diff --git a/.github/workflows/integration-tests-docker.yml b/.github/workflows/integration-tests-docker.yml index eb0bbbb40..490f966d4 100644 --- a/.github/workflows/integration-tests-docker.yml +++ b/.github/workflows/integration-tests-docker.yml @@ -30,22 +30,39 @@ jobs: integration-tests-docker: runs-on: ubuntu-latest - timeout-minutes: 40 + timeout-minutes: 100 steps: - - name: Checkout code + - name: Checkout Code (Workflow_Dispatch) + if: github.event_name == 'workflow_dispatch' uses: actions/checkout@v3 with: ref: ${{ inputs.branch_to_test }} - sparse-checkout: | - setup-aiverify - - name: Build aiverify docker image + - name: Checkout Code (Pull_Request_Review) + if: github.event_name == 'pull_request_review' + uses: actions/checkout@v3 + with: + ref: ${{ github.event.pull_request.head.ref }} + repository: ${{ github.event.pull_request.head.repo.full_name }} + submodules: recursive + + - name: Build AI Verify Docker Image (Workflow_Dispatch) + if: github.event_name == 'workflow_dispatch' + working-directory: ${{ github.workspace }}/setup-aiverify + run: | + cd aiverify-user + echo ${{ inputs.branch_to_test }} + bash docker-build.sh --build-arg=BRANCH_TAG=${{ inputs.branch_to_test }} + + - name: Build AI Verify Docker Image (Pull_Request_Review) + if: github.event_name == 'pull_request_review' working-directory: ${{ github.workspace }}/setup-aiverify run: | cd aiverify-user - bash docker-build.sh --build-arg=BRANCH_TAG=${{ inputs.branch_to_test }} --build-arg=ALLOWED_ORIGINS="http://localhost:3000,http://localhost:4000,http://127.0.0.1:3000,http://127.0.0.1:4000,http://127.0.0.1:27017" + echo ${{ inputs.branch_to_test }} + bash docker-build.sh --build-arg=BRANCH_TAG=${{ github.event.pull_request.head.ref }} - name: Run aiverify containers working-directory: ${{ github.workspace }}/setup-aiverify @@ -72,63 +89,61 @@ jobs: docker-compose up -d fi - # - name: Checkout API Mock Server - # uses: actions/checkout@v3 - # with: - # repository: IMDA-BTG/api-model-server - # token: ${{ secrets.CHECKOUT_TOKEN }} - # ref: main - # path: qa-test/api-model-server - - # - name: Checkout smoke tests - # uses: actions/checkout@v3 - # with: - # repository: IMDA-BTG/smoke-testing - # token: ${{ secrets.CHECKOUT_TOKEN }} - # ref: main - # path: qa-test/smoke-testing + - name: Checkout API Mock Server + uses: actions/checkout@v3 + with: + repository: IMDA-BTG/api-model-server + ref: main + path: qa-test/api-model-server + + - name: Checkout smoke tests + uses: actions/checkout@v3 + with: + repository: IMDA-BTG/smoke-testing + ref: main + path: qa-test/smoke-testing + submodules: recursive - name: Checkout frontend tests uses: actions/checkout@v3 with: repository: IMDA-BTG/frontend-testing - token: ${{ secrets.CHECKOUT_TOKEN }} ref: main path: qa-test/frontend-testing + submodules: recursive - # - name: Checkout backend tests - # uses: actions/checkout@v3 - # with: - # repository: IMDA-BTG/backend-testing - # token: ${{ secrets.CHECKOUT_TOKEN }} - # ref: main - # path: qa-test/backend-testing - # submodules: recursive + - name: Checkout backend tests + uses: actions/checkout@v3 + with: + repository: IMDA-BTG/backend-testing + ref: main + path: qa-test/backend-testing + submodules: recursive - # - name: Run API Mock Server - # if: ${{ ! cancelled() }} - # run: | - # cd qa-test/api-model-server - # python3 -m venv venv - # source venv/bin/activate - # pip3 install -r requirements.txt - # bash regression_run_https.sh && fg & - # bash classification_run_https.sh & - - # - name: Run smoke tests - # if: ${{ ! cancelled() }} - # run: | - # cd qa-test/smoke-testing - # npm install - # npx playwright install - # ENVIRONMENT_URL=$ENVIRONMENT_URL npx playwright test + - name: Run API Mock Server + if: ${{ ! cancelled() }} + run: | + cd qa-test/api-model-server + python3 -m venv venv + source venv/bin/activate + pip3 install -r requirements.txt + bash regression_run_https.sh && fg & + bash classification_run_https.sh & + + - name: Run smoke tests + if: ${{ ! cancelled() }} + run: | + cd qa-test/smoke-testing + npm install + npx playwright install + ENVIRONMENT_URL=https://host.docker.internal npx playwright test - name: Run frontend tests if: ${{ ! cancelled() }} run: | cd qa-test/frontend-testing npm install - npx playwright test + ENVIRONMENT_URL=https://host.docker.internal npx playwright test # - name: Run backend tests # if: ${{ ! cancelled() }} diff --git a/.github/workflows/integration-tests.yml b/.github/workflows/integration-tests.yml index 2f633a54e..81a9aea1c 100644 --- a/.github/workflows/integration-tests.yml +++ b/.github/workflows/integration-tests.yml @@ -59,14 +59,14 @@ jobs: admin = db.getSiblingDB('admin') admin.createUser({ user: 'mongodb', - pwd: 'mongodb', + pwd: 't1oj5L_xQI8dTrVuZ', roles: [{ role: 'root', db: 'admin' }], }); aiverify = db.getSiblingDB('aiverify') aiverify.createUser({ user: 'aiverify', - pwd: 'aiverify', + pwd: 't1oj5L_xQI8dTrVuZ', roles: [{ role: 'readWrite', db: 'aiverify' }], }); @@ -169,7 +169,7 @@ jobs: DB_HOST=127.0.0.1 DB_PORT=27017 DB_USERNAME=aiverify - DB_PASSWORD=aiverify + DB_PASSWORD=t1oj5L_xQI8dTrVuZ ALLOWED_ORIGINS=http://127.0.0.1:3000,http://127.0.0.1:3001,http://127.0.0.1:4000" > .env node app.mjs &> apigw.log & @@ -181,7 +181,6 @@ jobs: uses: actions/checkout@v3 with: repository: IMDA-BTG/api-model-server - token: ${{ secrets.CHECKOUT_TOKEN }} ref: main path: qa-test/api-model-server @@ -198,7 +197,6 @@ jobs: uses: actions/checkout@v3 with: repository: IMDA-BTG/frontend-testing - token: ${{ secrets.CHECKOUT_TOKEN }} ref: main path: qa-test/frontend-testing @@ -206,7 +204,6 @@ jobs: uses: actions/checkout@v3 with: repository: IMDA-BTG/backend-testing - token: ${{ secrets.CHECKOUT_TOKEN }} ref: main path: qa-test/backend-testing submodules: recursive @@ -234,7 +231,7 @@ jobs: run: | cd qa-test/frontend-testing npm install - npx playwright test + ENVIRONMENT_URL=https://127.0.0.1 npx playwright test - name: Run backend tests if: ${{ ! cancelled() }} diff --git a/.github/workflows/sca-scan.yml b/.github/workflows/sca-scan.yml new file mode 100644 index 000000000..b5c284afd --- /dev/null +++ b/.github/workflows/sca-scan.yml @@ -0,0 +1,98 @@ +# SCA Scan + +name: Software Composition Analysis + +on: + # Runs when a pull request review is being submitted + pull_request_review: + types: [submitted] + branches: + - 'main' + - 'v0.*' + + # Run this workflow manually from Actions tab + workflow_dispatch: + inputs: + branch_to_test: + description: 'Branch or tag to run test' + required: true + default: 'main' + type: string + +# Allow one concurrent deployment +concurrency: + group: ${{ github.repository }}-${{ github.workflow }} + cancel-in-progress: true + +jobs: + software-composition-analysis: + + runs-on: ubuntu-latest + timeout-minutes: 10 + + steps: + + - name: Checkout Code (Pull_Request_Review) + if: github.event_name == 'pull_request_review' + uses: actions/checkout@v3 + with: + ref: ${{ github.event.pull_request.head.ref }} + repository: ${{ github.event.pull_request.head.repo.full_name }} + submodules: recursive + + - name: Install & Scan APIGW + run: | + cd ai-verify-apigw + npm install + bash <(curl -s -L https://detect.synopsys.com/detect9.sh) --blackduck.url=https://blackduck.aipo-imda.net/ --blackduck.api.token=${{ secrets.BLACKDUCK_TOKEN }} --detect.detector.search.depth=10 --detect.project.name=ai-verify-apigw --detect.project.version.name=$(date +"%d-%m-%Y") --detect.source.path=. --detect.code.location.name="ai-verify-apigw_$(date +"%d-%m-%Y")" --detect.excluded.directories=/tests --blackduck.trust.cert=true + cd ../ + + - name: Install & Scan PORTAL + run: | + cd ai-verify-portal + npm install + bash <(curl -s -L https://detect.synopsys.com/detect9.sh) --blackduck.url=https://blackduck.aipo-imda.net/ --blackduck.api.token=${{ secrets.BLACKDUCK_TOKEN }} --detect.detector.search.depth=10 --detect.project.name=ai-verify-portal --detect.project.version.name=$(date +"%d-%m-%Y") --detect.source.path=. --detect.code.location.name="ai-verify-portal_$(date +"%d-%m-%Y")" --detect.excluded.directories=/tests --blackduck.trust.cert=true + cd ../ + + - name: Install & Scan SHARED LIBRARY + run: | + cd ai-verify-shared-library + npm install + bash <(curl -s -L https://detect.synopsys.com/detect9.sh) --blackduck.url=https://blackduck.aipo-imda.net/ --blackduck.api.token=${{ secrets.BLACKDUCK_TOKEN }} --detect.detector.search.depth=10 --detect.project.name=ai-verify-shared-library --detect.project.version.name=$(date +"%d-%m-%Y") --detect.source.path=. --detect.code.location.name="ai-verify-shared-library_$(date +"%d-%m-%Y")" --detect.excluded.directories=/tests --blackduck.trust.cert=true + cd ../ + + - name: Install & Scan TEST ENGINE APP + run: | + cd test-engine-app + python3 -m venv venv + source venv/bin/activate + pip install -r requirements.txt + bash <(curl -s -L https://detect.synopsys.com/detect9.sh) --blackduck.url=https://blackduck.aipo-imda.net/ --blackduck.api.token=${{ secrets.BLACKDUCK_TOKEN }} --detect.detector.search.depth=10 --detect.project.name=test-engine-app --detect.project.version.name=$(date +"%d-%m-%Y") --detect.source.path=. --detect.code.location.name="test-engine-app_$(date +"%d-%m-%Y")" --detect.excluded.directories=/tests --blackduck.trust.cert=true + cd ../ + + - name: Install & Scan TEST ENGINE CORE + run: | + cd test-engine-core + python3 -m venv venv + source venv/bin/activate + pip install -r requirements.txt + bash <(curl -s -L https://detect.synopsys.com/detect9.sh) --blackduck.url=https://blackduck.aipo-imda.net/ --blackduck.api.token=${{ secrets.BLACKDUCK_TOKEN }} --detect.detector.search.depth=10 --detect.project.name=test-engine-core --detect.project.version.name=$(date +"%d-%m-%Y") --detect.source.path=. --detect.code.location.name="test-engine-core_$(date +"%d-%m-%Y")" --detect.excluded.directories=/tests --blackduck.trust.cert=true + cd ../ + + - name: Install & Scan TEST ENGINE CORE MODULES + run: | + cd test-engine-core-modules + python3 -m venv venv + source venv/bin/activate + pip install -r requirements.txt + bash <(curl -s -L https://detect.synopsys.com/detect9.sh) --blackduck.url=https://blackduck.aipo-imda.net/ --blackduck.api.token=${{ secrets.BLACKDUCK_TOKEN }} --detect.detector.search.depth=10 --detect.project.name=test-engine-core-modules --detect.project.version.name=$(date +"%d-%m-%Y") --detect.source.path=. --detect.code.location.name="test-engine-core-modules_$(date +"%d-%m-%Y")" --detect.excluded.directories=/tests --blackduck.trust.cert=true + cd ../ + + - name: Install & Scan STOCK PLUGINS + run: | + cd stock-plugins + python3 -m venv venv + source venv/bin/activate + find ./ -type f -name 'requirements.txt' -exec pip install -r "{}" \; + bash <(curl -s -L https://detect.synopsys.com/detect9.sh) --blackduck.url=https://blackduck.aipo-imda.net/ --blackduck.api.token=${{ secrets.BLACKDUCK_TOKEN }} --detect.detector.search.depth=10 --detect.project.name=test-engine-core --detect.project.version.name=$(date +"%d-%m-%Y") --detect.source.path=. --detect.code.location.name="stock-plugins_$(date +"%d-%m-%Y")" --detect.excluded.directories=/tests --blackduck.trust.cert=true + cd ../ diff --git a/README.md b/README.md index 759922835..9906e1a13 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ -[![Integration Tests](https://github.com/IMDA-BTG/aiverify/actions/workflows/integration-tests.yml/badge.svg)](https://github.com/IMDA-BTG/aiverify/actions/workflows/integration-tests.yml) +[![Integration Tests](https://github.com/IMDA-BTG/aiverify/actions/workflows/integration-tests.yml/badge.svg)](https://github.com/IMDA-BTG/aiverify/actions/workflows/integration-tests.yml) [![Integration Tests for aiverify-user (Docker)](https://github.com/IMDA-BTG/aiverify/actions/workflows/integration-tests-docker.yml/badge.svg)](https://github.com/IMDA-BTG/aiverify/actions/workflows/integration-tests-docker.yml) ## ✨New API Connector Feature! @@ -67,7 +67,7 @@ Thank you for your interest in AI Verify, and we look forward to your contributi ``` AI Verify -Copyright 2023 AI Verify Foundation +Copyright 2024 AI Verify Foundation This product includes software developed under the AI Verify Foundation. diff --git a/ai-verify-apigw/__tests__/graphql/dataset.test.mjs b/ai-verify-apigw/__tests__/graphql/dataset.test.mjs index cbb44bd2b..adbc7180e 100644 --- a/ai-verify-apigw/__tests__/graphql/dataset.test.mjs +++ b/ai-verify-apigw/__tests__/graphql/dataset.test.mjs @@ -128,7 +128,7 @@ describe("Test Dataset GraphQL queries and mutations", () => { const response2 = await server.executeOperation({ query, variables: { - datasetID: mongoose.Types.ObjectId(), + datasetID: new mongoose.Types.ObjectId(), dataset: { description: 'Mock Description2', name: 'New File Name2.png', @@ -141,7 +141,7 @@ describe("Test Dataset GraphQL queries and mutations", () => { expect(response2.body.singleResult.errors).toBeDefined(); // check not updated into db - const doc = await DatasetModel.findOne({ _id: mongoose.Types.ObjectId(id) }); + const doc = await DatasetModel.findOne({ _id: new mongoose.Types.ObjectId(id) }); expect(doc.name).toEqual(data[dataLen-1].name); expect(doc.status).toEqual(data[dataLen-1].status); @@ -177,7 +177,7 @@ describe("Test Dataset GraphQL queries and mutations", () => { expect(response.body.singleResult.errors).toBeUndefined(); // check updated into db - const doc = await DatasetModel.findOne({ _id: mongoose.Types.ObjectId(id) }); + const doc = await DatasetModel.findOne({ _id: new mongoose.Types.ObjectId(id) }); expect(doc.name).toEqual('New File Name.png'); expect(doc.status).toEqual('Cancelled'); expect(doc.description).toEqual('Mock Description'); @@ -284,7 +284,7 @@ describe("Test Dataset GraphQL queries and mutations", () => { response = await server.executeOperation({ query, variables: { - id: mongoose.Types.ObjectId() + id: new mongoose.Types.ObjectId() } }) // check response diff --git a/ai-verify-apigw/__tests__/graphql/model.test.mjs b/ai-verify-apigw/__tests__/graphql/model.test.mjs index b4e32ae14..82ac98844 100644 --- a/ai-verify-apigw/__tests__/graphql/model.test.mjs +++ b/ai-verify-apigw/__tests__/graphql/model.test.mjs @@ -164,7 +164,7 @@ describe("Test Model GraphQL queries and mutations", () => { const response2 = await server.executeOperation({ query, variables: { - modelFileID: mongoose.Types.ObjectId(), + modelFileID: new mongoose.Types.ObjectId(), modelFile: { description: "Mock Description1", modelType: "Regression", @@ -179,7 +179,7 @@ describe("Test Model GraphQL queries and mutations", () => { // check not updated into db const doc = await ModelFileModel.findOne({ - _id: mongoose.Types.ObjectId(id), + _id: new mongoose.Types.ObjectId(id), }); expect(doc.name).toEqual(data[dataLen - 1].name); expect(doc.status).toEqual(data[dataLen - 1].status); @@ -214,7 +214,7 @@ describe("Test Model GraphQL queries and mutations", () => { // check updated into db const doc = await ModelFileModel.findOne({ - _id: mongoose.Types.ObjectId(id), + _id: new mongoose.Types.ObjectId(id), }); expect(doc.name).toEqual("New File Name1.png"); expect(doc.modelType).toEqual("Regression"); @@ -302,7 +302,7 @@ describe("Test Model GraphQL queries and mutations", () => { response = await server.executeOperation({ query, variables: { - id: mongoose.Types.ObjectId(), + id: new mongoose.Types.ObjectId(), }, }); // check response @@ -346,7 +346,7 @@ mutation($model: ModelAPIInput!) { // check updated into db const doc = await ModelFileModel.findOne({ - _id: mongoose.Types.ObjectId(id), + _id: new mongoose.Types.ObjectId(id), }); expect(doc).toBeDefined(); expect(doc.name).toEqual(model.name); @@ -570,7 +570,7 @@ mutation($id: ObjectID!) { `; for (let model of modelAPIData) { const count = await ModelFileModel.countDocuments({ - _id: mongoose.Types.ObjectId(model.id), + _id: new mongoose.Types.ObjectId(model.id), }); expect(count).toBe(1); @@ -587,7 +587,7 @@ mutation($id: ObjectID!) { // verify delete from db const count2 = await ModelFileModel.countDocuments({ - _id: mongoose.Types.ObjectId(model.id), + _id: new mongoose.Types.ObjectId(model.id), }); expect(count2).toBe(0); } diff --git a/ai-verify-apigw/__tests__/graphql/project.test.mjs b/ai-verify-apigw/__tests__/graphql/project.test.mjs index 6c3e30ac5..661fe16bb 100644 --- a/ai-verify-apigw/__tests__/graphql/project.test.mjs +++ b/ai-verify-apigw/__tests__/graphql/project.test.mjs @@ -256,7 +256,7 @@ mutation($project: ProjectInput!) { const obj = response.body.singleResult.data.createProject; // check inserted into db - const doc = await ProjectModel.findOne({ _id: mongoose.Types.ObjectId(obj.id) }); + const doc = await ProjectModel.findOne({ _id: new mongoose.Types.ObjectId(obj.id) }); let len = data.length; expect(doc.name).toBe(project.name); data.push(doc.toObject()) @@ -317,7 +317,7 @@ mutation($id: ObjectID!, $project: ProjectInput!) { expect(response.body.singleResult.errors).toBeUndefined(); // check updated into db - const doc = await ProjectModel.findOne({ _id: mongoose.Types.ObjectId(id) }); + const doc = await ProjectModel.findOne({ _id: new mongoose.Types.ObjectId(id) }); expect(doc.projectInfo).toEqual(project.projectInfo); }) @@ -349,7 +349,7 @@ mutation($id: ObjectID!, $project: ProjectInput!) { const response2 = await server.executeOperation({ query, variables: { - id: mongoose.Types.ObjectId().toString(), + id: new mongoose.Types.ObjectId().toString(), project: { projectInfo: project.projectInfo, } @@ -385,7 +385,7 @@ mutation($id: ObjectID!) { const obj = response.body.singleResult.data.cloneProject; // check updated into db - const doc = await ProjectModel.findOne({ _id: mongoose.Types.ObjectId(obj.id) }); + const doc = await ProjectModel.findOne({ _id: new mongoose.Types.ObjectId(obj.id) }); expect(doc.projectInfo.name).toBe(`Copy of ${origDoc.projectInfo.name}`); }) @@ -409,7 +409,7 @@ mutation($id: ObjectID!) { response = await server.executeOperation({ query, variables: { - id: mongoose.Types.ObjectId().toString(), + id: new mongoose.Types.ObjectId().toString(), } }) // check response @@ -710,7 +710,7 @@ mutation($id: ObjectID!) { response = await server.executeOperation({ query, variables: { - id: mongoose.Types.ObjectId() + id: new mongoose.Types.ObjectId() } }) // check response diff --git a/ai-verify-apigw/__tests__/graphql/projectTemplate.test.mjs b/ai-verify-apigw/__tests__/graphql/projectTemplate.test.mjs index 72636b298..0ff8ff725 100644 --- a/ai-verify-apigw/__tests__/graphql/projectTemplate.test.mjs +++ b/ai-verify-apigw/__tests__/graphql/projectTemplate.test.mjs @@ -260,7 +260,7 @@ mutation($id: ObjectID!, $projectTemplate: ProjectTemplateInput!) { expect(response.body.singleResult.errors).toBeUndefined(); // check updated into db - const doc = await ProjectTemplateModel.findOne({ _id: mongoose.Types.ObjectId(id) }); + const doc = await ProjectTemplateModel.findOne({ _id: new mongoose.Types.ObjectId(id) }); expect(doc.projectInfo).toEqual(projectTemplate.projectInfo); }) @@ -292,7 +292,7 @@ mutation($id: ObjectID!, $projectTemplate: ProjectTemplateInput!) { const response2 = await server.executeOperation({ query, variables: { - id: mongoose.Types.ObjectId().toString(), + id: new mongoose.Types.ObjectId().toString(), projectTemplate: { projectInfo: projectTemplate.projectInfo, } @@ -328,7 +328,7 @@ mutation($id: ObjectID!) { // check updated into db // const docs = await ProjectTemplateModel.find({ __t: null }).sort({ _id: -1 }).limit(1); - const doc = await ProjectTemplateModel.findOne({ _id: mongoose.Types.ObjectId(obj.id) }); + const doc = await ProjectTemplateModel.findOne({ _id: new mongoose.Types.ObjectId(obj.id) }); expect(doc).toBeDefined(); expect(doc.projectInfo.name).toBe(`Copy of ${origDoc.projectInfo.name}`); }) @@ -353,7 +353,7 @@ mutation($id: ObjectID!) { response = await server.executeOperation({ query, variables: { - id: mongoose.Types.ObjectId().toString(), + id: new mongoose.Types.ObjectId().toString(), } }) // check response @@ -408,7 +408,7 @@ mutation($id: ObjectID!) { response = await server.executeOperation({ query, variables: { - id: mongoose.Types.ObjectId() + id: new mongoose.Types.ObjectId() } }) // check response diff --git a/ai-verify-apigw/__tests__/routes/report.test.mjs b/ai-verify-apigw/__tests__/routes/report.test.mjs index 1d38a7b44..5912fd8ce 100644 --- a/ai-verify-apigw/__tests__/routes/report.test.mjs +++ b/ai-verify-apigw/__tests__/routes/report.test.mjs @@ -17,7 +17,7 @@ describe("Test /report route", () => { let fs; let server; let request; - const projectId = mongoose.Types.ObjectId(); + const projectId = new