blob: e00c11d7b352364ce0b12708e429c089342d1035 [file] [log] [blame]
# Copyright (c) 2012 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.
import copy
import json_parse
def DeleteNodes(item, delete_key=None, matcher=None):
"""Deletes certain nodes in item, recursively. If |delete_key| is set, all
dicts with |delete_key| as an attribute are deleted. If a callback is passed
as |matcher|, |DeleteNodes| will delete all dicts for which matcher(dict)
returns True.
assert (delete_key is not None) != (matcher is not None)
def ShouldDelete(thing):
return json_parse.IsDict(thing) and (
delete_key is not None and delete_key in thing or
matcher is not None and matcher(thing))
if json_parse.IsDict(item):
toDelete = []
for key, value in item.items():
if ShouldDelete(value):
DeleteNodes(value, delete_key, matcher)
for key in toDelete:
del item[key]
elif type(item) == list:
item[:] = [DeleteNodes(thing, delete_key, matcher)
for thing in item if not ShouldDelete(thing)]
return item
def Load(filename):
with open(filename, 'r') as handle:
schemas = json_parse.Parse(
return schemas
print('FAILED: Exception encountered while loading "%s"' % filename)
# A dictionary mapping |filename| to the object resulting from loading the JSON
# at |filename|.
_cache = {}
def CachedLoad(filename):
"""Equivalent to Load(filename), but caches results for subsequent calls"""
if filename not in _cache:
_cache[filename] = Load(filename)
# Return a copy of the object so that any changes a caller makes won't affect
# the next caller.
return copy.deepcopy(_cache[filename])