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Northern-Thailand-Ping-Rive…/docs/PROJECT_STATUS.md
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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

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7.7 KiB
Markdown

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### **Outdated Documentation**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-`PROJECT_SUMMARY.md` - Outdated project information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