Northern-Thailand-Ping-River-Monitor/docs/PROJECT_STATUS.md

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Outdated Documentation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• ❌ PROJECT_SUMMARY.md - Outdated project information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)

cd water_level_monitor
pip install -r requirements.txt
python water_scraper_v3.py

2. VictoriaMetrics Setup

# 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

# 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

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

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

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.