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test_optimizely.py
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# Copyright 2016-2021, Optimizely
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import json
import mock
from operator import itemgetter
from optimizely import config_manager
from optimizely import decision_service
from optimizely import entities
from optimizely import error_handler
from optimizely import event_builder
from optimizely import exceptions
from optimizely import logger
from optimizely import optimizely
from optimizely import optimizely_config
from optimizely import project_config
from optimizely import version
from optimizely.event.event_factory import EventFactory
from optimizely.helpers import enums
from . import base
class OptimizelyTest(base.BaseTest):
strTest = None
try:
isinstance("test", basestring) # attempt to evaluate basestring
_expected_notification_failure = 'Problem calling notify callback.'
def isstr(self, s):
return isinstance(s, basestring)
strTest = isstr
except NameError:
def isstr(self, s):
return isinstance(s, str)
strTest = isstr
def _validate_event_object(self, event_obj, expected_url, expected_params, expected_verb, expected_headers):
""" Helper method to validate properties of the event object. """
self.assertEqual(expected_url, event_obj.get('url'))
event_params = event_obj.get('params')
expected_params['visitors'][0]['attributes'] = sorted(
expected_params['visitors'][0]['attributes'], key=itemgetter('key')
)
event_params['visitors'][0]['attributes'] = sorted(
event_params['visitors'][0]['attributes'], key=itemgetter('key')
)
self.assertEqual(expected_params, event_params)
self.assertEqual(expected_verb, event_obj.get('http_verb'))
self.assertEqual(expected_headers, event_obj.get('headers'))
def _validate_event_object_event_tags(
self, event_obj, expected_event_metric_params, expected_event_features_params
):
""" Helper method to validate properties of the event object related to event tags. """
event_params = event_obj.get('params')
# get event metrics from the created event object
event_metrics = event_params['visitors'][0]['snapshots'][0]['events'][0]['tags']
self.assertEqual(expected_event_metric_params, event_metrics)
# get event features from the created event object
event_features = event_params['visitors'][0]['attributes'][0]
self.assertEqual(expected_event_features_params, event_features)
def test_init__invalid_datafile__logs_error(self):
""" Test that invalid datafile logs error on init. """
mock_client_logger = mock.MagicMock()
with mock.patch('optimizely.logger.reset_logger', return_value=mock_client_logger):
opt_obj = optimizely.Optimizely('invalid_datafile')
mock_client_logger.error.assert_called_once_with('Provided "datafile" is in an invalid format.')
self.assertIsNone(opt_obj.config_manager.get_config())
def test_init__null_datafile__logs_error(self):
""" Test that null datafile logs error on init. """
mock_client_logger = mock.MagicMock()
with mock.patch('optimizely.logger.reset_logger', return_value=mock_client_logger):
opt_obj = optimizely.Optimizely(None)
mock_client_logger.error.assert_called_once_with('Provided "datafile" is in an invalid format.')
self.assertIsNone(opt_obj.config_manager.get_config())
def test_init__empty_datafile__logs_error(self):
""" Test that empty datafile logs error on init. """
mock_client_logger = mock.MagicMock()
with mock.patch('optimizely.logger.reset_logger', return_value=mock_client_logger):
opt_obj = optimizely.Optimizely("")
mock_client_logger.error.assert_called_once_with('Provided "datafile" is in an invalid format.')
self.assertIsNone(opt_obj.config_manager.get_config())
def test_init__invalid_config_manager__logs_error(self):
""" Test that invalid config_manager logs error on init. """
class InvalidConfigManager(object):
pass
mock_client_logger = mock.MagicMock()
with mock.patch('optimizely.logger.reset_logger', return_value=mock_client_logger):
opt_obj = optimizely.Optimizely(json.dumps(self.config_dict), config_manager=InvalidConfigManager())
mock_client_logger.exception.assert_called_once_with('Provided "config_manager" is in an invalid format.')
self.assertFalse(opt_obj.is_valid)
def test_init__invalid_event_dispatcher__logs_error(self):
""" Test that invalid event_dispatcher logs error on init. """
class InvalidDispatcher(object):
pass
mock_client_logger = mock.MagicMock()
with mock.patch('optimizely.logger.reset_logger', return_value=mock_client_logger):
opt_obj = optimizely.Optimizely(json.dumps(self.config_dict), event_dispatcher=InvalidDispatcher)
mock_client_logger.exception.assert_called_once_with('Provided "event_dispatcher" is in an invalid format.')
