services:
  video-render-new:
    restart: unless-stopped
    build: .
    container_name: video-render-new
    environment:
      # RabbitMQ credentials
      - RABBITMQ_PASS=${RABBITMQ_PASS}
      - RABBITMQ_HOST=${RABBITMQ_HOST}
      - RABBITMQ_USER=${RABBITMQ_USER}
      - RABBITMQ_PORT=${RABBITMQ_PORT}
      - RABBITMQ_QUEUE=${RABBITMQ_QUEUE}
      - RABBITMQ_UPLOAD_QUEUE=${RABBITMQ_UPLOAD_QUEUE}
      # API keys for the LLMs
      - GEMINI_API_KEY=${GEMINI_API_KEY}
      - OPENROUTER_API_KEY=${OPENROUTER_API_KEY}
      - OPENROUTER_MODEL=${OPENROUTER_MODEL}
      # Optional whisper settings
      - WHISPER_MODEL=${WHISPER_MODEL}
      - WHISPER_DEVICE=${WHISPER_DEVICE}
      - WHISPER_COMPUTE_TYPE=${WHISPER_COMPUTE_TYPE}
    volumes:
      # Mount host directories into the container so that videos can be
      # provided and outputs collected. These paths can be customised when
      # deploying the stack. The defaults assume /root/videos and
      # /root/outputs on the host.
      - "/root/videos:/app/videos"
      - "/root/outputs:/app/outputs"
    command: "python -u main.py"
    networks:
      - dokploy-network

networks:
  dokploy-network:
    external: true