skia2/bench/gen_skp_ranges.py
bensong@google.com 92b0f51b9b Updates gen_skp_ranges.py on recent changes of bench names, storage locations, etc.
Sample command: bench/gen_skp_ranges.py -r 7621:7621
It is slow due to cloud storage slowness. You can download the bench logs using gsutil and set the -d flag to make it super fast.
Review URL: https://codereview.appspot.com/7307052

git-svn-id: http://skia.googlecode.com/svn/trunk@7629 2bbb7eff-a529-9590-31e7-b0007b416f81
2013-02-06 20:51:55 +00:00

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6.0 KiB
Python
Executable File

#!/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 SkPicture bench data, and output suggested ranges.
The outputs can be edited and pasted to bench_expectations.txt to trigger
buildbot alerts if the actual benches are out of range. Details are documented
in the .txt file.
Currently the easiest way to update bench_expectations.txt is to delete all skp
bench lines, run this script, and redirect outputs (">>") to be added to the
.txt file.
TODO(bensong): find a better way for updating the bench lines in place.
Note: since input data are stored in Google Storage, you will need to set up
the corresponding library.
See http://developers.google.com/storage/docs/gspythonlibrary for details.
"""
__author__ = 'bensong@google.com (Ben Chen)'
import bench_util
import boto
import cStringIO
import optparse
import re
import shutil
from oauth2_plugin import oauth2_plugin
# Ratios for calculating suggested picture bench upper and lower bounds.
BENCH_UB = 1.1 # Allow for 10% room for normal variance on the up side.
BENCH_LB = 0.85
# Further allow for a fixed amount of noise. This is especially useful for
# benches of smaller absolute value. Keeping this value small will not affect
# performance tunings.
BENCH_ALLOWED_NOISE = 10
# List of platforms to track. Feel free to change it to meet your needs.
PLATFORMS = [#'Mac_Float_Bench_32',
'Nexus10_4-1_Float_Bench_32',
#'Shuttle_Ubuntu12_ATI5770_Float_Bench_32',
]
# Filter for configs of no interest. They are old config names replaced by more
# specific ones.
CONFIGS_TO_FILTER = ['gpu', 'raster']
# Template for gsutil uri.
GOOGLE_STORAGE_URI_SCHEME = 'gs'
URI_BUCKET = 'chromium-skia-gm'
# Constants for optparse.
USAGE_STRING = 'USAGE: %s [options]'
HOWTO_STRING = """
Feel free to revise PLATFORMS for your own needs. The default is the most common
combination that we care most about. Platforms that did not run bench_pictures
in the given revision range will not have corresponding outputs.
Please check http://go/skpbench to choose a range that fits your needs.
BENCH_UB, BENCH_LB and BENCH_ALLOWED_NOISE can be changed to expand or narrow
the permitted bench ranges without triggering buidbot alerts.
"""
HELP_STRING = """
Outputs expectation picture bench ranges for the latest revisions for the given
revision range. For instance, --rev_range=6000:6000 will return only bench
ranges for the bots that ran bench_pictures at rev 6000; --rev-range=6000:7000
may have multiple bench data points for each bench configuration, and the code
returns bench data for the latest revision of all available (closer to 7000).
""" + HOWTO_STRING
OPTION_REVISION_RANGE = '--rev-range'
OPTION_REVISION_RANGE_SHORT = '-r'
# Bench bench representation algorithm flag.
OPTION_REPRESENTATION_ALG = '--algorithm'
OPTION_REPRESENTATION_ALG_SHORT = '-a'
# List of valid representation algorithms.
REPRESENTATION_ALGS = ['avg', 'min', 'med', '25th']
def OutputSkpBenchExpectations(rev_min, rev_max, representation_alg):
"""Reads skp bench data from google storage, and outputs expectations.
Ignores data with revisions outside [rev_min, rev_max] integer range. For
bench data with multiple revisions, we use higher revisions to calculate
expected bench values.
Uses the provided representation_alg for calculating bench representations.
"""
expectation_dic = {}
uri = boto.storage_uri(URI_BUCKET, GOOGLE_STORAGE_URI_SCHEME)
for obj in uri.get_bucket():
# Filters out non-skp-bench files.
if ((not obj.name.startswith('perfdata/Skia_') and
not obj.name.startswith('playback/perfdata/Skia_')) or
obj.name.find('_data_skp_') < 0):
continue
# Ignores uninterested platforms.
platform = obj.name.split('/')[1][5:] # Removes "Skia_" prefix.
if platform not in PLATFORMS:
continue
# Filters by revision.
to_filter = True
for rev in range(rev_min, rev_max + 1):
if '_r%s_' % rev in obj.name:
to_filter = False
break
if to_filter:
continue
contents = cStringIO.StringIO()
obj.get_file(contents)
for point in bench_util.parse('', contents.getvalue().split('\n'),
representation_alg):
if point.config in CONFIGS_TO_FILTER:
continue
key = '%s_%s_%s,%s-%s' % (point.bench, point.config, point.time_type,
platform, representation_alg)
# It is fine to have later revisions overwrite earlier benches, since we
# only use the latest bench within revision range to set expectations.
expectation_dic[key] = point.time
keys = expectation_dic.keys()
keys.sort()
for key in keys:
bench_val = expectation_dic[key]
# Prints out expectation lines.
print '%s,%.3f,%.3f,%.3f' % (key, bench_val,
bench_val * BENCH_LB - BENCH_ALLOWED_NOISE,
bench_val * BENCH_UB + BENCH_ALLOWED_NOISE)
def main():
"""Parses flags and outputs expected Skia picture bench results."""
parser = optparse.OptionParser(USAGE_STRING % '%prog' + HELP_STRING)
parser.add_option(OPTION_REVISION_RANGE_SHORT, OPTION_REVISION_RANGE,
dest='rev_range',
help='(Mandatory) revision range separated by ":", e.g., 6000:6005')
parser.add_option(OPTION_REPRESENTATION_ALG_SHORT, OPTION_REPRESENTATION_ALG,
dest='alg', default='25th',
help=('Bench representation algorithm. One of '
'%s. Default to "25th".' % str(REPRESENTATION_ALGS)))
(options, args) = parser.parse_args()
if options.rev_range:
range_match = re.search('(\d+)\:(\d+)', options.rev_range)
if not range_match:
parser.error('Wrong format for rev-range [%s]' % options.rev_range)
else:
rev_min = int(range_match.group(1))
rev_max = int(range_match.group(2))
OutputSkpBenchExpectations(rev_min, rev_max, options.alg)
else:
parser.error('Please provide mandatory flag %s' % OPTION_REVISION_RANGE)
if '__main__' == __name__:
main()