services:
  optimisarr:
    image: ghcr.io/jellman86/optimisarr:dev
    container_name: optimisarr
    restart: unless-stopped
    stop_grace_period: 2h5m
    ports:
      - "${OPTIMISARR_PORT:-8787}:8787"
    environment:
      PUID: "${PUID:-1000}"
      PGID: "${PGID:-1000}"
      UMASK: "${UMASK:-002}"
      TZ: "${TZ:-Europe/London}"
      ASPNETCORE_URLS: "http://0.0.0.0:8787"
      OPTIMISARR_CONFIG_DIR: "${OPTIMISARR_CONFIG_DIR:-/config}"
      OPTIMISARR_WORK_DIR: "${OPTIMISARR_WORK_DIR:-/data/.optimisarr/work}"
      OPTIMISARR_TRASH_DIR: "${OPTIMISARR_TRASH_DIR:-/data/.optimisarr/trash}"
      Logging__LogLevel__Default: "${OPTIMISARR_LOG_LEVEL:-Information}"
    volumes:
      - ./config:/config
      # Mount one common parent. Libraries, work, and quarantine below /data can then use
      # atomic moves; a deliberately separate scratch mount requires the verified fallback.
      - /path/to/storage:/data
    # --- Intel iGPU (e.g. N100) / AMD GPU: VA-API + Intel QSV ---
    # Map the render node and add the container user to the host's "render" group so it
    # can open it. Find the GID with:  stat -c '%g' /dev/dri/renderD128
    # Set RENDER_GID to that value (107 on the documented TrueNAS SCALE setup).
    # Remove this block and the
    # group_add line if the host has no /dev/dri. Transcoding uses the bundled
    # jellyfin-ffmpeg, which ships the Intel iHD driver + oneVPL, so no host driver
    # packages are needed — only the device and group access.
    devices:
      - /dev/dri:/dev/dri
    group_add:
      - "${RENDER_GID:-107}"

  # --- NVIDIA GPU (NVENC) ---
  # Install the NVIDIA Container Toolkit on the host, then add the reservation below AND
  # the two NVIDIA_* environment variables to the optimisarr service above. No /dev/dri or
  # group_add is needed for NVENC.
  #
  # IMPORTANT: NVIDIA_DRIVER_CAPABILITIES must include "video" — without it the NVENC
  # library (libnvidia-encode.so) is not injected and hardware encoding fails with
  # "Cannot load libnvidia-encode.so.1" even though nvidia-smi works. The plain `--gpus all`
  # default only grants "compute,utility".
  #
  #   environment:
  #     NVIDIA_VISIBLE_DEVICES: "all"
  #     NVIDIA_DRIVER_CAPABILITIES: "compute,video,utility"
  #
  #   deploy:
  #     resources:
  #       reservations:
  #         devices:
  #           - driver: nvidia
  #             count: 1
  #             capabilities: [gpu]