mirror of
https://github.com/graphql-python/graphene-django.git
synced 2024-11-22 01:27:01 +03:00
Add enum support to filters and fix filter typing (v3) (#1119)
* - Add filtering support for choice fields converted to graphql Enum (or not) - Fix type of various filters (used to default to String) - Fix bug with contains introduced in previous PR - Fix bug with declared filters being overridden (see PR #1108) - Fix support for ArrayField and add documentation * Fix for v3 Co-authored-by: Thomas Leonard <thomas@loftorbital.com>
This commit is contained in:
parent
5ce4553244
commit
2d4ca0ac7b
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@ -258,3 +258,46 @@ with this set up, you can now order the users under group:
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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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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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@ -35,7 +35,7 @@ from .utils.str_converters import to_const
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class BlankValueField(Field):
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def get_resolver(self, parent_resolver):
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def wrap_resolve(self, parent_resolver):
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resolver = self.resolver or parent_resolver
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# create custom resolver
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@ -9,10 +9,19 @@ if not DJANGO_FILTER_INSTALLED:
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)
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else:
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from .fields import DjangoFilterConnectionField
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from .filters import GlobalIDFilter, GlobalIDMultipleChoiceFilter
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from .filters import (
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ArrayFilter,
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GlobalIDFilter,
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GlobalIDMultipleChoiceFilter,
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ListFilter,
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RangeFilter,
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)
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__all__ = [
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"DjangoFilterConnectionField",
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"GlobalIDFilter",
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"GlobalIDMultipleChoiceFilter",
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"ArrayFilter",
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"ListFilter",
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"RangeFilter",
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]
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@ -2,12 +2,31 @@ from collections import OrderedDict
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from functools import partial
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from django.core.exceptions import ValidationError
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from graphene.types.enum import EnumType
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from graphene.types.argument import to_arguments
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from graphene.utils.str_converters import to_snake_case
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from ..fields import DjangoConnectionField
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from .utils import get_filtering_args_from_filterset, get_filterset_class
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def convert_enum(data):
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"""
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Check if the data is a enum option (or potentially nested list of enum option)
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and convert it to its value.
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This method is used to pre-process the data for the filters as they can take an
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graphene.Enum as argument, but filters (from django_filters) expect a simple value.
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"""
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if isinstance(data, list):
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return [convert_enum(item) for item in data]
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if isinstance(type(data), EnumType):
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return data.value
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else:
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return data
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class DjangoFilterConnectionField(DjangoConnectionField):
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def __init__(
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self,
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@ -43,8 +62,8 @@ class DjangoFilterConnectionField(DjangoConnectionField):
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if self._extra_filter_meta:
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meta.update(self._extra_filter_meta)
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filterset_class = self._provided_filterset_class or (
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self.node_type._meta.filterset_class
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filterset_class = (
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self._provided_filterset_class or self.node_type._meta.filterset_class
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)
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self._filterset_class = get_filterset_class(filterset_class, **meta)
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@ -68,7 +87,7 @@ class DjangoFilterConnectionField(DjangoConnectionField):
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if k in filtering_args:
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if k == "order_by" and v is not None:
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v = to_snake_case(v)
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kwargs[k] = v
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kwargs[k] = convert_enum(v)
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return kwargs
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qs = super(DjangoFilterConnectionField, cls).resolve_queryset(
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@ -78,7 +97,7 @@ class DjangoFilterConnectionField(DjangoConnectionField):
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filterset = filterset_class(
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data=filter_kwargs(), queryset=qs, request=info.context
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)
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if filterset.form.is_valid():
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if filterset.is_valid():
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return filterset.qs
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raise ValidationError(filterset.form.errors.as_json())
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@ -2,6 +2,7 @@ from django.core.exceptions import ValidationError
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from django.forms import Field
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from django_filters import Filter, MultipleChoiceFilter
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from django_filters.constants import EMPTY_VALUES
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from graphql_relay.node.node import from_global_id
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@ -31,14 +32,15 @@ class GlobalIDMultipleChoiceFilter(MultipleChoiceFilter):
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return super(GlobalIDMultipleChoiceFilter, self).filter(qs, gids)
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class InFilter(Filter):
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class ListFilter(Filter):
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"""
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Filter for a list of value using the `__in` Django filter.
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Filter that takes a list of value as input.
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It is for example used for `__in` filters.
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"""
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def filter(self, qs, value):
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"""
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Override the default filter class to check first weather the list is
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Override the default filter class to check first whether the list is
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empty or not.
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This needs to be done as in this case we expect to get an empty output
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(if not an exclude filter) but django_filter consider an empty list
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@ -73,3 +75,27 @@ class RangeField(Field):
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class RangeFilter(Filter):
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field_class = RangeField
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class ArrayFilter(Filter):
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"""
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Filter made for PostgreSQL ArrayField.
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"""
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def filter(self, qs, value):
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"""
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Override the default filter class to check first whether the list is
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empty or not.
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This needs to be done as in this case we expect to get the filter applied with
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an empty list since it's a valid value but django_filter consider an empty list
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to be an empty input value (see `EMPTY_VALUES`) meaning that
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the filter does not need to be applied (hence returning the original
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queryset).
