# InfoXtractor Docker Compose stack.
#
# Single service. Uses host networking so the container can reach:
#   - Ollama at 127.0.0.1:11434
#   - postgis at 127.0.0.1:5431 (bound to loopback only; security hardening)
# Both services are LAN-hardened on the host and never exposed publicly,
# so host-network access stays on-prem. This matches the `goldstein`
# container pattern on the same server.
#
# The GPU reservation block matches immich-ml / the shape Docker Compose
# expects for GPU allocation on this host.

services:
  infoxtractor:
    build: .
    container_name: infoxtractor
    network_mode: host
    restart: always
    env_file: .env
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]
    volumes:
      # Persist Surya (datalab) + HuggingFace model caches so rebuilds don't
      # re-download ~1.5 GB of weights every time.
      - ix_surya_cache:/root/.cache/datalab
      - ix_hf_cache:/root/.cache/huggingface
    labels:
      infrastructure.web_url: "http://192.168.68.42:8994"
      backup.enable: "true"
      backup.type: "postgres"
      backup.name: "infoxtractor"

volumes:
  ix_surya_cache:
  ix_hf_cache: