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Dev guide

Customize logger for the Flutter SDK

This topic describes how to customize the log information about experiments coming from the Optimizely Flutter SDK to help with debugging.

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Coming soon

Customizing the log information for the Flutter SDK is in progress and will be released soon.

The logger logs information about your experiments to help you with debugging. You can customize where log information is sent and what kind of information is tracked.

To improve your experience setting up the SDK and configuring your production environment, we recommend that you pass in a logger for your Optimizely client. See the code example below.

TODO

Log levels

The table below lists the log levels for the Flutter SDK.

Log LevelExplanation
OptimizelySDK.Logger.LogLevel.ERROREvents that prevent feature flags from functioning correctly (for example, invalid datafile in initialization and invalid feature keys) are logged. The user can take action to correct.
OptimizelySDK.Logger.LogLevel.WARNEvents that do not prevent feature flags from functioning correctly, but can have unexpected outcomes (for example, future API deprecation, logger or error handler are not set properly, and nil values from getters) are logged.
OptimizelySDK.Logger.LogLevel.INFOEvents of significance (for example, decision started, decision succeeded, tracking started, and tracking succeeded) are logged. This is helpful in showing the lifecycle of an API call.
OptimizelySDK.Logger.LogLevel.DEBUGAny information related to errors that can help us debug the issue (for example, the feature flag is not running, user is not included in the rollout) are logged.