Docserver: separate models for apps and extensions

tools/json_schema_compiler/json_schema.py

 # 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):
-  """Deletes the given nodes in item, recursively, that have |delete_key| as
-  an attribute.
+
+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.
   """
-  def HasKey(thing):
-    return json_parse.IsDict(thing) and thing.get(delete_key, False)
+  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 HasKey(value):
+      if ShouldDelete(value):
         toDelete.append(key)
       else:
-        DeleteNodes(value, delete_key)
+        DeleteNodes(value, delete_key, matcher)
     for key in toDelete:
       del item[key]
   elif type(item) == list:
-    item[:] = [DeleteNodes(thing, delete_key)
-        for thing in item if not HasKey(thing)]
+    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(handle.read())
   return schemas
 
 
 # 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])