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)