self.assertFalse(opt_obj.is_valid)
def test_init__invalid_event_processor__logs_error(self):
""" Test that invalid event_processor logs error on init. """
class InvalidProcessor(object):
pass
mock_client_logger = mock.MagicMock()
with mock.patch('optimizely.logger.reset_logger', return_value=mock_client_logger):
opt_obj = optimizely.Optimizely(json.dumps(self.config_dict), event_processor=InvalidProcessor)
mock_client_logger.exception.assert_called_once_with('Provided "event_processor" is in an invalid format.')
self.assertFalse(opt_obj.is_valid)
def test_init__invalid_logger__logs_error(self):
""" Test that invalid logger logs error on init. """
class InvalidLogger(object):
pass
mock_client_logger = mock.MagicMock()
with mock.patch('optimizely.logger.reset_logger', return_value=mock_client_logger):
opt_obj = optimizely.Optimizely(json.dumps(self.config_dict), logger=InvalidLogger)
mock_client_logger.exception.assert_called_once_with('Provided "logger" is in an invalid format.')
self.assertFalse(opt_obj.is_valid)
def test_init__invalid_error_handler__logs_error(self):
""" Test that invalid error_handler logs error on init. """
class InvalidErrorHandler(object):
pass
mock_client_logger = mock.MagicMock()
with mock.patch('optimizely.logger.reset_logger', return_value=mock_client_logger):
opt_obj = optimizely.Optimizely(json.dumps(self.config_dict), error_handler=InvalidErrorHandler)
mock_client_logger.exception.assert_called_once_with('Provided "error_handler" is in an invalid format.')
self.assertFalse(opt_obj.is_valid)
def test_init__invalid_notification_center__logs_error(self):
""" Test that invalid notification_center logs error on init. """
class InvalidNotificationCenter(object):
pass
mock_client_logger = mock.MagicMock()
with mock.patch('optimizely.logger.reset_logger', return_value=mock_client_logger):
opt_obj = optimizely.Optimizely(
json.dumps(self.config_dict), notification_center=InvalidNotificationCenter(),
)
mock_client_logger.exception.assert_called_once_with('Provided "notification_center" is in an invalid format.')
self.assertFalse(opt_obj.is_valid)
def test_init__unsupported_datafile_version__logs_error(self):
""" Test that datafile with unsupported version logs error on init. """
mock_client_logger = mock.MagicMock()
with mock.patch('optimizely.logger.reset_logger', return_value=mock_client_logger), mock.patch(
'optimizely.error_handler.NoOpErrorHandler.handle_error'
) as mock_error_handler:
opt_obj = optimizely.Optimizely(json.dumps(self.config_dict_with_unsupported_version))
mock_client_logger.error.assert_called_once_with(
'This version of the Python SDK does not support the given datafile version: "5".'
)
args, kwargs = mock_error_handler.call_args
self.assertIsInstance(args[0], exceptions.UnsupportedDatafileVersionException)
self.assertEqual(
args[0].args[0], 'This version of the Python SDK does not support the given datafile version: "5".',
)
self.assertIsNone(opt_obj.config_manager.get_config())
def test_init_with_supported_datafile_version(self):
""" Test that datafile with supported version works as expected. """
self.assertTrue(self.config_dict['version'] in project_config.SUPPORTED_VERSIONS)
mock_client_logger = mock.MagicMock()
with mock.patch('optimizely.logger.reset_logger', return_value=mock_client_logger):
opt_obj = optimizely.Optimizely(json.dumps(self.config_dict))
mock_client_logger.exception.assert_not_called()
self.assertTrue(opt_obj.is_valid)
def test_init__datafile_only(self):
""" Test that if only datafile is provided then StaticConfigManager is used. """
opt_obj = optimizely.Optimizely(datafile=json.dumps(self.config_dict))
self.assertIs(type(opt_obj.config_manager), config_manager.StaticConfigManager)
def test_init__sdk_key_only(self):
""" Test that if only sdk_key is provided then PollingConfigManager is used. """
with mock.patch('optimizely.config_manager.PollingConfigManager._set_config'), mock.patch(
'threading.Thread.start'
):
opt_obj = optimizely.Optimizely(sdk_key='test_sdk_key')
self.assertIs(type(opt_obj.config_manager), config_manager.PollingConfigManager)
def test_init__sdk_key_and_datafile(self):
""" Test that if both sdk_key and datafile is provided then PollingConfigManager is used. """
with mock.patch('optimizely.config_manager.PollingConfigManager._set_config'), mock.patch(
'threading.Thread.start'
):
opt_obj = optimizely.Optimizely(datafile=json.dumps(self.config_dict), sdk_key='test_sdk_key')
self.assertIs(type(opt_obj.config_manager), config_manager.PollingConfigManager)
def test_init__sdk_key_and_datafile_access_token(self):
"""
Test that if both sdk_key and datafile_access_token is provided then AuthDatafilePollingConfigManager
is used.
