From f3246923b804b29c9cce168fe52c6ae73f0ddc73 Mon Sep 17 00:00:00 2001 From: Emil Daniel Badura Date: Mon, 27 May 2024 23:13:01 +0200 Subject: [PATCH 01/59] add llama3 google colab script + llm inference script --- .dockerignore | 13 - .env.example | 48 - .eslintrc.js | 22 - .github/ISSUE_TEMPLATE/bug_report.yml | 37 - .github/ISSUE_TEMPLATE/feature_request.yml | 29 - .github/workflows/ci.yml | 62 - .gitignore | 54 - .npmrc | 18 - .nvmrc | 1 - .vscode/settings.json | 2 +- Dockerfile | 65 - LICENSE | 21 - Llama3_alexa.ipynb:Zone.Identifier | 3 + apps/command-to-action/Dockerfile | 12 - apps/command-to-action/README.md | 25 - apps/command-to-action/api/index.py | 154 - .../api/langchain_integration.py | 76 - apps/command-to-action/api/spotify.py | 103 - apps/command-to-action/package.json | 14 - apps/command-to-action/requirements.txt | 7 - apps/command-to-action/run.js | 24 - apps/expo/.expo-shared/assets.json | 4 - apps/expo/.gitignore | 1 - apps/expo/README.md | 93 - apps/expo/app.config.ts | 42 - apps/expo/assets/icon.png | Bin 643629 -> 0 bytes apps/expo/babel.config.js | 34 - apps/expo/eas.json | 29 - apps/expo/expo-plugins/with-modify-gradle.js | 44 - apps/expo/index.tsx | 10 - apps/expo/metro.config.js | 29 - apps/expo/package.json | 68 - apps/expo/src/app/_layout.tsx | 33 - apps/expo/src/app/index.tsx | 166 - apps/expo/src/utils/api.tsx | 77 - apps/expo/tailwind.config.js | 16 - apps/expo/tsconfig.json | 13 - apps/nextjs/README.md | 20 - apps/nextjs/build-ext.sh | 11 - apps/nextjs/next.config.mjs | 18 - apps/nextjs/package.json | 57 - apps/nextjs/postcss.config.cjs | 2 - apps/nextjs/public/android-chrome-192x192.png | Bin 38576 -> 0 bytes apps/nextjs/public/android-chrome-512x512.png | Bin 215402 -> 0 bytes apps/nextjs/public/apple-touch-icon.png | Bin 34595 -> 0 bytes apps/nextjs/public/favicon-16x16.png | Bin 578 -> 0 bytes apps/nextjs/public/favicon-32x32.png | Bin 1745 -> 0 bytes apps/nextjs/public/favicon.ico | Bin 15406 -> 0 bytes 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- packages/auth/package.json | 24 - packages/auth/src/AuthProvider.tsx | 39 - packages/auth/src/auth.ts | 14 - packages/auth/src/firebase.ts | 18 - packages/auth/src/useSession.ts | 5 - packages/auth/tsconfig.json | 4 - packages/config/eslint/index.js | 30 - packages/config/eslint/package.json | 19 - packages/config/tailwind/index.ts | 9 - packages/config/tailwind/package.json | 15 - packages/config/tailwind/postcss.js | 6 - packages/db/index.ts | 8 - packages/db/package.json | 16 - packages/db/tsconfig.json | 4 - packages/github/.gitignore | 1 - packages/github/get_app_jwt.py | 35 - packages/github/get_delivery.py | 22 - packages/github/list_deliveries.py | 17 - packages/github/redeliver.py | 22 - packages/github/requirements.txt | 1 - pnpm-lock.yaml | 16082 ---------------- pnpm-workspace.yaml | 9 - prettier.config.cjs | 42 - renovate.json | 13 - tsconfig.json | 21 - turbo.json | 67 - use-llm.py | 62 + 124 files changed, 8640 insertions(+), 20148 deletions(-) delete mode 100644 .dockerignore delete mode 100644 .env.example delete mode 100644 .eslintrc.js delete mode 100644 .github/ISSUE_TEMPLATE/bug_report.yml delete mode 100644 .github/ISSUE_TEMPLATE/feature_request.yml delete mode 100644 .github/workflows/ci.yml delete mode 100644 .gitignore delete mode 100644 .npmrc delete mode 100644 .nvmrc delete mode 100644 Dockerfile delete mode 100644 LICENSE create mode 100644 Llama3_alexa.ipynb:Zone.Identifier delete mode 100644 apps/command-to-action/Dockerfile delete mode 100644 apps/command-to-action/README.md delete mode 100644 apps/command-to-action/api/index.py delete mode 100644 apps/command-to-action/api/langchain_integration.py delete mode 100644 apps/command-to-action/api/spotify.py delete mode 100644 apps/command-to-action/package.json delete mode 100644 apps/command-to-action/requirements.txt delete mode 100644 apps/command-to-action/run.js delete mode 100644 apps/expo/.expo-shared/assets.json delete mode 100644 apps/expo/.gitignore delete mode 100644 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100644 tsconfig.json delete mode 100644 turbo.json create mode 100644 use-llm.py diff --git a/.dockerignore b/.dockerignore deleted file mode 100644 index 66a675f..0000000 --- a/.dockerignore +++ /dev/null @@ -1,13 +0,0 @@ -node_modules/ -./.gitignore -vercel.json -.github -.vscode -cd/ -apps/expo/ -apps/sample/ -apps/nextjs/.turbo/ -apps/nextjs/.next/ -apps/nextjs/node_modules/ -apps/nextjs/README.md - diff --git a/.env.example b/.env.example deleted file mode 100644 index 82f0f1b..0000000 --- a/.env.example +++ /dev/null @@ -1,48 +0,0 @@ -# Since .env is gitignored, you can use .env.example to build a new `.env` file when you clone the repo. -# Keep this file up-to-date when you add new variables to \`.env\`. - -# This file will be committed to version control, so make sure not to have any secrets in it. -# If you are cloning this repo, create a copy of this file named `.env` and populate it with your secrets. - -# We use dotenv to load environment variables from a .env file into system environment variables. - -# Redis Database -DATABASE_URL="127.0.0.1:6379" - -# Public Firebase Config -NEXT_PUBLIC_API_KEY= -NEXT_PUBLIC_AUTH_DOMAIN= -NEXT_PUBLIC_PROJECT_ID= -NEXT_PUBLIC_STORAGE_BUCKET= -NEXT_PUBLIC_MESSAGING_SENDER_ID= -NEXT_PUBLIC_APP_ID= - -# Base URL for API requests -NEXT_PUBLIC_BASE_URL="http://localhost:3000" - -# Secret Firebase Config -FIREBASE_PROJECT_ID= -FIREBASE_CLIENT_EMAIL= -FIREBASE_PRIVATE_KEY= - -# Public Google Sign In Config (for Expo) -ANDROID_GOOGLE_CLIENT_ID= -IOS_GOOGLE_CLIENT_ID= -EXPO_GOOGLE_CLIENT_ID= - -# OpenAI Secret Credentials (for sample Speech-to-Text and Call-to-Action APIs) -OPENAI_API_KEY= - -# Spotify API Credentials -SPOTIFY_CLIENT_ID= -SPOTIFY_CLIENT_SECRET= -# Microservices URLs -SPEECH_TO_TEXT_URL="http://localhost:3001/speech-to-text" -COMMAND_TO_ACTION_URL="http://localhost:3001/command-to-action" -TEXT_TO_SPEECH_URL="http://localhost:3001/text-to-speech" - -# Chrome extension variables -CRX_ID= -CRX_GOOGLE_CLIENT_ID= -CRX_PUBLIC_KEY= -CRX_PRIVATE_KEY= \ No newline at end of file diff --git a/.eslintrc.js b/.eslintrc.js deleted file mode 100644 index 5e4d09f..0000000 --- a/.eslintrc.js +++ /dev/null @@ -1,22 +0,0 @@ -/** @type {import("eslint").Linter.Config} */ -const config = { - root: true, - extends: ["@acme/eslint-config"], // uses the config in `packages/config/eslint` - parser: "@typescript-eslint/parser", - parserOptions: { - ecmaVersion: "latest", - tsconfigRootDir: __dirname, - project: [ - "./tsconfig.json", - "./apps/*/tsconfig.json", - "./packages/*/tsconfig.json", - ], - }, - settings: { - next: { - rootDir: ["apps/nextjs"], - }, - }, -}; - -module.exports = config; diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml deleted file mode 100644 index 54199a8..0000000 --- a/.github/ISSUE_TEMPLATE/bug_report.yml +++ /dev/null @@ -1,37 +0,0 @@ -name: 🐞 Bug Report -description: Create a bug report to help us improve -title: "bug: " -labels: ["🐞❔ unconfirmed bug"] -body: - - type: textarea - attributes: - label: Provide environment information - description: | - Run this command in your project root and paste the results in a code block: - ```bash - npx envinfo --system --binaries - ``` - validations: - required: true - - type: textarea - attributes: - label: Describe the bug - description: A clear and concise description of the bug, as well as what you expected to happen when encountering it. - validations: - required: true - - type: input - attributes: - label: Link to reproduction - description: Please provide a link to a reproduction of the bug. Issues without a reproduction repo may be ignored. - validations: - required: true - - type: textarea - attributes: - label: To reproduce - description: Describe how to reproduce your bug. Steps, code snippets, reproduction repos etc. - validations: - required: true - - type: textarea - attributes: - label: Additional information - description: Add any other information related to the bug here, screenshots if applicable. diff --git a/.github/ISSUE_TEMPLATE/feature_request.yml b/.github/ISSUE_TEMPLATE/feature_request.yml deleted file mode 100644 index 97fa0cb..0000000 --- a/.github/ISSUE_TEMPLATE/feature_request.yml +++ /dev/null @@ -1,29 +0,0 @@ -# This template is heavily inspired by the Next.js's template: -# See here: https://github.com/vercel/next.js/blob/canary/.github/ISSUE_TEMPLATE/3.feature_request.yml - -name: 🛠 Feature Request -description: Create a feature request for the core packages -title: 'feat: ' -labels: ['✨ enhancement'] -body: - - type: markdown - attributes: - value: | - Thank you for taking the time to file a feature request. Please fill out this form as completely as possible. - - type: textarea - attributes: - label: Describe the feature you'd like to request - description: Please describe the feature as clear and concise as possible. Remember to add context as to why you believe this feature is needed. - validations: - required: true - - type: textarea - attributes: - label: Describe the solution you'd like to see - description: Please describe the solution you would like to see. Adding example usage is a good way to provide context. - validations: - required: true - - type: textarea - attributes: - label: Additional information - description: Add any other information related to the feature here. If your feature request is related to any issues or discussions, link them here. - diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml deleted file mode 100644 index 0928e92..0000000 --- a/.github/workflows/ci.yml +++ /dev/null @@ -1,62 +0,0 @@ -name: CI - -on: - pull_request: - branches: ["*"] - push: - branches: ["main"] - merge_group: - -# You can leverage Vercel Remote Caching with Turbo to speed up your builds -# @link https://turborepo.org/docs/core-concepts/remote-caching#remote-caching-on-vercel-builds -env: - TURBO_TOKEN: ${{ secrets.TURBO_TOKEN }} - TURBO_TEAM: ${{ secrets.TURBO_TEAM }} - -jobs: - build-lint: - env: - DATABASE_URL: file:./db.sqlite - runs-on: ubuntu-latest - - steps: - - name: Checkout repo - uses: actions/checkout@v3 - - - name: Setup pnpm - uses: pnpm/action-setup@v2.2.4 - - - name: Setup Node 18 - uses: actions/setup-node@v3 - with: - node-version: 18 - - - name: Get pnpm store directory - id: pnpm-cache - run: | - echo "pnpm_cache_dir=$(pnpm store path)" >> $GITHUB_OUTPUT - - - name: Setup pnpm cache - uses: actions/cache@v3 - with: - path: ${{ steps.pnpm-cache.outputs.pnpm_cache_dir }} - key: ${{ runner.os }}-pnpm-store-${{ hashFiles('**/pnpm-lock.yaml') }} - restore-keys: | - ${{ runner.os }}-pnpm-store- - - - name: Install deps (with cache) - run: pnpm install - - # Normally, this would be done as part of the turbo pipeline - however since the Expo app doesn't depend on `@acme/db` it doesn't care. - # TODO: Free for all to find a better solution here. - - name: Generate Prisma Client - run: pnpm turbo db:generate - - - name: Lint and type-check - run: pnpm turbo lint type-check - env: - SKIP_ENV_VALIDATION: true - - # Disable manypkg check as expo has special requirements - # - name: Check workspaces - # run: pnpm manypkg check diff --git a/.gitignore b/.gitignore deleted file mode 100644 index f7a2a4c..0000000 --- a/.gitignore +++ /dev/null @@ -1,54 +0,0 @@ -# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. - -# dependencies -node_modules -.pnp -.pnp.js - -# testing -coverage - -# database -**/prisma/db.sqlite -**/prisma/db.sqlite-journal - -# next.js -.next/ -out/ -next-env.d.ts - -# expo -.expo/ -dist/ - -# production -build - -# misc -.DS_Store -*.pem - -# debug -npm-debug.log* -yarn-debug.log* -yarn-error.log* -.pnpm-debug.log* - -# local env files -.env -.env*.local - -# vercel -.vercel - -# typescript -*.tsbuildinfo - -# turbo -.turbo - -# firebase -service_account.json - -# python -__pycache__ diff --git a/.npmrc b/.npmrc deleted file mode 100644 index db24b7f..0000000 --- a/.npmrc +++ /dev/null @@ -1,18 +0,0 @@ -# Expo doesn't play nice with pnpm by default. -# The symbolic links of pnpm break the rules of Expo monorepos. -# @link https://docs.expo.dev/guides/monorepos/#common-issues -node-linker=hoisted - -# In order to cache Prisma correctly -public-hoist-pattern[]=*prisma* - -# FIXME: @prisma/client is required by the @acme/auth, -# but we don't want it installed there since it's already -# installed in the @acme/db package -strict-peer-dependencies=false - -# Prevent pnpm from adding the "workspace:"" prefix to local -# packages as it casues issues with manypkg -# @link https://pnpm.io/npmrc#prefer-workspace-packages -save-workspace-protocol=false -prefer-workspace-packages=true \ No newline at end of file diff --git a/.nvmrc b/.nvmrc deleted file mode 100644 index 25bf17f..0000000 --- a/.nvmrc +++ /dev/null @@ -1 +0,0 @@ -18 \ No newline at end of file diff --git a/.vscode/settings.json b/.vscode/settings.json index fea9687..7e58777 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -1,6 +1,6 @@ { "editor.codeActionsOnSave": { - "source.fixAll.eslint": true + "source.fixAll.eslint": "explicit" }, "editor.defaultFormatter": "esbenp.prettier-vscode", "editor.formatOnSave": true, diff --git a/Dockerfile b/Dockerfile deleted file mode 100644 index 8a09ab9..0000000 --- a/Dockerfile +++ /dev/null @@ -1,65 +0,0 @@ -FROM node:18-alpine AS base - -ARG NEXT_PUBLIC_API_KEY -ARG NEXT_PUBLIC_AUTH_DOMAIN -ARG NEXT_PUBLIC_PROJECT_ID -ARG NEXT_PUBLIC_STORAGE_BUCKET -ARG NEXT_PUBLIC_MESSAGING_SENDER_ID -ARG NEXT_PUBLIC_APP_ID -ARG NEXT_PUBLIC_BASE_URL - -ENV NEXT_PUBLIC_API_KEY=$NEXT_PUBLIC_API_KEY -ENV NEXT_PUBLIC_AUTH_DOMAIN=$NEXT_PUBLIC_AUTH_DOMAIN -ENV NEXT_PUBLIC_PROJECT_ID=$NEXT_PUBLIC_PROJECT_ID -ENV NEXT_PUBLIC_STORAGE_BUCKET=$NEXT_PUBLIC_STORAGE_BUCKET -ENV NEXT_PUBLIC_MESSAGING_SENDER_ID=$NEXT_PUBLIC_MESSAGING_SENDER_ID -ENV NEXT_PUBLIC_APP_ID=$NEXT_PUBLIC_APP_ID -ENV NEXT_PUBLIC_BASE_URL=$NEXT_PUBLIC_BASE_URL - -RUN echo "Building with NEXT_PUBLIC_API_KEY='$NEXT_PUBLIC_API_KEY'" - -FROM base AS builder -RUN apk add --no-cache libc6-compat -RUN apk update -# Set working directory -WORKDIR /app -RUN npm i -g turbo -COPY . . -RUN turbo prune --scope=@acme/nextjs --docker - -# Add lockfile and package.json's of isolated subworkspace -FROM base AS installer -RUN apk add --no-cache libc6-compat -RUN apk update -WORKDIR /app -RUN corepack enable - -# First install the dependencies (as they change less often) -COPY --from=builder /app/out/json/ . -COPY --from=builder /app/out/pnpm-lock.yaml ./pnpm-lock.yaml -COPY --from=builder /app/out/pnpm-workspace.yaml ./pnpm-workspace.yaml -RUN pnpm install - -# Build the project -COPY --from=builder /app/tsconfig.json . -COPY --from=builder /app/out/full/ . -RUN pnpm turbo run build --filter=nextjs... - -FROM base AS runner -WORKDIR /app - -# Don't run production as root -RUN addgroup --system --gid 1001 nodejs -RUN adduser --system --uid 1001 nextjs -USER nextjs - -COPY --from=installer /app/apps/nextjs/next.config.mjs . -COPY --from=installer /app/apps/nextjs/package.json . - -# Automatically leverage output traces to reduce image size -# https://nextjs.org/docs/advanced-features/output-file-tracing -COPY --from=installer --chown=nextjs:nodejs /app/apps/nextjs/.next/standalone ./ -COPY --from=installer --chown=nextjs:nodejs /app/apps/nextjs/.next/static ./apps/nextjs/.next/static -COPY --from=installer --chown=nextjs:nodejs /app/apps/nextjs/public ./apps/nextjs/public - -CMD node apps/nextjs/server.js \ No newline at end of file diff --git a/LICENSE b/LICENSE deleted file mode 100644 index 435503e..0000000 --- a/LICENSE +++ /dev/null @@ -1,21 +0,0 @@ -MIT License - -Copyright (c) 2023 Julius Marminge - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. diff --git a/Llama3_alexa.ipynb:Zone.Identifier b/Llama3_alexa.ipynb:Zone.Identifier new file mode 100644 index 0000000..053d112 --- /dev/null +++ b/Llama3_alexa.ipynb:Zone.Identifier @@ -0,0 +1,3 @@ +[ZoneTransfer] +ZoneId=3 +HostUrl=about:internet diff --git a/apps/command-to-action/Dockerfile b/apps/command-to-action/Dockerfile deleted file mode 100644 index e1ef7c0..0000000 --- a/apps/command-to-action/Dockerfile +++ /dev/null @@ -1,12 +0,0 @@ -FROM python:3.9 - -WORKDIR /app - -COPY requirements.txt . - -RUN pip install -r requirements.txt - -COPY . . - -EXPOSE 3002 -CMD ["python3", "api/index.py"] \ No newline at end of file diff --git a/apps/command-to-action/README.md b/apps/command-to-action/README.md deleted file mode 100644 index e2b7884..0000000 --- a/apps/command-to-action/README.md +++ /dev/null @@ -1,25 +0,0 @@ -# Command to Action Microservice - -## Techstack - -- [Langchain](https://python.langchain.com/docs/get_started/introduction.html) / [OpenAI functions](https://openai.com/blog/function-calling-and-other-api-updates) -- [GPT](https://platform.openai.com/docs/api-reference/introduction) -- [Flask](https://flask.palletsprojects.com/en/2.3.x/) - -## Requirements - -Install the required dependencies listed on requirements.txt: `pip install -r requirements.txt` or `pnpm postinstall`.
-If you face issues make sure packages are installed (`pip show `). Also try to install with `python3 -m pip install -r requirements.txt`. - -## Deployment - -### Development - -`pnpm dev` - -### Production - -Isolated Deployment - -1. Build Dockerimage: `docker build -t cta` -2. Run: `docker run --env-file ../../.env cta` diff --git a/apps/command-to-action/api/index.py b/apps/command-to-action/api/index.py deleted file mode 100644 index ed1238e..0000000 --- a/apps/command-to-action/api/index.py +++ /dev/null @@ -1,154 +0,0 @@ -from flask import Flask, request -from waitress import serve -import sys -import openai -import json -import os - -from spotify import SpotifyPlayer - -# uncomment to allow langchain integration -# from langchain_integration import LangChainIntegration - -app = Flask(__name__) -app.logger.setLevel("INFO") - -# uncomment to allow langchain integration -# langchainIntegration = LangChainIntegration() - -def generate_response_from_openai_functions(text): - functions = [ - { - "name": "spotify_player", - "description": "Plays a song, artist, album, or playlist on Spotify.", - "parameters": { - "type": "object", - "properties": { - "song_title": { - "type": "string", - "description": "The title of the song to play.", - }, - "artist_name": { - "type": "string", - "description": "The name of the artist to play.", - }, - "album_name": { - "type": "string", - "description": "The name of the album to play.", - }, - "playlist_name": { - "type": "string", - "description": "The name of the playlist to play.", - }, - }, - }, - } - ] - messages = [{"role": "user", "content": text}] - response = openai.ChatCompletion.create( - model="gpt-3.5-turbo-0613", - messages=messages, - functions=functions, - function_call="auto", - ) - response_message = response["choices"][0]["message"] - - return response_message -# uncomment to use langchain integration -# def generate_response_from_langchain(text): -# langchainIntegration.spotify_auth = request.headers.get("x-spotify-access-token") -# response = langchainIntegration.agent_executor.run(input=text) -# return response - - -def spotify_player(args, token): - try: - spotify_player = SpotifyPlayer(token) - if args.get("song_title") and args.get("artist_name"): - spotify_result = spotify_player.play_song_from_artist( - args["song_title"], args["artist_name"] - ) - song_title = spotify_result["name"] - artist_name = spotify_result["artists"][0]["name"] - return f"Playing {song_title} by {artist_name} on Spotify." - elif args.get("album_name") and args.get("artist_name"): - spotify_result = spotify_player.play_album_from_artist( - args["album_name"], args["artist_name"] - ) - album_name = spotify_result["name"] - artist_name = spotify_result["artists"][0]["name"] - return f"Playing Album {album_name} by {artist_name} on Spotify." - elif args.get("song_title"): - spotify_result = spotify_player.play_song(args["song_title"]) - song_title = spotify_result["name"] - artist_name = spotify_result["artists"][0]["name"] - return f"Playing {song_title} by {artist_name} on Spotify." - elif args.get("artist_name"): - spotify_result = spotify_player.play_artist(args["artist_name"]) - artist_name = spotify_result["name"] - return f"Playing songs by {artist_name} on Spotify." - elif args.get("album_name"): - spotify_result = spotify_player.play_album(args["album_name"]) - album_name = spotify_result["name"] - artist_name = spotify_result["artists"][0]["name"] - return f"Playing {album_name} by {artist_name} on Spotify." - elif args.get("playlist_name"): - spotify_result = spotify_player.play_playlist(args["playlist_name"]) - playlist_name = spotify_result["name"] - owner_name = spotify_result["owner"]["display_name"] - return f"Playing Playlist {playlist_name} by {owner_name} on Spotify." - else: - return "You need to specify a song, artist, album, or playlist to play on Spotify." - except Exception as e: - return f"Error: {e}" - - -@app.route("/") -def home(): - return {"message": "Hello, World!"} - - -@app.route("/command-to-action", methods=["POST"]) -def generate_cta(): - try: - if request.method != "POST": - return "Method Not Allowed", 405 - - data = request.get_data() - text = data.decode("utf-8") - response_message = generate_response_from_openai_functions(text) - # swrap to use langchain - # response_message = generate_response_from_langchain(text) - - if response_message.get("function_call"): - function_call = response_message["function_call"] - function_name = function_call["name"] - arguments = json.loads(function_call["arguments"]) - if function_name == "spotify_player": - access_token = request.headers.get("x-spotify-access-token") - if access_token and access_token != "undefined": - response_text = spotify_player(arguments, access_token) - else: - base_url = os.environ.get("NEXT_PUBLIC_BASE_URL") - response_text = f"You need to authenticate with Spotify first. Go to {base_url}/spotify to do so." - else: - response_text = "I don't know how to do that yet." - else: - response_text = response_message["content"] - - result = { - "text": response_text, - } - - return {"result": result}, 200 - except Exception as e: - app.logger.error(f"Command to action error: {e}") - return {"error": "Internal Server Error"}, 500 - - -if __name__ == "__main__": - if len(sys.argv) > 1 and sys.argv[1] == "dev": - app.run(host="::", port=3002, debug=True) - else: - app.logger.info(" * Running command to action production server on port 3002") - serve(app, host="0.0.0.0", port=3002) diff --git a/apps/command-to-action/api/langchain_integration.py b/apps/command-to-action/api/langchain_integration.py deleted file mode 100644 index 0be2ca0..0000000 --- a/apps/command-to-action/api/langchain_integration.py +++ /dev/null @@ -1,76 +0,0 @@ -from langchain.agents import ZeroShotAgent, Tool, AgentExecutor, load_tools, initialize_agent, AgentType -from langchain.memory import ConversationBufferMemory -from langchain import LLMChain, LLMMathChain -from langchain.chat_models import ChatOpenAI -from langchain.tools import StructuredTool -from spotify import SpotifyPlayer - -import os - -class LangChainIntegration: - def __init__(self): - self.spotify_auth = None - - llm = ChatOpenAI(temperature=0) - tools = load_tools( - [], - llm=llm, - ) - spotify_tool = StructuredTool.from_function(self.spotify_player, return_direct=True) - llm_math_chain = LLMMathChain(llm=llm) - tools.extend([ - spotify_tool, - Tool( - name="Custom_Calculator", - func=llm_math_chain.run, - description="useful for when you need to answer questions about math", - return_direct=False - ) - ]) - - prefix = """Have a conversation with a human, answering the following questions as best you can. You have access to the following tools:""" - suffix = """Begin!" - - {chat_history} - Question: {input} - {agent_scratchpad}""" - - prompt = ZeroShotAgent.create_prompt( - tools, - prefix=prefix, - suffix=suffix, - input_variables=["input", "chat_history", "agent_scratchpad"] - ) - self.memory = ConversationBufferMemory(memory_key="chat_history") - self.llm_chain = LLMChain(llm=ChatOpenAI(temperature=0), prompt=prompt) - self.agent = ZeroShotAgent(llm_chain=self.llm_chain, tools=tools, verbose=True) - self.agent_chain = AgentExecutor.from_agent_and_tools(agent=self.agent, tools=tools, verbose=True, - memory=self.memory) - self.agent_executor = initialize_agent(tools=tools, llm=llm, agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION, - verbose=True) - - def spotify_player(self, song_title=None, artist_name=None, album_name=None, playlist_name=None): - """Lets you specify a song, artist, album, or playlist to play on Spotify. The input is passed as a simple string of the song title, artist name, album name, or playlist name without json formatting.""" - if self.spotify_auth == "undefined" or self.spotify_auth is None: - base_url = os.environ.get("NEXT_PUBLIC_BASE_URL") - return f"You need to authenticate with Spotify first. Go to {base_url}/spotify to do so." - try: - self.spotify_player = SpotifyPlayer(self.spotify_auth) - except Exception as e: - return f"Error: {e}" - if song_title and artist_name and song_title != "null" and artist_name != "null": - song_info = self.spotify_player.play_song_from_artist(song_title, artist_name) - return f"Playing {song_info['name']} by {song_info['artists'][0]['name']}" - if song_title and song_title != "null": - song_info = self.spotify_player.play_song(song_title) - return f"Playing {song_info['name']} by {song_info['artists'][0]['name']}" - if artist_name and artist_name != "null": - song_info = self.spotify_player.play_artist(artist_name) - return "Playing songs by " + artist_name - if album_name and album_name != "null": - song_info = self.spotify_player.play_album(album_name) - return "Playing the album " + album_name - if playlist_name and playlist_name != "null": - song_info = self.spotify_player.play_playlist(playlist_name) - return "Playing songs from the playlist " + playlist_name - diff --git a/apps/command-to-action/api/spotify.py b/apps/command-to-action/api/spotify.py deleted file mode 100644 index ff06ac8..0000000 --- a/apps/command-to-action/api/spotify.py +++ /dev/null @@ -1,103 +0,0 @@ -import spotipy -import os - - -class SpotifyPlayer: - def __init__(self, auth): - self.auth = auth - self.sp = spotipy.Spotify(self.auth) - # Get the user's available devices - try: - self.devices = self.sp.devices() - except Exception as e: - if str(e).find("The access token expired") != -1: - base_url = os.environ.get("NEXT_PUBLIC_BASE_URL") - raise Exception( - f"Your Spotify access token has expired. Please reauthenticate at {base_url}/spotify." - ) - elif str(e).find("Invalid access token") != -1: - base_url = os.environ.get("NEXT_PUBLIC_BASE_URL") - raise Exception( - f"Invalid spotify access token, please go to {base_url}/spotify to reauthenticate." - ) - raise Exception("Can't get devices list: " + str(e)) - - # assuming the first device is the one we want - try: - self.device_id = self.devices["devices"][0]["id"] - if not self.device_id: - raise Exception( - "No device found, please make sure you have one connected" - ) - except Exception as e: - raise Exception("Can't get device id: " + str(e)) - - def play_song_from_artist(self, song_name, artist_name): - # Search for the song - results = self.sp.search( - q=f"track:{song_name} artist:{artist_name}", limit=1, type="track" - ) - - # Get the first song from the search results - song_uri = results["tracks"]["items"][0]["uri"] - - # Start playback - self.sp.start_playback(device_id=self.device_id, uris=[song_uri]) - return results["tracks"]["items"][0] - - def play_song(self, song_name): - # Search for the song - results = self.sp.search(q=song_name, limit=1, type="track") - - # Get the first song from the search results - song_uri = results["tracks"]["items"][0]["uri"] - - # Start playback - self.sp.start_playback(device_id=self.device_id, uris=[song_uri]) - return results["tracks"]["items"][0] - - def play_artist(self, artist_name): - # Search for the artist - results = self.sp.search(q=artist_name, limit=1, type="artist") - - # Get the first artist from the search results - artist_uri = results["artists"]["items"][0]["uri"] - - # Start playback - self.sp.start_playback(device_id=self.device_id, context_uri=artist_uri) - return results["artists"]["items"][0] - - def play_album_from_artist(self, album_name, artist_name): - # Search for the album - results = self.sp.search( - q=f"{album_name} artist:{artist_name}", limit=1, type="album" - ) - - # Get the first album from the search results - album_uri = results["albums"]["items"][0]["uri"] - - # Start playback - self.sp.start_playback(device_id=self.device_id, context_uri=album_uri) - return results["albums"]["items"][0] - - def play_album(self, album_name): - # Search for the album - results = self.sp.search(q=album_name, limit=1, type="album") - - # Get the first album from the search results - album_uri = results["albums"]["items"][0]["uri"] - - # Start playback - self.sp.start_playback(device_id=self.device_id, context_uri=album_uri) - return results["albums"]["items"][0] - - def play_playlist(self, playlist_name): - # Search for the playlist - results = self.sp.search(q=playlist_name, limit=1, type="playlist") - - # Get the first playlist from the search results - playlist_uri = results["playlists"]["items"][0]["uri"] - - # Start playback - self.sp.start_playback(device_id=self.device_id, context_uri=playlist_uri) - return results["playlists"]["items"][0] diff --git a/apps/command-to-action/package.json b/apps/command-to-action/package.json deleted file mode 100644 index 9d2b754..0000000 --- a/apps/command-to-action/package.json +++ /dev/null @@ -1,14 +0,0 @@ -{ - "name": "@acme/cta", - "version": "0.1.0", - "private": true, - "scripts": { - "postinstall": "pip install -r requirements.txt || pip3 install -r requirements.txt", - "start": "pnpm with-env node ./run.js api/index.py", - "dev": "pnpm with-env node ./run.js api/index.py dev", - "with-env": "dotenv -e ../../.env --" - }, - "devDependencies": { - "dotenv-cli": "^7.2.1" - } -} diff --git a/apps/command-to-action/requirements.txt b/apps/command-to-action/requirements.txt deleted file mode 100644 index 601c40c..0000000 --- a/apps/command-to-action/requirements.txt +++ /dev/null @@ -1,7 +0,0 @@ -Flask -openai==0.27.8 -gTTS -langchain==0.0.234 -google-search-results -spotipy -waitress \ No newline at end of file diff --git a/apps/command-to-action/run.js b/apps/command-to-action/run.js deleted file mode 100644 index cea7bfb..0000000 --- a/apps/command-to-action/run.js +++ /dev/null @@ -1,24 +0,0 @@ -const { execSync, spawn } = require("node:child_process"); -const argv = process.argv.slice(2); -if (argv.length < 1) { - console.log("Usage: node start.js + + + + + + diff --git a/tutor_ai/frontend/templates/login.html b/tutor_ai/frontend/templates/login.html new file mode 100644 index 0000000..c64393b --- /dev/null +++ b/tutor_ai/frontend/templates/login.html @@ -0,0 +1,44 @@ + + + + + Login - TutorAI + + + + + + + + + \ No newline at end of file diff --git a/tutor_ai/frontend/templates/register.html b/tutor_ai/frontend/templates/register.html new file mode 100644 index 0000000..c4e2627 --- /dev/null +++ b/tutor_ai/frontend/templates/register.html @@ -0,0 +1,44 @@ + + + + + Register - TutorAI + + + + + +
