610 lines
15 KiB
Markdown
610 lines
15 KiB
Markdown
# WiFi-DensePose System Integration Guide
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This document provides a comprehensive guide to the WiFi-DensePose system integration, covering all components and their interactions.
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## Overview
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The WiFi-DensePose system is a fully integrated solution for WiFi-based human pose estimation using CSI data and DensePose neural networks. The system consists of multiple interconnected components that work together to provide real-time pose detection capabilities.
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## System Architecture
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```
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┌─────────────────────────────────────────────────────────────────┐
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│ WiFi-DensePose System │
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├─────────────────────────────────────────────────────────────────┤
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│ CLI Interface (src/cli.py) │
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│ ├── Commands: start, stop, status, config │
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│ └── Entry Point: wifi-densepose │
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├─────────────────────────────────────────────────────────────────┤
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│ FastAPI Application (src/app.py) │
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│ ├── REST API Endpoints │
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│ ├── WebSocket Connections │
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│ ├── Middleware Stack │
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│ └── Error Handling │
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├─────────────────────────────────────────────────────────────────┤
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│ Core Processing Components │
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│ ├── CSI Processor (src/core/csi_processor.py) │
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│ ├── Phase Sanitizer (src/core/phase_sanitizer.py) │
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│ ├── Pose Estimator (src/core/pose_estimator.py) │
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│ └── Router Interface (src/core/router_interface.py) │
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├─────────────────────────────────────────────────────────────────┤
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│ Service Layer │
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│ ├── Service Orchestrator (src/services/orchestrator.py) │
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│ ├── Health Check Service (src/services/health_check.py) │
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│ └── Metrics Service (src/services/metrics.py) │
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├─────────────────────────────────────────────────────────────────┤
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│ Middleware Layer │
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│ ├── Authentication (src/middleware/auth.py) │
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│ ├── CORS (src/middleware/cors.py) │
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│ ├── Rate Limiting (src/middleware/rate_limit.py) │
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│ └── Error Handler (src/middleware/error_handler.py) │
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├─────────────────────────────────────────────────────────────────┤
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│ Database Layer │
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│ ├── Connection Manager (src/database/connection.py) │
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│ ├── Models (src/database/models.py) │
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│ └── Migrations (src/database/migrations/) │
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├─────────────────────────────────────────────────────────────────┤
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│ Background Tasks │
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│ ├── Cleanup Tasks (src/tasks/cleanup.py) │
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│ ├── Monitoring Tasks (src/tasks/monitoring.py) │
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│ └── Backup Tasks (src/tasks/backup.py) │
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└─────────────────────────────────────────────────────────────────┘
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```
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## Component Integration
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### 1. Application Entry Points
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#### Main Application (`src/main.py`)
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- Primary entry point for the application
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- Handles application lifecycle management
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- Integrates with all system components
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#### FastAPI Application (`src/app.py`)
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- Web application setup and configuration
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- API endpoint registration
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- Middleware integration
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- Error handling setup
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#### CLI Interface (`src/cli.py`)
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- Command-line interface for system management
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- Integration with all system services
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- Configuration management commands
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### 2. Configuration Management
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#### Centralized Settings (`src/config.py`)
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- Environment-based configuration
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- Database connection settings
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- Service configuration parameters
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- Security settings
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#### Logger Configuration (`src/logger.py`)
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- Structured logging setup
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- Log level management
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- Integration with monitoring systems
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### 3. Core Processing Pipeline
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The core processing components work together in a pipeline:
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```
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Router Interface → CSI Processor → Phase Sanitizer → Pose Estimator
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```
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#### Router Interface
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- Connects to WiFi routers
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- Collects CSI data
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- Manages device connections
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#### CSI Processor
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- Processes raw CSI data
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- Applies signal processing algorithms
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- Prepares data for pose estimation
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#### Phase Sanitizer
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- Removes phase noise and artifacts
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- Improves signal quality
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- Enhances pose detection accuracy
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#### Pose Estimator
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- Applies DensePose neural networks
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- Generates pose predictions
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- Provides confidence scores
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### 4. Service Integration
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#### Service Orchestrator
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- Coordinates all system services
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- Manages service lifecycle
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- Handles inter-service communication
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#### Health Check Service
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- Monitors system health
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- Provides health status endpoints
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- Integrates with monitoring systems
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#### Metrics Service
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- Collects system metrics
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- Provides Prometheus-compatible metrics
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- Monitors performance indicators
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### 5. Database Integration
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#### Connection Management
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- Async database connections
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- Connection pooling
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- Transaction management
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#### Data Models
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- SQLAlchemy ORM models
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- Database schema definitions
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- Relationship management
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#### Migrations
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- Database schema versioning
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- Automated migration system
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- Data integrity maintenance
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### 6. Background Task Integration
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#### Cleanup Tasks
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- Periodic data cleanup
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- Resource management
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- System maintenance
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#### Monitoring Tasks
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- System monitoring
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- Performance tracking
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- Alert generation
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#### Backup Tasks
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- Data backup operations
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- System state preservation
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- Disaster recovery
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## Integration Patterns
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### 1. Dependency Injection
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The system uses dependency injection for component integration:
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```python
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# Example: Service integration
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from src.services.orchestrator import get_service_orchestrator
