Please read UPGRADE-v2.0.md to learn how to upgrade to Graphene 2.0.

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Graphene-Django

A Django integration for Graphene.

Installation

For installing graphene, just run this command in your shell

pip install "graphene-django>=2.0"

Settings

INSTALLED_APPS = (
    # ...
    'django.contrib.staticfiles', # Required for GraphiQL
    'graphene_django',
)

GRAPHENE = {
    'SCHEMA': 'app.schema.schema' # Where your Graphene schema lives
}

Urls

We need to set up a GraphQL endpoint in our Django app, so we can serve the queries.

from django.conf.urls import url
from graphene_django.views import GraphQLView

urlpatterns = [
    # ...
    url(r'^graphql', GraphQLView.as_view(graphiql=True)),
]

Examples

Here is a simple Django model:

from django.db import models

class UserModel(models.Model):
    name = models.CharField(max_length=100)
    last_name = models.CharField(max_length=100)

To create a GraphQL schema for it you simply have to write the following:

from graphene_django import DjangoObjectType
import graphene

class User(DjangoObjectType):
    class Meta:
        model = UserModel

class Query(graphene.ObjectType):
    users = graphene.List(User)

    def resolve_users(self, info):
        return UserModel.objects.all()

schema = graphene.Schema(query=Query)

Then you can simply query the schema:

query = '''
    query {
      users {
        name,
        lastName
      }
    }
'''
result = schema.execute(query)

To learn more check out the following examples:

• Schema with Filtering: Cookbook example
• Relay Schema: Starwars Relay example

Contributing

After cloning this repo, ensure dependencies are installed by running:

pip install -e ".[test]"

After developing, the full test suite can be evaluated by running:

py.test graphene_django --cov=graphene_django # Use -v -s for verbose mode

Documentation

The documentation is generated using the excellent Sphinx and a custom theme.

The documentation dependencies are installed by running:

cd docs
pip install -r requirements.txt

Then to produce a HTML version of the documentation:

make html