blob: b62adf7990776c0a6c6cc4047f660735382e0fa0 [file] [log] [blame]
# Copyright 2018 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.
import json
from page_sets import press_story
from telemetry import story
from telemetry.value import list_of_scalar_values
from telemetry.value import scalar
DESCRIPTIONS = {
'ai-astar':
'This benchmark uses the [A* search algorithm]'
'(http://en.wikipedia.org/wiki/A*_search_algorithm) to automatically '
'plot an efficient path between two points, in the presence of '
'obstacles. Adapted from code by [Brian Gringstead]'
'(http://www.briangrinstead.com/blog/astar-search-algorithm-in-'
'javascript).',
'audio-beat-detection':
'This benchmark performs [beat detection]'
'(http://en.wikipedia.org/wiki/Beat_detection) on an Audio sample '
'using [code](http://beatdetektor.svn.sourceforge.net/viewvc'
'/beatdetektor/trunk/core/js/beatdetektor.js?revision=18&view=markup) '
'from [BeatDetektor](http://www.cubicproductions.com/index.php'
'?option=com_content&view=article&id=67&Itemid=82) and '
'[DSP.js](http://github.com/corbanbrook/dsp.js/).',
'audio-dft':
'This benchmark performs a [Discrete Fourier Transform]'
'(http://en.wikipedia.org/wiki/Discrete_Fourier_transform) on an '
'Audio sample using code from [DSP.js]'
'(http://github.com/corbanbrook/dsp.js).',
'audio-fft':
'This benchmark performs a [Fast Fourier Transform]'
'(http://en.wikipedia.org/wiki/Fast_Fourier_transform) on an Audio '
'sample using code from [DSP.js]'
'(http://github.com/corbanbrook/dsp.js/).',
'audio-oscillator':
'This benchmark generates a soundwave using code from [DSP.js]'
'(http://github.com/corbanbrook/dsp.js/).',
'imaging-darkroom':
'This benchmark performs a variety of photo manipulations such as '
'Fill, Brightness, Contrast, Saturation, and Temperature.',
'imaging-desaturate':
'This benchmark [desaturates]'
'(http://en.wikipedia.org/wiki/Colorfulness) a photo using code from '
'[Pixastic](http://www.pixastic.com/).',
'imaging-gaussian-blur':
'This benchmark performs a [Gaussian blur]'
'(http://en.wikipedia.org/wiki/Gaussian_blur) on a photo.',
'json-parse-financial':
'This benchmark parses [JSON](http://www.json.org) records.',
'json-stringify-tinderbox':
'This benchmark serializes [Tinderbox]'
'(http://tests.themasta.com/tinderboxpushlog/?tree=Firefox) build '
'data to [JSON](http://www.json.org).',
}
def _Mean(l):
return float(sum(l)) / len(l) if len(l) > 0 else 0.0
class KrakenStory(press_story.PressStory):
URL='http://krakenbenchmark.mozilla.org/kraken-1.1/driver.html'
def ExecuteTest(self, action_runner):
action_runner.WaitForJavaScriptCondition(
'document.title.indexOf("Results") != -1', timeout=700)
action_runner.tab.WaitForDocumentReadyStateToBeComplete()
def ParseTestResults(self, action_runner):
result_dict = json.loads(action_runner.EvaluateJavaScript("""
var formElement = document.getElementsByTagName("input")[0];
decodeURIComponent(formElement.value.split("?")[1]);
"""))
total = 0
for key in result_dict:
if key == 'v':
continue
self.AddJavascriptMetricValue(list_of_scalar_values.ListOfScalarValues(
self, key, 'ms', result_dict[key], important=False,
description=DESCRIPTIONS.get(key)))
total += _Mean(result_dict[key])
# TODO(tonyg/nednguyen): This measurement shouldn't calculate Total. The
# results system should do that for us.
self.AddJavascriptMetricValue(scalar.ScalarValue(
self, 'Total', 'ms', total,
description='Total of the means of the results for each type '
'of benchmark in [Mozilla\'s Kraken JavaScript benchmark]'
'(http://krakenbenchmark.mozilla.org/)'))
class KrakenStorySet(story.StorySet):
def __init__(self):
super(KrakenStorySet, self).__init__(
archive_data_file='data/kraken.json',
cloud_storage_bucket=story.PARTNER_BUCKET)
self.AddStory(KrakenStory(self))