#!/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, calculate_sha1=True): """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) if calculate_sha1: # Include an updated checksum. rowdata.append('"sha1": "%s"' % GetRowDigest(rowdata, key)) else: if 'sha1' in data[key]: rowdata.append('"sha1": "%s"' % (data[key]['sha1'])) 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))