"""
with mock.patch('optimizely.config_manager.AuthDatafilePollingConfigManager._set_config'), mock.patch(
'threading.Thread.start'
):
opt_obj = optimizely.Optimizely(datafile_access_token='test_datafile_access_token', sdk_key='test_sdk_key')
self.assertIs(type(opt_obj.config_manager), config_manager.AuthDatafilePollingConfigManager)
def test_invalid_json_raises_schema_validation_off(self):
""" Test that invalid JSON logs error if schema validation is turned off. """
# Not JSON
mock_client_logger = mock.MagicMock()
with mock.patch('optimizely.logger.reset_logger', return_value=mock_client_logger), mock.patch(
'optimizely.error_handler.NoOpErrorHandler.handle_error'
) as mock_error_handler:
opt_obj = optimizely.Optimizely('invalid_json', skip_json_validation=True)
mock_client_logger.error.assert_called_once_with('Provided "datafile" is in an invalid format.')
args, kwargs = mock_error_handler.call_args
self.assertIsInstance(args[0], exceptions.InvalidInputException)
self.assertEqual(args[0].args[0], 'Provided "datafile" is in an invalid format.')
self.assertIsNone(opt_obj.config_manager.get_config())
mock_client_logger.reset_mock()
mock_error_handler.reset_mock()
# JSON having valid version, but entities have invalid format
with mock.patch('optimizely.logger.reset_logger', return_value=mock_client_logger), mock.patch(
'optimizely.error_handler.NoOpErrorHandler.handle_error'
) as mock_error_handler:
opt_obj = optimizely.Optimizely(
{'version': '2', 'events': 'invalid_value', 'experiments': 'invalid_value'}, skip_json_validation=True,
)
mock_client_logger.error.assert_called_once_with('Provided "datafile" is in an invalid format.')
args, kwargs = mock_error_handler.call_args
self.assertIsInstance(args[0], exceptions.InvalidInputException)
self.assertEqual(args[0].args[0], 'Provided "datafile" is in an invalid format.')
self.assertIsNone(opt_obj.config_manager.get_config())
def test_activate(self):
""" Test that activate calls process with right params and returns expected variation. """
with mock.patch(
'optimizely.decision_service.DecisionService.get_variation',
return_value=(self.project_config.get_variation_from_id('test_experiment', '111129'), []),
) as mock_decision, mock.patch('time.time', return_value=42), mock.patch(
'uuid.uuid4', return_value='a68cf1ad-0393-4e18-af87-efe8f01a7c9c'
), mock.patch(
'optimizely.event.event_processor.ForwardingEventProcessor.process'
) as mock_process:
self.assertEqual('variation', self.optimizely.activate('test_experiment', 'test_user'))
expected_params = {
'account_id': '12001',
'project_id': '111001',
'visitors': [
{
'visitor_id': 'test_user',
'attributes': [],
'snapshots': [
{
'decisions': [
{'variation_id': '111129', 'experiment_id': '111127', 'campaign_id': '111182',
'metadata': {'flag_key': '',
'rule_key': 'test_experiment',
'rule_type': 'experiment',
'variation_key': 'variation',
'enabled': True},
}
],
'events': [
{
'timestamp': 42000,
'entity_id': '111182',
'uuid': 'a68cf1ad-0393-4e18-af87-efe8f01a7c9c',
'key': 'campaign_activated',
}
],
}
],
}
],
'client_version': version.__version__,
'client_name': 'python-sdk',
'enrich_decisions': True,
'anonymize_ip': False,
'revision': '42',
}
log_event = EventFactory.create_log_event(mock_process.call_args[0][0], self.optimizely.logger)
mock_decision.assert_called_once_with(
self.project_config, self.project_config.get_experiment_from_key('test_experiment'), 'test_user', None,
)
self.assertEqual(1, mock_process.call_count)
self._validate_event_object(
log_event.__dict__,
'https://logx.optimizely.com/v1/events',
expected_params,
'POST',
{'Content-Type': 'application/json'},
)
def test_add_activate_remove_clear_listener(self):
callbackhit = [False]
""" Test adding a listener activate passes correctly and gets called"""
def on_activate(experiment, user_id, attributes, variation, event):
self.assertTrue(isinstance(experiment, entities.Experiment))
self.assertTrue(self.strTest(user_id))
if attributes is not None:
self.assertTrue(isinstance(attributes, dict))
self.assertTrue(isinstance(variation, entities.Variation))
# self.assertTrue(isinstance(event, event_builder.Event))
print("Activated experiment {0}".format(experiment.key))
callbackhit[0] = True
notification_id = self.optimizely.notification_center.add_notification_listener(
enums.NotificationTypes.ACTIVATE, on_activate
)
with mock.patch(
