fix: in and range filters on DjangoFilterConnectionField (#1070)

Co-authored-by: Thomas Leonard <thomas@loftorbital.com>

graphene_django/filter/fields.py

@@ -21,6 +21,7 @@ class DjangoFilterConnectionField(DjangoConnectionField):
         self._fields = fields
         self._provided_filterset_class = filterset_class
         self._filterset_class = None
+        self._filtering_args = None
         self._extra_filter_meta = extra_filter_meta
         self._base_args = None
         super(DjangoFilterConnectionField, self).__init__(type, *args, **kwargs)
@@ -50,7 +51,11 @@ class DjangoFilterConnectionField(DjangoConnectionField):
 
     @property
     def filtering_args(self):
-        return get_filtering_args_from_filterset(self.filterset_class, self.node_type)
+        if not self._filtering_args:
+            self._filtering_args = get_filtering_args_from_filterset(
+                self.filterset_class, self.node_type
+            )
+        return self._filtering_args
 
     @classmethod
     def resolve_queryset(

graphene_django/filter/tests/test_in_filter.py

@@ -0,0 +1,139 @@
+import pytest
+
+from graphene import ObjectType, Schema
+from graphene.relay import Node
+from graphene_django import DjangoObjectType
+from graphene_django.tests.models import Pet
+from graphene_django.utils import DJANGO_FILTER_INSTALLED
+
+pytestmark = []
+
+if DJANGO_FILTER_INSTALLED:
+    from graphene_django.filter import DjangoFilterConnectionField
+else:
+    pytestmark.append(
+        pytest.mark.skipif(
+            True, reason="django_filters not installed or not compatible"
+        )
+    )
+
+
+class PetNode(DjangoObjectType):
+    class Meta:
+        model = Pet
+        interfaces = (Node,)
+        filter_fields = {
+            "name": ["exact", "in"],
+            "age": ["exact", "in", "range"],
+        }
+
+
+class Query(ObjectType):
+    pets = DjangoFilterConnectionField(PetNode)
+
+
+def test_string_in_filter():
+    """
+    Test in filter on a string field.
+    """
+    Pet.objects.create(name="Brutus", age=12)
+    Pet.objects.create(name="Mimi", age=3)
+    Pet.objects.create(name="Jojo, the rabbit", age=3)
+
+    schema = Schema(query=Query)
+
+    query = """
+    query {
+        pets (name_In: ["Brutus", "Jojo, the rabbit"]) {
+            edges {
+                node {
+                    name
+                }
+            }
+        }
+    }
+    """
+    result = schema.execute(query)
+    assert not result.errors
+    assert result.data["pets"]["edges"] == [
+        {"node": {"name": "Brutus"}},
+        {"node": {"name": "Jojo, the rabbit"}},
+    ]
+
+
+def test_int_in_filter():
+    """
+    Test in filter on an integer field.
+    """
+    Pet.objects.create(name="Brutus", age=12)
+    Pet.objects.create(name="Mimi", age=3)
+    Pet.objects.create(name="Jojo, the rabbit", age=3)
+
+    schema = Schema(query=Query)
+
+    query = """
+    query {
+        pets (age_In: [3]) {
+            edges {
+                node {
+                    name
+                }
+            }
+        }
+    }
+    """
+    result = schema.execute(query)
+    assert not result.errors
+    assert result.data["pets"]["edges"] == [
+        {"node": {"name": "Mimi"}},
+        {"node": {"name": "Jojo, the rabbit"}},
+    ]
+
+    query = """
+    query {
+        pets (age_In: [3, 12]) {
+            edges {
+                node {
+                    name
+                }
+            }
+        }
+    }
+    """
+    result = schema.execute(query)
+    assert not result.errors
+    assert result.data["pets"]["edges"] == [
+        {"node": {"name": "Brutus"}},
+        {"node": {"name": "Mimi"}},
+        {"node": {"name": "Jojo, the rabbit"}},
+    ]
+
+
+def test_int_range_filter():
+    """
+    Test in filter on an integer field.
+    """
+    Pet.objects.create(name="Brutus", age=12)
+    Pet.objects.create(name="Mimi", age=8)
+    Pet.objects.create(name="Jojo, the rabbit", age=3)
+    Pet.objects.create(name="Picotin", age=5)
+
+    schema = Schema(query=Query)
+
+    query = """
+    query {
+        pets (age_Range: [4, 9]) {
+            edges {
+                node {
+                    name
+                }
+            }
+        }
+    }
+    """
+    result = schema.execute(query)
+    assert not result.errors
+    assert result.data["pets"]["edges"] == [
+        {"node": {"name": "Mimi"}},
+        {"node": {"name": "Picotin"}},
+    ]

