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test_optimizely_config.py
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# Copyright 2020, 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
from optimizely import optimizely
from optimizely import optimizely_config
from . import base
class OptimizelyConfigTest(base.BaseTest):
def setUp(self):
base.BaseTest.setUp(self)
opt_instance = optimizely.Optimizely(json.dumps(self.config_dict_with_features))
self.project_config = opt_instance.config_manager.get_config()
self.opt_config_service = optimizely_config.OptimizelyConfigService(self.project_config)
self.expected_config = {
'experiments_map': {
'test_experiment2': {
'variations_map': {
'control': {
'variables_map': {
},
'id': '122239',
'key': 'control',
'feature_enabled': None
},
'variation': {
'variables_map': {
},
'id': '122240',
'key': 'variation',
'feature_enabled': None
}
},
'id': '111133',
'key': 'test_experiment2'
},
'test_experiment': {
'variations_map': {
'control': {
'variables_map': {
'environment': {
'key': 'environment',
'type': 'string',
'id': '128',
'value': 'devel'
},
'count': {
'key': 'count',
'type': 'integer',
'id': '130',
'value': '999'
},
'is_working': {
'key': 'is_working',
'type': 'boolean',
'id': '127',
'value': 'true'
},
'cost': {
'key': 'cost',
'type': 'double',
'id': '129',
'value': '10.99'
},
'object': {
'id': '132',
'key': 'object',
'type': 'json',
'value': '{"test": 12}'
},
'true_object': {
'id': '133',
'key': 'true_object',
'type': 'json',
'value': '{"true_test": 23.54}'
},
'variable_without_usage': {
'key': 'variable_without_usage',
'type': 'integer',
'id': '131',
'value': '45'
}
},
'id': '111128',
'key': 'control',
'feature_enabled': False
},
'variation': {
'variables_map': {
'environment': {
'key': 'environment',
'type': 'string',
'id': '128',
'value': 'staging'
},
'count': {
'key': 'count',
'type': 'integer',
'id': '130',
'value': '4243'
},
'is_working': {
'key': 'is_working',
'type': 'boolean',
'id': '127',
'value': 'true'
},
'cost': {
'key': 'cost',
'type': 'double',
'id': '129',
'value': '10.02'
},
'object': {
'id': '132',
'key': 'object',
'type': 'json',
'value': '{"test": 123}'
},
'true_object': {
'id': '133',
'key': 'true_object',
'type': 'json',
'value': '{"true_test": 1.4}'
},
'variable_without_usage': {
'key': 'variable_without_usage',
'type': 'integer',
'id': '131',
'value': '45'
}
},
'id': '111129',
'key': 'variation',
'feature_enabled': True
}
},
'id': '111127',
'key': 'test_experiment'
},
'group_exp_1': {
'variations_map': {
'group_exp_1_variation': {
'variables_map': {
},
'id': '28902',
'key': 'group_exp_1_variation',
'feature_enabled': None
},
'group_exp_1_control': {
'variables_map': {
},
'id': '28901',
'key': 'group_exp_1_control',
'feature_enabled': None
}
},
'id': '32222',
'key': 'group_exp_1'
},
'group_exp_2': {
'variations_map': {
'group_exp_2_variation': {
'variables_map': {
},
'id': '28906',
'key': 'group_exp_2_variation',
'feature_enabled': None
},
'group_exp_2_control': {
'variables_map': {
},
'id': '28905',
'key': 'group_exp_2_control',
'feature_enabled': None
}
},
'id': '32223',
'key': 'group_exp_2'
}
},
'features_map': {
'test_feature_in_experiment': {
'variables_map': {
'environment': {
'key': 'environment',
'type': 'string',
'id': '128',
'value': 'devel'
},
'count': {
'key': 'count',
'type': 'integer',
'id': '130',
'value': '999'
},
'is_working': {
'key': 'is_working',
'type': 'boolean',
'id': '127',
'value': 'true'
},
'cost': {
