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Create and update alarms for Noonlight

Project description

pynoonlight

Test PyPI PyPI - Python Version PyPI - License codecov Coookiecutter - Wolt


Documentation: https://IceBotYT.github.io/pynoonlight

Source Code: https://github.com/IceBotYT/pynoonlight

PyPI: https://pypi.org/project/pynoonlight/


Create and update alarms for Noonlight

Installation

pip install pynoonlight

Development

  • Clone this repository

  • Requirements:

    • Poetry
    • Python 3.7
    • Python 3.10
  • Setup virtual environments

This will modify your .bashrc file to create two new aliases to point to the virtual environments. The two new aliases are:

  • noonlight_python3.10
  • noonlight_python3.7
cd pynoonlight
chmod +x setup_virtual_environments.sh
./setup_virtual_environments.sh
  • Activate the virtual environment (Python 3.10)
noonlight_python3.10
  • Activate the virtual environment (Python 3.7)
noonlight_python3.7

Testing

pytest

Documentation

The documentation is automatically generated from the content of the docs directory and from the docstrings of the public signatures of the source code. The documentation is updated and published as a Github project page automatically as part each release.

Releasing

Trigger the Draft release workflow (press Run workflow). This will update the changelog & version and create a GitHub release which is in Draft state.

Find the draft release from the GitHub releases and publish it. When a release is published, it'll trigger release workflow which creates PyPI release and deploys updated documentation.

Pre-commit

Pre-commit hooks run all the auto-formatters (e.g. black, isort), linters (e.g. mypy, flake8), and other quality checks to make sure the changeset is in good shape before a commit/push happens.

You can install the hooks with (runs for each commit):

pre-commit install

Or if you want them to run only for each push:

pre-commit install -t pre-push

Or if you want e.g. want to run all checks manually for all files:

pre-commit run --all-files

This project was generated using the wolt-python-package-cookiecutter template.

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