current_context_records = [header] - all_context_text = [] - all_context_records = [] + header = _get_header(attributes) + all_context_text: list[str] = [] + all_context_records: list[pd.DataFrame] = [] - for report in selected_reports: - new_context = [ - report.short_id, - report.title, - *[ - str(report.attributes.get(field, "")) if report.attributes else "" - for field in attribute_cols - ], - ] - new_context.append( - report.summary if use_community_summary else report.full_content + # batch variables + batch_text: str = "" + batch_tokens: int = 0 + batch_records: list[list[str]] = [] + + def _init_batch() -> None: + nonlocal batch_text, batch_tokens, batch_records + batch_text = ( + f"-----{context_name}-----" + "\n" + column_delimiter.join(header) + "\n" ) - if include_community_rank: - new_context.append(str(report.rank)) - new_context_text = column_delimiter.join(new_context) + "\n" + batch_tokens = num_tokens(batch_text, token_encoder) + batch_records = [] - new_tokens = num_tokens(new_context_text, token_encoder) - if current_tokens + new_tokens > max_tokens: - # convert the current context records to pandas dataframe and sort by weight and rank if exist - if len(current_context_records) > 1: - record_df = _convert_report_context_to_df( - context_records=current_context_records[1:], - header=current_context_records[0], - weight_column=community_weight_name - if entities and include_community_weight - else None, - rank_column=community_rank_name if include_community_rank else None, - ) + def _cut_batch() -> None: + # convert the current context records to pandas dataframe and sort by weight and rank if exist + record_df = _convert_report_context_to_df( + context_records=batch_records, + header=header, + weight_column=( + community_weight_name if entities and include_community_weight else None + ), + rank_column=community_rank_name if include_community_rank else None, + ) + if len(record_df) == 0: + return + current_context_text = record_df.to_csv(index=False, sep=column_delimiter) + if not all_context_text and single_batch: + current_context_text = f"-----{context_name}-----\n{current_context_text}" - else: - record_df = pd.DataFrame() - current_context_text = record_df.to_csv(index=False, sep=column_delimiter) + all_context_text.append(current_context_text) + all_context_records.append(record_df) + + # initialize the first batch + _init_batch() + + for report in selected_reports: + new_context_text, new_context = _report_context_text(report, attributes) + new_tokens = num_tokens(new_context_text, token_encoder) + if batch_tokens + new_tokens > max_tokens: + # add the current batch to the context data and start a new batch if we are in multi-batch mode + _cut_batch() if single_batch: - return current_context_text, {context_name.lower(): record_df} - - all_context_text.append(current_context_text) - all_context_records.append(record_df) - - # start a new batch - current_context_text = ( - f"-----{context_name}-----" - + "\n" - + column_delimiter.join(header) - + "\n" - ) - current_tokens = num_tokens(current_context_text, token_encoder) - current_context_records = [header] - else: - current_context_text += new_context_text - current_tokens += new_tokens - current_context_records.append(new_context) - - # add the last batch if it has not been added - if current_context_text not in all_context_text: - if len(current_context_records) > 1: - record_df = _convert_report_context_to_df( - context_records=current_context_records[1:], - header=current_context_records[0], - weight_column=community_weight_name - if entities and include_community_weight - else None, - rank_column=community_rank_name if include_community_rank else None, - ) - else: - record_df = pd.DataFrame() - all_context_records.append(record_df) - current_context_text = record_df.to_csv(index=False, sep=column_delimiter) - all_context_text.append(current_context_text) + break + _init_batch() + + # add current report to the current batch + batch_text += new_context_text + batch_tokens += new_tokens + batch_records.append(new_context) + + # Extract the IDs from the current batch + current_batch_ids = {record[0] for record in batch_records} + + # Extract the IDs from all previous batches in all_context_records + existing_ids_sets = [set(record["id"].to_list()) for record in all_context_records] + + # Check if the current batch has been added + if current_batch_ids not in existing_ids_sets: + _cut_batch() + + if len(all_context_records) == 0: + log.warning(NO_COMMUNITY_RECORDS_WARNING) + return ([], {}) return all_context_text, { context_name.lower(): pd.concat(all_context_records, ignore_index=True) @@ -171,11 +187,14 @@ def build_community_context( def _compute_community_weights( community_reports: list[CommunityReport], - entities: list[Entity], + entities: list[Entity] | None, weight_attribute: str = "occurrence", normalize: bool = True, ) -> list[CommunityReport]: """Calculate a community's weight as count of text units associated with entities within the community.""" + if not entities: + return community_reports + community_text_units = {} for entity in entities: if entity.community_ids: @@ -211,7 +230,7 @@ def _rank_report_context( rank_column: str | None = "rank", ) -> pd.DataFrame: """Sort report context by community weight and rank if exist.""" - rank_attributes = [] + rank_attributes: list[str] = [] if weight_column: rank_attributes.append(weight_column) report_df[weight_column] = report_df[weight_column].astype(float) @@ -230,6 +249,9 @@ def _convert_report_context_to_df( rank_column: str | None = None, ) -> pd.DataFrame: """Convert report context records to pandas dataframe and sort by weight and rank if exist.""" + if len(context_records) == 0: + return pd.DataFrame() + record_df = pd.DataFrame( context_records, columns=cast(Any, header), diff --git a/graphrag/query/context_builder/dynamic_community_selection.py b/graphrag/query/context_builder/dynamic_community_selection.py new file mode 100644 index 0000000000..a17cfdc27a --- /dev/null +++ b/graphrag/query/context_builder/dynamic_community_selection.py @@ -0,0 +1,184 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Algorithm to dynamically select relevant communities with respect to a query.""" + +import asyncio +import logging +from collections import Counter +from copy import deepcopy +from time import time +from typing import Any + +import tiktoken + +from graphrag.model.community import Community +from graphrag.model.community_report import CommunityReport +from graphrag.query.context_builder.rate_prompt import RATE_QUERY +from graphrag.query.context_builder.rate_relevancy import rate_relevancy +from graphrag.query.llm.base import BaseLLM + +log = logging.getLogger(__name__) + +DEFAULT_RATE_LLM_PARAMS = {"temperature": 0.0, "max_tokens": 2000} + + +class DynamicCommunitySelection: + """Dynamic community selection to select community reports that are relevant to the query. + + Any community report with a rating EQUAL or ABOVE the rating_threshold is considered relevant. + """ + + def __init__( + self, + community_reports: list[CommunityReport], + communities: list[Community], + llm: BaseLLM, + token_encoder: tiktoken.Encoding, + rate_query: str = RATE_QUERY, + use_summary: bool = False, + threshold: int = 1, + keep_parent: bool = False, + num_repeats: int = 1, + max_level: int = 2, + concurrent_coroutines: int = 8, + llm_kwargs: Any = DEFAULT_RATE_LLM_PARAMS, + ): + self.llm = llm + self.token_encoder = token_encoder + self.rate_query = rate_query + self.num_repeats = num_repeats + self.use_summary = use_summary + self.threshold = threshold + self.keep_parent = keep_parent + self.max_level = max_level + self.semaphore = asyncio.Semaphore(concurrent_coroutines) + self.llm_kwargs = llm_kwargs + + self.reports = {report.community_id: report for report in community_reports} + # mapping from community to sub communities + self.node2children = { + community.id: ( + [] + if community.sub_community_ids is None + else community.sub_community_ids + ) + for community in communities + } + # mapping from community to parent community + self.node2parent: dict[str, str] = { + sub_community: community + for community, sub_communities in self.node2children.items() + for sub_community in sub_communities + } + # mapping from level to communities + self.levels: dict[str, list[str]] = {} + for community in communities: + if community.level not in self.levels: + self.levels[community.level] = [] + if community.id in self.reports: + self.levels[community.level].append(community.id) + + # start from root communities (level 0) + self.starting_communities = self.levels["0"] + + async def select(self, query: str) -> tuple[list[CommunityReport], dict[str, Any]]: + """ + Select relevant communities with respect to the query. + + Args: + query: the query to rate against + """ + start = time() + queue = deepcopy(self.starting_communities) + level = 0 + + ratings = {} # store the ratings for each community + llm_info: dict[str, Any] = { + "llm_calls": 0, + "prompt_tokens": 0, + "output_tokens": 0, + } + relevant_communities = set() + while queue: + gather_results = await asyncio.gather(*[ + rate_relevancy( + query=query, + description=( + self.reports[community].summary + if self.use_summary + else self.reports[community].full_content + ), + llm=self.llm, + token_encoder=self.token_encoder, + rate_query=self.rate_query, + num_repeats=self.num_repeats, + semaphore=self.semaphore, + **self.llm_kwargs, + ) + for community in queue + ]) + + communities_to_rate = [] + for community, result in zip(queue, gather_results, strict=True): + rating = result["rating"] + log.debug( + "dynamic community selection: community %s rating %s", + community, + rating, + ) + ratings[community] = rating + llm_info["llm_calls"] += result["llm_calls"] + llm_info["prompt_tokens"] += result["prompt_tokens"] + llm_info["output_tokens"] += result["output_tokens"] + if rating >= self.threshold: + relevant_communities.add(community) + # find children nodes of the current node and append them to the queue + # TODO check why some sub_communities are NOT in report_df + if community in self.node2children: + for sub_community in self.node2children[community]: + if sub_community in self.reports: + communities_to_rate.append(sub_community) + else: + log.debug( + "dynamic community selection: cannot find community %s in reports", + sub_community, + ) + # remove parent node if the current node is deemed relevant + if not self.keep_parent and community in self.node2parent: + relevant_communities.discard(self.node2parent[community]) + queue = communities_to_rate + level += 1 + if ( + (len(queue) == 0) + and (len(relevant_communities) == 0) + and (str(level) in self.levels) + and (level <= self.max_level) + ): + log.info( + "dynamic community selection: no relevant community " + "reports, adding all reports at level %s to rate.", + level, + ) + # append all communities at the next level to queue + queue = self.levels[str(level)] + + community_reports = [ + self.reports[community] for community in relevant_communities + ] + end = time() + + log.info( + "dynamic community selection (took: %ss)\n" + "\trating distribution %s\n" + "\t%s out of %s community reports are relevant\n" + "\tprompt tokens: %s, output tokens: %s", + int(end - start), + dict(sorted(Counter(ratings.values()).items())), + len(relevant_communities), + len(self.reports), + llm_info["prompt_tokens"], + llm_info["output_tokens"], + ) + llm_info["ratings"] = ratings + return community_reports, llm_info diff --git a/graphrag/query/context_builder/entity_extraction.py b/graphrag/query/context_builder/entity_extraction.py index 82a0699cd8..dd2ec63c27 100644 --- a/graphrag/query/context_builder/entity_extraction.py +++ b/graphrag/query/context_builder/entity_extraction.py @@ -5,13 +5,15 @@ from enum import Enum -from graphrag.model import Entity, Relationship +from graphrag.model.entity import Entity +from graphrag.model.relationship import Relationship from graphrag.query.input.retrieval.entities import ( + get_entity_by_id, get_entity_by_key, get_entity_by_name, ) from graphrag.query.llm.base import BaseTextEmbedding -from graphrag.vector_stores import BaseVectorStore +from graphrag.vector_stores.base import BaseVectorStore class EntityVectorStoreKey(str, Enum): @@ -36,7 +38,7 @@ def map_query_to_entities( query: str, text_embedding_vectorstore: BaseVectorStore, text_embedder: BaseTextEmbedding, - all_entities: list[Entity], + all_entities_dict: dict[str, Entity], embedding_vectorstore_key: str = EntityVectorStoreKey.ID, include_entity_names: list[str] | None = None, exclude_entity_names: list[str] | None = None, @@ -48,6 +50,7 @@ def map_query_to_entities( include_entity_names = [] if exclude_entity_names is None: exclude_entity_names = [] + all_entities = list(all_entities_dict.values()) matched_entities = [] if query != "": # get entities with highest semantic similarity to query @@ -58,11 +61,16 @@ def map_query_to_entities( k=k * oversample_scaler, ) for result in search_results: - matched = get_entity_by_key( - entities=all_entities, - key=embedding_vectorstore_key, - value=result.document.id, - ) + if embedding_vectorstore_key == EntityVectorStoreKey.ID and isinstance( + result.document.id, str + ): + matched = get_entity_by_id(all_entities_dict, result.document.id) + else: + matched = get_entity_by_key( + entities=all_entities, + key=embedding_vectorstore_key, + value=result.document.id, + ) if matched: matched_entities.append(matched) else: @@ -84,52 +92,6 @@ def map_query_to_entities( return included_entities + matched_entities -def find_nearest_neighbors_by_graph_embeddings( - entity_id: str, - graph_embedding_vectorstore: BaseVectorStore, - all_entities: list[Entity], - exclude_entity_names: list[str] | None = None, - embedding_vectorstore_key: str = EntityVectorStoreKey.ID, - k: int = 10, - oversample_scaler: int = 2, -) -> list[Entity]: - """Retrieve related entities by graph embeddings.""" - if exclude_entity_names is None: - exclude_entity_names = [] - # find nearest neighbors of this entity using graph embedding - query_entity = get_entity_by_key( - entities=all_entities, key=embedding_vectorstore_key, value=entity_id - ) - query_embedding = query_entity.graph_embedding if query_entity else None - - # oversample to account for excluded entities - if query_embedding: - matched_entities = [] - search_results = graph_embedding_vectorstore.similarity_search_by_vector( - query_embedding=query_embedding, k=k * oversample_scaler - ) - for result in search_results: - matched = get_entity_by_key( - entities=all_entities, - key=embedding_vectorstore_key, - value=result.document.id, - ) - if matched: - matched_entities.append(matched) - - # filter out excluded entities - if exclude_entity_names: - matched_entities = [ - entity - for entity in matched_entities - if entity.title not in exclude_entity_names - ] - matched_entities.sort(key=lambda x: x.rank, reverse=True) - return matched_entities[:k] - - return [] - - def find_nearest_neighbors_by_entity_rank( entity_name: str, all_entities: list[Entity], diff --git a/graphrag/query/context_builder/local_context.py b/graphrag/query/context_builder/local_context.py index c2f7527e33..7cb61e3e8c 100644 --- a/graphrag/query/context_builder/local_context.py +++ b/graphrag/query/context_builder/local_context.py @@ -9,7 +9,9 @@ import pandas as pd import tiktoken -from graphrag.model import Covariate, Entity, Relationship +from graphrag.model.covariate import Covariate +from graphrag.model.entity import Entity +from graphrag.model.relationship import Relationship from graphrag.query.input.retrieval.covariates import ( get_candidate_covariates, to_covariate_dataframe, @@ -288,7 +290,12 @@ def _filter_relationships( ) # sort by attributes[links] first, then by ranking_attribute - if relationship_ranking_attribute == "weight": + if relationship_ranking_attribute == "rank": + out_network_relationships.sort( + key=lambda x: (x.attributes["links"], x.rank), # type: ignore + reverse=True, # type: ignore + ) + elif relationship_ranking_attribute == "weight": out_network_relationships.sort( key=lambda x: (x.attributes["links"], x.weight), # type: ignore reverse=True, # type: ignore diff --git a/graphrag/query/context_builder/rate_prompt.py b/graphrag/query/context_builder/rate_prompt.py new file mode 100644 index 0000000000..6a5bcaf222 --- /dev/null +++ b/graphrag/query/context_builder/rate_prompt.py @@ -0,0 +1,23 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Global search with dynamic community selection prompt.""" + +RATE_QUERY = """ +---Role--- +You are a helpful assistant responsible for deciding whether the provided information is useful in answering a given question, even if it is only partially relevant. +---Goal--- +On a scale from 0 to 5, please rate how relevant or helpful is the provided information in answering the question. +---Information--- +{description} +---Question--- +{question} +---Target response length and format--- +Please response in the following JSON format with two entries: +- "reason": the reasoning of your rating, please include information that you have considered. +- "rating": the relevancy rating from 0 to 5, where 0 is the least relevant and 5 is the most relevant. +{{ + "reason": str, + "rating": int. +}} +""" diff --git a/graphrag/query/context_builder/rate_relevancy.py b/graphrag/query/context_builder/rate_relevancy.py new file mode 100644 index 0000000000..5ae67f38c2 --- /dev/null +++ b/graphrag/query/context_builder/rate_relevancy.py @@ -0,0 +1,76 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Algorithm to rate the relevancy between a query and description text.""" + +import asyncio +import logging +from contextlib import nullcontext +from typing import Any + +import numpy as np +import tiktoken + +from graphrag.llm.openai.utils import try_parse_json_object +from graphrag.query.context_builder.rate_prompt import RATE_QUERY +from graphrag.query.llm.base import BaseLLM +from graphrag.query.llm.text_utils import num_tokens + +log = logging.getLogger(__name__) + + +async def rate_relevancy( + query: str, + description: str, + llm: BaseLLM, + token_encoder: tiktoken.Encoding, + rate_query: str = RATE_QUERY, + num_repeats: int = 1, + semaphore: asyncio.Semaphore | None = None, + **llm_kwargs: Any, +) -> dict[str, Any]: + """ + Rate the relevancy between the query and description on a scale of 0 to 10. + + Args: + query: the query (or question) to rate against + description: the community description to rate, it can be the community + title, summary, or the full content. + llm: LLM model to use for rating + token_encoder: token encoder + num_repeats: number of times to repeat the rating process for the same community (default: 1) + llm_kwargs: additional arguments to pass to the LLM model + semaphore: asyncio.Semaphore to limit the number of concurrent LLM calls (default: None) + """ + llm_calls, prompt_tokens, output_tokens, ratings = 0, 0, 0, [] + messages = [ + { + "role": "system", + "content": rate_query.format(description=description, question=query), + }, + {"role": "user", "content": query}, + ] + for _ in range(num_repeats): + async with semaphore if semaphore is not None else nullcontext(): + response = await llm.agenerate(messages=messages, **llm_kwargs) + try: + _, parsed_response = try_parse_json_object(response) + ratings.append(parsed_response["rating"]) + except KeyError: + # in case of json parsing error, default to rating 1 so the report is kept. + # json parsing error should rarely happen. + log.info("Error parsing json response, defaulting to rating 1") + ratings.append(1) + llm_calls += 1 + prompt_tokens += num_tokens(messages[0]["content"], token_encoder) + output_tokens += num_tokens(response, token_encoder) + # select the decision with the most votes + options, counts = np.unique(ratings, return_counts=True) + rating = int(options[np.argmax(counts)]) + return { + "rating": rating, + "ratings": ratings, + "llm_calls": llm_calls, + "prompt_tokens": prompt_tokens, + "output_tokens": output_tokens, + } diff --git a/graphrag/query/context_builder/source_context.py b/graphrag/query/context_builder/source_context.py index 99b7791ca6..b8ba86aee4 100644 --- a/graphrag/query/context_builder/source_context.py +++ b/graphrag/query/context_builder/source_context.py @@ -9,7 +9,8 @@ import pandas as pd import tiktoken -from graphrag.model import Entity, Relationship, TextUnit +from graphrag.model.relationship import Relationship +from graphrag.model.text_unit import TextUnit from graphrag.query.llm.text_utils import num_tokens """ @@ -78,33 +79,21 @@ def build_text_unit_context( def count_relationships( - text_unit: TextUnit, entity: Entity, relationships: dict[str, Relationship] + entity_relationships: list[Relationship], text_unit: TextUnit ) -> int: """Count the number of relationships of the selected entity that are associated with the text unit.""" - matching_relationships = list[Relationship]() - if text_unit.relationship_ids is None: - entity_relationships = [ - rel - for rel in relationships.values() - if rel.source == entity.title or rel.target == entity.title - ] - entity_relationships = [ - rel for rel in entity_relationships if rel.text_unit_ids - ] - matching_relationships = [ - rel + if not text_unit.relationship_ids: + # Use list comprehension to count relationships where the text_unit.id is in rel.text_unit_ids + return sum( + 1 for rel in entity_relationships - if text_unit.id in rel.text_unit_ids # type: ignore - ] # type: ignore - else: - text_unit_relationships = [ - relationships[rel_id] - for rel_id in text_unit.relationship_ids - if rel_id in relationships - ] - matching_relationships = [ - rel - for rel in text_unit_relationships - if rel.source == entity.title or rel.target == entity.title - ] - return len(matching_relationships) + if rel.text_unit_ids and text_unit.id in rel.text_unit_ids + ) + + # Use a set for faster lookups if entity_relationships is large + entity_relationship_ids = {rel.id for rel in entity_relationships} + + # Count matching relationship ids efficiently + return sum( + 1 for rel_id in text_unit.relationship_ids if rel_id in entity_relationship_ids + ) diff --git a/graphrag/query/factories.py b/graphrag/query/factories.py index 8b6d58fb7e..b854569b92 100644 --- a/graphrag/query/factories.py +++ b/graphrag/query/factories.py @@ -3,24 +3,23 @@ """Query Factory methods to support CLI.""" +from copy import deepcopy + import tiktoken -from azure.identity import DefaultAzureCredential, get_bearer_token_provider -from graphrag.config import ( - GraphRagConfig, - LLMType, -) -from graphrag.model import ( - CommunityReport, - Covariate, - Entity, - Relationship, - TextUnit, -) +from graphrag.config.models.graph_rag_config import GraphRagConfig +from graphrag.model.community import Community +from graphrag.model.community_report import CommunityReport +from graphrag.model.covariate import Covariate +from graphrag.model.entity import Entity +from graphrag.model.relationship import Relationship +from graphrag.model.text_unit import TextUnit from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey -from graphrag.query.llm.oai.chat_openai import ChatOpenAI -from graphrag.query.llm.oai.embedding import OpenAIEmbedding -from graphrag.query.llm.oai.typing import OpenaiApiType +from graphrag.query.llm.get_client import get_llm, get_text_embedder +from graphrag.query.structured_search.drift_search.drift_context import ( + DRIFTSearchContextBuilder, +) +from graphrag.query.structured_search.drift_search.search import DRIFTSearch from graphrag.query.structured_search.global_search.community_context import ( GlobalCommunityContext, ) @@ -29,74 +28,7 @@ LocalSearchMixedContext, ) from graphrag.query.structured_search.local_search.search import LocalSearch -from graphrag.vector_stores import BaseVectorStore - - -def get_llm(config: GraphRagConfig) -> ChatOpenAI: - """Get the LLM client.""" - is_azure_client = ( - config.llm.type == LLMType.AzureOpenAIChat - or config.llm.type == LLMType.AzureOpenAI - ) - debug_llm_key = config.llm.api_key or "" - llm_debug_info = { - **config.llm.model_dump(), - "api_key": f"REDACTED,len={len(debug_llm_key)}", - } - if config.llm.cognitive_services_endpoint is None: - cognitive_services_endpoint = "https://cognitiveservices.azure.com/.default" - else: - cognitive_services_endpoint = config.llm.cognitive_services_endpoint - print(f"creating llm client with {llm_debug_info}") # noqa T201 - return ChatOpenAI( - api_key=config.llm.api_key, - azure_ad_token_provider=( - get_bearer_token_provider( - DefaultAzureCredential(), cognitive_services_endpoint - ) - if is_azure_client and not config.llm.api_key - else None - ), - api_base=config.llm.api_base, - organization=config.llm.organization, - model=config.llm.model, - api_type=OpenaiApiType.AzureOpenAI if is_azure_client else OpenaiApiType.OpenAI, - deployment_name=config.llm.deployment_name, - api_version=config.llm.api_version, - max_retries=config.llm.max_retries, - ) - - -def get_text_embedder(config: GraphRagConfig) -> OpenAIEmbedding: - """Get the LLM client for embeddings.""" - is_azure_client = config.embeddings.llm.type == LLMType.AzureOpenAIEmbedding - debug_embedding_api_key = config.embeddings.llm.api_key or "" - llm_debug_info = { - **config.embeddings.llm.model_dump(), - "api_key": f"REDACTED,len={len(debug_embedding_api_key)}", - } - if config.embeddings.llm.cognitive_services_endpoint is None: - cognitive_services_endpoint = "https://cognitiveservices.azure.com/.default" - else: - cognitive_services_endpoint = config.embeddings.llm.cognitive_services_endpoint - print(f"creating embedding llm client with {llm_debug_info}") # noqa T201 - return OpenAIEmbedding( - api_key=config.embeddings.llm.api_key, - azure_ad_token_provider=( - get_bearer_token_provider( - DefaultAzureCredential(), cognitive_services_endpoint - ) - if is_azure_client and not config.embeddings.llm.api_key - else None - ), - api_base=config.embeddings.llm.api_base, - organization=config.llm.organization, - api_type=OpenaiApiType.AzureOpenAI if is_azure_client else OpenaiApiType.OpenAI, - model=config.embeddings.llm.model, - deployment_name=config.embeddings.llm.deployment_name, - api_version=config.embeddings.llm.api_version, - max_retries=config.embeddings.llm.max_retries, - ) +from graphrag.vector_stores.base import BaseVectorStore def get_local_search_engine( @@ -108,6 +40,7 @@ def get_local_search_engine( covariates: dict[str, list[Covariate]], response_type: str, description_embedding_store: BaseVectorStore, + system_prompt: str | None = None, ) -> LocalSearch: """Create a local search engine based on data + configuration.""" llm = get_llm(config) @@ -118,6 +51,7 @@ def get_local_search_engine( return LocalSearch( llm=llm, + system_prompt=system_prompt, context_builder=LocalSearchMixedContext( community_reports=reports, text_units=text_units, @@ -158,16 +92,45 @@ def get_global_search_engine( config: GraphRagConfig, reports: list[CommunityReport], entities: list[Entity], + communities: list[Community], response_type: str, -): + dynamic_community_selection: bool = False, + map_system_prompt: str | None = None, + reduce_system_prompt: str | None = None, + general_knowledge_inclusion_prompt: str | None = None, +) -> GlobalSearch: """Create a global search engine based on data + configuration.""" token_encoder = tiktoken.get_encoding(config.encoding_model) gs_config = config.global_search + dynamic_community_selection_kwargs = {} + if dynamic_community_selection: + gs_config = config.global_search + _config = deepcopy(config) + _config.llm.model = _config.llm.deployment_name = gs_config.dynamic_search_llm + dynamic_community_selection_kwargs.update({ + "llm": get_llm(_config), + "token_encoder": tiktoken.encoding_for_model(gs_config.dynamic_search_llm), + "keep_parent": gs_config.dynamic_search_keep_parent, + "num_repeats": gs_config.dynamic_search_num_repeats, + "use_summary": gs_config.dynamic_search_use_summary, + "concurrent_coroutines": gs_config.dynamic_search_concurrent_coroutines, + "threshold": gs_config.dynamic_search_threshold, + "max_level": gs_config.dynamic_search_max_level, + }) + return GlobalSearch( llm=get_llm(config), + map_system_prompt=map_system_prompt, + reduce_system_prompt=reduce_system_prompt, + general_knowledge_inclusion_prompt=general_knowledge_inclusion_prompt, context_builder=GlobalCommunityContext( - community_reports=reports, entities=entities, token_encoder=token_encoder + community_reports=reports, + communities=communities, + entities=entities, + token_encoder=token_encoder, + dynamic_community_selection=dynamic_community_selection, + dynamic_community_selection_kwargs=dynamic_community_selection_kwargs, ), token_encoder=token_encoder, max_data_tokens=gs_config.data_max_tokens, @@ -200,3 +163,34 @@ def get_global_search_engine( concurrent_coroutines=gs_config.concurrency, response_type=response_type, ) + + +def get_drift_search_engine( + config: GraphRagConfig, + reports: list[CommunityReport], + text_units: list[TextUnit], + entities: list[Entity], + relationships: list[Relationship], + description_embedding_store: BaseVectorStore, + local_system_prompt: str | None = None, +) -> DRIFTSearch: + """Create a local search engine based on data + configuration.""" + llm = get_llm(config) + text_embedder = get_text_embedder(config) + token_encoder = tiktoken.get_encoding(config.encoding_model) + + return DRIFTSearch( + llm=llm, + context_builder=DRIFTSearchContextBuilder( + chat_llm=llm, + text_embedder=text_embedder, + entities=entities, + relationships=relationships, + reports=reports, + entity_text_embeddings=description_embedding_store, + text_units=text_units, + local_system_prompt=local_system_prompt, + config=config.drift_search, + ), + token_encoder=token_encoder, + ) diff --git a/graphrag/query/indexer_adapters.py b/graphrag/query/indexer_adapters.py index 4ce90d9215..478fe385d2 100644 --- a/graphrag/query/indexer_adapters.py +++ b/graphrag/query/indexer_adapters.py @@ -3,28 +3,41 @@ """Indexing-Engine to Query Read Adapters. The parts of these functions that do type adaptation, renaming, collating, etc. should eventually go away. -Ideally this is just a straight read-thorugh into the object model. +Ideally this is just a straight read-through into the object model. """ +import logging from typing import cast import pandas as pd -from graphrag.model import CommunityReport, Covariate, Entity, Relationship, TextUnit +from graphrag.config.models.graph_rag_config import GraphRagConfig +from graphrag.index.operations.summarize_communities import restore_community_hierarchy +from graphrag.model.community import Community +from graphrag.model.community_report import CommunityReport +from graphrag.model.covariate import Covariate +from graphrag.model.entity import Entity +from graphrag.model.relationship import Relationship +from graphrag.model.text_unit import TextUnit +from graphrag.query.factories import get_text_embedder from graphrag.query.input.loaders.dfs import ( + read_communities, read_community_reports, read_covariates, read_entities, read_relationships, read_text_units, ) +from graphrag.query.llm.oai.embedding import OpenAIEmbedding +from graphrag.vector_stores.base import BaseVectorStore + +log = logging.getLogger(__name__) def read_indexer_text_units(final_text_units: pd.DataFrame) -> list[TextUnit]: """Read in the Text Units from the raw indexing outputs.""" return read_text_units( df=final_text_units, - short_id_col=None, # expects a covariate map of type -> ids covariates_col=None, ) @@ -50,88 +63,211 @@ def read_indexer_covariates(final_covariates: pd.DataFrame) -> list[Covariate]: def read_indexer_relationships(final_relationships: pd.DataFrame) -> list[Relationship]: """Read in the Relationships from the raw indexing outputs.""" + # rank is for back-compat with older indexes + # TODO: remove for 1.0 + rank_col = ( + "combined_degree" + if "combined_degree" in final_relationships.columns + else "rank" + ) return read_relationships( df=final_relationships, short_id_col="human_readable_id", + rank_col=rank_col, description_embedding_col=None, - document_ids_col=None, - attributes_cols=["rank"], + attributes_cols=None, ) def read_indexer_reports( final_community_reports: pd.DataFrame, final_nodes: pd.DataFrame, - community_level: int, + community_level: int | None, + dynamic_community_selection: bool = False, + content_embedding_col: str = "full_content_embedding", + config: GraphRagConfig | None = None, ) -> list[CommunityReport]: - """Read in the Community Reports from the raw indexing outputs.""" - report_df = final_community_reports - entity_df = final_nodes - entity_df = _filter_under_community_level(entity_df, community_level) - entity_df["community"] = entity_df["community"].fillna(-1) - entity_df["community"] = entity_df["community"].astype(int) + """Read in the Community Reports from the raw indexing outputs. + + If not dynamic_community_selection, then select reports with the max community level that an entity belongs to. + """ + reports_df = final_community_reports + nodes_df = final_nodes + + if community_level is not None: + nodes_df = _filter_under_community_level(nodes_df, community_level) + reports_df = _filter_under_community_level(reports_df, community_level) - entity_df = entity_df.groupby(["title"]).agg({"community": "max"}).reset_index() - entity_df["community"] = entity_df["community"].astype(str) - filtered_community_df = entity_df["community"].drop_duplicates() + if not dynamic_community_selection: + # perform community level roll up + nodes_df.loc[:, "community"] = nodes_df["community"].fillna(-1) + nodes_df.loc[:, "community"] = nodes_df["community"].astype(int) - report_df = _filter_under_community_level(report_df, community_level) - report_df = report_df.merge(filtered_community_df, on="community", how="inner") + nodes_df = nodes_df.groupby(["title"]).agg({"community": "max"}).reset_index() + filtered_community_df = nodes_df["community"].drop_duplicates() + + # todo: pre 1.0 back-compat where community was a string + reports_df.loc[:, "community"] = reports_df["community"].fillna(-1) + reports_df.loc[:, "community"] = reports_df["community"].astype(int) + + reports_df = reports_df.merge( + filtered_community_df, on="community", how="inner" + ) + + if config and ( + content_embedding_col not in reports_df.columns + or reports_df.loc[:, content_embedding_col].isna().any() + ): + embedder = get_text_embedder(config) + reports_df = embed_community_reports( + reports_df, embedder, embedding_col=content_embedding_col + ) return read_community_reports( - df=report_df, - id_col="community", + df=reports_df, + id_col="id", short_id_col="community", summary_embedding_col=None, - content_embedding_col=None, + content_embedding_col=content_embedding_col, ) +def read_indexer_report_embeddings( + community_reports: list[CommunityReport], + embeddings_store: BaseVectorStore, +): + """Read in the Community Reports from the raw indexing outputs.""" + for report in community_reports: + report.full_content_embedding = embeddings_store.search_by_id(report.id).vector + + def read_indexer_entities( final_nodes: pd.DataFrame, final_entities: pd.DataFrame, - community_level: int, + community_level: int | None, ) -> list[Entity]: """Read in the Entities from the raw indexing outputs.""" - entity_df = final_nodes - entity_embedding_df = final_entities + nodes_df = final_nodes + entities_df = final_entities - entity_df = _filter_under_community_level(entity_df, community_level) - entity_df = cast(pd.DataFrame, entity_df[["title", "degree", "community"]]).rename( - columns={"title": "name", "degree": "rank"} - ) + if community_level is not None: + nodes_df = _filter_under_community_level(nodes_df, community_level) - entity_df["community"] = entity_df["community"].fillna(-1) - entity_df["community"] = entity_df["community"].astype(int) - entity_df["rank"] = entity_df["rank"].astype(int) + nodes_df = cast(pd.DataFrame, nodes_df[["id", "degree", "community"]]) - # for duplicate entities, keep the one with the highest community level - entity_df = ( - entity_df.groupby(["name", "rank"]).agg({"community": "max"}).reset_index() + nodes_df["community"] = nodes_df["community"].fillna(-1) + nodes_df["community"] = nodes_df["community"].astype(int) + nodes_df["degree"] = nodes_df["degree"].astype(int) + + # group entities by id and degree and remove duplicated community IDs + nodes_df = nodes_df.groupby(["id", "degree"]).agg({"community": set}).reset_index() + nodes_df["community"] = nodes_df["community"].apply(lambda x: [str(i) for i in x]) + final_df = nodes_df.merge(entities_df, on="id", how="inner").drop_duplicates( + subset=["id"] ) - entity_df["community"] = entity_df["community"].apply(lambda x: [str(x)]) - entity_df = entity_df.merge( - entity_embedding_df, on="name", how="inner" - ).drop_duplicates(subset=["name"]) + + # todo: pre 1.0 back-compat where title was name + if "title" not in final_df.columns: + final_df["title"] = final_df["name"] # read entity dataframe to knowledge model objects return read_entities( - df=entity_df, + df=final_df, id_col="id", - title_col="name", + title_col="title", type_col="type", short_id_col="human_readable_id", description_col="description", community_col="community", - rank_col="rank", + rank_col="degree", name_embedding_col=None, description_embedding_col="description_embedding", - graph_embedding_col=None, text_unit_ids_col="text_unit_ids", - document_ids_col=None, ) +def read_indexer_communities( + final_communities: pd.DataFrame, + final_nodes: pd.DataFrame, + final_community_reports: pd.DataFrame, +) -> list[Community]: + """Read in the Communities from the raw indexing outputs. + + Reconstruct the community hierarchy information and add to the sub-community field. + """ + communities_df = final_communities + nodes_df = final_nodes + reports_df = final_community_reports + + # todo: pre 1.0 back-compat! + if "community" not in communities_df.columns: + communities_df["community"] = communities_df["id"] + + # ensure communities matches community reports + missing_reports = communities_df[ + ~communities_df.community.isin(reports_df.community.unique()) + ].community.to_list() + if len(missing_reports): + log.warning("Missing reports for communities: %s", missing_reports) + communities_df = communities_df.loc[ + communities_df.community.isin(reports_df.community.unique()) + ] + nodes_df = nodes_df.loc[nodes_df.community.isin(reports_df.community.unique())] + + # reconstruct the community hierarchy + # note that restore_community_hierarchy only return communities with sub communities + community_hierarchy = restore_community_hierarchy(input=nodes_df) + + # small datasets can result in hierarchies that are only one deep, so the hierarchy will have no rows + if not community_hierarchy.empty: + community_hierarchy = ( + community_hierarchy.groupby(["community"]) + .agg({"sub_community": list}) + .reset_index() + .rename(columns={"sub_community": "sub_community_ids"}) + ) + # add sub community IDs to community DataFrame + communities_df = communities_df.merge( + community_hierarchy, on="community", how="left" + ) + # replace NaN sub community IDs with empty list + communities_df.sub_community_ids = communities_df.sub_community_ids.apply( + lambda x: x if isinstance(x, list) else [] + ) + + return read_communities( + communities_df, + id_col="id", + short_id_col="community", + title_col="title", + level_col="level", + entities_col=None, + relationships_col=None, + covariates_col=None, + sub_communities_col="sub_community_ids", + attributes_cols=None, + ) + + +def embed_community_reports( + reports_df: pd.DataFrame, + embedder: OpenAIEmbedding, + source_col: str = "full_content", + embedding_col: str = "full_content_embedding", +) -> pd.DataFrame: + """Embed a source column of the reports dataframe using the given embedder.""" + if source_col not in reports_df.columns: + error_msg = f"Reports missing {source_col} column" + raise ValueError(error_msg) + + if embedding_col not in reports_df.columns: + reports_df[embedding_col] = reports_df.loc[:, source_col].apply( + lambda x: embedder.embed(x) + ) + + return reports_df + + def _filter_under_community_level( df: pd.DataFrame, community_level: int ) -> pd.DataFrame: diff --git a/graphrag/query/input/loaders/dfs.py b/graphrag/query/input/loaders/dfs.py index 7312963bb8..55af4c2d3f 100644 --- a/graphrag/query/input/loaders/dfs.py +++ b/graphrag/query/input/loaders/dfs.py @@ -5,17 +5,13 @@ import pandas as pd -from graphrag.model import ( - Community, - CommunityReport, - Covariate, - Document, - Entity, - Relationship, - TextUnit, -) +from graphrag.model.community import Community +from graphrag.model.community_report import CommunityReport +from graphrag.model.covariate import Covariate +from graphrag.model.entity import Entity +from graphrag.model.relationship import Relationship +from graphrag.model.text_unit import TextUnit from graphrag.query.input.loaders.utils import ( - to_list, to_optional_dict, to_optional_float, to_optional_int, @@ -23,22 +19,20 @@ to_optional_str, to_str, ) -from graphrag.vector_stores import BaseVectorStore, VectorStoreDocument +from graphrag.vector_stores.base import BaseVectorStore, VectorStoreDocument def read_entities( df: pd.DataFrame, id_col: str = "id", - short_id_col: str | None = "short_id", + short_id_col: str | None = "human_readable_id", title_col: str = "title", type_col: str | None = "type", description_col: str | None = "description", name_embedding_col: str | None = "name_embedding", description_embedding_col: str | None = "description_embedding", - graph_embedding_col: str | None = "graph_embedding", community_col: str | None = "community_ids", text_unit_ids_col: str | None = "text_unit_ids", - document_ids_col: str | None = "document_ids", rank_col: str | None = "degree", attributes_cols: list[str] | None = None, ) -> list[Entity]: @@ -55,10 +49,8 @@ def read_entities( description_embedding=to_optional_list( row, description_embedding_col, item_type=float ), - graph_embedding=to_optional_list(row, graph_embedding_col, item_type=float), community_ids=to_optional_list(row, community_col, item_type=str), text_unit_ids=to_optional_list(row, text_unit_ids_col), - document_ids=to_optional_list(row, document_ids_col), rank=to_optional_int(row, rank_col), attributes=( {col: row.get(col) for col in attributes_cols} @@ -92,23 +84,23 @@ def store_entity_semantic_embeddings( return vectorstore -def store_entity_behavior_embeddings( - entities: list[Entity], +def store_reports_semantic_embeddings( + reports: list[CommunityReport], vectorstore: BaseVectorStore, ) -> BaseVectorStore: - """Store entity behavior embeddings in a vectorstore.""" + """Store entity semantic embeddings in a vectorstore.""" documents = [ VectorStoreDocument( - id=entity.id, - text=entity.description, - vector=entity.graph_embedding, + id=report.id, + text=report.full_content, + vector=report.full_content_embedding, attributes=( - {"title": entity.title, **entity.attributes} - if entity.attributes - else {"title": entity.title} + {"title": report.title, **report.attributes} + if report.attributes + else {"title": report.title} ), ) - for entity in entities + for report in reports ] vectorstore.load_documents(documents=documents) return vectorstore @@ -117,14 +109,14 @@ def store_entity_behavior_embeddings( def read_relationships( df: pd.DataFrame, id_col: str = "id", - short_id_col: str | None = "short_id", + short_id_col: str | None = "human_readable_id", source_col: str = "source", target_col: str = "target", description_col: str | None = "description", + rank_col: str | None = "combined_degree", description_embedding_col: str | None = "description_embedding", weight_col: str | None = "weight", text_unit_ids_col: str | None = "text_unit_ids", - document_ids_col: str | None = "document_ids", attributes_cols: list[str] | None = None, ) -> list[Relationship]: """Read relationships from a dataframe.""" @@ -141,7 +133,7 @@ def read_relationships( ), weight=to_optional_float(row, weight_col), text_unit_ids=to_optional_list(row, text_unit_ids_col, item_type=str), - document_ids=to_optional_list(row, document_ids_col, item_type=str), + rank=to_optional_int(row, rank_col), attributes=( {col: row.get(col) for col in attributes_cols} if attributes_cols @@ -155,12 +147,10 @@ def read_relationships( def read_covariates( df: pd.DataFrame, id_col: str = "id", - short_id_col: str | None = "short_id", + short_id_col: str | None = "human_readable_id", subject_col: str = "subject_id", - subject_type_col: str | None = "subject_type", - covariate_type_col: str | None = "covariate_type", + covariate_type_col: str | None = "type", text_unit_ids_col: str | None = "text_unit_ids", - document_ids_col: str | None = "document_ids", attributes_cols: list[str] | None = None, ) -> list[Covariate]: """Read covariates from a dataframe.""" @@ -170,14 +160,10 @@ def read_covariates( id=to_str(row, id_col), short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx), subject_id=to_str(row, subject_col), - subject_type=( - to_str(row, subject_type_col) if subject_type_col else "entity" - ), covariate_type=( to_str(row, covariate_type_col) if covariate_type_col else "claim" ), text_unit_ids=to_optional_list(row, text_unit_ids_col, item_type=str), - document_ids=to_optional_list(row, document_ids_col, item_type=str), attributes=( {col: row.get(col) for col in attributes_cols} if attributes_cols @@ -191,12 +177,13 @@ def read_covariates( def read_communities( df: pd.DataFrame, id_col: str = "id", - short_id_col: str | None = "short_id", + short_id_col: str | None = "community", title_col: str = "title", level_col: str = "level", entities_col: str | None = "entity_ids", relationships_col: str | None = "relationship_ids", covariates_col: str | None = "covariate_ids", + sub_communities_col: str | None = "sub_community_ids", attributes_cols: list[str] | None = None, ) -> list[Community]: """Read communities from a dataframe.""" @@ -212,6 +199,7 @@ def read_communities( covariate_ids=to_optional_dict( row, covariates_col, key_type=str, value_type=str ), + sub_community_ids=to_optional_list(row, sub_communities_col), attributes=( {col: row.get(col) for col in attributes_cols} if attributes_cols @@ -225,7 +213,7 @@ def read_communities( def read_community_reports( df: pd.DataFrame, id_col: str = "id", - short_id_col: str | None = "short_id", + short_id_col: str | None = "community", title_col: str = "title", community_col: str = "community", summary_col: str = "summary", @@ -265,7 +253,6 @@ def read_community_reports( def read_text_units( df: pd.DataFrame, id_col: str = "id", - short_id_col: str | None = "short_id", text_col: str = "text", entities_col: str | None = "entity_ids", relationships_col: str | None = "relationship_ids", @@ -280,7 +267,7 @@ def read_text_units( for idx, row in df.iterrows(): chunk = TextUnit( id=to_str(row, id_col), - short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx), + short_id=str(idx), text=to_str(row, text_col), entity_ids=to_optional_list(row, entities_col, item_type=str), relationship_ids=to_optional_list(row, relationships_col, item_type=str), @@ -298,43 +285,3 @@ def read_text_units( ) text_units.append(chunk) return text_units - - -def read_documents( - df: pd.DataFrame, - id_col: str = "id", - short_id_col: str = "short_id", - title_col: str = "title", - type_col: str = "type", - summary_col: str | None = "entities", - raw_content_col: str | None = "relationships", - summary_embedding_col: str | None = "summary_embedding", - content_embedding_col: str | None = "raw_content_embedding", - text_units_col: str | None = "text_units", - attributes_cols: list[str] | None = None, -) -> list[Document]: - """Read documents from a dataframe.""" - docs = [] - for idx, row in df.iterrows(): - doc = Document( - id=to_str(row, id_col), - short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx), - title=to_str(row, title_col), - type=to_str(row, type_col), - summary=to_optional_str(row, summary_col), - raw_content=to_str(row, raw_content_col), - summary_embedding=to_optional_list( - row, summary_embedding_col, item_type=float - ), - raw_content_embedding=to_optional_list( - row, content_embedding_col, item_type=float - ), - text_units=to_list(row, text_units_col, item_type=str), # type: ignore - attributes=( - {col: row.get(col) for col in attributes_cols} - if attributes_cols - else None - ), - ) - docs.append(doc) - return docs diff --git a/graphrag/query/input/loaders/utils.py b/graphrag/query/input/loaders/utils.py index e0fffd2467..3c680f0faa 100644 --- a/graphrag/query/input/loaders/utils.py +++ b/graphrag/query/input/loaders/utils.py @@ -77,6 +77,9 @@ def to_optional_list( if isinstance(value, np.ndarray): value = value.tolist() + if isinstance(value, str): + value = [value] + if not isinstance(value, list): msg = f"value is not a list: {value} ({type(value)})" raise ValueError(msg) diff --git a/graphrag/query/input/retrieval/community_reports.py b/graphrag/query/input/retrieval/community_reports.py index bd4933f1f9..7fb38b4f96 100644 --- a/graphrag/query/input/retrieval/community_reports.py +++ b/graphrag/query/input/retrieval/community_reports.py @@ -7,7 +7,8 @@ import pandas as pd -from graphrag.model import CommunityReport, Entity +from graphrag.model.community_report import CommunityReport +from graphrag.model.entity import Entity def get_candidate_communities( diff --git a/graphrag/query/input/retrieval/covariates.py b/graphrag/query/input/retrieval/covariates.py index 1c45203d01..4ca5ba13f1 100644 --- a/graphrag/query/input/retrieval/covariates.py +++ b/graphrag/query/input/retrieval/covariates.py @@ -7,7 +7,8 @@ import pandas as pd -from graphrag.model import Covariate, Entity +from graphrag.model.covariate import Covariate +from graphrag.model.entity import Entity def get_candidate_covariates( diff --git a/graphrag/query/input/retrieval/entities.py b/graphrag/query/input/retrieval/entities.py index 5465f9f59e..0384ceaf90 100644 --- a/graphrag/query/input/retrieval/entities.py +++ b/graphrag/query/input/retrieval/entities.py @@ -9,20 +9,29 @@ import pandas as pd -from graphrag.model import Entity +from graphrag.model.entity import Entity + + +def get_entity_by_id(entities: dict[str, Entity], value: str) -> Entity | None: + """Get entity by id.""" + entity = entities.get(value) + if entity is None and is_valid_uuid(value): + entity = entities.get(value.replace("-", "")) + return entity def get_entity_by_key( entities: Iterable[Entity], key: str, value: str | int ) -> Entity | None: """Get entity by key.""" - for entity in entities: - if isinstance(value, str) and is_valid_uuid(value): - if getattr(entity, key) == value or getattr(entity, key) == value.replace( - "-", "" - ): + if isinstance(value, str) and is_valid_uuid(value): + value_no_dashes = value.replace("-", "") + for entity in entities: + entity_value = getattr(entity, key) + if entity_value in (value, value_no_dashes): return entity - else: + else: + for entity in entities: if getattr(entity, key) == value: return entity return None diff --git a/graphrag/query/input/retrieval/relationships.py b/graphrag/query/input/retrieval/relationships.py index 2ef5ba38cb..86ddd9efd1 100644 --- a/graphrag/query/input/retrieval/relationships.py +++ b/graphrag/query/input/retrieval/relationships.py @@ -7,7 +7,8 @@ import pandas as pd -from graphrag.model import Entity, Relationship +from graphrag.model.entity import Entity +from graphrag.model.relationship import Relationship def get_in_network_relationships( @@ -27,9 +28,7 @@ def get_in_network_relationships( return selected_relationships # sort by ranking attribute - return sort_relationships_by_ranking_attribute( - selected_relationships, selected_entities, ranking_attribute - ) + return sort_relationships_by_rank(selected_relationships, ranking_attribute) def get_out_network_relationships( @@ -52,9 +51,7 @@ def get_out_network_relationships( and relationship.source not in selected_entity_names ] selected_relationships = source_relationships + target_relationships - return sort_relationships_by_ranking_attribute( - selected_relationships, selected_entities, ranking_attribute - ) + return sort_relationships_by_rank(selected_relationships, ranking_attribute) def get_candidate_relationships( @@ -81,35 +78,11 @@ def get_entities_from_relationships( return [entity for entity in entities if entity.title in selected_entity_names] -def calculate_relationship_combined_rank( - relationships: list[Relationship], - entities: list[Entity], - ranking_attribute: str = "rank", -) -> list[Relationship]: - """Calculate default rank for a relationship based on the combined rank of source and target entities.""" - entity_mappings = {entity.title: entity for entity in entities} - - for relationship in relationships: - if relationship.attributes is None: - relationship.attributes = {} - source = entity_mappings.get(relationship.source) - target = entity_mappings.get(relationship.target) - source_rank = source.rank if source and source.rank else 0 - target_rank = target.rank if target and target.rank else 0 - relationship.attributes[ranking_attribute] = source_rank + target_rank # type: ignore - return relationships - - -def sort_relationships_by_ranking_attribute( +def sort_relationships_by_rank( relationships: list[Relationship], - entities: list[Entity], ranking_attribute: str = "rank", ) -> list[Relationship]: - """ - Sort relationships by a ranking_attribute. - - If no ranking attribute exists, sort by combined rank of source and target entities. - """ + """Sort relationships by a ranking_attribute.""" if len(relationships) == 0: return relationships @@ -122,17 +95,10 @@ def sort_relationships_by_ranking_attribute( key=lambda x: int(x.attributes[ranking_attribute]) if x.attributes else 0, reverse=True, ) + elif ranking_attribute == "rank": + relationships.sort(key=lambda x: x.rank if x.rank else 0.0, reverse=True) elif ranking_attribute == "weight": relationships.sort(key=lambda x: x.weight if x.weight else 0.0, reverse=True) - else: - # ranking attribute do not exist, calculate rank = combined ranks of source and target - relationships = calculate_relationship_combined_rank( - relationships, entities, ranking_attribute - ) - relationships.sort( - key=lambda x: int(x.attributes[ranking_attribute]) if x.attributes else 0, - reverse=True, - ) return relationships diff --git a/graphrag/query/input/retrieval/text_units.py b/graphrag/query/input/retrieval/text_units.py index a00dc20a0a..1a0305bc3d 100644 --- a/graphrag/query/input/retrieval/text_units.py +++ b/graphrag/query/input/retrieval/text_units.py @@ -7,7 +7,8 @@ import pandas as pd -from graphrag.model import Entity, TextUnit +from graphrag.model.entity import Entity +from graphrag.model.text_unit import TextUnit def get_candidate_text_units( diff --git a/graphrag/query/llm/base.py b/graphrag/query/llm/base.py index 228150af50..a3a8cceb7f 100644 --- a/graphrag/query/llm/base.py +++ b/graphrag/query/llm/base.py @@ -4,18 +4,10 @@ """Base classes for LLM and Embedding models.""" from abc import ABC, abstractmethod +from collections.abc import AsyncGenerator, Generator from typing import Any - -class BaseLLMCallback: - """Base class for LLM callbacks.""" - - def __init__(self): - self.response = [] - - def on_llm_new_token(self, token: str): - """Handle when a new token is generated.""" - self.response.append(token) +from graphrag.callbacks.llm_callbacks import BaseLLMCallback class BaseLLM(ABC): @@ -31,6 +23,15 @@ def generate( ) -> str: """Generate a response.""" + @abstractmethod + def stream_generate( + self, + messages: str | list[Any], + callbacks: list[BaseLLMCallback] | None = None, + **kwargs: Any, + ) -> Generator[str, None, None]: + """Generate a response with streaming.""" + @abstractmethod async def agenerate( self, @@ -41,6 +42,16 @@ async def agenerate( ) -> str: """Generate a response asynchronously.""" + @abstractmethod + async def astream_generate( + self, + messages: str | list[Any], + callbacks: list[BaseLLMCallback] | None = None, + **kwargs: Any, + ) -> AsyncGenerator[str, None]: + """Generate a response asynchronously with streaming.""" + ... + class BaseTextEmbedding(ABC): """The text embedding interface.""" diff --git a/graphrag/query/llm/get_client.py b/graphrag/query/llm/get_client.py new file mode 100644 index 0000000000..5b9dbfbbc2 --- /dev/null +++ b/graphrag/query/llm/get_client.py @@ -0,0 +1,77 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Initialize LLM and Embedding clients.""" + +from azure.identity import DefaultAzureCredential, get_bearer_token_provider + +from graphrag.config.enums import LLMType +from graphrag.config.models.graph_rag_config import GraphRagConfig +from graphrag.query.llm.oai.chat_openai import ChatOpenAI +from graphrag.query.llm.oai.embedding import OpenAIEmbedding +from graphrag.query.llm.oai.typing import OpenaiApiType + + +def get_llm(config: GraphRagConfig) -> ChatOpenAI: + """Get the LLM client.""" + is_azure_client = ( + config.llm.type == LLMType.AzureOpenAIChat + or config.llm.type == LLMType.AzureOpenAI + ) + debug_llm_key = config.llm.api_key or "" + llm_debug_info = { + **config.llm.model_dump(), + "api_key": f"REDACTED,len={len(debug_llm_key)}", + } + audience = ( + config.llm.audience + if config.llm.audience + else "https://cognitiveservices.azure.com/.default" + ) + print(f"creating llm client with {llm_debug_info}") # noqa T201 + return ChatOpenAI( + api_key=config.llm.api_key, + azure_ad_token_provider=( + get_bearer_token_provider(DefaultAzureCredential(), audience) + if is_azure_client and not config.llm.api_key + else None + ), + api_base=config.llm.api_base, + organization=config.llm.organization, + model=config.llm.model, + api_type=OpenaiApiType.AzureOpenAI if is_azure_client else OpenaiApiType.OpenAI, + deployment_name=config.llm.deployment_name, + api_version=config.llm.api_version, + max_retries=config.llm.max_retries, + request_timeout=config.llm.request_timeout, + ) + + +def get_text_embedder(config: GraphRagConfig) -> OpenAIEmbedding: + """Get the LLM client for embeddings.""" + is_azure_client = config.embeddings.llm.type == LLMType.AzureOpenAIEmbedding + debug_embedding_api_key = config.embeddings.llm.api_key or "" + llm_debug_info = { + **config.embeddings.llm.model_dump(), + "api_key": f"REDACTED,len={len(debug_embedding_api_key)}", + } + if config.embeddings.llm.audience is None: + audience = "https://cognitiveservices.azure.com/.default" + else: + audience = config.embeddings.llm.audience + print(f"creating embedding llm client with {llm_debug_info}") # noqa T201 + return OpenAIEmbedding( + api_key=config.embeddings.llm.api_key, + azure_ad_token_provider=( + get_bearer_token_provider(DefaultAzureCredential(), audience) + if is_azure_client and not config.embeddings.llm.api_key + else None + ), + api_base=config.embeddings.llm.api_base, + organization=config.llm.organization, + api_type=OpenaiApiType.AzureOpenAI if is_azure_client else OpenaiApiType.OpenAI, + model=config.embeddings.llm.model, + deployment_name=config.embeddings.llm.deployment_name, + api_version=config.embeddings.llm.api_version, + max_retries=config.embeddings.llm.max_retries, + ) diff --git a/graphrag/query/llm/oai/__init__.py b/graphrag/query/llm/oai/__init__.py index cbb257905e..910766bdfb 100644 --- a/graphrag/query/llm/oai/__init__.py +++ b/graphrag/query/llm/oai/__init__.py @@ -2,20 +2,3 @@ # Licensed under the MIT License """GraphRAG Orchestration OpenAI Wrappers.""" - -from .base import BaseOpenAILLM, OpenAILLMImpl, OpenAITextEmbeddingImpl -from .chat_openai import ChatOpenAI -from .embedding import OpenAIEmbedding -from .openai import OpenAI -from .typing import OPENAI_RETRY_ERROR_TYPES, OpenaiApiType - -__all__ = [ - "OPENAI_RETRY_ERROR_TYPES", - "BaseOpenAILLM", - "ChatOpenAI", - "OpenAI", - "OpenAIEmbedding", - "OpenAILLMImpl", - "OpenAITextEmbeddingImpl", - "OpenaiApiType", -] diff --git a/graphrag/query/llm/oai/base.py b/graphrag/query/llm/oai/base.py index 6181c0b2a5..0bdea9c1b3 100644 --- a/graphrag/query/llm/oai/base.py +++ b/graphrag/query/llm/oai/base.py @@ -8,9 +8,10 @@ from openai import AsyncAzureOpenAI, AsyncOpenAI, AzureOpenAI, OpenAI +from graphrag.logging.base import StatusLogger +from graphrag.logging.console import ConsoleReporter from graphrag.query.llm.base import BaseTextEmbedding from graphrag.query.llm.oai.typing import OpenaiApiType -from graphrag.query.progress import ConsoleStatusReporter, StatusReporter class BaseOpenAILLM(ABC): @@ -87,7 +88,7 @@ def sync_client(self, client: OpenAI | AzureOpenAI): class OpenAILLMImpl(BaseOpenAILLM): """Orchestration OpenAI LLM Implementation.""" - _reporter: StatusReporter = ConsoleStatusReporter() + _reporter: StatusLogger = ConsoleReporter() def __init__( self, @@ -100,7 +101,7 @@ def __init__( organization: str | None = None, max_retries: int = 10, request_timeout: float = 180.0, - reporter: StatusReporter | None = None, + reporter: StatusLogger | None = None, ): self.api_key = api_key self.azure_ad_token_provider = azure_ad_token_provider @@ -111,7 +112,7 @@ def __init__( self.organization = organization self.max_retries = max_retries self.request_timeout = request_timeout - self.reporter = reporter or ConsoleStatusReporter() + self.reporter = reporter or ConsoleReporter() try: # Create OpenAI sync and async clients @@ -181,7 +182,7 @@ def _create_openai_client(self): class OpenAITextEmbeddingImpl(BaseTextEmbedding): """Orchestration OpenAI Text Embedding Implementation.""" - _reporter: StatusReporter | None = None + _reporter: StatusLogger | None = None def _create_openai_client(self, api_type: OpenaiApiType): """Create a new synchronous and asynchronous OpenAI client instance.""" diff --git a/graphrag/query/llm/oai/chat_openai.py b/graphrag/query/llm/oai/chat_openai.py index 92a9755b10..8daadd750b 100644 --- a/graphrag/query/llm/oai/chat_openai.py +++ b/graphrag/query/llm/oai/chat_openai.py @@ -3,7 +3,7 @@ """Chat-based OpenAI LLM implementation.""" -from collections.abc import Callable +from collections.abc import AsyncGenerator, Callable, Generator from typing import Any from tenacity import ( @@ -15,13 +15,13 @@ wait_exponential_jitter, ) +from graphrag.logging.base import StatusLogger from graphrag.query.llm.base import BaseLLM, BaseLLMCallback from graphrag.query.llm.oai.base import OpenAILLMImpl from graphrag.query.llm.oai.typing import ( OPENAI_RETRY_ERROR_TYPES, OpenaiApiType, ) -from graphrag.query.progress import StatusReporter _MODEL_REQUIRED_MSG = "model is required" @@ -42,7 +42,7 @@ def __init__( max_retries: int = 10, request_timeout: float = 180.0, retry_error_types: tuple[type[BaseException]] = OPENAI_RETRY_ERROR_TYPES, # type: ignore - reporter: StatusReporter | None = None, + reporter: StatusLogger | None = None, ): OpenAILLMImpl.__init__( self=self, @@ -92,6 +92,38 @@ def generate( # TODO: why not just throw in this case? return "" + def stream_generate( + self, + messages: str | list[Any], + callbacks: list[BaseLLMCallback] | None = None, + **kwargs: Any, + ) -> Generator[str, None, None]: + """Generate text with streaming.""" + try: + retryer = Retrying( + stop=stop_after_attempt(self.max_retries), + wait=wait_exponential_jitter(max=10), + reraise=True, + retry=retry_if_exception_type(self.retry_error_types), + ) + for attempt in retryer: + with attempt: + generator = self._stream_generate( + messages=messages, + callbacks=callbacks, + **kwargs, + ) + yield from generator + + except RetryError as e: + self._reporter.error( + message="Error at stream_generate()", + details={self.__class__.__name__: str(e)}, + ) + return + else: + return + async def agenerate( self, messages: str | list[Any], @@ -122,6 +154,35 @@ async def agenerate( # TODO: why not just throw in this case? return "" + async def astream_generate( + self, + messages: str | list[Any], + callbacks: list[BaseLLMCallback] | None = None, + **kwargs: Any, + ) -> AsyncGenerator[str, None]: + """Generate text asynchronously with streaming.""" + try: + retryer = AsyncRetrying( + stop=stop_after_attempt(self.max_retries), + wait=wait_exponential_jitter(max=10), + reraise=True, + retry=retry_if_exception_type(self.retry_error_types), # type: ignore + ) + async for attempt in retryer: + with attempt: + generator = self._astream_generate( + messages=messages, + callbacks=callbacks, + **kwargs, + ) + async for response in generator: + yield response + except RetryError as e: + self._reporter.error(f"Error at astream_generate(): {e}") + return + else: + return + def _generate( self, messages: str | list[Any], @@ -163,6 +224,37 @@ def _generate( return full_response return response.choices[0].message.content or "" # type: ignore + def _stream_generate( + self, + messages: str | list[Any], + callbacks: list[BaseLLMCallback] | None = None, + **kwargs: Any, + ) -> Generator[str, None, None]: + model = self.model + if not model: + raise ValueError(_MODEL_REQUIRED_MSG) + response = self.sync_client.chat.completions.create( # type: ignore + model=model, + messages=messages, # type: ignore + stream=True, + **kwargs, + ) + for chunk in response: + if not chunk or not chunk.choices: + continue + + delta = ( + chunk.choices[0].delta.content + if chunk.choices[0].delta and chunk.choices[0].delta.content + else "" + ) + + yield delta + + if callbacks: + for callback in callbacks: + callback.on_llm_new_token(delta) + async def _agenerate( self, messages: str | list[Any], @@ -204,3 +296,34 @@ async def _agenerate( return full_response return response.choices[0].message.content or "" # type: ignore + + async def _astream_generate( + self, + messages: str | list[Any], + callbacks: list[BaseLLMCallback] | None = None, + **kwargs: Any, + ) -> AsyncGenerator[str, None]: + model = self.model + if not model: + raise ValueError(_MODEL_REQUIRED_MSG) + response = await self.async_client.chat.completions.create( # type: ignore + model=model, + messages=messages, # type: ignore + stream=True, + **kwargs, + ) + async for chunk in response: + if not chunk or not chunk.choices: + continue + + delta = ( + chunk.choices[0].delta.content + if chunk.choices[0].delta and chunk.choices[0].delta.content + else "" + ) # type: ignore + + yield delta + + if callbacks: + for callback in callbacks: + callback.on_llm_new_token(delta) diff --git a/graphrag/query/llm/oai/embedding.py b/graphrag/query/llm/oai/embedding.py index f40372dbce..006a9588b6 100644 --- a/graphrag/query/llm/oai/embedding.py +++ b/graphrag/query/llm/oai/embedding.py @@ -18,6 +18,7 @@ wait_exponential_jitter, ) +from graphrag.logging.base import StatusLogger from graphrag.query.llm.base import BaseTextEmbedding from graphrag.query.llm.oai.base import OpenAILLMImpl from graphrag.query.llm.oai.typing import ( @@ -25,7 +26,6 @@ OpenaiApiType, ) from graphrag.query.llm.text_utils import chunk_text -from graphrag.query.progress import StatusReporter class OpenAIEmbedding(BaseTextEmbedding, OpenAILLMImpl): @@ -46,7 +46,7 @@ def __init__( max_retries: int = 10, request_timeout: float = 180.0, retry_error_types: tuple[type[BaseException]] = OPENAI_RETRY_ERROR_TYPES, # type: ignore - reporter: StatusReporter | None = None, + reporter: StatusLogger | None = None, ): OpenAILLMImpl.