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feat: Complete Rust port of WiFi-DensePose with modular crates

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Major changes:
- Organized Python v1 implementation into v1/ subdirectory
- Created Rust workspace with 9 modular crates:
  - wifi-densepose-core: Core types, traits, errors
  - wifi-densepose-signal: CSI processing, phase sanitization, FFT
  - wifi-densepose-nn: Neural network inference (ONNX/Candle/tch)
  - wifi-densepose-api: Axum-based REST/WebSocket API
  - wifi-densepose-db: SQLx database layer
  - wifi-densepose-config: Configuration management
  - wifi-densepose-hardware: Hardware abstraction
  - wifi-densepose-wasm: WebAssembly bindings
  - wifi-densepose-cli: Command-line interface

Documentation:
- ADR-001: Workspace structure
- ADR-002: Signal processing library selection
- ADR-003: Neural network inference strategy
- DDD domain model with bounded contexts

Testing:
- 69 tests passing across all crates
- Signal processing: 45 tests
- Neural networks: 21 tests
- Core: 3 doc tests

Performance targets:
- 10x faster CSI processing (~0.5ms vs ~5ms)
- 5x lower memory usage (~100MB vs ~500MB)
- WASM support for browser deployment
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# WiFi-DensePose System Integration Guide
This document provides a comprehensive guide to the WiFi-DensePose system integration, covering all components and their interactions.
## Overview
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.
## System Architecture
```
┌─────────────────────────────────────────────────────────────────┐
│ WiFi-DensePose System │
├─────────────────────────────────────────────────────────────────┤
│ CLI Interface (src/cli.py) │
│ ├── Commands: start, stop, status, config │
│ └── Entry Point: wifi-densepose │
├─────────────────────────────────────────────────────────────────┤
│ FastAPI Application (src/app.py) │
│ ├── REST API Endpoints │
│ ├── WebSocket Connections │
│ ├── Middleware Stack │
│ └── Error Handling │
├─────────────────────────────────────────────────────────────────┤
│ Core Processing Components │
│ ├── CSI Processor (src/core/csi_processor.py) │
│ ├── Phase Sanitizer (src/core/phase_sanitizer.py) │
│ ├── Pose Estimator (src/core/pose_estimator.py) │
│ └── Router Interface (src/core/router_interface.py) │
├─────────────────────────────────────────────────────────────────┤
│ Service Layer │
│ ├── Service Orchestrator (src/services/orchestrator.py) │
│ ├── Health Check Service (src/services/health_check.py) │
│ └── Metrics Service (src/services/metrics.py) │
├─────────────────────────────────────────────────────────────────┤
│ Middleware Layer │
│ ├── Authentication (src/middleware/auth.py) │
│ ├── CORS (src/middleware/cors.py) │
│ ├── Rate Limiting (src/middleware/rate_limit.py) │
│ └── Error Handler (src/middleware/error_handler.py) │
├─────────────────────────────────────────────────────────────────┤
│ Database Layer │
│ ├── Connection Manager (src/database/connection.py) │
│ ├── Models (src/database/models.py) │
│ └── Migrations (src/database/migrations/) │
├─────────────────────────────────────────────────────────────────┤
│ Background Tasks │
│ ├── Cleanup Tasks (src/tasks/cleanup.py) │
│ ├── Monitoring Tasks (src/tasks/monitoring.py) │
│ └── Backup Tasks (src/tasks/backup.py) │
└─────────────────────────────────────────────────────────────────┘
```
## Component Integration
### 1. Application Entry Points
#### Main Application (`src/main.py`)
- Primary entry point for the application
- Handles application lifecycle management
- Integrates with all system components
#### FastAPI Application (`src/app.py`)
- Web application setup and configuration
- API endpoint registration
- Middleware integration
- Error handling setup
#### CLI Interface (`src/cli.py`)
- Command-line interface for system management
- Integration with all system services
- Configuration management commands
### 2. Configuration Management
#### Centralized Settings (`src/config.py`)
- Environment-based configuration
- Database connection settings
- Service configuration parameters
- Security settings
#### Logger Configuration (`src/logger.py`)
- Structured logging setup
- Log level management
- Integration with monitoring systems
### 3. Core Processing Pipeline
The core processing components work together in a pipeline:
```
Router Interface → CSI Processor → Phase Sanitizer → Pose Estimator
```
#### Router Interface
- Connects to WiFi routers
- Collects CSI data
- Manages device connections
#### CSI Processor
- Processes raw CSI data
