Developer guide
Follow this section to install and configure the Android SDK in your Android app and learn about advanced features.Getting started
Follow these steps to install and configure the Kameleoon Android SDK in your application.Installation
You can install the Android SDK by adding the following dependency to thebuild.gradle file in your Android app:
Additional configuration
To customize the SDK’s behavior, create a.properties configuration file. The properties file’s name and location are important:
- Create the file in your app’s
assets/directory. - Name the file
kameleoon-client.properties.
If you specify a
visitorCode and set the isUniqueIdentifier parameter to true, the SDK methods use the visitorCode value as the unique visitor identifier, which is useful for cross-device experimentation. The SDK links the flushed data to the visitor that is associated with the specified identifier.The isUniqueIdentifier can be useful in other edge-case scenarios, such as when you can’t access the anonymous visitorCode that was originally assigned to the visitor, but you have access to an internal ID that is connected to the anonymous visitor through session merging.Using activityTrackingIntervalMillisecond
The activityTrackingIntervalMillisecond parameter controls how often the SDK sends an activity event to extend the visitor’s session on the Data API. A longer interval reduces network usage and battery consumption. The default and minimum value is 60 000 ms (60 seconds); any lower non-zero value is ignored and the default is applied instead. Timers pause while the app is in the background, so the interval only advances while the app is in the foreground.
Increasing this value has significant side effects you should weigh carefully:
-
Visits with zero duration
- Reports derive visit duration from tracked events. If the interval is longer than the time a visitor spends in the app, the SDK may send only the startup event. The visit’s start and last-activity timestamps are then (nearly) identical, so the report usually shows a duration close to zero. You can avoid this by sending other events during the session (such as conversions or page views), which also extend the recorded duration.
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Time elapsed since last visit (targeting)
- The “time elapsed since last visit” condition compares the current time against a previous visit’s last recorded activity. That timestamp only refreshes once per interval, so its precision degrades as the interval grows: comparisons for durations close to or below the interval become unreliable.
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Visit count
- A new visit starts after 30 minutes of inactivity. If you set the interval longer than 30 minutes, every activity event arrives after the previous session has already expired, so the SDK creates a new visit at each interval and inflates the visit count.
Initialize the Kameleoon Client
After installing the SDK in your application and setting up the app properties, you must create the Kameleoon Client. A Client is a singleton object that acts as a bridge between your application and the Kameleoon platform. It includes all of the methods and properties you need to run a feature flag.- Java
- Kotlin
KameleoonClientFactory.create() method initializes the client, but it is not immediately ready for use. This delay is because the Kameleoon Client must retrieve the current configuration of feature flags (along with their traffic repartition) from a Kameleoon remote server. This retrieval requires network access, which is not always available. Until the Kameleoon Client is fully ready, you should not attempt to run other methods in the Kameleoon Android SDK. Note that once the first configuration of the feature flags is fetched, it is then periodically refreshed, but even if the refresh fails for any reason, the Kameleoon client will continue to function using the previous configuration.
You can use the isReady() method to check if the Kameleoon client initialization is complete.
Alternatively, a helper callback can encapsulate the logic of feature flag triggering and variation implementation. The best approach (isReady() or callback) depends on preferences and the exact use case. Using isReady() is recommended when the SDK is expected to be ready for use soon. For example, isReady() is appropriate when running a feature flag on a dialog that users likely won’t access for the first few seconds or minutes of navigating in the app. A callback is recommended when there is a high probability that the SDK is still initializing. For example, a feature flag that appears onscreen at the application launch should use a callback that makes the application wait until the SDK is ready or a specified timeout has expired.
It’s your responsibility as the app developer to ensure the logic of your application code is correct within the context of A/B testing using Kameleoon. A good practice is to always assume that the application user can be left out of the feature flag when the Kameleoon client is not yet ready. This exclusion is easy to implement, because this corresponds to the implementation of the default or reference variation logic. The code samples in the next paragraph show examples of this approach.
Best practices for initialization and usage
- Initializing
KameleoonClientas a singleton as early as possible after the application starts is recommended, as initialization may take some time. Since initialization is asynchronous, it does not block or delay the application startup process. - Before using
KameleoonClient, verify that it is initialized by calling therunWhenReadymethod. Otherwise, attempts to use the client before it is ready will result in errors. - ⚠️ Most key methods may throw exceptions, so proper exception handling is required. Be sure to review the documentation for each method you use to understand its potential exceptions.
