Ruview/archive/v1/docs/api_reference.md

WiFi-DensePose API Reference

Table of Contents

1. Overview
2. Authentication
3. Base URL and Versioning
4. Request/Response Format
5. Error Handling
6. Rate Limiting
7. Pose Estimation API
8. System Management API
9. Health Check API
10. WebSocket API
11. Data Models
12. SDK Examples

Overview

The WiFi-DensePose API provides comprehensive access to WiFi-based human pose estimation capabilities. The API follows REST principles and supports both synchronous HTTP requests and real-time WebSocket connections.

Key Features

• RESTful Design: Standard HTTP methods and status codes
• Real-time Streaming: WebSocket support for live pose data
• Authentication: JWT-based authentication with role-based access
• Rate Limiting: Configurable rate limits to prevent abuse
• Comprehensive Documentation: OpenAPI/Swagger documentation
• Error Handling: Detailed error responses with actionable messages

API Capabilities

• Real-time pose estimation from WiFi CSI data
• Historical pose data retrieval and analysis
• System health monitoring and diagnostics
• Multi-zone occupancy tracking
• Activity recognition and analytics
• System configuration and calibration

Authentication

JWT Authentication

The API uses JSON Web Tokens (JWT) for authentication. Include the token in the Authorization header:

Authorization: Bearer <your-jwt-token>

Obtaining a Token

# Login to get JWT token
curl -X POST http://localhost:8000/api/v1/auth/login \
  -H "Content-Type: application/json" \
  -d '{
    "username": "your-username",
    "password": "your-password"
  }'

Response:

{
  "access_token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...",
  "token_type": "bearer",
  "expires_in": 86400
}

Token Refresh

# Refresh expired token
curl -X POST http://localhost:8000/api/v1/auth/refresh \
  -H "Authorization: Bearer <your-refresh-token>"

Public Endpoints

Some endpoints are publicly accessible without authentication:

• GET /api/v1/health/* - Health check endpoints
• GET /api/v1/version - Version information
• GET /docs - API documentation

Base URL and Versioning

Base URL

http://localhost:8000/api/v1

API Versioning

The API uses URL path versioning. Current version is v1.

Content Types

• Request: application/json
• Response: application/json
• WebSocket: application/json messages

Request/Response Format

Standard Response Format

{
  "data": {},
  "timestamp": "2025-01-07T10:00:00Z",
  "status": "success"
}

Error Response Format

{
  "error": {
    "code": "VALIDATION_ERROR",
    "message": "Invalid request parameters",
    "details": {
      "field": "confidence_threshold",
      "issue": "Value must be between 0.0 and 1.0"
    }
  },
  "timestamp": "2025-01-07T10:00:00Z",
  "status": "error"
}

Error Handling

HTTP Status Codes

Code	Description
200	Success
201	Created
400	Bad Request
401	Unauthorized
403	Forbidden
404	Not Found
409	Conflict
422	Validation Error
429	Rate Limited
500	Internal Server Error
503	Service Unavailable

Error Codes

Code	Description
VALIDATION_ERROR	Request validation failed
AUTHENTICATION_ERROR	Authentication failed
AUTHORIZATION_ERROR	Insufficient permissions
RESOURCE_NOT_FOUND	Requested resource not found
RATE_LIMIT_EXCEEDED	Rate limit exceeded
HARDWARE_ERROR	Hardware communication error
PROCESSING_ERROR	Pose processing error
CALIBRATION_ERROR	System calibration error

Rate Limiting

Default Limits

• Authenticated users: 1000 requests per hour
• Anonymous users: 100 requests per hour
• WebSocket connections: 10 concurrent per user

Rate Limit Headers

X-RateLimit-Limit: 1000
X-RateLimit-Remaining: 999
X-RateLimit-Reset: 1641556800

Rate Limit Response

{
  "error": {
    "code": "RATE_LIMIT_EXCEEDED",
    "message": "Rate limit exceeded. Try again in 60 seconds."
  }
}

Pose Estimation API

Get Current Pose Estimation

Get real-time pose estimation from WiFi signals.

