def CreateCoreTimelineBasedMeasurementOptions(self):
cat_filter = chrome_trace_category_filter.ChromeTraceCategoryFilter(
filter_string='rail,toplevel,uma')
cat_filter.AddIncludedCategory('accessibility')
# Needed for the metric reported by page.
cat_filter.AddIncludedCategory('blink.user_timing')
# Needed for the console error metric.
cat_filter.AddIncludedCategory('v8.console')
options = timeline_based_measurement.Options(cat_filter)
options.config.enable_chrome_trace = True
options.config.enable_cpu_trace = True
options.config.chrome_trace_config.EnableUMAHistograms(
*SYSTEM_HEALTH_BENCHMARK_UMA)
options.SetTimelineBasedMetrics([
'accessibilityMetric',
'consoleErrorMetric',
'cpuTimeMetric',
'limitedCpuTimeMetric',
'reportedByPageMetric',
'tracingMetric',
'umaMetric',
# Unless --experimentatil-tbmv3-metric flag is used, the following tbmv3
# metrics do nothing.
'tbmv3:accessibility_metric',
'tbmv3:cpu_time_metric',
])
loading_metrics_category.AugmentOptionsForLoadingMetrics(options)
# The EQT metric depends on the same categories as the loading metric.
options.AddTimelineBasedMetric('expectedQueueingTimeMetric')
return options
def CreateCoreTimelineBasedMeasurementOptions(self):
tbm_options = timeline_based_measurement.Options()
loading_metrics_category.AugmentOptionsForLoadingMetrics(tbm_options)
# Enable "Memory.GPU.PeakMemoryUsage.PageLoad" so we can measure the GPU
# memory used throughout the page loading tests. Include "umaMetric" as a
# timeline so that we can parse this UMA Histogram.
tbm_options.config.chrome_trace_config.EnableUMAHistograms(
'Memory.GPU.PeakMemoryUsage.PageLoad')
# Add "umaMetric" to the timeline based metrics. This does not override
# those added in loading_metrics_category.AugmentOptionsForLoadingMetrics.
tbm_options.AddTimelineBasedMetric('umaMetric')
return tbm_options
def CreateTimelineBasedMeasurementOptions(self):
options = timeline_based_measurement.Options(
chrome_trace_category_filter.ChromeTraceCategoryFilter())
options.config.chrome_trace_config.category_filter.AddFilterString(
'rail')
options.config.enable_battor_trace = True
options.config.enable_chrome_trace = True
options.config.enable_cpu_trace = True
options.SetTimelineBasedMetrics(
['clockSyncLatencyMetric', 'powerMetric', 'tracingMetric'])
loading_metrics_category.AugmentOptionsForLoadingMetrics(options)
# The EQT metric depends on the same categories as the loading metric.
options.AddTimelineBasedMetric('expectedQueueingTimeMetric')
return options
def CreateCoreTimelineBasedMeasurementOptions(self):
cat_filter = chrome_trace_category_filter.ChromeTraceCategoryFilter(
filter_string='-*,toplevel,rail,disabled-by-default-memory-infra')
options = timeline_based_measurement.Options(cat_filter)
options.SetTimelineBasedMetrics([
'cpuTimeMetric',
'loadingMetric',
'memoryMetric',
'tracingMetric',
])
loading_metrics_category.AugmentOptionsForLoadingMetrics(options)
# Disable periodic dumps by setting default config.
options.config.chrome_trace_config.SetMemoryDumpConfig(
chrome_trace_config.MemoryDumpConfig())
return options
def CreateCoreTimelineBasedMeasurementOptions(self):
cat_filter = chrome_trace_category_filter.ChromeTraceCategoryFilter(
filter_string='rail,toplevel')
cat_filter.AddIncludedCategory('accessibility')
options = timeline_based_measurement.Options(cat_filter)
options.config.enable_chrome_trace = True
options.config.enable_cpu_trace = True
options.SetTimelineBasedMetrics([
'cpuTimeMetric', 'tracingMetric', 'accessibilityMetric',
'limitedCpuTimeMetric'
])
loading_metrics_category.AugmentOptionsForLoadingMetrics(options)
# The EQT metric depends on the same categories as the loading metric.
options.AddTimelineBasedMetric('expectedQueueingTimeMetric')
return options
def CreateCoreTimelineBasedMeasurementOptions(self):
tbm_options = timeline_based_measurement.Options()
loading_metrics_category.AugmentOptionsForLoadingMetrics(tbm_options)
# Enable "Memory.GPU.PeakMemoryUsage.PageLoad" so we can measure the GPU
# memory used throughout the page loading tests. Include "umaMetric" as a
# timeline so that we can parse this UMA Histogram.
tbm_options.config.chrome_trace_config.EnableUMAHistograms(
'Memory.GPU.PeakMemoryUsage.PageLoad',
'PageLoad.PaintTiming.NavigationToLargestContentfulPaint',
'PageLoad.PaintTiming.NavigationToFirstContentfulPaint',
'PageLoad.LayoutInstability.CumulativeShiftScore')
# Add "umaMetric" to the timeline based metrics. This does not override
# those added in loading_metrics_category.AugmentOptionsForLoadingMetrics.
tbm_options.AddTimelineBasedMetric('umaMetric')
return tbm_options
def CreateCoreTimelineBasedMeasurementOptions(self):
tbm_options = timeline_based_measurement.Options()
loading_metrics_category.AugmentOptionsForLoadingMetrics(tbm_options)
return tbm_options