- Java
- Kotlin
- Kotlin (Coroutines)
Activating a feature flag
Retrieving a flag configuration
To implement a feature flag in your code, you must first create the feature flag in your Kameleoon account. To determine the status or variation of a feature flag for a specific user, you should use thegetVariation() or isFeatureActive() method to retrieve the configuration based on the featureKey.
The getVariation() method handles both simple feature flags with ON/OFF states and more complex flags with multiple variations. The method retrieves the appropriate variation for the user by checking the feature rules, assigning the variation, and returning it based on the featureKey and visitorCode.
The isFeatureActive() method can be used if you want to retrieve the configuration of a simple feature flag that has only an ON or OFF state, as opposed to more complex feature flags with multiple variations or targeting options.
If your feature flag has associated variables (such as specific behaviors tied to each variation) getVariation() also enables you to access the Variation object, which provides details about the assigned variation and its associated experiment. This method checks whether the user is targeted, finds the visitor’s assigned variation, and saves it to storage. When track=true, the SDK will send the exposure event to the specified experiment on the next tracking request, which is automatically triggered based on the SDK’s tracking_interval_millisecond. By default, this interval is set to 1000 milliseconds (1 second).
The getVariation() method allows you to control whether tracking is done. If track=false, no exposure events will be sent by the SDK. This is useful if you prefer not to track data through the SDK and instead rely on client-side tracking managed by the Kameleoon engine, for example. Additionally, setting track=false is helpful when using the getVariations() method, where you might only need the variations for all flags without triggering any tracking events. If you want to know more about how tracking works, view this article
Adding data points to target a user or filter / breakdown visits in reports
To target a user, ensure you’ve added relevant data points to their profile before retrieving the feature variation or checking if the flag is active. Use theaddData() method to add these data points to the user’s profile.
To retrieve data points collected on other devices, use the getRemoteVisitorData() method. This method asynchronously fetches data from the servers. It is important to call getRemoteVisitorData() before retrieving the variation or checking if the feature flag is active, as this data might be required to assign a user to a given variation.
To learn more about available targeting conditions, see the detailed article on the subject.
Additionally, the data points you add to the visitor profile will be available when analyzing your experiments, allowing you to filter and break down your results by factors like device. See the complete list here.
If you need to track additional data points beyond what’s automatically collected, you can use Kameleoon’s Custom Data feature. Custom Data allows you to capture and analyze specific information relevant to your experiments. Don’t forget to call the flush() method to send the collected data to Kameleoon servers for analysis.
Tracking goal conversions
When a user completes a desired action (such as making a purchase), it is recorded as a conversion. To track conversions, use thetrackConversion() method and provide the required goalId parameter.
The conversion tracking request will be sent along with the next scheduled tracking request, which the SDK sends at regular intervals (defined by tracking_interval_millisecond). If you prefer to send the request immediately, use the flush() method with the parameter instant=true.
Cross-device experimentation
To support visitors who access an app from multiple devices, Kameleoon allows the synchronization of previously collected visitor data across each of the visitor’s devices and reconciliation of their visit history across devices through cross-device experimentation. Case studies and detailed information on how Kameleoon handles data across devices are available in the article on cross-device experimentation.Synchronizing custom data across devices
Although custom mapping synchronization is used to align visitor data across devices, it is not always necessary. Below are two scenarios where custom mapping sync is not required: Same user ID across devices If the same user ID is used consistently across all devices, synchronization is handled automatically without a custom mapping sync. It is enough to call thegetRemoteVisitorData() method when you want to sync the data collected between multiple devices.
Multi-server instances with consistent IDs
In complex setups involving multiple servers (for example, distributed server instances), where the same user ID is available across servers, synchronization between servers (with getRemoteVisitorData()) is sufficient without additional custom mapping sync.
Customers who need additional data can refer to the getRemoteVisitorData() method description for further guidance. In the below code, it is assumed that the same unique identifier (in this case, the visitorCode, which can also be referred to as userId) is used consistently between the two devices for accurate data retrieval.
If you want to sync collected data in real time, you need to choose the scope Visitor for your custom data.
