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105 lines
3.6 KiB
Python
105 lines
3.6 KiB
Python
from __future__ import unicode_literals
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from django.db import models
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from django.test import TestCase
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from rest_framework import generics, serializers, status
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from rest_framework.test import APIRequestFactory
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factory = APIRequestFactory()
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# Regression for #666
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class ValidationModel(models.Model):
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blank_validated_field = models.CharField(max_length=255)
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class ValidationModelSerializer(serializers.ModelSerializer):
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class Meta:
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model = ValidationModel
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fields = ('blank_validated_field',)
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read_only_fields = ('blank_validated_field',)
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class UpdateValidationModel(generics.RetrieveUpdateDestroyAPIView):
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model = ValidationModel
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serializer_class = ValidationModelSerializer
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class TestPreSaveValidationExclusions(TestCase):
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def test_pre_save_validation_exclusions(self):
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"""
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Somewhat weird test case to ensure that we don't perform model
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validation on read only fields.
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"""
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obj = ValidationModel.objects.create(blank_validated_field='')
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request = factory.put('/', {}, format='json')
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view = UpdateValidationModel().as_view()
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response = view(request, pk=obj.pk).render()
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self.assertEqual(response.status_code, status.HTTP_200_OK)
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# Regression for #653
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class ShouldValidateModel(models.Model):
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should_validate_field = models.CharField(max_length=255)
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class ShouldValidateModelSerializer(serializers.ModelSerializer):
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renamed = serializers.CharField(source='should_validate_field', required=False)
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def validate_renamed(self, attrs, source):
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value = attrs[source]
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if len(value) < 3:
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raise serializers.ValidationError('Minimum 3 characters.')
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return attrs
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class Meta:
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model = ShouldValidateModel
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fields = ('renamed',)
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class TestPreSaveValidationExclusionsSerializer(TestCase):
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def test_renamed_fields_are_model_validated(self):
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"""
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Ensure fields with 'source' applied do get still get model validation.
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"""
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# We've set `required=False` on the serializer, but the model
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# does not have `blank=True`, so this serializer should not validate.
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serializer = ShouldValidateModelSerializer(data={'renamed': ''})
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self.assertEqual(serializer.is_valid(), False)
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self.assertIn('renamed', serializer.errors)
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self.assertNotIn('should_validate_field', serializer.errors)
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class TestCustomValidationMethods(TestCase):
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def test_custom_validation_method_is_executed(self):
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serializer = ShouldValidateModelSerializer(data={'renamed': 'fo'})
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self.assertFalse(serializer.is_valid())
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self.assertIn('renamed', serializer.errors)
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def test_custom_validation_method_passing(self):
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serializer = ShouldValidateModelSerializer(data={'renamed': 'foo'})
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self.assertTrue(serializer.is_valid())
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class ValidationSerializer(serializers.Serializer):
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foo = serializers.CharField()
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def validate_foo(self, attrs, source):
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raise serializers.ValidationError("foo invalid")
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def validate(self, attrs):
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raise serializers.ValidationError("serializer invalid")
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class TestAvoidValidation(TestCase):
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"""
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If serializer was initialized with invalid data (None or non dict-like), it
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should avoid validation layer (validate_<field> and validate methods)
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"""
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def test_serializer_errors_has_only_invalid_data_error(self):
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serializer = ValidationSerializer(data='invalid data')
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self.assertFalse(serializer.is_valid())
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self.assertDictEqual(serializer.errors,
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{'non_field_errors': ['Invalid data']})
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