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)
+from model.flake.flake_swarming_task import FlakeSwarmingTask
+
+class TriggerFlakeSwarmingTaskPipeline(TriggerBaseSwarmingTaskPipeline):
+  """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?
+    return 10
+
+  def _GetArgs(self, master_name, builder_name, build_number, step_name, tests):
+    test_name = tests[0] #only one test per pipeline
+    return (master_name, builder_name, build_number, step_name, test_name)