✨ Linty Fresh ✨ 
Keep your codebase sparkly clean with the power of LINT!
Linty Fresh parses lint errors and report them back to GitHub as comments on a pull request.
Requirements
Contributing
Installation
Linty Fresh is hosted in PyPi. To get started, Run
pip3 install linty-freshInstall from source
Linty Fresh uses setuptools for installation. After cloning the repo, run
python3 setup.py installUsage
We recommend you create a GitHub user for your organization used just for
commenting on PRs. Create a token
for that user that only has access to the repo scope (or public_repo scope
for OSS projects). Then add that token as a secret to your CI system as the
environment variable GITHUB_AUTH_TOKEN. You should ensure this user and it's
token are scoped down as much as possible. You should assume that anyone who
has permissions to run a job in your CI system would have access to this token.
See Travis CI documentation storing encrypted secrets for more information.
If you are looking for a good secret management system to store secrets like this, check out Confidant.
Once you have your GitHub user, integrating Linty Fresh is easy! Assuming you
are running PyLint and the output is going to pylint.txt, add the following
snippet to the bottom of your automation script.
linty_fresh --pr_url ${PR_URL} --commit "${COMMIT}" \
--linter pylint pylint.txtTake a look at our run_tests.sh script as an example for how this works on Travis CI.
Currently each invocation of linty_fresh can only accept one lint file, but this will likely change.