feat(video-streaming): add ApiStatusIndicator, PerformanceDashboard, VideoDebugger, and VideoErrorBoundary components
- Implemented ApiStatusIndicator to monitor video API connection status with health check functionality. - Created PerformanceDashboard for monitoring video streaming performance metrics in development mode. - Developed VideoDebugger for diagnosing video streaming issues with direct access to test video URLs. - Added VideoErrorBoundary to handle errors in video streaming components with user-friendly messages and recovery options. - Introduced utility functions for performance monitoring and thumbnail caching to optimize video streaming operations. - Added comprehensive tests for video streaming API connectivity and functionality.
This commit is contained in:
Alireza Vaezi
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docs/VIDEO_STREAMING_INTEGRATION_COMPLETE.md
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docs/VIDEO_STREAMING_INTEGRATION_COMPLETE.md
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# Video Streaming Integration - Complete Implementation
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This document provides a comprehensive overview of the completed video streaming integration with the USDA Vision Camera System.
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## 🎯 Overview
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The video streaming functionality has been successfully integrated into the Pecan Experiments React application, providing a complete video browsing and playback interface that connects to the USDA Vision Camera System API.
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## ✅ Completed Features
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### 1. Core Video Streaming Components
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- **VideoList**: Displays filterable list of videos with pagination
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- **VideoPlayer**: HTML5 video player with custom controls and range request support
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- **VideoCard**: Individual video cards with thumbnails and metadata
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- **VideoThumbnail**: Thumbnail component with caching and error handling
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- **VideoModal**: Modal for video playback
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- **Pagination**: Pagination controls for large video collections
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### 2. API Integration
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- **VideoApiService**: Complete API client for USDA Vision Camera System
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- **Flexible Configuration**: Environment-based API URL configuration
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- **Error Handling**: Comprehensive error handling with user-friendly messages
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- **Performance Monitoring**: Built-in performance tracking and metrics
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### 3. Performance Optimizations
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- **Thumbnail Caching**: Intelligent caching system with LRU eviction
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- **Performance Monitoring**: Real-time performance metrics and reporting
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- **Efficient Loading**: Optimized API calls and data fetching
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- **Memory Management**: Automatic cleanup and memory optimization
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### 4. Error Handling & User Experience
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- **Error Boundaries**: React error boundaries for graceful error handling
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- **API Status Indicator**: Real-time API connectivity status
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- **Loading States**: Comprehensive loading indicators
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- **User Feedback**: Clear error messages and recovery options
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### 5. Development Tools
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- **Performance Dashboard**: Development-only performance monitoring UI
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- **Debug Information**: Detailed error information in development mode
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- **Cache Statistics**: Real-time cache performance metrics
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## 🔧 Configuration
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### Environment Variables
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Create a `.env` file with the following configuration:
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```bash
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# USDA Vision Camera System API Configuration
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# Default: http://vision:8000 (Docker container)
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# For local development without Docker: http://localhost:8000
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# For remote systems: http://192.168.1.100:8000
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VITE_VISION_API_URL=http://vision:8000
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```
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### API Endpoints Used
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- `GET /videos/` - List videos with filtering and pagination
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- `GET /videos/{file_id}` - Get detailed video information
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- `GET /videos/{file_id}/stream` - Stream video content with range requests
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- `GET /videos/{file_id}/thumbnail` - Generate video thumbnails
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- `GET /videos/{file_id}/info` - Get streaming technical details
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- `POST /videos/{file_id}/validate` - Validate video accessibility
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## 🚀 Usage
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### Navigation
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The video streaming functionality is accessible through:
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- **Main Navigation**: "Video Library" menu item
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- **Vision System**: Integrated with existing vision system dashboard
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### Features Available
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1. **Browse Videos**: Filter by camera, date range, and sort options
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2. **View Thumbnails**: Automatic thumbnail generation with caching
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3. **Play Videos**: Full-featured video player with seeking capabilities
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4. **Performance Monitoring**: Real-time performance metrics (development mode)
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### User Interface
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- **Responsive Design**: Works on desktop and mobile devices
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- **Dark/Light Theme**: Follows application theme preferences
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- **Accessibility**: Keyboard navigation and screen reader support
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## 🔍 Technical Implementation
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### Architecture
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```
