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Contributing

MLModelCI welcomes your contributions!

Setup Environment

To contribute to the MLModelCI, you need to setup the developing environment first, you can easily create the dev environments according to the following steps. All the scripts should be executed under the root project of this repo.

Create Anaconda Environment

# create environment
conda env create -f environment.yml

# install PyTorch with specific CUDA version
conda install pytorch torchvision cudatoolkit=<YOUR_CUDA_VERSION> -c pytorch
conda install pytorch-lightning -c conda-forge
pip install hummingbird-ml==0.2.1 torchviz==0.0.1

# set PYTHONPATH
export PYTHONPATH="${PWD}"

Use Customized Settings

To use customized settings such as backend host name, MongoDB password, change the corresponding settings defines at env-backend.env (for backend), env-frontend.env (for frontend) and env-mongodb.env (for MongoDB).

After that, you should re-generate the environment files (.env) for the backend and the frontend.

python scripts/generate_env.py

Start Services

python modelci/cli/__init__.py service init

Coding Standards

Unit Tests

PyTest is used to execute tests. PyTest can be installed from PyPI via pip install pytest.

python -m pytest tests/

You can also provide the -v flag to pytest to see additional information about the tests.

Code Style

We have some static checks when you filing a PR or pushing commits to the project, please make sure you can pass all the tests and make sure the coding style meets our requirements.

Contribution guide

1. Clone your fork and configure the upstream

Firstly, you have to fork this repo: https://github.com/cap-ntu/ML-Model-CI and create a local clone of this fork

git clone https://github.com/<YOUR-USERNAME>/ML-Model-CI.git

Then add the original repository as upstream

cd ML-Model-CI
git remote add upstream https://github.com/cap-ntu/ML-Model-CI.git

you can use the following command to verify that the remote is set

git remote -v

2. Sync the changes of the original repo

This is a must before you make any changes to your fork, or conflict may happen.

git fetch upstream
git checkout master
git merge upstream/master
git push origin master

or you can automate simplify this work by the following command

git branch --set-upstream-to=upstream/master master
git config --local remote.pushDefault origin

and then the workflow becomes:

git checkout master
git fetch
git merge
git push

3. Select (or open) an issue and create a new branch

Before you may any pull request, please correlate your branch with at least one existing opened issue or open one with appropriate labels.

Then you can create a new branch, make sure the branch name is descriptive.

git checkout -b <NEW-BRANCH-NAME>

4. Make the change and commit

After making the necessary change, you can commit it to your local repository. There is a general rule for making a commit:

Commits should be logical, atomic units of change

git add -A
git commit -m "<COMMIT-MESSAGE>"

5. Open a pull request

Then push the commit to your Github fork

git push -u origin <NEW-BRANCH-NAME>

You can make a pull request now, make sure to link the relevant issue in your pull request description. Here are relevant docs which may help:

https://docs.github.com/en/free-pro-team@latest/github/managing-your-work-on-github/linking-a-pull-request-to-an-issue

If your branch is out of date during the process, it cannot be merge automatically and you should fix your branch by merging the target branch into your branch.

6. Delete the branch

Once your pull request is merged into the original repository, you should delete the new branch and push the deletion to your fork

git branch -d <NEW-BRANCH-NAME>
git push -u origin master
git push --delete origin