'optimizely.decision_service.DecisionService.get_variation',
return_value=(self.project_config.get_variation_from_id('test_experiment', '111129'), []),
), mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process'):
self.assertEqual('variation', self.optimizely.activate('test_experiment', 'test_user'))
self.assertEqual(True, callbackhit[0])
self.optimizely.notification_center.remove_notification_listener(notification_id)
self.assertEqual(
0, len(self.optimizely.notification_center.notification_listeners[enums.NotificationTypes.ACTIVATE]),
)
self.optimizely.notification_center.clear_all_notifications()
self.assertEqual(
0, len(self.optimizely.notification_center.notification_listeners[enums.NotificationTypes.ACTIVATE]),
)
def test_add_track_remove_clear_listener(self):
""" Test adding a listener track passes correctly and gets called"""
callback_hit = [False]
def on_track(event_key, user_id, attributes, event_tags, event):
self.assertTrue(self.strTest(event_key))
self.assertTrue(self.strTest(user_id))
if attributes is not None:
self.assertTrue(isinstance(attributes, dict))
if event_tags is not None:
self.assertTrue(isinstance(event_tags, dict))
self.assertTrue(isinstance(event, dict))
callback_hit[0] = True
note_id = self.optimizely.notification_center.add_notification_listener(enums.NotificationTypes.TRACK, on_track)
with mock.patch(
'optimizely.decision_service.DecisionService.get_variation',
return_value=(self.project_config.get_variation_from_id('test_experiment', '111129'), []),
), mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process'):
self.optimizely.track('test_event', 'test_user')
self.assertEqual(True, callback_hit[0])
self.assertEqual(
1, len(self.optimizely.notification_center.notification_listeners[enums.NotificationTypes.TRACK]),
)
self.optimizely.notification_center.remove_notification_listener(note_id)
self.assertEqual(
0, len(self.optimizely.notification_center.notification_listeners[enums.NotificationTypes.TRACK]),
)
self.optimizely.notification_center.clear_all_notifications()
self.assertEqual(
0, len(self.optimizely.notification_center.notification_listeners[enums.NotificationTypes.TRACK]),
)
def test_activate_and_decision_listener(self):
""" Test that activate calls broadcast activate and decision with proper parameters. """
def on_activate(event_key, user_id, attributes, event_tags, event):
pass
self.optimizely.notification_center.add_notification_listener(enums.NotificationTypes.ACTIVATE, on_activate)
with mock.patch(
'optimizely.decision_service.DecisionService.get_variation',
return_value=(self.project_config.get_variation_from_id('test_experiment', '111129'), []),
), mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process') as mock_process, mock.patch(
'optimizely.notification_center.NotificationCenter.send_notifications'
) as mock_broadcast:
self.assertEqual('variation', self.optimizely.activate('test_experiment', 'test_user'))
log_event = EventFactory.create_log_event(mock_process.call_args[0][0], self.optimizely.logger)
self.assertEqual(mock_broadcast.call_count, 2)
mock_broadcast.assert_has_calls(
[
mock.call(
enums.NotificationTypes.DECISION,
'ab-test',
'test_user',
{},
{'experiment_key': 'test_experiment', 'variation_key': 'variation'},
),
mock.call(
enums.NotificationTypes.ACTIVATE,
self.project_config.get_experiment_from_key('test_experiment'),
'test_user',
None,
self.project_config.get_variation_from_id('test_experiment', '111129'),
log_event.__dict__,
),
]
)
def test_activate_and_decision_listener_with_attr(self):
""" Test that activate calls broadcast activate and decision with proper parameters. """
def on_activate(event_key, user_id, attributes, event_tags, event):
pass
self.optimizely.notification_center.add_notification_listener(enums.NotificationTypes.ACTIVATE, on_activate)
with mock.patch(
'optimizely.decision_service.DecisionService.get_variation',
return_value=(self.project_config.get_variation_from_id('test_experiment', '111129'), []),
), mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process') as mock_process, mock.patch(
'optimizely.notification_center.NotificationCenter.send_notifications'
) as mock_broadcast:
self.assertEqual(
'variation', self.optimizely.activate('test_experiment', 'test_user', {'test_attribute': 'test_value'}),
)
log_event = EventFactory.create_log_event(mock_process.call_args[0][0], self.optimizely.logger)