GET /api/v1/pose/current

Query Parameters:

• zone_ids (array, optional): Specific zones to analyze
• confidence_threshold (float, optional): Minimum confidence (0.0-1.0)
• max_persons (integer, optional): Maximum persons to detect (1-50)
• include_keypoints (boolean, optional): Include keypoint data (default: true)
• include_segmentation (boolean, optional): Include segmentation masks (default: false)

Example Request:

curl "http://localhost:8000/api/v1/pose/current?confidence_threshold=0.7&max_persons=5" \
  -H "Authorization: Bearer <token>"

Response:

{
  "timestamp": "2025-01-07T10:00:00Z",
  "frame_id": "frame_12345",
  "persons": [
    {
      "person_id": "person_001",
      "confidence": 0.85,
      "bounding_box": {
        "x": 100,
        "y": 150,
        "width": 80,
        "height": 180
      },
      "keypoints": [
        {
          "name": "nose",
          "x": 140,
          "y": 160,
          "confidence": 0.9
        }
      ],
      "zone_id": "zone_001",
      "activity": "standing",
      "timestamp": "2025-01-07T10:00:00Z"
    }
  ],
  "zone_summary": {
    "zone_001": 1,
    "zone_002": 0
  },
  "processing_time_ms": 45.2
}

Analyze Pose Data

Trigger pose analysis with custom parameters.

POST /api/v1/pose/analyze

Request Body:

{
  "zone_ids": ["zone_001", "zone_002"],
  "confidence_threshold": 0.8,
  "max_persons": 10,
  "include_keypoints": true,
  "include_segmentation": false
}

Response: Same format as current pose estimation.

Get Zone Occupancy

Get current occupancy for a specific zone.

GET /api/v1/pose/zones/{zone_id}/occupancy

Path Parameters:

• zone_id (string): Zone identifier

Example Request:

curl "http://localhost:8000/api/v1/pose/zones/zone_001/occupancy" \
  -H "Authorization: Bearer <token>"

Response:

{
  "zone_id": "zone_001",
  "current_occupancy": 3,
  "max_occupancy": 10,
  "persons": [
    {
      "person_id": "person_001",
      "confidence": 0.85,
      "activity": "standing"
    }
  ],
  "timestamp": "2025-01-07T10:00:00Z"
}

Get Zones Summary

Get occupancy summary for all zones.

GET /api/v1/pose/zones/summary

Response:

{
  "timestamp": "2025-01-07T10:00:00Z",
  "total_persons": 5,
  "zones": {
    "zone_001": {
      "occupancy": 3,
      "max_occupancy": 10,
      "status": "normal"
    },
    "zone_002": {
      "occupancy": 2,
      "max_occupancy": 8,
      "status": "normal"
    }
  },
  "active_zones": 2
}

Get Historical Data

Retrieve historical pose estimation data.

POST /api/v1/pose/historical

Request Body:

{
  "start_time": "2025-01-07T00:00:00Z",
  "end_time": "2025-01-07T23:59:59Z",
  "zone_ids": ["zone_001"],
  "aggregation_interval": 300,
  "include_raw_data": false
}

Response:

{
  "query": {
    "start_time": "2025-01-07T00:00:00Z",
    "end_time": "2025-01-07T23:59:59Z",
    "zone_ids": ["zone_001"],
    "aggregation_interval": 300
  },
  "data": [
    {
      "timestamp": "2025-01-07T00:00:00Z",
      "average_occupancy": 2.5,
      "max_occupancy": 5,
      "total_detections": 150
    }
  ],
  "total_records": 288
}

Get Detected Activities

Get recently detected activities.

GET /api/v1/pose/activities

Query Parameters:

• zone_id (string, optional): Filter by zone
• limit (integer, optional): Maximum activities (1-100, default: 10)

Response:

{
  "activities": [
    {
      "activity": "walking",
      "person_id": "person_001",
      "zone_id": "zone_001",
      "confidence": 0.9,
      "timestamp": "2025-01-07T10:00:00Z",
      "duration_seconds": 15.5
    }
  ],
  "total_count": 1,
  "zone_id": "zone_001"
}

Calibrate System

Start system calibration process.

POST /api/v1/pose/calibrate

Response:

{
  "calibration_id": "cal_12345",
  "status": "started",
  "estimated_duration_minutes": 5,
  "message": "Calibration process started"
}

Get Calibration Status

Check calibration progress.

GET /api/v1/pose/calibration/status

Response:

{
  "is_calibrating": true,
  "calibration_id": "cal_12345",
  "progress_percent": 60,
  "current_step": "phase_sanitization",
  "estimated_remaining_minutes": 2,
  "last_calibration": "2025-01-06T15:30:00Z"
}

Get Pose Statistics

Get pose estimation statistics.

