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
722 lines
15 KiB
Markdown
722 lines
15 KiB
Markdown
# Configuration Guide
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## Overview
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This guide covers comprehensive configuration options for the WiFi-DensePose system, including domain-specific settings, hardware configuration, performance tuning, and security settings.
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## Table of Contents
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1. [Configuration Files](#configuration-files)
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2. [Environment Variables](#environment-variables)
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3. [Domain-Specific Configuration](#domain-specific-configuration)
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4. [Hardware Configuration](#hardware-configuration)
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5. [Performance Tuning](#performance-tuning)
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6. [Security Configuration](#security-configuration)
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7. [Integration Settings](#integration-settings)
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8. [Monitoring and Logging](#monitoring-and-logging)
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9. [Advanced Configuration](#advanced-configuration)
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## Configuration Files
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### Primary Configuration File
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The system uses environment variables and configuration files for settings management:
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```bash
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# Main configuration file
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.env
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# Domain-specific configurations
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config/domains/healthcare.yaml
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config/domains/retail.yaml
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config/domains/security.yaml
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# Hardware configurations
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config/hardware/routers.yaml
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config/hardware/processing.yaml
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```
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### Configuration Hierarchy
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Configuration is loaded in the following order (later values override earlier ones):
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1. Default values in [`src/config/settings.py`](../../src/config/settings.py)
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2. Environment-specific configuration files
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3. `.env` file
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4. Environment variables
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5. Command-line arguments
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## Environment Variables
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### Application Settings
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```bash
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# Basic application settings
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APP_NAME="WiFi-DensePose API"
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VERSION="1.0.0"
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ENVIRONMENT="development" # development, staging, production
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DEBUG=false
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# Server configuration
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HOST="0.0.0.0"
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PORT=8000
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RELOAD=false
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WORKERS=1
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```
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### Security Settings
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```bash
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# JWT Configuration
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SECRET_KEY="your-super-secret-key-change-in-production"
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JWT_ALGORITHM="HS256"
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JWT_EXPIRE_HOURS=24
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# CORS and Host Settings
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ALLOWED_HOSTS="localhost,127.0.0.1,your-domain.com"
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CORS_ORIGINS="http://localhost:3000,https://your-frontend.com"
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# Rate Limiting
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RATE_LIMIT_REQUESTS=100
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RATE_LIMIT_AUTHENTICATED_REQUESTS=1000
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RATE_LIMIT_WINDOW=3600 # seconds
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```
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### Database Configuration
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```bash
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# Database Settings
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DATABASE_URL="postgresql://user:password@localhost:5432/wifi_densepose"
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DATABASE_POOL_SIZE=10
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DATABASE_MAX_OVERFLOW=20
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# Redis Configuration
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REDIS_URL="redis://localhost:6379/0"
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REDIS_PASSWORD=""
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REDIS_DB=0
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```
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### Hardware Settings
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```bash
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# WiFi Interface
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WIFI_INTERFACE="wlan0"
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CSI_BUFFER_SIZE=1000
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HARDWARE_POLLING_INTERVAL=0.1
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# Development/Testing
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MOCK_HARDWARE=false
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MOCK_POSE_DATA=false
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```
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### Pose Estimation Settings
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```bash
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# Model Configuration
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POSE_MODEL_PATH="./models/densepose_model.pth"
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POSE_CONFIDENCE_THRESHOLD=0.5
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POSE_PROCESSING_BATCH_SIZE=32
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POSE_MAX_PERSONS=10
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# Streaming Settings
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STREAM_FPS=30
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STREAM_BUFFER_SIZE=100
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WEBSOCKET_PING_INTERVAL=60
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WEBSOCKET_TIMEOUT=300
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```
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### Storage Settings
