Python action.LiveAction类代码示例

    def test_over_threshold_cancel_executions(self):
        policy_db = Policy.get_by_ref('wolfpack.action-2.concurrency.cancel')
        self.assertEqual(policy_db.parameters['action'], 'cancel')
        self.assertGreater(policy_db.parameters['threshold'], 0)

        for i in range(0, policy_db.parameters['threshold']):
            liveaction = LiveActionDB(action='wolfpack.action-2', parameters={'actionstr': 'foo'})
            action_service.request(liveaction)

        scheduled = [item for item in LiveAction.get_all() if item.status in SCHEDULED_STATES]
        self.assertEqual(len(scheduled), policy_db.parameters['threshold'])

        # duplicate executions caused by accidental publishing of state in the concurrency policies.
        # num_state_changes = len(scheduled) * len(['requested', 'scheduled', 'running'])
        expected_num_exec = len(scheduled)
        expected_num_pubs = expected_num_exec * 3
        self.assertEqual(expected_num_pubs, LiveActionPublisher.publish_state.call_count)
        self.assertEqual(expected_num_exec, runner.MockActionRunner.run.call_count)

        # Execution is expected to be canceled since concurrency threshold is reached.
        liveaction = LiveActionDB(action='wolfpack.action-2', parameters={'actionstr': 'foo'})
        liveaction, _ = action_service.request(liveaction)
        expected_num_exec += 0  # This request will not be scheduled for execution.
        expected_num_pubs += 1  # Tally requested state.

        # Assert the canceling state is being published.
        calls = [call(liveaction, action_constants.LIVEACTION_STATUS_CANCELING)]
        LiveActionPublisher.publish_state.assert_has_calls(calls)
        expected_num_pubs += 2  # Tally canceling and canceled state changes.

        # Assert the action is canceled.
        liveaction = LiveAction.get_by_id(str(liveaction.id))
        self.assertEqual(liveaction.status, action_constants.LIVEACTION_STATUS_CANCELED)
        self.assertEqual(expected_num_pubs, LiveActionPublisher.publish_state.call_count)
        self.assertEqual(expected_num_exec, runner.MockActionRunner.run.call_count)

    def test_over_threshold(self):
        policy_db = Policy.get_by_ref("wolfpack.action-1.concurrency.attr")
        self.assertGreater(policy_db.parameters["threshold"], 0)
        self.assertIn("actionstr", policy_db.parameters["attributes"])

        for i in range(0, policy_db.parameters["threshold"]):
            liveaction = LiveActionDB(action="wolfpack.action-1", parameters={"actionstr": "fu"})
            action_service.request(liveaction)

        scheduled = LiveAction.get_all()
        self.assertEqual(len(scheduled), policy_db.parameters["threshold"])
        for liveaction in scheduled:
            self.assertIn(liveaction.status, SCHEDULED_STATES)

        # Execution is expected to be delayed since concurrency threshold is reached.
        liveaction = LiveActionDB(action="wolfpack.action-1", parameters={"actionstr": "fu"})
        liveaction, _ = action_service.request(liveaction)
        delayed = LiveAction.get_by_id(str(liveaction.id))
        self.assertEqual(delayed.status, action_constants.LIVEACTION_STATUS_DELAYED)

        # Execution is expected to be scheduled since concurrency threshold is not reached.
        # The execution with actionstr "fu" is over the threshold but actionstr "bar" is not.
        liveaction = LiveActionDB(action="wolfpack.action-1", parameters={"actionstr": "bar"})
        liveaction, _ = action_service.request(liveaction)
        liveaction = LiveAction.get_by_id(str(liveaction.id))
        self.assertIn(liveaction.status, SCHEDULED_STATES)

        # Mark one of the execution as completed.
        action_service.update_status(scheduled[0], action_constants.LIVEACTION_STATUS_SUCCEEDED, publish=True)

