class BatchEventProcessorTest(base.BaseTest):
DEFAULT_QUEUE_CAPACITY = 1000
MAX_BATCH_SIZE = 10
MAX_DURATION_SEC = 0.2
MAX_TIMEOUT_INTERVAL_SEC = 0.1
TEST_TIMEOUT = 0.3
def setUp(self, *args, **kwargs):
base.BaseTest.setUp(self, 'config_dict_with_multiple_experiments')
self.test_user_id = 'test_user'
self.event_name = 'test_event'
self.event_queue = queue.Queue(maxsize=self.DEFAULT_QUEUE_CAPACITY)
self.optimizely.logger = NoOpLogger()
self.notification_center = self.optimizely.notification_center
def tearDown(self):
self.event_processor.stop()
def _build_conversion_event(self, event_name, project_config=None):
config = project_config or self.project_config
return UserEventFactory.create_conversion_event(
config, event_name, self.test_user_id, {}, {})
def _set_event_processor(self, event_dispatcher, logger):
self.event_processor = BatchEventProcessor(
event_dispatcher,
logger,
True,
self.event_queue,
self.MAX_BATCH_SIZE,
self.MAX_DURATION_SEC,
self.MAX_TIMEOUT_INTERVAL_SEC,
self.optimizely.notification_center,
)
def test_drain_on_stop(self):
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self._set_event_processor(event_dispatcher, mock_config_logging)
user_event = self._build_conversion_event(self.event_name)
self.event_processor.process(user_event)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
time.sleep(self.TEST_TIMEOUT)
self.assertStrictTrue(event_dispatcher.compare_events())
self.assertEqual(0, self.event_processor.event_queue.qsize())
def test_flush_on_max_timeout(self):
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self._set_event_processor(event_dispatcher, mock_config_logging)
user_event = self._build_conversion_event(self.event_name)
self.event_processor.process(user_event)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
time.sleep(self.TEST_TIMEOUT)
self.assertStrictTrue(event_dispatcher.compare_events())
self.assertEqual(0, self.event_processor.event_queue.qsize())
def test_flush_once_max_timeout(self):
event_dispatcher = CustomEventDispatcher()
self.optimizely.logger = NoOpLogger()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self._set_event_processor(event_dispatcher, mock_config_logging)
user_event = self._build_conversion_event(self.event_name)
self.event_processor.process(user_event)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
time.sleep(self.TEST_TIMEOUT)
self.assertStrictTrue(event_dispatcher.compare_events())
self.assertEqual(0, self.event_processor.event_queue.qsize())
self.assertTrue(mock_config_logging.debug.called)
mock_config_logging.debug.assert_any_call(
'Received event of type ConversionEvent for user test_user.')
mock_config_logging.debug.assert_any_call('Flushing batch size 1')
mock_config_logging.debug.assert_any_call(
'Flush interval deadline. Flushed batch.')
self.assertTrue(mock_config_logging.debug.call_count == 3)
self.optimizely.logger = NoOpLogger()
def test_flush_max_batch_size(self):
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self._set_event_processor(event_dispatcher, mock_config_logging)
for i in range(0, self.MAX_BATCH_SIZE):
user_event = self._build_conversion_event(self.event_name)
self.event_processor.process(user_event)
event_dispatcher.expect_conversion(self.event_name,
self.test_user_id)
time.sleep(self.TEST_TIMEOUT)
self.assertStrictTrue(event_dispatcher.compare_events())
self.assertEqual(0, self.event_processor.event_queue.qsize())
def test_flush(self):
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self._set_event_processor(event_dispatcher, mock_config_logging)
user_event = self._build_conversion_event(self.event_name)
self.event_processor.process(user_event)
self.event_processor.flush()
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
self.event_processor.process(user_event)
self.event_processor.flush()
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
time.sleep(self.TEST_TIMEOUT)
self.assertStrictTrue(event_dispatcher.compare_events())
self.assertEqual(0, self.event_processor.event_queue.qsize())
def test_flush_on_mismatch_revision(self):
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self._set_event_processor(event_dispatcher, mock_config_logging)
self.project_config.revision = 1
self.project_config.project_id = 'X'
user_event_1 = self._build_conversion_event(self.event_name,
self.project_config)
self.event_processor.process(user_event_1)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
self.project_config.revision = 2
self.project_config.project_id = 'X'
user_event_2 = self._build_conversion_event(self.event_name,
