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#!/usr/bin/env python
# Copyright (c) 2012 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.
""" Analyze recent bench data from graphs, and output suggested ranges.
This script reads and parses Skia benchmark values from the xhtml files
generated by bench_graph_svg.py, and outputs an html file containing suggested
bench ranges to use in bench_expectations.txt, with analytical plots.
"""
__author__ = 'bensong@google.com (Ben Chen)'
import getopt
import math
import re
import sys
import urllib
from datetime import datetime
# Constants for calculating suggested bench ranges.
WINDOW = 5 # Moving average sliding window size.
# We use moving average as expected bench value, and calculate average Variance
# of bench from the moving average. Set range to be [X_UB * Variance above
# moving average, X_LB * Variance below moving average] of latest revision.
X_UB = 4.0
X_LB = 5.0
# List of platforms.
PLATFORMS = ['GalaxyNexus_4-1_Float_Release',
'Mac_Float_NoDebug_32',
'Mac_Float_NoDebug_64',
'MacMiniLion_Float_NoDebug_32',
'MacMiniLion_Float_NoDebug_64',
'Nexus7_4-1_Float_Release',
'Shuttle_Ubuntu12_ATI5770_Float_Release_64',
'Shuttle_Win7_Intel_Float_Release_32',
'Shuttle_Win7_Intel_Float_Release_64',
'Xoom_4-1_Float_Release'
]
# List of bench representation algorithms. Flag "-a" is chosen from the list.
ALGS = ['25th', 'avg', 'med', 'min']
# Regular expressions for parsing bench/revision values.
HEIGHT_RE = 'height (\d+\.\d+) corresponds to bench value (\d+\.\d+).-->'
REV_RE = '<rect id="(\d+)" x="(\d+\.\d+)" y="' # Revision corresponding x.
LINE_RE = '<polyline id="(.*)".*points="(.*)"/>' # Bench value lines.
# Bench graph url pattern.
INPUT_URL_TEMPLATE = ('http://chromium-skia-gm.commondatastorage.googleapis.com'
'/graph-Skia_%s-2.xhtml')
# Output HTML elements and templates.
HTML_HEAD = ('<html><head><title>Skia Bench Expected Ranges</title>'
'<script type="text/javascript" src="https://skia.googlecode.com/'
'svn/buildbot/dygraph-combined.js"></script></head><body>Please '
'adjust values as appropriate and update benches to monitor in '
'bench/bench_expectations.txt.<br><br>')
HTML_SUFFIX = '</body></html>'
GRAPH_PREFIX = ('<br>%s<br><div id="%s" style="width:400px;height:200px"></div>'
'<script type="text/javascript">g%s=new Dygraph('
'document.getElementById("%s"),"rev,bench,alert\\n')
GRAPH_SUFFIX = ('",{customBars: true,"alert":{strokeWidth:0.0,drawPoints:true,'
'pointSize:4,highlightCircleSize:6}});</script>')
def Usage():
"""Prints flag usage information."""
print '-a <representation-algorithm>: defaults to "25th".'
print ' If set, must be one of the list element in ALGS defined above.'
print '-b <bench-prefix>: prefix of matching bench names to analyze.'
print ' Only include benchmarks whose names start with this string.'
print ' Cannot be empty, because there are too many benches overall.'
print '-o <file>: html output filename. Output to STDOUT if not set.'
print '-p <platform-prefix>: prefix of platform names to analyze.'
print ' PLATFORMS has list of matching candidates. Matches all if not set.'
def GetBenchValues(page, bench_prefix):
"""Returns a dict of matching bench values from the given xhtml page.
Args:
page: substring used to construct the specific bench graph URL to fetch.
bench_prefix: only benches starting with this string will be included.
Returns:
a dict mapping benchmark name and revision combinations to bench values.
"""
height = None
max_bench = None
height_scale = None
revisions = []
x_axes = [] # For calculating corresponding revisions.
val_dic = {} # dict[bench_name][revision] -> bench_value
lines = urllib.urlopen(INPUT_URL_TEMPLATE % page).readlines()
for line in lines:
height_match = re.search(HEIGHT_RE, line)
if height_match:
height = float(height_match.group(1))
max_bench = float(height_match.group(2))
height_scale = max_bench / height
rev_match = re.search(REV_RE, line)
if rev_match:
revisions.append(int(rev_match.group(1)))
x_axes.append(float(rev_match.group(2)))
line_match = re.search(LINE_RE, line)
if not line_match:
continue
bench = line_match.group(1)
bench = bench[:bench.find('_{')]
if not bench.startswith(bench_prefix):
continue
if bench not in val_dic:
val_dic[bench] = {}
vals = line_match.group(2).strip().split(' ')
if len(vals) < WINDOW: # Too few bench data points; skip.
continue
for val in vals:
x, y = [float(i) for i in val.split(',')]
for i in range(len(x_axes)):
if x <= x_axes[i]: # Found corresponding bench revision.
break
val_dic[bench][revisions[i]] = float(
'%.3f' % ((height - y) * height_scale))
return val_dic
def CreateBenchOutput(page, bench, val_dic):
"""Returns output for the given page and bench data in dict.
