https://github.com/mdhiggins/sonarr-sma
Sonarr docker based on linuxserver/sonarr with SMA built in using python3
https://github.com/mdhiggins/sonarr-sma
Last synced: 6 months ago
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Sonarr docker based on linuxserver/sonarr with SMA built in using python3
- Host: GitHub
- URL: https://github.com/mdhiggins/sonarr-sma
- Owner: mdhiggins
- License: mit
- Created: 2018-07-13T20:12:49.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2024-11-16T20:49:13.000Z (7 months ago)
- Last Synced: 2024-12-11T04:51:15.123Z (6 months ago)
- Language: Python
- Size: 168 KB
- Stars: 39
- Watchers: 1
- Forks: 20
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Official SMA container based on linuxserver/sonarr
Docker container for Sonarr that includes all FFMPEG and python requirements to run SMA with Sonarr.
## Version Tags
|Tag|Description|
|---|---|
|latest|Stable release from linuxserver/sonarr with FFMPEG compiled from linuxserver/ffmpeg|
|develop|Develop release from linuxserver/sonarr with FFMPEG compiled from linuxserver/ffmpeg|
## Usage
### docker-compose
~~~yml
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}
~~~
### autoProcess.ini
- 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
### Python Environment
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
## Configuring Sonarr
### Enable completed download handling
- Settings > Download Client > Completed Download Handling > Enable: Yes
### Add Custom Script
- Settings > Connect > + Add > Custom Script
|Parameter|Value|
|---|---|
|On Grab| No|
|On Import| Yes|
|On Upgrade| Yes|
|On Rename| No|
|Path|`/usr/local/sma/postSonarr.sh`|
**Make sure you're using the .sh file, no the .py file, the .sh file points to the appropriate virtual environment**
## Logs
Located at `/usr/local/sma/config/sma.log` inside the container and your mounted config folder
## Environment Variables
|Variable|Description|
|---|---|
|PUID|User ID|
|PGID|Group ID|
|HOST|Local IP address for callback requests, default `127.0.0.1`|
|SMA_PATH|`/usr/local/sma`|
|SMA_UPDATE|Default `false`. Set `true` to pull git update of SMA on restart|
|SMA_FFMPEG_URL|If provided, override linuxserver/ffmpeg with a static build provided by the URL|
|SMA_STRIP_COMPONENTS|Default `1`. Number of components to strip from your tar.xz file when extracting so that FFmpeg binaries land in `/usr/local/bin`|
## Hardware Acceleration
The default image is built with [linuxserver/ffmpeg](https://hub.docker.com/r/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](https://github.com/NVIDIA/nvidia-container-toolkit).
### VAAPI docker-compose sample
~~~yml
services:
sonarr:
container_name: sonarr
devices:
- /dev/dri/renderD128:/dev/dri/renderD128
~~~
### NVIDIA / NVEnc NVDec docker-compose sample
~~~yml
services:
sonarr:
container_name: sonarr
runtime: nvidia
~~~