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"""
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if value in EMPTY_VALUES and value != []:
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return qs
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if self.distinct:
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qs = qs.distinct()
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lookup = "%s__%s" % (self.field_name, self.lookup_expr)
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qs = self.get_method(qs)(**{lookup: value})
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return qs
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@ -9,6 +9,7 @@ import graphene
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from graphene.relay import Node
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from graphene_django import DjangoObjectType
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from graphene_django.utils import DJANGO_FILTER_INSTALLED
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from graphene_django.filter import ArrayFilter, ListFilter
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from ...compat import ArrayField
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STORE = {"events": []}
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@pytest.fixture
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def Event():
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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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return Event
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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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tag_ids = ArrayField(models.IntegerField())
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random_field = ArrayField(models.BooleanField())
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@pytest.fixture
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def EventFilterSet(Event):
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from django.contrib.postgres.forms import SimpleArrayField
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class ArrayFilter(filters.Filter):
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base_field_class = SimpleArrayField
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def EventFilterSet():
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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"],
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"name": ["exact", "contains"],
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}
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# Those are actually usable with our Query fixture bellow
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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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# Those are actually not usable and only to check type declarations
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tags_ids__contains = ArrayFilter(field_name="tag_ids", lookup_expr="contains")
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tags_ids__overlap = ArrayFilter(field_name="tag_ids", lookup_expr="overlap")
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tags_ids = ArrayFilter(field_name="tag_ids", lookup_expr="exact")
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random_field__contains = ArrayFilter(
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field_name="random_field", lookup_expr="contains"
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)
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random_field__overlap = ArrayFilter(
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field_name="random_field", lookup_expr="overlap"
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)
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random_field = ArrayFilter(field_name="random_field", lookup_expr="exact")
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return EventFilterSet
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@pytest.fixture
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def EventType(Event, EventFilterSet):
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def EventType(EventFilterSet):
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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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return EventType
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@pytest.fixture
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def Query(Event, EventType):
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def Query(EventType):
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"""
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Note that we have to use a custom resolver to replicate the arrayfield filter behavior as
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we are running unit tests in sqlite which does not have ArrayFields.
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"""
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class Query(graphene.ObjectType):
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events = DjangoFilterConnectionField(EventType)
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Event(name="Live Show", tags=["concert", "music", "rock"],),
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Event(name="Musical", tags=["movie", "music"],),
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Event(name="Ballet", tags=["concert", "dance"],),
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Event(name="Speech", tags=[],),
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]
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STORE["events"] = events
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STORE["events"],
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)
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)
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if "tags__exact" in kwargs:
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STORE["events"] = list(
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filter(
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lambda e: set(kwargs["tags__exact"]) == set(e.tags),
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STORE["events"],
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)
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)
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def mock_queryset_filter(*args, **kwargs):
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filter_events(**kwargs)
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m_queryset.filter.side_effect = mock_queryset_filter
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m_queryset.none.side_effect = mock_queryset_none
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m_queryset.count.side_effect = mock_queryset_count
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m_queryset.__getitem__.side_effect = STORE["events"].__getitem__
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m_queryset.__getitem__.side_effect = lambda index: STORE[
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"events"
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].__getitem__(index)
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return m_queryset
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@ -10,7 +10,7 @@ class ArticleFilter(django_filters.FilterSet):
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fields = {
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"headline": ["exact", "icontains"],
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"pub_date": ["gt", "lt", "exact"],
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"reporter": ["exact"],
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"reporter": ["exact", "in"],
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}
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order_by = OrderingFilter(fields=("pub_date",))
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@ -6,9 +6,9 @@ from ...compat import ArrayField, MissingType
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@pytest.mark.skipif(ArrayField is MissingType, reason="ArrayField should exist")
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def test_string_contains_multiple(Query):
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def test_array_field_contains_multiple(Query):
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"""
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Test contains filter on a string field.
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Test contains filter on a array field of string.
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"""
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schema = Schema(query=Query)
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@ -32,9 +32,9 @@ def test_string_contains_multiple(Query):
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@pytest.mark.skipif(ArrayField is MissingType, reason="ArrayField should exist")
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def test_string_contains_one(Query):
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def test_array_field_contains_one(Query):
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"""
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Test contains filter on a string field.
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Test contains filter on a array field of string.
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"""
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schema = Schema(query=Query)
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@pytest.mark.skipif(ArrayField is MissingType, reason="ArrayField should exist")
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def test_string_contains_none(Query):
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def test_array_field_contains_empty_list(Query):
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"""
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Test contains filter on a string field.
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Test contains filter on a array field of string.
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"""
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schema = Schema(query=Query)
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@ -79,4 +79,9 @@ def test_string_contains_none(Query):
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"""
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result = schema.execute(query)
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assert not result.errors
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assert result.data["events"]["edges"] == []
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assert result.data["events"]["edges"] == [
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{"node": {"name": "Live Show"}},
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{"node": {"name": "Musical"}},
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{"node": {"name": "Ballet"}},
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{"node": {"name": "Speech"}},
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]
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129
graphene_django/filter/tests/test_array_field_exact_filter.py
Normal file
129
graphene_django/filter/tests/test_array_field_exact_filter.py
Normal file
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import pytest
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from graphene import Schema
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from ...compat import ArrayField, MissingType
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@pytest.mark.skipif(ArrayField is MissingType, reason="ArrayField should exist")
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def test_array_field_exact_no_match(Query):
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"""
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Test exact filter on a array field of string.
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"""
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schema = Schema(query=Query)
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query = """
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query {
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events (tags: ["concert", "music"]) {
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edges {
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node {
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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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"""
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result = schema.execute(query)
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assert not result.errors
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assert result.data["events"]["edges"] == []
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@pytest.mark.skipif(ArrayField is MissingType, reason="ArrayField should exist")
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def test_array_field_exact_match(Query):
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"""
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Test exact filter on a array field of string.
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"""
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schema = Schema(query=Query)
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query = """
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query {
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events (tags: ["movie", "music"]) {
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edges {
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node {
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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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"""
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result = schema.execute(query)
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assert not result.errors
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assert result.data["events"]["edges"] == [
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{"node": {"name": "Musical"}},
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]
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@pytest.mark.skipif(ArrayField is MissingType, reason="ArrayField should exist")
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def test_array_field_exact_empty_list(Query):
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"""
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Test exact filter on a array field of string.
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"""
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schema = Schema(query=Query)
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query = """
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query {
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events (tags: []) {
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edges {
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node {
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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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"""
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result = schema.execute(query)
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assert not result.errors
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assert result.data["events"]["edges"] == [
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{"node": {"name": "Speech"}},
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]
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def test_array_field_filter_schema_type(Query):
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"""
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Check that the type in the filter is an array field like on the object type.
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"""
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schema = Schema(query=Query)
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schema_str = str(schema)
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assert (
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'''type EventType implements Node {
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"""The ID of the object"""
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id: ID!
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name: String!
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tags: [String!]!
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tagIds: [Int!]!
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randomField: [Boolean!]!
