Having some issues getting my configuration to work correctly when attempting to map historical Zendesk ticket fields to Genesys Cloud interaction attributes via the Data Action integration. We are in the middle of a migration from Zendesk to Genesys Cloud (EU1 region), and the goal is to preserve ticket metadata in the new system.
The Data Action is configured to trigger on Interaction Created events. Inside the action, I have a JavaScript step that attempts to parse the incoming payload and map Zendesk_Ticket_ID to a custom interaction attribute. However, the action consistently fails with a 500 Internal Server Error in the logs, and the interaction ends up without the mapped data.
Here is the relevant snippet from the Data Action logs:
[2024-05-20T14:30:00Z] ERROR: Script execution failed. ReferenceError: ticketId is not defined.
I have verified that the incoming payload from the Zendesk webhook contains the ticketId field. The JavaScript code is straightforward:
var ticketId = event.payload.Zendesk_Ticket_ID;
interaction.setCustomAttribute('zendesk_ticket_ref', ticketId);
I read this in the Genesys Cloud documentation regarding Data Actions:
“Data Actions allow you to automate tasks based on events. Custom attributes must be defined in the Interaction model before they can be set via script.”
I have created the custom attribute zendesk_ticket_ref in the Interaction model under Admin > Users & Permissions > Interactions. The attribute type is String. Despite this, the script fails to recognize the variable. Is there a specific scope issue with how Zendesk payloads are parsed in Genesys Cloud Data Actions? Or is there a delay in attribute availability after creation?
The environment is Genesys Cloud EU1. We are using the latest version of the Data Action editor. Any insights on why the script throws a ReferenceError when the field clearly exists in the payload would be appreciated. This is blocking our migration timeline.
This is caused by a mismatch in the JSON structure expected by the Data Action JavaScript environment versus the actual payload schema provided by the Zendesk webhook or export tool. When migrating historical data, the Interaction Created event often carries a sanitized or partial payload that lacks the deep nesting required for direct field mapping. The JavaScript execution context within Data Actions is strict; if a property path does not exist, it throws an undefined error rather than returning null, which halts the mapping process.
To resolve this, you must implement a defensive parsing strategy within your JavaScript step. Ensure you are checking for the existence of each nested object before attempting to access its properties. Here is a robust pattern for mapping custom ticket fields:
function mapZendeskFields(payload) {
const ticketData = payload.sourceData || {};
const customFields = ticketData.custom_fields || [];
// Helper to safely find field value
const getValue = (id) => {
const field = customFields.find(f => f.id === id);
return field ? field.value : null;
};
return {
// Map specific Zendesk IDs to Genesys attributes
'Zendesk Priority': getValue(360001234567),
'Zendesk Group': getValue(360001234568),
'Ticket Subject': ticketData.subject || ''
};
}
Additionally, verify that your Data Action configuration explicitly defines the output schema types. If the JavaScript step returns an object with undefined values, the subsequent API call to update the interaction may fail due to type coercion errors. Review the Data Action logging to confirm the exact payload structure. For a deeper dive into schema validation during migrations, refer to the support article: Handling Null Values in Data Action Mappings.
The payload structure in Data Actions requires explicit null checks before accessing nested properties, as the JavaScript engine throws on undefined paths. Implementing a safe traversal function or validating the incoming JSON schema against the expected Zendesk export format prevents these runtime failures. This aligns with the strict execution context mentioned in the previous response.