class MicrobenchmarkRestFactory(Factory):
class Meta:
model = MicrobenchmarkRest
metadata = generate_dict_factory(MetadataFactory)()
timestamp = Faker('date_time')
test_suite = Faker('word')
test_name = Faker('word')
parameters = generate_dict_factory(MicrobenchmarkParametersFactory)()
metrics = generate_dict_factory(MicrobenchmarkMetricsFactory)()
class OLTPBenchRestFactory(Factory):
class Meta:
model = OLTPBenchRest
metadata = generate_dict_factory(MetadataFactory)()
timestamp = Faker('date_time')
type = Faker('word')
parameters = generate_dict_factory(OLTPBenchParametersFactory)()
metrics = generate_dict_factory(OLTPBenchMetricsFactory)()
def test_deserialize_model_fields(self):
for test_name, class_factory, class_serializer, excluded_fields in self.serializer_test_params:
with self.subTest(msg="Deserialization with {} is valid".format(test_name)):
ClassDictFactory = generate_dict_factory(class_factory)
input = ClassDictFactory()
serializer = class_serializer(data=input)
self.assertTrue(serializer.is_valid(), msg=serializer.errors)
def test_201_response(self):
"""
Ensure that a valid request sends back a 201
"""
ClassDictFactory = generate_dict_factory(ArtifactStatsRestFactory)
input = ClassDictFactory()
self.client.credentials(HTTP_AUTHORIZATION=self.credentials)
response = self.client.post(self.url, data=input, format='json')
self.assertEqual(response.status_code, 201)
def test_201_response_smudge_time(self):
"""
Ensure that a second request with the time is saved appropriately
"""
ClassDictFactory = generate_dict_factory(ArtifactStatsRestFactory)
input = ClassDictFactory()
self.client.credentials(HTTP_AUTHORIZATION=self.credentials)
self.client.post(self.url, data=input, format='json')
response = self.client.post(self.url, data=input, format='json')
self.assertEqual(response.status_code, 201)
class OLTPBenchMetricsFactory(Factory):
class Meta:
model = OLTPBenchMetrics
throughput = Faker('pydecimal',
left_digits=9,
right_digits=15,
positive=True)
latency = LatencyMetricsFactory().__dict__
incremental_metrics = Faker(
'random_elements',
elements=(
generate_dict_factory(IncrementalMetricsFactory)(),
generate_dict_factory(IncrementalMetricsFactory)(),
generate_dict_factory(IncrementalMetricsFactory)(),
generate_dict_factory(IncrementalMetricsFactory)(),
generate_dict_factory(IncrementalMetricsFactory)(),
),
unique=True)
class ArtifactStatsRestFactory(Factory):
class Meta:
model = ArtifactStatsRest
metadata = generate_dict_factory(MetadataFactory)()
timestamp = Faker('date_time')
metrics = Faker('pydict', value_types=[int, float, str, [], dict])