# Install Docker and Docker Compose
curl -fsSL https://get.docker.com -o get-docker.sh
sudo sh get-docker.sh
sudo usermod -aG docker $USER

# Install Docker Compose
sudo curl -L "https://github.com/docker/compose/releases/latest/download/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose

# Clone the repository
git clone https://github.com/your-org/wifi-densepose.git
cd wifi-densepose

# Copy environment configuration
cp .env.example .env

# Edit configuration (see Configuration section)
nano .env

# Start the system
docker-compose up -d

# Ubuntu/Debian
sudo apt update
sudo apt install -y python3.9 python3.9-pip python3.9-venv
sudo apt install -y build-essential cmake
sudo apt install -y libopencv-dev ffmpeg

# CentOS/RHEL
sudo yum update
sudo yum install -y python39 python39-pip
sudo yum groupinstall -y "Development Tools"
sudo yum install -y opencv-devel ffmpeg

# Create virtual environment
python3.9 -m venv venv
source venv/bin/activate

# Install requirements
pip install -r requirements.txt

# Install PyTorch with CUDA support (if GPU available)
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

# Install in development mode
pip install -e .

# Or install from PyPI (when available)
pip install wifi-densepose

# Copy the example configuration
cp .env.example .env

# Application settings
APP_NAME="WiFi-DensePose API"
VERSION="1.0.0"
ENVIRONMENT="development"
DEBUG=true

# Server settings
HOST="0.0.0.0"
PORT=8000

# Security settings (CHANGE IN PRODUCTION!)
SECRET_KEY="your-secret-key-here"
JWT_EXPIRE_HOURS=24

# Hardware settings
WIFI_INTERFACE="wlan0"
CSI_BUFFER_SIZE=1000
MOCK_HARDWARE=true  # Set to false when using real hardware

# Pose estimation settings
POSE_CONFIDENCE_THRESHOLD=0.5
POSE_MAX_PERSONS=5

# Storage settings
DATA_STORAGE_PATH="./data"
MODEL_STORAGE_PATH="./models"

# Start all services
docker-compose up -d

# Check service status
docker-compose ps

# View logs
docker-compose logs -f

# Activate virtual environment
source venv/bin/activate

# Start the API server
python -m src.api.main

# Or use uvicorn directly
uvicorn src.api.main:app --host 0.0.0.0 --port 8000 --reload

# Check API health
curl http://localhost:8000/health

# Expected response:
# {"status": "healthy", "timestamp": "2025-01-07T10:00:00Z"}

# Set healthcare-specific settings
export DOMAIN="healthcare"
export POSE_CONFIDENCE_THRESHOLD=0.8
export ENABLE_FALL_DETECTION=true
export ALERT_SENSITIVITY=0.9

# Set retail-specific settings
export DOMAIN="retail"
export POSE_CONFIDENCE_THRESHOLD=0.7
export ENABLE_TRAFFIC_ANALYTICS=true
export ZONE_TRACKING=true

# Set security-specific settings
export DOMAIN="security"
export POSE_CONFIDENCE_THRESHOLD=0.9
export ENABLE_INTRUSION_DETECTION=true
export ALERT_IMMEDIATE=true

# Default SQLite database (no additional configuration needed)
DATABASE_URL="sqlite:///./data/wifi_densepose.db"

# Install PostgreSQL with TimescaleDB extension
sudo apt install postgresql-14 postgresql-14-timescaledb

# Configure database
DATABASE_URL="postgresql://user:password@localhost:5432/wifi_densepose"
DATABASE_POOL_SIZE=10
DATABASE_MAX_OVERFLOW=20

# Install Redis
sudo apt install redis-server

# Configure Redis
REDIS_URL="redis://localhost:6379/0"
REDIS_PASSWORD=""  # Set password for production

# Using Docker
docker-compose up -d

# Using native installation
python -m src.api.main

# Check system status
curl http://localhost:8000/api/v1/system/status

# Start pose estimation system
curl -X POST http://localhost:8000/api/v1/system/start \
  -H "Content-Type: application/json" \
  -d '{
    "configuration": {
      "domain": "general",
      "environment_id": "room_001",
      "calibration_required": true
    }
  }'

# Get latest pose data
curl http://localhost:8000/api/v1/pose/latest

# Get historical data
curl "http://localhost:8000/api/v1/pose/history?limit=10"

// Connect to WebSocket
const ws = new WebSocket('ws://localhost:8000/ws/pose');

// Subscribe to pose updates
ws.onopen = function() {
  ws.send(JSON.stringify({
    type: 'subscribe',
    channel: 'pose_updates',
    filters: {
      min_confidence: 0.7
    }
  }));
};

// Handle pose data
ws.onmessage = function(event) {
  const data = JSON.parse(event.data);
  console.log('Pose data:', data);
};

# Check logs
docker-compose logs

# Common solutions:
# - Verify port 8000 is available
# - Check environment variables
# - Ensure sufficient disk space

# Check hardware status
curl http://localhost:8000/api/v1/system/status

# Verify router connectivity
ping 192.168.1.1

# Check CSI data reception
netstat -an | grep 5500

# Adjust confidence threshold
curl -X PUT http://localhost:8000/api/v1/config \
  -H "Content-Type: application/json" \
  -d '{"detection": {"confidence_threshold": 0.6}}'

# Recalibrate environment
curl -X POST http://localhost:8000/api/v1/system/calibrate

# Check resource usage
docker stats

# Optimize settings
export POSE_PROCESSING_BATCH_SIZE=16
export STREAM_FPS=15

# View application logs
docker-compose logs wifi-densepose-api

# View system logs
journalctl -u wifi-densepose

# Enable debug logging
export LOG_LEVEL="DEBUG"

# Comprehensive system check
curl http://localhost:8000/api/v1/system/status

# Component-specific checks
curl http://localhost:8000/api/v1/hardware/status
curl http://localhost:8000/api/v1/processing/status