Code should be run through black, isort, and flake8 before being merged. Pre-commit takes care of it for you, but you need to have Python 3 installed to be able to run black. To contribute, please fork the repo, create a feature branch, push it to your repo, then create a pull request.
To install and set up the environment after you fork it (replace aiguofer with your username):
$ git clone https://github.com/aiguofer/gspread-pandas.git && cd gspread-pandas
$ pip install -e ".[dev]"
$ pre-commit installOur tests levarage betamax to remember HTTP
interactions with the API. In order to add new tests that change the requests to
betamax, you'll need to have Service Account credentials stored as google_secret.json
in the root project directory. You can then re-record tests by deleting the necessary
cassetes in tests/cassettes then running:
$ GSPREAD_RECORD=true pytest <path_to_test>NOTE: Currently, the tests don't do any setup and teardown of expected directories/files in the Google Drive. My main concern in implementing this is that somehow it might mistakenly use a specific user's credentials and delete important stuff. If you have any ideas here I'd be happy to discuss.
In order to bump versions, we use bump2version. This will take care of adding an entry in the CHANGELOG for the new version and bumping the version everywhere it needs to. This will also create a git tag for the specific version.
CI is managed by Github Actions: python-package.yml - workflow for testing and linting for each python version on every push tagged-release.yml - workflow that does ^ and then creates a github release only on tagged push python-publish.yml - workflow that publishes package to PyPi when a github release is created