+

Register

+ + + {% with messages = get_flashed_messages(with_categories=true) %} + {% if messages %} + {% for category, message in messages %} + {% if 'register' in category %} + + {% endif %} + {% endfor %} + {% endif %} + {% endwith %} + +
+
+ + +
+
+ + +
+
+ +
+
+

Already have an account? Login

+
+ + + \ No newline at end of file diff --git a/tutor_ai/llama3/README.md b/tutor_ai/llama3/README.md new file mode 100644 index 0000000..2b4163a --- /dev/null +++ b/tutor_ai/llama3/README.md @@ -0,0 +1,68 @@ + +# LLama3 Installation und Startanleitung + +Diese Anleitung zeigt Ihnen, wie Sie LLama3 auf Ihrem System installieren und verwenden können. + +## Voraussetzungen +- Python 3.8 oder höher +- pip +- virtualenv +- cuda + +## Installation + +Folgen Sie diesen Schritten, um LLama3 auf Ihrem System zu installieren: + +1. **Virtuelle Umgebung erstellen** + + Erstellen Sie eine neue virtuelle Umgebung namens `llama3`: + + ```bash + virtualenv llama3 + ``` + +2. **Virtuelle Umgebung aktivieren** + + Aktivieren Sie die virtuelle Umgebung: + + ```bash + source llama3/bin/activate + ``` + +3. **Abhängigkeiten installieren** + + Installieren Sie die notwendigen Pakete mit pip: + + ```bash + pip install accelerate==0.29.3 bitsandbytes==0.43.1 transformers==4.40.0 + ``` + +4. **Hugging Face Token konfigurieren** + + Erstellen Sie eine `config.json` Datei im Hauptverzeichnis Ihrer Anwendung und speichern Sie Ihren Hugging Face Token im folgenden Format: + + ```json + {"HF_TOKEN":"Ihr_Token_hier"} + ``` + + Ersetzen Sie `Ihr_Token_Hier` mit Ihrem tatsächlichen Hugging Face Token. + +5. **Anwendung starten** + + Starten Sie die Anwendung durch Ausführen der `startup.py` Datei: + + ```bash + python setup.py + ``` + Ingorieren Sie die 3 definierten Funktionen am Ende, diese sind lediglich eine Schnittstelle zum Prompting mit LLaMa3 und kann nach belieben angepasst werden. + + +## Nutzung + +Nachdem Sie LLama3 installiert und die `startup.py` ausgeführt haben, sollte die Anwendung laufen und bereit für die Nutzung sein. + +Dazu kann die Datei `prompting.py` genutzt werden und Dient als Schnittstellen zwischen der LLM und einem UI. Die hier eingegebenen Prompts werden an die LLM weitergeleiten. + ```bash + python prompting.py + ``` +Das ist rein Optional und kann nach belieben angepasst werden diff --git a/tutor_ai/llama3/prompting.py b/tutor_ai/llama3/prompting.py new file mode 100644 index 0000000..95574b8 --- /dev/null +++ b/tutor_ai/llama3/prompting.py @@ -0,0 +1,15 @@ +import socket + +def send_prompt(prompt): + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: + s.connect(('127.0.0.1', 65432)) + s.sendall(prompt.encode('utf-8')) + response = s.recv(1024) + return response.decode('utf-8') + +while True: + prompt = input("Enter your prompt: ") + if prompt.lower() == "exit": + break + llama3_response = send_prompt(prompt) + print("Llama3 response:", llama3_response) diff --git a/tutor_ai/llama3/setup.py b/tutor_ai/llama3/setup.py new file mode 100644 index 0000000..e794c2e --- /dev/null +++ b/tutor_ai/llama3/setup.py @@ -0,0 +1,49 @@ +import json +import torch +import socket +from transformers import (AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig, pipeline) + +config_data = json.load(open("config.json")) +HF_TOKEN = config_data["HF_TOKEN"] + +model_name = "meta-llama/Meta-Llama-3-8B-Instruct" + +#Quantization Configuration + +bnb_config = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_use_double_quant=True, bnb_4bit_quant_type="nf4", bnb_4bit_compute_dtype=torch.bfloat16) +tokenizer = AutoTokenizer.from_pretrained(model_name, token=HF_TOKEN) + +tokenizer.pad_token = tokenizer.eos_token +model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", quantization_config=bnb_config, token=HF_TOKEN) + +text_generator = pipeline ("text-generation", model=model, tokenizer=tokenizer, max_new_tokens=128) + +def get_response(prompt): + sequences = text_generator(prompt) + gen_text = sequences[0]["generated_text"] + return gen_text + +def get_llama3_response(prompt): + return get_response(prompt) + + +def listen_for_prompts(): + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: + s.bind(('127.0.0.1', 65432)) + s.listen() + print("Waiting for connections...") + while True: # Keep listening for connections indefinitely + conn, addr = s.accept() + with conn: + print('Connected by', addr) + while True: # Keep processing prompts within the connection + data = conn.recv(1024) + if not data: + break + prompt = data.decode('utf-8') + response = get_response(prompt) + conn.sendall(response.encode('utf-8')) + + +# Run the function to listen for prompts +listen_for_prompts() diff --git a/tutor_ai/transcribe/README.md b/tutor_ai/transcribe/README.md new file mode 100644 index 0000000..0f0fc21 --- /dev/null +++ b/tutor_ai/transcribe/README.md @@ -0,0 +1,46 @@ + +# Tutor AI transcriber + +Transcribe any mp4 file + +## Prerequisites + +Before you begin, ensure you have met the following requirements: +- Python 3.8 or newer +- Pip and virtualenv installed on your machine + +## Installation + +Follow these steps to get your Tutor AI transcriber up and running: + +1. **Create Virtual Environment** + + ```bash + virtualenv transEnv + ``` + +2. **Start Environment** +3. **Install selenium** + ```bash + pip install -U git+https://github.com/linto-ai/whisper-timestamped + ``` +4. **Install ffmpeg** + ``` + https://ffmpeg.org/download.html#build-windows + ``` + +## Usage + +You can add modules to further improve our search capabilities + + + +## License + +Distributed under the MIT License. See `LICENSE` for more information. + +## Contact + +Maximilian Hans - m.hans@tu-berlin.de + +Project Link: [https://github.com/Programmierpraktikum-MVA/tutor_ai](https://github.com/Programmierpraktikum-MVA/tutor_ai) \ No newline at end of file diff --git a/tutor_ai/transcribe/transcribe.py b/tutor_ai/transcribe/transcribe.py new file mode 100644 index 0000000..11915ae --- /dev/null +++ b/tutor_ai/transcribe/transcribe.py @@ -0,0 +1,98 @@ +import whisper_timestamped as whisper +import time +import os +import json + +MODELSIZE = "small" + +def transcribe_audio(file_path, file_name, folder_name): + print("Called Transcribe_audio") + now = time.time() + audio = whisper.load_audio(file_path) + model = whisper.load_model(MODELSIZE) + print(f"Loading the audio and model took {time.time() - now} seconds") + now = time.time() + result = model.transcribe(file_path) + print(f"Transcription took {time.time() - now} seconds") + filename = os.path.basename(file_path) + filename_without_ext = os.path.splitext(filename)[0] + + # Create a dictionary with lecture and Timestamps + data = { + "lecture": filename_without_ext, + "Timestamps": clean_transcriptions(create_segment(result)) + } + + # Define the path for the transcriptions.json file + json_file_path = f"transcribed/{folder_name}/{file_name}.json" + + # Check if the file exists, if not create it and write the data + if not os.path.exists(json_file_path): + with open(json_file_path, 'w') as f: + json.dump([data], f) # Enclose the data in a list + else: + # If the file exists, append the new data + with open(json_file_path, 'r+') as f: + existing_data = json.load(f) + existing_data.append(data) # Append the new data to the list + f.seek(0) + json.dump(existing_data, f) + + +def create_segment(data): + new_segments = [] + current_segment = '' + segment_start = None # Initialize the start time of the current segment + for segment in data['segments']: + text = segment['text'] + if segment_start is None: # If this is the first segment in the new segment + segment_start = segment['start'] # Set the start time of the current segment + if len(current_segment + text) <= 400: + current_segment += ' ' + text + else: + last_period_index = current_segment.rfind('.') + if last_period_index != -1: + new_segments.append({ + 'text': current_segment[:last_period_index + 1], + 'start': segment_start, # Use the start time of the current segment + 'end': segment['end'] # Use the end time of the current segment + }) + current_segment = current_segment[last_period_index + 2:] + ' ' + text + else: + new_segments.append({ + 'text': current_segment, + 'start': segment_start, # Use the start time of the current segment + 'end': segment['end'] # Use the end time of the current segment + }) + current_segment = text + segment_start = None # Reset the start time for the next segment + if current_segment: + new_segments.append({ + 'text': current_segment, + 'start': segment_start, # Use the start time of the last segment + 'end': data['segments'][-1]['end'] # Use the end time of the last segment + }) + return new_segments +def clean_transcriptions(json_obj): + # Define the mapping of characters + mapping = { + 'ä': 'ae', + 'ö': 'oe', + 'ü': 'ue', + 'ß': 'ss', + 'Ä': 'Ae', + 'Ö': 'Oe', + 'Ü': 'Ue' + } + + # Check if json_obj is a list of dictionaries + if isinstance(json_obj, list) and all(isinstance(item, dict) for item in json_obj): + # Iterate over the items in the json object + for item in json_obj: + # Replace the characters in the 'text' field + for old_char, new_char in mapping.items(): + item['text'] = item['text'].replace(old_char, new_char) + else: + raise ValueError("json_obj must be a list of dictionaries with a 'text' key") + + return json_obj diff --git a/tutor_ai/transcribe/transmain.py b/tutor_ai/transcribe/transmain.py new file mode 100644 index 0000000..e230812 --- /dev/null +++ b/tutor_ai/transcribe/transmain.py @@ -0,0 +1,87 @@ +import subprocess +import os +import json +from transcribe import transcribe_audio + +def load_log(log_file): + if os.path.exists(log_file): + with open(log_file, 'r') as file: + return json.load(file) + return {} + + +def save_log(log, log_file): + with open(log_file, 'w') as file: + json.dump(log, file, indent=4) + + +def extract_audio(local_video_path, output_file): + try: + ffmpeg_command = f'ffmpeg -i "{local_video_path}" -vn -acodec libmp3lame -y "{output_file}"' + subprocess.call(ffmpeg_command, shell=True) + except Exception as e: + print(f"Error during audio extraction: {e}") + + +def get_folders_and_files(main_folder): + # List to hold the paths of folders and their respective mp4 files + folder_file_paths = [] + + # Walk through the main folder + for root, dirs, files in os.walk(main_folder): + # We only need the first level of directories within the main folder + if root == main_folder: + for directory in dirs: + folder_path = os.path.join(main_folder, directory) + mp4_files = [] + + # List files in the subdirectory + for file in os.listdir(folder_path): + if file.endswith(".mp4"): + file_path = os.path.join(folder_path, file) + mp4_files.append(file_path) + + # Append the folder path and its mp4 files to the list + folder_file_paths.append((folder_path, mp4_files)) + + return folder_file_paths + + +def start(main_folder, log_file): + # Load the log + log = load_log(log_file) + + # Example usage: + result = get_folders_and_files(main_folder) + for folder, files in result: + print(f"Folder: {folder}") + temp = folder.split('\\') + folder_name = temp[-1] + path = f'audio_files/{folder_name}' + transcribed_folder_path = f'transcribed/{folder_name}' + os.makedirs(path, exist_ok=True) + os.makedirs(transcribed_folder_path, exist_ok=True) + for file in files: + if file in log and log[file] == 'transformed': + print(f" Skipping already transformed file: {file}") + continue + + print(f" File: {file}") + temp = file.split('\\') + t2 = temp[-1] + t2 = t2.split('.')[0] + file_name = f"{t2}.mp3" + file_path = f'{path}\\{file_name}' + extract_audio(file, file_path) + transcribe_audio(file_path, f'{t2}_transcribed', folder_name) + + # Update the log + log[file] = 'transformed' + save_log(log, log_file) + + + +# Example usage +main_folder = '../SeleniumCrawler/downloaded_videos' +log_file = 'transformation_log.json' +start(main_folder, log_file) From afebc6c638147d78ea52e5abbe20cdbd7ca8c602 Mon Sep 17 00:00:00 2001 From: Emil Daniel Badura Date: Sun, 23 Jun 2024 20:18:15 +0200 Subject: [PATCH 21/59] refactor project structure --- .gitignore | 3 +-- .../textToSpeechToFile.py | 0 .../function_calling/actions/spotify.py | 0 .../function_calling/actions/wikipedia.py | 0 .../function_calling/actions/wolfram.py | 0 .../function_calling/download_drive.py | 0 .../function_calling/functions.json | 0 llama3.py => server/function_calling/llama3.py | 0 main.py => server/function_calling/main.py | 7 +++---- .../function_calling/tutor_ai}/README.md | 0 .../get_all_discussion_content_from_forum.py | 0 .../get_content_from_forums_of_all_courses.py | 0 .../get_content_from_forums_of_one_course.py | 0 .../ScrapeDiscussions/get_discussion_content.py | 0 .../__pycache__/get_all_forum_id.cpython-310.pyc | Bin .../IsisForums/course_forum_data/course_37039.json | 0 .../IsisForums/course_forum_data/course_37310.json | 0 .../IsisForums/course_forum_data/course_37563.json | 0 .../IsisForums/course_forum_data/course_37805.json | 0 .../IsisForums/course_forum_data/course_38283.json | 0 .../IsisForums/course_forum_data/course_38349.json | 0 .../SeleniumCrawler/IsisForums/forum_id_saved.json | 0 .../SeleniumCrawler/IsisForums/forum_scraper.py | 0 .../SeleniumCrawler/IsisForums/get_all_forum_id.py | 0 .../SeleniumCrawler/IsisModules/cleanHTML.py | 0 .../IsisModules/get_all_course_id.py | 0 .../IsisModules/scrape_all_course_videos.py | 0 .../SeleniumCrawler/IsisModules/scrape_course.py | 0 .../SeleniumCrawler/IsisPDFs/PdfScraper.py | 0 .../__pycache__/store_all_pdfs.cpython-310.pyc | Bin .../SeleniumCrawler/IsisPDFs/store_all_pdfs.py | 0 .../MosesModules/get_course_id_moses.py | 0 .../MosesModules/scrape_course_moses.py | 0 .../tutor_ai}/SeleniumCrawler/README.md | 0 .../tutor_ai}/SeleniumCrawler/course_id_saved.json | 0 .../tutor_ai}/SeleniumCrawler/dropboxUpload.py | 0 .../tutor_ai}/SeleniumCrawler/main.py | 0 .../tutor_ai}/SeleniumCrawler/misc/misce.py | 0 .../tutor_ai}/SeleniumCrawler/requirements.txt | 0 .../tutor_ai}/SeleniumCrawler/scraper.py | 0 .../tutor_ai}/SeleniumCrawler/scraperMoses.py | 0 .../tutor_ai}/SeleniumCrawler/transcribe.py | 0 .../tutor_ai}/backend/ChatEngine.py | 0 .../tutor_ai}/backend/CreateIndex.py | 0 .../tutor_ai}/backend/requirements.txt | 0 .../function_calling/tutor_ai}/course_id_saved.json | 0 .../function_calling/tutor_ai}/frontend/app.py | 0 .../tutor_ai}/frontend/requirements.txt | 0 .../tutor_ai}/frontend/static/css/style.css | 0 .../tutor_ai}/frontend/static/css/style_login.css | 0 .../frontend/static/css/style_register.css | 0 .../tutor_ai}/frontend/static/images/Logo.png | Bin .../tutor_ai}/frontend/static/js/script.js | 0 .../tutor_ai}/frontend/templates/chat.html | 0 .../tutor_ai}/frontend/templates/login.html | 0 .../tutor_ai}/frontend/templates/register.html | 0 .../function_calling/tutor_ai}/llama3/README.md | 0 .../function_calling/tutor_ai}/llama3/prompting.py | 0 .../function_calling/tutor_ai}/llama3/setup.py | 0 .../function_calling/tutor_ai}/transcribe/README.md | 0 .../tutor_ai}/transcribe/transcribe.py | 0 .../tutor_ai}/transcribe/transmain.py | 0 .../requirementsServer.txt | 0 server.py => server/server.py | 0 service.py => server/service.py | 0 server/storage/default__vector_store.json | 1 + server/storage/docstore.json | 1 + server/storage/graph_store.json | 1 + server/storage/image__vector_store.json | 1 + server/storage/index_store.json | 1 + 70 files changed, 9 insertions(+), 6 deletions(-) rename textToSpeechToFile.py => client/textToSpeechToFile.py (100%) rename spotify.py => server/function_calling/actions/spotify.py (100%) rename wikipedia.py => server/function_calling/actions/wikipedia.py (100%) rename wolfram.py => server/function_calling/actions/wolfram.py (100%) rename download_drive.py => server/function_calling/download_drive.py (100%) rename functions.json => server/function_calling/functions.json (100%) rename llama3.py => server/function_calling/llama3.py (100%) rename main.py => server/function_calling/main.py (83%) rename {tutor_ai => server/function_calling/tutor_ai}/README.md (100%) rename {tutor_ai => server/function_calling/tutor_ai}/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_all_discussion_content_from_forum.py (100%) rename {tutor_ai => server/function_calling/tutor_ai}/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_content_from_forums_of_all_courses.py (100%) rename {tutor_ai => server/function_calling/tutor_ai}/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_content_from_forums_of_one_course.py (100%) rename {tutor_ai => 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rename server.py => server/server.py (100%) rename service.py => server/service.py (100%) create mode 100644 server/storage/default__vector_store.json create mode 100644 server/storage/docstore.json create mode 100644 server/storage/graph_store.json create mode 100644 server/storage/image__vector_store.json create mode 100644 server/storage/index_store.json diff --git a/.gitignore b/.gitignore index ced5ea2..bb8d94a 100644 --- a/.gitignore +++ b/.gitignore @@ -5,8 +5,7 @@ transcription.txt -/Llama-3-8B-function-calling-model -/Llama-3-8B-function-calling-tokenizer +Llama-3-8B-function-calling* /__pycache__ /.vscode diff --git a/textToSpeechToFile.py b/client/textToSpeechToFile.py similarity index 100% rename from textToSpeechToFile.py rename to client/textToSpeechToFile.py diff --git a/spotify.py b/server/function_calling/actions/spotify.py similarity index 100% rename from spotify.py rename to server/function_calling/actions/spotify.py diff --git a/wikipedia.py b/server/function_calling/actions/wikipedia.py similarity index 100% rename from wikipedia.py rename to server/function_calling/actions/wikipedia.py diff --git a/wolfram.py b/server/function_calling/actions/wolfram.py similarity index 100% rename from wolfram.py rename to server/function_calling/actions/wolfram.py diff --git a/download_drive.py b/server/function_calling/download_drive.py similarity index 100% rename from download_drive.py rename to server/function_calling/download_drive.py diff --git a/functions.json b/server/function_calling/functions.json similarity index 100% rename from functions.json rename to server/function_calling/functions.json diff --git a/llama3.py b/server/function_calling/llama3.py similarity index 100% rename from llama3.py rename to server/function_calling/llama3.py diff --git a/main.py b/server/function_calling/main.py similarity index 83% rename from main.py rename to server/function_calling/main.py index 838d825..124d7c4 100644 --- a/main.py +++ b/server/function_calling/main.py @@ -2,10 +2,9 @@ # get the functions/classes from group b,c from llama3 import LLama3 -from wolfram import ask_wolfram_question -from wikipedia import getWikiPageInfo -from spotify import play,set_volume_to,pause,next,prev,turn_on_shuffle,turn_off_shuffle,decrease_volume,increase_volume,play_song,play_album,play_artist,add_to_queue -from textToSpeechToFile import text_to_speech_file +from actions.wolfram import ask_wolfram_question +from actions.wikipedia import getWikiPageInfo +from actions.spotify import play,set_volume_to,pause,next,prev,turn_on_shuffle,turn_off_shuffle,decrease_volume,increase_volume,play_song,play_album,play_artist,add_to_queue from tutor_ai.backend.ChatEngine import ask_TutorAI_question DEBUG_MODE = 1 diff --git a/tutor_ai/README.md b/server/function_calling/tutor_ai/README.md similarity index 100% rename from tutor_ai/README.md rename to server/function_calling/tutor_ai/README.md diff --git a/tutor_ai/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_all_discussion_content_from_forum.py b/server/function_calling/tutor_ai/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_all_discussion_content_from_forum.py similarity index 100% rename from tutor_ai/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_all_discussion_content_from_forum.py rename to server/function_calling/tutor_ai/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_all_discussion_content_from_forum.py diff --git a/tutor_ai/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_content_from_forums_of_all_courses.py b/server/function_calling/tutor_ai/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_content_from_forums_of_all_courses.py similarity index 100% rename from tutor_ai/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_content_from_forums_of_all_courses.py rename to server/function_calling/tutor_ai/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_content_from_forums_of_all_courses.py diff --git a/tutor_ai/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_content_from_forums_of_one_course.py b/server/function_calling/tutor_ai/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_content_from_forums_of_one_course.py similarity index 100% rename from tutor_ai/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_content_from_forums_of_one_course.py rename to server/function_calling/tutor_ai/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_content_from_forums_of_one_course.py diff --git a/tutor_ai/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_discussion_content.py b/server/function_calling/tutor_ai/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_discussion_content.py similarity index 100% rename from tutor_ai/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_discussion_content.py rename to server/function_calling/tutor_ai/SeleniumCrawler/IsisForums/ScrapeDiscussions/get_discussion_content.py diff --git a/tutor_ai/SeleniumCrawler/IsisForums/__pycache__/get_all_forum_id.cpython-310.pyc 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Sie besitzen die F\\u00e4higkeit zur strukturierten Argumentation im Sinne mathematischer Beweisf\\u00fchrungen und sind in der Lage durch Abstraktionen von konkreten Sachverhalten auf allgemeine Sachverhalte zu wechseln. Sie beherrschen den Umgang mit formalen Sprachen, Grammatiken, endlichen Automaten, und Kellerautomaten. 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Entsprechende Aufgabenstellungen k\\u00f6nnen sie sowohl selbst\\u00e4ndigals auch in Kleingruppen bearbeiten.\", \"Lehrinhalte\": \"* Mengen, logische Aussagen, Beweisnotation, Beweistechniken* Relationen, Ordnungen, Abbildungen, \\u00c4quivalenzen, Quotienten* W\\u00f6rter, Sprachen, Ausdr\\u00fccke* Grammatiken, Automaten, Kellerautomaten\", \"Modulbestandteile\": \"No information available.\", \"Arbeitsaufwand und Leistungspunkte\": \"Formale Sprachen und Automaten (VL): Aufwandbeschreibung Multiplikator Stunden Gesamt 75.0h (~3 LP) Pr\\u00e4senzzeit 15.0 2.0h 30.0h Studium (Vor-/Nachbereitung) 15.0 3.0h 45.0h Formale Sprachen und Automaten (UE): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Hausaufgaben 4.0 15.0h 60.0h Pr\\u00e4senzzeit 15.0 2.0h 30.0h Lehrveranstaltungsunabh\\u00e4ngiger Aufwand: Aufwandbeschreibung Multiplikator Stunden Gesamt 15.0h (~1 LP) Pr\\u00fcfungsvorbereitung 2.0 7.5h 15.0h Der Aufwand des Moduls summiert sich zu 180.0 Stunden . Damit umfasst das Modul 6 Leistungspunkte .\", \"Beschreibung der Lehr- und Lernformen\": \"Die fachlichen Inhalte des Moduls werden in einer Vorlesung vermittelt.", "start_char_idx": 1397, "end_char_idx": 2632, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "480eb182-6b73-44de-a61c-42828cdd3182": {"__data__": {"id_": "480eb182-6b73-44de-a61c-42828cdd3182", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "034e6489-0c3c-4b58-a401-ba69e2ed69d1", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "b8ae1772603501a7d03a8affe2fd4a85c303b927f2a598a356dd94fa638cbd5c", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "3a3ceebf-41c4-40f2-b27a-adf2e908df21", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "f604e6975bd9e610d2b9ff5c3adc02ebad5c9385b9beb60c8ffab19895932b76", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "47ebca7b-dd3f-45ae-9461-f912479c2a66", "node_type": "1", "metadata": {}, "hash": "a121a63166d69ab4fc7f3f2f451ccccbf423ae2694770836bf36baf9874a7d68", "class_name": "RelatedNodeInfo"}}, "text": "Damit umfasst das Modul 6 Leistungspunkte .\", \"Beschreibung der Lehr- und Lernformen\": \"Die fachlichen Inhalte des Moduls werden in einer Vorlesung vermittelt. Die Anwendung und Festigung des Stoffs geschieht durch das regelm\\u00e4\\u00dfige gemeinsame Bearbeiten von Aufgabenbl\\u00e4ttern und die Besprechung des Stoffs und der Aufgaben in Tutorien im interaktiven Stil. Die Hausaufgaben werden von den Studierenden in Kleingruppen bearbeitet.\", \"Voraussetzungen f\\u00fcr die Teilnahme / Pr\\u00fcfung\": \"W\\u00fcnschenswerte Voraussetzungen f\\u00fcr die Teilnahme an den Lehrveranstaltungen : keine Verpflichtende Voraussetzungen f\\u00fcr die Modulpr\\u00fcfungsanmeldung : Keine Angabe\", \"Dauer des Moduls\": \"F\\u00fcr Belegung und Abschluss des Moduls ist folgende Semesteranzahl veranschlagt: 1 Semester . Dieses Modul kann in folgenden Semestern begonnen werden: Wintersemester .\", \"Maximale teilnehmende Personen\": \"Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.\", \"Anmeldeformalit\\u00e4ten\": \"Die Einteilung der Tutorien erfolgt \\u00fcber MOSES in der ersten Vorlesungswoche. Die Pr\\u00fcfungsanmeldung erfolgt \\u00fcber QISPOS. Die An- und Abmeldefristen werden in der Vorlesung bekannt gegeben. Die Lehrmaterialien werden \\u00fcber ISIS bereitgestellt.\", \"Literaturhinweise, Skripte\": \"No information available.\", \"Zugeordnete Studieng\\u00e4nge\": \"Dieses Modul findet in keinem Studiengang Verwendung.", "start_char_idx": 2473, "end_char_idx": 3894, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "47ebca7b-dd3f-45ae-9461-f912479c2a66": {"__data__": {"id_": "47ebca7b-dd3f-45ae-9461-f912479c2a66", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "034e6489-0c3c-4b58-a401-ba69e2ed69d1", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "b8ae1772603501a7d03a8affe2fd4a85c303b927f2a598a356dd94fa638cbd5c", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "480eb182-6b73-44de-a61c-42828cdd3182", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "a6673fd8c4e110f3663319f48bf36ca8f802420f6f391d5c6035b9d82044ec22", "class_name": "RelatedNodeInfo"}}, "text": "Dieses Modul kann in folgenden Semestern begonnen werden: Wintersemester .\", \"Maximale teilnehmende Personen\": \"Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.\", \"Anmeldeformalit\\u00e4ten\": \"Die Einteilung der Tutorien erfolgt \\u00fcber MOSES in der ersten Vorlesungswoche. Die Pr\\u00fcfungsanmeldung erfolgt \\u00fcber QISPOS. Die An- und Abmeldefristen werden in der Vorlesung bekannt gegeben. Die Lehrmaterialien werden \\u00fcber ISIS bereitgestellt.\", \"Literaturhinweise, Skripte\": \"No information available.\", \"Zugeordnete Studieng\\u00e4nge\": \"Dieses Modul findet in keinem Studiengang Verwendung. Studierende anderer Studieng\\u00e4nge k\\u00f6nnen dieses Modul ohne Kapazit\\u00e4tspr\\u00fcfung belegen.\", \"Sonstiges\": \"Keine Angabe Version 6.01.270 (Realm 6.0.9) Impressum\"}", "start_char_idx": 3279, "end_char_idx": 4071, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "289564c5-4ad0-4b70-aa01-6cac6b4ae9e2": {"__data__": {"id_": "289564c5-4ad0-4b70-aa01-6cac6b4ae9e2", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "913c0449-2cf5-4243-ad15-72b44fe33ce8", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "7e98f193a0d6f0776a45d855b04adfcb263a7862be611ca2eb6bd44889ebea71", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "be645448-0579-4fa5-98b6-f2f7c6856e29", "node_type": "1", "metadata": {}, "hash": "73bb286d0ec7bfd8a32071980d9a59195e09ad82ba68afcefee22143d222d401", "class_name": "RelatedNodeInfo"}}, "text": "{\"url\": \"https://moseskonto.tu-berlin.de/moses/modultransfersystem/bolognamodule/beschreibung/anzeigen.html?number=40019&version=1&sprache=1\", \"Modul / Version\": \"#40019 / #1\", \"G\\u00fcltigkeit\": \"WS 2014/15 - SS 2015\", \"Standard-Anzeigesprache\": \"Deutsch\", \"Titel des Moduls\": \"Rechnerorganisation\", \"Leistungspunkte\": \"6\", \"Modulverantwortliche*r\": \"Juurlink, Bernardus\", \"Benotung\": \"benotet\", \"Pr\\u00fcfungsform\": \"Schriftliche Pr\\u00fcfung\", \"Fakult\\u00e4t\": \"Fakult\\u00e4t IV\", \"Institut\": \"Institut f\\u00fcr Technische Informatik und Mikroelektronik\", \"Fachgebiet\": \"34341200 FG Mixed Signal Circuit Design\", \"Pr\\u00fcfungsausschuss\": \"Keine Angabe\", \"Sekretariat\": \"EN 4\", \"Ansprechpartner*in\": \"Kaiser, Tobias Christian\", \"E-Mail-Adresse\": \"friedel.gerfers@tu-berlin.de\", \"Webseite\": \"https://www.msc.tu-berlin.de/\", \"Semester\": \"WS 2014/15 SS 2015 WS 2015/16 Zeige auch ausgelaufene Studieng\\u00e4nge und StuPOs\", \"\\n Zeige auch ausgelaufene Studieng\\u00e4nge und StuPOs\\n \": \"WS 2014/15 SS 2015 WS 2015/16 Zeige auch ausgelaufene Studieng\\u00e4nge und StuPOs\", \"Zugeh\\u00f6rigkeit\": \"No information available.