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Sema Translation API - Project Overview

🎯 Project Summary

Enterprise-grade translation API supporting 200+ languages with automatic language detection, built with FastAPI and powered by the consolidated sematech/sema-utils model repository.

📁 Project Structure 

backend/sema-api/
├── app/                        # Main application package
│   ├── main.py                # Application entry point & FastAPI instance
│   ├── api/v1/endpoints.py    # API route handlers (versioned)
│   ├── core/                  # Core configuration & setup
│   │   ├── config.py         # Settings management
│   │   ├── logging.py        # Structured logging setup
│   │   └── metrics.py        # Prometheus metrics definitions
│   ├── middleware/            # Custom middleware
│   │   └── request_middleware.py  # Request tracking & metrics
│   ├── models/schemas.py      # Pydantic data models
│   ├── services/translation.py    # Business logic & model management
│   └── utils/helpers.py       # Utility functions
├── tests/                     # Test suite
│   ├── test_model_download.py # Model download & loading tests
│   ├── test_api_client.py     # API endpoint tests
│   └── README.md              # Test documentation
├── Dockerfile                 # Multi-stage Docker build
├── requirements.txt           # Python dependencies
├── README.md                  # API documentation
├── ARCHITECTURE.md            # Technical architecture
└── PROJECT_OVERVIEW.md        # This file

🚀 Key Features

Core Translation

  • 200+ Language Support: Full FLORES-200 language codes
  • Automatic Language Detection: Optional source language detection
  • High Performance: CTranslate2 optimized inference
  • Character Tracking: Usage monitoring for billing/analytics

Enterprise Features

  • Rate Limiting: 60 requests/minute per IP
  • Request Tracking: Unique request IDs for debugging
  • Structured Logging: JSON logs for easy parsing
  • Prometheus Metrics: Comprehensive monitoring
  • Health Checks: System status monitoring

API Quality

  • Comprehensive Swagger UI: Interactive documentation
  • Type Safety: Full Pydantic validation
  • Versioned Endpoints: /api/v1/ for future compatibility
  • Error Handling: Graceful error responses
  • CORS Support: Cross-origin resource sharing

🔧 Technical Stack

Core Technologies

  • FastAPI: Modern Python web framework
  • CTranslate2: Optimized neural machine translation
  • SentencePiece: Subword tokenization
  • FastText: Language detection
  • HuggingFace Hub: Model repository integration

Monitoring & Observability

  • Prometheus: Metrics collection
  • Structlog: Structured JSON logging
  • SlowAPI: Rate limiting
  • Uvicorn: ASGI server

Development & Deployment

  • Docker: Multi-stage containerization
  • Pydantic: Data validation and settings
  • Pytest: Testing framework (ready)
  • HuggingFace Spaces: Cloud deployment

📊 API Endpoints

Health & Monitoring

Endpoint Method Description
/ GET Basic health check
/health GET Detailed health monitoring
/metrics GET Prometheus metrics
/docs GET Swagger UI documentation
/redoc GET ReDoc documentation

Translation

Endpoint Method Description
/translate POST Main translation endpoint
/api/v1/translate POST Versioned translation endpoint

🔒 Security & Reliability

Current Implementation

  • Input Validation: Comprehensive Pydantic validation
  • Rate Limiting: IP-based request limiting
  • Error Handling: Graceful error responses
  • Request Tracking: Unique IDs for debugging

Future-Ready Features

  • Authentication Framework: Ready for Supabase integration
  • Usage Analytics: Character count and request tracking
  • Audit Logging: Request/response logging

📈 Performance & Scalability

Optimization Features

  • Async/Await: Full asynchronous processing
  • Model Caching: Models loaded once at startup
  • Efficient Translation: CTranslate2 optimization
  • Connection Pooling: Ready for database integration

Monitoring Metrics

  • Request count by endpoint and status
  • Request duration histograms
  • Translation count by language pair
  • Character count tracking
  • Error count by type

🧪 Testing

Test Coverage

  • Model Tests: Download, loading, and translation pipeline
  • API Tests: All endpoints, error handling, performance
  • Integration Tests: End-to-end workflow validation

Test Commands 

# Model download and loading tests
cd tests && python test_model_download.py

# API endpoint tests (local)
cd tests && python test_api_client.py

# API endpoint tests (production)
cd tests && python test_api_client.py https://sematech-sema-api.hf.space

🚀 Deployment

Local Development 

cd backend/sema-api
pip install -r requirements.txt
uvicorn app.main:app --reload

Docker Development 

docker build -t sema-api .
docker run -p 8000:8000 sema-api

HuggingFace Spaces

  • Automatic deployment from git push
  • Multi-stage Docker build for optimization
  • Model pre-downloading for faster startup

🔮 Future Enhancements

Planned Features

  • Supabase Authentication: User management and API keys
  • Database Integration: Usage tracking and analytics
  • Redis Caching: Performance optimization
  • Advanced Monitoring: Grafana dashboards and alerting

Scaling Considerations

  • Load Balancing: Stateless design for horizontal scaling
  • Database Sharding: For high-volume usage tracking
  • CDN Integration: For global performance
  • Auto-scaling: Based on request volume

📝 Development Guidelines

Code Organization

  • Separation of Concerns: Clear module boundaries
  • Type Safety: Full type hints and Pydantic validation
  • Error Handling: Comprehensive exception management
  • Documentation: Inline docs and comprehensive README

Adding New Features

  1. Endpoints: Add to app/api/v1/endpoints.py
  2. Business Logic: Add to appropriate service in app/services/
  3. Data Models: Add to app/models/schemas.py
  4. Configuration: Add to app/core/config.py
  5. Tests: Add to tests/ directory

📞 Support & Maintenance

Documentation

  • API Docs: Available at /docs endpoint
  • Architecture: See ARCHITECTURE.md
  • Tests: See tests/README.md

Monitoring

  • Health: Monitor /health endpoint
  • Metrics: Scrape /metrics for Prometheus
  • Logs: Structured JSON logs for analysis

This project provides a solid foundation for a production-ready translation API that can scale and evolve with your needs.