Basic chess ai that uses alpha-beta to search for the best move on a given board. The max depth is 3, any deeper and the AI will take way to long to compute the best move.
Set up the project locally.
You will need python3 and git. I would recommend python3.10 but others should work
too.
The following instructions are for linux. If you don't know how to apply them for your OS (i.e. windows or mac), consider prompting ChatGPT to translate them to your OS.
git clone https://github.com/PraxTube/chess-ai.git
cd chess-ai
python3.10 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
pip install -e .if everything went well, you should be able to run the project with
python src/chess_ai/main.pyHow you can add your changes to this repo.
In order to contribute to this repo, you will need to set up and SSH key for you github
account. You can follow these steps
here.
Note that you will want to change your git remote origin in your chess-ai folder. If
you don't know how to do this, then you can simply run
git clone git@github.com:PraxTube/chess-ai.git and then follow the steps above to set it
up.
In order to make changes you will need to work on your own branch. Once you created your local branch, you can push it to github. When every task is completed, you can create a pull request. This will get reviewed and after potentially having to fix some issues, your branch will get merged in the master branch.
We are using black and flake8 to format our python code. You can run the following commands when you are in you venv
black .
flake8 .The first one will automatically format you code in-place. If you prefer to see
if it would change anything, you can use the flag --check.
This repo uses github actions to automatically run specific tests, see here. These tests will check the following:
if any of these fail, then you will not be able to merge your PR into master. You should check if your commit passed the tests.
Note that your branch will only be tested if you have an open pull request into master.