The Python-based backend for RealistikGDPS, made as an expandable solution for a GDPS of any size.
This is a modern Python implementation of the Geometry Dash server protocol meant to power my Geometry Dash Private server. It is written in asynchronous, modern Python and is meant as a replacement for our current PHP based infrastructure.
- Fully Dockerised, allowing for easy setup
- MeiliSearch, allowing for typo tolerance
- S3 support, allowing for flexible storage solutions
- Ensure Docker and Make are installed on your system.
- Create a copy of the
.env.example
file named.env
and adjust it to your liking. - Run
make build
to build the RealistikGDPS image. - Run
make run
to run everything.
TODO: Non-docker setup instructions.
You may use environment variables (no .env
file support yet) for config by setting the USE_ENV_CONFIG
variable to "1".
As previously mentioned, RealistikGDPS currently supports two ways of configuring the server.
The Docker configuration process is by far the simplest as it includes all services in one.
-
Create a copy of
.env.example
named.env
This creates a copy of the default config with all the field names ready for editing. -
Edit the
.env
file to your liking Due to the all-in-one nature of Docker, the defaults are unlikely to require any changing with the exceptionSRV_NAME
, representing the name of your GDPS.
Configuring a bare instance of RealistikGDPS requires more work as you are responsible for setting up the services (such as MySQL and Redis). This means that the majority of the configuration is setup dependent.
By default, RealistikGDPS will generate a config.json
file on first run that you are able to edit with all the fields present.
Equally, you may select to use environment variables for configuration if the USE_ENV_CONFIG
var is set to "1".
Both methods accept the same values (identical names).
Assuming your server is based off Cvolton's server implementation, there will be a migration utility created in the near future.