        # Execution is expected to be rescheduled.
        liveaction = LiveAction.get_by_id(str(delayed.id))
        self.assertIn(liveaction.status, SCHEDULED_STATES)

 def test_chained_executions(self):
     liveaction = LiveActionDB(action='core.chain')
     liveaction, _ = action_service.schedule(liveaction)
     liveaction = LiveAction.get_by_id(str(liveaction.id))
     self.assertEqual(liveaction.status, LIVEACTION_STATUS_FAILED)
     execution = self._get_action_execution(liveaction__id=str(liveaction.id),
                                            raise_exception=True)
     action = action_utils.get_action_by_ref('core.chain')
     self.assertDictEqual(execution.action, vars(ActionAPI.from_model(action)))
     runner = RunnerType.get_by_name(action.runner_type['name'])
     self.assertDictEqual(execution.runner, vars(RunnerTypeAPI.from_model(runner)))
     liveaction = LiveAction.get_by_id(str(liveaction.id))
     self.assertEqual(execution.start_timestamp, liveaction.start_timestamp)
     self.assertEqual(execution.end_timestamp, liveaction.end_timestamp)
     self.assertEqual(execution.result, liveaction.result)
     self.assertEqual(execution.status, liveaction.status)
     self.assertEqual(execution.context, liveaction.context)
     self.assertEqual(execution.liveaction['callback'], liveaction.callback)
     self.assertEqual(execution.liveaction['action'], liveaction.action)
     self.assertGreater(len(execution.children), 0)
     for child in execution.children:
         record = ActionExecution.get(id=child, raise_exception=True)
         self.assertEqual(record.parent, str(execution.id))
         self.assertEqual(record.action['name'], 'local')
         self.assertEqual(record.runner['name'], 'run-local')

def _purge_action_models(execution_db):
    liveaction_id = execution_db.liveaction['id']

    if not liveaction_id:
        print('Invalid LiveAction id. Skipping delete: %s', execution_db)

    liveaction_db = None
    try:
        liveaction_db = LiveAction.get_by_id(liveaction_id)
    except:
        print('LiveAction with id: %s not found. Skipping delete.', liveaction_id)
    else:
        global DELETED_COUNT
        DELETED_COUNT += 1

    try:
        ActionExecution.delete(execution_db)
    except Exception as e:
        print('Exception deleting Execution model: %s, exception: %s',
              execution_db, str(e))
    else:
        try:
            LiveAction.delete(liveaction_db)
        except Exception as e:
            print('Zombie LiveAction left in db: %s. Exception: %s',
                  liveaction_db, str(e))

    def test_no_retry_on_non_applicable_statuses(self):
        # Verify initial state
        self.assertSequenceEqual(LiveAction.get_all(), [])
        self.assertSequenceEqual(ActionExecution.get_all(), [])

        # Start a mock action in various statuses in which we shouldn't retry
        non_retry_statuses = [
            LIVEACTION_STATUS_REQUESTED,
            LIVEACTION_STATUS_SCHEDULED,
            LIVEACTION_STATUS_DELAYED,
            LIVEACTION_STATUS_CANCELING,
            LIVEACTION_STATUS_CANCELED,
        ]

        action_ref = 'wolfpack.action-1'

        for status in non_retry_statuses:
            liveaction = LiveActionDB(action=action_ref, parameters={'actionstr': 'foo'})
            live_action_db, execution_db = action_service.request(liveaction)

            live_action_db.status = status
            execution_db.status = status
            LiveAction.add_or_update(live_action_db)
            ActionExecution.add_or_update(execution_db)

            # Simulate policy "apply_after" run
            self.policy.apply_after(target=live_action_db)

        # None of the actions should have been retried
        live_action_dbs = LiveAction.get_all()
        action_execution_dbs = ActionExecution.get_all()
        self.assertEqual(len(live_action_dbs), len(non_retry_statuses))
        self.assertEqual(len(action_execution_dbs), len(non_retry_statuses))

    def test_over_threshold(self):
        policy_db = Policy.get_by_ref('wolfpack.action-1.concurrency')
        self.assertGreater(policy_db.parameters['threshold'], 0)

        for i in range(0, policy_db.parameters['threshold']):
            liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'foo'})
            eventlet.spawn(action_service.request, liveaction)

        # Sleep here to let the threads above schedule the action execution.
        eventlet.sleep(1)

        scheduled = LiveAction.get_all()
        self.assertEqual(len(scheduled), policy_db.parameters['threshold'])
        for liveaction in scheduled:
            self.assertIn(liveaction.status, SCHEDULED_STATES)

        # Execution is expected to be delayed since concurrency threshold is reached.
        liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'foo'})
        liveaction, _ = action_service.request(liveaction)
        liveaction = LiveAction.get_by_id(str(liveaction.id))
        self.assertEqual(liveaction.status, action_constants.LIVEACTION_STATUS_DELAYED)

