Datakit Plugin Package

Cookiecutter template for generating a Datakit plugin. This is a modified version of the most excellent https://github.com/audreyr/cookiecutter-pypackage

• GitHub repo: https://github.com/associatedpress/cookiecutter-datakit-plugin/
• Free software: BSD license

Features

• Testing setup with unittest and python setup.py test or py.test
• Travis-CI: Ready for Travis Continuous Integration testing
• Tox testing: Setup to easily test for Python 3.3, 3.4, 3.5
• Sphinx docs: Documentation ready for generation with, for example, ReadTheDocs
• Bumpversion: Pre-configured version bumping with a single command
• Auto-release to PyPI when you push a new tag to master (optional)

Quickstart

Install the latest Cookiecutter if you haven't installed it yet (this requires Cookiecutter 1.4.0 or higher):

pip install -U cookiecutter

Generate a Datakit plugin project:

cookiecutter https://github.com/associatedpress/cookiecutter-datakit-plugin.git

Then:

• Create a repo and put it there.
• Add the repo to your Travis-CI account.
• Install the dev requirements into a virtualenv. (pip install -r requirements_dev.txt)
• Run the script travis_pypi_setup.py to encrypt your PyPI password in Travis config and activate automated deployment on PyPI when you push a new tag to master branch.
• Add the repo to your ReadTheDocs account + turn on the ReadTheDocs service hook.
• Release your package by pushing a new tag to master.
• Add a requirements.txt file that specifies the packages you will need for your project and their versions. For more info see the pip docs for requirements files.
• Activate your project on pyup.io.

For more details, see the cookiecutter-pypackage tutorial.