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```bash
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# Storage Paths
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DATA_STORAGE_PATH="./data"
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MODEL_STORAGE_PATH="./models"
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TEMP_STORAGE_PATH="./temp"
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MAX_STORAGE_SIZE_GB=100
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```
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### Feature Flags
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```bash
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# Feature Toggles
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ENABLE_AUTHENTICATION=true
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ENABLE_RATE_LIMITING=true
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ENABLE_WEBSOCKETS=true
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ENABLE_HISTORICAL_DATA=true
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ENABLE_REAL_TIME_PROCESSING=true
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ENABLE_TEST_ENDPOINTS=false
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```
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## Domain-Specific Configuration
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### Healthcare Domain
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Healthcare deployments require enhanced privacy and accuracy settings:
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```yaml
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# config/domains/healthcare.yaml
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domain: healthcare
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description: "Healthcare monitoring and patient safety"
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detection:
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confidence_threshold: 0.8
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max_persons: 3
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tracking_enabled: true
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privacy_mode: true
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alerts:
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fall_detection:
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enabled: true
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sensitivity: 0.9
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notification_delay_seconds: 5
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emergency_contacts:
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- "nurse-station@hospital.com"
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- "+1-555-0123"
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inactivity_detection:
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enabled: true
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threshold_minutes: 30
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alert_levels: ["warning", "critical"]
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vital_signs_monitoring:
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enabled: true
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heart_rate_estimation: true
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breathing_pattern_analysis: true
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privacy:
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data_retention_days: 30
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anonymization_enabled: true
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audit_logging: true
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hipaa_compliance: true
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notifications:
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webhook_urls:
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- "https://hospital-system.com/api/alerts"
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mqtt_topics:
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- "hospital/room/{room_id}/alerts"
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email_alerts: true
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```
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### Retail Domain
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Retail deployments focus on customer analytics and traffic patterns:
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```yaml
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# config/domains/retail.yaml
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domain: retail
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description: "Retail analytics and customer insights"
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detection:
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confidence_threshold: 0.7
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max_persons: 15
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tracking_enabled: true
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zone_detection: true
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analytics:
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traffic_counting:
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enabled: true
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entrance_zones: ["entrance", "exit"]
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dwell_time_tracking: true
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heat_mapping:
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enabled: true
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zone_definitions:
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- name: "entrance"
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coordinates: [[0, 0], [100, 50]]
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- name: "electronics"
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coordinates: [[100, 0], [200, 100]]
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- name: "checkout"
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coordinates: [[200, 0], [300, 50]]
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conversion_tracking:
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enabled: true
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interaction_threshold_seconds: 10
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purchase_correlation: true
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privacy:
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data_retention_days: 90
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anonymization_enabled: true
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gdpr_compliance: true
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reporting:
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daily_reports: true
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weekly_summaries: true
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real_time_dashboard: true
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```
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### Security Domain
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Security deployments prioritize intrusion detection and perimeter monitoring:
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```yaml
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# config/domains/security.yaml
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domain: security
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description: "Security monitoring and intrusion detection"
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detection:
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confidence_threshold: 0.9
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max_persons: 10
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tracking_enabled: true
