mirror of
https://github.com/graphql-python/graphene-django.git
synced 2024-11-23 01:57:08 +03:00
110 lines
2.6 KiB
Markdown
110 lines
2.6 KiB
Markdown
Please read [UPGRADE-v1.0.md](https://github.com/graphql-python/graphene/blob/master/UPGRADE-v1.0.md) to learn how to upgrade to Graphene `1.0`.
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---
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# ![Graphene Logo](http://graphene-python.org/favicon.png) Graphene-Django [![Build Status](https://travis-ci.org/graphql-python/graphene-django.svg?branch=master)](https://travis-ci.org/graphql-python/graphene-django) [![PyPI version](https://badge.fury.io/py/graphene-django.svg)](https://badge.fury.io/py/graphene-django) [![Coverage Status](https://coveralls.io/repos/graphql-python/graphene-django/badge.svg?branch=master&service=github)](https://coveralls.io/github/graphql-python/graphene-django?branch=master)
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A [Django](https://www.djangoproject.com/) integration for [Graphene](http://graphene-python.org/).
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## Installation
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For instaling graphene, just run this command in your shell
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```bash
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pip install "graphene-django>=1.0"
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```
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### Settings
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```python
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INSTALLED_APPS = (
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# ...
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'graphene_django',
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)
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GRAPHENE = {
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'SCHEMA': 'app.schema.schema' # Where your Graphene schema lives
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}
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```
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### Urls
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We need to set up a `GraphQL` endpoint in our Django app, so we can serve the queries.
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```python
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from django.conf.urls import url
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from graphene_django.views import GraphQLView
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urlpatterns = [
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# ...
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url(r'^graphql', GraphQLView.as_view(graphiql=True)),
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]
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```
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## Examples
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Here is a simple Django model:
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```python
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from django.db import models
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class UserModel(models.Model):
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name = models.CharField(max_length=100)
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last_name = models.CharField(max_length=100)
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```
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To create a GraphQL schema for it you simply have to write the following:
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```python
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from graphene_django import DjangoObjectType
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import graphene
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class User(DjangoObjectType):
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class Meta:
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model = UserModel
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class Query(graphene.ObjectType):
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users = graphene.List(User)
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@graphene.resolve_only_args
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def resolve_users(self):
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return UserModel.objects.all()
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schema = graphene.Schema(query=Query)
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```
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Then you can simply query the schema:
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```python
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query = '''
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query {
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users {
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name,
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lastName
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}
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}
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'''
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result = schema.execute(query)
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```
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To learn more check out the following [examples](examples/):
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* **Schema with Filtering**: [Cookbook example](examples/cookbook)
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* **Relay Schema**: [Starwars Relay example](examples/starwars)
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## Contributing
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After cloning this repo, ensure dependencies are installed by running:
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```sh
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python setup.py install
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```
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After developing, the full test suite can be evaluated by running:
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```sh
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python setup.py test # Use --pytest-args="-v -s" for verbose mode
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```
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