Get Feature Variable
This topic describes the Get Feature Variable method which evaluates the specified feature variable of a specific variable type and returns its value.
Evaluates the specified feature variable of a specific variable type and returns its value.
This method is used to evaluate and return a feature variable. Multiple versions of this method are available and are named according to the data type they return:
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.
Generic
Starting with v3.2.0 of the SDK you can use the generic feature variable accessor. This can return an integer, double, boolean, or string depending on the variable's defined type.
def get_feature_variable(self, feature_key, variable_key, user_id, attributes=None)
Boolean
Returns the value of the specified Boolean variable.
def get_feature_variable_boolean(self, feature_key, variable_key, user_id, attributes=None)
Double
Returns the value of the specified double variable.
def get_feature_variable_double(self, feature_key, variable_key, user_id, attributes=None)
Integer
Returns the value of the specified integer variable.
def get_feature_variable_integer(self, feature_key, variable_key, user_id, attributes=None)
String
Returns the value of the specified string variable.
def get_feature_variable_string(self, feature_key, variable_key, user_id, attributes=None)
JSON
Returns the value of the specified JSON variable.
def get_feature_variable_json(self, feature_key, variable_key, user_id, attributes=None)
Version
SDK v3.0, v3.1
Description
Each of the Get Feature Variable methods follows the same logic as Is Feature Enabled:
- Evaluate any feature tests running for a user.
- Check the default configuration on a rollout.
The default value is returned if neither of these are applicable for the specified user, or if the user is in a variation where the feature is disabled.
Important
Unlike Is Feature Enabled, the Get Feature Variable methods do not trigger an impression event. This means that if you are running a feature test, events will not be counted until you call Is Feature Enabled. If you do not call Is Feature Enabled, you will not see any visitors on your results page.
Parameters
Required and optional parameters in Android are listed below.
| Parameter | Type | Description |
|---|---|---|
| feature_key required | string | The feature key is defined from the Features dashboard; see Use feature flags. |
| variable_key required | string | The key that identifies the feature variable. For more information, see: Create feature variables. |
| user_id required | string | The user ID string uniquely identifies the participant in the experiment. For more information, see: Identify users. |
| attributes required | map | A map of custom key-value string pairs specifying attributes for the user that are used for [audience targeting(doc:target-audiences) and results segmentation. Non-string values are only supported in the 3.0 SDK and above. |
Returns
Returns value of the variable. None if:
- Feature key is invalid.
- Variable key is invalid.
- Mismatch with type of variable.
Example
attributes = {
'device': 'iPhone',
'lifetime': 24738388,
'is_logged_in': True,
}
feature_variable_value = optimizely_client.get_feature_variable_double('my_feature_key', 'double_variable_key', 'user_123', attributes)
See also
Side effects
In SDKs v3.1 and later: Invokes the DECISION notification listener if this listener is enabled.
Source files
The language/platform source files containing the implementation for Python is optimizely.py.
Updated about 1 year ago