GET /api/v1/pose/stats

Query Parameters:

• hours (integer, optional): Hours of data to analyze (1-168, default: 24)

Response:

{
  "period": {
    "start_time": "2025-01-06T10:00:00Z",
    "end_time": "2025-01-07T10:00:00Z",
    "hours": 24
  },
  "statistics": {
    "total_detections": 1500,
    "average_confidence": 0.82,
    "unique_persons": 25,
    "average_processing_time_ms": 47.3,
    "zones": {
      "zone_001": {
        "detections": 800,
        "average_occupancy": 3.2
      }
    }
  }
}

System Management API

System Status

Get current system status.

GET /api/v1/system/status

Response:

{
  "status": "running",
  "uptime_seconds": 86400,
  "services": {
    "hardware": "healthy",
    "pose_estimation": "healthy",
    "streaming": "healthy"
  },
  "configuration": {
    "domain": "healthcare",
    "max_persons": 10,
    "confidence_threshold": 0.7
  },
  "timestamp": "2025-01-07T10:00:00Z"
}

Start System

Start the pose estimation system.

POST /api/v1/system/start

Request Body:

{
  "configuration": {
    "domain": "healthcare",
    "environment_id": "room_001",
    "calibration_required": true
  }
}

Stop System

Stop the pose estimation system.

POST /api/v1/system/stop

Restart System

Restart the system with new configuration.

POST /api/v1/system/restart

Get Configuration

Get current system configuration.

GET /api/v1/config

Update Configuration

Update system configuration.

PUT /api/v1/config

Request Body:

{
  "detection": {
    "confidence_threshold": 0.8,
    "max_persons": 8
  },
  "analytics": {
    "enable_fall_detection": true
  }
}

Health Check API

Comprehensive Health Check

Get detailed system health information.

GET /api/v1/health

Response:

{
  "status": "healthy",
  "timestamp": "2025-01-07T10:00:00Z",
  "uptime_seconds": 86400,
  "components": {
    "hardware": {
      "name": "Hardware Service",
      "status": "healthy",
      "message": "All routers connected",
      "last_check": "2025-01-07T10:00:00Z",
      "uptime_seconds": 86400,
      "metrics": {
        "connected_routers": 3,
        "csi_data_rate": 30.5
      }
    },
    "pose": {
      "name": "Pose Service",
      "status": "healthy",
      "message": "Processing normally",
      "last_check": "2025-01-07T10:00:00Z",
      "metrics": {
        "processing_rate": 29.8,
        "average_latency_ms": 45.2
      }
    }
  },
  "system_metrics": {
    "cpu": {
      "percent": 65.2,
      "count": 8
    },
    "memory": {
      "total_gb": 16.0,
      "available_gb": 8.5,
      "percent": 46.9
    },
    "disk": {
      "total_gb": 500.0,
      "free_gb": 350.0,
      "percent": 30.0
    }
  }
}

Readiness Check

Check if system is ready to serve requests.

GET /api/v1/ready

Response:

{
  "ready": true,
  "timestamp": "2025-01-07T10:00:00Z",
  "checks": {
    "hardware_ready": true,
    "pose_ready": true,
    "stream_ready": true,
    "memory_available": true,
    "disk_space_available": true
  },
  "message": "System is ready"
}

Liveness Check

Simple liveness check for load balancers.

GET /api/v1/live

Response:

{
  "status": "alive",
  "timestamp": "2025-01-07T10:00:00Z"
}

System Metrics

Get detailed system metrics.

GET /api/v1/metrics

Version Information

Get application version information.

GET /api/v1/version

Response:

{
  "name": "WiFi-DensePose API",
  "version": "1.0.0",
  "environment": "production",
  "debug": false,
  "timestamp": "2025-01-07T10:00:00Z"
}

WebSocket API

Connection

Connect to WebSocket endpoint:

const ws = new WebSocket('ws://localhost:8000/ws/pose/stream');

Authentication

Send authentication message after connection:

ws.send(JSON.stringify({
  type: 'auth',
  token: 'your-jwt-token'
}));

Subscribe to Pose Updates

ws.send(JSON.stringify({
  type: 'subscribe',
  channel: 'pose_updates',
  filters: {
    zone_ids: ['zone_001'],
    min_confidence: 0.7
  }
}));