Args:
page: substring of bench graph webpage, to indicate the bench platform.
bench: name of the benchmark to process.
val_dic: dict[bench_name][revision] -> bench_value.
Returns:
string of html/javascript as part of the whole script output for the bench.
"""
revs = val_dic[bench].keys()
revs.sort()
# Uses moving average to calculate expected bench variance, then sets
# expectations and ranges accordingly.
variances = []
moving_avgs = []
points = []
for rev in revs:
points.append(val_dic[bench][rev])
if len(points) >= WINDOW:
moving_avgs.append(sum(points[-WINDOW:]) / WINDOW)
variances.append(abs(points[-1] - moving_avgs[-1]))
else: # For the first WINDOW-1 points, cannot calculate moving average.
moving_avgs.append(points[-1]) # Uses actual value as estimates.
variances.append(0)
if len(variances) >= WINDOW:
for i in range(WINDOW - 1):
# Backfills estimated variances for the first WINDOW-1 points.
variances[i] = variances[WINDOW - 1]
avg_var = sum(variances) / len(variances)
for val in variances: # Removes outlier variances. Only does one iter.
if val > min(X_LB, X_UB) * avg_var:
variances.remove(val)
avg_var = sum(variances) / len(variances)
graph_id = '%s_%s' % (bench, page.replace('-', '_'))
expectations = '%s,%s,%.2f,%.2f,%.2f' % (bench, page, moving_avgs[-1],
moving_avgs[-1] - X_LB * avg_var,
moving_avgs[-1] + X_UB * avg_var)
out = GRAPH_PREFIX % (expectations, graph_id, graph_id, graph_id)
for i in range(len(revs)):
out += '%s,%.2f;%.2f;%.2f,' % (revs[i], moving_avgs[i] - X_LB * avg_var,
points[i], moving_avgs[i] + X_UB * avg_var)
if (points[i] > moving_avgs[i] + X_UB * avg_var or
points[i] < moving_avgs[i] - X_LB * avg_var): # Mark as alert point.
out += '%.2f;%.2f;%.2f\\n' % (points[i], points[i], points[i])
else:
out += 'NaN;NaN;NaN\\n'
return out
def main():
"""Parses flags and outputs analysis results."""
try:
opts, _ = getopt.getopt(sys.argv[1:], 'a:b:o:p:')
except getopt.GetoptError, err:
Usage()
sys.exit(2)
alg = '25th'
bench_prefix = None
out_file = None
platform_prefix = ''
for option, value in opts:
if option == '-a':
if value not in ALGS:
raise Exception('Invalid flag -a (%s): must be set to one of %s.' %
(value, str(ALGS)))
alg = value
elif option == '-b':
bench_prefix = value
elif option == '-o':
out_file = value
elif option == '-p':
platform_prefix = value
else:
Usage()
raise Exception('Error handling flags.')
if not bench_prefix:
raise Exception('Must provide nonempty Flag -b (bench name prefix).')
pages = []
for platform in PLATFORMS:
if not platform.startswith(platform_prefix):
continue
pages.append('%s-%s' % (platform, alg))
if not pages: # No matching platform found.
raise Exception('Flag -p (platform prefix: %s) does not match any of %s.' %
(platform_prefix, str(PLATFORMS)))
body = ''
# Iterates through bench graph xhtml pages for oututting matching benches.
for page in pages:
bench_value_dict = GetBenchValues(page, bench_prefix)
for bench in bench_value_dict:
body += CreateBenchOutput(page, bench, bench_value_dict) + GRAPH_SUFFIX
if not body:
raise Exception('No bench outputs. Most likely there are no matching bench'
' prefix (%s) in Flags -b for platforms %s.\nPlease also '
'check if the bench graph URLs are valid at %s.' % (
bench_prefix, str(PLATFORMS), INPUT_URL_TEMPLATE))
if out_file:
f = open(out_file, 'w+')
f.write(HTML_HEAD + body + HTML_SUFFIX)
f.close()
else:
print HTML_HEAD + body + HTML_SUFFIX
if '__main__' == __name__:
main()
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