# Python Backend Rewrite Complete ## Summary Successfully rewrote the Node.js/TypeScript backend to Python with VK Music integration. ## New Python Backend Structure ``` ├── main.py # Entry point - FastAPI app with uvicorn ├── requirements.txt # Python dependencies ├── setup.py # Environment setup script ├── backend/ │ ├── __init__.py │ ├── database.py # SQLAlchemy models and database connection │ ├── vkmusic.py # VK Music API integration (replaced SoundCloud) │ ├── api.py # FastAPI routes and endpoints │ └── bot.py # Telegram bot functionality ├── Dockerfile # Updated for Python └── .env # Environment variables (created by setup.py) ``` ## Key Changes Made 1. **Framework**: Express.js → FastAPI 2. **Music Service**: SoundCloud → VK Music (vk-api library) 3. **Database**: Direct PostgreSQL → SQLAlchemy ORM 4. **Bot**: node-telegram-bot-api → python-telegram-bot 5. **Audio Processing**: fluent-ffmpeg → subprocess + FFmpeg ## API Endpoints (Preserved) - `GET /` - Serve main HTML with cache-busting - `POST /api/search` - Search VK Music tracks - `POST /api/convert` - Convert audio to MP3 - `POST /api/telegram-send` - Send audio via Telegram - `GET /health` - Health check - `GET /downloads/{filename}` - Serve MP3 files ## Environment Variables Required - `DATABASE_URL` - PostgreSQL connection string - `VK_LOGIN` - VK account login - `VK_PASSWORD` - VK account password - `TELEGRAM_BOT_TOKEN` - Telegram bot token - `WEB_APP_URL` - Web app URL for bot - `PORT` - Server port (default: 8000) - `HOST` - Server host (default: 0.0.0.0) ## Setup Instructions 1. Run `python setup.py` to initialize environment 2. Update `.env` file with actual credentials 3. Install dependencies: `pip install -r requirements.txt` 4. Start server: `python main.py` 5. Access API at: http://localhost:8000 ## Docker Support Updated Dockerfile uses Python 3.11-slim with ffmpeg support. Ready for containerized deployment. ## Next Steps - Test VK Music integration with actual credentials - Update frontend if needed to work with new Python API - Deploy and test in production environment