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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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3.3 KiB
Markdown

# Geolocation Migration Quick Start
This is a quick reference guide for updating a running Thailand Water Monitor system to add geolocation support for Grafana geomap.
## 🚀 **Quick Migration (5 minutes)**
### **Step 1: Stop Application**
```bash
# Stop the service (choose your method)
sudo systemctl stop water-monitor
# OR
docker stop water-monitor
# OR use Ctrl+C if running manually
```
### **Step 2: Backup Database**
```bash
# SQLite backup
cp water_monitoring.db water_monitoring.db.backup
# PostgreSQL backup
pg_dump water_monitoring > backup.sql
# MySQL backup
mysqldump water_monitoring > backup.sql
```
### **Step 3: Run Migration**
```bash
# Run the automated migration script
python migrate_geolocation.py
```
### **Step 4: Restart Application**
```bash
# Restart the service
sudo systemctl start water-monitor
# OR
docker start water-monitor
# OR
python water_scraper_v3.py
```
## ✅ **Expected Output**
```
2025-07-28 17:30:00,123 - INFO - Starting geolocation column migration...
2025-07-28 17:30:00,124 - INFO - Detected database type: SQLITE
2025-07-28 17:30:00,127 - INFO - Added latitude column
2025-07-28 17:30:00,128 - INFO - Added longitude column
2025-07-28 17:30:00,129 - INFO - Added geohash column
2025-07-28 17:30:00,133 - INFO - ✅ Migration completed successfully!
```
## 🗺️ **Verify Geolocation Works**
### **Check Database**
```bash
# SQLite
sqlite3 water_monitoring.db "SELECT station_code, latitude, longitude, geohash FROM stations WHERE station_code = 'P.1';"
# Expected output: P.1|15.6944|100.2028|w5q6uuhvfcfp25
```
### **Test Application**
```bash
# Run a test cycle
python water_scraper_v3.py --test
# Should complete without errors
```
## 🔧 **Grafana Setup**
### **Query for Geomap**
```sql
SELECT
s.latitude, s.longitude, s.station_code, s.english_name,
m.water_level, m.discharge_percent
FROM stations s
JOIN water_measurements m ON s.id = m.station_id
WHERE s.latitude IS NOT NULL
AND m.timestamp = (SELECT MAX(timestamp) FROM water_measurements WHERE station_id = s.id)
```
### **Geomap Configuration**
1. Create new panel → Select "Geomap"
2. Set **Latitude field**: `latitude`
3. Set **Longitude field**: `longitude`
4. Set **Color field**: `water_level`
5. Set **Size field**: `discharge_percent`
## 🚨 **Troubleshooting**
### **Database Locked**
```bash
sudo systemctl stop water-monitor
pkill -f water_scraper
sleep 5
python migrate_geolocation.py
```
### **Permission Error**
```bash
sudo chown $USER:$USER water_monitoring.db
chmod 664 water_monitoring.db
```
### **Missing Dependencies**
```bash
pip install psycopg2-binary pymysql
```
## 🔄 **Rollback (if needed)**
```bash
# Stop application
sudo systemctl stop water-monitor
# Restore backup
cp water_monitoring.db.backup water_monitoring.db
# Restart
sudo systemctl start water-monitor
```
## 📚 **More Information**
- **Full Guide**: See `GEOLOCATION_GUIDE.md`
- **Migration Script**: `migrate_geolocation.py`
- **Database Schema**: Updated with latitude, longitude, geohash columns
## 🎯 **What You Get**
-**P.1 Station** ready for geomap (Nawarat Bridge)
-**Database Schema** updated for all 16 stations
-**Grafana Compatible** data structure
-**Backward Compatible** - existing data preserved
**Total Time**: ~5 minutes for complete migration