def IsMonitored(client, test):
reason = []
has_subscribers = utils.IsMonitored(client, test.test_path)
if not has_subscribers:
reason.append('subscriptions')
if not test.has_rows:
reason.append('has_rows')
if reason:
logging.info('Skip test: %s reason=%s', test.key, ','.join(reason))
return False
logging.info('Process test: %s', test.key)
return True
def _CreateHistogramTasks(suite_path,
histograms,
revision,
benchmark_description,
completion_token=None):
tasks = []
duplicate_check = set()
measurement_add_futures = []
sheriff_client = sheriff_config_client.GetSheriffConfigClient()
for hist in histograms:
diagnostics = FindHistogramLevelSparseDiagnostics(hist)
test_path = '%s/%s' % (suite_path,
histogram_helpers.ComputeTestPath(hist))
# Log the information here so we can see which histograms are being queued.
logging.debug('Queueing: %s', test_path)
if test_path in duplicate_check:
raise api_request_handler.BadRequestError(
'Duplicate histogram detected: %s' % test_path)
duplicate_check.add(test_path)
# We create one task per histogram, so that we can get as much time as we
# need for processing each histogram per task.
task_dict = _MakeTaskDict(hist, test_path, revision,
benchmark_description, diagnostics,
completion_token)
tasks.append(_MakeTask([task_dict]))
if completion_token is not None:
measurement_add_futures.append(
completion_token.AddMeasurement(
test_path, utils.IsMonitored(sheriff_client, test_path)))
ndb.Future.wait_all(measurement_add_futures)
return tasks
def testIsMonitored_Negative(self): sheriff_client = sheriff_config_client.GetSheriffConfigClient() self.assertFalse(utils.IsMonitored(sheriff_client, 'test'))