- Java
- Kotlin
- Kotlin (Coroutines)
Device A
Device B
Using custom data for session merging
Cross-device experimentation allows for combining a visitor’s history across each of their devices (history reconciliation). History reconciliation allows merging different visitor sessions into one. To reconcile visit history, useCustomData to provide a unique identifier for the visitor. For more information, see the dedicated documentation.
After cross-device reconciliation is enabled, calling getRemoteVisitorData() with the parameter userId retrieves all known data for a given user.
Sessions with the same identifier will always be shown the same variation in an experiment. In the Visitor view of your experiment’s results pages, these sessions will appear as a single visitor.
The SDK configuration ensures that associated sessions always see the same variation of the experiment. However, there are some limitations regarding cross-device variation allocation. These limitations are outlined here.
Follow the activating cross-device history reconciliation guide to set up your custom data on the Kameleoon platform.
Afterwards, you can use the SDK normally. The following methods that may be helpful in the context of session merging:
getRemoteVisitorData()with passedisUniqueIdentifier=truetoKameleoonClientConfig- to retrieve data for all linked visitors.trackConversion()orflush()with passedisUniqueIdentifier=truetoKameleoonClientConfig- to track some data for specific visitor that is associated with another visitor.
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- Kotlin (Coroutines)
getVisitorCode() method. After the user logs in, the anonymous visitor is associated with the user ID and used as a unique identifier for the visitor.
Using a custom bucketing key
By default, Kameleoon uses a unique, anonymous visitor ID (visitorCode) to assign users to feature flag variations. This ID is typically generated and stored on the user’s device (in a browser cookie for client-side and server-side SDKs—in persistent storage for mobile SDKs). However, in certain scenarios you may need to ensure all users of the same organization see the same variant of a feature flag.
The Custom Bucketing Key option allows you to override this default behavior by providing your own custom identifier for bucketing. This override ensures that Kameleoon’s assignment logic uses your specified key instead of the default visitorCode.
Use cases
Using a custom bucketing key is essential for maintaining consistency and accuracy in your feature flag assignments, particularly in these situations:- Account-level or organizational experiments: For B2B products or scenarios where you want to assign all users from the same organization to the same variation, you can use an identifier like an
accountId. Custom bucketing keys are crucial for A/B testing features that impact an entire team or company.
Technical details
When you configure a custom bucketing key for a feature flag, you provide Kameleoon with a specific identifier from your application’s data:- Java
- Kotlin
- Providing the custom key: You provide your custom identifier to the Kameleoon SDK using the
addData()method. In this method, you will pass your chosen custom bucketing key as aCustomDataobject. Here,newVisitorCoderefers to the identifier you wish to use for your bucketing (for example, the newuserIdoraccountId).
- Bucketing logic: Once a custom bucketing key is provided through the
addData()method, all hash calculations for assigning users to variations will use thisnewVisitorCode(your custom key) instead of the defaultvisitorCode. Using thenewVisitorCodemeans that the bucketing decision is tied to your custom identifier, ensuring consistent assignments across various contexts where that identifier is present. - Data tracking and analytics: It’s crucial to note that while the
newVisitorCode(your custom key) is used for bucketing decisions, all subsequent data (tracking events and conversions, for example) is sent and associated with the originalvisitorCode. This separation ensures that your analytics accurately reflect individual user journeys and interactions within your experiment’s broader context, even when bucketing is performed at a higher level (like an account) or across multiple devices/sessions. Your original visitor data remains intact for comprehensive reporting.
Technical requirements
To effectively use a custom bucketing key:- The key must be a
String. - It must be unique for the entity you intend to bucket (for example, if using a
userId, each user’s ID should be unique). - The key must be available to the SDK at the exact moment the feature flag decision is evaluated for that user or request.
Targeting conditions
The Kameleoon SDKs support a variety of predefined targeting conditions that you can use to target users in your campaigns. For the list of conditions this SDK supports, see use visit history to target users. You can also use your own external data to target users.Error Handling
All methods of the Kameleoon SDK can only throwKameleoonException or its documented inherited exceptions (listed in the Exceptions Thrown section for each method).
These exceptions are expected behavior of the SDK. If you want to handle specific scenarios differently, you can catch individual inherited exceptions; otherwise, catching KameleoonException will handle all SDK‑related errors.
