Docker container for Sonarr that includes all FFMPEG and python requirements to run SMA with Sonarr.

As of 3/9/2020 the containers were overhauled and the location of the script was changed from /usr/local/bin/sma/sickbeard_mp4_automator to /usr/local/sma. The autoProcess mount point has been modified as well to be more docker friendly in a /usr/local/sma/config directory. Please review and update accordingly.

services:
  sonarr:
    image: mdhiggins/sonarr-sma
    container_name: sonarr
    volumes:
      - /opt/appdata/sonarr:/config
      - /opt/appdata/sma:/usr/local/sma/config
      - /mnt/storage/tv:/tv
      - /mnt/storage/downloads:/downloads
    ports:
      - 8989:8989
    restart: always
    environment:
      - PUID=${PUID}
      - PGID=${PGID}

• Mount autoProcess.ini containing directory to /usr/local/sma/config using volumes
• Consider making this writable as new options will be auto written to the config as they are added
• Sonarr configuration options are read from config.xml inside the container and injected at runtime into autoProcess.ini
• ffmpeg
• ffprobe
• host (read from environment variable or set to 127.0.0.1)
• web_root
• port
• ssl

The script installs all dependencies in a virtual environment, not the container/system level Python environment. In order to use the Python environment with the dependencies installed, please execute using /usr/local/sma/venv/bin/python3. Use this same Python executable if using manual.py

• Settings > Download Client > Completed Download Handling > Enable: Yes

• Settings > Connect > + Add > Custom Script

Make sure you're using the .sh file, no the .py file, the .sh file points to the appropriate virtual environment

Located at /usr/local/sma/config/sma.log inside the container and your mounted config folder

The default image is built with linuxserver/ffmpeg, which supports VAAPI, QSV, and NVEnc/NVDec.

For VAAPI/QSV, you need to mount the hardware device from /dev/dri.

Nvidia GPU support requires the nvidia runtime, available by installing nvidia-container-toolkit.

services:
  sonarr:
    container_name: sonarr
    devices:
      - /dev/dri/renderD128:/dev/dri/renderD128

services:
  sonarr:
    container_name: sonarr
    runtime: nvidia

Using the build tag leverages multi-stage docker builds to generate FFMPEG compiled using jrottenberg/ffmpeg's containers. This allows flexibility with building FFMPEG using special options such as VAAPI or NVENC (though these are now included by default in the default linuxserver/ffmpeg image). Building locally allows ARG values to be set to change the underlying parent container tags as below. It is recommended that you match your Ubuntu version in the ffmpeg_tag and sonarr_tag to ensure no missing dependencies.