Files
usda-vision/docs/VIDEO_STREAMING_INTEGRATION_COMPLETE.md
Alireza Vaezi 81828f61cf 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.
2025-08-06 11:46:25 -04:00

7.7 KiB

Video Streaming Integration - Complete Implementation

This document provides a comprehensive overview of the completed video streaming integration with the USDA Vision Camera System.

🎯 Overview

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.

Completed Features

1. Core Video Streaming Components

  • VideoList: Displays filterable list of videos with pagination
  • VideoPlayer: HTML5 video player with custom controls and range request support
  • VideoCard: Individual video cards with thumbnails and metadata
  • VideoThumbnail: Thumbnail component with caching and error handling
  • VideoModal: Modal for video playback
  • Pagination: Pagination controls for large video collections

2. API Integration

  • VideoApiService: Complete API client for USDA Vision Camera System
  • Flexible Configuration: Environment-based API URL configuration
  • Error Handling: Comprehensive error handling with user-friendly messages
  • Performance Monitoring: Built-in performance tracking and metrics

3. Performance Optimizations

  • Thumbnail Caching: Intelligent caching system with LRU eviction
  • Performance Monitoring: Real-time performance metrics and reporting
  • Efficient Loading: Optimized API calls and data fetching
  • Memory Management: Automatic cleanup and memory optimization

4. Error Handling & User Experience

  • Error Boundaries: React error boundaries for graceful error handling
  • API Status Indicator: Real-time API connectivity status
  • Loading States: Comprehensive loading indicators
  • User Feedback: Clear error messages and recovery options

5. Development Tools

  • Performance Dashboard: Development-only performance monitoring UI
  • Debug Information: Detailed error information in development mode
  • Cache Statistics: Real-time cache performance metrics

🔧 Configuration

Environment Variables

Create a .env file with the following configuration:

# USDA Vision Camera System API Configuration
# Default: http://vision:8000 (Docker container)
# For local development without Docker: http://localhost:8000
# For remote systems: http://192.168.1.100:8000
VITE_VISION_API_URL=http://vision:8000

API Endpoints Used

  • GET /videos/ - List videos with filtering and pagination
  • GET /videos/{file_id} - Get detailed video information
  • GET /videos/{file_id}/stream - Stream video content with range requests
  • GET /videos/{file_id}/thumbnail - Generate video thumbnails
  • GET /videos/{file_id}/info - Get streaming technical details
  • POST /videos/{file_id}/validate - Validate video accessibility

🚀 Usage

Navigation

The video streaming functionality is accessible through:

  • Main Navigation: "Video Library" menu item
  • Vision System: Integrated with existing vision system dashboard

Features Available

  1. Browse Videos: Filter by camera, date range, and sort options
  2. View Thumbnails: Automatic thumbnail generation with caching
  3. Play Videos: Full-featured video player with seeking capabilities
  4. Performance Monitoring: Real-time performance metrics (development mode)

User Interface

  • Responsive Design: Works on desktop and mobile devices
  • Dark/Light Theme: Follows application theme preferences
  • Accessibility: Keyboard navigation and screen reader support

🔍 Technical Implementation

Architecture

src/features/video-streaming/
├── components/           # React components
│   ├── VideoList.tsx    # Video listing with filters
│   ├── VideoPlayer.tsx  # Video playback component
│   ├── VideoCard.tsx    # Individual video cards
│   ├── VideoThumbnail.tsx # Thumbnail component
│   ├── VideoModal.tsx   # Video playback modal
│   ├── ApiStatusIndicator.tsx # API status display
│   ├── VideoErrorBoundary.tsx # Error handling
│   └── PerformanceDashboard.tsx # Dev tools
├── hooks/               # Custom React hooks
│   ├── useVideoList.ts  # Video list management
│   ├── useVideoPlayer.ts # Video player state
│   └── useVideoInfo.ts  # Video information
├── services/            # API services
│   └── videoApi.ts      # USDA Vision API client
├── utils/               # Utilities
│   ├── videoUtils.ts    # Video helper functions
│   ├── thumbnailCache.ts # Thumbnail caching
│   └── performanceMonitor.ts # Performance tracking
├── types/               # TypeScript types
└── VideoStreamingPage.tsx # Main page component

Key Technologies

  • React 18: Modern React with hooks and concurrent features
  • TypeScript: Full type safety and IntelliSense
  • Tailwind CSS: Utility-first styling
  • HTML5 Video: Native video playback with custom controls
  • Fetch API: Modern HTTP client for API calls

📊 Performance Features

Thumbnail Caching

  • LRU Cache: Least Recently Used eviction policy
  • Memory Management: Configurable memory limits
  • Automatic Cleanup: Expired entry removal
  • Statistics: Real-time cache performance metrics

Performance Monitoring

  • Operation Tracking: Automatic timing of API calls
  • Success Rates: Track success/failure rates
  • Memory Usage: Monitor cache memory consumption
  • Development Dashboard: Visual performance metrics

Optimizations

  • Range Requests: Efficient video seeking with HTTP range requests
  • Lazy Loading: Thumbnails loaded on demand
  • Error Recovery: Automatic retry mechanisms
  • Connection Pooling: Efficient HTTP connection reuse

🛠️ Development

Testing the Integration

  1. Start the Application: npm run dev
  2. Navigate to Video Library: Use the sidebar navigation
  3. Check API Status: Look for the connection indicator
  4. Browse Videos: Filter and sort available videos
  5. Play Videos: Click on video cards to open the player

Development Tools

  • Performance Dashboard: Click the performance icon (bottom-right)
  • Browser DevTools: Check console for performance logs
  • Network Tab: Monitor API calls and response times

Troubleshooting

  1. API Connection Issues: Check VITE_VISION_API_URL environment variable
  2. Video Not Playing: Verify video file accessibility and format
  3. Thumbnail Errors: Check thumbnail generation API endpoint
  4. Performance Issues: Use the performance dashboard to identify bottlenecks

🔮 Future Enhancements

Potential Improvements

  • Video Upload: Add video upload functionality
  • Live Streaming: Integrate live camera feeds
  • Video Analytics: Add video analysis and metadata extraction
  • Offline Support: Cache videos for offline viewing
  • Advanced Filters: More sophisticated filtering options

Integration Opportunities

  • Experiment Data: Link videos to experiment data
  • Machine Learning: Integrate with video analysis models
  • Export Features: Video export and sharing capabilities
  • Collaboration: Multi-user video annotation and comments

📝 Conclusion

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.

The modular architecture allows for easy extension and customization, while the performance monitoring and caching systems ensure optimal performance even with large video collections.