self.assertEqual(mock_broadcast.call_count, 2)
mock_broadcast.assert_has_calls(
[
mock.call(
enums.NotificationTypes.DECISION,
'ab-test',
'test_user',
{'test_attribute': 'test_value'},
{'experiment_key': 'test_experiment', 'variation_key': 'variation'},
),
mock.call(
enums.NotificationTypes.ACTIVATE,
self.project_config.get_experiment_from_key('test_experiment'),
'test_user',
{'test_attribute': 'test_value'},
self.project_config.get_variation_from_id('test_experiment', '111129'),
log_event.__dict__,
),
]
)
def test_decision_listener__user_not_in_experiment(self):
""" Test that activate calls broadcast decision with variation_key 'None' \
when user not in experiment. """
with mock.patch('optimizely.decision_service.DecisionService.get_variation',
return_value=(None, []),), mock.patch(
'optimizely.event.event_processor.ForwardingEventProcessor.process'
), mock.patch(
'optimizely.notification_center.NotificationCenter.send_notifications'
) as mock_broadcast_decision:
self.assertEqual(None, self.optimizely.activate('test_experiment', 'test_user'))
mock_broadcast_decision.assert_called_once_with(
enums.NotificationTypes.DECISION,
'ab-test',
'test_user',
{},
{'experiment_key': 'test_experiment', 'variation_key': None},
)
def test_track_listener(self):
""" Test that track calls notification broadcaster. """
def on_track(event_key, user_id, attributes, event_tags, event):
pass
self.optimizely.notification_center.add_notification_listener(enums.NotificationTypes.TRACK, on_track)
with mock.patch(
'optimizely.decision_service.DecisionService.get_variation',
return_value=(self.project_config.get_variation_from_id('test_experiment', '111128'), []),
), mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process') as mock_process, mock.patch(
'optimizely.notification_center.NotificationCenter.send_notifications'
) as mock_event_tracked:
self.optimizely.track('test_event', 'test_user')
log_event = EventFactory.create_log_event(mock_process.call_args[0][0], self.optimizely.logger)
mock_event_tracked.assert_called_once_with(
enums.NotificationTypes.TRACK, "test_event", 'test_user', None, None, log_event.__dict__,
)
def test_track_listener_with_attr(self):
""" Test that track calls notification broadcaster. """
def on_track(event_key, user_id, attributes, event_tags, event):
pass
self.optimizely.notification_center.add_notification_listener(enums.NotificationTypes.TRACK, on_track)
with mock.patch(
'optimizely.decision_service.DecisionService.get_variation',
return_value=(self.project_config.get_variation_from_id('test_experiment', '111128'), []),
), mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process') as mock_process, mock.patch(
'optimizely.notification_center.NotificationCenter.send_notifications'
) as mock_event_tracked:
self.optimizely.track('test_event', 'test_user', attributes={'test_attribute': 'test_value'})
log_event = EventFactory.create_log_event(mock_process.call_args[0][0], self.optimizely.logger)
mock_event_tracked.assert_called_once_with(
enums.NotificationTypes.TRACK,
"test_event",
'test_user',
{'test_attribute': 'test_value'},
None,
log_event.__dict__,
)
def test_track_listener_with_attr_with_event_tags(self):
""" Test that track calls notification broadcaster. """
def on_track(event_key, user_id, attributes, event_tags, event):
pass
self.optimizely.notification_center.add_notification_listener(enums.NotificationTypes.TRACK, on_track)
with mock.patch(
'optimizely.decision_service.DecisionService.get_variation',
return_value=(self.project_config.get_variation_from_id('test_experiment', '111128'), []),
), mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process') as mock_process, mock.patch(
'optimizely.notification_center.NotificationCenter.send_notifications'
) as mock_event_tracked:
self.optimizely.track(
'test_event',
'test_user',
attributes={'test_attribute': 'test_value'},
event_tags={'value': 1.234, 'non-revenue': 'abc'},
)
log_event = EventFactory.create_log_event(mock_process.call_args[0][0], self.optimizely.logger)
mock_event_tracked.assert_called_once_with(
enums.NotificationTypes.TRACK,
"test_event",
'test_user',
{'test_attribute': 'test_value'},
{'value': 1.234, 'non-revenue': 'abc'},
log_event.__dict__,
)
def test_is_feature_enabled__callback_listener(self):
""" Test that the feature is enabled for the user if bucketed into variation of an experiment.
