- Multi-stage Dockerfile with development and production modes
- Docker Compose with caddy-docker-proxy labels for HTTPS
- Domain configuration: DOMAIN=rentcache.l.supported.systems
- Comprehensive Makefile with development and production targets
- Support for external caddy network and Redis backend
- Health checks and proper volume management
- Environment configuration with .env file
Usage:
- make setup # Complete setup
- make dev # Development with hot reload
- make prod # Production deployment
- URL: https://rentcache.l.supported.systems
- Complete README.md with installation, usage, and cost savings examples
- Detailed INSTALLATION.md guide for all deployment scenarios
- Comprehensive USAGE.md with CLI and API examples
- Complete API.md reference for all endpoints
- Update pyproject.toml with correct git.supported.systems URLs
- Highlight 70-90% cost savings throughout documentation
- Professional documentation structure with cross-references
- Comprehensive FastAPI server proxying all Rentcast API endpoints
- Intelligent caching system with soft delete and stale-while-revalidate
- Multi-backend support (SQLite, Redis) with sophisticated cache management
- Rate limiting per API key and endpoint with exponential backoff
- Rich CLI for administration: API keys, cache management, health checks
- SQLAlchemy models: CacheEntry, APIKey, RateLimit, UsageStats
- Production middleware: CORS, compression, logging, error handling
- Health and metrics endpoints for monitoring
- Complete test suite (32% coverage, model tests passing)
- Cost management with usage tracking and estimation
Features:
- Mark cache invalid instead of delete for analytics
- Serve stale cache on API errors
- Per-endpoint TTL configuration
- Rich CLI with colors and tables
- Comprehensive monitoring and analytics
- Complete FastAPI proxy server with all Rentcast API endpoints
- Intelligent caching with SQLite backend and Redis support
- Rate limiting and usage tracking per API key
- CLI administration tools for key and cache management
- Comprehensive models with SQLAlchemy for persistence
- Health checks and metrics endpoints
- Production-ready configuration management
- Extensive test coverage with pytest and fixtures
- Rich CLI interface with click and rich libraries
- Soft delete caching strategy for analytics
- TTL-based cache expiration with endpoint-specific durations
- CORS, compression, and security middleware
- Structured logging with JSON format
- Cost tracking and estimation for API usage
- Background task support architecture
- Docker deployment ready
- Comprehensive documentation and setup instructions