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}'''
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in schema_str
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)
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filters = {
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"offset": "Int",
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"before": "String",
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"after": "String",
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"first": "Int",
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"last": "Int",
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"name": "String",
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"name_Contains": "String",
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"tags_Contains": "[String!]",
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"tags_Overlap": "[String!]",
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"tags": "[String!]",
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"tagsIds_Contains": "[Int!]",
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"tagsIds_Overlap": "[Int!]",
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"tagsIds": "[Int!]",
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"randomField_Contains": "[Boolean!]",
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"randomField_Overlap": "[Boolean!]",
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"randomField": "[Boolean!]",
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}
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filters_str = ", ".join(
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[
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f"{filter_field}: {gql_type} = null"
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for filter_field, gql_type in filters.items()
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]
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)
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assert (
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f"type Query {{\n events({filters_str}): EventTypeConnection\n}}" in schema_str
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)
|
|
@ -6,9 +6,9 @@ from ...compat import ArrayField, MissingType
|
|||
|
||||
|
||||
@pytest.mark.skipif(ArrayField is MissingType, reason="ArrayField should exist")
|
||||
def test_string_overlap_multiple(Query):
|
||||
def test_array_field_overlap_multiple(Query):
|
||||
"""
|
||||
Test overlap filter on a string field.
|
||||
Test overlap filter on a array field of string.
|
||||
"""
|
||||
|
||||
schema = Schema(query=Query)
|
||||
|
@ -34,9 +34,9 @@ def test_string_overlap_multiple(Query):
|
|||
|
||||
|
||||
@pytest.mark.skipif(ArrayField is MissingType, reason="ArrayField should exist")
|
||||
def test_string_overlap_one(Query):
|
||||
def test_array_field_overlap_one(Query):
|
||||
"""
|
||||
Test overlap filter on a string field.
|
||||
Test overlap filter on a array field of string.
|
||||
"""
|
||||
|
||||
schema = Schema(query=Query)
|
||||
|
@ -61,9 +61,9 @@ def test_string_overlap_one(Query):
|
|||
|
||||
|
||||
@pytest.mark.skipif(ArrayField is MissingType, reason="ArrayField should exist")
|
||||
def test_string_overlap_none(Query):
|
||||
def test_array_field_overlap_empty_list(Query):
|
||||
"""
|
||||
Test overlap filter on a string field.
|
||||
Test overlap filter on a array field of string.
|
||||
"""
|
||||
|
||||
schema = Schema(query=Query)
|
160
graphene_django/filter/tests/test_enum_filtering.py
Normal file
160
graphene_django/filter/tests/test_enum_filtering.py
Normal file
|
@ -0,0 +1,160 @@
|
|||
import pytest
|
||||
|
||||
import graphene
|
||||
from graphene.relay import Node
|
||||
|
||||
from graphene_django import DjangoObjectType, DjangoConnectionField
|
||||
from graphene_django.tests.models import Article, Reporter
|
||||
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"
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def schema():
|
||||
class ReporterType(DjangoObjectType):
|
||||
class Meta:
|
||||
model = Reporter
|
||||
interfaces = (Node,)
|
||||
fields = "__all__"
|
||||
|
||||
class ArticleType(DjangoObjectType):
|
||||
class Meta:
|
||||
model = Article
|
||||
interfaces = (Node,)
|
||||
fields = "__all__"
|
||||
filter_fields = {
|
||||
"lang": ["exact", "in"],
|
||||
"reporter__a_choice": ["exact", "in"],
|
||||
}
|
||||
|
||||
class Query(graphene.ObjectType):
|
||||
all_reporters = DjangoConnectionField(ReporterType)
|
||||
all_articles = DjangoFilterConnectionField(ArticleType)
|
||||
|
||||
schema = graphene.Schema(query=Query)
|
||||
return schema
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def reporter_article_data():
|
||||
john = Reporter.objects.create(
|
||||
first_name="John", last_name="Doe", email="johndoe@example.com", a_choice=1
|
||||
)
|
||||
jane = Reporter.objects.create(
|
||||
first_name="Jane", last_name="Doe", email="janedoe@example.com", a_choice=2
|
||||
)
|
||||
Article.objects.create(
|
||||
headline="Article Node 1", reporter=john, editor=john, lang="es",
|
||||
)
|
||||
Article.objects.create(
|
||||
headline="Article Node 2", reporter=john, editor=john, lang="en",
|
||||
)
|
||||
Article.objects.create(
|
||||
headline="Article Node 3", reporter=jane, editor=jane, lang="en",
|
||||
)
|
||||
|
||||
|
||||
def test_filter_enum_on_connection(schema, reporter_article_data):
|
||||
"""
|
||||
Check that we can filter with enums on a connection.
|
||||
"""
|
||||
query = """
|
||||
query {
|
||||
allArticles(lang: ES) {
|
||||
edges {
|
||||
node {
|
||||
headline
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
"""
|
||||
|
||||
expected = {"allArticles": {"edges": [{"node": {"headline": "Article Node 1"}},]}}
|
||||
|
||||
result = schema.execute(query)
|
||||
assert not result.errors
|
||||
assert result.data == expected
|
||||
|
||||
|
||||
def test_filter_on_foreign_key_enum_field(schema, reporter_article_data):
|
||||
"""
|
||||
Check that we can filter with enums on a field from a foreign key.
|
||||
"""
|
||||
query = """
|
||||
query {
|
||||
allArticles(reporter_AChoice: A_1) {
|
||||
edges {
|
||||
node {
|
||||
headline
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
"""
|
||||
|
||||
expected = {
|
||||
"allArticles": {
|
||||
"edges": [
|
||||
{"node": {"headline": "Article Node 1"}},
|
||||
{"node": {"headline": "Article Node 2"}},
|
||||
]
|
||||
}
|
||||
}
|
||||
|
||||
result = schema.execute(query)
|
||||
assert not result.errors
|
||||
assert result.data == expected
|
||||
|
||||
|
||||
def test_filter_enum_field_schema_type(schema):
|
||||
"""
|
||||
Check that the type in the filter is an enum like on the object type.
|
||||
"""
|
||||
schema_str = str(schema)
|
||||
|
||||
assert (
|
||||
'''type ArticleType implements Node {
|
||||
"""The ID of the object"""
|
||||
id: ID!
|
||||
headline: String!
|
||||
pubDate: Date!
|
||||
pubDateTime: DateTime!
