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!
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# Thailand Water Monitor - Current Project Status
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## 📁 **Clean Project Structure**
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The project has been cleaned up and organized with the following structure:
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```
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water_level_monitor/
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├── 📄 .gitignore # Git ignore rules
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├── 📄 README.md # Main project documentation
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├── 📄 requirements.txt # Python dependencies
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├── 📄 config.py # Configuration management
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├── 📄 water_scraper_v3.py # Main application (15-min scheduler)
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├── 📄 database_adapters.py # Multi-database support
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├── 📄 demo_databases.py # Database demonstration
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├── 📄 Dockerfile # Container configuration
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├── 📄 docker-compose.victoriametrics.yml # VictoriaMetrics stack
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├── 📚 Documentation/
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│ ├── 📄 DATABASE_DEPLOYMENT_GUIDE.md # Multi-database setup guide
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│ ├── 📄 DEBIAN_TROUBLESHOOTING.md # Linux deployment guide
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│ ├── 📄 ENHANCED_SCHEDULER_GUIDE.md # 15-minute scheduler guide
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│ ├── 📄 GAP_FILLING_GUIDE.md # Data gap filling guide
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│ ├── 📄 HTTPS_CONFIGURATION.md # HTTPS setup guide
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│ └── 📄 VICTORIAMETRICS_SETUP.md # VictoriaMetrics guide
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└── 📁 grafana/ # Grafana configuration
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├── 📁 provisioning/
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│ ├── 📁 datasources/
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│ │ └── 📄 victoriametrics.yml # VictoriaMetrics data source
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│ └── 📁 dashboards/
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│ └── 📄 dashboard.yml # Dashboard provider config
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└── 📁 dashboards/
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└── 📄 water-monitoring-dashboard.json # Pre-built dashboard
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```
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## 🧹 **Files Removed During Cleanup**
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### **Old Data Files**
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- ❌ `thailand_water_data_v2.csv` - Old CSV export
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- ❌ `water_monitor.log` - Log file (regenerated automatically)
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- ❌ `water_monitoring.db` - SQLite database (recreated automatically)
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### **Outdated Documentation**
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- ❌ `FINAL_SUMMARY.md` - Contained references to non-existent v2 files
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- ❌ `PROJECT_SUMMARY.md` - Outdated project information
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### **System Files**
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- ❌ `__pycache__/` - Python compiled files directory
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## ✅ **Current Features**
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### **Enhanced 15-Minute Scheduler**
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- **Timing**: Runs every 15 minutes (1:00, 1:15, 1:30, 1:45, 2:00, etc.)
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- **Full Checks**: At :00 minutes (gap filling + data updates)
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- **Quick Checks**: At :15, :30, :45 minutes (data fetch only)
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- **Gap Filling**: Automatically fills missing historical data
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- **Data Updates**: Updates existing records when values change
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### **Multi-Database Support**
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- **VictoriaMetrics** (Recommended) - High-performance time-series
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- **InfluxDB** - Purpose-built time-series database
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- **PostgreSQL + TimescaleDB** - Relational with time-series optimization
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- **MySQL** - Traditional relational database
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- **SQLite** - Local development and testing
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### **Production Features**
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- **Docker Support**: Complete containerization
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- **Grafana Integration**: Pre-built dashboards
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- **HTTPS Configuration**: Secure deployment options
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- **Health Monitoring**: Comprehensive logging and error handling
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- **Gap Detection**: Automatic identification of missing data
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- **Retry Logic**: Database lock handling and network error recovery
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## 🚀 **Quick Start**
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### **1. Basic Setup (SQLite)**
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```bash
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cd water_level_monitor
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pip install -r requirements.txt
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python water_scraper_v3.py
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```
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### **2. VictoriaMetrics Setup**
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```bash
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# Start VictoriaMetrics + Grafana
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docker-compose -f docker-compose.victoriametrics.yml up -d
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# Configure environment
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export DB_TYPE=victoriametrics
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export VM_HOST=localhost
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export VM_PORT=8428
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# Run monitor
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python water_scraper_v3.py
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```
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### **3. Test Different Databases**
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```bash
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# Test all supported databases
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python demo_databases.py all
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# Test specific database
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python demo_databases.py victoriametrics
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```
