[Predator] Add https:// in front of feedback link.

appengine/findit/handlers/crash/test/crash_handler_test.py

 # Copyright 2015 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 base64
 import copy
 import json
 import logging
 
 from google.appengine.api import app_identity
@@ skipping 170 matching lines @@
   # and fragile mocking.
   def _TestRunningAnalysisForResult(self, analysis_result, analysis_tags):
 
     # Mock out the part of PublishResultPipeline that would go over the wire.
     pubsub_publish_requests = []
     def Mocked_PublishMessagesToTopic(messages_data, topic):
       pubsub_publish_requests.append((messages_data, topic))
     self.mock(crash_pipeline.pubsub_util, 'PublishMessagesToTopic',
               Mocked_PublishMessagesToTopic)
 
-    MOCK_HOST = 'https://host.com'
+    MOCK_HOST = 'host.com'
     self.mock(app_identity, 'get_default_version_hostname', lambda: MOCK_HOST)
 
     testcase = self
     MOCK_KEY = 'MOCK_KEY'
 
     # Mock out the wrapper pipeline, so call the other pipelines directly
     # instead of doing the yielding loop and spawning off processes.
     def mock_start_pipeline(self, **kwargs):
       logging.info('Mock running on queue %s', kwargs['queue_name'])
       analysis_pipeline = crash_pipeline.CrashAnalysisPipeline(
@@ skipping 49 matching lines @@
     # when things acciddentally go over the wire (and subsequently fail).
     try:
       self.execute_queued_tasks()
     except AppError, e: # pragma: no cover
       raise e
 
     self.assertEqual(1, len(pubsub_publish_requests))
 
     processed_analysis_result = copy.deepcopy(analysis_result)
     processed_analysis_result['feedback_url'] = (
-        '%s/crash/fracas-result-feedback?key=%s' % (MOCK_HOST, MOCK_KEY))
+        'https://%s/crash/fracas-result-feedback?key=%s' % (MOCK_HOST,
+                                                            MOCK_KEY))
 
     for cl in processed_analysis_result.get('suspected_cls', []):
       cl['confidence'] = round(cl['confidence'], 2)
       cl.pop('reason', None)
 
     expected_messages_data = [json.dumps({
             'crash_identifiers': crash_data['crash_identifiers'],
             'client_id': CrashClient.FRACAS,
             'result': processed_analysis_result,
         }, sort_keys=True)]
@@ skipping 62 matching lines @@
         'has_regression_range': True,
         'solution': 'core',
         'unsupported_tag': '',
     }
 
     analysis = self._TestRunningAnalysisForResult(
         analysis_result, analysis_tags)
     self.assertTrue(analysis.has_regression_range)
     self.assertTrue(analysis.found_suspects)
     self.assertEqual('core', analysis.solution)