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#!/usr/bin/env python
# Copyright (C) 2012 Google Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following disclaimer
# in the documentation and/or other materials provided with the
# distribution.
# * Neither the name of Google Inc. nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import logging
import math
import re
from webkitpy.layout_tests.port.driver import DriverInput
_log = logging.getLogger(__name__)
class PerfTest(object):
def __init__(self, test_name, path_or_url):
self._test_name = test_name
self._path_or_url = path_or_url
def test_name(self):
return self._test_name
def path_or_url(self):
return self._path_or_url
def run(self, driver, timeout_ms):
output = driver.run_test(DriverInput(self.path_or_url(), timeout_ms, None, False))
if self.run_failed(output):
return None
return self.parse_output(output)
def run_failed(self, output):
if output.text == None or output.error:
pass
elif output.timeout:
_log.error('timeout: %s' % self.test_name())
elif output.crash:
_log.error('crash: %s' % self.test_name())
else:
return False
if output.error:
_log.error('error: %s\n%s' % (self.test_name(), output.error))
return True
_lines_to_ignore_in_parser_result = [
re.compile(r'^Running \d+ times$'),
re.compile(r'^Ignoring warm-up '),
re.compile(r'^Info:'),
re.compile(r'^\d+(.\d+)?$'),
# Following are for handle existing test like Dromaeo
re.compile(re.escape("""main frame - has 1 onunload handler(s)""")),
re.compile(re.escape("""frame "<!--framePath //<!--frame0-->-->" - has 1 onunload handler(s)""")),
re.compile(re.escape("""frame "<!--framePath //<!--frame0-->/<!--frame0-->-->" - has 1 onunload handler(s)"""))]
_statistics_keys = ['avg', 'median', 'stdev', 'min', 'max']
def _should_ignore_line_in_parser_test_result(self, line):
if not line:
return True
for regex in self._lines_to_ignore_in_parser_result:
if regex.search(line):
return True
return False
def parse_output(self, output):
got_a_result = False
test_failed = False
results = {}
score_regex = re.compile(r'^(?P<key>' + r'|'.join(self._statistics_keys) + r')\s+(?P<value>[0-9\.]+)\s*(?P<unit>.*)')
unit = "ms"
for line in re.split('\n', output.text):
score = score_regex.match(line)
if score:
results[score.group('key')] = float(score.group('value'))
if score.group('unit'):
unit = score.group('unit')
continue
if not self._should_ignore_line_in_parser_test_result(line):
test_failed = True
_log.error(line)
if test_failed or set(self._statistics_keys) != set(results.keys()):
return None
results['unit'] = unit
test_name = re.sub(r'\.\w+$', '', self._test_name)
self.output_statistics(test_name, results)
return {test_name: results}
def output_statistics(self, test_name, results):
unit = results['unit']
_log.info('RESULT %s= %s %s' % (test_name.replace('/', ': '), results['avg'], unit))
_log.info(', '.join(['%s= %s %s' % (key, results[key], unit) for key in self._statistics_keys[1:]]))
class ChromiumStylePerfTest(PerfTest):
_chromium_style_result_regex = re.compile(r'^RESULT\s+(?P<name>[^=]+)\s*=\s+(?P<value>\d+(\.\d+)?)\s*(?P<unit>\w+)$')
def __init__(self, test_name, path_or_url):
super(ChromiumStylePerfTest, self).__init__(test_name, path_or_url)
def parse_output(self, output):
test_failed = False
got_a_result = False
results = {}
for line in re.split('\n', output.text):
resultLine = ChromiumStylePerfTest._chromium_style_result_regex.match(line)
if resultLine:
# FIXME: Store the unit
results[self.test_name() + ':' + resultLine.group('name').replace(' ', '')] = float(resultLine.group('value'))
_log.info(line)
elif not len(line) == 0:
test_failed = True
_log.error(line)
return results if results and not test_failed else None
class PageLoadingPerfTest(PerfTest):
def __init__(self, test_name, path_or_url):
super(PageLoadingPerfTest, self).__init__(test_name, path_or_url)
def run(self, driver, timeout_ms):
test_times = []
for i in range(0, 20):
output = driver.run_test(DriverInput(self.path_or_url(), timeout_ms, None, False))
if self.run_failed(output):
return None
if i == 0:
continue
test_times.append(output.test_time * 1000)
test_times = sorted(test_times)
# Compute the mean and variance using a numerically stable algorithm.
squareSum = 0
mean = 0
valueSum = sum(test_times)
for i, time in enumerate(test_times):
delta = time - mean
sweep = i + 1.0
mean += delta / sweep
squareSum += delta * delta * (i / sweep)
middle = int(len(test_times) / 2)
results = {'avg': mean,
'min': min(test_times),
'max': max(test_times),
'median': test_times[middle] if len(test_times) % 2 else (test_times[middle - 1] + test_times[middle]) / 2,
'stdev': math.sqrt(squareSum),
'unit': 'ms'}
self.output_statistics(self.test_name(), results)
return {self.test_name(): results}
class PerfTestFactory(object):
_pattern_map = [
(re.compile('^inspector/'), ChromiumStylePerfTest),
(re.compile('^PageLoad/'), PageLoadingPerfTest),
]
@classmethod
def create_perf_test(cls, test_name, path):
for (pattern, test_class) in cls._pattern_map:
if pattern.match(test_name):
return test_class(test_name, path)
return PerfTest(test_name, path)
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