Python action.request函数代码示例

    def test_cancel_subworkflow_action(self):
        liveaction1 = LiveActionDB(action=WF2_NAME, parameters=ACTION_PARAMS)
        liveaction1, execution1 = action_service.request(liveaction1)
        liveaction1 = LiveAction.get_by_id(str(liveaction1.id))
        self.assertEqual(liveaction1.status, action_constants.LIVEACTION_STATUS_RUNNING)

        liveaction2 = LiveActionDB(action=WF1_NAME, parameters=ACTION_PARAMS)
        liveaction2, execution2 = action_service.request(liveaction2)
        liveaction2 = LiveAction.get_by_id(str(liveaction2.id))
        self.assertEqual(liveaction2.status, action_constants.LIVEACTION_STATUS_RUNNING)

        # Mock the children of the parent execution to make this
        # test case has subworkflow execution.
        with mock.patch.object(
                ActionExecutionDB, 'children',
                new_callable=mock.PropertyMock) as action_ex_children_mock:
            action_ex_children_mock.return_value = [execution2.id]

            mistral_context = liveaction1.context.get('mistral', None)
            self.assertIsNotNone(mistral_context)
            self.assertEqual(mistral_context['execution_id'], WF2_EXEC.get('id'))
            self.assertEqual(mistral_context['workflow_name'], WF2_EXEC.get('workflow_name'))

            requester = cfg.CONF.system_user.user
            liveaction1, execution1 = action_service.request_cancellation(liveaction1, requester)

            self.assertTrue(executions.ExecutionManager.update.called)
            self.assertEqual(executions.ExecutionManager.update.call_count, 2)

            calls = [
                mock.call(WF2_EXEC.get('id'), 'CANCELLED'),
                mock.call(WF1_EXEC.get('id'), 'CANCELLED')
            ]

            executions.ExecutionManager.update.assert_has_calls(calls, any_order=False)

    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_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_resume_option_reset_tasks(self):
        MistralRunner.entry_point = mock.PropertyMock(return_value=WF1_YAML_FILE_PATH)
        liveaction1 = LiveActionDB(action=WF1_NAME, parameters=ACTION_PARAMS)
        liveaction1, execution1 = action_service.request(liveaction1)
        self.assertFalse(MistralRunner.resume.called)

        # Rerun the execution.
        context = {
            're-run': {
                'ref': execution1.id,
                'tasks': ['x', 'y'],
                'reset': ['y']
            }
        }

        liveaction2 = LiveActionDB(action=WF1_NAME, parameters=ACTION_PARAMS, context=context)
        liveaction2, execution2 = action_service.request(liveaction2)
        liveaction2 = LiveAction.get_by_id(str(liveaction2.id))
        self.assertEqual(liveaction2.status, action_constants.LIVEACTION_STATUS_RUNNING)

        task_specs = {
            'x': {
                'reset': False
            },
            'y': {
                'reset': True
            }
        }

        MistralRunner.resume.assert_called_with(ex_ref=execution1, task_specs=task_specs)

    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_trace_tag_resuse(self):
     self.traceable_liveaction['context']['trace_context'] = {'trace_tag': 'blank space'}
     action_services.request(self.traceable_liveaction)
     # Let's use same trace tag again and we should see two trace objects in db.
     action_services.request(self.traceable_liveaction)
     traces = Trace.query(**{'trace_tag': 'blank space'})
     self.assertEqual(len(traces), 2)

    def test_disabled_policy_not_applied_on_pre_run(self, mock_policies):
        scheduler_worker = scheduler.get_scheduler()

        ##########
        # First test a scenario where policy is enabled
        ##########
        self.assertTrue(self.policy_db.enabled)

        # Post run hasn't been called yet, call count should be 0
        self.assertEqual(mock_policies.get_driver.call_count, 0)

        liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'foo'})
        live_action_db, execution_db = action_service.request(liveaction)
        scheduler_worker._apply_pre_run_policies(liveaction_db=live_action_db)

        # Ony policy has been applied so call count should be 1
        self.assertEqual(mock_policies.get_driver.call_count, 1)

        ##########
        # Now a scenaro with disabled policy
        ##########
        mock_policies.get_driver.call_count = 0
        self.policy_db.enabled = False
        self.policy_db = Policy.add_or_update(self.policy_db)
        self.assertFalse(self.policy_db.enabled)

        self.assertEqual(mock_policies.get_driver.call_count, 0)

        liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'foo'})
        live_action_db, execution_db = action_service.request(liveaction)
        scheduler_worker._apply_pre_run_policies(liveaction_db=live_action_db)

