docs: Revamp README and UI documentation; enhance CLI usage instructions and API configuration details
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ui/README.md
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ui/README.md
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# WiFi DensePose UI
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A modular, modern web interface for the WiFi DensePose human tracking system. This UI provides real-time monitoring, configuration, and visualization of WiFi-based pose estimation.
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## 🏗️ Architecture
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The UI follows a modular architecture with clear separation of concerns:
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```
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ui/
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├── app.js # Main application entry point
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├── index.html # Updated HTML with modular structure
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├── style.css # Complete CSS with additional styles
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├── config/ # Configuration modules
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│ └── api.config.js # API endpoints and configuration
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├── services/ # Service layer for API communication
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│ ├── api.service.js # HTTP API client
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│ ├── websocket.service.js # WebSocket client
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│ ├── pose.service.js # Pose estimation API wrapper
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│ ├── health.service.js # Health monitoring API wrapper
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│ └── stream.service.js # Streaming API wrapper
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├── components/ # UI components
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│ ├── TabManager.js # Tab navigation component
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│ ├── DashboardTab.js # Dashboard component with live data
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│ ├── HardwareTab.js # Hardware configuration component
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│ └── LiveDemoTab.js # Live demo with streaming
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├── utils/ # Utility functions and helpers
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│ └── mock-server.js # Mock server for testing
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└── tests/ # Comprehensive test suite
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├── test-runner.html # Test runner UI
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├── test-runner.js # Test framework and cases
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└── integration-test.html # Integration testing page
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```
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## 🚀 Features
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### Real-time Dashboard
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- Live system health monitoring
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- Real-time pose detection statistics
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- Zone occupancy tracking
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- System metrics (CPU, memory, disk)
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- API status indicators
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### Hardware Configuration
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- Interactive antenna array visualization
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- Real-time CSI data display
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- Configuration panels
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- Hardware status monitoring
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### Live Demo
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- WebSocket-based real-time streaming
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- Signal visualization
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- Pose detection visualization
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- Interactive controls
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### API Integration
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- Complete REST API coverage
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- WebSocket streaming support
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- Authentication handling
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- Error management
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- Request/response interceptors
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## 📋 API Coverage
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The UI integrates with all WiFi DensePose API endpoints:
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### Health Endpoints
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- `GET /health/health` - System health check
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- `GET /health/ready` - Readiness check
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- `GET /health/live` - Liveness check
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- `GET /health/metrics` - System metrics
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- `GET /health/version` - Version information
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### Pose Estimation
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- `GET /api/v1/pose/current` - Current pose data
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- `POST /api/v1/pose/analyze` - Trigger analysis
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- `GET /api/v1/pose/zones/{zone_id}/occupancy` - Zone occupancy
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- `GET /api/v1/pose/zones/summary` - All zones summary
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- `POST /api/v1/pose/historical` - Historical data
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- `GET /api/v1/pose/activities` - Recent activities
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- `POST /api/v1/pose/calibrate` - System calibration
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- `GET /api/v1/pose/stats` - Statistics
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### Streaming
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- `WS /api/v1/stream/pose` - Real-time pose stream
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- `WS /api/v1/stream/events` - Event stream
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- `GET /api/v1/stream/status` - Stream status
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- `POST /api/v1/stream/start` - Start streaming
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- `POST /api/v1/stream/stop` - Stop streaming
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- `GET /api/v1/stream/clients` - Connected clients
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- `DELETE /api/v1/stream/clients/{client_id}` - Disconnect client
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## 🧪 Testing
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### Test Runner
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Open `tests/test-runner.html` to run the complete test suite:
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```bash
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# Serve the UI directory on port 3000 (to avoid conflicts with FastAPI on 8000)
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cd /workspaces/wifi-densepose/ui
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python -m http.server 3000
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# Open http://localhost:3000/tests/test-runner.html
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```
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### Test Categories
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- **API Configuration Tests** - Configuration and URL building
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- **API Service Tests** - HTTP client functionality
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- **WebSocket Service Tests** - WebSocket connection management
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- **Pose Service Tests** - Pose estimation API wrapper
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- **Health Service Tests** - Health monitoring functionality
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- **UI Component Tests** - Component behavior and interaction
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- **Integration Tests** - End-to-end functionality
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### Integration Testing
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Use `tests/integration-test.html` for visual integration testing:
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```bash
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# Open http://localhost:3000/tests/integration-test.html
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```
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Features:
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- Mock server with realistic API responses
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- Visual testing of all components
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- Real-time data simulation
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- Error scenario testing
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- WebSocket stream testing
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## 🛠️ Usage
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### Basic Setup
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```html
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<!DOCTYPE html>
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<html>
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<head>
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<link rel="stylesheet" href="style.css">
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</head>
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<body>
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<div class="container">
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<!-- Your content -->
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</div>
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<script type="module" src="app.js"></script>
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</body>
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</html>
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```
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### Using Services
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```javascript
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import { poseService } from './services/pose.service.js';
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import { healthService } from './services/health.service.js';
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// Get current pose data
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const poseData = await poseService.getCurrentPose();
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// Subscribe to health updates
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healthService.subscribeToHealth(health => {
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console.log('Health status:', health.status);
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});
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// Start pose streaming
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poseService.startPoseStream({
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minConfidence: 0.7,
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maxFps: 30
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});
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poseService.subscribeToPoseUpdates(update => {
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if (update.type === 'pose_update') {
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console.log('New pose data:', update.data);
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}
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});
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```
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### Using Components
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```javascript
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import { TabManager } from './components/TabManager.js';
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import { DashboardTab } from './components/DashboardTab.js';
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// Initialize tab manager
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const container = document.querySelector('.container');
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const tabManager = new TabManager(container);