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from src.database.connection import get_database_manager
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async def initialize_system():
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settings = get_settings()
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db_manager = get_database_manager(settings)
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orchestrator = get_service_orchestrator(settings)
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await db_manager.initialize()
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await orchestrator.initialize()
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```
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### 2. Event-Driven Architecture
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Components communicate through events:
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```python
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# Example: Event handling
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from src.core.events import EventBus
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event_bus = EventBus()
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# Publisher
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await event_bus.publish("csi_data_received", data)
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# Subscriber
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@event_bus.subscribe("csi_data_received")
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async def process_csi_data(data):
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# Process the data
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pass
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```
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### 3. Middleware Pipeline
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Request processing through middleware:
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```python
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# Middleware stack
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app.add_middleware(ErrorHandlerMiddleware)
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app.add_middleware(AuthenticationMiddleware)
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app.add_middleware(RateLimitMiddleware)
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app.add_middleware(CORSMiddleware)
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```
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### 4. Resource Management
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Proper resource lifecycle management:
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```python
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# Context managers for resources
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async with db_manager.get_async_session() as session:
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# Database operations
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pass
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async with router_interface.get_connection() as connection:
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# Router operations
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pass
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```
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## Configuration Integration
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### Environment Variables
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```bash
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# Core settings
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WIFI_DENSEPOSE_ENVIRONMENT=production
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WIFI_DENSEPOSE_DEBUG=false
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WIFI_DENSEPOSE_LOG_LEVEL=INFO
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# Database settings
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WIFI_DENSEPOSE_DATABASE_URL=postgresql+asyncpg://user:pass@localhost/db
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WIFI_DENSEPOSE_DATABASE_POOL_SIZE=20
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# Redis settings
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WIFI_DENSEPOSE_REDIS_URL=redis://localhost:6379/0
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WIFI_DENSEPOSE_REDIS_ENABLED=true
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# Security settings
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WIFI_DENSEPOSE_SECRET_KEY=your-secret-key
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WIFI_DENSEPOSE_JWT_ALGORITHM=HS256
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```
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### Configuration Files
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```yaml
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# config/production.yaml
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database:
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pool_size: 20
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max_overflow: 30
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pool_timeout: 30
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services:
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health_check:
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interval: 30
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timeout: 10
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metrics:
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enabled: true
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port: 9090
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processing:
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csi:
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sampling_rate: 1000
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buffer_size: 1024
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pose:
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model_path: "models/densepose.pth"
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confidence_threshold: 0.7
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```
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## API Integration
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### REST Endpoints
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```python
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# Device management
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GET /api/v1/devices
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POST /api/v1/devices
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GET /api/v1/devices/{device_id}
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PUT /api/v1/devices/{device_id}
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DELETE /api/v1/devices/{device_id}
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# Session management
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GET /api/v1/sessions
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POST /api/v1/sessions
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GET /api/v1/sessions/{session_id}
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PATCH /api/v1/sessions/{session_id}
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DELETE /api/v1/sessions/{session_id}
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# Data endpoints
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POST /api/v1/csi-data
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GET /api/v1/sessions/{session_id}/pose-detections
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GET /api/v1/sessions/{session_id}/csi-data
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```
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### WebSocket Integration
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```python
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# Real-time data streaming
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WS /ws/csi-data/{session_id}
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WS /ws/pose-detections/{session_id}
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WS /ws/system-status
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```
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## Monitoring Integration
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### Health Checks
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```python
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# Health check endpoints
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GET /health # Basic health check
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GET /health?detailed=true # Detailed health information
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GET /metrics # Prometheus metrics
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```
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### Metrics Collection
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```python
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# System metrics
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- http_requests_total
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- http_request_duration_seconds
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- database_connections_active
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- csi_data_processed_total
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- pose_detections_total
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- system_memory_usage
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- system_cpu_usage
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```
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## Testing Integration
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### Unit Tests
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```bash
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# Run unit tests
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pytest tests/unit/ -v
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# Run with coverage
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pytest tests/unit/ --cov=src --cov-report=html
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```
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### Integration Tests
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```bash
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# Run integration tests
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pytest tests/integration/ -v
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# Run specific integration test
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pytest tests/integration/test_full_system_integration.py -v
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```
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### End-to-End Tests
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```bash
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# Run E2E tests
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pytest tests/e2e/ -v
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# Run with real hardware
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pytest tests/e2e/ --hardware=true -v
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```
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## Deployment Integration
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### Docker Integration
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```dockerfile
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# Multi-stage build
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FROM python:3.11-slim as builder
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# Build stage
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FROM python:3.11-slim as runtime
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# Runtime stage
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```
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### Kubernetes Integration
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```yaml
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# Deployment configuration