\", \"Kontakt\": \"No information available.\", \"Lernergebnisse\": \"Die Studierenden sind in der Lage, programmierbare digitale Systeme in Assembler zu programmieren.", "start_char_idx": 0, "end_char_idx": 1280, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "be645448-0579-4fa5-98b6-f2f7c6856e29": {"__data__": {"id_": "be645448-0579-4fa5-98b6-f2f7c6856e29", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "913c0449-2cf5-4243-ad15-72b44fe33ce8", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "7e98f193a0d6f0776a45d855b04adfcb263a7862be611ca2eb6bd44889ebea71", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "289564c5-4ad0-4b70-aa01-6cac6b4ae9e2", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "8c20457084f3a90f16be217c89396104080c6a8590aa0f77fa5d85c47b66bb9e", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "84d14d65-e7e6-4406-aff8-9753e7804251", "node_type": "1", "metadata": {}, "hash": "fa26d36fddf5f6386253905afe077523e98cf578ae28978d126809a0a3114a55", "class_name": "RelatedNodeInfo"}}, "text": "\", \"Kontakt\": \"No information available.\", \"Lernergebnisse\": \"Die Studierenden sind in der Lage, programmierbare digitale Systeme in Assembler zu programmieren. Sie verstehen, wie ein in einer h\\u00f6heren Programmiersprache (wie z. B. C oder Java) geschriebenes Programm in eine Maschinensprache \\u00fcbersetzt und von einem digitalen System ausgef\\u00fchrt werden kann. Ferner sind Sie auch in der Lage, die mit der Bearbeitung der Maschinenbefehle einhergehenden logischen Abl\\u00e4ufe in einem digitalen System auf der Registertransferebene nachzuvollziehen und zu erweitern. Sie haben dar\\u00fcber hinaus die Kompetenz, die Funktionalit\\u00e4t eines Systems in konstruktiver Weise mittels eines endlichen Automaten oder mittels Mikroprogrammierung festzulegen. Au\\u00dferdem verf\\u00fcgen sie \\u00fcber Kompetenzen in den bei digitalen Systemen verwendeten Zahlendarstellungen und in den f\\u00fcr die arithmetischen Operationen zugrunde liegenden Mikroalgorithmen. Hinzu kommen Kompetenzen im grunds\\u00e4tzlichen Aufbau digitaler Systeme, einschlie\\u00dflich der Ein-/Ausgabeorganisation, und in den elementaren Strukturprinzipien von Rechnern.", "start_char_idx": 1120, "end_char_idx": 2270, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "84d14d65-e7e6-4406-aff8-9753e7804251": {"__data__": {"id_": "84d14d65-e7e6-4406-aff8-9753e7804251", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "913c0449-2cf5-4243-ad15-72b44fe33ce8", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "7e98f193a0d6f0776a45d855b04adfcb263a7862be611ca2eb6bd44889ebea71", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "be645448-0579-4fa5-98b6-f2f7c6856e29", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "295000e2a636e92816073f4f8496772f8384398fd409040c5ad3c949f25ec415", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "c75e0a71-5435-4afe-ad19-7ab670d0f066", "node_type": "1", "metadata": {}, "hash": "08998af1902b5f80bf84cc8d7f52a4932030c10cb3d76ab4662e88c025f191a3", "class_name": "RelatedNodeInfo"}}, "text": "Sie haben dar\\u00fcber hinaus die Kompetenz, die Funktionalit\\u00e4t eines Systems in konstruktiver Weise mittels eines endlichen Automaten oder mittels Mikroprogrammierung festzulegen. Au\\u00dferdem verf\\u00fcgen sie \\u00fcber Kompetenzen in den bei digitalen Systemen verwendeten Zahlendarstellungen und in den f\\u00fcr die arithmetischen Operationen zugrunde liegenden Mikroalgorithmen. Hinzu kommen Kompetenzen im grunds\\u00e4tzlichen Aufbau digitaler Systeme, einschlie\\u00dflich der Ein-/Ausgabeorganisation, und in den elementaren Strukturprinzipien von Rechnern.\", \"Lehrinhalte\": \"- Grundlagen im Entwurf digitaler Systeme (kombinatorische Logik, Gatter, Wahrheitstabellen, Speicherlemente, endliche Zustandsautomaten)- Grundlegende Technologien und Komponenten einer Rechnerarchitektur- Assemblerprogrammierung: Assemblersprache, Steuerkonstrukte, Adressierungsarten- Rechnerarithmetik: Zahlendarstellungen (Stellenwertsysteme, Fest- und Gleitpunktzahlen)- Mikroalgorithmen f\\u00fcr arithmetische Operationen- Codes (Ziffern- und Zeichencodes, Codesicherung)- Rechenleistung verstehen und beurteilen (SPEC Benchmarks, Amdahl\\u2019s Law)- Aufbau und Funktionsweise eines einfachen Von-Neumann-Rechners- Aufbau und Funktionsweise einer Mehrzyklenimplementierung- Flie\\u00dfbandverarbeitung (Pipelining), Pipelinekonflikte und ihre L\\u00f6sungen- Speicherhierarchie, Caches, virtueller Speicher- Ein-/Ausgabetechniken (Adressierung, Synchronisation, Direktspeicherzugriff)\", \"Modulbestandteile\": \"No information available.", "start_char_idx": 1700, "end_char_idx": 3228, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "c75e0a71-5435-4afe-ad19-7ab670d0f066": {"__data__": {"id_": "c75e0a71-5435-4afe-ad19-7ab670d0f066", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "913c0449-2cf5-4243-ad15-72b44fe33ce8", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "7e98f193a0d6f0776a45d855b04adfcb263a7862be611ca2eb6bd44889ebea71", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "84d14d65-e7e6-4406-aff8-9753e7804251", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "7ab836ed4b848f038b2bb7ff3e986b57af367ae8c94d7ace20f91aa981ecdf68", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "457a379c-0d20-4d84-b95d-309160896aab", "node_type": "1", "metadata": {}, "hash": "6dd71f1c4e4ccb5a9e201489b5a451c50fa7cba478da13d085bb7e0297530eef", "class_name": "RelatedNodeInfo"}}, "text": "\", \"Arbeitsaufwand und Leistungspunkte\": \"TechGI 2: Rechnerorganisation (VL): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Pr\\u00e4senzzeit 15.0 2.0h 30.0h Vor-/Nachbereitung 15.0 4.0h 60.0h TechGI 2: Rechnerorganisation (UE): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Hausaufgaben 4.0 7.5h 30.0h Pr\\u00e4senzzeit 15.0 2.0h 30.0h Vor-/Nachbereitung 15.0 2.0h 30.0h Der Aufwand des Moduls summiert sich zu 180.0 Stunden . Damit umfasst das Modul 6 Leistungspunkte .\", \"Beschreibung der Lehr- und Lernformen\": \"- Vorlesung zur Stoffvermittlung mit begleitenden w\\u00f6chentlichen \\u00dcbungen (Tutorien, z.T. betreute Rechnerzeiten) zur Festigung und Ein\\u00fcbung des Stoffes- Bearbeitung von \\u00dcbungsbl\\u00e4ttern und Programmieraufgaben in KleingruppenWerkzeug: Simulator und Assembler f\\u00fcr einen einfachen Von-Neumann-Rechner (MIPS-Prozessor)\", \"Voraussetzungen f\\u00fcr die Teilnahme / Pr\\u00fcfung\": \"W\\u00fcnschenswerte Voraussetzungen f\\u00fcr die Teilnahme an den Lehrveranstaltungen : Keine Verpflichtende Voraussetzungen f\\u00fcr die Modulpr\\u00fcfungsanmeldung : 1.", "start_char_idx": 3228, "end_char_idx": 4349, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "457a379c-0d20-4d84-b95d-309160896aab": {"__data__": {"id_": "457a379c-0d20-4d84-b95d-309160896aab", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "913c0449-2cf5-4243-ad15-72b44fe33ce8", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "7e98f193a0d6f0776a45d855b04adfcb263a7862be611ca2eb6bd44889ebea71", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "c75e0a71-5435-4afe-ad19-7ab670d0f066", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "c02dbe14b2cc2143c31420df83398c20891a72267e7229dbfe0070ab3167eb74", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "62fa4f13-adc1-4e37-b570-972d6fb06de3", "node_type": "1", "metadata": {}, "hash": "083765f609612cea2385d13d14dd04e3c554b0da628f87a271f1647a1b65f295", "class_name": "RelatedNodeInfo"}}, "text": "betreute Rechnerzeiten) zur Festigung und Ein\\u00fcbung des Stoffes- Bearbeitung von \\u00dcbungsbl\\u00e4ttern und Programmieraufgaben in KleingruppenWerkzeug: Simulator und Assembler f\\u00fcr einen einfachen Von-Neumann-Rechner (MIPS-Prozessor)\", \"Voraussetzungen f\\u00fcr die Teilnahme / Pr\\u00fcfung\": \"W\\u00fcnschenswerte Voraussetzungen f\\u00fcr die Teilnahme an den Lehrveranstaltungen : Keine Verpflichtende Voraussetzungen f\\u00fcr die Modulpr\\u00fcfungsanmeldung : 1. Voraussetzung Hausaufgaben im Tutorium Rechnerorganisation\", \"Dauer des Moduls\": \"F\\u00fcr Belegung und Abschluss des Moduls ist folgende Semesteranzahl veranschlagt: 1 Semester . Dieses Modul kann in folgenden Semestern begonnen werden: Wintersemester .\", \"Maximale teilnehmende Personen\": \"Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.\", \"Anmeldeformalit\\u00e4ten\": \"Die Einteilung der Tutorien erfolgt \\u00fcber MOSES in der ersten Vorlesungswoche. Die Pr\\u00fcfungsanmeldung erfolgt \\u00fcber QISPOS und ist erst nach dem erfolgreichen Bestehen der Hausaufgaben m\\u00f6glich. Die An- und Abmeldefristen werden in der Vorlesung bekannt gegeben. Die Lehrmaterialien werden \\u00fcber ISIS bereitgestellt.\", \"Literaturhinweise, Skripte\": \"No information available.\", \"Zugeordnete Studieng\\u00e4nge\": \"No information available.\", \"Sonstiges\": \"Die Vorlesung basiert auf:\\\"Patterson, A.P.; Hennessy, J.L. (2005): Rechnerorganisation und \\u2013entwurf, Die Hardware/Software-Schnittstelle.", "start_char_idx": 3874, "end_char_idx": 5352, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "62fa4f13-adc1-4e37-b570-972d6fb06de3": {"__data__": {"id_": "62fa4f13-adc1-4e37-b570-972d6fb06de3", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "913c0449-2cf5-4243-ad15-72b44fe33ce8", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "7e98f193a0d6f0776a45d855b04adfcb263a7862be611ca2eb6bd44889ebea71", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "457a379c-0d20-4d84-b95d-309160896aab", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "64b4f5ace742487351a8450875618886838f57c291ae8d734c8a9879a74c9226", "class_name": "RelatedNodeInfo"}}, "text": "Die Pr\\u00fcfungsanmeldung erfolgt \\u00fcber QISPOS und ist erst nach dem erfolgreichen Bestehen der Hausaufgaben m\\u00f6glich. Die An- und Abmeldefristen werden in der Vorlesung bekannt gegeben. Die Lehrmaterialien werden \\u00fcber ISIS bereitgestellt.\", \"Literaturhinweise, Skripte\": \"No information available.\", \"Zugeordnete Studieng\\u00e4nge\": \"No information available.\", \"Sonstiges\": \"Die Vorlesung basiert auf:\\\"Patterson, A.P.; Hennessy, J.L. (2005): Rechnerorganisation und \\u2013entwurf, Die Hardware/Software-Schnittstelle. 3. Aufl. M\\u00fcnchen: Elsevier. ISBN: 978-3-8274-1595-0\\\".Es wird daher sehr empfohlen, sich dieses Buch zu beschaffen. Version 6.01.270 (Realm 6.0.9) Impressum\"}", "start_char_idx": 4818, "end_char_idx": 5516, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "a80218df-9caf-454c-99fd-2a542235e143": {"__data__": {"id_": "a80218df-9caf-454c-99fd-2a542235e143", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "f52d2243-a031-410a-a19b-e7304e604c8d", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "bab8f20fa5164f9e5420600ea933133dad0d2cd3a0d4bfcfacca286278d31832", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "60a7eaba-9928-44fa-acdc-8a62f92e3e82", "node_type": "1", "metadata": {}, "hash": "ce185b4a2c12be1361532e479e21fcf1439a51044e6762526f7d2a3ead8cf01e", "class_name": "RelatedNodeInfo"}}, "text": "{\"url\": \"https://moseskonto.tu-berlin.de/moses/modultransfersystem/bolognamodule/beschreibung/anzeigen.html?number=40020&version=1&sprache=1\", \"Modul / Version\": \"#40020 / #1\", \"G\\u00fcltigkeit\": \"SS 2014 - WS 2014/15\", \"Standard-Anzeigesprache\": \"Deutsch\", \"Titel des Moduls\": \"Systemprogrammierung\", \"Leistungspunkte\": \"6\", \"Modulverantwortliche*r\": \"Kao, Odej\", \"Benotung\": \"benotet\", \"Pr\\u00fcfungsform\": \"Portfoliopr\\u00fcfung\", \"Fakult\\u00e4t\": \"Fakult\\u00e4t IV\", \"Institut\": \"Institut f\\u00fcr Telekommunikationssysteme\", \"Fachgebiet\": \"34331500 FG Distributed and Operating Systems (DOS)\", \"Pr\\u00fcfungsausschuss\": \"Keine Angabe\", \"Sekretariat\": \"TEL 12-5\", \"Ansprechpartner*in\": \"Kao, Odej\", \"E-Mail-Adresse\": \"odej.kao@tu-berlin.de\", \"Webseite\": \"http://www.dos.tu-berlin.de\", \"Semester\": \"WS 2014/15 Zeige auch ausgelaufene Studieng\\u00e4nge und StuPOs\", \"\\n Zeige auch ausgelaufene Studieng\\u00e4nge und StuPOs\\n \": \"WS 2014/15 Zeige auch ausgelaufene Studieng\\u00e4nge und StuPOs\", \"Zugeh\\u00f6rigkeit\": \"No information available.\", \"Kontakt\": \"No information available.", "start_char_idx": 0, "end_char_idx": 1085, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "60a7eaba-9928-44fa-acdc-8a62f92e3e82": {"__data__": {"id_": "60a7eaba-9928-44fa-acdc-8a62f92e3e82", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "f52d2243-a031-410a-a19b-e7304e604c8d", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "bab8f20fa5164f9e5420600ea933133dad0d2cd3a0d4bfcfacca286278d31832", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "a80218df-9caf-454c-99fd-2a542235e143", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "7452d88bfb237f7dc952e5b94664e5d0da8f6388e60e2407e6fd8ef92c0e5070", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "91cad54c-2831-4352-9dcb-7ea405b6f56e", "node_type": "1", "metadata": {}, "hash": "3ce9910dff3a35033c867b9b9046c2d50d485a3d5144412cf7d81a14a7781631", "class_name": "RelatedNodeInfo"}}, "text": "\", \"Kontakt\": \"No information available.\", \"Lernergebnisse\": \"Absolventinnen und Absolventen dieses Moduls haben: * Grundkenntnisse der maschinennahen Programmierung (Systemprogrammierung) und des Aufbaus und der Funktionsweise von Betriebssystemen; * ein Verst\\u00e4ndnis nebenl\\u00e4ufiger Prozesse, deren Synchronisation und Kommunikation sowie der Verwaltung von Betriebsmitteln; * die Fertigkeit in der Erstellung kleiner Assemblerprogramme und der Programmierung nebenl\\u00e4ufiger Prozesse.\", \"Lehrinhalte\": \"* Assemblerprogrammierung: Programmiertechnik, Exception Handling, Interrupt Handling * Nebenl\\u00e4ufigkeit: Prozesse, Threads * Synchronisation und Kommunikation * Betriebsmittelvergabe (Scheduling) * Ein/Ausgabe: Ger\\u00e4teunabh\\u00e4ngigkeit, Treiber * Speicherhierarchie: Caching und Virtualisierung\", \"Modulbestandteile\": \"No information available.\", \"Arbeitsaufwand und Leistungspunkte\": \"TechGI 3: Systemprogrammierung (VL): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Pr\\u00e4senzzeit 15.0 2.0h 30.0h Vor-/Nachbereitung 15.0 4.0h 60.0h TechGI 3: Systemprogrammierung (UE): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Pr\\u00e4senzzeit 15.0 2.0h 30.0h Vor-/Nachbereitung 15.0 4.0h 60.0h Der Aufwand des Moduls summiert sich zu 180.0 Stunden . Damit umfasst das Modul 6 Leistungspunkte .", "start_char_idx": 1045, "end_char_idx": 2393, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "91cad54c-2831-4352-9dcb-7ea405b6f56e": {"__data__": {"id_": "91cad54c-2831-4352-9dcb-7ea405b6f56e", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "f52d2243-a031-410a-a19b-e7304e604c8d", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "bab8f20fa5164f9e5420600ea933133dad0d2cd3a0d4bfcfacca286278d31832", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "60a7eaba-9928-44fa-acdc-8a62f92e3e82", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "d6a61d3f4930109d01bc18e3f52f0b8aa80048c1d8dc0b982c17616345398bb4", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "995d905b-116c-4249-90b2-ef1e2372b2b9", "node_type": "1", "metadata": {}, "hash": "c5077e10afec7926a47dac5828df1c437f00356f30712aa604c7350db8cc4668", "class_name": "RelatedNodeInfo"}}, "text": "\", \"Arbeitsaufwand und Leistungspunkte\": \"TechGI 3: Systemprogrammierung (VL): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Pr\\u00e4senzzeit 15.0 2.0h 30.0h Vor-/Nachbereitung 15.0 4.0h 60.0h TechGI 3: Systemprogrammierung (UE): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Pr\\u00e4senzzeit 15.0 2.0h 30.0h Vor-/Nachbereitung 15.0 4.0h 60.0h Der Aufwand des Moduls summiert sich zu 180.0 Stunden . Damit umfasst das Modul 6 Leistungspunkte .\", \"Beschreibung der Lehr- und Lernformen\": \"In der Vorlesung findet die wesentliche Vermittlung der Inhalte statt. Ausgew\\u00e4hlte Themen der Vorlesung werden in w\\u00f6chentlichen \\u00dcbungen und ca. 6-8 \\u00dcbungsbl\\u00e4ttern vertieft. Die Programmieraufgaben sind als Hausaufgaben in Gruppen zu bearbeiten und vorzuf\\u00fchren.Die \\u00dcbungen werden als Kleingruppentutorien durchgef\\u00fchrt. Ca. 15 Teilnehmer vertiefen und \\u00fcben den in der Vorlesung vermittelten Stoff, besprechen die \\u00dcbungsaufgaben und diskutieren offene Fragen unter der Leitung eines Tutors. Alle 14 Tage findet ein Teil des Tutoriums als Rechner\\u00fcbung statt, die vor allem zur Abgabe der Programmieraufgaben dienen. Die praktischen \\u00dcbungsaufgaben sind in der Programmiersprache C zu bearbeiten.", "start_char_idx": 1916, "end_char_idx": 3188, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "995d905b-116c-4249-90b2-ef1e2372b2b9": {"__data__": {"id_": "995d905b-116c-4249-90b2-ef1e2372b2b9", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "f52d2243-a031-410a-a19b-e7304e604c8d", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "bab8f20fa5164f9e5420600ea933133dad0d2cd3a0d4bfcfacca286278d31832", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "91cad54c-2831-4352-9dcb-7ea405b6f56e", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "2c6cba58f284d176f8bcf9bff495e7523a3e34509ed3aa83b00850e65c9cfa2e", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "b54cf29d-23b4-4d0b-91fb-885065cf3cb4", "node_type": "1", "metadata": {}, "hash": "5de1f6894e0ba2bb350ed1db408e5d4548051b83554f9d801a6e0fdad77c2413", "class_name": "RelatedNodeInfo"}}, "text": "6-8 \\u00dcbungsbl\\u00e4ttern vertieft. Die Programmieraufgaben sind als Hausaufgaben in Gruppen zu bearbeiten und vorzuf\\u00fchren.Die \\u00dcbungen werden als Kleingruppentutorien durchgef\\u00fchrt. Ca. 15 Teilnehmer vertiefen und \\u00fcben den in der Vorlesung vermittelten Stoff, besprechen die \\u00dcbungsaufgaben und diskutieren offene Fragen unter der Leitung eines Tutors. Alle 14 Tage findet ein Teil des Tutoriums als Rechner\\u00fcbung statt, die vor allem zur Abgabe der Programmieraufgaben dienen. Die praktischen \\u00dcbungsaufgaben sind in der Programmiersprache C zu bearbeiten.\", \"Voraussetzungen f\\u00fcr die Teilnahme / Pr\\u00fcfung\": \"W\\u00fcnschenswerte Voraussetzungen f\\u00fcr die Teilnahme an den Lehrveranstaltungen : Kenntnisse aus dem Modul Rechnerorganisation Verpflichtende Voraussetzungen f\\u00fcr die Modulpr\\u00fcfungsanmeldung : Keine Angabe\", \"Dauer des Moduls\": \"F\\u00fcr Belegung und Abschluss des Moduls ist folgende Semesteranzahl veranschlagt: 1 Semester . Dieses Modul kann in folgenden Semestern begonnen werden: Wintersemester .\", \"Maximale teilnehmende Personen\": \"Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.\", \"Anmeldeformalit\\u00e4ten\": \"Die Einteilung der Tutorien erfolgt \\u00fcber MOSES in der ersten Vorlesungswoche. Die Pr\\u00fcfungsanmeldung erfolgt \\u00fcber QISPOS. Die An- und Abmeldefristen werden in der Vorlesung bekannt gegeben. Die Lehrmaterialien werden \\u00fcber ISIS bereitgestellt.", "start_char_idx": 2597, "end_char_idx": 4056, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "b54cf29d-23b4-4d0b-91fb-885065cf3cb4": {"__data__": {"id_": "b54cf29d-23b4-4d0b-91fb-885065cf3cb4", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "f52d2243-a031-410a-a19b-e7304e604c8d", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "bab8f20fa5164f9e5420600ea933133dad0d2cd3a0d4bfcfacca286278d31832", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "995d905b-116c-4249-90b2-ef1e2372b2b9", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "967de9c923cf762127676920b7b201a18c6b9fa2ea5c50566b59eab0b6bc6262", "class_name": "RelatedNodeInfo"}}, "text": "Dieses Modul kann in folgenden Semestern begonnen werden: Wintersemester .\", \"Maximale teilnehmende Personen\": \"Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.\", \"Anmeldeformalit\\u00e4ten\": \"Die Einteilung der Tutorien erfolgt \\u00fcber MOSES in der ersten Vorlesungswoche. 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Sie sind sicher in der Auswahl geeigneter Datenstrukturen.\", \"Lehrinhalte\": \"* Aufwandsabsch\\u00e4tzungen (O-Kalk\\u00fcl) * Korrektheitsnachweise (Hoare-Kalk\\u00fcl) * Suchen und Sortieren * Datenstrukturen: Stack, Queue, verzeigerte Listen, Hashing, Suchb\\u00e4ume, B- B\\u00e4ume, Realisierung von Mengen * Graphenalgorithmen (Tiefen-, Breitensuche, Spannbaum, K\\u00fcrzeste Wege) * Algorithmen f\\u00fcr Optimierungsprobleme: Branch-and-Bound, Backtracking, Dynamische Programmierung, Greedy-Algorithmen, Heuristische Suche\", \"Modulbestandteile\": \"No information available.\", \"Arbeitsaufwand und Leistungspunkte\": \"Algorithmen und Datenstrukturen (VL): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Pr\\u00e4senzzeit 15.0 2.0h 30.0h Vor-/Nachbereitung 15.0 4.0h 60.0h Algorithmen und Datenstrukturen (UE): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Pr\\u00e4senzzeit 15.0 2.0h 30.0h Vor-/Nachbereitung 15.0 4.0h 60.0h Der Aufwand des Moduls summiert sich zu 180.0 Stunden . 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Damit umfasst das Modul 6 Leistungspunkte .\", \"Beschreibung der Lehr- und Lernformen\": \"* Vorlesung* Betreute \\u00dcbungsgruppen* Selbst\\u00e4ndige Bearbeitung von \\u00dcbungsaufgaben in kleinen Gruppen\", \"Voraussetzungen f\\u00fcr die Teilnahme / Pr\\u00fcfung\": \"W\\u00fcnschenswerte Voraussetzungen f\\u00fcr die Teilnahme an den Lehrveranstaltungen : Kenntnisse aus den Modulen \\\"Formale Sprachen und Automaten\\\" und \\\"Berechenbarkeit und Komplexit\\u00e4t\\\" Verpflichtende Voraussetzungen f\\u00fcr die Modulpr\\u00fcfungsanmeldung : Keine Angabe\", \"Dauer des Moduls\": \"F\\u00fcr Belegung und Abschluss des Moduls ist folgende Semesteranzahl veranschlagt: 1 Semester . Dieses Modul kann in folgenden Semestern begonnen werden: Wintersemester .\", \"Maximale teilnehmende Personen\": \"Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.", "start_char_idx": 2766, "end_char_idx": 3989, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "745b68be-e7bf-4cca-b9e1-416e4674c080": {"__data__": {"id_": "745b68be-e7bf-4cca-b9e1-416e4674c080", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40023.json", "file_name": "40023.json", "file_type": "application/json", "file_size": 4475, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "84a236fd-60be-4517-91ef-51c0df66e15b", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40023.json", "file_name": "40023.json", "file_type": "application/json", "file_size": 4475, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "e789453fb060eb29ec4749a398ddd2efe484accb0f2702527811e90146481d5c", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "a7ec5f83-8d5e-4b31-a72b-212744ab9089", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40023.json", "file_name": "40023.json", "file_type": "application/json", "file_size": 4475, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "cda15285a7010650ba431a7b55e3fcab3c219eb2eed71d19a0554e285eac0319", "class_name": "RelatedNodeInfo"}}, "text": "Dieses Modul kann in folgenden Semestern begonnen werden: Wintersemester .\", \"Maximale teilnehmende Personen\": \"Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.\", \"Anmeldeformalit\\u00e4ten\": \"Die Einteilung der Tutorien erfolgt \\u00fcber MOSES in der ersten Vorlesungswoche. 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Sie kennen Techniken zur Projektorganisation und haben \\u00dcberblickswissen zu Softwarequalit\\u00e4t und Anforderungsanalyse. Durch die Arbeit im Team haben sie eine hohe Sozialkompetenz.\", \"Lehrinhalte\": \"* Requirements Engineering \\u0095* Vorgehensmodelle \\u0095* Projektorganisation \\u0095* Objektorientierte Entwicklungsmethoden* Komponenten und Modularisierung* Verhaltensbeschreibungen* Qualit\\u00e4tssicherung (z.B. Testen)* Klassifikation von Softwaresystemen nach Architektur- und Anwendungszweck* Funktionale Programmierung\", \"Modulbestandteile\": \"No information available.\", \"Arbeitsaufwand und Leistungspunkte\": \"Softwaretechnik und Programmierparadigmen (VL): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Pr\\u00e4senzzeit 15.0 2.0h 30.0h Vor-/Nachbereitung 15.0 4.0h 60.0h Softwaretechnik und Programmierparadigmen (UE): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Pr\\u00e4senzzeit 15.0 2.0h 30.0h Vor-/Nachbereitung 15.0 4.0h 60.0h Der Aufwand des Moduls summiert sich zu 180.0 Stunden . Damit umfasst das Modul 6 Leistungspunkte .\", \"Beschreibung der Lehr- und Lernformen\": \"Im Vorlesungsanteil der Veranstaltung Softwaretechnik werden die Konzepte anhand von (semi-) formalen Spezifikationssprachen vermittelt.", "start_char_idx": 1174, "end_char_idx": 2638, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "49b77ec3-1d94-421f-828b-64d8384e5561": {"__data__": {"id_": "49b77ec3-1d94-421f-828b-64d8384e5561", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40029.json", "file_name": "40029.json", "file_type": "application/json", "file_size": 3974, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "119e13b8-5013-4a9a-a37b-f80bfb351d18", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40029.json", "file_name": "40029.json", "file_type": "application/json", "file_size": 3974, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "f27e6f84e5556f8f617645a3bd0320d2a60bba08c667e2953ca0d14ebda0bd10", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "15e1b78c-0524-406f-a369-c2a80f8ba466", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40029.json", "file_name": "40029.json", "file_type": "application/json", "file_size": 3974, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "04dddafba9ea68c0690de3cb9ae6d9c1a6a2a0fc0fc81ba1c626e6fc71cb7d56", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "ea20413d-3e59-4f25-b3bb-5b60bb5fc19d", "node_type": "1", "metadata": {}, "hash": "5de1f6894e0ba2bb350ed1db408e5d4548051b83554f9d801a6e0fdad77c2413", "class_name": "RelatedNodeInfo"}}, "text": "Damit umfasst das Modul 6 Leistungspunkte .\", \"Beschreibung der Lehr- und Lernformen\": \"Im Vorlesungsanteil der Veranstaltung Softwaretechnik werden die Konzepte anhand von (semi-) formalen Spezifikationssprachen vermittelt. In den \\u00dcbungen werden in Kleingruppen konkrete Beispielanwendungen mit den eingef\\u00fchrten Spezifikationssprachen bearbeitet und in einer objektorientierten Programmiersprache prototypisch implementiert.\", \"Voraussetzungen f\\u00fcr die Teilnahme / Pr\\u00fcfung\": \"W\\u00fcnschenswerte Voraussetzungen f\\u00fcr die Teilnahme an den Lehrveranstaltungen : Kenntnisse aus den Modulen \\\"Einf\\u00fchrung in die Programmierung\\\" und \\\"Algorithmen und Datenstrukturen\\\" Verpflichtende Voraussetzungen f\\u00fcr die Modulpr\\u00fcfungsanmeldung : Keine Angabe\", \"Dauer des Moduls\": \"F\\u00fcr Belegung und Abschluss des Moduls ist folgende Semesteranzahl veranschlagt: 1 Semester . Dieses Modul kann in folgenden Semestern begonnen werden: Wintersemester .\", \"Maximale teilnehmende Personen\": \"Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.\", \"Anmeldeformalit\\u00e4ten\": \"Die Einteilung der Tutorien erfolgt \\u00fcber MOSES in der ersten Vorlesungswoche. Die Pr\\u00fcfungsanmeldung erfolgt \\u00fcber QISPOS. Die An- und Abmeldefristen werden in der Vorlesung bekannt gegeben. Die Lehrmaterialien werden \\u00fcber ISIS bereitgestellt.\", \"Literaturhinweise, Skripte\": \"No information available.\", \"Zugeordnete Studieng\\u00e4nge\": \"No information available.", "start_char_idx": 2414, "end_char_idx": 3902, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "ea20413d-3e59-4f25-b3bb-5b60bb5fc19d": {"__data__": {"id_": "ea20413d-3e59-4f25-b3bb-5b60bb5fc19d", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40029.json", "file_name": "40029.json", "file_type": "application/json", "file_size": 3974, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "119e13b8-5013-4a9a-a37b-f80bfb351d18", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40029.json", "file_name": "40029.json", "file_type": "application/json", "file_size": 3974, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "f27e6f84e5556f8f617645a3bd0320d2a60bba08c667e2953ca0d14ebda0bd10", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "49b77ec3-1d94-421f-828b-64d8384e5561", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40029.json", "file_name": "40029.json", "file_type": "application/json", "file_size": 3974, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "100cfb24eee2bb85699917eb4a5e80268140e192315949f1e39dffc9334cfbb3", "class_name": "RelatedNodeInfo"}}, "text": "Dieses Modul kann in folgenden Semestern begonnen werden: Wintersemester .\", \"Maximale teilnehmende Personen\": \"Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.\", \"Anmeldeformalit\\u00e4ten\": \"Die Einteilung der Tutorien erfolgt \\u00fcber MOSES in der ersten Vorlesungswoche. 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Damit umfasst das Modul 6 Leistungspunkte .\", \"Beschreibung der Lehr- und Lernformen\": \"Der Stoff wird in einer Vorlesung vermittelt. 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In den begleitenden w\\u00f6chentlichen \\u00dcbungen (Tutorien) wird der Stoff durch Bearbeitung von \\u00dcbungsbl\\u00e4ttern und praktische Arbeit am Rechner vertieft.\", \"Voraussetzungen f\\u00fcr die Teilnahme / Pr\\u00fcfung\": \"W\\u00fcnschenswerte Voraussetzungen f\\u00fcr die Teilnahme an den Lehrveranstaltungen : Kenntnisse in \\\"Lineare Algebra f\\u00fcr Ingenieurwissenschaften\\\" und \\\"Analysis I f\\u00fcr Ingenieurwissenschaften\\\" Verpflichtende Voraussetzungen f\\u00fcr die Modulpr\\u00fcfungsanmeldung : 1. Voraussetzung Unbenoteter \\u00dcbungsschein\", \"Dauer des Moduls\": \"F\\u00fcr Belegung und Abschluss des Moduls ist folgende Semesteranzahl veranschlagt: 1 Semester . 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Sie besitzen ein Grundverst\\u00e4ndnis der Berechenbarkeit von Entscheidungsproblemen und grundlegender Komplexit\\u00e4tsklassen. Sie sind bef\\u00e4higt, die Komplexit\\u00e4t ausgew\\u00e4hlter Problembeispiele zu beurteilen. 