- **Migration to uv package manager**: Replace pip/requirements with modern pyproject.toml
- Add pyproject.toml with complete dependency management
- Update all scripts and Makefile to use uv commands
- Maintain backward compatibility with existing workflows
- **PostgreSQL integration and migration tools**:
- Enhanced config.py with automatic password URL encoding
- Complete PostgreSQL setup scripts and documentation
- High-performance SQLite to PostgreSQL migration tool (91x speed improvement)
- Support for both connection strings and individual components
- **Executable distribution system**:
- PyInstaller integration for standalone .exe creation
- Automated build scripts with batch file generation
- Complete packaging system for end-user distribution
- **Enhanced data management**:
- Fix --fill-gaps command with proper method implementation
- Add gap detection and historical data backfill capabilities
- Implement data update functionality for existing records
- Add comprehensive database adapter methods
- **Developer experience improvements**:
- Password encoding tools for special characters
- Interactive setup wizards for PostgreSQL configuration
- Comprehensive documentation and migration guides
- Automated testing and validation tools
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Features:
- Real-time water level monitoring for Ping River Basin (16 stations)
- Coverage from Chiang Dao to Nakhon Sawan in Northern Thailand
- FastAPI web interface with interactive dashboard and station management
- Multi-database support (SQLite, MySQL, PostgreSQL, InfluxDB, VictoriaMetrics)
- Comprehensive monitoring with health checks and metrics collection
- Docker deployment with Grafana integration
- Production-ready architecture with enterprise-grade observability
CI/CD & Automation:
- Complete Gitea Actions workflows for CI/CD, security, and releases
- Multi-Python version testing (3.9-3.12)
- Multi-architecture Docker builds (amd64, arm64)
- Daily security scanning and dependency monitoring
- Automated documentation generation
- Performance testing and validation
Production Ready:
- Type safety with Pydantic models and comprehensive type hints
- Data validation layer with range checking and error handling
- Rate limiting and request tracking for API protection
- Enhanced logging with rotation, colors, and performance metrics
- Station management API for dynamic CRUD operations
- Comprehensive documentation and deployment guides
Technical Stack:
- Python 3.9+ with FastAPI and Pydantic
- Multi-database architecture with adapter pattern
- Docker containerization with multi-stage builds
- Grafana dashboards for visualization
- Gitea Actions for CI/CD automation
- Enterprise monitoring and alerting
Ready for deployment to B4L infrastructure!
