Using Pyprefab¶
CLI¶
pyprefab is a command line interface (CLI) that requires only a few pieces of information to create the boilerplate for a Python package.
To see the available options:
pyprefab --help
Example CLI use¶
To create a Python package named holodeck
in a directory named
trek/code/holodeck
:
$ pyprefab --name holodeck --author rbarclay \
--description "personal holodeck programs" \
--dir trek/code/holodeck --docs
╭──────────── Package Created Successfully ─────────────╮
│ ✨ Created new package holodeck in trek/code/holodeck │
│ Author: rbarclay │
│ Description: personal holodeck programs │
│ Documentation: trek/code/holodeck/docs │
╰───────────────────────────────────────────────────────╯
The scaffolding for the new holodeck
package is now in the directory you
specified (in this case, trek/code/holodeck
).
trek/code/holodeck
├── .github
│ ├── dependabot.yaml
│ └── workflows
│ ├── ci.yaml
│ └── publish-pypi.yaml
├── .gitignore
├── .pre-commit-config.yaml
├── .python-version
├── CHANGELOG.md
├── CONTRIBUTING.md
├── docs
│ └── source
│ ├── _static
│ │ └── custom.css
│ ├── CHANGELOG.md
│ ├── conf.py
│ ├── CONTRIBUTING.md
│ ├── index.rst
│ ├── readme.md
│ └── usage.md
├── LICENSE
├── pyproject.toml
├── README.md
├── src
│ └── holodeck
│ ├── __init__.py
│ ├── __main__.py
│ ├── app.py
│ └── logging.py
└── test
└── test_app.py
Interactive mode¶
If you don’t explicitly specify options, pyprefab will prompt for them:
$ pyprefab
Package name 🐍: holodeck
Package author 👤 [None]: rbarclay
Package description 📝 [None]: personal holodeck programs
Package directory 🎬 [/Users/rbarclay/code/holodeck]:
Include Sphinx docs? 📄 [y/N]: y
╭───────────────── Package Created Successfully ──────────────╮
│ Created new package holodeck in /Users/rbarclay/holode │
│ Author: rbarclay │
│ Description: personal holodeck programs │
│ Documentation: /Users/rbarclay/holodeck/docs │
╰─────────────────────────────────────────────────────────────╯
Using the new package¶
Now you’re ready to use the pyprefab-generated scaffolding to build your own Python package.
Creating a dev environment for the new package¶
Follow the steps below to create a development environment for Python packages generated by pyprefab.
These directions use uv, but you can use your preferred tooling.
cd to the directory of the new Python package
Create a virtual environment and install the project dependencies:
$ uv sync
Test the project setupt:
$ uv run <your_package_name>You should see log output stating that the project has been set up correctly.
For example:
2025-01-13 02:29:08 [info] project_test successfully created.You can also run the tests:
$ uv run pytest
Previewing documentation¶
If your project includes the optional Sphinx documentation, make sure you can build and preview the docs before updating them:
$ uv run --group docs sphinx-autobuild docs/source docs/_build/html
The output of the above command provides a URL for viewing the documentation via a local server (usually http://127.0.0.1:8000).
The HTML pages are in docs/_build/html.
[sphinx-autobuild] Serving on http://127.0.0.1:8000
[sphinx-autobuild] Waiting to detect changes...
Adding the project to git¶
To create a new git repository for the project (this is optional):
$ git init
$ git add .
$ git commit -am "Initial commit"
Tip
If you use pre-commit, pyprefab’s boilerplate
includes a baseline pre-commit-config.yaml
configuration. To use it, make
sure the project has been added to git (see above) and install the pre-commit
hooks: pre-commit install
Hosting your project on GitHub¶
Code generated by pyprefab includes some extra boilerplate files for
projects hosted on GitHub. There are located in the .github
directory, which
you can delete if you’re not using GitHub.
GitHub workflows¶
The following
GitHub workflow
files are generated by pyprefab. These are located in the .github/workflow
directory:
ci.yaml
: runs tests against multiple versions of python, checks test coverage, and runs a linter check using ruffpublish-pypi.yaml
: publishes the package to test PyPi and to PyPI (setup required, see comments in the file)
Tip
GitHub reposistories have actions enabled by default, so review the workflow files to ensure that their triggers match your expectations.
Dependabot config¶
The .github
directory also contains a configuration file for
GitHub Dependabot: dependabot.yaml
.
This file instructs Dependabot to check your project’s Python and GitHub action dependencies each week and submit pull requests if there are any updates.
It’s important to review and merge these pull requests regularly to keep your code base secure.