BeamMP/BeamMP-Launcher
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BeamMP-Launcher

The launcher is the way we communitcate to outside the game, it does a few automated actions such as but not limited to: downloading the mod, launching the game, and create a connection to a server.

To clone this repository: git clone --recurse-submodules https://github.com/BeamMP/BeamMP-Launcher.git

How to build for Windows

Make sure you have the necessary development tools installed:

vcpkg

Release

In the root directory of the project,

  1. cmake -DCMAKE_BUILD_TYPE=Release . -B bin -DCMAKE_TOOLCHAIN_FILE=C:/vcpkg/scripts/buildsystems/vcpkg.cmake -DVCPKG_TARGET_TRIPLET=x64-windows-static
  2. cmake --build bin --parallel --config Release

Remember to change C:/vcpkg to wherever you have vcpkg installed.

Debug

In the root directory of the project,

  1. cmake . -B bin -DCMAKE_TOOLCHAIN_FILE=C:/vcpkg/scripts/buildsystems/vcpkg.cmake -DVCPKG_TARGET_TRIPLET=x64-windows-static
  2. cmake --build bin --parallel

Remember to change C:/vcpkg to wherever you have vcpkg installed.

How to build for Linux

Make sure you have vcpkg installed, as well as basic development tools, often found in packages, for example:

  • Debian: sudo apt install build-essential
  • Fedora: sudo dnf groupinstall "Development Tools"
  • Arch: sudo pacman -S base-devel
  • openSUSE: zypper in -t pattern devel-basis

Release

In the root directory of the project,

  1. cmake -DCMAKE_BUILD_TYPE=Release . -B bin -DCMAKE_TOOLCHAIN_FILE=~/vcpkg/scripts/buildsystems/vcpkg.cmake -DVCPKG_TARGET_TRIPLET=x64-linux
  2. cmake --build bin --parallel --config Release

Debug

In the root directory of the project,

  1. cmake . -B bin -DCMAKE_TOOLCHAIN_FILE=~/vcpkg/scripts/buildsystems/vcpkg.cmake -DVCPKG_TARGET_TRIPLET=x64-linux
  2. cmake --build bin --parallel

Running out of RAM while building

Should you run out of RAM while building, you can ommit the --parallel intruction, it will then use less RAM due to building only on one CPU thread.

You can also specify a number of threads to use, for example --parallel 4 will use four CPU threads, but due to the small project size, you may be faster just omitting --parallel instead of trying to find the highest possible multithread number