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API Specification

plans/phase1-specification/api-spec.md

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API Specification

WiFi-DensePose System

Document Information

  • Version: 1.0
  • Date: 2025-01-07
  • Project: InvisPose - WiFi-Based Dense Human Pose Estimation
  • Status: Draft

1. Introduction

1.1 Purpose

This document defines the complete API specification for the WiFi-DensePose system, including REST endpoints, WebSocket protocols, data models, authentication mechanisms, and external integration interfaces.

1.2 Scope

The API specification covers all programmatic interfaces for pose data access, system control, real-time streaming, external integrations, and authentication/authorization mechanisms.

1.3 API Overview

The system provides a comprehensive FastAPI-based REST interface with WebSocket streaming capabilities, supporting real-time pose data distribution, system management, and integration with external services including MQTT, webhooks, and Restream platforms.

2. REST API Endpoints

2.1 Pose Data Endpoints

2.1.1 Get Latest Pose Data

Endpoint: GET /pose/latest Description: Retrieve the most recent pose estimation results Authentication: Bearer token required

Response Format:

json
{
  "timestamp": "2025-01-07T04:46:32.123Z",
  "frame_id": 12345,
  "processing_time_ms": 45,
  "persons": [
    {
      "id": 1,
      "confidence": 0.87,
      "bounding_box": {
        "x": 120,
        "y": 80,
        "width": 200,
        "height": 400
      },
      "keypoints": [
        {
          "name": "nose",
          "x": 220,
          "y": 100,
          "confidence": 0.95
        }
      ],
      "dense_pose": {
        "body_parts": [
          {
            "part_id": 1,
            "part_name": "torso",
            "uv_coordinates": [[0.5, 0.3], [0.6, 0.4]],
            "confidence": 0.89
          }
        ]
      }
    }
  ],
  "metadata": {
    "environment_id": "room_001",
    "router_count": 3,
    "signal_quality": 0.82
  }
}

Error Responses:

  • 404: No pose data available
  • 503: System not initialized
  • 401: Authentication required

// TEST: Verify latest pose endpoint returns valid pose data structure // TEST: Confirm error handling for missing data scenarios // TEST: Validate authentication token requirements

2.1.2 Get Historical Pose Data

Endpoint: GET /pose/history Description: Retrieve historical pose data with filtering options Authentication: Bearer token required

Query Parameters:

  • start_time (optional): ISO 8601 timestamp for range start
  • end_time (optional): ISO 8601 timestamp for range end
  • limit (optional): Maximum number of records (default: 100, max: 1000)
  • person_id (optional): Filter by specific person ID
  • confidence_threshold (optional): Minimum confidence score (0.0-1.0)

Response Format:

json
{
  "poses": [
    {
      "timestamp": "2025-01-07T04:46:32.123Z",
      "persons": [...],
      "metadata": {...}
    }
  ],
  "pagination": {
    "total_count": 1500,
    "returned_count": 100,
    "has_more": true,
    "next_cursor": "eyJpZCI6MTIzNDV9"
  }
}

// TEST: Validate historical data retrieval with various filter combinations // TEST: Confirm pagination functionality works correctly // TEST: Verify time range filtering accuracy

2.1.3 Query Pose Data

Endpoint: POST /pose/query Description: Execute complex queries on pose data Authentication: Bearer token required

Request Body:

json
{
  "query": {
    "time_range": {
      "start": "2025-01-07T00:00:00Z",
      "end": "2025-01-07T23:59:59Z"
    },
    "filters": {
      "person_count": {"min": 1, "max": 5},
      "confidence": {"min": 0.7},
      "activity": ["walking", "standing"]
    },
    "aggregation": {
      "type": "hourly_summary",
      "metrics": ["person_count", "avg_confidence"]
    }
  }
}

