[Findit] Adding metadata for manually vs automatically triggered flake analyses

appengine/findit/findit_api.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.
 
 """This module is to provide Findit service APIs through Cloud Endpoints:
 
 Current APIs include:
 1. Analysis of compile/test failures in Chromium waterfalls.
    Analyzes failures and detects suspected CLs.
 2. Analysis of flakes on Commit Queue.
@@ skipping 12 matching lines @@
 from common import constants
 from common import time_util
 from common.waterfall import failure_type
 from model.flake.flake_analysis_request import FlakeAnalysisRequest
 from model.wf_analysis import WfAnalysis
 from model.wf_swarming_task import WfSwarmingTask
 from model.wf_try_job import WfTryJob
 from waterfall import buildbot
 from waterfall import waterfall_config
 from waterfall.flake import flake_analysis_service
+from waterfall.flake import triggering_sources
 
 
 # This is used by the underlying ProtoRpc when creating names for the ProtoRPC
 # messages below. This package name will show up as a prefix to the message
 # class names in the discovery doc and client libraries.
 package = 'FindIt'
 
 
 # These subclasses of Message are basically definitions of Protocol RPC
 # messages. https://cloud.google.com/appengine/docs/python/tools/protorpc/
@@ skipping 250 matching lines @@
       analysis_request = FlakeAnalysisRequest.Create(
           flake.name, flake.is_step, flake.bug_id)
       for step in flake.build_steps:
         analysis_request.AddBuildStep(step.master_name, step.builder_name,
                                       step.build_number, step.step_name,
                                       time_util.GetUTCNow())
       return analysis_request
 
     logging.info('Flake: %s', CreateFlakeAnalysisRequest(request))
     analysis_triggered = flake_analysis_service.ScheduleAnalysisForFlake(
-        CreateFlakeAnalysisRequest(request), user_email, is_admin)
+        CreateFlakeAnalysisRequest(request), user_email, is_admin,
+        triggering_sources.FINDIT_API)
 
     if analysis_triggered is None:
       raise endpoints.UnauthorizedException(
           'No permission for a new analysis! User is %s' % user_email)
 
     return _FlakeAnalysis(analysis_triggered=analysis_triggered)