Mutations ========= A Mutation is a special ObjectType that also defines an Input. Quick example ------------- This example defines a Mutation: .. code:: python import graphene class CreatePerson(graphene.Mutation): class Arguments: name = graphene.String() ok = graphene.Boolean() person = graphene.Field(lambda: Person) def mutate(self, info, name): person = Person(name=name) ok = True return CreatePerson(person=person, ok=ok) **person** and **ok** are the output fields of the Mutation when it is resolved. **Arguments** attributes are the arguments that the Mutation ``CreatePerson`` needs for resolving, in this case **name** will be the only argument for the mutation. **mutate** is the function that will be applied once the mutation is called. So, we can finish our schema like this: .. code:: python # ... the Mutation Class class Person(graphene.ObjectType): name = graphene.String() age = graphene.Int() class MyMutations(graphene.ObjectType): create_person = CreatePerson.Field() # We must define a query for our schema class Query(graphene.ObjectType): person = graphene.Field(Person) schema = graphene.Schema(query=Query, mutation=MyMutations) Executing the Mutation ---------------------- Then, if we query (``schema.execute(query_str)``) the following: .. code:: mutation myFirstMutation { createPerson(name:"Peter") { person { name } ok } } We should receive: .. code:: json { "createPerson": { "person" : { "name": "Peter" }, "ok": true } } InputFields and InputObjectTypes ---------------------------------- InputFields are used in mutations to allow nested input data for mutations To use an InputField you define an InputObjectType that specifies the structure of your input data .. code:: python import graphene class PersonInput(graphene.InputObjectType): name = graphene.String(required=True) age = graphene.Int(required=True) class CreatePerson(graphene.Mutation): class Arguments: person_data = PersonInput(required=True) person = graphene.Field(Person) @staticmethod def mutate(root, info, person_data=None): person = Person( name=person_data.name, age=person_data.age ) return CreatePerson(person=person) Note that **name** and **age** are part of **person_data** now Using the above mutation your new query would look like this: .. code:: mutation myFirstMutation { createPerson(personData: {name:"Peter", age: 24}) { person { name, age } } } InputObjectTypes can also be fields of InputObjectTypes allowing you to have as complex of input data as you need .. code:: python import graphene class LatLngInput(graphene.InputObjectType): lat = graphene.Float() lng = graphene.Float() #A location has a latlng associated to it class LocationInput(graphene.InputObjectType): name = graphene.String() latlng = graphene.InputField(LatLngInput) Output type example ------------------- To return an existing ObjectType instead of a mutation-specific type, set the **Output** attribute to the desired ObjectType: .. code:: python import graphene class CreatePerson(graphene.Mutation): class Arguments: name = graphene.String() Output = Person def mutate(self, info, name): return Person(name=name) Then, if we query (``schema.execute(query_str)``) the following: .. code:: mutation myFirstMutation { createPerson(name:"Peter") { name __typename } } We should receive: .. code:: json { "createPerson": { "name": "Peter", "__typename": "Person" } }