- Applies signal processing algorithms
- Prepares data for pose estimation
#### Phase Sanitizer
- Removes phase noise and artifacts
- Improves signal quality
- Enhances pose detection accuracy
#### Pose Estimator
- Applies DensePose neural networks
- Generates pose predictions
- Provides confidence scores
### 4. Service Integration
#### Service Orchestrator
- Coordinates all system services
- Manages service lifecycle
- Handles inter-service communication
#### Health Check Service
- Monitors system health
- Provides health status endpoints
- Integrates with monitoring systems
#### Metrics Service
- Collects system metrics
- Provides Prometheus-compatible metrics
- Monitors performance indicators
### 5. Database Integration
#### Connection Management
- Async database connections
- Connection pooling
- Transaction management
#### Data Models
- SQLAlchemy ORM models
- Database schema definitions
- Relationship management
#### Migrations
- Database schema versioning
- Automated migration system
- Data integrity maintenance
### 6. Background Task Integration
#### Cleanup Tasks
- Periodic data cleanup
- Resource management
- System maintenance
#### Monitoring Tasks
- System monitoring
- Performance tracking
- Alert generation
#### Backup Tasks
- Data backup operations
- System state preservation
- Disaster recovery
## Integration Patterns
### 1. Dependency Injection
The system uses dependency injection for component integration:
```python
# Example: Service integration
from src.services.orchestrator import get_service_orchestrator
from src.database.connection import get_database_manager
async def initialize_system():
settings = get_settings()
db_manager = get_database_manager(settings)
orchestrator = get_service_orchestrator(settings)
await db_manager.initialize()
await orchestrator.initialize()
```
### 2. Event-Driven Architecture
Components communicate through events:
```python
# Example: Event handling
from src.core.events import EventBus
event_bus = EventBus()
# Publisher
await event_bus.publish("csi_data_received", data)
# Subscriber
@event_bus.subscribe("csi_data_received")
async def process_csi_data(data):
# Process the data
pass
```
### 3. Middleware Pipeline
Request processing through middleware:
```python
# Middleware stack
app.add_middleware(ErrorHandlerMiddleware)
app.add_middleware(AuthenticationMiddleware)
app.add_middleware(RateLimitMiddleware)
app.add_middleware(CORSMiddleware)
```
### 4. Resource Management
Proper resource lifecycle management:
```python
# Context managers for resources
async with db_manager.get_async_session() as session:
# Database operations
pass
async with router_interface.get_connection() as connection:
# Router operations
pass
```
## Configuration Integration
### Environment Variables
```bash
# Core settings
WIFI_DENSEPOSE_ENVIRONMENT=production
WIFI_DENSEPOSE_DEBUG=false
WIFI_DENSEPOSE_LOG_LEVEL=INFO
# Database settings
WIFI_DENSEPOSE_DATABASE_URL=postgresql+asyncpg://user:pass@localhost/db
WIFI_DENSEPOSE_DATABASE_POOL_SIZE=20
# Redis settings
WIFI_DENSEPOSE_REDIS_URL=redis://localhost:6379/0
WIFI_DENSEPOSE_REDIS_ENABLED=true
# Security settings
WIFI_DENSEPOSE_SECRET_KEY=your-secret-key
WIFI_DENSEPOSE_JWT_ALGORITHM=HS256
```
### Configuration Files
```yaml
# config/production.yaml
database:
pool_size: 20
max_overflow: 30
pool_timeout: 30
services:
health_check:
interval: 30
timeout: 10
metrics:
enabled: true
port: 9090
processing:
csi:
sampling_rate: 1000
buffer_size: 1024
pose:
model_path: "models/densepose.pth"
confidence_threshold: 0.7
```
## API Integration
### REST Endpoints
```python
# Device management
GET /api/v1/devices
POST /api/v1/devices
GET /api/v1/devices/{device_id}
PUT /api/v1/devices/{device_id}
DELETE /api/v1/devices/{device_id}
# Session management
GET /api/v1/sessions
POST /api/v1/sessions
GET /api/v1/sessions/{session_id}
PATCH /api/v1/sessions/{session_id}
DELETE /api/v1/sessions/{session_id}
# Data endpoints
POST /api/v1/csi-data
GET /api/v1/sessions/{session_id}/pose-detections
GET /api/v1/sessions/{session_id}/csi-data
```
### WebSocket Integration
```python
# Real-time data streaming
WS /ws/csi-data/{session_id}
WS /ws/pose-detections/{session_id}
WS /ws/system-status
```
## Monitoring Integration
### Health Checks
```python
# Health check endpoints
GET /health # Basic health check
GET /health?detailed=true # Detailed health information
GET /metrics # Prometheus metrics
```
### Metrics Collection
```python
# System metrics
- http_requests_total
- http_request_duration_seconds
- database_connections_active
- csi_data_processed_total