Although our unit and integration tests confirm that the SDK never throws Exception or RuntimeException, we understand that patching SDK versions on Android can be difficult, and unexpected issues may arise from third‑party libraries that could throw a RuntimeException. To prevent your application from crashing in such rare cases, we recommend that you also catch Exception (or RuntimeException) as an additional safeguard. This is strictly a precaution and not an expected behavior of the SDK.
For example:
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Logging
The SDK generates logs to reflect various internal processes and issues.Log levels
The SDK supports configuring limiting logging by a log level.- Java
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Custom handling of logs
The SDK writes its logs to the console output by default. This behaviour can be overridden.Logging limiting by a log level is performed apart from the log handling logic.
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Passing the visitor code to a WebView
In some cases, you may need to pass the visitor code from the native application to a WebView that uses Engine.js or the web JavaScript or React SDKs. The following example demonstrates the recommended way to achieve this:- Kotlin
- Kotlin (Jetpack Compose)
- Java
Reference
This is the full reference documentation for the Kameleoon Android SDK.Initialization
Once you have installed the SDK in your application, the first step is initializing Kameleoon. All of your application’s interactions with the SDK, such as triggering an experiment, are accomplished using this Kameleoon client object.create()
Call this method before any others to initialize the SDK. This method is incom.kameleoon.KameleoonClientFactory. Your app conducts all interactions with the SDK using the resulting KameleoonClient object that this method creates.
You can customize the SDK’s behavior (for example, the environment, credentials, and so on) by providing a configuration object. Otherwise, the SDK tries to find and use your configuration file instead.
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Parameters
Return value
Exceptions thrown
isReady()
For mobile SDKs, the Kameleoon Client can’t initialize immediately, as it must perform a server call to retrieve the current configuration for the active feature flags. Use this method to check if the SDK is ready by callingisReady() before triggering any feature flags.
Alternatively, you can use a callback (see the runWhenReady() method for details).
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Return value
runWhenReady()
- 🔄 Performs an asynchronous request (if the configuration is outdated or missing)
KameleoonClient cannot initialize immediately, as it must perform a server call to retrieve the current configuration for all feature flags. Use the runWhenReady() method to handle the time until the client is ready for use. Additionally, you can set a maximum timeout period to control how long the client will wait before it becomes ready.
If result.getOrThrow()=true, the KameleoonClient is initialized and ready, and the feature flags will be triggered with their respective variations. If the result is false or a timeout occurs, the initialization will not complete successfully.
The callback or the coroutine-based code should include logic to apply the reference variation, as the user will be excluded from the feature flag if a timeout occurs.
- Java
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- Kotlin (Coroutines)
Parameters
Feature flags and variations
isFeatureActive()
- 📨 Sends Tracking Data to Kameleoon (depending on the
trackparameter)
This method was previously called
activateFeature, which was removed in SDK version 4.0.0.featureKey as a required argument to check if the specified feature will be active for a visitor.
If the visitor has never been associated with this feature flag, the method returns a random boolean value (true if the visitor should be shown this feature, otherwise false). If the visitor is already registered with this feature flag, this method returns the previous featureFlag value.
Ensure you properly set up error handling as shown in the example code to catch potential exceptions.
Kameleoon uses tracking to count sessions and visitors when you call certain methods, such as
isFeatureActive(), getVariation() or getVariations().Use the default true value for the track parameter when you expose visitors to a variation and need to count them. Set the track parameter to false only if you call these methods before you expose visitors.For example, if you call getVariations() to retrieve all variations before you expose visitors, set the track parameter to false. This setting prevents Kameleoon from prematurely counting a session. You can then trigger tracking later when you explicitly expose the visitor.Kameleoon sends tracking data every second by default. You can configure this interval up to five seconds using the tracking interval configuration option. Kameleoon groups tracking events into a single session as long as the interval between events is less than 30 minutes. If more than 30 minutes elapse between tracking events, Kameleoon counts the events as separate sessions. A visit appears in your reports 30 minutes after the last recorded event in the session.- Java
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Parameters
Return value
Exceptions thrown
getVariation()
- 📨 Sends Tracking Data to Kameleoon (depending on the
trackparameter)
Variation assigned to a given visitor for a specific feature flag.