Response Format:

json
{
  "results": [
    {
      "timestamp": "2025-01-07T10:00:00Z",
      "person_count": 3,
      "avg_confidence": 0.85,
      "activities": {
        "walking": 0.6,
        "standing": 0.4
      }
    }
  ],
  "query_metadata": {
    "execution_time_ms": 150,
    "total_records_scanned": 10000,
    "cache_hit": false
  }
}

// TEST: Verify complex query execution with multiple filters // TEST: Confirm aggregation calculations are accurate // TEST: Validate query performance within acceptable limits

2.2 System Control Endpoints

2.2.1 System Status

Endpoint: GET /system/status Description: Get comprehensive system health and status information Authentication: Bearer token required

Response Format:

json
{
  "status": "running",
  "uptime_seconds": 86400,
  "version": "1.0.0",
  "components": {
    "csi_receiver": {
      "status": "active",
      "data_rate_hz": 25.3,
      "packet_loss_rate": 0.02,
      "last_packet_time": "2025-01-07T04:46:32Z"
    },
    "neural_network": {
      "status": "active",
      "model_loaded": true,
      "inference_time_ms": 45,
      "gpu_utilization": 0.65
    },
    "tracking": {
      "status": "active",
      "active_tracks": 2,
      "track_quality": 0.89
    }
  },
  "hardware": {
    "cpu_usage": 0.45,
    "memory_usage": 0.62,
    "gpu_memory_usage": 0.78,
    "disk_usage": 0.23
  },
  "network": {
    "connected_routers": 3,
    "signal_strength": -45,
    "interference_level": 0.15
  }
}

// TEST: Verify system status endpoint returns accurate component states // TEST: Confirm hardware metrics are within expected ranges // TEST: Validate network status reflects actual router connectivity

2.2.2 Start System

Endpoint: POST /system/start Description: Start the pose estimation system Authentication: Bearer token required

Request Body:

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

Response Format:

json
{
  "status": "starting",
  "estimated_ready_time": "2025-01-07T04:47:00Z",
  "initialization_steps": [
    {
      "step": "hardware_initialization",
      "status": "in_progress",
      "progress": 0.3
    },
    {
      "step": "model_loading",
      "status": "pending",
      "progress": 0.0
    }
  ]
}

// TEST: Verify system startup sequence completes successfully // TEST: Confirm initialization steps progress correctly // TEST: Validate configuration parameters are applied

2.2.3 Stop System

Endpoint: POST /system/stop Description: Gracefully stop the pose estimation system Authentication: Bearer token required

Request Body:

json
{
  "force": false,
  "save_state": true
}

Response Format:

json
{
  "status": "stopping",
  "estimated_stop_time": "2025-01-07T04:47:30Z",
  "shutdown_steps": [
    {
      "step": "data_pipeline_stop",
      "status": "completed",
      "progress": 1.0
    },
    {
      "step": "model_unloading",
      "status": "in_progress",
      "progress": 0.7
    }
  ]
}

// TEST: Verify graceful system shutdown preserves data integrity // TEST: Confirm force stop functionality works when needed // TEST: Validate state saving during shutdown process

2.3 Configuration Management Endpoints

2.3.1 Get Configuration

Endpoint: GET /config Description: Retrieve current system configuration Authentication: Bearer token required

Response Format:

json
{
  "domain": "healthcare",
  "environment": {
    "id": "room_001",
    "name": "Patient Room 1",
    "calibration_timestamp": "2025-01-07T04:00:00Z"
  },
  "detection": {
    "confidence_threshold": 0.7,
    "max_persons": 5,
    "tracking_enabled": true
  },
  "alerts": {
    "fall_detection": {
      "enabled": true,
      "sensitivity": 0.8,
      "notification_delay_seconds": 5
    },
    "inactivity_detection": {
      "enabled": true,
      "threshold_minutes": 30
    }
  },
  "streaming": {
    "restream_enabled": false,
    "websocket_enabled": true,
    "mqtt_enabled": true
  }
}

// TEST: Verify configuration retrieval returns complete settings // TEST: Confirm domain-specific configurations are properly loaded // TEST: Validate configuration structure matches schema

