#!/usr/bin/env python
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import yaml
import argparse
import datetime
import csv

argp = 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)