public OptimizelyConfig getOptimizelyConfig();

// OptimizelyConfig is an object describing the current project configuration data public class OptimizelyConfig {      // 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.    Map<String, OptimizelyExperiment> experimentsMap;      Map<String, OptimizelyFeature> featuresMap;    List<OptimizelyAttribute> attributes;    List<OptimizelyEvent> events;    List<OptimizelyAudience> audiences;    String revision;    String sdkKey;    String environmentKey;}// OptimizelyFeature is an object describing a feature flagpublic class OptimizelyFeature {    String id;    String key;      /**     * @deprecated use {@link #experimentRules} and {@link #deliveryRules} instead     */    @Deprecated    Map<String, OptimizelyExperiment> experimentsMap;      Map<String, OptimizelyVariable> variablesMap;    List<OptimizelyExperiment> experimentRules;    List<OptimizelyExperiment> deliveryRules;}// OptimizelyExperiment is an object describing an experimentpublic class OptimizelyExperiment {    String id;    String key;    String audiences;    Map<String, OptimizelyVariation> variationsMap;}// OptimizelyVariation is an object describing a variationpublic class OptimizelyVariation {    String id;    String key;    Boolean featureEnabled;    Map<String, OptimizelyVariable> variablesMap;}// OptimizelyVariable is an object describing a Variablepublic class OptimizelyVariable {    String id;    String key;    String type;    String value;}// OptimizelyAttribute is an object describing an Attributepublic class OptimizelyAttribute {  String id;  String key;}// OptimizelyAudience is an object describing an Audiencepublic class OptimizelyAudience {  String id;  String name;  String conditions;}// OptimizelyEvent is an object describing an Eventpublic class OptimizelyEvent {  String id;  String key;  List<String> experimentIds;}

val config = optimizelyClient.optimizelyConfig            Log.d("Optimizely", "[OptimizelyConfig] revision = " + config!!.revision)Log.d("Optimizely", "[OptimizelyConfig] sdkKey = " + config.sdkKey)Log.d("Optimizely", "[OptimizelyConfig] environmentKey = " + config.environmentKey)Log.d("Optimizely", "[OptimizelyConfig] attributes:")for (attribute in config.attributes) {    Log.d("Optimizely", "[OptimizelyAttribute]  -- (id, key) = " + attribute.id + ", " + attribute.key)}            Log.d("Optimizely", "[OptimizelyConfig] audiences:")for (audience in config.audiences) {    Log.d("Optimizely", "[OptimizelyAudience]  -- (id, name, conditions) = " + audience.id + ", " + audience.name + ", " + audience.conditions)}            Log.d("Optimizely", "[OptimizelyConfig] events:")for (event in config.events) {    Log.d("Optimizely", "[OptimizelyEvent]  -- (id, key, experimentIds) = " + event.id + ", " + event.key + ", " + Arrays.toString(event.experimentIds.toTypedArray()))}// all featuresfor (flagKey in config.featuresMap.keys) {    val flag = config.featuresMap.get(flagKey)!!                    for (experiment in flag.experimentRules) {        Log.d("Optimizely", "[OptimizelyExperiment]  -- Experiment Rule Key: " + experiment.key)        Log.d("Optimizely", "[OptimizelyExperiment]  -- Experiment Audiences: " + experiment.audiences)         val variationsMap = experiment.variationsMap        for (variationKey in variationsMap.keys) {            val variation = variationsMap.get(variationKey)!!            Log.d("Optimizely", "[OptimizelyVariation]    -- variation = { key: " + variationKey + ", id: " + variation.id + ", featureEnabled: " + variation.featureEnabled + " }")            // use variation data here...                                    val optimizelyVariableMap = variation.variablesMap            for (variableKey in optimizelyVariableMap.keys) {                val variable = optimizelyVariableMap.get(variableKey)!!                Log.d("Optimizely", "[OptimizelyVariable]      -- variable = key: " + variableKey + ", value: " + variable.value)                // use variable data here...                                        }        }    }    for (delivery in flag.deliveryRules) {        Log.d("Optimizely", "[OptimizelyExperiment]  -- Delivery Rule Key: " + delivery.key)        Log.d("Optimizely", "[OptimizelyExperiment]  -- Delivery Audiences: " + delivery.audiences)    }    // use experiments and other feature flag data here...}// listen to OPTIMIZELY_CONFIG_UPDATE to get updated dataoptimizelyClient.notificationCenter?.addNotificationHandler(    UpdateConfigNotification::class.java,    NotificationHandler { handler: UpdateConfigNotification? ->        val newConfig = optimizelyClient.optimizelyConfig    })

