def test_register_policies(self):
# Note: Only one policy should be registered since second one fails validation
pack_dir = os.path.join(fixturesloader.get_fixtures_base_path(), "dummy_pack_1")
self.assertEqual(register_policies(pack_dir=pack_dir), 1)
p1 = Policy.get_by_ref("dummy_pack_1.test_policy_1")
self.assertEqual(p1.name, "test_policy_1")
self.assertEqual(p1.pack, "dummy_pack_1")
self.assertEqual(p1.resource_ref, "dummy_pack_1.local")
self.assertEqual(p1.policy_type, "action.concurrency")
p2 = Policy.get_by_ref("dummy_pack_1.test_policy_2")
self.assertEqual(p2, None)
def test_register_policies_from_pack(self):
pack_dir = os.path.join(get_fixtures_packs_base_path(), 'dummy_pack_1')
self.assertEqual(register_policies(pack_dir=pack_dir), 2)
p1 = Policy.get_by_ref('dummy_pack_1.test_policy_1')
self.assertEqual(p1.name, 'test_policy_1')
self.assertEqual(p1.pack, 'dummy_pack_1')
self.assertEqual(p1.resource_ref, 'dummy_pack_1.local')
self.assertEqual(p1.policy_type, 'action.concurrency')
# Verify that a default value for parameter "action" which isn't provided in the file is set
self.assertEqual(p1.parameters['action'], 'delay')
p2 = Policy.get_by_ref('dummy_pack_1.test_policy_2')
self.assertEqual(p2, None)
def test_register_policies_from_pack(self):
pack_dir = os.path.join(get_fixtures_packs_base_path(), 'dummy_pack_1')
self.assertEqual(register_policies(pack_dir=pack_dir), 2)
p1 = Policy.get_by_ref('dummy_pack_1.test_policy_1')
self.assertEqual(p1.name, 'test_policy_1')
self.assertEqual(p1.pack, 'dummy_pack_1')
self.assertEqual(p1.resource_ref, 'dummy_pack_1.local')
self.assertEqual(p1.policy_type, 'action.concurrency')
# Verify that a default value for parameter "action" which isn't provided in the file is set
self.assertEqual(p1.parameters['action'], 'delay')
p2 = Policy.get_by_ref('dummy_pack_1.test_policy_2')
self.assertEqual(p2, None)
def test_register_policies(self):
# Note: Only one policy should be registered since second one fails validation
pack_dir = os.path.join(fixturesloader.get_fixtures_base_path(),
'dummy_pack_1')
self.assertEqual(register_policies(pack_dir=pack_dir), 1)
p1 = Policy.get_by_ref('dummy_pack_1.test_policy_1')
self.assertEqual(p1.name, 'test_policy_1')
self.assertEqual(p1.pack, 'dummy_pack_1')
self.assertEqual(p1.resource_ref, 'dummy_pack_1.local')
self.assertEqual(p1.policy_type, 'action.concurrency')
p2 = Policy.get_by_ref('dummy_pack_1.test_policy_2')
self.assertEqual(p2, None)
def test_register_policies_from_pack(self):
pack_dir = os.path.join(get_fixtures_packs_base_path(), "dummy_pack_1")
self.assertEqual(register_policies(pack_dir=pack_dir), 2)
p1 = Policy.get_by_ref("dummy_pack_1.test_policy_1")
self.assertEqual(p1.name, "test_policy_1")
self.assertEqual(p1.pack, "dummy_pack_1")
self.assertEqual(p1.resource_ref, "dummy_pack_1.local")
self.assertEqual(p1.policy_type, "action.concurrency")
# Verify that a default value for parameter "action" which isn't provided in the file is set
self.assertEqual(p1.parameters["action"], "delay")
self.assertEqual(p1.metadata_file, "policies/policy_1.yaml")
p2 = Policy.get_by_ref("dummy_pack_1.test_policy_2")
self.assertEqual(p2, None)
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 = [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_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)
# 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-2", 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 canceled since concurrency threshold is reached.
liveaction = LiveActionDB(
action="wolfpack.action-2", 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()
# 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.
expected_num_exec += 0 # This request will not be scheduled for execution.
