[Findit] Refactor Findit pipeline.

appengine/findit/waterfall/schedule_test_try_job_pipeline.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.
+
+from collections import defaultdict
+import logging
+
+from common.waterfall import failure_type
+from model.wf_try_job import WfTryJob
+from waterfall.schedule_try_job_pipeline import ScheduleTryJobPipeline
+
+
+def _GetTargetedTests(reliable_tests):
+  targeted_tests = defaultdict(list)
+  for step_reliable_tests in reliable_tests.itervalues():
+    step_name_no_platform = step_reliable_tests[0]
+    tests = step_reliable_tests[1]
+    if tests:
+      targeted_tests[step_name_no_platform].extend(tests)
+  return targeted_tests
+
+
+class ScheduleTestTryJobPipeline(ScheduleTryJobPipeline):
+  """A pipeline for scheduling a new try job for failed test build."""
+
+  def _GetBuildProperties(
+      self, master_name, builder_name, build_number, good_revision,
+      bad_revision, try_job_type, suspected_revisions):
+    properties = super(ScheduleTestTryJobPipeline, self)._GetBuildProperties(
+        master_name, builder_name, build_number, good_revision,
+        bad_revision, try_job_type, suspected_revisions)
+    properties['target_testername'] = builder_name
+
+    return properties
+
+  # Arguments number differs from overridden method - pylint: disable=W0221
+  def run(
+      self, master_name, builder_name, build_number, good_revision,
+      bad_revision, try_job_type, suspected_revisions, *reliable_tests):
+
+    properties = self._GetBuildProperties(
+        master_name, builder_name, build_number, good_revision, bad_revision,
+        try_job_type, suspected_revisions)
+
+    targeted_tests = _GetTargetedTests(dict(reliable_tests))

[Sharu Jiang, 2016/08/04 06:21:12]

In the test, the dummy reliable_tests is ['a on platform', ['a', ['test1',
'test2']]]

so when we pass this to 

def run(..., *reliable_tests):
  ...

The reliable_tests would be converted to a tuple (['a on platform', ['a',
['test1', 'test2']]], ) inside function, if we convert this tuple to dict, that
would throw exception.

I don't think this is the intended behavior? Or is there special rule for
pipeline run *args ?

[chanli, 2016/08/05 19:53:54]

Yes. use *args each element in the list will be treated like an arg.

+    if not targeted_tests:  # pragma: no cover
+      logging.info('All tests are flaky, no try job will be triggered.')
+      return
+
+    additional_parameters = {'tests': targeted_tests}
+
+    build_id = self._TriggerTryJob(
+        master_name, builder_name, properties, additional_parameters)
+
+    try_job_result = WfTryJob.Get(master_name, builder_name, build_number)
+    try_job_result.test_results.append({'try_job_id': build_id})
+    try_job_result.try_job_ids.append(build_id)
+    try_job_result.put()
+
+    # Create a corresponding WfTryJobData entity to capture as much metadata as
+    # early as possible.
+    self._CreateTryJobData(
+        build_id, master_name, builder_name, build_number,
+        failure_type.GetDescriptionForFailureType(try_job_type),
+        False, bool(suspected_revisions))
+
+    return build_id