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# Copyright 2022 The Chromium Authors
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from core import perf_benchmark
import page_sets
from benchmarks import loading_metrics_category
from telemetry import benchmark
from telemetry.web_perf import timeline_based_measurement
class _AdFramesBase(perf_benchmark.PerfBenchmark):
""" A base class for loading benchmarks into ad frames. """
def SetExtraBrowserOptions(self, options):
# --disable-background-networking causes the server to send the ads without
# the `supports-loading-mode: fenced-frames` header. So we allow background
# networking so the headers allow the page to load in a fenced frame.
options.disable_background_networking = False
def CreateCoreTimelineBasedMeasurementOptions(self):
options = timeline_based_measurement.Options()
loading_metrics_category.AugmentOptionsForLoadingMetrics(options)
# Enable "Memory.GPU.PeakMemoryUsage2.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.
options.config.chrome_trace_config.EnableUMAHistograms(
'PageLoad.PaintTiming.NavigationToFirstContentfulPaint',
'PageLoad.Clients.FencedFrames.PaintTiming.NavigationToFirstContentfulPaint',
'PageLoad.Clients.ThirdParty.Frames.NavigationToFirstContentfulPaint3')
# Add "umaMetric" to the timeline based metrics. This does not override
# those added in loading_metrics_category.AugmentOptionsForLoadingMetrics.
options.AddTimelineBasedMetric('umaMetric')
options.AddTimelineBasedMetric('loadingMetric')
return options
@benchmark.Info(emails=['lbrady@google.com'],
component='Blink>FencedFrames',
documentation_url='https://tinyurl.com/fenced-frame-benchmark')
class FencedFrameBenchmark(_AdFramesBase):
""" A benchmark measuring loading performance inside MPArch fenced frames. """
def CreateStorySet(self, options):
return page_sets.FencedFramePageSet()
@classmethod
def Name(cls):
return 'ad_frames.fencedframe'
@benchmark.Info(emails=['lbrady@google.com'],
component='Blink>FencedFrames',
documentation_url='https://tinyurl.com/fenced-frame-benchmark')
class IframeBenchmark(_AdFramesBase):
""" A benchmark measuring loading performance inside iframes. """
def CreateStorySet(self, options):
return page_sets.IframePageSet()
@classmethod
def Name(cls):
return 'UNSCHEDULED_ad_frames.iframe'
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