Stuck on a recurring issue during our weekly schedule publish cycle. We are attempting to publish the schedule for the next seven days using the POST /api/v2/wfm/schedules/{scheduleId}/publish endpoint. The request returns a 409 Conflict error with the message: “Schedule contains overlapping shifts due to unapproved shift swaps.”
We are running this publish job from our internal orchestrator running on Ubuntu 22.04 LTS. The WFM client library version is v2.1.4.
The strange part is that all shift swaps appear approved in the UI under Schedule > Shift Swaps. We verified the status via the GET /api/v2/wfm/schedules/shift-swaps endpoint, and the approvalStatus field returns APPROVED for every pending swap. However, the publish job still fails.
We have tried:
Invalidating the schedule cache via POST /api/v2/wfm/schedules/{scheduleId}/invalidate
Re-fetching the schedule data before the publish attempt
Checking for any time-zone mismatches between our Chicago (America/Chicago) server time and the platform’s UTC timestamps.
Has anyone seen a scenario where approved swaps still cause a conflict during publish? Are there hidden validation rules we are missing?
The 409 Conflict error during schedule publication is typically resolved by ensuring all shift swap requests are either approved or explicitly excluded from the publish window before initiating the API call. The asynchronous replication lag between the WFM UI and the backend database often causes this discrepancy, where the UI shows an approved state while the API still sees pending conflicts.
# Check for overlapping shifts before publishing
import requests
def check_schedule_conflicts(schedule_id, api_token):
url = f"https://mycompany.mygenesiscustomer.com/api/v2/wfm/schedules/{schedule_id}/conflicts"
headers = {
"Authorization": f"Bearer {api_token}",
"Content-Type": "application/json"
}
response = requests.get(url, headers=headers)
if response.status_code == 200:
conflicts = response.json().get('conflicts', [])
if conflicts:
print(f"Conflicts detected: {conflicts}")
return False
else:
print("No conflicts found. Safe to publish.")
return True
else:
print(f"Error checking conflicts: {response.status_code}")
return False
# Example usage
if check_schedule_conflicts("schedule-123", "your_api_token"):
# Proceed with publication
pass
This approach ensures that any pending shift swaps are identified and resolved before the publish job runs, preventing the 409 Conflict error. It is also advisable to implement a retry mechanism with exponential backoff to handle transient issues during the publication process.
The easiest fix here is this is to stop relying on the standard publish endpoint and instead implement a pre-flight check in your load test script. the 409 conflict happens because the api sees pending swaps that haven’t fully committed to the db yet. my experience with high concurrency shows that the ui state and api state can drift by up to 5 seconds. so you need to handle this in your jmeter config.
add a http request sampler before the publish call to hit /api/v2/wfm/schedules/{scheduleId}/status. if it returns a ‘conflict’ or ‘pending’ state, add a random timer between 2000 and 5000 ms. then retry the status check. only proceed to the publish endpoint when the status is ‘clean’. this prevents hammering the api with invalid requests which can trigger rate limits.
here is a snippet for the jmeter beanshell assertion to handle this logic:
String responseCode = prev.getResponseCode();
if (responseCode.equals("409")) {
Failure = true;
FailureMessage = "Conflict detected due to swap lag. Retry needed.";
} else {
Failure = false;
}
also make sure your thread group has a constant throughput timer set to match the api’s rate limit for wfm endpoints. if you are pushing too many requests per second, the queue might back up and cause these conflicts to persist longer than usual. i usually cap the throughput at 50 requests per second for wfm api calls to avoid this. check your websocket connection limits too, as a saturated edge can delay the swap approval propagation. this approach saved me from similar issues when testing concurrent schedule updates.
Cause: Replication lag between WFM UI and backend database creates transient 409 conflicts during high-volume publishes.
Solution: Implement a pre-flight validation step. Query shift swap status via API before publishing. If pending, wait or exclude. This ensures data consistency and prevents pipeline failures in automated workflows.