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Zudem wird eine Gro\\u00df\\u00fcbung angeboten, in der nochmals auf besondere Themen der Vorlesung eingegangen wird sowie Probleml\\u00f6sungen erl\\u00e4utert werden. Es wird jedoch kein zus\\u00e4tzlicher Lehrstoff vermittelt, daher ist die Teilnahme fakultativ.Die Anwendung und Festigung des Stoffs geschieht durch das regelm\\u00e4\\u00dfige Bearbeiten von Aufgabenbl\\u00e4ttern und die Besprechung des Stoffs und der Aufgaben in Tutorien im interaktiven Stil. Die Aufgaben werden von den Studierenden in Kleingruppen bearbeitet.\", \"Voraussetzungen f\\u00fcr die Teilnahme / Pr\\u00fcfung\": \"W\\u00fcnschenswerte Voraussetzungen f\\u00fcr die Teilnahme an den Lehrveranstaltungen : Es werden Kenntnisse aus dem Modul \\u201eFormale Sprachen und Automaten\\u201d vorausgesetzt. 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server/storage/docstore.json | 1 - server/storage/graph_store.json | 1 - server/storage/image__vector_store.json | 1 - server/storage/index_store.json | 1 - 10 files changed, 30 insertions(+), 23 deletions(-) delete mode 100644 server/storage/default__vector_store.json delete mode 100644 server/storage/docstore.json delete mode 100644 server/storage/graph_store.json delete mode 100644 server/storage/image__vector_store.json delete mode 100644 server/storage/index_store.json diff --git a/.gitignore b/.gitignore index bb8d94a..2c5d82f 100644 --- a/.gitignore +++ b/.gitignore @@ -7,13 +7,14 @@ transcription.txt Llama-3-8B-function-calling* -/__pycache__ +*__pycache__ /.vscode /venv /audio_files/* /myenv/ .DS_Store +*storage /tutor_ai/llama3/llama3testing /tutor_ai/llama3/config.json /tutor_ai/SeleniumCrawler/config.json diff --git a/server/function_calling/llama3.py b/server/function_calling/llama3.py index bad31a5..76734b1 100644 --- a/server/function_calling/llama3.py +++ b/server/function_calling/llama3.py @@ -8,20 +8,27 @@ class LLama3: path_to_model: str path_to_tokenizer: str + path_to_dir: str + functions: str model: AutoModelForCausalLM tokenizer: AutoTokenizer pipeline: Pipeline chat: list[dict[str, str]] = [] chat_length: int = 0 - def __init__(self, destination_path: str, functions: str, model_link: str | None = None, tokenizer_link: str | None = None) -> None: - self.path_to_model = destination_path + "-model" - self.path_to_tokenizer = destination_path + "-tokenizer" + def __init__(self, destination_path: str, model_link: str | None = None, tokenizer_link: str | None = None) -> None: + self.path_to_dir = os.path.dirname(__file__) + self.path_to_model = os.path.join(self.path_to_dir, destination_path + "-model") + self.path_to_tokenizer = os.path.join(self.path_to_dir, destination_path + "-tokenizer") + if model_link is not None and not (os.path.exists(self.path_to_model) and os.path.isdir(self.path_to_model)): download_google_drive_folder(model_link, self.path_to_model) + if tokenizer_link is not None and not (os.path.exists(self.path_to_tokenizer) and os.path.isdir(self.path_to_tokenizer)): download_google_drive_folder(tokenizer_link, self.path_to_tokenizer) - system_msg = "You are a helpful assistant with access to the following functions. Use them if required -\n{\n" + functions + "\n}" + + self.search_functions() + system_msg = "You are a helpful assistant with access to the following functions. Use them if required -\n{\n" + self.functions + "\n}" self.append_to_chat("system", system_msg) self.prepare() @@ -33,6 +40,11 @@ def append_to_chat(self, role: str, content: str): msg = self.chat.pop(1) self.chat_length -= len(msg["content"].split()) + def search_functions(self): + func_path = os.path.join(self.path_to_dir, "functions.json") + with open(func_path, 'r') as file: + self.functions = file.read() + def prepare(self): tokenizer = AutoTokenizer.from_pretrained(self.path_to_tokenizer) tokenizer.padding_side = "right" diff --git a/server/function_calling/main.py b/server/function_calling/main.py index 124d7c4..5d0f375 100644 --- a/server/function_calling/main.py +++ b/server/function_calling/main.py @@ -1,5 +1,5 @@ import json - +import os # get the functions/classes from group b,c from llama3 import LLama3 from actions.wolfram import ask_wolfram_question @@ -37,9 +37,7 @@ def process_input(model: LLama3, transcription: str): return output if __name__ == "__main__": - with open('functions.json', 'r') as file: - functions = file.read() - llamaModel = LLama3("Llama-3-8B-function-calling", functions, "https://drive.google.com/drive/folders/1CJtn-3nCfQT3FU3pOgA3zTIdPLQ9n3x6?usp=sharing", "https://drive.google.com/drive/folders/1RmhIu2FXqwu4TxIQ9GpDtYb_IXWoVd7z?usp=sharing") + llamaModel = LLama3("Llama-3-8B-function-calling", "https://drive.google.com/drive/folders/1CJtn-3nCfQT3FU3pOgA3zTIdPLQ9n3x6?usp=sharing", "https://drive.google.com/drive/folders/1RmhIu2FXqwu4TxIQ9GpDtYb_IXWoVd7z?usp=sharing") while True: user_input = input("User: ") output = process_input(llamaModel, user_input) diff --git a/server/function_calling/tutor_ai/backend/ChatEngine.py b/server/function_calling/tutor_ai/backend/ChatEngine.py index f7ce0ff..3ffe559 100644 --- a/server/function_calling/tutor_ai/backend/ChatEngine.py +++ b/server/function_calling/tutor_ai/backend/ChatEngine.py @@ -9,6 +9,7 @@ ) from llama_index.core.memory import ChatMemoryBuffer import requests +import os model = None @@ -20,7 +21,9 @@ def __init__(self) -> None: Settings.embed_model = embedding_llm Settings.chunk_size = 512 - storage_context = StorageContext.from_defaults(persist_dir="./storage") + path_to_dir = os.path.dirname(__file__) + persist_dir = os.path.join(path_to_dir, "storage") + storage_context = StorageContext.from_defaults(persist_dir=persist_dir) index = load_index_from_storage(storage_context=storage_context) memory = ChatMemoryBuffer.from_defaults(token_limit=3900) @@ -44,14 +47,14 @@ def web_search(self, query): return response.json()['results'] def generate(self, input: str) -> str: - return self.chat_engine.chat(input) + return self.chat_engine.chat(input).response # API for function calling -def ask_TutorAI_question(input: str) -> str: +def ask_TutorAI_question(question: str) -> str: global model if model is None: model = TutorAI() - return model.generate(input) + return model.generate(question) if __name__ == "__main__": print("Type 'quit' to exit the program") diff --git a/server/service.py b/server/service.py index 524ac5a..f967079 100644 --- a/server/service.py +++ b/server/service.py @@ -8,8 +8,8 @@ from pydantic import BaseModel from starlette.middleware.cors import CORSMiddleware from starlette.responses import RedirectResponse, FileResponse -from main import process_input -from llama3 import LLama3 +from function_calling.main import process_input +from function_calling.llama3 import LLama3 # define model size (tiny, base, medium, large) WHISPER_MODEL = "medium" @@ -33,9 +33,7 @@ model = load_model(WHISPER_MODEL, device=torch.device("cpu")) # also load the llama model -with open('functions.json', 'r') as file: - functions = file.read() -llamaModel = LLama3("Llama-3-8B-function-calling", functions, "https://drive.google.com/drive/folders/1Q-EV7D7pEeYl1On_d2JzxFEB67-KmEm3?usp=sharing") +llamaModel = LLama3("Llama-3-8B-function-calling", "https://drive.google.com/drive/folders/1Q-EV7D7pEeYl1On_d2JzxFEB67-KmEm3?usp=sharing", 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Sie besitzen die F\\u00e4higkeit zur strukturierten Argumentation im Sinne mathematischer Beweisf\\u00fchrungen und sind in der Lage durch Abstraktionen von konkreten Sachverhalten auf allgemeine Sachverhalte zu wechseln.", "start_char_idx": 0, "end_char_idx": 1396, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "38c5cc91-a401-4354-b4b4-7e4108f114dd": {"__data__": {"id_": "38c5cc91-a401-4354-b4b4-7e4108f114dd", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "034e6489-0c3c-4b58-a401-ba69e2ed69d1", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "b8ae1772603501a7d03a8affe2fd4a85c303b927f2a598a356dd94fa638cbd5c", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "3ceacfc0-ba9f-4ca0-ae31-3a93fd2d5df7", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "04d97b37a7a7a1089e1d2fc71368531efba42d09f0c51e608864353231377ecd", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "3a3ceebf-41c4-40f2-b27a-adf2e908df21", "node_type": "1", "metadata": {}, "hash": "d685bff2d7b1600def565dea1b90bd68d544d15788de8737d4d974964898d830", "class_name": "RelatedNodeInfo"}}, "text": "\", \"Kontakt\": \"No information available.\", \"Lernergebnisse\": \"Absolventinnen und Absolventen dieses Moduls beherrschen einen Grundstock an mathematischen und logischen Grundlagen der Theoretischen Informatik und zur grunds\\u00e4tzlichen Unterscheidung zwischen Syntax und Semantik. Sie besitzen die F\\u00e4higkeit zur strukturierten Argumentation im Sinne mathematischer Beweisf\\u00fchrungen und sind in der Lage durch Abstraktionen von konkreten Sachverhalten auf allgemeine Sachverhalte zu wechseln. Sie beherrschen den Umgang mit formalen Sprachen, Grammatiken, endlichen Automaten, und Kellerautomaten. Entsprechende Aufgabenstellungen k\\u00f6nnen sie sowohl selbst\\u00e4ndigals auch in Kleingruppen bearbeiten.\", \"Lehrinhalte\": \"* Mengen, logische Aussagen, Beweisnotation, Beweistechniken* Relationen, Ordnungen, Abbildungen, \\u00c4quivalenzen, Quotienten* W\\u00f6rter, Sprachen, Ausdr\\u00fccke* Grammatiken, Automaten, Kellerautomaten\", \"Modulbestandteile\": \"No information available.", "start_char_idx": 895, "end_char_idx": 1886, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "3a3ceebf-41c4-40f2-b27a-adf2e908df21": {"__data__": {"id_": "3a3ceebf-41c4-40f2-b27a-adf2e908df21", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "034e6489-0c3c-4b58-a401-ba69e2ed69d1", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "b8ae1772603501a7d03a8affe2fd4a85c303b927f2a598a356dd94fa638cbd5c", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "38c5cc91-a401-4354-b4b4-7e4108f114dd", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "f96d7ef7b14d7a27f781724d5e58c3309d39b9590b2250015fb8bf0621be4613", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "480eb182-6b73-44de-a61c-42828cdd3182", "node_type": "1", "metadata": {}, "hash": "6ba54ad3492ea795014a36e3496c89c935c5f4350735b2c2c936077a95e973af", "class_name": "RelatedNodeInfo"}}, "text": "Sie beherrschen den Umgang mit formalen Sprachen, Grammatiken, endlichen Automaten, und Kellerautomaten. Entsprechende Aufgabenstellungen k\\u00f6nnen sie sowohl selbst\\u00e4ndigals auch in Kleingruppen bearbeiten.\", \"Lehrinhalte\": \"* Mengen, logische Aussagen, Beweisnotation, Beweistechniken* Relationen, Ordnungen, Abbildungen, \\u00c4quivalenzen, Quotienten* W\\u00f6rter, Sprachen, Ausdr\\u00fccke* Grammatiken, Automaten, Kellerautomaten\", \"Modulbestandteile\": \"No information available.\", \"Arbeitsaufwand und Leistungspunkte\": \"Formale Sprachen und Automaten (VL): Aufwandbeschreibung Multiplikator Stunden Gesamt 75.0h (~3 LP) Pr\\u00e4senzzeit 15.0 2.0h 30.0h Studium (Vor-/Nachbereitung) 15.0 3.0h 45.0h Formale Sprachen und Automaten (UE): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Hausaufgaben 4.0 15.0h 60.0h Pr\\u00e4senzzeit 15.0 2.0h 30.0h Lehrveranstaltungsunabh\\u00e4ngiger Aufwand: Aufwandbeschreibung Multiplikator Stunden Gesamt 15.0h (~1 LP) Pr\\u00fcfungsvorbereitung 2.0 7.5h 15.0h Der Aufwand des Moduls summiert sich zu 180.0 Stunden . Damit umfasst das Modul 6 Leistungspunkte .\", \"Beschreibung der Lehr- und Lernformen\": \"Die fachlichen Inhalte des Moduls werden in einer Vorlesung vermittelt.", "start_char_idx": 1397, "end_char_idx": 2632, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "480eb182-6b73-44de-a61c-42828cdd3182": {"__data__": {"id_": "480eb182-6b73-44de-a61c-42828cdd3182", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "034e6489-0c3c-4b58-a401-ba69e2ed69d1", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "b8ae1772603501a7d03a8affe2fd4a85c303b927f2a598a356dd94fa638cbd5c", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "3a3ceebf-41c4-40f2-b27a-adf2e908df21", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "f604e6975bd9e610d2b9ff5c3adc02ebad5c9385b9beb60c8ffab19895932b76", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "47ebca7b-dd3f-45ae-9461-f912479c2a66", "node_type": "1", "metadata": {}, "hash": "a121a63166d69ab4fc7f3f2f451ccccbf423ae2694770836bf36baf9874a7d68", "class_name": "RelatedNodeInfo"}}, "text": "Damit umfasst das Modul 6 Leistungspunkte .\", \"Beschreibung der Lehr- und Lernformen\": \"Die fachlichen Inhalte des Moduls werden in einer Vorlesung vermittelt. Die Anwendung und Festigung des Stoffs geschieht durch das regelm\\u00e4\\u00dfige gemeinsame Bearbeiten von Aufgabenbl\\u00e4ttern und die Besprechung des Stoffs und der Aufgaben in Tutorien im interaktiven Stil. Die Hausaufgaben werden von den Studierenden in Kleingruppen bearbeitet.\", \"Voraussetzungen f\\u00fcr die Teilnahme / Pr\\u00fcfung\": \"W\\u00fcnschenswerte Voraussetzungen f\\u00fcr die Teilnahme an den Lehrveranstaltungen : keine Verpflichtende Voraussetzungen f\\u00fcr die Modulpr\\u00fcfungsanmeldung : Keine Angabe\", \"Dauer des Moduls\": \"F\\u00fcr Belegung und Abschluss des Moduls ist folgende Semesteranzahl veranschlagt: 1 Semester . Dieses Modul kann in folgenden Semestern begonnen werden: Wintersemester .\", \"Maximale teilnehmende Personen\": \"Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.\", \"Anmeldeformalit\\u00e4ten\": \"Die Einteilung der Tutorien erfolgt \\u00fcber MOSES in der ersten Vorlesungswoche. Die Pr\\u00fcfungsanmeldung erfolgt \\u00fcber QISPOS. Die An- und Abmeldefristen werden in der Vorlesung bekannt gegeben. Die Lehrmaterialien werden \\u00fcber ISIS bereitgestellt.\", \"Literaturhinweise, Skripte\": \"No information available.\", \"Zugeordnete Studieng\\u00e4nge\": \"Dieses Modul findet in keinem Studiengang Verwendung.", "start_char_idx": 2473, "end_char_idx": 3894, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "47ebca7b-dd3f-45ae-9461-f912479c2a66": {"__data__": {"id_": "47ebca7b-dd3f-45ae-9461-f912479c2a66", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "034e6489-0c3c-4b58-a401-ba69e2ed69d1", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "b8ae1772603501a7d03a8affe2fd4a85c303b927f2a598a356dd94fa638cbd5c", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "480eb182-6b73-44de-a61c-42828cdd3182", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40018.json", "file_name": "40018.json", "file_type": "application/json", "file_size": 4071, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "a6673fd8c4e110f3663319f48bf36ca8f802420f6f391d5c6035b9d82044ec22", "class_name": "RelatedNodeInfo"}}, "text": "Dieses Modul kann in folgenden Semestern begonnen werden: Wintersemester .\", \"Maximale teilnehmende Personen\": \"Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.\", \"Anmeldeformalit\\u00e4ten\": \"Die Einteilung der Tutorien erfolgt \\u00fcber MOSES in der ersten Vorlesungswoche. Die Pr\\u00fcfungsanmeldung erfolgt \\u00fcber QISPOS. Die An- und Abmeldefristen werden in der Vorlesung bekannt gegeben. Die Lehrmaterialien werden \\u00fcber ISIS bereitgestellt.\", \"Literaturhinweise, Skripte\": \"No information available.\", \"Zugeordnete Studieng\\u00e4nge\": \"Dieses Modul findet in keinem Studiengang Verwendung. 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Sie verstehen, wie ein in einer h\\u00f6heren Programmiersprache (wie z. B. C oder Java) geschriebenes Programm in eine Maschinensprache \\u00fcbersetzt und von einem digitalen System ausgef\\u00fchrt werden kann. Ferner sind Sie auch in der Lage, die mit der Bearbeitung der Maschinenbefehle einhergehenden logischen Abl\\u00e4ufe in einem digitalen System auf der Registertransferebene nachzuvollziehen und zu erweitern. Sie haben dar\\u00fcber hinaus die Kompetenz, die Funktionalit\\u00e4t eines Systems in konstruktiver Weise mittels eines endlichen Automaten oder mittels Mikroprogrammierung festzulegen. Au\\u00dferdem verf\\u00fcgen sie \\u00fcber Kompetenzen in den bei digitalen Systemen verwendeten Zahlendarstellungen und in den f\\u00fcr die arithmetischen Operationen zugrunde liegenden Mikroalgorithmen. Hinzu kommen Kompetenzen im grunds\\u00e4tzlichen Aufbau digitaler Systeme, einschlie\\u00dflich der Ein-/Ausgabeorganisation, und in den elementaren Strukturprinzipien von Rechnern.", "start_char_idx": 1120, "end_char_idx": 2270, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "84d14d65-e7e6-4406-aff8-9753e7804251": {"__data__": {"id_": "84d14d65-e7e6-4406-aff8-9753e7804251", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "913c0449-2cf5-4243-ad15-72b44fe33ce8", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "7e98f193a0d6f0776a45d855b04adfcb263a7862be611ca2eb6bd44889ebea71", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "be645448-0579-4fa5-98b6-f2f7c6856e29", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "295000e2a636e92816073f4f8496772f8384398fd409040c5ad3c949f25ec415", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "c75e0a71-5435-4afe-ad19-7ab670d0f066", "node_type": "1", "metadata": {}, "hash": "08998af1902b5f80bf84cc8d7f52a4932030c10cb3d76ab4662e88c025f191a3", "class_name": "RelatedNodeInfo"}}, "text": "Sie haben dar\\u00fcber hinaus die Kompetenz, die Funktionalit\\u00e4t eines Systems in konstruktiver Weise mittels eines endlichen Automaten oder mittels Mikroprogrammierung festzulegen. Au\\u00dferdem verf\\u00fcgen sie \\u00fcber Kompetenzen in den bei digitalen Systemen verwendeten Zahlendarstellungen und in den f\\u00fcr die arithmetischen Operationen zugrunde liegenden Mikroalgorithmen. Hinzu kommen Kompetenzen im grunds\\u00e4tzlichen Aufbau digitaler Systeme, einschlie\\u00dflich der Ein-/Ausgabeorganisation, und in den elementaren Strukturprinzipien von Rechnern.\", \"Lehrinhalte\": \"- Grundlagen im Entwurf digitaler Systeme (kombinatorische Logik, Gatter, Wahrheitstabellen, Speicherlemente, endliche Zustandsautomaten)- Grundlegende Technologien und Komponenten einer Rechnerarchitektur- Assemblerprogrammierung: Assemblersprache, Steuerkonstrukte, Adressierungsarten- Rechnerarithmetik: Zahlendarstellungen (Stellenwertsysteme, Fest- und Gleitpunktzahlen)- Mikroalgorithmen f\\u00fcr arithmetische Operationen- Codes (Ziffern- und Zeichencodes, Codesicherung)- Rechenleistung verstehen und beurteilen (SPEC Benchmarks, Amdahl\\u2019s Law)- Aufbau und Funktionsweise eines einfachen Von-Neumann-Rechners- Aufbau und Funktionsweise einer Mehrzyklenimplementierung- Flie\\u00dfbandverarbeitung (Pipelining), Pipelinekonflikte und ihre L\\u00f6sungen- Speicherhierarchie, Caches, virtueller Speicher- Ein-/Ausgabetechniken (Adressierung, Synchronisation, Direktspeicherzugriff)\", \"Modulbestandteile\": \"No information available.", "start_char_idx": 1700, "end_char_idx": 3228, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "c75e0a71-5435-4afe-ad19-7ab670d0f066": {"__data__": {"id_": "c75e0a71-5435-4afe-ad19-7ab670d0f066", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "913c0449-2cf5-4243-ad15-72b44fe33ce8", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "7e98f193a0d6f0776a45d855b04adfcb263a7862be611ca2eb6bd44889ebea71", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "84d14d65-e7e6-4406-aff8-9753e7804251", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "7ab836ed4b848f038b2bb7ff3e986b57af367ae8c94d7ace20f91aa981ecdf68", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "457a379c-0d20-4d84-b95d-309160896aab", "node_type": "1", "metadata": {}, "hash": "6dd71f1c4e4ccb5a9e201489b5a451c50fa7cba478da13d085bb7e0297530eef", "class_name": "RelatedNodeInfo"}}, "text": "\", \"Arbeitsaufwand und Leistungspunkte\": \"TechGI 2: Rechnerorganisation (VL): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Pr\\u00e4senzzeit 15.0 2.0h 30.0h Vor-/Nachbereitung 15.0 4.0h 60.0h TechGI 2: Rechnerorganisation (UE): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Hausaufgaben 4.0 7.5h 30.0h Pr\\u00e4senzzeit 15.0 2.0h 30.0h Vor-/Nachbereitung 15.0 2.0h 30.0h Der Aufwand des Moduls summiert sich zu 180.0 Stunden . Damit umfasst das Modul 6 Leistungspunkte .\", \"Beschreibung der Lehr- und Lernformen\": \"- Vorlesung zur Stoffvermittlung mit begleitenden w\\u00f6chentlichen \\u00dcbungen (Tutorien, z.T. betreute Rechnerzeiten) zur Festigung und Ein\\u00fcbung des Stoffes- Bearbeitung von \\u00dcbungsbl\\u00e4ttern und Programmieraufgaben in KleingruppenWerkzeug: Simulator und Assembler f\\u00fcr einen einfachen Von-Neumann-Rechner (MIPS-Prozessor)\", \"Voraussetzungen f\\u00fcr die Teilnahme / Pr\\u00fcfung\": \"W\\u00fcnschenswerte Voraussetzungen f\\u00fcr die Teilnahme an den Lehrveranstaltungen : Keine Verpflichtende Voraussetzungen f\\u00fcr die Modulpr\\u00fcfungsanmeldung : 1.", "start_char_idx": 3228, "end_char_idx": 4349, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "457a379c-0d20-4d84-b95d-309160896aab": {"__data__": {"id_": "457a379c-0d20-4d84-b95d-309160896aab", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "913c0449-2cf5-4243-ad15-72b44fe33ce8", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "7e98f193a0d6f0776a45d855b04adfcb263a7862be611ca2eb6bd44889ebea71", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "c75e0a71-5435-4afe-ad19-7ab670d0f066", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "c02dbe14b2cc2143c31420df83398c20891a72267e7229dbfe0070ab3167eb74", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "62fa4f13-adc1-4e37-b570-972d6fb06de3", "node_type": "1", "metadata": {}, "hash": "083765f609612cea2385d13d14dd04e3c554b0da628f87a271f1647a1b65f295", "class_name": "RelatedNodeInfo"}}, "text": "betreute Rechnerzeiten) zur Festigung und Ein\\u00fcbung des Stoffes- Bearbeitung von \\u00dcbungsbl\\u00e4ttern und Programmieraufgaben in KleingruppenWerkzeug: Simulator und Assembler f\\u00fcr einen einfachen Von-Neumann-Rechner (MIPS-Prozessor)\", \"Voraussetzungen f\\u00fcr die Teilnahme / Pr\\u00fcfung\": \"W\\u00fcnschenswerte Voraussetzungen f\\u00fcr die Teilnahme an den Lehrveranstaltungen : Keine Verpflichtende Voraussetzungen f\\u00fcr die Modulpr\\u00fcfungsanmeldung : 1. Voraussetzung Hausaufgaben im Tutorium Rechnerorganisation\", \"Dauer des Moduls\": \"F\\u00fcr Belegung und Abschluss des Moduls ist folgende Semesteranzahl veranschlagt: 1 Semester . Dieses Modul kann in folgenden Semestern begonnen werden: Wintersemester .\", \"Maximale teilnehmende Personen\": \"Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.\", \"Anmeldeformalit\\u00e4ten\": \"Die Einteilung der Tutorien erfolgt \\u00fcber MOSES in der ersten Vorlesungswoche. Die Pr\\u00fcfungsanmeldung erfolgt \\u00fcber QISPOS und ist erst nach dem erfolgreichen Bestehen der Hausaufgaben m\\u00f6glich. Die An- und Abmeldefristen werden in der Vorlesung bekannt gegeben. Die Lehrmaterialien werden \\u00fcber ISIS bereitgestellt.\", \"Literaturhinweise, Skripte\": \"No information available.\", \"Zugeordnete Studieng\\u00e4nge\": \"No information available.\", \"Sonstiges\": \"Die Vorlesung basiert auf:\\\"Patterson, A.P.; Hennessy, J.L. (2005): Rechnerorganisation und \\u2013entwurf, Die Hardware/Software-Schnittstelle.", "start_char_idx": 3874, "end_char_idx": 5352, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "62fa4f13-adc1-4e37-b570-972d6fb06de3": {"__data__": {"id_": "62fa4f13-adc1-4e37-b570-972d6fb06de3", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "913c0449-2cf5-4243-ad15-72b44fe33ce8", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "7e98f193a0d6f0776a45d855b04adfcb263a7862be611ca2eb6bd44889ebea71", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "457a379c-0d20-4d84-b95d-309160896aab", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40019.json", "file_name": "40019.json", "file_type": "application/json", "file_size": 5516, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "64b4f5ace742487351a8450875618886838f57c291ae8d734c8a9879a74c9226", "class_name": "RelatedNodeInfo"}}, "text": "Die Pr\\u00fcfungsanmeldung erfolgt \\u00fcber QISPOS und ist erst nach dem erfolgreichen Bestehen der Hausaufgaben m\\u00f6glich. Die An- und Abmeldefristen werden in der Vorlesung bekannt gegeben. Die Lehrmaterialien werden \\u00fcber ISIS bereitgestellt.\", \"Literaturhinweise, Skripte\": \"No information available.\", \"Zugeordnete Studieng\\u00e4nge\": \"No information available.\", \"Sonstiges\": \"Die Vorlesung basiert auf:\\\"Patterson, A.P.; Hennessy, J.L. (2005): Rechnerorganisation und \\u2013entwurf, Die Hardware/Software-Schnittstelle. 3. Aufl. M\\u00fcnchen: Elsevier. ISBN: 978-3-8274-1595-0\\\".Es wird daher sehr empfohlen, sich dieses Buch zu beschaffen. 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Damit umfasst das Modul 6 Leistungspunkte .", "start_char_idx": 1045, "end_char_idx": 2393, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "91cad54c-2831-4352-9dcb-7ea405b6f56e": {"__data__": {"id_": "91cad54c-2831-4352-9dcb-7ea405b6f56e", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "f52d2243-a031-410a-a19b-e7304e604c8d", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "bab8f20fa5164f9e5420600ea933133dad0d2cd3a0d4bfcfacca286278d31832", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "60a7eaba-9928-44fa-acdc-8a62f92e3e82", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "d6a61d3f4930109d01bc18e3f52f0b8aa80048c1d8dc0b982c17616345398bb4", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "995d905b-116c-4249-90b2-ef1e2372b2b9", "node_type": "1", "metadata": {}, "hash": "c5077e10afec7926a47dac5828df1c437f00356f30712aa604c7350db8cc4668", "class_name": "RelatedNodeInfo"}}, "text": "\", \"Arbeitsaufwand und Leistungspunkte\": \"TechGI 3: Systemprogrammierung (VL): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Pr\\u00e4senzzeit 15.0 2.0h 30.0h Vor-/Nachbereitung 15.0 4.0h 60.0h TechGI 3: Systemprogrammierung (UE): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Pr\\u00e4senzzeit 15.0 2.0h 30.0h Vor-/Nachbereitung 15.0 4.0h 60.0h Der Aufwand des Moduls summiert sich zu 180.0 Stunden . Damit umfasst das Modul 6 Leistungspunkte .\", \"Beschreibung der Lehr- und Lernformen\": \"In der Vorlesung findet die wesentliche Vermittlung der Inhalte statt. Ausgew\\u00e4hlte Themen der Vorlesung werden in w\\u00f6chentlichen \\u00dcbungen und ca. 6-8 \\u00dcbungsbl\\u00e4ttern vertieft. Die Programmieraufgaben sind als Hausaufgaben in Gruppen zu bearbeiten und vorzuf\\u00fchren.Die \\u00dcbungen werden als Kleingruppentutorien durchgef\\u00fchrt. Ca. 15 Teilnehmer vertiefen und \\u00fcben den in der Vorlesung vermittelten Stoff, besprechen die \\u00dcbungsaufgaben und diskutieren offene Fragen unter der Leitung eines Tutors. Alle 14 Tage findet ein Teil des Tutoriums als Rechner\\u00fcbung statt, die vor allem zur Abgabe der Programmieraufgaben dienen. Die praktischen \\u00dcbungsaufgaben sind in der Programmiersprache C zu bearbeiten.", "start_char_idx": 1916, "end_char_idx": 3188, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "995d905b-116c-4249-90b2-ef1e2372b2b9": {"__data__": {"id_": "995d905b-116c-4249-90b2-ef1e2372b2b9", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "f52d2243-a031-410a-a19b-e7304e604c8d", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "bab8f20fa5164f9e5420600ea933133dad0d2cd3a0d4bfcfacca286278d31832", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "91cad54c-2831-4352-9dcb-7ea405b6f56e", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "2c6cba58f284d176f8bcf9bff495e7523a3e34509ed3aa83b00850e65c9cfa2e", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "b54cf29d-23b4-4d0b-91fb-885065cf3cb4", "node_type": "1", "metadata": {}, "hash": "5de1f6894e0ba2bb350ed1db408e5d4548051b83554f9d801a6e0fdad77c2413", "class_name": "RelatedNodeInfo"}}, "text": "6-8 \\u00dcbungsbl\\u00e4ttern vertieft. Die Programmieraufgaben sind als Hausaufgaben in Gruppen zu bearbeiten und vorzuf\\u00fchren.Die \\u00dcbungen werden als Kleingruppentutorien durchgef\\u00fchrt. Ca. 15 Teilnehmer vertiefen und \\u00fcben den in der Vorlesung vermittelten Stoff, besprechen die \\u00dcbungsaufgaben und diskutieren offene Fragen unter der Leitung eines Tutors. Alle 14 Tage findet ein Teil des Tutoriums als Rechner\\u00fcbung statt, die vor allem zur Abgabe der Programmieraufgaben dienen. Die praktischen \\u00dcbungsaufgaben sind in der Programmiersprache C zu bearbeiten.\", \"Voraussetzungen f\\u00fcr die Teilnahme / Pr\\u00fcfung\": \"W\\u00fcnschenswerte Voraussetzungen f\\u00fcr die Teilnahme an den Lehrveranstaltungen : Kenntnisse aus dem Modul Rechnerorganisation Verpflichtende Voraussetzungen f\\u00fcr die Modulpr\\u00fcfungsanmeldung : Keine Angabe\", \"Dauer des Moduls\": \"F\\u00fcr Belegung und Abschluss des Moduls ist folgende Semesteranzahl veranschlagt: 1 Semester . Dieses Modul kann in folgenden Semestern begonnen werden: Wintersemester .\", \"Maximale teilnehmende Personen\": \"Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.\", \"Anmeldeformalit\\u00e4ten\": \"Die Einteilung der Tutorien erfolgt \\u00fcber MOSES in der ersten Vorlesungswoche. Die Pr\\u00fcfungsanmeldung erfolgt \\u00fcber QISPOS. Die An- und Abmeldefristen werden in der Vorlesung bekannt gegeben. Die Lehrmaterialien werden \\u00fcber ISIS bereitgestellt.", "start_char_idx": 2597, "end_char_idx": 4056, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "b54cf29d-23b4-4d0b-91fb-885065cf3cb4": {"__data__": {"id_": "b54cf29d-23b4-4d0b-91fb-885065cf3cb4", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "f52d2243-a031-410a-a19b-e7304e604c8d", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "bab8f20fa5164f9e5420600ea933133dad0d2cd3a0d4bfcfacca286278d31832", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "995d905b-116c-4249-90b2-ef1e2372b2b9", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40020.json", "file_name": "40020.json", "file_type": "application/json", "file_size": 4249, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "967de9c923cf762127676920b7b201a18c6b9fa2ea5c50566b59eab0b6bc6262", "class_name": "RelatedNodeInfo"}}, "text": "Dieses Modul kann in folgenden Semestern begonnen werden: Wintersemester .