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