        # Sleep here to let the threads above complete the action execution.
        eventlet.sleep(RUN_DELAY + 1)

        # Execution is expected to be rescheduled.
        liveaction = LiveAction.get_by_id(str(liveaction.id))
        self.assertIn(liveaction.status, SCHEDULED_STATES)

    def test_over_threshold(self):
        policy_db = Policy.get_by_ref('wolfpack.action-1.concurrency')
        self.assertGreater(policy_db.parameters['threshold'], 0)

        for i in range(0, policy_db.parameters['threshold']):
            liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'foo'})
            action_service.request(liveaction)

        scheduled = LiveAction.get_all()
        self.assertEqual(len(scheduled), policy_db.parameters['threshold'])
        for liveaction in scheduled:
            self.assertIn(liveaction.status, SCHEDULED_STATES)

        # Execution is expected to be delayed since concurrency threshold is reached.
        liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'foo'})
        liveaction, _ = action_service.request(liveaction)
        liveaction = LiveAction.get_by_id(str(liveaction.id))
        self.assertEqual(liveaction.status, action_constants.LIVEACTION_STATUS_DELAYED)

        # Mark one of the execution as completed.
        action_service.update_status(
            scheduled[0], action_constants.LIVEACTION_STATUS_SUCCEEDED, publish=True)

        # Execution is expected to be rescheduled.
        liveaction = LiveAction.get_by_id(str(liveaction.id))
        self.assertIn(liveaction.status, SCHEDULED_STATES)

    def test_over_threshold_delay_executions(self):
        policy_db = Policy.get_by_ref('wolfpack.action-1.concurrency.attr')
        self.assertGreater(policy_db.parameters['threshold'], 0)
        self.assertIn('actionstr', policy_db.parameters['attributes'])

        for i in range(0, policy_db.parameters['threshold']):
            liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'fu'})
            action_service.request(liveaction)

        scheduled = [item for item in LiveAction.get_all() if item.status in SCHEDULED_STATES]
        self.assertEqual(len(scheduled), policy_db.parameters['threshold'])

        # Execution is expected to be delayed since concurrency threshold is reached.
        liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'fu'})
        liveaction, _ = action_service.request(liveaction)
        delayed = LiveAction.get_by_id(str(liveaction.id))
        self.assertEqual(delayed.status, action_constants.LIVEACTION_STATUS_DELAYED)

        # Execution is expected to be scheduled since concurrency threshold is not reached.
        # The execution with actionstr "fu" is over the threshold but actionstr "bar" is not.
        liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'bar'})
        liveaction, _ = action_service.request(liveaction)
        liveaction = LiveAction.get_by_id(str(liveaction.id))
        self.assertIn(liveaction.status, SCHEDULED_STATES)

        # Mark one of the execution as completed.
        action_service.update_status(
            scheduled[0], action_constants.LIVEACTION_STATUS_SUCCEEDED, publish=True)

        # Execution is expected to be rescheduled.
        liveaction = LiveAction.get_by_id(str(delayed.id))
        self.assertIn(liveaction.status, SCHEDULED_STATES)

 def test_execution_creation_action_triggered_by_rule(self):
     # Wait for the action execution to complete and then confirm outcome.
     trigger_type = self.MODELS['triggertypes']['triggertype2.json']
     trigger = self.MODELS['triggers']['trigger2.json']
     trigger_instance = self.MODELS['triggerinstances']['trigger_instance_1.json']
     test_liveaction = self.FIXTURES['liveactions']['liveaction3.json']
     rule = self.MODELS['rules']['rule3.json']
     # Setup LiveAction to point to right rule and trigger_instance.
     # XXX: We need support for dynamic fixtures.
     test_liveaction['context']['rule']['id'] = str(rule.id)
     test_liveaction['context']['trigger_instance']['id'] = str(trigger_instance.id)
     test_liveaction_api = LiveActionAPI(**test_liveaction)
     test_liveaction = LiveAction.add_or_update(LiveActionAPI.to_model(test_liveaction_api))
     liveaction = LiveAction.get(context__trigger_instance__id=str(trigger_instance.id))
     self.assertIsNotNone(liveaction)
     self.assertEqual(liveaction.status, LIVEACTION_STATUS_SCHEDULED)
     executions_util.create_execution_object(liveaction)
     execution = self._get_action_execution(liveaction__id=str(liveaction.id),
                                            raise_exception=True)
     self.assertDictEqual(execution.trigger, vars(TriggerAPI.from_model(trigger)))
     self.assertDictEqual(execution.trigger_type, vars(TriggerTypeAPI.from_model(trigger_type)))
     self.assertDictEqual(execution.trigger_instance,
                          vars(TriggerInstanceAPI.from_model(trigger_instance)))
     self.assertDictEqual(execution.rule, vars(RuleAPI.from_model(rule)))
     action = action_utils.get_action_by_ref(liveaction.action)
     self.assertDictEqual(execution.action, vars(ActionAPI.from_model(action)))
     runner = RunnerType.get_by_name(action.runner_type['name'])
     self.assertDictEqual(execution.runner, vars(RunnerTypeAPI.from_model(runner)))
     liveaction = LiveAction.get_by_id(str(liveaction.id))
     self.assertEquals(execution.liveaction['id'], str(liveaction.id))

