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344 lines
9.5 KiB
ReStructuredText
344 lines
9.5 KiB
ReStructuredText
Filtering
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=========
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Graphene integrates with
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`django-filter <https://django-filter.readthedocs.io/en/main/>`__ to provide filtering of results.
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See the `usage documentation <https://django-filter.readthedocs.io/en/main/guide/usage.html#the-filter>`__
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for details on the format for ``filter_fields``.
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This filtering is automatically available when implementing a ``relay.Node``.
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Additionally ``django-filter`` is an optional dependency of Graphene.
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You will need to install it manually, which can be done as follows:
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.. code:: bash
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# You'll need to install django-filter
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pip install django-filter>=2
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After installing ``django-filter`` you'll need to add the application in the ``settings.py`` file:
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.. code:: python
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INSTALLED_APPS = [
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# ...
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"django_filters",
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]
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Note: The techniques below are demoed in the `cookbook example
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app <https://github.com/graphql-python/graphene-django/tree/master/examples/cookbook>`__.
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Filterable fields
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-----------------
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The ``filter_fields`` parameter is used to specify the fields which can
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be filtered upon. The value specified here is passed directly to
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``django-filter``, so see the `filtering
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documentation <https://django-filter.readthedocs.io/en/main/guide/usage.html#the-filter>`__
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for full details on the range of options available.
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For example:
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.. code:: python
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class AnimalNode(DjangoObjectType):
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class Meta:
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# Assume you have an Animal model defined with the following fields
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model = Animal
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fields = '__all__'
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filter_fields = ['name', 'genus', 'is_domesticated']
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interfaces = (relay.Node, )
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class Query(ObjectType):
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animal = relay.Node.Field(AnimalNode)
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all_animals = DjangoFilterConnectionField(AnimalNode)
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You could then perform a query such as:
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.. code::
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query {
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# Note that fields names become camelcased
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allAnimals(genus: "cat", isDomesticated: true) {
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edges {
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node {
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id,
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name
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}
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}
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}
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}
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You can also make more complex lookup types available:
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.. code:: python
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class AnimalNode(DjangoObjectType):
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class Meta:
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model = Animal
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fields = '__all__'
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# Provide more complex lookup types
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filter_fields = {
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'name': ['exact', 'icontains', 'istartswith'],
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'genus': ['exact'],
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'is_domesticated': ['exact'],
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}
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interfaces = (relay.Node, )
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Which you could query as follows:
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.. code::
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query {
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# Note that fields names become camelcased
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allAnimals(name_Icontains: "lion") {
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edges {
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node {
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id,
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name
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}
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}
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}
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}
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Custom Filtersets
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-----------------
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By default Graphene provides easy access to the most commonly used
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features of ``django-filter``. This is done by transparently creating a
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``django_filters.FilterSet`` class for you and passing in the values for
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``filter_fields``.
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However, you may find this to be insufficient. In these cases you can
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create your own ``FilterSet``. You can pass it directly as follows:
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.. code:: python
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class AnimalNode(DjangoObjectType):
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class Meta:
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# Assume you have an Animal model defined with the following fields
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model = Animal
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fields = '__all__'
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filter_fields = ['name', 'genus', 'is_domesticated']
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interfaces = (relay.Node, )
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class AnimalFilter(django_filters.FilterSet):
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# Do case-insensitive lookups on 'name'
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name = django_filters.CharFilter(lookup_expr=['iexact'])
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# Allow multiple genera to be selected at once
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genera = django_filters.MultipleChoiceFilter(
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field_name='genus',
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choices=(
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('Canis', 'Canis'),
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('Panthera', 'Panthera'),
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('Seahorse', 'Seahorse')
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)
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)
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class Meta:
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model = Animal
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fields = ['name', 'genus', 'is_domesticated']
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class Query(ObjectType):
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animal = relay.Node.Field(AnimalNode)
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# We specify our custom AnimalFilter using the filterset_class param
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all_animals = DjangoFilterConnectionField(AnimalNode,
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filterset_class=AnimalFilter)
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If you were interested in selecting all dogs and cats, you might query as follows:
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.. code::
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query {
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allAnimals(genera: ["Canis", "Panthera"]) {
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edges {
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node {
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id,
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name
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}
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}
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}
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}
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You can also specify the ``FilterSet`` class using the ``filterset_class``
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parameter when defining your ``DjangoObjectType``, however, this can't be used
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in unison with the ``filter_fields`` parameter:
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.. code:: python
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class AnimalFilter(django_filters.FilterSet):
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# Do case-insensitive lookups on 'name'
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name = django_filters.CharFilter(lookup_expr=['iexact'])
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class Meta:
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# Assume you have an Animal model defined with the following fields
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model = Animal
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fields = ['name', 'genus', 'is_domesticated']
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class AnimalNode(DjangoObjectType):
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class Meta:
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model = Animal
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fields = '__all__'
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filterset_class = AnimalFilter
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interfaces = (relay.Node, )
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class Query(ObjectType):
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animal = relay.Node.Field(AnimalNode)
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all_animals = DjangoFilterConnectionField(AnimalNode)
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The context argument is passed on as the `request argument <http://django-filter.readthedocs.io/en/main/guide/usage.html#request-based-filtering>`__
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in a ``django_filters.FilterSet`` instance. You can use this to customize your
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filters to be context-dependent. We could modify the ``AnimalFilter`` above to
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pre-filter animals owned by the authenticated user (set in ``context.user``).