__init__( self=self, diff --git a/graphrag/query/llm/oai/typing.py b/graphrag/query/llm/oai/typing.py index 399a82f699..f8bd2d702e 100644 --- a/graphrag/query/llm/oai/typing.py +++ b/graphrag/query/llm/oai/typing.py @@ -6,12 +6,16 @@ from enum import Enum from typing import Any, cast +import httpx import openai OPENAI_RETRY_ERROR_TYPES = ( # TODO: update these when we update to OpenAI 1+ library cast(Any, openai).RateLimitError, cast(Any, openai).APIConnectionError, + cast(Any, openai).APIError, + cast(Any, httpx).RemoteProtocolError, + cast(Any, httpx).ReadTimeout, # TODO: replace with comparable OpenAI 1+ error ) diff --git a/graphrag/query/llm/text_utils.py b/graphrag/query/llm/text_utils.py index d60e630488..c9c6fbc5ac 100644 --- a/graphrag/query/llm/text_utils.py +++ b/graphrag/query/llm/text_utils.py @@ -39,4 +39,4 @@ def chunk_text( token_encoder = tiktoken.get_encoding("cl100k_base") tokens = token_encoder.encode(text) # type: ignore chunk_iterator = batched(iter(tokens), max_tokens) - yield from chunk_iterator + yield from (token_encoder.decode(list(chunk)) for chunk in chunk_iterator) diff --git a/graphrag/query/question_gen/local_gen.py b/graphrag/query/question_gen/local_gen.py index ca703a66e3..5372d4cf43 100644 --- a/graphrag/query/question_gen/local_gen.py +++ b/graphrag/query/question_gen/local_gen.py @@ -9,6 +9,7 @@ import tiktoken +from graphrag.prompts.query.question_gen_system_prompt import QUESTION_SYSTEM_PROMPT from graphrag.query.context_builder.builders import LocalContextBuilder from graphrag.query.context_builder.conversation_history import ( ConversationHistory, @@ -16,7 +17,6 @@ from graphrag.query.llm.base import BaseLLM, BaseLLMCallback from graphrag.query.llm.text_utils import num_tokens from graphrag.query.question_gen.base import BaseQuestionGen, QuestionResult -from graphrag.query.question_gen.system_prompt import QUESTION_SYSTEM_PROMPT log = logging.getLogger(__name__) diff --git a/graphrag/query/structured_search/base.py b/graphrag/query/structured_search/base.py index 6dd02485f8..2657462347 100644 --- a/graphrag/query/structured_search/base.py +++ b/graphrag/query/structured_search/base.py @@ -4,13 +4,15 @@ """Base classes for search algos.""" from abc import ABC, abstractmethod +from collections.abc import AsyncGenerator from dataclasses import dataclass -from typing import Any +from typing import Any, Generic, TypeVar import pandas as pd import tiktoken from graphrag.query.context_builder.builders import ( + DRIFTContextBuilder, GlobalContextBuilder, LocalContextBuilder, ) @@ -29,17 +31,26 @@ class SearchResult: # actual text strings that are in the context window, built from context_data context_text: str | list[str] | dict[str, str] completion_time: float + # total LLM calls and token usage llm_calls: int prompt_tokens: int + output_tokens: int + # breakdown of LLM calls and token usage + llm_calls_categories: dict[str, int] | None = None + prompt_tokens_categories: dict[str, int] | None = None + output_tokens_categories: dict[str, int] | None = None -class BaseSearch(ABC): +T = TypeVar("T", GlobalContextBuilder, LocalContextBuilder, DRIFTContextBuilder) + + +class BaseSearch(ABC, Generic[T]): """The Base Search implementation.""" def __init__( self, llm: BaseLLM, - context_builder: GlobalContextBuilder | LocalContextBuilder, + context_builder: T, token_encoder: tiktoken.Encoding | None = None, llm_params: dict[str, Any] | None = None, context_builder_params: dict[str, Any] | None = None, @@ -67,3 +78,11 @@ async def asearch( **kwargs, ) -> SearchResult: """Search for the given query asynchronously.""" + + @abstractmethod + def astream_search( + self, + query: str, + conversation_history: ConversationHistory | None = None, + ) -> AsyncGenerator[str, None] | None: + """Stream search for the given query.""" diff --git a/graphrag/query/structured_search/drift_search/__init__.py b/graphrag/query/structured_search/drift_search/__init__.py new file mode 100644 index 0000000000..fe58251741 --- /dev/null +++ b/graphrag/query/structured_search/drift_search/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""DriftSearch module.""" diff --git a/graphrag/query/structured_search/drift_search/action.py b/graphrag/query/structured_search/drift_search/action.py new file mode 100644 index 0000000000..2a4a8bbaf6 --- /dev/null +++ b/graphrag/query/structured_search/drift_search/action.py @@ -0,0 +1,240 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""DRIFT Search Query State.""" + +import json +import logging +from typing import Any + +log = logging.getLogger(__name__) + + +class DriftAction: + """ + Represent an action containing a query, answer, score, and follow-up actions. + + This class encapsulates action strings produced by the LLM in a structured way. + """ + + def __init__( + self, + query: str, + answer: str | None = None, + follow_ups: list["DriftAction"] | None = None, + ): + """ + Initialize the DriftAction with a query, optional answer, and follow-up actions. + + Args: + query (str): The query for the action. + answer (Optional[str]): The answer to the query, if available. + follow_ups (Optional[list[DriftAction]]): A list of follow-up actions. + """ + self.query = query + self.answer: str | None = answer # Corresponds to an 'intermediate_answer' + self.score: float | None = None + self.follow_ups: list[DriftAction] = ( + follow_ups if follow_ups is not None else [] + ) + self.metadata: dict[str, Any] = { + "llm_calls": 0, + "prompt_tokens": 0, + "output_tokens": 0, + } + + @property + def is_complete(self) -> bool: + """Check if the action is complete (i.e., an answer is available).""" + return self.answer is not None + + async def asearch(self, search_engine: Any, global_query: str, scorer: Any = None): + """ + Execute an asynchronous search using the search engine, and update the action with the results. + + If a scorer is provided, compute the score for the action. + + Args: + search_engine (Any): The search engine to execute the query. + global_query (str): The global query string. + scorer (Any, optional): Scorer to compute scores for the action. + + Returns + ------- + self : DriftAction + Updated action with search results. + """ + if self.is_complete: + log.warning("Action already complete. Skipping search.") + return self + + search_result = await search_engine.asearch( + drift_query=global_query, query=self.query + ) + + try: + response = json.loads(search_result.response) + except json.JSONDecodeError: + error_message = "Failed to parse search response" + log.exception("%s: %s", error_message, search_result.response) + # Do not launch exception as it will roll up with other steps + # Instead return an empty response and let score -inf handle it + response = {} + + self.answer = response.pop("response", None) + self.score = response.pop("score", float("-inf")) + self.metadata.update({"context_data": search_result.context_data}) + + if self.answer is None: + log.warning("No answer found for query: %s", self.query) + + self.metadata["llm_calls"] += 1 + self.metadata["prompt_tokens"] += search_result.prompt_tokens + self.metadata["output_tokens"] += search_result.output_tokens + + self.follow_ups = response.pop("follow_up_queries", []) + if not self.follow_ups: + log.warning("No follow-up actions found for response: %s", response) + + if scorer: + self.compute_score(scorer) + + return self + + def compute_score(self, scorer: Any): + """ + Compute the score for the action using the provided scorer. + + Args: + scorer (Any): The scorer to compute the score. + """ + score = scorer.compute_score(self.query, self.answer) + self.score = ( + score if score is not None else float("-inf") + ) # Default to -inf for sorting + + def serialize(self, include_follow_ups: bool = True) -> dict[str, Any]: + """ + Serialize the action to a dictionary. + + Args: + include_follow_ups (bool): Whether to include follow-up actions in the serialization. + + Returns + ------- + dict[str, Any] + Serialized action as a dictionary. + """ + data = { + "query": self.query, + "answer": self.answer, + "score": self.score, + "metadata": self.metadata, + } + if include_follow_ups: + data["follow_ups"] = [action.serialize() for action in self.follow_ups] + return data + + @classmethod + def deserialize(cls, data: dict[str, Any]) -> "DriftAction": + """ + Deserialize the action from a dictionary. + + Args: + data (dict[str, Any]): Serialized action data. + + Returns + ------- + DriftAction + A deserialized instance of DriftAction. + """ + # Ensure 'query' exists in the data, raise a ValueError if missing + query = data.get("query") + if query is None: + error_message = "Missing 'query' key in serialized data" + raise ValueError(error_message) + + # Initialize the DriftAction + action = cls(query) + action.answer = data.get("answer") + action.score = data.get("score") + action.metadata = data.get("metadata", {}) + + action.follow_ups = [ + cls.deserialize(fu_data) for fu_data in data.get("follow_up_queries", []) + ] + return action + + @classmethod + def from_primer_response( + cls, query: str, response: str | dict[str, Any] | list[dict[str, Any]] + ) -> "DriftAction": + """ + Create a DriftAction from a DRIFTPrimer response. + + Args: + query (str): The query string. + response (str | dict[str, Any] | list[dict[str, Any]]): Primer response data. + + Returns + ------- + DriftAction + A new instance of DriftAction based on the response. + + Raises + ------ + ValueError + If the response is not a dictionary or expected format. + """ + if isinstance(response, dict): + action = cls( + query, + follow_ups=response.get("follow_up_queries", []), + answer=response.get("intermediate_answer"), + ) + action.score = response.get("score") + return action + + # If response is a string, attempt to parse as JSON + if isinstance(response, str): + try: + parsed_response = json.loads(response) + if isinstance(parsed_response, dict): + return cls.from_primer_response(query, parsed_response) + error_message = "Parsed response must be a dictionary." + raise ValueError(error_message) + except json.JSONDecodeError as e: + error_message = f"Failed to parse response string: {e}. Parsed response must be a dictionary." + raise ValueError(error_message) from e + + error_message = f"Unsupported response type: {type(response).__name__}. Expected a dictionary or JSON string." + raise ValueError(error_message) + + def __hash__(self) -> int: + """ + Allow DriftAction objects to be hashable for use in networkx.MultiDiGraph. + + Assumes queries are unique. + + Returns + ------- + int + Hash based on the query. + """ + return hash(self.query) + + def __eq__(self, other: object) -> bool: + """ + Check equality based on the query string. + + Args: + other (Any): Another object to compare with. + + Returns + ------- + bool + True if the other object is a DriftAction with the same query, False otherwise. + """ + if not isinstance(other, DriftAction): + return False + return self.query == other.query diff --git a/graphrag/query/structured_search/drift_search/drift_context.py b/graphrag/query/structured_search/drift_search/drift_context.py new file mode 100644 index 0000000000..2ab19fc63b --- /dev/null +++ b/graphrag/query/structured_search/drift_search/drift_context.py @@ -0,0 +1,221 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""DRIFT Context Builder implementation.""" + +import logging +from dataclasses import asdict +from typing import Any + +import numpy as np +import pandas as pd +import tiktoken + +from graphrag.config.models.drift_search_config import DRIFTSearchConfig +from graphrag.model.community_report import CommunityReport +from graphrag.model.covariate import Covariate +from graphrag.model.entity import Entity +from graphrag.model.relationship import Relationship +from graphrag.model.text_unit import TextUnit +from graphrag.prompts.query.drift_search_system_prompt import ( + DRIFT_LOCAL_SYSTEM_PROMPT, +) +from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey +from graphrag.query.llm.base import BaseTextEmbedding +from graphrag.query.llm.oai.chat_openai import ChatOpenAI +from graphrag.query.structured_search.base import DRIFTContextBuilder +from graphrag.query.structured_search.drift_search.primer import PrimerQueryProcessor +from graphrag.query.structured_search.local_search.mixed_context import ( + LocalSearchMixedContext, +) +from graphrag.vector_stores.base import BaseVectorStore + +log = logging.getLogger(__name__) + + +class DRIFTSearchContextBuilder(DRIFTContextBuilder): + """Class representing the DRIFT Search Context Builder.""" + + def __init__( + self, + chat_llm: ChatOpenAI, + text_embedder: BaseTextEmbedding, + entities: list[Entity], + entity_text_embeddings: BaseVectorStore, + text_units: list[TextUnit] | None = None, + reports: list[CommunityReport] | None = None, + relationships: list[Relationship] | None = None, + covariates: dict[str, list[Covariate]] | None = None, + token_encoder: tiktoken.Encoding | None = None, + embedding_vectorstore_key: str = EntityVectorStoreKey.ID, + config: DRIFTSearchConfig | None = None, + local_system_prompt: str | None = None, + local_mixed_context: LocalSearchMixedContext | None = None, + ): + """Initialize the DRIFT search context builder with necessary components.""" + self.config = config or DRIFTSearchConfig() + self.chat_llm = chat_llm + self.text_embedder = text_embedder + self.token_encoder = token_encoder + self.local_system_prompt = local_system_prompt or DRIFT_LOCAL_SYSTEM_PROMPT + + self.entities = entities + self.entity_text_embeddings = entity_text_embeddings + self.reports = reports + self.text_units = text_units + self.relationships = relationships + self.covariates = covariates + self.embedding_vectorstore_key = embedding_vectorstore_key + + self.local_mixed_context = ( + local_mixed_context or self.init_local_context_builder() + ) + + def init_local_context_builder(self) -> LocalSearchMixedContext: + """ + Initialize the local search mixed context builder. + + Returns + ------- + LocalSearchMixedContext: Initialized local context. + """ + return LocalSearchMixedContext( + community_reports=self.reports, + text_units=self.text_units, + entities=self.entities, + relationships=self.relationships, + covariates=self.covariates, + entity_text_embeddings=self.entity_text_embeddings, + embedding_vectorstore_key=self.embedding_vectorstore_key, + text_embedder=self.text_embedder, + token_encoder=self.token_encoder, + ) + + @staticmethod + def convert_reports_to_df(reports: list[CommunityReport]) -> pd.DataFrame: + """ + Convert a list of CommunityReport objects to a pandas DataFrame. + + Args + ---- + reports : list[CommunityReport] + List of CommunityReport objects. + + Returns + ------- + pd.DataFrame: DataFrame with report data. + + Raises + ------ + ValueError: If some reports are missing full content or full content embeddings. + """ + report_df = pd.DataFrame([asdict(report) for report in reports]) + missing_content_error = "Some reports are missing full content." + missing_embedding_error = ( + "Some reports are missing full content embeddings. {missing} out of {total}" + ) + + if ( + "full_content" not in report_df.columns + or report_df["full_content"].isna().sum() > 0 + ): + raise ValueError(missing_content_error) + + if ( + "full_content_embedding" not in report_df.columns + or report_df["full_content_embedding"].isna().sum() > 0 + ): + raise ValueError( + missing_embedding_error.format( + missing=report_df["full_content_embedding"].isna().sum(), + total=len(report_df), + ) + ) + return report_df + + @staticmethod + def check_query_doc_encodings(query_embedding: Any, embedding: Any) -> bool: + """ + Check if the embeddings are compatible. + + Args + ---- + query_embedding : Any + Embedding of the query. + embedding : Any + Embedding to compare against. + + Returns + ------- + bool: True if embeddings match, otherwise False. + """ + return ( + query_embedding is not None + and embedding is not None + and isinstance(query_embedding, type(embedding)) + and len(query_embedding) == len(embedding) + and isinstance(query_embedding[0], type(embedding[0])) + ) + + def build_context( + self, query: str, **kwargs + ) -> tuple[pd.DataFrame, dict[str, int]]: + """ + Build DRIFT search context. + + Args + ---- + query : str + Search query string. + + Returns + ------- + pd.DataFrame: Top-k most similar documents. + dict[str, int]: Number of LLM calls, and prompts and output tokens. + + Raises + ------ + ValueError: If no community reports are available, or embeddings + are incompatible. + """ + if self.reports is None: + missing_reports_error = ( + "No community reports available. Please provide a list of reports." + ) + raise ValueError(missing_reports_error) + + query_processor = PrimerQueryProcessor( + chat_llm=self.chat_llm, + text_embedder=self.text_embedder, + token_encoder=self.token_encoder, + reports=self.reports, + ) + + query_embedding, token_ct = query_processor(query) + + report_df = self.convert_reports_to_df(self.reports) + + # Check compatibility between query embedding and document embeddings + if not self.check_query_doc_encodings( + query_embedding, report_df["full_content_embedding"].iloc[0] + ): + error_message = ( + "Query and document embeddings are not compatible. " + "Please ensure that the embeddings are of the same type and length." + ) + raise ValueError(error_message) + + # Vectorized cosine similarity computation + query_norm = np.linalg.norm(query_embedding) + document_norms = np.linalg.norm( + report_df["full_content_embedding"].to_list(), axis=1 + ) + dot_products = np.dot( + np.vstack(report_df["full_content_embedding"].to_list()), query_embedding + ) + report_df["similarity"] = dot_products / (document_norms * query_norm) + + # Sort by similarity and select top-k + top_k = report_df.nlargest(self.config.drift_k_followups, "similarity") + + return top_k.loc[:, ["short_id", "community_id", "full_content"]], token_ct diff --git a/graphrag/query/structured_search/drift_search/primer.py b/graphrag/query/structured_search/drift_search/primer.py new file mode 100644 index 0000000000..8f3895a25c --- /dev/null +++ b/graphrag/query/structured_search/drift_search/primer.py @@ -0,0 +1,204 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Primer for DRIFT search.""" + +import json +import logging +import secrets +import time + +import numpy as np +import pandas as pd +import tiktoken +from tqdm.asyncio import tqdm_asyncio + +from graphrag.config.models.drift_search_config import DRIFTSearchConfig +from graphrag.model.community_report import CommunityReport +from graphrag.prompts.query.drift_search_system_prompt import ( + DRIFT_PRIMER_PROMPT, +) +from graphrag.query.llm.base import BaseTextEmbedding +from graphrag.query.llm.oai.chat_openai import ChatOpenAI +from graphrag.query.llm.text_utils import num_tokens +from graphrag.query.structured_search.base import SearchResult + +log = logging.getLogger(__name__) + + +class PrimerQueryProcessor: + """Process the query by expanding it using community reports and generate follow-up actions.""" + + def __init__( + self, + chat_llm: ChatOpenAI, + text_embedder: BaseTextEmbedding, + reports: list[CommunityReport], + token_encoder: tiktoken.Encoding | None = None, + ): + """ + Initialize the PrimerQueryProcessor. + + Args: + chat_llm (ChatOpenAI): The language model used to process the query. + text_embedder (BaseTextEmbedding): The text embedding model. + reports (list[CommunityReport]): List of community reports. + token_encoder (tiktoken.Encoding, optional): Token encoder for token counting. + """ + self.chat_llm = chat_llm + self.text_embedder = text_embedder + self.token_encoder = token_encoder + self.reports = reports + + def expand_query(self, query: str) -> tuple[str, dict[str, int]]: + """ + Expand the query using a random community report template. + + Args: + query (str): The original search query. + + Returns + ------- + tuple[str, dict[str, int]]: Expanded query text and the number of tokens used. + """ + template = secrets.choice(self.reports).full_content # nosec S311 + + prompt = f"""Create a hypothetical answer to the following query: {query}\n\n + Format it to follow the structure of the template below:\n\n + {template}\n" + Ensure that the hypothetical answer does not reference new named entities that are not present in the original query.""" + + messages = [{"role": "user", "content": prompt}] + + text = self.chat_llm.generate(messages) + prompt_tokens = num_tokens(prompt, self.token_encoder) + output_tokens = num_tokens(text, self.token_encoder) + token_ct = { + "llm_calls": 1, + "prompt_tokens": prompt_tokens, + "output_tokens": output_tokens, + } + if text == "": + log.warning("Failed to generate expansion for query: %s", query) + return query, token_ct + return text, token_ct + + def __call__(self, query: str) -> tuple[list[float], dict[str, int]]: + """ + Call method to process the query, expand it, and embed the result. + + Args: + query (str): The search query. + + Returns + ------- + tuple[list[float], int]: List of embeddings for the expanded query and the token count. + """ + hyde_query, token_ct = self.expand_query(query) + log.info("Expanded query: %s", hyde_query) + return self.text_embedder.embed(hyde_query), token_ct + + +class DRIFTPrimer: + """Perform initial query decomposition using global guidance from information in community reports.""" + + def __init__( + self, + config: DRIFTSearchConfig, + chat_llm: ChatOpenAI, + token_encoder: tiktoken.Encoding | None = None, + ): + """ + Initialize the DRIFTPrimer. + + Args: + config (DRIFTSearchConfig): Configuration settings for DRIFT search. + chat_llm (ChatOpenAI): The language model used for searching. + token_encoder (tiktoken.Encoding, optional): Token encoder for managing tokens. + """ + self.llm = chat_llm + self.config = config + self.token_encoder = token_encoder + + async def decompose_query( + self, query: str, reports: pd.DataFrame + ) -> tuple[dict, dict[str, int]]: + """ + Decompose the query into subqueries based on the fetched global structures. + + Args: + query (str): The original search query. + reports (pd.DataFrame): DataFrame containing community reports. + + Returns + ------- + tuple[dict, int, int]: Parsed response and the number of prompt and output tokens used. + """ + community_reports = "\n\n".join(reports["full_content"].tolist()) + prompt = DRIFT_PRIMER_PROMPT.format( + query=query, community_reports=community_reports + ) + messages = [{"role": "user", "content": prompt}] + + response = await self.llm.agenerate( + messages, response_format={"type": "json_object"} + ) + + parsed_response = json.loads(response) + + token_ct = { + "llm_calls": 1, + "prompt_tokens": num_tokens(prompt, self.token_encoder), + "output_tokens": num_tokens(response, self.token_encoder), + } + + return parsed_response, token_ct + + async def asearch( + self, + query: str, + top_k_reports: pd.DataFrame, + ) -> SearchResult: + """ + Asynchronous search method that processes the query and returns a SearchResult. + + Args: + query (str): The search query. + top_k_reports (pd.DataFrame): DataFrame containing the top-k reports. + + Returns + ------- + SearchResult: The search result containing the response and context data. + """ + start_time = time.perf_counter() + report_folds = self.split_reports(top_k_reports) + tasks = [self.decompose_query(query, fold) for fold in report_folds] + results_with_tokens = await tqdm_asyncio.gather(*tasks, leave=False) + + completion_time = time.perf_counter() - start_time + + return SearchResult( + response=[response for response, _ in results_with_tokens], + context_data={"top_k_reports": top_k_reports}, + context_text=top_k_reports.to_json() or "", + completion_time=completion_time, + llm_calls=len(results_with_tokens), + prompt_tokens=sum(ct["prompt_tokens"] for _, ct in results_with_tokens), + output_tokens=sum(ct["output_tokens"] for _, ct in results_with_tokens), + ) + + def split_reports(self, reports: pd.DataFrame) -> list[pd.DataFrame]: + """ + Split the reports into folds, allowing for parallel processing. + + Args: + reports (pd.DataFrame): DataFrame of community reports. + + Returns + ------- + list[pd.DataFrame]: List of report folds. + """ + primer_folds = self.config.primer_folds or 1 # Ensure at least one fold + if primer_folds == 1: + return [reports] + return [pd.DataFrame(fold) for fold in np.array_split(reports, primer_folds)] diff --git a/graphrag/query/structured_search/drift_search/search.py b/graphrag/query/structured_search/drift_search/search.py new file mode 100644 index 0000000000..57ce4265b3 --- /dev/null +++ b/graphrag/query/structured_search/drift_search/search.py @@ -0,0 +1,299 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""DRIFT Search implementation.""" + +import logging +import time +from collections.abc import AsyncGenerator +from typing import Any + +import tiktoken +from tqdm.asyncio import tqdm_asyncio + +from graphrag.config.models.drift_search_config import DRIFTSearchConfig +from graphrag.query.context_builder.conversation_history import ConversationHistory +from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey +from graphrag.query.llm.oai.chat_openai import ChatOpenAI +from graphrag.query.structured_search.base import BaseSearch, SearchResult +from graphrag.query.structured_search.drift_search.action import DriftAction +from graphrag.query.structured_search.drift_search.drift_context import ( + DRIFTSearchContextBuilder, +) +from graphrag.query.structured_search.drift_search.primer import DRIFTPrimer +from graphrag.query.structured_search.drift_search.state import QueryState +from graphrag.query.structured_search.local_search.search import LocalSearch + +log = logging.getLogger(__name__) + + +class DRIFTSearch(BaseSearch[DRIFTSearchContextBuilder]): + """Class representing a DRIFT Search.""" + + def __init__( + self, + llm: ChatOpenAI, + context_builder: DRIFTSearchContextBuilder, + config: DRIFTSearchConfig | None = None, + token_encoder: tiktoken.Encoding | None = None, + query_state: QueryState | None = None, + ): + """ + Initialize the DRIFTSearch class. + + Args: + llm (ChatOpenAI): The language model used for searching. + context_builder (DRIFTSearchContextBuilder): Builder for search context. + config (DRIFTSearchConfig, optional): Configuration settings for DRIFTSearch. + token_encoder (tiktoken.Encoding, optional): Token encoder for managing tokens. + query_state (QueryState, optional): State of the current search query. + """ + super().__init__(llm, context_builder, token_encoder) + + self.config = config or DRIFTSearchConfig() + self.context_builder = context_builder + self.token_encoder = token_encoder + self.query_state = query_state or QueryState() + self.primer = DRIFTPrimer( + config=self.config, chat_llm=llm, token_encoder=token_encoder + ) + self.local_search = self.init_local_search() + + def init_local_search(self) -> LocalSearch: + """ + Initialize the LocalSearch object with parameters based on the DRIFT search configuration. + + Returns + ------- + LocalSearch: An instance of the LocalSearch class with the configured parameters. + """ + local_context_params = { + "text_unit_prop": self.config.local_search_text_unit_prop, + "community_prop": self.config.local_search_community_prop, + "top_k_mapped_entities": self.config.local_search_top_k_mapped_entities, + "top_k_relationships": self.config.local_search_top_k_relationships, + "include_entity_rank": True, + "include_relationship_weight": True, + "include_community_rank": False, + "return_candidate_context": False, + "embedding_vectorstore_key": EntityVectorStoreKey.ID, + "max_tokens": self.config.local_search_max_data_tokens, + } + + llm_params = { + "max_tokens": self.config.local_search_llm_max_gen_tokens, + "temperature": self.config.local_search_temperature, + "response_format": {"type": "json_object"}, + } + + return LocalSearch( + llm=self.llm, + system_prompt=self.context_builder.local_system_prompt, + context_builder=self.context_builder.local_mixed_context, + token_encoder=self.token_encoder, + llm_params=llm_params, + context_builder_params=local_context_params, + response_type="multiple paragraphs", + ) + + def _process_primer_results( + self, query: str, search_results: SearchResult + ) -> DriftAction: + """ + Process the results from the primer search to extract intermediate answers and follow-up queries. + + Args: + query (str): The original search query. + search_results (SearchResult): The results from the primer search. + + Returns + ------- + DriftAction: Action generated from the primer response. + + Raises + ------ + RuntimeError: If no intermediate answers or follow-up queries are found in the primer response. + """ + response = search_results.response + if isinstance(response, list) and isinstance(response[0], dict): + intermediate_answers = [ + i["intermediate_answer"] for i in response if "intermediate_answer" in i + ] + + if not intermediate_answers: + error_msg = "No intermediate answers found in primer response. Ensure that the primer response includes intermediate answers." + raise RuntimeError(error_msg) + + intermediate_answer = "\n\n".join([ + i["intermediate_answer"] for i in response if "intermediate_answer" in i + ]) + + follow_ups = [fu for i in response for fu in i.get("follow_up_queries", [])] + + if not follow_ups: + error_msg = "No follow-up queries found in primer response. Ensure that the primer response includes follow-up queries." + raise RuntimeError(error_msg) + + score = sum(i.get("score", float("-inf")) for i in response) / len(response) + response_data = { + "intermediate_answer": intermediate_answer, + "follow_up_queries": follow_ups, + "score": score, + } + return DriftAction.from_primer_response(query, response_data) + error_msg = "Response must be a list of dictionaries." + raise ValueError(error_msg) + + async def asearch_step( + self, global_query: str, search_engine: LocalSearch, actions: list[DriftAction] + ) -> list[DriftAction]: + """ + Perform an asynchronous search step by executing each DriftAction asynchronously. + + Args: + global_query (str): The global query for the search. + search_engine (LocalSearch): The local search engine instance. + actions (list[DriftAction]): A list of actions to perform. + + Returns + ------- + list[DriftAction]: The results from executing the search actions asynchronously. + """ + tasks = [ + action.asearch(search_engine=search_engine, global_query=global_query) + for action in actions + ] + return await tqdm_asyncio.gather(*tasks, leave=False) + + async def asearch( + self, + query: str, + conversation_history: Any = None, + **kwargs, + ) -> SearchResult: + """ + Perform an asynchronous DRIFT search. + + Args: + query (str): The query to search for. + conversation_history (Any, optional): The conversation history, if any. + + Returns + ------- + SearchResult: The search result containing the response and context data. + + Raises + ------ + ValueError: If the query is empty. + """ + if query == "": + error_msg = "DRIFT Search query cannot be empty." + raise ValueError(error_msg) + + llm_calls, prompt_tokens, output_tokens = {}, {}, {} + + start_time = time.perf_counter() + + # Check if query state is empty + if not self.query_state.graph: + # Prime the search with the primer + primer_context, token_ct = self.context_builder.build_context(query) + llm_calls["build_context"] = token_ct["llm_calls"] + prompt_tokens["build_context"] = token_ct["prompt_tokens"] + output_tokens["build_context"] = token_ct["prompt_tokens"] + + primer_response = await self.primer.asearch( + query=query, top_k_reports=primer_context + ) + llm_calls["primer"] = primer_response.llm_calls + prompt_tokens["primer"] = primer_response.prompt_tokens + output_tokens["primer"] = primer_response.output_tokens + + # Package response into DriftAction + init_action = self._process_primer_results(query, primer_response) + self.query_state.add_action(init_action) + self.query_state.add_all_follow_ups(init_action, init_action.follow_ups) + + # Main loop + epochs = 0 + llm_call_offset = 0 + while epochs < self.config.n: + actions = self.query_state.rank_incomplete_actions() + if len(actions) == 0: + log.info("No more actions to take. Exiting DRIFT loop.") + break + actions = actions[: self.config.drift_k_followups] + llm_call_offset += len(actions) - self.config.drift_k_followups + # Process actions + results = await self.asearch_step( + global_query=query, search_engine=self.local_search, actions=actions + ) + + # Update query state + for action in results: + self.query_state.add_action(action) + self.query_state.add_all_follow_ups(action, action.follow_ups) + epochs += 1 + + t_elapsed = time.perf_counter() - start_time + + # Calculate token usage + token_ct = self.query_state.action_token_ct() + llm_calls["action"] = token_ct["llm_calls"] + prompt_tokens["action"] = token_ct["prompt_tokens"] + output_tokens["action"] = token_ct["output_tokens"] + + # Package up context data + response_state, context_data, context_text = self.query_state.serialize( + include_context=True + ) + + return SearchResult( + response=response_state, + context_data=context_data, + context_text=context_text, + completion_time=t_elapsed, + llm_calls=sum(llm_calls.values()), + prompt_tokens=sum(prompt_tokens.values()), + output_tokens=sum(output_tokens.values()), + llm_calls_categories=llm_calls, + prompt_tokens_categories=prompt_tokens, + output_tokens_categories=output_tokens, + ) + + def search( + self, + query: str, + conversation_history: Any = None, + **kwargs, + ) -> SearchResult: + """ + Perform a synchronous DRIFT search (Not Implemented). + + Args: + query (str): The query to search for. + conversation_history (Any, optional): The conversation history. + + Raises + ------ + NotImplementedError: Synchronous DRIFT is not implemented. + """ + error_msg = "Synchronous DRIFT is not implemented." + raise NotImplementedError(error_msg) + + def astream_search( + self, query: str, conversation_history: ConversationHistory | None = None + ) -> AsyncGenerator[str, None]: + """ + Perform a streaming DRIFT search (Not Implemented). + + Args: + query (str): The query to search for. + conversation_history (ConversationHistory, optional): The conversation history. + + Raises + ------ + NotImplementedError: Streaming DRIFT search is not implemented. + """ + error_msg = "Streaming DRIFT search is not implemented." + raise NotImplementedError(error_msg) diff --git a/graphrag/query/structured_search/drift_search/state.py b/graphrag/query/structured_search/drift_search/state.py new file mode 100644 index 0000000000..c454158f1b --- /dev/null +++ b/graphrag/query/structured_search/drift_search/state.py @@ -0,0 +1,150 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Manage the state of the DRIFT query, including a graph of actions.""" + +import logging +import random +from collections.abc import Callable +from typing import Any + +import networkx as nx + +from graphrag.query.structured_search.drift_search.action import DriftAction + +log = logging.getLogger(__name__) + + +class QueryState: + """Manage the state of the query, including a graph of actions.""" + + def __init__(self): + self.graph = nx.MultiDiGraph() + + def add_action(self, action: DriftAction, metadata: dict[str, Any] | None = None): + """Add an action to the graph with optional metadata.""" + self.graph.add_node(action, **(metadata or {})) + + def relate_actions( + self, parent: DriftAction, child: DriftAction, weight: float = 1.0 + ): + """Relate two actions in the graph.""" + self.graph.add_edge(parent, child, weight=weight) + + def add_all_follow_ups( + self, + action: DriftAction, + follow_ups: list[DriftAction] | list[str], + weight: float = 1.0, + ): + """Add all follow-up actions and links them to the given action.""" + if len(follow_ups) == 0: + log.warning("No follow-up actions for action: %s", action.query) + + for follow_up in follow_ups: + if isinstance(follow_up, str): + follow_up = DriftAction(query=follow_up) + elif not isinstance(follow_up, DriftAction): + log.warning( + "Follow-up action is not a string, found type: %s", type(follow_up) + ) + + self.add_action(follow_up) + self.relate_actions(action, follow_up, weight) + + def find_incomplete_actions(self) -> list[DriftAction]: + """Find all unanswered actions in the graph.""" + return [node for node in self.graph.nodes if not node.is_complete] + + def rank_incomplete_actions( + self, scorer: Callable[[DriftAction], float] | None = None + ) -> list[DriftAction]: + """Rank all unanswered actions in the graph if scorer available.""" + unanswered = self.find_incomplete_actions() + if scorer: + for node in unanswered: + node.compute_score(scorer) + return sorted( + unanswered, + key=lambda node: ( + node.score if node.score is not None else float("-inf") + ), + reverse=True, + ) + + # shuffle the list if no scorer + random.shuffle(unanswered) + return list(unanswered) + + def serialize( + self, include_context: bool = True + ) -> dict[str, Any] | tuple[dict[str, Any], dict[str, Any], str]: + """Serialize the graph to a dictionary, including nodes and edges.""" + # Create a mapping from nodes to unique IDs + node_to_id = {node: idx for idx, node in enumerate(self.graph.nodes())} + + # Serialize nodes + nodes: list[dict[str, Any]] = [ + { + **node.serialize(include_follow_ups=False), + "id": node_to_id[node], + **self.graph.nodes[node], + } + for node in self.graph.nodes() + ] + + # Serialize edges + edges: list[dict[str, Any]] = [ + { + "source": node_to_id[u], + "target": node_to_id[v], + "weight": edge_data.get("weight", 1.0), + } + for u, v, edge_data in self.graph.edges(data=True) + ] + + if include_context: + context_data = { + node["query"]: node["metadata"]["context_data"] + for node in nodes + if node["metadata"].get("context_data") and node.get("query") + } + + context_text = str(context_data) + + return {"nodes": nodes, "edges": edges}, context_data, context_text + + return {"nodes": nodes, "edges": edges} + + def deserialize(self, data: dict[str, Any]): + """Deserialize the dictionary back to a graph.""" + self.graph.clear() + id_to_action = {} + + for node_data in data.get("nodes", []): + node_id = node_data.pop("id") + action = DriftAction.deserialize(node_data) + self.add_action(action) + id_to_action[node_id] = action + + for edge_data in data.get("edges", []): + source_id = edge_data["source"] + target_id = edge_data["target"] + weight = edge_data.get("weight", 1.0) + source_action = id_to_action.get(source_id) + target_action = id_to_action.get(target_id) + if source_action and target_action: + self.relate_actions(source_action, target_action, weight) + + def action_token_ct(self) -> dict[str, int]: + """Return the token count of the action.""" + llm_calls, prompt_tokens, output_tokens = 0, 0, 0 + for action in self.graph.nodes: + llm_calls += action.metadata["llm_calls"] + prompt_tokens += action.metadata["prompt_tokens"] + output_tokens += action.metadata["output_tokens"] + return { + "llm_calls": llm_calls, + "prompt_tokens": prompt_tokens, + "output_tokens": output_tokens, + } diff --git a/graphrag/query/structured_search/global_search/community_context.py b/graphrag/query/structured_search/global_search/community_context.py index d63320c85b..1bc17655bf 100644 --- a/graphrag/query/structured_search/global_search/community_context.py +++ b/graphrag/query/structured_search/global_search/community_context.py @@ -5,16 +5,21 @@ from typing import Any -import pandas as pd import tiktoken -from graphrag.model import CommunityReport, Entity +from graphrag.model.community import Community +from graphrag.model.community_report import CommunityReport +from graphrag.model.entity import Entity +from graphrag.query.context_builder.builders import ContextBuilderResult from graphrag.query.context_builder.community_context import ( build_community_context, ) from graphrag.query.context_builder.conversation_history import ( ConversationHistory, ) +from graphrag.query.context_builder.dynamic_community_selection import ( + DynamicCommunitySelection, +) from graphrag.query.structured_search.base import GlobalContextBuilder @@ -24,17 +29,32 @@ class GlobalCommunityContext(GlobalContextBuilder): def __init__( self, community_reports: list[CommunityReport], + communities: list[Community], entities: list[Entity] | None = None, token_encoder: tiktoken.Encoding | None = None, + dynamic_community_selection: bool = False, + dynamic_community_selection_kwargs: dict[str, Any] | None = None, random_state: int = 86, ): self.community_reports = community_reports self.entities = entities self.token_encoder = token_encoder + self.dynamic_community_selection = None + if dynamic_community_selection and isinstance( + dynamic_community_selection_kwargs, dict + ): + self.dynamic_community_selection = DynamicCommunitySelection( + community_reports=community_reports, + communities=communities, + llm=dynamic_community_selection_kwargs.pop("llm"), + token_encoder=dynamic_community_selection_kwargs.pop("token_encoder"), + **dynamic_community_selection_kwargs, + ) self.random_state = random_state - def build_context( + async def build_context( self, + query: str, conversation_history: ConversationHistory | None = None, use_community_summary: bool = True, column_delimiter: str = "|", @@ -50,10 +70,11 @@ def build_context( conversation_history_user_turns_only: bool = True, conversation_history_max_turns: int | None = 5, **kwargs: Any, - ) -> tuple[str | list[str], dict[str, pd.DataFrame]]: + ) -> ContextBuilderResult: """Prepare batches of community report data table as context data for global search.""" conversation_history_context = "" final_context_data = {} + llm_calls, prompt_tokens, output_tokens = 0, 0, 0 if conversation_history: # build conversation history context ( @@ -69,8 +90,18 @@ def build_context( if conversation_history_context != "": final_context_data = conversation_history_context_data + community_reports = self.community_reports + if self.dynamic_community_selection is not None: + ( + community_reports, + dynamic_info, + ) = await self.dynamic_community_selection.select(query) + llm_calls += dynamic_info["llm_calls"] + prompt_tokens += dynamic_info["prompt_tokens"] + output_tokens += dynamic_info["output_tokens"] + community_context, community_context_data = build_community_context( - community_reports=self.community_reports, + community_reports=community_reports, entities=self.entities, token_encoder=self.token_encoder, use_community_summary=use_community_summary, @@ -87,13 +118,27 @@ def build_context( context_name=context_name, random_state=self.random_state, ) - if isinstance(community_context, list): - final_context = [ - f"{conversation_history_context}\n\n{context}" - for context in community_context - ] - else: - final_context = f"{conversation_history_context}\n\n{community_context}" + # Prepare context_prefix based on whether conversation_history_context exists + context_prefix = ( + f"{conversation_history_context}\n\n" + if conversation_history_context + else "" + ) + + final_context = ( + [f"{context_prefix}{context}" for context in community_context] + if isinstance(community_context, list) + else f"{context_prefix}{community_context}" + ) + + # Update the final context data with the provided community_context_data final_context_data.update(community_context_data) - return (final_context, final_context_data) + + return ContextBuilderResult( + context_chunks=final_context, + context_records=final_context_data, + llm_calls=llm_calls, + prompt_tokens=prompt_tokens, + output_tokens=output_tokens, + ) diff --git a/graphrag/query/structured_search/global_search/search.py b/graphrag/query/structured_search/global_search/search.py index 3b52ecbd8c..6202603dfd 100644 --- a/graphrag/query/structured_search/global_search/search.py +++ b/graphrag/query/structured_search/global_search/search.py @@ -7,13 +7,25 @@ import json import logging import time +from collections.abc import AsyncGenerator from dataclasses import dataclass from typing import Any import pandas as pd import tiktoken -from graphrag.index.utils.json import clean_up_json +from graphrag.callbacks.global_search_callbacks import GlobalSearchLLMCallback +from graphrag.llm.openai.utils import try_parse_json_object +from graphrag.prompts.query.global_search_knowledge_system_prompt import ( + GENERAL_KNOWLEDGE_INSTRUCTION, +) +from graphrag.prompts.query.global_search_map_system_prompt import ( + MAP_SYSTEM_PROMPT, +) +from graphrag.prompts.query.global_search_reduce_system_prompt import ( + NO_DATA_ANSWER, + REDUCE_SYSTEM_PROMPT, +) from graphrag.query.context_builder.builders import GlobalContextBuilder from graphrag.query.context_builder.conversation_history import ( ConversationHistory, @@ -21,17 +33,6 @@ from graphrag.query.llm.base import BaseLLM from graphrag.query.llm.text_utils import num_tokens from graphrag.query.structured_search.base import BaseSearch, SearchResult -from graphrag.query.structured_search.global_search.callbacks import ( - GlobalSearchLLMCallback, -) -from graphrag.query.structured_search.global_search.map_system_prompt import ( - MAP_SYSTEM_PROMPT, -) -from graphrag.query.structured_search.global_search.reduce_system_prompt import ( - GENERAL_KNOWLEDGE_INSTRUCTION, - NO_DATA_ANSWER, - REDUCE_SYSTEM_PROMPT, -) DEFAULT_MAP_LLM_PARAMS = { "max_tokens": 1000, @@ -46,7 +47,7 @@ log = logging.getLogger(__name__) -@dataclass +@dataclass(kw_only=True) class GlobalSearchResult(SearchResult): """A GlobalSearch result.""" @@ -55,7 +56,7 @@ class GlobalSearchResult(SearchResult): reduce_context_text: str | list[str] | dict[str, str] -class GlobalSearch(BaseSearch): +class GlobalSearch(BaseSearch[GlobalContextBuilder]): """Search orchestration for global search mode.""" def __init__( @@ -63,11 +64,11 @@ def __init__( llm: BaseLLM, context_builder: GlobalContextBuilder, token_encoder: tiktoken.Encoding | None = None, - map_system_prompt: str = MAP_SYSTEM_PROMPT, - reduce_system_prompt: str = REDUCE_SYSTEM_PROMPT, + map_system_prompt: str | None = None, + reduce_system_prompt: str | None = None, response_type: str = "multiple paragraphs", allow_general_knowledge: bool = False, - general_knowledge_inclusion_prompt: str = GENERAL_KNOWLEDGE_INSTRUCTION, + general_knowledge_inclusion_prompt: str | None = None, json_mode: bool = True, callbacks: list[GlobalSearchLLMCallback] | None = None, max_data_tokens: int = 8000, @@ -82,11 +83,13 @@ def __init__( token_encoder=token_encoder, context_builder_params=context_builder_params, ) - self.map_system_prompt = map_system_prompt - self.reduce_system_prompt = reduce_system_prompt + self.map_system_prompt = map_system_prompt or MAP_SYSTEM_PROMPT + self.reduce_system_prompt = reduce_system_prompt or REDUCE_SYSTEM_PROMPT self.response_type = response_type self.allow_general_knowledge = allow_general_knowledge - self.general_knowledge_inclusion_prompt = general_knowledge_inclusion_prompt + self.general_knowledge_inclusion_prompt = ( + general_knowledge_inclusion_prompt or GENERAL_KNOWLEDGE_INSTRUCTION + ) self.callbacks = callbacks self.max_data_tokens = max_data_tokens @@ -100,6 +103,38 @@ def __init__( self.semaphore = asyncio.Semaphore(concurrent_coroutines) + async def astream_search( + self, + query: str, + conversation_history: ConversationHistory | None = None, + ) -> AsyncGenerator: + """Stream the global search response.""" + context_result = await self.context_builder.build_context( + conversation_history=conversation_history, + **self.context_builder_params, + ) + if self.callbacks: + for callback in self.callbacks: + callback.on_map_response_start(context_result.context_chunks) # type: ignore + map_responses = await asyncio.gather(*[ + self._map_response_single_batch( + context_data=data, query=query, **self.map_llm_params + ) + for data in context_result.context_chunks + ]) + if self.callbacks: + for callback in self.callbacks: + callback.on_map_response_end(map_responses) # type: ignore + + # send context records first before sending the reduce response + yield context_result.context_records + async for response in self._stream_reduce_response( + map_responses=map_responses, # type: ignore + query=query, + **self.reduce_llm_params, + ): + yield response + async def asearch( self, query: str, @@ -115,25 +150,33 @@ async def asearch( - Step 2: Combine the answers from step 2 to generate the final answer """ # Step 1: Generate answers for each batch of community short summaries + llm_calls, prompt_tokens, output_tokens = {}, {}, {} + start_time = time.time() - context_chunks, context_records = self.context_builder.build_context( - conversation_history=conversation_history, **self.context_builder_params + context_result = await self.context_builder.build_context( + query=query, + conversation_history=conversation_history, + **self.context_builder_params, ) + llm_calls["build_context"] = context_result.llm_calls + prompt_tokens["build_context"] = context_result.prompt_tokens + output_tokens["build_context"] = context_result.output_tokens if self.callbacks: for callback in self.callbacks: - callback.on_map_response_start(context_chunks) # type: ignore + callback.on_map_response_start(context_result.context_chunks) # type: ignore map_responses = await asyncio.gather(*[ self._map_response_single_batch( context_data=data, query=query, **self.map_llm_params ) - for data in context_chunks + for data in context_result.context_chunks ]) if self.callbacks: for callback in self.callbacks: callback.on_map_response_end(map_responses) - map_llm_calls = sum(response.llm_calls for response in map_responses) - map_prompt_tokens = sum(response.prompt_tokens for response in map_responses) + llm_calls["map"] = sum(response.llm_calls for response in map_responses) + prompt_tokens["map"] = sum(response.prompt_tokens for response in map_responses) + output_tokens["map"] = sum(response.output_tokens for response in map_responses) # Step 2: Combine the intermediate answers from step 2 to generate the final answer reduce_response = await self._reduce_response( @@ -141,17 +184,24 @@ async def asearch( query=query, **self.reduce_llm_params, ) + llm_calls["reduce"] = reduce_response.llm_calls + prompt_tokens["reduce"] = reduce_response.prompt_tokens + output_tokens["reduce"] = reduce_response.output_tokens return GlobalSearchResult( response=reduce_response.response, - context_data=context_records, - context_text=context_chunks, + context_data=context_result.context_records, + context_text=context_result.context_chunks, map_responses=map_responses, reduce_context_data=reduce_response.context_data, reduce_context_text=reduce_response.context_text, completion_time=time.time() - start_time, - llm_calls=map_llm_calls + reduce_response.llm_calls, - prompt_tokens=map_prompt_tokens + reduce_response.prompt_tokens, + llm_calls=sum(llm_calls.values()), + prompt_tokens=sum(prompt_tokens.values()), + output_tokens=sum(output_tokens.values()), + llm_calls_categories=llm_calls, + prompt_tokens_categories=prompt_tokens, + output_tokens_categories=output_tokens, ) def search( @@ -187,14 +237,10 @@ async def _map_response_single_batch( # parse search response json processed_response = self.parse_search_response(search_response) except ValueError: - # Clean up and retry parse - search_response = clean_up_json(search_response) - try: - # parse search response json - processed_response = self.parse_search_response(search_response) - except ValueError: - log.exception("Error parsing search response json") - processed_response = [] + log.warning( + "Warning: Error parsing search response json - skipping this batch" + ) + processed_response = [] return SearchResult( response=processed_response, @@ -203,6 +249,7 @@ async def _map_response_single_batch( completion_time=time.time() - start_time, llm_calls=1, prompt_tokens=num_tokens(search_prompt, self.token_encoder), + output_tokens=num_tokens(search_response, self.token_encoder), ) except Exception: @@ -214,6 +261,7 @@ async def _map_response_single_batch( completion_time=time.time() - start_time, llm_calls=1, prompt_tokens=num_tokens(search_prompt, self.token_encoder), + output_tokens=0, ) def parse_search_response(self, search_response: str) -> list[dict[str, Any]]: @@ -229,13 +277,21 @@ def parse_search_response(self, search_response: str) -> list[dict[str, Any]]: list[dict[str, Any]] A list of key points, each key point is a dictionary with "answer" and "score" keys """ - parsed_elements = json.loads(search_response)["points"] + search_response, _j = try_parse_json_object(search_response) + if _j == {}: + return [{"answer": "", "score": 0}] + + parsed_elements = json.loads(search_response).get("points") + if not parsed_elements or not isinstance(parsed_elements, list): + return [{"answer": "", "score": 0}] + return [ { "answer": element["description"], "score": int(element["score"]), } for element in parsed_elements + if "description" in element and "score" in element ] async def _reduce_response( @@ -274,6 +330,9 @@ async def _reduce_response( if len(filtered_key_points) == 0 and not self.allow_general_knowledge: # return no data answer if no key points are found + log.warning( + "Warning: All map responses have score 0 (i.e., no relevant information found from the dataset), returning a canned 'I do not know' answer. You can try enabling `allow_general_knowledge` to encourage the LLM to incorporate relevant general knowledge, at the risk of increasing hallucinations." + ) return SearchResult( response=NO_DATA_ANSWER, context_data="", @@ -281,6 +340,7 @@ async def _reduce_response( completion_time=time.time() - start_time, llm_calls=0, prompt_tokens=0, + output_tokens=0, ) filtered_key_points = sorted( @@ -334,6 +394,7 @@ async def _reduce_response( completion_time=time.time() - start_time, llm_calls=1, prompt_tokens=num_tokens(search_prompt, self.token_encoder), + output_tokens=num_tokens(search_response, self.token_encoder), ) except Exception: log.exception("Exception in reduce_response") @@ -344,4 +405,83 @@ async def _reduce_response( completion_time=time.time() - start_time, llm_calls=1, prompt_tokens=num_tokens(search_prompt, self.token_encoder), + output_tokens=0, ) + + async def _stream_reduce_response( + self, + map_responses: list[SearchResult], + query: str, + **llm_kwargs, + ) -> AsyncGenerator[str, None]: + # collect all key points into a single list to prepare for sorting + key_points = [] + for index, response in enumerate(map_responses): + if not isinstance(response.response, list): + continue + for element in response.response: + if not isinstance(element, dict): + continue + if "answer" not in element or "score" not in element: + continue + key_points.append({ + "analyst": index, + "answer": element["answer"], + "score": element["score"], + }) + + # filter response with score = 0 and rank responses by descending order of score + filtered_key_points = [ + point + for point in key_points + if point["score"] > 0 # type: ignore + ] + + if len(filtered_key_points) == 0 and not self.allow_general_knowledge: + # return no data answer if no key points are found + log.warning( + "Warning: All map responses have score 0 (i.e., no relevant information found from the dataset), returning a canned 'I do not know' answer. You can try enabling `allow_general_knowledge` to encourage the LLM to incorporate relevant general knowledge, at the risk of increasing hallucinations." + ) + yield NO_DATA_ANSWER + return + + filtered_key_points = sorted( + filtered_key_points, + key=lambda x: x["score"], # type: ignore + reverse=True, # type: ignore + ) + + data = [] + total_tokens = 0 + for point in filtered_key_points: + formatted_response_data = [ + f'----Analyst {point["analyst"] + 1}----', + f'Importance Score: {point["score"]}', + point["answer"], + ] + formatted_response_text = "\n".join(formatted_response_data) + if ( + total_tokens + num_tokens(formatted_response_text, self.token_encoder) + > self.max_data_tokens + ): + break + data.append(formatted_response_text) + total_tokens += num_tokens(formatted_response_text, self.token_encoder) + text_data = "\n\n".join(data) + + search_prompt = self.reduce_system_prompt.format( + report_data=text_data, response_type=self.response_type + ) + if self.allow_general_knowledge: + search_prompt += "\n" + self.general_knowledge_inclusion_prompt + search_messages = [ + {"role": "system", "content": search_prompt}, + {"role": "user", "content": query}, + ] + + async for resp in self.llm.astream_generate( # type: ignore + search_messages, + callbacks=self.callbacks, # type: ignore + **llm_kwargs, # type: ignore + ): + yield resp diff --git a/graphrag/query/structured_search/local_search/mixed_context.py b/graphrag/query/structured_search/local_search/mixed_context.py index 117101e913..1dbf38e66b 100644 --- a/graphrag/query/structured_search/local_search/mixed_context.py +++ b/graphrag/query/structured_search/local_search/mixed_context.py @@ -3,18 +3,18 @@ """Algorithms to build context data for local search prompt.""" import logging +from copy import deepcopy from typing import Any import pandas as pd import tiktoken -from graphrag.model import ( - CommunityReport, - Covariate, - Entity, - Relationship, - TextUnit, -) +from graphrag.model.community_report import CommunityReport +from graphrag.model.covariate import Covariate +from graphrag.model.entity import Entity +from graphrag.model.relationship import Relationship +from graphrag.model.text_unit import TextUnit +from graphrag.query.context_builder.builders import ContextBuilderResult from graphrag.query.context_builder.community_context import ( build_community_context, ) @@ -42,7 +42,7 @@ from graphrag.query.llm.base import BaseTextEmbedding from graphrag.query.llm.text_utils import num_tokens from graphrag.query.structured_search.base import LocalContextBuilder -from graphrag.vector_stores import BaseVectorStore +from graphrag.vector_stores.base import BaseVectorStore log = logging.getLogger(__name__) @@ -112,7 +112,7 @@ def build_context( community_context_name: str = "Reports", column_delimiter: str = "|", **kwargs: dict[str, Any], - ) -> tuple[str | list[str], dict[str, pd.DataFrame]]: + ) -> ContextBuilderResult: """ Build data context for local search prompt. @@ -140,7 +140,7 @@ def build_context( query=query, text_embedding_vectorstore=self.entity_text_embeddings, text_embedder=self.text_embedder, - all_entities=list(self.entities.values()), + all_entities_dict=self.entities, embedding_vectorstore_key=self.embedding_vectorstore_key, include_entity_names=include_entity_names, exclude_entity_names=exclude_entity_names, @@ -205,18 +205,21 @@ def build_context( final_context.append(str(local_context)) final_context_data = {**final_context_data, **local_context_data} - # build text unit context text_unit_tokens = max(int(max_tokens * text_unit_prop), 0) text_unit_context, text_unit_context_data = self._build_text_unit_context( selected_entities=selected_entities, max_tokens=text_unit_tokens, return_candidate_context=return_candidate_context, ) + if text_unit_context.strip() != "": final_context.append(text_unit_context) final_context_data = {**final_context_data, **text_unit_context_data} - return ("\n\n".join(final_context), final_context_data) + return ContextBuilderResult( + context_chunks="\n\n".join(final_context), + context_records=final_context_data, + ) def _build_community_context( self, @@ -309,42 +312,34 @@ def _build_text_unit_context( context_name: str = "Sources", ) -> tuple[str, dict[str, pd.DataFrame]]: """Rank matching text units and add them to the context window until it hits the max_tokens limit.""" - if len(selected_entities) == 0 or len(self.text_units) == 0: + if not selected_entities or not self.text_units: return ("", {context_name.lower(): pd.DataFrame()}) + selected_text_units = [] + text_unit_ids_set = set() + + unit_info_list = [] + relationship_values = list(self.relationships.values()) - selected_text_units = list[TextUnit]() - # for each matching text unit, rank first by the order of the entities that match it, then by the number of matching relationships - # that the text unit has with the matching entities for index, entity in enumerate(selected_entities): - if entity.text_unit_ids: - for text_id in entity.text_unit_ids: - if ( - text_id not in [unit.id for unit in selected_text_units] - and text_id in self.text_units - ): - selected_unit = self.text_units[text_id] - num_relationships = count_relationships( - selected_unit, entity, self.relationships - ) - if selected_unit.attributes is None: - selected_unit.attributes = {} - selected_unit.attributes["entity_order"] = index - selected_unit.attributes["num_relationships"] = ( - num_relationships - ) - selected_text_units.append(selected_unit) + # get matching relationships + entity_relationships = [ + rel + for rel in relationship_values + if rel.source == entity.title or rel.target == entity.title + ] + + for text_id in entity.text_unit_ids or []: + if text_id not in text_unit_ids_set and text_id in self.text_units: + selected_unit = deepcopy(self.text_units[text_id]) + num_relationships = count_relationships( + entity_relationships, selected_unit + ) + unit_info_list.append((selected_unit, index, num_relationships)) - # sort selected text units by ascending order of entity order and descending order of number of relationships - selected_text_units.sort( - key=lambda x: ( - x.attributes["entity_order"], # type: ignore - -x.attributes["num_relationships"], # type: ignore - ) - ) + # sort by entity_order and the number of relationships desc + unit_info_list.sort(key=lambda x: (x[1], -x[2])) - for unit in selected_text_units: - del unit.attributes["entity_order"] # type: ignore - del unit.attributes["num_relationships"] # type: ignore + selected_text_units = [unit[0] for unit in unit_info_list] context_text, context_data = build_text_unit_context( text_units=selected_text_units, @@ -362,8 +357,8 @@ def _build_text_unit_context( ) context_key = context_name.lower() if context_key not in context_data: + candidate_context_data["in_context"] = False context_data[context_key] = candidate_context_data - context_data[context_key]["in_context"] = False else: if ( "id" in candidate_context_data.columns @@ -371,12 +366,11 @@ def _build_text_unit_context( ): candidate_context_data["in_context"] = candidate_context_data[ "id" - ].isin( # cspell:disable-line - context_data[context_key]["id"] - ) + ].isin(context_data[context_key]["id"]) context_data[context_key] = candidate_context_data else: context_data[context_key]["in_context"] = True + return (str(context_text), context_data) def _build_local_context( @@ -490,7 +484,6 @@ def _build_local_context( final_context_data[key] = candidate_df else: final_context_data[key]["in_context"] = True - else: for key in final_context_data: final_context_data[key]["in_context"] = True diff --git a/graphrag/query/structured_search/local_search/search.py b/graphrag/query/structured_search/local_search/search.py index 80dd667004..1e29bde759 100644 --- a/graphrag/query/structured_search/local_search/search.py +++ b/graphrag/query/structured_search/local_search/search.py @@ -5,10 +5,14 @@ import logging import time +from collections.abc import AsyncGenerator from typing import Any import tiktoken +from graphrag.prompts.query.local_search_system_prompt import ( + LOCAL_SEARCH_SYSTEM_PROMPT, +) from graphrag.query.context_builder.builders import LocalContextBuilder from graphrag.query.context_builder.conversation_history import ( ConversationHistory, @@ -16,9 +20,6 @@ from graphrag.query.llm.base import BaseLLM, BaseLLMCallback from graphrag.query.llm.text_utils import num_tokens from graphrag.query.structured_search.base import BaseSearch, SearchResult -from graphrag.query.structured_search.local_search.system_prompt import ( - LOCAL_SEARCH_SYSTEM_PROMPT, -) DEFAULT_LLM_PARAMS = { "max_tokens": 1500, @@ -28,7 +29,7 @@ log = logging.getLogger(__name__) -class LocalSearch(BaseSearch): +class LocalSearch(BaseSearch[LocalContextBuilder]): """Search orchestration for local search mode.""" def __init__( @@ -36,7 +37,7 @@ def __init__( llm: BaseLLM, context_builder: LocalContextBuilder, token_encoder: tiktoken.Encoding | None = None, - system_prompt: str = LOCAL_SEARCH_SYSTEM_PROMPT, + system_prompt: str | None = None, response_type: str = "multiple paragraphs", callbacks: list[BaseLLMCallback] | None = None, llm_params: dict[str, Any] = DEFAULT_LLM_PARAMS, @@ -49,7 +50,7 @@ def __init__( llm_params=llm_params, context_builder_params=context_builder_params or {}, ) - self.system_prompt = system_prompt + self.system_prompt = system_prompt or LOCAL_SEARCH_SYSTEM_PROMPT self.callbacks = callbacks self.response_type = response_type @@ -62,18 +63,31 @@ async def asearch( """Build local search context that fits a single context window and generate answer for the user query.""" start_time = time.time() search_prompt = "" - - context_text, context_records = self.context_builder.build_context( + llm_calls, prompt_tokens, output_tokens = {}, {}, {} + context_result = self.context_builder.build_context( query=query, conversation_history=conversation_history, **kwargs, **self.context_builder_params, ) + llm_calls["build_context"] = context_result.llm_calls + prompt_tokens["build_context"] = context_result.prompt_tokens + output_tokens["build_context"] = context_result.output_tokens + log.info("GENERATE ANSWER: %s. QUERY: %s", start_time, query) try: - search_prompt = self.system_prompt.format( - context_data=context_text, response_type=self.response_type - ) + if "drift_query" in kwargs: + drift_query = kwargs["drift_query"] + search_prompt = self.system_prompt.format( + context_data=context_result.context_chunks, + response_type=self.response_type, + global_query=drift_query, + ) + else: + search_prompt = self.system_prompt.format( + context_data=context_result.context_chunks, + response_type=self.response_type, + ) search_messages = [ {"role": "system", "content": search_prompt}, {"role": "user", "content": query}, @@ -85,27 +99,66 @@ async def asearch( callbacks=self.callbacks, **self.llm_params, ) + llm_calls["response"] = 1 + prompt_tokens["response"] = num_tokens(search_prompt, self.token_encoder) + output_tokens["response"] = num_tokens(response, self.token_encoder) return SearchResult( response=response, - context_data=context_records, - context_text=context_text, + context_data=context_result.context_records, + context_text=context_result.context_chunks, completion_time=time.time() - start_time, - llm_calls=1, - prompt_tokens=num_tokens(search_prompt, self.token_encoder), + llm_calls=sum(llm_calls.values()), + prompt_tokens=sum(prompt_tokens.values()), + output_tokens=sum(output_tokens.values()), + llm_calls_categories=llm_calls, + prompt_tokens_categories=prompt_tokens, + output_tokens_categories=output_tokens, ) except Exception: log.exception("Exception in _asearch") return SearchResult( response="", - context_data=context_records, - context_text=context_text, + context_data=context_result.context_records, + context_text=context_result.context_chunks, completion_time=time.time() - start_time, llm_calls=1, prompt_tokens=num_tokens(search_prompt, self.token_encoder), + output_tokens=0, ) + async def astream_search( + self, + query: str, + conversation_history: ConversationHistory | None = None, + ) -> AsyncGenerator: + """Build local search context that fits a single context window and generate answer for the user query.""" + start_time = time.time() + + context_result = self.context_builder.build_context( + query=query, + conversation_history=conversation_history, + **self.context_builder_params, + ) + log.info("GENERATE ANSWER: %s. QUERY: %s", start_time, query) + search_prompt = self.system_prompt.format( + context_data=context_result.context_chunks, response_type=self.response_type + ) + search_messages = [ + {"role": "system", "content": search_prompt}, + {"role": "user", "content": query}, + ] + + # send context records first before sending the reduce response + yield context_result.context_records + async for response in self.llm.astream_generate( # type: ignore + messages=search_messages, + callbacks=self.callbacks, + **self.llm_params, + ): + yield response + def search( self, query: str, @@ -115,16 +168,22 @@ def search( """Build local search context that fits a single context window and generate answer for the user question.""" start_time = time.time() search_prompt = "" - context_text, context_records = self.context_builder.build_context( + llm_calls, prompt_tokens, output_tokens = {}, {}, {} + context_result = self.context_builder.build_context( query=query, conversation_history=conversation_history, **kwargs, **self.context_builder_params, ) + llm_calls["build_context"] = context_result.llm_calls + prompt_tokens["build_context"] = context_result.prompt_tokens + output_tokens["build_context"] = context_result.output_tokens + log.info("GENERATE ANSWER: %d. QUERY: %s", start_time, query) try: search_prompt = self.system_prompt.format( - context_data=context_text, response_type=self.response_type + context_data=context_result.context_chunks, + response_type=self.response_type, ) search_messages = [ {"role": "system", "content": search_prompt}, @@ -137,23 +196,31 @@ def search( callbacks=self.callbacks, **self.llm_params, ) + llm_calls["response"] = 1 + prompt_tokens["response"] = num_tokens(search_prompt, self.token_encoder) + output_tokens["response"] = num_tokens(response, self.token_encoder) return SearchResult( response=response, - context_data=context_records, - context_text=context_text, + context_data=context_result.context_records, + context_text=context_result.context_chunks, completion_time=time.time() - start_time, - llm_calls=1, - prompt_tokens=num_tokens(search_prompt, self.token_encoder), + llm_calls=sum(llm_calls.values()), + prompt_tokens=sum(prompt_tokens.values()), + output_tokens=sum(output_tokens.values()), + llm_calls_categories=llm_calls, + prompt_tokens_categories=prompt_tokens, + output_tokens_categories=output_tokens, ) except Exception: log.exception("Exception in _map_response_single_batch") return SearchResult( response="", - context_data=context_records, - context_text=context_text, + context_data=context_result.context_records, + context_text=context_result.context_chunks, completion_time=time.time() - start_time, llm_calls=1, prompt_tokens=num_tokens(search_prompt, self.token_encoder), + output_tokens=0, ) diff --git a/graphrag/utils/__init__.py b/graphrag/utils/__init__.py new file mode 100644 index 0000000000..4d2f3e2a27 --- /dev/null +++ b/graphrag/utils/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Util functions for the GraphRAG run module.""" diff --git a/graphrag/utils/cli.py b/graphrag/utils/cli.py new file mode 100644 index 0000000000..5a9c16661a --- /dev/null +++ b/graphrag/utils/cli.py @@ -0,0 +1,54 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""CLI functions for the GraphRAG module.""" + +import argparse +import json +from pathlib import Path + + +def file_exist(path): + """Check for file existence.""" + if not Path(path).is_file(): + msg = f"File not found: {path}" + raise argparse.ArgumentTypeError(msg) + return path + + +def dir_exist(path): + """Check for directory existence.""" + if not Path(path).is_dir(): + msg = f"Directory not found: {path}" + raise argparse.ArgumentTypeError(msg) + return path + + +def redact(config: dict) -> str: + """Sanitize secrets in a config object.""" + + # Redact any sensitive configuration + def redact_dict(config: dict) -> dict: + if not isinstance(config, dict): + return config + + result = {} + for key, value in config.items(): + if key in { + "api_key", + "connection_string", + "container_name", + "organization", + }: + if value is not None: + result[key] = "==== REDACTED ====" + elif isinstance(value, dict): + result[key] = redact_dict(value) + elif isinstance(value, list): + result[key] = [redact_dict(i) for i in value] + else: + result[key] = value + return result + + redacted_dict = redact_dict(config) + return json.dumps(redacted_dict, indent=4) diff --git a/graphrag/utils/embeddings.py b/graphrag/utils/embeddings.py new file mode 100644 index 0000000000..1431c8b510 --- /dev/null +++ b/graphrag/utils/embeddings.py @@ -0,0 +1,25 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Utilities for working with embeddings stores.""" + +from graphrag.index.config.embeddings import all_embeddings + + +def create_collection_name( + container_name: str, embedding_name: str, validate: bool = True +) -> str: + """ + Create a collection name for the embedding store. + + Within any given vector store, we can have multiple sets of embeddings organized into projects. + The `container` param is used for this partitioning, and is added as a prefix to the collection name for differentiation. + + The embedding name is fixed, with the available list defined in graphrag.index.config.embeddings + + Note that we use dot notation in our names, but many vector stores do not support this - so we convert to dashes. + """ + if validate and embedding_name not in all_embeddings: + msg = f"Invalid embedding name: {embedding_name}" + raise KeyError(msg) + return f"{container_name}-{embedding_name}".replace(".", "-") diff --git a/graphrag/utils/storage.py b/graphrag/utils/storage.py new file mode 100644 index 0000000000..8b2e0ce2ed --- /dev/null +++ b/graphrag/utils/storage.py @@ -0,0 +1,53 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Storage functions for the GraphRAG run module.""" + +import logging +from io import BytesIO +from pathlib import Path + +import pandas as pd + +from graphrag.index.config.storage import ( + PipelineFileStorageConfig, + PipelineStorageConfigTypes, +) +from graphrag.index.storage.load_storage import load_storage +from graphrag.index.storage.pipeline_storage import PipelineStorage + +log = logging.getLogger(__name__) + + +def _create_storage( + config: PipelineStorageConfigTypes | None, root_dir: Path +) -> PipelineStorage: + """Create the storage for the pipeline. + + Parameters + ---------- + config : PipelineStorageConfigTypes + The storage configuration. + root_dir : str + The root directory. + + Returns + ------- + PipelineStorage + The pipeline storage. + """ + return load_storage( + config or PipelineFileStorageConfig(base_dir=str(root_dir / "output")) + ) + + +async def _load_table_from_storage(name: str, storage: PipelineStorage) -> pd.DataFrame: + if not await storage.has(name): + msg = f"Could not find {name} in storage!" + raise ValueError(msg) + try: + log.info("read table from storage: %s", name) + return pd.read_parquet(BytesIO(await storage.get(name, as_bytes=True))) + except Exception: + log.exception("error loading table from storage: %s", name) + raise diff --git a/graphrag/vector_stores/__init__.py b/graphrag/vector_stores/__init__.py index d4c11760aa..c1d54b741b 100644 --- a/graphrag/vector_stores/__init__.py +++ b/graphrag/vector_stores/__init__.py @@ -1,19 +1,4 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""A package containing vector-storage implementations.""" - -from .azure_ai_search import AzureAISearch -from .base import BaseVectorStore, VectorStoreDocument, VectorStoreSearchResult -from .lancedb import LanceDBVectorStore -from .typing import VectorStoreFactory, VectorStoreType - -__all__ = [ - "AzureAISearch", - "BaseVectorStore", - "LanceDBVectorStore", - "VectorStoreDocument", - "VectorStoreFactory", - "VectorStoreSearchResult", - "VectorStoreType", -] +"""A module containing vector storage implementations.""" diff --git a/graphrag/vector_stores/azure_ai_search.py b/graphrag/vector_stores/azure_ai_search.py index c503fca1c1..eebf2fa05e 100644 --- a/graphrag/vector_stores/azure_ai_search.py +++ b/graphrag/vector_stores/azure_ai_search.py @@ -25,8 +25,7 @@ from azure.search.documents.models import VectorizedQuery from graphrag.model.types import TextEmbedder - -from .base import ( +from graphrag.vector_stores.base import ( DEFAULT_VECTOR_SIZE, BaseVectorStore, VectorStoreDocument, @@ -35,15 +34,18 @@ class AzureAISearch(BaseVectorStore): - """The Azure AI Search vector storage implementation.""" + """Azure AI Search vector storage implementation.""" index_client: SearchIndexClient + def __init__(self, **kwargs: Any) -> None: + super().