# Linux driver and daemon for Thermaltake Riing
## Compatibility
Python3 only.
Currently supported devices are (as they show up in thermaltakes TTRGBPLUS software:
Flow Riing RGB
Lumi Plus LED Strip
Pacific PR22-D5 Plus
Pacific Rad Plus LED Panel
Pacific V-GTX 1080Ti Plus GPU Waterblock
Pacific W4 Plus CPU Waterblock
Riing Plus
If your's isnt listed, please create an issue and I'll implement it ASAP!!
## Installation
### Pypi
The setup file will create the systemd user unit, and udev rule
`sudo pip3 install linux_thermaltake_rgb`
then add your user to the `plugdev` group - `sudo usermod -a -G plugdev <user>`
start and enable the systemd service
`systemctl --user start linux-thermaltake-rgb.service; systemctl --user enable linux-thermaltake-rgb.service`
then reconnect your device.
note: you may need to log out and back in so your user is recognised as being in the `plugdev` group
## Configuration
when installed with `pip3` default configuration is in `/etc/linux_thermaltake_rgb/config.yml`
edit and configure suitably.
example config is in `linux_thermaltake_rgb/assets/config.yml`
## Compatibility
Python3 only.
Currently supported devices are (as they show up in thermaltakes TTRGBPLUS software:
Flow Riing RGB
Lumi Plus LED Strip
Pacific PR22-D5 Plus
Pacific Rad Plus LED Panel
Pacific V-GTX 1080Ti Plus GPU Waterblock
Pacific W4 Plus CPU Waterblock
Riing Plus
If your's isnt listed, please create an issue and I'll implement it ASAP!!
## Installation
### Pypi
The setup file will create the systemd user unit, and udev rule
`sudo pip3 install linux_thermaltake_rgb`
then add your user to the `plugdev` group - `sudo usermod -a -G plugdev <user>`
start and enable the systemd service
`systemctl --user start linux-thermaltake-rgb.service; systemctl --user enable linux-thermaltake-rgb.service`
then reconnect your device.
note: you may need to log out and back in so your user is recognised as being in the `plugdev` group
## Configuration
when installed with `pip3` default configuration is in `/etc/linux_thermaltake_rgb/config.yml`
edit and configure suitably.
example config is in `linux_thermaltake_rgb/assets/config.yml`
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