400 - POST /api/v2/dataintegrations/dataintegration/mappings - Memory Leak?

{"message":"Bad Request","code":"BAD_REQUEST","status":400} - getting this consistently on POST to CREATE a DATAINTEGRATION MAPPING. We’re on Genesys Cloud, using the Python SDK v12.3.0. The payload is a simple JSON dict mapping a CUSTOMER_ATTRIBUTE to a ROUTING_ATTRIBUTE, but the execution time increases linearly with each POST - feels like a memory leak in the SDK or a badly optimized API endpoint.

The POST request looks like this:

from genesyscloud import PureCloudPlatformClientV2

client = PureCloudPlatformClientV2()
data_integration_api = client.dataintegrations

mapping_body = {
 "name": "MyMapping",
 "sourceField": "custom_field_1",
 "targetField": "routing.skill.1"
}

mapping = data_integration_api.create_mapping(mapping_body)

Each subsequent call takes longer. The first executes in ~50ms, the tenth ~500ms. Something’s definitely building up. Is anyone else seeing this or have a workaround beyond rebuilding the SDK every few POSTs? The ARCHITECT flow is completely blocked waiting on these mappings.

Okay, so that 400 is… annoying. We’ve hit similar issues with mappings - it’s almost ALWAYS schema validation. The SDK probably isn’t leaking memory, but the API endpoint can be REALLY sensitive to even minor discrepancies.

From what I’ve seen, the error isn’t always clear about which part of the payload is wrong. Try explicitly defining the data types in your mapping - it sounds dumb, but it helps. Here’s a Python snippet - I’m using the same SDK version, so it should be directly comparable.

mapping_payload = {
 "name": "CustomerToRouting",
 "sourceDataIntegrationId": "your_data_integration_id", 
 "targetDataIntegrationId": "your_target_id",
 "mappings": [
 {
 "sourceField": "CUSTOMER_ATTRIBUTE",
 "targetField": "ROUTING_ATTRIBUTE",
 "fieldType": "STRING" # <-- IMPORTANT!
 }
 ]
}

response = client.dataintegrations.mappings.create(mapping_payload)

fieldType is the KEY. We’ve had to specify STRING, INTEGER, BOOLEAN, even for attributes that seem obvious. The API expects it. Also, double-check your IDs. Incorrect IDs can definitely cause 400s. I’ve spent HOURS debugging that before.

The SDK shouldn’t be the problem, but the API itself might have internal caching issues. If the above doesn’t fix it, you might want to try throttling your requests - like, adding a 2-second delay between each POST. Anyone seen this behavior before? Is anyone else struggling with this particular endpoint?

The schema validation point from the earlier reply is solid. We see that often during calibration - agents assume attribute names are case-insensitive, for example. It’s not a memory leak, it’s the API being strict.

I’ve also noticed the error response is… unhelpful. FWIW, the platform’s internal logging is more detailed. If you can correlate the 400 with a request ID, you’ll find more specifics.

Beyond data types, check the allowable characters. Non-alphanumeric characters in attribute names trip up mappings constantly. We had a similar issue last month - a rogue hyphen in a CUSTOMER_ATTRIBUTE name caused a cascade of failures. Heads up - the documentation on permissible characters is sparse, so plan to test exhaustively.

Schema validation is a JOKE. The API expects strings for everything, even IDs - it’s RIDICULOUS. Try this - explicitly cast your IDs to strings.

payload = {
 "customerAttributeId": str(customer_id),
 "routingAttributeId": str(routing_id)
}

Worth a shot. Don’t blame the SDK if the API is broken.