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298 lines
10 KiB
Python
298 lines
10 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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from .utils import MockObject
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from rest_framework import serializers
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from rest_framework.compat import unicode_repr
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import pickle
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import pytest
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# Tests for core functionality.
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# -----------------------------
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class TestSerializer:
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def setup(self):
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class ExampleSerializer(serializers.Serializer):
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char = serializers.CharField()
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integer = serializers.IntegerField()
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self.Serializer = ExampleSerializer
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def test_valid_serializer(self):
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serializer = self.Serializer(data={'char': 'abc', 'integer': 123})
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assert serializer.is_valid()
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assert serializer.validated_data == {'char': 'abc', 'integer': 123}
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assert serializer.errors == {}
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def test_invalid_serializer(self):
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serializer = self.Serializer(data={'char': 'abc'})
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assert not serializer.is_valid()
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assert serializer.validated_data == {}
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assert serializer.errors == {'integer': ['This field is required.']}
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def test_partial_validation(self):
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serializer = self.Serializer(data={'char': 'abc'}, partial=True)
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assert serializer.is_valid()
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assert serializer.validated_data == {'char': 'abc'}
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assert serializer.errors == {}
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def test_empty_serializer(self):
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serializer = self.Serializer()
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assert serializer.data == {'char': '', 'integer': None}
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def test_missing_attribute_during_serialization(self):
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class MissingAttributes:
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pass
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instance = MissingAttributes()
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serializer = self.Serializer(instance)
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with pytest.raises(AttributeError):
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serializer.data
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class TestValidateMethod:
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def test_non_field_error_validate_method(self):
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class ExampleSerializer(serializers.Serializer):
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char = serializers.CharField()
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integer = serializers.IntegerField()
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def validate(self, attrs):
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raise serializers.ValidationError('Non field error')
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serializer = ExampleSerializer(data={'char': 'abc', 'integer': 123})
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assert not serializer.is_valid()
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assert serializer.errors == {'non_field_errors': ['Non field error']}
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def test_field_error_validate_method(self):
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class ExampleSerializer(serializers.Serializer):
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char = serializers.CharField()
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integer = serializers.IntegerField()
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def validate(self, attrs):
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raise serializers.ValidationError({'char': 'Field error'})
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serializer = ExampleSerializer(data={'char': 'abc', 'integer': 123})
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assert not serializer.is_valid()
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assert serializer.errors == {'char': ['Field error']}
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class TestBaseSerializer:
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def setup(self):
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class ExampleSerializer(serializers.BaseSerializer):
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def to_representation(self, obj):
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return {
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'id': obj['id'],
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'email': obj['name'] + '@' + obj['domain']
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}
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def to_internal_value(self, data):
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name, domain = str(data['email']).split('@')
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return {
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'id': int(data['id']),
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'name': name,
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'domain': domain,
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}
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self.Serializer = ExampleSerializer
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def test_serialize_instance(self):
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instance = {'id': 1, 'name': 'tom', 'domain': 'example.com'}
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serializer = self.Serializer(instance)
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assert serializer.data == {'id': 1, 'email': 'tom@example.com'}
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def test_serialize_list(self):
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instances = [
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{'id': 1, 'name': 'tom', 'domain': 'example.com'},
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{'id': 2, 'name': 'ann', 'domain': 'example.com'},
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]
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serializer = self.Serializer(instances, many=True)
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assert serializer.data == [
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{'id': 1, 'email': 'tom@example.com'},
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{'id': 2, 'email': 'ann@example.com'}
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]
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def test_validate_data(self):
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data = {'id': 1, 'email': 'tom@example.com'}
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serializer = self.Serializer(data=data)
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assert serializer.is_valid()
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assert serializer.validated_data == {
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'id': 1,
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'name': 'tom',
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'domain': 'example.com'
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}
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def test_validate_list(self):
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data = [
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{'id': 1, 'email': 'tom@example.com'},
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{'id': 2, 'email': 'ann@example.com'},
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]
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serializer = self.Serializer(data=data, many=True)
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assert serializer.is_valid()
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assert serializer.validated_data == [
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{'id': 1, 'name': 'tom', 'domain': 'example.com'},
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{'id': 2, 'name': 'ann', 'domain': 'example.com'}
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]
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class TestStarredSource:
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"""
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Tests for `source='*'` argument, which is used for nested representations.
