quixotic/.serena/memories/python_backend_rewrite_complete.md

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