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tabManager.init();
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// Initialize dashboard
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const dashboardContainer = document.getElementById('dashboard');
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const dashboard = new DashboardTab(dashboardContainer);
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await dashboard.init();
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```
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## 🔧 Configuration
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### API Configuration
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Edit `config/api.config.js` to modify API settings:
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```javascript
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export const API_CONFIG = {
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BASE_URL: window.location.origin,
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API_VERSION: '/api/v1',
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// Rate limiting
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RATE_LIMITS: {
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REQUESTS_PER_MINUTE: 60,
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BURST_LIMIT: 10
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},
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// WebSocket configuration
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WS_CONFIG: {
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RECONNECT_DELAY: 5000,
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MAX_RECONNECT_ATTEMPTS: 5,
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PING_INTERVAL: 30000
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}
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};
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```
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### Authentication
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```javascript
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import { apiService } from './services/api.service.js';
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// Set authentication token
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apiService.setAuthToken('your-jwt-token');
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// Add request interceptor for auth
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apiService.addRequestInterceptor((url, options) => {
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// Modify request before sending
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return { url, options };
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});
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```
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## 🎨 Styling
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The UI uses a comprehensive CSS design system with:
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- CSS Custom Properties for theming
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- Dark/light mode support
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- Responsive design
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- Component-based styling
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- Smooth animations and transitions
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### Key CSS Variables
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```css
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:root {
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--color-primary: rgba(33, 128, 141, 1);
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--color-background: rgba(252, 252, 249, 1);
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--color-surface: rgba(255, 255, 253, 1);
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--color-text: rgba(19, 52, 59, 1);
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--space-16: 16px;
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--radius-lg: 12px;
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}
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```
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## 🔍 Monitoring & Debugging
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### Health Monitoring
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```javascript
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import { healthService } from './services/health.service.js';
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// Start automatic health checks
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healthService.startHealthMonitoring(30000); // Every 30 seconds
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// Check if system is healthy
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const isHealthy = healthService.isSystemHealthy();
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// Get specific component status
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const apiStatus = healthService.getComponentStatus('api');
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```
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### Error Handling
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```javascript
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// Global error handling
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window.addEventListener('error', (event) => {
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console.error('Global error:', event.error);
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});
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// API error handling
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apiService.addResponseInterceptor(async (response, url) => {
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if (!response.ok) {
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console.error(`API error: ${response.status} for ${url}`);
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}
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return response;
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});
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```
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## 🚀 Deployment
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### Development
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```bash
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# First, start your FastAPI backend (runs on port 8000)
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wifi-densepose start
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# or from the main project directory:
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python -m wifi_densepose.main
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# Then, start the UI server on a different port to avoid conflicts
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cd /workspaces/wifi-densepose/ui
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python -m http.server 3000
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# or
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npx http-server . -p 3000
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# Open the UI at http://localhost:3000
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# The UI will connect to the FastAPI backend at http://localhost:8000
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```
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### Production
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1. Configure `API_CONFIG.BASE_URL` for your backend
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2. Set up HTTPS for WebSocket connections
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3. Configure authentication if required
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4. Optimize assets (minify CSS/JS)
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5. Set up monitoring and logging
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## 🤝 Contributing
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1. Follow the modular architecture
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2. Add tests for new functionality
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3. Update documentation
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4. Ensure TypeScript compatibility
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5. Test with mock server
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## 📄 License
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This project is part of the WiFi-DensePose system. See the main project LICENSE file for details.
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// API Configuration for WiFi-DensePose UI
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export const API_CONFIG = {
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BASE_URL: window.location.origin,
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BASE_URL: 'http://localhost:8000', // FastAPI backend port
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API_VERSION: '/api/v1',
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WS_PREFIX: 'ws://',
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WSS_PREFIX: 'wss://',
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@@ -105,7 +105,8 @@ export function buildWsUrl(endpoint, params = {}) {
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? API_CONFIG.WSS_PREFIX
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: API_CONFIG.WS_PREFIX;
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const host = window.location.host;
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// Use localhost:8000 for WebSocket connections to match FastAPI backend
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const host = 'localhost:8000';
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let url = `${protocol}${host}${endpoint}`;
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// Add query parameters
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39
ui/start-ui.sh
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#!/bin/bash
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# WiFi DensePose UI Startup Script
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# This script starts the UI on port 3000 to avoid conflicts with the FastAPI backend on port 8000
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echo "🚀 Starting WiFi DensePose UI..."
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echo ""
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echo "📋 Configuration:"
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echo " - UI Server: http://localhost:3000"
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echo " - Backend API: http://localhost:8000 (make sure it's running)"
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echo " - Test Runner: http://localhost:3000/tests/test-runner.html"
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echo " - Integration Tests: http://localhost:3000/tests/integration-test.html"
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echo ""
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# Check if port 3000 is already in use
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if lsof -Pi :3000 -sTCP:LISTEN -t >/dev/null ; then
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echo "⚠️ Port 3000 is already in use. Please stop the existing server or use a different port."
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echo " You can manually start with: python -m http.server 3001"
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exit 1
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fi
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# Check if FastAPI backend is running on port 8000
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if lsof -Pi :8000 -sTCP:LISTEN -t >/dev/null ; then
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echo "✅ FastAPI backend detected on port 8000"
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else
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echo "⚠️ FastAPI backend not detected on port 8000"
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echo " Please start it with: wifi-densepose start"
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echo " Or: python -m wifi_densepose.main"
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echo ""
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echo " The UI will still work with the mock server for testing."
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fi
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echo ""
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echo "🌐 Starting HTTP server on port 3000..."
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echo " Press Ctrl+C to stop"
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echo ""
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# Start the HTTP server
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python -m http.server 3000
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