This method takes a visitorCode and featureKey as mandatory arguments. The track argument is optional and defaults to true.
It returns the assigned Variation for the visitor. If the visitor is not associated with any feature flag rules, the method returns the default Variation for the given feature flag.
Ensure that proper error handling is implemented in your code to manage potential exceptions.
The default variation refers to the variation assigned to a visitor when they do not match any predefined delivery rules for a feature flag. In other words, it is the fallback variation applied to all users who are not targeted by specific rules. It’s represented as the variation in the “Then, for everyone else…” section in a management interface.
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Parameters
Return value
Exceptions thrown
getVariations()
- 📨 Sends Tracking Data to Kameleoon (depending on the
trackparameter)
Variation objects assigned to a given visitor across all feature flags.
This method iterates over all available feature flags and returns the assigned Variation for each flag associated with the specified visitor. It takes onlyActive and track as optional arguments.
- If
onlyActiveis set totrue, the methodgetVariations()will return feature flags variations provided the user is not bucketed with theoffvariation. - The
trackparameter controls whether or not the method will track the variation assignments. By default, it is set totrue. If set tofalse, the tracking will be disabled.
Variation as values. If no variation is assigned for a feature flag, the method returns the default Variation for that flag.
Proper error handling should be implemented to manage potential exceptions.
The default variation refers to the variation assigned to a visitor when they do not match any predefined delivery rules for a feature flag. In other words, it is the fallback variation applied to all users who are not targeted by specific rules. It’s represented as the variation in the “Then, for everyone else…” section in a management interface.
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Parameters
Return value
Exceptions thrown
setForcedVariation()
The method allows you to programmatically assign a specificVariation to a user, bypassing the standard evaluation process. This is especially valuable for controlled experiments where the usual evaluation logic is not required or must be skipped. It can also be helpful in scenarios like debugging or custom testing.
When a forced variation is set, it overrides Kameleoon’s real-time evaluation logic. Processes like segmentation, targeting conditions, and algorithmic calculations are skipped. To preserve segmentation and targeting conditions during an experiment, set forceTargeting=false instead.
A forced variation is treated the same as an evaluated variation. It is tracked in analytics and stored in the user context like any standard evaluated variation, ensuring consistency in reporting.
The method may throw exceptions under certain conditions (e.g., invalid parameters, user context, or internal issues). Proper exception handling is essential to ensure that your application remains stable and resilient.
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Parameters
Exceptions thrown
In most cases, only the basic error,
KameleoonException, needs to be handled, as demonstrated in the example. However, if different types of errors require a response, handle each one separately based on specific requirements. Additionally, for enhanced reliability, general language errors can be handled by including Exception.evaluateAudiences()
- 📨 Sends Tracking Data to Kameleoon
evaluateAudiences() should be called after all relevant visitor data has been set or updated, and just before getting a feature variation or checking a feature flag. This approach ensures that the visitor is evaluated against the most current data available, allowing for accurate audience assignment based on all criteria.
After calling this method, you can perform a detailed analysis of segment performance in Audiences Explorer.
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Exceptions thrown
In most cases, only the basic error,
KameleoonException, needs to be handled, as demonstrated in the example. However, if different types of errors require a response, handle each one separately based on specific requirements. Additionally, for enhanced reliability, general language errors can be handled by including Exception.getDataFile()
Returns the current SDK configuration as aDataFile object.
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Return value
Errors thrown
Goals
trackConversion()
- 📨 Sends Tracking Data to Kameleoon
goalId to track conversion on this particular goal. In addition, this method also accepts revenue, metadata and negative arguments.
The trackConversion() method doesn’t return any value. This method is non-blocking as the server call is made asynchronously.
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Parameters
metadata values are accessible through raw data exports and the results page.If the
metadata parameter is provided, Kameleoon will use these specified values for the current conversion instead of what was previously collected using the addData() method. If the parameter is omitted, Kameleoon will use the last tracked values for those CustomData prior to the conversion and within the same visit.Kameleoon will only consider the metadata values that are explicitly passed as parameters to the trackConversion() method.In the example below, Kameleoon will associate the conversion only with the custom data value explicitly provided as a parameter (here: index 5 with the value ‘Amex Credit Card’).- Java
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Events
onUpdateConfiguration()
This method was previously named
updateConfigurationHandler, which was removed in SDK version 4.0.0 release.onUpdateConfiguration() method allows you to handle the event when configuration has updated data. It takes one input parameter, completion. The completion that will be called when the configuration is updated using a real-time configuration event.
