create get_default method for empty experiment object

Author: Mat001

optimizely/entities.py

@@ -74,6 +74,23 @@ def get_audience_conditions_or_ids(self):
     def __str__(self):
         return self.key
 
+    @staticmethod
+    def get_default():
+        """ returns an empty experiment object. """
+        experiment = Experiment(
+            id='',
+            key='',
+            layerId='',
+            status='',
+            variations=[],
+            trafficAllocation=[],
+            audienceIds=[],
+            audienceConditions=[],
+            forcedVariations={}
+        )
+
+        return experiment
+
 
 class FeatureFlag(BaseEntity):
     def __init__(self, id, key, experimentIds, rolloutId, variables, groupId=None, **kwargs):

optimizely/optimizely.py

@@ -199,17 +199,7 @@ def _send_impression_event(self, project_config, experiment, variation, flag_key
           attributes: Dict representing user attributes and values which need to be recorded.
         """
         if not experiment:
-            experiment = entities.Experiment(
-                id='',
-                key='',
-                layerId='',
-                status='',
-                variations=[],
-                trafficAllocation=[],
-                audienceIds=[],
-                audienceConditions=[],
-                forcedVariations={}
-            )
+            experiment = entities.Experiment.get_default()
 
         variation_id = variation.id if variation is not None else None
         user_event = user_event_factory.UserEventFactory.create_impression_event(

tests/test_user_context.py

@@ -1568,9 +1568,6 @@ def test_should_return_valid_decision_after_setting_invalid_delivery_rule_variat
             'rule (211127) and user (test_user) in the forced decision map.'
         ])))
 
-    # TODO - JAE: Can we change the test name and description? Not clear which part is invalid.
-    #  Also, I see the forced set flag and decide flag is different. Is it intentional?
-    # TODO - CHECK WITH JAE if this test should return valid decision like docstring says!
     def test_should_return_valid_decision_after_setting_invalid_experiment_rule_variation_in_forced_decision(self):
         """
         Should return valid decision after setting invalid experiment rule variation in forced decision.
@@ -1596,18 +1593,6 @@ def test_should_return_valid_decision_after_setting_invalid_experiment_rule_vari
         self.assertEqual(decide_decision.user_context.user_id, 'test_user')
         self.assertEqual(decide_decision.user_context.get_user_attributes(), {})
 
-        # expected_reasons = [
-        #     'Evaluating audiences for rule 1: ["11154"].', 'Audiences for rule 1 collectively evaluated to FALSE.',
-        #     'User "test_user" does not meet audience conditions for targeting rule 1.',
-        #     'Evaluating audiences for rule 2: ["11159"].', 'Audiences for rule 2 collectively evaluated to FALSE.',
-        #     'User "test_user" does not meet audience conditions for targeting rule 2.',
-        #     'Evaluating audiences for rule Everyone Else: [].',
-        #     'Audiences for rule Everyone Else collectively evaluated to TRUE.',
-        #     'User "test_user" meets audience conditions for targeting rule Everyone Else.',
-        #     'User "test_user" bucketed into a targeting rule Everyone Else.'
-        # ]
-
-        # TODO - BELOW ARE NEW UPDATED REASONS
         expected_reasons = [
             'Invalid variation is mapped to flag (test_feature_in_experiment), rule (test_experiment) '
             'and user (test_user) in the forced decision map.',