|
||||
reporter: ReporterType!
|
||||
editor: ReporterType!
|
||||
|
||||
"""Language"""
|
||||
lang: TestsArticleLangChoices!
|
||||
importance: TestsArticleImportanceChoices
|
||||
}'''
|
||||
in schema_str
|
||||
)
|
||||
|
||||
filters = {
|
||||
"offset": "Int",
|
||||
"before": "String",
|
||||
"after": "String",
|
||||
"first": "Int",
|
||||
"last": "Int",
|
||||
"lang": "TestsArticleLangChoices",
|
||||
"lang_In": "[TestsArticleLangChoices]",
|
||||
"reporter_AChoice": "TestsReporterAChoiceChoices",
|
||||
"reporter_AChoice_In": "[TestsReporterAChoiceChoices]",
|
||||
}
|
||||
filters_str = ", ".join(
|
||||
[
|
||||
f"{filter_field}: {gql_type} = null"
|
||||
for filter_field, gql_type in filters.items()
|
||||
]
|
||||
)
|
||||
assert f" allArticles({filters_str}): ArticleTypeConnection\n" in schema_str
|
|
@ -9,7 +9,7 @@ from graphene import Argument, Boolean, Field, Float, ObjectType, Schema, String
|
|||
from graphene.relay import Node
|
||||
from graphene_django import DjangoObjectType
|
||||
from graphene_django.forms import GlobalIDFormField, GlobalIDMultipleChoiceField
|
||||
from graphene_django.tests.models import Article, Pet, Reporter
|
||||
from graphene_django.tests.models import Article, Person, Pet, Reporter
|
||||
from graphene_django.utils import DJANGO_FILTER_INSTALLED
|
||||
|
||||
pytestmark = []
|
||||
|
@ -90,6 +90,7 @@ def test_filter_explicit_filterset_arguments():
|
|||
"pub_date__gt",
|
||||
"pub_date__lt",
|
||||
"reporter",
|
||||
"reporter__in",
|
||||
)
|
||||
|
||||
|
||||
|
@ -696,7 +697,7 @@ def test_should_query_filter_node_limit():
|
|||
node {
|
||||
id
|
||||
firstName
|
||||
articles(lang: "es") {
|
||||
articles(lang: ES) {
|
||||
edges {
|
||||
node {
|
||||
id
|
||||
|
@ -738,6 +739,7 @@ def test_order_by():
|
|||
class Meta:
|
||||
model = Reporter
|
||||
interfaces = (Node,)
|
||||
fields = "__all__"
|
||||
|
||||
class Query(ObjectType):
|
||||
all_reporters = DjangoFilterConnectionField(
|
||||
|
@ -1143,7 +1145,7 @@ def test_filter_filterset_based_on_mixin():
|
|||
|
||||
return filters
|
||||
|
||||
def filter_email_in(cls, queryset, name, value):
|
||||
def filter_email_in(self, queryset, name, value):
|
||||
return queryset.filter(**{name: [value]})
|
||||
|
||||
class NewArticleFilter(ArticleFilterMixin, ArticleFilter):
|
||||
|
@ -1228,3 +1230,48 @@ def test_filter_filterset_based_on_mixin():
|
|||
|
||||
assert not result.errors
|
||||
assert result.data == expected
|
||||
|
||||
|
||||
def test_filter_string_contains():
|
||||
class PersonType(DjangoObjectType):
|
||||
class Meta:
|
||||
model = Person
|
||||
interfaces = (Node,)
|
||||
fields = "__all__"
|
||||
filter_fields = {"name": ["exact", "in", "contains", "icontains"]}
|
||||
|
||||
class Query(ObjectType):
|
||||
people = DjangoFilterConnectionField(PersonType)
|
||||
|
||||
schema = Schema(query=Query)
|
||||
|
||||
Person.objects.bulk_create(
|
||||
[
|
||||
Person(name="Jack"),
|
||||
Person(name="Joe"),
|
||||
Person(name="Jane"),
|
||||
Person(name="Peter"),
|
||||
Person(name="Bob"),
|
||||
]
|
||||
)
|
||||
query = """query nameContain($filter: String) {
|
||||
people(name_Contains: $filter) {
|
||||
edges {
|
||||
node {
|
||||
name
|
||||
}
|
||||
}
|
||||
}
|
||||
}"""
|
||||
|
||||
result = schema.execute(query, variables={"filter": "Ja"})
|
||||
assert not result.errors
|
||||
assert result.data == {
|
||||
"people": {"edges": [{"node": {"name": "Jack"}}, {"node": {"name": "Jane"}},]}
|
||||
}
|
||||
|
||||
result = schema.execute(query, variables={"filter": "o"})
|
||||
assert not result.errors
|
||||
assert result.data == {
|
||||
"people": {"edges": [{"node": {"name": "Joe"}}, {"node": {"name": "Bob"}},]}
|
||||
}
|
||||
|
|
|
@ -1,3 +1,5 @@
|
|||
from datetime import datetime
|
||||
|
||||
import pytest
|
||||
|
||||
from django_filters import FilterSet
|
||||
|
@ -5,7 +7,8 @@ from django_filters import rest_framework as filters
|
|||
from graphene import ObjectType, Schema
|
||||
from graphene.relay import Node
|
||||
from graphene_django import DjangoObjectType
|
||||
from graphene_django.tests.models import Pet, Person
|
||||
from graphene_django.tests.models import Pet, Person, Reporter, Article, Film
|
||||
from graphene_django.filter.tests.filters import ArticleFilter
|
||||
from graphene_django.utils import DJANGO_FILTER_INSTALLED
|
||||
|
||||
pytestmark = []
|
||||
|
@ -20,40 +23,77 @@ else:
|
|||
)
|
||||
|
||||
|
||||
class PetNode(DjangoObjectType):
|
||||
class Meta:
|
||||
model = Pet
|
||||
interfaces = (Node,)
|
||||
filter_fields = {
|
||||
"name": ["exact", "in"],
|
||||
"age": ["exact", "in", "range"],
|
||||
}
|
||||
@pytest.fixture
|
||||
def query():
|
||||
class PetNode(DjangoObjectType):
|
||||
class Meta:
|
||||
model = Pet
|
||||
interfaces = (Node,)
|
||||
fields = "__all__"
|
||||
filter_fields = {
|
||||
"id": ["exact", "in"],
|
||||
"name": ["exact", "in"],
|
||||
"age": ["exact", "in", "range"],
|
||||
}
|
||||
|
||||
class ReporterNode(DjangoObjectType):
|
||||
class Meta:
|
||||
model = Reporter
|
||||
interfaces = (Node,)
|
||||
fields = "__all__"
|
||||
# choice filter using enum
|
||||
filter_fields = {"reporter_type": ["exact", "in"]}
|
||||
|
||||
class ArticleNode(DjangoObjectType):
|
||||
class Meta:
|
||||
model = Article
|
||||
interfaces = (Node,)
|
||||
fields = "__all__"
|
||||
filterset_class = ArticleFilter
|
||||
|
||||
class FilmNode(DjangoObjectType):
|
||||
class Meta:
|
||||
model = Film
|
||||
interfaces = (Node,)
|
||||
fields = "__all__"
|
||||
# choice filter not using enum
|
||||
filter_fields = {
|
||||
"genre": ["exact", "in"],
|
||||
}
|
||||
convert_choices_to_enum = False
|
||||
|
||||
class PersonFilterSet(FilterSet):
|
||||
class Meta:
|
||||
model = Person
|
||||
fields = {"name": ["in"]}
|
||||
|
||||
names = filters.BaseInFilter(method="filter_names")
|
||||
|
||||
def filter_names(self, qs, name, value):
|
||||
"""
|
||||
This custom filter take a string as input with comma separated values.
