A Django library for connecting to Google Cloud Datastore from Python 3 runtimes.
Project description
# Django GCloud Connectors (DGC)
Note: This project is now living in GitLab: https://gitlab.com/potato-oss/google-cloud/django-gcloud-connectors
WARNING: This is very much a work in progress, is unstable, and not ready for use
The aim of this project is to create Django database connector / backend for Google Cloud.
Currently it contains a connector for the Google Cloud Datastore (Datastore in Firestore mode) but in the future it may also include a Firestore connector, or even a MemoryStore one.
This is the continuation of the Datastore connector from the [Djangae project](https://github.com/potatolondon/djangae) but converted to use the [Cloud Datastore API](https://googleapis.github.io/google-cloud-python/latest/datastore/) on Python 3.
If you are interested in submitting a patch, please refer to CONTRIBUTING.md
## Running the tests
` $ pip3 install --user tox $ tox `
Under the hood tox runs ./manage.py test. To pass down arguments to this command simply separate them with a double hyphen. e.g.
` tox -e py37 -- --failfast `
# Automatic Cloud Datastore Emulator startup
gcloudc provides overrides for the runserver and test commands which start and stop a Cloud Datastore Emulator instance. To enable this functionality just add gcloudc.commands to your INSTALLED_APPS setting.
# Release process
Release to pypi is managed by GitLab CI. To create a new release create the relevant tag and push it to the gitlab remote e.g.
` git tag 1.0.0 git push origin 1.0.0 `
This will trigger a pipeline that will publish the package in test.pypi.org. If that is successful, you can then manually trigger the job publish to prod pypi on the same pipeline to deploy to the official pypi registry.
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