Anyone can now get push alerts on their phone without an account: the
monitor publishes to an ntfy server (one Go binary, ~30 MB RSS) and
subscribers pick topics in the free iOS/Android/web app.
Semantics are transitions, never state. One message when a gauge crosses
its warning or danger threshold, one all-clear when it drops back (0.10 m
hysteresis), nothing while it sits above. A three-day flood is two
messages; a quiet season is zero. Topics: ping-warning / ping-danger
(basin digest), ping-<station>-warning / -danger, ping-p1-outlook (opt-in:
model P(warning within 24 h) at P.1 rises through 50 %, clears below 25 %,
message says it is experimental), ping-status (feed stale >= 3 h /
recovered). Priority 5 on danger so it rings through Do Not Disturb.
src/notify.py runs once per collection cycle in the API process (leader
only, after the forecast precompute, same data the dashboard shows).
Last-sent state lives in a notification_state table so a restart never
re-sends; a failed publish leaves state untouched so the crossing is
retried next cycle instead of lost. Off unless NTFY_SERVER is set.
Dashboard: a "Get alerts" button (only when configured) opens a panel
with the server, per-topic cards, ntfy:// deep links and web links, app
store links and a disclaimer. EN + TH. GET /api/notifications feeds it.
scripts/install_ntfy.sh: .deb install, server.yml (loopback listen,
anonymous read, token-only write scoped to ping-*, 72 h cache, signup/
login/metrics off, tight visitor limits), systemd, user + token, .env.
Verified against ntfy 2.28.0: anon publish 403, token publish 200, token
on foreign topic 403, anon read 200, and a seeded crossing through the
real _notify_transitions path arrived in the topic with priority, tags,
click and action button. docs/NOTIFICATIONS.md has the deployment and
reverse-proxy notes. Tests: 10 for the state machine (159 total).
- 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>
- **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!
grabowski
