Add mapping of directories to owners as json file

third_party/WebKit/Tools/Scripts/generate_w3c_directory_owner_json

+#!/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.

[Dirk Pranke, 2016/08/09 04:06:21]

This docstring doesn't seem like the best one-line description of what this is
for :).

Also, this should probably document where these CSV files come from.

And, given that most of the lines in the JSON file are empty, does it make sense
to omit them and modify the code that reads the JSON to be able to deal with
missing fields? I'd guess that that would at the very least, make the JSON file
more readable. And we do want that file to be human-readable, right? 

Do we expect it to also be updated, or is the source of truth the database or
spreadsheet that is producing the CSV file?

+
+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:])