A simple template of Python projects, with a rigid file structure, and predisposition for unit testing and release on PyPi.
- All your project code into a single main package (
my_project/) - All your project tests into a single test package (
test/) - Unit testing support via
unittest - Automatic testing on all branches via GitHub Actions
- Semi-automatic versioning via Git
- Packaging support via
setuptools - Automatic release on PyPi via GitHub Actions and
semantic-release - Automatic dependencies updates via Renovate
Overview:
<root directory>
├── my_project/ # main package (should be named after your project)
│ ├── __init__.py # python package marker
│ └── __main__.py # application entry point
├── tests/ # test package (should contain unit tests)
├── .github/ # configuration of GitHub CI
│ └── workflows/ # configuration of GitHub Workflows
│ ├── check.yml # runs tests on multiple OS and versions of Python
│ └── deploy.yml # if check succeeds, and the current branch is one of {main, master}, triggers automatic releas on PyPi
├── LICENSE # license file (Apache 2.0 by default)
├── pyproject.toml # project configuration file as prescribed by Poetry
├── renovate.json # configuration of Renovate bot, for automatic dependency updates
├── requirements.txt # only declares a dependency on Poetry. DO NOT EDIT THIS FILE
└── release.config.js # script to release on PyPi, and GitHub via semantic-release-
Use this template to create a new GitHub repository, say
my_project- this name will also be used to identify the package on PyPi
- so, we suggest choosing a name which has not been used on PyPi, yet
- we also suggest choosing a name which is a valid Python package name (i.e.
using_snake_case)
- this name will also be used to identify the package on PyPi
-
Clone the
my_projectrepository -
Open a shell into your local
my_projectdirectory and run./rename-template.sh my_project
This will coherently rename the template's project name with the one chosen by you (i.e.
my_project, in this example)- Remark: this step is now automatic thanks to the
init.ymlworkflow which is triggered when using this template to create a new repository
- Remark: this step is now automatic thanks to the
-
Commit & push
-
Ensure you like the Apache 2.0 License. If you don't, change the content of the
LICENSEfile -
Ensure the versions-range of Python reported in
pyproject.tomlfits the versions you want to support- currently defaults to
>= 3.9 - if you change this, please also change the versions of Python tests should be run on in CI, by looking the file
.github/workflows/check.yml
- currently defaults to
-
Check the Python version and OS tests should be run on in CI, by looking the file
.github/workflows/check.yml -
Add your runtime, development, and build dependencies to
pyproject.toml -
Check the other metadata in
pyproject.toml -
Change the assignee for pull-requests for automatic dependency updates by editing
renovate.json- currently defaults to @gciatto
-
Add your
PYPI_TOKENtoken as secrets of the GitHub repository- this may require you to register on PyPi first
-
Generate a GitHub token and add it as a secret of the GitHub repository, named
RELEASE_TOKEN- cf. https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens#creating-a-personal-access-token-classic
- the token must allow pushing to the repository
-
Put your main (resp. test) code in
my_project/(resp.test/)
-
Install Poetry if you don't have it yet
pip install -r requirements.txt
-
Install the project's dependencies
poetry install
Execute the test suite using pytest:
poetry run poe testExecute the test suite with coverage reporting:
poetry run poe coverageand generate a report with poe coverage-report or poe coverage-html
Perform static code analysis using both mypy and ruff:
poetry run poe static-checksFormat your code using ruff:
poetry run poe formatNote: you can enter a Poetry shell via
poetry shellto avoid prefixing commands withpoetry run.
Tests are automatically run in CI, on all pushes on all branches. There, tests are executed on multiple OS (Win, Mac, Ubuntu) and on multiple Python versions.
This will execute the __main__.py file in the my_project package:
poetry run python -m my_projectthe latter is possible because of the script defined in the pyproject.toml file.
New versions are automatically released on PyPi via GitHub Actions, when a push is made on the main or master branch.
The version number is updated automatically by the semantic-release tool, which uses the commit messages to infer the type of the release (major, minor, patch).
It is paramount that the commit messages follow the Conventional Commits specification,
in order for semantic-release to compute version numbers correctly.
The project is configured to use Renovate to automatically open pull-requests
to update dependencies declared in pyproject.toml.
By default, Renovate will assign such pull-requests to the user who created the repository from this template.
If the project has tests (which is the case for this template), Renovate will only merge such pull-requests if all tests pass.
When some test fails, Renovate will leave a comment on the pull-request, so that you can fix the issue manually.
To make Renovate work, you need to enable it for your repository. To do so, please follow the instruction at https://docs.renovatebot.com/getting-started/installing-onboarding/#hosted-githubcom-app
Finally, please remember to enable PR auto-merging in your repository settings, otherwise Renovate will not be able to merge the pull-requests it opens, even if all tests pass. To do so, please follow the instructions available here.
Notice that the combination between Renovate, and Semantic Release may lead to a number of releases being created automatically.