def get_optimizely_config(self)

class OptimizelyConfig(object):    def __init__(self, revision, experiments_map, features_map, sdk_key=None, environment_key=None, attributes=None, events=None,                 audiences=None):        self.revision = revision        # This experiments_map is for experiments of legacy projects only.  # For flag projects, experiment keys are not guaranteed to be unique   # across multiple flags, so this map may not include all experiments   # when keys conflict.        self.experiments_map = experiments_map        self.features_map = features_map        self.sdk_key = sdk_key or ''        self.environment_key = environment_key or ''        self.attributes = attributes or []        self.events = events or []        self.audiences = audiences or []class OptimizelyExperiment(object):    def __init__(self, id, key, variations_map, audiences=''):        self.id = id        self.key = key        self.variations_map = variations_map        self.audiences = audiencesclass OptimizelyFeature(object):        self.id = id        self.key = key        self.variables_map = variables_map        self.delivery_rules = []        self.experiment_rules = []        # Deprecated. Use experiment_rules and delivery_rules.         self.experiments_map = experiments_mapclass OptimizelyVariation(object):    def __init__(self, id, key, feature_enabled, variables_map):        self.id = id        self.key = key        self.feature_enabled = feature_enabled        self.variables_map = variables_mapclass OptimizelyVariable(object):    def __init__(self, id, key, variable_type, value):        self.id = id        self.key = key        self.type = variable_type        self.value = valueclass OptimizelyAttribute(object):    def __init__(self, id, key):        self.id = id        self.key = keyclass OptimizelyEvent(object):    def __init__(self, id, key, experiment_ids):        self.id = id        self.key = key        self.experiment_ids = experiment_idsclass OptimizelyAudience(object):    def __init__(self, id, name, conditions):        self.id = id        self.name = name        self.conditions = conditions

from optimizely import optimizelyoptimizely_client = optimizely.Optimizely(sdk_key='<YOUR_SDK_KEY')config = optimizely_client.get_optimizely_config()print('REVISION ', config.revision)print('SDK KEY ', config.sdk_key)print('ENV KEY ', config.environment_key)print("[OptimizelyConfig] revision = ", config.revision)print("[OptimizelyConfig] sdk_key = ", config.sdk_key)print("[OptimizelyConfig] environment_key = ", config.environment_key)print("[OptimizelyConfig] attributes:")for attribute in config.attributes:    print('[optimizelyConfig]  - (id, key) ', attribute.id, attribute.key)print("[OptimizelyConfig] audiences:")for audience in config.audiences:    print('[OptimizelyConfig]  - (id, name, conditions) ', audience.id, audience.name, audience.conditions)print("[OptimizelyConfig] events:")for event in config.events:    print("[OptimizelyConfig]  - (id, key, experimentIds) ", event.id, event.key, event.experiment_ids)# all flagsflags = config.features_map.values()print('[OptimizelyConfig]  - flags ', flags)flag_keys = config.features_map.keys()  # swiftprint('[OptimizelyConfig]  - flag keys ', flag_keys)for flag_key in flag_keys:    flag = config.features_map[flag_key]    experiment_rules = flag.experiment_rules    delivery_rules = flag.delivery_rules    print(experiment_rules)    print(delivery_rules)    # use experiment rules and delivery rules and other flag data here...    for experiment in experiment_rules:        print("[OptimizelyConfig]  - experiment rule-key = ", experiment.key)        print("[OptimizelyConfig]  - experiment audiences = ", experiment.audiences)        print("[OptimizelyConfig]  - experiment variations map = ", experiment.variations_map)        variations_map = experiment.variations_map        variation_keys = variations_map.keys()        for variation_key in variation_keys:            print("[OptimizelyConfig]  - variation = ", variation_key)       # not the same as in swift!            map_of_variables = variations_map[variation_key].variables_map            variable_keys = map_of_variables.keys()            for variable_key in variable_keys:                variable = map_of_variables[variable_key]                print('[OptimizelyConfig]  - variable = ', variable_key, variable.value)    for delivery in delivery_rules:        print("[OptimizelyConfig]  - delivery rule-key = ", delivery.key)        print("[OptimizelyConfig]  - delivery audiences = ", delivery.audiences)# listen to OPTIMIZELY_CONFIG_UPDATE to get updated datadef on_config_update_listener(*args):    config = optimizely_client.get_optimizely_config()optimizely_client.notification_center.add_notification_listener(    enums.NotificationTypes.OPTIMIZELY_CONFIG_UPDATE, on_config_update_listener)