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| Author | SHA1 | Message | Date | |
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 grabowski
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1845ef7203 |
feat: hourly HII/ThaiWater rainfall + backup water-level collection
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Poll the open api-v3.thaiwater.net public endpoints (rain_24h, waterlevel_load), filter to the Ping basin, and persist to new hii_rain_stations/hii_rainfall and hii_wl_stations/hii_waterlevel tables (auto-created; sqlite/postgresql/mysql). Water levels stay in their own tables since HII reports m MSL from a different station set; rid_code maps mirrors like ridhydro_P.1 to P.1 and offset_msl converts MSL to gauge datum. Runs every scraping cycle in web-api and continuous modes (hourly cadence even during 1-minute RID retry), one-shot via --collect-hii; docs/DATA_SOURCES.md catalogs all probed endpoints. |
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grabowski
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af62cfef0b |
Initial commit: Northern Thailand Ping River Monitor v3.1.0
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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! |