mirror of
https://github.com/graphql-python/graphene.git
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101 lines
2.4 KiB
Markdown
101 lines
2.4 KiB
Markdown
# Graphene [](https://travis-ci.org/graphql-python/graphene) [](https://coveralls.io/github/graphql-python/graphene?branch=master)
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Graphene is a Python library for creating GraphQL schemas/types easly.
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It maps the models/fields to internal GraphQL objects without effort.
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Including automatic [Django models](#djangorelay-schema) conversion.
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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
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```
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## Usage
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Example code of a GraphQL schema using Graphene:
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### Schema definition
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```python
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class Character(graphene.Interface):
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id = graphene.IDField()
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name = graphene.StringField()
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friends = graphene.ListField('self')
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def resolve_friends(self, args, *_):
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return [Human(f) for f in self.instance.friends]
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class Human(Character):
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homePlanet = graphene.StringField()
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class Query(graphene.ObjectType):
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human = graphene.Field(Human)
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schema = graphene.Schema(query=Query)
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```
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Then Querying `graphene.Schema` is as simple as:
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```python
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query = '''
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query HeroNameQuery {
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hero {
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name
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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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### Relay Schema
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Graphene also supports Relay, check the [Starwars Relay example](tests/starwars_relay)!
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```python
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class Ship(relay.Node):
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name = graphene.StringField()
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@classmethod
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def get_node(cls, id):
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return Ship(your_ship_instance)
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class Query(graphene.ObjectType):
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ships = relay.ConnectionField(Ship)
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node = relay.NodeField()
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```
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### Django+Relay Schema
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If you want to use graphene with your Django Models check the [Starwars Django example](tests/starwars_django)!
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```python
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class Ship(DjangoNode):
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class Meta:
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model = YourDjangoModelHere
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# only_fields = ('id', 'name') # Only map this fields from the model
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# exclude_fields ('field_to_exclude', ) # Exclude mapping this fields from the model
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class Query(graphene.ObjectType):
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node = relay.NodeField()
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```
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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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