2.3.2 Update Configuration

Endpoint: PUT /config Description: Update system configuration Authentication: Bearer token required

Request Body:

json
{
  "detection": {
    "confidence_threshold": 0.75,
    "max_persons": 3
  },
  "alerts": {
    "fall_detection": {
      "sensitivity": 0.9
    }
  }
}

Response Format:

json
{
  "status": "updated",
  "changes_applied": [
    "detection.confidence_threshold",
    "alerts.fall_detection.sensitivity"
  ],
  "restart_required": false,
  "validation_warnings": []
}

// TEST: Verify configuration updates are applied correctly // TEST: Confirm validation prevents invalid configuration values // TEST: Validate restart requirements are accurately reported

2.4 Domain-Specific Endpoints

2.4.1 Healthcare Analytics

Endpoint: GET /analytics/healthcare Description: Retrieve healthcare-specific analytics and insights Authentication: Bearer token required

Query Parameters:

  • period: Time period (hour, day, week, month)
  • metrics: Comma-separated list of metrics

Response Format:

json
{
  "period": "day",
  "date": "2025-01-07",
  "metrics": {
    "fall_events": {
      "count": 2,
      "events": [
        {
          "timestamp": "2025-01-07T14:30:15Z",
          "person_id": 1,
          "severity": "moderate",
          "response_time_seconds": 45
        }
      ]
    },
    "activity_summary": {
      "walking_minutes": 120,
      "sitting_minutes": 480,
      "lying_minutes": 360,
      "standing_minutes": 180
    },
    "mobility_score": 0.75
  }
}

// TEST: Verify healthcare analytics calculations are accurate // TEST: Confirm fall detection events are properly recorded // TEST: Validate activity classification metrics

2.4.2 Retail Analytics

Endpoint: GET /analytics/retail Description: Retrieve retail-specific analytics and insights Authentication: Bearer token required

Response Format:

json
{
  "period": "day",
  "date": "2025-01-07",
  "metrics": {
    "traffic": {
      "total_visitors": 245,
      "peak_hour": "14:00",
      "peak_count": 15,
      "average_dwell_time_minutes": 12.5
    },
    "zones": [
      {
        "zone_id": "entrance",
        "visitor_count": 245,
        "avg_dwell_time_minutes": 2.1
      },
      {
        "zone_id": "electronics",
        "visitor_count": 89,
        "avg_dwell_time_minutes": 8.7
      }
    ],
    "conversion_funnel": {
      "entrance": 245,
      "product_interaction": 156,
      "checkout": 67
    }
  }
}

// TEST: Verify retail traffic counting accuracy // TEST: Confirm zone analytics provide meaningful insights // TEST: Validate conversion funnel calculations

3. WebSocket Protocols

3.1 Real-Time Pose Streaming

3.1.1 Connection Establishment

Endpoint: ws://host:port/ws/pose Authentication: Token via query parameter or header

Connection Message:

json
{
  "type": "connection_established",
  "client_id": "client_12345",
  "server_time": "2025-01-07T04:46:32Z",
  "supported_protocols": ["pose_v1", "alerts_v1"]
}

3.1.2 Subscription Management

Subscribe to Pose Updates:

json
{
  "type": "subscribe",
  "channel": "pose_updates",
  "filters": {
    "min_confidence": 0.7,
    "person_ids": [1, 2, 3]
  }
}

Subscription Confirmation:

json
{
  "type": "subscription_confirmed",
  "channel": "pose_updates",
  "subscription_id": "sub_67890"
}

// TEST: Verify WebSocket connection establishment works correctly // TEST: Confirm subscription filtering functions as expected // TEST: Validate subscription management handles multiple channels

3.1.3 Pose Data Streaming

Pose Update Message:

json
{
  "type": "pose_update",
  "subscription_id": "sub_67890",
  "timestamp": "2025-01-07T04:46:32.123Z",
  "data": {
    "frame_id": 12345,
    "persons": [...],
    "metadata": {...}
  }
}