Also confirm that impression event is processed. """
opt_obj = optimizely.Optimizely(json.dumps(self.config_dict_with_features))
project_config = opt_obj.config_manager.get_config()
feature = project_config.get_feature_from_key('test_feature_in_experiment')
access_callback = [False]
def on_activate(experiment, user_id, attributes, variation, event):
access_callback[0] = True
opt_obj.notification_center.add_notification_listener(enums.NotificationTypes.ACTIVATE, on_activate)
mock_experiment = project_config.get_experiment_from_key('test_experiment')
mock_variation = project_config.get_variation_from_id('test_experiment', '111129')
with mock.patch(
'optimizely.decision_service.DecisionService.get_variation_for_feature',
return_value=(
decision_service.Decision(mock_experiment, mock_variation, enums.DecisionSources.FEATURE_TEST), []),
) as mock_decision, mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process'):
self.assertTrue(opt_obj.is_feature_enabled('test_feature_in_experiment', 'test_user'))
mock_decision.assert_called_once_with(opt_obj.config_manager.get_config(), feature, 'test_user', None)
self.assertTrue(access_callback[0])
def test_is_feature_enabled_rollout_callback_listener(self):
""" Test that the feature is enabled for the user if bucketed into variation of a rollout.
Also confirm that no impression event is processed. """
opt_obj = optimizely.Optimizely(json.dumps(self.config_dict_with_features))
project_config = opt_obj.config_manager.get_config()
feature = project_config.get_feature_from_key('test_feature_in_experiment')
access_callback = [False]
def on_activate(experiment, user_id, attributes, variation, event):
access_callback[0] = True
opt_obj.notification_center.add_notification_listener(enums.NotificationTypes.ACTIVATE, on_activate)
mock_experiment = project_config.get_experiment_from_key('test_experiment')
mock_variation = project_config.get_variation_from_id('test_experiment', '111129')
with mock.patch(
'optimizely.decision_service.DecisionService.get_variation_for_feature',
return_value=(decision_service.Decision(mock_experiment,
mock_variation, enums.DecisionSources.ROLLOUT), []),
) as mock_decision, mock.patch(
'optimizely.event.event_processor.ForwardingEventProcessor.process'
) as mock_process:
self.assertTrue(opt_obj.is_feature_enabled('test_feature_in_experiment', 'test_user'))
mock_decision.assert_called_once_with(project_config, feature, 'test_user', None)
# Check that impression event is sent for rollout and send_flag_decisions = True
self.assertEqual(1, mock_process.call_count)
self.assertEqual(True, access_callback[0])
def test_activate__with_attributes__audience_match(self):
""" Test that activate calls process with right params and returns expected
variation when attributes are provided and audience conditions are met. """
with mock.patch(
'optimizely.decision_service.DecisionService.get_variation',
return_value=(self.project_config.get_variation_from_id('test_experiment', '111129'), []),
) as mock_get_variation, mock.patch('time.time', return_value=42), mock.patch(
'uuid.uuid4', return_value='a68cf1ad-0393-4e18-af87-efe8f01a7c9c'
), mock.patch(
'optimizely.event.event_processor.ForwardingEventProcessor.process'
) as mock_process:
self.assertEqual(
'variation', self.optimizely.activate('test_experiment', 'test_user', {'test_attribute': 'test_value'}),
)
expected_params = {
'account_id': '12001',
'project_id': '111001',
'visitors': [
{
'visitor_id': 'test_user',
'attributes': [
{'type': 'custom', 'value': 'test_value', 'entity_id': '111094', 'key': 'test_attribute'}
],
'snapshots': [
{
'decisions': [
{'variation_id': '111129', 'experiment_id': '111127', 'campaign_id': '111182',
'metadata': {'flag_key': '',
'rule_key': 'test_experiment',
'rule_type': 'experiment',
'variation_key': 'variation',
'enabled': True},
}
],
'events': [
{
'timestamp': 42000,
'entity_id': '111182',
'uuid': 'a68cf1ad-0393-4e18-af87-efe8f01a7c9c',
'key': 'campaign_activated',
}
],
}
],
}
],
'client_version': version.__version__,
'client_name': 'python-sdk',
'enrich_decisions': True,
'anonymize_ip': False,
'revision': '42',
}
log_event = EventFactory.create_log_event(mock_process.call_args[0][0], self.optimizely.logger)
mock_get_variation.assert_called_once_with(
self.project_config,
self.project_config.get_experiment_from_key('test_experiment'),
'test_user',
{'test_attribute': 'test_value'},
)
self.assertEqual(1, mock_process.call_count)