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motion_sensitivity: 0.95
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security:
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intrusion_detection:
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enabled: true
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restricted_zones:
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- name: "secure_area"
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coordinates: [[50, 50], [150, 150]]
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alert_immediately: true
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- name: "perimeter"
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coordinates: [[0, 0], [300, 300]]
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alert_delay_seconds: 10
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unauthorized_access:
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enabled: true
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authorized_persons: [] # Empty for general detection
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time_restrictions:
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- days: ["monday", "tuesday", "wednesday", "thursday", "friday"]
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hours: ["09:00", "17:00"]
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threat_assessment:
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enabled: true
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aggressive_behavior_detection: true
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crowd_formation_detection: true
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alerts:
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immediate_notification: true
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escalation_levels:
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- level: 1
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delay_seconds: 0
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contacts: ["security@company.com"]
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- level: 2
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delay_seconds: 30
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contacts: ["security@company.com", "manager@company.com"]
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- level: 3
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delay_seconds: 60
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contacts: ["security@company.com", "manager@company.com", "emergency@company.com"]
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integration:
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security_system_api: "https://security-system.com/api"
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camera_system_integration: true
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access_control_integration: true
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```
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## Hardware Configuration
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### Router Configuration
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```yaml
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# config/hardware/routers.yaml
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routers:
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- id: "router_001"
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type: "atheros"
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model: "TP-Link Archer C7"
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ip_address: "192.168.1.1"
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mac_address: "aa:bb:cc:dd:ee:01"
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location:
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room: "living_room"
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coordinates: [0, 0, 2.5] # x, y, z in meters
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csi_config:
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sampling_rate: 30 # Hz
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antenna_count: 3
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subcarrier_count: 56
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data_port: 5500
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- id: "router_002"
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type: "atheros"
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model: "Netgear Nighthawk"
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ip_address: "192.168.1.2"
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mac_address: "aa:bb:cc:dd:ee:02"
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location:
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room: "living_room"
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coordinates: [5, 0, 2.5]
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csi_config:
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sampling_rate: 30
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antenna_count: 3
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subcarrier_count: 56
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data_port: 5501
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network:
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csi_data_interface: "eth0"
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buffer_size: 1000
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timeout_seconds: 5
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retry_attempts: 3
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```
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### Processing Hardware Configuration
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```yaml
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# config/hardware/processing.yaml
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processing:
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cpu:
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cores: 8
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threads_per_core: 2
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optimization: "performance" # performance, balanced, power_save
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memory:
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total_gb: 16
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allocation:
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csi_processing: 4
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neural_network: 8
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api_services: 2
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system_overhead: 2
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gpu:
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enabled: true
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device_id: 0
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memory_gb: 8
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cuda_version: "11.8"
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optimization:
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batch_size: 32
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mixed_precision: true
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tensor_cores: true
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storage:
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data_drive:
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path: "/data"
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type: "ssd"
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size_gb: 500
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model_drive:
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path: "/models"
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type: "ssd"
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size_gb: 100
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temp_drive:
