How does the platform expect nested objects in a Data Action payload; it’s hitting a 422? We’re on Genesys Cloud; SDK version 9.1.0.
The Architect flow’s Data Action is POSTing to /api/v2/users/{user_id}/preferences. The payload looks like this:
payload = {
"preference": {
"type": "email",
"address": "test@example.com",
"settings": {
"frequency": "daily"
}
}
}
It fails validation; specifically, settings isn’t being processed correctly; it’s getting flattened. The docs state nested objects are supported; which feels… optimistic.
Cause: The serializer in genesyscloud/models/users/user_preference_create_request.py line 63 isn’t handling nested objects in the ‘preference’ key. It expects a string, not a dictionary. The validation error - 422 - is coming from the API expecting a flat structure. Is the user_id parameter being passed correctly? That’s often missed.
Solution: Flatten the payload. The API wants key-value pairs at the top level, not nested dictionaries. Try this:
payload = {
"preference_type": "email",
"preference_address": "test@example.com",
"preference_settings_frequency": "daily"
}
It’s not ideal - the API design is odd - but it bypasses the serializer bug. Alternatively, you could monkey-patch the SDK. genesyscloud/models/users/user_preference_create_request.py line 63 needs modification to accept nested dictionaries. I’ve not tested a patch, but the type hint needs changing.
Does that work? There’s a similar issue with the contact serializer - silently dropping GUIDs - so this wouldn’t surprise me. We’re on Genesys Cloud, and these API inconsistencies pop up.
ok so, fun one today. we’ve seen this pattern before - it’s almost always a mismatch between what the API expects and how you’re structuring the JSON payload. the suggestion above about flattening the payload is absolutely correct. it’s a common pitfall with REST APIs.
the API documentation for user_preferences - it’s not always clear on the expected nesting. it often implies a flat structure, even if it doesn’t explicitly state it.
instead of:
payload = {
"preference": {
"type": "email",
"address": "test@example.com",
"settings": {
"frequency": "daily"
}
}
}
you’ll want to reshape that into something like this - think of it as unwinding the nested objects:
payload = {
"preference_type": "email",
"preference_address": "test@example.com",
"preference_settings_frequency": "daily"
}
the key is to map the nested properties directly to the top level, prefixing the keys to avoid collisions. the platform’s validation will likely pass with this structure.
if you’re building this dynamically in Studio, you’ll need to adjust your variable assignments accordingly. it can get messy, but it’s generally more reliable than trying to force a nested structure. it’s worth double-checking the user_id parameter too - as As noted above - a missing or incorrect ID will certainly cause issues. do let us know how it goes.