def test_series_list_to_result_pbs_active_default(self):
result = IogenResult(self.scenario, "fake_result", self.workload,
result_type="active")
timestamps, series_list = self.__fake_timestamps_and_series_list()
result_pbs = result.series_list_to_result_pbs(series_list)
self.assertEqual(len(result_pbs), 4)
for result_pb in result_pbs:
self.assertEqual(type(result_pb), CurieTestResult)
self.assertEqual(result_pb.data_2d.x_unit_type,
CurieTestResult.Data2D.kUnixTimestamp)
self.assertEqual(result_pb.data_2d.y_unit_type,
CurieTestResult.Data2D.kBoolean)
def test_series_list_to_result_pbs_aggregate_sum(self):
result = IogenResult(self.scenario, "fake_result", self.workload,
result_type="iops", aggregate="sum")
timestamps, series_list = self.__fake_timestamps_and_series_list()
result_pbs = result.series_list_to_result_pbs(series_list)
self.assertEqual(len(result_pbs), 1)
for result_pb in result_pbs:
self.assertEqual(type(result_pb), CurieTestResult)
self.assertEqual(result_pb.data_2d.x_unit_type,
CurieTestResult.Data2D.kUnixTimestamp)
self.assertEqual(result_pb.data_2d.y_unit_type,
CurieTestResult.Data2D.kIOPS)
def test_report_metrics_exception(self):
with mock.patch("curie.result.base_result.curie_test_pb2."
"CurieTestResult.Data2D.ReportMetric.Value") as mock_value:
mock_value.side_effect = ValueError
with self.assertRaises(CurieTestException):
IogenResult(self.scenario, "fake_result", self.workload,
result_type="iops",
report_metrics=["Mean", "Variability"])
def test_report_metrics(self):
result = IogenResult(self.scenario, "fake_result", self.workload,
result_type="iops",
report_metrics=["Mean", "Variability"])
Data2D = curie_test_pb2.CurieTestResult.Data2D
self.assertEqual([Data2D.kMean, Data2D.kVariability],
result.report_metrics)
def test_combine_results_empty_series(self):
timestamps, series_list = self.__fake_timestamps_and_series_list()
series_list.append(pandas.Series(index=pandas.to_datetime([], unit="ms")))
combined = IogenResult._combine_results(
series_list, "mean",
resample_secs=self.iogen.reporting_interval)
assert_series_equal(combined,
pandas.Series(index=pandas.to_datetime([],
unit="ms")))
def test_combine_results_mean(self):
timestamps, series_list = self.__fake_timestamps_and_series_list()
combined = IogenResult._combine_results(
series_list, "mean",
resample_secs=self.iogen.reporting_interval)
assert_series_equal(combined,
pandas.Series([0.0, 1.0, 2.0, 3.0, 4.0, 5.0],
index=pandas.to_datetime(timestamps,
unit="ms")))
def test_combine_results_sum(self):
timestamps, series_list = self.__fake_timestamps_and_series_list()
combined = IogenResult._combine_results(
series_list, "sum",
resample_secs=self.iogen.reporting_interval)
assert_series_equal(combined,
pandas.Series([0, 4, 8, 12, 16, 20],
index=pandas.to_datetime(timestamps,
unit="ms")))
def test_combine_results_partially_empty_series(self):
timestamps, series_list = self.__fake_timestamps_and_series_list()
series_list[-1] = series_list[-1].head(3)
combined = IogenResult._combine_results(
series_list, "sum",
resample_secs=self.iogen.reporting_interval)
assert_series_equal(combined,
pandas.Series([0.0, 4.0, 8.0, 9.0, 12.0, 15.0],
index=pandas.to_datetime(timestamps,
unit="ms")))
def test_series_list_to_result_pbs_aggregate_empty_series(self):
result = IogenResult(self.scenario, "fake_result", self.workload,
result_type="iops", aggregate="sum")
result_pbs = result.series_list_to_result_pbs([pandas.Series()])
self.assertEqual(len(result_pbs), 0)
def test_series_list_to_result_pbs_invalid_type(self):
with self.assertRaises(CurieTestException):
IogenResult(self.scenario, "fake_result", self.workload,
result_type="not_a_type")
def test_combine_results_empty_list(self):
self.assertTrue(IogenResult._combine_results(
[], "mean",
resample_secs=self.iogen.reporting_interval) is None)
def test_series_list_to_result_pbs_aggregate_invalid(self):
with self.assertRaises(CurieTestException):
IogenResult(self.scenario, "fake_result", self.workload,
result_type="iops", aggregate="not_a_valid_input")