/cookiecutter-pyxu

Cookiecutter recipe for producing standardised Pyxu plugins.

Primary LanguagePythonMIT LicenseMIT

cookiecutter-pyxu

Cookiecutter template for authoring pyxu plugins.

NOTE: This repo is not meant to be cloned/forked directly! Please read "Getting Started" below

Getting Started

Create your plugin package

Install Cookiecutter and generate a new Pyxu plugin project:

pip install cookiecutter
cookiecutter https://github.com/pyxu-org/cookiecutter-pyxu

Cookiecutter prompts you for information regarding your plugin (A new folder will be created in your current working directory):

full_name [Pyxu Developer]: Isaac Newton
email [yourname@example.com]: inewton@trinity.uk
github_username_or_organization [githubuser]: sirisaac
# NOTE: for packages whose primary purpose is to be a Pyxu plugin, we
# recommend using the 'pyxu-' prefix in the package name.
# If your package provides functionality outside of Pyxu, you may
# choose to leave Pyxu out of the name.
plugin_name [pyxu-foobar]: pyxu-gradient-descent
Select github_repository_url:
1 - https://github.com/sirisaac/pyxu-gradient-descent
2 - provide later
Choose from 1, 2 [1]:
module_name [pyxu_gradient_descent]:
display_name [Pyxu FooBar Collection]: Gradient Descent
short_description [A simple plugin to use the FooBar collection within Pyxu]: A simple gradient descent solver for Pyxu 
# you can select from various plugin template examples
include_math_plugin [y]: n
include_operator_plugin [n]: 
include_solver_plugin [n]:y
include_stop_plugin [n]: n
include_contrib_plugin [n]: n
install_precommit [n]: 
Select license:
1 - BSD-3
2 - MIT
3 - Mozilla Public License 2.0
4 - Apache Software License 2.0
5 - GNU LGPL v3.0
6 - GNU GPL v3.0
Choose from 1, 2, 3, 4, 5, 6 [1]:

You just created a minimal Pyxu plugin, complete with tests and ready for automatic deployment!

For more detailed information on each prompt see the prompts reference.

pyxu-gradient-descent/
├── .git
├── .gitignore
├── __init__.py
├── LICENSE
├── MANIFEST.in
├── .pre-commit-config.yaml
├── .pyxu-fair
│         ├── config.yml
│         └── DESCRIPTION.md
├── pyproject.toml
├── README.md
├── src
│         ├── __init__.py
│         ├── pyxu_gradient_descent
│         │       ├── __init__.py
│         │       └── opt
│         │           ├── __init__.py
│         │           └── solver
│         │               └── __init__.py
│         └── pyxu_gradient_descent_tests
│             ├── __init__.py
│             └── test_opt
│                 ├── __init__.py
│                 └── test_solver.py
└── tox.ini

Initialize a git repository in your package

NOTE: This is important not only for version management, but also if you want to pip install your package locally for testing with pip install -e .. (because the version of your package is managed using git tags, see below)

cd pyxu-gradient-descent
git init
git add .
git commit -m 'initial commit'

Upload it to GitHub

  1. Create a new github repository with the name github_repository_url you indicated.

  2. Add your newly created GitHub repo as a remote and push:

    # here, continuing with the example above...
    # but replace with your own username and repo name
    
    git remote add origin https://github.com/sirisaac/pyxu-gradient-descent.git
    git push -u origin main

Setup a local environment

It is recommended to set up a local Python environment to develop and test your plugin. With conda, you can use:

my_env=<CONDA ENVIRONMENT NAME>
conda create --name "${my_env}" python=3.11
conda activate "${my_env}"
python -m pip install -e .

You will probably want to install your new package into this environment. Pyxu is already set as a dependency, simply add the other required dependencies in the setup.cfg file and run the following commands.

cd <your-repo-name>
python -m pip install -e .

Develop new features

The cookiecutter offers a predefined hierarchy of classes and functions to aid novice Pyxu developers in creating novel features. At this point, the developer can create new functionalities following the pyxu_dev_notes and structure predefined by the cookiecutter.

Continuous Integration

This Pyxu-plugin generator repository provides you with already-parametrized continuous integration tools.

Pre-commit

This template includes a default yaml configuration for pre-commit. Among other things, it includes checks for best practices in Pyxu plugins. You may edit the config at .pre-commit-config.yaml

To use it run:

pip install pre-commit
pre-commit install

You can also have these checks run automatically for you when you push to GitHub by installing pre-commit ci on your repository.

Running tests locally

You can run your tests locally with tox and pytest. You'll need to make sure that your package is installed in your environment, along with testing requirements (specified in the setup.cfg extras_require section):

tox run

Monitor testing and coverage

The repository is already setup to run your tests automatically each time you push an update (configuration is in .github/workflows/test_and_deploy.yml). You can monitor them in the "Actions" tab of your GitHub repository. If you're following along, go have a look... they should be running right now!

When the tests are done, test coverage will be viewable at codecov.io (assuming your repository is public): https://codecov.io/gh/<your-github-username>/<your-package-name>

Set up automatic deployments

Your new package is also nearly ready to automatically deploy to PyPI (whenever you create a tagged release), so that your users can simply pip install your package. To do so, you just need to create an API token to authenticate with PyPi, and then add it to your GitHub repository:

  1. If you don't already have one, create an account at PyPI
  2. Verify your email address with PyPI, (if you haven't already)
  3. Generate an API token at PyPi: In your account settings go to the API tokens section and select "Add API token". Make sure to copy it somewhere safe!
  4. Create a new encrypted secret in your GitHub repository with the name "TWINE_API_KEY", and paste in your API token.

You are now setup for automatic deployment!

Automatic deployment and version management

Each time you want to deploy a new version, you just need to create a tagged commit, and push it to your main branch on GitHub. Your package is set up to use setuptools_scm for version management, meaning you don't need to hard-code your version anywhere in your package. It will be inferred from the tag each time you release. The deployment is also handled with the github actions using the same workflow file .github/workflows/test_and_deploy.yml.

# the tag will be used as the version string for your package
# make it meaningful: https://semver.org/
git tag -a v0.1.0 -m "v0.1.0"

# make sure to use follow-tags so that the tag also gets pushed to github
git push --follow-tags

Note: as of git 2.4.1, you can set follow-tags as default with git config --global push.followTags true

Monitor the "actions" tab on your GitHub repo for progress... and when the "deploy" step is finished, your new version should be visible on pypi:

https://pypi.org/project/<your-package-name>/

and available for pip install with:

# for example
pip install pyxu-gradient-descent

Create your documentation

The documentation generation is generated with Sphinx, based on the Pydata-Sphinx-Theme. You can edit the docs/index.rst file to add your own documentation.

Summary of the features

  • Installable PyPI package
  • tox test suite, testing various python versions and platforms.
  • README.md file that contains useful information about your plugin
  • Continuous integration configuration for github actions that handles testing and deployment of tagged releases
  • git-tag-based version management with setuptools_scm
  • Optional documentation with either Sphinx or [MkDocs]
  • Choose from several licenses, including BSD-3, MIT, MPL v2.0, Apache v2.0, GNU GPL v3.0, or GNU LGPL v3.0

Resources

Please consult the pyxu plugin docs for more information on how to create a plugin.

Details on why this plugin template is using the src layout can be found here and here

Issues

If you encounter any problems with this cookiecutter template, please file an issue along with a detailed description.

License

Distributed under the terms of the BSD-3 license, cookiecutter-pyxu is free and open source software.