Final CL to kill off client/samples .

client/samples/swarm/cacheimages.py

-#!/usr/bin/env python
-# Copyright (c) 2011, the Dart project authors.  Please see the AUTHORS file
-# for details. All rights reserved. Use of this source code is governed by a
-# BSD-style license that can be found in the LICENSE file.
-'''
-This script finds all HTML pages in a folder and downloads all images, replacing
-the urls with local ones.
-'''
-import os, sys, optparse, subprocess, multiprocessing
-from os.path import abspath, basename, dirname, join
-
-SWARM_PATH = dirname(abspath(__file__))
-CLIENT_PATH = dirname(dirname(SWARM_PATH))
-CLIENT_TOOLS_PATH = join(CLIENT_PATH, 'tools')
-
-# Add the client tools directory so we can find htmlconverter.py.
-sys.path.append(CLIENT_TOOLS_PATH)
-import htmlconverter
-converter = CLIENT_TOOLS_PATH + '/htmlconverter.py'
-
-# This has to be a top level function to use with multiprocessing
-def convertImgs(infile):
-  global options
-  try:
-    htmlconverter.convertForOffline(
-        infile, infile,
-        verbose=options.verbose,
-        encode_images=options.inline_images)
-    print 'Converted ' + infile
-  except BaseException, e:
-    print 'Caught error: %s' % e
-
-def Flags():
-  """ Constructs a parser for extracting flags from the command line. """
-  parser = optparse.OptionParser()
-  parser.add_option("--inline_images",
-      help=("Encode img payloads as data:// URLs rather than local files."),
-      default=False,
-      action='store_true')
-  parser.add_option("--verbose",
-      help="Print verbose output",
-      default=False,
-      action="store_true")
-  return parser
-
-def main():
-  global options
-  parser = Flags()
-  options, args = parser.parse_args()
-  print "args: %s" % args
-  if len(args) < 1 or 'help' in args[0]:
-    print 'Usage: %s DIRECTORY' % basename(sys.argv[0])
-    return 1
-
-  dirname = args[0]
-  print 'Searching directory ' + dirname
-
-  files = []
-  for root, dirs, fnames in os.walk(dirname):
-    for fname in fnames:
-      if fname.endswith('.html'):
-        files.append(join(root, fname))
-
-  count = 4 * multiprocessing.cpu_count()
-  pool = multiprocessing.Pool(processes=count)
-  # Note: need a timeout to get keyboard interrupt due to a Python bug
-  pool.map_async(convertImgs, files).get(3600) # one hour
-
-if __name__ == '__main__':
-  main()