|
||||
Note that the value here is already a list as it has been transformed by the BaseInFilter class.
|
||||
"""
|
||||
return qs.filter(name__in=value)
|
||||
|
||||
class PersonNode(DjangoObjectType):
|
||||
class Meta:
|
||||
model = Person
|
||||
interfaces = (Node,)
|
||||
filterset_class = PersonFilterSet
|
||||
fields = "__all__"
|
||||
|
||||
class Query(ObjectType):
|
||||
pets = DjangoFilterConnectionField(PetNode)
|
||||
people = DjangoFilterConnectionField(PersonNode)
|
||||
articles = DjangoFilterConnectionField(ArticleNode)
|
||||
films = DjangoFilterConnectionField(FilmNode)
|
||||
reporters = DjangoFilterConnectionField(ReporterNode)
|
||||
|
||||
return Query
|
||||
|
||||
|
||||
class PersonFilterSet(FilterSet):
|
||||
class Meta:
|
||||
model = Person
|
||||
fields = {}
|
||||
|
||||
names = filters.BaseInFilter(method="filter_names")
|
||||
|
||||
def filter_names(self, qs, name, value):
|
||||
return qs.filter(name__in=value)
|
||||
|
||||
|
||||
class PersonNode(DjangoObjectType):
|
||||
class Meta:
|
||||
model = Person
|
||||
interfaces = (Node,)
|
||||
filterset_class = PersonFilterSet
|
||||
|
||||
|
||||
class Query(ObjectType):
|
||||
pets = DjangoFilterConnectionField(PetNode)
|
||||
people = DjangoFilterConnectionField(PersonNode)
|
||||
|
||||
|
||||
def test_string_in_filter():
|
||||
def test_string_in_filter(query):
|
||||
"""
|
||||
Test in filter on a string field.
|
||||
"""
|
||||
|
@ -61,7 +101,7 @@ def test_string_in_filter():
|
|||
Pet.objects.create(name="Mimi", age=3)
|
||||
Pet.objects.create(name="Jojo, the rabbit", age=3)
|
||||
|
||||
schema = Schema(query=Query)
|
||||
schema = Schema(query=query)
|
||||
|
||||
query = """
|
||||
query {
|
||||
|
@ -82,17 +122,19 @@ def test_string_in_filter():
|
|||
]
|
||||
|
||||
|
||||
def test_string_in_filter_with_filterset_class():
|
||||
"""Test in filter on a string field with a custom filterset class."""
|
||||
def test_string_in_filter_with_otjer_filter(query):
|
||||
"""
|
||||
Test in filter on a string field which has also a custom filter doing a similar operation.
|
||||
"""
|
||||
Person.objects.create(name="John")
|
||||
Person.objects.create(name="Michael")
|
||||
Person.objects.create(name="Angela")
|
||||
|
||||
schema = Schema(query=Query)
|
||||
schema = Schema(query=query)
|
||||
|
||||
query = """
|
||||
query {
|
||||
people (names: ["John", "Michael"]) {
|
||||
people (name_In: ["John", "Michael"]) {
|
||||
edges {
|
||||
node {
|
||||
name
|
||||
|
@ -109,7 +151,36 @@ def test_string_in_filter_with_filterset_class():
|
|||
]
|
||||
|
||||
|
||||
def test_int_in_filter():
|
||||
def test_string_in_filter_with_declared_filter(query):
|
||||
"""
|
||||
Test in filter on a string field with a custom filterset class.
|
||||
"""
|
||||
Person.objects.create(name="John")
|
||||
Person.objects.create(name="Michael")
|
||||
Person.objects.create(name="Angela")
|
||||
|
||||
schema = Schema(query=query)
|
||||
|
||||
query = """
|
||||
query {
|
||||
people (names: "John,Michael") {
|
||||
edges {
|
||||
node {
|
||||
name
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
"""
|
||||
result = schema.execute(query)
|
||||
assert not result.errors
|
||||
assert result.data["people"]["edges"] == [
|
||||
{"node": {"name": "John"}},
|
||||
{"node": {"name": "Michael"}},
|
||||
]
|
||||
|
||||
|
||||
def test_int_in_filter(query):
|
||||
"""
|
||||
Test in filter on an integer field.
|
||||
"""
|
||||
|
@ -117,7 +188,7 @@ def test_int_in_filter():
|
|||
Pet.objects.create(name="Mimi", age=3)
|
||||
Pet.objects.create(name="Jojo, the rabbit", age=3)
|
||||
|
||||
schema = Schema(query=Query)
|
||||
schema = Schema(query=query)
|
||||
|
||||
query = """
|
||||
query {
|
||||
|
@ -157,7 +228,7 @@ def test_int_in_filter():
|
|||
]
|
||||
|
||||
|
||||
def test_in_filter_with_empty_list():
|
||||
def test_in_filter_with_empty_list(query):
|
||||
"""
|
||||
Check that using a in filter with an empty list provided as input returns no objects.