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## 📊 **Data Collection**
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### **Station Coverage**
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- **16 Water Monitoring Stations** across Thailand
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- **Accurate Station Codes**: P.1, P.20, P.21, P.4A, P.5, P.67, P.75, P.76, P.77, P.81, P.82, P.84, P.85, P.87, P.92, P.103
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- **Bilingual Names**: Thai and English station identification
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### **Metrics Collected**
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- 🌊 **Water Level**: Measured in meters (m)
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- 💧 **Discharge**: Measured in cubic meters per second (cms)
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- 📊 **Discharge Percentage**: Relative to station capacity
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- ⏰ **Timestamp**: Hour 24 handling (midnight = 00:00 next day)
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### **Data Frequency**
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- **Every 15 Minutes**: Continuous monitoring
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- **~300+ Data Points**: Per collection cycle
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- **Automatic Gap Filling**: Historical data recovery
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- **Data Updates**: Changed values detection and correction
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## 🔧 **Command Line Tools**
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### **Main Application**
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```bash
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python water_scraper_v3.py # Run continuous monitoring
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python water_scraper_v3.py --test # Single test cycle
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python water_scraper_v3.py --help # Show help
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```
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### **Gap Management**
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```bash
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python water_scraper_v3.py --check-gaps [days] # Check for missing data
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python water_scraper_v3.py --fill-gaps [days] # Fill missing data gaps
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python water_scraper_v3.py --update-data [days] # Update existing data
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```
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### **Database Testing**
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```bash
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python demo_databases.py # SQLite demo
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python demo_databases.py victoriametrics # VictoriaMetrics demo
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python demo_databases.py all # Test all databases
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```
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## 📈 **Monitoring & Visualization**
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### **Grafana Dashboard**
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- **URL**: http://localhost:3000 (when using docker-compose)
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- **Username**: admin
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- **Password**: admin_password
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- **Features**: Time series charts, status tables, gauges, alerts
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### **VictoriaMetrics API**
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- **URL**: http://localhost:8428
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- **Health**: http://localhost:8428/health
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- **Metrics**: http://localhost:8428/metrics
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- **Query API**: http://localhost:8428/api/v1/query
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## 🛡️ **Security & Production**
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### **HTTPS Configuration**
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- Complete guide in `HTTPS_CONFIGURATION.md`
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- SSL certificate setup
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- Reverse proxy configuration
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- Security best practices
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### **Deployment Options**
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- **Docker**: Containerized deployment
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- **Systemd**: Linux service configuration
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- **Cloud**: AWS, GCP, Azure deployment guides
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- **Monitoring**: Health checks and alerting
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## 📚 **Documentation**
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### **Available Guides**
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1. **README.md** - Main project documentation
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2. **DATABASE_DEPLOYMENT_GUIDE.md** - Multi-database setup
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3. **ENHANCED_SCHEDULER_GUIDE.md** - 15-minute scheduler details
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4. **GAP_FILLING_GUIDE.md** - Data integrity and gap filling
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5. **DEBIAN_TROUBLESHOOTING.md** - Linux deployment troubleshooting
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6. **VICTORIAMETRICS_SETUP.md** - VictoriaMetrics configuration
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7. **HTTPS_CONFIGURATION.md** - Secure deployment setup
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### **Key Features Documented**
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- ✅ Installation and configuration
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- ✅ Multi-database support
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- ✅ 15-minute scheduling system
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- ✅ Gap filling and data integrity
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- ✅ Production deployment
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- ✅ Monitoring and troubleshooting
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- ✅ Security configuration
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## 🎯 **Project Status: PRODUCTION READY**
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The Thailand Water Monitor is now:
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- ✅ **Clean**: All old and redundant files removed
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- ✅ **Organized**: Clear project structure with proper documentation
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- ✅ **Enhanced**: 15-minute scheduling with gap filling
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- ✅ **Scalable**: Multi-database support with VictoriaMetrics
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- ✅ **Secure**: HTTPS configuration and security best practices
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- ✅ **Monitored**: Comprehensive logging and Grafana dashboards
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- ✅ **Documented**: Complete guides for all features and deployment options
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The project is ready for production deployment with professional-grade monitoring capabilities.
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