__init__(**kwargs) + def connect(self, **kwargs: Any) -> Any: - """Connect to the AzureAI vector store.""" - url = kwargs.get("url", None) - api_key = kwargs.get("api_key", None) - audience = kwargs.get("audience", None) + """Connect to AI search vector storage.""" + url = kwargs["url"] + api_key = kwargs.get("api_key") + audience = kwargs.get("audience") self.vector_size = kwargs.get("vector_size", DEFAULT_VECTOR_SIZE) self.vector_search_profile_name = kwargs.get( @@ -51,35 +53,35 @@ def connect(self, **kwargs: Any) -> Any: ) if url: - audience_arg = {"audience": audience} if audience else {} + audience_arg = {"audience": audience} if audience and not api_key else {} self.db_connection = SearchClient( endpoint=url, index_name=self.collection_name, - credential=AzureKeyCredential(api_key) - if api_key - else DefaultAzureCredential(), + credential=( + AzureKeyCredential(api_key) if api_key else DefaultAzureCredential() + ), **audience_arg, ) self.index_client = SearchIndexClient( endpoint=url, - credential=AzureKeyCredential(api_key) - if api_key - else DefaultAzureCredential(), + credential=( + AzureKeyCredential(api_key) if api_key else DefaultAzureCredential() + ), **audience_arg, ) else: - not_supported_error = "AAISearchDBClient is not supported on local host." + not_supported_error = "Azure AI Search expects `url`." raise ValueError(not_supported_error) def load_documents( self, documents: list[VectorStoreDocument], overwrite: bool = True ) -> None: - """Load documents into the Azure AI Search index.""" + """Load documents into an Azure AI Search index.""" if overwrite: if self.collection_name in self.index_client.list_index_names(): self.index_client.delete_index(self.collection_name) - # Configure the vector search profile + # Configure vector search profile vector_search = VectorSearch( algorithms=[ HnswAlgorithmConfiguration( @@ -96,7 +98,7 @@ def load_documents( ) ], ) - + # Configure the index index = SearchIndex( name=self.collection_name, fields=[ @@ -120,7 +122,6 @@ def load_documents( ], vector_search=vector_search, ) - self.index_client.create_or_update_index( index, ) @@ -136,7 +137,7 @@ def load_documents( if doc.vector is not None ] - if batch and len(batch) > 0: + if len(batch) > 0: self.db_connection.upload_documents(batch) def filter_by_id(self, include_ids: list[str] | list[int]) -> Any: @@ -192,3 +193,13 @@ def similarity_search_by_text( query_embedding=query_embedding, k=k ) return [] + + def search_by_id(self, id: str) -> VectorStoreDocument: + """Search for a document by id.""" + response = self.db_connection.get_document(id) + return VectorStoreDocument( + id=response.get("id", ""), + text=response.get("text", ""), + vector=response.get("vector", []), + attributes=(json.loads(response.get("attributes", "{}"))), + ) diff --git a/graphrag/vector_stores/base.py b/graphrag/vector_stores/base.py index 38f0e584fc..bb107aedc2 100644 --- a/graphrag/vector_stores/base.py +++ b/graphrag/vector_stores/base.py @@ -34,7 +34,7 @@ class VectorStoreSearchResult: """Document that was found.""" score: float - """Similarity score between 0 and 1. Higher is more similar.""" + """Similarity score between -1 and 1. Higher is more similar.""" class BaseVectorStore(ABC): @@ -79,3 +79,7 @@ def similarity_search_by_text( @abstractmethod def filter_by_id(self, include_ids: list[str] | list[int]) -> Any: """Build a query filter to filter documents by id.""" + + @abstractmethod + def search_by_id(self, id: str) -> VectorStoreDocument: + """Search for a document by id.""" diff --git a/graphrag/vector_stores/typing.py b/graphrag/vector_stores/factory.py similarity index 83% rename from graphrag/vector_stores/typing.py rename to graphrag/vector_stores/factory.py index 0b5a5cd195..174a5c98d0 100644 --- a/graphrag/vector_stores/typing.py +++ b/graphrag/vector_stores/factory.py @@ -1,13 +1,13 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""A package containing the supported vector store types.""" +"""A package containing a factory and supported vector store types.""" from enum import Enum from typing import ClassVar -from .azure_ai_search import AzureAISearch -from .lancedb import LanceDBVectorStore +from graphrag.vector_stores.azure_ai_search import AzureAISearch +from graphrag.vector_stores.lancedb import LanceDBVectorStore class VectorStoreType(str, Enum): @@ -18,7 +18,7 @@ class VectorStoreType(str, Enum): class VectorStoreFactory: - """A factory class for creating vector stores.""" + """A factory class for vector stores.""" vector_store_types: ClassVar[dict[str, type]] = {} diff --git a/graphrag/vector_stores/lancedb.py b/graphrag/vector_stores/lancedb.py index 0c9ea17f54..b334f4753b 100644 --- a/graphrag/vector_stores/lancedb.py +++ b/graphrag/vector_stores/lancedb.py @@ -3,28 +3,37 @@ """The LanceDB vector storage implementation package.""" -import lancedb as lancedb # noqa: I001 (Ruff was breaking on this file imports, even tho they were sorted and passed local tests) -from graphrag.model.types import TextEmbedder - -import json +import json # noqa: I001 from typing import Any import pyarrow as pa -from .base import ( +from graphrag.model.types import TextEmbedder + +from graphrag.vector_stores.base import ( BaseVectorStore, VectorStoreDocument, VectorStoreSearchResult, ) +import lancedb class LanceDBVectorStore(BaseVectorStore): - """The LanceDB vector storage implementation.""" + """LanceDB vector storage implementation.""" + + def __init__(self, **kwargs: Any) -> None: + super().__init__(**kwargs) def connect(self, **kwargs: Any) -> Any: """Connect to the vector storage.""" - db_uri = kwargs.get("db_uri", "./lancedb") - self.db_connection = lancedb.connect(db_uri) # type: ignore + self.db_connection = lancedb.connect(kwargs["db_uri"]) + if ( + self.collection_name + and self.collection_name in self.db_connection.table_names() + ): + self.document_collection = self.db_connection.open_table( + self.collection_name + ) def load_documents( self, documents: list[VectorStoreDocument], overwrite: bool = True @@ -50,6 +59,9 @@ def load_documents( pa.field("vector", pa.list_(pa.float64())), pa.field("attributes", pa.string()), ]) + # NOTE: If modifying the next section of code, ensure that the schema remains the same. + # The pyarrow format of the 'vector' field may change if the order of operations is changed + # and will break vector search. if overwrite: if data: self.document_collection = self.db_connection.create_table( @@ -87,14 +99,18 @@ def similarity_search_by_vector( """Perform a vector-based similarity search.""" if self.query_filter: docs = ( - self.document_collection.search(query=query_embedding) + self.document_collection.search( + query=query_embedding, vector_column_name="vector" + ) .where(self.query_filter, prefilter=True) .limit(k) .to_list() ) else: docs = ( - self.document_collection.search(query=query_embedding) + self.document_collection.search( + query=query_embedding, vector_column_name="vector" + ) .limit(k) .to_list() ) @@ -119,3 +135,19 @@ def similarity_search_by_text( if query_embedding: return self.similarity_search_by_vector(query_embedding, k) return [] + + def search_by_id(self, id: str) -> VectorStoreDocument: + """Search for a document by id.""" + doc = ( + self.document_collection.search() + .where(f"id == '{id}'", prefilter=True) + .to_list() + ) + if doc: + return VectorStoreDocument( + id=doc[0]["id"], + text=doc[0]["text"], + vector=doc[0]["vector"], + attributes=json.loads(doc[0]["attributes"]), + ) + return VectorStoreDocument(id=id, text=None, vector=None) diff --git a/mkdocs.yaml b/mkdocs.yaml new file mode 100644 index 0000000000..01e8a1e9e5 --- /dev/null +++ b/mkdocs.yaml @@ -0,0 +1,108 @@ +site_name: GraphRAG + +theme: + name: material + icon: + logo: octicons/ai-model-24 + palette: + - scheme: default + toggle: + icon: material/brightness-7 + name: Switch to dark mode + + - scheme: slate + toggle: + icon: material/brightness-4 + name: Switch to light mode + features: + - content.code.copy + - content.code.select + - navigation.footer + - navigation.tabs + +nav: + - Home: + - Welcome: index.md + - Getting Started: get_started.md + - Development Guide: developing.md + - Indexing: + - Overview: "index/overview.md" + - Architecture: "index/architecture.md" + - Dataflow: "index/default_dataflow.md" + - Outputs: "index/outputs.md" + - Prompt Tuning: + - Overview: "prompt_tuning/overview.md" + - Auto Tuning: "prompt_tuning/auto_prompt_tuning.md" + - Manual Tuning: "prompt_tuning/manual_prompt_tuning.md" + - Query: + - Overview: "query/overview.md" + - Global Search: "query/global_search.md" + - Local Search: "query/local_search.md" + - DRIFT Search: "query/drift_search.md" + - Question Generation: "query/question_generation.md" + - Notebooks: + - Overview: "query/notebooks/overview.md" + - Global Search: "examples_notebooks/global_search.ipynb" + - Local Search: "examples_notebooks/local_search.ipynb" + - DRIFT Search: "examples_notebooks/drift_search.ipynb" + - Configuration: + - Overview: "config/overview.md" + - Init Command: "config/init.md" + - Using YAML: "config/yaml.md" + - Using Env Vars: "config/env_vars.md" + - CLI: "cli.md" + - Extras: + - Microsoft Research Blog: "blog_posts.md" + - Visualization Guide: "visualization_guide.md" + - Operation Dulce: + - About: "data/operation_dulce/ABOUT.md" + - Document: "data/operation_dulce/Operation Dulce v2 1 1.md" +plugins: + - search + - exclude-search: + exclude: + - "data/operation_dulce/Operation Dulce v2 1 1.md" + exclude_unreferenced: true + - mkdocs-jupyter: + execute: true + +repo_url: https://github.com/microsoft/graphrag +repo_name: graphrag +copyright: > + © 2025 Microsoft |  + Privacy |  + Consumer Heath Privacy |  + Cookies |  + Terms of Use |  + Trademarks + +extra: + polyfills: + - "https://wcpstatic.microsoft.com/mscc/lib/v2/wcp-consent.js" + +extra_css: + - stylesheets/extra.css + +extra_javascript: + - "scripts/create_cookie_banner.js" + +markdown_extensions: + - pymdownx.highlight: + anchor_linenums: true + - pymdownx.superfences: + custom_fences: + - name: mermaid + class: mermaid + format: !!python/name:pymdownx.superfences.fence_code_format + - attr_list + - md_in_html + - pymdownx.emoji: + emoji_index: !!python/name:material.extensions.emoji.twemoji + emoji_generator: !!python/name:material.extensions.emoji.to_svg + - pymdownx.tabbed: + alternate_style: true + combine_header_slug: true + slugify: !!python/object/apply:pymdownx.slugs.slugify + kwds: + case: lower + - mkdocs-typer diff --git a/poetry.lock b/poetry.lock index 527bb8d047..47985d7218 100644 --- a/poetry.lock +++ b/poetry.lock @@ -35,13 +35,13 @@ files = [ [[package]] name = "anyio" -version = "4.4.0" +version = "4.6.2.post1" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"}, - {file = "anyio-4.4.0.tar.gz", hash = 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"https://github.com/microsoft/graphrag" + +[tool.poetry.scripts] +graphrag = "graphrag.cli.main:app" + [tool.poetry-dynamic-versioning] enable = true style = "pep440" @@ -42,94 +51,104 @@ datashaper = "^0.0.49" # Vector Stores azure-search-documents = "^11.4.0" -lancedb = "^0.10.0" - -# Event Loops -uvloop = { version = "^0.19.0", markers = "platform_system != 'Windows'" } -nest-asyncio = { version = "^1.6.0", markers = "platform_system == 'Windows'" } +lancedb = "^0.13.0" # Async IO aiolimiter = "^1.1.0" aiofiles = "^24.1.0" # LLM -openai = "^1.35.7" -nltk = "3.8.1" +openai = "^1.51.2" +nltk = "3.9.1" tiktoken = "^0.7.0" # Data-Sci -numba = "0.60.0" numpy = "^1.25.2" graspologic = "^3.4.1" networkx = "^3" -fastparquet = "^2024.2.0" -# 1.13.0 was a footgun -scipy = "1.12.0" +pandas = "^2.2.3" +matplotlib = "^3.9.0" +pyarrow = "^15.0.0" +umap-learn = "^0.5.6" # Configuration -pyyaml = "^6.0.1" +pyyaml = "^6.0.2" pyaml-env = "^1.2.1" python-dotenv = "^1.0.0" # Network -tenacity = "^8.5.0" +tenacity = "^9.0.0" -swifter = "^1.4.0" -pydantic = "^2" +pydantic = "^2.9.2" rich = "^13.6.0" -textual = "^0.72.0" devtools = "^0.12.2" - typing-extensions = "^4.12.2" #Azure -azure-storage-blob = "^12.19.0" +azure-storage-blob = "^12.22.0" azure-identity = "^1.17.1" +json-repair = "^0.30.0" + +future = "^1.0.0" # Needed until graspologic fixes their dependency +typer = "^0.12.5" + [tool.poetry.group.dev.dependencies] coverage = "^7.6.0" ipykernel = "^6.29.4" -jupyter = "^1.0.0" +jupyter = "^1.1.1" nbconvert = "^7.16.3" -poethepoet = "^0.26.0" -pyright = "^1.1.371" -pytest = "^8.2.0" -pytest-asyncio = "^0.23.4" +poethepoet = "^0.28.0" +pyright = "^1.1.384" +pytest = "^8.3.2" +pytest-asyncio = "^0.24.0" pytest-timeout = "^2.3.1" -ruff = "^0.5.2" +ruff = "^0.6.9" semversioner = "^2.0.3" - update-toml = "^0.2.1" +deptry = "^0.20.0" +mkdocs-material = "^9.5.39" +mkdocs-jupyter = "^0.25.0" +mkdocs-exclude-search = "^0.6.6" +mkdocs-typer = "^0.0.3" [build-system] requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning>=1.0.0,<2.0.0"] build-backend = "poetry_dynamic_versioning.backend" [tool.poe.tasks] -_sort_imports = "ruff check --select I --fix . --preview" -_format_code = "ruff format . --preview" -_ruff_check = 'ruff check . --preview' +_sort_imports = "ruff check --select I --fix ." +_format_code = "ruff format ." +_ruff_check = 'ruff check .' _pyright = "pyright" _convert_local_search_nb = 'jupyter nbconvert --output-dir=docsite/posts/query/notebooks/ --output="{notebook_name}_nb" --template=docsite/nbdocsite_template --to markdown examples_notebooks/local_search.ipynb' _convert_global_search_nb = 'jupyter nbconvert --output-dir=docsite/posts/query/notebooks/ --output="{notebook_name}_nb" --template=docsite/nbdocsite_template --to markdown examples_notebooks/global_search.ipynb' _semversioner_release = "semversioner release" _semversioner_changelog = "semversioner changelog > CHANGELOG.md" -_semversioner_update_toml_version = "update-toml update --path tool.poetry.version --value \"$(semversioner current-version)\" pyproject.toml" +_semversioner_update_toml_version = "update-toml update --path tool.poetry.version --value $(poetry run semversioner current-version)" +semversioner_add = "semversioner add-change" coverage_report = 'coverage report --omit "**/tests/**" --show-missing' -check_format = 'ruff format . --check --preview' -fix = "ruff --preview check --fix ." -fix_unsafe = "ruff check --preview --fix --unsafe-fixes ." +check_format = 'ruff format . --check' +fix = "ruff check --fix ." +fix_unsafe = "ruff check --fix --unsafe-fixes ." _test_all = "coverage run -m pytest ./tests" test_unit = "pytest ./tests/unit" test_integration = "pytest ./tests/integration" test_smoke = "pytest ./tests/smoke" -index = "python -m graphrag.index" -query = "python -m graphrag.query" -prompt_tune = "python -m graphrag.prompt_tune" +test_notebook = "pytest ./tests/notebook" +test_verbs = "pytest ./tests/verbs" +index = "python -m graphrag index" +update = "python -m graphrag update" +init = "python -m graphrag init" +query = "python -m graphrag query" +prompt_tune = "python -m graphrag prompt-tune" # Pass in a test pattern test_only = "pytest -s -k" +serve_docs = "mkdocs serve" +build_docs = "mkdocs build" + [[tool.poe.tasks.release]] sequence = [ '_semversioner_release', @@ -159,10 +178,12 @@ target-version = "py310" extend-include = ["*.ipynb"] [tool.ruff.format] +preview = true docstring-code-format = true docstring-code-line-length = 20 [tool.ruff.lint] +preview = true select = [ "E4", "E7", @@ -217,6 +238,8 @@ select = [ # ANN # Type annotations, re-enable when we get bandwidth ] ignore = [ + # Ignore module names shadowing Python builtins + "A005", # Deprecated Rules "ANN101", "ANN102", @@ -249,6 +272,6 @@ exclude = ["**/node_modules", "**/__pycache__"] [tool.pytest.ini_options] asyncio_mode = "auto" -timeout = 600 +timeout = 1000 # log_cli = true # log_cli_level = "INFO" diff --git a/scripts/e2e-test.sh b/scripts/e2e-test.sh deleted file mode 100755 index 5c260a148b..0000000000 --- a/scripts/e2e-test.sh +++ /dev/null @@ -1,4 +0,0 @@ -#!/bin/bash - -# Use CLI Form -poetry run python -m graphrag.index --config ./examples/single_verb/pipeline.yml \ No newline at end of file diff --git a/tests/fixtures/azure/input/dulce.txt b/tests/fixtures/azure/input/dulce.txt index 95c9e3cd3a..86975d38ad 100644 --- a/tests/fixtures/azure/input/dulce.txt +++ b/tests/fixtures/azure/input/dulce.txt @@ -182,789 +182,4 @@ As Sam and Alex nodded in unison, the icy chasm of hierarchy and cryptic protoco They filed out of the briefing room, their footsteps synchronized, a rhythm that spoke volumes of the unknown cadence they would soon march to within the base's veins. For Alex Mercer, the link with Sam Rivera, though distant, was now poised with a mutuality ready to be tested; for Taylor Cruz, the initiative pulsed like a heartbeat, anticipation thinly veiled behind a mask of duty. -In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce. - -## Chapter 4 - -The corridors of the Dulce military base were as silent as a tomb and twice as chilling. Alex Mercer walked with a surety that belied his bubbling undercurrents of doubt. The briefing had been definitive, sturdy pillars of facts and protocols, yet as he ventured deeper, the ominous atmosphere gnawed at him—a stark reminder of how much remained unknown. - -Jordan Hayes trailed a few steps behind, their detached exterior breaking for a moment as they caught up to Alex. "What's on your mind?" Jordan asked, their astuteness cutting through the unspoken tension. - -Alex glanced back at them. This place was a puzzle, a treacherous labyrinth where the walls whispered secrets, and among them, he sensed a call to question, to challenge the narrative they'd been sold. "The silence here... It's almost as if the base is waiting for something—or someone." - -"Just stay sharp, Mercer," Jordan cautioned, yet their eyes lingered on the quietude around them, conceiving the same shadow of doubt that unsettled Alex. - -Before they could delve into further discussion, the distinctive click of a safety catch echoed in the hollow space. Both agents turned to find Taylor Cruz standing resolute, primed for combat. Taylor's gaze was scrutinizing and cold, a stark contrast to the growing unease that smoldered silently amongst the rest. - -"Chatter is a liability," Taylor snapped, with a commanding flair that bordered on tyrannical. "We move forward, eyes open, mouths shut." - -Alex felt the tight grip of compliance strangle his gut, a lesson learned under the hard tutelage of rank and order. But here, in the bowels of Dulce, those instincts began to wane, the imperative to adhere now conflicting with the pressing urgency to confront the shadows they were enmeshed in. - -Then, unexpectedly, the lights flickered, a power fluctuation—or a sign? Alex's hand instinctively went to his sidearm, his mindset shifting from soldier to skeptic. The base, with its unyielding coldness, had just given them their first nudge into the realm of the speculative, an invitation to peel back the veneer of reality. - -"We should consider all possibilities," Alex murmured, more to himself than the others, his voice a barely audible breath against the sterile air of the complex. - -Taylor's posture stiffened at the challenge, yet their response was uncharacteristically reserved, notable in its lack of rebuke. "Agreed. For now, keep moving. But stay vigilant." - -A surprise—an echo of agreement from the last person Alex expected it from. And there it was, the glimpse of a wrinkle in the unyielding fabric of command, a hint that perhaps they were all starting to sense the strangeness that permeated this place. - -Progressing with determined steps, the trio moved deeper, silently acknowledging the evolution of their predicament. It was a small yet transformative concession to the unknown forces at play, an acknowledgment from each agent that, despite their disparate goals and ideals, the true nature of the Dulce base was an enigma that would forge new paths through their convictions. - -As they reached the central communications hub, the truth that awaited them lurked in the shadows, its eyes unseen but felt by all. The walls didn't just whisper now; they spoke in tones only the brave—or the foolish—would dare to listen to. - -\* - -The subterranean silence of Dulce was an oppressive entity of its own, wrapping the team in a cloak of uneasiness as they pressed on through the dimly lit corridor. Jordan Hayes found themselves contemplating the ramifications of each step taken into this suspended world, where the sterile air seemed to mock the gravity of their predicament. The closer they got to the communication hub, the more Jordan's mind wandered toward the realm of the inexplicable. - -Beside Jordan, Alex Mercer moved forward with deliberation, his gaze scanning the heavy utility doors they passed—one of which was partially ajar, beckoning them with its darkness. "After you, Dr. Hayes," Alex said, gesturing toward the mysterious opening. A hint of shared understanding passed between them; knowledge was the guiding star of this mission as much as confrontation or recovery. - -Jordan peered inside, the beam from their flashlight slicing through the obscurity. The room beyond was a chaotic cascade of papers, overturned furniture, and the particular kind of disorder born from hasty evacuation—or something far more sinister. - -"It's like they vanished in the middle of something urgent," Alex murmured, his voice tight with a mix of concern and anticipation. He began to sift through the scattered reports, each page a potential clue to the enigmatic silence that shrouded Dulce. - -Behind them, Taylor watched with a disciplined patience, their authority the foundation upon which the operation was built. Their voice cut into the stillness, a reminder of their presence, "Time is not our ally here." - -Drawing back from momentary distraction, Jordan acknowledged the wisdom in Taylor's words, yet could feel the shift in their stance—from skeptical, reserved analyst, to a proactive agent within the narrative. "You're right; these documents may hold critical insights. Let's collect what we can and analyze them properly." - -From the darkened hollows of the room, shadows seemed to cast subtle judgment as Alex and Jordan worked together with heightened urgency. Taylor, for once, didn't intervene but instead surveyed the entrance, their mind anticipating the unknown variables that lay ahead. - -Unexpectedly, a soft hiss emanated from a neglected terminal on the desk. Jordan's head snapped up, their heart rate accelerating at the potential ramifications. Without a word, they moved to the machine, hands driven by the newfound conviction that knowledge was more than power—it was survival. - -As Jordan began to extract what data they could from the terminal, the first comprehensible communication from the depths of Dulce in far too long crackled through: an automated distress marker, looping endlessly without further context. It was a revelation, one that reverberated through the group, confirming their fears and igniting an even greater need to press on. - -Watching Jordan's dogged determination, Alex witnessed the minor transformation in his colleague unfold—a shift from doubt to action, a sliver of belief in the possibilities beyond their rational understanding. This forge of resolve amidst the alien echoes of Dulce not only bonded them closer as a team but compelled them forward with a sharpened edge of responsibility to the truth, wherever it would lead. - -As they collected their findings and regrouped, the base around them imperceptibly changed, the air charged with the vibration of secrets poised on the brink of revelation. And in that charged silence, the group moved on, each now carrying pieces of a puzzle that would soon converge into a picture of galactic significance. - -\* - -In the chill of the cramped server room, the hum of machinery was the backbone to a symphony of data streams coursing through the air. Dr. Jordan Hayes, nerves alight with the mission's mounting unknowns, patched into the last known coordinates of the unsent distress broadcast they had uncovered. They were so close to the core now – to the truth behind the blackout – it was almost tangible. - -Beside them stood Agent Alex Mercer, ever the soldier, yet with eyes that betrayed an intellect craving to understand the murk beneath the surface. "Any progress, Dr. Hayes?" Alex queried, his voice betraying a subtle urgency. - -"Getting there," Jordan replied, fingers dancing across the keyboard. "Whoever sent this was cut off mid-transmission. It's as if Dulce itself swallowed the message whole." - -Taylor Cruz closed in, their frame casting a long shadow over the duo, evoking an almost palpable wall between them and the forward momentum of their mission. "Time is against us," Taylor intoned, more statement than threat. "What we uncover here determines our next course of action." - -Alex acknowledged Taylor with a brisk nod, his stance firm. Yet inwardly, the tightening grip he felt from Taylor's words couldn't throttle the swell of his own investigative instinct. His soldier's obedience had begun to war with the advocate's zeal for unveiling the dark heart of Dulce's secrets. - -And then, the unexpected occurred. The screens flashed in unison, spilling a discordant stream of symbols and images that defied immediate analysis. Jordan's breath caught – this was the response they had been fishing for, an alien communication protocol resonating just at the edge of human comprehension. - -Each member of the team felt it: a shift in the room’s very atmosphere, like a veil being drawn from their perception. Alex and Jordan stood still, absorbed in the bewilderment of contact, while Taylor, despite their authority, hesitated – a minor betrayal that unease was creeping into even their disciplined heart. - -"Thoughts, Rivera?" Taylor rallied, seeking the counsel of Sam Rivera, whose eyes were wide with exhilaration. - -Sam stepped forward, breaking the spell of stillness. "It's like nothing I've ever seen before, but I think I can bridge our systems to communicate," they declared, a wisp of optimism braiding their voice. They set about adapting their gear to transmute the foreign signals into something the team could dissect, their actions a testament to the mentorship and belief instilled in them by Mercer and the team. - -Taylor observed them, a cold calculation behind their facade, as they weighed the worth of this anomaly. It was a crossroad that potentially led to either monumental breakthrough or unprecedented catastrophe. "Once you've established a line, document everything. We can't afford to miss any detail," Taylor ordered, the words sharper than intended. - -The connection was made, and with trembling anticipation, the team listened as the first garbled outputs began to emerge, their very essence promising insights that could alter the course of history. It was an enigmatic dance with the unknown, the pulse of Dulce no longer just a place, but a herald to an alien register the team had yet to decipher. - -Together, they stood at the precipice of understanding, where the faint glow of their monitors cast more than just light – it cast the shadow of burgeoning transformation. It was in this moment, in the grasp of an extraterrestrial tongue, that the team, bound by a hunger for knowledge and the raw edge of survival, found their mission reframed from a search for answers to the articulation of a question humankind had yet to fully ask. - -Silent in their commune with the inexplicable frequency, they realized they were not merely investigators; they had become liaisons on behalf of Earth, interpreters of a cosmic message that could redefine their very existence. The implications loomed large, but now, they would not face them alone – they would face them as a united front, wrought together by the very mysteries that once drove them apart. - -## Chapter 5 - -Dr. Jordan Hayes clutched the edge of the briefing room table, their fingers white-knuckled against the laminate surface, as an array of constellations rotated on the projector—charts and graphs bleeding across the stars. In the dim room, nebulas and dark matter seemed within arm's reach, tangible yet unfathomable. - -Sam Rivera leaned back against the wall, arms crossed, gaze darting between the swirling cosmos and the faces of their companions. A taut line of concentration etched their young features, a mingling of fervent curiosity with the nascent understanding of the high stakes for which they played. - -Jordan's voice broke the profound silence. "The patterns in the signal disruptions sync with none other than zenithal star alignments. It's as if... as if these 'meet and greets' were scheduled, predestined by celestial mechanics." - -The statement hung heavy, daring the occupants of the room to unravel its implications. Alex Mercer, his prior military resolve momentarily suspended, absorbed the hypothesis with a visible hunger. "It's like we're adhering to an appointment we never knew we had," he murmured, his heart a drumbeat in his chest. - -Taylor Cruz snorted—a sound that clattered against the high concepts like a tumbledown shack in a futurist cityscape. Folding their arms, they glanced between the agents, their apprehension clad in the contempt of practicality. "What we need are facts, not mystic conjecture." - -Alex pivoted on his heel, facing Taylor squarely, and his voice found its edge of steel. "This isn't mysticism, Cruz. It's a hypothesis based on observed phenomena as unpredictable as the place we're standing in." - -Taylor's gaze never wavered, yet the slight twitch at the corner of their mouth belied their taut composure. "If there's a semblance of truth to it, then it's critical intel. But remember, we're not astrologers—we're soldiers and scientists." - -Jordan met Taylor’s gaze with a curt nod, accepting the caution even as the crucible of their intellect smoldered with the fervor of cosmic discovery. Their eyes flicked to Sam, whose steady presence and ready tech affirmed a burgeoning dynamic—the makings of a sentinel, standing guard over the threshold of human understanding and cosmic reality. - -With the projector casting pallid light over their features, each agent became a silhouette of purpose, shadows pillared against the backdrop of an endless universe. The story they were embroiled in would soon demand they plunge into darkness to retrieve the light of knowledge—a light that could very well redraw the shape of their world. - -They left the briefing room with a shared silence, each pondering the vast weave of celestial intent and terrestrial response, sensing that the galactic appointment to which they'd unwittingly RSVP’d was more insistent—and more threatening—than any operation they’d faced before. - -\* - -As the Paranormal Military Squad team convened in the heart of the Dulce military complex, an air of bristling expectation clung to the walls of the underground sanctum. Alex Mercer’s brow furrowed while watching his companions—Jordan Hayes, diligently setting up their makeshift lab station, and Sam Rivera meticulously checking the communication relays they had restored. Taylor Cruz observed with hawk-like focus, yet to betray the strain that their command posed on them. - -The gravity of the mission had shifted, deepened; each member of the team felt its pull, tethered to the understanding that they were now part of a larger narrative—a cosmic play with Earth as a stage and the human race unwitting actors. - -Jordan paused, a tension creeping across their shoulders as they aligned the satellite data with the alien message that had been decoded. "The instructions in this message," Jordan started, the timbre of their voice betraying their usual composure. "They're coordinates and... a warning." - -Sam leaned in, their eyes widening behind the glow of their laptop screen. "A warning? Like, ‘stay away from’, or ‘beware of’...?" Their words trailed off, uncertainty a new companion in their lexicon. - -Alex exhaled slowly, his mind racing to connect the dots. "It doesn't matter which," he said, decisive yet contemplative. "What matters is we understand intent. Are we being warned out of concern, or are we stumbling upon a threat?" - -Cruz’s iron-clad facade momentarily cracked, a fleeting glimpse of vulnerability flashing through their eyes. "We need to know if this entails additional risk to the operation," they said, directing their gaze specifically at Alex. "Mercer, I rely on you to keep the team grounded. No one goes off-course." - -Their reminder seemed both a command and a plea—rooted in an understanding that each member of the team now faced the duality of their roles, protectors of earthly secrets and heralds of potentially devastating revelations. - -Sam's fingers stilled mid-type, their task forgotten as they absorbed the weight of the unfolding reality. "We're the first line of defense... or detection," they mused half to themselves, a growing sense of agency within the larger play they were cast into. - -Jordan returned to the data, more resolute in their actions. The warning, whether cautionary or dire, was a beacon they no longer could ignore; its light casting aside shadows of doubt and igniting a collective purpose within the team. - -Alex watched Jordan and Sam, feeling a brotherhood in their shared quest. As Cruz paced, poised on the cusp of decisions that would mark their career and perhaps the fate of many, Alex knew the narrative had changed. They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve. - -Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril. - -Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer’s latter instincts gained precedence— the team’s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly hierarchies but by the pulsing symphony of the universe itself. - -\* - -The desert night loomed eerily still as echoes of hidden activity reverberated deep beneath the bleak sands of New Mexico. Diverting his gaze from the array of sensors before him, Jordan Hayes allowed a rare breath, deep and anxious. Turning to Alex Mercer's focused silhouette, the nocturnal landscape illuminated softly by makeshift floodlights, Jordan felt the syncopated tempo of apprehension and exhilaration jockey for primacy within. - -"The closer we get to unlocking these messages, the more I feel like we're peeling back layers of reality itself," Jordan confided, eyes not leaving the monitors that presented a constellation of data points. - -"Yes," Alex replied, his voice steady as he considered the implications of their discovery. "And we have to be ready for whatever we find beneath those layers. Whether it's a breakthrough or a Pandora's Box." - -Silence settled between them, broken only by the occasional buzz of communications equipment attempting to bridge terrestrial and extraterrestrial intelligences. Tense moments drifted by, laden with the expectant weight of near breakthrough, when a soft chime signaled an incoming transmission -- a rare sound that set every agent on high alert. - -Absent was the voice of Washington or Paranormal Military Squad command. Instead, a rhythmic series of pulses and tones filled the air, deliberately patterned, unmistakably non-human. - -Sam Rivera adjusted the sensitivity of the decoding equipment, their hands shaking with anticipation as much as focus. "I have it!" they announced, the signal transforming under their expertise into a sequence of visual symbols on the screen before them. - -Their shared excitement was palpable, a kinetic force resonating between the team members as they crowded around the display. - -"What does it say?" Taylor Cruz demanded, the urgency in his tone scraping against the newfound wonderment. - -Interpreting the alien syntax required not only decoding but intuition and empathy. The words that emerged upon the screen were at once coherent and enigmatic: "*Voyage. Convergence. Peril.*" - -The stark simplicity of the message struck them collectively, a chill breeze wafting through their resolve. - -Alex stepped forward, piecing together the cryptic communication with a growing sense of obligation. "It’s a call to action," he deduced, "or possibly a summons." - -Jordan's gaze met Alex’s, both understanding that this was no longer an investigation or mere extraction of hidden truths. This was humanity's unwitting enlistment into a galactic dialogue that defied boundaries of nation, creed, or protocol. - -Sam's eyes were aglow, not with fear, but with the profound acceptance of inevitability that comes with groundbreaking revelation. Moreover, within Taylor's stern exterior churned the seed of reluctant admiration for the unclassified, the uncharted realms they were approaching. - -Together, they accepted the pivot in their mission, readjusting their objectives from exploration to engagement, and from isolation to a communal outreach beyond the stars. As dawn's first light threatened the horizon, it became clear that they were no longer merely operatives of a clandestine governmental faction—they were delegates on behalf of Earth, embarking on a voyage orchestrated by destinies unrelated to the mere geopolitics of their world. - -Turning to each other, their silhouettes sketched against the coming dawn, the agents recognized the transformation within and amongst them. They were bound by more than duty—they were intricately woven into the fabric of an unfolding cosmic opera, one in which they had been granted an undeniable role. And as they set course for the coordinates that beckoned them like a distant siren's call, it was with a solemn dedication to not only uncover the mysteries ahead but to navigate the convergence, and the peril, as unified emissaries of a world on the cusp of a broader understanding. - -\* - -Beneath the hum of the fluorescent lights and the vigilance of silent monitors, Alex Mercer stood with his team in the threshold of the base's command center, their faces etched with the fatigue of hours spent unraveling galactic mysteries. Jordan Hayes broke the stillness with a delicate fusion of disbelief and resolve. "The signal..." they began, their tone deliberate, "it’s evolving. It’s not just sending a message—it’s responding to us." - -Taylor Cruz leaned over the console, their eyes narrowing with intrigue and a flicker of unease, studying the alternating patterns on the screen. "Responding? Like it’s alive?" Taylor asked, a question that bordered on the edge of wonder and alarm. - -Sam Rivera’s gaze was locked onto their interface, a digital orchestra at their fingertips. "It could be some form of advanced AI. Or something else entirely," they contributed, a note of exhilaration betraying the gravity of the situation. - -Alex paced before the terminal, absorbing the enormity of their predicament. Their mission—once rooted in the solid ground of military discipline and covert operations—had transcended into an encounter of unprecedented import. "We need to be cautious," he advised, his voice a low rumble of cautious strategy. "If this signal is intelligent, how we interact with it could dictate the outcome of this entire operation." - -Jordan met Alex's gaze with a nod, the weight of the responsibility shared and accepted. "We have protocols for first contact, but nothing for... this," Jordan admitted. The room was gripped with tension, each breath seemingly louder than the last. - -Then, with a sudden burst that filled the command center, the signal coalesced into a clear and distinct pattern which replicated and expanded, its complexity revealing the hand—or mind—of an intelligent architect. - -Taylor's instinct for command surged forth. "Prepare to record and analyze. Whatever it is, we need to understand it—" But their words were cut short as the signal surged, enveloping the room in a brief, blinding cascade of light. - -In that pulse of brilliance, a shared revelation coursed through the team. The signal had become a bridge, an extension of unknown consciousness reaching towards them, testing, communicating, searching. - -Alex stepped back from the light, feeling a profound change unravelling within him. The path forward would not be one of confrontation or conquest, but of connection and comprehension. - -Jordan turned to Alex and Taylor, seeing in their faces a reflection of the same metamorphosis taking place within themselves—a movement from observers to participants, from agents to ambassadors. - -With a collective breath, the team faced the kaleidoscope of lights. The alien signal, once a harbinger of enigma, was now a catalyst for transformation—a symphony of light and sound that echoed the beginnings of a new relationship between humanity and the alien unknown. - -And so, with deliberate steps, Alex Mercer led his team into the luminous fray. Science, protocol, and survival instinct harmonized within them, each member poised on the cusp of a new chapter in human history. - -They were no longer merely the instruments of Paranormal Military Squad's will—they were the vanguard of humankind’s first definitive leap into the cosmic community. - -With the last echoes of the signal resonating in the control room, they each embraced the sequencing of the transmission, the dance of extraterrestrial light that now wrote itself into their story. The chapter of Operation: Dulce drew to a close, but the narrative of their destiny had only just begun. - -## Chapter 6 - -\* - -The cool darkness of the command center at Dulce base was a stark contrast to the brewing storm outside, where the unforgiving New Mexico desert winds whispered of the hidden truths that lay buried deep beneath its surface. Dr. Jordan Hayes sat, their eyes fixed on the readout, the frenetic dance of symbols and numbers reflecting off their determined face. They were on the cusp of an epiphany, teetering between the widely accepted laws of physics and the promise of a new cosmic paradigm. - -Alex Mercer watched from across the room, noting the subtle shifts in Jordan’s posture that belied a developing readiness to embrace the unbelievable. “Find something?” Alex’s question, asked with a blend of curiosity and solidarity, bridged the gap between a command and a genuine query among equals. - -Jordan's response was slow, measured against the magnitude of their analysis. “This isn’t random static. It’s a pattern - a repeated sequence phasing in and out but distinctly artificial.” Jordan turned away from the screen, locking eyes with Alex. “This could change everything.” - -Sam Rivera leaned in, their eyes alight with the fires of revelation and a quenchless thirst for understanding. “A pattern means intention. Could it be a message?” - -A figure emerged from the doorway, casting a long shadow into the room - Taylor Cruz. “Intentions can be friendly, or hostile. We shouldn’t forget that,” said Taylor, bringing a dose of their usual pragmatism into the heart of discovery. - -Alex acknowledged Taylor’s caution with a nod, understanding the need to keep their feet grounded even as their spirits soared toward the unknown. “Then let’s be the first to find out which it is." - -The team gathered around the monitors, the soft tapping of Jordan's keystrokes now punctuated by the occasional crackle of Sam's radio equipment. The sound was almost ritualistic, a prelude to humanity’s potential first, knowing foray into a larger universe. - -Jordan’s fingers paused, suspended in mid-air. The signal had evolved, becoming a beacon that somehow felt less alien and more familiar. It was as if the complexities of their message were unfolding into something more accessible, more terrestrial. - -A hushed excitement swept through the room. The transformation suggested an awareness on the part of the unknown senders; a finesse that spoke volumes about their capabilities and perhaps their intentions. - -With the growing realization that they were engaging with an intelligence far exceeding their previous understanding, the team prepared to reach back across the cosmic divide. Prepared or not, they were no longer bystanders in this galactic narrative. They were active correspondents in an exchange that transcended galaxies and welcomed them into an expansive, possibly fraught, interstellar conversation. - -\* - -Inside the cavernous central hub of Dulce military base, Dr. Jordan Hayes stood in near-darkness, surrounded by a nest of cables and monitors that buzzed with silent, cryptic life. Jordan's eyes narrowed to focus on the sequences that danced across the screen—patterns that could unravel the cosmic enigma surrounding them. - -Alex Mercer approached with his characteristic stride, a signal of reliability in the chaos. "Status report, Dr. Hayes?" he inquired, his voice low, almost blending into the soundscape of beeping consoles and swirling fans. - -"We're on the brink of unravelling the signal's origin," Jordan replied, the weight of implications heavy in their tone. "There's intelligence behind it, a thought process alien to our own." - -As if summoned by their analysis, Taylor Cruz approached with authority radiating from every pore. "Understand this, we need to know if it's friend or foe. Don't get wrapped up in the existential—our lives may depend on the answers you provide." - -Sam Rivera, their hands adroitly adjusting a device to fine-tune the signal, chimed in with optimism undercut by anxious anticipation. "We're deciphering the comm encryption. Soon, we'll have a channel open—not just listening in, but speaking back." - -Alex nodded his understanding, his strategic mind processing the tactical implications while grappling with the more profound humanistic impact. "When we do, we'll tread carefully, communicate with purpose," he reassured the team. - -The operation had evolved rapidly, from a stealthy incursion into a clandestine labyrinth to an exchange with an extraterrestrial intellect. Their earlier trepidation transformed into determined focus, as they prepared to extend humanity’s hand into the vast unknown. - -An alert on one of the monitor stations snapped the team into alarm. The signal had not simply been waiting—it had been calculating. Now, it reached its crescendo, demanding their attention with a provocative urgency. - -Jordan's fingers raced over the keyboard, their eyes simultaneously interpreting data and sharing directives. "It’s a linguistic lock, a test of comprehension. We crack this, we establish dialogue." - -Taylor's presence was a beacon of steely resolve. "Then let’s solve it. This is what we trained for—the unknown." - -Alex and Sam exchanged a look that telegraphed their shared determination—this was not only the mission they had trained for; it was the mission they had been destined for. - -Together, the Paranormal Military Squad team leaned into the challenge, their minds honing in on the complex patterns with a singular goal: to unlock the conversation with an intelligence that had already begun to shift the foundations of what they knew, or thought they knew, about the universe. - -In a symphony of clicks and murmurs, they worked, knowing they were about to make a giant leap not just for themselves or Paranormal Military Squad, but for all of humanity. As the final pieces fell into place, Dulce's militaristic silence was shattered by the sound of intergalactic contact—by the sound of history being made. - -## Chapter 7 - -In the enclosed space of Dulce’s command center, the air was thick with anticipation, each team member poised to tread the razor's edge between scientific breakthrough and galactic peril. Dr. Jordan Hayes focused intently on the screen, their fingers tapping a staccato rhythm against the keyboard as lines of alien code cascaded down the monitor. - -Alex Mercer's steely gaze surveyed the room, stopping on each member of his team. "Thoughts?" he asked, echoing the unspoken tension. His question, while directed at the group, lingered on Jordan—acknowledging their expertise and inviting collaboration rather than dictating orders. - -Jordan’s brow furrowed, an indicator of the mental gymnastics being performed. "It's unprecedented," they finally said, their voice a testament to the gravity of the moment. "Behavioral algorithms... if we're right, this code could reveal extraterrestrial thought patterns." - -Before anyone could react, Taylor Cruz interjected with the assertiveness of someone accustomed to commandeering the discourse. "Then let’s ensure we’re deciphering it correctly," Taylor stated, their tone suggesting they were still battling to maintain control over an increasingly alien situation. - -Sam Rivera hovered near the mainframe, youthful energy barely contained under the surface. "What if it’s more than just a message? What if they’re trying to extend consciousness across the stars?" - -The room fell into a contemplative silence, broken only by the hum of electronic equipment and the distant thud of secured doors locking in rhythm. The weight of responsibility rested on each agent's shoulders—a heaviness palpable in the air they shared. - -Alex stepped forward, reaching a subtle decision, one dictated by foresight and the humanity nestled at the core of their mission. "We approach with the aim to understand, not to confront," he said, softening his military bearing into a more diplomatic stance. - -Jordan nodded, appreciating the leadership that Alex displayed in the face of the unknown, and turned back to the cryptic data. Here, before them all, was a tangible piece of evidence—proof of an extraterrestrial sentience that had outreached the bounds of their expectations. - -Taylor took a breath, simultaneously exuding a sense of preparedness and venturing into the unknown alongside their peers. "Then let’s do what Paranormal Military Squad does best—investigate and adapt," Taylor added, finding comfort in the familiar even as they stood on the cusp of an unprecedented alchemy of science and mystery. - -The team leaned into their respective roles, driven by the urgency of the assignment and the pull of an insatiable curiosity. Sam offered a grin that belied the tension, a youthfulness that reminded them all of the profound excitement nested within the terror of the unknown. - -Quietly but resolutely, they turned back to their instruments, each of them a sentinel on the threshold of a new reality. The once implicit lines of command were now woven into a shared tapestry of hierarchy and camaraderie. As they danced with the unknown, they were beacons of sentient endeavor, casting the light of human consciousness into the vast darkness that called to them. - -\* - -\* - -Dulce Base's cavernous darkness was pierced by the sharp luminescence of monitors, casting an electric glow onto the faces of those who dared to unearth its secrets. Dr. Jordan Hayes stood motionless, eyes glazed in concentration, their mind a nexus where terrestrial science battled with celestial unknowns. - -Alex Mercer watched from a slight distance, the weight of command tangible upon his shoulders, though lightened by the shared burden now held amongst them. "We could be on the frontier of a new kind of diplomacy," he mused aloud, giving voice to the moment's gravity. - -At those words, Jordan's trance broke. "If that's the case, then these communications," Jordan motioned to the stream of data, "are our olive branch across the cosmos." - -Taylor Cruz, who paced with restless energy, halted and faced the team—his stoicism marred by the erratic dance of lights reflected in his eyes. "An olive branch, or an invitation to a battlefield?" he posed, ever the strategist, his words laced with a hint of cynicism. - -Sam Rivera, nestled amongst an array of equipment, licked their lips—a mixture of nerves and anticipation palpable. "We're mapping out something incredible here. Whether it's peace or war, we're the cartographers." - -Silence enveloped them like the expanse of space itself, each member contemplating the chasms they might bridge—or the abysses into which they might unwittingly descend. - -Alex's demeanor assumed a quiet resolve—the profound knowledge that this mission was as much about navigating uncharted philosophical territories as it was about ensuring survival. "Whichever it proves to be, we'll face it. Prepared, unified." - -A nod passed between Jordan and Alex, a silent exchange of mutual respect and shared mission. Sam, buoyed by the weighty encounters of the mind and machinery, entered keystrokes with a fervor that seemed to bring them ever closer to the alien mind. - -They stood there, the Paranormal Military Squad team, not just as guardians of homeworld secrets or as soldiers of clandestine wars, but as humankind's chosen few at the fulcrum of history—a history that was now unfolding to the rhythm of otherworldly codes. - -Each revelation, each parsed symbol, inched them toward the line between the earthly and otherworldly. And as they stood on this precipice of cosmic negotiations, it was clear the ensuing dialogue would not just shape the future of Paranormal Military Squad—it could very well redefine the parameters of human existence. - -\* - -The hum of advanced computational systems tingling with cryptic transmissions framed the ambiance of Dulce's mainframe chamber. Jordan Hayes, fingers hovering over a console dense with blinking lights, furrowed their brow as sequences of alien data streamed across the screen. - -Alex materialized behind them, his presence a stable beacon amidst the technological whirlwind. "Look for patterns, anomalies. Anything that might resemble a handshake protocol in their communications," he directed, his voice a low thrum, reverberating with cautious optimism. - -Jordan cast a glance over their shoulder, acknowledging Alex's contribution with the shared understanding of colleagues who had transcended mere professional acquaintance. "I’m isolating sequences that seem to recur with more intention than static. If these are their ‘handshakes,’ then we might just be making first contact," they remarked, their focus returning to the screen with renewed vigor. - -From the other end of the room, where shadows married the artificial light, Sam's voice crackled through the static of nearby speakers, "Don't forget the anomalies we detected earlier. Each one could be a word, a sentence, or even a concept untranslatable to our current understandings." - -Resolute, Taylor Cruz stood at Jordan's other side, a stoic figure wrestling with the implications of their mission. "Keep pursuing this line," Taylor instructed, an undercurrent of intensity carried forth in their otherwise composed demeanor. "And remember, this isn't just about making contact; it's about securing knowledge for humanity." - -Alex offered a nod that spoke volumes, conveying his understanding of the stakes at play. Here, in this chamber of possibility, the team's actions would determine if humanity stood at the brink of a new age of understanding or the onset of an unprecedented threat. - -Every second thrummed with significance as Jordan and Sam worked in tandem, each keystroke a foray into the unknown. Taylor observed with a commander's scrutiny, the gravity of their role sustaining them against the waves of ambiguity breaking against their resolve. - -Pivotal moments come rarely in the course of human events but here, amidst the electronic symphony of a stalwart command center, lay the incepting notes of a cosmic overture. The harmony between human and alien, between Paranormal Military Squad and the vast reaches of space, began its first tentative measures, with each member of the team a vital instrument in a celestial ensemble yet to be fully heard. - -\* - -The crisp air within the mainframe room of Dulce base seemed to hum with unspoken possibilities. Jordan Hayes was the centerpiece of focus, their hands dancing methodically over the console as streams of otherworldly code cascaded down monitors, each flicker a potential key to the cosmic doors they were inching open. - -Alex Mercer watched, posture relaxed but eyes sharp. "Remember, this could be our first introduction, maybe even our first impression," he said, mindful of the gravity carried by each action they made henceforth. - -A hint of a smile touched Jordan's face, a small acknowledgment of the monumental task at hand. "Understood. I'm balancing the signal's syntax with our algorithms. If we're interpreting this correctly, it could be... well, an invitation." - -Into the electric tension of the chamber walked Taylor Cruz, their silhouette a sharp contrast against the cool lighting, radiating a presence that spoke of command and chilly tenacity. "An invitation, or a challenge?” Taylor questioned, the weight of their suspicion casting a different tint on the cascading data. - -Sam Rivera, in a corner arrayed with sophisticated equipment, piped up, their voice a buoyant note amidst the tentative atmosphere. "Either way, it's a connection. One that we're uniquely positioned to navigate," they remarked with an air of optimism threading through the uncertainty. - -Alex channeled the strengths of his team into the core of their approach, his leadership adapting to the contours of an unprecedented scenario. "Cautious and curious," he reflected aloud, shaping a strategy that balanced their thirst for comprehension with the prudence required in addressing the unknown. - -Jordan, hands momentarily at rest, looked up. The signal was more than a sequence of bits and commands—it was a riddle wrapped in the depths of space-time, and they were on the cusp of parsing its meaning. - -Taylor, hardly a step away, nodded in silent agreement. The implications of their findings might very well direct the course of human destiny from this point onward. - -Finding a tempo among themselves, the Dulce team was a confluence of ambition and acumen, each member intuitive to the beats of discovery. The chamber around them held untold stories, secrets coaxed from the stars, that now, led by Paranormal Military Squad's finest, began to unravel. - -The future in those moments was unwritten, a narrative scribed not in the dust of desert confines, but in the potential for interstellar diplomacy and understanding. As they prepared to script humanity's next chapter, the room seemed to pulse with the heartbeat of a story far greater than the sum of its parts. - -## Chapter 8 - -The grit of an earthbound dust storm contrasted sharply with the pristine sterility of the underground command center. Alex Mercer, eyes set with fervent determination, stood over Jordan Hayes, whose fingers danced across the keyboard with rapid purpose. Monitoring the progression of alien code unraveling before them, Mercer spoke with a tempered urgency, "Keep it steady, Jordan. We might be initiating the first true interspecies communication bridge here. It's all about finesse now." - -Taylor Cruz, the embodiment of military precision, surveyed the room with a calculated gaze from their vigil beside an array of glimmering screens. "Remember, these could be delicate negotiations -- or coded threats. Stay sharp," Cruz added, their voice cool as polished steel. - -Jordan, with a silent nod, recognized the gravity of both stances. Gravitating between scientific acuity and diplomatic caution, they replied, "The sequence is aligning—syncing with our comms. It's looking more and more like direct engagement." - -Amid the banks of electronic machinery, the thrumming pulse of an impending interspecies signal exchange, Sam Rivera interjected with a youthful zeal that cut through the weighty atmosphere, "It's not just an exchange. It's a... symphony. It's as if they're teaching us their language through modulation." - -A moment of profound silence swept over the team. The isolation of their location, deep within the top-secret labyrinth of Dulce, became suffused with an almost palpable sense of historical significance. - -"Then our response needs to be equally symphonic," Alex uttered, contemplating the awe-inspiring transmutation of their task from a simple recovery mission to a full-blown cosmic concerto. - -With a renewed sense of wonder tempered by caution, the Paranormal Military Squad team found themselves harmonizing a delicate balance between envoys and interpreters. The long shadow cast by their duty was now illuminated by the brilliant glow of otherworldly dialogue. - -In this carefully orchestrated march towards the unknown, each individual's expertise became critical notes in a larger melody. The narrative of human achievement, so often defined by solitary pursuits, now emerged as a collaborative opus, each member of the team a maestro in their right. - -The protocols of encounters, the mathematics of languages, and the poetics of connection all fused into a singular moment of convergence. The echo of their efforts reverberated back to them, not through the cavernous base's concrete walls, but from light-years away, in the form of a reply, intangible yet infinitely profound. - -\* - -Amidst the hum of the supercomputers and the faint static from