docs: Revamp README and UI documentation; enhance CLI usage instructions and API configuration details

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rUv
2025-06-07 13:40:52 +00:00
parent b15e2b7182
commit 6dd89f2ada
4 changed files with 602 additions and 13 deletions

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# WiFi DensePose UI
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.
## 🏗️ Architecture
The UI follows a modular architecture with clear separation of concerns:
```
ui/
├── app.js # Main application entry point
├── index.html # Updated HTML with modular structure
├── style.css # Complete CSS with additional styles
├── config/ # Configuration modules
│ └── api.config.js # API endpoints and configuration
├── services/ # Service layer for API communication
│ ├── api.service.js # HTTP API client
│ ├── websocket.service.js # WebSocket client
│ ├── pose.service.js # Pose estimation API wrapper
│ ├── health.service.js # Health monitoring API wrapper
│ └── stream.service.js # Streaming API wrapper
├── components/ # UI components
│ ├── TabManager.js # Tab navigation component
│ ├── DashboardTab.js # Dashboard component with live data
│ ├── HardwareTab.js # Hardware configuration component
│ └── LiveDemoTab.js # Live demo with streaming
├── utils/ # Utility functions and helpers
│ └── mock-server.js # Mock server for testing
└── tests/ # Comprehensive test suite
├── test-runner.html # Test runner UI
├── test-runner.js # Test framework and cases
└── integration-test.html # Integration testing page
```
## 🚀 Features
### Real-time Dashboard
- Live system health monitoring
- Real-time pose detection statistics
- Zone occupancy tracking
- System metrics (CPU, memory, disk)
- API status indicators
### Hardware Configuration
- Interactive antenna array visualization
- Real-time CSI data display
- Configuration panels
- Hardware status monitoring
### Live Demo
- WebSocket-based real-time streaming
- Signal visualization
- Pose detection visualization
- Interactive controls
### API Integration
- Complete REST API coverage
- WebSocket streaming support
- Authentication handling
- Error management
- Request/response interceptors
## 📋 API Coverage
The UI integrates with all WiFi DensePose API endpoints:
### Health Endpoints
- `GET /health/health` - System health check
- `GET /health/ready` - Readiness check
- `GET /health/live` - Liveness check
- `GET /health/metrics` - System metrics
- `GET /health/version` - Version information
### Pose Estimation
- `GET /api/v1/pose/current` - Current pose data
- `POST /api/v1/pose/analyze` - Trigger analysis
- `GET /api/v1/pose/zones/{zone_id}/occupancy` - Zone occupancy
- `GET /api/v1/pose/zones/summary` - All zones summary
- `POST /api/v1/pose/historical` - Historical data
- `GET /api/v1/pose/activities` - Recent activities
- `POST /api/v1/pose/calibrate` - System calibration
- `GET /api/v1/pose/stats` - Statistics
### Streaming
- `WS /api/v1/stream/pose` - Real-time pose stream
- `WS /api/v1/stream/events` - Event stream
- `GET /api/v1/stream/status` - Stream status
- `POST /api/v1/stream/start` - Start streaming
- `POST /api/v1/stream/stop` - Stop streaming
- `GET /api/v1/stream/clients` - Connected clients
- `DELETE /api/v1/stream/clients/{client_id}` - Disconnect client
## 🧪 Testing
### Test Runner
Open `tests/test-runner.html` to run the complete test suite:
```bash
# Serve the UI directory on port 3000 (to avoid conflicts with FastAPI on 8000)
cd /workspaces/wifi-densepose/ui
python -m http.server 3000
# Open http://localhost:3000/tests/test-runner.html
```
### Test Categories
- **API Configuration Tests** - Configuration and URL building
- **API Service Tests** - HTTP client functionality
- **WebSocket Service Tests** - WebSocket connection management
- **Pose Service Tests** - Pose estimation API wrapper
- **Health Service Tests** - Health monitoring functionality
- **UI Component Tests** - Component behavior and interaction
- **Integration Tests** - End-to-end functionality
### Integration Testing
Use `tests/integration-test.html` for visual integration testing:
```bash
# Open http://localhost:3000/tests/integration-test.html
```
Features:
- Mock server with realistic API responses
- Visual testing of all components
- Real-time data simulation
- Error scenario testing
- WebSocket stream testing
## 🛠️ Usage
### Basic Setup
```html
<!DOCTYPE html>
<html>
<head>
<link rel="stylesheet" href="style.css">
</head>
<body>
<div class="container">
<!-- Your content -->
</div>
<script type="module" src="app.js"></script>
</body>
</html>
```
### Using Services
```javascript
import { poseService } from './services/pose.service.js';
import { healthService } from './services/health.service.js';
// Get current pose data
const poseData = await poseService.getCurrentPose();
// Subscribe to health updates
healthService.subscribeToHealth(health => {
console.log('Health status:', health.status);
});
// Start pose streaming
poseService.startPoseStream({
minConfidence: 0.7,
maxFps: 30
});
poseService.subscribeToPoseUpdates(update => {
if (update.type === 'pose_update') {
console.log('New pose data:', update.data);
}
});
```
### Using Components
```javascript
import { TabManager } from './components/TabManager.js';
import { DashboardTab } from './components/DashboardTab.js';
// Initialize tab manager
const container = document.querySelector('.container');
const tabManager = new TabManager(container);
tabManager.init();
// Initialize dashboard
const dashboardContainer = document.getElementById('dashboard');
const dashboard = new DashboardTab(dashboardContainer);
await dashboard.init();
```
## 🔧 Configuration
### API Configuration
Edit `config/api.config.js` to modify API settings:
```javascript
export const API_CONFIG = {
BASE_URL: window.location.origin,
API_VERSION: '/api/v1',
// Rate limiting
RATE_LIMITS: {
REQUESTS_PER_MINUTE: 60,
BURST_LIMIT: 10
},
// WebSocket configuration
WS_CONFIG: {
RECONNECT_DELAY: 5000,
MAX_RECONNECT_ATTEMPTS: 5,
PING_INTERVAL: 30000
}
};
```
### Authentication
```javascript
import { apiService } from './services/api.service.js';
// Set authentication token
apiService.setAuthToken('your-jwt-token');
// Add request interceptor for auth
apiService.addRequestInterceptor((url, options) => {
// Modify request before sending
return { url, options };
});
```
## 🎨 Styling
The UI uses a comprehensive CSS design system with:
- CSS Custom Properties for theming
- Dark/light mode support
- Responsive design
- Component-based styling
- Smooth animations and transitions
### Key CSS Variables
```css
:root {
--color-primary: rgba(33, 128, 141, 1);
--color-background: rgba(252, 252, 249, 1);
--color-surface: rgba(255, 255, 253, 1);
--color-text: rgba(19, 52, 59, 1);
--space-16: 16px;
--radius-lg: 12px;
}
```
## 🔍 Monitoring & Debugging
### Health Monitoring
```javascript
import { healthService } from './services/health.service.js';
// Start automatic health checks
healthService.startHealthMonitoring(30000); // Every 30 seconds
// Check if system is healthy
const isHealthy = healthService.isSystemHealthy();
// Get specific component status
const apiStatus = healthService.getComponentStatus('api');
```
### Error Handling
```javascript
// Global error handling
window.addEventListener('error', (event) => {
console.error('Global error:', event.error);
});
// API error handling
apiService.addResponseInterceptor(async (response, url) => {
if (!response.ok) {
console.error(`API error: ${response.status} for ${url}`);
}
return response;
});
```
## 🚀 Deployment
### Development
```bash
# First, start your FastAPI backend (runs on port 8000)
wifi-densepose start
# or from the main project directory:
python -m wifi_densepose.main
# Then, start the UI server on a different port to avoid conflicts
cd /workspaces/wifi-densepose/ui
python -m http.server 3000
# or
npx http-server . -p 3000
# Open the UI at http://localhost:3000
# The UI will connect to the FastAPI backend at http://localhost:8000
```
### Production
1. Configure `API_CONFIG.BASE_URL` for your backend
2. Set up HTTPS for WebSocket connections
3. Configure authentication if required
4. Optimize assets (minify CSS/JS)
5. Set up monitoring and logging
## 🤝 Contributing
1. Follow the modular architecture
2. Add tests for new functionality
3. Update documentation
4. Ensure TypeScript compatibility
5. Test with mock server
## 📄 License
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
export const API_CONFIG = {
BASE_URL: window.location.origin,
BASE_URL: 'http://localhost:8000', // FastAPI backend port
API_VERSION: '/api/v1',
WS_PREFIX: 'ws://',
WSS_PREFIX: 'wss://',
@@ -105,7 +105,8 @@ export function buildWsUrl(endpoint, params = {}) {
? API_CONFIG.WSS_PREFIX
: API_CONFIG.WS_PREFIX;
const host = window.location.host;
// Use localhost:8000 for WebSocket connections to match FastAPI backend
const host = 'localhost:8000';
let url = `${protocol}${host}${endpoint}`;
// Add query parameters

