blob: 997be97cabbe0f16f24afa0e01b5135eb2d41c18 [file] [log] [blame]
#!/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.
# For instructions see:
# http://www.chromium.org/developers/tree-sheriffs/perf-sheriffs
import hashlib
import math
import optparse
import os
import re
import subprocess
import sys
import time
import urllib2
try:
import json
except ImportError:
import simplejson as json
__version__ = '1.0'
EXPECTATIONS_DIR = os.path.dirname(os.path.abspath(__file__))
DEFAULT_CONFIG_FILE = os.path.join(EXPECTATIONS_DIR,
'chromium_perf_expectations.cfg')
DEFAULT_TOLERANCE = 0.05
USAGE = ''
def ReadFile(filename):
try:
file = open(filename, 'r')
except IOError, e:
print >> sys.stderr, ('I/O Error reading file %s(%s): %s' %
(filename, e.errno, e.strerror))
raise e
contents = file.read()
file.close()
return contents
def ConvertJsonIntoDict(string):
"""Read a JSON string and convert its contents into a Python datatype."""
if len(string) == 0:
print >> sys.stderr, ('Error could not parse empty string')
raise Exception('JSON data missing')
try:
jsondata = json.loads(string)
except ValueError, e:
print >> sys.stderr, ('Error parsing string: "%s"' % string)
raise e
return jsondata
# Floating point representation of last time we fetched a URL.
last_fetched_at = None
def FetchUrlContents(url):
global last_fetched_at
if last_fetched_at and ((time.time() - last_fetched_at) <= 0.5):
# Sleep for half a second to avoid overloading the server.
time.sleep(0.5)
try:
last_fetched_at = time.time()
connection = urllib2.urlopen(url)
except urllib2.HTTPError, e:
if e.code == 404:
return None
raise e
text = connection.read().strip()
connection.close()
return text
def GetRowData(data, key):
rowdata = []
# reva and revb always come first.
for subkey in ['reva', 'revb']:
if subkey in data[key]:
rowdata.append('"%s": %s' % (subkey, data[key][subkey]))
# Strings, like type, come next.
for subkey in ['type', 'better']:
if subkey in data[key]:
rowdata.append('"%s": "%s"' % (subkey, data[key][subkey]))
# Finally the main numbers come last.
for subkey in ['improve', 'regress', 'tolerance']:
if subkey in data[key]:
rowdata.append('"%s": %s' % (subkey, data[key][subkey]))
return rowdata
def GetRowDigest(rowdata, key):
sha1 = hashlib.sha1()
rowdata = [str(possibly_unicode_string).encode('ascii')
for possibly_unicode_string in rowdata]
sha1.update(str(rowdata) + key)
return sha1.hexdigest()[0:8]
def WriteJson(filename, data, keys):
"""Write a list of |keys| in |data| to the file specified in |filename|."""
try:
file = open(filename, 'w')
except IOError, e:
print >> sys.stderr, ('I/O Error writing file %s(%s): %s' %
(filename, e.errno, e.strerror))
return False
jsondata = []
for key in keys:
rowdata = GetRowData(data, key)
# Include an updated checksum.
rowdata.append('"sha1": "%s"' % GetRowDigest(rowdata, key))
jsondata.append('"%s": {%s}' % (key, ', '.join(rowdata)))
jsondata.append('"load": true')
jsontext = '{%s\n}' % ',\n '.join(jsondata)
file.write(jsontext + '\n')
file.close()
return True
def FloatIsInt(f):
epsilon = 1.0e-10
return abs(f - int(f)) <= epsilon
last_key_printed = None
def Main(args):
def OutputMessage(message, verbose_message=True):
global last_key_printed
if not options.verbose and verbose_message:
return
if key != last_key_printed:
last_key_printed = key
print '\n' + key + ':'
print ' %s' % message
parser = optparse.OptionParser(usage=USAGE, version=__version__)
parser.add_option('-v', '--verbose', action='store_true', default=False,
help='enable verbose output')
parser.add_option('-s', '--checksum', action='store_true',
help='test if any changes are pending')
parser.add_option('-c', '--config', dest='config_file',
default=DEFAULT_CONFIG_FILE,
help='set the config file to FILE', metavar='FILE')
options, args = parser.parse_args(args)
if options.verbose:
print 'Verbose output enabled.'
config = ConvertJsonIntoDict(ReadFile(options.config_file))
# Get the list of summaries for a test.
base_url = config['base_url']
# Make the perf expectations file relative to the path of the config file.
perf_file = os.path.join(
os.path.dirname(options.config_file), config['perf_file'])
perf = ConvertJsonIntoDict(ReadFile(perf_file))
# Fetch graphs.dat for this combination.
perfkeys = perf.keys()
# In perf_expectations.json, ignore the 'load' key.
perfkeys.remove('load')
perfkeys.sort()
write_new_expectations = False
found_checksum_mismatch = False
for key in perfkeys:
value = perf[key]
tolerance = value.get('tolerance', DEFAULT_TOLERANCE)
better = value.get('better', None)
# Verify the checksum.
original_checksum = value.get('sha1', '')
if 'sha1' in value:
del value['sha1']
rowdata = GetRowData(perf, key)
computed_checksum = GetRowDigest(rowdata, key)
if original_checksum == computed_checksum:
OutputMessage('checksum matches, skipping')
continue
elif options.checksum:
found_checksum_mismatch = True
continue
# Skip expectations that are missing a reva or revb. We can't generate
# expectations for those.
if not(value.has_key('reva') and value.has_key('revb')):
OutputMessage('missing revision range, skipping')
continue
revb = int(value['revb'])
reva = int(value['reva'])
# Ensure that reva is less than revb.
if reva > revb:
temp = reva
reva = revb
revb = temp
# Get the system/test/graph/tracename and reftracename for the current key.
matchData = re.match(r'^([^/]+)\/([^/]+)\/([^/]+)\/([^/]+)$', key)
if not matchData:
OutputMessage('cannot parse key, skipping')
continue
system = matchData.group(1)
test = matchData.group(2)
graph = matchData.group(3)
tracename = matchData.group(4)
reftracename = tracename + '_ref'
