refine_queryset lets DjangoObjectType define exactly how the queryset should be refined before being returned to the user. For instance, some objects could be filtered out according to a predicate, or some fields could be prefetched depending on what the initial query requested. get_connection_parameters lets DjangoObjectType define the name and value of parameters that can be passed to any DjangoConnectionField that uses them. Both these additions come as building blocks to allow custom refinements and filters without having to go through django-filter. Moreover, such filters can also be further optimized than previously allowed, as the GraphQL info object is available in refine_queryset. |
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bin | ||
docs | ||
examples | ||
graphene_django | ||
.coveragerc | ||
.gitignore | ||
.travis.yml | ||
django_test_settings.py | ||
LICENSE | ||
MANIFEST.in | ||
pytest.ini | ||
README.md | ||
README.rst | ||
setup.cfg | ||
setup.py |
Please read UPGRADE-v2.0.md to learn how to upgrade to Graphene 2.0
.
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 = (
# ...
'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