|
||||
"""
|
||||
|
@ -165,7 +236,7 @@ def test_in_filter_with_empty_list():
|
|||
Pet.objects.create(name="Mimi", age=8)
|
||||
Pet.objects.create(name="Picotin", age=5)
|
||||
|
||||
schema = Schema(query=Query)
|
||||
schema = Schema(query=query)
|
||||
|
||||
query = """
|
||||
query {
|
||||
|
@ -181,3 +252,197 @@ def test_in_filter_with_empty_list():
|
|||
result = schema.execute(query)
|
||||
assert not result.errors
|
||||
assert len(result.data["pets"]["edges"]) == 0
|
||||
|
||||
|
||||
def test_choice_in_filter_without_enum(query):
|
||||
"""
|
||||
Test in filter o an choice field not using an enum (Film.genre).
|
||||
"""
|
||||
|
||||
john_doe = Reporter.objects.create(
|
||||
first_name="John", last_name="Doe", email="john@doe.com"
|
||||
)
|
||||
jean_bon = Reporter.objects.create(
|
||||
first_name="Jean", last_name="Bon", email="jean@bon.com"
|
||||
)
|
||||
documentary_film = Film.objects.create(genre="do")
|
||||
documentary_film.reporters.add(john_doe)
|
||||
action_film = Film.objects.create(genre="ac")
|
||||
action_film.reporters.add(john_doe)
|
||||
other_film = Film.objects.create(genre="ot")
|
||||
other_film.reporters.add(john_doe)
|
||||
other_film.reporters.add(jean_bon)
|
||||
|
||||
schema = Schema(query=query)
|
||||
|
||||
query = """
|
||||
query {
|
||||
films (genre_In: ["do", "ac"]) {
|
||||
edges {
|
||||
node {
|
||||
genre
|
||||
reporters {
|
||||
edges {
|
||||
node {
|
||||
lastName
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
"""
|
||||
result = schema.execute(query)
|
||||
assert not result.errors
|
||||
assert result.data["films"]["edges"] == [
|
||||
{
|
||||
"node": {
|
||||
"genre": "do",
|
||||
"reporters": {"edges": [{"node": {"lastName": "Doe"}}]},
|
||||
}
|
||||
},
|
||||
{
|
||||
"node": {
|
||||
"genre": "ac",
|
||||
"reporters": {"edges": [{"node": {"lastName": "Doe"}}]},
|
||||
}
|
||||
},
|
||||
]
|
||||
|
||||
|
||||
def test_fk_id_in_filter(query):
|
||||
"""
|
||||
Test in filter on an foreign key relationship.
|
||||
"""
|
||||
john_doe = Reporter.objects.create(
|
||||
first_name="John", last_name="Doe", email="john@doe.com"
|
||||
)
|
||||
jean_bon = Reporter.objects.create(
|
||||
first_name="Jean", last_name="Bon", email="jean@bon.com"
|
||||
)
|
||||
sara_croche = Reporter.objects.create(
|
||||
first_name="Sara", last_name="Croche", email="sara@croche.com"
|
||||
)
|
||||
Article.objects.create(
|
||||
headline="A",
|
||||
pub_date=datetime.now(),
|
||||
pub_date_time=datetime.now(),
|
||||
reporter=john_doe,
|
||||
editor=john_doe,
|
||||
)
|
||||
Article.objects.create(
|
||||
headline="B",
|
||||
pub_date=datetime.now(),
|
||||
pub_date_time=datetime.now(),
|
||||
reporter=jean_bon,
|
||||
editor=jean_bon,
|
||||
)
|
||||
Article.objects.create(
|
||||
headline="C",
|
||||
pub_date=datetime.now(),
|
||||
pub_date_time=datetime.now(),
|
||||
reporter=sara_croche,
|
||||
editor=sara_croche,
|
||||
)
|
||||
|
||||
schema = Schema(query=query)
|
||||
|
||||
query = """
|
||||
query {
|
||||
articles (reporter_In: [%s, %s]) {
|
||||
edges {
|
||||
node {
|
||||
headline
|
||||
reporter {
|
||||
lastName
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
""" % (
|
||||
john_doe.id,
|
||||
jean_bon.id,
|
||||
)
|
||||
result = schema.execute(query)
|
||||
assert not result.errors
|
||||
assert result.data["articles"]["edges"] == [
|
||||
{"node": {"headline": "A", "reporter": {"lastName": "Doe"}}},
|
||||
{"node": {"headline": "B", "reporter": {"lastName": "Bon"}}},
|
||||
]
|
||||
|
||||
|
||||
def test_enum_in_filter(query):
|
||||
"""
|
||||
Test in filter on a choice field using an enum (Reporter.reporter_type).