System Status Update:

json
{
  "type": "system_status",
  "timestamp": "2025-01-07T04:46:32Z",
  "status": {
    "processing_fps": 25.3,
    "active_persons": 2,
    "system_health": "good"
  }
}

// TEST: Verify pose data streaming maintains real-time performance // TEST: Confirm message ordering and delivery guarantees // TEST: Validate system status updates are timely and accurate

3.2 Alert Streaming

3.2.1 Alert Subscription

Subscribe to Alerts:

json
{
  "type": "subscribe",
  "channel": "alerts",
  "filters": {
    "alert_types": ["fall_detection", "intrusion"],
    "severity": ["high", "critical"]
  }
}

3.2.2 Alert Messages

Fall Detection Alert:

json
{
  "type": "alert",
  "alert_id": "alert_12345",
  "timestamp": "2025-01-07T04:46:32Z",
  "alert_type": "fall_detection",
  "severity": "high",
  "data": {
    "person_id": 1,
    "location": {"x": 220, "y": 180},
    "confidence": 0.92,
    "video_clip_url": "/clips/fall_12345.mp4"
  },
  "actions_required": ["medical_response", "notification"]
}

// TEST: Verify alert streaming delivers critical notifications immediately // TEST: Confirm alert filtering works for different severity levels // TEST: Validate alert data contains all necessary information

4. Data Models and Schemas

4.1 Core Data Models

4.1.1 Person Model

json
{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "type": "object",
  "properties": {
    "id": {
      "type": "integer",
      "description": "Unique person identifier"
    },
    "confidence": {
      "type": "number",
      "minimum": 0.0,
      "maximum": 1.0,
      "description": "Detection confidence score"
    },
    "bounding_box": {
      "$ref": "#/definitions/BoundingBox"
    },
    "keypoints": {
      "type": "array",
      "items": {"$ref": "#/definitions/Keypoint"}
    },
    "dense_pose": {
      "$ref": "#/definitions/DensePose"
    },
    "tracking_info": {
      "$ref": "#/definitions/TrackingInfo"
    }
  },
  "required": ["id", "confidence", "bounding_box", "keypoints"]
}

4.1.2 Keypoint Model

json
{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "enum": ["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"]
    },
    "x": {"type": "number"},
    "y": {"type": "number"},
    "confidence": {
      "type": "number",
      "minimum": 0.0,
      "maximum": 1.0
    },
    "visible": {"type": "boolean"}
  },
  "required": ["name", "x", "y", "confidence"]
}

4.1.3 Dense Pose Model

json
{
  "type": "object",
  "properties": {
    "body_parts": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "part_id": {"type": "integer"},
          "part_name": {"type": "string"},
          "uv_coordinates": {
            "type": "array",
            "items": {
              "type": "array",
              "items": {"type": "number"},
              "minItems": 2,
              "maxItems": 2
            }
          },
          "confidence": {
            "type": "number",
            "minimum": 0.0,
            "maximum": 1.0
          }
        },
        "required": ["part_id", "part_name", "uv_coordinates", "confidence"]
      }
    }
  }
}

// TEST: Verify data models validate correctly against schemas // TEST: Confirm all required fields are present in API responses // TEST: Validate data type constraints are enforced

4.2 Configuration Schemas

4.2.1 System Configuration Schema

json
{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "enum": ["healthcare", "retail", "security", "general"]
    },
    "environment": {
      "type": "object",
      "properties": {
        "id": {"type": "string"},
        "name": {"type": "string"},
        "calibration_timestamp": {"type": "string", "format": "date-time"}
      },
      "required": ["id", "name"]
    },
    "detection": {
      "type": "object",
      "properties": {
        "confidence_threshold": {
          "type": "number",
          "minimum": 0.0,
          "maximum": 1.0,
          "default": 0.7
        },
        "max_persons": {
          "type": "integer",
          "minimum": 1,
          "maximum": 10,
          "default": 5
        },
        "tracking_enabled": {
          "type": "boolean",
          "default": true
        }
      }
    }
  },
  "required": ["domain", "environment", "detection"]
}