mongoose.Types.ObjectId(); const pdf_path = path.join(srcDir, "./mock_report.pdf"); beforeAll(async() => { diff --git a/ai-verify-apigw/__tests__/routes/upload.test.mjs b/ai-verify-apigw/__tests__/routes/upload.test.mjs index 1c97fcea6..2c4cef09b 100644 --- a/ai-verify-apigw/__tests__/routes/upload.test.mjs +++ b/ai-verify-apigw/__tests__/routes/upload.test.mjs @@ -45,96 +45,251 @@ describe("Test /upload route", () => { jest.unstable_mockModule("multer", () => { const multer = jest.createMockFromModule("multer"); - // console.log("multer", multer) - - // const multer = () => ({ - // array: jest - // .fn() - // .mockImplementationOnce(() => { - // return (req, res, next) => { - // req.files = [ - // { - // fieldname: "myFiles", - // originalname: "mockdata.sav", - // encoding: "7bit", - // mimetype: "application/octet-stream", - // destination: "/tmp", - // filename: "mockdata.sav", - // path: "/tmp/mockdata.sav", - // size: 2195, - // }, - // ]; - // return next(); - // }; - // }) - // .mockImplementationOnce(() => { - // return (req, res, next) => { - // req.files = [ - // { - // fieldname: "myModelFiles", - // originalname: "mockmodel.sav", - // encoding: "7bit", - // mimetype: "application/octet-stream", - // destination: "/tmp", - // filename: "mockmodel.sav", - // path: "/tmp/mockmodel.sav", - // size: 132878, - // }, - // ]; - // req.body = { - // myModelFolders: "", - // myModelType: "Classification", - // }; - // return next(); - // }; - // }), - // }); - // multer.diskStorage = () => jest.fn(); - // multer.memoryStorage = () => jest.fn(); - const array = jest.fn() - .mockReturnValueOnce((req, res, next) => { - req.files = [ - { - fieldname: "myFiles", - originalname: "mockdata.sav", - encoding: "7bit", - mimetype: "application/octet-stream", - destination: "/tmp", - filename: "mockdata.sav", - path: "/tmp/mockdata.sav", - size: 2195, - }, - ]; - return next(); - }) - .mockReturnValueOnce((req, res, next) => { - req.files = [ - { - fieldname: "myModelFiles", - originalname: "mockmodel.sav", - encoding: "7bit", - mimetype: "application/octet-stream", - destination: "/tmp", - filename: "mockmodel.sav", - path: "/tmp/mockmodel.sav", - size: 132878, - }, - ]; - req.body = { - myModelFolders: "", - myModelType: "Classification", - }; - return next(); - }) - multer.mockReturnValue({ - array + + const array = jest.fn() + + array.mockImplementationOnce(() => jest.fn() + // mocks for data files upload + .mockImplementationOnce((req, res, next) => { + req.files = [ + { + fieldname: "myFiles", + originalname: "mockdata.sav", + encoding: "7bit", + mimetype: "application/octet-stream", + destination: "/tmp", + filename: "mockdata.sav", + path: "/tmp/mockdata.sav", + size: 2195, + }, + ]; + return next(); }) - return { + .mockImplementationOnce((req, res, next) => { + req.files = [ + { + fieldname: "myFiles", + originalname: "../mockdata.sav", + encoding: "7bit", + mimetype: "application/octet-stream", + destination: "/tmp", + filename: "../mockdata.sav", + path: "/tmp/mockdata.sav", + size: 2195, + }, + ]; + return next(); + }) + .mockImplementationOnce((req, res, next) => { + req.files = [ + { + fieldname: "myFiles", + originalname: "mockdata2.sav", + encoding: "7bit", + mimetype: "application/octet-stream", + destination: "/tmp", + filename: "mockdata2.sav", + path: "/tmp/mockdata2.sav", + size: 2195, + }, + ]; + req.body = { + myFolder: "mock_folder", + myFolders: [ + "../mock_folder" + ] + } + return next(); + }) + ) // mocks for model files upload + .mockImplementationOnce(() => jest.fn() + .mockImplementationOnce((req, res, next) => { + req.files = [ + { + fieldname: "myModelFiles", + originalname: "mockmodel.sav", + encoding: "7bit", + mimetype: "application/octet-stream", + destination: "/tmp", + filename: "mockmodel.sav", + path: "/tmp/mockmodel.sav", + size: 132878, + }, + ]; + req.body = { + myModelType: "Classification", + }; + return next(); + }) + .mockImplementationOnce((req, res, next) => { + req.files = [ + { + fieldname: "myModelFiles", + originalname: "../mockmodel.sav", + encoding: "7bit", + mimetype: "application/octet-stream", + destination: "/tmp", + filename: "../mockmodel.sav", + path: "/tmp/mockmodel.sav", + size: 132878, + }, + ]; + req.body = { + myModelType: "Classification", + }; + return next(); + }) + .mockImplementationOnce((req, res, next) => { + req.files = [ + { + fieldname: "myModelFiles", + originalname: "mockmodel2.sav", + encoding: "7bit", + mimetype: "application/octet-stream", + destination: "/tmp", + filename: "mockmodel2.sav", + path: "/tmp/mockmodel2.sav", + size: 132878, + }, + ]; + req.body = { + myModelFolder: "mock_folder", + myModelFolders: [ + "../mock_folder2" + ], + myModelType: "Classification", + }; + return next(); + }) + ) + + + /* + const array = jest.fn(() => jest.fn() + .mockImplementationOnce((req, res, next) => { + req.files = [ + { + fieldname: "myFiles", + originalname: "mockdata.sav", + encoding: "7bit", + mimetype: "application/octet-stream", + destination: "/tmp", + filename: "mockdata.sav", + path: "/tmp/mockdata.sav", + size: 2195, + }, + ]; + return next(); + }) + .mockImplementationOnce((req, res, next) => { + req.files = [ + { + fieldname: "myFiles", + originalname: "../mockdata.sav", + encoding: "7bit", + mimetype: "application/octet-stream", + destination: "/tmp", + filename: "../mockdata.sav", + path: "/tmp/mockdata.sav", + size: 2195, + }, + ]; + return next(); + }) + .mockImplementationOnce((req, res, next) => { + req.files = [ + { + fieldname: "myFiles", + originalname: "mockdata2.sav", + encoding: "7bit", + mimetype: "application/octet-stream", + destination: "/tmp", + filename: "mockdata2.sav", + path: "/tmp/mockdata2.sav", + size: 2195, + }, + ]; + req.body = { + myFolder: "mock_folder", + myFolders: [ + "../mock_folder" + ] + } + return next(); + }) + .mockImplementationOnce((req, res, next) => { + req.files = [ + { + fieldname: "myModelFiles", + originalname: "mockmodel.sav", + encoding: "7bit", + mimetype: "application/octet-stream", + destination: "/tmp", + filename: "mockmodel.sav", + path: "/tmp/mockmodel.sav", + size: 132878, + }, + ]; + req.body = { + myModelType: "Classification", + }; + return next(); + }) + .mockImplementationOnce((req, res, next) => { + req.files = [ + { + fieldname: "myModelFiles", + originalname: "../mockmodel.sav", + encoding: "7bit", + mimetype: "application/octet-stream", + destination: "/tmp", + filename: "../mockmodel.sav", + path: "/tmp/mockmodel.sav", + size: 132878, + }, + ]; + req.body = { + myModelFolders: "", + myModelType: "Classification", + }; + return next(); + }) + .mockImplementationOnce((req, res, next) => { + req.files = [ + { + fieldname: "myModelFiles", + originalname: "mockmodel2.sav", + encoding: "7bit", + mimetype: "application/octet-stream", + destination: "/tmp", + filename: "mockmodel2.sav", + path: "/tmp/mockmodel2.sav", + size: 132878, + }, + ]; + req.body = { + myModelFolder: "mock_folder", + myModelFolders: [ + "../mock_folder2" + ], + myModelType: "Classification", + }; + return next(); + }) + ) + */ + + multer.mockReturnValue({ + array + }) + + return { __esModule: true, default: multer, diskStorage: multer.diskStorage, memoryStorage: multer.memoryStorage, - array: jest.fn(), + // array: jest.fn(), + // array, }; }); multer = await import("multer"); @@ -156,6 +311,10 @@ describe("Test /upload route", () => { jest.clearAllMocks(); }); + /** + * Data upload tests + */ + it("/upload/data should upload dataset file", async () => { fs.existsSync.mockReturnValue(true); fs.statSync.mockReturnValue({}); @@ -165,6 +324,28 @@ describe("Test /upload route", () => { expect(response.status).toBe(201) }); + it("/upload/data should not upload invalid data file", async () => { + fs.existsSync.mockReturnValue(true); + fs.statSync.mockReturnValue({}); + fs.readdirSync.mockReturnValue([]); + + const response = await request.post("/upload/data"); + expect(response.status).toBe(400) + }); + + it("/upload/data should not upload invalid dataset folder", async () => { + fs.existsSync.mockReturnValue(true); + fs.statSync.mockReturnValue({}); + fs.readdirSync.mockReturnValue([]); + + const response = await request.post("/upload/data"); + expect(response.status).toBe(500) + }); + + /** + * Model upload tests + */ + it("/upload/model should upload model file", async () => { fs.existsSync.mockReturnValue(true); fs.statSync.mockReturnValue({}); @@ -173,4 +354,23 @@ describe("Test /upload route", () => { const response = await request.post("/upload/model"); expect(response.status).toBe(201) }); + + it("/upload/model should not upload invalid model file", async () => { + fs.existsSync.mockReturnValue(true); + fs.statSync.mockReturnValue({}); + fs.readdirSync.mockReturnValue([]); + + const response = await request.post("/upload/model"); + expect(response.status).toBe(400) + }); + + it("/upload/model should not upload invalid model file folder", async () => { + fs.existsSync.mockReturnValue(true); + fs.statSync.mockReturnValue({}); + fs.readdirSync.mockReturnValue([]); + + const response = await request.post("/upload/model"); + expect(response.status).toBe(500) + }); + }); diff --git a/ai-verify-apigw/app.mjs b/ai-verify-apigw/app.mjs index 8e1fa125b..b232556fd 100644 --- a/ai-verify-apigw/app.mjs +++ b/ai-verify-apigw/app.mjs @@ -14,6 +14,9 @@ const allowedOrigins = process.env.ALLOWED_ORIGINS !== undefined ? process.env.ALLOWED_ORIGINS.split(',') : ['http://localhost:3000','http://localhost:4000']; const app = express(); +// enable trust proxy, see https://expressjs.com/en/guide/behind-proxies.html +app.set('trust proxy', 1) + // CORS options const corsOptions = { origin: function (origin, callback) { diff --git a/ai-verify-apigw/graphql/modules/assets/dataset.mjs b/ai-verify-apigw/graphql/modules/assets/dataset.mjs index 1ca988df4..7e36c82b3 100644 --- a/ai-verify-apigw/graphql/modules/assets/dataset.mjs +++ b/ai-verify-apigw/graphql/modules/assets/dataset.mjs @@ -53,7 +53,7 @@ const resolvers = { } }).then(dataset => { - if (dataset.filePath) { + if (dataset && dataset.filePath) { var filePath = dataset.filePath; } else { return reject("dataset.filePath is empty") diff --git a/ai-verify-apigw/graphql/modules/project/project.mjs b/ai-verify-apigw/graphql/modules/project/project.mjs index 990f35c46..bd3e4d79e 100644 --- a/ai-verify-apigw/graphql/modules/project/project.mjs +++ b/ai-verify-apigw/graphql/modules/project/project.mjs @@ -133,7 +133,7 @@ const resolvers = { .then((template) => { const newProject = { ...template.toObject(), - _id: mongoose.Types.ObjectId(), + _id: new mongoose.Types.ObjectId(), template: template._id, projectInfo: project.projectInfo, }; @@ -176,19 +176,19 @@ const resolvers = { const modelAndDatasets = project.modelAndDatasets; if (modelAndDatasets) { if (modelAndDatasets.modelId) { - modelAndDatasets.model = mongoose.Types.ObjectId( + modelAndDatasets.model = new mongoose.Types.ObjectId( modelAndDatasets.modelId ); delete modelAndDatasets.modelId; } if (modelAndDatasets.testDatasetId) { - modelAndDatasets.testDataset = mongoose.Types.ObjectId( + modelAndDatasets.testDataset = new mongoose.Types.ObjectId( modelAndDatasets.testDatasetId ); delete modelAndDatasets.testDatasetId; } if (modelAndDatasets.groundTruthDatasetId) { - modelAndDatasets.groundTruthDataset = mongoose.Types.ObjectId( + modelAndDatasets.groundTruthDataset = new mongoose.Types.ObjectId( modelAndDatasets.groundTruthDatasetId ); delete modelAndDatasets.groundTruthDatasetId; @@ -219,7 +219,7 @@ const resolvers = { .then((doc) => { if (!doc) return reject("Invalid ID"); let newdoc = new ProjectModel(doc); - newdoc._id = mongoose.Types.ObjectId(); + newdoc._id = new mongoose.Types.ObjectId(); newdoc.fromPlugin = false; newdoc.projectInfo.name = `Copy of ${doc.projectInfo.name}`; newdoc.report = null; @@ -243,7 +243,7 @@ const resolvers = { if (!doc) return reject("Invalid ID"); let newdoc = { ...doc.toObject(), - _id: mongoose.Types.ObjectId(), + _id: new mongoose.Types.ObjectId(), projectInfo: templateInfo, fromPlugin: false, }; diff --git a/ai-verify-apigw/graphql/modules/project/projectTemplate.mjs b/ai-verify-apigw/graphql/modules/project/projectTemplate.mjs index a4eef1787..69c7ddc9d 100644 --- a/ai-verify-apigw/graphql/modules/project/projectTemplate.mjs +++ b/ai-verify-apigw/graphql/modules/project/projectTemplate.mjs @@ -101,7 +101,7 @@ const resolvers = { .then((doc) => { if (!doc) return reject("Invalid ID"); let newdoc = new ProjectTemplateModel(doc); - newdoc._id = mongoose.Types.ObjectId(); + newdoc._id = new mongoose.Types.ObjectId(); newdoc.fromPlugin = false; newdoc.projectInfo.name = `Copy of ${doc.projectInfo.name}`; newdoc.isNew = true; diff --git a/ai-verify-apigw/lib/mongodb.mjs b/ai-verify-apigw/lib/mongodb.mjs index a9d4072e7..a7a81f1d0 100644 --- a/ai-verify-apigw/lib/mongodb.mjs +++ b/ai-verify-apigw/lib/mongodb.mjs @@ -15,7 +15,7 @@ if (!process.env.DB_HOST || !process.env.DB_PORT) { const DB_URI = `mongodb://${process.env.DB_USERNAME}:${process.env.DB_PASSWORD}@${process.env.DB_HOST}:${process.env.DB_PORT}/aiverify`; console.debug(`Connecting to ${DB_URI}`); -mongoose.connect(DB_URI, {useNewUrlParser: true}); +mongoose.connect(DB_URI, {}); var db = mongoose.connection; db.on('error', err => { diff --git a/ai-verify-apigw/lib/rateLimit.mjs b/ai-verify-apigw/lib/rateLimit.mjs new file mode 100644 index 000000000..247df1894 --- /dev/null +++ b/ai-verify-apigw/lib/rateLimit.mjs @@ -0,0 +1,10 @@ +import { rateLimit } from 'express-rate-limit' + +// create rate limiter +export const limiter = rateLimit({ + windowMs: 60 * 1000, // 1 minutes + limit: 100, // Limit each IP to 100 requests per `window` (here, per 1 minutes). + standardHeaders: 'draft-7', // draft-6: `RateLimit-*` headers; draft-7: combined `RateLimit` header + legacyHeaders: false, // Disable the `X-RateLimit-*` headers. + // store: ... , // Redis, Memcached, etc. See below. +}) diff --git a/ai-verify-apigw/lib/redisClient.mjs b/ai-verify-apigw/lib/redisClient.mjs index 8b1276bb0..15f319ce7 100644 --- a/ai-verify-apigw/lib/redisClient.mjs +++ b/ai-verify-apigw/lib/redisClient.mjs @@ -15,23 +15,34 @@ const redisConnect = () => { url: REDIS_URI, socket: { // Abort connecting to redis after 3 retries. - reconnectStrategy: (retries) => { - if (retries > 2) { - console.error("Too many connect retries on redis."); - return new Error("Too many connect retries on redis."); - } - else { - return retries; - } - }, + // PY: remove below and use default reconnect strategy + // reconnectStrategy: (retries) => { + // if (retries > 2) { + // console.error("Too many connect retries on redis."); + // return new Error("Too many connect retries on redis."); + // } + // else { + // return retries; + // } + // }, }, }); redis.on('error', (err) => { console.error('redis connection error:', err); + // redis.disconnect(); + }); + redis.on('end', (err) => { + // console.error('redis connection ended:', err); }); redis.on('ready', () => { // console.info('Message queue is ready') }) + redis.on("reconnecting", function () { + // console.log("redis reconnecting"); + }); + redis.on('connect', () => { + // console.info('redis connected') + }) // if (NODE_ENV !== 'test') redis.connect(); return redis; diff --git a/ai-verify-apigw/lib/report.mjs b/ai-verify-apigw/lib/report.mjs index 6ac4beff8..9fd2cac39 100644 --- a/ai-verify-apigw/lib/report.mjs +++ b/ai-verify-apigw/lib/report.mjs @@ -22,52 +22,71 @@ export function getReportFilename(projectId) { export async function generateReport(reportId) { let report = await ReportModel.findById(reportId); + if (!report) { + console.error(`Report ${reportId} not found`); + return; + } - report.status = "GeneratingReport"; - report = await report.save(); - pubsub.publish("REPORT_STATUS_UPDATED", { - reportStatusUpdated: report.toObject() - }) + try { + report.status = "GeneratingReport"; + report = await report.save(); + pubsub.publish("REPORT_STATUS_UPDATED", { + reportStatusUpdated: report.toObject() + }) + + // generate report + // added --no-sandbox param to make it work in containerized env. + const browser = await puppeteer.launch({args: ['--no-sandbox'], headless:'new'}); + const page = await browser.newPage(); + const url = `${WEB_REPORT_URL}/${report.project.toString()}`; + // const pdf_name = `report_${report.project.toString()}.pdf`; + const pdf_name = getReportFilename(report.project.toString()); + const pdf_path = path.join(REPORT_DIRNAME, pdf_name); + await page.goto(url, { waitUntil: 'networkidle0', timeout: 60000 }); + const pdf = await page.pdf({ + path: pdf_path, + printBackground: true, + format: 'A4', + margin: { + top: 10, + bottom: 33, + }, + displayHeaderFooter: true, + footerTemplate: ` + +
+ Page of +
+ ` + }); + + // update report status + report.status = "ReportGenerated"; + const updatedReport = await report.save(); + // const report = await ReportModel.findOneAndUpdate( + // { _id: msg.reportId }, + // { + // "$set": { + // status: "ReportGenerated", + // } + // }, + // { new: true } + // ) + pubsub.publish("REPORT_STATUS_UPDATED", { + reportStatusUpdated: updatedReport.toObject() + }) + } catch (e) { + console.error("Error generating report"); + console.error(e) + try { + report.status = "ReportError"; + report = await report.save(); + pubsub.publish("REPORT_STATUS_UPDATED", { + reportStatusUpdated: report.toObject() + }) + } catch (e2) { - // generate report - // added --no-sandbox param to make it work in containerized env. - const browser = await puppeteer.launch({args: ['--no-sandbox'], headless:'new'}); - const page = await browser.newPage(); - const url = `${WEB_REPORT_URL}/${report.project.toString()}`; - // const pdf_name = `report_${report.project.toString()}.pdf`; - const pdf_name = getReportFilename(report.project.toString()); - const pdf_path = path.join(REPORT_DIRNAME, pdf_name); - await page.goto(url, { waitUntil: 'networkidle0', timeout: 60000 }); - const pdf = await page.pdf({ - path: pdf_path, - printBackground: true, - format: 'A4', - margin: { - top: 10, - bottom: 33, - }, - displayHeaderFooter: true, - footerTemplate: ` - -
- Page of -
