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	GraphQL framework for Python
			
		
		
		
		
		
		
		
		
		
		
		
			| graphene | ||
| tests | ||
| .gitignore | ||
| .travis.yml | ||
| LICENSE | ||
| README.md | ||
| README.rst | ||
| setup.cfg | ||
| setup.py | ||
| tox.ini | ||
 Graphene
 Graphene  
 
Graphene is a Python library for building GraphQL schemas/types fast and easily.
- Easy to use: It maps the models/fields to internal GraphQL objects without effort.
- Relay: Graphene has builtin support for Relay
- Django: Automatic Django models conversion. See an example Django implementation
Installation
For instaling graphene, just run this command in your shell
pip install graphene
Usage
Example code of a GraphQL schema using Graphene:
Schema definition
class Character(graphene.Interface):
    id = graphene.IDField()
    name = graphene.StringField()
    friends = graphene.ListField('self')
    def resolve_friends(self, args, *_):
        return [Human(f) for f in self.instance.friends]
class Human(Character):
    homePlanet = graphene.StringField()
class Query(graphene.ObjectType):
    human = graphene.Field(Human)
schema = graphene.Schema(query=Query)
Then Querying graphene.Schema is as simple as:
query = '''
    query HeroNameQuery {
      hero {
        name
      }
    }
'''
result = schema.execute(query)
Relay Schema
Graphene also supports Relay, check the Starwars Relay example!
class Ship(relay.Node):
    name = graphene.StringField()
    @classmethod
    def get_node(cls, id):
        return Ship(your_ship_instance)
class Query(graphene.ObjectType):
    ships = relay.ConnectionField(Ship)
    node = relay.NodeField()
Django+Relay Schema
If you want to use graphene with your Django Models check the Starwars Django example!
class Ship(DjangoNode):
    class Meta:
        model = YourDjangoModelHere
        # only_fields = ('id', 'name') # Only map this fields from the model
        # exclude_fields ('field_to_exclude', ) # Exclude mapping this fields from the model
class Query(graphene.ObjectType):
    node = relay.NodeField()
Contributing
After cloning this repo, ensure dependencies are installed by running:
python setup.py install
After developing, the full test suite can be evaluated by running:
python setup.py test # Use --pytest-args="-v -s" for verbose mode