moz-skia/bench/check_bench_regressions.py

237 строки
7.9 KiB
Python

'''
Created on May 16, 2011
@author: bungeman
'''
import bench_util
import getopt
import httplib
import itertools
import json
import os
import re
import sys
import urllib
import urllib2
import xml.sax.saxutils
# Maximum expected number of characters we expect in an svn revision.
MAX_SVN_REV_LENGTH = 5
# Indices for getting elements from bench expectation files.
# See bench_expectations_<builder>.txt for details.
EXPECTED_IDX = -3
LB_IDX = -2
UB_IDX = -1
# Indices of the tuple of dictionaries containing slower and faster alerts.
SLOWER = 0
FASTER = 1
def usage():
"""Prints simple usage information."""
print '-a <representation_alg> bench representation algorithm to use. '
print ' Defaults to "25th". See bench_util.py for details.'
print '-b <builder> name of the builder whose bench data we are checking.'
print '-d <dir> a directory containing bench_<revision>_<scalar> files.'
print '-e <file> file containing expected bench builder values/ranges.'
print ' Will raise exception if actual bench values are out of range.'
print ' See bench_expectations_<builder>.txt for data format / examples.'
print '-r <revision> the git commit hash or svn revision for checking '
print ' bench values.'
class Label:
"""The information in a label.
(str, str, str, str, {str:str})"""
def __init__(self, bench, config, time_type, settings):
self.bench = bench
self.config = config
self.time_type = time_type
self.settings = settings
def __repr__(self):
return "Label(%s, %s, %s, %s)" % (
str(self.bench),
str(self.config),
str(self.time_type),
str(self.settings),
)
def __str__(self):
return "%s_%s_%s_%s" % (
str(self.bench),
str(self.config),
str(self.time_type),
str(self.settings),
)
def __eq__(self, other):
return (self.bench == other.bench and
self.config == other.config and
self.time_type == other.time_type and
self.settings == other.settings)
def __hash__(self):
return (hash(self.bench) ^
hash(self.config) ^
hash(self.time_type) ^
hash(frozenset(self.settings.iteritems())))
def create_bench_dict(revision_data_points):
"""Convert current revision data into a dictionary of line data.
Args:
revision_data_points: a list of bench data points
Returns:
a dictionary of this form:
keys = Label objects
values = the corresponding bench value
"""
bench_dict = {}
for point in revision_data_points:
point_name = Label(point.bench,point.config,point.time_type,
point.settings)
if point_name not in bench_dict:
bench_dict[point_name] = point.time
else:
raise Exception('Duplicate expectation entry: ' + str(point_name))
return bench_dict
def read_expectations(expectations, filename):
"""Reads expectations data from file and put in expectations dict."""
for expectation in open(filename).readlines():
elements = expectation.strip().split(',')
if not elements[0] or elements[0].startswith('#'):
continue
if len(elements) != 5:
raise Exception("Invalid expectation line format: %s" %
expectation)
bench_entry = elements[0] + ',' + elements[1]
if bench_entry in expectations:
raise Exception("Dup entries for bench expectation %s" %
bench_entry)
# [<Bench_BmpConfig_TimeType>,<Platform-Alg>] -> (LB, UB, EXPECTED)
expectations[bench_entry] = (float(elements[LB_IDX]),
float(elements[UB_IDX]),
float(elements[EXPECTED_IDX]))
def check_expectations(lines, expectations, key_suffix):
"""Check if any bench results are outside of expected range.
For each input line in lines, checks the expectations dictionary to see if
the bench is out of the given range.
Args:
lines: dictionary mapping Label objects to the bench values.
expectations: dictionary returned by read_expectations().
key_suffix: string of <Platform>-<Alg> containing the bot platform and the
bench representation algorithm.
Returns:
No return value.
Raises:
Exception containing bench data that are out of range, if any.
"""
# The platform for this bot, to pass to the dashboard plot.
platform = key_suffix[ : key_suffix.rfind('-')]
# Tuple of dictionaries recording exceptions that are slower and faster,
# respectively. Each dictionary maps off_ratio (ratio of actual to expected)
# to a list of corresponding exception messages.
exceptions = ({}, {})
for line in lines:
line_str = str(line)
line_str = line_str[ : line_str.find('_{')]
bench_platform_key = line_str + ',' + key_suffix
if bench_platform_key not in expectations:
continue
this_bench_value = lines[line]
this_min, this_max, this_expected = expectations[bench_platform_key]
if this_bench_value < this_min or this_bench_value > this_max:
off_ratio = this_bench_value / this_expected
exception = 'Bench %s out of range [%s, %s] (%s vs %s, %s%%).' % (
bench_platform_key, this_min, this_max, this_bench_value,
this_expected, (off_ratio - 1) * 100)
if off_ratio > 1: # Bench is slower.
exceptions[SLOWER].setdefault(off_ratio, []).append(exception)
else:
exceptions[FASTER].setdefault(off_ratio, []).append(exception)
outputs = []
for i in [SLOWER, FASTER]:
if exceptions[i]:
ratios = exceptions[i].keys()
ratios.sort(reverse=True)
li = []
for ratio in ratios:
li.extend(exceptions[i][ratio])
header = '%s benches got slower (sorted by %% difference):' % len(li)
if i == FASTER:
header = header.replace('slower', 'faster')
outputs.extend(['', header] + li)
if outputs:
# Directly raising Exception will have stderr outputs tied to the line
# number of the script, so use sys.stderr.write() instead.
# Add a trailing newline to supress new line checking errors.
sys.stderr.write('\n'.join(['Exception:'] + outputs + ['\n']))
exit(1)
def main():
"""Parses command line and checks bench expectations."""
try:
opts, _ = getopt.getopt(sys.argv[1:],
"a:b:d:e:r:",
"default-setting=")
except getopt.GetoptError, err:
print str(err)
usage()
sys.exit(2)
directory = None
bench_expectations = {}
rep = '25th' # bench representation algorithm, default to 25th
rev = None # git commit hash or svn revision number
bot = None
try:
for option, value in opts:
if option == "-a":
rep = value
elif option == "-b":
bot = value
elif option == "-d":
directory = value
elif option == "-e":
read_expectations(bench_expectations, value)
elif option == "-r":
rev = value
else:
usage()
assert False, "unhandled option"
except ValueError:
usage()
sys.exit(2)
if directory is None or bot is None or rev is None:
usage()
sys.exit(2)
platform_and_alg = bot + '-' + rep
data_points = bench_util.parse_skp_bench_data(directory, rev, rep)
bench_dict = create_bench_dict(data_points)
if bench_expectations:
check_expectations(bench_dict, bench_expectations, platform_and_alg)
if __name__ == "__main__":
main()