// TEST: Verify configuration schema validation prevents invalid settings // TEST: Confirm default values are applied when not specified // TEST: Validate domain-specific configuration requirements

5. Authentication and Authorization

5.1 Authentication Methods

5.1.1 Bearer Token Authentication

Header Format: Authorization: Bearer <token> Token Type: JWT (JSON Web Token) Expiration: Configurable (default: 24 hours)

Token Payload:

json
{
  "sub": "user_12345",
  "iat": 1704600000,
  "exp": 1704686400,
  "scope": ["pose:read", "system:control", "config:write"],
  "domain": "healthcare"
}

5.1.2 API Key Authentication

Header Format: X-API-Key: <api_key> Use Case: Service-to-service communication Scope: Limited to specific endpoints

// TEST: Verify JWT token validation works correctly // TEST: Confirm API key authentication for service accounts // TEST: Validate token expiration handling

5.2 Authorization Scopes

5.2.1 Permission Levels

  • pose:read - Read pose data and analytics
  • pose:stream - Access real-time streaming
  • system:control - Start/stop system operations
  • system:status - View system status and health
  • config:read - Read configuration settings
  • config:write - Modify configuration settings
  • alerts:manage - Manage alert configurations
  • admin:full - Full administrative access

5.2.2 Domain-Based Access Control

  • Healthcare domain: Additional HIPAA compliance requirements
  • Retail domain: Customer privacy protections
  • Security domain: Enhanced audit logging
  • General domain: Standard access controls

// TEST: Verify permission-based access control works correctly // TEST: Confirm domain-specific authorization rules // TEST: Validate audit logging for sensitive operations

6. External Integration APIs

6.1 MQTT Integration

6.1.1 Topic Structure

wifi-densepose/
├── pose/
│   ├── person/{person_id}     # Individual person data
│   ├── summary                # Aggregated pose data
│   └── raw                    # Raw pose frames
├── alerts/
│   ├── fall_detection         # Fall detection alerts
│   ├── intrusion             # Security alerts
│   └── system                # System alerts
├── status/
│   ├── system                # System health status
│   ├── hardware              # Hardware status
│   └── network               # Network connectivity
└── analytics/
    ├── healthcare            # Healthcare metrics
    ├── retail                # Retail analytics
    └── security              # Security metrics

6.1.2 Message Formats

Person Pose Message:

json
{
  "timestamp": "2025-01-07T04:46:32Z",
  "person_id": 1,
  "confidence": 0.87,
  "keypoints": [...],
  "activity": "walking",
  "location": {"x": 220, "y": 180}
}

Alert Message:

json
{
  "alert_id": "alert_12345",
  "timestamp": "2025-01-07T04:46:32Z",
  "type": "fall_detection",
  "severity": "high",
  "person_id": 1,
  "location": {"x": 220, "y": 180},
  "confidence": 0.92
}

// TEST: Verify MQTT message publishing works reliably // TEST: Confirm topic structure follows specification // TEST: Validate message format consistency

6.2 Webhook Integration

6.2.1 Webhook Configuration

Endpoint: POST /webhooks Description: Configure webhook endpoints for event notifications

Request Body:

json
{
  "url": "https://example.com/webhook",
  "events": ["fall_detection", "person_detected"],
  "authentication": {
    "type": "bearer",
    "token": "webhook_token_12345"
  },
  "retry_policy": {
    "max_retries": 3,
    "retry_delay_seconds": 5
  }
}

6.2.2 Webhook Payload

Event Notification:

json
{
  "webhook_id": "webhook_67890",
  "event_type": "fall_detection",
  "timestamp": "2025-01-07T04:46:32Z",
  "data": {
    "alert_id": "alert_12345",
    "person_id": 1,
    "severity": "high",
    "location": {"x": 220, "y": 180}
  },
  "metadata": {
    "environment_id": "room_001",
    "system_version": "1.0.0"
  }
}

