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PayShield-ML
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version: '3.8'

services:
  redis:
    image: redis:7-alpine
    container_name: payshield-redis
    ports:
      - "6379:6379"
    volumes:
      - redis_data:/data
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 5s
      timeout: 3s
      retries: 5
    networks:
      - payshield-network

  api:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: payshield-api
    depends_on:
      redis:
        condition: service_healthy
    ports:
      - "8000:8000"
    environment:
      - REDIS_HOST=redis
      - REDIS_PORT=6379
      - MODEL_PATH=/app/models/fraud_model.pkl
      - THRESHOLD_PATH=/app/models/threshold.json
      - SHADOW_MODE=false
    volumes:
      - ./models:/app/models:ro
      - ./logs:/app/logs
    networks:
      - payshield-network

  # Placeholder for Phase 6 Dashboard
  dashboard:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: payshield-dashboard
    depends_on:
      - api
    command: ["streamlit", "run", "src/frontend/app.py", "--server.port", "8501", "--server.address", "0.0.0.0"]
    ports:
      - "8501:8501"
    environment:
      - API_URL=http://api:8000/v1/predict
    networks:
      - payshield-network
    restart: unless-stopped

networks:
  payshield-network:
    driver: bridge

volumes:
  redis_data: