Maa Resonance

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This is a project for creating a Maa Resonance front end with Tauri.

Project Goals

• Automated Business Running
  • Choose different routes according to the fatigue level consumed by different strategies
• clear daily affairs

Getting Started

Note that the building process is only currently tested and supported on Windows. Support for Linux is planned.

MaaAgentBinary

This repo contains the MaaAgentBinary as a submodule. You need to clone this repo with the --recurse-submodules flag or run the following commands after cloning:

git submodule init  
git submodule update

MaaFramework

You need to have a latest version (expected v1.7.*) of MaaFramework installed in your system. If you already have, make sure that CMake can find it. The easiest way to do this is to add your MaaFramework installation directory to your CMAKE_PREFIX_PATH or PATH environment variable.

If you don't have it installed, the python script will do that anyway so there is generally no need for you to do it manually.

Run Dependency Script

If you have an installed version of MaaFramework, you can skip this step and manually copy the MaaFramework dlls to tauri/ directory.

If not, you can run

python ./scripts/makedeps.py

to download and extract the latest version of MaaFramework to the tauri/ directory. Then, as said above, you might need to set your PATH environment variables to point to the MaaFramework installation directory ($projectDir/scripts/deps/maafw).

Cmake and clang ( you can choose LLVM to instead ) is also needed.

Build and Run

Use of pnpm is encouraged, but you can probably use npm or yarn as well.

pnpm install  
pnpm tauri dev

Or a mock command is provided where we will not try to really scan the devices but show a mock device, this is useful for UI development.

pnpm mock

Then build the project with:

pnpm tauri build

To build the project for production, use:

pnpm build

This will build different targets.