// TEST: Verify webhook delivery with retry logic // TEST: Confirm authentication methods work correctly // TEST: Validate event filtering and payload formatting

6.3 Restream Integration

6.3.1 Stream Configuration

Endpoint: POST /streaming/restream Description: Configure Restream integration for live broadcasting

Request Body:

json
{
  "restream_key": "restream_api_key",
  "platforms": ["youtube", "twitch", "facebook"],
  "video_settings": {
    "resolution": "1280x720",
    "fps": 30,
    "bitrate": 2500
  },
  "overlay_settings": {
    "show_keypoints": true,
    "show_confidence": true,
    "show_person_ids": true,
    "background_type": "transparent"
  }
}

6.3.2 Stream Status

Endpoint: GET /streaming/status Response:

json
{
  "status": "streaming",
  "platforms": [
    {
      "name": "youtube",
      "status": "connected",
      "viewers": 45,
      "uptime_seconds": 3600
    },
    {
      "name": "twitch",
      "status": "connected",
      "viewers": 23,
      "uptime_seconds": 3600
    }
  ],
  "video_stats": {
    "fps": 29.8,
    "bitrate": 2480,
    "dropped_frames": 12
  }
}

// TEST: Verify Restream integration connects successfully // TEST: Confirm multi-platform streaming works simultaneously // TEST: Validate video quality and performance metrics

7. Error Handling and Status Codes

7.1 HTTP Status Codes

7.1.1 Success Codes

  • 200 OK - Request successful
  • 201 Created - Resource created successfully
  • 202 Accepted - Request accepted for processing
  • 204 No Content - Request successful, no content returned

7.1.2 Client Error Codes

  • 400 Bad Request - Invalid request format or parameters
  • 401 Unauthorized - Authentication required or invalid
  • 403 Forbidden - Insufficient permissions
  • 404 Not Found - Resource not found
  • 409 Conflict - Resource conflict (e.g., system already running)
  • 422 Unprocessable Entity - Validation errors
  • 429 Too Many Requests - Rate limit exceeded

7.1.3 Server Error Codes

  • 500 Internal Server Error - Unexpected server error
  • 502 Bad Gateway - Upstream service error
  • 503 Service Unavailable - System not ready or overloaded
  • 504 Gateway Timeout - Request timeout

7.2 Error Response Format

7.2.1 Standard Error Response

json
{
  "error": {
    "code": "POSE_DATA_NOT_FOUND",
    "message": "No pose data available for the specified time range",
    "details": {
      "requested_range": {
        "start": "2025-01-07T00:00:00Z",
        "end": "2025-01-07T01:00:00Z"
      },
      "available_range": {
        "start": "2025-01-07T02:00:00Z",
        "end": "2025-01-07T04:46:32Z"
      }
    },
    "timestamp": "2025-01-07T04:46:32Z",
    "request_id": "req_12345"
  }
}

7.2.2 Validation Error Response

json
{
  "error": {
    "code": "VALIDATION_ERROR",
    "message": "Request validation failed",
    "details": {
      "field_errors": [
        {
          "field": "confidence_threshold",
          "message": "Value must be between 0.0 and 1.0",
          "received_value": 1.5
        }
      ]
    },
    "timestamp": "2025-01-07T04:46:32Z",
    "request_id": "req_12346"
  }
}

// TEST: Verify error responses follow consistent format // TEST: Confirm appropriate status codes are returned // TEST: Validate error details provide actionable information

8. Rate Limiting and Performance

8.1 Rate Limiting

8.1.1 Rate Limit Configuration

  • REST API: 1000 requests per hour per API key
  • WebSocket: 100 connections per IP address
  • Streaming: 10 concurrent streams per account
  • Webhook: 10,000 events per hour per endpoint

