Waterfall components of regression range finder.

appengine/findit/waterfall/trigger_flake_swarming_task_pipeline.py

+from google.appengine.ext import ndb
+
+import logging
+
+from waterfall.trigger_base_swarming_task_pipeline import (
+    TriggerBaseSwarmingTaskPipeline as TBSTP)
+from model.flake.flake_swarming_task import FlakeSwarmingTask
+
+class TriggerFlakeSwarmingTaskPipeline(TBSTP):
+  """A pipeline to check if selected tests of a step are flaky.
+
+  This pipeline only supports test steps that run on Swarming and support the
+  gtest filter.
+  """
+  #pylint: disable=arguments-differ
+  def _GetSwarmingTask(self,master_name, builder_name, build_number,
+                       step_name, test_name):
+    # Get the appropriate kind of Swarming Task (Flake).
+    swarming_task = FlakeSwarmingTask.Get(
+        master_name, builder_name, build_number, step_name, test_name)
+    return swarming_task
+
+  #pylint: disable=arguments-differ
+  def _CreateSwarmingTask(self, master_name, builder_name, build_number,
+                          step_name, test_name):
+    # Create the appropriate kind of Swarming Task (Flake).
+    swarming_task = FlakeSwarmingTask.Create(
+        master_name, builder_name, build_number, step_name, test_name)
+    return swarming_task
+
+  def _GetIterationsToRerun(self):
+    # How many times we want to run the swarming rerun?
+    # TODO(caiw): Move to config.
+    return 10
+
+  def _GetArgs(self, master_name, builder_name, build_number, step_name, tests):

[stgao, 2016/07/14 18:34:50]

One alternative is to return the key of the entity.

[caiw, 2016/07/15 00:25:10]

I thought we talked and said this was ok for now?

+    test_name = tests[0] #only one test per pipeline
+    logging.info("test name: %s" % test_name)
+    return (master_name, builder_name, build_number, step_name, test_name)