def _ComputeTimelineBasedMetrics(self, results, trace_value):
metrics = self._tbm_options.GetTimelineBasedMetrics()
extra_import_options = {'trackDetailedModelStats': True}
start = time.time()
mre_result = metric_runner.RunMetric(
trace_value.filename,
metrics,
extra_import_options,
report_progress=False,
canonical_url=results.telemetry_info.trace_url)
logging.warning('Processing resulting traces took %.3f seconds' %
(time.time() - start))
page = results.current_page
failure_dicts = mre_result.failures
for d in failure_dicts:
results.AddValue(common_value_helpers.TranslateMreFailure(d, page))
results.histograms.ImportDicts(mre_result.pairs.get('histograms', []))
results.histograms.ResolveRelatedHistograms()
for d in mre_result.pairs.get('scalars', []):
results.AddValue(common_value_helpers.TranslateScalarValue(
d, page))
def testTranslateMreFailure(self):
map_function_handle = _SingleFileFunctionHandle('foo.html', 'Foo', '2')
job = job_module.Job(map_function_handle, '1')
story_set = story.StorySet(base_dir=os.path.dirname(__file__))
p = page.Page('http://www.foo.com/', story_set, story_set.base_dir)
f = failure.Failure(job, 'foo', '/a.json', 'MyFailure', 'failure',
'stack')
fv = common_value_helpers.TranslateMreFailure(f, p)
self.assertIn('stack', str(fv))
def _ComputeTimelineBasedMetrics(self, results, trace_value):
metrics = self._tbm_options.GetTimelineBasedMetrics()
extra_import_options = {'trackDetailedModelStats': True}
mre_result = metric_runner.RunMetric(trace_value.filename, metrics,
extra_import_options)
page = results.current_page
failure_dicts = mre_result.failures
for d in failure_dicts:
results.AddValue(common_value_helpers.TranslateMreFailure(d, page))
results.value_set.extend(mre_result.pairs.get('histograms', []))
for d in mre_result.pairs.get('scalars', []):
results.AddValue(common_value_helpers.TranslateScalarValue(
d, page))
def _ComputeTimelineBasedMetric(self, results, trace_value):
metric = self._tbm_options.GetTimelineBasedMetric()
extra_import_options = {'trackDetailedModelStats': True}
mre_result = metric_runner.RunMetric(trace_value.filename, metric,
extra_import_options)
page = results.current_page
failure_dicts = mre_result.failures
for d in failure_dicts:
results.AddValue(common_value_helpers.TranslateMreFailure(d, page))
value_dicts = mre_result.pairs.get('values', [])
for d in value_dicts:
if common_value_helpers.IsScalarNumericValue(d):
results.AddValue(
common_value_helpers.TranslateScalarValue(d, page))
