# Forensic Features API — Docker Compose
#
# Build:   docker compose build
# Up:      docker compose up -d
# Logs:    docker compose logs -f api
# Down:    docker compose down

name: forensic-features

services:
  api:
    build:
      context: .
      dockerfile: Dockerfile
    image: forensic-features:latest
    container_name: forensic-features-api
    restart: unless-stopped

    ports:
      # Localhost only — DiDi agent-v3 ajunge via didi-network DNS
      - "127.0.0.1:${API_PORT:-8085}:8080"

    environment:
      API_HOST: "0.0.0.0"
      API_PORT: "8080"
      PYTHONUNBUFFERED: "1"
      PYTHONDONTWRITEBYTECODE: "1"
      OTEL_EXPORTER_OTLP_ENDPOINT: ${OTEL_EXPORTER_OTLP_ENDPOINT:-http://didi-otel-collector:4317}
      OTEL_SERVICE_NAME: forensic-features-api

    volumes:
      # Persistent dir for debug/artifacts (heatmaps, evidence JSON)
      - api_data:/app/data

    networks:
      - didi-network

    healthcheck:
      test: ["CMD", "curl", "--fail", "--silent", "--max-time", "5",
             "http://localhost:8080/health"]
      interval: 30s
      timeout: 10s
      start_period: 30s
      retries: 3

    # Each request consumes ~2-3 GB peak (frame extraction + MediaPipe + ffmpeg).
    # Adjust based on expected concurrency.
    deploy:
      resources:
        limits:
          memory: 4G
          cpus: "4.0"
        reservations:
          memory: 1G
          cpus: "1.0"

    logging:
      driver: "json-file"
      options:
        max-size: "50m"
        max-file: "3"


volumes:
  api_data:
    driver: local

networks:
  didi-network:
    external: true