The best way to run Django on Google Cloud.
Djangae (djan-gee) is a Django app that allows you to run Django applications on the Google Cloud platform, including (if you want to) using Django’s models with Google Cloud Datastore as the underlying database.
Website | GitHub | Docs | Google Group
Looking for Commercial Support?
Potato offers Commercial Support for all its Open Source projects and we can tailor a support package to your needs.
If you’re interested in commercial support, training, or consultancy then go ahead and contact us at firstname.lastname@example.org
Note: Djangae is under heavy development, stability is not guaranteed. A 2.0 release will happen when it’s ready. If you are using Django 1.11 / Python 2.7, please use the 1.x branch
- Hooks to manage a series of Google Cloud emulators to simulate the Google App Engine environment locally
- A tasks app which implements “deferred” tasks on Google Cloud Tasks, and functions for iterating large datasets
- Utility functions to discover information about the running environment
- A series of security patches and checks to improve the security of your project
- Test utils for testing code that uses the Cloud Tasks API
- Apps for cross-request locking and efficient pagination on the Google Cloud Datastore
Supported Django Versions
Djangae currently supports Django 2.2.
Contributing to Djangae
Djangae is actively developed and maintained, so if you’re thinking of contributing to the codebase, here is how to get started.
Get started with development
- First off, head to our Github page and fork the repository to have your own copy of it.
- Clone it locally to start setting up your development environment
- Run all tests to make sure your local version is working:
tox -e py37
Pick an issue & send a pull request
If you spotted a bug in Djangae that you want to fix, it’s a good idea to start off by adding an issue. This will allow us to verify that your issue is valid, and suggest ideas for fixing it, so no time is wasted for you.
For help with creating the pull request, check out Github documentation.
Code style should follow PEP-8 with a loose line length of 100 characters.
Reach out to us on djangae-users mailing list.
Pull request requirements
For pull request to be merged, following requirements should be met:
- Tests covering new or changed code are added or updated
- Relevant documentation should be updated or added
- Line item should be added to CHANGELOG.md, unless change is really irrelevant
On setting up the first time, create a Python 3 virtualenv and install the prerequisites with
# install tox pip install tox # install the datastore emulator gcloud components install cloud-datastore-emulator
If you don’t have
gcloud (the Google Cloud SDK) installed, installation instructions can be found here
For running the tests, you just need to run:
$ tox -e py37
You can run specific tests in the usual way by doing:
tox -e py37 -- some_app.SomeTestCase.some_test_method