self.project_config)
self.event_processor.process(user_event_2)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
time.sleep(self.TEST_TIMEOUT)
self.assertStrictTrue(event_dispatcher.compare_events())
self.assertEqual(0, self.event_processor.event_queue.qsize())
def test_flush_on_mismatch_project_id(self):
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self._set_event_processor(event_dispatcher, mock_config_logging)
self.project_config.revision = 1
self.project_config.project_id = 'X'
user_event_1 = self._build_conversion_event(self.event_name,
self.project_config)
self.event_processor.process(user_event_1)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
self.project_config.revision = 1
self.project_config.project_id = 'Y'
user_event_2 = self._build_conversion_event(self.event_name,
self.project_config)
self.event_processor.process(user_event_2)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
time.sleep(self.TEST_TIMEOUT)
self.assertStrictTrue(event_dispatcher.compare_events())
self.assertEqual(0, self.event_processor.event_queue.qsize())
def test_stop_and_start(self):
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self._set_event_processor(event_dispatcher, mock_config_logging)
user_event = self._build_conversion_event(self.event_name,
self.project_config)
self.event_processor.process(user_event)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
time.sleep(self.TEST_TIMEOUT)
self.assertStrictTrue(event_dispatcher.compare_events())
self.event_processor.stop()
self.event_processor.process(user_event)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
self.event_processor.start()
self.assertStrictTrue(self.event_processor.is_running)
self.event_processor.stop()
self.assertStrictFalse(self.event_processor.is_running)
self.assertEqual(0, self.event_processor.event_queue.qsize())
def test_init__invalid_batch_size(self):
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
self.optimizely.logger,
True,
self.event_queue,
5.5,
self.MAX_DURATION_SEC,
self.MAX_TIMEOUT_INTERVAL_SEC,
)
# default batch size is 10.
self.assertEqual(10, self.event_processor.batch_size)
mock_config_logging.info.assert_called_with(
'Using default value 10 for batch_size.')
def test_init__NaN_batch_size(self):
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
self.optimizely.logger,
True,
self.event_queue,
'batch_size',
self.MAX_DURATION_SEC,
self.MAX_TIMEOUT_INTERVAL_SEC,
)
# default batch size is 10.
self.assertEqual(10, self.event_processor.batch_size)
mock_config_logging.info.assert_called_with(
'Using default value 10 for batch_size.')
def test_init__invalid_flush_interval(self):
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
mock_config_logging,
True,
self.event_queue,
self.MAX_BATCH_SIZE,
0,
self.MAX_TIMEOUT_INTERVAL_SEC,
)
# default flush interval is 30s.
self.assertEqual(datetime.timedelta(seconds=30),
self.event_processor.flush_interval)
mock_config_logging.info.assert_called_with(
'Using default value 30 for flush_interval.')
def test_init__float_flush_interval(self):
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
mock_config_logging,
True,
self.event_queue,
self.MAX_BATCH_SIZE,
0.5,
self.MAX_TIMEOUT_INTERVAL_SEC,
)
# default flush interval is 30s.
self.assertEqual(datetime.timedelta(seconds=0.5),
self.event_processor.flush_interval)
def test_init__float_flush_deadline(self):
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
mock_config_logging,
True,
self.event_queue,
self.MAX_BATCH_SIZE,
0.5,
self.MAX_TIMEOUT_INTERVAL_SEC,
)
# default flush interval is 30s.
self.assertTrue(
isinstance(self.event_processor.flushing_interval_deadline, float))
def test_init__bool_flush_interval(self):
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
self.optimizely.logger,
True,
self.event_queue,
self.MAX_BATCH_SIZE,
True,
self.MAX_TIMEOUT_INTERVAL_SEC,
)
# default flush interval is 30s.
self.assertEqual(datetime.timedelta(seconds=30),
self.event_processor.flush_interval)
mock_config_logging.info.assert_called_with(
'Using default value 30 for flush_interval.')
def test_init__string_flush_interval(self):
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
self.optimizely.logger,
True,
self.event_queue,
self.MAX_BATCH_SIZE,
'True',
self.MAX_TIMEOUT_INTERVAL_SEC,
)
# default flush interval is 30s.
self.assertEqual(datetime.timedelta(seconds=30),
self.event_processor.flush_interval)
mock_config_logging.info.assert_called_with(
'Using default value 30 for flush_interval.')