self._validate_event_object(
log_event.__dict__,
'https://logx.optimizely.com/v1/events',
expected_params,
'POST',
{'Content-Type': 'application/json'},
)
def test_activate__with_attributes_of_different_types(self):
""" Test that activate calls process with right params and returns expected
variation when different types of attributes are provided and audience conditions are met. """
with mock.patch(
'optimizely.bucketer.Bucketer.bucket',
return_value=(self.project_config.get_variation_from_id('test_experiment', '111129'), []),
) as mock_bucket, mock.patch('time.time', return_value=42), mock.patch(
'uuid.uuid4', return_value='a68cf1ad-0393-4e18-af87-efe8f01a7c9c'
), mock.patch(
'optimizely.event.event_processor.ForwardingEventProcessor.process'
) as mock_process:
attributes = {
'test_attribute': 'test_value_1',
'boolean_key': False,
'integer_key': 0,
'double_key': 0.0,
}
self.assertEqual(
'variation', self.optimizely.activate('test_experiment', 'test_user', attributes),
)
expected_params = {
'account_id': '12001',
'project_id': '111001',
'visitors': [
{
'visitor_id': 'test_user',
'attributes': [
{'type': 'custom', 'value': False, 'entity_id': '111196', 'key': 'boolean_key'},
{'type': 'custom', 'value': 0.0, 'entity_id': '111198', 'key': 'double_key'},
{'type': 'custom', 'value': 0, 'entity_id': '111197', 'key': 'integer_key'},
{'type': 'custom', 'value': 'test_value_1', 'entity_id': '111094', 'key': 'test_attribute'},
],
'snapshots': [
{
'decisions': [
{'variation_id': '111129', 'experiment_id': '111127', 'campaign_id': '111182',
'metadata': {'flag_key': '',
'rule_key': 'test_experiment',
'rule_type': 'experiment',
'variation_key': 'variation',
'enabled': True},
}
],
'events': [
{
'timestamp': 42000,
'entity_id': '111182',
'uuid': 'a68cf1ad-0393-4e18-af87-efe8f01a7c9c',
'key': 'campaign_activated',
}
],
}
],
}
],
'client_version': version.__version__,
'client_name': 'python-sdk',
'enrich_decisions': True,
'anonymize_ip': False,
'revision': '42',
}
log_event = EventFactory.create_log_event(mock_process.call_args[0][0], self.optimizely.logger)
mock_bucket.assert_called_once_with(
self.project_config,
self.project_config.get_experiment_from_key('test_experiment'),
'test_user',
'test_user',
)
self.assertEqual(1, mock_process.call_count)
self._validate_event_object(
log_event.__dict__,
'https://logx.optimizely.com/v1/events',
expected_params,
'POST',
{'Content-Type': 'application/json'},
)
def test_activate__with_attributes__typed_audience_match(self):
""" Test that activate calls process with right params and returns expected
variation when attributes are provided and typed audience conditions are met. """
opt_obj = optimizely.Optimizely(json.dumps(self.config_dict_with_typed_audiences))
with mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process') as mock_process:
# Should be included via exact match string audience with id '3468206642'
self.assertEqual(
'A', opt_obj.activate('typed_audience_experiment', 'test_user', {'house': 'Gryffindor'}),
)
expected_attr = {
'type': 'custom',
'value': 'Gryffindor',
'entity_id': '594015',
'key': 'house',
}
self.assertTrue(expected_attr in [x.__dict__ for x in mock_process.call_args[0][0].visitor_attributes])
mock_process.reset()
with mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process') as mock_process:
# Should be included via exact match number audience with id '3468206646'
self.assertEqual(
'A', opt_obj.activate('typed_audience_experiment', 'test_user', {'lasers': 45.5}),
)
expected_attr = {
'type': 'custom',
'value': 45.5,
'entity_id': '594016',
'key': 'lasers',
}
self.assertTrue(expected_attr in [x.__dict__ for x in mock_process.call_args[0][0].visitor_attributes])
def test_activate__with_attributes__typed_audience_with_semver_match(self):
""" Test that activate calls process with right params and returns expected
variation when attributes are provided and typed audience conditions are met. """
opt_obj = optimizely.Optimizely(json.dumps(self.config_dict_with_typed_audiences))
with mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process') as mock_process:
# Should be included via exact match string audience with id '18278344267'
self.assertEqual(
'A', opt_obj.activate('typed_audience_experiment', 'test_user', {'android-release': '1.0.1'}),
)
expected_attr = {
'type': 'custom',
'value': '1.0.1',
'entity_id': '594019',
'key': 'android-release',
}
