Filtering ========= Graphene integrates with `django-filter `__ to provide filtering of results. See the `usage documentation `__ for details on the format for ``filter_fields``. This filtering is automatically available when implementing a ``relay.Node``. Additionally ``django-filter`` is an optional dependency of Graphene. You will need to install it manually, which can be done as follows: .. code:: bash # You'll need to django-filter pip install django-filter Note: The techniques below are demoed in the `cookbook example app `__. Filterable fields ----------------- The ``filter_fields`` parameter is used to specify the fields which can be filtered upon. The value specified here is passed directly to ``django-filter``, so see the `filtering documentation `__ for full details on the range of options available. For example: .. code:: python class AnimalNode(DjangoObjectType): class Meta: # Assume you have an Animal model defined with the following fields model = Animal filter_fields = ['name', 'genus', 'is_domesticated'] interfaces = (relay.Node, ) class Query(ObjectType): animal = relay.Node.Field(AnimalNode) all_animals = DjangoFilterConnectionField(AnimalNode) You could then perform a query such as: .. code:: query { # Note that fields names become camelcased allAnimals(genus: "cat", isDomesticated: true) { edges { node { id, name } } } } You can also make more complex lookup types available: .. code:: python class AnimalNode(DjangoObjectType): class Meta: model = Animal # Provide more complex lookup types filter_fields = { 'name': ['exact', 'icontains', 'istartswith'], 'genus': ['exact'], 'is_domesticated': ['exact'], } interfaces = (relay.Node, ) Which you could query as follows: .. code:: query { # Note that fields names become camelcased allAnimals(name_Icontains: "lion") { edges { node { id, name } } } } Custom Filtersets ----------------- By default Graphene provides easy access to the most commonly used features of ``django-filter``. This is done by transparently creating a ``django_filters.FilterSet`` class for you and passing in the values for ``filter_fields``. However, you may find this to be insufficient. In these cases you can create your own ``Filterset`` as follows: .. code:: python class AnimalNode(DjangoObjectType): class Meta: # Assume you have an Animal model defined with the following fields model = Animal filter_fields = ['name', 'genus', 'is_domesticated'] interfaces = (relay.Node, ) class AnimalFilter(django_filters.FilterSet): # Do case-insensitive lookups on 'name' name = django_filters.CharFilter(lookup_expr=['iexact']) class Meta: model = Animal fields = ['name', 'genus', 'is_domesticated'] class Query(ObjectType): animal = relay.Node.Field(AnimalNode) # We specify our custom AnimalFilter using the filterset_class param all_animals = DjangoFilterConnectionField(AnimalNode, filterset_class=AnimalFilter) The context argument is passed on as the `request argument `__ in a ``django_filters.FilterSet`` instance. You can use this to customize your filters to be context-dependent. We could modify the ``AnimalFilter`` above to pre-filter animals owned by the authenticated user (set in ``context.user``). .. code:: python class AnimalFilter(django_filters.FilterSet): # Do case-insensitive lookups on 'name' name = django_filters.CharFilter(lookup_type='iexact') class Meta: model = Animal fields = ['name', 'genus', 'is_domesticated'] @property def qs(self): # The query context can be found in self.request. return super(AnimalFilter, self).filter(owner=self.request.user)