# Create the summary_url and get the json data for that URL.
# FetchUrlContents() may sleep to avoid overloading the server with
# requests.
summary_url = '%s/%s/%s/%s-summary.dat' % (base_url, system, test, graph)
summaryjson = FetchUrlContents(summary_url)
if not summaryjson:
OutputMessage('ERROR: cannot find json data, please verify',
verbose_message=False)
return 0
# Set value's type to 'relative' by default.
value_type = value.get('type', 'relative')
summarylist = summaryjson.split('\n')
trace_values = {}
traces = [tracename]
if value_type == 'relative':
traces += [reftracename]
for trace in traces:
trace_values.setdefault(trace, {})
# Find the high and low values for each of the traces.
scanning = False
for line in summarylist:
jsondata = ConvertJsonIntoDict(line)
if int(jsondata['rev']) <= revb:
scanning = True
if int(jsondata['rev']) < reva:
break
# We found the upper revision in the range. Scan for trace data until we
# find the lower revision in the range.
if scanning:
for trace in traces:
if trace not in jsondata['traces']:
OutputMessage('trace %s missing' % trace)
continue
if type(jsondata['traces'][trace]) != type([]):
OutputMessage('trace %s format not recognized' % trace)
continue
try:
tracevalue = float(jsondata['traces'][trace][0])
except ValueError:
OutputMessage('trace %s value error: %s' % (
trace, str(jsondata['traces'][trace][0])))
continue
for bound in ['high', 'low']:
trace_values[trace].setdefault(bound, tracevalue)
trace_values[trace]['high'] = max(trace_values[trace]['high'],
tracevalue)
trace_values[trace]['low'] = min(trace_values[trace]['low'],
tracevalue)
if 'high' not in trace_values[tracename]:
OutputMessage('no suitable traces matched, skipping')
continue
if value_type == 'relative':
# Calculate assuming high deltas are regressions and low deltas are
# improvements.
regress = (float(trace_values[tracename]['high']) -
float(trace_values[reftracename]['low']))
improve = (float(trace_values[tracename]['low']) -
float(trace_values[reftracename]['high']))
elif value_type == 'absolute':
# Calculate assuming high absolutes are regressions and low absolutes are
# improvements.
regress = float(trace_values[tracename]['high'])
improve = float(trace_values[tracename]['low'])
# So far we've assumed better is lower (regress > improve). If the actual
# values for regress and improve are equal, though, and better was not
# specified, alert the user so we don't let them create a new file with
# ambiguous rules.
if better == None and regress == improve:
OutputMessage('regress (%s) is equal to improve (%s), and "better" is '
'unspecified, please fix by setting "better": "lower" or '
'"better": "higher" in this perf trace\'s expectation' % (
regress, improve), verbose_message=False)
return 1
# If the existing values assume regressions are low deltas relative to
# improvements, swap our regress and improve. This value must be a
# scores-like result.
if 'regress' in perf[key] and 'improve' in perf[key]:
if perf[key]['regress'] < perf[key]['improve']:
assert(better != 'lower')
better = 'higher'
temp = regress
regress = improve
improve = temp
else:
# Sometimes values are equal, e.g., when they are both 0,
# 'better' may still be set to 'higher'.
assert(better != 'higher' or
perf[key]['regress'] == perf[key]['improve'])
better = 'lower'
# If both were ints keep as int, otherwise use the float version.
originally_ints = False
if FloatIsInt(regress) and FloatIsInt(improve):
originally_ints = True
if better == 'higher':
if originally_ints:
regress = int(math.floor(regress - abs(regress*tolerance)))
improve = int(math.ceil(improve + abs(improve*tolerance)))
else:
regress = regress - abs(regress*tolerance)
improve = improve + abs(improve*tolerance)
else:
if originally_ints:
improve = int(math.floor(improve - abs(improve*tolerance)))
regress = int(math.ceil(regress + abs(regress*tolerance)))
else:
improve = improve - abs(improve*tolerance)
regress = regress + abs(regress*tolerance)
# Calculate the new checksum to test if this is the only thing that may have
# changed.
checksum_rowdata = GetRowData(perf, key)
new_checksum = GetRowDigest(checksum_rowdata, key)
if ('regress' in perf[key] and 'improve' in perf[key] and
perf[key]['regress'] == regress and perf[key]['improve'] == improve and
original_checksum == new_checksum):
OutputMessage('no change')
continue
write_new_expectations = True
OutputMessage('traces: %s' % trace_values, verbose_message=False)
OutputMessage('before: %s' % perf[key], verbose_message=False)
perf[key]['regress'] = regress
perf[key]['improve'] = improve
OutputMessage('after: %s' % perf[key], verbose_message=False)
if options.checksum:
if found_checksum_mismatch:
return 1
else:
return 0
if write_new_expectations:
print '\nWriting expectations... ',
WriteJson(perf_file, perf, perfkeys)
print 'done'
else:
if options.verbose:
print ''
print 'No changes.'
return 0
if __name__ == '__main__':
sys.exit(Main(sys.argv))