Add script for benchmarking with --runtime-call-stats

tools/runtime-call-stats.py

+#!/usr/bin/env python
+# Copyright 2016 the V8 project authors. All rights reserved.
+# Use of this source code is governed by a BSD-style license that can be
+# found in the LICENSE file.
+'''
+Usage: runtime-call-stats.py [-h] <command> ...
+
+Optional arguments:
+  -h, --help  show this help message and exit
+
+Commands:
+  run         run chrome with --runtime-call-stats and generate logs
+  stats       process logs and print statistics
+  json        process logs from several versions and generate JSON
+  help        help information
+
+For each command, you can try ./runtime-call-stats.py help command.
+'''
+
+import argparse
+import json
+import os
+import re
+import shutil
+import subprocess
+import sys
+import tempfile
+
+import numpy
+import scipy
+import scipy.stats
+from math import sqrt
+
+
+# Run benchmarks.
+
+DEFAULT_SITES = [
+    # top websites (http://alexa.com/topsites): --------------------
+    "www.google.de/search?q=v8",
+    "www.youtube.com",
+    "www.facebook.com/shakira",
+    "www.baidu.com/s?wd=v8",
+    "www.yahoo.co.jp",
+    "www.amazon.com/s/?field-keywords=v8",
+    "en.wikipedia.org/wiki/main_page",
+    "www.qq.com",
+    "www.twitter.com/taylorswift13",
+    "www.reddit.com",
+    "www.ebay.com/sch/i.html?_nkw=v8",
+    "edition.cnn.com",
+    "world.taobao.com",
+    "www.instagram.com/archdigest",
+    "www.linkedin.com/pub/dir/?first=john&last=doe&search=search",
+    "www.msn.com/ar-ae",
+    "www.bing.com/search?q=v8+engine",
+    "www.pinterest.com/categories/popular/",
+    "www.sina.com.cn",
+    "weibo.com",
+    "yandex.ru/search/?text=v8",
+    # framework driven decisions: -----------------------------------
+    # wikipedia content + angularjs
+    "www.wikiwand.com/en/hill",
+    # ember website
+    "meta.discourse.org/",
+    # backbone js
+    "reddit.musicplayer.io",
+    # gwt application
+    "inbox.google.com",
+    # webgl
+    "www.google.de/maps/search/restaurant"
+]
+
+def run_site(site, domain, args):
+  result_template = "{domain}#{count}.txt" if args.repeat else "{domain}.txt"
+  count = 0
+  while count == 0 or args.repeat is not None and count < args.repeat:
+    count += 1
+    result = result_template.format(domain=domain, count=count)
+    retries = 0
+    while args.retries is None or retries < args.retries:
+      retries += 1
+      try:
+        temp_user_data_dir = args.user_data_dir is None
+        if temp_user_data_dir:
+          user_data_dir = tempfile.mkdtemp(prefix="chr_")
+        js_flags = "--runtime-call-stats"
+        if args.js_flags: js_flags += " " + args.js_flags
+        chrome_flags = [
+            "--disk-cache-size=1",

[nickie, 2016/04/27 12:22:16]

I'm removing this option, as some websites do not load properly with it.
I'm adding --no-default-browser-check and --disable-translate.
I'm also adding a generic --chrome-flags option to the run command.

+            "--single-process",
+            "--no-sandbox",
+            "--js-flags={}".format(js_flags),
+            "--no-first-run",
+            "--user-data-dir={}".format(user_data_dir)
+        ]
+        cmd_args = [
+            "timeout", str(args.timeout),
+            args.with_chrome
+        ] + chrome_flags + [ site ]
+        def fix_for_printing(arg):
+          m = re.match(r'^--([^=]+)=(.*)$', arg)
+          if m and (' ' in m.group(2) or m.group(2).startswith('-')):
+            arg = "--{}='{}'".format(m.group(1), m.group(2))
+          elif ' ' in arg:
+            arg = "'{}'".format(arg)
+          return arg
+        print " ".join(map(fix_for_printing, cmd_args))
+        print "- " * 40
+        with open(result, "wt") as f:
+          status = subprocess.call(cmd_args, stdout=f)
+        # 124 means timeout killed chrome, 0 means the user was bored first!
