🚀 FastAPI Real-Time Data Processing API

High-performance asynchronous API built with FastAPI, featuring WebSocket support, Redis caching, and Prometheus monitoring.

✨ Features

• Async/Await throughout for maximum performance
• WebSocket support for real-time bidirectional communication
• Redis caching with automatic expiration
• Batch processing with concurrent execution
• Server-Sent Events for data streaming
• JWT authentication with role-based access
• Prometheus metrics for monitoring
• Docker Compose setup for easy deployment
• 100% type hints for better IDE support
• Comprehensive error handling

🏗️ Architecture

• FastAPI - Modern async web framework
• PostgreSQL + AsyncPG - Async database operations
• Redis - Caching and pub/sub
• Celery - Background task processing
• Prometheus - Metrics and monitoring
• Docker - Containerization

📊 Performance

• Handles 10,000+ requests/second on single instance
• Sub-100ms response time for cached requests
• Automatic horizontal scaling support
• Connection pooling for database and Redis

🚀 Quick Start

1. Clone the repository
2. Copy .env.example to .env
3. Run with Docker Compose:

   docker-compose up

4. Access API at http://localhost:8000
5. View docs at http://localhost:8000/docs

📡 API Endpoints

Data Processing

• POST /api/v1/data/process - Process single item
• POST /api/v1/data/batch - Batch processing (up to 1000 items)
• GET /api/v1/data/stream - Server-sent events stream

WebSocket

• WS /api/v1/ws/{client_id} - Real-time bidirectional communication

Monitoring

• GET /metrics - Prometheus metrics
• GET /api/v1/health - Health check

💻 Local Development

# Install dependencies
pip install -r requirements.txt

# Run tests
pytest

# Start server
uvicorn app.main:app --reload

📈 Load Testing Results

Running 30s test @ http://localhost:8000/api/v1/data/process
  12 threads and 400 connections
  Thread Stats   Avg      Stdev     Max   +/- Stdev
    Latency    38.42ms   12.31ms  203.44ms   89.23%
    Req/Sec   872.34    134.22     1.43k    71.83%
  312,453 requests in 30.10s, 43.82MB read
Requests/sec:  10,381.53
Transfer/sec:      1.46MB

🔒 Security

• JWT token authentication
• Rate limiting per user
• Input validation with Pydantic
• SQL injection protection
• CORS configuration

📝 License

MIT