services:
  tdarr-node:
    container_name: tdarr-node-gpu
    image: haveagitgat/tdarr_node:latest
    restart: unless-stopped
    network_mode: bridge
    environment:
      - TZ=America/Edmonton
      - serverIP=172.16.201.203
      - serverPort=8266
      - nodeName=RTX3050-Node
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=all,video,compute,utility
      - LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu:/usr/local/nvidia/lib64
    volumes:
      - /docker/tdarr/configs:/app/configs
      - /docker/tdarr/logs:/app/logs
      - /mnt:/media
      - /pool:/media/pool     # Must match the Server's mount path exactly
      - /temp:/temp                # Crucial: Must be shared/identical path to Server
      - /usr/bin/nvidia-smi:/usr/bin/nvidia-smi:ro
      - /usr/lib/x86_64-linux-gnu/libcuda.so.1:/usr/lib/x86_64-linux-gnu/libcuda.so.1:ro
      - /usr/lib/x86_64-linux-gnu/libcuda.so:/usr/lib/x86_64-linux-gnu/libcuda.so:ro
      - /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.1:/usr/lib/x86_64-linux-gnu/libnvidia-ml.so.1:ro
      - /usr/lib/x86_64-linux-gnu/libnvidia-encode.so.1:/usr/lib/x86_64-linux-gnu/libnvidia-encode.so.1:ro
      - /usr/lib/x86_64-linux-gnu/libnvcuvid.so.1:/usr/lib/x86_64-linux-gnu/libnvcuvid.so.1:ro
      - /usr/lib/x86_64-linux-gnu/libnvcuvid.so.580.126.09:/usr/lib/x86_64-linux-gnu/libnvcuvid.so.1:ro
    devices:
      - /dev/nvidia0:/dev/nvidia0
      - /dev/nvidiactl:/dev/nvidiactl
      - /dev/nvidia-uvm:/dev/nvidia-uvm
      - /dev/nvidia-uvm-tools:/dev/nvidia-uvm-tools