POST /api/v2/wfm/schedules returns 400 Bad Request with "error":"invalid_schedule" when publishing weekly shifts. This happens specifically for agents with overlapping shift preferences. We are using the Python SDK v3.1.2. The payload structure seems correct per docs, but validation fails silently on the backend. Any known issues with preference overlap logic?
{
"scheduleId": "sch-123",
"startTime": "2023-10-01T08:00:00-05:00",
"agentIds": ["agent-xyz"]
}
Ah, yeah, this is a known issue. The WFM schedule API does not handle overlapping preferences in the way the bulk export recorder handles concurrent streams. You need to flatten the preference array before posting.
Take a look at at the genesyscloud_wfm_schedule resource constraints in the Terraform provider before relying solely on the REST API payload. The 400 Bad Request with invalid_schedule often stems from a mismatch between the client-side validation logic and the server-side constraint checks, particularly when shiftPreferences are not strictly disjoint.
The WFM module is strict about time intervals. If two shifts overlap even by one second, the API rejects the entire batch. The Python SDK does not automatically resolve these conflicts. You need to implement a pre-flight check in your deployment pipeline to ensure startTime and endTime for each shift in the scheduleData array are mutually exclusive.
Here is a snippet for a validation function in Python:
def validate_shifts(shifts):
sorted_shifts = sorted(shifts, key=lambda x: x['startTime'])
for i in range(len(sorted_shifts) - 1):
if sorted_shifts[i]['endTime'] > sorted_shifts[i+1]['startTime']:
raise ValueError("Overlapping shifts detected")
Also, check the scheduleType. If you are using PUBLISHED directly without a DRAFT state transition, the system may reject complex preference maps. It is safer to post to DRAFT, validate, then publish.
In my Terraform modules, I handle this by generating the schedule JSON in a local-exec script before passing it to the genesyscloud_wfm_schedule resource. This prevents state drift and allows for easier debugging of the 400 error. The error message invalid_schedule is generic, so checking the debug logs in the GC admin console under System Settings → Logging can reveal if it is a timezone conversion issue or a true overlap.
Do not ignore the timezone field in the payload. If it is set to UTC but the shifts are defined in Australia/Sydney, the overlap logic will fail silently during conversion. Ensure timezone matches the agent’s local setting.