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[AI-FSSDK] [FSSDK-12337] Remove test not in ticket spec
Remove test_feature_rollout_everyone_else_is_last_rollout_rule to match updated Jira ticket test requirements.
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tests/test_config.py

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@@ -1906,106 +1906,5 @@ def test_feature_rollout_with_no_rollout(self):
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self.assertEqual(len(experiment.variations), 1)
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self.assertEqual(len(experiment.trafficAllocation), 1)
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def test_feature_rollout_everyone_else_is_last_rollout_rule(self):
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"""Test that the everyone else variation comes from the LAST rollout rule."""
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datafile = self._build_datafile(
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experiments=[
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{
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'id': 'exp_fr',
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'key': 'feature_rollout_exp',
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'status': 'Running',
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'forcedVariations': {},
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'layerId': 'layer_1',
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'audienceIds': [],
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'trafficAllocation': [{'entityId': 'fr_var', 'endOfRange': 5000}],
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'variations': [
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{'key': 'fr_var', 'id': 'fr_var', 'featureEnabled': True}
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],
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'type': 'feature_rollout',
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},
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],
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rollouts=[
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{
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'id': 'rollout_1',
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'experiments': [
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{
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'id': 'targeted_rule_1',
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'key': 'targeted_rule_1',
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'status': 'Running',
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'forcedVariations': {},
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'layerId': 'rollout_1',
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'audienceIds': ['aud_1'],
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'trafficAllocation': [
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{'entityId': 'targeted_var_1', 'endOfRange': 10000}
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],
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'variations': [
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{
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'key': 'targeted_var_1',
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'id': 'targeted_var_1',
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'featureEnabled': True,
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}
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],
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},
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{
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'id': 'targeted_rule_2',
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'key': 'targeted_rule_2',
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'status': 'Running',
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'forcedVariations': {},
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'layerId': 'rollout_1',
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'audienceIds': ['aud_2'],
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'trafficAllocation': [
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{'entityId': 'targeted_var_2', 'endOfRange': 10000}
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],
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'variations': [
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{
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'key': 'targeted_var_2',
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'id': 'targeted_var_2',
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'featureEnabled': True,
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}
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],
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},
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{
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'id': 'everyone_else_rule',
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'key': 'everyone_else_rule',
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'status': 'Running',
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'forcedVariations': {},
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'layerId': 'rollout_1',
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'audienceIds': [],
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'trafficAllocation': [
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{'entityId': 'correct_everyone_var', 'endOfRange': 10000}
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],
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'variations': [
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{
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'key': 'correct_everyone_var',
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'id': 'correct_everyone_var',
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'featureEnabled': False,
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}
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],
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},
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],
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}
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],
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feature_flags=[
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{
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'id': 'flag_1',
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'key': 'test_flag',
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'experimentIds': ['exp_fr'],
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'rolloutId': 'rollout_1',
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'variables': [],
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},
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],
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)
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opt = optimizely.Optimizely(json.dumps(datafile))
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config = opt.config_manager.get_config()
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experiment = config.experiment_id_map['exp_fr']
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# Should have injected the correct (last) everyone else variation
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variation_ids = [v['id'] if isinstance(v, dict) else v.id for v in experiment.variations]
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self.assertIn('correct_everyone_var', variation_ids)
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# Should NOT have injected targeted rule variations
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self.assertNotIn('targeted_var_1', variation_ids)
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self.assertNotIn('targeted_var_2', variation_ids)
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