|
||||
"""
|
||||
|
||||
Reporter.objects.create(
|
||||
first_name="John", last_name="Doe", email="john@doe.com", reporter_type=1
|
||||
)
|
||||
Reporter.objects.create(
|
||||
first_name="Jean", last_name="Bon", email="jean@bon.com", reporter_type=2
|
||||
)
|
||||
Reporter.objects.create(
|
||||
first_name="Jane", last_name="Doe", email="jane@doe.com", reporter_type=2
|
||||
)
|
||||
Reporter.objects.create(
|
||||
first_name="Jack", last_name="Black", email="jack@black.com", reporter_type=None
|
||||
)
|
||||
|
||||
schema = Schema(query=query)
|
||||
|
||||
query = """
|
||||
query {
|
||||
reporters (reporterType_In: [A_1]) {
|
||||
edges {
|
||||
node {
|
||||
email
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
"""
|
||||
result = schema.execute(query)
|
||||
assert not result.errors
|
||||
assert result.data["reporters"]["edges"] == [
|
||||
{"node": {"email": "john@doe.com"}},
|
||||
]
|
||||
|
||||
query = """
|
||||
query {
|
||||
reporters (reporterType_In: [A_2]) {
|
||||
edges {
|
||||
node {
|
||||
email
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
"""
|
||||
result = schema.execute(query)
|
||||
assert not result.errors
|
||||
assert result.data["reporters"]["edges"] == [
|
||||
{"node": {"email": "jean@bon.com"}},
|
||||
{"node": {"email": "jane@doe.com"}},
|
||||
]
|
||||
|
||||
query = """
|
||||
query {
|
||||
reporters (reporterType_In: [A_2, A_1]) {
|
||||
edges {
|
||||
node {
|
||||
email
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
"""
|
||||
result = schema.execute(query)
|
||||
assert not result.errors
|
||||
assert result.data["reporters"]["edges"] == [
|
||||
{"node": {"email": "john@doe.com"}},
|
||||
{"node": {"email": "jean@bon.com"}},
|
||||
{"node": {"email": "jane@doe.com"}},
|
||||
]
|
||||
|
|
|
@ -25,6 +25,7 @@ class PetNode(DjangoObjectType):
|
|||
class Meta:
|
||||
model = Pet
|
||||
interfaces = (Node,)
|
||||
fields = "__all__"
|
||||
filter_fields = {
|
||||
"name": ["exact", "in"],
|
||||
"age": ["exact", "in", "range"],
|
||||
|
|
|
@ -1,53 +1,101 @@
|
|||
import graphene
|
||||
|
||||
from django_filters.utils import get_model_field
|
||||
from django import forms
|
||||
|
||||
from django_filters.utils import get_model_field, get_field_parts
|
||||
from django_filters.filters import Filter, BaseCSVFilter
|
||||
|
||||
from .filterset import custom_filterset_factory, setup_filterset
|
||||
from .filters import InFilter, RangeFilter
|
||||
from .filters import ArrayFilter, ListFilter, RangeFilter
|
||||
from ..forms import GlobalIDFormField, GlobalIDMultipleChoiceField
|
||||
|
||||
|
||||
def get_field_type(registry, model, field_name):
|
||||
"""
|
||||
Try to get a model field corresponding Graphql type from the DjangoObjectType.
|
||||
"""
|
||||
object_type = registry.get_type_for_model(model)
|
||||
if object_type:
|
||||
object_type_field = object_type._meta.fields.get(field_name)
|
||||
if object_type_field:
|
||||
field_type = object_type_field.type
|
||||
if isinstance(field_type, graphene.NonNull):
|
||||
field_type = field_type.of_type
|
||||
return field_type
|
||||
return None
|
||||
|
||||
|
||||
def get_filtering_args_from_filterset(filterset_class, type):
|
||||
""" Inspect a FilterSet and produce the arguments to pass to
|
||||
a Graphene Field. These arguments will be available to
|
||||
filter against in the GraphQL
|
||||
"""
|
||||
Inspect a FilterSet and produce the arguments to pass to a Graphene Field.
|
||||
These arguments will be available to filter against in the GraphQL API.
|
||||
"""
|
||||
from ..forms.converter import convert_form_field
|
||||
|
||||
args = {}
|
||||
model = filterset_class._meta.model
|
||||
registry = type._meta.registry
|
||||
for name, filter_field in filterset_class.base_filters.items():
|
||||
form_field = None
|
||||
filter_type = filter_field.lookup_expr
|
||||
field_type = None
|
||||
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)
|
||||
if filter_type != "isnull" and hasattr(model_field, "formfield"):
|
||||
form_field = model_field.formfield(
|
||||
required=filter_field.extra.get("required", False)
|
||||
)
|
||||
if (
|
||||
name not in filterset_class.declared_filters
|
||||
or isinstance(filter_field, ListFilter)
|
||||
or isinstance(filter_field, RangeFilter)
|
||||
or isinstance(filter_field, ArrayFilter)
|
||||
):
|
||||
# Get the filter field for filters that are no explicitly declared.
|
||||
|
||||
# Fallback to field defined on filter if we can't get it from the
|
||||
# model field
|
||||
if not form_field:
|
||||
form_field = filter_field.field
|
||||
required = filter_field.extra.get("required", False)
|
||||
if filter_type == "isnull":
|
||||
field = graphene.Boolean(required=required)
|
||||
else:
|
||||
model_field = get_model_field(model, filter_field.field_name)
|
||||
|
||||
field = convert_form_field(form_field)
|
||||
# Get the form field either from:
|
||||
# 1. the formfield corresponding to the model field
|
||||
# 2. the field defined on filter
|
||||
if hasattr(model_field, "formfield"):
|
||||
form_field = model_field.formfield(required=required)
|
||||
if not form_field:
|
||||
form_field = filter_field.field
|
||||
|
||||
if filter_type in {"in", "range", "contains", "overlap"}:
|
||||
# Replace CSV filters (`in`, `range`, `contains`, `overlap`) argument type to be a list of
|
||||
# the same type as the field. See comments in
|
||||
# `replace_csv_filters` method for more details.
|
||||
field = graphene.List(field.get_type())
|
||||
# First try to get the matching field type from the GraphQL DjangoObjectType
|
||||
if model_field:
|
||||
if (
|
||||
isinstance(form_field, forms.ModelChoiceField)
|
||||
or isinstance(form_field, forms.ModelMultipleChoiceField)
|
||||
or isinstance(form_field, GlobalIDMultipleChoiceField)
|
||||
or isinstance(form_field, GlobalIDFormField)
|
||||
):
|
||||
# Foreign key have dynamic types and filtering on a foreign key actually means filtering on its ID.
|
||||
field_type = get_field_type(
|
||||
registry, model_field.related_model, "id"
|
||||
)
|
||||
else:
|
||||
field_type = get_field_type(
|
||||
registry, model_field.model, model_field.name
|
||||
)
|
||||
|
||||
field_type = field.Argument()
|
||||
field_type.description = str(filter_field.label) if filter_field.label else None
|
||||
args[name] = field_type
|
||||
if not field_type:
|
||||
# Fallback on converting the form field either because:
|
||||
# - it's an explicitly declared filters
|
||||
# - we did not manage to get the type from the model type
|
||||
form_field = form_field or filter_field.field
|
||||
field_type = convert_form_field(form_field)
|
||||
|
||||
if isinstance(filter_field, ListFilter) or isinstance(
|
||||
filter_field, RangeFilter
|
||||
):
|
||||
# Replace InFilter/RangeFilter 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_type = graphene.List(field_type.get_type())
|
||||
|
||||
args[name] = graphene.Argument(
|
||||
field_type.get_type(), description=filter_field.label, required=required,
|
||||
)
|
||||
|
||||
return args
|
||||
|
||||
|
@ -69,18 +117,26 @@ def get_filterset_class(filterset_class, **meta):
|
|||
|
||||
def replace_csv_filters(filterset_class):
|
||||
"""
|
||||
Replace the "in", "contains", "overlap" 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.