OptimizelyConfig config = optimizelyClient.getOptimizelyConfig();Log.d("Optimizely", "[OptimizelyConfig] revision = " + config.getRevision());Log.d("Optimizely", "[OptimizelyConfig] sdkKey = " + config.getSdkKey());Log.d("Optimizely", "[OptimizelyConfig] environmentKey = " + config.getEnvironmentKey());Log.d("Optimizely", "[OptimizelyConfig] attributes:");for (OptimizelyAttribute attribute: config.getAttributes()) {  Log.d("Optimizely", "[OptimizelyAttribute]  -- (id, key) = " + attribute.getId() + ", " + attribute.getKey());}Log.d("Optimizely", "[OptimizelyConfig] audiences:");for (OptimizelyAudience audience: config.getAudiences()) {  Log.d("Optimizely", "[OptimizelyAudience]  -- (id, name, conditions) = " + audience.getId() + ", " +  audience.getName() + ", " + audience.getConditions());}Log.d("Optimizely", "[OptimizelyConfig] events:");for (OptimizelyEvent event: config.getEvents()) {  Log.d("Optimizely", "[OptimizelyEvent]  -- (id, key, experimentIds) = " + event.getId() + ", "  + event.getKey() + ", "  + Arrays.toString(event.getExperimentIds().toArray()));}// all featuresfor (String flagKey: config.getFeaturesMap().keySet()) {  OptimizelyFeature flag = config.getFeaturesMap().get(flagKey);  for (OptimizelyExperiment experiment: flag.getExperimentRules()) {    Log.d("Optimizely", "[OptimizelyExperiment]  -- Experiment Rule Key: " + experiment.getKey());    Log.d("Optimizely", "[OptimizelyExperiment]  -- Experiment Audiences: " + experiment.getAudiences());    Map<String, OptimizelyVariation> variationsMap = experiment.getVariationsMap();    for (String variationKey: variationsMap.keySet()) {      OptimizelyVariation variation = variationsMap.get(variationKey);      Log.d("Optimizely", "[OptimizelyVariation]    -- variation = { key: " + variationKey + ", id: " + variation.getId() + ", featureEnabled: " + variation.getFeatureEnabled() + " }");      // use variation data here...      Map<String, OptimizelyVariable> optimizelyVariableMap = variation.getVariablesMap();      for (String variableKey: optimizelyVariableMap.keySet()) {        OptimizelyVariable variable = optimizelyVariableMap.get(variableKey);        Log.d("Optimizely", "[OptimizelyVariable]      -- variable = key: " + variableKey + ", value: " + variable.getValue());        // use variable data here...      }    }  }  for (OptimizelyExperiment delivery: flag.getDeliveryRules()) {    Log.d("Optimizely", "[OptimizelyExperiment]  -- Delivery Rule Key: " + delivery.getKey());    Log.d("Optimizely", "[OptimizelyExperiment]  -- Delivery Audiences: " + delivery.getAudiences());  }  // use experiments and other feature flag data here...}// listen to OPTIMIZELY_CONFIG_UPDATE to get updated dataoptimizelyClient.getNotificationCenter().addNotificationHandler(UpdateConfigNotification.class, handler -> {  OptimizelyConfig newConfig = optimizelyClient.getOptimizelyConfig();});