services:
  sparkdash:
    build:
      context: .
      dockerfile: Dockerfile
      platforms:
        - linux/arm64
    container_name: sparkDash
    # always: come back after host reboot even if the container was stopped
    # before shutdown (unlike unless-stopped, which stays down after a manual stop).
    restart: always
    # Auto-restart Node when ./server files change (no image rebuild)
    command: ["node", "--watch", "server/index.js"]
    # Host network so local LLM probes reach loopback-bound servers
    # (ds4-server / start.sh default --host 127.0.0.1). Bridge NAT cannot
    # reach the host's 127.0.0.1, and LAN-IP probes miss loopback binds.
    network_mode: host
    privileged: true
    # Share host PID namespace so nvidia-smi compute-apps sees GPU processes
    # (otherwise local VRAM falls back to minute-old config/gpu-memory.json).
    pid: host
    volumes:
      # Live server code — edits apply after --watch reloads the process
      - ./server:/app/server
      # Mount host filesystem for local Spark metrics
      - /proc:/host/proc:ro
      - /sys:/host/sys:ro
      - /:/host/root:ro
      # Mount nvidia-smi + driver libs (fallback if nsenter host path fails)
      - /usr/bin/nvidia-smi:/usr/bin/nvidia-smi:ro
      - /usr/lib/aarch64-linux-gnu/libnvidia-ml.so.1:/usr/lib/aarch64-linux-gnu/libnvidia-ml.so.1:ro
      # Config + encrypted secrets (passwords survive restarts)
      - ./config:/app/config
    environment:
      - BIND_HOST=0.0.0.0
      - PORT=5555
      - LLM_PORT=8888
      - NODE_ENV=production
      - HOST_PROC_PATH=/host/proc
      - HOST_SYS_PATH=/host/sys
      - HOST_ROOT_PATH=/host/root