.. _queries-objecttypes: Queries & ObjectTypes ===================== Introduction ------------ Graphene-Django offers a host of features for performing GraphQL queries. Graphene-Django ships with a special ``DjangoObjectType`` that automatically transforms a Django Model into a ``ObjectType`` for you. Full example ~~~~~~~~~~~~ .. code:: python # my_app/schema.py import graphene from graphene_django.types import DjangoObjectType from .models import Question class QuestionType(DjangoObjectType): class Meta: model = Question fields = '__all__' class Query: questions = graphene.List(QuestionType) question = graphene.Field(QuestionType, question_id=graphene.String()) def resolve_questions(self, info, **kwargs): # Querying a list return Question.objects.all() def resolve_question(self, info, question_id): # Querying a single question return Question.objects.get(pk=question_id) Specifying which fields to include ---------------------------------- By default, ``DjangoObjectType`` will present all fields on a Model through GraphQL. If you only want a subset of fields to be present, you can do so using ``fields`` or ``exclude``. It is strongly recommended that you explicitly set all fields that should be exposed using the fields attribute. This will make it less likely to result in unintentionally exposing data when your models change. Setting neither ``fields`` nor ``exclude`` is deprecated and will raise a warning, you should at least explicitly make ``DjangoObjectType`` include all fields in the model as described below. ``fields`` ~~~~~~~~~~ Show **only** these fields on the model: .. code:: python class QuestionType(DjangoObjectType): class Meta: model = Question fields = ('id', 'question_text') You can also set the ``fields`` attribute to the special value ``'__all__'`` to indicate that all fields in the model should be used. For example: .. code:: python class QuestionType(DjangoObjectType): class Meta: model = Question fields = '__all__' ``exclude`` ~~~~~~~~~~~ Show all fields **except** those in ``exclude``: .. code:: python class QuestionType(DjangoObjectType): class Meta: model = Question exclude = ('question_text',) Customising fields ------------------ You can completely overwrite a field, or add new fields, to a ``DjangoObjectType`` using a Resolver: .. code:: python class QuestionType(DjangoObjectType): class Meta: model = Question fields = ('id', 'question_text') extra_field = graphene.String() def resolve_extra_field(self, info): return 'hello!' Choices to Enum conversion ~~~~~~~~~~~~~~~~~~~~~~~~~~ By default Graphene-Django will convert any Django fields that have `choices`_ defined into a GraphQL enum type. .. _choices: https://docs.djangoproject.com/en/2.2/ref/models/fields/#choices For example the following ``Model`` and ``DjangoObjectType``: .. code:: python class PetModel(models.Model): kind = models.CharField(max_length=100, choices=(('cat', 'Cat'), ('dog', 'Dog'))) class Pet(DjangoObjectType): class Meta: model = PetModel fields = '__all__' Results in the following GraphQL schema definition: .. code:: type Pet { id: ID! kind: PetModelKind! } enum PetModelKind { CAT DOG } You can disable this automatic conversion by setting ``convert_choices_to_enum`` attribute to ``False`` on the ``DjangoObjectType`` ``Meta`` class. .. code:: python class Pet(DjangoObjectType): class Meta: model = PetModel fields = '__all__' convert_choices_to_enum = False .. code:: type Pet { id: ID! kind: String! } You can also set ``convert_choices_to_enum`` to a list of fields that should be automatically converted into enums: .. code:: python class Pet(DjangoObjectType): class Meta: model = PetModel fields = '__all__' convert_choices_to_enum = ['kind'] **Note:** Setting ``convert_choices_to_enum = []`` is the same as setting it to ``False``. Related models -------------- Say you have the following models: .. code:: python class Category(models.Model): foo = models.CharField(max_length=256) class Question(models.Model): category = models.ForeignKey(Category, on_delete=models.CASCADE) When ``Question`` is published as a ``DjangoObjectType`` and you want to add ``Category`` as a query-able field like so: .. code:: python class QuestionType(DjangoObjectType): class Meta: model = Question fields = ('category',) Then all query-able related models must be defined as DjangoObjectType subclass, or they will fail to show if you are trying to query those relation fields. You only need to create the most basic class for this to work: .. code:: python class CategoryType(DjangoObjectType): class Meta: model = Category fields = '__all__' .. _django-objecttype-get-queryset: Default QuerySet ----------------- If you are using ``DjangoObjectType`` you can define a custom `get_queryset` method. Use