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src/features/video-streaming/
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├── components/ # React components
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│ ├── VideoList.tsx # Video listing with filters
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│ ├── VideoPlayer.tsx # Video playback component
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│ ├── VideoCard.tsx # Individual video cards
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│ ├── VideoThumbnail.tsx # Thumbnail component
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│ ├── VideoModal.tsx # Video playback modal
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│ ├── ApiStatusIndicator.tsx # API status display
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│ ├── VideoErrorBoundary.tsx # Error handling
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│ └── PerformanceDashboard.tsx # Dev tools
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├── hooks/ # Custom React hooks
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│ ├── useVideoList.ts # Video list management
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│ ├── useVideoPlayer.ts # Video player state
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│ └── useVideoInfo.ts # Video information
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├── services/ # API services
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│ └── videoApi.ts # USDA Vision API client
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├── utils/ # Utilities
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│ ├── videoUtils.ts # Video helper functions
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│ ├── thumbnailCache.ts # Thumbnail caching
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│ └── performanceMonitor.ts # Performance tracking
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├── types/ # TypeScript types
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└── VideoStreamingPage.tsx # Main page component
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```
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### Key Technologies
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- **React 18**: Modern React with hooks and concurrent features
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- **TypeScript**: Full type safety and IntelliSense
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- **Tailwind CSS**: Utility-first styling
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- **HTML5 Video**: Native video playback with custom controls
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- **Fetch API**: Modern HTTP client for API calls
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## 📊 Performance Features
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### Thumbnail Caching
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- **LRU Cache**: Least Recently Used eviction policy
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- **Memory Management**: Configurable memory limits
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- **Automatic Cleanup**: Expired entry removal
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- **Statistics**: Real-time cache performance metrics
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### Performance Monitoring
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- **Operation Tracking**: Automatic timing of API calls
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- **Success Rates**: Track success/failure rates
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- **Memory Usage**: Monitor cache memory consumption
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- **Development Dashboard**: Visual performance metrics
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### Optimizations
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- **Range Requests**: Efficient video seeking with HTTP range requests
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- **Lazy Loading**: Thumbnails loaded on demand
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- **Error Recovery**: Automatic retry mechanisms
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- **Connection Pooling**: Efficient HTTP connection reuse
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## 🛠️ Development
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### Testing the Integration
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1. **Start the Application**: `npm run dev`
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2. **Navigate to Video Library**: Use the sidebar navigation
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3. **Check API Status**: Look for the connection indicator
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4. **Browse Videos**: Filter and sort available videos
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5. **Play Videos**: Click on video cards to open the player
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### Development Tools
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- **Performance Dashboard**: Click the performance icon (bottom-right)
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- **Browser DevTools**: Check console for performance logs
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- **Network Tab**: Monitor API calls and response times
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### Troubleshooting
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1. **API Connection Issues**: Check VITE_VISION_API_URL environment variable
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2. **Video Not Playing**: Verify video file accessibility and format
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3. **Thumbnail Errors**: Check thumbnail generation API endpoint
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4. **Performance Issues**: Use the performance dashboard to identify bottlenecks
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## 🔮 Future Enhancements
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### Potential Improvements
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- **Video Upload**: Add video upload functionality
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- **Live Streaming**: Integrate live camera feeds
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- **Video Analytics**: Add video analysis and metadata extraction
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- **Offline Support**: Cache videos for offline viewing
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- **Advanced Filters**: More sophisticated filtering options
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### Integration Opportunities
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- **Experiment Data**: Link videos to experiment data
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- **Machine Learning**: Integrate with video analysis models
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- **Export Features**: Video export and sharing capabilities
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- **Collaboration**: Multi-user video annotation and comments
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## 📝 Conclusion
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The video streaming integration provides a robust, performant, and user-friendly interface for browsing and viewing videos from the USDA Vision Camera System. The implementation includes comprehensive error handling, performance optimizations, and development tools to ensure a smooth user experience and maintainable codebase.
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The modular architecture allows for easy extension and customization, while the performance monitoring and caching systems ensure optimal performance even with large video collections.
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