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ui/start-ui.sh Executable file
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#!/bin/bash
# WiFi DensePose UI Startup Script
# This script starts the UI on port 3000 to avoid conflicts with the FastAPI backend on port 8000
echo "🚀 Starting WiFi DensePose UI..."
echo ""
echo "📋 Configuration:"
echo " - UI Server: http://localhost:3000"
echo " - Backend API: http://localhost:8000 (make sure it's running)"
echo " - Test Runner: http://localhost:3000/tests/test-runner.html"
echo " - Integration Tests: http://localhost:3000/tests/integration-test.html"
echo ""
# Check if port 3000 is already in use
if lsof -Pi :3000 -sTCP:LISTEN -t >/dev/null ; then
echo "⚠️ Port 3000 is already in use. Please stop the existing server or use a different port."
echo " You can manually start with: python -m http.server 3001"
exit 1
fi
# Check if FastAPI backend is running on port 8000
if lsof -Pi :8000 -sTCP:LISTEN -t >/dev/null ; then
echo "✅ FastAPI backend detected on port 8000"
else
echo "⚠️ FastAPI backend not detected on port 8000"
echo " Please start it with: wifi-densepose start"
echo " Or: python -m wifi_densepose.main"
echo ""
echo " The UI will still work with the mock server for testing."
fi
echo ""
echo "🌐 Starting HTTP server on port 3000..."
echo " Press Ctrl+C to stop"
echo ""
# Start the HTTP server
python -m http.server 3000