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Some Django Wizardry

Project description

NWON-Django-Toolbox

This package provides some Django additions that can be used across several projects.

Settings

The Django Toolbox can be configured using the Django settings. We expect the key NWON_DJANGO that holds a dictionary. The dictionary must be of type NWONDjangoSettings that comes with this package (nwon_django_toolbox.nwon_django_settings). The keys mus be snake case or camel case.

For example like this

NWON_DJANGO: NWONDjangoSettings = {
    "authorization_prefix": "Bearer",
    "logger_name": "your-log-name",
    "application_name": "application"
}

Dependencies

The project has a bunch of dependencies that we use in most of our projects. In the end we have quite a lot and need to slim this down in the future.

Django related libraries are:

  • Django (Obviously 🧠)
  • django-polymorphic
  • django-json-widget
  • django-rest-polymorphic

For API documentation our models and serializer support two library which come as a dependency as well:

  • drf-spectacular
  • drf-yasg

On top we use a bunch of helper libraries

  • Pydantic
  • Pillow-PIL
  • jsonref
  • jsonschema-to-openapi
  • pyhumps
  • nwon-baseline

Package is meant for internal use at NWON as breaking changes may occur on version changes. This may change at some point but not for now 😇.

Development Setup

We recommend developing using poetry.

This are the steps to setup the project with a local virtual environment:

  1. Tell poetry to create dependencies in a .venv folder withing the project: poetry config virtualenvs.in-project true
  2. Create a virtual environment using the local python version: poetry env use $(cat .python-version)
  3. Install dependencies: poetry install

Prepare Package

Before publishing the package we need to:

  1. Clean dist folder
  2. Bump up the version of the package
  3. Build the package

Luckily we provide a script for doing all of this python scripts/prepare.py patch. Alternatively you can run the script in a poetry context poetry run prepare patch. The argument at the end defines whether you want a patch, minor or major version bump.

The final zipped data ends up in the dist folder.

Publish Package

Test package publication

  1. Add test PyPi repository: poetry config repositories.testpypi https://test.pypi.org/legacy/
  2. Publish the package to the test repository: poetry publish -r testpypi
  3. Test package: pip install --index-url https://test.pypi.org/simple/ nwon_baseline

If everything works fine publish the package via poetry publish.

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