    def test_no_retry_on_workflow_task(self):
        # Verify initial state
        self.assertSequenceEqual(LiveAction.get_all(), [])
        self.assertSequenceEqual(ActionExecution.get_all(), [])

        # Start a mock action which times out
        live_action_db = LiveActionDB(
            action='wolfpack.action-1',
            parameters={'actionstr': 'foo'},
            context={'parent': {'execution_id': 'abcde'}}
        )

        live_action_db, execution_db = action_service.request(live_action_db)
        live_action_db = LiveAction.get_by_id(str(live_action_db.id))
        self.assertEqual(live_action_db.status, LIVEACTION_STATUS_REQUESTED)

        # Expire the workflow instance.
        live_action_db.status = LIVEACTION_STATUS_TIMED_OUT
        live_action_db.context['policies'] = {}
        execution_db.status = LIVEACTION_STATUS_TIMED_OUT
        LiveAction.add_or_update(live_action_db)
        ActionExecution.add_or_update(execution_db)

        # Simulate policy "apply_after" run
        self.policy.apply_after(target=live_action_db)

        # Note: There should be no new objects since live action is under the context of a workflow.
        live_action_dbs = LiveAction.get_all()
        action_execution_dbs = ActionExecution.get_all()
        self.assertEqual(len(live_action_dbs), 1)
        self.assertEqual(len(action_execution_dbs), 1)
        self.assertEqual(action_execution_dbs[0].status, LIVEACTION_STATUS_TIMED_OUT)

    def test_retry_on_timeout_max_retries_reached(self):
        # Verify initial state
        self.assertSequenceEqual(LiveAction.get_all(), [])
        self.assertSequenceEqual(ActionExecution.get_all(), [])

        # Start a mock action which times out
        liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'foo'})
        live_action_db, execution_db = action_service.request(liveaction)

        live_action_db.status = LIVEACTION_STATUS_TIMED_OUT
        live_action_db.context['policies'] = {}
        live_action_db.context['policies']['retry'] = {'retry_count': 2}
        execution_db.status = LIVEACTION_STATUS_TIMED_OUT
        LiveAction.add_or_update(live_action_db)
        ActionExecution.add_or_update(execution_db)

        # Simulate policy "apply_after" run
        self.policy.apply_after(target=live_action_db)

        # Note: There should be no new objects since max retries has been reached
        live_action_dbs = LiveAction.get_all()
        action_execution_dbs = ActionExecution.get_all()
        self.assertEqual(len(live_action_dbs), 1)
        self.assertEqual(len(action_execution_dbs), 1)
        self.assertEqual(action_execution_dbs[0].status, LIVEACTION_STATUS_TIMED_OUT)

    def test_on_cancellation(self):
        policy_db = Policy.get_by_ref('wolfpack.action-1.concurrency')
        self.assertGreater(policy_db.parameters['threshold'], 0)

        # Launch action executions until the expected threshold is reached.
        for i in range(0, policy_db.parameters['threshold']):
            parameters = {'actionstr': 'foo-' + str(i)}
            liveaction = LiveActionDB(action='wolfpack.action-1', parameters=parameters)
            action_service.request(liveaction)

        # Run the scheduler to schedule action executions.
        self._process_scheduling_queue()

        # Check the number of action executions in scheduled state.
        scheduled = [item for item in LiveAction.get_all() if item.status in SCHEDULED_STATES]
        self.assertEqual(len(scheduled), policy_db.parameters['threshold'])

