Retrieves a list of features that are enabled for the user. Invoking this method is equivalent to running Is Feature Enabled for each feature in the datafile sequentially.
This method takes into account the user
attributes passed in, to determine if the user is part of the audience that qualifies for the experiment.
This method iterates through all feature flags and for each feature flag invokes Is Feature Enabled. If a feature is enabled, this method adds the feature’s key to the return list.
The table below lists the required and optional parameters in Python.
The ID of the user to check for access to features.
A map of custom key-value string pairs specifying attributes for the user that are used for audience targeting. Non-string values are only supported in the 3.0 SDK and above.
A list of the keys of the features that are enabled for the user.
This section shows a simple example of how you can use the method.
enabled_features = optimizely_instance.get_enabled_features(user_id, attributes)
The language/platform source files containing the implementation for Python is optimizely.py.
Updated almost 3 years ago