Could someone explain the correct way to parse the nested JSON structure of a Genesys Cloud v2.analytics.conversation.aggregate event in an Architect Data Action? The payload contains deeply nested arrays for metrics and intervals that are causing mapping errors.
I attempted to use standard JSON path syntax in the Data Action mapping, but it returns null for nested array items.
I tried flattening the JSON using a custom function in the webhook receiver, but the schema validation fails on the aggregate level.
The specific issue is extracting the ‘value’ field from the ‘metrics’ array within the ‘intervals’ object.
You might want to check at using recursive flattening before mapping. The aggregate payload structure mirrors HSM template validation rules, where nested arrays break standard parsers.
Pre-process the JSON in your webhook receiver.
Flatten metrics and intervals into a single array.
Map the flattened list in Architect.
def flatten_payload(data):
return [item for sublist in data['intervals'] for item in sublist['metrics']]
The docs actually state that the v2.analytics.conversation.aggregate payload structure is rigid and does not support dynamic array iteration within standard Data Action mappings. You cannot iterate over the metrics or intervals arrays directly in the mapping step because Architect expects a flat key-value pair for the outbound request. The previous suggestion about recursive flattening is correct in theory but practically flawed if you are trying to keep everything inside Genesys Cloud without an external middleware service. The API returns a hierarchical object, and trying to force that into a flat map will always result in null values or truncated data.
Here is a working example of how to handle this using a simple Node.js webhook receiver that flattens the structure before sending it back to Architect. This approach ensures that your Data Action receives a clean, mappable payload.
This method decouples the complex parsing logic from Architect, which is not designed for heavy JSON manipulation. It keeps your flow clean and avoids the 500 errors you were seeing.