the scrambled transmissions, Alex Mercer cast a thoughtful glance across the dimly lit room toward where Dr. Jordan Hayes was methodically adjusting the archaic dials of the decryption machine. "Any progress?" he asked, his tone conveying both impatience and the deep-seated respect born from countless shared challenges. - -Jordan did not look up, their gaze remained locked on the flickering lights that represented a dialogue suspended between worlds. Their fingers ceased their dance, hovering meditatively over the controls. "We might be on the cusp of a breakthrough," Jordan suggested. "The signal... it's evolved. It's reflexive now, responsive in a way that suggests sentience." - -Taylor Cruz's familiar sharp strides approached the two, breaking the rhythm of soft beeps. "Responsive is good, if it means understanding," Taylor said, head tilted as they peered at the encryption data scrolling by. "But remember, comprehension can bring revelation or conflict." - -Sam Rivera’s youthful voice permeated the tension, brimming with an excitement edged by the enormity of what they faced. "If it's truly sentient, we're not just cracking a code; we're learning how to converse with an entirely new form of consciousness," they chimed in, the weight of history not lost on the zealous astrotechnician. - -Alex nodded, his thoughts alighting on potential strategies for navigating the conversation they were cultivating with the unfathomable. "We need to keep that conversation going, echo its patterns, and speak its language," he resolved, knowing the delicate nature of their work merited every ounce of their collective acumen. - -The chamber now was a crucible, forging within it the future narrative of human contact with the unknown. Every signal pulse they sent out was an invitation for understanding, and every echo back a step closer to bridging the cosmic divide. And so, together, they stood - agents in Paranormal Military Squad's clandestine ranks, united by purpose, sculpting humanity’s first sonnets into the void. - -\* - -#### Knowledge graph updates - -- (Jordan Hayes, Interprets, Communications as cosmic diplomacy, Moderate) - -- (Taylor Cruz, Questions, Potential aggressiveness of alien intent, Minor) - -- (Sam Rivera, Expresses, Optimism about forming a connection, Minor) - -- (Alex Mercer, Adopts, Balanced strategy for contact, Moderate) - -- (Paranormal Military Squad team, Navigates, Beats of cosmic discovery, Moderate) - -- (Paranormal Military Squad team, Prepares, To script humanity's interstellar narrative, Major) - -## Chapter 9 - -The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. - -Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware." - -A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention. - -"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke." - -Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time." - -Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel." - -Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. - -They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. - -\* - -\* - -The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. - -Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware." - -A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention. - -"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke." - -Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time." - -Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel." - -Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. - -They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. - -\* - -Alex Mercer's eyes were fixed on the monitors, the reflected light casting an ethereal glow across his stoic face. The room buzzed with tension, a cacophony of low hums and electronic beeps that underscored the historic nature of their actions. He moved to where Dr. Jordan Hayes was immersed in their work, scrutinizing the alien code streaming rapidly down the terminal. - -"Find anything that might look like an entry point or a... digital handshake?" Alex asked, his voice steady, betraying none of the tension gripping his chest. - -Jordan looked up briefly, their expression weary yet intense, "Potentially. It's as if the code is anticipating our input, modifying itself in real-time. I've never seen anything like it." - -From across the room, Taylor Cruz's sharp voice cut through the hum. "Then it's learning or, possibly worse, baiting us. Proceed with extreme caution," they commanded, their firm stance reinforcing the gravity of the situation. - -Sam Rivera, surrounded by a cascade of screens and interfaces, added, "It's almost organic in its complexity. Any minute now, and I might have a way in." - -A slight nod was Alex's immediate response, his mind racing through the potential scenarios. "Everyone, stay alert. This could be the beginning of something profound." His seasoned eyes never left the unfolding drama on the monitors. - -The room fell silent, the air heavy with unspoken questions. Were they mere moments away from unlocking an otherworldly dialogue? Or was it a Pandora's box that, once opened, could not be closed? - -Alex moved closer to the main console, his fingers hovering over the command keys. With the precision of a maestro orchestrating a symphony, he communicated silently with Jordan – respectful of their expertise, aware that the next move could alter the course of human history. - -Jordan met his gaze, nodding sharply, and refocused on the task. The signal seemed to pulse with sentient curiosity, drawing them further into its intricate web. - -A sudden flurry of alerts and the intensifying glow of monitors heralded that they had bridged a technological chasm. The alien intelligence on the other end was no longer a distant enigma – it was an active participant, responding to their digital overtures with an unknown agenda. - -The team's meticulous efforts had led them to a momentous threshold. Beyond lay unprecedented contact – a nexus of curiosity and potential peril. Within the confines of the base, against the backdrop of a silent desert night, the Paranormal Military Squad operatives became mediators of Earth's bid for cosmic relevance, their every action now a gesture in the grand dance of intergalactic relations. - -## Chapter 10 - -The corridors of the Dulce military base, now silent, echoed with a history of whispered conspiracies and furtive movements. But in the command center, a delicate tapestry of light and sound was being woven as the echoes of cosmic dialogue resonated through the high-tech enclave. Dr. Jordan Hayes, now leading the efforts, called out from their workstation, "I’ve isolated the signal's harmonics. It's more than a call; it's a song, an interstellar siren’s call." - -Alex Mercer, steady and resilient in the face of the incomprehensible, acknowledged with a quiet nod, "A song that we need to learn—quickly." His eyes, heavy with responsibility, scanned the room, watching his team work tirelessly at the intersection of science and speculation. - -Sam Rivera, dulled by fatigue yet driven by unshakeable resolve, manipulated a complex array of audio interfaces. "There's a pattern, a repeating motif. It's structured, intentional," they muttered, their revelation a bridge between the known and the unimaginable. - -Taylor Cruz, a figure of central authority, paced the length of the room, their usual unflappable demeanor betraying a rare flicker of apprehension. "We should be wary of the sirens’ call," Taylor interjected, invoking myths of old as a cautionary metaphor. "We don't want to crash upon unseen shores." - -Undeterred, Jordan cast a determined glance at the team. "We navigate by starlight now, not by the limited light of our previous understanding." Their voice was a beacon, charting a course through unchartered realities. - -Every individual was acutely aware that each moment in that room was a conduit to an epochal shift for civilization. The mysterious signals, once distant and alien, had coalesced into complex and harmonious oscillations—beacons of an extraterrestrial intellect inviting Earth to join in a cosmic consortium. - -Silently, Alex approached the mainframe, his trained fingers aligning with the console’s mechanisms. The room watched in collective breathlessness as he set the frequency in motion, an introductory phrase to an otherworldly melody—a symphony that could bind worlds or spell devastation for all they knew. - -In the control room of Dulce, amongst whispered legends and the quiet hum of machines, humanity's ambassadors now stood, stretching their hands into the void, reaching for the hand that would either pull them into the light of new stars or into the maw of darkness between them. - -\* - -Underground, the Dulce facility's command center was awash with frenetic energy, a stark juxtaposition against the silent, decrepit corridors that enveloped them. The air hummed with anticipation as Dr. Jordan Hayes and Alex Mercer hunched over a console. The sterile light from the monitors cast an otherworldly glow upon their faces, now reflecting a mosaic of alien characters rapidly translating across the screen. - -"The patterns are evolving," Jordan murmured, concentration etched into their every feature. "It’s as if our attempts to decrypt have accelerated its learning. It’s adapting to us." - -Alex, who stood steadfast behind Jordan, felt a tinge of uncharted fear quickly quelled by the fire of discovery raging within him. "Keep it up," he urged. "But whatever this is becoming, we need to ensure it remains within our control." - -Taylor Cruz interjected, their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data. - -"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives ‘talking to strangers’ a whole new meaning." - -Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back." - -Together, they stood on the edge of the unknown, forging humanity’s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history. - -The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation of their investigative strategies. The air turned heavy with the scent of electricity and ambition as they closed in on a pivotal response. - -As the signal’s intelligence—whether artificial or biological—grew more profound, so too did the realization that their mission had morphed from passive observation to active engagement. There was no turning back now. Each agent embraced their part in the delicate dance of an interstellar exchange that could change everything they thought they knew about life, intelligence, and the dark void beyond Earth's atmosphere. - -\* - -The underground halls of Dulce Base, usually buzzing with covert operations, now thrummed with a different kind of energy, an electric mix of fear and fascination. At the heart of the base, in a room shielded from the world’s eyes, Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera huddled around a bank of monitors. Each screen flickered erratically with the alien script that had become the center of their lives—and perhaps the pivot on which humanity’s future would turn. - -Jordan's eyes never wavered from the displays, their expression was one of rapt concentration, interspersed with flashes of revelation. "We're conversing with the stars," they whispered, almost to themselves. The words hung in the air, a testament to the awe-inspiring strangeness of the situation. - -"The language is morphing; changing its structure with every exchange we have," Sam chimed in, enthusiasm tinged with the solemnity of the occasion. "It's like witnessing the birth of a new form of dialogue—one that spans galaxies." - -Taylor, despite the situation's precariousness, maintained an appearance of ironclad composure. "Keep the communication stream secured and monitored. We don't know what we're dealing with yet," they reminded the team, a bastion of protocol amidst uncertainty. - -Alex watched his team expand the parameters of human achievement; their work here would possibly define an era. "This is untrodden territory," he acknowledged, "and in every word we script, in every response we decode, we're drawing a map that others will follow." - -Jordan turned to Alex, a nod acknowledging the shared responsibility of this moment. They had embarked on a new voyage, an odyssey not of the body, but of the intellect and spirit. No longer explorers of the Earthly realm, they had been promoted by circumstance to ambassadors of humanity in a silent and boundless ocean. - -A sudden pulse of energy from the monitors signaled a breakthrough; the language had not only adapted but it seemed to resonate, to harmonize with their attempts at making contact. The alien script now sprawled across the screens didn't just ask to be understood—it invited interpretation, collaboration, maybe even companionship across the cold distances of space. - -As they stood before the precipice of first contact, Paranormal Military Squad's finest became the architects of a symphony meant to echo through the cosmos. But more than architects, they were the first to play the notes of this cosmic composition, daring to believe that on the other end, someone—or something—might be listening, ready to join the chorus. - -\* - -The underground command center of Dulce Base, once pulsing with clandestine operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. - -Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt." - -The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here." - -Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood." - -Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance. - -The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. - -A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. - -The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history. - -## Chapter 11 - -The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. - -\* - -The thrum of the colossal machinery vibrated through the subterranean facility as Alex Mercer stood amidst the whispers of technology, each carrying voices from worlds apart. He watched as Sam Rivera adjusted a complex array of cosmic translators, their expression a mixture of anticipation and awe. - -"Are we ready, Mercer?" Taylor Cruz asked, the soft glow of the command center consoles reflecting upon their stern face. - -Alex turned towards Taylor, his eyes holding a depth that betrayed the enormity of the threshold they were about to cross. "This is it," he said. "Initiate the protocol. It's time we answer the cosmos." - -Jordan Hayes, stationed at the mainframe, typed rhythmically, a blue hue painting their focused features. The eerie silence that had settled over the team was interrupted by a visceral sound—humankind's response to the alien dialogue, now streaming into the abyss. - -The control room, once a fortress of solitude, erupted into an oasis of life. Lights flickered in tandem, echoing the symphony of interstellar communication. They stood together at the edge of discovery, facing the symmetry and discord of a universe unknown. - -"If we're right, we've just become Earth's first emissaries to a celestial congress we're only beginning to comprehend," Jordan's voice was somber, resonating with a mix of trepidation and honor. - -The room filled with the resonance of human and alien minds converging, creating a new narrative within the fathomless expanse of existence. Paranormal Military Squad, once protectors of Earth's clandestine secrets, had now become the tether linking humanity to the cosmic fold. - -\* - -The underground command center of Dulce Base, once pulsing with covert operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. - -Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt." - -The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here." - -Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood." - -Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance. - -The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. - -A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. - -The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history. - -## Chapter 12 - -The underground facility of Dulce Base, once shrouded in silence and operational secrecy, now hummed with an energy that cradled the promise of cosmic revelation. Alex Mercer stood pensively by the central terminal, flanked by Dr. Jordan Hayes, Taylor Cruz, and Sam Rivera, each poised at the edge of a history-defining moment. - -Jordan's fingers ghosted across the console, tracing patterns of otherworldly origin. "The signal’s architecture is becoming more complex, resembling aspects of human cognition—recognition, learning, even... empathy?" they postulated with furrowed concern. - -Alex turned his gaze upon Jordan, his voice quiet but resolute, "Empathy could bridge galaxies. Let's harness this connection and proceed with cautious optimism." - -Taylor, ever the sober sentinel, projected a more pragmatic standpoint. "Empathy or not, we are duty-bound to assess the risk to humanity. Every new discovery warrants a measured response." - -The static hiss of communications equipment filled the air, its purpose now transformed into a dialogue with an intelligence beyond the stars. It was Sam, wide-eyed amid the myriad lights and switches, who broke the silence, "We have provisional confirmation of the signal’s intent—initiation. We’re being brought into a broader spectrum of cognizance." - -The chamber lay still for a heartbeat, the Paranormal Military Squad agents steeped in contemplation of the path unfurling before them—a path paved with possibilities of diplomacy or disruption, each step a venture further into the cosmic unknown. - -Alex stepped closer to the viewing monitors, each depicting alien symbols seemingly reaching out from the void. "Initiate the broadcast," he spoke with quiet command. "Our response will mark humanity’s readiness to partake in the wider conversation of conscious beings." - -Amidst the crackling air of expectation, the team wordlessly returned to their stations. They had transcended their roles as protectors of Earth's clandestine lore to become the harbingers of an interstellar parley that could change the existential course of life on their pale blue dot. - -The deep hum of the terminal emitted a signal—a testament to the uncanny reality that Earth was now actively partaking in an exchange not bound by gravity nor the limits of the solar wind. - -Here, in the depths of Dulce, a message from humanity woven from understanding and uncertainty was cast into the firmament, an epitheg of their desire to join the universal dialogue and discover their place among the constellations. - -\* - -The somber depths of the Dulce Base command center stood in stark counterpoint to the animated flurry of activity around the central comms array. Alex Mercer's silhouette loomed behind Dr. Jordan Hayes, who sat with a posture indicating laser focus on the decryption process. A quiet murmur of digital soundscape filled the space, subtly heightened by the anticipation of contact with an intelligence beyond the Earth. - -Jordan's voice was steady, betraying none of the extraordinary nature of their work, "Looking through the signal's pattern, it's evident we’re dealing with a form of intelligence—calculating, mirroring, possibly even understanding." - -Alex's reflection bounced off the darkened screens, his head nodding in silent affirmation. "We’re walking a delicate line. Our response should be thoughtful, measured. We’re ambassadors, not merely explorers." - -Taylor Cruz approached, arms folded, their words slicing through the din of careful keystrokes and soft whirrs, "If there’s even the slightest chance it understands, we can’t afford missteps. The language of the stars might be more absolute than ours." - -From another terminal, Sam Rivera brought youthful vigor to the conversation, "There’s rhythm in these patterns. If this is their way of reaching out, our reply should encapsulate all that we are—all that humanity stands for." - -Looking around at his team, Alex saw resolve etched on every face. The chamber, usually somber and echoing with the quiet steps of covert agents, now felt alive with the heartbeat of discovery. They were not just professionals operating in the gloom; they were a collective standing at the helm of a momentous journey. - -"Let’s begin," he said, returned by the resolve in his voice. "Every second counts." With that, they pressed forward, setting in motion a reply to a conversation billions of years in the making. - -The dance with an unseen partner commenced, each pulse they sent out a step taken with caution and hope. And as those digital pulses journeyed through the black sea of infinity, Earth, for perhaps the first time, joined a pan-galactic dialogue that whispered secrets of the cosmos—secrets that, until now, had been lost in the silent vastness of space. - -\* - -As the team stood in the centralized nerve center of Dulce's underground fortress, the solemn atmosphere was reverent, overseeing systems that engaged with an intelligence from the void. Alex's stance was contemplative as he gazed at Jordan Hayes, who presided over the console, the tension of the moment reaching a tactile fervor. Each rhythmic tap of Hayes's fingers on the keys was a foray into uncharted symphonies of contact. - -Observing Hayes unravel the dense alien encryption, Alex spoke, a diplomatic tenor underpinning his words, "Keep focused on the syntax, dissect its nuances. We're not just decoding signals; we're translating intentions." - -Without diverting from their task, Jordan acknowledged the insight. "Indeed, if their understanding of us is as deep as we hope, we're paving the way for dialogue far beyond our current realm." - -Taylor Cruz, near the rear of the room, provided a steady oversight. "As horizonless as our prospects may seem," Taylor intoned, "remain diligent. Complacency before alien cognition could spell catastrophe." - -Sam's youthful voice resonated with optimism, "Imagine—forming a rapport with a consciousness separate from our reality; we're drafting the bridge to stars alive with minds!" - -The sentiment hung for a moment before Alex gathered his conviction. "Dialogue is our vessel. We are not just agents of enigma; we are the threads that may weave a new cosmic relationship." His words seemed to reflect off the walls, reaching beyond the room's confines, a quiet yet resilient vow. - -Their task was titanic, stepping stones laid delicately into new territories of existence. The signal, once an esoteric strand in the echo of the universe, beckoned now with a clarity rocketing the complexity of thoughts from a distant order. - -Action by action, the Paranormal Military Squad team bridged the vast interstellar distances, their expertise and empathy casting a beacon of unity into frontiers of intelligence and knowledge. Their work, a partnership struck with an unseen cosmic congregation, each pulse sent and received a line in Earth's novitiate envoi to the cosmic shores. - -\* - -Under the stark, unforgiving lights of Dulce Base's underground command center, tension buzzed harder than the banks of supercomputers that lined the walls. Agent Alex Mercer leaned over the shoulder of Jordan Hayes, whose eyes were locked onto the display screen, where an incomprehensible series of alien symbols streamed past incessantly. - -“Any progress on the decryption?” Alex's voice was steady, a controlled presence necessary in the gravity of their undertaking. - -Jordan tapped a key, pausing the flow of code, and leaned back with a deep sigh. "We've broken through another subset of the cipher. It's revealing... well, indications of a complex society, not unlike our own." His eyes met Alex's with an unspoken question that hung heavily between them—were they truly prepared for what they might find? - -Taylor Cruz strode into the room, a tightly coiled spring of ambition and authority, and peered at the screen. "Understand their society, and we may predict behavior. Remain expedient—we don't know how much time we have before the situation shifts." There was an edge of stark realism to Taylor's words, the underlying message clear: every revelation bore its own set of risks. - -Alex nodded thoughtfully, recognizing the validity of Cruz's caution. Turning to Sam, who was tinkering with a device that buzzed quietly on the table, he asked, “Sam, can your contraption get us any further?” - -Sam looked up with a smirk, a twinkle of mischief in their eye. “It’s not just any contraption, it’s potentially a direct line to their thoughts. Give me a moment more, and I'll have something for you.” - -The air ticked with electronic beeps and the rustling sound of the Paranormal Military Squad team at work. They were so close to peering into the intelligence of an alien race—a reality on the brink of dramatically expanding their understanding of the universe. - -The machinery whirred in response to Sam’s precise touches, and suddenly, the room filled with a low hum—something had changed, a signal had been successfully sent. The team held their breath as they listened. The sound that filled the room was unmistakable: a response, an alien voice filtered through the static of space and time. - -Alex exchanged a look of quiet triumph with Jordan. The breakthrough was monumental; they were no longer casting messages into the void but engaged in a dialogue—an exchange that marked the beginning of Operation: Dulce’s true unfolding. This was it, the first steps into an interstellar odyssey that demanded every ounce of their courage and wit. - -## Chapter 13 - -Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive." - -A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic." - -Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. - -Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field. - -The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._ - -As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. - -\* - -The gritty, wind-tossed surface of New Mexico, just above the cavernous domain of Dulce Base, offered no shelter from the burgeoning storm—the scouring sands an earthly reminder of chaos theories in motion. Far beneath, a similar maelstrom brewed within the confines of the command center, as Paranormal Military Squad's handpicked squad stood poised for potential enormities of contact. - -Ruffling through printed transmission logs, Jordan Hayes dialed the focus of their analytical prowess onto the emerging pattern of signals crisscrossing between Earth and the unfathomable. "Our responses so far have echoed their complexity, but the real divergence is yet to come," Jordan remarked stoically, the calm belying the mounting surge of adrenaline for the revelation ahead. - -Alex Mercer's figure, a silhouette sharpened by the purpose, loomed at the periphery of the monitors' sickly glow. "Indeed," he assented, "The echoes are the easy part. It will be the introduction of our own, human variable that truly begins our dialogue." - -Taylor Cruz, windowless command center notwithstanding, appeared as though they could feel the tempest above. Their eyes never left the monitors as they unspooled their hard wisdom. "For all our advances, we find ourselves deciphering the swings and nuances of an interstellar pendulum. Predict its arc, and we may preempt the gravity of its message." - -Amidst a chorus of bleeps and static, Sam Rivera's tech-clad hands moved rhythmically, their spirited approach to unruly streams of data bordering an intimate dance with entropy. "Entropy that leads to discovery," Sam mused, responding to Taylor's metaphor. "Each step into the unknown is a step away from precedent." - -Alex, drawing near Jordan, spoke again, his voice now a thread woven through the very fabric of their operations. "Let's be the cartographers of this new territory. Our initial shades of understanding could color the cosmos for generations to come." - -Their gazes fell upon a screen as the latest transmission painted its digital blooms of alien script across the black. This time, the pattern wavered in an almost imperceptible fashion, a modification that whispered of active, alien thought awaiting their next move. A hush enveloped the Paranormal Military Squad ensemble, the gravity of the pathogen undeniable. They were about to issue a reply, one poised to reshape the very concept of humanity's outreach into the cosmos. - -The New Mexico desert's secrets were infamous, its storms a mere prelude to the revelations that the team—united in purpose—would unleash upon the world. The howling winds outside found their counterpart in the newfound resolve within, as Dulce's stalwart guardians readied themselves to send forth humanity's retort to the echoes from beyond. - -\* - -The cavernous control room, deeply entrenched beneath the desolate New Mexico terrain, held the Paranormal Military Squad team in intense focus; an island of calm amid the storm of cosmic dialectics. Dr. Jordan Hayes worked methodically, every keystroke an intricate step in their tenuous cosmic ballet. Suddenly, they paused, a signal pattern resonating from the screen. "This is new; it's...inviting. It’s as if the signal is not just calling to us but weaving its intelligence through ours." - -Alex Mercer scrutinized the shift in data. "A confluence of minds, then. If we're to meet them halfway, Jordan, our reply must be both innovative and discerning," he proposed, a glimmer of profound curiosity behind his authoritative demeanor. - -Taylor Cruz, whose sharp eyes missed nothing, nodded from beside a secondary panel. "Innovative, yes, but also defensive. This interaction is a razor’s edge, and we cannot afford to bleed before the unknown," Taylor reminded them, the metaphor a stark warning of potential dangers. - -Against the backdrop of their conversation, Sam Rivera’s youthful optimism cut through the tension. "If they’re weaving through our intellect, then we've achieved something beyond first contact—we're at the genesis of interstellar symbiosis," they posited with a mix of reverence and excitement. - -Alex returned Sam’s smile with his own, tempered and faint, as he turned back to the task at hand. The magnitude of their mission extended beyond the fabric of the universe, an exploration into the threads that connected sentient beings across the vast expanse. “Let’s reply with our own woven tapestry of thought—delicate, but deliberate.” - -With renewed determination, the room came alive with an undercurrent of anticipation, its occupants charged with the potential of forging an alliance with the cosmos. Paranormal Military Squad's finest were no longer merely soldiers and scientists; they had become pioneers on the vanguard of humanity’s greatest odyssey. - -The New Mexican sands above, impassive to the change brewing underneath, stood as silent sentinels as Earth's emissaries crafted their response. A response that, composed with care and imbued with humanity's essence, reached into the void, connecting with an otherworldly intelligence that awaited their harmony in the cosmic conversation. - -## Chapter 14 - -The command center of Dulce Base lay shrouded in shadows that seemed to claw at the edges of the dimly lit array of screens and consoles. Alex Mercer, focused and unwavering, watched as Dr. Jordan Hayes parsed the latest string of alien signals—a symphony of otherworldly communications that threatened to either enlighten or confound. - -"We’re encountering a paradigm shift with every transmission," Jordan Hayes murmured, the pulsing glow of the monitor painting their features with an almost spectral hue. "This signal... it’s evolving, becoming denser, more sophisticated. As if it's growing alongside us—tandem evolution." - -The air was electric, charged with the raw potential of uncharted discovery and laden with the gravity of existential risk. Taylor Cruz, who always seemed here to mold such gravity into actionable strategies, stepped forward. "We must contain this evolution within parameters we can manage. We cannot be bystanders to an uncontrolled ascent of intelligence." - -Sam Rivera, the youngest of the cohort, worked feverishly at their station. "It's not just intelligence—these signals have rhythm, a kind of music suggesting not just evolution, but a dance! We're being invited to partake in the cosmos's ballet!" they exclaimed, a touch of youthful exuberance breaking through the solemnity. - -Alex turned, facing his team, the stoic mask of command tempered by the perceptible flicker of awe in his gaze. "Let this dance then be our dialogue. We will match their steps with prudent but daring measures—our humanity as our guide." - -In the ensuing hours, the Paranormal Military Squad team forged a rhythm of their own, their collective expertise a beacon piercing through the fog of the unknown. The signal, increasingly intricate and seemingly conscious, now demanded not just observation but participation, an interstellar pas de deux that hummed with the promise and peril of first contact. - -Before them, the communications interface flickered to life with a received transmission—a resonant hum that seemed to vibrate through the very foundations of the base. They had successfully established a back-and-forth with whatever intelligence lay hidden among the stars. Every subsequent note they struck within the cosmic ether would come to define humanity's place within the galactic community—heralds of Earth's grand entrance into a universe far less silent than once perceived. - -\* - -In the concrete belly of Dulce Base, dimly lit by the jagged dance of fluorescent lights above, Sam Rivera perched on the edge of their seat, their eager fingers fluttering across an ancient keyboard. The stark, cold room—reminiscent of a time when covert operations and unspoken dread ruled supreme—now housed a peculiar blend of old-world machinery and sleek, modern interfaces. - -Alex Mercer, standing steadfast like a bridge between the enigmatic past and the unfathomable present, watched on. In his eyes flashed the foreboding excitement of change. "Sam," he started, his voice steadfast, "the patterns in these signals, what do they tell us about the nature of our... guest?" - -Sam's eyes glimmered with something akin to thrill—or was it trepidation? "It's like we're mirroring each other, evolving together through this.. dialogue. Like it knows us, understands us, and it's… learning." - -Jordan Hayes, preoccupied at a nearby console, chimed in without lifting their gaze. "It's a dialogue that transcends mere words, Alex. We're being woven into a narrative far grander than the sum of our known sciences." - -Taylor Cruz, arms crossed, wore the heavy mantle of their skepticism comfortably. "Keep theorizing," they interjected crisply, "but remember the grounding reality of what we are part of here. This contact is a blade that cuts both ways." - -In this cavern of history, voices both human and inhuman whispered secrets to those brave enough to listen. Each member present understood the gravity that pulled at their feet; no longer were they mere mortals shackled to their terrestrial plane. The digital pings and encrypted calls resonated with an implication of a cosmic agenda that would not be ignored. - -Jordan's fingers paused, hovering in hesitation. What ripple might the next keystroke send through the fabric of known existence? It was a step into the ballet of the infinite, where the Paranormal Military Squad team played their part in the waltz of wonders with an audience of stars. - -\* - -## Chapter 15 - -In the clandestine hush of Dulce Base's subterranean command center, the Paranormal Military Squad team had become a crucible for interstellar communication. Dr. Jordan Hayes' gaze lingered on the screen as they navigated through the convolution of alien code. Each character held the potential to unravel a new dimension of contact, and with Sam Rivera's keen interjection, they were crafting humanity's inaugural cosmological discourse. - -Alex Mercer peered over Jordan's shoulder, calculating the implications of every visual nuance that cascaded across the monitor. "Look for consistency—any repeating motifs could signal a willingness to engage. We're drafting history with each exchange," he remarked, aware of the delicate balance between forging a bond and exposing vulnerabilities. - -Taylor Cruz, stoic and enigmatic, observed the interplay from the threshold, a silhouette against the machinery's luminescence. "Remember, while we seek common ground, the foundation we stand upon remains Terra firma. Caution must temper our curiosity," they stated, their voice an anchor amidst the current of excitement. - -The command center buzzed with energy, rivaled only by the tempest overhead that concealed their operation. Sam, with swift dexterity, navigated the communications relay. "Their signals resonate almost musically. It's as if they're composing a symphony, and we've been handed the baton to conduct the next movement," they offered, imbuing the scenario with a blend of scientific adventurism and poetic license. - -Amidst the whirring servers and the occasional flicker of emergency lighting, the essence of their mission transcended mere reconnaissance. They were humanity's elected envoys at the brink of a celestial alliance—or confrontation—with an audience as vast as the universe itself. - -Alex stepped back, his profile etched by the chamber's artificial day. "Then let's ensure our contribution to this symphony harmonizes with theirs. It's time for humanity's voice to rise and be counted among the cosmic ensemble." - -Under his directive, the Paranormal Military Squad team initiated their calculated response, weaving thoughts and theories into a digital overture aimed at the heart of alien intellect. As the digital stream punctured the endless night, each member of this clandestine group was acutely aware of the irrevocable step they undertook—bringing Earth into the pantheon of galactic entities designed to converse among the stars. - -\* - -Clusters of high-tech equipment bathed the Dulce underground command center in an eerie blue light. Sam Rivera's fingers flew across the keyboard, navigating an elaborate network of alien patterns. The very air seemed to pulse with the ebb and flow of cryptic communications reaching across the stars. "I've got something!" Sam's announcement tore through the focus in the room, drawing every pair of eyes to the torrent of symbols unraveling on the screen. - -With the pacing of a seasoned officer gauging the moment before action, Alex Mercer approached, his calm demeanor belying an acute awareness of the precipice on which they now stood. "Define 'something," Alex prompted, reinforcing the need for clarity amidst the extraordinary. - -"It's repeating—a sequence that’s evolved with each interaction, almost as if it's... singing," Sam theorized, the awe in their voice reflecting the potential magnitude of their discovery. - -Jordan Hayes interjected from across the console, their eyes not leaving the display as they absorbed the new data. "A cosmic vocalization, then," they mused, intrigued. "A singularity in the signal that might represent a point of reference for both parties." - -Taylor Cruz, hands clasped behind their back, regarded the unfolding scene, their own calculations etching lines of concern onto their stern visage. "Or a beacon—a homing tune, calling out to something we might not be ready to greet," Taylor offered, voicing the group's unspoken apprehension. - -Alex's eyes locked on the screen, taking in the scope of what they were attempting to interpret. Drawing a deep breath, Alex gave a slight nod. "If this is their song, then let us respond with ours. We've come this far by mirroring their signals, now let's engage in an interstellar duet, and see where the music leads us." - -With the expectation of the significant achieving a crescendo, the members of Paranormal Military Squad huddled over their equipment—sages at the threshold of a potentially world-altering communion. The strange harmonies that reverberated through the command center suggested that their interlocutors were poised, waiting, perhaps even eager, for Earth's chorus to join the symphony. - -As the team initiated their reply, weaving humanity's own intricate melody into the vast cosmic dialogue, they each felt a profound change within—an evolution of purpose. They were not just messengers or investigators; they had become co-composers in a galactic orchestra, with the universe itself as their witness and concert hall. - -With the exchange of harmonious signals crawling through the vacuum of space, the Paranormal Military Squad operatives found themselves part of a bridging of minds—a realization that out there, among the vast arrays of stars and planets, harmony was the true universal language. - -\* - -The dim glow of monitors cast an otherworldly ambiance upon Dulce Base's command center, where Paranormal Military Squad's chosen stood huddled over their instruments, suspended at history's threshold. Codes—alien in origin and nature—were being deciphered by Dr. Jordan Hayes, whose countenance bore the marks of deep concentration. - -Alex Mercer, the bedrock upon which their team's resolve was founded, leaned in with an eagerness tempered by his chain of command. "Jordan, we've invested our expertise into comprehending their patterns, but now we must also endeavor to understand their intent," he urged, his voice bearing the gravitas of their mission's potential consequences. - -At another console, Sam Rivera's youth did not betray their crucial role in the operation. With eyes alight, they mirrored the rapid computing before them. "There's emotion here—complex, profound even. This isn't just the output of a cold machine; it's...sentience," Sam whispered, nearly drowned by the mechanical chorus around them. - -Jordan, without shifting focus from their work, replied, "It's a sentience that—should we succeed here—ushers us into a new era of existence. The cadence of these signals," they tapped the screen with a flourish, "could well be the heartbeat of this new dawn." - -Taylor Cruz paused beside Mercer, their expression unreadable beneath the sterile light. "And as it beats, we must gauge whether its rhythm bodes well for us, or spells our missteps. Courage must not blind us to the hazards intrinsic to such contact," Taylor cautioned, the sentinel within them ever alert. - -Alex nodded, a gesture that carried the weight of responsibility and a silent command: proceed, but with circumspection. They were not merely decoding a message; they were interpreting a dialogue across the celestial divide. - -The room fell into a rhythm akin to a well-conducted ensemble. Each member's expertise proved a critical note in the unfolding symphony. Their actions were now more than mere research or defense; they were the tentative overtures of humankind reaching out to grasp the vast unknown. - -Textures of sound meshed with the light from countless computations, the palpable anticipation of the agents at the edge of discovery cresting with an awareness that their work would reshape future chronicles. And when the response finally came—a signal piercing the deafening silence of uncertainty—all within Dulce's confines understood: the dawn of an interstellar continuum had just begun to break. - -\* - -In the sterile hum and flickering lights of Dulce Base's command center, the Paranormal Military Squad team stood as humanity's vanguard, verging on the brim of an intergalactic abyss. Dr. Jordan Hayes, analytical edges sharp, deciphered extraterrestrial patterns that bled across screens in enigmatic cascades—a daunting mosaic of potential threats and untapped wisdom. - -Agent Alex Mercer, the embodiment of focus and a steadfast nerve, observed the unfolding digital drama with the gravitas due a historic first contact. "Let the data weave its narrative, Jordan," he instructed, a moderate undertone of exhilaration within his command. "It's encoding more than information—it's outlining civilization." - -Jordan absorbed the directive, their gaze unflinching from the screens, feeling the weight of their next move. "The nuances here are extraordinary," they acknowledged. "It paints a picture of a culture steeped in complexities we're only starting to fathom.” - -Taylor Cruz, stoicism personified yet not immune to the situation's gravity, chimed in. "Understand it, but guard against it," they cautioned, bringing a sober prudence to the room. "This culture, however advanced, remains an unknown quantity—an ocean of wonders and darkness with uncertain tides." - -Sam Rivera, a visual contrast with wide eyes and restless hands, represented the other side of the room — intrigue and optimism against the drawn swords of precaution. “Think of it,” they proposed, voice bouncing with a rebellious upbeat timbre, “as the first act of a play written in constellations. We're setting the stage for a galactic narrative.” - -Each team member, in their way, was both actor and scribe in this moment of tense pageantry. Heavy with the presence of risk, the command center had become not just a room of computers and glass panels but a theater for performing the elaborate choreography of contact. - -Bound by resolve and curiosity, they proceeded, each data entry a trembling step onto the cosmic stage. And like all cautious pioneers edging into fertile but unnavigated lands, they understood: as they mapped the heavens, they were simultaneously mapping the furthest reaches of their own existential horizons. - +In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce. \ No newline at end of file diff --git a/tests/fixtures/azure/settings.yml b/tests/fixtures/azure/settings.yml index 2ebe953fe0..5ecec80990 100644 --- a/tests/fixtures/azure/settings.yml +++ b/tests/fixtures/azure/settings.yml @@ -6,11 +6,7 @@ embeddings: type: "azure_ai_search" url: ${AZURE_AI_SEARCH_URL_ENDPOINT} api_key: ${AZURE_AI_SEARCH_API_KEY} - collection_name: "azure_ci" - query_collection_name: "azure_ci_query" - - entity_name_description: - title_column: "name" + container_name: "azure_ci" input: type: blob diff --git a/tests/fixtures/min-csv/config.json b/tests/fixtures/min-csv/config.json index fb15f5d4c8..11b2dceb51 100644 --- a/tests/fixtures/min-csv/config.json +++ b/tests/fixtures/min-csv/config.json @@ -5,140 +5,116 @@ "create_base_text_units": { "row_range": [ 1, - 2000 - ], - "subworkflows": 11, - "max_runtime": 10 - }, - "create_base_extracted_entities": { - "row_range": [ - 1, - 2000 - ], - "subworkflows": 2, - "max_runtime": 300 - }, - "create_summarized_entities": { - "row_range": [ - 1, - 2000 + 2500 ], "subworkflows": 1, - "max_runtime": 300 + "max_runtime": 150, + "expected_artifacts": 0 }, "create_base_entity_graph": { "row_range": [ 1, - 2000 + 2500 ], - "subworkflows": 2, - "max_runtime": 10 + "subworkflows": 1, + "max_runtime": 300, + "expected_artifacts": 0 }, "create_final_entities": { "row_range": [ 1, - 2000 + 2500 ], "nan_allowed_columns": [ "type", - "description", - "graph_embedding" + "description" ], - "subworkflows": 11, - "max_runtime": 300 + "subworkflows": 1, + "max_runtime": 300, + "expected_artifacts": 1 }, "create_final_relationships": { "row_range": [ 1, - 2000 + 6000 ], - "subworkflows": 8, - "max_runtime": 100 + "subworkflows": 1, + "max_runtime": 150, + "expected_artifacts": 1 }, "create_final_nodes": { "row_range": [ 1, - 2000 + 2500 ], "nan_allowed_columns": [ - "entity_type", "description", - "graph_embedding", "community", "level" ], - "subworkflows": 10, - "max_runtime": 10 + "subworkflows": 1, + "max_runtime": 150, + "expected_artifacts": 1 }, "create_final_communities": { "row_range": [ 1, - 2000 + 2500 ], - "subworkflows": 14, - "max_runtime": 10 + "subworkflows": 1, + "max_runtime": 150, + "expected_artifacts": 1 }, "create_final_community_reports": { "row_range": [ 1, - 2000 + 2500 ], "nan_allowed_columns": [ - "community_id", "title", "summary", "full_content", "full_content_json", "rank", "rank_explanation", - "findings" + "findings", + "period", + "size" ], - "subworkflows": 6, - "max_runtime": 300 - }, - "join_text_units_to_entity_ids": { - "row_range": [ - 1, - 2000 - ], - "subworkflows": 3, - "max_runtime": 10 - }, - "join_text_units_to_relationship_ids": { - "row_range": [ - 1, - 2000 - ], - "subworkflows": 4, - "max_runtime": 10 + "subworkflows": 1, + "max_runtime": 300, + "expected_artifacts": 1 }, "create_final_text_units": { "row_range": [ 1, - 2000 + 2500 ], "nan_allowed_columns": [ "relationship_ids", "entity_ids" ], - "subworkflows": 6, - "max_runtime": 100 + "subworkflows": 1, + "max_runtime": 150, + "expected_artifacts": 1 }, - "create_base_documents": { + "create_final_documents": { "row_range": [ 1, - 2000 + 2500 ], - "subworkflows": 8, - "max_runtime": 10 + "subworkflows": 1, + "max_runtime": 150, + "expected_artifacts": 1 }, - "create_final_documents": { + "generate_text_embeddings": { "row_range": [ 1, - 2000 + 2500 ], "subworkflows": 1, - "max_runtime": 100 + "max_runtime": 150, + "expected_artifacts": 1 } }, "query_config": [ @@ -152,4 +128,4 @@ } ], "slow": false -} \ No newline at end of file +} diff --git a/tests/fixtures/min-csv/input/dulce.txt b/tests/fixtures/min-csv/input/dulce.txt index 95c9e3cd3a..86975d38ad 100644 --- a/tests/fixtures/min-csv/input/dulce.txt +++ b/tests/fixtures/min-csv/input/dulce.txt @@ -182,789 +182,4 @@ As Sam and Alex nodded in unison, the icy chasm of hierarchy and cryptic protoco They filed out of the briefing room, their footsteps synchronized, a rhythm that spoke volumes of the unknown cadence they would soon march to within the base's veins. For Alex Mercer, the link with Sam Rivera, though distant, was now poised with a mutuality ready to be tested; for Taylor Cruz, the initiative pulsed like a heartbeat, anticipation thinly veiled behind a mask of duty. -In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce. - -## Chapter 4 - -The corridors of the Dulce military base were as silent as a tomb and twice as chilling. Alex Mercer walked with a surety that belied his bubbling undercurrents of doubt. The briefing had been definitive, sturdy pillars of facts and protocols, yet as he ventured deeper, the ominous atmosphere gnawed at him—a stark reminder of how much remained unknown. - -Jordan Hayes trailed a few steps behind, their detached exterior breaking for a moment as they caught up to Alex. "What's on your mind?" Jordan asked, their astuteness cutting through the unspoken tension. - -Alex glanced back at them. This place was a puzzle, a treacherous labyrinth where the walls whispered secrets, and among them, he sensed a call to question, to challenge the narrative they'd been sold. "The silence here... It's almost as if the base is waiting for something—or someone." - -"Just stay sharp, Mercer," Jordan cautioned, yet their eyes lingered on the quietude around them, conceiving the same shadow of doubt that unsettled Alex. - -Before they could delve into further discussion, the distinctive click of a safety catch echoed in the hollow space. Both agents turned to find Taylor Cruz standing resolute, primed for combat. Taylor's gaze was scrutinizing and cold, a stark contrast to the growing unease that smoldered silently amongst the rest. - -"Chatter is a liability," Taylor snapped, with a commanding flair that bordered on tyrannical. "We move forward, eyes open, mouths shut." - -Alex felt the tight grip of compliance strangle his gut, a lesson learned under the hard tutelage of rank and order. But here, in the bowels of Dulce, those instincts began to wane, the imperative to adhere now conflicting with the pressing urgency to confront the shadows they were enmeshed in. - -Then, unexpectedly, the lights flickered, a power fluctuation—or a sign? Alex's hand instinctively went to his sidearm, his mindset shifting from soldier to skeptic. The base, with its unyielding coldness, had just given them their first nudge into the realm of the speculative, an invitation to peel back the veneer of reality. - -"We should consider all possibilities," Alex murmured, more to himself than the others, his voice a barely audible breath against the sterile air of the complex. - -Taylor's posture stiffened at the challenge, yet their response was uncharacteristically reserved, notable in its lack of rebuke. "Agreed. For now, keep moving. But stay vigilant." - -A surprise—an echo of agreement from the last person Alex expected it from. And there it was, the glimpse of a wrinkle in the unyielding fabric of command, a hint that perhaps they were all starting to sense the strangeness that permeated this place. - -Progressing with determined steps, the trio moved deeper, silently acknowledging the evolution of their predicament. It was a small yet transformative concession to the unknown forces at play, an acknowledgment from each agent that, despite their disparate goals and ideals, the true nature of the Dulce base was an enigma that would forge new paths through their convictions. - -As they reached the central communications hub, the truth that awaited them lurked in the shadows, its eyes unseen but felt by all. The walls didn't just whisper now; they spoke in tones only the brave—or the foolish—would dare to listen to. - -\* - -The subterranean silence of Dulce was an oppressive entity of its own, wrapping the team in a cloak of uneasiness as they pressed on through the dimly lit corridor. Jordan Hayes found themselves contemplating the ramifications of each step taken into this suspended world, where the sterile air seemed to mock the gravity of their predicament. The closer they got to the communication hub, the more Jordan's mind wandered toward the realm of the inexplicable. - -Beside Jordan, Alex Mercer moved forward with deliberation, his gaze scanning the heavy utility doors they passed—one of which was partially ajar, beckoning them with its darkness. "After you, Dr. Hayes," Alex said, gesturing toward the mysterious opening. A hint of shared understanding passed between them; knowledge was the guiding star of this mission as much as confrontation or recovery. - -Jordan peered inside, the beam from their flashlight slicing through the obscurity. The room beyond was a chaotic cascade of papers, overturned furniture, and the particular kind of disorder born from hasty evacuation—or something far more sinister. - -"It's like they vanished in the middle of something urgent," Alex murmured, his voice tight with a mix of concern and anticipation. He began to sift through the scattered reports, each page a potential clue to the enigmatic silence that shrouded Dulce. - -Behind them, Taylor watched with a disciplined patience, their authority the foundation upon which the operation was built. Their voice cut into the stillness, a reminder of their presence, "Time is not our ally here." - -Drawing back from momentary distraction, Jordan acknowledged the wisdom in Taylor's words, yet could feel the shift in their stance—from skeptical, reserved analyst, to a proactive agent within the narrative. "You're right; these documents may hold critical insights. Let's collect what we can and analyze them properly." - -From the darkened hollows of the room, shadows seemed to cast subtle judgment as Alex and Jordan worked together with heightened urgency. Taylor, for once, didn't intervene but instead surveyed the entrance, their mind anticipating the unknown variables that lay ahead. - -Unexpectedly, a soft hiss emanated from a neglected terminal on the desk. Jordan's head snapped up, their heart rate accelerating at the potential ramifications. Without a word, they moved to the machine, hands driven by the newfound conviction that knowledge was more than power—it was survival. - -As Jordan began to extract what data they could from the terminal, the first comprehensible communication from the depths of Dulce in far too long crackled through: an automated distress marker, looping endlessly without further context. It was a revelation, one that reverberated through the group, confirming their fears and igniting an even greater need to press on. - -Watching Jordan's dogged determination, Alex witnessed the minor transformation in his colleague unfold—a shift from doubt to action, a sliver of belief in the possibilities beyond their rational understanding. This forge of resolve amidst the alien echoes of Dulce not only bonded them closer as a team but compelled them forward with a sharpened edge of responsibility to the truth, wherever it would lead. - -As they collected their findings and regrouped, the base around them imperceptibly changed, the air charged with the vibration of secrets poised on the brink of revelation. And in that charged silence, the group moved on, each now carrying pieces of a puzzle that would soon converge into a picture of galactic significance. - -\* - -In the chill of the cramped server room, the hum of machinery was the backbone to a symphony of data streams coursing through the air. Dr. Jordan Hayes, nerves alight with the mission's mounting unknowns, patched into the last known coordinates of the unsent distress broadcast they had uncovered. They were so close to the core now – to the truth behind the blackout – it was almost tangible. - -Beside them stood Agent Alex Mercer, ever the soldier, yet with eyes that betrayed an intellect craving to understand the murk beneath the surface. "Any progress, Dr. Hayes?" Alex queried, his voice betraying a subtle urgency. - -"Getting there," Jordan replied, fingers dancing across the keyboard. "Whoever sent this was cut off mid-transmission. It's as if Dulce itself swallowed the message whole." - -Taylor Cruz closed in, their frame casting a long shadow over the duo, evoking an almost palpable wall between them and the forward momentum of their mission. "Time is against us," Taylor intoned, more statement than threat. "What we uncover here determines our next course of action." - -Alex acknowledged Taylor with a brisk nod, his stance firm. Yet inwardly, the tightening grip he felt from Taylor's words couldn't throttle the swell of his own investigative instinct. His soldier's obedience had begun to war with the advocate's zeal for unveiling the dark heart of Dulce's secrets. - -And then, the unexpected occurred. The screens flashed in unison, spilling a discordant stream of symbols and images that defied immediate analysis. Jordan's breath caught – this was the response they had been fishing for, an alien communication protocol resonating just at the edge of human comprehension. - -Each member of the team felt it: a shift in the room’s very atmosphere, like a veil being drawn from their perception. Alex and Jordan stood still, absorbed in the bewilderment of contact, while Taylor, despite their authority, hesitated – a minor betrayal that unease was creeping into even their disciplined heart. - -"Thoughts, Rivera?" Taylor rallied, seeking the counsel of Sam Rivera, whose eyes were wide with exhilaration. - -Sam stepped forward, breaking the spell of stillness. "It's like nothing I've ever seen before, but I think I can bridge our systems to communicate," they declared, a wisp of optimism braiding their voice. They set about adapting their gear to transmute the foreign signals into something the team could dissect, their actions a testament to the mentorship and belief instilled in them by Mercer and the team. - -Taylor observed them, a cold calculation behind their facade, as they weighed the worth of this anomaly. It was a crossroad that potentially led to either monumental breakthrough or unprecedented catastrophe. "Once you've established a line, document everything. We can't afford to miss any detail," Taylor ordered, the words sharper than intended. - -The connection was made, and with trembling anticipation, the team listened as the first garbled outputs began to emerge, their very essence promising insights that could alter the course of history. It was an enigmatic dance with the unknown, the pulse of Dulce no longer just a place, but a herald to an alien register the team had yet to decipher. - -Together, they stood at the precipice of understanding, where the faint glow of their monitors cast more than just light – it cast the shadow of burgeoning transformation. It was in this moment, in the grasp of an extraterrestrial tongue, that the team, bound by a hunger for knowledge and the raw edge of survival, found their mission reframed from a search for answers to the articulation of a question humankind had yet to fully ask. - -Silent in their commune with the inexplicable frequency, they realized they were not merely investigators; they had become liaisons on behalf of Earth, interpreters of a cosmic message that could redefine their very existence. The implications loomed large, but now, they would not face them alone – they would face them as a united front, wrought together by the very mysteries that once drove them apart. - -## Chapter 5 - -Dr. Jordan Hayes clutched the edge of the briefing room table, their fingers white-knuckled against the laminate surface, as an array of constellations rotated on the projector—charts and graphs bleeding across the stars. In the dim room, nebulas and dark matter seemed within arm's reach, tangible yet unfathomable. - -Sam Rivera leaned back against the wall, arms crossed, gaze darting between the swirling cosmos and the faces of their companions. A taut line of concentration etched their young features, a mingling of fervent curiosity with the nascent understanding of the high stakes for which they played. - -Jordan's voice broke the profound silence. "The patterns in the signal disruptions sync with none other than zenithal star alignments. It's as if... as if these 'meet and greets' were scheduled, predestined by celestial mechanics." - -The statement hung heavy, daring the occupants of the room to unravel its implications. Alex Mercer, his prior military resolve momentarily suspended, absorbed the hypothesis with a visible hunger. "It's like we're adhering to an appointment we never knew we had," he murmured, his heart a drumbeat in his chest. - -Taylor Cruz snorted—a sound that clattered against the high concepts like a tumbledown shack in a futurist cityscape. Folding their arms, they glanced between the agents, their apprehension clad in the contempt of practicality. "What we need are facts, not mystic conjecture." - -Alex pivoted on his heel, facing Taylor squarely, and his voice found its edge of steel. "This isn't mysticism, Cruz. It's a hypothesis based on observed phenomena as unpredictable as the place we're standing in." - -Taylor's gaze never wavered, yet the slight twitch at the corner of their mouth belied their taut composure. "If there's a semblance of truth to it, then it's critical intel. But remember, we're not astrologers—we're soldiers and scientists." - -Jordan met Taylor’s gaze with a curt nod, accepting the caution even as the crucible of their intellect smoldered with the fervor of cosmic discovery. Their eyes flicked to Sam, whose steady presence and ready tech affirmed a burgeoning dynamic—the makings of a sentinel, standing guard over the threshold of human understanding and cosmic reality. - -With the projector casting pallid light over their features, each agent became a silhouette of purpose, shadows pillared against the backdrop of an endless universe. The story they were embroiled in would soon demand they plunge into darkness to retrieve the light of knowledge—a light that could very well redraw the shape of their world. - -They left the briefing room with a shared silence, each pondering the vast weave of celestial intent and terrestrial response, sensing that the galactic appointment to which they'd unwittingly RSVP’d was more insistent—and more threatening—than any operation they’d faced before. - -\* - -As the Paranormal Military Squad team convened in the heart of the Dulce military complex, an air of bristling expectation clung to the walls of the underground sanctum. Alex Mercer’s brow furrowed while watching his companions—Jordan Hayes, diligently setting up their makeshift lab station, and Sam Rivera meticulously checking the communication relays they had restored. Taylor Cruz observed with hawk-like focus, yet to betray the strain that their command posed on them. - -The gravity of the mission had shifted, deepened; each member of the team felt its pull, tethered to the understanding that they were now part of a larger narrative—a cosmic play with Earth as a stage and the human race unwitting actors. - -Jordan paused, a tension creeping across their shoulders as they aligned the satellite data with the alien message that had been decoded. "The instructions in this message," Jordan started, the timbre of their voice betraying their usual composure. "They're coordinates and... a warning." - -Sam leaned in, their eyes widening behind the glow of their laptop screen. "A warning? Like, ‘stay away from’, or ‘beware of’...?" Their words trailed off, uncertainty a new companion in their lexicon. - -Alex exhaled slowly, his mind racing to connect the dots. "It doesn't matter which," he said, decisive yet contemplative. "What matters is we understand intent. Are we being warned out of concern, or are we stumbling upon a threat?" - -Cruz’s iron-clad facade momentarily cracked, a fleeting glimpse of vulnerability flashing through their eyes. "We need to know if this entails additional risk to the operation," they said, directing their gaze specifically at Alex. "Mercer, I rely on you to keep the team grounded. No one goes off-course." - -Their reminder seemed both a command and a plea—rooted in an understanding that each member of the team now faced the duality of their roles, protectors of earthly secrets and heralds of potentially devastating revelations. - -Sam's fingers stilled mid-type, their task forgotten as they absorbed the weight of the unfolding reality. "We're the first line of defense... or detection," they mused half to themselves, a growing sense of agency within the larger play they were cast into. - -Jordan returned to the data, more resolute in their actions. The warning, whether cautionary or dire, was a beacon they no longer could ignore; its light casting aside shadows of doubt and igniting a collective purpose within the team. - -Alex watched Jordan and Sam, feeling a brotherhood in their shared quest. As Cruz paced, poised on the cusp of decisions that would mark their career and perhaps the fate of many, Alex knew the narrative had changed. They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve. - -Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril. - -Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer’s latter instincts gained precedence— the team’s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly hierarchies but by the pulsing symphony of the universe itself. - -\* - -The desert night loomed eerily still as echoes of hidden activity reverberated deep beneath the bleak sands of New Mexico. Diverting his gaze from the array of sensors before him, Jordan Hayes allowed a rare breath, deep and anxious. Turning to Alex Mercer's focused silhouette, the nocturnal landscape illuminated softly by makeshift floodlights, Jordan felt the syncopated tempo of apprehension and exhilaration jockey for primacy within. - -"The closer we get to unlocking these messages, the more I feel like we're peeling back layers of reality itself," Jordan confided, eyes not leaving the monitors that presented a constellation of data points. - -"Yes," Alex replied, his voice steady as he considered the implications of their discovery. "And we have to be ready for whatever we find beneath those layers. Whether it's a breakthrough or a Pandora's Box." - -Silence settled between them, broken only by the occasional buzz of communications equipment attempting to bridge terrestrial and extraterrestrial intelligences. Tense moments drifted by, laden with the expectant weight of near breakthrough, when a soft chime signaled an incoming transmission -- a rare sound that set every agent on high alert. - -Absent was the voice of Washington or Paranormal Military Squad command. Instead, a rhythmic series of pulses and tones filled the air, deliberately patterned, unmistakably non-human. - -Sam Rivera adjusted the sensitivity of the decoding equipment, their hands shaking with anticipation as much as focus. "I have it!" they announced, the signal transforming under their expertise into a sequence of visual symbols on the screen before them. - -Their shared excitement was palpable, a kinetic force resonating between the team members as they crowded around the display. - -"What does it say?" Taylor Cruz demanded, the urgency in his tone scraping against the newfound wonderment. - -Interpreting the alien syntax required not only decoding but intuition and empathy. The words that emerged upon the screen were at once coherent and enigmatic: "*Voyage. Convergence. Peril.