self.assertEqual(
expected_num_pubs, LiveActionPublisher.publish_state.call_count
)
self.assertEqual(expected_num_exec, runner.MockActionRunner.run.call_count)
# 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_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')
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(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_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'])
# 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)
# Assert the canceling state is being published.
calls = [
call(liveaction, action_constants.LIVEACTION_STATUS_CANCELING)
]
LiveActionPublisher.publish_state.assert_has_calls(calls)
# Assert the action is canceled.
liveaction = LiveAction.get_by_id(str(liveaction.id))
self.assertEqual(liveaction.status,
action_constants.LIVEACTION_STATUS_CANCELED)
def test_register_policies(self):
pack_dir = os.path.join(fixturesloader.get_fixtures_base_path(), 'dummy_pack_1')
self.assertEqual(register_policies(pack_dir=pack_dir), 2)
p1 = Policy.get_by_ref('dummy_pack_1.test_policy_1')
self.assertEqual(p1.name, 'test_policy_1')
self.assertEqual(p1.pack, 'dummy_pack_1')
self.assertEqual(p1.resource_ref, 'dummy_pack_1.local')
self.assertEqual(p1.policy_type, 'action.concurrency')
p2 = Policy.get_by_ref('dummy_pack_1.test_policy_2')
self.assertEqual(p2.name, 'test_policy_2')
self.assertEqual(p2.pack, 'dummy_pack_1')
self.assertEqual(p2.resource_ref, 'dummy_pack_1.local')
self.assertEqual(p2.policy_type, 'action.mock_policy_error')
self.assertEqual(p2.resource_ref, 'dummy_pack_1.local')
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'})
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.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_on_cancellation(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 = [
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': 'foo'})
liveaction, _ = action_service.request(liveaction)
liveaction = LiveAction.get_by_id(str(liveaction.id))
self.assertEqual(liveaction.status,
action_constants.LIVEACTION_STATUS_DELAYED)
# Cancel execution.
action_service.request_cancellation(scheduled[0], 'stanley')
# Execution is expected to be rescheduled.
liveaction = LiveAction.get_by_id(str(liveaction.id))
self.assertIn(liveaction.status, SCHEDULED_STATES)
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_register_policies(self):
pack_dir = os.path.join(fixturesloader.get_fixtures_base_path(),
'dummy_pack_1')
self.assertEqual(register_policies(pack_dir=pack_dir), 2)
p1 = Policy.get_by_ref('dummy_pack_1.test_policy_1')
self.assertEqual(p1.name, 'test_policy_1')
self.assertEqual(p1.pack, 'dummy_pack_1')
self.assertEqual(p1.resource_ref, 'dummy_pack_1.local')
self.assertEqual(p1.policy_type, 'action.concurrency')
p2 = Policy.get_by_ref('dummy_pack_1.test_policy_2')
self.assertEqual(p2.name, 'test_policy_2')
self.assertEqual(p2.pack, 'dummy_pack_1')
self.assertEqual(p2.resource_ref, 'dummy_pack_1.local')
self.assertEqual(p2.policy_type, 'action.mock_policy_error')
self.assertEqual(p2.resource_ref, 'dummy_pack_1.local')
def test_get_driver(self):
policy_db = Policy.get_by_ref("wolfpack.action-1.concurrency")
policy = get_driver(policy_db.ref, policy_db.policy_type, **policy_db.parameters)
self.assertIsInstance(policy, ResourcePolicyApplicator)
self.assertEqual(policy._policy_ref, policy_db.ref)
self.assertEqual(policy._policy_type, policy_db.policy_type)
self.assertTrue(hasattr(policy, "threshold"))
self.assertEqual(policy.threshold, 3)
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_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))
self.assertEqual(liveaction.status,
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 = self.get_runner_class('mistral_v2')
with mock.patch.object(mistral_runner_cls, 'cancel',
mock.MagicMock(return_value=None)):
# 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)
action_executions.ActionExecutionManager.update.assert_called_once_with(
'12345',
output='{"error": "Execution canceled by user."}',
state='CANCELLED')
liveaction2 = LiveAction.get_by_id(str(liveaction2.id))
self.assertEqual(liveaction2.status,
action_constants.LIVEACTION_STATUS_CANCELED)