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: wifi-densepose
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spec:
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replicas: 3
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selector:
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matchLabels:
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app: wifi-densepose
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template:
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metadata:
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labels:
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app: wifi-densepose
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spec:
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containers:
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- name: wifi-densepose
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image: wifi-densepose:latest
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ports:
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- containerPort: 8000
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```
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## Security Integration
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### Authentication
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```python
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# JWT-based authentication
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from src.middleware.auth import AuthenticationMiddleware
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app.add_middleware(AuthenticationMiddleware)
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```
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### Authorization
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```python
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# Role-based access control
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from src.middleware.auth import require_role
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@require_role("admin")
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async def admin_endpoint():
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pass
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```
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### Rate Limiting
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```python
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# Rate limiting middleware
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from src.middleware.rate_limit import RateLimitMiddleware
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app.add_middleware(RateLimitMiddleware,
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requests_per_minute=100)
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```
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## Performance Integration
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### Caching
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```python
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# Redis caching
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from src.cache import get_cache_manager
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cache = get_cache_manager()
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await cache.set("key", value, ttl=300)
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value = await cache.get("key")
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```
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### Connection Pooling
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```python
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# Database connection pooling
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from src.database.connection import get_database_manager
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db_manager = get_database_manager(settings)
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# Automatic connection pooling
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```
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### Async Processing
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```python
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# Async task processing
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from src.tasks import get_task_manager
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task_manager = get_task_manager()
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await task_manager.submit_task("process_csi_data", data)
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```
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## Troubleshooting Integration
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### Common Issues
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1. **Database Connection Issues**
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```bash
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# Check database connectivity
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wifi-densepose config validate
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```
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2. **Service Startup Issues**
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```bash
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# Check service status
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wifi-densepose status
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# View logs
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wifi-densepose logs --tail=100
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```
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3. **Performance Issues**
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```bash
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# Check system metrics
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curl http://localhost:8000/metrics
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# Check health status
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curl http://localhost:8000/health?detailed=true
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```
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### Debug Mode
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```bash
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# Enable debug mode
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export WIFI_DENSEPOSE_DEBUG=true
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export WIFI_DENSEPOSE_LOG_LEVEL=DEBUG
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# Start with debug logging
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wifi-densepose start --debug
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```
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## Integration Validation
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### Automated Validation
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```bash
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# Run integration validation
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./scripts/validate-integration.sh
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# Run specific validation
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./scripts/validate-integration.sh --component=database
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```
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### Manual Validation
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```bash
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# Check package installation
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pip install -e .
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# Verify imports
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python -c "import src; print(src.__version__)"
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# Test CLI
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wifi-densepose --help
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# Test API
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curl http://localhost:8000/health
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```
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## Best Practices
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### 1. Error Handling
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- Use structured error responses
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- Implement proper exception handling
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- Log errors with context
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### 2. Resource Management
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- Use context managers for resources
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- Implement proper cleanup procedures
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- Monitor resource usage
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### 3. Configuration Management
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- Use environment-specific configurations
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- Validate configuration on startup
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- Provide sensible defaults
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### 4. Testing
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- Write comprehensive integration tests
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- Use mocking for external dependencies
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- Test error conditions
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### 5. Monitoring
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- Implement health checks
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- Collect relevant metrics
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- Set up alerting
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### 6. Security
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- Validate all inputs
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- Use secure authentication
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- Implement rate limiting
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### 7. Performance
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- Use async/await patterns
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- Implement caching where appropriate
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- Monitor performance metrics
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## Next Steps
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1. **Run Integration Validation**
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```bash
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./scripts/validate-integration.sh
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```
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2. **Start the System**
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```bash
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wifi-densepose start
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```
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3. **Monitor System Health**
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```bash
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wifi-densepose status
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curl http://localhost:8000/health
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```
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4. **Run Tests**
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```bash
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pytest tests/ -v
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```
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5. **Deploy to Production**
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```bash
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docker build -t wifi-densepose .
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docker run -p 8000:8000 wifi-densepose
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```
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For more detailed information, refer to the specific component documentation in the `docs/` directory. |