*" - -The stark simplicity of the message struck them collectively, a chill breeze wafting through their resolve. - -Alex stepped forward, piecing together the cryptic communication with a growing sense of obligation. "It’s a call to action," he deduced, "or possibly a summons." - -Jordan's gaze met Alex’s, both understanding that this was no longer an investigation or mere extraction of hidden truths. This was humanity's unwitting enlistment into a galactic dialogue that defied boundaries of nation, creed, or protocol. - -Sam's eyes were aglow, not with fear, but with the profound acceptance of inevitability that comes with groundbreaking revelation. Moreover, within Taylor's stern exterior churned the seed of reluctant admiration for the unclassified, the uncharted realms they were approaching. - -Together, they accepted the pivot in their mission, readjusting their objectives from exploration to engagement, and from isolation to a communal outreach beyond the stars. As dawn's first light threatened the horizon, it became clear that they were no longer merely operatives of a clandestine governmental faction—they were delegates on behalf of Earth, embarking on a voyage orchestrated by destinies unrelated to the mere geopolitics of their world. - -Turning to each other, their silhouettes sketched against the coming dawn, the agents recognized the transformation within and amongst them. They were bound by more than duty—they were intricately woven into the fabric of an unfolding cosmic opera, one in which they had been granted an undeniable role. And as they set course for the coordinates that beckoned them like a distant siren's call, it was with a solemn dedication to not only uncover the mysteries ahead but to navigate the convergence, and the peril, as unified emissaries of a world on the cusp of a broader understanding. - -\* - -Beneath the hum of the fluorescent lights and the vigilance of silent monitors, Alex Mercer stood with his team in the threshold of the base's command center, their faces etched with the fatigue of hours spent unraveling galactic mysteries. Jordan Hayes broke the stillness with a delicate fusion of disbelief and resolve. "The signal..." they began, their tone deliberate, "it’s evolving. It’s not just sending a message—it’s responding to us." - -Taylor Cruz leaned over the console, their eyes narrowing with intrigue and a flicker of unease, studying the alternating patterns on the screen. "Responding? Like it’s alive?" Taylor asked, a question that bordered on the edge of wonder and alarm. - -Sam Rivera’s gaze was locked onto their interface, a digital orchestra at their fingertips. "It could be some form of advanced AI. Or something else entirely," they contributed, a note of exhilaration betraying the gravity of the situation. - -Alex paced before the terminal, absorbing the enormity of their predicament. Their mission—once rooted in the solid ground of military discipline and covert operations—had transcended into an encounter of unprecedented import. "We need to be cautious," he advised, his voice a low rumble of cautious strategy. "If this signal is intelligent, how we interact with it could dictate the outcome of this entire operation." - -Jordan met Alex's gaze with a nod, the weight of the responsibility shared and accepted. "We have protocols for first contact, but nothing for... this," Jordan admitted. The room was gripped with tension, each breath seemingly louder than the last. - -Then, with a sudden burst that filled the command center, the signal coalesced into a clear and distinct pattern which replicated and expanded, its complexity revealing the hand—or mind—of an intelligent architect. - -Taylor's instinct for command surged forth. "Prepare to record and analyze. Whatever it is, we need to understand it—" But their words were cut short as the signal surged, enveloping the room in a brief, blinding cascade of light. - -In that pulse of brilliance, a shared revelation coursed through the team. The signal had become a bridge, an extension of unknown consciousness reaching towards them, testing, communicating, searching. - -Alex stepped back from the light, feeling a profound change unravelling within him. The path forward would not be one of confrontation or conquest, but of connection and comprehension. - -Jordan turned to Alex and Taylor, seeing in their faces a reflection of the same metamorphosis taking place within themselves—a movement from observers to participants, from agents to ambassadors. - -With a collective breath, the team faced the kaleidoscope of lights. The alien signal, once a harbinger of enigma, was now a catalyst for transformation—a symphony of light and sound that echoed the beginnings of a new relationship between humanity and the alien unknown. - -And so, with deliberate steps, Alex Mercer led his team into the luminous fray. Science, protocol, and survival instinct harmonized within them, each member poised on the cusp of a new chapter in human history. - -They were no longer merely the instruments of Paranormal Military Squad's will—they were the vanguard of humankind’s first definitive leap into the cosmic community. - -With the last echoes of the signal resonating in the control room, they each embraced the sequencing of the transmission, the dance of extraterrestrial light that now wrote itself into their story. The chapter of Operation: Dulce drew to a close, but the narrative of their destiny had only just begun. - -## Chapter 6 - -\* - -The cool darkness of the command center at Dulce base was a stark contrast to the brewing storm outside, where the unforgiving New Mexico desert winds whispered of the hidden truths that lay buried deep beneath its surface. Dr. Jordan Hayes sat, their eyes fixed on the readout, the frenetic dance of symbols and numbers reflecting off their determined face. They were on the cusp of an epiphany, teetering between the widely accepted laws of physics and the promise of a new cosmic paradigm. - -Alex Mercer watched from across the room, noting the subtle shifts in Jordan’s posture that belied a developing readiness to embrace the unbelievable. “Find something?” Alex’s question, asked with a blend of curiosity and solidarity, bridged the gap between a command and a genuine query among equals. - -Jordan's response was slow, measured against the magnitude of their analysis. “This isn’t random static. It’s a pattern - a repeated sequence phasing in and out but distinctly artificial.” Jordan turned away from the screen, locking eyes with Alex. “This could change everything.” - -Sam Rivera leaned in, their eyes alight with the fires of revelation and a quenchless thirst for understanding. “A pattern means intention. Could it be a message?” - -A figure emerged from the doorway, casting a long shadow into the room - Taylor Cruz. “Intentions can be friendly, or hostile. We shouldn’t forget that,” said Taylor, bringing a dose of their usual pragmatism into the heart of discovery. - -Alex acknowledged Taylor’s caution with a nod, understanding the need to keep their feet grounded even as their spirits soared toward the unknown. “Then let’s be the first to find out which it is." - -The team gathered around the monitors, the soft tapping of Jordan's keystrokes now punctuated by the occasional crackle of Sam's radio equipment. The sound was almost ritualistic, a prelude to humanity’s potential first, knowing foray into a larger universe. - -Jordan’s fingers paused, suspended in mid-air. The signal had evolved, becoming a beacon that somehow felt less alien and more familiar. It was as if the complexities of their message were unfolding into something more accessible, more terrestrial. - -A hushed excitement swept through the room. The transformation suggested an awareness on the part of the unknown senders; a finesse that spoke volumes about their capabilities and perhaps their intentions. - -With the growing realization that they were engaging with an intelligence far exceeding their previous understanding, the team prepared to reach back across the cosmic divide. Prepared or not, they were no longer bystanders in this galactic narrative. They were active correspondents in an exchange that transcended galaxies and welcomed them into an expansive, possibly fraught, interstellar conversation. - -\* - -Inside the cavernous central hub of Dulce military base, Dr. Jordan Hayes stood in near-darkness, surrounded by a nest of cables and monitors that buzzed with silent, cryptic life. Jordan's eyes narrowed to focus on the sequences that danced across the screen—patterns that could unravel the cosmic enigma surrounding them. - -Alex Mercer approached with his characteristic stride, a signal of reliability in the chaos. "Status report, Dr. Hayes?" he inquired, his voice low, almost blending into the soundscape of beeping consoles and swirling fans. - -"We're on the brink of unravelling the signal's origin," Jordan replied, the weight of implications heavy in their tone. "There's intelligence behind it, a thought process alien to our own." - -As if summoned by their analysis, Taylor Cruz approached with authority radiating from every pore. "Understand this, we need to know if it's friend or foe. Don't get wrapped up in the existential—our lives may depend on the answers you provide." - -Sam Rivera, their hands adroitly adjusting a device to fine-tune the signal, chimed in with optimism undercut by anxious anticipation. "We're deciphering the comm encryption. Soon, we'll have a channel open—not just listening in, but speaking back." - -Alex nodded his understanding, his strategic mind processing the tactical implications while grappling with the more profound humanistic impact. "When we do, we'll tread carefully, communicate with purpose," he reassured the team. - -The operation had evolved rapidly, from a stealthy incursion into a clandestine labyrinth to an exchange with an extraterrestrial intellect. Their earlier trepidation transformed into determined focus, as they prepared to extend humanity’s hand into the vast unknown. - -An alert on one of the monitor stations snapped the team into alarm. The signal had not simply been waiting—it had been calculating. Now, it reached its crescendo, demanding their attention with a provocative urgency. - -Jordan's fingers raced over the keyboard, their eyes simultaneously interpreting data and sharing directives. "It’s a linguistic lock, a test of comprehension. We crack this, we establish dialogue." - -Taylor's presence was a beacon of steely resolve. "Then let’s solve it. This is what we trained for—the unknown." - -Alex and Sam exchanged a look that telegraphed their shared determination—this was not only the mission they had trained for; it was the mission they had been destined for. - -Together, the Paranormal Military Squad team leaned into the challenge, their minds honing in on the complex patterns with a singular goal: to unlock the conversation with an intelligence that had already begun to shift the foundations of what they knew, or thought they knew, about the universe. - -In a symphony of clicks and murmurs, they worked, knowing they were about to make a giant leap not just for themselves or Paranormal Military Squad, but for all of humanity. As the final pieces fell into place, Dulce's militaristic silence was shattered by the sound of intergalactic contact—by the sound of history being made. - -## Chapter 7 - -In the enclosed space of Dulce’s command center, the air was thick with anticipation, each team member poised to tread the razor's edge between scientific breakthrough and galactic peril. Dr. Jordan Hayes focused intently on the screen, their fingers tapping a staccato rhythm against the keyboard as lines of alien code cascaded down the monitor. - -Alex Mercer's steely gaze surveyed the room, stopping on each member of his team. "Thoughts?" he asked, echoing the unspoken tension. His question, while directed at the group, lingered on Jordan—acknowledging their expertise and inviting collaboration rather than dictating orders. - -Jordan’s brow furrowed, an indicator of the mental gymnastics being performed. "It's unprecedented," they finally said, their voice a testament to the gravity of the moment. "Behavioral algorithms... if we're right, this code could reveal extraterrestrial thought patterns." - -Before anyone could react, Taylor Cruz interjected with the assertiveness of someone accustomed to commandeering the discourse. "Then let’s ensure we’re deciphering it correctly," Taylor stated, their tone suggesting they were still battling to maintain control over an increasingly alien situation. - -Sam Rivera hovered near the mainframe, youthful energy barely contained under the surface. "What if it’s more than just a message? What if they’re trying to extend consciousness across the stars?" - -The room fell into a contemplative silence, broken only by the hum of electronic equipment and the distant thud of secured doors locking in rhythm. The weight of responsibility rested on each agent's shoulders—a heaviness palpable in the air they shared. - -Alex stepped forward, reaching a subtle decision, one dictated by foresight and the humanity nestled at the core of their mission. "We approach with the aim to understand, not to confront," he said, softening his military bearing into a more diplomatic stance. - -Jordan nodded, appreciating the leadership that Alex displayed in the face of the unknown, and turned back to the cryptic data. Here, before them all, was a tangible piece of evidence—proof of an extraterrestrial sentience that had outreached the bounds of their expectations. - -Taylor took a breath, simultaneously exuding a sense of preparedness and venturing into the unknown alongside their peers. "Then let’s do what Paranormal Military Squad does best—investigate and adapt," Taylor added, finding comfort in the familiar even as they stood on the cusp of an unprecedented alchemy of science and mystery. - -The team leaned into their respective roles, driven by the urgency of the assignment and the pull of an insatiable curiosity. Sam offered a grin that belied the tension, a youthfulness that reminded them all of the profound excitement nested within the terror of the unknown. - -Quietly but resolutely, they turned back to their instruments, each of them a sentinel on the threshold of a new reality. The once implicit lines of command were now woven into a shared tapestry of hierarchy and camaraderie. As they danced with the unknown, they were beacons of sentient endeavor, casting the light of human consciousness into the vast darkness that called to them. - -\* - -\* - -Dulce Base's cavernous darkness was pierced by the sharp luminescence of monitors, casting an electric glow onto the faces of those who dared to unearth its secrets. Dr. Jordan Hayes stood motionless, eyes glazed in concentration, their mind a nexus where terrestrial science battled with celestial unknowns. - -Alex Mercer watched from a slight distance, the weight of command tangible upon his shoulders, though lightened by the shared burden now held amongst them. "We could be on the frontier of a new kind of diplomacy," he mused aloud, giving voice to the moment's gravity. - -At those words, Jordan's trance broke. "If that's the case, then these communications," Jordan motioned to the stream of data, "are our olive branch across the cosmos." - -Taylor Cruz, who paced with restless energy, halted and faced the team—his stoicism marred by the erratic dance of lights reflected in his eyes. "An olive branch, or an invitation to a battlefield?" he posed, ever the strategist, his words laced with a hint of cynicism. - -Sam Rivera, nestled amongst an array of equipment, licked their lips—a mixture of nerves and anticipation palpable. "We're mapping out something incredible here. Whether it's peace or war, we're the cartographers." - -Silence enveloped them like the expanse of space itself, each member contemplating the chasms they might bridge—or the abysses into which they might unwittingly descend. - -Alex's demeanor assumed a quiet resolve—the profound knowledge that this mission was as much about navigating uncharted philosophical territories as it was about ensuring survival. "Whichever it proves to be, we'll face it. Prepared, unified." - -A nod passed between Jordan and Alex, a silent exchange of mutual respect and shared mission. Sam, buoyed by the weighty encounters of the mind and machinery, entered keystrokes with a fervor that seemed to bring them ever closer to the alien mind. - -They stood there, the Paranormal Military Squad team, not just as guardians of homeworld secrets or as soldiers of clandestine wars, but as humankind's chosen few at the fulcrum of history—a history that was now unfolding to the rhythm of otherworldly codes. - -Each revelation, each parsed symbol, inched them toward the line between the earthly and otherworldly. And as they stood on this precipice of cosmic negotiations, it was clear the ensuing dialogue would not just shape the future of Paranormal Military Squad—it could very well redefine the parameters of human existence. - -\* - -The hum of advanced computational systems tingling with cryptic transmissions framed the ambiance of Dulce's mainframe chamber. Jordan Hayes, fingers hovering over a console dense with blinking lights, furrowed their brow as sequences of alien data streamed across the screen. - -Alex materialized behind them, his presence a stable beacon amidst the technological whirlwind. "Look for patterns, anomalies. Anything that might resemble a handshake protocol in their communications," he directed, his voice a low thrum, reverberating with cautious optimism. - -Jordan cast a glance over their shoulder, acknowledging Alex's contribution with the shared understanding of colleagues who had transcended mere professional acquaintance. "I’m isolating sequences that seem to recur with more intention than static. If these are their ‘handshakes,’ then we might just be making first contact," they remarked, their focus returning to the screen with renewed vigor. - -From the other end of the room, where shadows married the artificial light, Sam's voice crackled through the static of nearby speakers, "Don't forget the anomalies we detected earlier. Each one could be a word, a sentence, or even a concept untranslatable to our current understandings." - -Resolute, Taylor Cruz stood at Jordan's other side, a stoic figure wrestling with the implications of their mission. "Keep pursuing this line," Taylor instructed, an undercurrent of intensity carried forth in their otherwise composed demeanor. "And remember, this isn't just about making contact; it's about securing knowledge for humanity." - -Alex offered a nod that spoke volumes, conveying his understanding of the stakes at play. Here, in this chamber of possibility, the team's actions would determine if humanity stood at the brink of a new age of understanding or the onset of an unprecedented threat. - -Every second thrummed with significance as Jordan and Sam worked in tandem, each keystroke a foray into the unknown. Taylor observed with a commander's scrutiny, the gravity of their role sustaining them against the waves of ambiguity breaking against their resolve. - -Pivotal moments come rarely in the course of human events but here, amidst the electronic symphony of a stalwart command center, lay the incepting notes of a cosmic overture. The harmony between human and alien, between Paranormal Military Squad and the vast reaches of space, began its first tentative measures, with each member of the team a vital instrument in a celestial ensemble yet to be fully heard. - -\* - -The crisp air within the mainframe room of Dulce base seemed to hum with unspoken possibilities. Jordan Hayes was the centerpiece of focus, their hands dancing methodically over the console as streams of otherworldly code cascaded down monitors, each flicker a potential key to the cosmic doors they were inching open. - -Alex Mercer watched, posture relaxed but eyes sharp. "Remember, this could be our first introduction, maybe even our first impression," he said, mindful of the gravity carried by each action they made henceforth. - -A hint of a smile touched Jordan's face, a small acknowledgment of the monumental task at hand. "Understood. I'm balancing the signal's syntax with our algorithms. If we're interpreting this correctly, it could be... well, an invitation." - -Into the electric tension of the chamber walked Taylor Cruz, their silhouette a sharp contrast against the cool lighting, radiating a presence that spoke of command and chilly tenacity. "An invitation, or a challenge?” Taylor questioned, the weight of their suspicion casting a different tint on the cascading data. - -Sam Rivera, in a corner arrayed with sophisticated equipment, piped up, their voice a buoyant note amidst the tentative atmosphere. "Either way, it's a connection. One that we're uniquely positioned to navigate," they remarked with an air of optimism threading through the uncertainty. - -Alex channeled the strengths of his team into the core of their approach, his leadership adapting to the contours of an unprecedented scenario. "Cautious and curious," he reflected aloud, shaping a strategy that balanced their thirst for comprehension with the prudence required in addressing the unknown. - -Jordan, hands momentarily at rest, looked up. The signal was more than a sequence of bits and commands—it was a riddle wrapped in the depths of space-time, and they were on the cusp of parsing its meaning. - -Taylor, hardly a step away, nodded in silent agreement. The implications of their findings might very well direct the course of human destiny from this point onward. - -Finding a tempo among themselves, the Dulce team was a confluence of ambition and acumen, each member intuitive to the beats of discovery. The chamber around them held untold stories, secrets coaxed from the stars, that now, led by Paranormal Military Squad's finest, began to unravel. - -The future in those moments was unwritten, a narrative scribed not in the dust of desert confines, but in the potential for interstellar diplomacy and understanding. As they prepared to script humanity's next chapter, the room seemed to pulse with the heartbeat of a story far greater than the sum of its parts. - -## Chapter 8 - -The grit of an earthbound dust storm contrasted sharply with the pristine sterility of the underground command center. Alex Mercer, eyes set with fervent determination, stood over Jordan Hayes, whose fingers danced across the keyboard with rapid purpose. Monitoring the progression of alien code unraveling before them, Mercer spoke with a tempered urgency, "Keep it steady, Jordan. We might be initiating the first true interspecies communication bridge here. It's all about finesse now." - -Taylor Cruz, the embodiment of military precision, surveyed the room with a calculated gaze from their vigil beside an array of glimmering screens. "Remember, these could be delicate negotiations -- or coded threats. Stay sharp," Cruz added, their voice cool as polished steel. - -Jordan, with a silent nod, recognized the gravity of both stances. Gravitating between scientific acuity and diplomatic caution, they replied, "The sequence is aligning—syncing with our comms. It's looking more and more like direct engagement." - -Amid the banks of electronic machinery, the thrumming pulse of an impending interspecies signal exchange, Sam Rivera interjected with a youthful zeal that cut through the weighty atmosphere, "It's not just an exchange. It's a... symphony. It's as if they're teaching us their language through modulation." - -A moment of profound silence swept over the team. The isolation of their location, deep within the top-secret labyrinth of Dulce, became suffused with an almost palpable sense of historical significance. - -"Then our response needs to be equally symphonic," Alex uttered, contemplating the awe-inspiring transmutation of their task from a simple recovery mission to a full-blown cosmic concerto. - -With a renewed sense of wonder tempered by caution, the Paranormal Military Squad team found themselves harmonizing a delicate balance between envoys and interpreters. The long shadow cast by their duty was now illuminated by the brilliant glow of otherworldly dialogue. - -In this carefully orchestrated march towards the unknown, each individual's expertise became critical notes in a larger melody. The narrative of human achievement, so often defined by solitary pursuits, now emerged as a collaborative opus, each member of the team a maestro in their right. - -The protocols of encounters, the mathematics of languages, and the poetics of connection all fused into a singular moment of convergence. The echo of their efforts reverberated back to them, not through the cavernous base's concrete walls, but from light-years away, in the form of a reply, intangible yet infinitely profound. - -\* - -Amidst the hum of the supercomputers and the faint static from the scrambled transmissions, Alex Mercer cast a thoughtful glance across the dimly lit room toward where Dr. Jordan Hayes was methodically adjusting the archaic dials of the decryption machine. "Any progress?" he asked, his tone conveying both impatience and the deep-seated respect born from countless shared challenges. - -Jordan did not look up, their gaze remained locked on the flickering lights that represented a dialogue suspended between worlds. Their fingers ceased their dance, hovering meditatively over the controls. "We might be on the cusp of a breakthrough," Jordan suggested. "The signal... it's evolved. It's reflexive now, responsive in a way that suggests sentience." - -Taylor Cruz's familiar sharp strides approached the two, breaking the rhythm of soft beeps. "Responsive is good, if it means understanding," Taylor said, head tilted as they peered at the encryption data scrolling by. "But remember, comprehension can bring revelation or conflict." - -Sam Rivera’s youthful voice permeated the tension, brimming with an excitement edged by the enormity of what they faced. "If it's truly sentient, we're not just cracking a code; we're learning how to converse with an entirely new form of consciousness," they chimed in, the weight of history not lost on the zealous astrotechnician. - -Alex nodded, his thoughts alighting on potential strategies for navigating the conversation they were cultivating with the unfathomable. "We need to keep that conversation going, echo its patterns, and speak its language," he resolved, knowing the delicate nature of their work merited every ounce of their collective acumen. - -The chamber now was a crucible, forging within it the future narrative of human contact with the unknown. Every signal pulse they sent out was an invitation for understanding, and every echo back a step closer to bridging the cosmic divide. And so, together, they stood - agents in Paranormal Military Squad's clandestine ranks, united by purpose, sculpting humanity’s first sonnets into the void. - -\* - -#### Knowledge graph updates - -- (Jordan Hayes, Interprets, Communications as cosmic diplomacy, Moderate) - -- (Taylor Cruz, Questions, Potential aggressiveness of alien intent, Minor) - -- (Sam Rivera, Expresses, Optimism about forming a connection, Minor) - -- (Alex Mercer, Adopts, Balanced strategy for contact, Moderate) - -- (Paranormal Military Squad team, Navigates, Beats of cosmic discovery, Moderate) - -- (Paranormal Military Squad team, Prepares, To script humanity's interstellar narrative, Major) - -## Chapter 9 - -The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. - -Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware." - -A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention. - -"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke." - -Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time." - -Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel." - -Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. - -They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. - -\* - -\* - -The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. - -Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware." - -A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention. - -"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke." - -Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time." - -Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel." - -Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. - -They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. - -\* - -Alex Mercer's eyes were fixed on the monitors, the reflected light casting an ethereal glow across his stoic face. The room buzzed with tension, a cacophony of low hums and electronic beeps that underscored the historic nature of their actions. He moved to where Dr. Jordan Hayes was immersed in their work, scrutinizing the alien code streaming rapidly down the terminal. - -"Find anything that might look like an entry point or a... digital handshake?" Alex asked, his voice steady, betraying none of the tension gripping his chest. - -Jordan looked up briefly, their expression weary yet intense, "Potentially. It's as if the code is anticipating our input, modifying itself in real-time. I've never seen anything like it." - -From across the room, Taylor Cruz's sharp voice cut through the hum. "Then it's learning or, possibly worse, baiting us. Proceed with extreme caution," they commanded, their firm stance reinforcing the gravity of the situation. - -Sam Rivera, surrounded by a cascade of screens and interfaces, added, "It's almost organic in its complexity. Any minute now, and I might have a way in." - -A slight nod was Alex's immediate response, his mind racing through the potential scenarios. "Everyone, stay alert. This could be the beginning of something profound." His seasoned eyes never left the unfolding drama on the monitors. - -The room fell silent, the air heavy with unspoken questions. Were they mere moments away from unlocking an otherworldly dialogue? Or was it a Pandora's box that, once opened, could not be closed? - -Alex moved closer to the main console, his fingers hovering over the command keys. With the precision of a maestro orchestrating a symphony, he communicated silently with Jordan – respectful of their expertise, aware that the next move could alter the course of human history. - -Jordan met his gaze, nodding sharply, and refocused on the task. The signal seemed to pulse with sentient curiosity, drawing them further into its intricate web. - -A sudden flurry of alerts and the intensifying glow of monitors heralded that they had bridged a technological chasm. The alien intelligence on the other end was no longer a distant enigma – it was an active participant, responding to their digital overtures with an unknown agenda. - -The team's meticulous efforts had led them to a momentous threshold. Beyond lay unprecedented contact – a nexus of curiosity and potential peril. Within the confines of the base, against the backdrop of a silent desert night, the Paranormal Military Squad operatives became mediators of Earth's bid for cosmic relevance, their every action now a gesture in the grand dance of intergalactic relations. - -## Chapter 10 - -The corridors of the Dulce military base, now silent, echoed with a history of whispered conspiracies and furtive movements. But in the command center, a delicate tapestry of light and sound was being woven as the echoes of cosmic dialogue resonated through the high-tech enclave. Dr. Jordan Hayes, now leading the efforts, called out from their workstation, "I’ve isolated the signal's harmonics. It's more than a call; it's a song, an interstellar siren’s call." - -Alex Mercer, steady and resilient in the face of the incomprehensible, acknowledged with a quiet nod, "A song that we need to learn—quickly." His eyes, heavy with responsibility, scanned the room, watching his team work tirelessly at the intersection of science and speculation. - -Sam Rivera, dulled by fatigue yet driven by unshakeable resolve, manipulated a complex array of audio interfaces. "There's a pattern, a repeating motif. It's structured, intentional," they muttered, their revelation a bridge between the known and the unimaginable. - -Taylor Cruz, a figure of central authority, paced the length of the room, their usual unflappable demeanor betraying a rare flicker of apprehension. "We should be wary of the sirens’ call," Taylor interjected, invoking myths of old as a cautionary metaphor. "We don't want to crash upon unseen shores." - -Undeterred, Jordan cast a determined glance at the team. "We navigate by starlight now, not by the limited light of our previous understanding." Their voice was a beacon, charting a course through unchartered realities. - -Every individual was acutely aware that each moment in that room was a conduit to an epochal shift for civilization. The mysterious signals, once distant and alien, had coalesced into complex and harmonious oscillations—beacons of an extraterrestrial intellect inviting Earth to join in a cosmic consortium. - -Silently, Alex approached the mainframe, his trained fingers aligning with the console’s mechanisms. The room watched in collective breathlessness as he set the frequency in motion, an introductory phrase to an otherworldly melody—a symphony that could bind worlds or spell devastation for all they knew. - -In the control room of Dulce, amongst whispered legends and the quiet hum of machines, humanity's ambassadors now stood, stretching their hands into the void, reaching for the hand that would either pull them into the light of new stars or into the maw of darkness between them. - -\* - -Underground, the Dulce facility's command center was awash with frenetic energy, a stark juxtaposition against the silent, decrepit corridors that enveloped them. The air hummed with anticipation as Dr. Jordan Hayes and Alex Mercer hunched over a console. The sterile light from the monitors cast an otherworldly glow upon their faces, now reflecting a mosaic of alien characters rapidly translating across the screen. - -"The patterns are evolving," Jordan murmured, concentration etched into their every feature. "It’s as if our attempts to decrypt have accelerated its learning. It’s adapting to us." - -Alex, who stood steadfast behind Jordan, felt a tinge of uncharted fear quickly quelled by the fire of discovery raging within him. "Keep it up," he urged. "But whatever this is becoming, we need to ensure it remains within our control." - -Taylor Cruz interjected, their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data. - -"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives ‘talking to strangers’ a whole new meaning." - -Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back." - -Together, they stood on the edge of the unknown, forging humanity’s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history. - -The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation of their investigative strategies. The air turned heavy with the scent of electricity and ambition as they closed in on a pivotal response. - -As the signal’s intelligence—whether artificial or biological—grew more profound, so too did the realization that their mission had morphed from passive observation to active engagement. There was no turning back now. Each agent embraced their part in the delicate dance of an interstellar exchange that could change everything they thought they knew about life, intelligence, and the dark void beyond Earth's atmosphere. - -\* - -The underground halls of Dulce Base, usually buzzing with covert operations, now thrummed with a different kind of energy, an electric mix of fear and fascination. At the heart of the base, in a room shielded from the world’s eyes, Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera huddled around a bank of monitors. Each screen flickered erratically with the alien script that had become the center of their lives—and perhaps the pivot on which humanity’s future would turn. - -Jordan's eyes never wavered from the displays, their expression was one of rapt concentration, interspersed with flashes of revelation. "We're conversing with the stars," they whispered, almost to themselves. The words hung in the air, a testament to the awe-inspiring strangeness of the situation. - -"The language is morphing; changing its structure with every exchange we have," Sam chimed in, enthusiasm tinged with the solemnity of the occasion. "It's like witnessing the birth of a new form of dialogue—one that spans galaxies." - -Taylor, despite the situation's precariousness, maintained an appearance of ironclad composure. "Keep the communication stream secured and monitored. We don't know what we're dealing with yet," they reminded the team, a bastion of protocol amidst uncertainty. - -Alex watched his team expand the parameters of human achievement; their work here would possibly define an era. "This is untrodden territory," he acknowledged, "and in every word we script, in every response we decode, we're drawing a map that others will follow." - -Jordan turned to Alex, a nod acknowledging the shared responsibility of this moment. They had embarked on a new voyage, an odyssey not of the body, but of the intellect and spirit. No longer explorers of the Earthly realm, they had been promoted by circumstance to ambassadors of humanity in a silent and boundless ocean. - -A sudden pulse of energy from the monitors signaled a breakthrough; the language had not only adapted but it seemed to resonate, to harmonize with their attempts at making contact. The alien script now sprawled across the screens didn't just ask to be understood—it invited interpretation, collaboration, maybe even companionship across the cold distances of space. - -As they stood before the precipice of first contact, Paranormal Military Squad's finest became the architects of a symphony meant to echo through the cosmos. But more than architects, they were the first to play the notes of this cosmic composition, daring to believe that on the other end, someone—or something—might be listening, ready to join the chorus. - -\* - -The underground command center of Dulce Base, once pulsing with clandestine operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. - -Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt." - -The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here." - -Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood." - -Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance. - -The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. - -A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. - -The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history. - -## Chapter 11 - -The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. - -\* - -The thrum of the colossal machinery vibrated through the subterranean facility as Alex Mercer stood amidst the whispers of technology, each carrying voices from worlds apart. He watched as Sam Rivera adjusted a complex array of cosmic translators, their expression a mixture of anticipation and awe. - -"Are we ready, Mercer?" Taylor Cruz asked, the soft glow of the command center consoles reflecting upon their stern face. - -Alex turned towards Taylor, his eyes holding a depth that betrayed the enormity of the threshold they were about to cross. "This is it," he said. "Initiate the protocol. It's time we answer the cosmos." - -Jordan Hayes, stationed at the mainframe, typed rhythmically, a blue hue painting their focused features. The eerie silence that had settled over the team was interrupted by a visceral sound—humankind's response to the alien dialogue, now streaming into the abyss. - -The control room, once a fortress of solitude, erupted into an oasis of life. Lights flickered in tandem, echoing the symphony of interstellar communication. They stood together at the edge of discovery, facing the symmetry and discord of a universe unknown. - -"If we're right, we've just become Earth's first emissaries to a celestial congress we're only beginning to comprehend," Jordan's voice was somber, resonating with a mix of trepidation and honor. - -The room filled with the resonance of human and alien minds converging, creating a new narrative within the fathomless expanse of existence. Paranormal Military Squad, once protectors of Earth's clandestine secrets, had now become the tether linking humanity to the cosmic fold. - -\* - -The underground command center of Dulce Base, once pulsing with covert operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. - -Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt." - -The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here." - -Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood." - -Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance. - -The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. - -A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. - -The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history. - -## Chapter 12 - -The underground facility of Dulce Base, once shrouded in silence and operational secrecy, now hummed with an energy that cradled the promise of cosmic revelation. Alex Mercer stood pensively by the central terminal, flanked by Dr. Jordan Hayes, Taylor Cruz, and Sam Rivera, each poised at the edge of a history-defining moment. - -Jordan's fingers ghosted across the console, tracing patterns of otherworldly origin. "The signal’s architecture is becoming more complex, resembling aspects of human cognition—recognition, learning, even... empathy?" they postulated with furrowed concern. - -Alex turned his gaze upon Jordan, his voice quiet but resolute, "Empathy could bridge galaxies. Let's harness this connection and proceed with cautious optimism." - -Taylor, ever the sober sentinel, projected a more pragmatic standpoint. "Empathy or not, we are duty-bound to assess the risk to humanity. Every new discovery warrants a measured response." - -The static hiss of communications equipment filled the air, its purpose now transformed into a dialogue with an intelligence beyond the stars. It was Sam, wide-eyed amid the myriad lights and switches, who broke the silence, "We have provisional confirmation of the signal’s intent—initiation. We’re being brought into a broader spectrum of cognizance." - -The chamber lay still for a heartbeat, the Paranormal Military Squad agents steeped in contemplation of the path unfurling before them—a path paved with possibilities of diplomacy or disruption, each step a venture further into the cosmic unknown. - -Alex stepped closer to the viewing monitors, each depicting alien symbols seemingly reaching out from the void. "Initiate the broadcast," he spoke with quiet command. "Our response will mark humanity’s readiness to partake in the wider conversation of conscious beings." - -Amidst the crackling air of expectation, the team wordlessly returned to their stations. They had transcended their roles as protectors of Earth's clandestine lore to become the harbingers of an interstellar parley that could change the existential course of life on their pale blue dot. - -The deep hum of the terminal emitted a signal—a testament to the uncanny reality that Earth was now actively partaking in an exchange not bound by gravity nor the limits of the solar wind. - -Here, in the depths of Dulce, a message from humanity woven from understanding and uncertainty was cast into the firmament, an epitheg of their desire to join the universal dialogue and discover their place among the constellations. - -\* - -The somber depths of the Dulce Base command center stood in stark counterpoint to the animated flurry of activity around the central comms array. Alex Mercer's silhouette loomed behind Dr. Jordan Hayes, who sat with a posture indicating laser focus on the decryption process. A quiet murmur of digital soundscape filled the space, subtly heightened by the anticipation of contact with an intelligence beyond the Earth. - -Jordan's voice was steady, betraying none of the extraordinary nature of their work, "Looking through the signal's pattern, it's evident we’re dealing with a form of intelligence—calculating, mirroring, possibly even understanding." - -Alex's reflection bounced off the darkened screens, his head nodding in silent affirmation. "We’re walking a delicate line. Our response should be thoughtful, measured. We’re ambassadors, not merely explorers." - -Taylor Cruz approached, arms folded, their words slicing through the din of careful keystrokes and soft whirrs, "If there’s even the slightest chance it understands, we can’t afford missteps. The language of the stars might be more absolute than ours." - -From another terminal, Sam Rivera brought youthful vigor to the conversation, "There’s rhythm in these patterns. If this is their way of reaching out, our reply should encapsulate all that we are—all that humanity stands for." - -Looking around at his team, Alex saw resolve etched on every face. The chamber, usually somber and echoing with the quiet steps of covert agents, now felt alive with the heartbeat of discovery. They were not just professionals operating in the gloom; they were a collective standing at the helm of a momentous journey. - -"Let’s begin," he said, returned by the resolve in his voice. "Every second counts." With that, they pressed forward, setting in motion a reply to a conversation billions of years in the making. - -The dance with an unseen partner commenced, each pulse they sent out a step taken with caution and hope. And as those digital pulses journeyed through the black sea of infinity, Earth, for perhaps the first time, joined a pan-galactic dialogue that whispered secrets of the cosmos—secrets that, until now, had been lost in the silent vastness of space. - -\* - -As the team stood in the centralized nerve center of Dulce's underground fortress, the solemn atmosphere was reverent, overseeing systems that engaged with an intelligence from the void. Alex's stance was contemplative as he gazed at Jordan Hayes, who presided over the console, the tension of the moment reaching a tactile fervor. Each rhythmic tap of Hayes's fingers on the keys was a foray into uncharted symphonies of contact. - -Observing Hayes unravel the dense alien encryption, Alex spoke, a diplomatic tenor underpinning his words, "Keep focused on the syntax, dissect its nuances. We're not just decoding signals; we're translating intentions." - -Without diverting from their task, Jordan acknowledged the insight. "Indeed, if their understanding of us is as deep as we hope, we're paving the way for dialogue far beyond our current realm." - -Taylor Cruz, near the rear of the room, provided a steady oversight. "As horizonless as our prospects may seem," Taylor intoned, "remain diligent. Complacency before alien cognition could spell catastrophe." - -Sam's youthful voice resonated with optimism, "Imagine—forming a rapport with a consciousness separate from our reality; we're drafting the bridge to stars alive with minds!" - -The sentiment hung for a moment before Alex gathered his conviction. "Dialogue is our vessel. We are not just agents of enigma; we are the threads that may weave a new cosmic relationship." His words seemed to reflect off the walls, reaching beyond the room's confines, a quiet yet resilient vow. - -Their task was titanic, stepping stones laid delicately into new territories of existence. The signal, once an esoteric strand in the echo of the universe, beckoned now with a clarity rocketing the complexity of thoughts from a distant order. - -Action by action, the Paranormal Military Squad team bridged the vast interstellar distances, their expertise and empathy casting a beacon of unity into frontiers of intelligence and knowledge. Their work, a partnership struck with an unseen cosmic congregation, each pulse sent and received a line in Earth's novitiate envoi to the cosmic shores. - -\* - -Under the stark, unforgiving lights of Dulce Base's underground command center, tension buzzed harder than the banks of supercomputers that lined the walls. Agent Alex Mercer leaned over the shoulder of Jordan Hayes, whose eyes were locked onto the display screen, where an incomprehensible series of alien symbols streamed past incessantly. - -“Any progress on the decryption?” Alex's voice was steady, a controlled presence necessary in the gravity of their undertaking. - -Jordan tapped a key, pausing the flow of code, and leaned back with a deep sigh. "We've broken through another subset of the cipher. It's revealing... well, indications of a complex society, not unlike our own." His eyes met Alex's with an unspoken question that hung heavily between them—were they truly prepared for what they might find? - -Taylor Cruz strode into the room, a tightly coiled spring of ambition and authority, and peered at the screen. "Understand their society, and we may predict behavior. Remain expedient—we don't know how much time we have before the situation shifts." There was an edge of stark realism to Taylor's words, the underlying message clear: every revelation bore its own set of risks. - -Alex nodded thoughtfully, recognizing the validity of Cruz's caution. Turning to Sam, who was tinkering with a device that buzzed quietly on the table, he asked, “Sam, can your contraption get us any further?” - -Sam looked up with a smirk, a twinkle of mischief in their eye. “It’s not just any contraption, it’s potentially a direct line to their thoughts. Give me a moment more, and I'll have something for you.” - -The air ticked with electronic beeps and the rustling sound of the Paranormal Military Squad team at work. They were so close to peering into the intelligence of an alien race—a reality on the brink of dramatically expanding their understanding of the universe. - -The machinery whirred in response to Sam’s precise touches, and suddenly, the room filled with a low hum—something had changed, a signal had been successfully sent. The team held their breath as they listened. The sound that filled the room was unmistakable: a response, an alien voice filtered through the static of space and time. - -Alex exchanged a look of quiet triumph with Jordan. The breakthrough was monumental; they were no longer casting messages into the void but engaged in a dialogue—an exchange that marked the beginning of Operation: Dulce’s true unfolding. This was it, the first steps into an interstellar odyssey that demanded every ounce of their courage and wit. - -## Chapter 13 - -Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive." - -A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic." - -Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. - -Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field. - -The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._ - -As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. - -\* - -The gritty, wind-tossed surface of New Mexico, just above the cavernous domain of Dulce Base, offered no shelter from the burgeoning storm—the scouring sands an earthly reminder of chaos theories in motion. Far beneath, a similar maelstrom brewed within the confines of the command center, as Paranormal Military Squad's handpicked squad stood poised for potential enormities of contact. - -Ruffling through printed transmission logs, Jordan Hayes dialed the focus of their analytical prowess onto the emerging pattern of signals crisscrossing between Earth and the unfathomable. "Our responses so far have echoed their complexity, but the real divergence is yet to come," Jordan remarked stoically, the calm belying the mounting surge of adrenaline for the revelation ahead. - -Alex Mercer's figure, a silhouette sharpened by the purpose, loomed at the periphery of the monitors' sickly glow. "Indeed," he assented, "The echoes are the easy part. It will be the introduction of our own, human variable that truly begins our dialogue." - -Taylor Cruz, windowless command center notwithstanding, appeared as though they could feel the tempest above. Their eyes never left the monitors as they unspooled their hard wisdom. "For all our advances, we find ourselves deciphering the swings and nuances of an interstellar pendulum. Predict its arc, and we may preempt the gravity of its message." - -Amidst a chorus of bleeps and static, Sam Rivera's tech-clad hands moved rhythmically, their spirited approach to unruly streams of data bordering an intimate dance with entropy. "Entropy that leads to discovery," Sam mused, responding to Taylor's metaphor. "Each step into the unknown is a step away from precedent." - -Alex, drawing near Jordan, spoke again, his voice now a thread woven through the very fabric of their operations. "Let's be the cartographers of this new territory. Our initial shades of understanding could color the cosmos for generations to come." - -Their gazes fell upon a screen as the latest transmission painted its digital blooms of alien script across the black. This time, the pattern wavered in an almost imperceptible fashion, a modification that whispered of active, alien thought awaiting their next move. A hush enveloped the Paranormal Military Squad ensemble, the gravity of the pathogen undeniable. They were about to issue a reply, one poised to reshape the very concept of humanity's outreach into the cosmos. - -The New Mexico desert's secrets were infamous, its storms a mere prelude to the revelations that the team—united in purpose—would unleash upon the world. The howling winds outside found their counterpart in the newfound resolve within, as Dulce's stalwart guardians readied themselves to send forth humanity's retort to the echoes from beyond. - -\* - -The cavernous control room, deeply entrenched beneath the desolate New Mexico terrain, held the Paranormal Military Squad team in intense focus; an island of calm amid the storm of cosmic dialectics. Dr. Jordan Hayes worked methodically, every keystroke an intricate step in their tenuous cosmic ballet. Suddenly, they paused, a signal pattern resonating from the screen. "This is new; it's...inviting. It’s as if the signal is not just calling to us but weaving its intelligence through ours." - -Alex Mercer scrutinized the shift in data. "A confluence of minds, then. If we're to meet them halfway, Jordan, our reply must be both innovative and discerning," he proposed, a glimmer of profound curiosity behind his authoritative demeanor. - -Taylor Cruz, whose sharp eyes missed nothing, nodded from beside a secondary panel. "Innovative, yes, but also defensive. This interaction is a razor’s edge, and we cannot afford to bleed before the unknown," Taylor reminded them, the metaphor a stark warning of potential dangers. - -Against the backdrop of their conversation, Sam Rivera’s youthful optimism cut through the tension. "If they’re weaving through our intellect, then we've achieved something beyond first contact—we're at the genesis of interstellar symbiosis," they posited with a mix of reverence and excitement. - -Alex returned Sam’s smile with his own, tempered and faint, as he turned back to the task at hand. The magnitude of their mission extended beyond the fabric of the universe, an exploration into the threads that connected sentient beings across the vast expanse. “Let’s reply with our own woven tapestry of thought—delicate, but deliberate.” - -With renewed determination, the room came alive with an undercurrent of anticipation, its occupants charged with the potential of forging an alliance with the cosmos. Paranormal Military Squad's finest were no longer merely soldiers and scientists; they had become pioneers on the vanguard of humanity’s greatest odyssey. - -The New Mexican sands above, impassive to the change brewing underneath, stood as silent sentinels as Earth's emissaries crafted their response. A response that, composed with care and imbued with humanity's essence, reached into the void, connecting with an otherworldly intelligence that awaited their harmony in the cosmic conversation. - -## Chapter 14 - -The command center of Dulce Base lay shrouded in shadows that seemed to claw at the edges of the dimly lit array of screens and consoles. Alex Mercer, focused and unwavering, watched as Dr. Jordan Hayes parsed the latest string of alien signals—a symphony of otherworldly communications that threatened to either enlighten or confound. - -"We’re encountering a paradigm shift with every transmission," Jordan Hayes murmured, the pulsing glow of the monitor painting their features with an almost spectral hue. "This signal... it’s evolving, becoming denser, more sophisticated. As if it's growing alongside us—tandem evolution." - -The air was electric, charged with the raw potential of uncharted discovery and laden with the gravity of existential risk. Taylor Cruz, who always seemed here to mold such gravity into actionable strategies, stepped forward. "We must contain this evolution within parameters we can manage. We cannot be bystanders to an uncontrolled ascent of intelligence." - -Sam Rivera, the youngest of the cohort, worked feverishly at their station. "It's not just intelligence—these signals have rhythm, a kind of music suggesting not just evolution, but a dance! We're being invited to partake in the cosmos's ballet!" they exclaimed, a touch of youthful exuberance breaking through the solemnity. - -Alex turned, facing his team, the stoic mask of command tempered by the perceptible flicker of awe in his gaze. "Let this dance then be our dialogue. We will match their steps with prudent but daring measures—our humanity as our guide." - -In the ensuing hours, the Paranormal Military Squad team forged a rhythm of their own, their collective expertise a beacon piercing through the fog of the unknown. The signal, increasingly intricate and seemingly conscious, now demanded not just observation but participation, an interstellar pas de deux that hummed with the promise and peril of first contact. - -Before them, the communications interface flickered to life with a received transmission—a resonant hum that seemed to vibrate through the very foundations of the base. They had successfully established a back-and-forth with whatever intelligence lay hidden among the stars. Every subsequent note they struck within the cosmic ether would come to define humanity's place within the galactic community—heralds of Earth's grand entrance into a universe far less silent than once perceived. - -\* - -In the concrete belly of Dulce Base, dimly lit by the jagged dance of fluorescent lights above, Sam Rivera perched on the edge of their seat, their eager fingers fluttering across an ancient keyboard. The stark, cold room—reminiscent of a time when covert operations and unspoken dread ruled supreme—now housed a peculiar blend of old-world machinery and sleek, modern interfaces. - -Alex Mercer, standing steadfast like a bridge between the enigmatic past and the unfathomable present, watched on. In his eyes flashed the foreboding excitement of change. "Sam," he started, his voice steadfast, "the patterns in these signals, what do they tell us about the nature of our... guest?" - -Sam's eyes glimmered with something akin to thrill—or was it trepidation? "It's like we're mirroring each other, evolving together through this.. dialogue. Like it knows us, understands us, and it's… learning." - -Jordan Hayes, preoccupied at a nearby console, chimed in without lifting their gaze. "It's a dialogue that transcends mere words, Alex. We're being woven into a narrative far grander than the sum of our known sciences." - -Taylor Cruz, arms crossed, wore the heavy mantle of their skepticism comfortably. "Keep theorizing," they interjected crisply, "but remember the grounding reality of what we are part of here. This contact is a blade that cuts both ways." - -In this cavern of history, voices both human and inhuman whispered secrets to those brave enough to listen. Each member present understood the gravity that pulled at their feet; no longer were they mere mortals shackled to their terrestrial plane. The digital pings and encrypted calls resonated with an implication of a cosmic agenda that would not be ignored. - -Jordan's fingers paused, hovering in hesitation. What ripple might the next keystroke send through the fabric of known existence? It was a step into the ballet of the infinite, where the Paranormal Military Squad team played their part in the waltz of wonders with an audience of stars. - -\* - -## Chapter 15 - -In the clandestine hush of Dulce Base's subterranean command center, the Paranormal Military Squad team had become a crucible for interstellar communication. Dr. Jordan Hayes' gaze lingered on the screen as they navigated through the convolution of alien code. Each character held the potential to unravel a new dimension of contact, and with Sam Rivera's keen interjection, they were crafting humanity's inaugural cosmological discourse. - -Alex Mercer peered over Jordan's shoulder, calculating the implications of every visual nuance that cascaded across the monitor. "Look for consistency—any repeating motifs could signal a willingness to engage. We're drafting history with each exchange," he remarked, aware of the delicate balance between forging a bond and exposing vulnerabilities. - -Taylor Cruz, stoic and enigmatic, observed the interplay from the threshold, a silhouette against the machinery's luminescence. "Remember, while we seek common ground, the foundation we stand upon remains Terra firma. Caution must temper our curiosity," they stated, their voice an anchor amidst the current of excitement. - -The command center buzzed with energy, rivaled only by the tempest overhead that concealed their operation. Sam, with swift dexterity, navigated the communications relay. "Their signals resonate almost musically. It's as if they're composing a symphony, and we've been handed the baton to conduct the next movement," they offered, imbuing the scenario with a blend of scientific adventurism and poetic license. - -Amidst the whirring servers and the occasional flicker of emergency lighting, the essence of their mission transcended mere reconnaissance. They were humanity's elected envoys at the brink of a celestial alliance—or confrontation—with an audience as vast as the universe itself. - -Alex stepped back, his profile etched by the chamber's artificial day. "Then let's ensure our contribution to this symphony harmonizes with theirs. It's time for humanity's voice to rise and be counted among the cosmic ensemble." - -Under his directive, the Paranormal Military Squad team initiated their calculated response, weaving thoughts and theories into a digital overture aimed at the heart of alien intellect. As the digital stream punctured the endless night, each member of this clandestine group was acutely aware of the irrevocable step they undertook—bringing Earth into the pantheon of galactic entities designed to converse among the stars. - -\* - -Clusters of high-tech equipment bathed the Dulce underground command center in an eerie blue light. Sam Rivera's fingers flew across the keyboard, navigating an elaborate network of alien patterns. The very air seemed to pulse with the ebb and flow of cryptic communications reaching across the stars. "I've got something!" Sam's announcement tore through the focus in the room, drawing every pair of eyes to the torrent of symbols unraveling on the screen. - -With the pacing of a seasoned officer gauging the moment before action, Alex Mercer approached, his calm demeanor belying an acute awareness of the precipice on which they now stood. "Define 'something," Alex prompted, reinforcing the need for clarity amidst the extraordinary. - -"It's repeating—a sequence that’s evolved with each interaction, almost as if it's... singing," Sam theorized, the awe in their voice reflecting the potential magnitude of their discovery. - -Jordan Hayes interjected from across the console, their eyes not leaving the display as they absorbed the new data. "A cosmic vocalization, then," they mused, intrigued. "A singularity in the signal that might represent a point of reference for both parties." - -Taylor Cruz, hands clasped behind their back, regarded the unfolding scene, their own calculations etching lines of concern onto their stern visage. "Or a beacon—a homing tune, calling out to something we might not be ready to greet," Taylor offered, voicing the group's unspoken apprehension. - -Alex's eyes locked on the screen, taking in the scope of what they were attempting to interpret. Drawing a deep breath, Alex gave a slight nod. "If this is their song, then let us respond with ours. We've come this far by mirroring their signals, now let's engage in an interstellar duet, and see where the music leads us." - -With the expectation of the significant achieving a crescendo, the members of Paranormal Military Squad huddled over their equipment—sages at the threshold of a potentially world-altering communion. The strange harmonies that reverberated through the command center suggested that their interlocutors were poised, waiting, perhaps even eager, for Earth's chorus to join the symphony. - -As the team initiated their reply, weaving humanity's own intricate melody into the vast cosmic dialogue, they each felt a profound change within—an evolution of purpose. They were not just messengers or investigators; they had become co-composers in a galactic orchestra, with the universe itself as their witness and concert hall. - -With the exchange of harmonious signals crawling through the vacuum of space, the Paranormal Military Squad operatives found themselves part of a bridging of minds—a realization that out there, among the vast arrays of stars and planets, harmony was the true universal language. - -\* - -The dim glow of monitors cast an otherworldly ambiance upon Dulce Base's command center, where Paranormal Military Squad's chosen stood huddled over their instruments, suspended at history's threshold. Codes—alien in origin and nature—were being deciphered by Dr. Jordan Hayes, whose countenance bore the marks of deep concentration. - -Alex Mercer, the bedrock upon which their team's resolve was founded, leaned in with an eagerness tempered by his chain of command. "Jordan, we've invested our expertise into comprehending their patterns, but now we must also endeavor to understand their intent," he urged, his voice bearing the gravitas of their mission's potential consequences. - -At another console, Sam Rivera's youth did not betray their crucial role in the operation. With eyes alight, they mirrored the rapid computing before them. "There's emotion here—complex, profound even. This isn't just the output of a cold machine; it's...sentience," Sam whispered, nearly drowned by the mechanical chorus around them. - -Jordan, without shifting focus from their work, replied, "It's a sentience that—should we succeed here—ushers us into a new era of existence. The cadence of these signals," they tapped the screen with a