        # Policy is disabled so call_count should stay the same as before as no policies have been
        # applied
        self.assertEqual(mock_policies.get_driver.call_count, 0)

    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_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_request_override_runner_parameter_mutable(self):
        parameters = {'hosts': 'localhost', 'cmd': 'uname -a'}
        request = LiveActionDB(action=ACTION_OVR_PARAM_MUTABLE_REF, parameters=parameters)
        request, _ = action_service.request(request)

        parameters = {'hosts': 'localhost', 'cmd': 'uname -a', 'sudo': True}
        request = LiveActionDB(action=ACTION_OVR_PARAM_MUTABLE_REF, parameters=parameters)
        request, _ = action_service.request(request)

    def test_request_override_runner_parameter(self):
        parameters = {'hosts': '127.0.0.1', 'cmd': 'uname -a'}
        request = LiveActionDB(action=ACTION_OVR_PARAM_REF, parameters=parameters)
        request, _ = action_service.request(request)

        parameters = {'hosts': '127.0.0.1', 'cmd': 'uname -a', 'sudo': False}
        request = LiveActionDB(action=ACTION_OVR_PARAM_REF, parameters=parameters)
        request, _ = action_service.request(request)

    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 test_cancel_on_task_action_concurrency_by_attr(self):
        # Delete other policies in the test pack to avoid conflicts.
        required_policy = 'mistral_tests.cancel_on_concurrency_by_attr'
        self._drop_all_other_policies(required_policy)

        # Get threshold from the policy.
        policy = Policy.get_by_ref(required_policy)
        threshold = policy.parameters.get('threshold', 0)
        self.assertGreater(threshold, 0)

        params = {'friend': 'grande animalerie'}

        # Launch instances of the workflow up to threshold.
        for i in range(0, threshold):
            liveaction = LiveActionDB(action=WF1_NAME, parameters=params)
            liveaction, execution1 = action_service.request(liveaction)
            liveaction = LiveAction.get_by_id(str(liveaction.id))

            liveaction = self._wait_on_status(
                liveaction,
                action_constants.LIVEACTION_STATUS_RUNNING
            )

        # Check number of running instances
        running = LiveAction.count(
            action=WF1_NAME, status=action_constants.LIVEACTION_STATUS_RUNNING,
            parameters__friend=params['friend'])

        self.assertEqual(running, threshold)

        # Mock the mistral runner cancel method to assert cancel is called.
        mistral_runner_cls = runners.get_runner('mistral-v2').__class__
        mock_cancel_return_value = (action_constants.LIVEACTION_STATUS_CANCELING, None, None)
        mock_cancel = mock.MagicMock(return_value=mock_cancel_return_value)

        with mock.patch.object(mistral_runner_cls, 'cancel', mock_cancel):
            # Launch another instance of the workflow with mistral callback defined
            # to indicate that this is executed under a workflow.
            callback = {
                'source': MISTRAL_RUNNER_NAME,
                'url': 'http://127.0.0.1:8989/v2/action_executions/12345'
            }

            liveaction2 = LiveActionDB(action=WF1_NAME, parameters=params, callback=callback)
            liveaction2, execution2 = action_service.request(liveaction2)
            liveaction2 = LiveAction.get_by_id(str(liveaction2.id))

            # Assert cancel has been called.
            liveaction2 = self._wait_on_status(
                liveaction2,
                action_constants.LIVEACTION_STATUS_CANCELING
            )

            mistral_runner_cls.cancel.assert_called_once_with()

    def test_resume_unidentified_tasks(self):
        MistralRunner.entry_point = mock.PropertyMock(return_value=WF1_YAML_FILE_PATH)
        liveaction1 = LiveActionDB(action=WF1_NAME, parameters=ACTION_PARAMS)
        liveaction1, execution1 = action_service.request(liveaction1)

        # Rerun the execution.
        context = {"re-run": {"ref": execution1.id, "tasks": ["x"]}}

        liveaction2 = LiveActionDB(action=WF1_NAME, parameters=ACTION_PARAMS, context=context)
        liveaction2, execution2 = action_service.request(liveaction2)
        liveaction2 = LiveAction.get_by_id(str(liveaction2.id))
        self.assertEqual(liveaction2.status, action_constants.LIVEACTION_STATUS_FAILED)
        self.assertIn("Unable to identify", liveaction2.result.get("error"))