# Assert cancel has been called.
mistral_runner_cls.cancel.assert_called_once_with()
def test_get_by_ref(self):
policy_db = Policy.get_by_ref("wolfpack.action-1.concurrency")
self.assertIsNotNone(policy_db)
self.assertEqual(policy_db.pack, "wolfpack")
self.assertEqual(policy_db.name, "action-1.concurrency")
policy_type_db = PolicyType.get_by_ref(policy_db.policy_type)
self.assertIsNotNone(policy_type_db)
self.assertEqual(policy_type_db.resource_type, "action")
self.assertEqual(policy_type_db.name, "concurrency")
def test_get_by_ref(self):
policy_db = Policy.get_by_ref("wolfpack.action-1.concurrency")
self.assertIsNotNone(policy_db)
self.assertEqual(policy_db.pack, "wolfpack")
self.assertEqual(policy_db.name, "action-1.concurrency")
policy_type_db = PolicyType.get_by_ref(policy_db.policy_type)
self.assertIsNotNone(policy_type_db)
self.assertEqual(policy_type_db.resource_type, "action")
self.assertEqual(policy_type_db.name, "concurrency")
def test_get_by_ref(self):
policy_db = Policy.get_by_ref('wolfpack.action-1.concurrency')
self.assertIsNotNone(policy_db)
self.assertEqual(policy_db.pack, 'wolfpack')
self.assertEqual(policy_db.name, 'action-1.concurrency')
policy_type_db = PolicyType.get_by_ref(policy_db.policy_type)
self.assertIsNotNone(policy_type_db)
self.assertEqual(policy_type_db.resource_type, 'action')
self.assertEqual(policy_type_db.name, 'concurrency')
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_cancel_on_task_action_concurrency(self):
# Delete other policies in the test pack to avoid conflicts.
required_policy = 'mistral_tests.cancel_on_concurrency'
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)
# Launch instances of the workflow up to threshold.
for i in range(0, threshold):
liveaction = LiveActionDB(action=WF1_NAME, parameters={'friend': 'friend' + str(i)})
liveaction, execution1 = action_service.request(liveaction)
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)
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'
}
params = {'friend': 'grande animalerie'}
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_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'])
# 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)
liveaction = LiveAction.get_by_id(str(liveaction.id))
self.assertEqual(liveaction.status, action_constants.LIVEACTION_STATUS_CANCELED)
def test_over_threshold_delay_executions(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 = [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': 'foo'})
liveaction, _ = action_service.request(liveaction)
expected_num_exec += 1 # This request is expected to be executed.
expected_num_pubs += 1 # Tally requested state.
# Assert the action is delayed.
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)
expected_num_pubs += 1 # Tally requested state.
# Once capacity freed up, the delayed execution is published as requested again.
expected_num_pubs += 3 # Tally requested, 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_on_cancellation(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 = [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_exec += 1 # This request will be scheduled for execution.
expected_num_pubs += 1 # Tally requested state.
# Assert the action is delayed.
liveaction = LiveAction.get_by_id(str(liveaction.id))
self.assertEqual(liveaction.status, action_constants.LIVEACTION_STATUS_DELAYED)
# Cancel execution.
action_service.request_cancellation(scheduled[0], 'stanley')
expected_num_pubs += 2 # Tally the canceling and canceled states.
# Once capacity freed up, the delayed execution is published as requested again.
expected_num_pubs += 3 # Tally requested, 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_on_cancellation(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 = [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': 'foo'})
liveaction, _ = action_service.request(liveaction)
liveaction = LiveAction.get_by_id(str(liveaction.id))
self.assertEqual(liveaction.status, action_constants.LIVEACTION_STATUS_DELAYED)
# Cancel execution.
action_service.request_cancellation(scheduled[0], 'stanley')
# 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")
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 = [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": "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_on_cancellation(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'])
# 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)
# Cancel execution.
action_service.request_cancellation(scheduled[0], 'stanley')
expected_num_pubs += 2 # Tally the canceling and canceled states.
# 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_delay_executions(self):
# Ensure the concurrency policy is accurate.
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'])
# 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': 'foo-last'})
liveaction, _ = action_service.request(liveaction)
expected_num_exec += 1 # This request is expected to be executed.
expected_num_pubs += 1 # Tally requested state.
