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