'key': 'cost',
'type': 'double',
'id': '129',
'value': '10.99'
},
'object': {
'id': '132',
'key': 'object',
'type': 'json',
'value': '{"test": 12}'
},
'true_object': {
'id': '133',
'key': 'true_object',
'type': 'json',
'value': '{"true_test": 23.54}'
},
'variable_without_usage': {
'key': 'variable_without_usage',
'type': 'integer',
'id': '131',
'value': '45'
}
},
'experiments_map': {
'test_experiment': {
'variations_map': {
'control': {
'variables_map': {
'environment': {
'key': 'environment',
'type': 'string',
'id': '128',
'value': 'devel'
},
'count': {
'key': 'count',
'type': 'integer',
'id': '130',
'value': '999'
},
'is_working': {
'key': 'is_working',
'type': 'boolean',
'id': '127',
'value': 'true'
},
'cost': {
'key': 'cost',
'type': 'double',
'id': '129',
'value': '10.99'
},
'object': {
'id': '132',
'key': 'object',
'type': 'json',
'value': '{"test": 12}'
},
'true_object': {
'id': '133',
'key': 'true_object',
'type': 'json',
'value': '{"true_test": 23.54}'
},
'variable_without_usage': {
'key': 'variable_without_usage',
'type': 'integer',
'id': '131',
'value': '45'
}
},
'id': '111128',
'key': 'control',
'feature_enabled': False
},
'variation': {
'variables_map': {
'environment': {
'key': 'environment',
'type': 'string',
'id': '128',
'value': 'staging'
},
'count': {
'key': 'count',
'type': 'integer',
'id': '130',
'value': '4243'
},
'is_working': {
'key': 'is_working',
'type': 'boolean',
'id': '127',
'value': 'true'
},
'cost': {
'key': 'cost',
'type': 'double',
'id': '129',
'value': '10.02'
},
'object': {
'id': '132',
'key': 'object',
'type': 'json',
'value': '{"test": 123}'
},
'true_object': {
'id': '133',
'key': 'true_object',
'type': 'json',
'value': '{"true_test": 1.4}'
},
'variable_without_usage': {
'key': 'variable_without_usage',
'type': 'integer',
'id': '131',
'value': '45'
}
},
'id': '111129',
'key': 'variation',
'feature_enabled': True
}
},
'id': '111127',
'key': 'test_experiment'
}
},
'id': '91111',
'key': 'test_feature_in_experiment'
},
'test_feature_in_rollout': {
'variables_map': {
'count': {
'key': 'count',
'type': 'integer',
'id': '135',
'value': '999'
},
'message': {
'key': 'message',
'type': 'string',
'id': '133',
'value': 'Hello'
},
'price': {
'key': 'price',
'type': 'double',
'id': '134',
'value': '99.99'
},
'is_running': {
'key': 'is_running',
'type': 'boolean',
'id': '132',
'value': 'false'
},
'object': {
'id': '136',
'key': 'object',
'type': 'json',
'value': '{"field": 1}'
}
},
'experiments_map': {
},
'id': '91112',
'key': 'test_feature_in_rollout'
},
'test_feature_in_group': {
'variables_map': {
},
'experiments_map': {
'group_exp_1': {
'variations_map': {
'group_exp_1_variation': {
'variables_map': {
},
'id': '28902',
'key': 'group_exp_1_variation',
'feature_enabled': None
},
'group_exp_1_control': {
'variables_map': {
},
'id': '28901',
'key': 'group_exp_1_control',
'feature_enabled': None
}
},
'id': '32222',
'key': 'group_exp_1'
}
},
'id': '91113',
'key': 'test_feature_in_group'
},
'test_feature_in_experiment_and_rollout': {
'variables_map': {
},
'experiments_map': {
'group_exp_2': {
'variations_map': {
'group_exp_2_variation': {
'variables_map': {
},
'id': '28906',
'key': 'group_exp_2_variation',
'feature_enabled': None
},
'group_exp_2_control': {
'variables_map': {
},
'id': '28905',
'key': 'group_exp_2_control',
'feature_enabled': None
}
},
'id': '32223',
'key': 'group_exp_2'
}
},
'id': '91114',
'key': 'test_feature_in_experiment_and_rollout'
}
},
'revision': '1',