def test_init__invalid_timeout_interval(self):
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
self.optimizely.logger,
True,
self.event_queue,
self.MAX_BATCH_SIZE,
self.MAX_DURATION_SEC,
-100,
)
# default timeout interval is 5s.
self.assertEqual(datetime.timedelta(seconds=5),
self.event_processor.timeout_interval)
mock_config_logging.info.assert_called_with(
'Using default value 5 for timeout_interval.')
def test_init__NaN_timeout_interval(self):
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
self.optimizely.logger,
True,
self.event_queue,
self.MAX_BATCH_SIZE,
self.MAX_DURATION_SEC,
False,
)
# default timeout interval is 5s.
self.assertEqual(datetime.timedelta(seconds=5),
self.event_processor.timeout_interval)
mock_config_logging.info.assert_called_with(
'Using default value 5 for timeout_interval.')
def test_notification_center__on_log_event(self):
mock_event_dispatcher = mock.Mock()
callback_hit = [False]
def on_log_event(log_event):
self.assertStrictTrue(isinstance(log_event, LogEvent))
callback_hit[0] = True
self.optimizely.notification_center.add_notification_listener(
enums.NotificationTypes.LOG_EVENT, on_log_event)
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self._set_event_processor(mock_event_dispatcher,
mock_config_logging)
user_event = self._build_conversion_event(self.event_name,
self.project_config)
self.event_processor.process(user_event)
self.event_processor.stop()
self.assertEqual(True, callback_hit[0])
self.assertEqual(
1,
len(self.optimizely.notification_center.notification_listeners[
enums.NotificationTypes.LOG_EVENT]),
)
def test_warning_log_level_on_queue_overflow(self):
""" Test that a warning log is created when events overflow the queue. """
# create scenario where the batch size (MAX_BATCH_SIZE) is significantly larger than the queue size
# use smaller batch size and higher timeout to avoid test flakiness
test_max_queue_size = 10
self.MAX_BATCH_SIZE = 1000
event_dispatcher = CustomEventDispatcher()
with mock.patch.object(self.optimizely,
'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
self.optimizely.logger,
True,
queue.Queue(maxsize=test_max_queue_size),
)
for i in range(0, self.MAX_BATCH_SIZE):
user_event = self._build_conversion_event(self.event_name)
self.event_processor.process(user_event)
event_dispatcher.expect_conversion(self.event_name,
self.test_user_id)
time.sleep(self.TEST_TIMEOUT)
# queue is flushed, even though events overflow
self.assertEqual(0, self.event_processor.event_queue.qsize())
mock_config_logging.warning.assert_called_with(
'Payload not accepted by the queue. Current size: {}'.format(
str(test_max_queue_size)))
class BatchEventProcessorTest(base.BaseTest):
DEFAULT_QUEUE_CAPACITY = 1000
MAX_BATCH_SIZE = 10
MAX_DURATION_SEC = 1
MAX_TIMEOUT_INTERVAL_SEC = 5
def setUp(self, *args, **kwargs):
base.BaseTest.setUp(self, 'config_dict_with_multiple_experiments')
self.test_user_id = 'test_user'
self.event_name = 'test_event'
self.event_queue = queue.Queue(maxsize=self.DEFAULT_QUEUE_CAPACITY)
self.optimizely.logger = SimpleLogger()
self.notification_center = self.optimizely.notification_center
def tearDown(self):
self.event_processor.stop()
def _build_conversion_event(self, event_name, project_config=None):
config = project_config or self.project_config
return UserEventFactory.create_conversion_event(config, event_name, self.test_user_id, {}, {})
def _set_event_processor(self, event_dispatcher, logger):
self.event_processor = BatchEventProcessor(
event_dispatcher,
logger,
True,
self.event_queue,
self.MAX_BATCH_SIZE,
self.MAX_DURATION_SEC,
self.MAX_TIMEOUT_INTERVAL_SEC,
self.optimizely.notification_center,
)
def test_drain_on_stop(self):
event_dispatcher = TestEventDispatcher()
with mock.patch.object(self.optimizely, 'logger') as mock_config_logging:
self._set_event_processor(event_dispatcher, mock_config_logging)
user_event = self._build_conversion_event(self.event_name)
self.event_processor.process(user_event)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
time.sleep(5)
self.assertStrictTrue(event_dispatcher.compare_events())
self.assertEqual(0, self.event_processor.event_queue.qsize())
def test_flush_on_max_timeout(self):
event_dispatcher = TestEventDispatcher()
with mock.patch.object(self.optimizely, 'logger') as mock_config_logging:
self._set_event_processor(event_dispatcher, mock_config_logging)
user_event = self._build_conversion_event(self.event_name)
