pythontemplatepackage 0.0.6

A template repo for Python packages with GitHub actions and documentation

PythonTemplatePackage

A template repo for Python packages featuring:

• main/dev branch workflow
• unittests and code coverage
• publishing the package on PyPi
• building documentation and publishing via GitHub pages

How To

To create a new Python package from this template, start by cloning this repo (or use it as a template when creating a new repo on GitHub) and then follow the procedure outlined below.

Badges README

The README.md is obviously specific to your project, but you might want to use the badges at the top.

• The tests, build, and doc badge show the success status of the respective GitHub actions. The easiest is to follow the procedure below and update them afterwards.
• The codecov badge should be replaced by the one specific to your package (see Tests below).
• In the pypi badge the package name needs to be adapted. After the first successful upload (see PyPi below) it will show the correct version and link to the PyPi page.
• In the doc badge, you may want to link to the actual documentation (as is done above) instead of the GitHub action (as is the default).

Package Name

The example package provided by this repo is named pythontemplatepackage and this name appears in many locations. Therefore, the first step is to choose a package name (check that it is available on PyPi if you plan to publish it there!) and replace all occurrences by the name of your package. In particular, you have to rename the folder pythontemplatepackage accordingly and replace all occurrences in the following files (this is described in more detail in the respective sections below):

• setup.py
• tests/test_template.py
• .github/workflows/tests.yml
• .github/workflows/test_dev.yml
• doc/conf.py
• doc/index.rst
• doc/api_summary.rst

Folder Structure

• Your source code goes into the pythontemplatepackage directory (after renaming it to your package name).
• Your unittests go into the test directory.
• Your documentation goes into the doc directory.
• The .github/workflows folder contains *.yml files that define GitHub actions that
  • run tests on the main and dev branch (see Tests)
  • publish the package on pypi.org (see PyPi)
  • build the documentation and publish it via GitHub pages (see Documentation)

Adapt requirements.txt and setup.py

List all required Python packages in requirements.txt.

In setup.py replace the following:

• name="pythontemplatepackage": replace with the name of your package
• version="...": the version of your package
• author="...": your name
• author_email="...": your email
• description="...": a short description of the package
• url="...": the URL of the repo
• python_requires="...": the Python version requirement for your package

Moreover, in the classifiers argument, you may want to adapt the following to your liking:

• Programming Language :: Python :: 3
• License :: OSI Approved :: GNU General Public License v3 (GPLv3)
• Operating System :: OS Independent

If you change the license information, you probably also want to adapt the LICENSE file and the badge at the top of the README.md.

Tests

Replace the test_template.py file with some real tests for you package (at least, you have to replace pythontemplatepackage with your package name for things to work).

In tests.yml (for main branch) and test_dev.yml (for dev branch) adapt the following:

• os: [ubuntu-latest, macos-latest, windows-latest]: operating systems to test for
• python-version: ["3.9", "3.10"]: Python versions to test for
• pythontemplatepackage: the name of your package chosen above
• Upload coverage to Codecov: you can delete this section if you do not want to use codecov.io (remember to also remove the codecov badge above)
  • If you use codecov, you will have to:
    • enable the project in your account
    • add the CODECOV_TOKEN to your repository's action secrets to be able to upload reports
    • get the correct coverage badge after the first report has been uploaded under Settings > Badges & Graphs (the link includes a token).

The GitHub actions for running tests on the main and dev branch are almost identical. The only differences are:

• their name (used to display in the web interface)
• the branch name (adapt if you use different names)
• tests on main also upload code coverage reports
• the test and codecov badge refer the tests on main

The tests run on push and pull_request events of the respective branch or when triggered manually.

PyPi

You have to set up an API token to be able to upload to PyPi:

• In you PyPi account page create a new API token valid for all projects (will be changed later).
• In the repository's GitHub page under Settings > Secrets > Actions create a new Repository Secret with name PYPI_API_TOKEN and copy-paste the PyPi token (pypi-...).
• After the first successful upload, change that token by one that is specific to this package (for security reasons).

Documentation

The doc folder contains a skeleton documentation using the Read the Docs Sphinx Theme that you can adapt to your needs. You should replace the following:

• in conf.py, index.rst, api_summary.rst
  • replace pythontemplatepackage with your package name
• in conf.py adapt the following:
  • project = 'pythontemplatepackage'
  • copyright = '...'
  • author = '...'

Local Builds

For local builds, you can run make commands in the doc directory (you will have to install the packages specified in doc/requirements.txt), in particular

• make html: builds the documentation
• make doctest: runs all code examples in the documentation and checks if the actual output matches the one shown in the documentation
• make clean: remove all built files (including _autosummary and auto_examples)
• make help: get information about available make commands.

Publish via GitHub Pages

To publish the documentation via GitHub pages, you have to:

• create the gh-pages branch
• enable GitHub pages on gh-pages branch using the / (root) directory.

The doc action builds the documentation via make html and pushes it to the gh-pages branch. It also runs make linkcheck and make doctest to check for missing links and test examples in the documentation.