Modify Experiment Settings
Last updated
Last updated
In the Settings Details Page, click 'More Actions' -> 'Edit Settings'
In the Edit Experiment Page, you can edit the randomization_key, the list of segmenters and their variable mappings.
When modifying settings, please take note of the following pointers:
Segmenters with asterisk(*) are required segmenters that cannot be removed from the selected list.
Removing Segmenters will not be allowed when there are 1 or more 'active' and 'yet-to-end' experiments that are not defined granularly enough.
The following scenario is an example:
Currently selected segmenters: country, service
Currently created experiments:
Suppose we want to remove service segmenter from the project, this would make it impossible to distinguish between both experiments when XP tries to fetch a treatment because the only segmenter is country and both experiments have the same value, i.e, SG in this case.
Validation configuration can be edited and configuration can be tested in the playground provided in the Edit Validation View. Both External Validation URL and Treatment Validation Rules can be left blank.
From the Validation Detail page, click 'More Actions' -> 'Configure Validation'.
External Validation: URL of external validation to validate experiments.
Note that the external validation endpoint will be called whenever experiments or treatments are created or edited. XP will send a POST request to the following HTTP endpoint with the following payload that has to be handled by the custom web service:
A response with status code of 200 will be deemed as successful. A timeout of 5 seconds is also configured to treat any hanging call to the validation URL as a failure.
To test that the data satisfies one of the following conditions:
.field1="abc" and .field2="def" and .field3.field4 is of type float
(OR) .field1="xyz" and .field2="def" and .field3.field4 is of type int
To test that a certain property weight in an array field .config_details.models sums to 1 across all elements:
Sample experiment schema:
The entire experiment will be sent to the validation url for validation
Each treatment configuration within the experiment will be validated with all of the treatment validation rules
Both of these conditions must be fulfilled before the experiment can be created or updated successfully.
Sample treatment schema:
The treatment configuration will be sent to the validation url for validation
The treatment configuration will be validated with all of the treatment validation rules
Both of these conditions must be fulfilled before the treatment can be created or updated successfully.
To test entities such as treatment configuration, before saving them, you can access the validation playground page by clicking the blue button Playground at the top right hand corner of the Edit Validation Page.
External Validation: Select the External Validation radio button under Validation Type and fill in the Sample Data text field with a sample payload that you would like to send your validation url.
Treatment Validation Rules: Select the Treatment Validation Rules radio button under Validation Type and fill in the Sample Data text field with a treatment configuration that you would like to validate against the treatment validation rules.
Click on validate once you are done to perform the validation.
In the Edit Validation Page, you can edit the Validation's configuration.
Treatment Validation Rules: Rules, specified in the form of , used to validate treatment configuration of experiments. In addition to the default Go Template operations, those from the are also supported. All rules will be evaluated on the treatment configuration and must return true for the operation to be permitted. Some examples below.
