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Tool that generates ics-files from a repositories issues, milestones and iterations, which have a due date.

Project description

GitCalendar

Tool that generates an ICS file from issues, milestones and iterations, of one or more GitLab projects. Only events with a due date are considered.

Setup

The script requires Python >= 3.6 and uses the libraries ics (Apache License v2.0) and python-gitlab (LGPL v3.0). You can install it from PyPi with the following command:

pip install gitcalendar

Usage

There are two options of running the script:

Run it with a config

  • Rename gitlab-config.ini.example to gitlab-config.ini and fit to your needs
  • Make sure that all wanted variables are given
  • Make sure to declare your private token, a valid project or group id, and the path where your calendar files should be generated at.

Once this is done, you can run the script as follows:

gitcalendar --config <PATH OF YOUR CONFIG>    

Run it with all the options you need

Warning! Please consider using the prior option for not leaking any access tokens

  • Here, there's a need to declare the url of the gitlab instance, your private token, and at least one project or group id.
gitcalendar -u <URL> -t <PRIVATE TOKEN> -p <LIST OF PROJECT IDS> -g <LIST OF GROUP IDS>    

For more options please use:

gitcalendar -h

Development

After you cloned the repository and changed into it, you can perform the following actions.

Setup

Install with pip as follows:

pip install -e .[develop]

Package Build

You can build a source package with the following command:

python setup.py sdist

You can build a wheel with the following command:

python setup.py bdist

Changes

Please see the CHANGELOG.md for notable changes.

Contributing

Please see the CONTRIBUTING.md if you want to contribute.

Contributors

Please see CONTRIBUTORS.md for further information about the contributors.

License

Please see LICENSE.md for further information about how the content is licensed.

Project details


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Source Distribution

gitcalendar-1.0.0.tar.gz (6.9 kB view hashes)

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