本文整理汇总了Python中st2common.persistence.action.LiveAction类的典型用法代码示例。如果您正苦于以下问题:Python LiveAction类的具体用法?Python LiveAction怎么用?Python LiveAction使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了LiveAction类的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_over_threshold_cancel_executions
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)
示例2: test_over_threshold
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)
示例3: test_chained_executions
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')
示例4: _purge_action_models
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))
示例5: test_no_retry_on_non_applicable_statuses
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))
示例6: test_over_threshold
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)
示例7: test_over_threshold
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)
示例8: test_over_threshold_delay_executions
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)
示例9: test_execution_creation_action_triggered_by_rule
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))
示例10: test_no_retry_on_workflow_task
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)
示例11: test_retry_on_timeout_max_retries_reached
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)
示例12: test_on_cancellation
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)
示例13: test_over_threshold_delay_executions
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)
示例14: test_over_threshold_cancel_executions
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)
示例15: _update_action_results
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