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Readd samples, samples-dev, tools/testing/bin, third_party removed by cleanup (no history, sorry) Add DEPS file which will replace the old all.deps and standalone.deps Add tools/deps/dartium.deps replacing the old dartium.deps (but now editable from a normal checkout) Fixup tools/utils.py to use the new archiving schema (git count for be, version number for dev/stable Fix codereview.settings
71 lines
2.2 KiB
Python
Executable file
71 lines
2.2 KiB
Python
Executable file
#!/usr/bin/env python
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# Copyright (c) 2011, the Dart project authors. Please see the AUTHORS file
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# for details. All rights reserved. Use of this source code is governed by a
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# BSD-style license that can be found in the LICENSE file.
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'''
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This script finds all HTML pages in a folder and downloads all images, replacing
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the urls with local ones.
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'''
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import os, sys, optparse, subprocess, multiprocessing
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from os.path import abspath, basename, dirname, join
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SWARM_PATH = dirname(abspath(__file__))
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CLIENT_PATH = dirname(dirname(SWARM_PATH))
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CLIENT_TOOLS_PATH = join(CLIENT_PATH, 'tools')
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# Add the client tools directory so we can find htmlconverter.py.
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sys.path.append(CLIENT_TOOLS_PATH)
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import htmlconverter
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converter = CLIENT_TOOLS_PATH + '/htmlconverter.py'
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# This has to be a top level function to use with multiprocessing
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def convertImgs(infile):
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global options
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try:
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htmlconverter.convertForOffline(
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infile, infile,
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verbose=options.verbose,
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encode_images=options.inline_images)
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print 'Converted ' + infile
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except BaseException, e:
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print 'Caught error: %s' % e
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def Flags():
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""" Constructs a parser for extracting flags from the command line. """
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parser = optparse.OptionParser()
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parser.add_option("--inline_images",
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help=("Encode img payloads as data:// URLs rather than local files."),
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default=False,
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action='store_true')
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parser.add_option("--verbose",
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help="Print verbose output",
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default=False,
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action="store_true")
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return parser
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def main():
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global options
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parser = Flags()
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options, args = parser.parse_args()
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print "args: %s" % args
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if len(args) < 1 or 'help' in args[0]:
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print 'Usage: %s DIRECTORY' % basename(sys.argv[0])
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return 1
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dirname = args[0]
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print 'Searching directory ' + dirname
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files = []
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for root, dirs, fnames in os.walk(dirname):
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for fname in fnames:
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if fname.endswith('.html'):
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files.append(join(root, fname))
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count = 4 * multiprocessing.cpu_count()
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pool = multiprocessing.Pool(processes=count)
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# Note: need a timeout to get keyboard interrupt due to a Python bug
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pool.map_async(convertImgs, files).get(3600) # one hour
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if __name__ == '__main__':
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main()
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