- ` - }); + } + } - // update report status - report.status = "ReportGenerated"; - const updatedReport = await report.save(); - // const report = await ReportModel.findOneAndUpdate( - // { _id: msg.reportId }, - // { - // "$set": { - // status: "ReportGenerated", - // } - // }, - // { new: true } - // ) - pubsub.publish("REPORT_STATUS_UPDATED", { - reportStatusUpdated: updatedReport.toObject() - }) } \ No newline at end of file diff --git a/ai-verify-apigw/package-lock.json b/ai-verify-apigw/package-lock.json index 8d1d47c47..73432efea 100644 --- a/ai-verify-apigw/package-lock.json +++ b/ai-verify-apigw/package-lock.json @@ -14,11 +14,11 @@ "@graphql-tools/merge": "^8.3.14", "@graphql-tools/schema": "^9.0.12", "adm-zip": "^0.5.10", - "bluebird": "^3.7.2", "body-parser": "^1.20.1", "cors": "^2.8.5", "dotenv": "^16.0.3", "express": "^4.18.2", + "express-rate-limit": "^7.2.0", "graphql": "16.8.1", "graphql-constraint-directive": "^5.0.0", "graphql-redis-subscriptions": "^2.6.0", @@ -27,11 +27,11 @@ "jsonschema": "^1.4.1", "lodash": "^4.17.21", "moment": "^2.29.4", - "mongoose": "^6.11.4", + "mongoose": "^8.2.0", "multer": "^1.4.5-lts.1", "node-cache": "^5.1.2", "openapi-enforcer": "^1.22.3", - "puppeteer": "^20.9.0", + "puppeteer": "^22.3.0", "redis": "^4.5.1", "ws": "^8.11.0" }, @@ -47,7 +47,7 @@ "jest-html-reporter": "^3.7.1", "jest-json-reporter": "^1.2.2", "mock-fs": "^5.2.0", - "mongodb-memory-server": "^8.13.0", + "mongodb-memory-server": "^9.1.6", "supertest": "^6.3.3", "ts-jest": "^29.1.0" } @@ -296,6 +296,7 @@ "resolved": "https://registry.npmjs.org/@aws-crypto/crc32/-/crc32-3.0.0.tgz", "integrity": "sha512-IzSgsrxUcsrejQbPVilIKy16kAT52EwB6zSaI+M3xxIhKh5+aldEyvI+z6erM7TCLB2BJsFrtHjp6/4/sr+3dA==", "optional": true, + "peer": true, "dependencies": { "@aws-crypto/util": "^3.0.0", "@aws-sdk/types": "^3.222.0", @@ -306,13 +307,15 @@ "version": "1.14.1", "resolved": "https://registry.npmjs.org/tslib/-/tslib-1.14.1.tgz", "integrity": "sha512-Xni35NKzjgMrwevysHTCArtLDpPvye8zV/0E4EyYn43P7/7qvQwPh9BGkHewbMulVntbigmcT7rdX3BNo9wRJg==", - "optional": true + "optional": true, + "peer": true }, "node_modules/@aws-crypto/ie11-detection": { "version": "3.0.0", "resolved": "https://registry.npmjs.org/@aws-crypto/ie11-detection/-/ie11-detection-3.0.0.tgz", "integrity": "sha512-341lBBkiY1DfDNKai/wXM3aujNBkXR7tq1URPQDL9wi3AUbI80NR74uF1TXHMm7po1AcnFk8iu2S2IeU/+/A+Q==", "optional": true, + "peer": true, "dependencies": { "tslib": "^1.11.1" } @@ -321,13 +324,15 @@ "version": "1.14.1", "resolved": "https://registry.npmjs.org/tslib/-/tslib-1.14.1.tgz", "integrity": "sha512-Xni35NKzjgMrwevysHTCArtLDpPvye8zV/0E4EyYn43P7/7qvQwPh9BGkHewbMulVntbigmcT7rdX3BNo9wRJg==", - "optional": true + "optional": true, + "peer": true }, "node_modules/@aws-crypto/sha256-browser": { "version": "3.0.0", "resolved": "https://registry.npmjs.org/@aws-crypto/sha256-browser/-/sha256-browser-3.0.0.tgz", "integrity": "sha512-8VLmW2B+gjFbU5uMeqtQM6Nj0/F1bro80xQXCW6CQBWgosFWXTx77aeOF5CAIAmbOK64SdMBJdNr6J41yP5mvQ==", "optional": true, + "peer": true, "dependencies": { "@aws-crypto/ie11-detection": "^3.0.0", "@aws-crypto/sha256-js": "^3.0.0", @@ -343,13 +348,15 @@ "version": "1.14.1", "resolved": "https://registry.npmjs.org/tslib/-/tslib-1.14.1.tgz", "integrity": "sha512-Xni35NKzjgMrwevysHTCArtLDpPvye8zV/0E4EyYn43P7/7qvQwPh9BGkHewbMulVntbigmcT7rdX3BNo9wRJg==", - "optional": true + "optional": true, + "peer": true }, "node_modules/@aws-crypto/sha256-js": { "version": "3.0.0", "resolved": "https://registry.npmjs.org/@aws-crypto/sha256-js/-/sha256-js-3.0.0.tgz", "integrity": "sha512-PnNN7os0+yd1XvXAy23CFOmTbMaDxgxXtTKHybrJ39Y8kGzBATgBFibWJKH6BhytLI/Zyszs87xCOBNyBig6vQ==", "optional": true, + "peer": true, "dependencies": { "@aws-crypto/util": "^3.0.0", "@aws-sdk/types": "^3.222.0", @@ -360,13 +367,15 @@ "version": "1.14.1", "resolved": "https://registry.npmjs.org/tslib/-/tslib-1.14.1.tgz", "integrity": "sha512-Xni35NKzjgMrwevysHTCArtLDpPvye8zV/0E4EyYn43P7/7qvQwPh9BGkHewbMulVntbigmcT7rdX3BNo9wRJg==", - 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"resolved": "https://registry.npmjs.org/semver/-/semver-7.3.8.tgz", - "integrity": "sha512-NB1ctGL5rlHrPJtFDVIVzTyQylMLu9N9VICA6HSFJo8MCGVTMW6gfpicwKmmK/dAjTOrqu5l63JJOpDSrAis3A==", + "version": "7.6.0", + "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.0.tgz", + "integrity": "sha512-EnwXhrlwXMk9gKu5/flx5sv/an57AkRplG3hTK68W7FRDN+k+OWBj65M7719OkA82XLBxrcX0KSHj+X5COhOVg==", "dev": true, "dependencies": { "lru-cache": "^6.0.0" @@ -12382,41 +12589,28 @@ } }, "node_modules/tar-fs": { - "version": "3.0.4", - "resolved": "https://registry.npmjs.org/tar-fs/-/tar-fs-3.0.4.tgz", - "integrity": "sha512-5AFQU8b9qLfZCX9zp2duONhPmZv0hGYiBPJsyUdqMjzq/mqVpy/rEUSeHk1+YitmxugaptgBh5oDGU3VsAJq4w==", + "version": "3.0.5", + "resolved": "https://registry.npmjs.org/tar-fs/-/tar-fs-3.0.5.tgz", + "integrity": "sha512-JOgGAmZyMgbqpLwct7ZV8VzkEB6pxXFBVErLtb+XCOqzc6w1xiWKI9GVd6bwk68EX7eJ4DWmfXVmq8K2ziZTGg==", "dependencies": { - "mkdirp-classic": "^0.5.2", "pump": "^3.0.0", "tar-stream": "^3.1.5" + }, + "optionalDependencies": { + "bare-fs": "^2.1.1", + "bare-path": "^2.1.0" } }, - 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}, - "engines": { - "node": ">=6" - } - }, "node_modules/test-exclude": { "version": "6.0.0", "resolved": "https://registry.npmjs.org/test-exclude/-/test-exclude-6.0.0.tgz", @@ -12537,9 +12731,9 @@ } }, "node_modules/ts-jest/node_modules/semver": { - "version": "7.5.0", - "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.0.tgz", - "integrity": "sha512-+XC0AD/R7Q2mPSRuy2Id0+CGTZ98+8f+KvwirxOKIEyid+XSx6HbC63p+O4IndTHuX5Z+JxQ0TghCkO5Cg/2HA==", + "version": "7.6.0", + "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.0.tgz", + "integrity": "sha512-EnwXhrlwXMk9gKu5/flx5sv/an57AkRplG3hTK68W7FRDN+k+OWBj65M7719OkA82XLBxrcX0KSHj+X5COhOVg==", "dev": true, "dependencies": { "lru-cache": "^6.0.0" @@ -12691,11 +12885,11 @@ } }, "node_modules/universalify": { - "version": "0.1.2", - "resolved": "https://registry.npmjs.org/universalify/-/universalify-0.1.2.tgz", - "integrity": "sha512-rBJeI5CXAlmy1pV+617WB9J63U6XcazHHF2f2dbJix4XzpUF0RS3Zbj0FGIOCAva5P/d/GBOYaACQ1w+0azUkg==", + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/universalify/-/universalify-2.0.1.tgz", + "integrity": "sha512-gptHNQghINnc/vTGIk0SOFGFNXw7JVrlRUtConJRlvaw6DuX0wO5Jeko9sWrMBhh+PsYAZ7oXAiOnf/UKogyiw==", "engines": { - "node": ">= 4.0.0" + "node": ">= 10.0.0" } }, "node_modules/unixify": { @@ -12752,6 +12946,11 @@ "punycode": "^2.1.0" } }, + "node_modules/urlpattern-polyfill": { + "version": "10.0.0", + "resolved": "https://registry.npmjs.org/urlpattern-polyfill/-/urlpattern-polyfill-10.0.0.tgz", + "integrity": "sha512-H/A06tKD7sS1O1X2SshBVeA5FLycRpjqiBeqGKmBwBDBy28EnRjORxTNe269KSSr5un5qyWi1iL61wLxpd+ZOg==" + }, "node_modules/util-deprecate": { "version": "1.0.2", "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz", @@ -12874,9 +13073,9 @@ } }, "node_modules/word-wrap": { - "version": "1.2.3", - "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.3.tgz", - "integrity": "sha512-Hz/mrNwitNRh/HUAtM/VT/5VH+ygD6DV7mYKZAtHOrbs8U7lvPS6xf7EJKMF0uW1KJCl0H701g3ZGus+muE5vQ==", + "version": "1.2.5", + "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz", + "integrity": "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==", "dev": true, "engines": { "node": ">=0.10.0" @@ -12947,9 +13146,9 @@ } }, "node_modules/ws": { - "version": "8.13.0", - "resolved": "https://registry.npmjs.org/ws/-/ws-8.13.0.tgz", - "integrity": "sha512-x9vcZYTrFPC7aSIbj7sRCYo7L/Xb8Iy+pW0ng0wt2vCJv7M9HOMy0UoN3rr+IFC7hb7vXoqS+P9ktyLLLhO+LA==", + "version": "8.16.0", + "resolved": "https://registry.npmjs.org/ws/-/ws-8.16.0.tgz", + "integrity": "sha512-HS0c//TP7Ina87TfiPUz1rQzMhHrl/SG2guqRcTOIUYD2q8uhUdNHZYJUaQ8aTGPzCh+c6oawMKW35nFl1dxyQ==", "engines": { "node": ">=10.0.0" }, @@ -12997,9 +13196,9 @@ "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==" }, "node_modules/yargs": { - "version": "17.7.1", - "resolved": "https://registry.npmjs.org/yargs/-/yargs-17.7.1.tgz", - "integrity": "sha512-cwiTb08Xuv5fqF4AovYacTFNxk62th7LKJ6BL9IGUpTJrWoU7/7WdQGTP2SjKf1dUNBGzDd28p/Yfs/GI6JrLw==", + "version": "17.7.2", + "resolved": "https://registry.npmjs.org/yargs/-/yargs-17.7.2.tgz", + "integrity": "sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==", "dependencies": { "cliui": "^8.0.1", "escalade": "^3.1.1", diff --git a/ai-verify-apigw/package.json b/ai-verify-apigw/package.json index a2989f08c..ae05217c9 100644 --- a/ai-verify-apigw/package.json +++ b/ai-verify-apigw/package.json @@ -18,11 +18,11 @@ "@graphql-tools/merge": "^8.3.14", "@graphql-tools/schema": "^9.0.12", "adm-zip": "^0.5.10", - "bluebird": "^3.7.2", "body-parser": "^1.20.1", "cors": "^2.8.5", "dotenv": "^16.0.3", "express": "^4.18.2", + "express-rate-limit": "^7.2.0", "graphql": "16.8.1", "graphql-constraint-directive": "^5.0.0", "graphql-redis-subscriptions": "^2.6.0", @@ -31,11 +31,11 @@ "jsonschema": "^1.4.1", "lodash": "^4.17.21", "moment": "^2.29.4", - "mongoose": "^6.11.4", + "mongoose": "^8.2.0", "multer": "^1.4.5-lts.1", "node-cache": "^5.1.2", "openapi-enforcer": "^1.22.3", - "puppeteer": "^20.9.0", + "puppeteer": "^22.3.0", "redis": "^4.5.1", "ws": "^8.11.0" }, @@ -55,7 +55,7 @@ "jest-html-reporter": "^3.7.1", "jest-json-reporter": "^1.2.2", "mock-fs": "^5.2.0", - "mongodb-memory-server": "^8.13.0", + "mongodb-memory-server": "^9.1.6", "supertest": "^6.3.3", "ts-jest": "^29.1.0" }, diff --git a/ai-verify-apigw/routes/upload.mjs b/ai-verify-apigw/routes/upload.mjs index ecc7c4c43..a3ab05b2d 100644 --- a/ai-verify-apigw/routes/upload.mjs +++ b/ai-verify-apigw/routes/upload.mjs @@ -1,36 +1,43 @@ -import _ from 'lodash'; -import path from 'path'; -import fs from 'fs'; - -import express from 'express'; -import { ModelFileModel, DatasetModel } from '#models'; -import { queueDataset, queueModel } from '#lib/testEngineQueue.mjs'; -import multer from 'multer'; -import moment from 'moment'; +import _ from "lodash"; +import path from "path"; +import fs from "fs"; + +import express from "express"; +import { ModelFileModel, DatasetModel } from "#models"; +import { queueDataset, queueModel } from "#lib/testEngineQueue.mjs"; +import multer from "multer"; +import { limiter } from "../lib/rateLimit.mjs"; + +const VALID_MIME_TYPES = [ + "application/octet-stream", + "application/x-spss-sav", + "text/csv", + "text/tsv", + "text/x-python-script", +]; const router = express.Router(); - const storage = multer.diskStorage({ destination: function (req, file, cb) { - cb(null, "/tmp") + cb(null, "/tmp"); }, filename: function (req, file, cb) { // keep original filename - cb(null, file.originalname) - } -}) + cb(null, file.originalname); + }, +}); // const upload = multer({ dest: 'uploads/' }) -const upload = multer({ storage: storage }) +const upload = multer({ storage: storage }); function validateAndSanitize(userInput) { // Allow only alphanumeric characters and underscores const allowedCharactersRegex = /^[a-zA-Z0-9_]+$/; // Example maximum length constraint const maxLength = 50; - if (typeof userInput !== 'string') { - throw new Error('Invalid input type. Input must be a string.'); + if (typeof userInput !== "string") { + throw new Error("Invalid input type. Input must be a string."); } // Trim leading and trailing whitespaces userInput = userInput.trim(); @@ -40,33 +47,36 @@ function validateAndSanitize(userInput) { } // Check if the input contains only allowed characters if (!allowedCharactersRegex.test(userInput)) { - throw new Error('Invalid characters in the input. Only alphanumeric characters and underscores are allowed.'); + throw new Error( + "Invalid characters in the input. Only alphanumeric characters and underscores are allowed." + ); } return userInput; -}; +} function validateFileSize(file) { const maxFileSizeInGB = 4; const maxAllowedFileSize = Math.pow(1024, 3) * maxFileSizeInGB; - if (file.size === undefined) throw new Error('Invalid file size'); - if (file.size > maxAllowedFileSize) throw new Error(`File size is larger than the maximum allowed size of ${maxFileSizeInGB} GB`); + if (file.size === undefined) throw new Error("Invalid file size"); + if (file.size > maxAllowedFileSize) + throw new Error( + `File size is larger than the maximum allowed size of ${maxFileSizeInGB} GB` + ); return true; } - function formatBytes(bytes, decimals = 2) { - if (!+bytes) return '0 Bytes' + if (!+bytes) return "0 Bytes"; - const k = 1024 - const dm = decimals < 0 ? 0 : decimals - const sizes = ['Bytes', 'KB', 'MB', 'GB', 'TB', 'PB', 'EB', 'ZB', 'YB'] + const k = 1024; + const dm = decimals < 0 ? 0 : decimals; + const sizes = ["Bytes", "KB", "MB", "GB", "TB", "PB", "EB", "ZB", "YB"]; - const i = Math.floor(Math.log(bytes) / Math.log(k)) + const i = Math.floor(Math.log(bytes) / Math.log(k)); - return `${parseFloat((bytes / Math.pow(k, i)).toFixed(dm))} ${sizes[i]}` + return `${parseFloat((bytes / Math.pow(k, i)).toFixed(dm))} ${sizes[i]}`; } - /** * @openapi * /api/upload/data: @@ -98,7 +108,7 @@ function formatBytes(bytes, decimals = 2) { * description: Response * security: * - bearerAuth: [] - * + * * /api/upload/model: * post: * summary: Upload model file. All files uploaded will be saved under the "uploads" directory. @@ -127,139 +137,184 @@ function formatBytes(bytes, decimals = 2) { * '200': * description: Response * security: - * - bearerAuth: [] - * + * - bearerAuth: [] + * */ - /** * Route /api/upload/data */ -router.post('/data', upload.array('myFiles'), async function (req, res, next) { - - const files = req.files - const myFolders = req.body.myFolders; - const myFolder = req.body.myFolder; +router.post( + "/data", + limiter, + upload.array("myFiles"), + async function (req, res, next) { + const files = req.files; + const myFolders = req.body.myFolders; + const myFolder = req.body.myFolder; + + if (myFolder) { + if (!myFolders) { + return res.status(500).json({ err: "Invalid folder name" }); + } - if (myFolder) { - try { - validateAndSanitize(myFolder); - } catch (err) { - return res.sendStatus(500).json({ err }); + try { + if (_.isArray(myFolders)) { + for (const folderName of myFolders) { + validateAndSanitize(folderName); + } + } else { + validateAndSanitize(myFolders); } - } - if (!files) { - return res.sendStatus(400).json({ err: "No files to be uploaded"}); + validateAndSanitize(myFolder); + } catch (err) { + return res.status(500).json({ err }); } + } - //create /uploads folder if it doesnt exist - if (!fs.existsSync('../uploads')) { - fs.mkdirSync('../uploads', { recursive: true }); - } - - let baseFolder = `/data`; - - const data = []; - - let promises = files.map((file,index) => { - return new Promise(async (resolve, reject) => { - try { - validateFileSize(file); - } catch(err) { - reject(err); - } - const dataFolder = '../uploads/data/'; - //create /data folder if it doesnt exist - if (!fs.existsSync('../uploads/data')) { - fs.mkdirSync('../uploads/data', { recursive: true }); - } - const filenames = fs.readdirSync(dataFolder); - - const getNewName = async (name) => { - var tempName = name - for (let count = 1; ( await getDbCount(tempName) || getFsCount(tempName)!=0 ); count++) { - if (name.split('.')[1]) { - tempName = `${name.split('.')[0]}_${count}.${name.split('.')[1]}`; - } else { - tempName = `${name.split('.')[0]}_${count}`; - } + if (!files) { + return res.status(400).json({ err: "No files to be uploaded" }); + } + + //create /uploads folder if it doesnt exist + if (!fs.existsSync("../uploads")) { + fs.mkdirSync("../uploads", { recursive: true }); + } + + let baseFolder = `/data`; + + const data = []; + + let promises = files.map((file, index) => { + return new Promise(async (resolve, reject) => { + if ( + !VALID_MIME_TYPES.includes(file.mimetype) && + !file.mimetype.startsWith("image/") && + !file.mimetype.startsWith("text/x-python") + ) { + return reject("Invalid mimetype: " + file.mimetype); + } + try { + validateFileSize(file); + } catch (err) { + reject(err); + } + const dataFolder = "../uploads/data/"; + //create /data folder if it doesnt exist + if (!fs.existsSync("../uploads/data")) { + fs.mkdirSync("../uploads/data", { recursive: true }); + } + const filenames = fs.readdirSync(dataFolder); + + const getNewName = async (name) => { + var tempName = name; + for ( + let count = 1; + (await getDbCount(tempName)) || getFsCount(tempName) != 0; + count++ + ) { + if (name.split(".")[1]) { + tempName = `${name.split(".")[0]}_${count}.${name.split(".")[1]}`; + } else { + tempName = `${name.split(".")[0]}_${count}`; } - return await tempName } - - const getDbCount = (tempName) => { - return new Promise((resolve, reject) => { - DatasetModel.findOne({name: tempName}, function (err, result) { - if (err) { - reject(err); - } + return await tempName; + }; + + const getDbCount = (tempName) => { + return new Promise((resolve, reject) => { + DatasetModel.exists({ name: tempName }) + .then((result) => { if (!result) { resolve(false); } else { resolve(true); } }) - }) - } - - const getFsCount = (tempName) => { - return filenames.filter(f => f === tempName).length; - } - - let folder = baseFolder - let subfolder = myFolders?_.isArray(myFolders)?myFolders[index]:myFolders:null; - let folderCreated = null; - - if (myFolder) { - // check if folder with same name alreay exists, rename folder and its file/ subfolder paths - var newFolderName = await getNewName(myFolder); - let newSubfolder = subfolder.replace(myFolder, newFolderName) - const joinedPath = path.join(baseFolder, newSubfolder); - folder = `${joinedPath}`; - var newFileName = file.filename; - let uploadFolder = path.join("../uploads", baseFolder, newFolderName); // newFolderName is generated based on already sanitized myFolder - let folderPath = path.resolve(uploadFolder); - if (!fs.existsSync(uploadFolder)) { // only add folderCreated once per folder upload - fs.mkdirSync(uploadFolder, {recursive: true}); - folderCreated = { - // subFolderOf: path.basename( path.dirname(folderPath)), - folderName: newFolderName, - filePath: folderPath, - stat: fs.statSync(uploadFolder), - }; - } - } else { - // check for individual duplicated file names - var newFileName = await getNewName(file.filename); - } - let uploadSubfolder = path.join("../uploads", folder); + .catch((err) => { + reject(err); + }); + }); + }; + + const getFsCount = (tempName) => { + return filenames.filter((f) => f === tempName).length; + }; - if (!fs.existsSync(uploadSubfolder)) { - fs.mkdirSync(uploadSubfolder, {recursive: true}); + let folder = baseFolder; + let subfolder = myFolders + ? _.isArray(myFolders) + ? myFolders[index] + : myFolders + : null; + let folderCreated = null; + + if (myFolder) { + // check if folder with same name alreay exists, rename folder and its file/ subfolder paths + var newFolderName = await getNewName(myFolder); + let newSubfolder = subfolder.replace(myFolder, newFolderName); + const joinedPath = path.join(baseFolder, newSubfolder); + folder = `${joinedPath}`; + var newFileName = file.filename; + let uploadFolder = path.join("../uploads", baseFolder, newFolderName); // newFolderName is generated based on already sanitized myFolder + let folderPath = path.resolve(uploadFolder); + if (!fs.existsSync(uploadFolder)) { + // only add folderCreated once per folder upload + fs.mkdirSync(uploadFolder, { recursive: true }); + folderCreated = { + // subFolderOf: path.basename( path.dirname(folderPath)), + folderName: newFolderName, + filePath: folderPath, + stat: fs.statSync(uploadFolder), + }; } - - let uploadPath = path.resolve(uploadSubfolder, newFileName); - // changed rename to copyFile as src and dst reside in different filesystems in docker env. - fs.copyFileSync(file.path, uploadPath); - fs.unlinkSync(file.path); - let stat = fs.statSync(uploadPath); - - resolve({file, subfolder, stat, uploadPath, folderCreated, newFileName}); - }) - }) + } else { + // check for individual duplicated file names + var newFileName = await getNewName(file.filename); + } + let uploadSubfolder = path.join("../uploads", folder); + + if (!fs.existsSync(uploadSubfolder)) { + fs.mkdirSync(uploadSubfolder, { recursive: true }); + } - Promise.allSettled(promises).then(async results => { + let uploadPath = path.resolve(uploadSubfolder, newFileName); + + const relativePath = path.relative(uploadSubfolder, uploadPath); + if (relativePath.startsWith(".")) { + return reject("Invalid file path"); + } + + // changed rename to copyFile as src and dst reside in different filesystems in docker env. + fs.copyFileSync(file.path, uploadPath); + fs.unlinkSync(file.path); + let stat = fs.statSync(uploadPath); + + resolve({ + file, + subfolder, + stat, + uploadPath, + folderCreated, + newFileName, + }); + }); + }); + + Promise.allSettled(promises) + .then(async (results) => { let numSuccess = 0; // console.log("Results is:", results); for (let result of results) { - if (result.status === 'rejected') { + if (result.status === "rejected") { console.log(result.reason); continue; } let value = result.value; if (value.folderCreated) { - const newFolderObj = new DatasetModel({ + const newFolderObj = new DatasetModel({ name: value.folderCreated.folderName, filename: value.folderCreated.folderName, filePath: value.folderCreated.filePath, @@ -267,17 +322,16 @@ router.post('/data', upload.array('myFiles'), async function (req, res, next) { type: "Folder", ctime: value.folderCreated.stat.ctime, }); - await newFolderObj.save(function (err, product, numAffected) { - console.log("Folder saved: ", product); - }); - queueDataset(newFolderObj) - data.push(newFolderObj) + await newFolderObj.save(); + // Send validation request to backend + queueDataset(newFolderObj); + data.push(newFolderObj); numSuccess++; } else { - if ((value.subfolder == '') || (value.subfolder == null)){ + if (value.subfolder == "" || value.subfolder == null) { //create file objects and send files for validation - const fileSize = formatBytes(value.file.size) - const newObj = new DatasetModel({ + const fileSize = formatBytes(value.file.size); + const newObj = new DatasetModel({ name: value.newFileName, filename: value.newFileName, filePath: value.uploadPath, @@ -290,229 +344,260 @@ router.post('/data', upload.array('myFiles'), async function (req, res, next) { errorMessages: "", type: "File", }); - await newObj.save(function (err, product, numAffected) { - console.log("Saved: ", product); - }); - - queueDataset(newObj) - data.push(newObj) + await newObj.save(); + + queueDataset(newObj); + data.push(newObj); numSuccess++; } } - } - if (numSuccess > 0){ - console.log("numsuccess is: ", numSuccess); + if (numSuccess > 0) { + // console.log("numsuccess is: ", numSuccess); res.status(201).json(data); - } - else { - console.log("numsuccess is: ", numSuccess); + } else { + // console.log("numsuccess is: ", numSuccess); res.status(400).json({ err: "All uploads failed" }); } - - }).catch(err => { - res.status(400).json({ err: "File Upload Error:", err}); }) - -}); - - - + .catch((err) => { + res.status(400).json({ err: "File Upload Error:", err }); + }); + } +); /** * Route /api/upload/model */ -router.post('/model', upload.array('myModelFiles'), async function (req, res, next) { - - const files = req.files - const myFolders = req.body.myModelFolders; - const myFolder = req.body.myModelFolder; - const myModelTypes = req.body.myModelType; - const myFolderModelType = req.body.myFolderModelType; - - if (myFolder) { - try { - validateAndSanitize(myFolder); - } catch (err) { - return res.sendStatus(500).json({ err }); +router.post( + "/model", + limiter, + upload.array("myModelFiles"), + async function (req, res, next) { + const files = req.files; + const myFolders = req.body.myModelFolders; + const myFolder = req.body.myModelFolder; + const myModelTypes = req.body.myModelType; + const myFolderModelType = req.body.myFolderModelType; + + if (myFolder) { + if (!myFolders) { + return res.status(500).json({ err: "Invalid folder name" }); + } + + try { + validateAndSanitize(myFolder); + if (_.isArray(myFolders)) { + for (const folderName of myFolders) { + validateAndSanitize(folderName); } + } else { + validateAndSanitize(myFolders); } + } catch (err) { + return res.status(500).json({ err }); + } + } - if (!files) { - return res.sendStatus(400).json({ err: "No files to be uploaded"}); - } + if (!files) { + return res.status(400).json({ err: "No files to be uploaded" }); + } - //create /uploads folder if it doesnt exist - if (!fs.existsSync('../uploads')) { - fs.mkdirSync('../uploads', { recursive: true }); - } - - let baseFolder = `/model`; + //create /uploads folder if it doesnt exist + if (!fs.existsSync("../uploads")) { + fs.mkdirSync("../uploads", { recursive: true }); + } - const data = []; + let baseFolder = `/model`; - let promises = files.map((file,index) => { - return new Promise(async (resolve, reject) => { - try { - validateFileSize(file); - } catch(err) { - reject(err); - } - const dataFolder = '../uploads/model/'; - //create /model folder if it doesnt exist - if (!fs.existsSync('../uploads/model')) { - fs.mkdirSync('../uploads/model', { recursive: true }); + const data = []; + + let promises = files.map((file, index) => { + return new Promise(async (resolve, reject) => { + if (!VALID_MIME_TYPES.includes(file.mimetype) && !file.mimetype.startsWith("text/x-python")) { + return reject("Invalid mimetype: " + file.mimetype); + } + try { + validateFileSize(file); + } catch (err) { + reject(err); + } + const dataFolder = "../uploads/model/"; + //create /model folder if it doesnt exist + if (!fs.existsSync("../uploads/model")) { + fs.mkdirSync("../uploads/model", { recursive: true }); + } + const filenames = fs.readdirSync(dataFolder); + + const getNewName = async (name) => { + var tempName = name; + for ( + let count = 1; + (await getDbCount(tempName)) || getFsCount(tempName) != 0; + count++ + ) { + if (name.split(".")