cookiecutter gh:TezRomacH/python-package-template --checkout v1.1.1
All you need is the latest version of cookiecutter 😉
In this cookiecutter 🍪 template we combine state-of-the-art libraries and best development practices for Python.
- Supports
Python 3.7
and higher. Poetry
as a dependencies manager. See configuration inpyproject.toml
andsetup.cfg
.- Automatic codestyle with
black
,isort
andpyupgrade
. - Ready-to-use
pre-commit
hooks with code-formatting. - Type checks with
mypy
; docstring checks withdarglint
; security checks withsafety
andbandit
- Testing with
pytest
. - Ready-to-use
.editorconfig
,.dockerignore
, and.gitignore
. You don't have to worry about those things.
GitHub
integration: issue and pr templates.Github Actions
with predefined build workflow as the default CI/CD.- Everything is already set up for security checks, codestyle checks, code formatting, testing, linting, docker builds, etc with
Makefile
. More details in makefile-usage. - Dockerfile for your package.
- Always up-to-date dependencies with
@dependabot
. You only need to enable it. - Automatic release notes with
Release Drafter
. You may see the list of labels inrelease-drafter.yml
. Works perfectly with Semantic Versions specification.
- Ready-to-use Pull Requests templates and several Issue templates.
- Files such as:
LICENSE
,CONTRIBUTING.md
,CODE_OF_CONDUCT.md
, andSECURITY.md
are generated automatically. Stale bot
that closes abandoned issues after a period of inactivity. (You will only need to setup free plan). Configuration is here.- Semantic Versions specification with
Release Drafter
.
To begin using the template consider updating cookiecutter
pip install -U cookiecutter
then go to a directory where you want to create your project and run:
cookiecutter gh:TezRomacH/python-package-template --checkout v1.1.1
Template generator will ask you to fill some variables.
The input variables, with their default values:
Parameter | Default value | Description |
---|---|---|
project_name |
python-project |
Check the availability of possible name before creating the project. |
project_description |
based on the project_name |
Brief description of your project. |
organization |
based on the project_name |
Name of the organization. We need to generate LICENCE and to specify ownership in pyproject.toml . |
license |
MIT |
One of MIT , BSD-3 , GNU GPL v3.0 and Apache Software License 2.0 . |
minimal_python_version |
3.7 |
Minimal Python version. One of 3.7 , 3.8 and 3.9 . It is used for builds, GitHub workflow and formatters (black , isort and pyupgrade ). |
github_name |
based on the organization |
GitHub username for hosting. Also used to set up README.md , pyproject.toml and template files for GitHub. |
email |
based on the organization |
Email for CODE_OF_CONDUCT.md , SECURITY.md files and to specify the ownership of the project in pyproject.toml . |
version |
0.1.0 |
Initial version of the package. Make sure it follows the Semantic Versions specification. |
line_length |
88 | The max length per line (used for codestyle with black and isort ). NOTE: This value must be between 50 and 300. |
create_example_template |
cli |
If cli is chosen generator will create simple CLI application with Typer and Rich libraries. One of cli , none |
All input values will be saved in the cookiecutter-config-file.yml
file so that you won't lose them. 😉
Your project will contain README.md
file with instructions for development, deployment, etc. You can read the project README.md template before.
By running make install
After you create a project, it will appear in your directory, and will display a message about how to initialize the project.
By running make pre-commit-install
. Make sure to set up git first via git init
.
Want to know more about Poetry? Check its documentation.
Details about Poetry
Poetry's commands are very intuitive and easy to learn, like:
poetry add numpy@latest
poetry run pytest
poetry publish --build
etc
If you set create_example_template
to be cli
the template comes with a cute little CLI application example. It utilises Typer
and Rich
for CLI input validation and beautiful formatting in the terminal.
After installation via make install
(preferred) or poetry install
you can try to play with the example:
poetry run <project_name> --help
poetry run <project_name> --name Roman
Building a new version of the application contains steps:
- Bump the version of your package
poetry version <version>
. You can pass the new version explicitly, or a rule such asmajor
,minor
, orpatch
. For more details, refer to the Semantic Versions standard. - Make a commit to
GitHub
. - Create a
GitHub release
. - And... publish 🙂
poetry publish --build
Makefile
contains a lot of functions for faster development.