+        # If none of these two happened, then chrome apparently crashed, so
+        # it must be called again.
+        if status != 124 and status != 0: continue
+        # If the stats file is empty, chrome must be called again.
+        if os.path.isfile(result) and os.path.getsize(result) > 0:
+          if args.print_url:
+            with open(result, "at") as f:
+              print >> f
+              print >> f, "URL: {}".format(site)
+          break
+      finally:
+        if temp_user_data_dir:
+          shutil.rmtree(user_data_dir)
+
+def do_run(args):
+  # Determine the websites to benchmark.
+  if args.sites_file:
+    sites = []
+    try:
+      with open(args.sites_file, "rt") as f:
+        for line in f:
+          line = line.strip()
+          if not line or line.startswith('#'): continue
+          sites.append(line)
+    except IOError as e:
+      args.error("Cannot read from {}. {}.".format(args.sites_file, e.strerror))
+      sys.exit(1)
+  elif args.sites:
+    sites = args.sites
+  else:
+    sites = DEFAULT_SITES
+  # Disambiguate domains, if needed.
+  L = []
+  domains = {}
+  for site in sites:
+    m = re.match(r'^(https?://)?([^/]+)(/.*)?$', site)
+    if not m:
+      args.error("Invalid URL {}.".format(site))
+      continue
+    domain = m.group(2)
+    entry = [site, domain, None]
+    if domain not in domains:
+      domains[domain] = entry
+    else:
+      if not isinstance(domains[domain], int):
+        domains[domain][2] = 1
+        domains[domain] = 1
+      domains[domain] += 1
+      entry[2] = domains[domain]
+    L.append(entry)
+  # Run them.
+  for site, domain, count in L:
+    if count is not None: domain = "{}%{}".format(domain, count)
+    print site, domain
+    run_site(site, domain, args)
+
+
+# Calculate statistics.
+
+def statistics(data):
+  N = len(data)
+  average = numpy.average(data)
+  median = numpy.median(data)
+  low = numpy.min(data)
+  high= numpy.max(data)
+  if N > 1:
+    # evaluate sample variance by setting delta degrees of freedom (ddof) to
+    # 1. The degree used in calculations is N - ddof
+    stddev = numpy.std(data, ddof=1)
+    # Get the endpoints of the range that contains 95% of the distribution
+    t_bounds = scipy.stats.t.interval(0.95, N-1)
+    #assert abs(t_bounds[0] + t_bounds[1]) < 1e-6
+    # sum mean to the confidence interval
+    ci = {
+        'abs': t_bounds[1] * stddev / sqrt(N),
+        'low': average + t_bounds[0] * stddev / sqrt(N),
+        'high': average + t_bounds[1] * stddev / sqrt(N)
+    }
+  else:
+    stddev = 0
+    ci = { 'abs': 0, 'low': average, 'high': average }
+  if abs(stddev) > 0.0001 and abs(average) > 0.0001:
+    ci['perc'] = t_bounds[1] * stddev / sqrt(N) / average * 100
+  else:
+    ci['perc'] = 0
+  return { 'samples': N, 'average': average, 'median': median,
+           'stddev': stddev, 'min': low, 'max': high, 'ci': ci }
+
+def read_stats(path, S):
+  with open(path, "rt") as f:
+    # Process the whole file and sum repeating entries.
+    D = { 'Sum': {'time': 0, 'count': 0} }
+    for line in f:
+      line = line.strip()
+      # Discard headers and footers.
+      if not line: continue
+      if line.startswith("Runtime Function"): continue
+      if line.startswith("===="): continue
+      if line.startswith("----"): continue
+      if line.startswith("URL:"): continue
+      # We have a regular line.
+      fields = line.split()
+      key = fields[0]
+      time = float(fields[1].replace("ms", ""))
+      count = int(fields[3])
+      if key not in D: D[key] = { 'time': 0, 'count': 0 }
+      D[key]['time'] += time
+      D[key]['count'] += count
+      # We calculate the sum, if it's not the "total" line.
+      if key != "Total":
+        D['Sum']['time'] += time
+        D['Sum']['count'] += count
+    # Append the sums as single entries to S.
