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Factory+Registry pattern for Python classes

Project description

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ClassRegistry

At the intersection of the Registry and Factory patterns lies the ClassRegistry:

  • Define global factories that generate new class instances based on configurable keys.

  • Seamlessly create powerful service registries.

  • Integrate with setuptools’s entry_points system to make your registries infinitely extensible by 3rd-party libraries!

  • And more!

Upgrading from ClassRegistry v4

Getting Started

Create a registry using the class_registry.ClassRegistry class, then decorate any classes that you wish to register with its register method:

from class_registry import ClassRegistry

pokedex = ClassRegistry()

@pokedex.register('fire')
class Charizard(Pokemon):
  ...

@pokedex.register('grass')
class Bulbasaur(Pokemon):
  ...

@pokedex.register('water')
class Squirtle(Pokemon):
  ...

To create a class instance from a registry, use the subscript operator:

# Charizard, I choose you!
fighter1 = pokedex['fire']

# CHARIZARD fainted!
# How come my rival always picks the type that my pokémon is weak against??
fighter2 = pokedex['grass']

Advanced Usage

There’s a whole lot more you can do with ClassRegistry, including:

  • Provide args and kwargs to new class instances.

  • Automatically register non-abstract classes.

  • Integrate with setuptools’s entry_points system so that 3rd-party libraries can add their own classes to your registries.

  • Wrap your registry in an instance cache to create a service registry.

  • And more!

For more advanced usage, check out the documentation on ReadTheDocs!

Requirements

ClassRegistry is known to be compatible with the following Python versions:

  • 3.12

  • 3.11

  • 3.10

Installation

Install the latest stable version via pip:

pip install phx-class-registry

Maintainers

To install the distribution for local development, some additional setup is required:

  1. Install poetry (only needs to be done once).

  2. Run the following command to install additional dependencies:

    poetry install --with=dev
  3. Activate pre-commit hook:

    poetry run autohooks activate --mode=poetry

Running Unit Tests and Type Checker

Run the tests for all supported versions of Python using tox:

poetry run tox -p

If you just want to run unit tests in the current virtualenv (using pytest):

poetry run pytest

If you just want to run type checking in the current virtualenv (using mypy):

poetry run mypy class_registry test

Documentation

To build the documentation locally:

  1. Switch to the docs directory:

    cd docs
  2. Build the documentation:

    make html

Releases

Steps to build releases are based on Packaging Python Projects Tutorial.

1. Build the Project

  1. Delete artefacts from previous builds, if applicable:

    rm dist/*
  2. Run the build:

    poetry build
  3. The build artefacts will be located in the dist directory at the top level of the project.

2. Upload to PyPI

  1. Create a PyPI API token (you only have to do this once).

  2. Increment the version number in pyproject.toml.

  3. Upload build artefacts to PyPI:

    poetry publish

3. Create GitHub Release

  1. Create a tag and push to GitHub:

    git tag <version>
    git push <version>

    <version> must match the updated version number in pyproject.toml.

  2. Go to the Releases page for the repo.

  3. Click Draft a new release.

  4. Select the tag that you created in step 1.

  5. Specify the title of the release (e.g., ClassRegistry v1.2.3).

  6. Write a description for the release. Make sure to include: - Credit for code contributed by community members. - Significant functionality that was added/changed/removed. - Any backwards-incompatible changes and/or migration instructions. - SHA256 hashes of the build artefacts.

  7. GPG-sign the description for the release (ASCII-armoured).

  8. Attach the build artefacts to the release.

  9. Click Publish release.

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