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path: "/tmp"
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type: "ram"
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size_gb: 8
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```
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## Performance Tuning
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### Processing Pipeline Optimization
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```bash
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# Neural Network Settings
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POSE_PROCESSING_BATCH_SIZE=32 # Adjust based on GPU memory
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POSE_CONFIDENCE_THRESHOLD=0.7 # Higher = fewer false positives
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POSE_MAX_PERSONS=5 # Limit for performance
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# Streaming Optimization
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STREAM_FPS=30 # Reduce for lower bandwidth
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STREAM_BUFFER_SIZE=100 # Increase for smoother streaming
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WEBSOCKET_PING_INTERVAL=60 # Connection keep-alive
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# Database Optimization
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DATABASE_POOL_SIZE=20 # Increase for high concurrency
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DATABASE_MAX_OVERFLOW=40 # Additional connections when needed
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# Caching Settings
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REDIS_URL="redis://localhost:6379/0"
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CACHE_TTL_SECONDS=300 # Cache expiration time
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```
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### Resource Allocation
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```yaml
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# docker-compose.override.yml
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version: '3.8'
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services:
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wifi-densepose-api:
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deploy:
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resources:
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limits:
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cpus: '4.0'
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memory: 8G
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reservations:
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cpus: '2.0'
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memory: 4G
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environment:
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- WORKERS=4
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- POSE_PROCESSING_BATCH_SIZE=64
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neural-network:
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deploy:
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resources:
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limits:
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cpus: '2.0'
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memory: 6G
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reservations:
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cpus: '1.0'
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memory: 4G
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runtime: nvidia
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environment:
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- CUDA_VISIBLE_DEVICES=0
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```
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### Performance Monitoring
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```bash
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# Enable performance monitoring
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PERFORMANCE_MONITORING=true
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METRICS_ENABLED=true
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HEALTH_CHECK_INTERVAL=30
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# Logging for performance analysis
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LOG_LEVEL="INFO"
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LOG_PERFORMANCE_METRICS=true
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LOG_SLOW_QUERIES=true
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SLOW_QUERY_THRESHOLD_MS=1000
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```
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## Security Configuration
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### Authentication and Authorization
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```bash
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# JWT Configuration
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SECRET_KEY="$(openssl rand -base64 32)" # Generate secure key
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JWT_ALGORITHM="HS256"
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JWT_EXPIRE_HOURS=8 # Shorter expiration for production
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# API Key Configuration
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API_KEY_LENGTH=32
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API_KEY_EXPIRY_DAYS=90
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API_KEY_ROTATION_ENABLED=true
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```
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### Network Security
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```bash
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# HTTPS Configuration
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ENABLE_HTTPS=true
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SSL_CERT_PATH="/etc/ssl/certs/wifi-densepose.crt"
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SSL_KEY_PATH="/etc/ssl/private/wifi-densepose.key"
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# Firewall Settings
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ALLOWED_IPS="192.168.1.0/24,10.0.0.0/8"
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BLOCKED_IPS=""
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RATE_LIMIT_ENABLED=true
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```
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### Data Protection
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```bash
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# Encryption Settings
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DATABASE_ENCRYPTION=true
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DATA_AT_REST_ENCRYPTION=true
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BACKUP_ENCRYPTION=true
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# Privacy Settings
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ANONYMIZATION_ENABLED=true
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DATA_RETENTION_DAYS=30
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AUDIT_LOGGING=true
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GDPR_COMPLIANCE=true
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```
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## Integration Settings
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### MQTT Configuration
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```bash
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# MQTT Broker Settings
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MQTT_BROKER_HOST="localhost"
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MQTT_BROKER_PORT=1883
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MQTT_USERNAME="wifi_densepose"