flourish, "could well be the heartbeat of this new dawn." - -Taylor Cruz paused beside Mercer, their expression unreadable beneath the sterile light. "And as it beats, we must gauge whether its rhythm bodes well for us, or spells our missteps. Courage must not blind us to the hazards intrinsic to such contact," Taylor cautioned, the sentinel within them ever alert. - -Alex nodded, a gesture that carried the weight of responsibility and a silent command: proceed, but with circumspection. They were not merely decoding a message; they were interpreting a dialogue across the celestial divide. - -The room fell into a rhythm akin to a well-conducted ensemble. Each member's expertise proved a critical note in the unfolding symphony. Their actions were now more than mere research or defense; they were the tentative overtures of humankind reaching out to grasp the vast unknown. - -Textures of sound meshed with the light from countless computations, the palpable anticipation of the agents at the edge of discovery cresting with an awareness that their work would reshape future chronicles. And when the response finally came—a signal piercing the deafening silence of uncertainty—all within Dulce's confines understood: the dawn of an interstellar continuum had just begun to break. - -\* - -In the sterile hum and flickering lights of Dulce Base's command center, the Paranormal Military Squad team stood as humanity's vanguard, verging on the brim of an intergalactic abyss. Dr. Jordan Hayes, analytical edges sharp, deciphered extraterrestrial patterns that bled across screens in enigmatic cascades—a daunting mosaic of potential threats and untapped wisdom. - -Agent Alex Mercer, the embodiment of focus and a steadfast nerve, observed the unfolding digital drama with the gravitas due a historic first contact. "Let the data weave its narrative, Jordan," he instructed, a moderate undertone of exhilaration within his command. "It's encoding more than information—it's outlining civilization." - -Jordan absorbed the directive, their gaze unflinching from the screens, feeling the weight of their next move. "The nuances here are extraordinary," they acknowledged. "It paints a picture of a culture steeped in complexities we're only starting to fathom.” - -Taylor Cruz, stoicism personified yet not immune to the situation's gravity, chimed in. "Understand it, but guard against it," they cautioned, bringing a sober prudence to the room. "This culture, however advanced, remains an unknown quantity—an ocean of wonders and darkness with uncertain tides." - -Sam Rivera, a visual contrast with wide eyes and restless hands, represented the other side of the room — intrigue and optimism against the drawn swords of precaution. “Think of it,” they proposed, voice bouncing with a rebellious upbeat timbre, “as the first act of a play written in constellations. We're setting the stage for a galactic narrative.” - -Each team member, in their way, was both actor and scribe in this moment of tense pageantry. Heavy with the presence of risk, the command center had become not just a room of computers and glass panels but a theater for performing the elaborate choreography of contact. - -Bound by resolve and curiosity, they proceeded, each data entry a trembling step onto the cosmic stage. And like all cautious pioneers edging into fertile but unnavigated lands, they understood: as they mapped the heavens, they were simultaneously mapping the furthest reaches of their own existential horizons. - +In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce. \ No newline at end of file diff --git a/tests/fixtures/min-csv/settings.yml b/tests/fixtures/min-csv/settings.yml index 57a00c2751..b3e5b4e92a 100644 --- a/tests/fixtures/min-csv/settings.yml +++ b/tests/fixtures/min-csv/settings.yml @@ -4,17 +4,21 @@ input: embeddings: vector_store: type: "lancedb" - uri_db: "./tests/fixtures/min-csv/lancedb" - store_in_table: True + db_uri: "./tests/fixtures/min-csv/lancedb" + container_name: "lancedb_ci" + overwrite: True - entity_name_description: - title_column: "name" - # id_column: "id" - # overwrite: true - # entity_name: ... - # relationship_description: ... - # community_report_full_content: ... - # community_report_summary: ... - # community_report_title: ... - # document_raw_content: ... - # text_unit_text: ... +storage: + type: file # or blob + base_dir: "output/${timestamp}/artifacts" + # connection_string: + # container_name: + +reporting: + type: file # or console, blob + base_dir: "output/${timestamp}/reports" + # connection_string: + # container_name: + +snapshots: + embeddings: True \ No newline at end of file diff --git a/tests/fixtures/text/config.json b/tests/fixtures/text/config.json index 809ca0f624..0b5ca26581 100644 --- a/tests/fixtures/text/config.json +++ b/tests/fixtures/text/config.json @@ -5,167 +5,134 @@ "create_base_text_units": { "row_range": [ 1, - 2000 + 2500 ], - "subworkflows": 11, - "max_runtime": 10 + "subworkflows": 1, + "max_runtime": 150, + "expected_artifacts": 0 }, - "create_base_extracted_entities": { + "create_base_entity_graph": { "row_range": [ 1, - 2000 + 2500 ], - "subworkflows": 2, - "max_runtime": 300 + "subworkflows": 1, + "max_runtime": 300, + "expected_artifacts": 0 }, "create_final_covariates": { "row_range": [ 1, - 2000 + 2500 ], "nan_allowed_columns": [ "type", "description", - "subject_type", "object_id", - "object_type", "status", "start_date", "end_date", "source_text" ], - "subworkflows": 6, - "max_runtime": 300 - }, - "create_summarized_entities": { - "row_range": [ - 1, - 2000 - ], "subworkflows": 1, - "max_runtime": 300 - }, - "join_text_units_to_covariate_ids": { - "row_range": [ - 1, - 2000 - ], - "subworkflows": 2, - "max_runtime": 10 - }, - "create_base_entity_graph": { - "row_range": [ - 1, - 2000 - ], - "subworkflows": 2, - "max_runtime": 10 + "max_runtime": 300, + "expected_artifacts": 1 }, "create_final_entities": { "row_range": [ 1, - 2000 + 2500 ], "nan_allowed_columns": [ "type", - "description", - "graph_embedding" + "description" ], - "subworkflows": 11, - "max_runtime": 300 + "subworkflows": 1, + "max_runtime": 300, + "expected_artifacts": 1 }, "create_final_relationships": { "row_range": [ 1, - 2000 + 6000 ], - "subworkflows": 8, - "max_runtime": 100 + "subworkflows": 1, + "max_runtime": 150, + "expected_artifacts": 1 }, "create_final_nodes": { "row_range": [ 1, - 2000 + 2500 ], "nan_allowed_columns": [ - "entity_type", "description", - "graph_embedding", "community", "level" ], - "subworkflows": 10, - "max_runtime": 10 + "subworkflows": 1, + "max_runtime": 150, + "expected_artifacts": 1 }, "create_final_communities": { "row_range": [ 1, - 2000 + 2500 ], - "subworkflows": 14, - "max_runtime": 10 + "subworkflows": 1, + "max_runtime": 150, + "expected_artifacts": 1 }, "create_final_community_reports": { "row_range": [ 1, - 2000 + 2500 ], "nan_allowed_columns": [ - "community_id", "title", "summary", "full_content", "full_content_json", "rank", "rank_explanation", - "findings" + "findings", + "period", + "size" ], - "subworkflows": 7, - "max_runtime": 300 - }, - "join_text_units_to_entity_ids": { - "row_range": [ - 1, - 2000 - ], - "subworkflows": 3, - "max_runtime": 10 - }, - "join_text_units_to_relationship_ids": { - "row_range": [ - 1, - 2000 - ], - "subworkflows": 4, - "max_runtime": 10 + "subworkflows": 1, + "max_runtime": 300, + "expected_artifacts": 1 }, "create_final_text_units": { "row_range": [ 1, - 2000 + 2500 ], "nan_allowed_columns": [ "relationship_ids", "entity_ids" ], - "subworkflows": 7, - "max_runtime": 100 + "subworkflows": 1, + "max_runtime": 150, + "expected_artifacts": 1 }, - "create_base_documents": { + "create_final_documents": { "row_range": [ 1, - 2000 + 2500 ], - "subworkflows": 8, - "max_runtime": 10 + "subworkflows": 1, + "max_runtime": 150, + "expected_artifacts": 1 }, - "create_final_documents": { + "generate_text_embeddings": { "row_range": [ 1, - 2000 + 2500 ], "subworkflows": 1, - "max_runtime": 100 + "max_runtime": 150, + "expected_artifacts": 1 } }, "query_config": [ @@ -179,4 +146,4 @@ } ], "slow": false -} \ No newline at end of file +} diff --git a/tests/fixtures/text/input/dulce.txt b/tests/fixtures/text/input/dulce.txt index 95c9e3cd3a..86975d38ad 100644 --- a/tests/fixtures/text/input/dulce.txt +++ b/tests/fixtures/text/input/dulce.txt @@ -182,789 +182,4 @@ As Sam and Alex nodded in unison, the icy chasm of hierarchy and cryptic protoco They filed out of the briefing room, their footsteps synchronized, a rhythm that spoke volumes of the unknown cadence they would soon march to within the base's veins. For Alex Mercer, the link with Sam Rivera, though distant, was now poised with a mutuality ready to be tested; for Taylor Cruz, the initiative pulsed like a heartbeat, anticipation thinly veiled behind a mask of duty. -In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce. - -## Chapter 4 - -The corridors of the Dulce military base were as silent as a tomb and twice as chilling. Alex Mercer walked with a surety that belied his bubbling undercurrents of doubt. The briefing had been definitive, sturdy pillars of facts and protocols, yet as he ventured deeper, the ominous atmosphere gnawed at him—a stark reminder of how much remained unknown. - -Jordan Hayes trailed a few steps behind, their detached exterior breaking for a moment as they caught up to Alex. "What's on your mind?" Jordan asked, their astuteness cutting through the unspoken tension. - -Alex glanced back at them. This place was a puzzle, a treacherous labyrinth where the walls whispered secrets, and among them, he sensed a call to question, to challenge the narrative they'd been sold. "The silence here... It's almost as if the base is waiting for something—or someone." - -"Just stay sharp, Mercer," Jordan cautioned, yet their eyes lingered on the quietude around them, conceiving the same shadow of doubt that unsettled Alex. - -Before they could delve into further discussion, the distinctive click of a safety catch echoed in the hollow space. Both agents turned to find Taylor Cruz standing resolute, primed for combat. Taylor's gaze was scrutinizing and cold, a stark contrast to the growing unease that smoldered silently amongst the rest. - -"Chatter is a liability," Taylor snapped, with a commanding flair that bordered on tyrannical. "We move forward, eyes open, mouths shut." - -Alex felt the tight grip of compliance strangle his gut, a lesson learned under the hard tutelage of rank and order. But here, in the bowels of Dulce, those instincts began to wane, the imperative to adhere now conflicting with the pressing urgency to confront the shadows they were enmeshed in. - -Then, unexpectedly, the lights flickered, a power fluctuation—or a sign? Alex's hand instinctively went to his sidearm, his mindset shifting from soldier to skeptic. The base, with its unyielding coldness, had just given them their first nudge into the realm of the speculative, an invitation to peel back the veneer of reality. - -"We should consider all possibilities," Alex murmured, more to himself than the others, his voice a barely audible breath against the sterile air of the complex. - -Taylor's posture stiffened at the challenge, yet their response was uncharacteristically reserved, notable in its lack of rebuke. "Agreed. For now, keep moving. But stay vigilant." - -A surprise—an echo of agreement from the last person Alex expected it from. And there it was, the glimpse of a wrinkle in the unyielding fabric of command, a hint that perhaps they were all starting to sense the strangeness that permeated this place. - -Progressing with determined steps, the trio moved deeper, silently acknowledging the evolution of their predicament. It was a small yet transformative concession to the unknown forces at play, an acknowledgment from each agent that, despite their disparate goals and ideals, the true nature of the Dulce base was an enigma that would forge new paths through their convictions. - -As they reached the central communications hub, the truth that awaited them lurked in the shadows, its eyes unseen but felt by all. The walls didn't just whisper now; they spoke in tones only the brave—or the foolish—would dare to listen to. - -\* - -The subterranean silence of Dulce was an oppressive entity of its own, wrapping the team in a cloak of uneasiness as they pressed on through the dimly lit corridor. Jordan Hayes found themselves contemplating the ramifications of each step taken into this suspended world, where the sterile air seemed to mock the gravity of their predicament. The closer they got to the communication hub, the more Jordan's mind wandered toward the realm of the inexplicable. - -Beside Jordan, Alex Mercer moved forward with deliberation, his gaze scanning the heavy utility doors they passed—one of which was partially ajar, beckoning them with its darkness. "After you, Dr. Hayes," Alex said, gesturing toward the mysterious opening. A hint of shared understanding passed between them; knowledge was the guiding star of this mission as much as confrontation or recovery. - -Jordan peered inside, the beam from their flashlight slicing through the obscurity. The room beyond was a chaotic cascade of papers, overturned furniture, and the particular kind of disorder born from hasty evacuation—or something far more sinister. - -"It's like they vanished in the middle of something urgent," Alex murmured, his voice tight with a mix of concern and anticipation. He began to sift through the scattered reports, each page a potential clue to the enigmatic silence that shrouded Dulce. - -Behind them, Taylor watched with a disciplined patience, their authority the foundation upon which the operation was built. Their voice cut into the stillness, a reminder of their presence, "Time is not our ally here." - -Drawing back from momentary distraction, Jordan acknowledged the wisdom in Taylor's words, yet could feel the shift in their stance—from skeptical, reserved analyst, to a proactive agent within the narrative. "You're right; these documents may hold critical insights. Let's collect what we can and analyze them properly." - -From the darkened hollows of the room, shadows seemed to cast subtle judgment as Alex and Jordan worked together with heightened urgency. Taylor, for once, didn't intervene but instead surveyed the entrance, their mind anticipating the unknown variables that lay ahead. - -Unexpectedly, a soft hiss emanated from a neglected terminal on the desk. Jordan's head snapped up, their heart rate accelerating at the potential ramifications. Without a word, they moved to the machine, hands driven by the newfound conviction that knowledge was more than power—it was survival. - -As Jordan began to extract what data they could from the terminal, the first comprehensible communication from the depths of Dulce in far too long crackled through: an automated distress marker, looping endlessly without further context. It was a revelation, one that reverberated through the group, confirming their fears and igniting an even greater need to press on. - -Watching Jordan's dogged determination, Alex witnessed the minor transformation in his colleague unfold—a shift from doubt to action, a sliver of belief in the possibilities beyond their rational understanding. This forge of resolve amidst the alien echoes of Dulce not only bonded them closer as a team but compelled them forward with a sharpened edge of responsibility to the truth, wherever it would lead. - -As they collected their findings and regrouped, the base around them imperceptibly changed, the air charged with the vibration of secrets poised on the brink of revelation. And in that charged silence, the group moved on, each now carrying pieces of a puzzle that would soon converge into a picture of galactic significance. - -\* - -In the chill of the cramped server room, the hum of machinery was the backbone to a symphony of data streams coursing through the air. Dr. Jordan Hayes, nerves alight with the mission's mounting unknowns, patched into the last known coordinates of the unsent distress broadcast they had uncovered. They were so close to the core now – to the truth behind the blackout – it was almost tangible. - -Beside them stood Agent Alex Mercer, ever the soldier, yet with eyes that betrayed an intellect craving to understand the murk beneath the surface. "Any progress, Dr. Hayes?" Alex queried, his voice betraying a subtle urgency. - -"Getting there," Jordan replied, fingers dancing across the keyboard. "Whoever sent this was cut off mid-transmission. It's as if Dulce itself swallowed the message whole." - -Taylor Cruz closed in, their frame casting a long shadow over the duo, evoking an almost palpable wall between them and the forward momentum of their mission. "Time is against us," Taylor intoned, more statement than threat. "What we uncover here determines our next course of action." - -Alex acknowledged Taylor with a brisk nod, his stance firm. Yet inwardly, the tightening grip he felt from Taylor's words couldn't throttle the swell of his own investigative instinct. His soldier's obedience had begun to war with the advocate's zeal for unveiling the dark heart of Dulce's secrets. - -And then, the unexpected occurred. The screens flashed in unison, spilling a discordant stream of symbols and images that defied immediate analysis. Jordan's breath caught – this was the response they had been fishing for, an alien communication protocol resonating just at the edge of human comprehension. - -Each member of the team felt it: a shift in the room’s very atmosphere, like a veil being drawn from their perception. Alex and Jordan stood still, absorbed in the bewilderment of contact, while Taylor, despite their authority, hesitated – a minor betrayal that unease was creeping into even their disciplined heart. - -"Thoughts, Rivera?" Taylor rallied, seeking the counsel of Sam Rivera, whose eyes were wide with exhilaration. - -Sam stepped forward, breaking the spell of stillness. "It's like nothing I've ever seen before, but I think I can bridge our systems to communicate," they declared, a wisp of optimism braiding their voice. They set about adapting their gear to transmute the foreign signals into something the team could dissect, their actions a testament to the mentorship and belief instilled in them by Mercer and the team. - -Taylor observed them, a cold calculation behind their facade, as they weighed the worth of this anomaly. It was a crossroad that potentially led to either monumental breakthrough or unprecedented catastrophe. "Once you've established a line, document everything. We can't afford to miss any detail," Taylor ordered, the words sharper than intended. - -The connection was made, and with trembling anticipation, the team listened as the first garbled outputs began to emerge, their very essence promising insights that could alter the course of history. It was an enigmatic dance with the unknown, the pulse of Dulce no longer just a place, but a herald to an alien register the team had yet to decipher. - -Together, they stood at the precipice of understanding, where the faint glow of their monitors cast more than just light – it cast the shadow of burgeoning transformation. It was in this moment, in the grasp of an extraterrestrial tongue, that the team, bound by a hunger for knowledge and the raw edge of survival, found their mission reframed from a search for answers to the articulation of a question humankind had yet to fully ask. - -Silent in their commune with the inexplicable frequency, they realized they were not merely investigators; they had become liaisons on behalf of Earth, interpreters of a cosmic message that could redefine their very existence. The implications loomed large, but now, they would not face them alone – they would face them as a united front, wrought together by the very mysteries that once drove them apart. - -## Chapter 5 - -Dr. Jordan Hayes clutched the edge of the briefing room table, their fingers white-knuckled against the laminate surface, as an array of constellations rotated on the projector—charts and graphs bleeding across the stars. In the dim room, nebulas and dark matter seemed within arm's reach, tangible yet unfathomable. - -Sam Rivera leaned back against the wall, arms crossed, gaze darting between the swirling cosmos and the faces of their companions. A taut line of concentration etched their young features, a mingling of fervent curiosity with the nascent understanding of the high stakes for which they played. - -Jordan's voice broke the profound silence. "The patterns in the signal disruptions sync with none other than zenithal star alignments. It's as if... as if these 'meet and greets' were scheduled, predestined by celestial mechanics." - -The statement hung heavy, daring the occupants of the room to unravel its implications. Alex Mercer, his prior military resolve momentarily suspended, absorbed the hypothesis with a visible hunger. "It's like we're adhering to an appointment we never knew we had," he murmured, his heart a drumbeat in his chest. - -Taylor Cruz snorted—a sound that clattered against the high concepts like a tumbledown shack in a futurist cityscape. Folding their arms, they glanced between the agents, their apprehension clad in the contempt of practicality. "What we need are facts, not mystic conjecture." - -Alex pivoted on his heel, facing Taylor squarely, and his voice found its edge of steel. "This isn't mysticism, Cruz. It's a hypothesis based on observed phenomena as unpredictable as the place we're standing in." - -Taylor's gaze never wavered, yet the slight twitch at the corner of their mouth belied their taut composure. "If there's a semblance of truth to it, then it's critical intel. But remember, we're not astrologers—we're soldiers and scientists." - -Jordan met Taylor’s gaze with a curt nod, accepting the caution even as the crucible of their intellect smoldered with the fervor of cosmic discovery. Their eyes flicked to Sam, whose steady presence and ready tech affirmed a burgeoning dynamic—the makings of a sentinel, standing guard over the threshold of human understanding and cosmic reality. - -With the projector casting pallid light over their features, each agent became a silhouette of purpose, shadows pillared against the backdrop of an endless universe. The story they were embroiled in would soon demand they plunge into darkness to retrieve the light of knowledge—a light that could very well redraw the shape of their world. - -They left the briefing room with a shared silence, each pondering the vast weave of celestial intent and terrestrial response, sensing that the galactic appointment to which they'd unwittingly RSVP’d was more insistent—and more threatening—than any operation they’d faced before. - -\* - -As the Paranormal Military Squad team convened in the heart of the Dulce military complex, an air of bristling expectation clung to the walls of the underground sanctum. Alex Mercer’s brow furrowed while watching his companions—Jordan Hayes, diligently setting up their makeshift lab station, and Sam Rivera meticulously checking the communication relays they had restored. Taylor Cruz observed with hawk-like focus, yet to betray the strain that their command posed on them. - -The gravity of the mission had shifted, deepened; each member of the team felt its pull, tethered to the understanding that they were now part of a larger narrative—a cosmic play with Earth as a stage and the human race unwitting actors. - -Jordan paused, a tension creeping across their shoulders as they aligned the satellite data with the alien message that had been decoded. "The instructions in this message," Jordan started, the timbre of their voice betraying their usual composure. "They're coordinates and... a warning." - -Sam leaned in, their eyes widening behind the glow of their laptop screen. "A warning? Like, ‘stay away from’, or ‘beware of’...?" Their words trailed off, uncertainty a new companion in their lexicon. - -Alex exhaled slowly, his mind racing to connect the dots. "It doesn't matter which," he said, decisive yet contemplative. "What matters is we understand intent. Are we being warned out of concern, or are we stumbling upon a threat?" - -Cruz’s iron-clad facade momentarily cracked, a fleeting glimpse of vulnerability flashing through their eyes. "We need to know if this entails additional risk to the operation," they said, directing their gaze specifically at Alex. "Mercer, I rely on you to keep the team grounded. No one goes off-course." - -Their reminder seemed both a command and a plea—rooted in an understanding that each member of the team now faced the duality of their roles, protectors of earthly secrets and heralds of potentially devastating revelations. - -Sam's fingers stilled mid-type, their task forgotten as they absorbed the weight of the unfolding reality. "We're the first line of defense... or detection," they mused half to themselves, a growing sense of agency within the larger play they were cast into. - -Jordan returned to the data, more resolute in their actions. The warning, whether cautionary or dire, was a beacon they no longer could ignore; its light casting aside shadows of doubt and igniting a collective purpose within the team. - -Alex watched Jordan and Sam, feeling a brotherhood in their shared quest. As Cruz paced, poised on the cusp of decisions that would mark their career and perhaps the fate of many, Alex knew the narrative had changed. They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve. - -Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril. - -Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer’s latter instincts gained precedence— the team’s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly hierarchies but by the pulsing symphony of the universe itself. - -\* - -The desert night loomed eerily still as echoes of hidden activity reverberated deep beneath the bleak sands of New Mexico. Diverting his gaze from the array of sensors before him, Jordan Hayes allowed a rare breath, deep and anxious. Turning to Alex Mercer's focused silhouette, the nocturnal landscape illuminated softly by makeshift floodlights, Jordan felt the syncopated tempo of apprehension and exhilaration jockey for primacy within. - -"The closer we get to unlocking these messages, the more I feel like we're peeling back layers of reality itself," Jordan confided, eyes not leaving the monitors that presented a constellation of data points. - -"Yes," Alex replied, his voice steady as he considered the implications of their discovery. "And we have to be ready for whatever we find beneath those layers. Whether it's a breakthrough or a Pandora's Box." - -Silence settled between them, broken only by the occasional buzz of communications equipment attempting to bridge terrestrial and extraterrestrial intelligences. Tense moments drifted by, laden with the expectant weight of near breakthrough, when a soft chime signaled an incoming transmission -- a rare sound that set every agent on high alert. - -Absent was the voice of Washington or Paranormal Military Squad command. Instead, a rhythmic series of pulses and tones filled the air, deliberately patterned, unmistakably non-human. - -Sam Rivera adjusted the sensitivity of the decoding equipment, their hands shaking with anticipation as much as focus. "I have it!" they announced, the signal transforming under their expertise into a sequence of visual symbols on the screen before them. - -Their shared excitement was palpable, a kinetic force resonating between the team members as they crowded around the display. - -"What does it say?" Taylor Cruz demanded, the urgency in his tone scraping against the newfound wonderment. - -Interpreting the alien syntax required not only decoding but intuition and empathy. The words that emerged upon the screen were at once coherent and enigmatic: "*Voyage. Convergence. Peril.*" - -The stark simplicity of the message struck them collectively, a chill breeze wafting through their resolve. - -Alex stepped forward, piecing together the cryptic communication with a growing sense of obligation. "It’s a call to action," he deduced, "or possibly a summons." - -Jordan's gaze met Alex’s, both understanding that this was no longer an investigation or mere extraction of hidden truths. This was humanity's unwitting enlistment into a galactic dialogue that defied boundaries of nation, creed, or protocol. - -Sam's eyes were aglow, not with fear, but with the profound acceptance of inevitability that comes with groundbreaking revelation. Moreover, within Taylor's stern exterior churned the seed of reluctant admiration for the unclassified, the uncharted realms they were approaching. - -Together, they accepted the pivot in their mission, readjusting their objectives from exploration to engagement, and from isolation to a communal outreach beyond the stars. As dawn's first light threatened the horizon, it became clear that they were no longer merely operatives of a clandestine governmental faction—they were delegates on behalf of Earth, embarking on a voyage orchestrated by destinies unrelated to the mere geopolitics of their world. - -Turning to each other, their silhouettes sketched against the coming dawn, the agents recognized the transformation within and amongst them. They were bound by more than duty—they were intricately woven into the fabric of an unfolding cosmic opera, one in which they had been granted an undeniable role. And as they set course for the coordinates that beckoned them like a distant siren's call, it was with a solemn dedication to not only uncover the mysteries ahead but to navigate the convergence, and the peril, as unified emissaries of a world on the cusp of a broader understanding. - -\* - -Beneath the hum of the fluorescent lights and the vigilance of silent monitors, Alex Mercer stood with his team in the threshold of the base's command center, their faces etched with the fatigue of hours spent unraveling galactic mysteries. Jordan Hayes broke the stillness with a delicate fusion of disbelief and resolve. "The signal..." they began, their tone deliberate, "it’s evolving. It’s not just sending a message—it’s responding to us." - -Taylor Cruz leaned over the console, their eyes narrowing with intrigue and a flicker of unease, studying the alternating patterns on the screen. "Responding? Like it’s alive?" Taylor asked, a question that bordered on the edge of wonder and alarm. - -Sam Rivera’s gaze was locked onto their interface, a digital orchestra at their fingertips. "It could be some form of advanced AI. Or something else entirely," they contributed, a note of exhilaration betraying the gravity of the situation. - -Alex paced before the terminal, absorbing the enormity of their predicament. Their mission—once rooted in the solid ground of military discipline and covert operations—had transcended into an encounter of unprecedented import. "We need to be cautious," he advised, his voice a low rumble of cautious strategy. "If this signal is intelligent, how we interact with it could dictate the outcome of this entire operation." - -Jordan met Alex's gaze with a nod, the weight of the responsibility shared and accepted. "We have protocols for first contact, but nothing for... this," Jordan admitted. The room was gripped with tension, each breath seemingly louder than the last. - -Then, with a sudden burst that filled the command center, the signal coalesced into a clear and distinct pattern which replicated and expanded, its complexity revealing the hand—or mind—of an intelligent architect. - -Taylor's instinct for command surged forth. "Prepare to record and analyze. Whatever it is, we need to understand it—" But their words were cut short as the signal surged, enveloping the room in a brief, blinding cascade of light. - -In that pulse of brilliance, a shared revelation coursed through the team. The signal had become a bridge, an extension of unknown consciousness reaching towards them, testing, communicating, searching. - -Alex stepped back from the light, feeling a profound change unravelling within him. The path forward would not be one of confrontation or conquest, but of connection and comprehension. - -Jordan turned to Alex and Taylor, seeing in their faces a reflection of the same metamorphosis taking place within themselves—a movement from observers to participants, from agents to ambassadors. - -With a collective breath, the team faced the kaleidoscope of lights. The alien signal, once a harbinger of enigma, was now a catalyst for transformation—a symphony of light and sound that echoed the beginnings of a new relationship between humanity and the alien unknown. - -And so, with deliberate steps, Alex Mercer led his team into the luminous fray. Science, protocol, and survival instinct harmonized within them, each member poised on the cusp of a new chapter in human history. - -They were no longer merely the instruments of Paranormal Military Squad's will—they were the vanguard of humankind’s first definitive leap into the cosmic community. - -With the last echoes of the signal resonating in the control room, they each embraced the sequencing of the transmission, the dance of extraterrestrial light that now wrote itself into their story. The chapter of Operation: Dulce drew to a close, but the narrative of their destiny had only just begun. - -## Chapter 6 - -\* - -The cool darkness of the command center at Dulce base was a stark contrast to the brewing storm outside, where the unforgiving New Mexico desert winds whispered of the hidden truths that lay buried deep beneath its surface. Dr. Jordan Hayes sat, their eyes fixed on the readout, the frenetic dance of symbols and numbers reflecting off their determined face. They were on the cusp of an epiphany, teetering between the widely accepted laws of physics and the promise of a new cosmic paradigm. - -Alex Mercer watched from across the room, noting the subtle shifts in Jordan’s posture that belied a developing readiness to embrace the unbelievable. “Find something?” Alex’s question, asked with a blend of curiosity and solidarity, bridged the gap between a command and a genuine query among equals. - -Jordan's response was slow, measured against the magnitude of their analysis. “This isn’t random static. It’s a pattern - a repeated sequence phasing in and out but distinctly artificial.” Jordan turned away from the screen, locking eyes with Alex. “This could change everything.” - -Sam Rivera leaned in, their eyes alight with the fires of revelation and a quenchless thirst for understanding. “A pattern means intention. Could it be a message?” - -A figure emerged from the doorway, casting a long shadow into the room - Taylor Cruz. “Intentions can be friendly, or hostile. We shouldn’t forget that,” said Taylor, bringing a dose of their usual pragmatism into the heart of discovery. - -Alex acknowledged Taylor’s caution with a nod, understanding the need to keep their feet grounded even as their spirits soared toward the unknown. “Then let’s be the first to find out which it is." - -The team gathered around the monitors, the soft tapping of Jordan's keystrokes now punctuated by the occasional crackle of Sam's radio equipment. The sound was almost ritualistic, a prelude to humanity’s potential first, knowing foray into a larger universe. - -Jordan’s fingers paused, suspended in mid-air. The signal had evolved, becoming a beacon that somehow felt less alien and more familiar. It was as if the complexities of their message were unfolding into something more accessible, more terrestrial. - -A hushed excitement swept through the room. The transformation suggested an awareness on the part of the unknown senders; a finesse that spoke volumes about their capabilities and perhaps their intentions. - -With the growing realization that they were engaging with an intelligence far exceeding their previous understanding, the team prepared to reach back across the cosmic divide. Prepared or not, they were no longer bystanders in this galactic narrative. They were active correspondents in an exchange that transcended galaxies and welcomed them into an expansive, possibly fraught, interstellar conversation. - -\* - -Inside the cavernous central hub of Dulce military base, Dr. Jordan Hayes stood in near-darkness, surrounded by a nest of cables and monitors that buzzed with silent, cryptic life. Jordan's eyes narrowed to focus on the sequences that danced across the screen—patterns that could unravel the cosmic enigma surrounding them. - -Alex Mercer approached with his characteristic stride, a signal of reliability in the chaos. "Status report, Dr. Hayes?" he inquired, his voice low, almost blending into the soundscape of beeping consoles and swirling fans. - -"We're on the brink of unravelling the signal's origin," Jordan replied, the weight of implications heavy in their tone. "There's intelligence behind it, a thought process alien to our own." - -As if summoned by their analysis, Taylor Cruz approached with authority radiating from every pore. "Understand this, we need to know if it's friend or foe. Don't get wrapped up in the existential—our lives may depend on the answers you provide." - -Sam Rivera, their hands adroitly adjusting a device to fine-tune the signal, chimed in with optimism undercut by anxious anticipation. "We're deciphering the comm encryption. Soon, we'll have a channel open—not just listening in, but speaking back." - -Alex nodded his understanding, his strategic mind processing the tactical implications while grappling with the more profound humanistic impact. "When we do, we'll tread carefully, communicate with purpose," he reassured the team. - -The operation had evolved rapidly, from a stealthy incursion into a clandestine labyrinth to an exchange with an extraterrestrial intellect. Their earlier trepidation transformed into determined focus, as they prepared to extend humanity’s hand into the vast unknown. - -An alert on one of the monitor stations snapped the team into alarm. The signal had not simply been waiting—it had been calculating. Now, it reached its crescendo, demanding their attention with a provocative urgency. - -Jordan's fingers raced over the keyboard, their eyes simultaneously interpreting data and sharing directives. "It’s a linguistic lock, a test of comprehension. We crack this, we establish dialogue." - -Taylor's presence was a beacon of steely resolve. "Then let’s solve it. This is what we trained for—the unknown." - -Alex and Sam exchanged a look that telegraphed their shared determination—this was not only the mission they had trained for; it was the mission they had been destined for. - -Together, the Paranormal Military Squad team leaned into the challenge, their minds honing in on the complex patterns with a singular goal: to unlock the conversation with an intelligence that had already begun to shift the foundations of what they knew, or thought they knew, about the universe. - -In a symphony of clicks and murmurs, they worked, knowing they were about to make a giant leap not just for themselves or Paranormal Military Squad, but for all of humanity. As the final pieces fell into place, Dulce's militaristic silence was shattered by the sound of intergalactic contact—by the sound of history being made. - -## Chapter 7 - -In the enclosed space of Dulce’s command center, the air was thick with anticipation, each team member poised to tread the razor's edge between scientific breakthrough and galactic peril. Dr. Jordan Hayes focused intently on the screen, their fingers tapping a staccato rhythm against the keyboard as lines of alien code cascaded down the monitor. - -Alex Mercer's steely gaze surveyed the room, stopping on each member of his team. "Thoughts?" he asked, echoing the unspoken tension. His question, while directed at the group, lingered on Jordan—acknowledging their expertise and inviting collaboration rather than dictating orders. - -Jordan’s brow furrowed, an indicator of the mental gymnastics being performed. "It's unprecedented," they finally said, their voice a testament to the gravity of the moment. "Behavioral algorithms... if we're right, this code could reveal extraterrestrial thought patterns." - -Before anyone could react, Taylor Cruz interjected with the assertiveness of someone accustomed to commandeering the discourse. "Then let’s ensure we’re deciphering it correctly," Taylor stated, their tone suggesting they were still battling to maintain control over an increasingly alien situation. - -Sam Rivera hovered near the mainframe, youthful energy barely contained under the surface. "What if it’s more than just a message? What if they’re trying to extend consciousness across the stars?" - -The room fell into a contemplative silence, broken only by the hum of electronic equipment and the distant thud of secured doors locking in rhythm. The weight of responsibility rested on each agent's shoulders—a heaviness palpable in the air they shared. - -Alex stepped forward, reaching a subtle decision, one dictated by foresight and the humanity nestled at the core of their mission. "We approach with the aim to understand, not to confront," he said, softening his military bearing into a more diplomatic stance. - -Jordan nodded, appreciating the leadership that Alex displayed in the face of the unknown, and turned back to the cryptic data. Here, before them all, was a tangible piece of evidence—proof of an extraterrestrial sentience that had outreached the bounds of their expectations. - -Taylor took a breath, simultaneously exuding a sense of preparedness and venturing into the unknown alongside their peers. "Then let’s do what Paranormal Military Squad does best—investigate and adapt," Taylor added, finding comfort in the familiar even as they stood on the cusp of an unprecedented alchemy of science and mystery. - -The team leaned into their respective roles, driven by the urgency of the assignment and the pull of an insatiable curiosity. Sam offered a grin that belied the tension, a youthfulness that reminded them all of the profound excitement nested within the terror of the unknown. - -Quietly but resolutely, they turned back to their instruments, each of them a sentinel on the threshold of a new reality. The once implicit lines of command were now woven into a shared tapestry of hierarchy and camaraderie. As they danced with the unknown, they were beacons of sentient endeavor, casting the light of human consciousness into the vast darkness that called to them. - -\* - -\* - -Dulce Base's cavernous darkness was pierced by the sharp luminescence of monitors, casting an electric glow onto the faces of those who dared to unearth its secrets. Dr. Jordan Hayes stood motionless, eyes glazed in concentration, their mind a nexus where terrestrial science battled with celestial unknowns. - -Alex Mercer watched from a slight distance, the weight of command tangible upon his shoulders, though lightened by the shared burden now held amongst them. "We could be on the frontier of a new kind of diplomacy," he mused aloud, giving voice to the moment's gravity. - -At those words, Jordan's trance broke. "If that's the case, then these communications," Jordan motioned to the stream of data, "are our olive branch across the cosmos." - -Taylor Cruz, who paced with restless energy, halted and faced the team—his stoicism marred by the erratic dance of lights reflected in his eyes. "An olive branch, or an invitation to a battlefield?" he posed, ever the strategist, his words laced with a hint of cynicism. - -Sam Rivera, nestled amongst an array of equipment, licked their lips—a mixture of nerves and anticipation palpable. "We're mapping out something incredible here. Whether it's peace or war, we're the cartographers." - -Silence enveloped them like the expanse of space itself, each member contemplating the chasms they might bridge—or the abysses into which they might unwittingly descend. - -Alex's demeanor assumed a quiet resolve—the profound knowledge that this mission was as much about navigating uncharted philosophical territories as it was about ensuring survival. "Whichever it proves to be, we'll face it. Prepared, unified." - -A nod passed between Jordan and Alex, a silent exchange of mutual respect and shared mission. Sam, buoyed by the weighty encounters of the mind and machinery, entered keystrokes with a fervor that seemed to bring them ever closer to the alien mind. - -They stood there, the Paranormal Military Squad team, not just as guardians of homeworld secrets or as soldiers of clandestine wars, but as humankind's chosen few at the fulcrum of history—a history that was now unfolding to the rhythm of otherworldly codes. - -Each revelation, each parsed symbol, inched them toward the line between the earthly and otherworldly. And as they stood on this precipice of cosmic negotiations, it was clear the ensuing dialogue would not just shape the future of Paranormal Military Squad—it could very well redefine the parameters of human existence. - -\* - -The hum of advanced computational systems tingling with cryptic transmissions framed the ambiance of Dulce's mainframe chamber. Jordan Hayes, fingers hovering over a console dense with blinking lights, furrowed their brow as sequences of alien data streamed across the screen. - -Alex materialized behind them, his presence a stable beacon amidst the technological whirlwind. "Look for patterns, anomalies. Anything that might resemble a handshake protocol in their communications," he directed, his voice a low thrum, reverberating with cautious optimism. - -Jordan cast a glance over their shoulder, acknowledging Alex's contribution with the shared understanding of colleagues who had transcended mere professional acquaintance. "I’m isolating sequences that seem to recur with more intention than static. If these are their ‘handshakes,’ then we might just be making first contact," they remarked, their focus returning to the screen with renewed vigor. - -From the other end of the room, where shadows married the artificial light, Sam's voice crackled through the static of nearby speakers, "Don't forget the anomalies we detected earlier. Each one could be a word, a sentence, or even a concept untranslatable to our current understandings." - -Resolute, Taylor Cruz stood at Jordan's other side, a stoic figure wrestling with the implications of their mission. "Keep pursuing this line," Taylor instructed, an undercurrent of intensity carried forth in their otherwise composed demeanor. "And remember, this isn't just about making contact; it's about securing knowledge for humanity." - -Alex offered a nod that spoke volumes, conveying his understanding of the stakes at play. Here, in this chamber of possibility, the team's actions would determine if humanity stood at the brink of a new age of understanding or the onset of an unprecedented threat. - -Every second thrummed with significance as Jordan and Sam worked in tandem, each keystroke a foray into the unknown. Taylor observed with a commander's scrutiny, the gravity of their role sustaining them against the waves of ambiguity breaking against their resolve. - -Pivotal moments come rarely in the course of human events but here, amidst the electronic symphony of a stalwart command center, lay the incepting notes of a cosmic overture. The harmony between human and alien, between Paranormal Military Squad and the vast reaches of space, began its first tentative measures, with each member of the team a vital instrument in a celestial ensemble yet to be fully heard. - -\* - -The crisp air within the mainframe room of Dulce base seemed to hum with unspoken possibilities. Jordan Hayes was the centerpiece of focus, their hands dancing methodically over the console as streams of otherworldly code cascaded down monitors, each flicker a potential key to the cosmic doors they were inching open. - -Alex Mercer watched, posture relaxed but eyes sharp. "Remember, this could be our first introduction, maybe even our first impression," he said, mindful of the gravity carried by each action they made henceforth. - -A hint of a smile touched Jordan's face, a small acknowledgment of the monumental task at hand. "Understood. I'm balancing the signal's syntax with our algorithms. If we're interpreting this correctly, it could be... well, an invitation." - -Into the electric tension of the chamber walked Taylor Cruz, their silhouette a sharp contrast against the cool lighting, radiating a presence that spoke of command and chilly tenacity. "An invitation, or a challenge?” Taylor questioned, the weight of their suspicion casting a different tint on the cascading data. - -Sam Rivera, in a corner arrayed with sophisticated equipment, piped up, their voice a buoyant note amidst the tentative atmosphere. "Either way, it's a connection. One that we're uniquely positioned to navigate," they remarked with an air of optimism threading through the uncertainty. - -Alex channeled the strengths of his team into the core of their approach, his leadership adapting to the contours of an unprecedented scenario. "Cautious and curious," he reflected aloud, shaping a strategy that balanced their thirst for comprehension with the prudence required in addressing the unknown. - -Jordan, hands momentarily at rest, looked up. The signal was more than a sequence of bits and commands—it was a riddle wrapped in the depths of space-time, and they were on the cusp of parsing its meaning. - -Taylor, hardly a step away, nodded in silent agreement. The implications of their findings might very well direct the course of human destiny from this point onward. - -Finding a tempo among themselves, the Dulce team was a confluence of ambition and acumen, each member intuitive to the beats of discovery. The chamber around them held untold stories, secrets coaxed from the stars, that now, led by Paranormal Military Squad's finest, began to unravel. - -The future in those moments was unwritten, a narrative scribed not in the dust of desert confines, but in the potential for interstellar diplomacy and understanding. As they prepared to script humanity's next chapter, the room seemed to pulse with the heartbeat of a story far greater than the sum of its parts. - -## Chapter 8 - -The grit of an earthbound dust storm contrasted sharply with the pristine sterility of the underground command center. Alex Mercer, eyes set with fervent determination, stood over Jordan Hayes, whose fingers danced across the keyboard with rapid purpose. Monitoring the progression of alien code unraveling before them, Mercer spoke with a tempered urgency, "Keep it steady, Jordan. We might be initiating the first true interspecies communication bridge here. It's all about finesse now." - -Taylor Cruz, the embodiment of military precision, surveyed the room with a calculated gaze from their vigil beside an array of glimmering screens. "Remember, these could be delicate negotiations -- or coded threats. Stay sharp," Cruz added, their voice cool as polished steel. - -Jordan, with a silent nod, recognized the gravity of both stances. Gravitating between scientific acuity and diplomatic caution, they replied, "The sequence is aligning—syncing with our comms. It's looking more and more like direct engagement." - -Amid the banks of electronic machinery, the thrumming pulse of an impending interspecies signal exchange, Sam Rivera interjected with a youthful zeal that cut through the weighty atmosphere, "It's not just an exchange. It's a... symphony. It's as if they're teaching us their language through modulation." - -A moment of profound silence swept over the team. The isolation of their location, deep within the top-secret labyrinth of Dulce, became suffused with an almost palpable sense of historical significance. - -"Then our response needs to be equally symphonic," Alex uttered, contemplating the awe-inspiring transmutation of their task from a simple recovery mission to a full-blown cosmic concerto. - -With a renewed sense of wonder tempered by caution, the Paranormal Military Squad team found themselves harmonizing a delicate balance between envoys and interpreters. The long shadow cast by their duty was now illuminated by the brilliant glow of otherworldly dialogue. - -In this carefully orchestrated march towards the unknown, each individual's expertise became critical notes in a larger melody. The narrative of human achievement, so often defined by solitary pursuits, now emerged as a collaborative opus, each member of the team a maestro in their right. - -The protocols of encounters, the mathematics of languages, and the poetics of connection all fused into a singular moment of convergence. The echo of their efforts reverberated back to them, not through the cavernous base's concrete walls, but from light-years away, in the form of a reply, intangible yet infinitely profound. - -\* - -Amidst the hum of the supercomputers and the faint static from the scrambled transmissions, Alex Mercer cast a thoughtful glance across the dimly lit room toward where Dr. Jordan Hayes was methodically adjusting the archaic dials of the decryption machine. "Any progress?" he asked, his tone conveying both impatience and the deep-seated respect born from countless shared challenges. - -Jordan did not look up, their gaze remained locked on the flickering lights that represented a dialogue suspended between worlds. Their fingers ceased their dance, hovering meditatively over the controls. "We might be on the cusp of a breakthrough," Jordan suggested. "The signal... it's evolved. It's reflexive now, responsive in a way that suggests sentience." - -Taylor Cruz's familiar sharp strides approached the two, breaking the rhythm of soft beeps. "Responsive is good, if it means understanding," Taylor said, head tilted as they peered at the encryption data scrolling by. "But remember, comprehension can bring revelation or conflict." - -Sam Rivera’s youthful voice permeated the tension, brimming with an excitement edged by the enormity of what they faced. "If it's truly sentient, we're not just cracking a code; we're learning how to converse with an entirely new form of consciousness," they chimed in, the weight of history not lost on the zealous astrotechnician. - -Alex nodded, his thoughts alighting on potential strategies for navigating the conversation they were cultivating with the unfathomable. "We need to keep that conversation going, echo its patterns, and speak its language," he resolved, knowing the delicate nature of their work merited every ounce of their collective acumen. - -The chamber now was a crucible, forging within it the future narrative of human contact with the unknown. Every signal pulse they sent out was an invitation for understanding, and every echo back a step closer to bridging the cosmic divide. And so, together, they stood - agents in Paranormal Military Squad's clandestine ranks, united by purpose, sculpting humanity’s first sonnets into the void. - -\* - -#### Knowledge graph updates - -- (Jordan Hayes, Interprets, Communications as cosmic diplomacy, Moderate) - -- (Taylor Cruz, Questions, Potential aggressiveness of alien intent, Minor) - -- (Sam Rivera, Expresses, Optimism about forming a connection, Minor) - -- (Alex Mercer, Adopts, Balanced strategy for contact, Moderate) - -- (Paranormal Military Squad team, Navigates, Beats of cosmic discovery, Moderate) - -- (Paranormal Military Squad team, Prepares, To script humanity's interstellar narrative, Major) - -## Chapter 9 - -The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. - -Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware." - -A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention. - -"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke." - -Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time." - -Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel." - -Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. - -They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. - -\* - -\* - -The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. - -Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware." - -A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention. - -"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke." - -Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time." - -Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel." - -Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. - -They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. - -\* - -Alex Mercer's eyes were fixed on the monitors, the reflected light casting an ethereal glow across his stoic face. The room buzzed with tension, a cacophony of low hums and electronic beeps that underscored the historic nature of their actions. He moved to where Dr. Jordan Hayes was immersed in their work, scrutinizing the alien code streaming rapidly down the terminal. - -"Find anything that might look like an entry point or a... digital handshake?" Alex asked, his voice steady, betraying none of the tension gripping his chest. - -Jordan looked up briefly, their expression weary yet intense, "Potentially. It's as if the code is anticipating our input, modifying itself in real-time. I've never seen anything like it." - -From across the room, Taylor Cruz's sharp voice cut through the hum. "Then it's learning or, possibly worse, baiting us. Proceed with extreme caution," they commanded, their firm stance reinforcing the gravity of the situation. - -Sam Rivera, surrounded by a cascade of screens and interfaces, added, "It's almost organic in its complexity. Any minute now, and I might have a way in." - -A slight nod was Alex's immediate response, his mind racing through the potential scenarios. "Everyone, stay alert. This could be the beginning of something profound." His seasoned eyes never left the unfolding drama on the monitors. - -The room fell silent, the air heavy with unspoken questions. Were they mere moments away from unlocking an otherworldly dialogue? Or was it a Pandora's box that, once opened, could not be closed? - -Alex moved closer to the main console, his fingers hovering over the command keys. With the precision of a maestro orchestrating a symphony, he communicated silently with Jordan – respectful of their expertise, aware that the next move could alter the course of human history. - -Jordan met his gaze, nodding sharply, and refocused on the task. The signal seemed to pulse with sentient curiosity, drawing them further into its intricate web. - -A sudden flurry of alerts and the intensifying glow of monitors heralded that they had bridged a technological chasm. The alien intelligence on the other end was no longer a distant enigma – it was an active participant, responding to their digital overtures with an unknown agenda. - -The team's meticulous efforts had led them to a momentous threshold. Beyond lay unprecedented contact – a nexus of curiosity and potential peril. Within the confines of the base, against the backdrop of a silent desert night, the Paranormal Military Squad operatives became mediators of Earth's bid for cosmic relevance, their every action now a gesture in the grand dance of intergalactic relations. - -## Chapter 10 - -The corridors of the Dulce military base, now silent, echoed with a history of whispered conspiracies and furtive movements. But in the command center, a delicate tapestry of light and sound was being woven as the echoes of cosmic dialogue resonated through the high-tech enclave. Dr. Jordan Hayes, now leading the efforts, called out from their workstation, "I’ve isolated the signal's harmonics. It's more than a call; it's a song, an interstellar siren’s call." - -Alex Mercer, steady and resilient in the face of the incomprehensible, acknowledged with a quiet nod, "A song that we need to learn—quickly." His eyes, heavy with responsibility, scanned the room, watching his team work tirelessly at the intersection of science and speculation. - -Sam Rivera, dulled by fatigue yet driven by unshakeable resolve, manipulated a complex array of audio interfaces. "There's a pattern, a repeating motif. It's structured, intentional," they muttered, their revelation a bridge between the known and the unimaginable. - -Taylor Cruz, a figure of central authority, paced the length of the room, their usual unflappable demeanor betraying a rare flicker of apprehension. "We should be wary of the sirens’ call," Taylor interjected, invoking myths of old as a cautionary metaphor. "We don't want to crash upon unseen shores." - -Undeterred, Jordan cast a determined glance at the team. "We navigate by starlight now, not by the limited light of our previous understanding." Their voice was a beacon, charting a course through unchartered realities. - -Every individual was acutely aware that each moment in that room was a conduit to an epochal shift for civilization. The mysterious signals, once distant and alien, had coalesced into complex and harmonious oscillations—beacons of an extraterrestrial intellect inviting Earth to join in a cosmic consortium. - -Silently, Alex approached the mainframe, his trained fingers aligning with the console’s mechanisms. The room watched in collective breathlessness as he set the frequency in motion, an introductory phrase to an otherworldly melody—a symphony that could bind worlds or spell devastation for all they knew. - -In the control room of Dulce, amongst whispered legends and the quiet hum of machines, humanity's ambassadors now stood, stretching their hands into the void, reaching for the hand that would either pull them into the light of new stars or into the maw of darkness between them. - -\* - -Underground, the Dulce facility's command center was awash with frenetic energy, a stark juxtaposition against the silent, decrepit corridors that enveloped them. The air hummed with anticipation as Dr. Jordan Hayes and Alex Mercer hunched over a console. The sterile light from the monitors cast an otherworldly glow upon their faces, now reflecting a mosaic of alien characters rapidly translating across the screen. - -"The patterns are evolving," Jordan murmured, concentration etched into their every feature. "It’s as if our attempts to decrypt have accelerated its learning. It’s adapting to us." - -Alex, who stood steadfast behind Jordan, felt a tinge of uncharted fear quickly quelled by the fire of discovery raging within him. "Keep it up," he urged. "But whatever this is becoming, we need to ensure it remains within our control." - -Taylor Cruz interjected, their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data. - -"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives ‘talking to strangers’ a whole new meaning." - -Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back." - -Together, they stood on the edge of the unknown, forging humanity’s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history. - -The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation of their investigative strategies. The air turned heavy with the scent of electricity and ambition as they closed in on a pivotal response. - -As the signal’s intelligence—whether artificial or biological—grew more profound, so too did the realization that their mission had morphed from passive observation to active engagement. There was no turning back now. Each agent embraced their part in the delicate dance of an interstellar exchange that could change everything they thought they knew about life, intelligence, and the dark void beyond Earth's atmosphere. - -\* - -The underground halls of Dulce Base, usually buzzing with covert operations, now thrummed with a different kind of energy, an electric mix of fear and fascination. At the heart of the base, in a room shielded from the world’s eyes, Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera huddled around a bank of monitors. Each screen flickered erratically with the alien script that had become the center of their lives—and perhaps the pivot on which humanity’s future would turn. - -Jordan's eyes never wavered from the displays, their expression was one of rapt concentration, interspersed with flashes of revelation. "We're conversing with the stars," they whispered, almost to themselves. The words hung in the air, a testament to the awe-inspiring strangeness of the situation. - -"The language is morphing; changing its structure with every exchange we have," Sam chimed in, enthusiasm tinged with the solemnity of the occasion. "It's like witnessing the birth of a new form of dialogue—one that spans galaxies." - -Taylor, despite the situation's precariousness, maintained an appearance of ironclad composure. "Keep the communication stream secured and monitored. We don't know what we're dealing with yet," they reminded the team, a bastion of protocol amidst uncertainty. - -Alex watched his team expand the parameters of human achievement; their work here would possibly define an era. "This is untrodden territory," he acknowledged, "and in every word we script, in every response we decode, we're drawing a map that others will follow." - -Jordan turned to Alex, a nod acknowledging the shared responsibility of this moment. They had embarked on a new voyage, an odyssey not of the body, but of the intellect and spirit. No longer explorers of the Earthly realm, they had been promoted by circumstance to ambassadors of humanity in a silent and boundless ocean. - -A sudden pulse of energy from the monitors signaled a breakthrough; the language had not only adapted but it seemed to resonate, to harmonize with their attempts at making contact. The alien script now sprawled across the screens didn't just ask to be understood—it invited interpretation, collaboration, maybe even companionship across the cold distances of space. - -As they stood before the precipice of first contact, Paranormal Military Squad's finest became the architects of a symphony meant to echo through the cosmos. But more than architects, they were the first to play the notes of this cosmic composition, daring to believe that on the other end, someone—or something—might be listening, ready to join the chorus. - -\* - -The underground command center of Dulce Base, once pulsing with clandestine operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. - -Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt." - -The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here." - -Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood." - -Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance. - -The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. - -A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. - -The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history. - -## Chapter 11 - -The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. - -\* - -The thrum of the colossal machinery vibrated through the subterranean facility as Alex Mercer stood amidst the whispers of technology, each carrying voices from worlds apart. He watched as Sam Rivera adjusted a complex array of cosmic translators, their expression a mixture of anticipation and awe. - -"Are we ready, Mercer?" Taylor Cruz asked, the soft glow of the command center consoles reflecting upon their stern face. - -Alex turned towards Taylor, his eyes holding a depth that betrayed the enormity of the threshold they were about to cross. "This is it," he said. "Initiate the protocol. It's time we answer the cosmos." - -Jordan Hayes, stationed at the mainframe, typed rhythmically, a blue hue painting their focused features. The eerie silence that had settled over the team was interrupted by a visceral sound—humankind's response to the alien dialogue, now streaming into the abyss. - -The control room, once a fortress of solitude, erupted into an oasis of life. Lights flickered in tandem, echoing the symphony of interstellar communication. They stood together at the edge of discovery, facing the symmetry and discord of a universe unknown. - -"If we're right, we've just become Earth's first