[Findit] Flake Checker: Extract commit position and git hash and display to UI for each analyzed bu…

appengine/findit/model/flake/master_flake_analysis.py

 # Copyright 2016 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
 
 from google.appengine.ext import ndb
 
 from gae_libs.model.versioned_model import VersionedModel
 from model import result_status
 from model import triage_status
 from model.base_analysis import BaseAnalysis
 from model.base_build_model import BaseBuildModel
 from model.base_triaged_model import TriagedModel
 from model.flake.flake_swarming_task import FlakeSwarmingTaskData
 
 
 class DataPoint(ndb.Model):
   build_number = ndb.IntegerProperty(indexed=False)
   pass_rate = ndb.FloatProperty(indexed=False)
   task_id = ndb.StringProperty(indexed=False)
+  commit_position = ndb.IntegerProperty(indexed=False)
+  git_hash = ndb.StringProperty(indexed=False)
+  previous_build_commit_position = ndb.IntegerProperty(indexed=False)
+  previous_build_git_hash = ndb.StringProperty(indexed=False)
 
 
 class MasterFlakeAnalysis(
     BaseAnalysis, BaseBuildModel, VersionedModel, TriagedModel):
   """Represents an analysis of a flaky test on a Waterfall test cycle."""
 
   @ndb.ComputedProperty
   def step_name(self):
     return self.key.pairs()[0][1].split('/')[3]
 
@@ skipping 129 matching lines @@
   # Findit's automatic analysis upon detection, or Findit API.
   triggering_source = ndb.IntegerProperty(default=None, indexed=True)
 
   # Who triggered the analysis. Used for differentiating between manual and
   # automatic runs, and determining the most active users to gather feedback.
   triggering_user_email = ndb.StringProperty(default=None, indexed=False)
 
   # Overall conclusion of analysis result for the flake. Found untriaged, Found
   # Correct, etc. used to filter what is displayed on the check flake dashboard.
   result_status = ndb.IntegerProperty(indexed=True)