ncs-checks

Periodically checks things that may affect NCS project.

How it works

The script checks/all.py runs all checks. If any of the checks need to report something, the script creates as issue containing the reported information.

The check is a script named checks/check_*.py. If the script wants to report something, it uses a Jinja2 markdown template from the templates directory. The template will be rendered to a comment in a newly created issue. The comment contains users mentions to notify interested people.

The check can save some information between each run, e.g. to avoid reporting the same thing each day. Files contained in the data directory will be preserved. They will be committed into data branch by github's workflow. If you running the script locally, you have to take care of committing (or reverting) data directory manually.

How to run it locally

1. Set environment variables:
   • GITHUB_TOKEN - token that will be used to communicate with the Github API.
   • GITHUB_ACTOR - user name responsible for running the script
   • GITHUB_REPO - repository (in form github_user/repository_name) where a new issue will be created.
2. Clone data branch to a data directory. The state of the cloned repository must be clean (no changes in working directory and index), so revert, commit or stash your changes before running the script.
3. Now you can run:
   • python checks/all.py to run all checks and create an issue if needed.
   • python checks/some_check.py to run a specific check without creating an issue. The result will be show on terminal.

How to write a check

1. Create script named checks/check_*.py.
2. Put you checking logic in it.
3. Create one or more comment templates in the templates directory.
4. Mention all interested people at the beginning of the template.
5. Use a template to report something if needed

Common module

The checks/common.py module provides API to help writing a check.

• send_notification(template, **data)

  Send notification using provided template and pass data to that template.

• github

  Instance of PyGithub's main class initialized using GITHUB_TOKEN environment variable. See: https://pygithub.readthedocs.io/en/latest/github.html

• github_actor

  String containing user name that is responsible for running this script (GITHUB_ACTOR environment variable).

• repo

  Instance of PyGithub's Repository class lazy initialized using GITHUB_REPO environment variable. See: https://pygithub.readthedocs.io/en/latest/github_objects/Repository.html

• data_path / templates_path

  Instance of Path class pointing data / templates directory.

• class DataDir

  Helper class for handling the data directory.