[1]) { + tempName = `${name.split(".")[0]}_${count}.${name.split(".")[1]}`; + } else { + tempName = `${name.split(".")[0]}_${count}`; } - const filenames = fs.readdirSync(dataFolder); + } + return await tempName; + }; - const getNewName = async (name) => { - var tempName = name - for (let count = 1; ( await getDbCount(tempName) || getFsCount(tempName)!=0 ); count++) { - if (name.split('.')[1]) { - tempName = `${name.split('.')[0]}_${count}.${name.split('.')[1]}`; + const getDbCount = (tempName) => { + return new Promise((resolve, reject) => { + ModelFileModel.exists({ name: tempName }) + .then((result) => { + if (!result) { + resolve(false); } else { - tempName = `${name.split('.')[0]}_${count}`; + resolve(true); } - } - return await tempName - } - - const getDbCount = (tempName) => { - return new Promise((resolve, reject) => { - ModelFileModel.findOne({name: tempName}, function (err, result) { - if (err) { - reject(err); - } - if (!result) { - resolve(false); - } else { - resolve(true); - } - }) }) - } - - const getFsCount = (tempName) => { - return filenames.filter(f => f === tempName).length; - } + .catch((err) => { + reject(err); + }); + }); + }; - let folder = baseFolder - let subfolder = myFolders?_.isArray(myFolders)?myFolders[index]:myFolders:null; - let folderCreated = null; - - if (myFolder) { - // check if folder with same name alreay exists, rename folder and its file/ subfolder paths - var newFolderName = await getNewName(myFolder); - let newSubfolder = subfolder.replace(myFolder, newFolderName) - const joinedPath = path.join(baseFolder, newSubfolder); - folder = `${joinedPath}`; - var newFileName = file.filename; - let uploadFolder = path.join("../uploads", baseFolder, newFolderName); // newFolderName is generated based on already sanitized myFolder - let folderPath = path.resolve(uploadFolder); - if (!fs.existsSync(uploadFolder)) { // only add folderCreated once per folder upload - fs.mkdirSync(uploadFolder, {recursive: true}); - folderCreated = { - // subFolderOf: path.basename( path.dirname(folderPath)), - folderName: newFolderName, - filePath: folderPath, - stat: fs.statSync(uploadFolder), - myFolderModelType: myFolderModelType, - }; - } - } else { - // check for individual duplicated file names - var newFileName = await getNewName(file.filename); - } - let uploadSubfolder = path.join("../uploads", folder); - - if (!fs.existsSync(uploadSubfolder)) { - fs.mkdirSync(uploadSubfolder, {recursive: true}); - } - - let uploadPath = path.resolve(uploadSubfolder, newFileName); - // using copyFile instead of rename as src and dest folder reside in different filesystem in docker env. - fs.copyFileSync(file.path, uploadPath); - fs.unlinkSync(file.path); - let stat = fs.statSync(uploadPath); - - if ( Array.isArray(myModelTypes) ) { - var myModelType = myModelTypes[index] - } else { - var myModelType = myModelTypes - } + const getFsCount = (tempName) => { + return filenames.filter((f) => f === tempName).length; + }; - resolve({file, subfolder, stat, uploadPath, folderCreated, newFileName, myModelType}); - }) - }) - - Promise.allSettled(promises).then(async results => { - let numSuccess = 0; - - for (let result of results) { - if (result.status === 'rejected') { - console.log(result.reason); - continue; - } - let value = result.value; - if (value.folderCreated) { - const newFolderObj = new ModelFileModel({ - name: value.folderCreated.folderName, - filename: value.folderCreated.folderName, - filePath: value.folderCreated.filePath, - status: "Pending", - modelType: value.folderCreated.myFolderModelType, - type: (req.body.type == "pipeline")?"Pipeline":"Folder", - ctime: value.folderCreated.stat.ctime, - }); - - await newFolderObj.save(function (err, product, numAffected) { - console.log("Folder saved: ", product); - }) - queueModel(newFolderObj) ; - data.push(newFolderObj); - numSuccess++; - } else { - if((value.subfolder == '') || (value.subfolder == null)) { - //create file objects and send files for validation - const fileSize = formatBytes(value.file.size) - const newObj = new ModelFileModel({ - name: value.newFileName, - filename: value.newFileName, - filePath: value.uploadPath, - description: "", - status: "Pending", - size: fileSize, - ctime: value.stat.ctime, - serializer: "", - modelType: value.myModelType, - modelFormat: "", - errorMessages: "", - type: "File", - }); - await newObj.save(function (err, product, numAffected) { - console.log("Saved: ", product); - }) - queueModel(newObj) - data.push(newObj) - numSuccess++; - } - } + let folder = baseFolder; + let subfolder = myFolders + ? _.isArray(myFolders) + ? myFolders[index] + : myFolders + : null; + let folderCreated = null; + + if (myFolder) { + // check if folder with same name alreay exists, rename folder and its file/ subfolder paths + var newFolderName = await getNewName(myFolder); + let newSubfolder = subfolder.replace(myFolder, newFolderName); + const joinedPath = path.join(baseFolder, newSubfolder); + folder = `${joinedPath}`; + var newFileName = file.filename; + let uploadFolder = path.join("../uploads", baseFolder, newFolderName); // newFolderName is generated based on already sanitized myFolder + let folderPath = path.resolve(uploadFolder); + if (!fs.existsSync(uploadFolder)) { + // only add folderCreated once per folder upload + fs.mkdirSync(uploadFolder, { recursive: true }); + folderCreated = { + // subFolderOf: path.basename( path.dirname(folderPath)), + folderName: newFolderName, + filePath: folderPath, + stat: fs.statSync(uploadFolder), + myFolderModelType: myFolderModelType, + }; } - - if (numSuccess > 0){ - console.log("numsuccess is: ", numSuccess); - res.status(201).json(data); + } else { + // check for individual duplicated file names + var newFileName = await getNewName(file.filename); + } + let uploadSubfolder = path.join("../uploads", folder); + + if (!fs.existsSync(uploadSubfolder)) { + fs.mkdirSync(uploadSubfolder, { recursive: true }); + } + + let uploadPath = path.resolve(uploadSubfolder, newFileName); + + const relativePath = path.relative(uploadSubfolder, uploadPath); + if (relativePath.startsWith(".")) { + return reject("Invalid file path"); + } + + // using copyFile instead of rename as src and dest folder reside in different filesystem in docker env. + fs.copyFileSync(file.path, uploadPath); + fs.unlinkSync(file.path); + let stat = fs.statSync(uploadPath); + + if (Array.isArray(myModelTypes)) { + var myModelType = myModelTypes[index]; + } else { + var myModelType = myModelTypes; + } + + resolve({ + file, + subfolder, + stat, + uploadPath, + folderCreated, + newFileName, + myModelType, + }); + }); + }); + + Promise.allSettled(promises) + .then(async (results) => { + let numSuccess = 0; + + for (let result of results) { + if (result.status === "rejected") { + console.log(result.reason); + continue; + } + let value = result.value; + if (value.folderCreated) { + const newFolderObj = new ModelFileModel({ + name: value.folderCreated.folderName, + filename: value.folderCreated.folderName, + filePath: value.folderCreated.filePath, + status: "Pending", + modelType: value.folderCreated.myFolderModelType, + type: req.body.type == "pipeline" ? "Pipeline" : "Folder", + ctime: value.folderCreated.stat.ctime, + }); + + await newFolderObj.save(); + queueModel(newFolderObj); + data.push(newFolderObj); + numSuccess++; } else { - console.log("numsuccess is: ", numSuccess); - res.status(400).json({ err: "All uploads failed" }); + if (value.subfolder == "" || value.subfolder == null) { + //create file objects and send files for validation + const fileSize = formatBytes(value.file.size); + const newObj = new ModelFileModel({ + name: value.newFileName, + filename: value.newFileName, + filePath: value.uploadPath, + description: "", + status: "Pending", + size: fileSize, + ctime: value.stat.ctime, + serializer: "", + modelType: value.myModelType, + modelFormat: "", + errorMessages: "", + type: "File", + }); + await newObj.save(); + // Send validation request to backend + queueModel(newObj); + data.push(newObj); + numSuccess++; + } } - - }).catch(err => { - res.status(400).json({ err: "File Upload Error:", err}); - }) + } - }); - + if (numSuccess > 0) { + // console.log("numsuccess is: ", numSuccess); + res.status(201).json(data); + } else { + // console.log("numsuccess is: ", numSuccess); + res.status(400).json({ err: "All uploads failed" }); + } + }) + .catch((err) => { + res.status(400).json({ err: "File Upload Error:", err }); + }); + } +); - export default router; \ No newline at end of file +export default router; diff --git a/ai-verify-apigw/testutil/globalSetup.mjs b/ai-verify-apigw/testutil/globalSetup.mjs index e75a4fbe4..abed00ba7 100644 --- a/ai-verify-apigw/testutil/globalSetup.mjs +++ b/ai-verify-apigw/testutil/globalSetup.mjs @@ -1,10 +1,38 @@ import { MongoMemoryServer } from 'mongodb-memory-server'; +import casual from 'casual'; export default async function globalSetup() { // it's needed in global space, because we don't want to create a new instance every test-suite - const instance = await MongoMemoryServer.create(); + const instance = await MongoMemoryServer.create({ + instance: { + auth: true, + }, + auth: { + enable: true, + extraUsers: [{ + createUser: "aiverify", + pwd: casual.password, + roles: [ + { role: 'readWrite', db: 'aiverify' }, + ], + database: 'aiverify', + }] + } + }); + const instanceInfo = instance.instanceInfo; + // console.log("auth", instance.auth) const uri = instance.getUri(); + // console.log("uri", uri) global.__MONGOINSTANCE = instance; - process.env.DB_URI = uri.slice(0, uri.lastIndexOf('/')); + process.env.DB_USERNAME = instance.auth.extraUsers[0].createUser; + process.env.DB_PASSWORD = instance.auth.extraUsers[0].pwd; + process.env.DB_HOST = instanceInfo.ip; + process.env.DB_PORT = instanceInfo.port; + const DB_URI = `mongodb://${process.env.DB_USERNAME}:${process.env.DB_PASSWORD}@${process.env.DB_HOST}:${process.env.DB_PORT}/aiverify`; + process.env.DB_URI = DB_URI; // console.log("globalSetup DB_URI", process.env.DB_URI) + // console.log("globalSetup DB_USERNAME", process.env.DB_USERNAME) + // console.log("globalSetup DB_PASSWORD", process.env.DB_PASSWORD) + // console.log("globalSetup DB_HOST", process.env.DB_HOST) + // console.log("globalSetup DB_PORT", process.env.DB_PORT) }; \ No newline at end of file diff --git a/ai-verify-apigw/testutil/mockData.mjs b/ai-verify-apigw/testutil/mockData.mjs index 69452902d..b23a478e0 100644 --- a/ai-verify-apigw/testutil/mockData.mjs +++ b/ai-verify-apigw/testutil/mockData.mjs @@ -3,7 +3,7 @@ import casual from "casual"; import mongoose from "mongoose"; casual.define("ObjectId", function () { - return mongoose.Types.ObjectId().toString(); + return new mongoose.Types.ObjectId().toString(); }); casual.define("randomString", function (len) { diff --git a/ai-verify-apigw/testutil/setupJest.mjs b/ai-verify-apigw/testutil/setupJest.mjs index 4614e4739..94397f496 100644 --- a/ai-verify-apigw/testutil/setupJest.mjs +++ b/ai-verify-apigw/testutil/setupJest.mjs @@ -1,10 +1,11 @@ import {jest} from '@jest/globals' import mongoose from 'mongoose'; +// import mongoose from '#lib/mongodb'; beforeAll(async () => { // set up connection to mongodb // console.debug(`Connecting to ${process.env.DB_URI}`); - await mongoose.connect(process.env.DB_URI, {useNewUrlParser: true}); + await mongoose.connect(process.env.DB_URI, {}); // mock apollo pub sub jest.unstable_mockModule("#lib/apolloPubSub.mjs", () => { return import('#mocks/lib/apolloPubSub.mjs'); diff --git a/ai-verify-portal/package-lock.json b/ai-verify-portal/package-lock.json index c0ceb1e3f..124ea3d21 100644 --- a/ai-verify-portal/package-lock.json +++ b/ai-verify-portal/package-lock.json @@ -26,7 +26,7 @@ "@rjsf/utils": "^5.0.0-beta.14", "@rjsf/validator-ajv8": "^5.0.0-beta.14", "adm-zip": "^0.5.10", - "axios": "1.6.2", + "axios": "^1.6.7", "clsx": "^1.2.1", "esbuild": "^0.14.54", "formidable": "^2.1.1", @@ -4543,11 +4543,11 @@ } }, "node_modules/axios": { - "version": "1.6.2", - "resolved": "https://registry.npmjs.org/axios/-/axios-1.6.2.tgz", - "integrity": "sha512-7i24Ri4pmDRfJTR7LDBhsOTtcm+9kjX5WiY1X3wIisx6G9So3pfMkEiU7emUBe46oceVImccTEM3k6C5dbVW8A==", + "version": "1.6.7", + "resolved": "https://registry.npmjs.org/axios/-/axios-1.6.7.tgz", + "integrity": "sha512-/hDJGff6/c7u0hDkvkGxR/oy6CbCs8ziCsC7SqmhjfozqiJGc8Z11wrv9z9lYfY4K8l+H9TpjcMDX0xOZmx+RA==", "dependencies": { - "follow-redirects": "^1.15.0", + "follow-redirects": "^1.15.4", "form-data": "^4.0.0", "proxy-from-env": "^1.1.0" } @@ -6478,14 +6478,15 @@ "license": "ISC" }, "node_modules/follow-redirects": { - "version": "1.15.2", + "version": "1.15.5", + "resolved": "https://registry.npmjs.org/follow-redirects/-/follow-redirects-1.15.5.tgz", + "integrity": "sha512-vSFWUON1B+yAw1VN4xMfxgn5fTUiaOzAJCKBwIIgT/+7CuGy9+r+5gITvP62j3RmaD5Ph65UaERdOSRGUzZtgw==", "funding": [ { "type": "individual", "url": "https://github.com/sponsors/RubenVerborgh" } ], - "license": "MIT", "engines": { "node": ">=4.0" }, diff --git a/ai-verify-portal/package.json b/ai-verify-portal/package.json index f590ea191..f1a26f6dc 100644 --- a/ai-verify-portal/package.json +++ b/ai-verify-portal/package.json @@ -53,7 +53,7 @@ "@rjsf/utils": "^5.0.0-beta.14", "@rjsf/validator-ajv8": "^5.0.0-beta.14", "adm-zip": "^0.5.10", - "axios": "1.6.2", + "axios": "^1.6.7", "clsx": "^1.2.1", "esbuild": "^0.14.54", "formidable": "^2.1.1", diff --git a/ai-verify-portal/src/modules/reportStatus/api/report.ts b/ai-verify-portal/src/modules/reportStatus/api/report.ts index 6a11e9400..804a6823d 100644 --- a/ai-verify-portal/src/modules/reportStatus/api/report.ts +++ b/ai-verify-portal/src/modules/reportStatus/api/report.ts @@ -32,7 +32,7 @@ const GET_REPORT = gql` } `; export async function getReport(projectID: string): Promise { - const client = graphqlClient(true); + const client = graphqlClient(); const { data } = await client.query({ query: GET_REPORT, variables: { diff --git a/setup-aiverify/aiverify-dev/setup-aiverify-dev.sh b/setup-aiverify/aiverify-dev/setup-aiverify-dev.sh index 86cc55ff8..8527a6fab 100644 --- a/setup-aiverify/aiverify-dev/setup-aiverify-dev.sh +++ b/setup-aiverify/aiverify-dev/setup-aiverify-dev.sh @@ -44,6 +44,9 @@ machine_arch=$(uname -m) sudo apt update +# Install libmagicwand for Environment Corruption +sudo apt-get install libmagickwand-dev -y + ########### Chromium ############# if [[ "$machine_arch" == "aarch64" ]]; then @@ -82,19 +85,22 @@ sudo systemctl restart redis-server.service echo "========================= Installing mongodb ============================" if mongod --version &>/dev/null; then - while true; do - echo - read -p "Mongodb detected, have you created the db and user required by aiverify? [y/n] " yn - case $yn in - [Yy]* ) read -p "Enter DB AIVerify Username: " DB_USERNAME - read -p "Enter DB AIVerify Password: " DB_PASSWORD - echo - break;; - [Nn]* ) echo "aiverify developer setup aborted, please create the required db and user as instructed in the developer guide"; - exit;; - * ) echo "Please answer yes or no.";; - esac - done + echo "mongodb detected, skipping mongodb installation" + if [ -z "$DB_USERNAME" ] && [ -z "$DB_PASSWORD" ]; then + while true; do + echo + read -p "Have you created the db and user required by aiverify? [y/n] " yn + case $yn in + [Yy]* ) read -p "Enter aiverify DB username: " DB_USERNAME + read -p "Enter aiverify DB password: " DB_PASSWORD + echo + break;; + [Nn]* ) echo "aiverify developer setup aborted, please create the required db and user as instructed in the developer guide"; + exit;; + * ) echo "Please answer yes or no.";; + esac + done + fi else echo "Installing mongodb..." wget -nc https://www.mongodb.org/static/pgp/server-6.0.asc @@ -102,15 +108,18 @@ else sudo sh -c 'echo "deb [ arch=amd64,arm64 signed-by=/etc/apt/keyrings/mongodb.gpg] https://repo.mongodb.org/apt/ubuntu jammy/mongodb-org/6.0 multiverse" >> /etc/apt/sources.list.d/mongo.list' sudo apt update sudo apt install -y mongodb-org - sudo systemctl start mongod sleep 2 - read -p "Enter new DB Admin User: " DB_ADMIN_USER - read -p "Enter new DB Admin Password: " DB_ADMIN_PASSWORD - echo - read -p "Enter new DB AIVerify Username: " DB_USERNAME - read -p "Enter new DB AIVerify Password: " DB_PASSWORD - echo + + if [ -z "$DB_ADMIN_PASSWORD" ] && [ -z "$DB_PASSWORD" ]; then + read -p "Enter new admin DB user: " DB_ADMIN_USER + read -p "Enter new admin DB password: " DB_ADMIN_PASSWORD + echo + read -p "Enter new aiverify DB username: " DB_USERNAME + read -p "Enter new aiverify DB password: " DB_PASSWORD + echo + fi + mongosh << EOF admin = db.getSiblingDB('admin') admin.createUser({ @@ -141,7 +150,7 @@ sudo apt install unzip sudo apt install -y python3.11-venv -git clone https://github.com/imda-btg/aiverify.git --branch=v0.10.x +git clone https://github.com/imda-btg/aiverify.git --branch=main cd aiverify ############ Node ############ diff --git a/setup-aiverify/aiverify-user/Dockerfile b/setup-aiverify/aiverify-user/Dockerfile index 6f0505918..ab725e127 100644 --- a/setup-aiverify/aiverify-user/Dockerfile +++ b/setup-aiverify/aiverify-user/Dockerfile @@ -58,9 +58,13 @@ RUN apt-get install npm -y # For shap-toolbox stock plugin RUN apt-get install -y gcc g++ python3.11-dev +# Install libmagicwand for Environment Corruption +RUN apt-get install libmagickwand-dev -y + # Install Git RUN apt-get install -y git +# Install Unzip RUN apt-get install unzip ################### Create aiverify user ###################### @@ -71,7 +75,7 @@ RUN useradd -u 10000 -g 10000 -ms /bin/bash $USER ################### Clone aiverify repo ###################### -ARG BRANCH_TAG=v0.10.x +ARG BRANCH_TAG=main RUN echo "BRANCH_TAG=$BRANCH_TAG" WORKDIR /app RUN git clone https://github.com/imda-btg/aiverify.git --branch=$BRANCH_TAG aiverify @@ -115,9 +119,9 @@ WORKDIR /app/aiverify/ai-verify-apigw # User entered username and password (in docker-start.sh) override these env values. ENV DB_USERNAME="aiverify" -ENV DB_PASSWORD="aiverify" +ENV DB_PASSWORD="t1oj5L_xQI8dTrVuZ" -ARG ALLOWED_ORIGINS=http://localhost:3000,http://localhost:4000 +ENV ALLOWED_ORIGINS=http://localhost:3000,http://localhost:4000 RUN echo "ALLOWED_ORIGINS=${ALLOWED_ORIGINS}" RUN echo "REDIS_HOST=redis\n\ REDIS_PORT=6379\n\ diff --git a/setup-aiverify/aiverify-user/docker-build.sh b/setup-aiverify/aiverify-user/docker-build.sh index bab12be2c..8dbca7a9d 100755 --- a/setup-aiverify/aiverify-user/docker-build.sh +++ b/setup-aiverify/aiverify-user/docker-build.sh @@ -1,3 +1,3 @@ #!