# 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)
# Mark one of the scheduled/running execution as completed.
action_service.update_status(
scheduled[0],
action_constants.LIVEACTION_STATUS_SUCCEEDED,
publish=True)
expected_num_pubs += 1 # Tally requested state.
# Once capacity freed up, the delayed execution is published as requested again.
expected_num_pubs += 3 # Tally requested, scheduled, and running state.
# Run the scheduler to schedule action executions.
self._process_scheduling_queue()
# Since states are being processed async, wait for the liveaction to be scheduled.
liveaction = self._wait_on_statuses(liveaction, 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):
# Ensure the concurrency policy is accurate.
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'])
# 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': 'foo-last'})
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)
# Mark one of the scheduled/running execution as completed.
action_service.update_status(
scheduled[0],
action_constants.LIVEACTION_STATUS_SUCCEEDED,
publish=True
)
expected_num_pubs += 1 # Tally succeeded state.
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 scheduled.
expected_num_exec += 1 # This request is expected to be executed.
expected_num_pubs += 2 # Tally scheduled and running state.
# Since states are being processed async, wait for the liveaction to be scheduled.
liveaction = self._wait_on_statuses(liveaction, SCHEDULED_STATES)
self.assertEqual(expected_num_pubs, LiveActionPublisher.publish_state.call_count)
self.assertEqual(expected_num_exec, runner.MockActionRunner.run.call_count)
# Check the status changes.
execution = ActionExecution.get(liveaction__id=str(liveaction.id))
expected_status_changes = ['requested', 'delayed', 'requested', 'scheduled', 'running']
actual_status_changes = [entry['status'] for entry in execution.log]
self.assertListEqual(actual_status_changes, expected_status_changes)
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'])
# Launch action executions until the expected threshold is reached.
for i in range(0, policy_db.parameters['threshold']):
liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'foo'})
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'])
# 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': '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 asynchronously, 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)
# 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)
# Run the scheduler to schedule action executions.
self._process_scheduling_queue()
# Since states are being processed asynchronously, wait for the
# liveaction to go into scheduled state.
liveaction = self._wait_on_statuses(liveaction, SCHEDULED_STATES)
expected_num_exec += 1 # This request is expected to be executed.
expected_num_pubs += 3 # Tally requested, scheduled, and running state.
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.
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.
liveaction = self._wait_on_statuses(liveaction, SCHEDULED_STATES)
expected_num_exec += 1 # The delayed request is expected to be executed.
expected_num_pubs += 2 # Tally scheduled and running state.
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_over_threshold_delay_executions(self):
# Ensure the concurrency policy is accurate.
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"])
# 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": "foo-last"})
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)
# Mark one of the scheduled/running execution as completed.
action_service.update_status(
scheduled[0],
action_constants.LIVEACTION_STATUS_SUCCEEDED,
publish=True)
expected_num_pubs += 1 # Tally succeeded state.
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 scheduled.
expected_num_exec += 1 # This request is expected to be executed.
expected_num_pubs += 2 # Tally scheduled and running state.
# Since states are being processed async, wait for the liveaction to be scheduled.
liveaction = self._wait_on_statuses(liveaction, SCHEDULED_STATES)
self.assertEqual(expected_num_pubs,
LiveActionPublisher.publish_state.call_count)
self.assertEqual(expected_num_exec,
runner.MockActionRunner.run.call_count)
# Check the status changes.
execution = ActionExecution.get(liveaction__id=str(liveaction.id))
expected_status_changes = [
"requested",
"delayed",
"requested",
"scheduled",
"running",
]
actual_status_changes = [entry["status"] for entry in execution.log]
self.assertListEqual(actual_status_changes, expected_status_changes)
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"])
# Launch action executions until the expected threshold is reached.
for i in range(0, policy_db.parameters["threshold"]):
liveaction = LiveActionDB(
action="wolfpack.action-1", parameters={"actionstr": "foo"}
)
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"])
# 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": "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 asynchronously, 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)
# 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)
# Run the scheduler to schedule action executions.
self._process_scheduling_queue()
# Since states are being processed asynchronously, wait for the
# liveaction to go into scheduled state.
liveaction = self._wait_on_statuses(liveaction, SCHEDULED_STATES)
expected_num_exec += 1 # This request is expected to be executed.
expected_num_pubs += 3 # Tally requested, scheduled, and running state.