self.event_processor.process(user_event)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
time.sleep(3)
self.assertStrictTrue(event_dispatcher.compare_events())
self.assertEqual(0, self.event_processor.event_queue.qsize())
def test_flush_max_batch_size(self):
event_dispatcher = TestEventDispatcher()
with mock.patch.object(self.optimizely, 'logger') as mock_config_logging:
self._set_event_processor(event_dispatcher, mock_config_logging)
for i in range(0, self.MAX_BATCH_SIZE):
user_event = self._build_conversion_event(self.event_name)
self.event_processor.process(user_event)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
time.sleep(1)
self.assertStrictTrue(event_dispatcher.compare_events())
self.assertEqual(0, self.event_processor.event_queue.qsize())
def test_flush(self):
event_dispatcher = TestEventDispatcher()
with mock.patch.object(self.optimizely, 'logger') as mock_config_logging:
self._set_event_processor(event_dispatcher, mock_config_logging)
user_event = self._build_conversion_event(self.event_name)
self.event_processor.process(user_event)
self.event_processor.flush()
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
self.event_processor.process(user_event)
self.event_processor.flush()
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
time.sleep(3)
self.assertStrictTrue(event_dispatcher.compare_events())
self.assertEqual(0, self.event_processor.event_queue.qsize())
def test_flush_on_mismatch_revision(self):
event_dispatcher = TestEventDispatcher()
with mock.patch.object(self.optimizely, 'logger') as mock_config_logging:
self._set_event_processor(event_dispatcher, mock_config_logging)
self.project_config.revision = 1
self.project_config.project_id = 'X'
user_event_1 = self._build_conversion_event(self.event_name, self.project_config)
self.event_processor.process(user_event_1)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
self.project_config.revision = 2
self.project_config.project_id = 'X'
user_event_2 = self._build_conversion_event(self.event_name, self.project_config)
self.event_processor.process(user_event_2)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
time.sleep(3)
self.assertStrictTrue(event_dispatcher.compare_events())
self.assertEqual(0, self.event_processor.event_queue.qsize())
def test_flush_on_mismatch_project_id(self):
event_dispatcher = TestEventDispatcher()
with mock.patch.object(self.optimizely, 'logger') as mock_config_logging:
self._set_event_processor(event_dispatcher, mock_config_logging)
self.project_config.revision = 1
self.project_config.project_id = 'X'
user_event_1 = self._build_conversion_event(self.event_name, self.project_config)
self.event_processor.process(user_event_1)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
self.project_config.revision = 1
self.project_config.project_id = 'Y'
user_event_2 = self._build_conversion_event(self.event_name, self.project_config)
self.event_processor.process(user_event_2)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
time.sleep(3)
self.assertStrictTrue(event_dispatcher.compare_events())
self.assertEqual(0, self.event_processor.event_queue.qsize())
def test_stop_and_start(self):
event_dispatcher = TestEventDispatcher()
with mock.patch.object(self.optimizely, 'logger') as mock_config_logging:
self._set_event_processor(event_dispatcher, mock_config_logging)
user_event = self._build_conversion_event(self.event_name, self.project_config)
self.event_processor.process(user_event)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
time.sleep(3)
self.assertStrictTrue(event_dispatcher.compare_events())
self.event_processor.stop()
self.event_processor.process(user_event)
event_dispatcher.expect_conversion(self.event_name, self.test_user_id)
self.event_processor.start()
self.assertStrictTrue(self.event_processor.is_running)
self.event_processor.stop()
self.assertStrictFalse(self.event_processor.is_running)
self.assertEqual(0, self.event_processor.event_queue.qsize())
def test_init__invalid_batch_size(self):
event_dispatcher = TestEventDispatcher()
with mock.patch.object(self.optimizely, 'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
self.optimizely.logger,
True,
self.event_queue,
5.5,
self.MAX_DURATION_SEC,
self.MAX_TIMEOUT_INTERVAL_SEC,
)
# default batch size is 10.
self.assertEqual(10, self.event_processor.batch_size)
mock_config_logging.info.assert_called_with('Using default value 10 for batch_size.')
