This topic describes how to get access to project configuration data within the datafile using OptimizelyConfig.
Full Stack SDKs open a well-defined set of public APIs, hiding all implementation details. However, some clients may need access to project configuration data within the datafile.
In this document, we extend our public APIs to define data models and access methods, which clients can use to access project configuration data.
A public configuration data model (OptimizelyConfig) is defined below as a structured format of static Optimizely Project data.
OptimizelyConfig can be accessed from OptimizelyClient (top-level) with this public API call:
getOptimizelyConfig returns an
OptimizelyConfig instance which includes:
- the datafile revision number
- all experiments
- feature flags mapped by their key values
- function to retrieve the project configuration (the datafile)
When the SDK datafile is updated (the client can add a notification listener for
OPTIMIZELY_CONFIG_UPDATEto get notified), the client is expected to call the method to get the updated OptimizelyConfig data. See examples below.
To share the same datafile between multiple SDK instances (for example, in a client/server scenario), you can pass a JSON string representation of the config (the datafile) between the instances. To get the datafile, use the
getDatafile method. For more information, see Sharing the datafile with multiple SDK implementations.
The following shows the object model for OptimizelyConfig.
# [OptimizelyConfig] is a hash describing the current project configuration data # being used by this SDK instance. The hash consists of: revision - string sdkKey - string environmentKey - string # This experimentsMap 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. experimentsMap - hash of experiment key to OptimizelyExperiment featuresMap - hash of feature flag key to OptimizelyFeature attributes - list of attributes audiences - list of all audiences events - list of events # [OptimizelyFeature] is a hash describing a feature flag. The hash consists of: id - string key - string experimentRules - list of optimizely feature experiments deliveryRules - list of optimizely rollout experiments # Deprecated. Use experimentRules and deliveryRules instead. experimentsMap - hash of experiment key to OptimizelyExperiment variablesMap - hash of variable key to OptimizelyVariable # [OptimizelyExperiment] is a hash describing an experiment. The hash consists of: id - string key - string audiences - list of serialized audiences variationMap - hash of variation key to OptimizelyVariation # [OptimizelyVariation] is a hash describing a variation in an experiment. The hash consists of: id - string key - string featureEnabled - bool variablesMap - hash of variable key to OptimizelyVariable # [OptimizelyVariable] is a hash describing a feature flag variable. The hash consists of: id - string key - string type - string value - string # [OptimizelyAttribute] is a hash describing an attribute. The hash consists of: id - string key - string # [OptimizelyAudience] is a hash describing an audience. The hash consists of: id - string name - string conditions - string # [OptimizelyEvent] is a hash describing an event. The hash consists of: id - string key - string experimentIds - list of experiemnt ids
OptimizelyConfig can be accessed from OptimizelyClient (top-level) like this:
config = optimizely_instance.get_optimizely_config revision = config['revision'] sdk_key = config['sdkKey'] evironnment_key = config['environmentKey'] #all audiences audiences = config['audiences'] #all attributes attributes = config['attributes'] #all events events = config['events'] # all feature flags features_map = config['featuresMap'] features = features_map.values feature_keys = features_map.keys feature_keys.each do |flag_key| flag = features_map[flag_key] delivery_rules = flag['deliveryRules'] experiment_rules = flag['experimentRules'] # use experiment rules and delivery rules and other flag data here... experiment_rules.each do |experiment| experiment_key = experiment['key'] audiences = experiment['audiences'] variations_map = experiment['variationsMap'] variations_keys = variations_map.keys variations_keys.each do |variation_key| variation = variations_map[variation_key] variables_map = variation['variablesMap'] variables_map.each do |variable_key| variable = variables_map[variable_key] end end end delivery_rules.each do |delivery| delivery_key = delivery['key'] audiences = delivery['audiences'] # use delivery rule data here... end end # listen to OPTIMIZELY_CONFIG_UPDATE to get updated data optimizely_instance.notification_center.add_notification_listener( Optimizely::NotificationCenter::NOTIFICATION_TYPES[:OPTIMIZELY_CONFIG_UPDATE] ) do |*args| config = optimizely_instance.get_optimizely_config end
Updated about 1 year ago