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For example:
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nested_field = NestedField(source='*')
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"""
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data = {
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'nested1': {'a': 1, 'b': 2},
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'nested2': {'c': 3, 'd': 4}
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}
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def setup(self):
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class NestedSerializer1(serializers.Serializer):
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a = serializers.IntegerField()
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b = serializers.IntegerField()
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class NestedSerializer2(serializers.Serializer):
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c = serializers.IntegerField()
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d = serializers.IntegerField()
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class TestSerializer(serializers.Serializer):
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nested1 = NestedSerializer1(source='*')
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nested2 = NestedSerializer2(source='*')
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self.Serializer = TestSerializer
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def test_nested_validate(self):
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"""
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A nested representation is validated into a flat internal object.
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"""
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serializer = self.Serializer(data=self.data)
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assert serializer.is_valid()
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assert serializer.validated_data == {
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'a': 1,
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'b': 2,
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'c': 3,
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'd': 4
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}
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def test_nested_serialize(self):
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"""
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An object can be serialized into a nested representation.
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"""
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instance = {'a': 1, 'b': 2, 'c': 3, 'd': 4}
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serializer = self.Serializer(instance)
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assert serializer.data == self.data
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class TestIncorrectlyConfigured:
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def test_incorrect_field_name(self):
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class ExampleSerializer(serializers.Serializer):
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incorrect_name = serializers.IntegerField()
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class ExampleObject:
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def __init__(self):
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self.correct_name = 123
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instance = ExampleObject()
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serializer = ExampleSerializer(instance)
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with pytest.raises(AttributeError) as exc_info:
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serializer.data
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msg = str(exc_info.value)
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assert msg.startswith(
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"Got AttributeError when attempting to get a value for field `incorrect_name` on serializer `ExampleSerializer`.\n"
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"The serializer field might be named incorrectly and not match any attribute or key on the `ExampleObject` instance.\n"
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"Original exception text was:"
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)
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class TestUnicodeRepr:
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def test_unicode_repr(self):
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class ExampleSerializer(serializers.Serializer):
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example = serializers.CharField()
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class ExampleObject:
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def __init__(self):
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self.example = '한국'
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def __repr__(self):
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return unicode_repr(self.example)
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instance = ExampleObject()
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serializer = ExampleSerializer(instance)
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repr(serializer) # Should not error.
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class TestNotRequiredOutput:
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def test_not_required_output_for_dict(self):
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"""
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'required=False' should allow a dictionary key to be missing in output.
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"""
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class ExampleSerializer(serializers.Serializer):
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omitted = serializers.CharField(required=False)
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included = serializers.CharField()
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serializer = ExampleSerializer(data={'included': 'abc'})
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serializer.is_valid()
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assert serializer.data == {'included': 'abc'}
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def test_not_required_output_for_object(self):
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"""
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'required=False' should allow an object attribute to be missing in output.
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"""
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class ExampleSerializer(serializers.Serializer):
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omitted = serializers.CharField(required=False)
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included = serializers.CharField()
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def create(self, validated_data):
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return MockObject(**validated_data)
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serializer = ExampleSerializer(data={'included': 'abc'})
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serializer.is_valid()
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serializer.save()
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assert serializer.data == {'included': 'abc'}
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def test_default_required_output_for_dict(self):
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"""
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'default="something"' should require dictionary key.
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We need to handle this as the field will have an implicit
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'required=False', but it should still have a value.
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"""
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class ExampleSerializer(serializers.Serializer):
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omitted = serializers.CharField(default='abc')
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included = serializers.CharField()
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serializer = ExampleSerializer({'included': 'abc'})
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with pytest.raises(KeyError):
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serializer.data
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def test_default_required_output_for_object(self):
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"""
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'default="something"' should require object attribute.
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We need to handle this as the field will have an implicit
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'required=False', but it should still have a value.
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"""
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class ExampleSerializer(serializers.Serializer):
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omitted = serializers.CharField(default='abc')
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included = serializers.CharField()
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instance = MockObject(included='abc')
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serializer = ExampleSerializer(instance)
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with pytest.raises(AttributeError):
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serializer.data
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class TestCacheSerializerData:
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def test_cache_serializer_data(self):
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"""
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Caching serializer data with pickle will drop the serializer info,
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but does preserve the data itself.
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"""
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class ExampleSerializer(serializers.Serializer):
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field1 = serializers.CharField()
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field2 = serializers.CharField()
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serializer = ExampleSerializer({'field1': 'a', 'field2': 'b'})
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pickled = pickle.dumps(serializer.data)
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data = pickle.loads(pickled)
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assert data == {'field1': 'a', 'field2': 'b'}
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