- Implemented the WiFi DensePose model in PyTorch, including CSI phase processing, modality translation, and DensePose prediction heads. - Added a comprehensive training utility for the model, including loss functions and training steps. - Created a CSV file to document hardware specifications, architecture details, training parameters, performance metrics, and advantages of the model.
28 KiB
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:
{
"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 available503: System not initialized401: 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 startend_time(optional): ISO 8601 timestamp for range endlimit(optional): Maximum number of records (default: 100, max: 1000)person_id(optional): Filter by specific person IDconfidence_threshold(optional): Minimum confidence score (0.0-1.0)
Response Format:
{
"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:
{
"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:
{
"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:
{
"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:
{
"configuration": {
"domain": "healthcare",
"environment_id": "room_001",
"calibration_required": true
}
}
Response Format:
{
"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:
{
"force": false,
"save_state": true
}
Response Format:
{
"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:
{
"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:
{
"detection": {
"confidence_threshold": 0.75,
"max_persons": 3
},
"alerts": {
"fall_detection": {
"sensitivity": 0.9
}
}
}
Response Format:
{
"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:
{
"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:
{
"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:
{
"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:
{
"type": "subscribe",
"channel": "pose_updates",
"filters": {
"min_confidence": 0.7,
"person_ids": [1, 2, 3]
}
}
Subscription Confirmation:
{
"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:
{
"type": "pose_update",
"subscription_id": "sub_67890",
"timestamp": "2025-01-07T04:46:32.123Z",
"data": {
"frame_id": 12345,
"persons": [...],
"metadata": {...}
}
}
System Status Update:
{
"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:
{
"type": "subscribe",
"channel": "alerts",
"filters": {
"alert_types": ["fall_detection", "intrusion"],
"severity": ["high", "critical"]
}
}
3.2.2 Alert Messages
Fall Detection Alert:
{
"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
{
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "object",
"properties": {
"id": {
"type": "integer",
"description": "Unique person identifier"
},
"confidence": {
"type": "number",
"minimum": 0.0,
"maximum": 1.0,
"description": "Detection confidence score"
},
"bounding_box": {
"$ref": "#/definitions/BoundingBox"
},
"keypoints": {
"type": "array",
"items": {"$ref": "#/definitions/Keypoint"}
},
"dense_pose": {
"$ref": "#/definitions/DensePose"
},
"tracking_info": {
"$ref": "#/definitions/TrackingInfo"
}
},
"required": ["id", "confidence", "bounding_box", "keypoints"]
}
4.1.2 Keypoint Model
{
"type": "object",
"properties": {
"name": {
"type": "string",
"enum": ["nose", "left_eye", "right_eye", "left_ear", "right_ear",
"left_shoulder", "right_shoulder", "left_elbow", "right_elbow",
"left_wrist", "right_wrist", "left_hip", "right_hip",
"left_knee", "right_knee", "left_ankle", "right_ankle"]
},
"x": {"type": "number"},
"y": {"type": "number"},
"confidence": {
"type": "number",
"minimum": 0.0,
"maximum": 1.0
},
"visible": {"type": "boolean"}
},
"required": ["name", "x", "y", "confidence"]
}
4.1.3 Dense Pose Model
{
"type": "object",
"properties": {
"body_parts": {
"type": "array",
"items": {
"type": "object",
"properties": {
"part_id": {"type": "integer"},
"part_name": {"type": "string"},
"uv_coordinates": {
"type": "array",
"items": {
"type": "array",
"items": {"type": "number"},
"minItems": 2,
"maxItems": 2
}
},
"confidence": {
"type": "number",
"minimum": 0.0,
"maximum": 1.0
}
},
"required": ["part_id", "part_name", "uv_coordinates", "confidence"]
}
}
}
}
// TEST: Verify data models validate correctly against schemas // TEST: Confirm all required fields are present in API responses // TEST: Validate data type constraints are enforced
4.2 Configuration Schemas
4.2.1 System Configuration Schema
{
"$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:
{
"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 analyticspose:stream- Access real-time streamingsystem:control- Start/stop system operationssystem:status- View system status and healthconfig:read- Read configuration settingsconfig:write- Modify configuration settingsalerts:manage- Manage alert configurationsadmin: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:
{
"timestamp": "2025-01-07T04:46:32Z",
"person_id": 1,
"confidence": 0.87,
"keypoints": [...],
"activity": "walking",
"location": {"x": 220, "y": 180}
}
Alert Message:
{
"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:
{
"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:
{
"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:
{
"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:
{
"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 successful201 Created- Resource created successfully202 Accepted- Request accepted for processing204 No Content- Request successful, no content returned
7.1.2 Client Error Codes
400 Bad Request- Invalid request format or parameters401 Unauthorized- Authentication required or invalid403 Forbidden- Insufficient permissions404 Not Found- Resource not found409 Conflict- Resource conflict (e.g., system already running)422 Unprocessable Entity- Validation errors429 Too Many Requests- Rate limit exceeded
7.1.3 Server Error Codes
500 Internal Server Error- Unexpected server error502 Bad Gateway- Upstream service error503 Service Unavailable- System not ready or overloaded504 Gateway Timeout- Request timeout
7.2 Error Response Format
7.2.1 Standard Error Response
{
"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
{
"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+jsonAPI-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