Python toolbox of Ambient Digital containing an abundance of useful tools and gadgets.
- PyPI
- GitHub
- Full documentation
- Creator & Maintainer: Ambient Digital
- 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
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...
tofrom ambient_toolbox...
- The class-based mail functionality was moved to a separate package called django-pony-express.
-
Install the package via pip:
pip install ambient_toolbox
or via pipenv:
pipenv install ambient_toolbox
-
Add module to
INSTALLED_APPS
within the main djangosettings.py
:INSTALLED_APPS = ( ... 'ambient_toolbox', )
-
Apply migrations by running:
python ./manage.py migrate
- Create a Python virtualenv and activate it
- Install "pip-tools" with
pip install -U pip-tools
- Compile the requirements with
pip-compile --extra dev,drf,graphql,bleacher,sentry,view-layer, -o requirements.txt pyproject.toml --resolver=backtracking
- Sync the dependencies with your virtualenv with
pip-sync
- Create a new branch for your feature
- Change the dependency in your requirements.txt to a local (editable) one that points to your local file system:
-e /Users/workspace/ambient-toolbox
or via pippip install -e /Users/workspace/ambient-toolbox
- Ensure the code passes the tests
- Create a pull request
-
Run tests
pytest --ds settings tests
-
Check coverage
coverage run -m pytest --ds settings tests coverage report -m
We use pre-push hooks to ensure that only linted code reaches our remote repository and pipelines aren't triggered in vain.
To enable the configured pre-push hooks, you need to install pre-commit and run once:
pre-commit install -t pre-push -t pre-commit --install-hooks
This will permanently install the git hooks for both, frontend and backend, in your local
.git/hooks
folder.
The hooks are configured in the .pre-commit-config.yaml
.
You can check whether hooks work as intended using the run command:
pre-commit run [hook-id] [options]
Example: run single hook
pre-commit run ruff --all-files --hook-stage push
Example: run all hooks of pre-push stage
pre-commit run --all-files --hook-stage push
- To build the documentation, run:
sphinx-build docs/ docs/_build/html/
. - Open
docs/_build/html/index.html
to see the documentation.
If you have added custom text, make sure to wrap it in _()
where _
is
gettext_lazy (from django.utils.translation import gettext_lazy as _
).
How to create translation file:
- Navigate to
ambient-toolbox
python manage.py makemessages -l de
- Have a look at the new/changed files within
ambient_toolbox/locale
How to compile translation files:
- Navigate to
ambient-toolbox
python manage.py compilemessages
- Have a look at the new/changed files within
ambient_toolbox/locale
- 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.
-
Update documentation about new/changed functionality
-
Update the
Changelog
-
Increment version in main
__init__.py
-
Create pull request / merge to master
-
This project uses the flit package to publish to PyPI. Thus publishing should be as easy as running:
flit publish
To publish to TestPyPI use the following ensure that you have set up your .pypirc as shown here and use the following command:
flit publish --repository testpypi
Please note that this package supports the ambient-package-update.
So you don't have to worry about the maintenance of this package. All important configuration and setup files are
being rendered by this updater. 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".