6 Commits

Include renames

Author	SHA1	Message	Date
grabowski	7e642555b4	chore: remove the Python service; Python is the training stack only ... Phase 4 of docs/RUST_REWRITE.md. Since 2026-10-18 ping-collector (rust/) collects, forecasts, notifies (ntfy + Matrix) and serves the website/API; nothing in production ran the Python service code any more. Removed (~17k lines): the FastAPI app (web_api, schemas, health_check, metrics, postgres_history, forecast_history, thaiwater), the Python RID collector and CLI (water_scraper_v3, main, run.py), the notifier and Matrix alerting (notify, alerting), the multi-backend adapters (SQLite, MySQL, InfluxDB, VictoriaMetrics) with demo databases, models/validators/exceptions/ logging/rate limiter, ml/skill.py (served by Rust now), the migration tooling (api_parity, collector_parity, e2e_notify, install_collector.sh, gen_notify_cases.py, spikes/rust-forecast), Docker/compose/Grafana files, sql/, the release workflow and the docs for all of that. Their tests went with them. Kept in Python: src/ml (training, evaluation harness, export; predict.py as the reference the Rust forecaster is tested against), the HII and RID-dam clients/stores for the archive backfills (their live collectors removed), the backfill scripts, retrain.sh + timer, forecast_parity.py. - PostgreSQL only: src/config.py is database_url() from POSTGRES_* / .env; the stores lost their sqlite/mysql branches (and the 2026-08 column migration). The database tests run against a throwaway schema from TEST_DATABASE_URL (tests/conftest.py pg_url, skipped without it), as the Rust tests do; CI gets a PostgreSQL service. 100 tests (66 without a DB). - The notifier settings moved from src/notify.py into src/ml/export.py; flood_config.json regenerates byte-identical. - tests/test_dashboard.py checks every path the dashboard fetches against ping-collector's router. - Dependencies: fastapi, uvicorn, pydantic, influxdb, pymysql, psutil, schedule, sphinx, pyinstaller, mypy, pytest-asyncio dropped; python-dotenv 1.1.1 explicit (it came in through uvicorn[standard]). - Formatting contract extended to scripts/ and tests/ (reformatted once). - scripts/install.sh is the one installer (fresh host or update, in place in a checkout without touching its ownership): binary, units, uv sync, .env defaults, removes the retired water-monitor.service and any old --alert-check cron job, dry run + forecast check, restart, readiness wait. - Docs, CLAUDE.md, CONTRIBUTING.md, .env.example, Makefile, unit comments and Rust doc comments updated to the Rust service.	2026-10-18 17:15:07 +07:00
grabowski	f6570ac10f	chore: declutter the repo ... Removes 26 tracked files that no longer describe or serve the running system, verified one by one against the whole repo (source, tests, docs, README, Makefile, Dockerfile, .gitea workflows, pyproject, packaging spec) plus dynamic-reference paths, before deletion. Root (11): one-off launch/setup write-ups from the project's first weeks that document events which never happened the way they describe — a github.com publication (the remote is self-hosted Gitea) and a 15-minute scheduler (the service runs hourly). Also .gitlab-ci.yml (unused, CI is .gitea/), .env.postgres and setup.py.backup (a placeholder env file and a backup in version control), and the PyInstaller packaging trio build_executable.py / build_simple.py / ping-river-monitor.spec, which bundled docs that no longer exist and is not how this deploys. docs (9): stale guides superseded by DATABASE_DEPLOYMENT_GUIDE, GITEA_WORKFLOWS, FLOOD_FORECASTING and DATA_SOURCES, plus two snapshots (PROJECT_STATUS, PROJECT_STRUCTURE) describing a 4-file src/ that is now 39. scripts (5): one-shot bootstrap tools already run — init_git.sh/.bat, generate_badges.py, migrate_geolocation.py, encode_password.py. Every inbound reference was fixed rather than left dangling: README doc index and migration section, three Makefile targets, the docs.yml summary step, and the GITEA_WORKFLOWS resource list. src/ is deliberately untouched. The audit proposed removing several live modules; verification showed those proposals were mis-scoped and would have broken production. .gitignore now covers the agent tooling dirs, model eval output and editor/shell leftovers — the working tree had collected 56 zero-byte files named after fragments of shell commands. 136 tests pass; production modules import clean.	2026-08-14 13:45:03 +07:00
grabowski	ae5d0a13d7	[verified] feat: add live river dashboard ... Add mapped river and ThaiWater sensor layers, PostgreSQL history charts, API endpoints, and dashboard tests.	2026-08-09 16:59:25 +07:00
grabowskiandClaude	ca730e484b	Add comprehensive Matrix alerting system with Grafana integration ... - Implement custom Python alerting system (src/alerting.py) with water level monitoring, data freshness checks, and Matrix notifications - Add complete Grafana Matrix alerting setup guide (docs/GRAFANA_MATRIX_SETUP.md) with webhook configuration, alert rules, and notification policies - Create Matrix quick start guide (docs/MATRIX_QUICK_START.md) for rapid deployment - Integrate alerting commands into main application (--alert-check, --alert-test) - Add Matrix configuration to environment variables (.env.example) - Update Makefile with alerting targets (alert-check, alert-test) - Enhance status command to show Matrix notification status - Support station-specific water level thresholds and escalation rules - Provide dual alerting approach: native Grafana alerts and custom Python system 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-09-26 16:18:02 +07:00
grabowskiandClaude	6c7c128b4d	Major refactor: Migrate to uv, add PostgreSQL support, and comprehensive tooling ... - **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>	2025-09-26 15:10:10 +07:00
grabowski	af62cfef0b	Initial commit: Northern Thailand Ping River Monitor v3.1.0 ... 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!	2025-08-12 15:40:24 +07:00