Parameters
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Visitor data
getVisitorCode()
Returns unique visitor code used in SDK.- Java
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Return value
addData()
TheaddData() method adds targeting data to storage so other methods can use the data to decide whether or not to target the current visitor.
The addData() method does not return any value and does not interact with Kameleoon back-end servers on its own. Instead, all the declared data is saved for future transmission using the flush() method. This approach reduces the number of server calls made, as the data is typically grouped into a single server call that is triggered by the flush().
The trackConversion() method also sends out any previously associated data, just like the flush(). The same holds true for getVariation() and getVariations() methods if an experimentation rule is triggered.
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Parameters
flush()
- 📨 Sends Tracking Data to Kameleoon
flush() takes the Kameleoon data associated with a visitor, and sends a tracking request along with all of the data that were added previously using the addData() method that has not yet been sent when calling one of these methods. flush() is non-blocking, as the server call is made asynchronously.
flush() provides control over when the data associated with a visitor is sent to the servers. For instance, if addData() is called a dozen times, sending data to the server after each addData() invocation would be inefficient. Call flush() once at the end.
The flush() method uses visitorCode as the unique visitor identifier, which is useful for cross-device experimentation. If you set the isUniqueIdentifier configuration parameter to true, the SDK links the flushed data to the visitor associated with the specified identifier.
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Parameters
getRemoteData()
- 🔄 Performs an asynchronous request
This method was previously called
retrieveDataFromRemoteSource, which was removed in SDK version 4.0.0.siteCode and the key argument (or the active visitorCode if the key is omitted). The visitorCode and siteCode are specified in KameleoonClientFactory.create(). Data can be stored quickly and conveniently on highly scalable remote servers using the Kameleoon Data API. The application can then retrieve the data using this method.
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- Kotlin (Coroutines)
Parameters
getRemoteVisitorData()
- 🔄 Performs an asynchronous request
getRemoteVisitorData() is an asynchronous method for retrieving Kameleoon Visits Data for the visitor from the Kameleoon Data API. The method adds data to storage for other methods to use when making targeting decisions.
Data obtained using this method plays an important role when you want to:
- use data collected from other devices.
- access a user’s history, such as custom data collected during previous visits.
By default,
getRemoteVisitorData() automatically retrieves the latest stored custom data with scope=Visitor and attaches it to the visitor without having to call the method addData(). It is particularly useful for synchronizing custom data between multiple devices.Checking only for failed results is recommended. However, if necessary, it can be verified that the data has been added to the visitor and is available for targeting purposes (or for debugging, though using logging is better for debugging). Additionally, data can be managed manually if the shouldAddData=false parameter is passed.- Java
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- Kotlin (Coroutines)
Parameters
Using parameters of RemoteVisitorDataFilter
The getRemoteVisitorData() method offers flexibility by letting you define various parameters when retrieving data on visitors. Whether you’re targeting based on goals, experiments, or variations, the same approach applies across all data types.
For example, suppose you want to retrieve data on visitors who completed a goal “Order transaction”. You can specify parameters within the getRemoteVisitorData() method to refine your targeting. For instance, if you want to target only users who converted on the goal in their last five visits, you can set the previousVisitAmount parameter to 5 and conversions to true.
The flexibility shown in this example is not limited to goal data. You can use parameters within the getRemoteVisitorData() method to retrieve data on a variety of visitor behaviors.
Here is the list of available
RemoteVisitorDataFilter options:getVisitorWarehouseAudience()
- 🔄 Performs an asynchronous request
warehouseKey parameter is typically your internal user ID. The customDataIndex parameter corresponds to the Kameleoon custom data that Kameleoon uses to target your visitors. You can refer to the warehouse targeting documentation for additional details.
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Parameters
setLegalConsent()
You must use this method to specify whether the visitor has given legal consent to use their personal data. Setting thelegalConsent parameter to false limits the types of data that you can include in tracking requests. This method helps you adhere to legal and regulatory requirements while responsibly managing visitor data. You can find more information on personal data in the consent management policy.