Pose Data Message

{
  "type": "pose_data",
  "channel": "pose_updates",
  "data": {
    "timestamp": "2025-01-07T10:00:00Z",
    "frame_id": "frame_12345",
    "persons": [
      {
        "person_id": "person_001",
        "confidence": 0.85,
        "bounding_box": {
          "x": 100,
          "y": 150,
          "width": 80,
          "height": 180
        },
        "zone_id": "zone_001"
      }
    ]
  }
}

System Events

Subscribe to system events:

ws.send(JSON.stringify({
  type: 'subscribe',
  channel: 'system_events'
}));

Event Message

{
  "type": "system_event",
  "channel": "system_events",
  "data": {
    "event_type": "fall_detected",
    "person_id": "person_001",
    "zone_id": "zone_001",
    "confidence": 0.95,
    "timestamp": "2025-01-07T10:00:00Z"
  }
}

Data Models

PersonPose

{
  "person_id": "string",
  "confidence": 0.85,
  "bounding_box": {
    "x": 100,
    "y": 150,
    "width": 80,
    "height": 180
  },
  "keypoints": [
    {
      "name": "nose",
      "x": 140,
      "y": 160,
      "confidence": 0.9,
      "visible": true
    }
  ],
  "segmentation": {
    "mask": "base64-encoded-mask",
    "body_parts": ["torso", "left_arm", "right_arm"]
  },
  "zone_id": "zone_001",
  "activity": "standing",
  "timestamp": "2025-01-07T10:00:00Z"
}

Keypoint Names

Standard keypoint names following COCO format:

• nose, left_eye, right_eye, left_ear, right_ear
• left_shoulder, right_shoulder, left_elbow, right_elbow
• left_wrist, right_wrist, left_hip, right_hip
• left_knee, right_knee, left_ankle, right_ankle

Activity Types

Supported activity classifications:

• standing, sitting, walking, running, lying_down
• falling, jumping, bending, reaching, waving

Zone Configuration

{
  "zone_id": "zone_001",
  "name": "Living Room",
  "coordinates": {
    "x": 0,
    "y": 0,
    "width": 500,
    "height": 300
  },
  "max_occupancy": 10,
  "alerts_enabled": true,
  "privacy_level": "high"
}

SDK Examples

Python SDK

from wifi_densepose import WiFiDensePoseClient

# Initialize client
client = WiFiDensePoseClient(
    base_url="http://localhost:8000",
    api_key="your-api-key"
)

# Get current poses
poses = client.get_current_poses(
    confidence_threshold=0.7,
    max_persons=5
)

# Get historical data
history = client.get_historical_data(
    start_time="2025-01-07T00:00:00Z",
    end_time="2025-01-07T23:59:59Z",
    zone_ids=["zone_001"]
)

# Subscribe to real-time updates
def pose_callback(poses):
    print(f"Received {len(poses)} poses")

client.subscribe_to_poses(callback=pose_callback)

JavaScript SDK

import { WiFiDensePoseClient } from 'wifi-densepose-js';

// Initialize client
const client = new WiFiDensePoseClient({
  baseUrl: 'http://localhost:8000',
  apiKey: 'your-api-key'
});

// Get current poses
const poses = await client.getCurrentPoses({
  confidenceThreshold: 0.7,
  maxPersons: 5
});

// Subscribe to WebSocket updates
client.subscribeToPoses({
  onData: (poses) => {
    console.log(`Received ${poses.length} poses`);
  },
  onError: (error) => {
    console.error('WebSocket error:', error);
  }
});

cURL Examples

# Get current poses
curl -X GET "http://localhost:8000/api/v1/pose/current?confidence_threshold=0.7" \
  -H "Authorization: Bearer <token>" \
  -H "Content-Type: application/json"

# Start system
curl -X POST "http://localhost:8000/api/v1/system/start" \
  -H "Authorization: Bearer <token>" \
  -H "Content-Type: application/json" \
  -d '{
    "configuration": {
      "domain": "healthcare",
      "environment_id": "room_001"
    }
  }'

# Get zone occupancy
curl -X GET "http://localhost:8000/api/v1/pose/zones/zone_001/occupancy" \
  -H "Authorization: Bearer <token>"

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For more information, see:

• User Guide
• Deployment Guide
• Troubleshooting Guide
• Interactive API Documentation