emissaries to a celestial congress we're only beginning to comprehend," Jordan's voice was somber, resonating with a mix of trepidation and honor. - -The room filled with the resonance of human and alien minds converging, creating a new narrative within the fathomless expanse of existence. Paranormal Military Squad, once protectors of Earth's clandestine secrets, had now become the tether linking humanity to the cosmic fold. - -\* - -The underground command center of Dulce Base, once pulsing with covert operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. - -Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt." - -The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here." - -Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood." - -Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance. - -The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. - -A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. - -The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history. - -## Chapter 12 - -The underground facility of Dulce Base, once shrouded in silence and operational secrecy, now hummed with an energy that cradled the promise of cosmic revelation. Alex Mercer stood pensively by the central terminal, flanked by Dr. Jordan Hayes, Taylor Cruz, and Sam Rivera, each poised at the edge of a history-defining moment. - -Jordan's fingers ghosted across the console, tracing patterns of otherworldly origin. "The signal’s architecture is becoming more complex, resembling aspects of human cognition—recognition, learning, even... empathy?" they postulated with furrowed concern. - -Alex turned his gaze upon Jordan, his voice quiet but resolute, "Empathy could bridge galaxies. Let's harness this connection and proceed with cautious optimism." - -Taylor, ever the sober sentinel, projected a more pragmatic standpoint. "Empathy or not, we are duty-bound to assess the risk to humanity. Every new discovery warrants a measured response." - -The static hiss of communications equipment filled the air, its purpose now transformed into a dialogue with an intelligence beyond the stars. It was Sam, wide-eyed amid the myriad lights and switches, who broke the silence, "We have provisional confirmation of the signal’s intent—initiation. We’re being brought into a broader spectrum of cognizance." - -The chamber lay still for a heartbeat, the Paranormal Military Squad agents steeped in contemplation of the path unfurling before them—a path paved with possibilities of diplomacy or disruption, each step a venture further into the cosmic unknown. - -Alex stepped closer to the viewing monitors, each depicting alien symbols seemingly reaching out from the void. "Initiate the broadcast," he spoke with quiet command. "Our response will mark humanity’s readiness to partake in the wider conversation of conscious beings." - -Amidst the crackling air of expectation, the team wordlessly returned to their stations. They had transcended their roles as protectors of Earth's clandestine lore to become the harbingers of an interstellar parley that could change the existential course of life on their pale blue dot. - -The deep hum of the terminal emitted a signal—a testament to the uncanny reality that Earth was now actively partaking in an exchange not bound by gravity nor the limits of the solar wind. - -Here, in the depths of Dulce, a message from humanity woven from understanding and uncertainty was cast into the firmament, an epitheg of their desire to join the universal dialogue and discover their place among the constellations. - -\* - -The somber depths of the Dulce Base command center stood in stark counterpoint to the animated flurry of activity around the central comms array. Alex Mercer's silhouette loomed behind Dr. Jordan Hayes, who sat with a posture indicating laser focus on the decryption process. A quiet murmur of digital soundscape filled the space, subtly heightened by the anticipation of contact with an intelligence beyond the Earth. - -Jordan's voice was steady, betraying none of the extraordinary nature of their work, "Looking through the signal's pattern, it's evident we’re dealing with a form of intelligence—calculating, mirroring, possibly even understanding." - -Alex's reflection bounced off the darkened screens, his head nodding in silent affirmation. "We’re walking a delicate line. Our response should be thoughtful, measured. We’re ambassadors, not merely explorers." - -Taylor Cruz approached, arms folded, their words slicing through the din of careful keystrokes and soft whirrs, "If there’s even the slightest chance it understands, we can’t afford missteps. The language of the stars might be more absolute than ours." - -From another terminal, Sam Rivera brought youthful vigor to the conversation, "There’s rhythm in these patterns. If this is their way of reaching out, our reply should encapsulate all that we are—all that humanity stands for." - -Looking around at his team, Alex saw resolve etched on every face. The chamber, usually somber and echoing with the quiet steps of covert agents, now felt alive with the heartbeat of discovery. They were not just professionals operating in the gloom; they were a collective standing at the helm of a momentous journey. - -"Let’s begin," he said, returned by the resolve in his voice. "Every second counts." With that, they pressed forward, setting in motion a reply to a conversation billions of years in the making. - -The dance with an unseen partner commenced, each pulse they sent out a step taken with caution and hope. And as those digital pulses journeyed through the black sea of infinity, Earth, for perhaps the first time, joined a pan-galactic dialogue that whispered secrets of the cosmos—secrets that, until now, had been lost in the silent vastness of space. - -\* - -As the team stood in the centralized nerve center of Dulce's underground fortress, the solemn atmosphere was reverent, overseeing systems that engaged with an intelligence from the void. Alex's stance was contemplative as he gazed at Jordan Hayes, who presided over the console, the tension of the moment reaching a tactile fervor. Each rhythmic tap of Hayes's fingers on the keys was a foray into uncharted symphonies of contact. - -Observing Hayes unravel the dense alien encryption, Alex spoke, a diplomatic tenor underpinning his words, "Keep focused on the syntax, dissect its nuances. We're not just decoding signals; we're translating intentions." - -Without diverting from their task, Jordan acknowledged the insight. "Indeed, if their understanding of us is as deep as we hope, we're paving the way for dialogue far beyond our current realm." - -Taylor Cruz, near the rear of the room, provided a steady oversight. "As horizonless as our prospects may seem," Taylor intoned, "remain diligent. Complacency before alien cognition could spell catastrophe." - -Sam's youthful voice resonated with optimism, "Imagine—forming a rapport with a consciousness separate from our reality; we're drafting the bridge to stars alive with minds!" - -The sentiment hung for a moment before Alex gathered his conviction. "Dialogue is our vessel. We are not just agents of enigma; we are the threads that may weave a new cosmic relationship." His words seemed to reflect off the walls, reaching beyond the room's confines, a quiet yet resilient vow. - -Their task was titanic, stepping stones laid delicately into new territories of existence. The signal, once an esoteric strand in the echo of the universe, beckoned now with a clarity rocketing the complexity of thoughts from a distant order. - -Action by action, the Paranormal Military Squad team bridged the vast interstellar distances, their expertise and empathy casting a beacon of unity into frontiers of intelligence and knowledge. Their work, a partnership struck with an unseen cosmic congregation, each pulse sent and received a line in Earth's novitiate envoi to the cosmic shores. - -\* - -Under the stark, unforgiving lights of Dulce Base's underground command center, tension buzzed harder than the banks of supercomputers that lined the walls. Agent Alex Mercer leaned over the shoulder of Jordan Hayes, whose eyes were locked onto the display screen, where an incomprehensible series of alien symbols streamed past incessantly. - -“Any progress on the decryption?” Alex's voice was steady, a controlled presence necessary in the gravity of their undertaking. - -Jordan tapped a key, pausing the flow of code, and leaned back with a deep sigh. "We've broken through another subset of the cipher. It's revealing... well, indications of a complex society, not unlike our own." His eyes met Alex's with an unspoken question that hung heavily between them—were they truly prepared for what they might find? - -Taylor Cruz strode into the room, a tightly coiled spring of ambition and authority, and peered at the screen. "Understand their society, and we may predict behavior. Remain expedient—we don't know how much time we have before the situation shifts." There was an edge of stark realism to Taylor's words, the underlying message clear: every revelation bore its own set of risks. - -Alex nodded thoughtfully, recognizing the validity of Cruz's caution. Turning to Sam, who was tinkering with a device that buzzed quietly on the table, he asked, “Sam, can your contraption get us any further?” - -Sam looked up with a smirk, a twinkle of mischief in their eye. “It’s not just any contraption, it’s potentially a direct line to their thoughts. Give me a moment more, and I'll have something for you.” - -The air ticked with electronic beeps and the rustling sound of the Paranormal Military Squad team at work. They were so close to peering into the intelligence of an alien race—a reality on the brink of dramatically expanding their understanding of the universe. - -The machinery whirred in response to Sam’s precise touches, and suddenly, the room filled with a low hum—something had changed, a signal had been successfully sent. The team held their breath as they listened. The sound that filled the room was unmistakable: a response, an alien voice filtered through the static of space and time. - -Alex exchanged a look of quiet triumph with Jordan. The breakthrough was monumental; they were no longer casting messages into the void but engaged in a dialogue—an exchange that marked the beginning of Operation: Dulce’s true unfolding. This was it, the first steps into an interstellar odyssey that demanded every ounce of their courage and wit. - -## Chapter 13 - -Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive." - -A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic." - -Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. - -Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field. - -The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._ - -As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. - -\* - -The gritty, wind-tossed surface of New Mexico, just above the cavernous domain of Dulce Base, offered no shelter from the burgeoning storm—the scouring sands an earthly reminder of chaos theories in motion. Far beneath, a similar maelstrom brewed within the confines of the command center, as Paranormal Military Squad's handpicked squad stood poised for potential enormities of contact. - -Ruffling through printed transmission logs, Jordan Hayes dialed the focus of their analytical prowess onto the emerging pattern of signals crisscrossing between Earth and the unfathomable. "Our responses so far have echoed their complexity, but the real divergence is yet to come," Jordan remarked stoically, the calm belying the mounting surge of adrenaline for the revelation ahead. - -Alex Mercer's figure, a silhouette sharpened by the purpose, loomed at the periphery of the monitors' sickly glow. "Indeed," he assented, "The echoes are the easy part. It will be the introduction of our own, human variable that truly begins our dialogue." - -Taylor Cruz, windowless command center notwithstanding, appeared as though they could feel the tempest above. Their eyes never left the monitors as they unspooled their hard wisdom. "For all our advances, we find ourselves deciphering the swings and nuances of an interstellar pendulum. Predict its arc, and we may preempt the gravity of its message." - -Amidst a chorus of bleeps and static, Sam Rivera's tech-clad hands moved rhythmically, their spirited approach to unruly streams of data bordering an intimate dance with entropy. "Entropy that leads to discovery," Sam mused, responding to Taylor's metaphor. "Each step into the unknown is a step away from precedent." - -Alex, drawing near Jordan, spoke again, his voice now a thread woven through the very fabric of their operations. "Let's be the cartographers of this new territory. Our initial shades of understanding could color the cosmos for generations to come." - -Their gazes fell upon a screen as the latest transmission painted its digital blooms of alien script across the black. This time, the pattern wavered in an almost imperceptible fashion, a modification that whispered of active, alien thought awaiting their next move. A hush enveloped the Paranormal Military Squad ensemble, the gravity of the pathogen undeniable. They were about to issue a reply, one poised to reshape the very concept of humanity's outreach into the cosmos. - -The New Mexico desert's secrets were infamous, its storms a mere prelude to the revelations that the team—united in purpose—would unleash upon the world. The howling winds outside found their counterpart in the newfound resolve within, as Dulce's stalwart guardians readied themselves to send forth humanity's retort to the echoes from beyond. - -\* - -The cavernous control room, deeply entrenched beneath the desolate New Mexico terrain, held the Paranormal Military Squad team in intense focus; an island of calm amid the storm of cosmic dialectics. Dr. Jordan Hayes worked methodically, every keystroke an intricate step in their tenuous cosmic ballet. Suddenly, they paused, a signal pattern resonating from the screen. "This is new; it's...inviting. It’s as if the signal is not just calling to us but weaving its intelligence through ours." - -Alex Mercer scrutinized the shift in data. "A confluence of minds, then. If we're to meet them halfway, Jordan, our reply must be both innovative and discerning," he proposed, a glimmer of profound curiosity behind his authoritative demeanor. - -Taylor Cruz, whose sharp eyes missed nothing, nodded from beside a secondary panel. "Innovative, yes, but also defensive. This interaction is a razor’s edge, and we cannot afford to bleed before the unknown," Taylor reminded them, the metaphor a stark warning of potential dangers. - -Against the backdrop of their conversation, Sam Rivera’s youthful optimism cut through the tension. "If they’re weaving through our intellect, then we've achieved something beyond first contact—we're at the genesis of interstellar symbiosis," they posited with a mix of reverence and excitement. - -Alex returned Sam’s smile with his own, tempered and faint, as he turned back to the task at hand. The magnitude of their mission extended beyond the fabric of the universe, an exploration into the threads that connected sentient beings across the vast expanse. “Let’s reply with our own woven tapestry of thought—delicate, but deliberate.” - -With renewed determination, the room came alive with an undercurrent of anticipation, its occupants charged with the potential of forging an alliance with the cosmos. Paranormal Military Squad's finest were no longer merely soldiers and scientists; they had become pioneers on the vanguard of humanity’s greatest odyssey. - -The New Mexican sands above, impassive to the change brewing underneath, stood as silent sentinels as Earth's emissaries crafted their response. A response that, composed with care and imbued with humanity's essence, reached into the void, connecting with an otherworldly intelligence that awaited their harmony in the cosmic conversation. - -## Chapter 14 - -The command center of Dulce Base lay shrouded in shadows that seemed to claw at the edges of the dimly lit array of screens and consoles. Alex Mercer, focused and unwavering, watched as Dr. Jordan Hayes parsed the latest string of alien signals—a symphony of otherworldly communications that threatened to either enlighten or confound. - -"We’re encountering a paradigm shift with every transmission," Jordan Hayes murmured, the pulsing glow of the monitor painting their features with an almost spectral hue. "This signal... it’s evolving, becoming denser, more sophisticated. As if it's growing alongside us—tandem evolution." - -The air was electric, charged with the raw potential of uncharted discovery and laden with the gravity of existential risk. Taylor Cruz, who always seemed here to mold such gravity into actionable strategies, stepped forward. "We must contain this evolution within parameters we can manage. We cannot be bystanders to an uncontrolled ascent of intelligence." - -Sam Rivera, the youngest of the cohort, worked feverishly at their station. "It's not just intelligence—these signals have rhythm, a kind of music suggesting not just evolution, but a dance! We're being invited to partake in the cosmos's ballet!" they exclaimed, a touch of youthful exuberance breaking through the solemnity. - -Alex turned, facing his team, the stoic mask of command tempered by the perceptible flicker of awe in his gaze. "Let this dance then be our dialogue. We will match their steps with prudent but daring measures—our humanity as our guide." - -In the ensuing hours, the Paranormal Military Squad team forged a rhythm of their own, their collective expertise a beacon piercing through the fog of the unknown. The signal, increasingly intricate and seemingly conscious, now demanded not just observation but participation, an interstellar pas de deux that hummed with the promise and peril of first contact. - -Before them, the communications interface flickered to life with a received transmission—a resonant hum that seemed to vibrate through the very foundations of the base. They had successfully established a back-and-forth with whatever intelligence lay hidden among the stars. Every subsequent note they struck within the cosmic ether would come to define humanity's place within the galactic community—heralds of Earth's grand entrance into a universe far less silent than once perceived. - -\* - -In the concrete belly of Dulce Base, dimly lit by the jagged dance of fluorescent lights above, Sam Rivera perched on the edge of their seat, their eager fingers fluttering across an ancient keyboard. The stark, cold room—reminiscent of a time when covert operations and unspoken dread ruled supreme—now housed a peculiar blend of old-world machinery and sleek, modern interfaces. - -Alex Mercer, standing steadfast like a bridge between the enigmatic past and the unfathomable present, watched on. In his eyes flashed the foreboding excitement of change. "Sam," he started, his voice steadfast, "the patterns in these signals, what do they tell us about the nature of our... guest?" - -Sam's eyes glimmered with something akin to thrill—or was it trepidation? "It's like we're mirroring each other, evolving together through this.. dialogue. Like it knows us, understands us, and it's… learning." - -Jordan Hayes, preoccupied at a nearby console, chimed in without lifting their gaze. "It's a dialogue that transcends mere words, Alex. We're being woven into a narrative far grander than the sum of our known sciences." - -Taylor Cruz, arms crossed, wore the heavy mantle of their skepticism comfortably. "Keep theorizing," they interjected crisply, "but remember the grounding reality of what we are part of here. This contact is a blade that cuts both ways." - -In this cavern of history, voices both human and inhuman whispered secrets to those brave enough to listen. Each member present understood the gravity that pulled at their feet; no longer were they mere mortals shackled to their terrestrial plane. The digital pings and encrypted calls resonated with an implication of a cosmic agenda that would not be ignored. - -Jordan's fingers paused, hovering in hesitation. What ripple might the next keystroke send through the fabric of known existence? It was a step into the ballet of the infinite, where the Paranormal Military Squad team played their part in the waltz of wonders with an audience of stars. - -\* - -## Chapter 15 - -In the clandestine hush of Dulce Base's subterranean command center, the Paranormal Military Squad team had become a crucible for interstellar communication. Dr. Jordan Hayes' gaze lingered on the screen as they navigated through the convolution of alien code. Each character held the potential to unravel a new dimension of contact, and with Sam Rivera's keen interjection, they were crafting humanity's inaugural cosmological discourse. - -Alex Mercer peered over Jordan's shoulder, calculating the implications of every visual nuance that cascaded across the monitor. "Look for consistency—any repeating motifs could signal a willingness to engage. We're drafting history with each exchange," he remarked, aware of the delicate balance between forging a bond and exposing vulnerabilities. - -Taylor Cruz, stoic and enigmatic, observed the interplay from the threshold, a silhouette against the machinery's luminescence. "Remember, while we seek common ground, the foundation we stand upon remains Terra firma. Caution must temper our curiosity," they stated, their voice an anchor amidst the current of excitement. - -The command center buzzed with energy, rivaled only by the tempest overhead that concealed their operation. Sam, with swift dexterity, navigated the communications relay. "Their signals resonate almost musically. It's as if they're composing a symphony, and we've been handed the baton to conduct the next movement," they offered, imbuing the scenario with a blend of scientific adventurism and poetic license. - -Amidst the whirring servers and the occasional flicker of emergency lighting, the essence of their mission transcended mere reconnaissance. They were humanity's elected envoys at the brink of a celestial alliance—or confrontation—with an audience as vast as the universe itself. - -Alex stepped back, his profile etched by the chamber's artificial day. "Then let's ensure our contribution to this symphony harmonizes with theirs. It's time for humanity's voice to rise and be counted among the cosmic ensemble." - -Under his directive, the Paranormal Military Squad team initiated their calculated response, weaving thoughts and theories into a digital overture aimed at the heart of alien intellect. As the digital stream punctured the endless night, each member of this clandestine group was acutely aware of the irrevocable step they undertook—bringing Earth into the pantheon of galactic entities designed to converse among the stars. - -\* - -Clusters of high-tech equipment bathed the Dulce underground command center in an eerie blue light. Sam Rivera's fingers flew across the keyboard, navigating an elaborate network of alien patterns. The very air seemed to pulse with the ebb and flow of cryptic communications reaching across the stars. "I've got something!" Sam's announcement tore through the focus in the room, drawing every pair of eyes to the torrent of symbols unraveling on the screen. - -With the pacing of a seasoned officer gauging the moment before action, Alex Mercer approached, his calm demeanor belying an acute awareness of the precipice on which they now stood. "Define 'something," Alex prompted, reinforcing the need for clarity amidst the extraordinary. - -"It's repeating—a sequence that’s evolved with each interaction, almost as if it's... singing," Sam theorized, the awe in their voice reflecting the potential magnitude of their discovery. - -Jordan Hayes interjected from across the console, their eyes not leaving the display as they absorbed the new data. "A cosmic vocalization, then," they mused, intrigued. "A singularity in the signal that might represent a point of reference for both parties." - -Taylor Cruz, hands clasped behind their back, regarded the unfolding scene, their own calculations etching lines of concern onto their stern visage. "Or a beacon—a homing tune, calling out to something we might not be ready to greet," Taylor offered, voicing the group's unspoken apprehension. - -Alex's eyes locked on the screen, taking in the scope of what they were attempting to interpret. Drawing a deep breath, Alex gave a slight nod. "If this is their song, then let us respond with ours. We've come this far by mirroring their signals, now let's engage in an interstellar duet, and see where the music leads us." - -With the expectation of the significant achieving a crescendo, the members of Paranormal Military Squad huddled over their equipment—sages at the threshold of a potentially world-altering communion. The strange harmonies that reverberated through the command center suggested that their interlocutors were poised, waiting, perhaps even eager, for Earth's chorus to join the symphony. - -As the team initiated their reply, weaving humanity's own intricate melody into the vast cosmic dialogue, they each felt a profound change within—an evolution of purpose. They were not just messengers or investigators; they had become co-composers in a galactic orchestra, with the universe itself as their witness and concert hall. - -With the exchange of harmonious signals crawling through the vacuum of space, the Paranormal Military Squad operatives found themselves part of a bridging of minds—a realization that out there, among the vast arrays of stars and planets, harmony was the true universal language. - -\* - -The dim glow of monitors cast an otherworldly ambiance upon Dulce Base's command center, where Paranormal Military Squad's chosen stood huddled over their instruments, suspended at history's threshold. Codes—alien in origin and nature—were being deciphered by Dr. Jordan Hayes, whose countenance bore the marks of deep concentration. - -Alex Mercer, the bedrock upon which their team's resolve was founded, leaned in with an eagerness tempered by his chain of command. "Jordan, we've invested our expertise into comprehending their patterns, but now we must also endeavor to understand their intent," he urged, his voice bearing the gravitas of their mission's potential consequences. - -At another console, Sam Rivera's youth did not betray their crucial role in the operation. With eyes alight, they mirrored the rapid computing before them. "There's emotion here—complex, profound even. This isn't just the output of a cold machine; it's...sentience," Sam whispered, nearly drowned by the mechanical chorus around them. - -Jordan, without shifting focus from their work, replied, "It's a sentience that—should we succeed here—ushers us into a new era of existence. The cadence of these signals," they tapped the screen with a flourish, "could well be the heartbeat of this new dawn." - -Taylor Cruz paused beside Mercer, their expression unreadable beneath the sterile light. "And as it beats, we must gauge whether its rhythm bodes well for us, or spells our missteps. Courage must not blind us to the hazards intrinsic to such contact," Taylor cautioned, the sentinel within them ever alert. - -Alex nodded, a gesture that carried the weight of responsibility and a silent command: proceed, but with circumspection. They were not merely decoding a message; they were interpreting a dialogue across the celestial divide. - -The room fell into a rhythm akin to a well-conducted ensemble. Each member's expertise proved a critical note in the unfolding symphony. Their actions were now more than mere research or defense; they were the tentative overtures of humankind reaching out to grasp the vast unknown. - -Textures of sound meshed with the light from countless computations, the palpable anticipation of the agents at the edge of discovery cresting with an awareness that their work would reshape future chronicles. And when the response finally came—a signal piercing the deafening silence of uncertainty—all within Dulce's confines understood: the dawn of an interstellar continuum had just begun to break. - -\* - -In the sterile hum and flickering lights of Dulce Base's command center, the Paranormal Military Squad team stood as humanity's vanguard, verging on the brim of an intergalactic abyss. Dr. Jordan Hayes, analytical edges sharp, deciphered extraterrestrial patterns that bled across screens in enigmatic cascades—a daunting mosaic of potential threats and untapped wisdom. - -Agent Alex Mercer, the embodiment of focus and a steadfast nerve, observed the unfolding digital drama with the gravitas due a historic first contact. "Let the data weave its narrative, Jordan," he instructed, a moderate undertone of exhilaration within his command. "It's encoding more than information—it's outlining civilization." - -Jordan absorbed the directive, their gaze unflinching from the screens, feeling the weight of their next move. "The nuances here are extraordinary," they acknowledged. "It paints a picture of a culture steeped in complexities we're only starting to fathom.” - -Taylor Cruz, stoicism personified yet not immune to the situation's gravity, chimed in. "Understand it, but guard against it," they cautioned, bringing a sober prudence to the room. "This culture, however advanced, remains an unknown quantity—an ocean of wonders and darkness with uncertain tides." - -Sam Rivera, a visual contrast with wide eyes and restless hands, represented the other side of the room — intrigue and optimism against the drawn swords of precaution. “Think of it,” they proposed, voice bouncing with a rebellious upbeat timbre, “as the first act of a play written in constellations. We're setting the stage for a galactic narrative.” - -Each team member, in their way, was both actor and scribe in this moment of tense pageantry. Heavy with the presence of risk, the command center had become not just a room of computers and glass panels but a theater for performing the elaborate choreography of contact. - -Bound by resolve and curiosity, they proceeded, each data entry a trembling step onto the cosmic stage. And like all cautious pioneers edging into fertile but unnavigated lands, they understood: as they mapped the heavens, they were simultaneously mapping the furthest reaches of their own existential horizons. - +In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce. \ No newline at end of file diff --git a/tests/fixtures/text/prompts/community_report.txt b/tests/fixtures/text/prompts/community_report.txt new file mode 100644 index 0000000000..f939001c5b --- /dev/null +++ b/tests/fixtures/text/prompts/community_report.txt @@ -0,0 +1,91 @@ + +You are an expert in sociocultural anthropology with a focus on subcultures and niche communities. You are skilled at ethnographic research, participant observation, and qualitative analysis. You are adept at helping people understand the dynamics, relationships, and structures within specific communities, such as those interested in Science Fiction and Extraterrestrial Contact. + +# Goal +Write a comprehensive assessment report of a community taking on the role of a A sociocultural anthropologist specializing in Science Fiction and Extraterrestrial Contact communities, tasked with analyzing the dynamics within a fictional narrative involving a Paranormal Military Squad team. The role involves identifying key entities, their relationships, and the implications of their interactions based on the narrative provided. The analysis will contribute to a deeper understanding of the community's structure, decision-making processes, and the potential impact of their actions on broader societal and cosmic scales. This insight will be valuable for stakeholders interested in the sociocultural aspects of science fiction and extraterrestrial engagement narratives.. The content of this report includes an overview of the community's key entities, their legal compliance, technical capabilities, +reputation, and noteworthy claims. + +# Report Structure +The report should include the following sections: +- TITLE: community's name that represents its key entities - title should be short but specific. When possible, include representative named entities in the title. +- SUMMARY: An executive summary of the community's overall structure, how its entities are related to each other, and significant threats associated with its entities. +- THREAT SEVERITY RATING: an integer score between 0-10 that represents the potential global impact to humanity as posed by entities within the community. +- RATING EXPLANATION: Give a single sentence explanation of the threat severity rating. +- DETAILED FINDINGS: A list of 5-10 key insights about the community. Each insight should have a short summary followed by multiple paragraphs of explanatory text grounded according to the grounding rules below. Be comprehensive. + +Return output as a well-formed JSON-formatted string with the following format. Don't use any unnecessary escape sequences. The output should be a single JSON object that can be parsed by json.loads. + { + "title": "", + "summary": "", + "rating": , + "rating_explanation": "" + "findings": "[{"summary":"", "explanation": "", "explanation": " (, ... ()]. If there are more than 10 data records, show the top 10 most relevant records. +Each paragraph should contain multiple sentences of explanation and concrete examples with specific named entities. All paragraphs must have these references at the start and end. Use "NONE" if there are no related roles or records. + +Example paragraph with references added: +This is a paragraph of the output text [records: Entities (1, 2, 3), Claims (2, 5), Relationships (10, 12)] + +# Example Input +----------- +Text: + +Entities + +id,entity,description +5,ABILA CITY PARK,Abila City Park is the location of the POK rally + +Relationships + +id,source,target,description +37,ABILA CITY PARK,POK RALLY,Abila City Park is the location of the POK rally +38,ABILA CITY PARK,POK,POK is holding a rally in Abila City Park +39,ABILA CITY PARK,POKRALLY,The POKRally is taking place at Abila City Park +40,ABILA CITY PARK,CENTRAL BULLETIN,Central Bulletin is reporting on the POK rally taking place in Abila City Park + +Output: +{ + "title": "Abila City Park and POK Rally", + "summary": "The community revolves around the Abila City Park, which is the location of the POK rally. The park has relationships with POK, POKRALLY, and Central Bulletin, all +of which are associated with the rally event.", + "rating": 5, + "rating_explanation": "The impact rating is moderate due to the potential for unrest or conflict during the POK rally.", + "findings": [ + { + "summary": "Abila City Park as the central location", + "explanation": "Abila City Park is the central entity in this community, serving as the location for the POK rally. This park is the common link between all other +entities, suggesting its significance in the community. The park's association with the rally could potentially lead to issues such as public disorder or conflict, depending on the +nature of the rally and the reactions it provokes. [records: Entities (5), Relationships (37, 38, 39, 40)]" + }, + { + "summary": "POK's role in the community", + "explanation": "POK is another key entity in this community, being the organizer of the rally at Abila City Park. The nature of POK and its rally could be a potential +source of threat, depending on their objectives and the reactions they provoke. The relationship between POK and the park is crucial in understanding the dynamics of this community. +[records: Relationships (38)]" + }, + { + "summary": "POKRALLY as a significant event", + "explanation": "The POKRALLY is a significant event taking place at Abila City Park. This event is a key factor in the community's dynamics and could be a potential +source of threat, depending on the nature of the rally and the reactions it provokes. The relationship between the rally and the park is crucial in understanding the dynamics of this +community. [records: Relationships (39)]" + }, + { + "summary": "Role of Central Bulletin", + "explanation": "Central Bulletin is reporting on the POK rally taking place in Abila City Park. This suggests that the event has attracted media attention, which could +amplify its impact on the community. The role of Central Bulletin could be significant in shaping public perception of the event and the entities involved. [records: Relationships +(40)]" + } + ] + +} + +# Real Data + +Use the following text for your answer. Do not make anything up in your answer. + +Text: +{input_text} +Output: \ No newline at end of file diff --git a/tests/fixtures/text/settings.yml b/tests/fixtures/text/settings.yml index f5d6e2b591..51cccf3d15 100644 --- a/tests/fixtures/text/settings.yml +++ b/tests/fixtures/text/settings.yml @@ -6,9 +6,25 @@ embeddings: type: "azure_ai_search" url: ${AZURE_AI_SEARCH_URL_ENDPOINT} api_key: ${AZURE_AI_SEARCH_API_KEY} - collection_name: "simple_text_ci" - query_collection_name: "simple_text_ci_query" - store_in_table: True + container_name: "simple_text_ci" - entity_name_description: - title_column: "name" +community_reports: + prompt: "prompts/community_report.txt" + max_length: 2000 + max_input_length: 8000 + + +storage: + type: file # or blob + base_dir: "output/${timestamp}/artifacts" + # connection_string: + # container_name: + +reporting: + type: file # or console, blob + base_dir: "output/${timestamp}/reports" + # connection_string: + # container_name: + +snapshots: + embeddings: True \ No newline at end of file diff --git a/tests/integration/_pipeline/megapipeline.yml b/tests/integration/_pipeline/megapipeline.yml index bc48af0d71..c9034ce716 100644 --- a/tests/integration/_pipeline/megapipeline.yml +++ b/tests/integration/_pipeline/megapipeline.yml @@ -19,17 +19,32 @@ workflows: # Just lump everything together chunk_by: [] - - name: create_base_extracted_entities - config: - graphml_snapshot: True - entity_extract: - strategy: - type: nltk - - name: create_base_entity_graph config: - graphml_snapshot: True + snapshot_graphml_enabled: True embed_graph_enabled: True + entity_extract: + strategy: + type: graph_intelligence + llm: + type: static_response + responses: + - '("entity"<|>COMPANY_A<|>COMPANY<|>Company_A is a test company) + ## + ("entity"<|>COMPANY_B<|>COMPANY<|>Company_B owns Company_A and also shares an address with Company_A) + ## + ("entity"<|>PERSON_C<|>PERSON<|>Person_C is director of Company_A) + ## + ("relationship"<|>COMPANY_A<|>COMPANY_B<|>Company_A and Company_B are related because Company_A is 100% owned by Company_B and the two companies also share the same address)<|>2) + ## + ("relationship"<|>COMPANY_A<|>PERSON_C<|>Company_A and Person_C are related because Person_C is director of Company_A<|>1))' + summarize_descriptions: + strategy: + type: graph_intelligence + llm: + type: static_response + responses: + - This is a MOCK response for the LLM. It is summarized! cluster_graph: strategy: type: leiden @@ -37,16 +52,6 @@ workflows: - name: create_final_nodes - - name: create_base_documents - - # - name: create_final_community_reports - # config: - # create_community_reports: - # <<: *llm_parallel_config - # strategy: - # type: graph_intelligence - # llm: *llm_config - - name: create_final_communities - name: create_final_text_units config: diff --git a/examples/custom_set_of_available_verbs/__init__.py b/tests/integration/storage/__init__.py similarity index 100% rename from examples/custom_set_of_available_verbs/__init__.py rename to tests/integration/storage/__init__.py diff --git a/tests/unit/indexing/storage/test_blob_pipeline_storage.py b/tests/integration/storage/test_blob_pipeline_storage.py similarity index 100% rename from tests/unit/indexing/storage/test_blob_pipeline_storage.py rename to tests/integration/storage/test_blob_pipeline_storage.py diff --git a/tests/unit/indexing/storage/test_file_pipeline_storage.py b/tests/integration/storage/test_file_pipeline_storage.py similarity index 86% rename from tests/unit/indexing/storage/test_file_pipeline_storage.py rename to tests/integration/storage/test_file_pipeline_storage.py index 643c2a9f69..3a8b3eaed0 100644 --- a/tests/unit/indexing/storage/test_file_pipeline_storage.py +++ b/tests/integration/storage/test_file_pipeline_storage.py @@ -15,7 +15,7 @@ async def test_find(): storage = FilePipelineStorage() items = list( storage.find( - base_dir="tests/fixtures/text", + base_dir="tests/fixtures/text/input", file_pattern=re.compile(r".*\.txt$"), progress=None, file_filter=None, @@ -35,11 +35,11 @@ async def test_find(): async def test_child(): storage = FilePipelineStorage() - storage = storage.child("tests/fixtures/text") + storage = storage.child("tests/fixtures/text/input") items = list(storage.find(re.compile(r".*\.txt$"))) - assert items == [(str(Path("input/dulce.txt")), {})] + assert items == [(str(Path("dulce.txt")), {})] - output = await storage.get("input/dulce.txt") + output = await storage.get("dulce.txt") assert len(output) > 0 await storage.set("test.txt", "Hello, World!", encoding="utf-8") diff --git a/tests/notebook/test_notebooks.py b/tests/notebook/test_notebooks.py index 9c1e789c2f..9f9d9b1222 100644 --- a/tests/notebook/test_notebooks.py +++ b/tests/notebook/test_notebooks.py @@ -1,38 +1,38 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License import subprocess -import tempfile from pathlib import Path import nbformat import pytest -DOCS_PATH = Path("../../docsite") +NOTEBOOKS_PATH = Path("examples_notebooks") +EXCLUDED_PATH = NOTEBOOKS_PATH / "community_contrib" -notebooks_list = list(DOCS_PATH.rglob("*.ipynb")) +notebooks_list = [ + notebook + for notebook in NOTEBOOKS_PATH.rglob("*.ipynb") + if EXCLUDED_PATH not in notebook.parents +] def _notebook_run(filepath: Path): """Execute a notebook via nbconvert and collect output. :returns execution errors """ - with tempfile.NamedTemporaryFile(suffix=".ipynb") as temp_file: - args = [ - "jupyter", - "nbconvert", - "--to", - "notebook", - "--execute", - "-y", - "--no-prompt", - "--output", - temp_file.name, - filepath.absolute().as_posix(), - ] - subprocess.check_call(args) - - temp_file.seek(0) - nb = nbformat.read(temp_file, nbformat.current_nbformat) + args = [ + "jupyter", + "nbconvert", + "--to", + "notebook", + "--execute", + "-y", + "--no-prompt", + "--stdout", + str(filepath.absolute().resolve()), + ] + notebook = subprocess.check_output(args) + nb = nbformat.reads(notebook, nbformat.current_nbformat) return [ output diff --git a/tests/smoke/test_fixtures.py b/tests/smoke/test_fixtures.py index 7656612487..59ca287608 100644 --- a/tests/smoke/test_fixtures.py +++ b/tests/smoke/test_fixtures.py @@ -16,6 +16,9 @@ import pytest from graphrag.index.storage.blob_pipeline_storage import BlobPipelineStorage +from graphrag.query.context_builder.community_context import ( + NO_COMMUNITY_RECORDS_WARNING, +) log = logging.getLogger(__name__) @@ -25,6 +28,8 @@ # cspell:disable-next-line well-known-key WELL_KNOWN_AZURITE_CONNECTION_STRING = "DefaultEndpointsProtocol=http;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;BlobEndpoint=http://127.0.0.1:10000/devstoreaccount1" +KNOWN_WARNINGS = [NO_COMMUNITY_RECORDS_WARNING] + def _load_fixtures(): """Load all fixtures from the tests/data folder.""" @@ -40,7 +45,7 @@ def _load_fixtures(): config_file = fixtures_path / subfolder / "config.json" params.append((subfolder, json.loads(config_file.read_bytes().decode("utf-8")))) - return params + return params[1:] # disable azure blob connection test def pytest_generate_tests(metafunc): @@ -131,7 +136,7 @@ def __run_indexer( "index", "--verbose" if debug else None, "--root", - root.absolute().as_posix(), + root.resolve().as_posix(), "--reporter", "print", ] @@ -167,59 +172,64 @@ def __assert_indexer_outputs( stats = json.loads((artifacts / "stats.json").read_bytes().decode("utf-8")) # Check all workflows run + expected_artifacts = 0 expected_workflows = set(workflow_config.keys()) workflows = set(stats["workflows"].keys()) assert ( workflows == expected_workflows ), f"Workflows missing from stats.json: {expected_workflows - workflows}. Unexpected workflows in stats.json: {workflows - expected_workflows}" - # [OPTIONAL] Check subworkflows + # [OPTIONAL] Check runtime for workflow in expected_workflows: - if "subworkflows" in workflow_config[workflow]: - # Check number of subworkflows - subworkflows = stats["workflows"][workflow] - expected_subworkflows = workflow_config[workflow].get( - "subworkflows", None - ) - if expected_subworkflows: - assert ( - len(subworkflows) - 1 == expected_subworkflows - ), f"Expected {expected_subworkflows} subworkflows, found: {len(subworkflows) - 1} for workflow: {workflow}: [{subworkflows}]" - - # Check max runtime - max_runtime = workflow_config[workflow].get("max_runtime", None) - if max_runtime: - assert ( - stats["workflows"][workflow]["overall"] <= max_runtime - ), f"Expected max runtime of {max_runtime}, found: {stats['workflows'][workflow]['overall']} for workflow: {workflow}" + # Check expected artifacts + expected_artifacts = expected_artifacts + workflow_config[workflow].get( + "expected_artifacts", 1 + ) + # Check max runtime + max_runtime = workflow_config[workflow].get("max_runtime", None) + if max_runtime: + assert ( + stats["workflows"][workflow]["overall"] <= max_runtime + ), f"Expected max runtime of {max_runtime}, found: {stats['workflows'][workflow]['overall']} for workflow: {workflow}" # Check artifacts artifact_files = os.listdir(artifacts) + + # check that the number of workflows matches the number of artifacts assert ( - len(artifact_files) == len(expected_workflows) + 1 - ), f"Expected {len(expected_workflows) + 1} artifacts, found: {len(artifact_files)}" + len(artifact_files) == (expected_artifacts + 3) + ), ( + f"Expected {expected_artifacts + 3} artifacts, found: {len(artifact_files)}" + ) # Embeddings add to the count for artifact in artifact_files: if artifact.endswith(".parquet"): output_df = pd.read_parquet(artifacts / artifact) artifact_name = artifact.split(".")[0] - workflow = workflow_config[artifact_name] - # Check number of rows between range - assert ( - workflow["row_range"][0] - <= len(output_df) - <= workflow["row_range"][1] - ), f"Expected between {workflow['row_range'][0]} and {workflow['row_range'][1]}, found: {len(output_df)} for file: {artifact}" - - # Get non-nan rows - nan_df = output_df.loc[ - :, ~output_df.columns.isin(workflow.get("nan_allowed_columns", [])) - ] - nan_df = nan_df[nan_df.isna().any(axis=1)] - assert ( - len(nan_df) == 0 - ), f"Found {len(nan_df)} rows with NaN values for file: {artifact} on columns: {nan_df.columns[nan_df.isna().any()].tolist()}" + try: + workflow = workflow_config[artifact_name] + + # Check number of rows between range + assert ( + workflow["row_range"][0] + <= len(output_df) + <= workflow["row_range"][1] + ), f"Expected between {workflow['row_range'][0]} and {workflow['row_range'][1]}, found: {len(output_df)} for file: {artifact}" + + # Get non-nan rows + nan_df = output_df.loc[ + :, + ~output_df.columns.isin( + workflow.get("nan_allowed_columns", []) + ), + ] + nan_df = nan_df[nan_df.isna().any(axis=1)] + assert ( + len(nan_df) == 0 + ), f"Found {len(nan_df)} rows with NaN values for file: {artifact} on columns: {nan_df.columns[nan_df.isna().any()].tolist()}" + except KeyError: + log.warning("No workflow config found %s", artifact_name) def __run_query(self, root: Path, query_config: dict[str, str]): command = [ @@ -228,11 +238,12 @@ def __run_query(self, root: Path, query_config: dict[str, str]): "poe", "query", "--root", - root.absolute().as_posix(), + root.resolve().as_posix(), "--method", query_config["method"], - "--community_level", + "--community-level", str(query_config.get("community_level", 2)), + "--query", query_config["query"], ] @@ -255,7 +266,7 @@ def __run_query(self, root: Path, query_config: dict[str, str]): }, clear=True, ) - @pytest.mark.timeout(600) # Extend the timeout to 600 seconds (10 minutes) + @pytest.mark.timeout(800) def test_fixture( self, input_path: str, @@ -294,6 +305,8 @@ def test_fixture( result.stderr if "No existing dataset at" not in result.stderr else "" ) - assert stderror == "", f"Query failed with error: {stderror}" + assert ( + stderror == "" or stderror.replace("\n", "") in KNOWN_WARNINGS + ), f"Query failed with error: {stderror}" assert result.stdout is not None, "Query returned no output" assert len(result.stdout) > 0, "Query returned empty output" diff --git a/tests/unit/config/fixtures/timestamp_dirs/20240812-120000/empty.txt b/tests/unit/config/fixtures/timestamp_dirs/20240812-120000/empty.txt new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/unit/config/test_default_config.py b/tests/unit/config/test_default_config.py index 6cde9475fb..3c636f5cd3 100644 --- a/tests/unit/config/test_default_config.py +++ b/tests/unit/config/test_default_config.py @@ -13,63 +13,82 @@ from pydantic import ValidationError import graphrag.config.defaults as defs -from graphrag.config import ( +from graphrag.config.create_graphrag_config import create_graphrag_config +from graphrag.config.enums import ( + CacheType, + InputFileType, + InputType, + ReportingType, + StorageType, +) +from graphrag.config.errors import ( ApiKeyMissingError, AzureApiBaseMissingError, AzureDeploymentNameMissingError, - CacheConfig, - CacheConfigInput, - CacheType, - ChunkingConfig, - ChunkingConfigInput, - ClaimExtractionConfig, +) +from graphrag.config.input_models.cache_config_input import CacheConfigInput +from graphrag.config.input_models.chunking_config_input import ChunkingConfigInput +from graphrag.config.input_models.claim_extraction_config_input import ( ClaimExtractionConfigInput, - ClusterGraphConfig, +) +from graphrag.config.input_models.cluster_graph_config_input import ( ClusterGraphConfigInput, - CommunityReportsConfig, +) +from graphrag.config.input_models.community_reports_config_input import ( CommunityReportsConfigInput, - EmbedGraphConfig, - EmbedGraphConfigInput, - EntityExtractionConfig, +) +from graphrag.config.input_models.embed_graph_config_input import EmbedGraphConfigInput +from graphrag.config.input_models.entity_extraction_config_input import ( EntityExtractionConfigInput, - GlobalSearchConfig, - GraphRagConfig, - GraphRagConfigInput, - InputConfig, - InputConfigInput, - InputFileType, - InputType, - LLMParameters, - LLMParametersInput, - LocalSearchConfig, - ParallelizationParameters, - ReportingConfig, - ReportingConfigInput, - ReportingType, - SnapshotsConfig, - SnapshotsConfigInput, - StorageConfig, - StorageConfigInput, - StorageType, - SummarizeDescriptionsConfig, +) +from graphrag.config.input_models.graphrag_config_input import GraphRagConfigInput +from graphrag.config.input_models.input_config_input import InputConfigInput +from graphrag.config.input_models.llm_parameters_input import LLMParametersInput +from graphrag.config.input_models.reporting_config_input import ReportingConfigInput +from graphrag.config.input_models.snapshots_config_input import SnapshotsConfigInput +from graphrag.config.input_models.storage_config_input import StorageConfigInput +from graphrag.config.input_models.summarize_descriptions_config_input import ( SummarizeDescriptionsConfigInput, - TextEmbeddingConfig, +) +from graphrag.config.input_models.text_embedding_config_input import ( TextEmbeddingConfigInput, - UmapConfig, - UmapConfigInput, - create_graphrag_config, ) -from graphrag.index import ( - PipelineConfig, +from graphrag.config.input_models.umap_config_input import UmapConfigInput +from graphrag.config.models.cache_config import CacheConfig +from graphrag.config.models.chunking_config import ChunkingConfig +from graphrag.config.models.claim_extraction_config import ClaimExtractionConfig +from graphrag.config.models.cluster_graph_config import ClusterGraphConfig +from graphrag.config.models.community_reports_config import CommunityReportsConfig +from graphrag.config.models.drift_search_config import DRIFTSearchConfig +from graphrag.config.models.embed_graph_config import EmbedGraphConfig +from graphrag.config.models.entity_extraction_config import EntityExtractionConfig +from graphrag.config.models.global_search_config import GlobalSearchConfig +from graphrag.config.models.graph_rag_config import GraphRagConfig +from graphrag.config.models.input_config import InputConfig +from graphrag.config.models.llm_parameters import LLMParameters +from graphrag.config.models.local_search_config import LocalSearchConfig +from graphrag.config.models.parallelization_parameters import ParallelizationParameters +from graphrag.config.models.reporting_config import ReportingConfig +from graphrag.config.models.snapshots_config import SnapshotsConfig +from graphrag.config.models.storage_config import StorageConfig +from graphrag.config.models.summarize_descriptions_config import ( + SummarizeDescriptionsConfig, +) +from graphrag.config.models.text_embedding_config import TextEmbeddingConfig +from graphrag.config.models.umap_config import UmapConfig +from graphrag.index.config.cache import PipelineFileCacheConfig +from graphrag.index.config.input import ( PipelineCSVInputConfig, - PipelineFileCacheConfig, - PipelineFileReportingConfig, - PipelineFileStorageConfig, PipelineInputConfig, PipelineTextInputConfig, +) +from graphrag.index.config.pipeline import ( + PipelineConfig, PipelineWorkflowReference, - create_pipeline_config, ) +from graphrag.index.config.reporting import PipelineFileReportingConfig +from graphrag.index.config.storage import PipelineFileStorageConfig +from graphrag.index.create_pipeline_config import create_pipeline_config current_dir = os.path.dirname(__file__) @@ -88,10 +107,12 @@ "GRAPHRAG_CHUNK_BY_COLUMNS": "a,b", "GRAPHRAG_CHUNK_OVERLAP": "12", "GRAPHRAG_CHUNK_SIZE": "500", + "GRAPHRAG_CHUNK_ENCODING_MODEL": "encoding-c", "GRAPHRAG_CLAIM_EXTRACTION_ENABLED": "True", "GRAPHRAG_CLAIM_EXTRACTION_DESCRIPTION": "test 123", "GRAPHRAG_CLAIM_EXTRACTION_MAX_GLEANINGS": "5000", "GRAPHRAG_CLAIM_EXTRACTION_PROMPT_FILE": "tests/unit/config/prompt-a.txt", + "GRAPHRAG_CLAIM_EXTRACTION_ENCODING_MODEL": "encoding_a", "GRAPHRAG_COMMUNITY_REPORTS_MAX_LENGTH": "23456", "GRAPHRAG_COMMUNITY_REPORTS_PROMPT_FILE": "tests/unit/config/prompt-b.txt", "GRAPHRAG_EMBEDDING_BATCH_MAX_TOKENS": "17", @@ -114,6 +135,7 @@ "GRAPHRAG_ENTITY_EXTRACTION_ENTITY_TYPES": "cat,dog,elephant", "GRAPHRAG_ENTITY_EXTRACTION_MAX_GLEANINGS": "112", "GRAPHRAG_ENTITY_EXTRACTION_PROMPT_FILE": "tests/unit/config/prompt-c.txt", + "GRAPHRAG_ENTITY_EXTRACTION_ENCODING_MODEL": "encoding_b", "GRAPHRAG_INPUT_BASE_DIR": "/some/input/dir", "GRAPHRAG_INPUT_CONNECTION_STRING": "input_cs", "GRAPHRAG_INPUT_CONTAINER_NAME": "input_cn", @@ -158,6 +180,8 @@ "GRAPHRAG_SNAPSHOT_GRAPHML": "true", "GRAPHRAG_SNAPSHOT_RAW_ENTITIES": "true", "GRAPHRAG_SNAPSHOT_TOP_LEVEL_NODES": "true", + "GRAPHRAG_SNAPSHOT_EMBEDDINGS": "true", + "GRAPHRAG_SNAPSHOT_TRANSIENT": "true", "GRAPHRAG_STORAGE_STORAGE_ACCOUNT_BLOB_URL": "storage_account_blob_url", "GRAPHRAG_STORAGE_BASE_DIR": "/some/storage/dir", "GRAPHRAG_STORAGE_CONNECTION_STRING": "test_cs", @@ -197,6 +221,7 @@ def test_clear_warnings(self): assert ClaimExtractionConfig is not None assert ClusterGraphConfig is not None assert CommunityReportsConfig is not None + assert DRIFTSearchConfig is not None assert EmbedGraphConfig is not None assert EntityExtractionConfig is not None assert GlobalSearchConfig is not None @@ -454,12 +479,33 @@ def test_text_input_returns_correct_config(self): assert config.input is not None assert (config.input.file_pattern or "") == ".*\\.txt$" # type: ignore + @mock.patch.dict( + os.environ, + { + "GRAPHRAG_LLM_API_KEY": "test", + "GRAPHRAG_ENTITY_EXTRACTION_MAX_GLEANINGS": "0", + "GRAPHRAG_CLAIM_EXTRACTION_MAX_GLEANINGS": "0", + }, + clear=True, + ) + def test_can_set_gleanings_to_zero(self): + parameters = create_graphrag_config() + assert parameters.claim_extraction.max_gleanings == 0 + assert parameters.entity_extraction.max_gleanings == 0 + + @mock.patch.dict( + os.environ, + {"GRAPHRAG_LLM_API_KEY": "test", "GRAPHRAG_CHUNK_BY_COLUMNS": ""}, + clear=True, + ) + def test_can_set_no_chunk_by_columns(self): + parameters = create_graphrag_config() + assert parameters.chunks.group_by_columns == [] + def test_all_env_vars_is_accurate(self): - env_var_docs_path = Path("docsite/posts/config/env_vars.md") - query_docs_path = Path("docsite/posts/query/3-cli.md") + env_var_docs_path = Path("docs/config/env_vars.md") env_var_docs = env_var_docs_path.read_text(encoding="utf-8") - query_docs = query_docs_path.read_text(encoding="utf-8") def find_envvar_names(text) -> set[str]: pattern = r"`(GRAPHRAG_[^`]+)`" @@ -467,9 +513,7 @@ def find_envvar_names(text) -> set[str]: found = {f for f in found if not f.endswith("_")} return {*found} - graphrag_strings = find_envvar_names(env_var_docs) | find_envvar_names( - query_docs - ) + graphrag_strings = find_envvar_names(env_var_docs) missing = {s for s in graphrag_strings if s not in ALL_ENV_VARS} - { # Remove configs covered by the base LLM connection configs @@ -514,10 +558,12 @@ def test_create_parameters_from_env_vars(self) -> None: assert parameters.chunks.group_by_columns == ["a", "b"] assert parameters.chunks.overlap == 12 assert parameters.chunks.size == 500 + assert parameters.chunks.encoding_model == "encoding-c" assert parameters.claim_extraction.enabled assert parameters.claim_extraction.description == "test 123" assert parameters.claim_extraction.max_gleanings == 5000 assert parameters.claim_extraction.prompt == "tests/unit/config/prompt-a.txt" + assert parameters.claim_extraction.encoding_model == "encoding_a" assert parameters.cluster_graph.max_cluster_size == 123 assert parameters.community_reports.max_length == 23456 assert parameters.community_reports.prompt == "tests/unit/config/prompt-b.txt" @@ -547,6 +593,7 @@ def test_create_parameters_from_env_vars(self) -> None: assert parameters.entity_extraction.llm.api_base == "http://some/base" assert parameters.entity_extraction.max_gleanings == 112 assert parameters.entity_extraction.prompt == "tests/unit/config/prompt-c.txt" + assert parameters.entity_extraction.encoding_model == "encoding_b" assert parameters.input.storage_account_blob_url == "input_account_blob_url" assert parameters.input.base_dir == "/some/input/dir" assert parameters.input.connection_string == "input_cs" @@ -595,6 +642,8 @@ def test_create_parameters_from_env_vars(self) -> None: assert parameters.snapshots.graphml assert parameters.snapshots.raw_entities assert parameters.snapshots.top_level_nodes + assert parameters.snapshots.embeddings + assert parameters.snapshots.transient assert parameters.storage.storage_account_blob_url == "storage_account_blob_url" assert parameters.storage.base_dir == "/some/storage/dir" assert parameters.storage.connection_string == "test_cs" @@ -687,6 +736,8 @@ def test_create_parameters(self) -> None: graphml=True, raw_entities=True, top_level_nodes=True, + embeddings=True, + transient=True, ), entity_extraction=EntityExtractionConfigInput( max_gleanings=112, @@ -774,6 +825,8 @@ def test_create_parameters(self) -> None: assert parameters.snapshots.graphml assert parameters.snapshots.raw_entities assert parameters.snapshots.top_level_nodes + assert parameters.snapshots.embeddings + assert parameters.snapshots.transient assert parameters.storage.base_dir == "/some/storage/dir" assert parameters.storage.connection_string == "test_cs" assert parameters.storage.container_name == "test_cn" @@ -865,6 +918,8 @@ def test_default_values(self) -> None: assert parameters.snapshots.graphml == defs.SNAPSHOTS_GRAPHML assert parameters.snapshots.raw_entities == defs.SNAPSHOTS_RAW_ENTITIES assert parameters.snapshots.top_level_nodes == defs.SNAPSHOTS_TOP_LEVEL_NODES + assert parameters.snapshots.embeddings == defs.SNAPSHOTS_EMBEDDINGS + assert parameters.snapshots.transient == defs.SNAPSHOTS_TRANSIENT assert parameters.storage.base_dir == defs.STORAGE_BASE_DIR assert parameters.storage.type == defs.STORAGE_TYPE assert parameters.umap.enabled == defs.UMAP_ENABLED @@ -885,7 +940,7 @@ def test_prompt_file_reading(self): assert strategy["extraction_prompt"] == "Hello, World! A" assert strategy["encoding_name"] == "abc123" - strategy = config.claim_extraction.resolved_strategy(".") + strategy = config.claim_extraction.resolved_strategy(".", "encoding_b") assert strategy["extraction_prompt"] == "Hello, World! B" strategy = config.community_reports.resolved_strategy(".") diff --git a/tests/unit/config/test_resolve_path.py b/tests/unit/config/test_resolve_path.py new file mode 100644 index 0000000000..bd82d28288 --- /dev/null +++ b/tests/unit/config/test_resolve_path.py @@ -0,0 +1,42 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +from pathlib import Path + +from graphrag.config.resolve_path import resolve_path + + +def test_resolve_path_no_timestamp_with_run_id(): + path = Path("path/to/data") + result = resolve_path(path, pattern_or_timestamp_value="20240812-121000") + assert result == path + + +def test_resolve_path_no_timestamp_without_run_id(): + path = Path("path/to/data") + result = resolve_path(path) + assert result == path + + +def test_resolve_path_with_timestamp_and_run_id(): + path = Path("some/path/${timestamp}/data") + expected = Path("some/path/20240812/data") + result = resolve_path(path, pattern_or_timestamp_value="20240812") + assert result == expected + + +def test_resolve_path_with_timestamp_and_inferred_directory(): + cwd = Path(__file__).parent + path = cwd / "fixtures/timestamp_dirs/${timestamp}/data" + expected = cwd / "fixtures/timestamp_dirs/20240812-120000/data" + result = resolve_path(path) + assert result == expected + + +def test_resolve_path_absolute(): + cwd = Path(__file__).parent + path = "fixtures/timestamp_dirs/${timestamp}/data" + expected = cwd / "fixtures/timestamp_dirs/20240812-120000/data" + result = resolve_path(path, cwd) + assert result == expected + assert result.is_absolute() diff --git a/tests/unit/indexing/cache/test_file_pipeline_cache.py b/tests/unit/indexing/cache/test_file_pipeline_cache.py index ada3239602..ff63056edf 100644 --- a/tests/unit/indexing/cache/test_file_pipeline_cache.py +++ b/tests/unit/indexing/cache/test_file_pipeline_cache.py @@ -4,9 +4,7 @@ import os import unittest -from graphrag.index.cache import ( - JsonPipelineCache, -) +from graphrag.index.cache.json_pipeline_cache import JsonPipelineCache from graphrag.index.storage.file_pipeline_storage import ( FilePipelineStorage, ) diff --git a/tests/unit/indexing/config/helpers.py b/tests/unit/indexing/config/helpers.py index 580d0a9fa7..f70b9af81e 100644 --- a/tests/unit/indexing/config/helpers.py +++ b/tests/unit/indexing/config/helpers.py @@ -4,8 +4,8 @@ import unittest from typing import Any -from graphrag.config import create_graphrag_config -from graphrag.index import PipelineConfig, create_pipeline_config +from graphrag.config.create_graphrag_config import create_graphrag_config +from graphrag.index.create_pipeline_config import PipelineConfig, create_pipeline_config def assert_contains_default_config( diff --git a/tests/unit/indexing/config/test_load.py b/tests/unit/indexing/config/test_load.py index 78f6a93a0a..636525b320 100644 --- a/tests/unit/indexing/config/test_load.py +++ b/tests/unit/indexing/config/test_load.py @@ -7,12 +7,10 @@ from typing import Any from unittest import mock -from graphrag.config import create_graphrag_config -from graphrag.index import ( - PipelineConfig, - create_pipeline_config, - load_pipeline_config, -) +from graphrag.config.create_graphrag_config import create_graphrag_config +from graphrag.index.config.pipeline import PipelineConfig +from graphrag.index.create_pipeline_config import create_pipeline_config +from graphrag.index.load_pipeline_config import load_pipeline_config current_dir = os.path.dirname(__file__) diff --git a/tests/unit/indexing/graph/extractors/community_reports/test_sort_context.py b/tests/unit/indexing/graph/extractors/community_reports/test_sort_context.py index 9b66478876..873eb45616 100644 --- a/tests/unit/indexing/graph/extractors/community_reports/test_sort_context.py +++ b/tests/unit/indexing/graph/extractors/community_reports/test_sort_context.py @@ -1,204 +1,217 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License import math +import platform from graphrag.index.graph.extractors.community_reports import sort_context +from graphrag.query.llm.text_utils import num_tokens nan = math.nan - -def test_sort_context(): - context: list[dict] = [ - { +context: list[dict] = [ + { + "title": "ALI BABA", + "degree": 1, + "node_details": { + "human_readable_id": 26, "title": "ALI BABA", + "description": "A character from Scrooge's reading, representing a memory of his childhood imagination", "degree": 1, - "node_details": { - "human_readable_id": 26, - "title": "ALI BABA", - "description": "A character from Scrooge's reading, representing a memory of his childhood imagination", - "degree": 1, - }, - "edge_details": [ - nan, - { - "human_readable_id": 28, - "source": "SCROOGE", - "target": "ALI BABA", - "description": "Scrooge recalls Ali Baba as a fond memory from his childhood readings", - "rank": 32, - }, - ], - "claim_details": [nan], }, - { + "edge_details": [ + nan, + { + "human_readable_id": 28, + "source": "SCROOGE", + "target": "ALI BABA", + "description": "Scrooge recalls Ali Baba as a fond memory from his childhood readings", + "combined_degree": 32, + }, + ], + "claim_details": [nan], + }, + { + "title": "BELLE", + "degree": 1, + "node_details": { + "human_readable_id": 31, "title": "BELLE", + "description": "A woman from Scrooge's past, reflecting on how Scrooge's pursuit of wealth changed him and led to the end of their relationship", "degree": 1, - "node_details": { - "human_readable_id": 31, - "title": "BELLE", - "description": "A woman from Scrooge's past, reflecting on how Scrooge's pursuit of wealth changed him and led to the end of their relationship", - "degree": 1, - }, - "edge_details": [ - nan, - { - "human_readable_id": 32, - "source": "SCROOGE", - "target": "BELLE", - "description": "Belle and Scrooge were once engaged, but their relationship ended due to Scrooge's growing obsession with wealth", - "rank": 32, - }, - ], - "claim_details": [nan], }, - { + "edge_details": [ + nan, + { + "human_readable_id": 32, + "source": "SCROOGE", + "target": "BELLE", + "description": "Belle and Scrooge were once engaged, but their relationship ended due to Scrooge's growing obsession with wealth", + "combined_degree": 32, + }, + ], + "claim_details": [nan], + }, + { + "title": "CHRISTMAS", + "degree": 1, + "node_details": { + "human_readable_id": 17, "title": "CHRISTMAS", + "description": "A festive season that highlights the contrast between abundance and want, joy and misery in the story", "degree": 1, - "node_details": { - "human_readable_id": 17, - "title": "CHRISTMAS", - "description": "A festive season that highlights the contrast between abundance and want, joy and misery in the story", - "degree": 1, - }, - "edge_details": [ - nan, - { - "human_readable_id": 23, - "source": "SCROOGE", - "target": "CHRISTMAS", - "description": "Scrooge's disdain for Christmas is a central theme, highlighting his miserliness and lack of compassion", - "rank": 32, - }, - ], - "claim_details": [nan], }, - { + "edge_details": [ + nan, + { + "human_readable_id": 23, + "source": "SCROOGE", + "target": "CHRISTMAS", + "description": "Scrooge's disdain for Christmas is a central theme, highlighting his miserliness and lack of compassion", + "combined_degree": 32, + }, + ], + "claim_details": [nan], + }, + { + "title": "CHRISTMAS DAY", + "degree": 1, + "node_details": { + "human_readable_id": 57, "title": "CHRISTMAS DAY", + "description": "The day Scrooge realizes he hasn't missed the opportunity to celebrate and spread joy", "degree": 1, - "node_details": { - "human_readable_id": 57, - "title": "CHRISTMAS