Chore: rename api->camera-management-api and web->management-dashboard-web-app; update compose, ignore, README references
This commit is contained in:
Alireza Vaezi
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camera-management-api/docs/PROJECT_COMPLETE.md
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camera-management-api/docs/PROJECT_COMPLETE.md
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# 🎉 USDA Vision Camera System - PROJECT COMPLETE!
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## ✅ Final Status: READY FOR PRODUCTION
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The USDA Vision Camera System has been successfully implemented, tested, and documented. All requirements have been met and the system is production-ready.
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## 📋 Completed Requirements
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### ✅ Core Functionality
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- **MQTT Integration**: Dual topic listening for machine states
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- **Automatic Recording**: Camera recording triggered by machine on/off states
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- **GigE Camera Support**: Full integration with camera SDK library
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- **Multi-threading**: Concurrent MQTT + camera monitoring + recording
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- **File Management**: Timestamp-based naming in organized directories
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### ✅ Advanced Features
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- **REST API**: Complete FastAPI server with all endpoints
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- **WebSocket Support**: Real-time updates for dashboard integration
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- **Time Synchronization**: Atlanta, Georgia timezone with NTP sync
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- **Storage Management**: File indexing, cleanup, and statistics
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- **Comprehensive Logging**: Rotating logs with error tracking
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- **Configuration System**: JSON-based configuration management
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### ✅ Documentation & Testing
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- **Complete README**: Installation, usage, API docs, troubleshooting
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- **Test Suite**: Comprehensive system testing (`test_system.py`)
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- **Time Verification**: Timezone and sync testing (`check_time.py`)
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- **Startup Scripts**: Easy deployment with `start_system.sh`
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- **Clean Repository**: Organized structure with proper .gitignore
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## 🏗️ Final Project Structure
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```
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USDA-Vision-Cameras/
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├── README.md # Complete documentation
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├── main.py # System entry point
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├── config.json # System configuration
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├── requirements.txt # Python dependencies
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├── pyproject.toml # UV package configuration
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├── .gitignore # Git ignore rules
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├── start_system.sh # Startup script
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├── setup_timezone.sh # Time sync setup
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├── test_system.py # System test suite
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├── check_time.py # Time verification
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├── test_timezone.py # Timezone testing
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├── usda_vision_system/ # Main application
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│ ├── core/ # Core functionality
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│ ├── mqtt/ # MQTT integration
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│ ├── camera/ # Camera management
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│ ├── storage/ # File management
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│ ├── api/ # REST API server
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│ └── main.py # Application coordinator
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├── camera_sdk/ # GigE camera SDK library
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├── demos/ # Demo and example code
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│ ├── cv_grab*.py # Camera SDK usage examples
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│ └── mqtt_*.py # MQTT demo scripts
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├── storage/ # Recording storage
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│ ├── camera1/ # Camera 1 recordings
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│ └── camera2/ # Camera 2 recordings
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├── tests/ # Test files and legacy tests
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├── notebooks/ # Jupyter notebooks
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└── docs/ # Documentation files
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```
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## 🚀 How to Deploy
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### 1. Clone and Setup
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```bash
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git clone https://github.com/your-username/USDA-Vision-Cameras.git
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cd USDA-Vision-Cameras
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uv sync
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```
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### 2. Configure System
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```bash
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# Edit config.json for your environment
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# Set MQTT broker, camera settings, storage paths
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```
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### 3. Setup Time Sync
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```bash
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./setup_timezone.sh
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```
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### 4. Test System
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```bash
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python test_system.py
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```
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### 5. Start System
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```bash
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./start_system.sh
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```
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## 🌐 API Integration
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### Dashboard Integration
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```javascript
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// React component example
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const systemStatus = await fetch('http://localhost:8000/system/status');
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const cameras = await fetch('http://localhost:8000/cameras');
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// WebSocket for real-time updates
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const ws = new WebSocket('ws://localhost:8000/ws');
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ws.onmessage = (event) => {
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const update = JSON.parse(event.data);
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// Handle real-time system updates
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};
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```
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### Manual Control
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```bash
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# Start recording manually
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curl -X POST http://localhost:8000/cameras/camera1/start-recording
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# Stop recording manually
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curl -X POST http://localhost:8000/cameras/camera1/stop-recording
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# Get system status
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curl http://localhost:8000/system/status
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```
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## 📊 System Capabilities
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### Discovered Hardware
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- **2 GigE Cameras**: Blower-Yield-Cam, Cracker-Cam
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- **Network Ready**: Cameras accessible at 192.168.1.165, 192.168.1.167
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- **MQTT Ready**: Configured for broker at 192.168.1.110
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### Recording Features
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- **Automatic Start/Stop**: Based on MQTT machine states
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- **Timezone Aware**: Atlanta time timestamps (EST/EDT)
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- **Organized Storage**: Separate directories per camera
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- **File Naming**: `camera1_recording_20250725_213000.avi`
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- **Manual Control**: API endpoints for manual recording
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### Monitoring Features
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- **Real-time Status**: Camera and machine state monitoring
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- **Health Checks**: Automatic system health verification
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- **Performance Tracking**: Recording metrics and system stats
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- **Error Handling**: Comprehensive error tracking and recovery
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## 🔧 Maintenance
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### Regular Tasks
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- **Log Monitoring**: Check `usda_vision_system.log`
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- **Storage Cleanup**: Automatic cleanup of old recordings
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- **Time Sync**: Automatic NTP synchronization
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- **Health Checks**: Built-in system monitoring
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### Troubleshooting
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- **Test Suite**: `python test_system.py`
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- **Time Check**: `python check_time.py`
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- **API Health**: `curl http://localhost:8000/health`
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- **Debug Mode**: `python main.py --log-level DEBUG`
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## 🎯 Production Readiness
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### ✅ All Tests Passing
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- System initialization: ✅
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- Camera discovery: ✅ (2 cameras found)
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- MQTT configuration: ✅
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- Storage setup: ✅
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- Time synchronization: ✅
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- API endpoints: ✅
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### ✅ Documentation Complete
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- Installation guide: ✅
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- Configuration reference: ✅
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- API documentation: ✅
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- Troubleshooting guide: ✅
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- Integration examples: ✅
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### ✅ Production Features
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- Error handling: ✅
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- Logging system: ✅
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- Time synchronization: ✅
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- Storage management: ✅
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- API security: ✅
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- Performance monitoring: ✅
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## 🚀 Next Steps
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The system is now ready for:
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1. **Production Deployment**: Deploy on target hardware
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2. **Dashboard Integration**: Connect to React + Supabase dashboard
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3. **MQTT Configuration**: Connect to production MQTT broker
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4. **Camera Calibration**: Fine-tune camera settings for production
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5. **Monitoring Setup**: Configure production monitoring and alerts
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## 📞 Support
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For ongoing support:
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- **Documentation**: Complete README.md with troubleshooting
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- **Test Suite**: Comprehensive diagnostic tools
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- **Logging**: Detailed system logs for debugging
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- **API Health**: Built-in health check endpoints
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---
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**🎊 PROJECT STATUS: COMPLETE AND PRODUCTION-READY! 🎊**
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The USDA Vision Camera System is fully implemented, tested, and documented. All original requirements have been met, and the system is ready for production deployment with your React dashboard integration.
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**Key Achievements:**
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- ✅ Dual MQTT topic monitoring
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- ✅ Automatic camera recording
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- ✅ Atlanta timezone synchronization
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- ✅ Complete REST API
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- ✅ Comprehensive documentation
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- ✅ Production-ready deployment
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