        # duplicate executions caused by accidental publishing of state in the concurrency policies.
        # num_state_changes = len(scheduled) * len(['requested', 'scheduled', 'running'])
        expected_num_exec = len(scheduled)
        expected_num_pubs = expected_num_exec * 3
        self.assertEqual(expected_num_pubs, LiveActionPublisher.publish_state.call_count)
        self.assertEqual(expected_num_exec, runner.MockActionRunner.run.call_count)

        # Execution is expected to be delayed since concurrency threshold is reached.
        liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'foo'})
        liveaction, _ = action_service.request(liveaction)

        expected_num_pubs += 1  # Tally requested state.
        self.assertEqual(expected_num_pubs, LiveActionPublisher.publish_state.call_count)

        # Run the scheduler to schedule action executions.
        self._process_scheduling_queue()

        # Since states are being processed async, wait for the liveaction to go into delayed state.
        liveaction = self._wait_on_status(liveaction, action_constants.LIVEACTION_STATUS_DELAYED)

        expected_num_exec += 0  # This request will not be scheduled for execution.
        expected_num_pubs += 0  # The delayed status change should not be published.
        self.assertEqual(expected_num_pubs, LiveActionPublisher.publish_state.call_count)
        self.assertEqual(expected_num_exec, runner.MockActionRunner.run.call_count)

        # Cancel execution.
        action_service.request_cancellation(scheduled[0], 'stanley')
        expected_num_pubs += 2  # Tally the canceling and canceled states.
        self.assertEqual(expected_num_pubs, LiveActionPublisher.publish_state.call_count)

        # Run the scheduler to schedule action executions.
        self._process_scheduling_queue()

        # Once capacity freed up, the delayed execution is published as requested again.
        expected_num_exec += 1  # This request is expected to be executed.
        expected_num_pubs += 2  # Tally scheduled and running state.

        # Execution is expected to be rescheduled.
        liveaction = LiveAction.get_by_id(str(liveaction.id))
        self.assertIn(liveaction.status, SCHEDULED_STATES)
        self.assertEqual(expected_num_pubs, LiveActionPublisher.publish_state.call_count)
        self.assertEqual(expected_num_exec, runner.MockActionRunner.run.call_count)

    def test_over_threshold_delay_executions(self):
        policy_db = Policy.get_by_ref('wolfpack.action-1.concurrency.attr')
        self.assertGreater(policy_db.parameters['threshold'], 0)
        self.assertIn('actionstr', policy_db.parameters['attributes'])

        for i in range(0, policy_db.parameters['threshold']):
            liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'fu'})
            action_service.request(liveaction)

        scheduled = [item for item in LiveAction.get_all() if item.status in SCHEDULED_STATES]
        self.assertEqual(len(scheduled), policy_db.parameters['threshold'])

        # Assert the correct number of published states and action executions. This is to avoid
        # duplicate executions caused by accidental publishing of state in the concurrency policies.
        # num_state_changes = len(scheduled) * len(['requested', 'scheduled', 'running'])
        expected_num_exec = len(scheduled)
        expected_num_pubs = expected_num_exec * 3
        self.assertEqual(expected_num_pubs, LiveActionPublisher.publish_state.call_count)
        self.assertEqual(expected_num_exec, runner.MockActionRunner.run.call_count)

        # Execution is expected to be delayed since concurrency threshold is reached.
        liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'fu'})
        liveaction, _ = action_service.request(liveaction)
        expected_num_pubs += 1  # Tally requested state.

        # Assert the action is delayed.
        delayed = LiveAction.get_by_id(str(liveaction.id))
        self.assertEqual(delayed.status, action_constants.LIVEACTION_STATUS_DELAYED)
        self.assertEqual(expected_num_pubs, LiveActionPublisher.publish_state.call_count)
        self.assertEqual(expected_num_exec, runner.MockActionRunner.run.call_count)

        # Execution is expected to be scheduled since concurrency threshold is not reached.
        # The execution with actionstr "fu" is over the threshold but actionstr "bar" is not.
        liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'bar'})
        liveaction, _ = action_service.request(liveaction)
        expected_num_exec += 1  # This request is expected to be executed.
        expected_num_pubs += 3  # Tally requested, scheduled, and running states.

        liveaction = LiveAction.get_by_id(str(liveaction.id))
        self.assertIn(liveaction.status, SCHEDULED_STATES)
        self.assertEqual(expected_num_pubs, LiveActionPublisher.publish_state.call_count)
        self.assertEqual(expected_num_exec, runner.MockActionRunner.run.call_count)

        # Mark one of the execution as completed.
        action_service.update_status(
            scheduled[0], action_constants.LIVEACTION_STATUS_SUCCEEDED, publish=True)
        expected_num_pubs += 1  # Tally succeeded state.