+    for key in D:
+      if key not in S: S[key] = { 'time_list': [], 'count_list': [] }
+      S[key]['time_list'].append(D[key]['time'])
+      S[key]['count_list'].append(D[key]['count'])
+
+def print_stats(S, args):
+  # Sort by ascending/descending time average, then by ascending/descending
+  # count average, then by ascending name.
+  def sort_asc_func(item):
+    return (item[1]['time_stat']['average'],
+            item[1]['count_stat']['average'],
+            item[0])
+  def sort_desc_func(item):
+    return (-item[1]['time_stat']['average'],
+            -item[1]['count_stat']['average'],
+            item[0])
+  # Sorting order is in the commend-line arguments.
+  sort_func = sort_asc_func if args.sort == "asc" else sort_desc_func
+  # Possibly limit how many elements to print.
+  L = [item for item in sorted(S.items(), key=sort_func)
+       if item[0] not in ["Total", "Sum"]]
+  N = len(L)
+  if args.limit == 0:
+    low, high = 0, N
+  elif args.sort == "desc":
+    low, high = 0, args.limit
+  else:
+    low, high = N-args.limit, N
+  # How to print entries.
+  def print_entry(key, value):
+    def stats(s, units=""):
+      conf = "{:0.1f}({:0.2f}%)".format(s['ci']['abs'], s['ci']['perc'])
+      return "{:8.1f}{} +/- {:15s}".format(s['average'], units, conf)
+    print "{:>50s}  {}  {}".format(
+      key,
+      stats(value['time_stat'], units="ms"),
+      stats(value['count_stat'])
+    )
+  # Print and calculate partial sums, if necessary.
+  for i in range(low, high):
+    print_entry(*L[i])
+    if args.totals and args.limit != 0:
+      if i == low:
+        partial = { 'time_list': [0] * len(L[i][1]['time_list']),
+                    'count_list': [0] * len(L[i][1]['count_list']) }
+      assert len(partial['time_list']) == len(L[i][1]['time_list'])
+      assert len(partial['count_list']) == len(L[i][1]['count_list'])
+      for j, v in enumerate(L[i][1]['time_list']):
+        partial['time_list'][j] += v
+      for j, v in enumerate(L[i][1]['count_list']):
+        partial['count_list'][j] += v
+  # Print totals, if necessary.
+  if args.totals:
+    print '-' * 80
+    if args.limit != 0:
+      partial['time_stat'] = statistics(partial['time_list'])
+      partial['count_stat'] = statistics(partial['count_list'])
+      print_entry("Partial", partial)
+    print_entry("Sum", S["Sum"])
+    print_entry("Total", S["Total"])
+
+def do_stats(args):
+  T = {}
+  for path in args.logfiles:
+    filename = os.path.basename(path)
+    m = re.match(r'^([^#]+)(#.*)?$', filename)
+    domain = m.group(1)
+    if domain not in T: T[domain] = {}
+    read_stats(path, T[domain])
+  for i, domain in enumerate(sorted(T)):
+    if len(T) > 1:
+      if i > 0: print
+      print "{}:".format(domain)
+      print '=' * 80
+    S = T[domain]
+    for key in S:
+      S[key]['time_stat'] = statistics(S[key]['time_list'])
+      S[key]['count_stat'] = statistics(S[key]['count_list'])
+    print_stats(S, args)
+
+
+# Generate JSON file.
+
+def do_json(args):
+  J = {}
+  for path in args.logdirs:
+    if os.path.isdir(path):
+      for root, dirs, files in os.walk(path):
+        version = os.path.basename(root)
+        if version not in J: J[version] = {}
+        for filename in files:
+          if filename.endswith(".txt"):
+            m = re.match(r'^([^#]+)(#.*)?$', filename)
+            domain = m.group(1)
+            if domain not in J[version]: J[version][domain] = {}
+            read_stats(os.path.join(root, filename), J[version][domain])
+  for version, T in J.items():
+    for domain, S in T.items():
+      A = []
+      for name, value in S.items():
+        # We don't want the calculated sum in the JSON file.
+        if name == "Sum": continue
+        entry = [name]
+        for x in ['time_list', 'count_list']:
+          s = statistics(S[name][x])
+          entry.append(round(s['average'], 1))
+          entry.append(round(s['ci']['abs'], 1))
+          entry.append(round(s['ci']['perc'], 2))
+        A.append(entry)
+      T[domain] = A
+  print json.dumps(J, separators=(',', ':'))
+
+
+# Help.
