def testCheckModelParityWithoutErrors(self):
result = check_model_consistency._checkModelParity(
engineMetrics=_ACTIVE_PARITY_WITH_ONE_ERROR_METRIC["engineMetrics"],
dynamodbMetrics=_ACTIVE_PARITY_WITH_ONE_ERROR_METRIC["dynamodbMetrics"],
verbose=False)
self.assertEqual(result, ([], []))
def testCheckModelParityWithMoreInEngine(self):
engineMetrics = [
dict(
uid="uid1",
name="name1",
server="server1",
status=MetricStatus.ACTIVE,
message=None,
parameters=json.dumps(
dict(
metricSpec=dict(
userInfo=dict(
metricType="metricType1",
metricTypeName="metricTypeName1",
symbol="symbol1"))))
),
dict(
uid="uid2",
name="name2",
server="server2",
status=MetricStatus.ACTIVE,
message=None,
parameters=json.dumps(
dict(
metricSpec=dict(
userInfo=dict(
metricType="metricType2",
metricTypeName="metricTypeName2",
symbol="symbol2"))))
)
]
dynamodbMetrics = [
dict(
uid="uid2",
name="name2",
display_name="server2",
metricType="metricType2",
metricTypeName="metricTypeName2",
symbol="symbol2"
)
]
warnings, errors = check_model_consistency._checkModelParity(
engineMetrics=engineMetrics,
dynamodbMetrics=dynamodbMetrics,
verbose=False)
self.assertEqual(warnings, [])
self.assertEqual(len(errors), 1)
def testCheckModelParityWithoutErrors(self):
result = check_model_consistency._checkModelParity(
engineMetrics=_ACTIVE_PARITY_WITH_ONE_ERROR_METRIC[
"engineMetrics"],
dynamodbMetrics=_ACTIVE_PARITY_WITH_ONE_ERROR_METRIC[
"dynamodbMetrics"],
verbose=False)
self.assertEqual(result, ([], []))
def testCheckModelParityWithMoreInEngine(self):
engineMetrics = [
dict(uid="uid1",
name="name1",
server="server1",
status=MetricStatus.ACTIVE,
message=None,
parameters=json.dumps(
dict(metricSpec=dict(
userInfo=dict(metricType="metricType1",
metricTypeName="metricTypeName1",
symbol="symbol1"))))),
dict(uid="uid2",
name="name2",
server="server2",
status=MetricStatus.ACTIVE,
message=None,
parameters=json.dumps(
dict(metricSpec=dict(
userInfo=dict(metricType="metricType2",
metricTypeName="metricTypeName2",
symbol="symbol2")))))
]
dynamodbMetrics = [
dict(uid="uid2",
name="name2",
display_name="server2",
metricType="metricType2",
metricTypeName="metricTypeName2",
symbol="symbol2")
]
warnings, errors = check_model_consistency._checkModelParity(
engineMetrics=engineMetrics,
dynamodbMetrics=dynamodbMetrics,
verbose=False)
self.assertEqual(warnings, [])
self.assertEqual(len(errors), 1)