\", \"Maximale teilnehmende Personen\": \"Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.\", \"Anmeldeformalit\\u00e4ten\": \"Die Einteilung der Tutorien erfolgt \\u00fcber MOSES in der ersten Vorlesungswoche. 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Sie kennen Techniken zur Projektorganisation und haben \\u00dcberblickswissen zu Softwarequalit\\u00e4t und Anforderungsanalyse. Durch die Arbeit im Team haben sie eine hohe Sozialkompetenz.\", \"Lehrinhalte\": \"* Requirements Engineering \\u0095* Vorgehensmodelle \\u0095* Projektorganisation \\u0095* Objektorientierte Entwicklungsmethoden* Komponenten und Modularisierung* Verhaltensbeschreibungen* Qualit\\u00e4tssicherung (z.B. Testen)* Klassifikation von Softwaresystemen nach Architektur- und Anwendungszweck* Funktionale Programmierung\", \"Modulbestandteile\": \"No information available.\", \"Arbeitsaufwand und Leistungspunkte\": \"Softwaretechnik und Programmierparadigmen (VL): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Pr\\u00e4senzzeit 15.0 2.0h 30.0h Vor-/Nachbereitung 15.0 4.0h 60.0h Softwaretechnik und Programmierparadigmen (UE): Aufwandbeschreibung Multiplikator Stunden Gesamt 90.0h (~3 LP) Pr\\u00e4senzzeit 15.0 2.0h 30.0h Vor-/Nachbereitung 15.0 4.0h 60.0h Der Aufwand des Moduls summiert sich zu 180.0 Stunden . Damit umfasst das Modul 6 Leistungspunkte .\", \"Beschreibung der Lehr- und Lernformen\": \"Im Vorlesungsanteil der Veranstaltung Softwaretechnik werden die Konzepte anhand von (semi-) formalen Spezifikationssprachen vermittelt.", "start_char_idx": 1174, "end_char_idx": 2638, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "49b77ec3-1d94-421f-828b-64d8384e5561": {"__data__": {"id_": "49b77ec3-1d94-421f-828b-64d8384e5561", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40029.json", "file_name": "40029.json", "file_type": "application/json", "file_size": 3974, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "119e13b8-5013-4a9a-a37b-f80bfb351d18", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40029.json", "file_name": "40029.json", "file_type": "application/json", "file_size": 3974, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "f27e6f84e5556f8f617645a3bd0320d2a60bba08c667e2953ca0d14ebda0bd10", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "15e1b78c-0524-406f-a369-c2a80f8ba466", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40029.json", "file_name": "40029.json", "file_type": "application/json", "file_size": 3974, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "04dddafba9ea68c0690de3cb9ae6d9c1a6a2a0fc0fc81ba1c626e6fc71cb7d56", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "ea20413d-3e59-4f25-b3bb-5b60bb5fc19d", "node_type": "1", "metadata": {}, "hash": "5de1f6894e0ba2bb350ed1db408e5d4548051b83554f9d801a6e0fdad77c2413", "class_name": "RelatedNodeInfo"}}, "text": "Damit umfasst das Modul 6 Leistungspunkte .\", \"Beschreibung der Lehr- und Lernformen\": \"Im Vorlesungsanteil der Veranstaltung Softwaretechnik werden die Konzepte anhand von (semi-) formalen Spezifikationssprachen vermittelt. In den \\u00dcbungen werden in Kleingruppen konkrete Beispielanwendungen mit den eingef\\u00fchrten Spezifikationssprachen bearbeitet und in einer objektorientierten Programmiersprache prototypisch implementiert.\", \"Voraussetzungen f\\u00fcr die Teilnahme / Pr\\u00fcfung\": \"W\\u00fcnschenswerte Voraussetzungen f\\u00fcr die Teilnahme an den Lehrveranstaltungen : Kenntnisse aus den Modulen \\\"Einf\\u00fchrung in die Programmierung\\\" und \\\"Algorithmen und Datenstrukturen\\\" Verpflichtende Voraussetzungen f\\u00fcr die Modulpr\\u00fcfungsanmeldung : Keine Angabe\", \"Dauer des Moduls\": \"F\\u00fcr Belegung und Abschluss des Moduls ist folgende Semesteranzahl veranschlagt: 1 Semester . Dieses Modul kann in folgenden Semestern begonnen werden: Wintersemester .\", \"Maximale teilnehmende Personen\": \"Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.\", \"Anmeldeformalit\\u00e4ten\": \"Die Einteilung der Tutorien erfolgt \\u00fcber MOSES in der ersten Vorlesungswoche. Die Pr\\u00fcfungsanmeldung erfolgt \\u00fcber QISPOS. Die An- und Abmeldefristen werden in der Vorlesung bekannt gegeben. Die Lehrmaterialien werden \\u00fcber ISIS bereitgestellt.\", \"Literaturhinweise, Skripte\": \"No information available.\", \"Zugeordnete Studieng\\u00e4nge\": \"No information available.", "start_char_idx": 2414, "end_char_idx": 3902, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "ea20413d-3e59-4f25-b3bb-5b60bb5fc19d": {"__data__": {"id_": "ea20413d-3e59-4f25-b3bb-5b60bb5fc19d", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40029.json", "file_name": "40029.json", "file_type": "application/json", "file_size": 3974, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "119e13b8-5013-4a9a-a37b-f80bfb351d18", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40029.json", "file_name": "40029.json", "file_type": "application/json", "file_size": 3974, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "f27e6f84e5556f8f617645a3bd0320d2a60bba08c667e2953ca0d14ebda0bd10", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "49b77ec3-1d94-421f-828b-64d8384e5561", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40029.json", "file_name": "40029.json", "file_type": "application/json", "file_size": 3974, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "100cfb24eee2bb85699917eb4a5e80268140e192315949f1e39dffc9334cfbb3", "class_name": "RelatedNodeInfo"}}, "text": "Dieses Modul kann in folgenden Semestern begonnen werden: Wintersemester .\", \"Maximale teilnehmende Personen\": \"Dieses Modul ist nicht auf eine Anzahl Studierender begrenzt.\", \"Anmeldeformalit\\u00e4ten\": \"Die Einteilung der Tutorien erfolgt \\u00fcber MOSES in der ersten Vorlesungswoche. 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Damit umfasst das Modul 6 Leistungspunkte .\", \"Beschreibung der Lehr- und Lernformen\": \"Der Stoff wird in einer Vorlesung vermittelt. In den begleitenden w\\u00f6chentlichen \\u00dcbungen (Tutorien) wird der Stoff durch Bearbeitung von \\u00dcbungsbl\\u00e4ttern und praktische Arbeit am Rechner vertieft.", "start_char_idx": 1054, "end_char_idx": 2255, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "e0147ec8-0dc0-4fd8-bd7b-bfb84b2ad308": {"__data__": {"id_": "e0147ec8-0dc0-4fd8-bd7b-bfb84b2ad308", "embedding": null, "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40038.json", "file_name": "40038.json", "file_type": "application/json", "file_size": 3257, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "a921e3c4-4965-44c7-b7c6-fbef243339a8", "node_type": "4", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40038.json", "file_name": "40038.json", "file_type": "application/json", "file_size": 3257, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "4426366c2c33818a5e2d2efe53701b6f5fee88db0db56f40415184ad3252d500", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "18e4c3f3-6a88-4f51-aa16-85758f46453d", "node_type": "1", "metadata": {"file_path": "c:\\Users\\phili\\OneDrive\\Dokumente\\Uni\\Programmierpraktikum\\Test\\data3\\40038.json", "file_name": "40038.json", "file_type": "application/json", "file_size": 3257, "creation_date": "2024-05-12", "last_modified_date": "2024-04-28"}, "hash": "e4d58e5a4dd72fbabd2b009d1236623b7cc07a0974d4ef6885ab8d1442b688e9", "class_name": "RelatedNodeInfo"}}, "text": "Damit umfasst das Modul 6 Leistungspunkte .\", \"Beschreibung der Lehr- und Lernformen\": \"Der Stoff wird in einer Vorlesung vermittelt. In den begleitenden w\\u00f6chentlichen \\u00dcbungen (Tutorien) wird der Stoff durch Bearbeitung von \\u00dcbungsbl\\u00e4ttern und praktische Arbeit am Rechner vertieft.\", \"Voraussetzungen f\\u00fcr die Teilnahme / Pr\\u00fcfung\": \"W\\u00fcnschenswerte Voraussetzungen f\\u00fcr die Teilnahme an den Lehrveranstaltungen : Kenntnisse in \\\"Lineare Algebra f\\u00fcr Ingenieurwissenschaften\\\" und \\\"Analysis I f\\u00fcr Ingenieurwissenschaften\\\" Verpflichtende Voraussetzungen f\\u00fcr die Modulpr\\u00fcfungsanmeldung : 1. Voraussetzung Unbenoteter \\u00dcbungsschein\", \"Dauer des Moduls\": \"F\\u00fcr Belegung und Abschluss des Moduls ist folgende Semesteranzahl veranschlagt: 1 Semester . 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Sie besitzen ein Grundverst\\u00e4ndnis der Berechenbarkeit von Entscheidungsproblemen und grundlegender Komplexit\\u00e4tsklassen. Sie sind bef\\u00e4higt, die Komplexit\\u00e4t ausgew\\u00e4hlter Problembeispiele zu beurteilen. 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0.18629588186740875, 0.459224134683609, 0.5694761872291565, -0.295749306678772, -0.7359615564346313, 0.82964026927948, 0.44257333874702454, -0.5096089243888855, -0.403661847114563, 0.5682445764541626, -0.16635239124298096, 0.22188498079776764, -0.0062342011369764805, 0.5556939244270325, 0.4083603620529175, 0.678097128868103, 1.697791337966919, 0.8865678906440735, 0.3445259928703308, -0.8061531782150269, -0.11326185613870621, -0.1595117449760437, -0.5790414214134216, -1.334833025932312, -0.48133739829063416, 0.48656290769577026]}}"}}} \ No newline at end of file From 72a778441a95d116539333ed06d25e3800907152 Mon Sep 17 00:00:00 2001 From: Emil Daniel Badura Date: Tue, 2 Jul 2024 17:17:08 +0200 Subject: [PATCH 23/59] move functions from main.py to the llama3 class --- .gitignore | 1 + .../actions/database_handling.py | 45 +++++ server/function_calling/actions/spotify.py | 191 ++++++++++++++---- server/function_calling/llama3.py | 36 ++++ server/function_calling/main.py | 35 +--- server/service.py | 3 +- 6 files changed, 241 insertions(+), 70 deletions(-) create mode 100644 server/function_calling/actions/database_handling.py diff --git a/.gitignore b/.gitignore index 2c5d82f..e8713cd 100644 --- a/.gitignore +++ b/.gitignore @@ -14,6 +14,7 @@ Llama-3-8B-function-calling* /myenv/ .DS_Store +*.db *storage /tutor_ai/llama3/llama3testing /tutor_ai/llama3/config.json diff --git a/server/function_calling/actions/database_handling.py b/server/function_calling/actions/database_handling.py new file mode 100644 index 0000000..e9a06f0 --- /dev/null +++ b/server/function_calling/actions/database_handling.py @@ -0,0 +1,45 @@ +import sqlite3 +''' +# Connect to the SQLite database +conn = sqlite3.connect('key_value_store.db') +c = conn.cursor() + +# Create table +c.execute(''CREATE TABLE IF NOT EXISTS store + (key TEXT PRIMARY KEY, value TEXT)) +''' +# Function to write to the store +def write_to_store(key, value, conn, c): + with conn: + c.execute("REPLACE INTO store (key, value) VALUES (?, ?)", (key, value)) + +# Function to read from the store +def read_from_store(key, c): + c.execute("SELECT value FROM store WHERE key=?", (key,)) + result = c.fetchone() + return result[0] if result else None + + +# Function to delete from the store +def delete_from_store(key, conn, c): + with conn: + c.execute("DELETE FROM store WHERE key=?", (key,)) + +''' +# Write to the store +write_to_store('key1', 'value1') + +# Read from the store +print(read_from_store('key1')) # Output: value1 + +# Update the store +write_to_store('key1', 'updated_value1') +#print(read_from_store('key1')) # Output: updated_value1 + +# Delete from the store +delete_from_store('key1') +#print(read_from_store('key1')) # Output: None + +# Close the connection +conn.close() +''' \ No newline at end of file diff --git a/server/function_calling/actions/spotify.py b/server/function_calling/actions/spotify.py index da1dbd7..539aeeb 100644 --- a/server/function_calling/actions/spotify.py +++ b/server/function_calling/actions/spotify.py @@ -1,5 +1,6 @@ import datetime import urllib +import sqlite3 from urllib import parse import base64 import json @@ -7,8 +8,8 @@ from requests import post, get from flask import Flask, redirect, request, session, jsonify import webbrowser -from threading import Timer - +from threading import Timer, Event +from actions.database_handling import write_to_store, read_from_store, delete_from_store client_id = "0fa32183ad404b22bf2587006b50421f" client_secret = "53520c39acb44b16962a58df6bd94e8e" @@ -21,11 +22,22 @@ 'expires_at': '' } -acc = "BQDFW5fU82lXPAON7yzRjo0bHnIka3d2WYPKI9uxdyOEkQjPUrLU9vYKykfw2UMEJrwuBznkGBH4yiHSshQp5y8u09f8FO3399Gsbd4LxjjMRGpzOj4rMDddAiVu9oOhyudB6IpFk9BUM9QLXpF24Qf_BLgEyYiySaeoC5JJRKVXrzecYqTUwtg3D7Xv52rgEsOqJ9xJWGEWmICAKfnp5ccokWSjKmEqyKIKnQalW9WOVZn4hh0dK2nkhr1cPaEztXMHpeCy4QGq4zFDlJ34uDP3CRf9aAXh08LlokZKWg8y" +acc = "BQADF-7Khe4mdlCjBh5CVd0CY46S-iCzcHya7jA9LZVJyQRCrAfxTAwDE9MBiphh1rRcOc7AvvUDIKqGxG4ABppJZIjKtP52p6VP_PIaBb-74emdB8kJcbH7Qu8NnDsP3h5o1d-zHIPqxgpSovyRaRDLvw56fSxT3JGnOAdGsN16ZWB8ybdym5geb2dgEbpxQ7jghOVsbarT6UIwjT2KmH5spKnnBdyvQgiaty-HYC-3t_Rg9PpzuFlhZOL3yqlcIEhgHhVIkdTSpo8FbxhXwtGBNKYoLRYQ58yCBFsKbcuG" app = Flask(__name__) app.secret_key = 'asljfghsaldaslkas' app.config['SESSION_COOKIE_NAME'] = 'Spotify Cookie' -TOKEN_INFO = 'token_info' + +conn = sqlite3.connect('key_value_store.db') +c = conn.cursor() + +# Create table +c.execute('''CREATE TABLE IF NOT EXISTS store + (key TEXT PRIMARY KEY, value TEXT)''') + +# Global variable to store token information +token_info = None +token_received_event = Event() + def get_token(): @@ -48,11 +60,21 @@ def open_browser(): webbrowser.open_new("http://127.0.0.1:5000") - def open_login_flask_app(): Timer(1, open_browser).start() - app.run() #REMOVE DEBUG MODE WHEN DONE + # Run Flask app in a separate thread + import threading + flask_thread = threading.Thread(target=app.run, kwargs={'debug': True, 'use_reloader': False}) + flask_thread.start() + + # Wait until the token is received + token_received_event.wait() + + # Stop the Flask server (optional, if needed) + # request.environ.get('werkzeug.server.shutdown')() + + return token_info @app.route('/') @@ -75,7 +97,7 @@ def auth_user(): 'playlist-modify-private ' 'user-read-playback-state ', 'redirect_uri': redirect_uri, - 'show_dialog': True # SET TO FALSE WHEN DONE + 'show_dialog': True # SET TO FALSE WHEN DONE } query_string = urllib.parse.urlencode(query_params) auth_url = f'https://accounts.spotify.com/authorize?{query_string}' @@ -84,6 +106,7 @@ def auth_user(): @app.route('/callback') def callback(): + global token_info if 'error' in request.args: return jsonify({"error": request.args['error']}) if 'code' in request.args: @@ -107,9 +130,8 @@ def callback(): session['refresh_token'] = token_info['refresh_token'] session['expires_at'] = datetime.datetime.now().timestamp() + token_info['expires_in'] - current_session['access_token'] = token_info['access_token'] - current_session['refresh_token'] = token_info['refresh_token'] - current_session['expires_at'] = datetime.datetime.now().timestamp() + token_info['expires_in'] + # Signal that the token has been received + token_received_event.set() return redirect('/finalwindow') return 'No code provided', 400 @@ -142,11 +164,7 @@ def refresh_token(): def final_window(): if 'access_token' not in session: return redirect('/login') - - if datetime.datetime.now().timestamp() > session['expires_at']: - return redirect('/refresh-token') - - return "Thank you for logging in, you may close this window now!\n DEBUG ACCESS_TOKEN: " + session['access_token'] + return "Thank you for logging in, you may close this window now!" # END OF FLASK APP, FUNCS START HERE @@ -156,7 +174,7 @@ def search_for_artist(token, artist_name): url = "https://api.spotify.com/v1/search" headers = {"Authorization": "Bearer " + token} query = f"?q={artist_name}&type=artist&limit=1" - query_url = url+query + query_url = url + query result = requests.get(query_url, headers=headers) json_result = result.json() ide = json_result['artists']['items'][0]['id'] @@ -178,11 +196,17 @@ def play_artist(access_token, artist): response = requests.put(API_BASE_URL + 'me/player/play', headers=headers, json=req_body) return response +def user_play_artist(user, artist): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return play_song(token_inf['access_token'], artist) + def search_for_album(token, album_name): url = "https://api.spotify.com/v1/search" headers = {"Authorization": "Bearer " + token} query = f"?q={album_name}&type=album&limit=1" - query_url = url+query + query_url = url + query result = requests.get(query_url, headers=headers) json_result = result.json() ide = json_result['albums']['items'][0]['id'] @@ -203,6 +227,13 @@ def play_album(access_token, album): } response = requests.put(API_BASE_URL + 'me/player/play', headers=headers, json=req_body) return response + +def user_play_album(user, album): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(user, token_inf) + return play_album(token_inf['access_token'], album) + """ def get_similar_artist(token, artist_name): json_result = search_for_artist(token, artist_name) @@ -216,8 +247,8 @@ def get_similar_artist(token, artist_name): def get_playback_state(access_token): headers = { - 'Authorization': f"Bearer {access_token}" - } + 'Authorization': f"Bearer {access_token}" + } response = requests.get(API_BASE_URL + 'me/player', headers=headers) return response.json() @@ -247,6 +278,11 @@ def next(access_token): response = requests.post(API_BASE_URL + 'me/player/next', headers=headers) return response +def user_next(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return next(token_inf['access_token']) def prev(access_token): headers = { @@ -255,6 +291,11 @@ def prev(access_token): response = requests.post(API_BASE_URL + 'me/player/previous', headers=headers) return response +def user_prev(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return prev(token_inf['access_token']) def pause(access_token): headers = { @@ -263,6 +304,11 @@ def pause(access_token): response = requests.put(API_BASE_URL + 'me/player/pause', headers=headers) return response +def user_pause(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return pause(token_inf['access_token']) def play(access_token): headers = { @@ -271,12 +317,17 @@ def play(access_token): response = requests.put(API_BASE_URL + 'me/player/play', headers=headers) return response +def user_play(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return play(token_inf['access_token']) def search_for_song(token, song_name): url = "https://api.spotify.com/v1/search" headers = {"Authorization": "Bearer " + token} query = f"?q={song_name}&type=track&limit=1" - query_url = url+query + query_url = url + query result = requests.get(query_url, headers=headers) json_result = result.json() ide = json_result['tracks']['items'][0]['id'] @@ -299,12 +350,17 @@ def play_song(access_token, song): response = requests.put(API_BASE_URL + 'me/player/play', headers=headers, json=req_body) return response +def user_play_song(user, song): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(user, token_inf) + return play_song(token_inf['access_token'], song) def increase_volume(access_token): currentstate = get_playback_state(access_token) vol = currentstate['device']['volume_percent'] print(vol) - vol = vol+15 + vol = vol + 15 if vol > 100: vol = 100 headers = {'Authorization': f"Bearer {access_token}"} @@ -312,26 +368,43 @@ def increase_volume(access_token): response = requests.put(url, headers=headers) return response +def user_increase_volume(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return increase_volume(token_inf['access_token']) def decrease_volume(access_token): currentstate = get_playback_state(access_token) vol = currentstate['device']['volume_percent'] if vol > 20: - vol = vol-15 + vol = vol - 15 else: - vol = vol/2 + vol = vol / 2 headers = {'Authorization': f"Bearer {access_token}"} url = API_BASE_URL + f"me/player/volume?volume_percent={vol}" response = requests.put(url, headers=headers) return response +def user_decrease_volume(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return decrease_volume(token_inf['access_token']) + -def set_volume_to(access_token, vol): # Takes user access token and desired volume in percent (0-100 including) +def set_volume_to(access_token, vol): # Takes user access token and desired volume in percent (0-100 including) headers = {'Authorization': f"Bearer {access_token}"} url = API_BASE_URL + f"me/player/volume?volume_percent={vol}" response = requests.put(url, headers=headers) return response +def user_set_volume_to(user, vol): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return set_volume_to(token_inf['access_token'], vol) + def add_to_queue(access_token, song): token = get_token() @@ -345,24 +418,74 @@ def add_to_queue(access_token, song): response = requests.post(url, headers=headers) return response +def user_add_to_queue(user, song): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return add_to_queue(token_inf['access_token'], song) def turn_on_shuffle(access_token): headers = {'Authorization': f"Bearer {access_token}"} - response = requests.put(API_BASE_URL+'me/player/shuffle?state=true', headers=headers) + response = requests.put(API_BASE_URL + 'me/player/shuffle?state=true', headers=headers) return response +def user_turn_on_shuffle(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return turn_on_shuffle(token_inf['access_token']) def turn_off_shuffle(access_token): headers = {'Authorization': f"Bearer {access_token}"} - response = requests.put(API_BASE_URL+'me/player/shuffle?state=false', headers=headers) + response = requests.put(API_BASE_URL + 'me/player/shuffle?state=false', headers=headers) return response +def user_turn_off_shuffle(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return turn_off_shuffle(token_inf['access_token']) + +def is_token_expired(token_inf): + return 'error' in get_available_devices(token_inf['access_token']) + -#print(search_for_artist(get_token(), "joy division")) -#print(play_artist(acc, "joy divison").content) -#print(play_album(acc, "").content) -#print(play_song(acc, "disorder").content) -#set_volume_to(acc, 100) -#print(turn_off_shuffle(acc).content) -#open_login_flask_app() -#print(get_playlists(acc)) \ No newline at end of file +def standard_refresh(user, token_inf): + req_body = { + 'grant_type': 'refresh_token', + 'refresh_token': token_inf['refresh_token'], + 'client_id': client_id, + 'client_secret': client_secret + } + response = requests.post(TOKEN_URL, data=req_body) + write_to_store(user, json.dumps(response.json()), conn, c) + return response.json() + +def get_token_inf(user): + if read_from_store(user,c) is not None: + toke_dump = read_from_store(user, c) + return json.loads(toke_dump) + else: + toke_inf = open_login_flask_app() + write_to_store(user, json.dumps(toke_inf), conn, c) + return toke_inf + + + +user_play_album("Emil", "selected ambient works 85-92") +# open_login_flask_app() +# print(play_song(acc, "under pressure").content) +# print(play_artist(acc, "michael jackson").content) +# print(play_album(acc, "selected ambient works 85-92").content) +# print(increase_volume(acc).content) +# print(decrease_volume(acc).content) +# print(set_volume_to(acc, 70).content) +# print(turn_off_shuffle(acc).content) +# print(turn_on_shuffle(acc).content) +# print(next(acc).content) +# print(prev(acc).content) +# print(pause(acc).content) +# print(play(acc).content) +# print(add_to_queue(acc, "under pressure")) +# print(open_login_flask_app()) +#print(open_login_flask_app()) \ No newline at end of file diff --git a/server/function_calling/llama3.py b/server/function_calling/llama3.py index 76734b1..92648f3 100644 --- a/server/function_calling/llama3.py +++ b/server/function_calling/llama3.py @@ -1,10 +1,18 @@ import torch import os +import json from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig, Pipeline from transformers import pipeline from download_drive import download_google_drive_folder from trl import setup_chat_format +from actions.wolfram import ask_wolfram_question +from actions.wikipedia import getWikiPageInfo +from actions.spotify import play,set_volume_to,pause,next,prev,turn_on_shuffle,turn_off_shuffle,decrease_volume,increase_volume,play_song,play_album,play_artist,add_to_queue +from tutor_ai.backend.ChatEngine import ask_TutorAI_question + +DEBUG_MODE = 1 + class LLama3: path_to_model: str path_to_tokenizer: str @@ -74,6 +82,34 @@ def generate(self, input: str) -> str: response = outputs[0]['generated_text'][len(prompt):].strip() self.append_to_chat("assistant", response) return response + + def process_function_call(self, fc: str) -> str: + if DEBUG_MODE: + print(fc) + fc = fc[len(" "):] + fc = fc.replace("'", "") + try: + data = json.loads(fc) + except: + result = 'FUNCTION RESPONSE: Invalid input format, try again' + if DEBUG_MODE: + print(result) + return self.generate(result) + name = data["name"] + arguments = data["arguments"] + result = globals()[name](**arguments) + result = {"result": result} + result = 'FUNCTION RESPONSE: ' + str(result) + if DEBUG_MODE: + print(result) + return self.generate(result) + + def process_input(self, transcription: str): + output = self.generate(transcription) + if output.startswith(" "): + output = self.process_function_call(output) + return output + diff --git a/server/function_calling/main.py b/server/function_calling/main.py index 5d0f375..75fc22c 100644 --- a/server/function_calling/main.py +++ b/server/function_calling/main.py @@ -2,43 +2,10 @@ import os # get the functions/classes from group b,c from llama3 import LLama3 -from actions.wolfram import ask_wolfram_question -from actions.wikipedia import getWikiPageInfo -from actions.spotify import play,set_volume_to,pause,next,prev,turn_on_shuffle,turn_off_shuffle,decrease_volume,increase_volume,play_song,play_album,play_artist,add_to_queue -from tutor_ai.backend.ChatEngine import ask_TutorAI_question - -DEBUG_MODE = 1 - -def process_function_call(model : LLama3, fc: str) -> str: - if DEBUG_MODE: - print(fc) - fc = fc[len(" "):] - fc = fc.replace("'", "") - try: - data = json.loads(fc) - except: - result = 'FUNCTION RESPONSE: Invalid input format, try again' - if DEBUG_MODE: - print(result) - return model.generate(result) - name = data["name"] - arguments = data["arguments"] - result = globals()[name](**arguments) - result = {"result": result} - result = 'FUNCTION RESPONSE: ' + str(result) - if DEBUG_MODE: - print(result) - return model.generate(result) - -def process_input(model: LLama3, transcription: str): - output = model.generate(transcription) - if output.startswith(" "): - output = process_function_call(model, output) - return output if __name__ == "__main__": llamaModel = LLama3("Llama-3-8B-function-calling", "https://drive.google.com/drive/folders/1CJtn-3nCfQT3FU3pOgA3zTIdPLQ9n3x6?usp=sharing", "https://drive.google.com/drive/folders/1RmhIu2FXqwu4TxIQ9GpDtYb_IXWoVd7z?usp=sharing") while True: user_input = input("User: ") - output = process_input(llamaModel, user_input) + output = llamaModel.process_input(user_input) print("Assistant: " + output) \ No newline at end of file diff --git a/server/service.py b/server/service.py index f967079..241739f 100644 --- a/server/service.py +++ b/server/service.py @@ -8,7 +8,6 @@ from pydantic import BaseModel from starlette.middleware.cors import CORSMiddleware from starlette.responses import RedirectResponse, FileResponse -from function_calling.main import process_input from function_calling.llama3 import LLama3 # define model size (tiny, base, medium, large) @@ -72,7 +71,7 @@ async def whisper(file: UploadFile): remove(temp_filename) print(f"Transcription result: {transcription_result['text']}") - answer = process_input(llamaModel, transcription_result['text']) + answer = llamaModel.process_input(transcription_result['text']) file_path = path.join(path.dirname(path.abspath(__file__)), "transcription.txt") with open(file_path, "w", encoding="utf-8") as txt: From 489f8b476f8a6d64c4bde880e266b06b98cbb782 Mon Sep 17 00:00:00 2001 From: Emil Daniel Badura Date: Tue, 2 Jul 2024 20:07:24 +0200 Subject: [PATCH 24/59] add german language support --- server/function_calling/actions/spotify.py | 2 +- server/function_calling/llama3.py | 12 +++++++++++- 2 files changed, 12 insertions(+), 2 deletions(-) diff --git a/server/function_calling/actions/spotify.py b/server/function_calling/actions/spotify.py index 539aeeb..6d0eacb 100644 --- a/server/function_calling/actions/spotify.py +++ b/server/function_calling/actions/spotify.py @@ -472,7 +472,7 @@ def get_token_inf(user): -user_play_album("Emil", "selected ambient works 85-92") +#user_play_album("Emil", "selected ambient works 85-92") # open_login_flask_app() # print(play_song(acc, "under pressure").content) # print(play_artist(acc, "michael jackson").content) diff --git a/server/function_calling/llama3.py b/server/function_calling/llama3.py index 92648f3..7cf092a 100644 --- a/server/function_calling/llama3.py +++ b/server/function_calling/llama3.py @@ -5,6 +5,8 @@ from transformers import pipeline from download_drive import download_google_drive_folder from trl import setup_chat_format +from deep_translator import GoogleTranslator +from lingua import Language, LanguageDetectorBuilder from actions.wolfram import ask_wolfram_question from actions.wikipedia import getWikiPageInfo @@ -23,11 +25,13 @@ class LLama3: pipeline: Pipeline chat: list[dict[str, str]] = [] chat_length: int = 0 + lang_detector: LanguageDetectorBuilder def __init__(self, destination_path: str, model_link: str | None = None, tokenizer_link: str | None = None) -> None: self.path_to_dir = os.path.dirname(__file__) self.path_to_model = os.path.join(self.path_to_dir, destination_path + "-model") self.path_to_tokenizer = os.path.join(self.path_to_dir, destination_path + "-tokenizer") + self.lang_detector = LanguageDetectorBuilder.from_languages(Language.GERMAN, Language.ENGLISH).build() if model_link is not None and not (os.path.exists(self.path_to_model) and os.path.isdir(self.path_to_model)): download_google_drive_folder(model_link, self.path_to_model) @@ -70,7 +74,7 @@ def prepare(self): ) self.model, self.tokenizer = setup_chat_format(model, tokenizer) self.pipeline = pipeline("text-generation", model=self.model, tokenizer=self.tokenizer) - + def generate(self, input: str) -> str: self.append_to_chat("user", input) prompt = self.pipeline.tokenizer.apply_chat_template(self.chat, tokenize=False, add_generation_prompt=True) @@ -105,9 +109,15 @@ def process_function_call(self, fc: str) -> str: return self.generate(result) def process_input(self, transcription: str): + lang = self.lang_detector.detect_language_of(transcription).iso_code_639_1.name + lang = lang.lower() + if lang != 'en': + transcription = GoogleTranslator("auto", "en").translate(transcription) output = self.generate(transcription) if output.startswith(" "): output = self.process_function_call(output) + if lang != 'en': + output = GoogleTranslator("en", lang).translate(output) return output From 5ce238db0c50bce6f4644d0d3bcee995e3e2903d Mon Sep 17 00:00:00 2001 From: Emil Daniel Badura Date: Tue, 2 Jul 2024 20:08:15 +0200 Subject: [PATCH 25/59] modify requirements --- server/requirementsServer.txt | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/server/requirementsServer.txt b/server/requirementsServer.txt index 72124fa..14e3150 100644 --- a/server/requirementsServer.txt +++ b/server/requirementsServer.txt @@ -7,8 +7,13 @@ uvicorn openai-whisper fastapi wikipedia-api -elevenlabs flask beautifulsoup4 python-multipart -pvrecorder \ No newline at end of file +pvrecorder +deep_translator +lingua-language-detector + +llama-index-llms-ollama +llama-index-embeddings-ollama +llama-index-readers-file \ No newline at end of file From 2fb1c98bedf8a9175e368047c9d75f129af85258 Mon Sep 17 00:00:00 2001 From: Oliver Woischnik Date: Tue, 2 Jul 2024 18:23:41 +0000 Subject: [PATCH 26/59] llama implemented as endpoint using fastapi_llama3 using modified spotify_utils, other microservices available through microservices.py --- server/function_calling/.gitignore | 1 + .../function_calling/actions/spotify_utils.py | 368 ++++++++++++++++++ server/function_calling/fastapi_llama3.py | 20 + server/function_calling/llama3.py | 2 +- server/microservices.py | 83 ++++ 5 files changed, 473 insertions(+), 1 deletion(-) create mode 100644 server/function_calling/.gitignore create mode 100644 server/function_calling/actions/spotify_utils.py create mode 100644 server/function_calling/fastapi_llama3.py create mode 100644 server/microservices.py diff --git a/server/function_calling/.gitignore b/server/function_calling/.gitignore new file mode 100644 index 0000000..f7275bb --- /dev/null +++ b/server/function_calling/.gitignore @@ -0,0 +1 @@ +venv/ diff --git a/server/function_calling/actions/spotify_utils.py b/server/function_calling/actions/spotify_utils.py new file mode 100644 index 0000000..74cd4cf --- /dev/null +++ b/server/function_calling/actions/spotify_utils.py @@ -0,0 +1,368 @@ +import datetime +import urllib +import sqlite3 +from urllib import parse +import base64 +import json +import requests +from requests import post, get +from flask import Flask, redirect, request, session, jsonify +import webbrowser +from threading import Timer, Event +from actions.database_handling import write_to_store, read_from_store, delete_from_store + +client_id = "0fa32183ad404b22bf2587006b50421f" +client_secret = "53520c39acb44b16962a58df6bd94e8e" +redirect_uri = "http://127.0.0.1:5000/callback" +TOKEN_URL = 'https://accounts.spotify.com/api/token' +API_BASE_URL = 'https://api.spotify.com/v1/' +current_session = { + 'access_token': '', + 'refresh_token': '', + 'expires_at': '' +} + +def get_token(): + auth_string = client_id + ":" + client_secret + auth_bytes = auth_string.encode("utf-8") + auth_64 = str(base64.b64encode(auth_bytes), "utf-8") + url = "https://accounts.spotify.com/api/token" + headers = { + "Authorization": "Basic " + auth_64, + "Content-Type": "application/x-www-form-urlencoded" + } + data = {"grant_type": "client_credentials"} + result = post(url, headers=headers, data=data) + json_result = json.loads(result.content) + token = json_result["access_token"] + return token + + +def open_browser(): + webbrowser.open_new("http://127.0.0.1:5000") + + +def open_login_flask_app(): + Timer(1, open_browser).start() + + # Run Flask app in a separate thread + import threading + flask_thread = threading.Thread(target=app.run, kwargs={'debug': True, 'use_reloader': False}) + flask_thread.start() + + # Wait until the token is received + token_received_event.wait() + + # Stop the Flask server (optional, if needed) + # request.environ.get('werkzeug.server.shutdown')() + + return token_info + + +# END OF FLASK APP, FUNCS START HERE + + +def search_for_artist(token, artist_name): + url = "https://api.spotify.com/v1/search" + headers = {"Authorization": "Bearer " + token} + query = f"?q={artist_name}&type=artist&limit=1" + query_url = url + query + result = requests.get(query_url, headers=headers) + json_result = result.json() + ide = json_result['artists']['items'][0]['id'] + return ide + + +def play_artist(access_token, artist): + token = get_token() + idee = search_for_artist(token, artist) + context_uri = "spotify:artist:" + idee + headers = { + 'Authorization': f"Bearer {access_token}", + 'Accept': "application/json", + 'Content-Type': "application/json" + } + req_body = { + 'context_uri': context_uri + } + response = requests.put(API_BASE_URL + 'me/player/play', headers=headers, json=req_body) + return response + +def user_play_artist(user, artist): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return play_song(token_inf['access_token'], artist) + +def search_for_album(token, album_name): + url = "https://api.spotify.com/v1/search" + headers = {"Authorization": "Bearer " + token} + query = f"?q={album_name}&type=album&limit=1" + query_url = url + query + result = requests.get(query_url, headers=headers) + json_result = result.json() + ide = json_result['albums']['items'][0]['id'] + return ide + + +def play_album(access_token, album): + token = get_token() + idee = search_for_album(token, album) + context_uri = "spotify:album:" + idee + headers = { + 'Authorization': f"Bearer {access_token}", + 'Accept': "application/json", + 'Content-Type': "application/json" + } + req_body = { + 'context_uri': context_uri + } + response = requests.put(API_BASE_URL + 'me/player/play', headers=headers, json=req_body) + return response + +""" +def get_similar_artist(token, artist_name): + json_result = search_for_artist(token, artist_name) + print(json_result) + similar_url = json_result['next'] + result = get(similar_url, headers=(token)) + similars = json.loads(result.content) + print(similars) +""" + + +def get_playback_state(access_token): + headers = { + 'Authorization': f"Bearer {access_token}" + } + response = requests.get(API_BASE_URL + 'me/player', headers=headers) + return response.json() + + +def get_playlists(access_token): + headers = { + 'Authorization': f"Bearer {access_token}" + } + + response = requests.get(API_BASE_URL + 'me/playlists', headers=headers) + + return response.json() + + +def get_available_devices(access_token): + headers = { + 'Authorization': f"Bearer {access_token}" + } + response = requests.get(API_BASE_URL + 'me/player/devices', headers=headers) + return response.json() + + +def next(access_token): + headers = { + 'Authorization': f"Bearer {access_token}" + } + response = requests.post(API_BASE_URL + 'me/player/next', headers=headers) + return response + +def user_next(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return next(token_inf['access_token']) + +def prev(access_token): + headers = { + 'Authorization': f"Bearer {access_token}" + } + response = requests.post(API_BASE_URL + 'me/player/previous', headers=headers) + return response + +def user_prev(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return prev(token_inf['access_token']) + +def pause(access_token): + headers = { + 'Authorization': f"Bearer {access_token}" + } + response = requests.put(API_BASE_URL + 'me/player/pause', headers=headers) + return response + +def user_pause(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return pause(token_inf['access_token']) + +def play(access_token): + headers = { + 'Authorization': f"Bearer {access_token}" + } + response = requests.put(API_BASE_URL + 'me/player/play', headers=headers) + return response + +def user_play(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return play(token_inf['access_token']) + +def search_for_song(token, song_name): + url = "https://api.spotify.com/v1/search" + headers = {"Authorization": "Bearer " + token} + query = f"?q={song_name}&type=track&limit=1" + query_url = url + query + result = requests.get(query_url, headers=headers) + json_result = result.json() + ide = json_result['tracks']['items'][0]['id'] + return ide + + +def play_song(access_token, song): + token = get_token() + idee = search_for_song(token, song) + print(idee) + context_uri = "spotify:track:" + idee + headers = { + 'Authorization': f"Bearer {access_token}", + 'Accept': "application/json", + 'Content-Type': "application/json" + } + req_body = { + 'uris': [context_uri] + } + response = requests.put(API_BASE_URL + 'me/player/play', headers=headers, json=req_body) + return response + +def user_play_song(user, song): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(user, token_inf) + return play_song(token_inf['access_token'], song) + +def increase_volume(access_token): + currentstate = get_playback_state(access_token) + vol = currentstate['device']['volume_percent'] + print(vol) + vol = vol + 15 + if vol > 100: + vol = 100 + headers = {'Authorization': f"Bearer {access_token}"} + url = API_BASE_URL + f"me/player/volume?volume_percent={vol}" + response = requests.put(url, headers=headers) + return response + +def user_increase_volume(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return increase_volume(token_inf['access_token']) + +def decrease_volume(access_token): + currentstate = get_playback_state(access_token) + vol = currentstate['device']['volume_percent'] + if vol > 20: + vol = vol - 15 + else: + vol = vol / 2 + headers = {'Authorization': f"Bearer {access_token}"} + url = API_BASE_URL + f"me/player/volume?volume_percent={vol}" + response = requests.put(url, headers=headers) + return response + +def user_decrease_volume(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return decrease_volume(token_inf['access_token']) + + +def set_volume_to(access_token, vol): # Takes user access token and desired volume in percent (0-100 including) + headers = {'Authorization': f"Bearer {access_token}"} + url = API_BASE_URL + f"me/player/volume?volume_percent={vol}" + response = requests.put(url, headers=headers) + return response + +def user_set_volume_to(user, vol): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return set_volume_to(token_inf['access_token'], vol) + + +def add_to_queue(access_token, song): + token = get_token() + idee = search_for_song(token, song) + context_uri = "spotify:track:" + idee + headers = { + 'Authorization': f"Bearer {access_token}", + 'Content-Type': "application/json" + } + url = API_BASE_URL + f'me/player/queue?uri={context_uri}' + response = requests.post(url, headers=headers) + return response + +def user_add_to_queue(user, song): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return add_to_queue(token_inf['access_token'], song) + +def turn_on_shuffle(access_token): + headers = {'Authorization': f"Bearer {access_token}"} + response = requests.put(API_BASE_URL + 'me/player/shuffle?state=true', headers=headers) + return response + +def user_turn_on_shuffle(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return turn_on_shuffle(token_inf['access_token']) + +def turn_off_shuffle(access_token): + headers = {'Authorization': f"Bearer {access_token}"} + response = requests.put(API_BASE_URL + 'me/player/shuffle?state=false', headers=headers) + return response + +def user_turn_off_shuffle(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return turn_off_shuffle(token_inf['access_token']) + +def is_token_expired(token_inf): + return 'error' in get_available_devices(token_inf['access_token']) + + +def standard_refresh(user, token_inf): + req_body = { + 'grant_type': 'refresh_token', + 'refresh_token': token_inf['refresh_token'], + 'client_id': client_id, + 'client_secret': client_secret + } + response = requests.post(TOKEN_URL, data=req_body) + write_to_store(user, json.dumps(response.json()), conn, c) + return response.json() + + + +# user_play_album("Emil", "selected ambient works 85-92") +# open_login_flask_app() +# print(play_song(acc, "under pressure").content) +# print(play_artist(acc, "michael jackson").content) +# print(play_album(acc, "selected ambient works 85-92").content) +# print(increase_volume(acc).content) +# print(decrease_volume(acc).content) +# print(set_volume_to(acc, 70).content) +# print(turn_off_shuffle(acc).content) +# print(turn_on_shuffle(acc).content) +# print(next(acc).content) +# print(prev(acc).content) +# print(pause(acc).content) +# print(play(acc).content) +# print(add_to_queue(acc, "under pressure")) +# print(open_login_flask_app()) +#print(open_login_flask_app()) diff --git a/server/function_calling/fastapi_llama3.py b/server/function_calling/fastapi_llama3.py new file mode 100644 index 0000000..565e0ea --- /dev/null +++ b/server/function_calling/fastapi_llama3.py @@ -0,0 +1,20 @@ +import json +import os +# get the functions/classes from group b,c +from llama3 import LLama3 +from fastapi import FastAPI + +app = FastAPI() + +llamaModel = LLama3("Llama-3-8B-function-calling", "https://drive.google.com/drive/folders/1CJtn-3nCfQT3FU3pOgA3zTIdPLQ9n3x6?usp=sharing", "https://drive.google.com/drive/folders/1RmhIu2FXqwu4TxIQ9GpDtYb_IXWoVd7z?usp=sharing") + +print("llama model loaded") + +@app.get("/") +async def root(): + return {"message": "Hello World"} + +@app.post("/t2c/{user_input}") +async def t2c(user_input: str): + output = llamaModel.process_input(user_input) + return {"message": output} diff --git a/server/function_calling/llama3.py b/server/function_calling/llama3.py index 7cf092a..7ecbff3 100644 --- a/server/function_calling/llama3.py +++ b/server/function_calling/llama3.py @@ -10,7 +10,7 @@ from actions.wolfram import ask_wolfram_question from actions.wikipedia import getWikiPageInfo -from actions.spotify import play,set_volume_to,pause,next,prev,turn_on_shuffle,turn_off_shuffle,decrease_volume,increase_volume,play_song,play_album,play_artist,add_to_queue +from actions.spotify_utils import play,set_volume_to,pause,next,prev,turn_on_shuffle,turn_off_shuffle,decrease_volume,increase_volume,play_song,play_album,play_artist,add_to_queue from tutor_ai.backend.ChatEngine import ask_TutorAI_question DEBUG_MODE = 1 diff --git a/server/microservices.py b/server/microservices.py new file mode 100644 index 0000000..f99f253 --- /dev/null +++ b/server/microservices.py @@ -0,0 +1,83 @@ +import logging +from time import time +from os import path, remove +from warnings import filterwarnings +from whisper import load_model +from fastapi import FastAPI, UploadFile +from pydantic import BaseModel +from starlette.middleware.cors import CORSMiddleware +from starlette.responses import RedirectResponse, FileResponse +from gtts import gTTS + +WHISPER_MODEL = "tiny" + +# Configure logging +logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s") + +# Suppress specific warnings (FP16) +filterwarnings("ignore", category=UserWarning, message="FP16 is not supported on CPU; using FP32 instead") + +logging.info("Loading finished - starting server") +app = FastAPI( + title="Whisper API", + description="""Whisper API""", + version="0.1" +) +origins = ["*"] + +logging.info(f"Loading the {WHISPER_MODEL} Whisper model and LLama model!") +# whisper model on cpu because of gpu memory issues +model = load_model(WHISPER_MODEL) + +logging.info("Whisper model loaded!") + +app.add_middleware( + CORSMiddleware, + allow_origins=origins, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + + +class Query(BaseModel): + query: str + + +logging.info("All complete - ready for traffic") + + +@app.get("/") +def swagger_documentation(): + return RedirectResponse(url='/docs') + +@app.post("/text-to-speech/") +async def text_to_speech(text: str): + if not text: + raise HTTPException(status_code=400, detail="empty text not allowed") + + tts = gTTS(text) + file_path = "output.mp3" + tts.save(file_path) + + return FileResponse(file_path, media_type='audio/mpeg', filename="output.mp3") + +@app.post("/whisper") +async def whisper(file: UploadFile): + # save incoming audio file + temp_filename = f"TempFile_{time()}.wav" + with open(temp_filename, 'wb') as temp_file: + temp_file.write(await file.read()) + + # transcribe audio file + transcription_result = model.transcribe(temp_filename) + remove(temp_filename) + print(f"Transcription result: {transcription_result['text']}") + + # send transcript as response + return {"message": transcription_result['text']} + + +if __name__ == "__main__": + import uvicorn + uvicorn.run(app, host="0.0.0.0", port=8006) From d6f682b7a6f6a412e52f7875896a9155abf35c93 Mon Sep 17 00:00:00 2001 From: Oliver Woischnik Date: Tue, 2 Jul 2024 18:24:31 +0000 Subject: [PATCH 27/59] llama implemented as endpoint using fastapi_llama3 using modified spotify_utils, other microservices available through microservices.py --- server/function_calling/.gitignore | 1 + .../function_calling/actions/spotify_utils.py | 368 ++++++++++++++++++ server/function_calling/fastapi_llama3.py | 20 + server/function_calling/llama3.py | 2 +- server/microservices.py | 83 ++++ 5 files changed, 473 insertions(+), 1 deletion(-) create mode 100644 server/function_calling/.gitignore create mode 100644 server/function_calling/actions/spotify_utils.py create mode 100644 server/function_calling/fastapi_llama3.py create mode 100644 server/microservices.py diff --git a/server/function_calling/.gitignore b/server/function_calling/.gitignore new file mode 100644 index 0000000..f7275bb --- /dev/null +++ b/server/function_calling/.gitignore @@ -0,0 +1 @@ +venv/ diff --git a/server/function_calling/actions/spotify_utils.py b/server/function_calling/actions/spotify_utils.py new file mode 100644 index 0000000..74cd4cf --- /dev/null +++ b/server/function_calling/actions/spotify_utils.py @@ -0,0 +1,368 @@ +import datetime +import urllib +import sqlite3 +from urllib import parse +import base64 +import json +import requests +from requests import post, get +from flask import Flask, redirect, request, session, jsonify +import webbrowser +from threading import Timer, Event +from actions.database_handling import write_to_store, read_from_store, delete_from_store + +client_id = "0fa32183ad404b22bf2587006b50421f" +client_secret = "53520c39acb44b16962a58df6bd94e8e" +redirect_uri = "http://127.0.0.1:5000/callback" +TOKEN_URL = 'https://accounts.spotify.com/api/token' +API_BASE_URL = 'https://api.spotify.com/v1/' +current_session = { + 'access_token': '', + 'refresh_token': '', + 'expires_at': '' +} + +def get_token(): + auth_string = client_id + ":" + client_secret + auth_bytes = auth_string.encode("utf-8") + auth_64 = str(base64.b64encode(auth_bytes), "utf-8") + url = "https://accounts.spotify.com/api/token" + headers = { + "Authorization": "Basic " + auth_64, + "Content-Type": "application/x-www-form-urlencoded" + } + data = {"grant_type": "client_credentials"} + result = post(url, headers=headers, data=data) + json_result = json.loads(result.content) + token = json_result["access_token"] + return token + + +def open_browser(): + webbrowser.open_new("http://127.0.0.1:5000") + + +def open_login_flask_app(): + Timer(1, open_browser).start() + + # Run Flask app in a separate thread + import threading + flask_thread = threading.Thread(target=app.run, kwargs={'debug': True, 'use_reloader': False}) + flask_thread.start() + + # Wait until the token is received + token_received_event.wait() + + # Stop the Flask server (optional, if needed) + # request.environ.get('werkzeug.server.shutdown')() + + return token_info + + +# END OF FLASK APP, FUNCS START HERE + + +def search_for_artist(token, artist_name): + url = "https://api.spotify.com/v1/search" + headers = {"Authorization": "Bearer " + token} + query = f"?q={artist_name}&type=artist&limit=1" + query_url = url + query + result = requests.get(query_url, headers=headers) + json_result = result.json() + ide = json_result['artists']['items'][0]['id'] + return ide + + +def play_artist(access_token, artist): + token = get_token() + idee = search_for_artist(token, artist) + context_uri = "spotify:artist:" + idee + headers = { + 'Authorization': f"Bearer {access_token}", + 'Accept': "application/json", + 'Content-Type': "application/json" + } + req_body = { + 'context_uri': context_uri + } + response = requests.put(API_BASE_URL + 'me/player/play', headers=headers, json=req_body) + return response + +def user_play_artist(user, artist): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return play_song(token_inf['access_token'], artist) + +def search_for_album(token, album_name): + url = "https://api.spotify.com/v1/search" + headers = {"Authorization": "Bearer " + token} + query = f"?q={album_name}&type=album&limit=1" + query_url = url + query + result = requests.get(query_url, headers=headers) + json_result = result.json() + ide = json_result['albums']['items'][0]['id'] + return ide + + +def play_album(access_token, album): + token = get_token() + idee = search_for_album(token, album) + context_uri = "spotify:album:" + idee + headers = { + 'Authorization': f"Bearer {access_token}", + 'Accept': "application/json", + 'Content-Type': "application/json" + } + req_body = { + 'context_uri': context_uri + } + response = requests.put(API_BASE_URL + 'me/player/play', headers=headers, json=req_body) + return response + +""" +def get_similar_artist(token, artist_name): + json_result = search_for_artist(token, artist_name) + print(json_result) + similar_url = json_result['next'] + result = get(similar_url, headers=(token)) + similars = json.loads(result.content) + print(similars) +""" + + +def get_playback_state(access_token): + headers = { + 'Authorization': f"Bearer {access_token}" + } + response = requests.get(API_BASE_URL + 'me/player', headers=headers) + return response.json() + + +def get_playlists(access_token): + headers = { + 'Authorization': f"Bearer {access_token}" + } + + response = requests.get(API_BASE_URL + 'me/playlists', headers=headers) + + return response.json() + + +def get_available_devices(access_token): + headers = { + 'Authorization': f"Bearer {access_token}" + } + response = requests.get(API_BASE_URL + 'me/player/devices', headers=headers) + return response.json() + + +def next(access_token): + headers = { + 'Authorization': f"Bearer {access_token}" + } + response = requests.post(API_BASE_URL + 'me/player/next', headers=headers) + return response + +def user_next(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return next(token_inf['access_token']) + +def prev(access_token): + headers = { + 'Authorization': f"Bearer {access_token}" + } + response = requests.post(API_BASE_URL + 'me/player/previous', headers=headers) + return response + +def user_prev(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return prev(token_inf['access_token']) + +def pause(access_token): + headers = { + 'Authorization': f"Bearer {access_token}" + } + response = requests.put(API_BASE_URL + 'me/player/pause', headers=headers) + return response + +def user_pause(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return pause(token_inf['access_token']) + +def play(access_token): + headers = { + 'Authorization': f"Bearer {access_token}" + } + response = requests.put(API_BASE_URL + 'me/player/play', headers=headers) + return response + +def user_play(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return play(token_inf['access_token']) + +def search_for_song(token, song_name): + url = "https://api.spotify.com/v1/search" + headers = {"Authorization": "Bearer " + token} + query = f"?q={song_name}&type=track&limit=1" + query_url = url + query + result = requests.get(query_url, headers=headers) + json_result = result.json() + ide = json_result['tracks']['items'][0]['id'] + return ide + + +def play_song(access_token, song): + token = get_token() + idee = search_for_song(token, song) + print(idee) + context_uri = "spotify:track:" + idee + headers = { + 'Authorization': f"Bearer {access_token}", + 'Accept': "application/json", + 'Content-Type': "application/json" + } + req_body = { + 'uris': [context_uri] + } + response = requests.put(API_BASE_URL + 'me/player/play', headers=headers, json=req_body) + return response + +def user_play_song(user, song): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(user, token_inf) + return play_song(token_inf['access_token'], song) + +def increase_volume(access_token): + currentstate = get_playback_state(access_token) + vol = currentstate['device']['volume_percent'] + print(vol) + vol = vol + 15 + if vol > 100: + vol = 100 + headers = {'Authorization': f"Bearer {access_token}"} + url = API_BASE_URL + f"me/player/volume?volume_percent={vol}" + response = requests.put(url, headers=headers) + return response + +def user_increase_volume(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return increase_volume(token_inf['access_token']) + +def decrease_volume(access_token): + currentstate = get_playback_state(access_token) + vol = currentstate['device']['volume_percent'] + if vol > 20: + vol = vol - 15 + else: + vol = vol / 2 + headers = {'Authorization': f"Bearer {access_token}"} + url = API_BASE_URL + f"me/player/volume?volume_percent={vol}" + response = requests.put(url, headers=headers) + return response + +def user_decrease_volume(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return decrease_volume(token_inf['access_token']) + + +def set_volume_to(access_token, vol): # Takes user access token and desired volume in percent (0-100 including) + headers = {'Authorization': f"Bearer {access_token}"} + url = API_BASE_URL + f"me/player/volume?volume_percent={vol}" + response = requests.put(url, headers=headers) + return response + +def user_set_volume_to(user, vol): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return set_volume_to(token_inf['access_token'], vol) + + +def add_to_queue(access_token, song): + token = get_token() + idee = search_for_song(token, song) + context_uri = "spotify:track:" + idee + headers = { + 'Authorization': f"Bearer {access_token}", + 'Content-Type': "application/json" + } + url = API_BASE_URL + f'me/player/queue?uri={context_uri}' + response = requests.post(url, headers=headers) + return response + +def user_add_to_queue(user, song): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return add_to_queue(token_inf['access_token'], song) + +def turn_on_shuffle(access_token): + headers = {'Authorization': f"Bearer {access_token}"} + response = requests.put(API_BASE_URL + 'me/player/shuffle?state=true', headers=headers) + return response + +def user_turn_on_shuffle(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return turn_on_shuffle(token_inf['access_token']) + +def turn_off_shuffle(access_token): + headers = {'Authorization': f"Bearer {access_token}"} + response = requests.put(API_BASE_URL + 'me/player/shuffle?state=false', headers=headers) + return response + +def user_turn_off_shuffle(user): + token_inf = get_token_inf(user) + if is_token_expired(token_inf): + token_inf = standard_refresh(token_inf) + return turn_off_shuffle(token_inf['access_token']) + +def is_token_expired(token_inf): + return 'error' in get_available_devices(token_inf['access_token']) + + +def standard_refresh(user, token_inf): + req_body = { + 'grant_type': 'refresh_token', + 'refresh_token': token_inf['refresh_token'], + 'client_id': client_id, + 'client_secret': client_secret + } + response = requests.post(TOKEN_URL, data=req_body) + write_to_store(user, json.dumps(response.json()), conn, c) + return response.json() + + + +# user_play_album("Emil", "selected ambient works 85-92") +# open_login_flask_app() +# print(play_song(acc, "under pressure").content) +# print(play_artist(acc, "michael jackson").content) +# print(play_album(acc, "selected ambient works 85-92").content) +# print(increase_volume(acc).content) +# print(decrease_volume(acc).content) +# print(set_volume_to(acc, 70).content) +# print(turn_off_shuffle(acc).content) +# print(turn_on_shuffle(acc).content) +# print(next(acc).content) +# print(prev(acc).content) +# print(pause(acc).content) +# print(play(acc).content) +# print(add_to_queue(acc, "under pressure")) +# print(open_login_flask_app()) +#print(open_login_flask_app()) diff --git a/server/function_calling/fastapi_llama3.py b/server/function_calling/fastapi_llama3.py new file mode 100644 index 0000000..565e0ea --- /dev/null +++ b/server/function_calling/fastapi_llama3.py @@ -0,0 +1,20 @@ +import json +import os +# get the functions/classes from group b,c +from llama3 import LLama3 +from fastapi import FastAPI + +app = FastAPI() + +llamaModel = LLama3("Llama-3-8B-function-calling", "https://drive.google.com/drive/folders/1CJtn-3nCfQT3FU3pOgA3zTIdPLQ9n3x6?usp=sharing", "https://drive.google.com/drive/folders/1RmhIu2FXqwu4TxIQ9GpDtYb_IXWoVd7z?usp=sharing") + +print("llama model loaded") + +@app.get("/") +async def root(): + return {"message": "Hello World"} + +@app.post("/t2c/{user_input}") +async def t2c(user_input: str): + output = llamaModel.process_input(user_input) + return {"message": output} diff --git a/server/function_calling/llama3.py b/server/function_calling/llama3.py index 7cf092a..7ecbff3 100644 --- a/server/function_calling/llama3.py +++ b/server/function_calling/llama3.py @@ -10,7 +10,7 @@ from actions.wolfram import ask_wolfram_question from actions.wikipedia import getWikiPageInfo -from actions.spotify import play,set_volume_to,pause,next,prev,turn_on_shuffle,turn_off_shuffle,decrease_volume,increase_volume,play_song,play_album,play_artist,add_to_queue +from actions.spotify_utils import play,set_volume_to,pause,next,prev,turn_on_shuffle,turn_off_shuffle,decrease_volume,increase_volume,play_song,play_album,play_artist,add_to_queue