def test_optional_filter_params(self):
"""Min and max are optional"""
del self.internal_filter['max']
del self.external_filter['max']
# Serialize
result = serializers.FilterSerializer(self.internal_filter).data
self.assertDictEqual(result, self.external_filter)
# Deserialize
serializer = serializers.FilterSerializer(data=self.external_filter)
self.assertTrue(serializer.is_valid())
self.assertDictEqual(serializer.validated_data, self.internal_filter)
def setUp(self):
self.dimension = dimensions.get_dimension('time')
self.dataset = corpus_models.Dataset.objects.create(
name="test dataset", description='description')
internal_filter = {
'dimension': self.dimension,
'min_time': now(),
'max_time': now() + timedelta(minutes=5),
}
serialized_filter = serializers.FilterSerializer(internal_filter).data
self.serialized_representation = {
'dataset': self.dataset.id,
'dimensions': [self.dimension.key],
'filters': [serialized_filter],
}
# Should lookup exactly the same dimension
self.deserialized_representation = {
'dataset': self.dataset,
'dimensions': [self.dimension],
'filters': [internal_filter],
}
def test_categorical_filter_deserialization(self):
"""Deserialization of an include list"""
serializer = serializers.FilterSerializer(data=self.external_filter)
self.assertTrue(serializer.is_valid())
self.assertDictEqual(serializer.validated_data, self.internal_filter)
def test_categorical_filter_serialization(self):
"""Serialization of an include list"""
result = serializers.FilterSerializer(self.internal_filter).data
self.assertDictEqual(result, self.external_filter)
def test_time_filter_deserialization(self):
"""Deserialization of min and max filters"""
serializer = serializers.FilterSerializer(data=self.external_filter)
self.assertTrue(serializer.is_valid())
self.assertDictEqual(serializer.validated_data, self.internal_filter)
def test_time_filter_serialization(self):
"""Serialization of min and max filters"""
result = serializers.FilterSerializer(self.internal_filter).data
self.assertDictEqual(result, self.external_filter)