        # Once capacity freed up, the delayed execution is published as requested again.
        expected_num_exec += 1  # The delayed request is expected to be executed.
        expected_num_pubs += 3  # Tally requested, scheduled, and running state.

        # Execution is expected to be rescheduled.
        liveaction = LiveAction.get_by_id(str(delayed.id))
        self.assertIn(liveaction.status, SCHEDULED_STATES)
        self.assertEqual(expected_num_pubs, LiveActionPublisher.publish_state.call_count)
        self.assertEqual(expected_num_exec, runner.MockActionRunner.run.call_count)

    def test_over_threshold_cancel_executions(self):
        policy_db = Policy.get_by_ref('wolfpack.action-2.concurrency.attr.cancel')
        self.assertEqual(policy_db.parameters['action'], 'cancel')
        self.assertGreater(policy_db.parameters['threshold'], 0)
        self.assertIn('actionstr', policy_db.parameters['attributes'])

        for i in range(0, policy_db.parameters['threshold']):
            liveaction = LiveActionDB(action='wolfpack.action-2', parameters={'actionstr': 'fu'})
            action_service.request(liveaction)

        # Since states are being processed asynchronously, wait for the
        # liveactions to go into scheduled states.
        for i in range(0, 100):
            eventlet.sleep(1)
            scheduled = [item for item in LiveAction.get_all() if item.status in SCHEDULED_STATES]
            if len(scheduled) == policy_db.parameters['threshold']:
                break

        scheduled = [item for item in LiveAction.get_all() if item.status in SCHEDULED_STATES]
        self.assertEqual(len(scheduled), policy_db.parameters['threshold'])

        # Assert the correct number of published states and action executions. This is to avoid
        # duplicate executions caused by accidental publishing of state in the concurrency policies.
        # num_state_changes = len(scheduled) * len(['requested', 'scheduled', 'running'])
        expected_num_exec = len(scheduled)
        expected_num_pubs = expected_num_exec * 3
        self.assertEqual(expected_num_pubs, LiveActionPublisher.publish_state.call_count)
        self.assertEqual(expected_num_exec, runner.MockActionRunner.run.call_count)

        # Execution is expected to be delayed since concurrency threshold is reached.
        liveaction = LiveActionDB(action='wolfpack.action-2', parameters={'actionstr': 'fu'})
        liveaction, _ = action_service.request(liveaction)
        expected_num_exec += 0  # This request will not be scheduled for execution.
        expected_num_pubs += 1  # Tally requested state.

        # Since states are being processed asynchronously, wait for the
        # liveaction to go into cancel state.
        for i in range(0, 100):
            eventlet.sleep(1)
            liveaction = LiveAction.get_by_id(str(liveaction.id))
            if liveaction.status in [
                    action_constants.LIVEACTION_STATUS_CANCELING,
                    action_constants.LIVEACTION_STATUS_CANCELED]:
                break

        # Assert the canceling state is being published.
        calls = [call(liveaction, action_constants.LIVEACTION_STATUS_CANCELING)]
        LiveActionPublisher.publish_state.assert_has_calls(calls)
        expected_num_pubs += 2  # Tally canceling and canceled state changes.

        # Assert the action is canceled.
        canceled = LiveAction.get_by_id(str(liveaction.id))
        self.assertEqual(canceled.status, action_constants.LIVEACTION_STATUS_CANCELED)
        self.assertEqual(expected_num_pubs, LiveActionPublisher.publish_state.call_count)
        self.assertEqual(expected_num_exec, runner.MockActionRunner.run.call_count)

 def _update_action_results(self, execution_id, status, results):
     liveaction_db = LiveAction.get_by_id(execution_id)
     if not liveaction_db:
         raise Exception('No DB model for liveaction_id: %s' % execution_id)
     liveaction_db.result = results
     liveaction_db.status = status
     # update liveaction, update actionexecution and then publish update.
     updated_liveaction = LiveAction.add_or_update(liveaction_db, publish=False)
     executions.update_execution(updated_liveaction)
     LiveAction.publish_update(updated_liveaction)
     return updated_liveaction