
Python toolbox of Ambient Digital containing an abundance of useful tools and gadgets.
PyPI • GitHub • Full documentation
Creator & Maintainer: Ambient Digital
Features
- Useful classes and mixins for Django admin
- Coverage script for GitLab
- Extensions for DRF and GraphQL
- Mailing backends for Django
- Management commands for validating a projects test structure
- Object ownership tracking with timestamping
- Pattern for improved workflow with Django ORM
- Helper and util functions for many different use-cases
- Sentry plugins
- django-scrubber wrapper class
- Mixins and test classes for django (class-based) views
Migration from "ai_django_core"
This package was previously known as ai_django_core. Due to the
misleading nature of the name, we chose to rename it with something more meaningful.
The migration is really simple, just:
- Install ambient-toolbox and remove the dependency to ai-django-core
- Search and replace all usages of
from ai_django_core... to from ambient_toolbox...
- The class-based mail functionality was moved to a separate package called
django-pony-express.
Installation
-
Install the package via pip:
pip install ambient-toolbox
or via uv:
uv add ambient-toolbox
-
Add module to INSTALLED_APPS within the main django settings.py:
INSTALLED_APPS = (
"ambient_toolbox",
)
Releasing a new version
Releases are fully automated. Push a version tag and the pipeline will build, sign with
Sigstore, publish to PyPI via
Trusted Publishing, and create a GitHub Release —
no API tokens needed.
git tag v<version>
git push origin v<version>
Tags must start with v. Tags without the prefix won't trigger the pipeline.
First-time setup
Before the pipeline can run for the first time, an admin must:
Publish to ReadTheDocs.io
- Fetch the latest changes in GitHub mirror and push them
- Trigger new build at ReadTheDocs.io (follow instructions in admin panel at RTD) if the GitHub webhook is not yet set
up.
Maintenance
Please note that this package supports the ambient-package-update.
So you don't have to worry about the maintenance of this package. This updater is rendering all important
configuration and setup files. It works similar to well-known updaters like pyupgrade or django-upgrade.
To run an update, refer to the documentation page
of the "ambient-package-update".