PureCloudPlatformClientV2 rejects the dataActions transfer payload with a 400 whenever the source URI matrix hits the concurrent job limit, and the validation pipeline skips the destination permission check before it even touches the transfer engine constraints. We’re sending the atomic POST to /api/v2/data-actions/jobs using Python requests, but the format verification fails on the jobIdRef array because the schema expects a flat string instead of our nested object structure. The transfer mode directive is locked to INCREMENTAL, yet the initiation logic keeps dropping the webhook callbacks for the progress tracking triggers. Latency spikes to 4200ms right after the source accessibility check passes, and the audit log generation cuts off mid-stream. Throughput rates flatline and the external data lake catalog sync just stops responding. We’ve adjusted the maxConcurrentJobs field but the transfer engine still blocks the request. Honestly the SDK documentation claims the DataActionJobCreateRequest model handles the format verification automatically, but it’s clearly misreading the transferMode flag. Here’s the payload we’re pushing.
Does the jobIdRef array actually reference a pre-existing DataActionJob or does the generator just spit out fresh uuid4 strings client-side before the payload even leaves the requests session? The validation pipeline throws a 400 immediately when the source uri matrix exceeds the tenant-level maxConcurrentJobs threshold, so the schema check on jobIdRef never actually runs. The array rejection happens because the payload structure violates the DataActionJobRequest schema when the gateway detects a collision. The jobIdRef field isn’t optional here. If passing a list of external IDs, the engine expects the specific id format returned by the /api/v2/data-actions/jobs GET endpoint.
The requests library doesn’t auto-handle the pagination headers for the job list, so the loop needs to process the nextPage token until the count drops below the limit.
Make sure the jobIdRef inside the payload matches the exact id string from the previous run if trying to resume, or leave it empty for a fresh execution. The schema validator is strict about the type field matching DataActionJob.
Are you pulling those jobIdRef values from the active job queue or just generating fresh UUIDs on the fly? It feels a lot like tuning keyword spotting thresholds. If the pipeline gets random strings instead of validated references, precision drops hard and the validation engine throws a 400 before it even checks destination permissions. You’ll want to swap the array population logic to query the active jobs endpoint first.
active_jobs = client.get_data_actions_jobs(limit=25).entities
valid_refs = [job.id for job in active_jobs if job.status == "RUNNING"]
payload["jobIdRef"] = valid_refs[:max_concurrent]
The community posts on strict schema validation usually point to this exact mismatch. Sentiment calibration works the same way. The gateway drops the payload if the matrix drifts past the threshold.