from tutor_ai.backend.ChatEngine import ask_TutorAI_question DEBUG_MODE = 1 diff --git a/server/microservices.py b/server/microservices.py new file mode 100644 index 0000000..f99f253 --- /dev/null +++ b/server/microservices.py @@ -0,0 +1,83 @@ +import logging +from time import time +from os import path, remove +from warnings import filterwarnings +from whisper import load_model +from fastapi import FastAPI, UploadFile +from pydantic import BaseModel +from starlette.middleware.cors import CORSMiddleware +from starlette.responses import RedirectResponse, FileResponse +from gtts import gTTS + +WHISPER_MODEL = "tiny" + +# Configure logging +logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s") + +# Suppress specific warnings (FP16) +filterwarnings("ignore", category=UserWarning, message="FP16 is not supported on CPU; using FP32 instead") + +logging.info("Loading finished - starting server") +app = FastAPI( + title="Whisper API", + description="""Whisper API""", + version="0.1" +) +origins = ["*"] + +logging.info(f"Loading the {WHISPER_MODEL} Whisper model and LLama model!") +# whisper model on cpu because of gpu memory issues +model = load_model(WHISPER_MODEL) + +logging.info("Whisper model loaded!") + +app.add_middleware( + CORSMiddleware, + allow_origins=origins, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + + +class Query(BaseModel): + query: str + + +logging.info("All complete - ready for traffic") + + +@app.get("/") +def swagger_documentation(): + return RedirectResponse(url='/docs') + +@app.post("/text-to-speech/") +async def text_to_speech(text: str): + if not text: + raise HTTPException(status_code=400, detail="empty text not allowed") + + tts = gTTS(text) + file_path = "output.mp3" + tts.save(file_path) + + return FileResponse(file_path, media_type='audio/mpeg', filename="output.mp3") + +@app.post("/whisper") +async def whisper(file: UploadFile): + # save incoming audio file + temp_filename = f"TempFile_{time()}.wav" + with open(temp_filename, 'wb') as temp_file: + temp_file.write(await file.read()) + + # transcribe audio file + transcription_result = model.transcribe(temp_filename) + remove(temp_filename) + print(f"Transcription result: {transcription_result['text']}") + + # send transcript as response + return {"message": transcription_result['text']} + + +if __name__ == "__main__": + import uvicorn + uvicorn.run(app, host="0.0.0.0", port=8006) From 95c064ec7ac5f94f6294ede8e58827b693fb36ec Mon Sep 17 00:00:00 2001 From: Oliver Woischnik <148003728+olwoi@users.noreply.github.com> Date: Thu, 4 Jul 2024 16:00:49 +0000 Subject: [PATCH 28/59] Added Dockerfiles and compose.yml for backend endpoints (S2T, T2C, T2S) --- compose.yaml | 21 +++++++++++++++++++ server/.gitignore | 1 + server/function_calling/Dockerfile | 12 +++++++++++ server/function_calling/fastapi_llama3.py | 7 ++++++- .../function_calling/requirementsServer.txt | 19 +++++++++++++++++ server/microservices/Dockerfile | 6 ++++++ server/{ => microservices}/microservices.py | 4 ++-- 7 files changed, 67 insertions(+), 3 deletions(-) create mode 100644 compose.yaml create mode 100644 server/.gitignore create mode 100644 server/function_calling/Dockerfile create mode 100644 server/function_calling/requirementsServer.txt create mode 100644 server/microservices/Dockerfile rename server/{ => microservices}/microservices.py (95%) diff --git a/compose.yaml b/compose.yaml new file mode 100644 index 0000000..fc7be99 --- /dev/null +++ b/compose.yaml @@ -0,0 +1,21 @@ +services: + llama3_service: + build: + context: ./server/function_calling + container_name: betteralexa_llama_service + ports: + - "8007:8007" + deploy: + resources: + reservations: + devices: + - driver: nvidia + count: 1 + capabilities: [gpu] + + microservices: + build: + context: ./server/microservices + container_name: betteralexa_microservices + ports: + - "8006:8006" diff --git a/server/.gitignore b/server/.gitignore new file mode 100644 index 0000000..f7275bb --- /dev/null +++ b/server/.gitignore @@ -0,0 +1 @@ +venv/ diff --git a/server/function_calling/Dockerfile b/server/function_calling/Dockerfile new file mode 100644 index 0000000..e167237 --- /dev/null +++ b/server/function_calling/Dockerfile @@ -0,0 +1,12 @@ +FROM python:3.11-slim + +WORKDIR /app + +# copy parameters and scripts from root +COPY . . + +# Install dependencies for llama 3 and function calling without caching installation files (to reduce Docker image size) +RUN pip install --no-cache-dir -r requirementsServer.txt + +# Run the FastAPI app +CMD ["uvicorn", "fastapi_llama3:app", "--host", "0.0.0.0", "--port", "8007"] diff --git a/server/function_calling/fastapi_llama3.py b/server/function_calling/fastapi_llama3.py index 565e0ea..6cf675d 100644 --- a/server/function_calling/fastapi_llama3.py +++ b/server/function_calling/fastapi_llama3.py @@ -3,6 +3,7 @@ # get the functions/classes from group b,c from llama3 import LLama3 from fastapi import FastAPI +from starlette.responses import RedirectResponse app = FastAPI() @@ -12,9 +13,13 @@ @app.get("/") async def root(): - return {"message": "Hello World"} + return RedirectResponse(url="/docs") @app.post("/t2c/{user_input}") async def t2c(user_input: str): output = llamaModel.process_input(user_input) return {"message": output} + +if __name__ == "__main__": + import uvicorn + uvicorn.run(app, hostname="0.0.0.0", port=8007) diff --git a/server/function_calling/requirementsServer.txt b/server/function_calling/requirementsServer.txt new file mode 100644 index 0000000..14e3150 --- /dev/null +++ b/server/function_calling/requirementsServer.txt @@ -0,0 +1,19 @@ +torch +transformers +bitsandbytes +accelerate +trl +uvicorn +openai-whisper +fastapi +wikipedia-api +flask +beautifulsoup4 +python-multipart +pvrecorder +deep_translator +lingua-language-detector + +llama-index-llms-ollama +llama-index-embeddings-ollama +llama-index-readers-file \ No newline at end of file diff --git a/server/microservices/Dockerfile b/server/microservices/Dockerfile new file mode 100644 index 0000000..7934235 --- /dev/null +++ b/server/microservices/Dockerfile @@ -0,0 +1,6 @@ +# Dockerfile for microservices.py +FROM python:3.11-slim +WORKDIR /app +COPY microservices.py /app +run pip install fastapi uvicorn openai-whisper gtts +CMD ["uvicorn", "microservices:app", "--host", "0.0.0.0", "--port", "8006"] diff --git a/server/microservices.py b/server/microservices/microservices.py similarity index 95% rename from server/microservices.py rename to server/microservices/microservices.py index f99f253..639cda2 100644 --- a/server/microservices.py +++ b/server/microservices/microservices.py @@ -19,13 +19,13 @@ logging.info("Loading finished - starting server") app = FastAPI( - title="Whisper API", + title="S2T & T2S API", description="""Whisper API""", version="0.1" ) origins = ["*"] -logging.info(f"Loading the {WHISPER_MODEL} Whisper model and LLama model!") +logging.info(f"Loading the {WHISPER_MODEL} Whisper model") # whisper model on cpu because of gpu memory issues model = load_model(WHISPER_MODEL) From 2413a3710338b5096f967c51e44efed8880ed103 Mon Sep 17 00:00:00 2001 From: David Gashaw Date: Fri, 5 Jul 2024 11:13:07 +0200 Subject: [PATCH 29/59] Video Indexing Loading Data --- indexing/.gitignore | 1 + indexing/loadqdrant.py | 143 +++++++++++++++++++++++++++++++++++++++++ 2 files changed, 144 insertions(+) create mode 100644 indexing/.gitignore create mode 100644 indexing/loadqdrant.py diff --git a/indexing/.gitignore b/indexing/.gitignore new file mode 100644 index 0000000..4a6fc41 --- /dev/null +++ b/indexing/.gitignore @@ -0,0 +1 @@ +Vectorized/ \ No newline at end of file diff --git a/indexing/loadqdrant.py b/indexing/loadqdrant.py new file mode 100644 index 0000000..9bcbe69 --- /dev/null +++ b/indexing/loadqdrant.py @@ -0,0 +1,143 @@ +from qdrant_client import models, QdrantClient +from sentence_transformers import SentenceTransformer +import json +import os +import time +from deep_translator import GoogleTranslator + + + +# encoder = None +encoder = SentenceTransformer("all-MiniLM-L6-v2") +# client = None +client = QdrantClient(url="http://localhost:6333") + +# Code below vectorizes the transcriptions and saves them as JSONs +def create_vector_json(folder_path, course): + big_dict = [] + with open(os.path.join(folder_path, "download_log.json"), 'r') as f: + download_log_data = json.load(f) + + for item in download_log_data: + title = item['Title'] + website = item['Website'] + + # Compare the first 5 characters of the title with the course variable + if title[:5] == course: + # Create a directory named after the first 5 characters of the title + dir_path = os.path.join(folder_path, title[:5]) + os.makedirs(dir_path, exist_ok=True) + print(f"Processing {title}") + startlecture = time.time() + # Create a JSON file named after the entire title within the newly created directory + transcription = os.path.join(dir_path, f"{title}.json") + with open(transcription,'r') as json_file: + lecture = json.load(json_file) + for lecture in lecture: + timestamps = lecture['Timestamps'] + # Sort timestamps based on the 'start' field, treating None as infinity + sorted_timestamps = sorted(timestamps, key=lambda x: float('inf') if x['start'] is None else x['start']) + for timestamp in sorted_timestamps: + content = timestamp['text'] + start = time.time() + content = GoogleTranslator(source='de', target='en').translate(content) + # print(f"Translation time took: {time.time()-start}") + start = time.time() + vector = encoder.encode(content).tolist() + # print(f"Encoding time took: {time.time()-start}") + # Add the data to the big dictionary + big_dict.append({ + 'lecture': title, + 'content': content, + 'lecture_link': website, + 'course': course, + 'vector': vector, + 'start': timestamp['start'], + }) + print(f"Processing lecture took: {(time.time()-startlecture)/60} minutes") + + + file_path = os.path.join(os.path.join(folder_path, course), f"{course}.json") + with open(file_path, 'w') as json_file: + json.dump(big_dict, json_file) + +def createcollection(name, dimensions, courses, folder): + start = time.time() + client.recreate_collection( + collection_name=name, + vectors_config=models.VectorParams( + size=dimensions, # Vector size is defined by used model + distance=models.Distance.COSINE, + )) + print(f"Recreating collection took: {time.time()-start}") + initialstart = time.time() + counter = 1 # Initialize counter before starting the loop over courses + for course in courses: + start = time.time() + filepath = os.path.join(folder, f"{course}.json") + with open(filepath) as f: + documents = json.load(f) + if documents: # Check if the list is not empty + print(f"First document type: {type(documents[0])}") + for doc in documents: + client.upload_points( + collection_name=name, + points=[ + models.PointStruct( + id=counter, # Use the counter as a unique identifier for each document + vector=doc["vector"], + payload={**{key: value for key, value in doc.items() if key != 'vector'}, 'course': course} + ) + ], + ) + counter += 1 # Increment the counter for each document + print(f"Uploading points took: {time.time()-start}") + print(f"Total time taken: {time.time()-initialstart}") + +def queryCollection(query,lang,collection): + if lang != 'en': + query = GoogleTranslator(source=lang, target='en').translate(query) + start = time.time() + query_vector = encoder.encode(query).tolist() + search_results = client.search( + collection_name=collection, + query_vector=query_vector, + limit=3, + ) + print(f"Querying took: {time.time()-start}") + results = [] + for res in search_results: + if res.score>0.95: + results.append(res) + return results + +# Code below vectorizes the transcriptions and saves them as JSONs +#To reuse, change the folder path and course variable +# NOTE CAN TAKE A WHILE TO RUN for all courses listed in done took around 26 hours + +# actualstart = time.time() +# create_vector_json(r'F:\MVA\Video_Indexing', '25797') +# Done: '23037','25797','28622','30325', '30849', ,'31070','31624','33475','33845','34637','35440','35532','35958','36347','37656','37800','38479' +# courses = ['30385'] +# print(f"Running batch with {len(courses)} courses") +# splits = [] +# for course in courses: +# start = time.time() +# print(f"\n \n Processing course: {course}") +# create_vector_json(r'F:\MVA\Video_Indexing', course) # Change the folder path to the folder containing the course folders +# print(f"\n \n Creating vector json took: {(time.time()-start)/60} minutes") +# splits.append(f"Course {course} took {(time.time()-start)/60} minutes") + +# print(f"Total time taken: {(time.time()-actualstart)/60} minutes") +# for split in splits: +# print(split) + + +# Code below creates a collection in Qdrant and uploads a list of jsons +createcollection('MVA', encoder.get_sentence_embedding_dimension(), ['23037','25797','28622','30325', '30385','30849','31070','31624','33475','33845','34637','35440','35532','35958','36347','37656','37800','38479'], '/Vectorized') + + + + +# print(queryCollection('Wie funktuniert Matrizen multiplikation? ich habe es nicht wirklich in der Vorlesung verstanden','de','MVA')) + From cd31becc526f754eb1f06820c8a5ab862b132d21 Mon Sep 17 00:00:00 2001 From: PP GPU Server Date: Fri, 5 Jul 2024 10:49:32 +0000 Subject: [PATCH 30/59] Server side Indexing compatibility --- indexing/.gitignore | 3 ++- indexing/loadqdrant.py | 2 +- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/indexing/.gitignore b/indexing/.gitignore index 4a6fc41..647ab93 100644 --- a/indexing/.gitignore +++ b/indexing/.gitignore @@ -1 +1,2 @@ -Vectorized/ \ No newline at end of file +Vectorized/ +venv/ diff --git a/indexing/loadqdrant.py b/indexing/loadqdrant.py index 9bcbe69..351d508 100644 --- a/indexing/loadqdrant.py +++ b/indexing/loadqdrant.py @@ -134,7 +134,7 @@ def queryCollection(query,lang,collection): # Code below creates a collection in Qdrant and uploads a list of jsons -createcollection('MVA', encoder.get_sentence_embedding_dimension(), ['23037','25797','28622','30325', '30385','30849','31070','31624','33475','33845','34637','35440','35532','35958','36347','37656','37800','38479'], '/Vectorized') +createcollection('MVA', encoder.get_sentence_embedding_dimension(), ['23037','25797','28622','30325', '30385','30849','31070','31624','33475','33845','34637','35440','35532','35958','36347','37656','37800','38479'], 'Vectorized/') From 1912aa7dda77cde2617b3c1a510083d528c3a86b Mon Sep 17 00:00:00 2001 From: David Gashaw Date: Fri, 5 Jul 2024 13:15:08 +0200 Subject: [PATCH 31/59] FastAPI Endpoint for Videoindexing --- indexing/fastapi_index.py | 18 +++++++++++++ indexing/loadqdrant.py | 55 ++++++++++++++++++++++++++++++++++----- 2 files changed, 67 insertions(+), 6 deletions(-) create mode 100644 indexing/fastapi_index.py diff --git a/indexing/fastapi_index.py b/indexing/fastapi_index.py new file mode 100644 index 0000000..5ed65cb --- /dev/null +++ b/indexing/fastapi_index.py @@ -0,0 +1,18 @@ +from fastapi import FastAPI +from starlette.responses import RedirectResponse +import uvicorn +import os +import loadqdrant + +app = FastAPI() + +@app.get("/") +async def root(): + return RedirectResponse(url="/docs") +@app.post("/vidindex/{user_input}") +async def vidindex(user_input: str): + response = loadqdrant.queryCollection(user_input, 'MVA') + return {'message': response} + +if __name__ == "__main__": + uvicorn.run(app, hostname="0.0.0.0", port=8047) \ No newline at end of file diff --git a/indexing/loadqdrant.py b/indexing/loadqdrant.py index 9bcbe69..381d9d4 100644 --- a/indexing/loadqdrant.py +++ b/indexing/loadqdrant.py @@ -4,6 +4,7 @@ import os import time from deep_translator import GoogleTranslator +import langdetect @@ -94,7 +95,29 @@ def createcollection(name, dimensions, courses, folder): print(f"Uploading points took: {time.time()-start}") print(f"Total time taken: {time.time()-initialstart}") -def queryCollection(query,lang,collection): +def queryCollection(query,collection): + coursenames = { + '23037': 'System Programmierung SoSe21', + '25797': 'Wissenschaftliches Rechnen WiSe21/22', + '28622': 'Diskrete Strukturen SoSe22', + '30325': 'Wissenschaftliches Rechnen WiSe22/23', + '30385':'Berechenbarkeit und Komplexität WiSe22/23', + '30849': 'Softwaretechnik und Programmierparadigmen WiSe22/23', + '31070': 'Analysis 1 und Lineares Algebra WiSe22/23', + '31624': 'Algorithmen und Datenstrukturen SoSe23', + '33475': 'Diskrete Strukturen SoSe23', + '33845': 'Algorithmentheorie SoSe23', + '34637': 'Robotics WiSe23/24', + '35440': 'Logik Wise23/24', + '35532': 'IntroProg Wise23/24', + '35958': 'Softwaretechnik und Programmierparadigmen WiSe23/24', + '36347': 'Betriebsysteme Praktikum WiSe23/24', + '37656': 'Verteilte Systeme SoSe24', + '37800': 'Algorithmentheorie SoSe24', + '38479': 'Algorithmen und Datenstrukturen SoSe24' + } + lang = langdetect.detect(query) + print(f"Detected language: {lang}") if lang != 'en': query = GoogleTranslator(source=lang, target='en').translate(query) start = time.time() @@ -102,14 +125,34 @@ def queryCollection(query,lang,collection): search_results = client.search( collection_name=collection, query_vector=query_vector, - limit=3, + limit=5, ) print(f"Querying took: {time.time()-start}") results = [] + visited = [] + outstring = "" + first = True for res in search_results: - if res.score>0.95: + if res.score>0.65 and res.payload['course'] not in visited: results.append(res) - return results + visited.append(res.payload['course']) + website = res.payload['lecture_link'] + '#@' + str(int(res.payload['start'])) + if first: + if lang != 'en': + outstring += f"Folgende relevante Videos wurden gefunden: \n" + else: + outstring += f"Following relevant videoes were found: \n" + first = False + if lang != 'en': + outstring += f"Vom Kurs {coursenames[res.payload['course']]}: {website}\n" + else: + outstring += f"From course {coursenames[res.payload['course']]}: {website}\n" + if not results: + if lang != 'en': + outstring += "Keine relevanten Videos gefunden" + else: + outstring += "No relevant videos found" + return outstring # Code below vectorizes the transcriptions and saves them as JSONs #To reuse, change the folder path and course variable @@ -134,10 +177,10 @@ def queryCollection(query,lang,collection): # Code below creates a collection in Qdrant and uploads a list of jsons -createcollection('MVA', encoder.get_sentence_embedding_dimension(), ['23037','25797','28622','30325', '30385','30849','31070','31624','33475','33845','34637','35440','35532','35958','36347','37656','37800','38479'], '/Vectorized') +# createcollection('MVA', encoder.get_sentence_embedding_dimension(), ['23037','25797','28622','30325', '30385','30849','31070','31624','33475','33845','34637','35440','35532','35958','36347','37656','37800','38479'], '/Vectorized') -# print(queryCollection('Wie funktuniert Matrizen multiplikation? ich habe es nicht wirklich in der Vorlesung verstanden','de','MVA')) +# print(queryCollection('Wie funktuniert Matrizen multiplikation? ich habe es nicht wirklich in der Vorlesung verstanden','MVA')) From 7329d424e0f461611eaabd287f3fd7d6ca8bddb2 Mon Sep 17 00:00:00 2001 From: David Gashaw Date: Fri, 5 Jul 2024 13:18:52 +0200 Subject: [PATCH 32/59] FastAPI endpoint Video Indexing v1 --- indexing/loadqdrant.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/indexing/loadqdrant.py b/indexing/loadqdrant.py index 6bf1784..44689d9 100644 --- a/indexing/loadqdrant.py +++ b/indexing/loadqdrant.py @@ -177,7 +177,7 @@ def queryCollection(query,collection): # Code below creates a collection in Qdrant and uploads a list of jsons -createcollection('MVA', encoder.get_sentence_embedding_dimension(), ['23037','25797','28622','30325', '30385','30849','31070','31624','33475','33845','34637','35440','35532','35958','36347','37656','37800','38479'], 'Vectorized/') +# createcollection('MVA', encoder.get_sentence_embedding_dimension(), ['23037','25797','28622','30325', '30385','30849','31070','31624','33475','33845','34637','35440','35532','35958','36347','37656','37800','38479'], 'Vectorized/') From b79963367a2b6df6a46b706e8d4a509e5a9928a7 Mon Sep 17 00:00:00 2001 From: PP GPU Server Date: Fri, 5 Jul 2024 12:25:49 +0000 Subject: [PATCH 33/59] =?UTF-8?q?Serverseite=20=C3=A4nderungen=20zum=20Vid?= =?UTF-8?q?eo=20INdexing=20endpunkt?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- indexing/.gitignore | 1 + indexing/fastapi_index.py | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/indexing/.gitignore b/indexing/.gitignore index 647ab93..9064a06 100644 --- a/indexing/.gitignore +++ b/indexing/.gitignore @@ -1,2 +1,3 @@ Vectorized/ venv/ +qdrant_storage/ diff --git a/indexing/fastapi_index.py b/indexing/fastapi_index.py index 5ed65cb..e75ca67 100644 --- a/indexing/fastapi_index.py +++ b/indexing/fastapi_index.py @@ -15,4 +15,4 @@ async def vidindex(user_input: str): return {'message': response} if __name__ == "__main__": - uvicorn.run(app, hostname="0.0.0.0", port=8047) \ No newline at end of file + uvicorn.run(app, port=8047) From 033246e103642c317b3dec7b235fcd46eec135ad Mon Sep 17 00:00:00 2001 From: David Gashaw Date: Fri, 5 Jul 2024 14:28:11 +0200 Subject: [PATCH 34/59] Bessere formatierung von response video indexing --- indexing/loadqdrant.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/indexing/loadqdrant.py b/indexing/loadqdrant.py index 44689d9..fc225d7 100644 --- a/indexing/loadqdrant.py +++ b/indexing/loadqdrant.py @@ -144,9 +144,9 @@ def queryCollection(query,collection): outstring += f"Following relevant videoes were found: \n" first = False if lang != 'en': - outstring += f"Vom Kurs {coursenames[res.payload['course']]}: {website}\n" + outstring += f"Vom Kurs {coursenames[res.payload['course']]}: {website} \n" else: - outstring += f"From course {coursenames[res.payload['course']]}: {website}\n" + outstring += f"From course {coursenames[res.payload['course']]}: {website} \n" if not results: if lang != 'en': outstring += "Keine relevanten Videos gefunden" From f519fa78d125e0d8d3ee890884050eed13f7f5f2 Mon Sep 17 00:00:00 2001 From: David Gashaw Date: Fri, 5 Jul 2024 15:42:06 +0200 Subject: [PATCH 35/59] =?UTF-8?q?Documenation=20f=C3=BCrs=20indexing?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- indexing/DataSetup/getmp3.py | 92 +++++++++++++++++ indexing/DataSetup/transcribe.py | 167 +++++++++++++++++++++++++++++++ indexing/VideoIndexing.md | 27 +++++ 3 files changed, 286 insertions(+) create mode 100644 indexing/DataSetup/getmp3.py create mode 100644 indexing/DataSetup/transcribe.py create mode 100644 indexing/VideoIndexing.md diff --git a/indexing/DataSetup/getmp3.py b/indexing/DataSetup/getmp3.py new file mode 100644 index 0000000..e3d22a8 --- /dev/null +++ b/indexing/DataSetup/getmp3.py @@ -0,0 +1,92 @@ +from selenium import webdriver +from selenium.webdriver.chrome.options import Options +from selenium.webdriver.common.by import By +from selenium.webdriver.support.ui import WebDriverWait +from selenium.webdriver.support import expected_conditions as EC +from selenium.common.exceptions import TimeoutException +import requests +import subprocess +import os +import json + +def extract_audio(local_video_path, output_file): + try: + ffmpeg_command = f'ffmpeg -i "{local_video_path}" -vn -acodec libmp3lame -y "{output_file}"' + subprocess.call(ffmpeg_command, shell=True) + os.remove(local_video_path) # Delete the .mp4 file after conversion + except Exception as e: + print(f"Error during audio extraction: {e}") + +def setup_session_with_cookies(driver): + session = requests.Session() + for cookie in driver.get_cookies(): + session.cookies.set(cookie['name'], cookie['value'], domain=cookie['domain']) + return session + +def sanitize_filename(name): + import re + return re.sub(r'[\\/*?:"<>|]', "", name) + +def download_and_extract_audio(session, video_url, lecture_name, output_index, page_link, processed_urls): + if video_url in processed_urls: + print(f"Skipping duplicate video URL: {video_url}") + return + processed_urls.add(video_url) + safe_lecture_name = sanitize_filename(lecture_name) + local_video_path = f'{safe_lecture_name}_{output_index}.mp4' + output_file = f'{safe_lecture_name}_{output_index}.mp3' + response = session.get(video_url, stream=True) + if response.status_code == 200: + with open(local_video_path, 'wb') as f: + for chunk in response.iter_content(1024): + f.write(chunk) + extract_audio(local_video_path, output_file) + log_entry(output_file, page_link) + print(f'Audio extracted and saved as {output_file}') + else: + print(f"Failed to download video from {video_url}, Response Code = {response.status_code}") + +def log_entry(title, link): + entry = {"Title": title, "Link": link} + try: + with open('download_log.json', 'r+') as log_file: + log_data = json.load(log_file) + log_data.append(entry) + log_file.seek(0) + json.dump(log_data, log_file, indent=4) + except FileNotFoundError: + with open('download_log.json', 'w') as log_file: + json.dump([entry], log_file, indent=4) + +def scrape_and_extract_audio(start_url): + chrome_options = Options() + chrome_options.binary_location = "C:\\Program Files\\Google\\Chrome\\Application\\chrome.exe" + chrome_options.add_argument("webdriver.chrome.driver=C:\\Users\\user\\Desktop\\ChromiumDriver\\chromedriver.exe") + + driver = webdriver.Chrome(options=chrome_options) + driver.get(start_url) + input("Press Enter to continue...") + processed_urls = set() + + try: + session = setup_session_with_cookies(driver) + links = WebDriverWait(driver, 30).until(EC.presence_of_all_elements_located((By.CSS_SELECTOR, "a[href*='mod/videoservice/view.php/cm']"))) + hrefs = [link.get_attribute('href') for link in links] + + for href in hrefs: + driver.get(href) + try: + WebDriverWait(driver, 20).until(EC.presence_of_element_located((By.CSS_SELECTOR, "h3[data-v-f62d1a84]"))) + lecture_title_element = WebDriverWait(driver, 10).until(EC.visibility_of_element_located((By.CSS_SELECTOR, "h3[data-v-f62d1a84]"))) + lecture_name = lecture_title_element.text.strip().replace(' - ', '_').replace(' ', '_') + video_elements = WebDriverWait(driver, 20).until(EC.presence_of_all_elements_located((By.TAG_NAME, "video"))) + for i, video_element in enumerate(video_elements): + video_source_url = video_element.get_attribute('src') + if video_source_url: + download_and_extract_audio(session, video_source_url, lecture_name, i+1, href, processed_urls) + except TimeoutException: + print(f"Timeout or element not found on page {href}.") + finally: + driver.quit() + +scrape_and_extract_audio("https://isis.tu-berlin.de/mod/videoservice/view.php/course/38479/browse") \ No newline at end of file diff --git a/indexing/DataSetup/transcribe.py b/indexing/DataSetup/transcribe.py new file mode 100644 index 0000000..e043782 --- /dev/null +++ b/indexing/DataSetup/transcribe.py @@ -0,0 +1,167 @@ +import whisper_timestamped as whisper #pip install -U git+https://github.com/linto-ai/whisper-timestampe +import os +import json +import time + +MODELSIZE = "small" +def transcribe_audio(file_path): + print("Called Transcribe_audio") + now = time.time() + audio = whisper.load_audio(file_path) + model = whisper.load_model(MODELSIZE) + print(f"Loading the audio and model took {time.time() - now} seconds") + now = time.time() + result = model.transcribe(file_path) + print(f"Transcription took {time.time() - now} seconds") + filename = os.path.basename(file_path) + filename_without_ext = os.path.splitext(filename)[0] + + # Create a dictionary with lecture and Timestamps + data = { + "lecture": filename_without_ext, + "Timestamps": clean_transcriptions(create_segment(result)) + } + + # Get the directory of the file + dir_path = os.path.dirname(file_path) + + # Define the path for the transcriptions.json file + json_file_path = os.path.join(dir_path, "transcriptions.json") + + # Check if the file exists, if not create it and write the data + if not os.path.exists(json_file_path): + with open(json_file_path, 'w') as f: + json.dump([data], f) # Enclose the data in a list + else: + # If the file exists, append the new data + with open(json_file_path, 'r+') as f: + existing_data = json.load(f) + existing_data.append(data) # Append the new data to the list + f.seek(0) + json.dump(existing_data, f) + + + +def create_segment(data): + new_segments = [] + current_segment = '' + segment_start = None # Initialize the start time of the current segment + for segment in data['segments']: + text = segment['text'] + if segment_start is None: # If this is the first segment in the new segment + segment_start = segment['start'] # Set the start time of the current segment + if len(current_segment + text) <= 400: + current_segment += ' ' + text + else: + last_period_index = current_segment.rfind('.') + if last_period_index != -1: + new_segments.append({ + 'text': current_segment[:last_period_index + 1], + 'start': segment_start, # Use the start time of the current segment + 'end': segment['end'] # Use the end time of the current segment + }) + current_segment = current_segment[last_period_index + 2:] + ' ' + text + else: + new_segments.append({ + 'text': current_segment, + 'start': segment_start, # Use the start time of the current segment + 'end': segment['end'] # Use the end time of the current segment + }) + current_segment = text + segment_start = None # Reset the start time for the next segment + if current_segment: + new_segments.append({ + 'text': current_segment, + 'start': segment_start, # Use the start time of the last segment + 'end': data['segments'][-1]['end'] # Use the end time of the last segment + }) + return new_segments +def clean_transcriptions(json_obj): + # Define the mapping of characters + mapping = { + 'ä': 'ae', + 'ö': 'oe', + 'ü': 'ue', + 'ß': 'ss', + 'Ä': 'Ae', + 'Ö': 'Oe', + 'Ü': 'Ue' + } + + # Check if json_obj is a list of dictionaries + if isinstance(json_obj, list) and all(isinstance(item, dict) for item in json_obj): + # Iterate over the items in the json object + for item in json_obj: + # Replace the characters in the 'text' field + for old_char, new_char in