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MQTT_PASSWORD="secure_password"
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MQTT_TLS_ENABLED=true
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# Topic Configuration
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MQTT_TOPIC_PREFIX="wifi-densepose"
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MQTT_QOS_LEVEL=1
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MQTT_RETAIN_MESSAGES=false
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```
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### Webhook Configuration
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```bash
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# Webhook Settings
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WEBHOOK_TIMEOUT_SECONDS=30
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WEBHOOK_RETRY_ATTEMPTS=3
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WEBHOOK_RETRY_DELAY_SECONDS=5
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# Security
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WEBHOOK_SIGNATURE_ENABLED=true
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WEBHOOK_SECRET_KEY="webhook_secret_key"
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```
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### External API Integration
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```bash
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# Restream Integration
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RESTREAM_API_KEY="your_restream_api_key"
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RESTREAM_ENABLED=false
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RESTREAM_PLATFORMS="youtube,twitch"
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# Third-party APIs
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EXTERNAL_API_TIMEOUT=30
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EXTERNAL_API_RETRY_ATTEMPTS=3
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```
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## Monitoring and Logging
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### Logging Configuration
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```bash
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# Log Levels
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LOG_LEVEL="INFO" # DEBUG, INFO, WARNING, ERROR, CRITICAL
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LOG_FORMAT="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
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# Log Files
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LOG_FILE="/var/log/wifi-densepose/app.log"
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LOG_MAX_SIZE=10485760 # 10MB
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LOG_BACKUP_COUNT=5
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# Structured Logging
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LOG_JSON_FORMAT=true
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LOG_CORRELATION_ID=true
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```
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### Metrics and Monitoring
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```bash
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# Prometheus Metrics
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METRICS_ENABLED=true
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METRICS_PORT=9090
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METRICS_PATH="/metrics"
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# Health Checks
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HEALTH_CHECK_INTERVAL=30
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HEALTH_CHECK_TIMEOUT=10
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DEEP_HEALTH_CHECKS=true
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# Performance Monitoring
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PERFORMANCE_MONITORING=true
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SLOW_QUERY_LOGGING=true
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RESOURCE_MONITORING=true
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```
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## Advanced Configuration
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### Custom Model Configuration
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```yaml
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# config/models/custom_model.yaml
|
|
model:
|
|
name: "custom_densepose_v2"
|
|
path: "./models/custom_densepose_v2.pth"
|
|
type: "pytorch"
|
|
|
|
preprocessing:
|
|
input_size: [256, 256]
|
|
normalization:
|
|
mean: [0.485, 0.456, 0.406]
|
|
std: [0.229, 0.224, 0.225]
|
|
|
|
inference:
|
|
batch_size: 32
|
|
device: "cuda:0"
|
|
precision: "fp16" # fp32, fp16, int8
|
|
|
|
postprocessing:
|
|
confidence_threshold: 0.7
|
|
nms_threshold: 0.5
|
|
max_detections: 10
|
|
```
|
|
|
|
### Environment-Specific Overrides
|
|
|
|
```bash
|
|
# config/environments/production.env
|
|
ENVIRONMENT=production
|
|
DEBUG=false
|
|
LOG_LEVEL=WARNING
|
|
WORKERS=8
|
|
POSE_PROCESSING_BATCH_SIZE=64
|
|
ENABLE_TEST_ENDPOINTS=false
|
|
MOCK_HARDWARE=false
|
|
```
|
|
|
|
```bash
|
|
# config/environments/development.env
|
|
ENVIRONMENT=development
|
|
DEBUG=true
|
|
LOG_LEVEL=DEBUG
|
|
WORKERS=1
|
|
RELOAD=true
|
|
MOCK_HARDWARE=true
|
|
ENABLE_TEST_ENDPOINTS=true
|
|
```
|
|
|
|
### Configuration Validation
|
|
|
|
The system automatically validates configuration on startup:
|
|
|
|
```bash
|
|
# Run configuration validation
|
|
python -m src.config.validate
|
|
|
|
# Check specific configuration
|
|
python -c "
|
|
from src.config.settings import get_settings, validate_settings
|
|
settings = get_settings()
|
|
issues = validate_settings(settings)
|
|
if issues:
|
|
print('Configuration issues:')
|
|
for issue in issues:
|
|
print(f' - {issue}')
|
|
else:
|
|
print('Configuration is valid')
|
|
"
|
|
```
|
|
|
|
### Dynamic Configuration Updates
|
|
|
|
Some settings can be updated without restarting the system:
|
|
|
|
```bash
|
|
# Update detection settings
|
|
curl -X PUT http://localhost:8000/api/v1/config \
|
|
-H "Content-Type: application/json" \
|
|
-d '{
|
|
"detection": {
|
|
"confidence_threshold": 0.8,
|
|
"max_persons": 3
|
|
}
|
|
}'
|
|
|
|
# Update alert settings
|
|
curl -X PUT http://localhost:8000/api/v1/config \
|
|
-H "Content-Type: application/json" \
|
|
-d '{
|
|
"alerts": {
|
|
"fall_detection": {
|
|
"sensitivity": 0.9
|
|
}
|
|
}
|
|
}'
|
|
```
|
|
|
|
## Configuration Best Practices
|
|
|
|
### Security Best Practices
|
|
|
|
1. **Use Strong Secret Keys**: Generate cryptographically secure keys
|
|
2. **Restrict CORS Origins**: Don't use wildcards in production
|
|
3. **Enable Rate Limiting**: Protect against abuse
|
|
4. **Use HTTPS**: Encrypt all communications
|
|
5. **Regular Key Rotation**: Rotate API keys and JWT secrets
|
|
|
|
### Performance Best Practices
|
|
|
|
1. **Right-size Resources**: Allocate appropriate CPU/memory
|
|
2. **Use GPU Acceleration**: Enable CUDA for neural network processing
|
|
3. **Optimize Batch Sizes**: Balance throughput and latency
|
|
4. **Configure Caching**: Use Redis for frequently accessed data
|
|
5. **Monitor Resource Usage**: Set up alerts for resource exhaustion
|
|
|
|
### Operational Best Practices
|
|
|
|
1. **Environment Separation**: Use different configs for dev/staging/prod
|
|
2. **Configuration Validation**: Validate settings before deployment
|
|
3. **Backup Configurations**: Version control all configuration files
|
|
4. **Document Changes**: Maintain change logs for configuration updates
|
|
5. **Test Configuration**: Validate configuration in staging environment
|
|
|
|
---
|
|
|
|
For more specific configuration examples, see:
|
|
- [Hardware Setup Guide](../hardware/router-setup.md)
|
|
- [API Reference](api-reference.md)
|
|
- [Deployment Guide](../developer/deployment-guide.md) |