|
||||
Replace the "in" and "range" filters (that are not explicitly declared)
|
||||
to not be BaseCSVFilter (BaseInFilter, BaseRangeFilter) objects anymore
|
||||
but our custom InFilter/RangeFilter filter class that 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.
|
||||
This is because those BaseCSVFilter are expecting a string as input with
|
||||
comma separated values.
|
||||
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 list(filterset_class.base_filters.items()):
|
||||
# Do not touch any declared filters
|
||||
if name in filterset_class.declared_filters:
|
||||
continue
|
||||
|
||||
filter_type = filter_field.lookup_expr
|
||||
if filter_type in {"in", "contains", "overlap"}:
|
||||
filterset_class.base_filters[name] = InFilter(
|
||||
if filter_type == "in":
|
||||
filterset_class.base_filters[name] = ListFilter(
|
||||
field_name=filter_field.field_name,
|
||||
lookup_expr=filter_field.lookup_expr,
|
||||
label=filter_field.label,
|
||||
|
@ -88,7 +144,6 @@ def replace_csv_filters(filterset_class):
|
|||
exclude=filter_field.exclude,
|
||||
**filter_field.extra
|
||||
)
|
||||
|
||||
elif filter_type == "range":
|
||||
filterset_class.base_filters[name] = RangeFilter(
|
||||
field_name=filter_field.field_name,
|
||||
|
|
|
@ -26,7 +26,7 @@ class Film(models.Model):
|
|||
genre = models.CharField(
|
||||
max_length=2,
|
||||
help_text="Genre",
|
||||
choices=[("do", "Documentary"), ("ot", "Other")],
|
||||
choices=[("do", "Documentary"), ("ac", "Action"), ("ot", "Other")],
|
||||
default="ot",
|
||||
)
|
||||
reporters = models.ManyToManyField("Reporter", related_name="films")
|
||||
|
@ -91,8 +91,8 @@ class CNNReporter(Reporter):
|
|||
|
||||
class Article(models.Model):
|
||||
headline = models.CharField(max_length=100)
|
||||
pub_date = models.DateField()
|
||||
pub_date_time = models.DateTimeField()
|
||||
pub_date = models.DateField(auto_now_add=True)
|
||||
pub_date_time = models.DateTimeField(auto_now_add=True)
|
||||
reporter = models.ForeignKey(
|
||||
Reporter, on_delete=models.CASCADE, related_name="articles"
|
||||
)
|
||||
|
|
|
@ -421,6 +421,7 @@ def test_should_query_node_filtering():
|
|||
interfaces = (Node,)
|
||||
fields = "__all__"
|
||||
filter_fields = ("lang",)
|
||||
convert_choices_to_enum = False
|
||||
|
||||
class Query(graphene.ObjectType):
|
||||
all_reporters = DjangoConnectionField(ReporterType)
|
||||
|
@ -546,6 +547,7 @@ def test_should_query_node_multiple_filtering():
|
|||
interfaces = (Node,)
|
||||
fields = "__all__"
|
||||
filter_fields = ("lang", "headline")
|
||||
convert_choices_to_enum = False
|
||||
|
||||
class Query(graphene.ObjectType):
|
||||
all_reporters = DjangoConnectionField(ReporterType)
|
||||
|
@ -1251,6 +1253,7 @@ class TestBackwardPagination:
|
|||
class Meta:
|
||||
model = Reporter
|
||||
interfaces = (Node,)
|
||||
fields = "__all__"
|
||||
|
||||
class Query(graphene.ObjectType):
|
||||
all_reporters = DjangoConnectionField(ReporterType)
|
||||
|
@ -1455,6 +1458,7 @@ def test_connection_should_enable_offset_filtering():
|
|||
class Meta:
|
||||
model = Reporter
|
||||
interfaces = (Node,)
|
||||
fields = "__all__"
|
||||
|
||||
class Query(graphene.ObjectType):
|
||||
all_reporters = DjangoConnectionField(ReporterType)
|
||||
|
@ -1494,6 +1498,7 @@ def test_connection_should_enable_offset_filtering_higher_than_max_limit(
|
|||
class Meta:
|
||||
model = Reporter
|
||||
interfaces = (Node,)
|
||||
fields = "__all__"
|
||||
|
||||
class Query(graphene.ObjectType):
|
||||
all_reporters = DjangoConnectionField(ReporterType)
|
||||
|
@ -1527,6 +1532,7 @@ def test_connection_should_forbid_offset_filtering_with_before():
|
|||
class Meta:
|
||||
model = Reporter
|
||||
interfaces = (Node,)
|
||||
fields = "__all__"
|
||||
|
||||
class Query(graphene.ObjectType):
|
||||
all_reporters = DjangoConnectionField(ReporterType)
|
||||
|
@ -1561,6 +1567,7 @@ def test_connection_should_allow_offset_filtering_with_after():
|
|||
class Meta:
|
||||
model = Reporter
|
||||
interfaces = (Node,)
|
||||
fields = "__all__"
|
||||
|
||||
class Query(graphene.ObjectType):
|
||||
all_reporters = DjangoConnectionField(ReporterType)
|
||||
|
|
|
@ -671,6 +671,7 @@ def test_django_objecttype_name_connection_propagation():
|
|||
class Meta:
|
||||
model = ReporterModel
|
||||
name = "CustomReporterName"
|
||||
fields = "__all__"
|
||||
filter_fields = ["email"]
|
||||
interfaces = (Node,)
|
||||
|
||||
|
|
Loading…
Reference in New Issue
Block a user