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Parameters
Data types
This section lists thecom.Kameleoon.Data types supported by Kameleoon. Several standard data types are provided, as well as the CustomData type for defining custom data types.
Conversion
TheConversion data set stored here can be used to filter experiment and personalization reports by any goal associated with it.
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Device
Since Android SDK
4.13.0, the Device is automatically detected based on the android.content.Context. However, you can still manually override it if needed.- Java
Geolocation
Geolocation contains the visitor’s geolocation details.
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CustomData
Define your own custom data types in the Kameleoon app or the Data API and use them from the SDK.- The index of the custom data is available in the Custom data configuration page of the Kameleoon app. Be careful: this index starts at 0, so the first custom data you create for a given site would have the index 0, not 1.
- Adding a
CustomDatainstance created with a name when the SDK instance configuration is not up to date or the name is not registered, will result in the data being ignored.
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Returned Types
DataFile
TheDataFile contains the SDK configuration details.
It can be extended with additional information if required by clients. If you need more details, please contact your Customer Success Manager.
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FeatureFlag
TheFeatureFlag represents a set of properties that define a feature flag itself — for example, its Variations, Rules, environment status, and other related details.
It can be extended with additional information if required by clients. If you need more details, please contact your Customer Success Manager.
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Rule
TheRule represents a set of properties that define a rule itself — for example, its Variations.
It can be extended with additional information if required by clients. If you need more details, please contact your Customer Success Manager.
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Variation
Variation contains information about the assigned variation to the visitor (or the default variation, if no specific assignment exists).
- The
Variationobject provides details about the assigned variation and its associated experiment, while theVariableobject contains specific details about each variable within a variation. - Ensure that your code handles the case where
idorexperimentIdmay benull, indicating a default variation. - The
variablesmap might be empty if no variables are associated with the variation.
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Variable
Variable contains information about a variable associated with the assigned variation.
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Deprecated methods
getFeatureVariationKey()
- 📨 Sends Tracking Data to Kameleoon
Use
getVariation() instead.featureKey as a required argument to retrieve the variation key for the specified user.
If the visitor has never been associated with this feature flag, the SDK returns a randomly assigned variation key (according to the feature flag rules). If the visitor is already registered with this feature flag, this method returns the previous variation key. If the user does not match any of the rules, the default value will be returned, which is defined in your customer’s account.
Ensure you set up proper error handling as shown in the example code to catch potential exceptions.
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getFeatureVariationKey()
- 📨 Sends Tracking Data to Kameleoon
Use
getVariation() instead.featureKey as a required argument to retrieve the variation key for the specified user.
If the visitor has never been associated with this feature flag, the SDK returns a randomly assigned variation key (according to the feature flag rules). If the visitor is already registered with this feature flag, this method returns the previous variation key. If the user does not match any of the rules, the default value will be returned, which is defined in your customer’s account.
Ensure you set up proper error handling as shown in the example code to catch potential exceptions.
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getActiveFeatures()
- Use
getVariations()instead. - Previously called
getFeatureListForVisitorCode, which was removed in SDK version4.0.0release.
getActiveFeatures method retrieves information about the active feature flags that are available for the visitor.
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Return value
getFeatureVariable()
- 📨 Sends Tracking Data to Kameleoon
Use
getVariation() instead.featureKey, and variableKey as required arguments.
If the visitor has never been associated with the featureKey, the SDK returns a randomly assigned variable value for the specified variation key (according to the feature flag rules). If the visitor is already registered with this feature flag, the method returns the variable value for the previously registered variation. If the user does not match any of the rules, the default variable value is returned.
Ensure you set up proper error handling as shown in the example code to catch potential exceptions.
- Java
- Kotlin
Parameters
Return value
Exceptions thrown
getFeatureVariationVariables()
- Use
getVariation()instead. - This method was previously called
getFeatureAllVariables, which was removed in SDK version4.0.0release.
featureKey. It returns the data as a Map<String, Object> type, as defined in the Kameleoon app. It throws an exception (FeatureNotFound) if the requested feature was not found in the SDK’s internal configuration.
- Java
- Kotlin
Parameters
Return value
Exceptions thrown
getFeatureList()
Returns a list of feature flag keys currently available for the SDK.- Java
- Kotlin