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OptimizelyUserContext for the Java SDK

Explains theOptimizelyUserContext object for the Java SDK, which lets you make flag decisions and track events for a user context in Optimizely Feature Experimentation.

TheOptimizelyUserContext object lets you make flag decisions and track events for a user context you have already created using theCreate User Context method.

Also, if you haveReal-Time Audiences for Feature Experimentation configured, you can evaluate if the user would qualify for an Optimizely Data Platform (ODP) real-time audience.

OptimizelyUserContext minimum SDK version

SDK v3.7 and higher.

Forced decision methods minimum SDK version

setForcedDecision(),getForcedDecision(),removeForcedDecision() andremoveAllForcedDecisions() methods are supported on version 3.10.0 and higher.

Real-Time Audiences for Feature Experimentation minimum SDK version

fetchQualifiedSegments() andisQualifiedFor() methods are supported on version 4.0.0 and higher.

OptimizelyUserContext definition

The following code shows the object definition forOptimizelyUserContext:

public class OptimizelyUserContext {    public String getUserId()    public Map<String, Object> getAttributes()    public OptimizelyUserContext(Optimizely optimizely,                                  String userId,                                  Map<String, Object> attributes)          // set an attribute for the user    public void setAttribute(String key, Object value)        // make a decision about which flag variation the user buckets into for the flag key    public OptimizelyDecision decide(String key,                                      List<OptimizelyDecideOption> options)        // make decisions about which flag variations the user buckets into for flag keys      public Map<String, OptimizelyDecision> decideForKeys(List<String> keys,                                       List<OptimizelyDecideOption> options)        // make decisions about which flag variations the user buckets into for all flags      public Map<String, OptimizelyDecision> decideAll(List<OptimizelyDecideOption> options)        // track user event      public void trackEvent(String eventName, Map<String, ?> eventTags)      // sets a forced decision (variationKey) for a given decision context    public Boolean setForcedDecision(OptimizelyDecisionContext context, OptimizelyForcedDecision decision)    // returns the forced decision (variationKey) for a given decision context    public OptimizelyForcedDecision getForcedDecision(OptimizelyDecisionContext context)    // removes the forced decision (variationKey) for a given decision context    public Boolean removeForcedDecision(OptimizelyDecisionContext context)    // removes all the forced decisions (variationKeys) for the user context    public Boolean removeAllForcedDecisions()          //    // The following methods require Real-Time Audiences for Feature Experimentation.     // See the note following the code sample.     //    // An array of audience segment names that the user is qualified for.     // The result of **fetchQualifiedSegments()** is saved here.     // Can be nil if not properly updated with fetchQualifiedSegments().     //     //  You can read and write directly to the qualified segments array.     //  This lets you bypass the remote fetching process from ODP     //  or utilize your own fetching service.       private List<String> qualifiedSegments()           // Fetch all qualified segments for the user context.     // The segments fetched are saved in the **qualifiedSegments** array    // and can be accessed any time.     public Boolean fetchQualifiedSegments(List<ODPSegmentOption> segmentOptions)     // Fetch qualified segments for the user context in a non-blocking manner.     // This method fetches segments in a separate thread and invokes the provided     //  callback when results are available.    public void fetchQualifiedSegments(ODPSegmentCallback callback, List<ODPSegmentOption> segmentOptions)     //  Check is the user qualified for the given segment.     public Boolean isQualifiedFor(String segment)}
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Note

You must first configureReal-Time Audiences for Feature Experimentation to use thequalifiedSegments(),fetchQualifiedSegments(), andisQualifiedFor() methods.

Properties

The following table shows the attributes for theOptimizelyUserContext object:

Attribute

Type

Comment

userId

String

The ID of the user

attributes(optional)

Map

A map of custom key-value pairs specifying attributes for the user that are used foraudience targeting. You can pass the map with the user ID when you create the user.

Methods

The following table shows methods for theOptimizelyUserContext object:

Method

Comment

setAttribute

Pass a custom user attribute as a key-value pair to the user context.

decide

Returns a decision result for a flag key for a user in an OptimizelyDecision object containing all data required to deliver the flag rule.SeeDecide methods.

decideAll

Returns decisions for all active (unarchived) flags for a user.SeeDecide methods.

decideForKeys

Returns a map of flag decisions for specified flag keys.SeeDecide methods.

trackEvent

Tracks a conversion event for a user (an action a user takes) and logs an error message if the specified event key does not match any existing events.SeeTrack Event.

setForcedDecision

Forces a user into a specific variation.SeeSet Forced Decision.

getForcedDecision

Returns what variation the user was forced into.SeeGet Forced Decision.

removeForcedDecision

Removes a user from a specific forced variation.SeeRemove Forced Decision.

removeAllForcedDecisions

Removes a user from all forced variations.SeeRemove All Forced Decisions.

fetchQualifiedSegments **

Fetch all OD real-time audiences that the user context qualified for.SeeReal-Time Audiences for Feature Experimentation segment qualification methods for the Java SDK.

isQualifiedFor **

Check if the user context qualifies for a given ODP real-time audience.SeeReal-Time Audiences for Feature Experimentation segment qualification methods for the Java SDK.

** RequiresReal-Time Audiences for Feature Experimentation.

See also

Create User Context

Source files

The language and platform source files containing the implementation for Java are available onGitHub.

Updated 17 days ago



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