Data Action POST - 422 Unprocessable Entity

General Discussion
1

How does Genesys Cloud handle nested objects in DATA ACTION payloads - specifically, when the SCHEMA VALIDATION is choking on something seemingly valid? We’re pushing a POST to execute the action and getting a 422 Unprocessable Entity, but the error message is… unhelpful.

The payload’s supposed to update a custom object with a nested ‘details’ object, and the SCHEMA VALIDATION seems to think the ‘details’ object is missing a required field even though it’s clearly there. It’s happening in a QA environment.

Here’s the error:

{
 "message": "Schema validation failed",
 "code": 422,
 "details": [
 {
 "field": "details",
 "message": "Required property missing: fieldName",
 "code": 422
 }
 ],
 "errors": []
}

We’ve validated the SCHEMA in the DATA ACTION definition through a GET request - it shows the ‘fieldName’ as optional, not required. The SDK version is 6.1.0. The payload itself looks like this:

{
 "customObjectField1": "value1",
 "details": {
 "fieldName": "someValue",
 "anotherField": "anotherValue"
 }
}

Is there a caching issue somewhere, or are we missing something obvious about how SCHEMA VALIDATION works with nested objects?

2 Likes
2

u’re using the schema validation, right? Not just letting the data action handle it? We had this exact problem in '22 - schema defined ‘details’ as required → POST missing ‘details’ → 422. Turns out the schema validator doesn’t like empty objects. Try setting a default value in the schema - even just “null” - and see if that sticks. Took like 45 mins to track down.

3

cause: the 422 isn’t necessarily about missing fields - it’s about type mismatches within the nested object. schema validation in gc is…particular. it’ll happily accept a string where it expects a number, and then blow up later. the error msgs are intentionally vague, mostly to avoid leaking internal types. also, gc’s serializer has quirks - it’ll happily drop trailing decimals.

solution: inspect the raw json payload before gc sees it. not the formatted view in your client, but the actual string. then compare that against the schema. i’ve found it helpful to use a tool like jq to validate the json schema directly. something like this:

jq -e --arg schema "$(cat /path/to/your/schema.json)" '.[].details | type' payload.json

that’ll show you what types jq thinks are in ‘details’. if it differs from the schema, that’s your issue. you’ll need to fix the serialization logic on your end. in my experience, the api doesn’t give a damn about whitespace. just types.

4

sorry if this is kinda dumb, but are you sure the schema is actually deployed to the Data Action? We had a similar issue - the schema looked fine in the UI, but wasn’t actually active in the Data Action config.

You can check the Data Action’s details via the API:

DataAction dataAction = apiInstance.getDataAction(dataActionId);
String schemaString = dataAction.getSchema(); // Check this!

If it’s wrong, you gotta redeploy.