1. Download and remove Poetry
To download and install Poetry run:
make poetry-download
To uninstall
make poetry-remove
2. Install all dependencies and pre-commit hooks
Install requirements:
make install
Pre-commit hooks coulb be installed after git init
via
make pre-commit-install
3. Codestyle
Automatic formatting uses pyupgrade
, isort
and black
.
make codestyle
# or use synonym
make formatting
Codestyle checks only, without rewriting files:
make check-codestyle
Note:
check-codestyle
usesisort
,black
anddarglint
library
Update all dev libraries to the latest version using one comand
make update-dev-deps
4. Code security
make check-safety
This command launches Poetry
integrity checks as well as identifies security issues with Safety
and Bandit
.
make check-safety
5. Type checks
Run mypy
static type checker
make mypy
6. Tests with coverage badges
Run pytest
make test
7. All linters
Of course there is a command to rule run all linters in one:
make lint
the same as:
make test && make check-codestyle && make mypy && make check-safety
8. Docker
make docker-build
which is equivalent to:
make docker-build VERSION=latest
Remove docker image with
make docker-remove
More information about docker.
9. Cleanup
Delete pycache files
make pycache-remove
Remove package build
make build-remove
Delete .DS_STORE files
make dsstore-remove
Remove .mypycache
make mypycache-remove
Or to remove all above run:
make cleanup
Well, that's up to you 💪🏻. I can only recommend the packages and articles that helped me.
Typer
is great for creating CLI applications.Rich
makes it easy to add beautiful formatting in the terminal.Pydantic
– data validation and settings management using Python type hinting.Loguru
makes logging (stupidly) simple.tqdm
– fast, extensible progress bar for Python and CLI.IceCream
is a little library for sweet and creamy debugging.orjson
– ultra fast JSON parsing library.Returns
makes you function's output meaningful, typed, and safe!Hydra
is a framework for elegantly configuring complex applications.FastAPI
is a type-driven asynchronous web framework.
Articles:
- Open Source Guides.
- A handy guide to financial support for open source
- GitHub Actions Documentation.
- Maybe you would like to add gitmoji to commit names. This is really funny. 😄
You can see the list of available releases on the GitHub Releases page.
We follow Semantic Versions specification.
We use Release Drafter
. As pull requests are merged, a draft release is kept up-to-date listing the changes, ready to publish when you’re ready. With the categories option, you can categorize pull requests in release notes using labels.
Label | Title in Releases |
---|---|
enhancement , feature |
🚀 Features |
bug , refactoring , bugfix , fix |
🔧 Fixes & Refactoring |
build , ci , testing |
📦 Build System & CI/CD |
breaking |
💥 Breaking Changes |
documentation |
📝 Documentation |
dependencies |
⬆️ Dependencies updates |
This template will continue to develop and follow the bleeding edge new tools and best practices to improve the Python development experience.
Here is a list of things that have yet to be implemented:
- Tests coverage reporting (
Codecov
?). - Auto uploading your package to
PyPI
when new GitHub release is created. - Automatic creation and deployment of documentation to GitHub pages. I look at
MkDocs
with Material Design theme andmkdocstrings
. - Code metrics with
Radon
. - Docstring coverage with
interrogate
Dockerfile
linting withdockerfilelint
.- Hall of fame from
Sourcerer
. - Some advanced Python linting (?).
- End-to-end testing and validation of the cookiecutter template.
- Add
Invoke
- Add
Earthly
This project is licensed under the terms of the MIT
license. See LICENSE for more details.
This template was inspired by several great articles:
- Hypermodern Python
- Ultimate Setup for Your Next Python Project
- Nine simple steps for better-looking python code
- Modern Python developer's toolkit
and repositories:
Cookiecutter
wemake-python-package
- Audreyr's
cookiecutter-pypackage
- Full Stack FastAPI and PostgreSQL - Base Project Generator
- Cookiecutter Data Science Template:
cdst
Give them your ⭐️, these resources are amazing! 😉
@misc{python-package-template,
author = {Roman Tezikov},
title = {Python Packages Project Generator},
year = {2020},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/TezRomacH/python-package-template}}
}
[![🚀 Your next Python package needs a bleeding-edge project structure.](https://img.shields.io/badge/python--package--template-%F0%9F%9A%80-brightgreen)](https://github.com/TezRomacH/python-package-template)