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.
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.
liveaction = self._wait_on_statuses(liveaction, SCHEDULED_STATES)
expected_num_exec += 1 # The delayed request is expected to be executed.
expected_num_pubs += 2 # Tally scheduled and running state.
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)
for i in range(0, policy_db.parameters['threshold']):
liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'foo'})
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'])
# 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_exec += 1 # This request will be scheduled for execution.
expected_num_pubs += 1 # Tally requested state.
# Since states are being processed asynchronously, wait for the
# liveaction to go into delayed state.
for i in range(0, 100):
eventlet.sleep(1)
liveaction = LiveAction.get_by_id(str(liveaction.id))
if liveaction.status == action_constants.LIVEACTION_STATUS_DELAYED:
break
# Assert the action is delayed.
liveaction = LiveAction.get_by_id(str(liveaction.id))
self.assertEqual(liveaction.status, action_constants.LIVEACTION_STATUS_DELAYED)
# Cancel execution.
action_service.request_cancellation(scheduled[0], 'stanley')
expected_num_pubs += 2 # Tally the canceling and canceled states.
# Once capacity freed up, the delayed execution is published as requested again.
expected_num_pubs += 3 # Tally requested, scheduled, and running state.
# Since states are being processed asynchronously, wait for the
# liveaction to go into scheduled state.
for i in range(0, 100):
eventlet.sleep(1)
liveaction = LiveAction.get_by_id(str(liveaction.id))
if liveaction.status in SCHEDULED_STATES:
break
# 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_on_cancellation(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'])
# Launch action executions until the expected threshold is reached.
for i in range(0, policy_db.parameters['threshold']):
liveaction = LiveActionDB(action='wolfpack.action-1', parameters={'actionstr': 'foo'})
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 asynchronously, wait for the
# liveaction to go into delayed state.
liveaction = self._wait_on_status(liveaction, action_constants.LIVEACTION_STATUS_DELAYED)
delayed = liveaction
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)
# 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)
# Run the scheduler to schedule action executions.
self._process_scheduling_queue()
# Since states are being processed asynchronously, wait for the
# liveaction to go into scheduled state.
liveaction = self._wait_on_statuses(liveaction, SCHEDULED_STATES)
expected_num_exec += 1 # This request is expected to be executed.
expected_num_pubs += 3 # Tally requested, scheduled, and running states.
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 # The delayed request is expected to be executed.
expected_num_pubs += 2 # Tally scheduled and running state.
self.assertEqual(expected_num_pubs, LiveActionPublisher.publish_state.call_count)
self.assertEqual(expected_num_exec, runner.MockActionRunner.run.call_count)
# Since states are being processed asynchronously, wait for the
# liveaction to go into scheduled state.
liveaction = LiveAction.get_by_id(str(delayed.id))
liveaction = self._wait_on_statuses(liveaction, SCHEDULED_STATES)
def test_on_cancellation(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)
# 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'])
# 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.
# Since states are being processed asynchronously, wait for the
# liveaction to go into delayed state.
for i in range(0, 100):
eventlet.sleep(1)
liveaction = LiveAction.get_by_id(str(liveaction.id))
if liveaction.status == action_constants.LIVEACTION_STATUS_DELAYED:
break
# 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.
# Since states are being processed asynchronously, wait for the
# liveaction to go into scheduled state.
for i in range(0, 100):
eventlet.sleep(1)
liveaction = LiveAction.get_by_id(str(liveaction.id))
if liveaction.status in SCHEDULED_STATES:
break
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)
# Cancel execution.
action_service.request_cancellation(scheduled[0], 'stanley')
expected_num_pubs += 2 # Tally the canceling and canceled states.
# 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.
# Since states are being processed asynchronously, wait for the
# liveaction to go into scheduled state.
for i in range(0, 100):
eventlet.sleep(1)
liveaction = LiveAction.get_by_id(str(liveaction.id))
if liveaction.status in SCHEDULED_STATES:
break
# 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)