mapping.items(): + item['text'] = item['text'].replace(old_char, new_char) + else: + raise ValueError("json_obj must be a list of dictionaries with a 'text' key") + + return json_obj + +def clean_transcription_file(file_path): + # Load the existing data from the file + with open(file_path, 'r') as f: + data = json.load(f) + + # Parse the 'Timestamps' field into a list of dictionaries + timestamps = (data['Timestamps']) + + # Clean the transcriptions in the 'Timestamps' field + cleaned_transcriptions = clean_transcriptions(timestamps) + + # Replace the 'Timestamps' field with the cleaned transcriptions + data['Timestamps'] = cleaned_transcriptions + + # Write the cleaned data back to the file + with open(file_path, 'w') as f: + json.dump(data, f) + + +def transcribe_folder(folder_path, timeout=None): + # Define the path to the download_log.json file + # download_log_path = os.path.join(folder_path, 'download_log.json') + download_log_path = os.path.join(folder_path, 'rerunv1.json') + + # Load the data from the download_log.json file + with open(download_log_path, 'r') as f: + data = json.load(f) + + # Convert the timeout from hours to seconds, if specified + timeout_seconds = timeout * 60 * 60 if timeout else None + + # Get the current time + start_time = time.time() + + # Create a list to store the items that weren't processed + rerun_items = [] + + # Iterate over the items in the data + for item in data: + # Define the path to the audio file + audio_file_path = os.path.join(folder_path, item['Title']) + + # Check if the timeout has been exceeded + if timeout_seconds and time.time() - start_time > timeout_seconds: + # If the timeout has been exceeded, add the item to the rerun_items list + rerun_items.append(item) + print(f"Timeout reached. Remaining items will be added to rerun.json") + else: + print(f"Transcribing audio file:{item['Title']} with path: {audio_file_path}") + # Call transcribe_audio for the audio file + transcribe_audio(audio_file_path) + print(f"Transcription completed total time took: {(time.time() - start_time)/(60*60)} hours") + + # If there are any items that weren't processed, write them to the rerun.json file + if rerun_items: + rerun_file_path = os.path.join(folder_path, 'rerun.json') + with open(rerun_file_path, 'w') as f: + json.dump(rerun_items, f) +def main(): + # Define the path to the audio file + audio_file_path = 'F:\\MVA\\Video_Indexing\\AudioFiles\\Analina' + transcribe_folder(audio_file_path,0.5) + #transcribe_audio(r"F:\MVA\Video_Indexing\AudioFiles\Beko\Exkurs_Nichtdeterminismus_1.mp3") +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/indexing/VideoIndexing.md b/indexing/VideoIndexing.md new file mode 100644 index 0000000..b6f7f1a --- /dev/null +++ b/indexing/VideoIndexing.md @@ -0,0 +1,27 @@ +# Data Retrieval and Setup + +In this section, we will cover the steps required for data retrieval and setup in the video indexing process. This is old code, TutorAI used similar code on a larger scale to get transcriptions of 18 courses which where used the legacy code was used for local testing. + +1. **Gather the video data**: To gather the videos, a Webscraper was used. An old implementation can be found in `Datasetup/getmp3.py`. This file contains a function called `scrape_and_extract_audio(starturl)`. The `starturl` parameter should be an ISIS link ending with something like `course/COURSE#/browse`, where `COURSE#` is a 5-digit course code associated with a course. + +To use the script, follow these steps: +- Install the Chrome driver. +- install the imports +- Set the url to desired url +- Run the code +- Open the login page in the Chrome driver. +- Login using your TUB details. +- Click Enter in the terminal window where you started `getmp3.py`. + +This script will save all the videos associated with that ISIS course as .mp3 files. + +2. **Transcribe** U Ue command pipistal -U git+https://github.com/linto-ai/whisper-timestamped to nsall hisper timestamped. This is the main libray use togenerte timestamped transcriptions of the lectures. Change the audio path variable to the folder of which you want to transcribe the videos. + +3. **Generate Embeddings** To do this look at the create vector json function in loadqdrant.py this function takes a folderpath and a course. This implementation is based on the data generated by tutorai. In their implementation they generate a download log with objects title and website. Title is formatted something along the lines course# video_number. Website is the link to the video on the isis website. It is assumed that the video with name title is in the folder course#. The commented out code in loadqdrant.py might be useful to look at to see how exactly this is done. By the end a list of course#.json files is generated with a list of timestamped transcriptions and their website. + +4**Loading into Qdrant** Use the quickstat documentation(https://qdrant.tech/documentation/quick-start/) to pull the dockerized version of qdrant. After running the container loading the data should be relatively easy look at the createcollection() function + + +# Running the Endpoint + +To run the endpoint run fastapi_index.py you can test the enpoint with something like: curl -X POST "http://localhost:8047/vidindex/Was%20ist%20der%20unterschied%20zwischen%20NP%20und%20NP%20vollst%C3%A4ndig%3F" From 361b81527a23b0144babe26479cf136de64dfae4 Mon Sep 17 00:00:00 2001 From: PP GPU Server Date: Fri, 5 Jul 2024 20:48:40 +0000 Subject: [PATCH 36/59] incorporated indexing into the backend architecture --- indexing/fastapi_index.py | 14 +++++++++----- indexing/loadqdrant.py | 2 +- server/function_calling/fastapi_llama3.py | 21 ++++++++++++++------- 3 files changed, 24 insertions(+), 13 deletions(-) diff --git a/indexing/fastapi_index.py b/indexing/fastapi_index.py index e75ca67..890c86e 100644 --- a/indexing/fastapi_index.py +++ b/indexing/fastapi_index.py @@ -3,16 +3,20 @@ import uvicorn import os import loadqdrant +from pydantic import BaseModel app = FastAPI() +class UserInput(BaseModel): + user_input: str + @app.get("/") async def root(): return RedirectResponse(url="/docs") -@app.post("/vidindex/{user_input}") -async def vidindex(user_input: str): - response = loadqdrant.queryCollection(user_input, 'MVA') - return {'message': response} +@app.post("/vidindex") +async def vidindex(input_data: UserInput): + output = loadqdrant.queryCollection(input_data.user_input, 'MVA') + return {"message": output} if __name__ == "__main__": - uvicorn.run(app, port=8047) + uvicorn.run(app,host="0.0.0.0", port=8047) diff --git a/indexing/loadqdrant.py b/indexing/loadqdrant.py index fc225d7..941b268 100644 --- a/indexing/loadqdrant.py +++ b/indexing/loadqdrant.py @@ -133,7 +133,7 @@ def queryCollection(query,collection): outstring = "" first = True for res in search_results: - if res.score>0.65 and res.payload['course'] not in visited: + if res.score>0.60 and res.payload['course'] not in visited: results.append(res) visited.append(res.payload['course']) website = res.payload['lecture_link'] + '#@' + str(int(res.payload['start'])) diff --git a/server/function_calling/fastapi_llama3.py b/server/function_calling/fastapi_llama3.py index 6cf675d..93ab19e 100644 --- a/server/function_calling/fastapi_llama3.py +++ b/server/function_calling/fastapi_llama3.py @@ -1,13 +1,18 @@ import json import os # get the functions/classes from group b,c -from llama3 import LLama3 +# from llama3 import LLama3 from fastapi import FastAPI from starlette.responses import RedirectResponse +from pydantic import BaseModel +from requests import post + +class UserInput(BaseModel): + user_input: str app = FastAPI() -llamaModel = LLama3("Llama-3-8B-function-calling", "https://drive.google.com/drive/folders/1CJtn-3nCfQT3FU3pOgA3zTIdPLQ9n3x6?usp=sharing", "https://drive.google.com/drive/folders/1RmhIu2FXqwu4TxIQ9GpDtYb_IXWoVd7z?usp=sharing") +# llamaModel = LLama3("Llama-3-8B-function-calling", "https://drive.google.com/drive/folders/1CJtn-3nCfQT3FU3pOgA3zTIdPLQ9n3x6?usp=sharing", "https://drive.google.com/drive/folders/1RmhIu2FXqwu4TxIQ9GpDtYb_IXWoVd7z?usp=sharing") print("llama model loaded") @@ -15,11 +20,13 @@ async def root(): return RedirectResponse(url="/docs") -@app.post("/t2c/{user_input}") -async def t2c(user_input: str): - output = llamaModel.process_input(user_input) - return {"message": output} +@app.post("/t2c") +async def t2c(user_data: UserInput): + text = user_data.user_input + output = "Did you just ask " + text + "? You dumbass!" # llamaModel.process_input(user_input) + qdrant = post("http://108.181.203.191:8047/vidindex/", json={"user_input": text}) + return {"message": output, "qdrant": qdrant.json()["message"]} if __name__ == "__main__": import uvicorn - uvicorn.run(app, hostname="0.0.0.0", port=8007) + uvicorn.run(app, host="0.0.0.0", port=8007) From e4dfabb3a512751b2c5cc86b932a36b63a1cae31 Mon Sep 17 00:00:00 2001 From: PP GPU Server Date: Sat, 6 Jul 2024 14:44:57 +0000 Subject: [PATCH 37/59] added 'new' frontend. this is currently on the server --- .gitignore | 4 +- frontend/._.DS_Store | Bin 0 -> 212 bytes frontend/._.dockerignore | Bin 0 -> 212 bytes frontend/._.env | Bin 0 -> 212 bytes frontend/._.env.example | Bin 0 -> 212 bytes frontend/._.eslintrc.js | Bin 0 -> 212 bytes frontend/._.gitignore | Bin 0 -> 312 bytes frontend/._.npmrc | Bin 0 -> 212 bytes frontend/._.nvmrc | Bin 0 -> 212 bytes frontend/._.vscode | Bin 0 -> 255 bytes frontend/._Dockerfile | Bin 0 -> 255 bytes 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when you clone the repo. +# Keep this file up-to-date when you add new variables to \`.env\`. + +# This file will be committed to version control, so make sure not to have any secrets in it. +# If you are cloning this repo, create a copy of this file named `.env` and populate it with your secrets. + +# We use dotenv to load environment variables from a .env file into system environment variables. + +# Redis Database +DATABASE_URL="127.0.0.1:6379" + +# Public Firebase Config +NEXT_PUBLIC_API_KEY= +NEXT_PUBLIC_AUTH_DOMAIN= +NEXT_PUBLIC_PROJECT_ID= +NEXT_PUBLIC_STORAGE_BUCKET= +NEXT_PUBLIC_MESSAGING_SENDER_ID= +NEXT_PUBLIC_APP_ID= + +# Base URL for API requests +NEXT_PUBLIC_BASE_URL="http://localhost:3000" + +# Secret Firebase Config +FIREBASE_PROJECT_ID= +FIREBASE_CLIENT_EMAIL= +FIREBASE_PRIVATE_KEY= + +# Public Google Sign In Config (for Expo) +ANDROID_GOOGLE_CLIENT_ID= +IOS_GOOGLE_CLIENT_ID= +EXPO_GOOGLE_CLIENT_ID= + +# OpenAI Secret Credentials (for sample Speech-to-Text and Call-to-Action APIs) +OPENAI_API_KEY= + +# Spotify API Credentials +SPOTIFY_CLIENT_ID= +SPOTIFY_CLIENT_SECRET= +# Microservices URLs +SPEECH_TO_TEXT_URL="http://localhost:3001/speech-to-text" +COMMAND_TO_ACTION_URL="http://localhost:3001/command-to-action" +TEXT_TO_SPEECH_URL="http://localhost:3001/text-to-speech" + +# Chrome extension variables +CRX_ID= +CRX_GOOGLE_CLIENT_ID= +CRX_PUBLIC_KEY= +CRX_PRIVATE_KEY= \ No newline at end of file diff --git a/frontend/.eslintrc.js b/frontend/.eslintrc.js new file mode 100644 index 0000000..5e4d09f --- /dev/null +++ b/frontend/.eslintrc.js @@ -0,0 +1,22 @@ +/** @type {import("eslint").Linter.Config} */ +const config = { + root: true, + extends: ["@acme/eslint-config"], // uses the config in `packages/config/eslint` + parser: "@typescript-eslint/parser", + parserOptions: { + ecmaVersion: "latest", + tsconfigRootDir: __dirname, + project: [ + "./tsconfig.json", + "./apps/*/tsconfig.json", + "./packages/*/tsconfig.json", + ], + }, + settings: { + next: { + rootDir: ["apps/nextjs"], + }, + }, +}; + +module.exports = config; diff --git a/frontend/.gitignore b/frontend/.gitignore new file mode 100644 index 0000000..d35b3c5 --- /dev/null +++ b/frontend/.gitignore @@ -0,0 +1,57 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +node_modules +.pnp +.pnp.js + +# testing +coverage + +# database +**/prisma/db.sqlite +**/prisma/db.sqlite-journal + +# next.js +.next/ +out/ +next-env.d.ts + +# expo +.expo/ +dist/ + +# production +build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* + +# local env files +.env +.env*.local + +# vercel +.vercel + +# typescript +*.tsbuildinfo + +# turbo +.turbo + +# idea +.idea + +# firebase +service_account.json + +# python +__pycache__ diff --git a/frontend/.npmrc b/frontend/.npmrc new file mode 100644 index 0000000..db24b7f --- /dev/null +++ b/frontend/.npmrc @@ -0,0 +1,18 @@ +# Expo doesn't play nice with pnpm by default. +# The symbolic links of pnpm break the rules of Expo monorepos. +# @link https://docs.expo.dev/guides/monorepos/#common-issues +node-linker=hoisted + +# In order to cache Prisma correctly +public-hoist-pattern[]=*prisma* + +# FIXME: @prisma/client is required by the @acme/auth, +# but we don't want it installed there since it's already +# installed in the @acme/db package +strict-peer-dependencies=false + +# Prevent pnpm from adding the "workspace:"" prefix to local +# packages as it casues issues with manypkg +# @link https://pnpm.io/npmrc#prefer-workspace-packages +save-workspace-protocol=false +prefer-workspace-packages=true \ No newline at end of file diff --git a/frontend/.nvmrc b/frontend/.nvmrc new file mode 100644 index 0000000..25bf17f --- /dev/null +++ b/frontend/.nvmrc @@ -0,0 +1 @@ +18 \ No newline at end of file diff --git a/frontend/.vscode/._extensions.json b/frontend/.vscode/._extensions.json new file mode 100644 index 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} + ], + "typescript.tsdk": "node_modules/typescript/lib", + "typescript.enablePromptUseWorkspaceTsdk": true, + "tailwindCSS.experimental.configFile": "./packages/config/tailwind/index.ts" +} diff --git a/frontend/Dockerfile b/frontend/Dockerfile new file mode 100644 index 0000000..8a09ab9 --- /dev/null +++ b/frontend/Dockerfile @@ -0,0 +1,65 @@ +FROM node:18-alpine AS base + +ARG NEXT_PUBLIC_API_KEY +ARG NEXT_PUBLIC_AUTH_DOMAIN +ARG NEXT_PUBLIC_PROJECT_ID +ARG NEXT_PUBLIC_STORAGE_BUCKET +ARG NEXT_PUBLIC_MESSAGING_SENDER_ID +ARG NEXT_PUBLIC_APP_ID +ARG NEXT_PUBLIC_BASE_URL + +ENV NEXT_PUBLIC_API_KEY=$NEXT_PUBLIC_API_KEY +ENV NEXT_PUBLIC_AUTH_DOMAIN=$NEXT_PUBLIC_AUTH_DOMAIN +ENV NEXT_PUBLIC_PROJECT_ID=$NEXT_PUBLIC_PROJECT_ID +ENV NEXT_PUBLIC_STORAGE_BUCKET=$NEXT_PUBLIC_STORAGE_BUCKET +ENV NEXT_PUBLIC_MESSAGING_SENDER_ID=$NEXT_PUBLIC_MESSAGING_SENDER_ID +ENV NEXT_PUBLIC_APP_ID=$NEXT_PUBLIC_APP_ID +ENV NEXT_PUBLIC_BASE_URL=$NEXT_PUBLIC_BASE_URL + +RUN echo "Building with NEXT_PUBLIC_API_KEY='$NEXT_PUBLIC_API_KEY'" + +FROM base AS builder +RUN apk add --no-cache libc6-compat +RUN apk update +# Set working directory +WORKDIR /app +RUN npm i -g turbo +COPY . . +RUN turbo prune --scope=@acme/nextjs --docker + +# Add lockfile and package.json's of isolated subworkspace +FROM base AS installer +RUN apk add --no-cache libc6-compat +RUN apk update +WORKDIR /app +RUN corepack enable + +# First install the dependencies (as they change less often) +COPY --from=builder /app/out/json/ . +COPY --from=builder /app/out/pnpm-lock.yaml ./pnpm-lock.yaml +COPY --from=builder /app/out/pnpm-workspace.yaml ./pnpm-workspace.yaml +RUN pnpm install + +# Build the project +COPY --from=builder /app/tsconfig.json . +COPY --from=builder /app/out/full/ . +RUN pnpm turbo run build --filter=nextjs... + +FROM base AS runner +WORKDIR /app + +# Don't run production as root +RUN addgroup --system --gid 1001 nodejs +RUN adduser --system --uid 1001 nextjs +USER nextjs + +COPY --from=installer /app/apps/nextjs/next.config.mjs . +COPY --from=installer /app/apps/nextjs/package.json . + +# Automatically leverage output traces to reduce image size +# https://nextjs.org/docs/advanced-features/output-file-tracing +COPY --from=installer --chown=nextjs:nodejs /app/apps/nextjs/.next/standalone ./ +COPY --from=installer --chown=nextjs:nodejs /app/apps/nextjs/.next/static ./apps/nextjs/.next/static +COPY --from=installer --chown=nextjs:nodejs /app/apps/nextjs/public ./apps/nextjs/public + +CMD node apps/nextjs/server.js \ No newline at end of file diff --git a/frontend/LICENSE b/frontend/LICENSE new file mode 100644 index 0000000..435503e --- /dev/null +++ b/frontend/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2023 Julius Marminge + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/frontend/README.md b/frontend/README.md new file mode 100644 index 0000000..c2934d7 --- /dev/null +++ b/frontend/README.md @@ -0,0 +1,95 @@ +# BetterAlexa Monorepo + +## About + +Welcome to BetterAlexa monorepo, we use create t3 turbo to create this monorepo. +Implementation only supports chromium-browsers. + +## Architecture + +![Architecture](docs/static/BetterAlexa-architecture-drawio.png) + +## Folder structure + +```txt +.github + └─ workflows + └─ CI with pnpm cache setup +.vscode + └─ Recommended extensions and settings for VSCode users +apps + ├─ command-to-action + | ├─ Flask + | ├─ OpenAI GPT + | └─ Langchain / OpenAI Functioncalling + ├─ expo + | ├─ Expo SDK 48 + | ├─ React Native using React 18 + | ├─ Navigation using Expo Router + | ├─ Tailwind using Nativewind + | └─ Typesafe API calls using tRPC + ├─ next.js + | ├─ Next.js 13 + | ├─ React 18 + | ├─ Tailwind CSS + | └─ E2E Typesafe API Server & Client + └─ sample + ├─ Flask + ├─ Google Text2Speech + └─ OpenAI Whisper +packages + ├─ api + | └─ tRPC v10 router definition + ├─ auth + | └─ Authentication using Firebase Auth + └─ db + └─ Redis +``` + +## Quick Start + +To get it running, follow the steps below: + +### Setup dependencies + +```sh +# Install dependencies +pnpm i + +# Configure environment variables. +# There is an `.env.example` in the root directory you can use for reference +cp .env.example .env +``` + +## Deployment + +### Next.js + +#### Prerequisites + +We are using Redis as our database, and Firebase for our authentication. We're running everything on a VPS. + +- Create a [Redis DB](https://redis.io/docs/getting-started/installation/install-redis-on-linux/) on your VPS. +- Go to [Firebase Console](https://console.firebase.google.com/) and create a new Firebase project. + - Create 3 apps for your Firebase project, a Web app, an Android app, and an iOS app. For the Android and iOS app, you can just use the package name from the Expo app (com.mva.betteralexa), you also need to generate a SHA1 for the Android app later. + - Enable Firebase authentication with Google as a sign-in method. You can follow [this guide](https://firebase.google.com/docs/auth/web/google-signin) for this. We can add more sign-in method later. + - Create a Service Account for your Firebase project. You can follow [this guide](https://firebase.google.com/docs/admin/setup#initialize-sdk) for this. Download the credentials file and paste the config to the `.env` file in the root directory, match it with our `.env.example`. + - Get your Firebase config. You can follow [this guide](https://firebase.google.com/docs/web/setup#config-object) for this. Paste the config to the `.env` file in the root directory, match it with our `.env.example`. +- To generate SHA1 for Expo Google sign in, you need to have an expo account. Link the project to your account, and generate a credentials with `expo credentials` +- (OPTIONAL) if you want to use the current sample API, you need to have an OpenAI api key, paste it to the `.env` file in the root directory, match it with our `.env.example`. +- (OPTIONAL) if you want to use the spotify: + - Go to [Spotify Dashboard](https://developer.spotify.com/dashboard) and create an app + - put `SPOTIFY_CLIENT_ID` and `SPOTIFY_CLIENT_SECRET` in your `.env` + - If you dont want to use it, remove the tool from [cta](./apps/command-to-action/api/) + +## Development + +Use `pnpm dev` + +## Production + +Use `docker compose up` + +## References + +The stack originates from [create-t3-app](https://github.com/t3-oss/create-t3-app). diff --git a/frontend/apps/._.DS_Store b/frontend/apps/._.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..579056c4516cbfa1fecd88c7663815c930ba6dcb GIT binary patch literal 212 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b/frontend/apps/command-to-action/README.md @@ -0,0 +1,25 @@ +# Command to Action Microservice + +## Techstack + +- [Langchain](https://python.langchain.com/docs/get_started/introduction.html) / [OpenAI functions](https://openai.com/blog/function-calling-and-other-api-updates) +- [GPT](https://platform.openai.com/docs/api-reference/introduction) +- [Flask](https://flask.palletsprojects.com/en/2.3.x/) + +## Requirements + +Install the required dependencies listed on requirements.txt: `pip install -r requirements.txt` or `pnpm postinstall`.
+If you face issues make sure packages are installed (`pip show `). Also try to install with `python3 -m pip install -r requirements.txt`. + +## Deployment + +### Development + +`pnpm dev` + +### Production + +Isolated Deployment + +1. Build Dockerimage: `docker build -t cta` +2. Run: `docker run --env-file ../../.env cta` diff --git a/frontend/apps/command-to-action/api/._index.py b/frontend/apps/command-to-action/api/._index.py new file mode 100644 index 0000000000000000000000000000000000000000..bbb758c17486119415966dcb6d05359f097b7c88 GIT binary patch literal 212 zcmZQz6=P>$Vqox1Ojhs@R)|o50+1L3ClDI}@gg7w@vi_e5x_AdBnYYuq+J^qI7A5ADWagzZ6zUroSQuNInORsEB^nu92PdW_7G+wSnYg){ l8ao^6I=fn$>zWvt8R$Vqox1Ojhs@R)|o50+1L3ClDI}@gg7w@vi_e5x_AdBnYYuq+J^qI7A5ADWagzZ6zUroSQuNInORsEB^nu92PdW_7G+wSnYg){ l8ao^6I=fn$>zWvt8R$Vqox1Ojhs@R)|o50+1L3ClDI}@gg7w@vi_e5x_AdBnYYuq+J^qI7A5ADWagzZ6zUroSQuNInORsEB^nu92PdW_7G+wSnYg){ l8ao^6I=fn$>zWvt8R 1 and sys.argv[1] == "dev": + app.run(host="::", port=3002, debug=True) + else: + app.logger.info(" * Running command to action production server on port 3002") + serve(app, host="0.0.0.0", port=3002) diff --git a/frontend/apps/command-to-action/api/langchain_integration.py b/frontend/apps/command-to-action/api/langchain_integration.py new file mode 100644 index 0000000..0be2ca0 --- /dev/null +++ b/frontend/apps/command-to-action/api/langchain_integration.py @@ -0,0 +1,76 @@ +from langchain.agents import ZeroShotAgent, Tool, AgentExecutor, load_tools, initialize_agent, AgentType +from langchain.memory import ConversationBufferMemory +from langchain import LLMChain, LLMMathChain +from langchain.chat_models import ChatOpenAI +from langchain.tools import StructuredTool +from spotify import SpotifyPlayer + +import os + +class LangChainIntegration: + def __init__(self): + self.spotify_auth = None + + llm = ChatOpenAI(temperature=0) + tools = load_tools( + [], + llm=llm, + ) + spotify_tool = StructuredTool.from_function(self.spotify_player, return_direct=True) + llm_math_chain = LLMMathChain(llm=llm) + tools.extend([ + spotify_tool, + Tool( + name="Custom_Calculator", + func=llm_math_chain.run, + description="useful for when you need to answer questions about math", + return_direct=False + ) + ]) + + prefix = """Have a conversation with a human, answering the following questions as best you can. You have access to the following tools:""" + suffix = """Begin!" + + {chat_history} + Question: {input} + {agent_scratchpad}""" + + prompt = ZeroShotAgent.create_prompt( + tools, + prefix=prefix, + suffix=suffix, + input_variables=["input", "chat_history", "agent_scratchpad"] + ) + self.memory = ConversationBufferMemory(memory_key="chat_history") + self.llm_chain = LLMChain(llm=ChatOpenAI(temperature=0), prompt=prompt) + self.agent = ZeroShotAgent(llm_chain=self.llm_chain, tools=tools, verbose=True) + self.agent_chain = AgentExecutor.from_agent_and_tools(agent=self.agent, tools=tools, verbose=True, + memory=self.memory) + self.agent_executor = initialize_agent(tools=tools, llm=llm, agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION, + verbose=True) + + def spotify_player(self, song_title=None, artist_name=None, album_name=None, playlist_name=None): + """Lets you specify a song, artist, album, or playlist to play on Spotify. The input is passed as a simple string of the song title, artist name, album name, or playlist name without json formatting.""" + if self.spotify_auth == "undefined" or self.spotify_auth is None: + base_url = os.environ.get("NEXT_PUBLIC_BASE_URL") + return f"You need to authenticate with Spotify first. Go to {base_url}/spotify to do so." + try: + self.spotify_player = SpotifyPlayer(self.spotify_auth) + except Exception as e: + return f"Error: {e}" + if song_title and artist_name and song_title != "null" and artist_name != "null": + song_info = self.spotify_player.play_song_from_artist(song_title, artist_name) + return f"Playing {song_info['name']} by {song_info['artists'][0]['name']}" + if song_title and song_title != "null": + song_info = self.spotify_player.play_song(song_title) + return f"Playing {song_info['name']} by {song_info['artists'][0]['name']}" + if artist_name and artist_name != "null": + song_info = self.spotify_player.play_artist(artist_name) + return "Playing songs by " + artist_name + if album_name and album_name != "null": + song_info = self.spotify_player.play_album(album_name) + return "Playing the album " + album_name + if playlist_name and playlist_name != "null": + song_info = self.spotify_player.play_playlist(playlist_name) + return "Playing songs from the playlist " + playlist_name + diff --git a/frontend/apps/command-to-action/api/spotify.py b/frontend/apps/command-to-action/api/spotify.py new file mode 100644 index 0000000..0f9e02a --- /dev/null +++ b/frontend/apps/command-to-action/api/spotify.py @@ -0,0 +1,103 @@ +import spotify +import os + + +class SpotifyPlayer: + def __init__(self, auth): + self.auth = auth + self.sp = spotipy.Spotify(self.auth) + # Get the user's available devices + try: + self.devices = self.sp.devices() + except Exception as e: + if str(e).find("The access token expired") != -1: + base_url = os.environ.get("NEXT_PUBLIC_BASE_URL") + raise Exception( + f"Your Spotify access token has expired. Please reauthenticate at {base_url}/spotify." + ) + elif str(e).find("Invalid access token") != -1: + base_url = os.environ.get("NEXT_PUBLIC_BASE_URL") + raise Exception( + f"Invalid spotify access token, please go to {base_url}/spotify to reauthenticate." + ) + raise Exception("Can't get devices list: " + str(e)) + + # assuming the first device is the one we want + try: + self.device_id = self.devices["devices"][0]["id"] + if not self.device_id: + raise Exception( + "No device found, please make sure you have one connected" + ) + except Exception as e: + raise Exception("Can't get device id: " + str(e)) + + def play_song_from_artist(self, song_name, artist_name): + # Search for the song + results = self.sp.search( + q=f"track:{song_name} artist:{artist_name}", limit=1, type="track" + ) + + # Get the first song from the search results + song_uri = results["tracks"]["items"][0]["uri"] + + # Start playback + self.sp.start_playback(device_id=self.device_id, uris=[song_uri]) + return results["tracks"]["items"][0] + + def play_song(self, song_name): + # Search for the song + results = self.sp.search(q=song_name, limit=1, type="track") + + # Get the first song from the search results + song_uri = results["tracks"]["items"][0]["uri"] + + # Start playback + self.sp.start_playback(device_id=self.device_id, uris=[song_uri]) + return results["tracks"]["items"][0] + + def play_artist(self, artist_name): + # Search for the artist + results = self.sp.search(q=artist_name, limit=1, type="artist") + + # Get the first artist from the search results + artist_uri = results["artists"]["items"][0]["uri"] + + # Start playback + self.sp.start_playback(device_id=self.device_id, context_uri=artist_uri) + return results["artists"]["items"][0] + + def play_album_from_artist(self, album_name, artist_name): + # Search for the album + results = self.sp.search( + q=f"{album_name} artist:{artist_name}", limit=1, type="album" + ) + + # Get the first album from the search results + album_uri = results["albums"]["items"][0]["uri"] + + # Start playback + self.sp.start_playback(device_id=self.device_id, context_uri=album_uri) + return results["albums"]["items"][0] + + def play_album(self, album_name): + # Search for the album + results = self.sp.search(q=album_name, limit=1, type="album") + + # Get the first album from the search results + album_uri = results["albums"]["items"][0]["uri"] + + # Start playback + self.sp.start_playback(device_id=self.device_id, context_uri=album_uri) + return results["albums"]["items"][0] + + def play_playlist(self, playlist_name): + # Search for the playlist + results = self.sp.search(q=playlist_name, limit=1, type="playlist") + + # Get the first playlist from the search results + playlist_uri = results["playlists"]["items"][0]["uri"] + + # Start playback + self.sp.start_playback(device_id=self.device_id, context_uri=playlist_uri) + return results["playlists"]["items"][0] diff --git a/frontend/apps/command-to-action/package.json b/frontend/apps/command-to-action/package.json new file mode 100644 index 0000000..9d2b754 --- /dev/null +++ b/frontend/apps/command-to-action/package.json @@ -0,0 +1,14 @@ +{ + "name": "@acme/cta", + "version": "0.1.0", + "private": true, + "scripts": { + "postinstall": "pip install -r requirements.txt || pip3 install -r requirements.txt", + "start": "pnpm with-env node ./run.js api/index.py", + "dev": "pnpm with-env node ./run.js api/index.py dev", + "with-env": "dotenv -e ../../.env --" + }, + "devDependencies": { + "dotenv-cli": "^7.2.1" + } +} diff --git a/frontend/apps/command-to-action/requirements.txt b/frontend/apps/command-to-action/requirements.txt new file mode 100644 index 0000000..601c40c --- /dev/null +++ b/frontend/apps/command-to-action/requirements.txt @@ -0,0 +1,7 @@ +Flask +openai==0.27.8 +gTTS +langchain==0.0.234 +google-search-results +spotipy +waitress \ No newline at end of file diff --git a/frontend/apps/command-to-action/run.js b/frontend/apps/command-to-action/run.js new file mode 100644 index 0000000..cea7bfb --- /dev/null +++ b/frontend/apps/command-to-action/run.js @@ -0,0 +1,24 @@ +const { execSync, spawn } = require("node:child_process"); +const argv = process.argv.slice(2); +if (argv.length < 1) { + console.log("Usage: node start.js