self.assertTrue(expected_attr in [x.__dict__ for x in mock_process.call_args[0][0].visitor_attributes])
mock_process.reset()
with mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process') as mock_process:
self.assertEqual(
'A', opt_obj.activate('typed_audience_experiment', 'test_user', {'android-release': "1.2.2"}),
)
expected_attr = {
'type': 'custom',
'value': "1.2.2",
'entity_id': '594019',
'key': 'android-release',
}
self.assertTrue(expected_attr in [x.__dict__ for x in mock_process.call_args[0][0].visitor_attributes])
def test_activate__with_attributes__typed_audience_with_semver_mismatch(self):
""" Test that activate returns None when typed audience conditions do not match. """
opt_obj = optimizely.Optimizely(json.dumps(self.config_dict_with_typed_audiences))
with mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process') as mock_process:
self.assertIsNone(opt_obj.activate('typed_audience_experiment', 'test_user', {'android-release': '1.2.9'}))
self.assertEqual(0, mock_process.call_count)
def test_activate__with_attributes__typed_audience_mismatch(self):
""" Test that activate returns None when typed audience conditions do not match. """
opt_obj = optimizely.Optimizely(json.dumps(self.config_dict_with_typed_audiences))
with mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process') as mock_process:
self.assertIsNone(opt_obj.activate('typed_audience_experiment', 'test_user', {'house': 'Hufflepuff'}))
self.assertEqual(0, mock_process.call_count)
def test_activate__with_attributes__complex_audience_match(self):
""" Test that activate calls process with right params and returns expected
variation when attributes are provided and complex audience conditions are met. """
opt_obj = optimizely.Optimizely(json.dumps(self.config_dict_with_typed_audiences))
with mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process') as mock_process:
# Should be included via substring match string audience with id '3988293898', and
# exact match number audience with id '3468206646'
user_attr = {'house': 'Welcome to Slytherin!', 'lasers': 45.5}
self.assertEqual(
'A', opt_obj.activate('audience_combinations_experiment', 'test_user', user_attr),
)
expected_attr_1 = {
'type': 'custom',
'value': 'Welcome to Slytherin!',
'entity_id': '594015',
'key': 'house',
}
expected_attr_2 = {
'type': 'custom',
'value': 45.5,
'entity_id': '594016',
'key': 'lasers',
}
self.assertTrue(expected_attr_1 in [x.__dict__ for x in mock_process.call_args[0][0].visitor_attributes])
self.assertTrue(expected_attr_2 in [x.__dict__ for x in mock_process.call_args[0][0].visitor_attributes])
def test_activate__with_attributes__complex_audience_mismatch(self):
""" Test that activate returns None when complex audience conditions do not match. """
opt_obj = optimizely.Optimizely(json.dumps(self.config_dict_with_typed_audiences))
with mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process') as mock_process:
user_attr = {'house': 'Hufflepuff', 'lasers': 45.5}
self.assertIsNone(opt_obj.activate('audience_combinations_experiment', 'test_user', user_attr))
self.assertEqual(0, mock_process.call_count)
def test_activate__with_attributes__audience_match__forced_bucketing(self):
""" Test that activate calls process with right params and returns expected
variation when attributes are provided and audience conditions are met after a
set_forced_variation is called. """
with mock.patch('time.time', return_value=42), mock.patch(
'uuid.uuid4', return_value='a68cf1ad-0393-4e18-af87-efe8f01a7c9c'
), mock.patch('optimizely.event.event_processor.ForwardingEventProcessor.process') as mock_process:
self.assertTrue(self.optimizely.set_forced_variation('test_experiment', 'test_user', 'control'))
self.assertEqual(
'control', self.optimizely.activate('test_experiment', 'test_user', {'test_attribute': 'test_value'}),
)
expected_params = {
'account_id': '12001',
'project_id': '111001',
'visitors': [
{
'visitor_id': 'test_user',
'attributes': [
{'type': 'custom', 'value': 'test_value', 'entity_id': '111094', 'key': 'test_attribute'}
],
'snapshots': [
{
'decisions': [
{'variation_id': '111128', 'experiment_id': '111127', 'campaign_id': '111182',
'metadata': {'flag_key': '',
'rule_key': 'test_experiment',
'rule_type': 'experiment',
'variation_key': 'control',
'enabled': True},
}
],
'events': [
{
'timestamp': 42000,
'entity_id': '111182',
'uuid': 'a68cf1ad-0393-4e18-af87-efe8f01a7c9c',
'key': 'campaign_activated',
}