graphene/docs/types/interfaces.rst

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.. _Interfaces:
Interfaces
==========
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An *Interface* is an abstract type that defines a certain set of fields that a
type must include to implement the interface.
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For example, you can define an Interface ``Character`` that represents any
character in the Star Wars trilogy:
.. code:: python
import graphene
class Character(graphene.Interface):
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id = graphene.ID(required=True)
name = graphene.String(required=True)
friends = graphene.List(lambda: Character)
Any ObjectType that implements ``Character`` will have these exact fields, with
these arguments and return types.
For example, here are some types that might implement ``Character``:
.. code:: python
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class Human(graphene.ObjectType):
class Meta:
interfaces = (Character, )
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starships = graphene.List(Starship)
home_planet = graphene.String()
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class Droid(graphene.ObjectType):
class Meta:
interfaces = (Character, )
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primary_function = graphene.String()
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Both of these types have all of the fields from the ``Character`` interface,
but also bring in extra fields, ``home_planet``, ``starships`` and
``primary_function``, that are specific to that particular type of character.
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The full GraphQL schema definition will look like this:
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.. code::
interface Character {
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id: ID!
name: String!
friends: [Character]
}
type Human implements Character {
id: ID!
name: String!
friends: [Character]
starships: [Starship]
homePlanet: String
}
type Droid implements Character {
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id: ID!
name: String!
friends: [Character]
primaryFunction: String
}
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Interfaces are useful when you want to return an object or set of objects,
which might be of several different types.
For example, you can define a field ``hero`` that resolves to any
``Character``, depending on the episode, like this:
.. code:: python
class Query(graphene.ObjectType):
hero = graphene.Field(
Character,
required=True,
episode=graphene.Int(required=True)
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)
def resolve_hero(root, info, episode):
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# Luke is the hero of Episode V
if episode == 5:
return get_human(name='Luke Skywalker')
return get_droid(name='R2-D2')
schema = graphene.Schema(query=Query, types=[Human, Droid])
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This allows you to directly query for fields that exist on the Character interface
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as well as selecting specific fields on any type that implements the interface
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using `inline fragments <https://graphql.org/learn/queries/#inline-fragments>`_.
For example, the following query:
.. code::
query HeroForEpisode($episode: Int!) {
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hero(episode: $episode) {
__typename
name
... on Droid {
primaryFunction
}
... on Human {
homePlanet
}
}
}
Will return the following data with variables ``{ "episode": 4 }``:
.. code:: json
{
"data": {
"hero": {
"__typename": "Droid",
"name": "R2-D2",
"primaryFunction": "Astromech"
}
}
}
And different data with the variables ``{ "episode": 5 }``:
.. code:: json
{
"data": {
"hero": {
"__typename": "Human",
"name": "Luke Skywalker",
"homePlanet": "Tatooine"
}
}
}
Resolving data objects to types
-------------------------------
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As you build out your schema in Graphene it's common for your resolvers to
return objects that represent the data backing your GraphQL types rather than
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instances of the Graphene types (e.g. Django or SQLAlchemy models). This works
well with ``ObjectType`` and ``Scalar`` fields, however when you start using
Interfaces you might come across this error:
.. code::
"Abstract type Character must resolve to an Object type at runtime for field Query.hero ..."
This happens because Graphene doesn't have enough information to convert the
data object into a Graphene type needed to resolve the ``Interface``. To solve
this you can define a ``resolve_type`` class method on the ``Interface`` which
maps a data object to a Graphene type:
.. code:: python
class Character(graphene.Interface):
id = graphene.ID(required=True)
name = graphene.String(required=True)
@classmethod
def resolve_type(cls, instance, info):
if instance.type == 'DROID':
return Droid
return Human