+
+def do_help(parser, subparsers, args):
+  if args.help_cmd:
+    if args.help_cmd in subparsers:
+      subparsers[args.help_cmd].print_help()
+    else:
+      args.error("Unknown command '{}'".format(args.help_cmd))
+  else:
+    parser.print_help()
+
+
+# Main program, parse command line and execute.
+
+def main():
+  parser = argparse.ArgumentParser()
+  subparser_adder = parser.add_subparsers(title="commands", dest="command",
+                                          metavar="<command>")
+  subparsers = {}
+  # Command: run.
+  subparsers["run"] = subparser_adder.add_parser(
+      "run", help="run --help")
+  subparsers["run"].set_defaults(
+      func=do_run, error=subparsers["run"].error)
+  subparsers["run"].add_argument(
+      "--js-flags", type=str, default="",
+      help="specify additional V8 flags")
+  subparsers["run"].add_argument(
+      "--no-url", dest="print_url", action="store_false", default=True,
+      help="do not include url in statistics file")
+  subparsers["run"].add_argument(
+      "-n", "--repeat", type=int, metavar="<num>",
+      help="specify iterations for each website (default: once)")
+  subparsers["run"].add_argument(
+      "-r", "--retries", type=int, metavar="<num>",
+      help="specify retries if website is down (default: forever)")
+  subparsers["run"].add_argument(
+      "-f", "--sites-file", type=str, metavar="<path>",
+      help="specify file containing benchmark websites")
+  subparsers["run"].add_argument(
+      "-t", "--timeout", type=int, metavar="<seconds>", default=60,
+      help="specify seconds before chrome is killed")
+  subparsers["run"].add_argument(
+      "-u", "--user-data-dir", type=str, metavar="<path>",
+      help="specify user data dir (default is temporary)")
+  subparsers["run"].add_argument(
+      "-c", "--with-chrome", type=str, metavar="<path>",
+      default="/usr/bin/google-chrome",
+      help="specify chrome executable to use")
+  subparsers["run"].add_argument(
+      "sites", type=str, metavar="<URL>", nargs="*",
+      help="specify benchmark website")
+  # Command: stats.
+  subparsers["stats"] = subparser_adder.add_parser(
+      "stats", help="stats --help")
+  subparsers["stats"].set_defaults(
+      func=do_stats, error=subparsers["stats"].error)
+  subparsers["stats"].add_argument(
+      "-l", "--limit", type=int, metavar="<num>", default=0,
+      help="limit how many items to print (default: none)")
+  subparsers["stats"].add_argument(
+      "-s", "--sort", choices=["asc", "desc"], default="asc",
+      help="specify sorting order (default: ascending)")
+  subparsers["stats"].add_argument(
+      "-n", "--no-total", dest="totals", action="store_false", default=True,
+      help="do not print totals")
+  subparsers["stats"].add_argument(
+      "logfiles", type=str, metavar="<logfile>", nargs="*",
+      help="specify log files to parse")
+  # Command: json.
+  subparsers["json"] = subparser_adder.add_parser(
+      "json", help="json --help")
+  subparsers["json"].set_defaults(
+      func=do_json, error=subparsers["json"].error)
+  subparsers["json"].add_argument(
+      "logdirs", type=str, metavar="<logdir>", nargs="*",
+      help="specify directories with log files to parse")
+  # Command: help.
+  subparsers["help"] = subparser_adder.add_parser(
+      "help", help="help information")
+  subparsers["help"].set_defaults(
+      func=lambda args: do_help(parser, subparsers, args),
+      error=subparsers["help"].error)
+  subparsers["help"].add_argument(
+      "help_cmd", type=str, metavar="<command>", nargs="?",
+      help="command for which to display help")
+  # Execute the command.
+  args = parser.parse_args()
+  if args.command == "run" and args.sites_file and args.sites:
+    args.error("if --sites-file is used, no site URLS must be given")
+    sys.exit(1)
+  else:
+    args.func(args)
+
+if __name__ == "__main__":
+  sys.exit(main())