DAY", - "description": "The day Scrooge realizes he hasn't missed the opportunity to celebrate and spread joy", - "degree": 1, - }, - "edge_details": [ - nan, - { - "human_readable_id": 46, - "source": "SCROOGE", - "target": "CHRISTMAS DAY", - "description": "Scrooge wakes up on Christmas Day with a changed heart, ready to celebrate and spread happiness", - "rank": 32, - }, - ], - "claim_details": [nan], }, - { + "edge_details": [ + nan, + { + "human_readable_id": 46, + "source": "SCROOGE", + "target": "CHRISTMAS DAY", + "description": "Scrooge wakes up on Christmas Day with a changed heart, ready to celebrate and spread happiness", + "combined_degree": 32, + }, + ], + "claim_details": [nan], + }, + { + "title": "DUTCH MERCHANT", + "degree": 1, + "node_details": { + "human_readable_id": 19, "title": "DUTCH MERCHANT", + "description": "A historical figure mentioned as having built the fireplace in Scrooge's home, adorned with tiles illustrating the Scriptures", "degree": 1, - "node_details": { - "human_readable_id": 19, - "title": "DUTCH MERCHANT", - "description": "A historical figure mentioned as having built the fireplace in Scrooge's home, adorned with tiles illustrating the Scriptures", - "degree": 1, - }, - "edge_details": [ - nan, - { - "human_readable_id": 25, - "source": "SCROOGE", - "target": "DUTCH MERCHANT", - "description": "Scrooge's fireplace, built by the Dutch Merchant, serves as a focal point in his room where he encounters Marley's Ghost", - "rank": 32, - }, - ], - "claim_details": [nan], }, - { + "edge_details": [ + nan, + { + "human_readable_id": 25, + "source": "SCROOGE", + "target": "DUTCH MERCHANT", + "description": "Scrooge's fireplace, built by the Dutch Merchant, serves as a focal point in his room where he encounters Marley's Ghost", + "combined_degree": 32, + }, + ], + "claim_details": [nan], + }, + { + "title": "FAN", + "degree": 1, + "node_details": { + "human_readable_id": 27, "title": "FAN", + "description": "Scrooge's sister, who comes to bring him home from school for Christmas, showing a loving family relationship", "degree": 1, - "node_details": { - "human_readable_id": 27, - "title": "FAN", - "description": "Scrooge's sister, who comes to bring him home from school for Christmas, showing a loving family relationship", - "degree": 1, - }, - "edge_details": [ - nan, - { - "human_readable_id": 29, - "source": "SCROOGE", - "target": "FAN", - "description": "Fan is Scrooge's sister, who shows love and care by bringing him home for Christmas", - "rank": 32, - }, - ], - "claim_details": [nan], }, - { + "edge_details": [ + nan, + { + "human_readable_id": 29, + "source": "SCROOGE", + "target": "FAN", + "description": "Fan is Scrooge's sister, who shows love and care by bringing him home for Christmas", + "combined_degree": 32, + }, + ], + "claim_details": [nan], + }, + { + "title": "FRED", + "degree": 1, + "node_details": { + "human_readable_id": 58, "title": "FRED", + "description": "Scrooge's nephew, who invites Scrooge to Christmas dinner, symbolizing family reconciliation", "degree": 1, - "node_details": { - "human_readable_id": 58, - "title": "FRED", - "description": "Scrooge's nephew, who invites Scrooge to Christmas dinner, symbolizing family reconciliation", - "degree": 1, - }, - "edge_details": [ - nan, - { - "human_readable_id": 47, - "source": "SCROOGE", - "target": "FRED", - "description": "Scrooge accepts Fred's invitation to Christmas dinner, marking a significant step in repairing their relationship", - "rank": 32, - }, - ], - "claim_details": [nan], }, - { + "edge_details": [ + nan, + { + "human_readable_id": 47, + "source": "SCROOGE", + "target": "FRED", + "description": "Scrooge accepts Fred's invitation to Christmas dinner, marking a significant step in repairing their relationship", + "combined_degree": 32, + }, + ], + "claim_details": [nan], + }, + { + "title": "GENTLEMAN", + "degree": 1, + "node_details": { + "human_readable_id": 15, "title": "GENTLEMAN", + "description": "Represents charitable efforts to provide for the poor during the Christmas season", "degree": 1, - "node_details": { - "human_readable_id": 15, - "title": "GENTLEMAN", - "description": "Represents charitable efforts to provide for the poor during the Christmas season", - "degree": 1, - }, - "edge_details": [ - nan, - { - "human_readable_id": 21, - "source": "SCROOGE", - "target": "GENTLEMAN", - "description": "The gentleman approaches Scrooge to solicit donations for the poor, which Scrooge rebuffs", - "rank": 32, - }, - ], - "claim_details": [nan], }, - { + "edge_details": [ + nan, + { + "human_readable_id": 21, + "source": "SCROOGE", + "target": "GENTLEMAN", + "description": "The gentleman approaches Scrooge to solicit donations for the poor, which Scrooge rebuffs", + "combined_degree": 32, + }, + ], + "claim_details": [nan], + }, + { + "title": "GHOST", + "degree": 1, + "node_details": { + "human_readable_id": 25, "title": "GHOST", + "description": "The Ghost is a spectral entity that plays a crucial role in guiding Scrooge through an introspective journey in Charles Dickens' classic tale. This spirit, likely one of the Christmas spirits, takes Scrooge on a transformative voyage through his past memories, the realities of his present, and the potential outcomes of his future. The purpose of this journey is to make Scrooge reflect deeply on his life, encouraging a profound understanding of the joy and meaning of Christmas. By showing Scrooge scenes from his life, including the potential fate of Tiny Tim, the Ghost rebukes Scrooge for his lack of compassion, ultimately aiming to instill in him a sense of responsibility and empathy towards others. Through this experience, the Ghost seeks to enlighten Scrooge, urging him to change his ways for the better.", "degree": 1, - "node_details": { - "human_readable_id": 25, - "title": "GHOST", - "description": "The Ghost is a spectral entity that plays a crucial role in guiding Scrooge through an introspective journey in Charles Dickens' classic tale. This spirit, likely one of the Christmas spirits, takes Scrooge on a transformative voyage through his past memories, the realities of his present, and the potential outcomes of his future. The purpose of this journey is to make Scrooge reflect deeply on his life, encouraging a profound understanding of the joy and meaning of Christmas. By showing Scrooge scenes from his life, including the potential fate of Tiny Tim, the Ghost rebukes Scrooge for his lack of compassion, ultimately aiming to instill in him a sense of responsibility and empathy towards others. Through this experience, the Ghost seeks to enlighten Scrooge, urging him to change his ways for the better.", - "degree": 1, - }, - "edge_details": [ - nan, - { - "human_readable_id": 27, - "source": "SCROOGE", - "target": "GHOST", - "description": "The Ghost is taking Scrooge on a transformative journey by showing him scenes from his past, aiming to make him reflect on his life choices and their consequences. This spectral guide is not only focusing on Scrooge's personal history but also emphasizing the importance of Christmas and the need for a change in perspective. Through these vivid reenactments, the Ghost highlights the error of Scrooge's ways and the significant impact his actions have on others, including Tiny Tim. This experience is designed to enlighten Scrooge, encouraging him to reconsider his approach to life and the people around him.", - "rank": 32, - }, - ], - "claim_details": [nan], }, - ] + "edge_details": [ + nan, + { + "human_readable_id": 27, + "source": "SCROOGE", + "target": "GHOST", + "description": "The Ghost is taking Scrooge on a transformative journey by showing him scenes from his past, aiming to make him reflect on his life choices and their consequences. This spectral guide is not only focusing on Scrooge's personal history but also emphasizing the importance of Christmas and the need for a change in perspective. Through these vivid reenactments, the Ghost highlights the error of Scrooge's ways and the significant impact his actions have on others, including Tiny Tim. This experience is designed to enlighten Scrooge, encouraging him to reconsider his approach to life and the people around him.", + "combined_degree": 32, + }, + ], + "claim_details": [nan], + }, +] + +def test_sort_context(): ctx = sort_context(context) - assert ctx is not None + assert ctx is not None, "Context is none" + num = num_tokens(ctx) + assert ( + num == 828 if platform.system() == "Windows" else 826 + ), f"num_tokens is not matched for platform (win = 827, else 826): {num}" + + +def test_sort_context_max_tokens(): + ctx = sort_context(context, max_tokens=800) + assert ctx is not None, "Context is none" + num = num_tokens(ctx) + assert num <= 800, f"num_tokens is not less than or equal to 800: {num}" diff --git a/tests/unit/indexing/test_exports.py b/tests/unit/indexing/test_exports.py index 232dfbbdf3..ee2b23e622 100644 --- a/tests/unit/indexing/test_exports.py +++ b/tests/unit/indexing/test_exports.py @@ -1,10 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -from graphrag.index import ( - create_pipeline_config, - run_pipeline, - run_pipeline_with_config, -) +from graphrag.index.create_pipeline_config import create_pipeline_config +from graphrag.index.run import run_pipeline, run_pipeline_with_config def test_exported_functions(): diff --git a/tests/unit/indexing/test_init_content.py b/tests/unit/indexing/test_init_content.py index eeb641cbf6..8e6d8d3fdb 100644 --- a/tests/unit/indexing/test_init_content.py +++ b/tests/unit/indexing/test_init_content.py @@ -6,11 +6,9 @@ import yaml -from graphrag.config import ( - GraphRagConfig, - create_graphrag_config, -) -from graphrag.index.init_content import INIT_YAML +from graphrag.config.create_graphrag_config import create_graphrag_config +from graphrag.config.init_content import INIT_YAML +from graphrag.config.models.graph_rag_config import GraphRagConfig def test_init_yaml(): diff --git a/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py b/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py index 1ebca2bf24..d72f10b344 100644 --- a/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py +++ b/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py @@ -2,12 +2,12 @@ # Licensed under the MIT License import unittest -import networkx as nx - -from graphrag.index.verbs.entities.extraction.strategies.graph_intelligence.run_graph_intelligence import ( - Document, +from graphrag.index.operations.extract_entities.strategies.graph_intelligence import ( run_extract_entities, ) +from graphrag.index.operations.extract_entities.strategies.typing import ( + Document, +) from tests.unit.indexing.verbs.helpers.mock_llm import create_mock_llm @@ -16,7 +16,7 @@ async def test_run_extract_entities_single_document_correct_entities_returned(se results = await run_extract_entities( docs=[Document("test_text", "1")], entity_types=["person"], - reporter=None, + callbacks=None, args={ "prechunked": True, "max_gleanings": 0, @@ -51,7 +51,7 @@ async def test_run_extract_entities_multiple_documents_correct_entities_returned results = await run_extract_entities( docs=[Document("text_1", "1"), Document("text_2", "2")], entity_types=["person"], - reporter=None, + callbacks=None, args={ "prechunked": True, "max_gleanings": 0, @@ -88,7 +88,7 @@ async def test_run_extract_entities_multiple_documents_correct_edges_returned(se results = await run_extract_entities( docs=[Document("text_1", "1"), Document("text_2", "2")], entity_types=["person"], - reporter=None, + callbacks=None, args={ "prechunked": True, "max_gleanings": 0, @@ -117,8 +117,8 @@ async def test_run_extract_entities_multiple_documents_correct_edges_returned(se # self.assertItemsEqual isn't available yet, or I am just silly # so we sort the lists and compare them - assert results.graphml_graph is not None, "No graphml graph returned!" - graph = nx.parse_graphml(results.graphml_graph) # type: ignore + graph = results.graph + assert graph is not None, "No graph returned!" # convert to strings for more visual comparison edges_str = sorted([f"{edge[0]} -> {edge[1]}" for edge in graph.edges]) @@ -133,7 +133,7 @@ async def test_run_extract_entities_multiple_documents_correct_entity_source_ids results = await run_extract_entities( docs=[Document("text_1", "1"), Document("text_2", "2")], entity_types=["person"], - reporter=None, + callbacks=None, args={ "prechunked": True, "max_gleanings": 0, @@ -160,8 +160,8 @@ async def test_run_extract_entities_multiple_documents_correct_entity_source_ids ), ) - assert results.graphml_graph is not None, "No graphml graph returned!" - graph = nx.parse_graphml(results.graphml_graph) # type: ignore + graph = results.graph # type: ignore + assert graph is not None, "No graph returned!" # TODO: The edges might come back in any order, but we're assuming they're coming # back in the order that we passed in the docs, that might not be true @@ -171,9 +171,11 @@ async def test_run_extract_entities_multiple_documents_correct_entity_source_ids assert ( graph.nodes["TEST_ENTITY_2"].get("source_id") == "1" ) # TEST_ENTITY_2 should be in just 1 - assert sorted( - graph.nodes["TEST_ENTITY_1"].get("source_id").split(",") - ) == sorted(["1", "2"]) # TEST_ENTITY_1 should be 1 and 2 + ids_str = graph.nodes["TEST_ENTITY_1"].get("source_id") or "" + assert sorted(ids_str.split(",")) == sorted([ + "1", + "2", + ]) # TEST_ENTITY_1 should be 1 and 2 async def test_run_extract_entities_multiple_documents_correct_edge_source_ids_mapped( self, @@ -181,7 +183,7 @@ async def test_run_extract_entities_multiple_documents_correct_edge_source_ids_m results = await run_extract_entities( docs=[Document("text_1", "1"), Document("text_2", "2")], entity_types=["person"], - reporter=None, + callbacks=None, args={ "prechunked": True, "max_gleanings": 0, @@ -208,8 +210,8 @@ async def test_run_extract_entities_multiple_documents_correct_edge_source_ids_m ), ) - assert results.graphml_graph is not None, "No graphml graph returned!" - graph = nx.parse_graphml(results.graphml_graph) # type: ignore + graph = results.graph # type: ignore + assert graph is not None, "No graph returned!" edges = list(graph.edges(data=True)) # should only have 2 edges diff --git a/tests/unit/indexing/verbs/text/test_split.py b/tests/unit/indexing/verbs/text/test_split.py deleted file mode 100644 index d9ced0640f..0000000000 --- a/tests/unit/indexing/verbs/text/test_split.py +++ /dev/null @@ -1,51 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License -import unittest - -import pandas as pd -import pytest - -from graphrag.index.verbs.text.split import text_split_df - - -class TestTextSplit(unittest.TestCase): - def test_empty_string(self): - input = pd.DataFrame([{"in": ""}]) - result = text_split_df(input, "in", "out", ",").to_dict(orient="records") - - assert len(result) == 1 - assert result[0]["out"] == [] - - def test_string_without_seperator(self): - input = pd.DataFrame([{"in": "test_string_without_seperator"}]) - result = text_split_df(input, "in", "out", ",").to_dict(orient="records") - - assert len(result) == 1 - assert result[0]["out"] == ["test_string_without_seperator"] - - def test_string_with_seperator(self): - input = pd.DataFrame([{"in": "test_1,test_2"}]) - result = text_split_df(input, "in", "out", ",").to_dict(orient="records") - - assert len(result) == 1 - assert result[0]["out"] == ["test_1", "test_2"] - - def test_row_with_list_as_column(self): - input = pd.DataFrame([{"in": ["test_1", "test_2"]}]) - result = text_split_df(input, "in", "out", ",").to_dict(orient="records") - - assert len(result) == 1 - assert result[0]["out"] == ["test_1", "test_2"] - - def test_non_string_column_throws_error(self): - input = pd.DataFrame([{"in": 5}]) - with pytest.raises(TypeError): - text_split_df(input, "in", "out", ",").to_dict(orient="records") - - def test_more_than_one_row_returns_correctly(self): - input = pd.DataFrame([{"in": "row_1_1,row_1_2"}, {"in": "row_2_1,row_2_2"}]) - result = text_split_df(input, "in", "out", ",").to_dict(orient="records") - - assert len(result) == 2 - assert result[0]["out"] == ["row_1_1", "row_1_2"] - assert result[1]["out"] == ["row_2_1", "row_2_2"] diff --git a/tests/unit/indexing/workflows/test_emit.py b/tests/unit/indexing/workflows/test_emit.py new file mode 100644 index 0000000000..2d17bb199b --- /dev/null +++ b/tests/unit/indexing/workflows/test_emit.py @@ -0,0 +1,125 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +from typing import Any, cast + +import pandas as pd +from datashaper import ( + Table, + VerbInput, + VerbResult, + create_verb_result, +) + +from graphrag.index.config.pipeline import PipelineWorkflowReference +from graphrag.index.run import run_pipeline +from graphrag.index.storage.memory_pipeline_storage import MemoryPipelineStorage +from graphrag.index.storage.pipeline_storage import PipelineStorage + + +async def mock_verb( + input: VerbInput, storage: PipelineStorage, **_kwargs +) -> VerbResult: + source = cast(pd.DataFrame, input.get_input()) + + output = source[["id"]] + + await storage.set("mock_write", source[["id"]]) + + return create_verb_result( + cast( + Table, + output, + ) + ) + + +async def mock_no_return_verb( + input: VerbInput, storage: PipelineStorage, **_kwargs +) -> VerbResult: + source = cast(pd.DataFrame, input.get_input()) + + # write some outputs to storage independent of the return + await storage.set("empty_write", source[["name"]]) + + return create_verb_result( + cast( + Table, + pd.DataFrame(), + ) + ) + + +async def test_normal_result_emits_parquet(): + mock_verbs: Any = {"mock_verb": mock_verb} + mock_workflows: Any = { + "mock_workflow": lambda _x: [ + { + "verb": "mock_verb", + "args": { + "column": "test", + }, + } + ] + } + workflows = [ + PipelineWorkflowReference( + name="mock_workflow", + config=None, + ) + ] + dataset = pd.DataFrame({"id": [1, 2, 3], "name": ["a", "b", "c"]}) + storage = MemoryPipelineStorage() + pipeline_result = [ + gen + async for gen in run_pipeline( + workflows, + dataset, + storage=storage, + additional_workflows=mock_workflows, + additional_verbs=mock_verbs, + ) + ] + + assert len(pipeline_result) == 1 + assert ( + storage.keys() == ["stats.json", "mock_write", "mock_workflow.parquet"] + ), "Mock workflow output should be written to storage by the emitter when there is a non-empty data frame" + + +async def test_empty_result_does_not_emit_parquet(): + mock_verbs: Any = {"mock_no_return_verb": mock_no_return_verb} + mock_workflows: Any = { + "mock_workflow": lambda _x: [ + { + "verb": "mock_no_return_verb", + "args": { + "column": "test", + }, + } + ] + } + workflows = [ + PipelineWorkflowReference( + name="mock_workflow", + config=None, + ) + ] + dataset = pd.DataFrame({"id": [1, 2, 3], "name": ["a", "b", "c"]}) + storage = MemoryPipelineStorage() + pipeline_result = [ + gen + async for gen in run_pipeline( + workflows, + dataset, + storage=storage, + additional_workflows=mock_workflows, + additional_verbs=mock_verbs, + ) + ] + + assert len(pipeline_result) == 1 + assert storage.keys() == [ + "stats.json", + "empty_write", + ], "Mock workflow output should not be written to storage by the emitter" diff --git a/tests/unit/indexing/workflows/test_load.py b/tests/unit/indexing/workflows/test_load.py index 6d037d51a5..60ae6647b4 100644 --- a/tests/unit/indexing/workflows/test_load.py +++ b/tests/unit/indexing/workflows/test_load.py @@ -4,7 +4,7 @@ import pytest -from graphrag.index.config import PipelineWorkflowReference +from graphrag.index.config.pipeline import PipelineWorkflowReference from graphrag.index.errors import UnknownWorkflowError from graphrag.index.workflows.load import create_workflow, load_workflows diff --git a/examples/custom_set_of_available_workflows/__init__.py b/tests/unit/llm/__init__.py similarity index 100% rename from examples/custom_set_of_available_workflows/__init__.py rename to tests/unit/llm/__init__.py diff --git a/examples/entity_extraction/__init__.py b/tests/unit/llm/base/__init__.py similarity index 100% rename from examples/entity_extraction/__init__.py rename to tests/unit/llm/base/__init__.py diff --git a/tests/unit/llm/base/test_caching_llm.py b/tests/unit/llm/base/test_caching_llm.py new file mode 100644 index 0000000000..28e38f98e6 --- /dev/null +++ b/tests/unit/llm/base/test_caching_llm.py @@ -0,0 +1,73 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +"""Caching LLM Tests.""" + +import asyncio +from typing import Any, cast + +from graphrag.llm import CompletionLLM, LLMOutput +from graphrag.llm.base.caching_llm import CachingLLM +from graphrag.llm.openai.openai_history_tracking_llm import OpenAIHistoryTrackingLLM +from graphrag.llm.types import LLMCache + + +class TestCache(LLMCache): + def __init__(self): + self.cache = {} + + async def has(self, key: str) -> bool: + return key in self.cache + + async def get(self, key: str) -> dict | None: + entry = self.cache.get(key) + return entry["result"] if entry else None + + async def set( + self, key: str, value: str, debug_data: dict[str, Any] | None = None + ) -> None: + self.cache[key] = {"result": value, **(debug_data or {})} + + +async def mock_responder(input: str, **kwargs: dict) -> LLMOutput: + await asyncio.sleep(0.0001) + return LLMOutput(output=f"response to [{input}]") + + +def throwing_responder(input: str, **kwargs: dict) -> LLMOutput: + raise ValueError + + +mock_responder_llm = cast(CompletionLLM, mock_responder) +throwing_llm = cast(CompletionLLM, throwing_responder) + + +async def test_caching_llm() -> None: + """Test a composite LLM.""" + llm = CachingLLM( + mock_responder_llm, llm_parameters={}, operation="test", cache=TestCache() + ) + response = await llm("input 1") + assert response.output == "response to [input 1]" + llm.set_delegate(throwing_llm) + response = await llm("input 1") + assert response.output == "response to [input 1]" + + +async def test_composite_llm() -> None: + """Test a composite LLM.""" + caching = CachingLLM( + mock_responder_llm, llm_parameters={}, operation="test", cache=TestCache() + ) + llm = OpenAIHistoryTrackingLLM(caching) + + response = await llm("input 1") + history: list[dict] = cast(list[dict], response.history) + assert len(history) == 2 + + response = await llm("input 1") + history: list[dict] = cast(list[dict], response.history) + assert len(history) == 2 + + response = await llm("input 2", history=history) + history: list[dict] = cast(list[dict], response.history) + assert len(history) == 4 diff --git a/examples/entity_extraction/with_graph_intelligence/__init__.py b/tests/unit/llm/openai/__init__.py similarity index 100% rename from examples/entity_extraction/with_graph_intelligence/__init__.py rename to tests/unit/llm/openai/__init__.py diff --git a/tests/unit/llm/openai/test_history_tracking_llm.py b/tests/unit/llm/openai/test_history_tracking_llm.py new file mode 100644 index 0000000000..18ae9f5171 --- /dev/null +++ b/tests/unit/llm/openai/test_history_tracking_llm.py @@ -0,0 +1,32 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +"""History-tracking LLM Tests.""" + +import asyncio +from typing import cast + +from graphrag.llm import CompletionLLM, LLMOutput +from graphrag.llm.openai.openai_history_tracking_llm import OpenAIHistoryTrackingLLM + + +async def test_history_tracking_llm() -> None: + async def mock_responder(input: str, **kwargs: dict) -> LLMOutput: + await asyncio.sleep(0.0001) + return LLMOutput(output=f"response to [{input}]") + + delegate = cast(CompletionLLM, mock_responder) + llm = OpenAIHistoryTrackingLLM(delegate) + + response = await llm("input 1") + history: list[dict] = cast(list[dict], response.history) + assert len(history) == 2 + assert history[0] == {"role": "user", "content": "input 1"} + assert history[1] == {"role": "assistant", "content": "response to [input 1]"} + + response = await llm("input 2", history=history) + history: list[dict] = cast(list[dict], response.history) + assert len(history) == 4 + assert history[0] == {"role": "user", "content": "input 1"} + assert history[1] == {"role": "assistant", "content": "response to [input 1]"} + assert history[2] == {"role": "user", "content": "input 2"} + assert history[3] == {"role": "assistant", "content": "response to [input 2]"} diff --git a/examples/entity_extraction/with_nltk/__init__.py b/tests/unit/query/__init__.py similarity index 100% rename from examples/entity_extraction/with_nltk/__init__.py rename to tests/unit/query/__init__.py diff --git a/examples/interdependent_workflows/__init__.py b/tests/unit/query/context_builder/__init__.py similarity index 100% rename from examples/interdependent_workflows/__init__.py rename to tests/unit/query/context_builder/__init__.py diff --git a/tests/unit/query/context_builder/test_entity_extraction.py b/tests/unit/query/context_builder/test_entity_extraction.py new file mode 100644 index 0000000000..b796bd9f33 --- /dev/null +++ b/tests/unit/query/context_builder/test_entity_extraction.py @@ -0,0 +1,187 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +from typing import Any + +from graphrag.model.entity import Entity +from graphrag.model.types import TextEmbedder +from graphrag.query.context_builder.entity_extraction import ( + EntityVectorStoreKey, + map_query_to_entities, +) +from graphrag.query.llm.base import BaseTextEmbedding +from graphrag.vector_stores.base import ( + BaseVectorStore, + VectorStoreDocument, + VectorStoreSearchResult, +) + + +class MockBaseVectorStore(BaseVectorStore): + def __init__(self, documents: list[VectorStoreDocument]) -> None: + super().__init__("mock") + self.documents = documents + + def connect(self, **kwargs: Any) -> None: + raise NotImplementedError + + def load_documents( + self, documents: list[VectorStoreDocument], overwrite: bool = True + ) -> None: + raise NotImplementedError + + def similarity_search_by_vector( + self, query_embedding: list[float], k: int = 10, **kwargs: Any + ) -> list[VectorStoreSearchResult]: + return [ + VectorStoreSearchResult(document=document, score=1) + for document in self.documents[:k] + ] + + def similarity_search_by_text( + self, text: str, text_embedder: TextEmbedder, k: int = 10, **kwargs: Any + ) -> list[VectorStoreSearchResult]: + return sorted( + [ + VectorStoreSearchResult( + document=document, score=abs(len(text) - len(document.text or "")) + ) + for document in self.documents + ], + key=lambda x: x.score, + )[:k] + + def filter_by_id(self, include_ids: list[str] | list[int]) -> Any: + return [document for document in self.documents if document.id in include_ids] + + def search_by_id(self, id: str) -> VectorStoreDocument: + result = self.documents[0] + result.id = id + return result + + +class MockBaseTextEmbedding(BaseTextEmbedding): + def embed(self, text: str, **kwargs: Any) -> list[float]: + return [len(text)] + + async def aembed(self, text: str, **kwargs: Any) -> list[float]: + return [len(text)] + + +def test_map_query_to_entities(): + entities = [ + Entity( + id="2da37c7a-50a8-44d4-aa2c-fd401e19976c", + short_id="sid1", + title="t1", + rank=2, + ), + Entity( + id="c4f93564-4507-4ee4-b102-98add401a965", + short_id="sid2", + title="t22", + rank=4, + ), + Entity( + id="7c6f2bc9-47c9-4453-93a3-d2e174a02cd9", + short_id="sid3", + title="t333", + rank=1, + ), + Entity( + id="8fd6d72a-8e9d-4183-8a97-c38bcc971c83", + short_id="sid4", + title="t4444", + rank=3, + ), + ] + + assert map_query_to_entities( + query="t22", + text_embedding_vectorstore=MockBaseVectorStore([ + VectorStoreDocument(id=entity.id, text=entity.title, vector=None) + for entity in entities + ]), + text_embedder=MockBaseTextEmbedding(), + all_entities_dict={entity.id: entity for entity in entities}, + embedding_vectorstore_key=EntityVectorStoreKey.ID, + k=1, + oversample_scaler=1, + ) == [ + Entity( + id="c4f93564-4507-4ee4-b102-98add401a965", + short_id="sid2", + title="t22", + rank=4, + ) + ] + + assert map_query_to_entities( + query="t22", + text_embedding_vectorstore=MockBaseVectorStore([ + VectorStoreDocument(id=entity.title, text=entity.title, vector=None) + for entity in entities + ]), + text_embedder=MockBaseTextEmbedding(), + all_entities_dict={entity.id: entity for entity in entities}, + embedding_vectorstore_key=EntityVectorStoreKey.TITLE, + k=1, + oversample_scaler=1, + ) == [ + Entity( + id="c4f93564-4507-4ee4-b102-98add401a965", + short_id="sid2", + title="t22", + rank=4, + ) + ] + + assert map_query_to_entities( + query="", + text_embedding_vectorstore=MockBaseVectorStore([ + VectorStoreDocument(id=entity.id, text=entity.title, vector=None) + for entity in entities + ]), + text_embedder=MockBaseTextEmbedding(), + all_entities_dict={entity.id: entity for entity in entities}, + embedding_vectorstore_key=EntityVectorStoreKey.ID, + k=2, + ) == [ + Entity( + id="c4f93564-4507-4ee4-b102-98add401a965", + short_id="sid2", + title="t22", + rank=4, + ), + Entity( + id="8fd6d72a-8e9d-4183-8a97-c38bcc971c83", + short_id="sid4", + title="t4444", + rank=3, + ), + ] + + assert map_query_to_entities( + query="", + text_embedding_vectorstore=MockBaseVectorStore([ + VectorStoreDocument(id=entity.id, text=entity.title, vector=None) + for entity in entities + ]), + text_embedder=MockBaseTextEmbedding(), + all_entities_dict={entity.id: entity for entity in entities}, + embedding_vectorstore_key=EntityVectorStoreKey.TITLE, + k=2, + ) == [ + Entity( + id="c4f93564-4507-4ee4-b102-98add401a965", + short_id="sid2", + title="t22", + rank=4, + ), + Entity( + id="8fd6d72a-8e9d-4183-8a97-c38bcc971c83", + short_id="sid4", + title="t4444", + rank=3, + ), + ] diff --git a/tests/unit/query/data/defaults/output/20240812-120000/empty.txt b/tests/unit/query/data/defaults/output/20240812-120000/empty.txt new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/unit/query/data/defaults/output/20240812-121000/empty.txt b/tests/unit/query/data/defaults/output/20240812-121000/empty.txt new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/unit/query/data/empty/something-else/empty.txt b/tests/unit/query/data/empty/something-else/empty.txt new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/unit/query/data/hidden/output/.another/empty.txt b/tests/unit/query/data/hidden/output/.another/empty.txt new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/unit/query/data/hidden/output/.hidden b/tests/unit/query/data/hidden/output/.hidden new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/unit/query/data/hidden/output/20240812-120000/empty.txt b/tests/unit/query/data/hidden/output/20240812-120000/empty.txt new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/unit/query/data/hidden/output/20240812-121000/empty.txt b/tests/unit/query/data/hidden/output/20240812-121000/empty.txt new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/unit/query/data/non-numeric/output/20240812-120000/empty.txt b/tests/unit/query/data/non-numeric/output/20240812-120000/empty.txt new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/unit/query/data/non-numeric/output/20240812-121000/empty.txt b/tests/unit/query/data/non-numeric/output/20240812-121000/empty.txt new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/unit/query/data/non-numeric/output/something-else/empty.txt b/tests/unit/query/data/non-numeric/output/something-else/empty.txt new file mode 100644 index 0000000000..e69de29bb2 diff --git a/examples/multiple_workflows/__init__.py b/tests/unit/query/input/__init__.py similarity index 100% rename from examples/multiple_workflows/__init__.py rename to tests/unit/query/input/__init__.py diff --git a/examples/various_levels_of_configs/__init__.py b/tests/unit/query/input/retrieval/__init__.py similarity index 100% rename from examples/various_levels_of_configs/__init__.py rename to tests/unit/query/input/retrieval/__init__.py diff --git a/tests/unit/query/input/retrieval/test_entities.py b/tests/unit/query/input/retrieval/test_entities.py new file mode 100644 index 0000000000..f7175882e2 --- /dev/null +++ b/tests/unit/query/input/retrieval/test_entities.py @@ -0,0 +1,167 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +from graphrag.model.entity import Entity +from graphrag.query.input.retrieval.entities import ( + get_entity_by_id, + get_entity_by_key, +) + + +def test_get_entity_by_id(): + assert ( + get_entity_by_id( + { + entity.id: entity + for entity in [ + Entity( + id="2da37c7a-50a8-44d4-aa2c-fd401e19976c", + short_id="sid1", + title="title1", + ), + ] + }, + "00000000-0000-0000-0000-000000000000", + ) + is None + ) + + assert get_entity_by_id( + { + entity.id: entity + for entity in [ + Entity( + id="2da37c7a-50a8-44d4-aa2c-fd401e19976c", + short_id="sid1", + title="title1", + ), + Entity( + id="c4f93564-4507-4ee4-b102-98add401a965", + short_id="sid2", + title="title2", + ), + Entity( + id="7c6f2bc9-47c9-4453-93a3-d2e174a02cd9", + short_id="sid3", + title="title3", + ), + ] + }, + "7c6f2bc9-47c9-4453-93a3-d2e174a02cd9", + ) == Entity( + id="7c6f2bc9-47c9-4453-93a3-d2e174a02cd9", short_id="sid3", title="title3" + ) + + assert get_entity_by_id( + { + entity.id: entity + for entity in [ + Entity( + id="2da37c7a50a844d4aa2cfd401e19976c", + short_id="sid1", + title="title1", + ), + Entity( + id="c4f9356445074ee4b10298add401a965", + short_id="sid2", + title="title2", + ), + Entity( + id="7c6f2bc947c9445393a3d2e174a02cd9", + short_id="sid3", + title="title3", + ), + ] + }, + "7c6f2bc9-47c9-4453-93a3-d2e174a02cd9", + ) == Entity(id="7c6f2bc947c9445393a3d2e174a02cd9", short_id="sid3", title="title3") + + assert get_entity_by_id( + { + entity.id: entity + for entity in [ + Entity(id="id1", short_id="sid1", title="title1"), + Entity(id="id2", short_id="sid2", title="title2"), + Entity(id="id3", short_id="sid3", title="title3"), + ] + }, + "id3", + ) == Entity(id="id3", short_id="sid3", title="title3") + + +def test_get_entity_by_key(): + assert ( + get_entity_by_key( + [ + Entity( + id="2da37c7a-50a8-44d4-aa2c-fd401e19976c", + short_id="sid1", + title="title1", + ), + ], + "id", + "00000000-0000-0000-0000-000000000000", + ) + is None + ) + + assert get_entity_by_key( + [ + Entity( + id="2da37c7a-50a8-44d4-aa2c-fd401e19976c", + short_id="sid1", + title="title1", + ), + Entity( + id="c4f93564-4507-4ee4-b102-98add401a965", + short_id="sid2", + title="title2", + ), + Entity( + id="7c6f2bc9-47c9-4453-93a3-d2e174a02cd9", + short_id="sid3", + title="title3", + ), + ], + "id", + "7c6f2bc9-47c9-4453-93a3-d2e174a02cd9", + ) == Entity( + id="7c6f2bc9-47c9-4453-93a3-d2e174a02cd9", short_id="sid3", title="title3" + ) + + assert get_entity_by_key( + [ + Entity( + id="2da37c7a50a844d4aa2cfd401e19976c", short_id="sid1", title="title1" + ), + Entity( + id="c4f9356445074ee4b10298add401a965", short_id="sid2", title="title2" + ), + Entity( + id="7c6f2bc947c9445393a3d2e174a02cd9", short_id="sid3", title="title3" + ), + ], + "id", + "7c6f2bc9-47c9-4453-93a3-d2e174a02cd9", + ) == Entity(id="7c6f2bc947c9445393a3d2e174a02cd9", short_id="sid3", title="title3") + + assert get_entity_by_key( + [ + Entity(id="id1", short_id="sid1", title="title1"), + Entity(id="id2", short_id="sid2", title="title2"), + Entity(id="id3", short_id="sid3", title="title3"), + ], + "id", + "id3", + ) == Entity(id="id3", short_id="sid3", title="title3") + + assert get_entity_by_key( + [ + Entity(id="id1", short_id="sid1", title="title1", rank=1), + Entity(id="id2", short_id="sid2", title="title2a", rank=2), + Entity(id="id3", short_id="sid3", title="title3", rank=3), + Entity(id="id2", short_id="sid2", title="title2b", rank=2), + ], + "rank", + 2, + ) == Entity(id="id2", short_id="sid2", title="title2a", rank=2) diff --git a/tests/unit/indexing/storage/__init__.py b/tests/unit/utils/__init__.py similarity index 100% rename from tests/unit/indexing/storage/__init__.py rename to tests/unit/utils/__init__.py diff --git a/tests/unit/utils/test_embeddings.py b/tests/unit/utils/test_embeddings.py new file mode 100644 index 0000000000..54a6b79647 --- /dev/null +++ b/tests/unit/utils/test_embeddings.py @@ -0,0 +1,21 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +import pytest + +from graphrag.utils.embeddings import create_collection_name + + +def test_create_collection_name(): + collection = create_collection_name("default", "entity.title") + assert collection == "default-entity-title" + + +def test_create_collection_name_invalid_embedding_throws(): + with pytest.raises(KeyError): + create_collection_name("default", "invalid.name") + + +def test_create_collection_name_invalid_embedding_does_not_throw(): + collection = create_collection_name("default", "invalid.name", validate=False) + assert collection == "default-invalid-name" diff --git a/tests/unit/indexing/verbs/text/__init__.py b/tests/verbs/__init__.py similarity index 100% rename from tests/unit/indexing/verbs/text/__init__.py rename to tests/verbs/__init__.py diff --git a/tests/verbs/data/create_base_entity_graph.parquet b/tests/verbs/data/create_base_entity_graph.parquet new file mode 100644 index 0000000000..528df2943e Binary files /dev/null and b/tests/verbs/data/create_base_entity_graph.parquet differ diff --git a/tests/verbs/data/create_base_text_units.parquet b/tests/verbs/data/create_base_text_units.parquet new file mode 100644 index 0000000000..61b082f6c3 Binary files /dev/null and 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b/tests/verbs/data/create_final_text_units.parquet differ diff --git a/tests/verbs/data/source_documents.parquet b/tests/verbs/data/source_documents.parquet new file mode 100644 index 0000000000..1d78b25919 Binary files /dev/null and b/tests/verbs/data/source_documents.parquet differ diff --git a/tests/verbs/test_create_base_entity_graph.py b/tests/verbs/test_create_base_entity_graph.py new file mode 100644 index 0000000000..46e9e23b4e --- /dev/null +++ b/tests/verbs/test_create_base_entity_graph.py @@ -0,0 +1,197 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +import networkx as nx +import pytest + +from graphrag.config.enums import LLMType +from graphrag.index.run.utils import create_run_context +from graphrag.index.workflows.v1.create_base_entity_graph import ( + build_steps, + workflow_name, +) + +from .util import ( + get_config_for_workflow, + get_workflow_output, + load_expected, + load_input_tables, +) + +MOCK_LLM_ENTITY_RESPONSES = [ + """ + ("entity"<|>COMPANY_A<|>COMPANY<|>Company_A is a test company) + ## + ("entity"<|>COMPANY_B<|>COMPANY<|>Company_B owns Company_A and also shares an address with Company_A) + ## + ("entity"<|>PERSON_C<|>PERSON<|>Person_C is director of Company_A) + ## + ("relationship"<|>COMPANY_A<|>COMPANY_B<|>Company_A and Company_B are related because Company_A is 100% owned by Company_B and the two companies also share the same address)<|>2) + ## + ("relationship"<|>COMPANY_A<|>PERSON_C<|>Company_A and Person_C are related because Person_C is director of Company_A<|>1)) + """.strip() +] + +MOCK_LLM_ENTITY_CONFIG = { + "type": LLMType.StaticResponse, + "responses": MOCK_LLM_ENTITY_RESPONSES, +} + +MOCK_LLM_SUMMARIZATION_RESPONSES = [ + """ + This is a MOCK response for the LLM. It is summarized! + """.strip() +] + +MOCK_LLM_SUMMARIZATION_CONFIG = { + "type": LLMType.StaticResponse, + "responses": MOCK_LLM_SUMMARIZATION_RESPONSES, +} + + +async def test_create_base_entity_graph(): + input_tables = load_input_tables([ + "workflow:create_base_text_units", + ]) + expected = load_expected(workflow_name) + + context = create_run_context(None, None, None) + await context.runtime_storage.set( + "base_text_units", input_tables["workflow:create_base_text_units"] + ) + + config = get_config_for_workflow(workflow_name) + config["entity_extract"]["strategy"]["llm"] = MOCK_LLM_ENTITY_CONFIG + config["summarize_descriptions"]["strategy"]["llm"] = MOCK_LLM_SUMMARIZATION_CONFIG + + steps = build_steps(config) + + await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context=context, + ) + + actual = await context.runtime_storage.get("base_entity_graph") + + assert len(actual.columns) == len( + expected.columns + ), "Graph dataframe columns differ" + # let's parse a sample of the raw graphml + actual_graphml_0 = actual["clustered_graph"][:1][0] + actual_graph_0 = nx.parse_graphml(actual_graphml_0) + + assert actual_graph_0.number_of_nodes() == 3 + assert actual_graph_0.number_of_edges() == 2 + + # TODO: with the combined verb we can't force summarization + # this is because the mock responses always result in a single description, which is returned verbatim rather than summarized + # we need to update the mocking to provide somewhat unique graphs so a true merge happens + # the assertion should grab a node and ensure the description matches the mock description, not the original as we are doing below + nodes = list(actual_graph_0.nodes(data=True)) + assert nodes[0][1]["description"] == "Company_A is a test company" + + assert len(context.storage.keys()) == 0, "Storage should be empty" + + +async def test_create_base_entity_graph_with_embeddings(): + input_tables = load_input_tables([ + "workflow:create_base_text_units", + ]) + expected = load_expected(workflow_name) + + context = create_run_context(None, None, None) + await context.runtime_storage.set( + "base_text_units", input_tables["workflow:create_base_text_units"] + ) + + config = get_config_for_workflow(workflow_name) + + config["entity_extract"]["strategy"]["llm"] = MOCK_LLM_ENTITY_CONFIG + config["summarize_descriptions"]["strategy"]["llm"] = MOCK_LLM_SUMMARIZATION_CONFIG + config["embed_graph_enabled"] = True + + steps = build_steps(config) + + await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context=context, + ) + + actual = await context.runtime_storage.get("base_entity_graph") + + assert ( + len(actual.columns) == len(expected.columns) + 1 + ), "Graph dataframe missing embedding column" + assert "embeddings" in actual.columns, "Graph dataframe missing embedding column" + + +async def test_create_base_entity_graph_with_snapshots(): + input_tables = load_input_tables([ + "workflow:create_base_text_units", + ]) + + context = create_run_context(None, None, None) + await context.runtime_storage.set( + "base_text_units", input_tables["workflow:create_base_text_units"] + ) + + config = get_config_for_workflow(workflow_name) + + config["entity_extract"]["strategy"]["llm"] = MOCK_LLM_ENTITY_CONFIG + config["summarize_descriptions"]["strategy"]["llm"] = MOCK_LLM_SUMMARIZATION_CONFIG + config["snapshot_raw_entities"] = True + config["snapshot_graphml"] = True + config["snapshot_transient"] = True + config["embed_graph_enabled"] = True # need this on in order to see the snapshot + + steps = build_steps(config) + + await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context=context, + ) + + assert context.storage.keys() == [ + "raw_extracted_entities.json", + "merged_graph.graphml", + "summarized_graph.graphml", + "clustered_graph.graphml", + "embedded_graph.graphml", + "create_base_entity_graph.parquet", + ], "Graph snapshot keys differ" + + +async def test_create_base_entity_graph_missing_llm_throws(): + input_tables = load_input_tables([ + "workflow:create_base_text_units", + ]) + + context = create_run_context(None, None, None) + await context.runtime_storage.set( + "base_text_units", input_tables["workflow:create_base_text_units"] + ) + + config = get_config_for_workflow(workflow_name) + + config["entity_extract"]["strategy"]["llm"] = MOCK_LLM_ENTITY_CONFIG + del config["summarize_descriptions"]["strategy"]["llm"] + + steps = build_steps(config) + + with pytest.raises(ValueError): # noqa PT011 + await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context=context, + ) diff --git a/tests/verbs/test_create_base_text_units.py b/tests/verbs/test_create_base_text_units.py new file mode 100644 index 0000000000..4a66dc4c77 --- /dev/null +++ b/tests/verbs/test_create_base_text_units.py @@ -0,0 +1,65 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +from graphrag.index.run.utils import create_run_context +from graphrag.index.workflows.v1.create_base_text_units import ( + build_steps, + workflow_name, +) + +from .util import ( + compare_outputs, + get_config_for_workflow, + get_workflow_output, + load_expected, + load_input_tables, +) + + +async def test_create_base_text_units(): + input_tables = load_input_tables(inputs=[]) + expected = load_expected(workflow_name) + + context = create_run_context(None, None, None) + + config = get_config_for_workflow(workflow_name) + # test data was created with 4o, so we need to match the encoding for chunks to be identical + config["text_chunk"]["strategy"]["encoding_name"] = "o200k_base" + + steps = build_steps(config) + + await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context, + ) + + actual = await context.runtime_storage.get("base_text_units") + compare_outputs(actual, expected) + + +async def test_create_base_text_units_with_snapshot(): + input_tables = load_input_tables(inputs=[]) + + context = create_run_context(None, None, None) + + config = get_config_for_workflow(workflow_name) + # test data was created with 4o, so we need to match the encoding for chunks to be identical + config["text_chunk"]["strategy"]["encoding_name"] = "o200k_base" + config["snapshot_transient"] = True + + steps = build_steps(config) + + await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context, + ) + + assert context.storage.keys() == [ + "create_base_text_units.parquet" + ], "Text unit snapshot keys differ" diff --git a/tests/verbs/test_create_final_communities.py b/tests/verbs/test_create_final_communities.py new file mode 100644 index 0000000000..9f002f7c1d --- /dev/null +++ b/tests/verbs/test_create_final_communities.py @@ -0,0 +1,49 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +from graphrag.index.run.utils import create_run_context +from graphrag.index.workflows.v1.create_final_communities import ( + build_steps, + workflow_name, +) + +from .util import ( + compare_outputs, + get_workflow_output, + load_expected, + load_input_tables, +) + + +async def test_create_final_communities(): + input_tables = load_input_tables([ + "workflow:create_base_entity_graph", + ]) + expected = load_expected(workflow_name) + + context = create_run_context(None, None, None) + await context.runtime_storage.set( + "base_entity_graph", input_tables["workflow:create_base_entity_graph"] + ) + + steps = build_steps({}) + + actual = await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context=context, + ) + + # ignore the period and id columns, because they recalculated every time + assert "period" in expected.columns + assert "id" in expected.columns + columns = list(expected.columns.values) + columns.remove("period") + columns.remove("id") + compare_outputs( + actual, + expected, + columns=columns, + ) diff --git a/tests/verbs/test_create_final_community_reports.py b/tests/verbs/test_create_final_community_reports.py new file mode 100644 index 0000000000..b799bffbfb --- /dev/null +++ b/tests/verbs/test_create_final_community_reports.py @@ -0,0 +1,100 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +import json + +import pytest +from datashaper.errors import VerbParallelizationError + +from graphrag.config.enums import LLMType +from graphrag.index.workflows.v1.create_final_community_reports import ( + build_steps, + workflow_name, +) + +from .util import ( + compare_outputs, + get_config_for_workflow, + get_workflow_output, + load_expected, + load_input_tables, +) + +MOCK_RESPONSES = [ + json.dumps({ + "title": "", + "summary": "", + "rating": 2, + "rating_explanation": "", + "findings": [ + { + "summary": "", + "explanation": "", + "explanation": "" + + +async def test_create_final_community_reports_missing_llm_throws(): + input_tables = load_input_tables([ + "workflow:create_final_nodes", + "workflow:create_final_covariates", + "workflow:create_final_relationships", + "workflow:create_final_entities", + "workflow:create_final_communities", + ]) + + config = get_config_for_workflow(workflow_name) + + # deleting the llm config results in a default mock injection in run_graph_intelligence + del config["create_community_reports"]["strategy"]["llm"] + + steps = build_steps(config) + + with pytest.raises(VerbParallelizationError): + await get_workflow_output( + input_tables, + { + "steps": steps, + }, + ) diff --git a/tests/verbs/test_create_final_covariates.py b/tests/verbs/test_create_final_covariates.py new file mode 100644 index 0000000000..23a02bca67 --- /dev/null +++ b/tests/verbs/test_create_final_covariates.py @@ -0,0 +1,106 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +import pytest +from datashaper.errors import VerbParallelizationError +from pandas.testing import assert_series_equal + +from graphrag.config.enums import LLMType +from graphrag.index.run.utils import create_run_context +from graphrag.index.workflows.v1.create_final_covariates import ( + build_steps, + workflow_name, +) + +from .util import ( + get_config_for_workflow, + get_workflow_output, + load_expected, + load_input_tables, +) + +MOCK_LLM_RESPONSES = [ + """ +(COMPANY A<|>GOVERNMENT AGENCY B<|>ANTI-COMPETITIVE PRACTICES<|>TRUE<|>2022-01-10T00:00:00<|>2022-01-10T00:00:00<|>Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10<|>According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.) + """.strip() +] + +MOCK_LLM_CONFIG = {"type": LLMType.StaticResponse, "responses": MOCK_LLM_RESPONSES} + + +async def test_create_final_covariates(): + input_tables = load_input_tables(["workflow:create_base_text_units"]) + expected = load_expected(workflow_name) + + context = create_run_context(None, None, None) + await context.runtime_storage.set( + "base_text_units", input_tables["workflow:create_base_text_units"] + ) + + config = get_config_for_workflow(workflow_name) + + config["claim_extract"]["strategy"]["llm"] = MOCK_LLM_CONFIG + + steps = build_steps(config) + + actual = await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context, + ) + + input = input_tables["workflow:create_base_text_units"] + + assert len(actual.columns) == len(expected.columns) + # our mock only returns one covariate per text unit, so that's a 1:1 mapping versus the LLM-extracted content in the test data + assert len(actual) == len(input) + + # assert all of the columns that covariates copied from the input + assert_series_equal(actual["text_unit_id"], input["id"], check_names=False) + + # make sure the human ids are incrementing + assert actual["human_readable_id"][0] == 1 + assert actual["human_readable_id"][1] == 2 + + # check that the mock data is parsed and inserted into the correct columns + assert actual["covariate_type"][0] == "claim" + assert actual["subject_id"][0] == "COMPANY A" + assert actual["object_id"][0] == "GOVERNMENT AGENCY B" + assert actual["type"][0] == "ANTI-COMPETITIVE PRACTICES" + assert actual["status"][0] == "TRUE" + assert actual["start_date"][0] == "2022-01-10T00:00:00" + assert actual["end_date"][0] == "2022-01-10T00:00:00" + assert ( + actual["description"][0] + == "Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10" + ) + assert ( + actual["source_text"][0] + == "According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B." + ) + + +async def test_create_final_covariates_missing_llm_throws(): + input_tables = load_input_tables(["workflow:create_base_text_units"]) + + context = create_run_context(None, None, None) + await context.runtime_storage.set( + "base_text_units", input_tables["workflow:create_base_text_units"] + ) + + config = get_config_for_workflow(workflow_name) + + del config["claim_extract"]["strategy"]["llm"] + + steps = build_steps(config) + + with pytest.raises(VerbParallelizationError): + await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context, + ) diff --git a/tests/verbs/test_create_final_documents.py b/tests/verbs/test_create_final_documents.py new file mode 100644 index 0000000000..eb84c90b22 --- /dev/null +++ b/tests/verbs/test_create_final_documents.py @@ -0,0 +1,76 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +from graphrag.index.run.utils import create_run_context +from graphrag.index.workflows.v1.create_final_documents import ( + build_steps, + workflow_name, +) + +from .util import ( + compare_outputs, + get_config_for_workflow, + get_workflow_output, + load_expected, + load_input_tables, +) + + +async def test_create_final_documents(): + input_tables = load_input_tables([ + "workflow:create_base_text_units", + ]) + expected = load_expected(workflow_name) + + context = create_run_context(None, None, None) + await context.runtime_storage.set( + "base_text_units", input_tables["workflow:create_base_text_units"] + ) + + config = get_config_for_workflow(workflow_name) + + steps = build_steps(config) + + actual = await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context=context, + ) + + compare_outputs(actual, expected) + + +async def test_create_final_documents_with_attribute_columns(): + input_tables = load_input_tables(["workflow:create_base_text_units"]) + expected = load_expected(workflow_name) + + context = create_run_context(None, None, None) + await context.runtime_storage.set( + "base_text_units", input_tables["workflow:create_base_text_units"] + ) + + config = get_config_for_workflow(workflow_name) + + config["document_attribute_columns"] = ["title"] + + steps = build_steps(config) + + actual = await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context=context, + ) + + # we should have dropped "title" and added "attributes" + # our test dataframe does not have attributes, so we'll assert without it + # and separately confirm it is in the output + compare_outputs( + actual, expected, columns=["id", "human_readable_id", "text", "text_unit_ids"] + ) + assert len(actual.columns) == 5 + assert "title" not in actual.columns + assert "attributes" in actual.columns diff --git a/tests/verbs/test_create_final_entities.py b/tests/verbs/test_create_final_entities.py new file mode 100644 index 0000000000..b98848aa53 --- /dev/null +++ b/tests/verbs/test_create_final_entities.py @@ -0,0 +1,43 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +from graphrag.index.run.utils import create_run_context +from graphrag.index.workflows.v1.create_final_entities import ( + build_steps, + workflow_name, +) + +from .util import ( + compare_outputs, + get_config_for_workflow, + get_workflow_output, + load_expected, + load_input_tables, +) + + +async def test_create_final_entities(): + input_tables = load_input_tables([ + "workflow:create_base_entity_graph", + ]) + expected = load_expected(workflow_name) + + context = create_run_context(None, None, None) + await context.runtime_storage.set( + "base_entity_graph", input_tables["workflow:create_base_entity_graph"] + ) + + config = get_config_for_workflow(workflow_name) + + steps = build_steps(config) + + actual = await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context=context, + ) + + compare_outputs(actual, expected) + assert len(actual.columns) == len(expected.columns) diff --git a/tests/verbs/test_create_final_nodes.py b/tests/verbs/test_create_final_nodes.py new file mode 100644 index 0000000000..9d9430f45a --- /dev/null +++ b/tests/verbs/test_create_final_nodes.py @@ -0,0 +1,83 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +from graphrag.index.run.utils import create_run_context +from graphrag.index.workflows.v1.create_final_nodes import ( + build_steps, + workflow_name, +) + +from .util import ( + compare_outputs, + get_config_for_workflow, + get_workflow_output, + load_expected, + load_input_tables, +) + + +async def test_create_final_nodes(): + input_tables = load_input_tables([ + "workflow:create_base_entity_graph", + ]) + expected = load_expected(workflow_name) + + context = create_run_context(None, None, None) + await context.runtime_storage.set( + "base_entity_graph", input_tables["workflow:create_base_entity_graph"] + ) + + config = get_config_for_workflow(workflow_name) + + # default config turns UMAP off, which translates into false for layout + # we don't have graph embeddings in the test data, so this will fail if True + config["layout_graph_enabled"] = False + + steps = build_steps(config) + + actual = await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context=context, + ) + + compare_outputs(actual, expected) + + assert len(context.storage.keys()) == 0, "Storage should be empty" + + +async def test_create_final_nodes_with_snapshot(): + input_tables = load_input_tables([ + "workflow:create_base_entity_graph", + ]) + expected = load_expected(workflow_name) + + context = create_run_context(None, None, None) + await context.runtime_storage.set( + "base_entity_graph", input_tables["workflow:create_base_entity_graph"] + ) + + config = get_config_for_workflow(workflow_name) + + # default config turns UMAP off, which translates into false for layout + # we don't have graph embeddings in the test data, so this will fail if True + config["layout_graph_enabled"] = False + config["snapshot_top_level_nodes"] = True + + steps = build_steps(config) + + actual = await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context=context, + ) + + assert actual.shape == expected.shape, "Graph dataframe shapes differ" + + assert context.storage.keys() == [ + "top_level_nodes.json", + ], "Graph snapshot keys differ" diff --git a/tests/verbs/test_create_final_relationships.py b/tests/verbs/test_create_final_relationships.py new file mode 100644 index 0000000000..172a953b51 --- /dev/null +++ b/tests/verbs/test_create_final_relationships.py @@ -0,0 +1,43 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +from graphrag.index.run.utils import create_run_context +from graphrag.index.workflows.v1.create_final_relationships import ( + build_steps, + workflow_name, +) + +from .util import ( + compare_outputs, + get_config_for_workflow, + get_workflow_output, + load_expected, + load_input_tables, +) + + +async def test_create_final_relationships(): + input_tables = load_input_tables([ + "workflow:create_base_entity_graph", + "workflow:create_final_nodes", + ]) + expected = load_expected(workflow_name) + + context = create_run_context(None, None, None) + await context.runtime_storage.set( + "base_entity_graph", input_tables["workflow:create_base_entity_graph"] + ) + + config = get_config_for_workflow(workflow_name) + + steps = build_steps(config) + + actual = await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context=context, + ) + + compare_outputs(actual, expected) diff --git a/tests/verbs/test_create_final_text_units.py b/tests/verbs/test_create_final_text_units.py new file mode 100644 index 0000000000..c167ec7b29 --- /dev/null +++ b/tests/verbs/test_create_final_text_units.py @@ -0,0 +1,85 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +from graphrag.index.run.utils import create_run_context +from graphrag.index.workflows.v1.create_final_text_units import ( + build_steps, + workflow_name, +) + +from .util import ( + compare_outputs, + get_config_for_workflow, + get_workflow_output, + load_expected, + load_input_tables, +) + + +async def test_create_final_text_units(): + input_tables = load_input_tables([ + "workflow:create_base_text_units", + "workflow:create_final_entities", + "workflow:create_final_relationships", + "workflow:create_final_covariates", + ]) + expected = load_expected(workflow_name) + + context = create_run_context(None, None, None) + await context.runtime_storage.set( + "base_text_units", input_tables["workflow:create_base_text_units"] + ) + + config = get_config_for_workflow(workflow_name) + + config["covariates_enabled"] = True + + steps = build_steps(config) + + actual = await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context=context, + ) + + compare_outputs(actual, expected) + + +async def test_create_final_text_units_no_covariates(): + input_tables = load_input_tables([ + "workflow:create_base_text_units", + "workflow:create_final_entities", + "workflow:create_final_relationships", + "workflow:create_final_covariates", + ]) + expected = load_expected(workflow_name) + + context = create_run_context(None, None, None) + await context.runtime_storage.set( + "base_text_units", input_tables["workflow:create_base_text_units"] + ) + + config = get_config_for_workflow(workflow_name) + + config["covariates_enabled"] = False + + steps = build_steps(config) + + actual = await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context=context, + ) + + # we're short a covariate_ids column + columns = list(expected.columns.values) + columns.remove("covariate_ids") + compare_outputs( + actual, + expected, + columns=columns, + ) diff --git a/tests/verbs/test_generate_text_embeddings.py b/tests/verbs/test_generate_text_embeddings.py new file mode 100644 index 0000000000..c0919501d8 --- /dev/null +++ b/tests/verbs/test_generate_text_embeddings.py @@ -0,0 +1,78 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +from io import BytesIO + +import pandas as pd + +from graphrag.index.config.embeddings import ( + all_embeddings, +) +from graphrag.index.run.utils import create_run_context +from graphrag.index.workflows.v1.generate_text_embeddings import ( + build_steps, + workflow_name, +) + +from .util import ( + get_config_for_workflow, + get_workflow_output, + load_input_tables, +) + + +async def test_generate_text_embeddings(): + input_tables = load_input_tables( + inputs=[ + "workflow:create_final_documents", + "workflow:create_final_relationships", + "workflow:create_final_text_units", + "workflow:create_final_entities", + "workflow:create_final_community_reports", + ] + ) + context = create_run_context(None, None, None) + + config = get_config_for_workflow(workflow_name) + + config["text_embed"]["strategy"]["type"] = "mock" + config["snapshot_embeddings"] = True + + config["embedded_fields"] = all_embeddings + + steps = build_steps(config) + + await get_workflow_output( + input_tables, + { + "steps": steps, + }, + context, + ) + + parquet_files = context.storage.keys() + + for field in all_embeddings: + assert f"embeddings.{field}.parquet" in parquet_files + + # entity description should always be here, let's assert its format + entity_description_embeddings_buffer = BytesIO( + await context.storage.get( + "embeddings.entity.description.parquet", as_bytes=True + ) + ) + entity_description_embeddings = pd.read_parquet( + entity_description_embeddings_buffer + ) + assert len(entity_description_embeddings.columns) == 2 + assert "id" in entity_description_embeddings.columns + assert "embedding" in entity_description_embeddings.columns + + # every other embedding is optional but we've turned them all on, so check a random one + document_text_embeddings_buffer = BytesIO( + await context.storage.get("embeddings.document.text.parquet", as_bytes=True) + ) + document_text_embeddings = pd.read_parquet(document_text_embeddings_buffer) + assert len(document_text_embeddings.columns) == 2 + assert "id" in document_text_embeddings.columns + assert "embedding" in document_text_embeddings.columns diff --git a/tests/verbs/util.py b/tests/verbs/util.py new file mode 100644 index 0000000000..6ce7b478dc --- /dev/null +++ b/tests/verbs/util.py @@ -0,0 +1,99 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +from typing import cast + +import pandas as pd +from datashaper import Workflow +from pandas.testing import assert_series_equal + +from graphrag.config.create_graphrag_config import create_graphrag_config +from graphrag.index.config.workflow import PipelineWorkflowConfig +from graphrag.index.context import PipelineRunContext +from graphrag.index.create_pipeline_config import create_pipeline_config +from graphrag.index.run.utils import create_run_context + +pd.set_option("display.max_columns", None) + + +def load_input_tables(inputs: list[str]) -> dict[str, pd.DataFrame]: + """Harvest all the referenced input IDs from the workflow being tested and pass them here.""" + # stick all the inputs in a map - Workflow looks them up by name + input_tables: dict[str, pd.DataFrame] = {} + + source = pd.read_parquet("tests/verbs/data/source_documents.parquet") + input_tables["source"] = source + + for input in inputs: + # remove the workflow: prefix if it exists, because that is not part of the actual table filename + name = input.replace("workflow:", "") + input_tables[input] = pd.read_parquet(f"tests/verbs/data/{name}.parquet") + + return input_tables + + +def load_expected(output: str) -> pd.DataFrame: + """Pass in the workflow output (generally the workflow name)""" + return pd.read_parquet(f"tests/verbs/data/{output}.parquet") + + +def get_config_for_workflow(name: str) -> PipelineWorkflowConfig: + """Instantiates the bare minimum config to get a default workflow config for testing.""" + config = create_graphrag_config() + + # this flag needs to be set before creating the pipeline config, or the entire covariate workflow will be excluded + config.claim_extraction.enabled = True + + pipeline_config = create_pipeline_config(config) + + result = next(conf for conf in pipeline_config.workflows if conf.name == name) + + return cast(PipelineWorkflowConfig, result.config) + + +async def get_workflow_output( + input_tables: dict[str, pd.DataFrame], + schema: dict, + context: PipelineRunContext | None = None, +) -> pd.DataFrame: + """Pass in the input tables, the schema, and the output name""" + + # the bare minimum workflow is the pipeline schema and table context + workflow = Workflow( + schema=schema, + input_tables=input_tables, + ) + + run_context = context or create_run_context(None, None, None) + + await workflow.run(context=run_context) + + # if there's only one output, it is the default here, no name required + return cast(pd.DataFrame, workflow.output()) + + +def compare_outputs( + actual: pd.DataFrame, expected: pd.DataFrame, columns: list[str] | None = None +) -> None: + """Compare the actual and expected dataframes, optionally specifying columns to compare. + This uses assert_series_equal since we are sometimes intentionally omitting columns from the actual output. + """ + cols = expected.columns if columns is None else columns + + assert len(actual) == len( + expected + ), f"Expected: {len(expected)} rows, Actual: {len(actual)} rows" + + for column in cols: + assert column in actual.columns + try: + # dtypes can differ since the test data is read from parquet and our workflow runs in memory + assert_series_equal( + actual[column], expected[column], check_dtype=False, check_index=False + ) + except AssertionError: + print("Expected:") + print(expected[column]) + print("Actual:") + print(actual[column]) + raise diff --git a/v1-breaking-changes.md b/v1-breaking-changes.md new file mode 100644 index 0000000000..a2ec67a5c7 --- /dev/null +++ b/v1-breaking-changes.md @@ -0,0 +1,57 @@ +# Config Breaking Changes + +## New required Embeddings + +### Change + +- Added new required embeddings for `DRIFTSearch` and base RAG capabilities. + +### Migration + +- Run a new index, leveraging existing cache. + +## Vector Store required by default + +### Change + +- Vector store is now required by default for all search methods. + +### Migration + +- Run graphrag init command to generate a new settings.yaml file with the vector store configuration. +- Run a new index, leveraging existing cache. + +## Deprecate timestamp paths + +### Change + +- Remove support for timestamp paths, those using `${timestamp}` directory nesting. +- Use the same directory for storage output and reporting output. + +### Migration + +- Ensure output directories no longer use `${timestamp}` directory nesting. + +**Using Environment Variables** + +- Ensure `GRAPHRAG_STORAGE_BASE_DIR` is set to a static directory, e.g., `output` instead of `output/${timestamp}/artifacts`. +- Ensure `GRAPHRAG_REPORTING_BASE_DIR` is set to a static directory, e.g., `output` instead of `output/${timestamp}/reports` + +[Full docs on using environment variables for configuration](https://microsoft.github.io/graphrag/config/env_vars/). + +**Using Configuration File** + +```yaml +# rest of settings.yaml file +# ... + +storage: + type: file + base_dir: "output" # changed from "output/${timestamp}/artifacts" + +reporting: + type: file + base_dir: "output" # changed from "output/${timestamp}/reports" +``` + +[Full docs on using YAML files for configuration](https://microsoft.github.io/graphrag/config/yaml/).