Convert smoothness to the new timeline based metric API.

tools/perf/metrics/smoothness.py

 # Copyright 2013 The Chromium Authors. All rights reserved.
 # Use of this source code is governed by a BSD-style license that can be
 # found in the LICENSE file.
 
-from metrics import Metric
+from metrics import timeline_based_metric
 from metrics import rendering_stats
-from telemetry.page import page_measurement
 from telemetry.page.perf_tests_helper import FlattenList
 from telemetry.util import statistics
-from telemetry.core.timeline.model import TimelineModel
-
-TIMELINE_MARKER = 'Smoothness'
+from telemetry.core.timeline import bounds
 
 
-class MissingDisplayFrameRateError(page_measurement.MeasurementFailure):
-  def __init__(self, name):
-    super(MissingDisplayFrameRateError, self).__init__(
-        'Missing display frame rate metrics: ' + name)
-
-class NotEnoughFramesError(page_measurement.MeasurementFailure):
-  def __init__(self):
-    super(NotEnoughFramesError, self).__init__(
-        'Page output less than two frames')
-
-
-class NoSupportedActionError(page_measurement.MeasurementFailure):
-  def __init__(self):
-    super(NoSupportedActionError, self).__init__(
-        'None of the actions is supported by smoothness measurement')
-
-
-def _GetSyntheticDelayCategoriesFromPage(page):
-  if not hasattr(page, 'synthetic_delays'):
-    return []
-  result = []
-  for delay, options in page.synthetic_delays.items():
-    options = '%f;%s' % (options.get('target_duration', 0),
-                         options.get('mode', 'static'))
-    result.append('DELAY(%s;%s)' % (delay, options))
-  return result
-
-
-class SmoothnessMetric(Metric):
+class SmoothnessMetric(timeline_based_metric.TimelineBasedMetric):
   def __init__(self):
     super(SmoothnessMetric, self).__init__()
-    self._stats = None
-    self._actions = []
 
-  def AddActionToIncludeInMetric(self, action):
-    self._actions.append(action)
-
-  def Start(self, page, tab):
-    custom_categories = ['webkit.console', 'benchmark']
-    custom_categories += _GetSyntheticDelayCategoriesFromPage(page)
-    tab.browser.StartTracing(','.join(custom_categories), 60)
-    tab.ExecuteJavaScript('console.time("' + TIMELINE_MARKER + '")')
-    if tab.browser.platform.IsRawDisplayFrameRateSupported():
-      tab.browser.platform.StartRawDisplayFrameRateMeasurement()
-
-  def Stop(self, page, tab):
-    if tab.browser.platform.IsRawDisplayFrameRateSupported():
-      tab.browser.platform.StopRawDisplayFrameRateMeasurement()
-    tab.ExecuteJavaScript('console.timeEnd("' + TIMELINE_MARKER + '")')
-    tracing_timeline_data = tab.browser.StopTracing()
-    timeline_model = TimelineModel(timeline_data=tracing_timeline_data)
-    timeline_ranges = [ action.GetActiveRangeOnTimeline(timeline_model)
-                        for action in self._actions ]
-
-    renderer_process = timeline_model.GetRendererProcessFromTab(tab)
-    self._stats = rendering_stats.RenderingStats(
-        renderer_process, timeline_model.browser_process, timeline_ranges)
-
-    if not self._stats.frame_times:
-      raise NotEnoughFramesError()
-
-  def AddResults(self, tab, results):
-    if self._stats.mouse_wheel_scroll_latency:
+  def AddResults(self, model, renderer_thread, interaction_record, results):
+    renderer_process = renderer_thread.parent
+    time_bounds = bounds.Bounds()
+    time_bounds.AddValue(interaction_record.start)
+    time_bounds.AddValue(interaction_record.end)
+    stats = rendering_stats.RenderingStats(
+      renderer_process, model.browser_process, [time_bounds])
+    if stats.mouse_wheel_scroll_latency:
       mean_mouse_wheel_scroll_latency = statistics.ArithmeticMean(
-          self._stats.mouse_wheel_scroll_latency)
+        stats.mouse_wheel_scroll_latency)
       mouse_wheel_scroll_latency_discrepancy = statistics.DurationsDiscrepancy(
-          self._stats.mouse_wheel_scroll_latency)
+        stats.mouse_wheel_scroll_latency)
       results.Add('mean_mouse_wheel_scroll_latency', 'ms',
                   round(mean_mouse_wheel_scroll_latency, 3))
       results.Add('mouse_wheel_scroll_latency_discrepancy', '',
                   round(mouse_wheel_scroll_latency_discrepancy, 4))
 
-    if self._stats.touch_scroll_latency:
+    if stats.touch_scroll_latency:
       mean_touch_scroll_latency = statistics.ArithmeticMean(
-          self._stats.touch_scroll_latency)
+        stats.touch_scroll_latency)
       touch_scroll_latency_discrepancy = statistics.DurationsDiscrepancy(
-          self._stats.touch_scroll_latency)
+        stats.touch_scroll_latency)
       results.Add('mean_touch_scroll_latency', 'ms',
                   round(mean_touch_scroll_latency, 3))
       results.Add('touch_scroll_latency_discrepancy', '',
                   round(touch_scroll_latency_discrepancy, 4))
 
-    if self._stats.js_touch_scroll_latency:
+    if stats.js_touch_scroll_latency:
       mean_js_touch_scroll_latency = statistics.ArithmeticMean(
-          self._stats.js_touch_scroll_latency)
+        stats.js_touch_scroll_latency)
       js_touch_scroll_latency_discrepancy = statistics.DurationsDiscrepancy(
-          self._stats.js_touch_scroll_latency)
+        stats.js_touch_scroll_latency)
       results.Add('mean_js_touch_scroll_latency', 'ms',
                   round(mean_js_touch_scroll_latency, 3))
       results.Add('js_touch_scroll_latency_discrepancy', '',
                   round(js_touch_scroll_latency_discrepancy, 4))
 
     # List of raw frame times.
-    frame_times = FlattenList(self._stats.frame_times)
+    frame_times = FlattenList(stats.frame_times)
     results.Add('frame_times', 'ms', frame_times)
 
     # Arithmetic mean of frame times.
     mean_frame_time = statistics.ArithmeticMean(frame_times)
     results.Add('mean_frame_time', 'ms', round(mean_frame_time, 3))
 
     # Absolute discrepancy of frame time stamps.
     frame_discrepancy = statistics.TimestampsDiscrepancy(
-        self._stats.frame_timestamps)
+      stats.frame_timestamps)
     results.Add('jank', 'ms', round(frame_discrepancy, 4))
 
     # Are we hitting 60 fps for 95 percent of all frames?
     # We use 19ms as a somewhat looser threshold, instead of 1000.0/60.0.
     percentile_95 = statistics.Percentile(frame_times, 95.0)
     results.Add('mostly_smooth', 'score', 1.0 if percentile_95 < 19.0 else 0.0)
-
-    if tab.browser.platform.IsRawDisplayFrameRateSupported():
-      for r in tab.browser.platform.GetRawDisplayFrameRateMeasurements():
-        if r.value is None:
-          raise MissingDisplayFrameRateError(r.name)
-        results.Add(r.name, r.unit, r.value)