blob: ae06a0ca3a52e192720f3ef530666ef27448fb9a [file] [log] [blame]
#!/usr/bin/python
# Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Converts CSV files to machine-readable JSON.
Example usage:
./csv_to_json input.csv --output directory_owners.json\
--skip-keys number-tests\
-f directory test-number team notification-email other-contact component
"""
import argparse
import csv
import json
import sys
def main(argv):
parser = argparse.ArgumentParser()
parser.add_argument('filename', metavar='filename',
help='The path to the input CSV file.')
parser.add_argument('-o', '--output',
help='The output file name.')
parser.add_argument('-f', '--field-names', nargs='*',
help='The ordered field names of the CSV file. Defaults to first row.')
parser.add_argument('-s', '--skip-keys', nargs='*',
help='Fields that should be skipped.')
args = parser.parse_args()
convert_csv_to_json(args.filename, args.output, args.field_names, args.skip_keys)
def convert_csv_to_json(filename, output_filename=None, field_names=None, skip_keys=None):
out = output_filename or (filename + '.json')
dict_list = []
json_file = open(out, 'w')
with open(filename) as csv_file:
reader = csv.DictReader(csv_file, fieldnames=field_names)
for row in reader:
if not row['directory'].startswith('imported'):
continue
if skip_keys:
for s in skip_keys:
del row[s]
dict_list.append(row)
json.dump(dict_list, json_file, indent=4)
if __name__ == '__main__':
main(sys.argv[1:])