Docserver: Add template support for object level availability

chrome/common/extensions/docs/server2/schema_util.py

 # Copyright 2013 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.
 
 from collections import defaultdict, Mapping
 import traceback
 
 from third_party.json_schema_compiler import json_parse, idl_schema, idl_parser
 
 
@@ skipping 71 matching lines @@
       ref = node.get('$ref')
       if ref and ref in inline_docs:
         node.update(inline_docs[ref])
         del node['$ref']
       for k, v in node.iteritems():
         apply_inline(v)
 
   apply_inline(schema)
 
 
-def ProcessSchema(path, file_data):
-  '''Parses |file_data| using a method determined by checking the
-  extension of the file at the given |path|. Then, trims 'nodoc' and handles
-  inlineable types from the parsed schema data.
+def ProcessSchema(path, file_data, inline=False):
+  '''Parses |file_data| using a method determined by checking the extension of
+  the file at the given |path|. Then, trims 'nodoc' and if |inline| is given
+  and True, handles inlineable types from the parsed schema data.
   '''
   def trim_and_inline(schema, is_idl=False):
     '''Modifies an API schema in place by removing nodes that shouldn't be
     documented and inlining schema types that are only referenced once.
     '''
     if RemoveNoDocs(schema):
       # A return of True signifies that the entire schema should not be
       # documented. Otherwise, only nodes that request 'nodoc' are removed.
       return None
-    if is_idl:
-      DetectInlineableTypes(schema)
-    InlineDocs(schema)
+    if inline:
+      if is_idl:
+        DetectInlineableTypes(schema)
+      InlineDocs(schema)
     return schema
 
   if path.endswith('.idl'):
     idl = idl_schema.IDLSchema(idl_parser.IDLParser().ParseData(file_data))
     # Wrap the result in a list so that it behaves like JSON API data.
     return [trim_and_inline(idl.process()[0], is_idl=True)]
 
   try:
     schemas = json_parse.Parse(file_data)
   except:
     raise ValueError('Cannot parse "%s" as JSON:\n%s' %
                      (path, traceback.format_exc()))
   for schema in schemas:
     # Schemas could consist of one API schema (data for a specific API file)
     # or multiple (data from extension_api.json).
     trim_and_inline(schema)
   return schemas