8.1.2 Rate Limit Headers

X-RateLimit-Limit: 1000
X-RateLimit-Remaining: 999
X-RateLimit-Reset: 1704686400
X-RateLimit-Window: 3600

8.2 Performance Requirements

8.2.1 Response Time Targets

  • Pose Data Endpoints: <100ms (95th percentile)
  • System Control: <500ms (95th percentile)
  • Configuration Updates: <200ms (95th percentile)
  • WebSocket Messages: <50ms (95th percentile)

8.2.2 Throughput Targets

  • REST API: 10,000 requests per second
  • WebSocket: 1,000 concurrent connections
  • Pose Updates: 30 FPS per stream
  • Alert Processing: <1 second end-to-end

// TEST: Verify rate limiting enforces configured limits // TEST: Confirm performance targets are met under load // TEST: Validate system scales to handle concurrent users

9. API Versioning and Compatibility

9.1 Versioning Strategy

9.1.1 URL Versioning

  • Current version: /api/v1/
  • Future versions: /api/v2/, /api/v3/
  • Version-specific endpoints maintain backward compatibility

9.1.2 Header Versioning

  • Accept: application/vnd.wifi-densepose.v1+json
  • API-Version: 1.0

9.2 Deprecation Policy

9.2.1 Deprecation Timeline

  • Notice Period: 6 months advance notice
  • Support Period: 12 months after deprecation notice
  • Migration Support: Documentation and tools provided

9.2.2 Deprecation Headers

Deprecation: true
Sunset: Wed, 07 Jan 2026 04:46:32 GMT
Link: </api/v2/pose/latest>; rel="successor-version"

// TEST: Verify API versioning works correctly // TEST: Confirm backward compatibility is maintained // TEST: Validate deprecation notices are properly communicated

10. Testing and Validation

10.1 API Testing Framework

10.1.1 Test Categories

  • Unit Tests: Individual endpoint functionality
  • Integration Tests: End-to-end API workflows
  • Performance Tests: Load and stress testing
  • Security Tests: Authentication and authorization
  • Contract Tests: API schema validation

10.1.2 Test Data Management

  • Synthetic Data: Generated test poses and scenarios
  • Recorded Data: Real CSI data for validation
  • Mock Services: External service simulation
  • Test Environments: Isolated testing infrastructure

// TEST: Verify comprehensive test coverage for all endpoints // TEST: Confirm test data accurately represents real scenarios // TEST: Validate test automation runs reliably

10.2 API Documentation Testing

10.2.1 Documentation Validation

  • Schema Validation: OpenAPI specification compliance
  • Example Validation: All examples execute successfully
  • Link Validation: All documentation links work
  • Code Sample Testing: All code samples are functional

// TEST: Verify API documentation matches implementation // TEST: Confirm all examples and code samples work correctly // TEST: Validate documentation completeness and accuracy

11. Acceptance Criteria

11.1 Functional Acceptance

  • Complete API Coverage: All specified endpoints implemented and functional
  • Data Model Compliance: All responses conform to defined schemas
  • Authentication: Secure authentication and authorization working
  • Real-Time Streaming: WebSocket streaming operational with <50ms latency

11.2 Performance Acceptance

  • Response Times: 95th percentile response times meet targets
  • Throughput: System handles specified concurrent load
  • Rate Limiting: Rate limits enforced correctly
  • Scalability: System scales to handle growth requirements

11.3 Integration Acceptance

  • External APIs: MQTT, webhook, and Restream integrations functional
  • Error Handling: Comprehensive error handling and reporting
  • Documentation: Complete and accurate API documentation
  • Testing: Comprehensive test coverage with automated validation

// TEST: Validate all API endpoints meet functional requirements // TEST: Confirm performance targets are achieved under load // TEST: Verify external integrations work reliably // TEST: Ensure comprehensive error handling covers all scenarios // TEST: Validate API documentation accuracy and completeness