django-graphene-firebase-auth 0.0.19

Firebase authentication with django graphene

graphene-django-firebase-auth

Authentication provider for graphene-django and Firebase's Authentication service.

Note this is a WIP and abandoned project since I never ended up using Firebase. But the code is still a good starting point as of writing this.

Partially inspired by django-firebase-auth for Django REST framework.

This app is used with Firebase Authentication on a client.

Compatibility

This code has only been tested with Python 3.7.0 and Django 2.1.2.

Installing

1. Install the app:

pipenv install graphene-django-firebase-auth

2. Download the JSON file from your Firebase console with your account's credentials.

3. Set FIREBASE_KEY_FILE in your project's settings to the path of the credentials file:

FIREBASE_KEY_FILE = os.path.join(BASE_DIR, 'path/to/firebase-credentials.json')

4. Add the authentication backend to AUTHENTICATION_BACKENDS:

AUTHENTICATION_BACKENDS = ['firebase_auth.authentication.FirebaseAuthentication']

5. Add firebase_auth to INSTALLED_APPS:

INSTALLED_APPS = [
  '...',
  'firebase_auth',
]

6. Add FirebaseAuthMixin to your AUTH_USER_MODEL:

class User(PermissionsMixin, FirebaseAuthMixin):
    # ...

7. Build and run your DB migrations to add the changes:

./manage.py makemigrations
./manage.py migrate

Using the package

Once installed, authentication will be managed using this package. You can access info.context.user to add authentication logic, such as with the following:

def resolve_users(self, info, **kwargs):
    success = False

    if info.context.user.is_authenticated:
        success = True
    return success

Sending tokens on the client

Your client will need to send an Authorization: Bearer token on each request. How you do this depends on your client and is outside the scope of this documentation.

Developing

Setting up your environment

1. Install the dependencies:

pipenv install -d

2. Download the JSON file from your Firebase console with your account's credentials.

3. Create an .env file using .env.example as a template. Make sure to specify the path to the file in the previous step.

4. Enter the virtual environment:

./manage.py shell

Other commands

# Run the tests
./manage.py test

# Lint the code
./lint.sh