def testCheckAllSendsNotification(self, tableMock, botoDynamoDB2Mock,
requestsGetMock):
# Mock API to return pre-defined models in lieu of making an API call to
# a live taurus models HTTP endpoint
requestsGetMock.return_value = Mock(status_code=200,
json=Mock(return_value=MODELS))
# Mock boto dynamodb queries by returning locally cached metric data.
# See data/*-data.pickle
# Disable pylint warning about unused, and improperly named arguments
# pylint: disable=W0613,C0103
def query2SideEffect(uid__eq, timestamp__gte):
return METRIC_DATA_BY_ID[uid__eq]
tableMock.return_value = (Mock(query_2=Mock(
side_effect=query2SideEffect, __name__=str(id(query2SideEffect)))))
with self.assertRaises(LatencyMonitorError) as exc:
ModelLatencyChecker().checkAllModelLatency()
self.assertEqual(
exc.exception.message,
"The following models have exceeded the acceptable threshold for time si"
"nce last timestamp in taurus.metric_data.test DynamoDB table:\n Late"
"ncyMonitorErrorParams(model_name=TWITTER.TWEET.HANDLE.SPG.VOLUME, model"
"_uid=0021c2d17c0a4eb4965b6cb315c1d2e9, threshold=32548.9007552 seconds,"
" last_timestamp=2015-11-01 16:12:53+00:00)\n LatencyMonitorErrorPara"
"ms(model_name=XIGNITE.TRI.VOLUME, model_uid=00261089e61b4af1a1e4b3d0c06"
"aa84a, threshold=32889.8983336 seconds, last_timestamp=2015-10-30 19:55"
":00+00:00)\n LatencyMonitorErrorParams(model_name=XIGNITE.BK.CLOSING"
"PRICE, model_uid=018662cc75b14860b72319d92883c896, threshold=32889.8983"
"336 seconds, last_timestamp=2015-10-30 19:55:00+00:00)")
def testMissingMonitorConfPathArgRaisesParserError(self):
# Assert that not specifying a required --monitorConfPath option will
# result in a parser error, and consequently a sys.exit(), as indicated by
# the SystemExit exception
with self.assertRaises(SystemExit):
ModelLatencyChecker().checkAllModelLatency()
def testMarketHours(self, tableMock, botoDynamoDB2Mock, requestsGetMock):
# Mock API to return pre-defined models in lieu of making an API call to
# a live taurus models HTTP endpoint
requestsGetMock.return_value = Mock(status_code=200,
json=Mock(return_value=MODELS))
# Mock boto dynamodb queries by returning locally cached metric data.
# See data/*-data.pickle
# Disable pylint warning about unused, and improperly named arguments
# pylint: disable=W0613,C0103
def query2SideEffect(uid__eq, timestamp__gte):
return METRIC_DATA_BY_ID[uid__eq]
tableMock.return_value = (Mock(query_2=Mock(
side_effect=query2SideEffect, __name__=str(id(query2SideEffect)))))
# This should not raise an exception
with patch(
"taurus_monitoring.latency_monitor.model_latency_monitor.isOuts"
"ideMarketHours",
Mock(wraps=isOutsideMarketHours)) as isOutsideMarketHoursMock:
ModelLatencyChecker().checkAllModelLatency()
self.assertTrue(isOutsideMarketHoursMock.called)
# Now, check to see if we attempted to query dynamodb
stockModelUIDs = [model["uid"] for model in MODELS]
for (_, kwargs) in tableMock.return_value.query_2.call_args_list:
for uid in stockModelUIDs:
if kwargs["uid__eq"] == uid:
self.fail(
"Dynamodb was queried for a stock model after hours")
def testCheckAllModelLatencyGracefullyHandlesAPIFailure(
self, requestsGetMock):
# Mock API to return 500 status in lieu of making an API call to a live
# taurus models HTTP endpoint
requestsGetMock.return_value = Mock(status_code=500)
with self.assertRaises(LatencyMonitorError) as exc:
ModelLatencyChecker().checkAllModelLatency()
self.assertIn((
"Unable to query Taurus API for active models: Unexpected HTTP response"
" status (500) from taurusModelsUrl"), exc.exception.message)
def testRegisterCheckRegisteredOnlyCheckAllModelLatency(self):
modelLatencyChecker = ModelLatencyChecker()
self.assertEqual(len(modelLatencyChecker.checks), 1)
self.assertSetEqual(
set(fn.func_name for fn in modelLatencyChecker.checks),
set(["checkAllModelLatency"]))