this to control filtering on the ObjectType level instead of the Query object level. .. code:: python from graphene_django.types import DjangoObjectType from .models import Question class QuestionType(DjangoObjectType): class Meta: model = Question fields = '__all__' @classmethod def get_queryset(cls, queryset, info): if info.context.user.is_anonymous: return queryset.filter(published=True) return queryset Resolvers --------- When a GraphQL query is received by the ``Schema`` object, it will map it to a "Resolver" related to it. This resolve method should follow this format: .. code:: python def resolve_foo(self, info, **kwargs): Where "foo" is the name of the field declared in the ``Query`` object. .. code:: python class Query: foo = graphene.List(QuestionType) def resolve_foo(self, info, **kwargs): id = kwargs.get('id') return QuestionModel.objects.get(id) Arguments ~~~~~~~~~ Additionally, Resolvers will receive **any arguments declared in the field definition**. This allows you to provide input arguments in your GraphQL server and can be useful for custom queries. .. code:: python class Query: question = graphene.Field(Question, foo=graphene.String(), bar=graphene.Int()) def resolve_question(self, info, foo, bar): # If `foo` or `bar` are declared in the GraphQL query they will be here, else None. return Question.objects.filter(foo=foo, bar=bar).first() Info ~~~~ The ``info`` argument passed to all resolve methods holds some useful information. For Graphene-Django, the ``info.context`` attribute is the ``HTTPRequest`` object that would be familiar to any Django developer. This gives you the full functionality of Django's ``HTTPRequest`` in your resolve methods, such as checking for authenticated users: .. code:: python def resolve_questions(self, info, **kwargs): # See if a user is authenticated if info.context.user.is_authenticated(): return Question.objects.all() else: return Question.objects.none() DjangoObjectTypes ~~~~~~~~~~~~~~~~~ A Resolver that maps to a defined `DjangoObjectType` should only use methods that return a queryset. Queryset methods like `values` will return dictionaries, use `defer` instead. Plain ObjectTypes ----------------- With Graphene-Django you are not limited to just Django Models - you can use the standard ``ObjectType`` to create custom fields or to provide an abstraction between your internal Django models and your external API. .. code:: python import graphene from .models import Question class MyQuestion(graphene.ObjectType): text = graphene.String() class Query: question = graphene.Field(MyQuestion, question_id=graphene.String()) def resolve_question(self, info, question_id): question = Question.objects.get(pk=question_id) return MyQuestion( text=question.question_text ) For more information and more examples, please see the `core object type documentation `__. Relay ----- `Relay `__ with Graphene-Django gives us some additional features: - Pagination and slicing. - An abstract ``id`` value which contains enough info for the server to know its type and its id. There is one additional import and a single line of code needed to adopt this: Full example ~~~~~~~~~~~~ See the `Relay documentation `__ on the core graphene pages for more information on customizing the Relay experience. .. code:: python from graphene import relay from graphene_django import DjangoObjectType from .models import Question class QuestionType(DjangoObjectType): class Meta: model = Question fields = '__all__' interfaces = (relay.Node,) class QuestionConnection(relay.Connection): class Meta: node = QuestionType class Query: questions = relay.ConnectionField(QuestionConnection) def resolve_questions(root, info, **kwargs): return Question.objects.all() You can now execute queries like: .. code:: python { questions (first: 2, after: "YXJyYXljb25uZWN0aW9uOjEwNQ==") { pageInfo { startCursor endCursor hasNextPage hasPreviousPage } edges { cursor node { id question_text } } } } Which returns: .. code:: python { "data": { "questions": { "pageInfo": { "startCursor": "YXJyYXljb25uZWN0aW9uOjEwNg==", "endCursor": "YXJyYXljb25uZWN0aW9uOjEwNw==", "hasNextPage": true, "hasPreviousPage": false }, "edges": [ { "cursor": "YXJyYXljb25uZWN0aW9uOjEwNg==", "node": { "id": "UGxhY2VUeXBlOjEwNw==", "question_text": "How did we get here?" } }, { "cursor": "YXJyYXljb25uZWN0aW9uOjEwNw==", "node": { "id": "UGxhY2VUeXBlOjEwOA==", "name": "Where are we?" } } ] } } } Note that relay implements :code:`pagination` capabilities automatically, adding a :code:`pageInfo` element, and including :code:`cursor` on nodes. These elements are included in the above example for illustration. To learn more about Pagination in general, take a look at `Pagination `__ on the GraphQL community site.