/bin/bash -docker build ${@:1} -t aiverify:0.10.1 . +docker build ${@:1} -t aiverify:0.10 . diff --git a/setup-aiverify/aiverify-user/docker-compose.yml b/setup-aiverify/aiverify-user/docker-compose.yml index 9f2264860..8935c6250 100644 --- a/setup-aiverify/aiverify-user/docker-compose.yml +++ b/setup-aiverify/aiverify-user/docker-compose.yml @@ -20,7 +20,7 @@ services: MONGO_INITDB_ROOT_PASSWORD: '${MONGO_ROOT_PASSWORD:-mongodb}' MONGO_INITDB_DATABASE: admin MONGO_AIVERIFY_USER: '${DB_AIVERIFY_USER:-aiverify}' - MONGO_AIVERIFY_PASSWORD: '${DB_AIVERIFY_PASSWORD:-aiverify}' + MONGO_AIVERIFY_PASSWORD: '${DB_AIVERIFY_PASSWORD:-t1oj5L_xQI8dTrVuZ}' user: '${CUR_UID}:${CUR_GID}' volumes: - ~/data/db:/data/db @@ -31,7 +31,9 @@ services: # backend - test-engine test-engine: - image: aiverify:0.10.1 + image: aiverify:0.10 + extra_hosts: + - "host.docker.internal:host-gateway" restart: always depends_on: - redis @@ -47,13 +49,17 @@ services: # frontend - portal & apigw portal: - image: aiverify:0.10.1 + image: aiverify:0.10 + extra_hosts: + - "host.docker.internal:host-gateway" environment: DB_USERNAME: '${DB_AIVERIFY_USER:-aiverify}' - DB_PASSWORD: '${DB_AIVERIFY_PASSWORD:-aiverify}' + DB_PASSWORD: '${DB_AIVERIFY_PASSWORD:-t1oj5L_xQI8dTrVuZ}' + ALLOWED_ORIGINS: http://localhost:3000,http://localhost:4000,http://127.0.0.1:3000,http://127.0.0.1:4000 ports: - "3000:3000" - - "4000:4000" + expose: + - "4000" depends_on: - redis - db diff --git a/stock-plugins/aiverify.stock.accumulated-local-effect/algorithms/accumulated_local_effect/accumulated_local_effect.meta.json b/stock-plugins/aiverify.stock.accumulated-local-effect/algorithms/accumulated_local_effect/accumulated_local_effect.meta.json index c28eacc96..a4572273a 100755 --- a/stock-plugins/aiverify.stock.accumulated-local-effect/algorithms/accumulated_local_effect/accumulated_local_effect.meta.json +++ b/stock-plugins/aiverify.stock.accumulated-local-effect/algorithms/accumulated_local_effect/accumulated_local_effect.meta.json @@ -5,7 +5,7 @@ "classification", "regression" ], - "version": "0.9.0", + "version": "0.10.0", "author": "AI Verify", "description": "This algorithm explains how each feature and its feature value contribute to the predictions.", "tags": [ diff --git a/stock-plugins/aiverify.stock.accumulated-local-effect/algorithms/accumulated_local_effect/accumulated_local_effect.py b/stock-plugins/aiverify.stock.accumulated-local-effect/algorithms/accumulated_local_effect/accumulated_local_effect.py index 1f1179320..e83d1c31c 100644 --- a/stock-plugins/aiverify.stock.accumulated-local-effect/algorithms/accumulated_local_effect/accumulated_local_effect.py +++ b/stock-plugins/aiverify.stock.accumulated-local-effect/algorithms/accumulated_local_effect/accumulated_local_effect.py @@ -372,14 +372,22 @@ def _compute_ale_continuous( # left is the lower interval, Right is the upper interval z_lower[feature_name] = [bins[i] for i in feat_bins.cat.codes] z_higher[feature_name] = [bins[i + 1] for i in feat_bins.cat.codes] - + # with the data points replaced with the intervals # now we can run the predictions for both intervals - prediction_lower_bound = self._model_instance.predict([z_lower], dict_items_labels) - prediction_higher_bound = self._model_instance.predict([z_higher], dict_items_labels) + prediction_lower_bound = self._model_instance.predict( + [z_lower], dict_items_labels + ) + prediction_higher_bound = self._model_instance.predict( + [z_higher], dict_items_labels + ) - prediction_lower_bound = np.array([eval(str(i)) for i in prediction_lower_bound]) - prediction_higher_bound = np.array([eval(str(i)) for i in prediction_higher_bound]) + prediction_lower_bound = np.array( + [eval(str(i)) for i in prediction_lower_bound] + ) + prediction_higher_bound = np.array( + [eval(str(i)) for i in prediction_higher_bound] + ) # collect the unique bin values, so we can do a mean prediction later within the intervals results[feature_name] = [bins[b + 1] for b in feat_bins.cat.codes] @@ -510,9 +518,8 @@ def _compute_ale_discrete( z = self._model_instance.predict([data], dict_items_labels) z_upper_prediction = np.array([eval(str(i)) for i in z_upper_prediction]) - z_lower_prediction = np.array([eval(str(i)) for i in z_lower_prediction]) - z = np.array([eval(str(i)) for i in z]) - + z_lower_prediction = np.array([eval(str(i)) for i in z_lower_prediction]) + z = np.array([eval(str(i)) for i in z]) # calculate the mean prediction difference upper_diff = z_upper_prediction - z[data_remove_last_group] lower_diff = z[data_remove_first_group] - z_lower_prediction diff --git a/stock-plugins/aiverify.stock.accumulated-local-effect/algorithms/accumulated_local_effect/poetry.lock b/stock-plugins/aiverify.stock.accumulated-local-effect/algorithms/accumulated_local_effect/poetry.lock index 674409372..52eaa1dd2 100644 --- a/stock-plugins/aiverify.stock.accumulated-local-effect/algorithms/accumulated_local_effect/poetry.lock +++ b/stock-plugins/aiverify.stock.accumulated-local-effect/algorithms/accumulated_local_effect/poetry.lock @@ -1,88 +1,107 @@ -# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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"version": "0.9.0", + "version": "0.10.0", "name": "Accumulated Local Effect", "author": "AI Verify", "description": "This plugin explains how each feature and its feature value contribute to the predictions." diff --git a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/algorithms/fairness_metrics_toolbox_for_classification/fairness_metrics_toolbox_for_classification.py b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/algorithms/fairness_metrics_toolbox_for_classification/fairness_metrics_toolbox_for_classification.py index e286cb559..e88e1f634 100644 --- a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/algorithms/fairness_metrics_toolbox_for_classification/fairness_metrics_toolbox_for_classification.py +++ b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/algorithms/fairness_metrics_toolbox_for_classification/fairness_metrics_toolbox_for_classification.py @@ -481,11 +481,9 @@ def _predict_data(self) -> np.ndarray: # list of tuple of labels to be passed into predict() dict_items_labels = self._data_instance.read_labels().items() - predicted_data = self._model.predict( - [self._data], dict_items_labels - ) + predicted_data = self._model.predict([self._data], dict_items_labels) return [eval(str(i)) for i in predicted_data] - + def _compute_between_group( self, data_ground_truth_np: np.ndarray, @@ -811,4 +809,4 @@ def _format_result(self, results: dict, output_classes: np.ndarray) -> dict: "output_classes": list_output_classes, "results": output_class_data_list, } - return output_dict \ No newline at end of file + return output_dict diff --git a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/algorithms/fairness_metrics_toolbox_for_classification/plugin.meta.json b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/algorithms/fairness_metrics_toolbox_for_classification/plugin.meta.json index 6effba709..cf10e78d3 100755 --- a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/algorithms/fairness_metrics_toolbox_for_classification/plugin.meta.json +++ b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/algorithms/fairness_metrics_toolbox_for_classification/plugin.meta.json @@ -1,6 +1,6 @@ { "gid": "aiverify.stock.fairness_metrics_toolbox_for_classification", - "version": "0.9.0", + "version": "0.10.0", "name": "fairness metrics toolbox for classification", "author": "AI Verify", "description": "The Fairness Metrics Toolbox (FMT) for Classification contains a list of fairness metrics to measure how resources (e.g. opportunities, food, loan, medical help) are allocated among the demographic groups (e.g. married male, married female) given a set of sensitive feature(s) (e.g. gender, marital status). 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a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/algorithms/fairness_metrics_toolbox_for_classification/pyproject.toml +++ b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/algorithms/fairness_metrics_toolbox_for_classification/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "fairness-metrics-toolbox-for-classification" -version = "0.9.0" +version = "0.10.0" description = "" authors = ["AI Verify"] readme = "README.md" @@ -8,15 +8,12 @@ packages = [{include = "fairness_metrics_toolbox_for_classification"}] [tool.poetry.dependencies] python = ">=3.10,<3.12" -numpy = "1.23.5" -scikit-learn = "1.2.2" -joblib = "1.2.0" -scipy = "1.11.1" +numpy = "1.24.3" +scikit-learn = "1.4.0" +joblib = "1.3.2" +scipy = "1.12.0" -[tool.poetry.group.dev.dependencies] -pre-commit = "3.0.4" - [build-system] requires = ["poetry-core"] build-backend = "poetry.core.masonry.api" diff --git a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/algorithms/fairness_metrics_toolbox_for_classification/requirements.txt b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/algorithms/fairness_metrics_toolbox_for_classification/requirements.txt index a50ab2b8a..d1cba5393 100644 --- a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/algorithms/fairness_metrics_toolbox_for_classification/requirements.txt +++ b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/algorithms/fairness_metrics_toolbox_for_classification/requirements.txt @@ -1,5 +1,5 @@ -joblib==1.2.0 ; python_version >= "3.10" and python_version < "3.12" -numpy==1.23.5 ; python_version >= "3.10" and python_version < "3.12" -scikit-learn==1.2.2 ; python_version >= "3.10" and python_version < "3.12" -scipy==1.11.1 ; python_version >= "3.10" and python_version < "3.12" +joblib==1.3.2 ; python_version >= "3.10" and python_version < 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a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/dist/aiverify.stock.fairness_metrics_toolbox_for_classification-0.9.0.zip and b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/dist/aiverify.stock.fairness_metrics_toolbox_for_classification-0.10.0.zip differ diff --git a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/plugin.meta.json b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/plugin.meta.json index 130c627c6..c63fd298d 100755 --- a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/plugin.meta.json +++ b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-classification/plugin.meta.json @@ -1,6 +1,6 @@ { "gid": "aiverify.stock.fairness_metrics_toolbox_for_classification", - "version": "0.9.0", + "version": "0.10.0", "name": "Fairness for Classification", "author": "AI Verify", "description": "This plugin computes and displays a list of fairness metrics to measure how correctly your classification model predicts among the given set of sensitive features.", diff --git a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/algorithms/fairness_metrics_toolbox_for_regression/fairness_metrics_toolbox_for_regression.meta.json b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/algorithms/fairness_metrics_toolbox_for_regression/fairness_metrics_toolbox_for_regression.meta.json index c631a3d61..7d97f4c1d 100755 --- a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/algorithms/fairness_metrics_toolbox_for_regression/fairness_metrics_toolbox_for_regression.meta.json +++ b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/algorithms/fairness_metrics_toolbox_for_regression/fairness_metrics_toolbox_for_regression.meta.json @@ -4,7 +4,7 @@ "modelType": [ "regression" ], - "version": "0.9.0", + "version": "0.10.0", "author": "AI Verify", "description": "This algorithm computes a list of fairness metrics to measure how correctly your model predicts among the given set of sensitive features.", "tags": [ diff --git a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/algorithms/fairness_metrics_toolbox_for_regression/fairness_metrics_toolbox_for_regression.py b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/algorithms/fairness_metrics_toolbox_for_regression/fairness_metrics_toolbox_for_regression.py index 014fd7510..893133ef1 100644 --- a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/algorithms/fairness_metrics_toolbox_for_regression/fairness_metrics_toolbox_for_regression.py +++ b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/algorithms/fairness_metrics_toolbox_for_regression/fairness_metrics_toolbox_for_regression.py @@ -336,14 +336,10 @@ def generate(self) -> None: testing = self._ground_truth_instance.get_data() data = self._data # testing.drop(self._ground_truth, 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readme = "README.md" @@ -8,11 +8,11 @@ packages = [{include = "fairness_metrics_toolbox_for_regression"}] [tool.poetry.dependencies] python = ">=3.10,<3.12" -joblib = "1.2.0" -numpy = "1.23.5" -scikit-learn = "1.2.2" -pandas = "1.5.3" -scipy = "1.11.1" +joblib = "1.3.2" +numpy = "1.24.3" +scikit-learn = "1.4.0" +pandas = "2.0.3" +scipy = "1.12.0" [build-system] diff --git a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/algorithms/fairness_metrics_toolbox_for_regression/requirements.txt b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/algorithms/fairness_metrics_toolbox_for_regression/requirements.txt index d7a47b3f0..45dc72c9a 100644 --- a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/algorithms/fairness_metrics_toolbox_for_regression/requirements.txt +++ b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/algorithms/fairness_metrics_toolbox_for_regression/requirements.txt @@ -1,9 +1,10 @@ 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threadpoolctl==3.2.0 ; python_version >= "3.10" and python_version < "3.12" +tzdata==2023.4 ; python_version >= "3.10" and python_version < "3.12" diff --git a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/dist/aiverify.stock.fairness_metrics_toolbox_for_regression-0.9.0.zip b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/dist/aiverify.stock.fairness_metrics_toolbox_for_regression-0.10.0.zip similarity index 58% rename from stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/dist/aiverify.stock.fairness_metrics_toolbox_for_regression-0.9.0.zip rename to stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/dist/aiverify.stock.fairness_metrics_toolbox_for_regression-0.10.0.zip index 70b0b8c96..c3b610955 100644 Binary files a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/dist/aiverify.stock.fairness_metrics_toolbox_for_regression-0.9.0.zip and b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/dist/aiverify.stock.fairness_metrics_toolbox_for_regression-0.10.0.zip differ diff --git a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/plugin.meta.json b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/plugin.meta.json index a80dd0621..2098a0f1c 100755 --- a/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/plugin.meta.json +++ b/stock-plugins/aiverify.stock.fairness-metrics-toolbox-for-regression/plugin.meta.json @@ -1,6 +1,6 @@ { "gid": "aiverify.stock.fairness_metrics_toolbox_for_regression", - "version": "0.9.0", + "version": "0.10.0", "name": "Fairness for Regression", "author": "AI Verify", "description": "This plugin computes and displays a list of fairness metrics to measure how correctly your regression model predicts among the given set of sensitive features.", diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/blur_corruptions.meta.json b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/blur_corruptions.meta.json index 123b9bbc4..260c34852 100755 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/blur_corruptions.meta.json +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/blur_corruptions.meta.json @@ -4,7 +4,7 @@ "modelType": [ "classification" ], - "version": "0.9.0", + "version": "0.10.0", "author": "AI Verify", "description": "Algorithm that adds blur corruptions (defocus, gaussian, glass, horizontal motion, vertical motion and zoom blur)", "tags": [ diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/plugin.meta.json b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/plugin.meta.json index b35d55055..448a6fbdd 100755 --- 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"tzdata-2023.4.tar.gz", hash = "sha256:dd54c94f294765522c77399649b4fefd95522479a664a0cec87f41bebc6148c9"}, +] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.12" -content-hash = "2cc70335e9418d43142289f8bb710036808bc7f1db1009ee0e73c7eeac3ae126" +content-hash = "c55e3e7b79c261529ffed4d3f0a94040d6bf47b82a1181c51d980d0b1ab40731" diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/pyproject.toml b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/pyproject.toml index cb55f6a50..35d87b2bd 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/pyproject.toml +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "blur-corruptions" -version = "0.9.0" +version = "0.10.0" description = "" authors = ["AI Verify"] readme = "README.md" @@ -8,14 +8,14 @@ packages = [{include = "blur_corruptions"}] [tool.poetry.dependencies] python = ">=3.10,<3.12" -pandas = "1.5.3" -numpy = "1.23.5" -pillow = "9.4.0" -scikit-learn = "1.2.2" -joblib = "1.2.0" -scikit-image = "0.21.0" -opencv-python = "4.7.0.72" -scipy = "1.11.1" +pandas = "2.0.3" +numpy = "1.24.3" +pillow = "10.2.0" +scikit-learn = "1.4.0" +joblib = "1.3.2" +scikit-image = "0.22.0" +opencv-python = "4.9.0.80" +scipy = "1.12.0" [build-system] diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/requirements.txt b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/requirements.txt index 4a910fbb0..acda414d1 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/requirements.txt +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/requirements.txt @@ -1,18 +1,18 @@ -imageio==2.31.1 ; python_version >= "3.10" and python_version < "3.12" -joblib==1.2.0 ; python_version >= "3.10" and python_version < "3.12" +imageio==2.33.1 ; python_version >= "3.10" and python_version < "3.12" +joblib==1.3.2 ; python_version >= "3.10" and python_version < "3.12" lazy-loader==0.3 ; python_version >= "3.10" and python_version < "3.12" -networkx==3.1 ; python_version >= "3.10" and python_version < "3.12" -numpy==1.23.5 ; python_version >= "3.10" and python_version < "3.12" -opencv-python==4.7.0.72 ; python_version >= "3.10" and python_version < "3.12" -packaging==23.1 ; python_version >= "3.10" and python_version < "3.12" -pandas==1.5.3 ; python_version >= "3.10" and python_version < "3.12" -pillow==9.4.0 ; python_version >= "3.10" and python_version < "3.12" +networkx==3.2.1 ; python_version >= "3.10" and python_version < "3.12" +numpy==1.24.3 ; python_version >= "3.10" and python_version < "3.12" +opencv-python==4.9.0.80 ; python_version >= "3.10" and python_version < "3.12" +packaging==23.2 ; python_version >= "3.10" and python_version < "3.12" +pandas==2.0.3 ; python_version >= "3.10" and python_version < "3.12" +pillow==10.2.0 ; python_version >= "3.10" and python_version < "3.12" python-dateutil==2.8.2 ; python_version >= "3.10" and python_version < "3.12" -pytz==2023.3 ; python_version >= "3.10" and python_version < "3.12" -pywavelets==1.4.1 ; python_version >= "3.10" and python_version < "3.12" -scikit-image==0.21.0 ; python_version >= "3.10" and python_version < "3.12" -scikit-learn==1.2.2 ; python_version >= "3.10" and python_version < "3.12" -scipy==1.11.1 ; python_version >= "3.10" and python_version < "3.12" +pytz==2023.4 ; python_version >= "3.10" and python_version < "3.12" +scikit-image==0.22.0 ; python_version >= "3.10" and python_version < "3.12" +scikit-learn==1.4.0 ; python_version >= "3.10" and python_version < "3.12" +scipy==1.12.0 ; python_version >= "3.10" and python_version < "3.12" six==1.16.0 ; python_version >= "3.10" and python_version < "3.12" threadpoolctl==3.2.0 ; python_version >= "3.10" and python_version < "3.12" -tifffile==2023.7.10 ; python_version >= "3.10" and python_version < "3.12" +tifffile==2023.12.9 ; python_version >= "3.10" and python_version < "3.12" +tzdata==2023.4 ; python_version >= "3.10" and python_version < "3.12" diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py index 15c5e4ca1..65a1e43b8 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py @@ -2,20 +2,20 @@ import pandas as pd from PIL import Image -class imageProcessingStage(): + +class imageProcessingStage: def __init__(self, dir_column): self.dir_column = dir_column - + def transform(self, X, y=None): - """Convert columns into dataframe for model input - """ + """Convert columns into dataframe for model input""" images = [] - X_=X.copy() + X_ = X.copy() for dir in X_[self.dir_column]: - image_array = np.array(Image.open(dir)) / 255. - image_array = image_array.reshape(100*100*3) + image_array = np.array(Image.open(dir)) / 255.0 + image_array = image_array.reshape(100 * 100 * 3) images.append(np.array(image_array)) return pd.DataFrame(images) def fit(self, X, y=None): - return self \ No newline at end of file + return self diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/utils/__init__.py b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/utils/__init__.