'_datafile': json.dumps(self.config_dict_with_features)
}
self.actual_config = self.opt_config_service.get_config()
self.actual_config_dict = self.to_dict(self.actual_config)
def to_dict(self, obj):
return json.loads(json.dumps(obj, default=lambda o: o.__dict__))
def test__get_config(self):
""" Test that get_config returns an expected instance of OptimizelyConfig. """
self.assertIsInstance(self.actual_config, optimizely_config.OptimizelyConfig)
self.assertEqual(self.expected_config, self.actual_config_dict)
def test__get_config__invalid_project_config(self):
""" Test that get_config returns None when invalid project config supplied. """
opt_service = optimizely_config.OptimizelyConfigService({"key": "invalid"})
self.assertIsNone(opt_service.get_config())
def test__get_experiments_maps(self):
""" Test that get_experiments_map returns expected experiment key and id maps. """
actual_key_map, actual_id_map = self.opt_config_service._get_experiments_maps()
expected_key_map = self.expected_config['experiments_map']
self.assertIsInstance(actual_key_map, dict)
for exp in actual_key_map.values():
self.assertIsInstance(exp, optimizely_config.OptimizelyExperiment)
self.assertEqual(expected_key_map, self.to_dict(actual_key_map))
expected_id_map = {}
for exp in expected_key_map.values():
expected_id_map[exp['id']] = exp
self.assertEqual(expected_id_map, self.to_dict(actual_id_map))
def test__get_features_map(self):
""" Test that get_features_map returns expected features map. """
exp_key_map, exp_id_map = self.opt_config_service._get_experiments_maps()
actual_feature_map = self.opt_config_service._get_features_map(exp_id_map)
expected_feature_map = self.expected_config['features_map']
self.assertIsInstance(actual_feature_map, dict)
for feat in actual_feature_map.values():
self.assertIsInstance(feat, optimizely_config.OptimizelyFeature)
self.assertEqual(expected_feature_map, self.to_dict(actual_feature_map))
def test__get_variations_map(self):
""" Test that get_variations_map returns expected variations map. """
experiment = self.project_config.experiments[0]
actual_variations_map = self.opt_config_service._get_variations_map(experiment)
expected_variations_map = self.expected_config['experiments_map']['test_experiment']['variations_map']
self.assertIsInstance(actual_variations_map, dict)
for variation in actual_variations_map.values():
self.assertIsInstance(variation, optimizely_config.OptimizelyVariation)
self.assertEqual(expected_variations_map, self.to_dict(actual_variations_map))
def test__get_variables_map(self):
""" Test that get_variables_map returns expected variables map. """
experiment = self.project_config.experiments[0]
variation = experiment['variations'][0]
actual_variables_map = self.opt_config_service._get_variables_map(experiment, variation)
expected_variations_map = self.expected_config['experiments_map']['test_experiment']['variations_map']
expected_variables_map = expected_variations_map['control']['variables_map']
self.assertIsInstance(actual_variables_map, dict)
for variable in actual_variables_map.values():
self.assertIsInstance(variable, optimizely_config.OptimizelyVariable)
self.assertEqual(expected_variables_map, self.to_dict(actual_variables_map))
def test__get_datafile(self):
""" Test that get_datafile returns the expected datafile. """
expected_datafile = json.dumps(self.config_dict_with_features)
actual_datafile = self.actual_config.get_datafile()
self.assertEqual(expected_datafile, actual_datafile)