def test_init__NaN_batch_size(self):
event_dispatcher = TestEventDispatcher()
with mock.patch.object(self.optimizely, 'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
self.optimizely.logger,
True,
self.event_queue,
'batch_size',
self.MAX_DURATION_SEC,
self.MAX_TIMEOUT_INTERVAL_SEC,
)
# default batch size is 10.
self.assertEqual(10, self.event_processor.batch_size)
mock_config_logging.info.assert_called_with('Using default value 10 for batch_size.')
def test_init__invalid_flush_interval(self):
event_dispatcher = TestEventDispatcher()
with mock.patch.object(self.optimizely, 'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
mock_config_logging,
True,
self.event_queue,
self.MAX_BATCH_SIZE,
0,
self.MAX_TIMEOUT_INTERVAL_SEC,
)
# default flush interval is 30s.
self.assertEqual(datetime.timedelta(seconds=30), self.event_processor.flush_interval)
mock_config_logging.info.assert_called_with('Using default value 30 for flush_interval.')
def test_init__bool_flush_interval(self):
event_dispatcher = TestEventDispatcher()
with mock.patch.object(self.optimizely, 'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
self.optimizely.logger,
True,
self.event_queue,
self.MAX_BATCH_SIZE,
True,
self.MAX_TIMEOUT_INTERVAL_SEC,
)
# default flush interval is 30s.
self.assertEqual(datetime.timedelta(seconds=30), self.event_processor.flush_interval)
mock_config_logging.info.assert_called_with('Using default value 30 for flush_interval.')
def test_init__string_flush_interval(self):
event_dispatcher = TestEventDispatcher()
with mock.patch.object(self.optimizely, 'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
self.optimizely.logger,
True,
self.event_queue,
self.MAX_BATCH_SIZE,
'True',
self.MAX_TIMEOUT_INTERVAL_SEC,
)
# default flush interval is 30s.
self.assertEqual(datetime.timedelta(seconds=30), self.event_processor.flush_interval)
mock_config_logging.info.assert_called_with('Using default value 30 for flush_interval.')
def test_init__invalid_timeout_interval(self):
event_dispatcher = TestEventDispatcher()
with mock.patch.object(self.optimizely, 'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
self.optimizely.logger,
True,
self.event_queue,
self.MAX_BATCH_SIZE,
self.MAX_DURATION_SEC,
-100,
)
# default timeout interval is 5s.
self.assertEqual(datetime.timedelta(seconds=5), self.event_processor.timeout_interval)
mock_config_logging.info.assert_called_with('Using default value 5 for timeout_interval.')
def test_init__NaN_timeout_interval(self):
event_dispatcher = TestEventDispatcher()
with mock.patch.object(self.optimizely, 'logger') as mock_config_logging:
self.event_processor = BatchEventProcessor(
event_dispatcher,
self.optimizely.logger,
True,
self.event_queue,
self.MAX_BATCH_SIZE,
self.MAX_DURATION_SEC,
False,
)
# default timeout interval is 5s.
self.assertEqual(datetime.timedelta(seconds=5), self.event_processor.timeout_interval)
mock_config_logging.info.assert_called_with('Using default value 5 for timeout_interval.')
def test_notification_center__on_log_event(self):
mock_event_dispatcher = mock.Mock()
callback_hit = [False]
def on_log_event(log_event):
self.assertStrictTrue(isinstance(log_event, LogEvent))
callback_hit[0] = True
self.optimizely.notification_center.add_notification_listener(enums.NotificationTypes.LOG_EVENT, on_log_event)
with mock.patch.object(self.optimizely, 'logger') as mock_config_logging:
self._set_event_processor(mock_event_dispatcher, mock_config_logging)
user_event = self._build_conversion_event(self.event_name, self.project_config)
self.event_processor.process(user_event)
self.event_processor.stop()
self.assertEqual(True, callback_hit[0])
self.assertEqual(
1, len(self.optimizely.notification_center.notification_listeners[enums.NotificationTypes.LOG_EVENT]),
)