| 1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253 | #!/usr/bin/env python# Copyright 2017, Google Inc.# All rights reserved.## Redistribution and use in source and binary forms, with or without# modification, are permitted provided that the following conditions are# met:##     * Redistributions of source code must retain the above copyright# notice, this list of conditions and the following disclaimer.#     * Redistributions in binary form must reproduce the above# copyright notice, this list of conditions and the following disclaimer# in the documentation and/or other materials provided with the# distribution.#     * Neither the name of Google Inc. nor the names of its# contributors may be used to endorse or promote products derived from# this software without specific prior written permission.## THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.import yamlimport argparseimport datetimeimport csvargp = argparse.ArgumentParser(description='Convert cloc yaml to bigquery csv')argp.add_argument('-i', '--input', type=str)argp.add_argument('-d', '--date', type=str, default=datetime.date.today().strftime('%Y-%m-%d'))argp.add_argument('-o', '--output', type=str, default='out.csv')args = argp.parse_args()data = yaml.load(open(args.input).read())with open(args.output, 'w') as outf:  writer = csv.DictWriter(outf, ['date', 'name', 'language', 'code', 'comment', 'blank'])  for key, value in data.iteritems():    if key == 'header': continue    if key == 'SUM': continue    if key.startswith('third_party/'): continue    row = {'name': key, 'date': args.date}    row.update(value)    writer.writerow(row)
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