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.. code:: python
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class AnimalFilter(django_filters.FilterSet):
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# Do case-insensitive lookups on 'name'
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name = django_filters.CharFilter(lookup_type=['iexact'])
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class Meta:
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model = Animal
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fields = ['name', 'genus', 'is_domesticated']
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@property
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def qs(self):
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# The query context can be found in self.request.
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return super(AnimalFilter, self).qs.filter(owner=self.request.user)
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Ordering
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--------
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You can use ``OrderFilter`` to define how you want your returned results to be ordered.
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Extend the tuple of fields if you want to order by more than one field.
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.. code:: python
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from django_filters import FilterSet, OrderingFilter
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class UserFilter(FilterSet):
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class Meta:
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model = UserModel
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order_by = OrderingFilter(
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fields=(
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('name', 'created_at'),
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)
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)
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class Group(DjangoObjectType):
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users = DjangoFilterConnectionField(Ticket, filterset_class=UserFilter)
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class Meta:
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name = 'Group'
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model = GroupModel
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fields = '__all__'
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interfaces = (relay.Node,)
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def resolve_users(self, info, **kwargs):
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return UserFilter(kwargs).qs
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with this set up, you can now order the users under group:
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.. code::
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query {
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group(id: "xxx") {
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users(orderBy: "-created_at") {
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xxx
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}
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}
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}
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PostgreSQL `ArrayField`
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-----------------------
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Graphene provides an easy to implement filters on `ArrayField` as they are not natively supported by django_filters:
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.. code:: python
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from django.db import models
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from django_filters import FilterSet, OrderingFilter
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from graphene_django.filter import ArrayFilter
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class Event(models.Model):
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name = models.CharField(max_length=50)
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tags = ArrayField(models.CharField(max_length=50))
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class EventFilterSet(FilterSet):
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class Meta:
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model = Event
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fields = {
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"name": ["exact", "contains"],
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}
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tags__contains = ArrayFilter(field_name="tags", lookup_expr="contains")
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tags__overlap = ArrayFilter(field_name="tags", lookup_expr="overlap")
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tags = ArrayFilter(field_name="tags", lookup_expr="exact")
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class EventType(DjangoObjectType):
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class Meta:
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model = Event
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interfaces = (Node,)
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fields = "__all__"
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filterset_class = EventFilterSet
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with this set up, you can now filter events by tags:
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.. code::
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query {
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events(tags_Overlap: ["concert", "festival"]) {
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name
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}
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}
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`TypedFilter`
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-------------
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Sometimes the automatic detection of the filter input type is not satisfactory for what you are trying to achieve.
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You can then explicitly specify the input type you want for your filter by using a `TypedFilter`:
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.. code:: python
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from django.db import models
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from django_filters import FilterSet, OrderingFilter
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import graphene
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from graphene_django.filter import TypedFilter
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class Event(models.Model):
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name = models.CharField(max_length=50)
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class EventFilterSet(FilterSet):
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class Meta:
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model = Event
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fields = {
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"name": ["exact", "contains"],
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}
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only_first = TypedFilter(input_type=graphene.Boolean, method="only_first_filter")
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def only_first_filter(self, queryset, _name, value):
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if value:
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return queryset[:1]
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else:
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return queryset
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class EventType(DjangoObjectType):
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class Meta:
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model = Event
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interfaces = (Node,)
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fields = "__all__"
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filterset_class = EventFilterSet
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