- pose_detections_total
- system_memory_usage
- system_cpu_usage
```
## Testing Integration
### Unit Tests
```bash
# Run unit tests
pytest tests/unit/ -v
# Run with coverage
pytest tests/unit/ --cov=src --cov-report=html
```
### Integration Tests
```bash
# Run integration tests
pytest tests/integration/ -v
# Run specific integration test
pytest tests/integration/test_full_system_integration.py -v
```
### End-to-End Tests
```bash
# Run E2E tests
pytest tests/e2e/ -v
# Run with real hardware
pytest tests/e2e/ --hardware=true -v
```
## Deployment Integration
### Docker Integration
```dockerfile
# Multi-stage build
FROM python:3.11-slim as builder
# Build stage
FROM python:3.11-slim as runtime
# Runtime stage
```
### Kubernetes Integration
```yaml
# Deployment configuration
apiVersion: apps/v1
kind: Deployment
metadata:
name: wifi-densepose
spec:
replicas: 3
selector:
matchLabels:
app: wifi-densepose
template:
metadata:
labels:
app: wifi-densepose
spec:
containers:
- name: wifi-densepose
image: wifi-densepose:latest
ports:
- containerPort: 8000
```
## Security Integration
### Authentication
```python
# JWT-based authentication
from src.middleware.auth import AuthenticationMiddleware
app.add_middleware(AuthenticationMiddleware)
```
### Authorization
```python
# Role-based access control
from src.middleware.auth import require_role
@require_role("admin")
async def admin_endpoint():
pass
```
### Rate Limiting
```python
# Rate limiting middleware
from src.middleware.rate_limit import RateLimitMiddleware
app.add_middleware(RateLimitMiddleware,
requests_per_minute=100)
```
## Performance Integration
### Caching
```python
# Redis caching
from src.cache import get_cache_manager
cache = get_cache_manager()
await cache.set("key", value, ttl=300)
value = await cache.get("key")
```
### Connection Pooling
```python
# Database connection pooling
from src.database.connection import get_database_manager
db_manager = get_database_manager(settings)
# Automatic connection pooling
```
### Async Processing
```python
# Async task processing
from src.tasks import get_task_manager
task_manager = get_task_manager()
await task_manager.submit_task("process_csi_data", data)
```
## Troubleshooting Integration
### Common Issues
1. **Database Connection Issues**
```bash
# Check database connectivity
wifi-densepose config validate
```
2. **Service Startup Issues**
```bash
# Check service status
wifi-densepose status
# View logs
wifi-densepose logs --tail=100
```
3. **Performance Issues**
```bash
# Check system metrics
curl http://localhost:8000/metrics
# Check health status
curl http://localhost:8000/health?detailed=true
```
### Debug Mode
```bash
# Enable debug mode
export WIFI_DENSEPOSE_DEBUG=true
export WIFI_DENSEPOSE_LOG_LEVEL=DEBUG
# Start with debug logging
wifi-densepose start --debug
```
## Integration Validation
### Automated Validation
```bash
# Run integration validation
./scripts/validate-integration.sh
# Run specific validation
./scripts/validate-integration.sh --component=database
```
### Manual Validation
```bash
# Check package installation
pip install -e .
# Verify imports
python -c "import src; print(src.__version__)"
# Test CLI
wifi-densepose --help
# Test API
curl http://localhost:8000/health
```
## Best Practices
### 1. Error Handling
- Use structured error responses
- Implement proper exception handling
- Log errors with context
### 2. Resource Management
- Use context managers for resources
- Implement proper cleanup procedures
- Monitor resource usage
### 3. Configuration Management
- Use environment-specific configurations
- Validate configuration on startup
- Provide sensible defaults
### 4. Testing
- Write comprehensive integration tests
- Use mocking for external dependencies
- Test error conditions
### 5. Monitoring
- Implement health checks
- Collect relevant metrics
- Set up alerting
### 6. Security
- Validate all inputs
- Use secure authentication
- Implement rate limiting
### 7. Performance
- Use async/await patterns
- Implement caching where appropriate
- Monitor performance metrics
## Next Steps
1. **Run Integration Validation**
```bash
./scripts/validate-integration.sh
```
2. **Start the System**
```bash
wifi-densepose start
```
3. **Monitor System Health**
```bash
wifi-densepose status
curl http://localhost:8000/health
```
4. **Run Tests**
```bash
pytest tests/ -v
```
5. **Deploy to Production**
```bash
docker build -t wifi-densepose .
docker run -p 8000:8000 wifi-densepose
```
For more detailed information, refer to the specific component documentation in the `docs/` directory.