Add mapping of directories to owners as json file

third_party/WebKit/Tools/Scripts/csv_to_json

Index: third_party/WebKit/Tools/Scripts/csv_to_json
diff --git a/third_party/WebKit/Tools/Scripts/csv_to_json b/third_party/WebKit/Tools/Scripts/csv_to_json
new file mode 100755
index 0000000000000000000000000000000000000000..a17d195680e81fb78cd3e1ecded51b11d7d61136
--- /dev/null
+++ b/third_party/WebKit/Tools/Scripts/csv_to_json
@@ -0,0 +1,43 @@
+#!/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."""

[qyearsley, 2016/07/19 22:17:28]

I think it would be helpful give an example invocation here, showing how you
invoked this script to generate the JSON. For example:

Example usage:

./csv_to_json --filename=$HOME/input.csv --output=directory_owners.json \
  --skip-keys="Number of tests"
  -f directory -f number-tests -f ...

+
+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', '--fieldnames', nargs='*',

[qyearsley, 2016/07/19 22:17:28]

fieldnames -> field-names?

+                        help='The ordered fieldnames of the CSV file. Defaults to first row.')

[qyearsley, 2016/07/19 22:17:28]

fieldnames -> field names

+    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.fieldnames, 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)

[qyearsley, 2016/07/19 22:17:28]

fieldnames -> field_names

+        for row in reader:
+            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:])

[qyearsley, 2016/07/19 22:17:28]

four-space indent