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/utils/blur.py b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/utils/blur.py index b93b835a9..e7d595778 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/utils/blur.py +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/blur_corruptions/utils/blur.py @@ -154,8 +154,8 @@ def horizontal_motion_blur(img: np.ndarray, severity: int = 1) -> np.ndarray: output = cv2.filter2D(img, -1, kernel_motion_blur) output = cv2.cvtColor(output.astype(np.uint8), cv2.COLOR_BGR2RGB) if two: - test = np.squeeze(output, axis = 2) - + test = np.squeeze(output, axis=2) + return output / 255.0 diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/digital_corruptions.meta.json b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/digital_corruptions.meta.json index ceb67ad8d..a5db9a8a6 100755 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/digital_corruptions.meta.json +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/digital_corruptions.meta.json @@ -4,7 +4,7 @@ "modelType": [ "classification" ], - "version": "0.9.0", + "version": "0.10.0", "author": "AI Verify", "description": "Algorithm that adds digital corruptions (brightness up and down, contrast up and down, compression, tilt, saturate)", "tags": [ diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/plugin.meta.json b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/plugin.meta.json index a03a48d42..23c2b8f10 100755 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/plugin.meta.json +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/plugin.meta.json @@ -1,6 +1,6 @@ { "gid": "aiverify.algorithms.digital_corruptions", - "version": "0.9.0", + "version": "0.10.0", "name": "Digital Corruptions", "author": "AI Verify", "description": "Robustness plugin for digital corruptions" diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/poetry.lock b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/poetry.lock index 312c1ba29..1668cd9a1 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/poetry.lock +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/poetry.lock @@ -1,14 +1,14 @@ -# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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+content-hash = "fa0b2a79d5221c30d903fb261504dc57d6ade1641e1cf7f5465e0946e9605128" diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/pyproject.toml b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/pyproject.toml index a7337c6c7..847a42210 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/pyproject.toml +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "digital-corruptions" -version = "0.9.0" +version = "0.10.0" description = "" authors = ["AI Verify"] readme = "README.md" @@ -8,13 +8,13 @@ packages = [{include = "digital_corruptions"}] [tool.poetry.dependencies] python = ">=3.10,<3.12" -pandas = "1.5.3" -numpy = "1.23.5" -pillow = "9.4.0" -scikit-learn = "1.2.2" -joblib = "1.2.0" -scipy = "1.11.1" -scikit-image = "0.21.0" +pandas = "2.0.3" +numpy = "1.24.3" +pillow = "10.2.0" +scikit-learn = "1.4.0" +joblib = "1.3.2" +scipy = "1.12.0" +scikit-image = "0.22.0" [build-system] diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/requirements.txt b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/requirements.txt index c91ccaf56..53ad4883c 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/requirements.txt +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/requirements.txt @@ -1,17 +1,17 @@ -imageio==2.31.1 ; python_version >= "3.10" and python_version < "3.12" -joblib==1.2.0 ; python_version >= "3.10" and python_version < "3.12" +imageio==2.33.1 ; python_version >= "3.10" and python_version < "3.12" +joblib==1.3.2 ; python_version >= "3.10" and python_version < "3.12" lazy-loader==0.3 ; python_version >= "3.10" and python_version < "3.12" -networkx==3.1 ; python_version >= "3.10" and python_version < "3.12" -numpy==1.23.5 ; python_version >= "3.10" and python_version < "3.12" -packaging==23.1 ; python_version >= "3.10" and python_version < "3.12" -pandas==1.5.3 ; python_version >= "3.10" and python_version < "3.12" -pillow==9.4.0 ; python_version >= "3.10" and python_version < "3.12" +networkx==3.2.1 ; python_version >= "3.10" and python_version < "3.12" +numpy==1.24.3 ; python_version >= "3.10" and python_version < "3.12" +packaging==23.2 ; python_version >= "3.10" and python_version < "3.12" +pandas==2.0.3 ; python_version >= "3.10" and python_version < "3.12" +pillow==10.2.0 ; python_version >= "3.10" and python_version < "3.12" python-dateutil==2.8.2 ; python_version >= "3.10" and python_version < "3.12" -pytz==2023.3 ; python_version >= "3.10" and python_version < "3.12" -pywavelets==1.4.1 ; python_version >= "3.10" and python_version < "3.12" -scikit-image==0.21.0 ; python_version >= "3.10" and python_version < "3.12" -scikit-learn==1.2.2 ; python_version >= "3.10" and python_version < "3.12" -scipy==1.11.1 ; python_version >= "3.10" and python_version < "3.12" +pytz==2023.4 ; python_version >= "3.10" and python_version < "3.12" +scikit-image==0.22.0 ; python_version >= "3.10" and python_version < "3.12" +scikit-learn==1.4.0 ; python_version >= "3.10" and python_version < "3.12" +scipy==1.12.0 ; python_version >= "3.10" and python_version < "3.12" six==1.16.0 ; python_version >= "3.10" and python_version < "3.12" threadpoolctl==3.2.0 ; python_version >= "3.10" and python_version < "3.12" -tifffile==2023.7.10 ; python_version >= "3.10" and python_version < "3.12" +tifffile==2023.12.9 ; python_version >= "3.10" and python_version < "3.12" +tzdata==2023.4 ; python_version >= "3.10" and python_version < "3.12" diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py index 15c5e4ca1..65a1e43b8 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py @@ -2,20 +2,20 @@ import pandas as pd from PIL import Image -class imageProcessingStage(): + +class imageProcessingStage: def __init__(self, dir_column): self.dir_column = dir_column - + def transform(self, X, y=None): - """Convert columns into dataframe for model input - """ + """Convert columns into dataframe for model input""" images = [] - X_=X.copy() + X_ = X.copy() for dir in X_[self.dir_column]: - image_array = np.array(Image.open(dir)) / 255. - image_array = image_array.reshape(100*100*3) + image_array = np.array(Image.open(dir)) / 255.0 + image_array = image_array.reshape(100 * 100 * 3) images.append(np.array(image_array)) return pd.DataFrame(images) def fit(self, X, y=None): - return self \ No newline at end of file + return self diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/utils/__init__.py b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/digital_corruptions/utils/__init__.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/environment_corruptions.meta.json b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/environment_corruptions.meta.json index eaad21acb..50c190886 100755 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/environment_corruptions.meta.json +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/environment_corruptions.meta.json @@ -4,7 +4,7 @@ "modelType": [ "classification" ], - "version": "0.9.0", + "version": "0.10.0", "author": "AI Verify", "description": "Algorithm that adds environmental corruptions (rain, fog and snow)", "tags": [ diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/plugin.meta.json b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/plugin.meta.json index 24a577f29..2af800f32 100755 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/plugin.meta.json +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/plugin.meta.json @@ -1,6 +1,6 @@ { "gid": "aiverify.algorithms.environment_corruptions", - "version": "0.9.0", + "version": "0.10.0", "name": "Environment Corruptions", "author": "AI Verify", "description": "Robustness plugin with environment corruptions" diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/poetry.lock b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/poetry.lock index e36e552f9..5055050f4 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/poetry.lock +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/poetry.lock @@ -1,14 +1,14 @@ -# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. [[package]] name = "imageio" -version = "2.31.1" +version = "2.33.1" description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats." optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "imageio-2.31.1-py3-none-any.whl", hash = "sha256:4106fb395ef7f8dc0262d6aa1bb03daba818445c381ca8b7d5dfc7a2089b04df"}, - {file = "imageio-2.31.1.tar.gz", hash = "sha256:f8436a02af02fd63f272dab50f7d623547a38f0e04a4a73e2b02ae1b8b180f27"}, + {file = "imageio-2.33.1-py3-none-any.whl", hash = "sha256:c5094c48ccf6b2e6da8b4061cd95e1209380afafcbeae4a4e280938cce227e1d"}, + {file = "imageio-2.33.1.tar.gz", hash = "sha256:78722d40b137bd98f5ec7312119f8aea9ad2049f76f434748eb306b6937cc1ce"}, ] [package.dependencies] @@ -16,30 +16,31 @@ numpy = "*" pillow = ">=8.3.2" [package.extras] -all-plugins = ["astropy", "av", "imageio-ffmpeg", "psutil", "tifffile"] -all-plugins-pypy = ["av", "imageio-ffmpeg", "psutil", "tifffile"] 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-version = "1.2.0" +version = "1.3.2" description = "Lightweight pipelining with Python functions" optional = false python-versions = ">=3.7" files = [ - {file = "joblib-1.2.0-py3-none-any.whl", hash = "sha256:091138ed78f800342968c523bdde947e7a305b8594b910a0fea2ab83c3c6d385"}, - {file = "joblib-1.2.0.tar.gz", hash = "sha256:e1cee4a79e4af22881164f218d4311f60074197fb707e082e803b61f6d137018"}, + {file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"}, + {file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"}, ] [[package]] @@ -59,232 +60,243 @@ test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"] [[package]] name = "networkx" -version = "3.1" +version = "3.2.1" description = "Python package for creating and manipulating graphs and networks" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "networkx-3.1-py3-none-any.whl", hash = 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+content-hash = "d44b72cdf98af0e3a745a526e8c52d2a0b26ca2d5bce82915286fbdd4b54c1ca" diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/pyproject.toml b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/pyproject.toml index d6ecb33bf..618483eaf 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/pyproject.toml +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "environment-corruptions" -version = "0.9.0" +version = "0.10.0" description = "" authors = ["AI Verify"] readme = "README.md" @@ -8,15 +8,16 @@ packages = [{include = "environment_corruptions"}] [tool.poetry.dependencies] python = ">=3.10,<3.12" -pandas = "1.5.3" -numpy = "1.23.5" -pillow = "9.4.0" -scikit-learn = "1.2.2" -scipy = "1.11.1" -joblib = "1.2.0" -scikit-image = "0.21.0" -opencv-python = "4.7.0.72" -wand = "0.6.11" +pandas = "2.0.3" +numpy = "1.24.3" +pillow = "10.2.0" +scikit-learn = "1.4.0" +scipy = "1.12.0" +joblib = "1.3.2" +scikit-image = "0.22.0" +opencv-python = "4.9.0.80" +wand = "0.6.13" + [build-system] requires = ["poetry-core"] diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/requirements.txt b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/requirements.txt index 0b0bbc2d5..6cabc4664 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/requirements.txt +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/requirements.txt @@ -1,19 +1,19 @@ -imageio==2.31.1 ; python_version >= "3.10" and python_version < "3.12" -joblib==1.2.0 ; python_version >= "3.10" and python_version < "3.12" +imageio==2.33.1 ; python_version >= "3.10" and python_version < "3.12" +joblib==1.3.2 ; python_version >= "3.10" and python_version < "3.12" lazy-loader==0.3 ; python_version >= "3.10" and python_version < "3.12" -networkx==3.1 ; python_version >= "3.10" and python_version < "3.12" -numpy==1.23.5 ; python_version >= "3.10" and python_version < "3.12" -opencv-python==4.7.0.72 ; python_version >= "3.10" and python_version < "3.12" -packaging==23.1 ; python_version >= "3.10" and python_version < "3.12" -pandas==1.5.3 ; python_version >= "3.10" and python_version < "3.12" -pillow==9.4.0 ; python_version >= "3.10" and python_version < "3.12" +networkx==3.2.1 ; python_version >= "3.10" and python_version < "3.12" +numpy==1.24.3 ; python_version >= "3.10" and python_version < "3.12" +opencv-python==4.9.0.80 ; python_version >= "3.10" and python_version < "3.12" +packaging==23.2 ; python_version >= "3.10" and python_version < "3.12" +pandas==2.0.3 ; python_version >= "3.10" and python_version < "3.12" +pillow==10.2.0 ; python_version >= "3.10" and python_version < "3.12" python-dateutil==2.8.2 ; python_version >= "3.10" and python_version < "3.12" -pytz==2023.3 ; python_version >= "3.10" and python_version < "3.12" -pywavelets==1.4.1 ; python_version >= "3.10" and python_version < "3.12" -scikit-image==0.21.0 ; python_version >= "3.10" and python_version < "3.12" -scikit-learn==1.2.2 ; python_version >= "3.10" and python_version < "3.12" -scipy==1.11.1 ; python_version >= "3.10" and python_version < "3.12" +pytz==2023.4 ; python_version >= "3.10" and python_version < "3.12" +scikit-image==0.22.0 ; python_version >= "3.10" and python_version < "3.12" +scikit-learn==1.4.0 ; python_version >= "3.10" and python_version < "3.12" +scipy==1.12.0 ; python_version >= "3.10" and python_version < "3.12" six==1.16.0 ; python_version >= "3.10" and python_version < "3.12" threadpoolctl==3.2.0 ; python_version >= "3.10" and python_version < "3.12" -tifffile==2023.7.10 ; python_version >= "3.10" and python_version < "3.12" -wand==0.6.11 ; python_version >= "3.10" and python_version < "3.12" +tifffile==2023.12.9 ; python_version >= "3.10" and python_version < "3.12" +tzdata==2023.4 ; python_version >= "3.10" and python_version < "3.12" +wand==0.6.13 ; python_version >= "3.10" and python_version < "3.12" diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/tests/user_defined_files/data/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/tests/user_defined_files/data/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py index 15c5e4ca1..65a1e43b8 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/tests/user_defined_files/data/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/tests/user_defined_files/data/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py @@ -2,20 +2,20 @@ import pandas as pd from PIL import Image -class imageProcessingStage(): + +class imageProcessingStage: def __init__(self, dir_column): self.dir_column = dir_column - + def transform(self, X, y=None): - """Convert columns into dataframe for model input - """ + """Convert columns into dataframe for model input""" images = [] - X_=X.copy() + X_ = X.copy() for dir in X_[self.dir_column]: - image_array = np.array(Image.open(dir)) / 255. - image_array = image_array.reshape(100*100*3) + image_array = np.array(Image.open(dir)) / 255.0 + image_array = image_array.reshape(100 * 100 * 3) images.append(np.array(image_array)) return pd.DataFrame(images) def fit(self, X, y=None): - return self \ No newline at end of file + return self diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py index 15c5e4ca1..65a1e43b8 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py @@ -2,20 +2,20 @@ import pandas as pd from PIL import Image -class imageProcessingStage(): + +class imageProcessingStage: def __init__(self, dir_column): self.dir_column = dir_column - + def transform(self, X, y=None): - """Convert columns into dataframe for model input - """ + """Convert columns into dataframe for model input""" images = [] - X_=X.copy() + X_ = X.copy() for dir in X_[self.dir_column]: - image_array = np.array(Image.open(dir)) / 255. - image_array = image_array.reshape(100*100*3) + image_array = np.array(Image.open(dir)) / 255.0 + image_array = image_array.reshape(100 * 100 * 3) images.append(np.array(image_array)) return pd.DataFrame(images) def fit(self, X, y=None): - return self \ No newline at end of file + return self diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/utils/__init__.py b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/utils/__init__.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/utils/environment.py b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/utils/environment.py index a1789c760..28024ebe4 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/utils/environment.py +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/environment_corruptions/utils/environment.py @@ -115,7 +115,7 @@ def snow(img: np.ndarray, severity: int = 1) -> np.float32: radius = severity_constant[4] sigma = severity_constant[5] add_const = severity_constant[6] - + image = img.copy() image = np.array(image, dtype=np.float32) @@ -145,7 +145,8 @@ def snow(img: np.ndarray, severity: int = 1) -> np.float32: snow_layer = snow_layer[..., np.newaxis] image = add_const * image + (1 - add_const) * np.maximum( - image, cv2.cvtColor(image, cv2.COLOR_RGB2GRAY).reshape(width, height, 1) * 1.5 + 0.5 + image, + cv2.cvtColor(image, cv2.COLOR_RGB2GRAY).reshape(width, height, 1) * 1.5 + 0.5, ) return (np.clip(image + snow_layer + np.rot90(snow_layer, k=2), 0, 1)).astype( np.float32 diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/general_corruptions.meta.json b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/general_corruptions.meta.json index b7e620de5..c57fa66a4 100755 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/general_corruptions.meta.json +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/general_corruptions.meta.json @@ -4,7 +4,7 @@ "modelType": [ "classification" ], - "version": "0.9.0", + "version": "0.10.0", "author": "AI Verify", "description": "Algorithm that adds general corruptions (gaussian, poisson and salt and pepper noise)", "tags": [ diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/plugin.meta.json b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/plugin.meta.json index 777620a2e..55ce78578 100755 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/plugin.meta.json +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/plugin.meta.json @@ -1,6 +1,6 @@ { "gid": "aiverify.algorithms.general_corruptions", - "version": "0.9.0", + "version": "0.10.0", "name": "General Corruptions", "author": "AI Verify", "description": "Robustness with general corruptions" diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/poetry.lock b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/poetry.lock index 7605209a8..2e35cf6af 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/poetry.lock +++ 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a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/pyproject.toml +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "general-corruptions" -version = "0.9.0" +version = "0.10.0" description = "" authors = ["AI Verify"] readme = "README.md" @@ -8,9 +8,9 @@ packages = [{include = "general_corruptions"}] [tool.poetry.dependencies] python = ">=3.10,<3.12" -pandas = "1.5.3" -numpy = "1.23.5" -pillow = "9.4.0" +pandas = "2.0.3" +numpy = "1.24.3" +pillow = "10.2.0" [build-system] diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/requirements.txt b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/requirements.txt index 710a3fddb..495c89806 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/requirements.txt +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/requirements.txt @@ -1,6 +1,7 @@ -numpy==1.23.5 ; python_version >= "3.10" and python_version < "3.12" -pandas==1.5.3 ; python_version >= "3.10" and python_version < "3.12" -pillow==9.4.0 ; python_version >= "3.10" and python_version < "3.12" +numpy==1.24.3 ; python_version >= "3.10" and python_version < "3.12" +pandas==2.0.3 ; python_version >= "3.10" and python_version < "3.12" +pillow==10.2.0 ; python_version >= "3.10" and python_version < "3.12" python-dateutil==2.8.2 ; python_version >= "3.10" and python_version < "3.12" -pytz==2023.3 ; python_version >= "3.10" and python_version < "3.12" +pytz==2023.4 ; python_version >= "3.10" and python_version < "3.12" six==1.16.0 ; python_version >= "3.10" and python_version < "3.12" +tzdata==2023.4 ; python_version >= "3.10" and python_version < "3.12" diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/tests/user_defined_files/data/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/tests/user_defined_files/data/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py index 15c5e4ca1..65a1e43b8 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/tests/user_defined_files/data/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/tests/user_defined_files/data/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py @@ -2,20 +2,20 @@ import pandas as pd from PIL import Image -class imageProcessingStage(): + +class imageProcessingStage: def __init__(self, dir_column): self.dir_column = dir_column - + def transform(self, X, y=None): - """Convert columns into dataframe for model input - """ + """Convert columns into dataframe for model input""" images = [] - X_=X.copy() + X_ = X.copy() for dir in X_[self.dir_column]: - image_array = np.array(Image.open(dir)) / 255. - image_array = image_array.reshape(100*100*3) + image_array = np.array(Image.open(dir)) / 255.0 + image_array = image_array.reshape(100 * 100 * 3) images.append(np.array(image_array)) return pd.DataFrame(images) def fit(self, X, y=None): - return self \ No newline at end of file + return self diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py index 15c5e4ca1..65a1e43b8 100644 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/algorithms/general_corruptions/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py @@ -2,20 +2,20 @@ import pandas as pd from PIL import Image -class imageProcessingStage(): + +class imageProcessingStage: def __init__(self, dir_column): self.dir_column = dir_column - + def transform(self, X, y=None): - """Convert columns into dataframe for model input - """ + """Convert columns into dataframe for model input""" images = [] - X_=X.copy() + X_ = X.copy() for dir in X_[self.dir_column]: - image_array = np.array(Image.open(dir)) / 255. - image_array = image_array.reshape(100*100*3) + image_array = np.array(Image.open(dir)) / 255.0 + image_array = image_array.reshape(100 * 100 * 3) images.append(np.array(image_array)) return pd.DataFrame(images) def fit(self, X, y=None): - return self \ No newline at end of file + return self diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/dist/aiverify.stock.image_corruption_toolbox-0.9.0.zip b/stock-plugins/aiverify.stock.image-corruption-toolbox/dist/aiverify.stock.image_corruption_toolbox-0.10.0.zip similarity index 87% rename from stock-plugins/aiverify.stock.image-corruption-toolbox/dist/aiverify.stock.image_corruption_toolbox-0.9.0.zip rename to stock-plugins/aiverify.stock.image-corruption-toolbox/dist/aiverify.stock.image_corruption_toolbox-0.10.0.zip index ff4b833f4..22041c44b 100644 Binary files a/stock-plugins/aiverify.stock.image-corruption-toolbox/dist/aiverify.stock.image_corruption_toolbox-0.9.0.zip and b/stock-plugins/aiverify.stock.image-corruption-toolbox/dist/aiverify.stock.image_corruption_toolbox-0.10.0.zip differ diff --git a/stock-plugins/aiverify.stock.image-corruption-toolbox/plugin.meta.json b/stock-plugins/aiverify.stock.image-corruption-toolbox/plugin.meta.json index fcab3d376..842ca9db7 100755 --- a/stock-plugins/aiverify.stock.image-corruption-toolbox/plugin.meta.json +++ b/stock-plugins/aiverify.stock.image-corruption-toolbox/plugin.meta.json @@ -1,6 +1,6 @@ { "gid": "aiverify.stock.image_corruption_toolbox", - "version": "0.9.0", + "version": "0.10.0", "name": "Image Corruption Toolbox", "author": "AI Verify", "description": "Robustness plugin with image corruption algorithms (general, blur, digital, environment)" diff --git a/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/partial_dependence_plot.meta.json b/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/partial_dependence_plot.meta.json index a34ef6610..5846ee03e 100755 --- a/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/partial_dependence_plot.meta.json +++ b/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/partial_dependence_plot.meta.json @@ -5,7 +5,7 @@ "classification", "regression" ], - "version": "0.9.0", + "version": "0.10.0", "author": "AI Verify", "description": "A Partial Dependence Plot (PDP) explains how each feature and its feature value contribute to the predictions.", "tags": [ diff --git a/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/partial_dependence_plot.py b/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/partial_dependence_plot.py index dbc5a7901..c35537765 100644 --- a/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/partial_dependence_plot.py +++ b/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/partial_dependence_plot.py @@ -439,9 +439,7 @@ def _compute_pdp( for i, y in enumerate(grid_values): data_copy[:, idx] = y - baselines.append( - self._model_instance.predict([data_copy], data_labels) - ) + baselines.append(self._model_instance.predict([data_copy], data_labels)) baselines = np.swapaxes(np.array(baselines), 0, 1) mean_value = np.mean(baselines, axis=0) diff --git a/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/poetry.lock b/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/poetry.lock index b678111f4..cc8225466 100644 --- a/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/poetry.lock +++ b/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/poetry.lock @@ -1,79 +1,85 @@ -# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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a/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/pyproject.toml +++ b/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "partial-dependence-plot" -version = "0.9.0" +version = "0.10.0" description = "" authors = ["AI Verify"] readme = "README.md" @@ -8,8 +8,8 @@ packages = [{include = "partial_dependence_plot"}] [tool.poetry.dependencies] python = ">=3.10,<3.12" -numpy = "1.23.5" -scipy = "1.11.1" +numpy = "1.24.3" +scipy = "1.12.0" [build-system] diff --git a/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/requirements.txt b/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/requirements.txt index 9265d09e8..1ec4e5707 100644 --- a/stock-plugins/aiverify.stock.partial-dependence-plot/algorithms/partial_dependence_plot/requirements.txt +++ 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a/stock-plugins/aiverify.stock.partial-dependence-plot/dist/aiverify.stock.partial_dependence_plot-0.9.0.zip and b/stock-plugins/aiverify.stock.partial-dependence-plot/dist/aiverify.stock.partial_dependence_plot-0.10.0.zip differ diff --git a/stock-plugins/aiverify.stock.partial-dependence-plot/plugin.meta.json b/stock-plugins/aiverify.stock.partial-dependence-plot/plugin.meta.json index bad9a52ad..b5a66f625 100755 --- a/stock-plugins/aiverify.stock.partial-dependence-plot/plugin.meta.json +++ b/stock-plugins/aiverify.stock.partial-dependence-plot/plugin.meta.json @@ -1,6 +1,6 @@ { "gid": "aiverify.stock.partial_dependence_plot", - "version": "0.9.0", + "version": "0.10.0", "name": "Partial Dependence Plot", "author": "AI Verify", "description": "A Partial Dependence Plot (PDP) explains how each feature and its feature value contribute to the predictions." diff --git a/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/poetry.lock 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+numpy==1.24.3 ; python_version >= "3.10" and python_version < "3.12" +pandas==2.0.3 ; python_version >= "3.10" and python_version < "3.12" +pillow==10.2.0 ; python_version >= "3.10" and python_version < "3.12" python-dateutil==2.8.2 ; python_version >= "3.10" and python_version < "3.12" -pytz==2023.3 ; python_version >= "3.10" and python_version < "3.12" -scikit-learn==1.2.2 ; python_version >= "3.10" and python_version < "3.12" -scipy==1.11.1 ; python_version >= "3.10" and python_version < "3.12" +pytz==2023.4 ; python_version >= "3.10" and python_version < "3.12" +scikit-learn==1.4.0 ; python_version >= "3.10" and python_version < "3.12" +scipy==1.12.0 ; python_version >= "3.10" and python_version < "3.12" six==1.16.0 ; python_version >= "3.10" and python_version < "3.12" threadpoolctl==3.2.0 ; python_version >= "3.10" and python_version < "3.12" +tzdata==2023.4 ; python_version >= "3.10" and python_version < "3.12" diff --git a/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/robustness_toolbox.meta.json b/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/robustness_toolbox.meta.json index c2275569f..4fedec5de 100755 --- a/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/robustness_toolbox.meta.json +++ b/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/robustness_toolbox.meta.json @@ -5,7 +5,7 @@ "classification", "regression" ], - "version": "0.9.0", + "version": "0.10.0", "author": "AI Verify", "description": "This plugin generates a perturbed dataset using boundary attack algorithm on the test dataset.", "tags": [ diff --git a/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/robustness_toolbox.py b/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/robustness_toolbox.py index 590fbae1c..35b65955f 100644 --- a/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/robustness_toolbox.py +++ b/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/robustness_toolbox.py @@ -1055,4 +1055,4 @@ def _check_for_xgb_model_type(self) -> bool: and self._model_instance.get_model_plugin_type() is ModelPluginType.XGBOOST ): return True - return False + return False \ No newline at end of file diff --git a/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py b/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py index 15c5e4ca1..65a1e43b8 100644 --- a/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py +++ b/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/tests/user_defined_files/pipeline/multiclass_classification_image_mnist_fashion/fashionCustomClass.py @@ -2,20 +2,20 @@ import pandas as pd from PIL import Image -class imageProcessingStage(): + +class imageProcessingStage: def __init__(self, dir_column): self.dir_column = dir_column - + def transform(self, X, y=None): - """Convert columns into dataframe for model input - """ + """Convert columns into dataframe for model input""" images = [] - X_=X.copy() + X_ = X.copy() for dir in X_[self.dir_column]: - image_array = np.array(Image.open(dir)) / 255. - image_array = image_array.reshape(100*100*3) + image_array = np.array(Image.open(dir)) / 255.0 + image_array = image_array.reshape(100 * 100 * 3) images.append(np.array(image_array)) return pd.DataFrame(images) def fit(self, X, y=None): - return self \ No newline at end of file + return self diff --git a/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/tests/user_defined_files/pipeline/regression_tabular_donation/regressionCustomClass.py b/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/tests/user_defined_files/pipeline/regression_tabular_donation/regressionCustomClass.py index f7238ec85..35130ab96 100644 --- a/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/tests/user_defined_files/pipeline/regression_tabular_donation/regressionCustomClass.py +++ b/stock-plugins/aiverify.stock.robustness-toolbox/algorithms/robustness_toolbox/tests/user_defined_files/pipeline/regression_tabular_donation/regressionCustomClass.py @@ -1,17 +1,17 @@ from sklearn.preprocessing import LabelEncoder -class featureEngineeringStage(): + +class featureEngineeringStage: def __init__(self, columns, selection): self.columns = columns self.selection = selection - + def transform(self, X, y=None): - """Transform columns of X using LabelEncoder. - """ + """Transform columns of X using LabelEncoder.""" output = X.copy() for col in self.columns: output[col] = LabelEncoder().fit_transform(output[col]) return output[self.selection] - + def fit(self, X, y=None): - return self \ No newline at end of file + return self diff --git a/stock-plugins/aiverify.stock.robustness-toolbox/dist/aiverify.stock.robustness_toolbox-0.9.0.zip b/stock-plugins/aiverify.stock.robustness-toolbox/dist/aiverify.stock.robustness_toolbox-0.10.0.zip similarity index 82% rename from stock-plugins/aiverify.stock.robustness-toolbox/dist/aiverify.stock.robustness_toolbox-0.9.0.zip rename to stock-plugins/aiverify.stock.robustness-toolbox/dist/aiverify.stock.robustness_toolbox-0.10.0.zip index b51d73a52..c4fb5b2cf 100644 Binary files a/stock-plugins/aiverify.stock.robustness-toolbox/dist/aiverify.stock.robustness_toolbox-0.9.0.zip and b/stock-plugins/aiverify.stock.robustness-toolbox/dist/aiverify.stock.robustness_toolbox-0.10.0.zip differ diff --git a/stock-plugins/aiverify.stock.robustness-toolbox/plugin.meta.json b/stock-plugins/aiverify.stock.robustness-toolbox/plugin.meta.json index 16c39add5..ae7b6a187 100755 --- a/stock-plugins/aiverify.stock.robustness-toolbox/plugin.meta.json +++ b/stock-plugins/aiverify.stock.robustness-toolbox/plugin.meta.json @@ -1,6 +1,6 @@ { "gid": "aiverify.stock.robustness_toolbox", - "version": "0.9.0", + "version": "0.10.0", "name": "Robustness Toolbox", "author": "AI Verify", "description": "This plugin generates a perturbed dataset using boundary attack algorithm on the test dataset." diff --git a/stock-plugins/aiverify.stock.shap-toolbox/algorithms/shap_toolbox/poetry.lock b/stock-plugins/aiverify.stock.shap-toolbox/algorithms/shap_toolbox/poetry.lock index fe67415cd..73e66a32d 100644 --- a/stock-plugins/aiverify.stock.shap-toolbox/algorithms/shap_toolbox/poetry.lock +++ b/stock-plugins/aiverify.stock.shap-toolbox/algorithms/shap_toolbox/poetry.lock @@ -1,14 +1,14 @@ -# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. [[package]] name = "cloudpickle" -version = "2.2.1" -description = "Extended pickling support for Python objects" +version = "3.0.0" +description = "Pickler class to extend the standard pickle.Pickler functionality" optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" files = [ - {file = "cloudpickle-2.2.1-py3-none-any.whl", hash = "sha256:61f594d1f4c295fa5cd9014ceb3a1fc4a70b0de1164b94fbc2d854ccba056f9f"}, - {file = "cloudpickle-2.2.1.tar.gz", hash = "sha256:d89684b8de9e34a2a43b3460fbca07d09d6e25ce858df4d5a44240403b6178f5"}, + {file = "cloudpickle-3.0.0-py3-none-any.whl", hash = "sha256:246ee7d0c295602a036e86369c77fecda4ab17b506496730f2f576d9016fd9c7"}, + {file = "cloudpickle-3.0.0.tar.gz", hash = "sha256:996d9a482c6fb4f33c1a35335cf8afd065d2a56e973270364840712d9131a882"}, ] [[package]] @@ -24,179 +24,195 @@ files = [ [[package]] name = "joblib" -version = "1.2.0" +version = "1.3.2" description = "Lightweight pipelining with Python functions" optional = false 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python_version < "3.12" and platform_system == "Windows" -joblib==1.2.0 ; python_version >= "3.10" and python_version < "3.12" -llvmlite==0.40.1 ; python_version >= "3.10" and python_version < "3.12" -numba==0.57.1 ; python_version >= "3.10" and python_version < "3.12" -numpy==1.23.5 ; python_version >= "3.10" and python_version < "3.12" -packaging==23.1 ; python_version >= "3.10" and python_version < "3.12" -pandas==1.5.3 ; python_version >= "3.10" and python_version < "3.12" +joblib==1.3.2 ; python_version >= "3.10" and python_version < "3.12" +llvmlite==0.41.1 ; python_version >= "3.10" and python_version < "3.12" +numba==0.58.1 ; python_version >= "3.10" and python_version < "3.12" +numpy==1.24.3 ; python_version >= "3.10" and python_version < "3.12" +packaging==23.2 ; python_version >= "3.10" and python_version < "3.12" +pandas==2.0.3 ; python_version >= "3.10" and python_version < "3.12" python-dateutil==2.8.2 ; python_version >= "3.10" and python_version < "3.12" -pytz==2023.3 ; python_version >= "3.10" and python_version < "3.12" -scikit-learn==1.2.2 ; python_version >= "3.10" and python_version < "3.12" -scipy==1.11.1 ; python_version >= "3.10" and python_version < "3.12" -setuptools==68.0.0 ; python_version >= "3.10" and python_version < "3.12" -shap==0.41.0 ; python_version >= "3.10" and python_version < "3.12" +pytz==2023.4 ; python_version >= "3.10" and python_version < "3.12" +scikit-learn==1.4.0 ; python_version >= "3.10" and python_version < "3.12" +scipy==1.12.0 ; python_version >= "3.10" and python_version < "3.12" +setuptools==69.0.3 ; python_version >= "3.10" and python_version < "3.12" +shap==0.44.1 ; python_version >= "3.10" and python_version < "3.12" six==1.16.0 ; python_version >= "3.10" and python_version < "3.12" slicer==0.0.7 ; python_version >= "3.10" and python_version < "3.12" threadpoolctl==3.2.0 ; python_version >= "3.10" and python_version < "3.12" -tqdm==4.65.0 ; python_version >= "3.10" and python_version < "3.12" -xgboost==1.7.4 ; python_version >= "3.10" and python_version < "3.12" +tqdm==4.66.1 ; python_version >= "3.10" and python_version < "3.12" +tzdata==2023.4 ; python_version >= "3.10" and python_version < "3.12" +xgboost==2.0.3 ; python_version >= "3.10" and python_version < "3.12" diff --git a/stock-plugins/aiverify.stock.shap-toolbox/algorithms/shap_toolbox/shap_toolbox.meta.json b/stock-plugins/aiverify.stock.shap-toolbox/algorithms/shap_toolbox/shap_toolbox.meta.json index a01152c1e..c724e80de 100755 --- a/stock-plugins/aiverify.stock.shap-toolbox/algorithms/shap_toolbox/shap_toolbox.meta.json +++ b/stock-plugins/aiverify.stock.shap-toolbox/algorithms/shap_toolbox/shap_toolbox.meta.json @@ -5,7 +5,7 @@ "classification", "regression" ], - "version": "0.9.0", + "version": "0.10.0", "author": "AI Verify", "description": "SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model.", "tags": [ diff --git a/stock-plugins/aiverify.stock.shap-toolbox/dist/aiverify.stock.shap_toolbox-0.9.0.zip b/stock-plugins/aiverify.stock.shap-toolbox/dist/aiverify.stock.shap_toolbox-0.10.0.zip similarity index 69% rename from stock-plugins/aiverify.stock.shap-toolbox/dist/aiverify.stock.shap_toolbox-0.9.0.zip rename to stock-plugins/aiverify.stock.shap-toolbox/dist/aiverify.stock.shap_toolbox-0.10.0.zip index 4fc6f60dd..9643e2ca4 100644 Binary files a/stock-plugins/aiverify.stock.shap-toolbox/dist/aiverify.stock.shap_toolbox-0.9.0.zip and b/stock-plugins/aiverify.stock.shap-toolbox/dist/aiverify.stock.shap_toolbox-0.10.0.zip differ diff --git a/stock-plugins/aiverify.stock.shap-toolbox/plugin.meta.json b/stock-plugins/aiverify.stock.shap-toolbox/plugin.meta.json index 67871d0a6..38ff1890b 100755 --- a/stock-plugins/aiverify.stock.shap-toolbox/plugin.meta.json +++ b/stock-plugins/aiverify.stock.shap-toolbox/plugin.meta.json @@ -1,6 +1,6 @@ { "gid": "aiverify.stock.shap_toolbox", - "version": "0.9.0", + "version": "0.10.0", "name": "SHAP Toolbox", "author": "AI Verify", "description": "SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model." diff --git a/test-engine-app/poetry.lock b/test-engine-app/poetry.lock index b7132afdc..f9c57f1fb 100644 --- a/test-engine-app/poetry.lock +++ b/test-engine-app/poetry.lock @@ -1,119 +1,105 @@ -# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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a/test-engine-app/pyproject.toml +++ b/test-engine-app/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "test-engine-app" -version = "0.9.0" +version = "0.10.0" description = "This application project will support critical functionalities to provide backend tests for AI Verify." authors = ["AI Verify"] readme = "README.md" @@ -8,21 +8,23 @@ packages = [{include = "test_engine_app"}] [tool.poetry.dependencies] python = ">=3.10,<3.12" -redis = "4.5.5" -numpy = "1.23.5" -pathos = "0.3.0" +redis = "5.0.1" +numpy = "1.24.3" +pathos = "0.3.2" semantic-version = "2.10.0" -aiohttp = "3.8.4" -python-dotenv = "1.0.0" -yarl = "1.8.1" +aiohttp = "3.9.2" +python-dotenv = "1.0.1" +yarl = "1.9.4" [tool.poetry.group.dev.dependencies] -black = "23.1.0" -pytest = "7.2.2" -coverage = "7.2.2" -pytest-mock = "3.10.0" -pre-commit = "3.0.4" +black = "^23.10.1" +isort = "^5.12.0" +pre-commit = "^3.5.0" +pytest = "^7.4.3" +coverage = "^7.3.2" +pytest-mock = "^3.12.0" +flake8 = "^6.1.0" [build-system] requires = ["poetry-core"] diff --git a/test-engine-app/requirements.txt b/test-engine-app/requirements.txt index c66f38c05..cc7e7dd5f 100644 --- a/test-engine-app/requirements.txt +++ b/test-engine-app/requirements.txt @@ -1,18 +1,17 @@ -aiohttp==3.8.4 ; python_version >= "3.10" and python_version < "3.12" +aiohttp==3.9.2 ; python_version >= "3.10" and python_version < "3.12" aiosignal==1.3.1 ; python_version >= "3.10" and python_version < "3.12" -async-timeout==4.0.2 ; python_version >= "3.10" and python_version < "3.12" -attrs==23.1.0 ; python_version >= "3.10" and python_version < "3.12" -charset-normalizer==3.2.0 ; python_version >= "3.10" and python_version < "3.12" -dill==0.3.7 ; python_version >= "3.10" and python_version < "3.12" -frozenlist==1.4.0 ; python_version >= "3.10" and python_version < "3.12" -idna==3.4 ; python_version >= "3.10" and python_version < "3.12" +async-timeout==4.0.3 ; python_version >= "3.10" and python_full_version <= "3.11.2" +attrs==23.2.0 ; python_version >= "3.10" and python_version < "3.12" +dill==0.3.8 ; python_version >= "3.10" and python_version < "3.12" +frozenlist==1.4.1 ; python_version >= "3.10" and python_version < "3.12" +idna==3.6 ; python_version >= "3.10" and python_version < "3.12" multidict==6.0.4 ; python_version >= "3.10" and python_version < "3.12" -multiprocess==0.70.15 ; python_version >= "3.10" and python_version < "3.12" -numpy==1.23.5 ; python_version >= "3.10" and python_version < "3.12" -pathos==0.3.0 ; python_version >= "3.10" and python_version < "3.12" -pox==0.3.3 ; python_version >= "3.10" and python_version < "3.12" -ppft==1.7.6.7 ; python_version >= "3.10" and python_version < "3.12" -python-dotenv==1.0.0 ; python_version >= "3.10" and python_version < "3.12" -redis==4.5.5 ; python_version >= "3.10" and python_version < "3.12" +multiprocess==0.70.16 ; python_version >= "3.10" and python_version < "3.12" +numpy==1.24.3 ; python_version >= "3.10" and python_version < "3.12" +pathos==0.3.2 ; python_version >= "3.10" and python_version < "3.12" +pox==0.3.4 ; python_version >= "3.10" and python_version < "3.12" +ppft==1.7.6.8 ; python_version >= "3.10" and python_version < "3.12" +python-dotenv==1.0.1 ; python_version >= "3.10" and python_version < "3.12" +redis==5.0.1 ; python_version >= "3.10" and python_version < "3.12" semantic-version==2.10.0 ; python_version >= "3.10" and python_version < "3.12" -yarl==1.8.1 ; python_version >= "3.10" and python_version < "3.12" +yarl==1.9.4 ; python_version >= "3.10" and python_version < "3.12" diff --git a/test-engine-core-modules/poetry.lock b/test-engine-core-modules/poetry.lock index 9c30832d9..de4c1c857 100644 --- a/test-engine-core-modules/poetry.lock +++ b/test-engine-core-modules/poetry.lock @@ -1,22 +1,35 @@ -# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.12" -content-hash = "af57e05bf725ee77a1fc1991e8755cda8651a2a7b45c6874cf18da67170728b2" +content-hash = "c7e53a57b58cfc7672090642606ec5d4e3c5a2397fa17ba4878f7ba1146eda43" diff --git a/test-engine-core-modules/pyproject.toml b/test-engine-core-modules/pyproject.toml index d715b0ee2..e413e5d7a 100644 --- a/test-engine-core-modules/pyproject.toml +++ b/test-engine-core-modules/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "test-engine-core-modules" -version = "0.9.0" +version = "0.10.0" description = "" authors = ["AI Verify"] readme = "README.md" @@ -8,27 +8,30 @@ packages = [{include = "test_engine_core_modules"}] [tool.poetry.dependencies] python = ">=3.10,<3.12" -joblib = "1.2.0" -libclang = "15.0.6.1" -numpy = "1.23.5" -scikit-learn = "1.2.2" -setuptools = "68.0.0" -lightgbm = "3.3.5" -xgboost = "1.7.4" -tensorflow = "2.12.0" -pandas = "1.5.3" -scipy = "1.11.1" -httpx = "0.24.1" -openapi-schema-validator = "0.6.0" +joblib = "1.3.2" +libclang = "16.0.6" +numpy = "1.24.3" +scikit-learn = "1.4.0" +setuptools = "69.0.3" +lightgbm = "4.3.0" +xgboost = "2.0.3" +tensorflow = "2.13.0" +pandas = "2.0.3" +scipy = "1.12.0" +httpx = "0.26.0" +openapi-schema-validator = "0.6.2" aiopenapi3 = {git = "https://github.com/commonism/aiopenapi3.git", rev = "8e9591162d1cef8cfc8e7840f34eb20c84af8c24"} +aiometer = "0.5.0" [tool.poetry.group.dev.dependencies] -black = "23.1.0" -pytest = "7.2.2" -coverage = "7.2.2" -pytest-mock = "3.10.0" -pre-commit = "3.0.4" +black = "^23.10.1" +isort = "^5.12.0" +pre-commit = "^3.5.0" +pytest = "^7.4.3" +coverage = "^7.3.2" +pytest-mock = "^3.12.0" +flake8 = "^6.1.0" [build-system] requires = ["poetry-core"] diff --git a/test-engine-core-modules/requirements.txt b/test-engine-core-modules/requirements.txt index 53b937cd5..a9d8ee528 100644 --- a/test-engine-core-modules/requirements.txt +++ b/test-engine-core-modules/requirements.txt @@ -1,75 +1,74 @@ -absl-py==1.4.0 ; python_version >= "3.10" and python_version < "3.12" -aiometer +absl-py==2.1.0 ; python_version >= "3.10" and python_version < "3.12" +aiometer==0.5.0 ; python_version >= "3.10" and python_version < "3.12" aiopenapi3 @ git+https://github.com/commonism/aiopenapi3.git@8e9591162d1cef8cfc8e7840f34eb20c84af8c24 ; python_version >= "3.10" and python_version < "3.12" -anyio==3.7.1 ; python_version >= "3.10" and python_version < "3.12" +anyio==4.2.0 ; python_version >= "3.10" and python_version < "3.12" astunparse==1.6.3 ; python_version >= "3.10" and python_version < "3.12" -attrs==23.1.0 ; python_version >= "3.10" and python_version < "3.12" -cachetools==5.3.1 ; python_version >= "3.10" and python_version < "3.12" -certifi==2023.7.22 ; python_version >= "3.10" and python_version < "3.12" -charset-normalizer==3.2.0 ; python_version >= "3.10" and python_version < "3.12" -dnspython==2.4.1 ; python_version >= "3.10" and python_version < "3.12" -email-validator==2.0.0.post2 ; python_version >= "3.10" and python_version < "3.12" -exceptiongroup==1.1.2 ; python_version >= "3.10" and python_version < "3.11" +attrs==23.2.0 ; python_version >= "3.10" and python_version < "3.12" +cachetools==5.3.2 ; python_version >= "3.10" and python_version < "3.12" +certifi==2023.11.17 ; python_version >= "3.10" and python_version < "3.12" +charset-normalizer==3.3.2 ; python_version >= "3.10" and python_version < "3.12" +dnspython==2.5.0 ; python_version >= "3.10" and python_version < "3.12" +email-validator==2.1.0.post1 ; python_version >= "3.10" and python_version < "3.12" +exceptiongroup==1.2.0 ; python_version >= "3.10" and python_version < "3.11" flatbuffers==23.5.26 ; python_version >= "3.10" and python_version < "3.12" gast==0.4.0 ; python_version >= "3.10" and python_version < "3.12" google-auth-oauthlib==1.0.0 ; python_version >= "3.10" and python_version < "3.12" -google-auth==2.22.0 ; python_version >= "3.10" and python_version < "3.12" +google-auth==2.27.0 ; python_version >= "3.10" and python_version < "3.12" google-pasta==0.2.0 ; python_version >= "3.10" and python_version < "3.12" -grpcio==1.56.2 ; python_version >= "3.10" and python_version < "3.12" +grpcio==1.60.0 ; python_version >= "3.10" and python_version < "3.12" h11==0.14.0 ; python_version >= "3.10" and python_version < "3.12" -h5py==3.9.0 ; python_version >= "3.10" and python_version < "3.12" -httpcore==0.17.3 ; python_version >= "3.10" and python_version < "3.12" -httpx==0.24.1 ; python_version >= "3.10" and python_version < "3.12" -idna==3.4 ; python_version >= "3.10" and python_version < "3.12" -jax==0.4.13 ; python_version >= "3.10" and python_version < "3.12" +h5py==3.10.0 ; python_version >= "3.10" and python_version < "3.12" +httpcore==1.0.2 ; python_version >= "3.10" and python_version < "3.12" +httpx==0.26.0 ; python_version >= "3.10" and python_version < "3.12" +idna==3.6 ; python_version >= "3.10" and python_version < "3.12" jmespath==1.0.1 ; python_version >= "3.10" and python_version < "3.12" -joblib==1.2.0 ; python_version >= "3.10" and python_version < "3.12" -jsonschema-specifications==2023.7.1 ; python_version >= "3.10" and python_version < "3.12" -jsonschema==4.18.4 ; python_version >= "3.10" and python_version < "3.12" -keras==2.12.0 ; python_version >= "3.10" and python_version < "3.12" -libclang==15.0.6.1 ; python_version >= "3.10" and python_version < "3.12" -lightgbm==3.3.5 ; python_version >= "3.10" and python_version < "3.12" -markdown==3.4.4 ; python_version >= "3.10" and python_version < "3.12" -markupsafe==2.1.3 ; python_version >= "3.10" and python_version < "3.12" -ml-dtypes==0.2.0 ; python_version >= "3.10" and python_version < "3.12" -more-itertools==10.0.0 ; python_version >= "3.10" and python_version < "3.12" +joblib==1.3.2 ; python_version >= "3.10" and python_version < "3.12" +jsonschema-specifications==2023.12.1 ; python_version >= "3.10" and python_version < "3.12" +jsonschema==4.21.1 ; python_version >= "3.10" and python_version < "3.12" +keras==2.13.1 ; python_version >= "3.10" and python_version < "3.12" +libclang==16.0.6 ; python_version >= "3.10" and python_version < "3.12" +lightgbm==4.3.0 ; python_version >= "3.10" and python_version < "3.12" +markdown==3.5.2 ; python_version >= "3.10" and python_version < "3.12" +markupsafe==2.1.4 ; python_version >= "3.10" and python_version < "3.12" +more-itertools==10.2.0 ; python_version >= "3.10" and python_version < "3.12" multidict==6.0.4 ; python_version >= "3.10" and python_version < "3.12" -numpy==1.23.5 ; python_version >= "3.10" and python_version < "3.12" +numpy==1.24.3 ; python_version >= "3.10" and python_version < "3.12" oauthlib==3.2.2 ; python_version >= "3.10" and python_version < "3.12" -openapi-schema-validator==0.6.0 ; python_version >= "3.10" and python_version < "3.12" +openapi-schema-validator==0.6.2 ; python_version >= "3.10" and python_version < "3.12" opt-einsum==3.3.0 ; python_version >= "3.10" and python_version < "3.12" -packaging==23.1 ; python_version >= "3.10" and python_version < "3.12" -pandas==1.5.3 ; python_version >= "3.10" and python_version < "3.12" -protobuf==4.23.4 ; python_version >= "3.10" and python_version < "3.12" +packaging==23.2 ; python_version >= "3.10" and python_version < "3.12" +pandas==2.0.3 ; python_version >= "3.10" and python_version < "3.12" +protobuf==4.25.2 ; python_version >= "3.10" and python_version < "3.12" pyasn1-modules==0.3.0 ; python_version >= "3.10" and python_version < "3.12" -pyasn1==0.5.0 ; python_version >= "3.10" and python_version < "3.12" -pydantic==1.10.12 ; python_version >= "3.10" and python_version < "3.12" -pydantic[email]==1.10.12 ; python_version >= "3.10" and python_version < "3.12" +pyasn1==0.5.1 ; python_version >= "3.10" and python_version < "3.12" +pydantic==1.10.14 ; python_version >= "3.10" and python_version < "3.12" +pydantic[email]==1.10.14 ; python_version >= "3.10" and python_version < "3.12" python-dateutil==2.8.2 ; python_version >= "3.10" and python_version < "3.12" -pytz==2023.3 ; python_version >= "3.10" and python_version < "3.12" +pytz==2023.4 ; python_version >= "3.10" and python_version < "3.12" pyyaml==6.0.1 ; python_version >= "3.10" and python_version < "3.12" -referencing==0.30.0 ; python_version >= "3.10" and python_version < "3.12" +referencing==0.33.0 ; python_version >= "3.10" and python_version < "3.12" requests-oauthlib==1.3.1 ; python_version >= "3.10" and python_version < "3.12" requests==2.31.0 ; python_version >= "3.10" and python_version < "3.12" rfc3339-validator==0.1.4 ; python_version >= "3.10" and python_version < "3.12" -rpds-py==0.9.2 ; python_version >= "3.10" and python_version < "3.12" +rpds-py==0.17.1 ; python_version >= "3.10" and python_version < "3.12" rsa==4.9 ; python_version >= "3.10" and python_version < "3.12" -scikit-learn==1.2.2 ; python_version >= "3.10" and python_version < "3.12" -scipy==1.11.1 ; python_version >= "3.10" and python_version < "3.12" -setuptools==68.0.0 ; python_version >= "3.10" and python_version < "3.12" +scikit-learn==1.4.0 ; python_version >= "3.10" and python_version < "3.12" +scipy==1.12.0 ; python_version >= "3.10" and python_version < "3.12" +setuptools==69.0.3 ; python_version >= "3.10" and python_version < "3.12" six==1.16.0 ; python_version >= "3.10" and python_version < "3.12" sniffio==1.3.0 ; python_version >= "3.10" and python_version < "3.12" -tensorboard-data-server==0.7.1 ; python_version >= "3.10" and python_version < "3.12" -tensorboard==2.12.3 ; python_version >= "3.10" and python_version < "3.12" -tensorflow-estimator==2.12.0 ; python_version >= "3.10" and python_version < "3.12" -tensorflow-io-gcs-filesystem==0.32.0 ; python_version >= "3.10" and python_version < "3.12" and platform_machine != "arm64" or python_version >= "3.10" and python_version < "3.12" and platform_system != "Darwin" -tensorflow==2.12.0 ; python_version >= "3.10" and python_version < "3.12" -termcolor==2.3.0 ; python_version >= "3.10" and python_version < "3.12" +tensorboard-data-server==0.7.2 ; python_version >= "3.10" and python_version < "3.12" +tensorboard==2.13.0 ; python_version >= "3.10" and python_version < "3.12" +tensorflow-estimator==2.13.0 ; python_version >= "3.10" and python_version < "3.12" +tensorflow-io-gcs-filesystem==0.35.0 ; python_version >= "3.10" and python_version < "3.12" and platform_machine != "arm64" or python_version >= "3.10" and python_version < "3.12" and platform_system != "Darwin" +tensorflow==2.13.0 ; python_version >= "3.10" and python_version < "3.12" +termcolor==2.4.0 ; python_version >= "3.10" and python_version < "3.12" threadpoolctl==3.2.0 ; python_version >= "3.10" and python_version < "3.12" -typing-extensions==4.7.1 ; python_version >= "3.10" and python_version < "3.12" -urllib3==1.26.16 ; python_version >= "3.10" and python_version < "3.12" -werkzeug==2.3.6 ; python_version >= "3.10" and python_version < "3.12" -wheel==0.41.0 ; python_version >= "3.10" and python_version < "3.12" -wrapt==1.14.1 ; python_version >= "3.10" and python_version < "3.12" -xgboost==1.7.4 ; python_version >= "3.10" and python_version < "3.12" +typing-extensions==4.5.0 ; python_version >= "3.10" and python_version < "3.12" +tzdata==2023.4 ; python_version >= "3.10" and python_version < "3.12" +urllib3==2.1.0 ; python_version >= "3.10" and python_version < "3.12" +werkzeug==3.0.1 ; python_version >= "3.10" and python_version < "3.12" +wheel==0.42.0 ; python_version >= "3.10" and python_version < "3.12" +wrapt==1.16.0 ; python_version >= "3.10" and python_version < "3.12" +xgboost==2.0.3 ; python_version >= "3.10" and python_version < "3.12" yarl==1.8.1 ; python_version >= "3.10" and python_version < "3.12" diff --git a/test-engine-core/dist/test_engine_core-0.10.0-py3-none-any.whl b/test-engine-core/dist/test_engine_core-0.10.0-py3-none-any.whl new file mode 100644 index 000000000..85e12e67a Binary files /dev/null and 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">=3.8" +files = [ + {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"}, + {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"}, +] + [[package]] name = "virtualenv" -version = "20.24.2" +version = "20.25.0" description = "Virtual Python Environment builder" -category = "dev" optional = false python-versions = ">=3.7" files = [ - {file = "virtualenv-20.24.2-py3-none-any.whl", hash = "sha256:43a3052be36080548bdee0b42919c88072037d50d56c28bd3f853cbe92b953ff"}, - {file = "virtualenv-20.24.2.tar.gz", hash = "sha256:fd8a78f46f6b99a67b7ec5cf73f92357891a7b3a40fd97637c27f854aae3b9e0"}, + {file = "virtualenv-20.25.0-py3-none-any.whl", hash = "sha256:4238949c5ffe6876362d9c0180fc6c3a824a7b12b80604eeb8085f2ed7460de3"}, + {file = "virtualenv-20.25.0.tar.gz", hash = "sha256:bf51c0d9c7dd63ea8e44086fa1e4fb1093a31e963b86959257378aef020e1f1b"}, ] [package.dependencies] distlib = ">=0.3.7,<1" filelock = ">=3.12.2,<4" -platformdirs = ">=3.9.1,<4" +platformdirs = ">=3.9.1,<5" [package.extras] -docs = ["furo (>=2023.5.20)", "proselint (>=0.13)", "sphinx (>=7.0.1)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] +docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.12" -content-hash = "fddbdef3fec99325a04226ea66349d63a7c3bbd53e1d6520dc3325899ff6558d" +content-hash = "70992fb0a4a4eb45b6641c6c3210469cec26d6bd9dd5f6f8036c4d9c8f182345" diff --git a/test-engine-core/pyproject.toml b/test-engine-core/pyproject.toml index 80cefb86a..ccbe402e1 100644 --- a/test-engine-core/pyproject.toml +++ b/test-engine-core/pyproject.toml @@ -1,25 +1,66 @@ +[project] +name = "test-engine-core" +version = "0.10.0" +authors = [ + { name="AI Verify" } +] +description = "This core project will support critical functionalities to support plugins and apps." +dependencies = [ + "async-timeout==4.0.3", + "attrs==23.2.0", + "jsonschema-specifications==2023.12.1", + "jsonschema==4.21.1", + "numpy==1.24.3", + "redis==5.0.1", + "referencing==0.33.0", + "rpds-py==0.17.1", +] +readme = "README.md" +requires-python = ">=3.10,<3.12" +license = { text = "Apache Software License 2.0" } +classifiers = [ + "Development Status :: 4 - Beta", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "License :: OSI Approved :: Apache Software License" +] + [tool.poetry] name = "test-engine-core" -version = "0.9.0" +version = "0.10.0" description = "This core project will support critical functionalities to support plugins and apps." authors = ["AI Verify"] readme = "README.md" -packages = [{include = "test_engine_core"}] [tool.poetry.dependencies] python = ">=3.10,<3.12" -redis = "4.5.5" -numpy = "1.23.5" -jsonschema = "4.18.4" - +redis = "5.0.1" +numpy = "1.24.3" +jsonschema = "4.21.1" [tool.poetry.group.dev.dependencies] -black = "23.1.0" -pytest = "7.2.2" -coverage = "7.2.2" -pytest-mock = "3.10.0" -pre-commit = "3.0.4" +black = "^23.10.1" +isort = "^5.12.0" +pre-commit = "^3.5.0" +pytest = "^7.4.3" +coverage = "^7.3.2" +pytest-mock = "^3.12.0" +flake8 = "^6.1.0" + +[tool.hatch.metadata] +allow-direct-references = true + +[tool.hatch.build.targets.sdist] +include = [ + "test_engine_core/", + "tests/", + "AUTHORS.rst", + "LICENSE", + "pyproject.toml", + "README.md", +] [build-system] -requires = ["poetry-core"] -build-backend = "poetry.core.masonry.api" +requires = ["hatchling"] +build-backend = "hatchling.build" diff --git a/test-engine-core/requirements.txt b/test-engine-core/requirements.txt index db6a95f72..829242ea6 100644 --- a/test-engine-core/requirements.txt +++ b/test-engine-core/requirements.txt @@ -1,8 +1,8 @@ -async-timeout==4.0.2 ; python_version >= "3.10" and python_full_version <= "3.11.2" -attrs==23.1.0 ; python_version >= "3.10" and python_version < "3.12" -jsonschema-specifications==2023.7.1 ; python_version >= "3.10" and python_version < "3.12" -jsonschema==4.18.4 ; python_version >= "3.10" and python_version < "3.12" -numpy==1.23.5 ; python_version >= "3.10" and python_version < "3.12" -redis==4.5.5 ; python_version >= "3.10" and python_version < "3.12" -referencing==0.30.0 ; python_version >= "3.10" and python_version < "3.12" -rpds-py==0.9.2 ; python_version >= "3.10" and python_version < "3.12" +async-timeout==4.0.3 ; python_version >= "3.10" and python_full_version <= "3.11.2" +attrs==23.2.0 ; python_version >= "3.10" and python_version < "3.12" +jsonschema-specifications==2023.12.1 ; python_version >= "3.10" and python_version < "3.12" +jsonschema==4.21.1 ; python_version >= "3.10" and python_version < "3.12" +numpy==1.24.3 ; python_version >= "3.10" and python_version < "3.12" +redis==5.0.1 ; python_version >= "3.10" and python_version < "3.12" +referencing==0.33.0 ; python_version >= "3.10" and python_version < "3.12" +rpds-py==0.17.1 ; python_version >= "3.10" and python_version < "3.12" diff --git a/test-engine-core/setup.py b/test-engine-core/setup.py deleted file mode 100644 index 7d4f82575..000000000 --- a/test-engine-core/setup.py +++ /dev/null @@ -1,31 +0,0 @@ -from distutils.core import setup - -setup( - name="test_engine_core", - version="0.9.0", - packages=[ - "test_engine_core", - "test_engine_core.utils", - "test_engine_core.logging", - "test_engine_core.logging.enums", - "test_engine_core.network", - "test_engine_core.network.redis", - "test_engine_core.plugins", - "test_engine_core.plugins.metadata", - "test_engine_core.plugins.enums", - "test_engine_core.interfaces", - "test_engine_core.converters", - ], - license="Apache Software License 2.0", - author="AI Verify", - description="This core project will support critical functionalities to support plugins and apps", - python_requires=">=3.7, <4", - install_requires=[ - "async-timeout==4.0.2", - "attrs==23.1.0", - "jsonschema==4.17.3", - "numpy==1.23.5", - "pyrsistent==0.19.3", - "redis==4.5.5", - ], -)