graphene_django/filter/utils.py

@@ -1,6 +1,10 @@
 import six
 
+from graphene import List
+
 from django_filters.utils import get_model_field
+from django_filters.filters import Filter, BaseCSVFilter
+
 from .filterset import custom_filterset_factory, setup_filterset
 
 
@@ -17,8 +21,11 @@ def get_filtering_args_from_filterset(filterset_class, type):
         form_field = None
 
         if name in filterset_class.declared_filters:
+            # Get the filter field from the explicitly declared filter
             form_field = filter_field.field
+            field = convert_form_field(form_field)
         else:
+            # Get the filter field with no explicit type declaration
             model_field = get_model_field(model, filter_field.field_name)
             filter_type = filter_field.lookup_expr
             if filter_type != "isnull" and hasattr(model_field, "formfield"):
@@ -31,7 +38,14 @@ def get_filtering_args_from_filterset(filterset_class, type):
             if not form_field:
                 form_field = filter_field.field
 
-        field_type = convert_form_field(form_field).Argument()
+            field = convert_form_field(form_field)
+
+            if filter_type in ["in", "range"]:
+                # Replace CSV filters (`in`, `range`) argument type to be a list of the same type as the field.
+                # See comments in `replace_csv_filters` method for more details.
+                field = List(field.get_type())
+
+        field_type = field.Argument()
         field_type.description = filter_field.label
         args[name] = field_type
 
@@ -39,9 +53,42 @@ def get_filtering_args_from_filterset(filterset_class, type):
 
 
 def get_filterset_class(filterset_class, **meta):
-    """Get the class to be used as the FilterSet"""
+    """
+    Get the class to be used as the FilterSet.
+    """
     if filterset_class:
-        # If were given a FilterSet class, then set it up and
+        # If were given a FilterSet class, then set it up.
-        # return it
+        graphene_filterset_class = setup_filterset(filterset_class)
-        return setup_filterset(filterset_class)
+    else:
-    return custom_filterset_factory(**meta)
+        # Otherwise create one.
+        graphene_filterset_class = custom_filterset_factory(**meta)
+
+    replace_csv_filters(graphene_filterset_class)
+    return graphene_filterset_class
+
+
+def replace_csv_filters(filterset_class):
+    """
+    Replace the "in" and "range" filters (that are not explicitly declared) to not be BaseCSVFilter (BaseInFilter, BaseRangeFilter) objects anymore
+    but regular Filter objects that simply use the input value as filter argument on the queryset.
+
+    This is because those BaseCSVFilter are expecting a string as input with comma separated value but with GraphQl we
+    can actually have a list as input and have a proper type verification of each value in the list.
+
+    See issue https://github.com/graphql-python/graphene-django/issues/1068.
+    """
+    for name, filter_field in six.iteritems(filterset_class.base_filters):
+        filter_type = filter_field.lookup_expr
+        if (
+            filter_type in ["in", "range"]
+            and name not in filterset_class.declared_filters
+        ):
+            assert isinstance(filter_field, BaseCSVFilter)
+            filterset_class.base_filters[name] = Filter(
+                field_name=filter_field.field_name,
+                lookup_expr=filter_field.lookup_expr,
+                label=filter_field.label,
+                method=filter_field.method,
+                exclude=filter_field.exclude,
+                **filter_field.extra
+            )