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RealistikGDPS

The Python-based backend for RealistikGDPS, made as an expandable solution for a GDPS of any size.

For support and a public running instance, please visit our Discord!

What is this?

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.

Interesting Features

  • Fully Dockerised, allowing for easy setup
  • MeiliSearch, allowing for typo tolerance
  • S3 support, allowing for flexible storage solutions
  • Proper ratelimiting
  • Logz.io logging support
  • Flexible command framework

How to set up?

  • 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.

Configuration

As previously mentioned, RealistikGDPS currently supports two ways of configuring the server. In both cases the configuration is done through the .env file.

  • 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 exception SRV_NAME, representing the name of your GDPS.

Upgrading an existing server

Assuming your server is based off Cvolton's server implementation, there exists a migration utility for this built right into the codebase.

This is done by importing your old database into a database named old_gdps and running make converter (assuming you are using Docker). This will fill all empty tables with data from the old table.

RealistikGDPS's Projects

gd-traffic-proxy icon gd-traffic-proxy

Captures, logs and forwards all traffic towards the GD servers for reverse engineering purposes.

realistikgdps icon realistikgdps

The Python-based backend for RealistikGDPS, made as an expandable solution for a GDPS of any size.

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