Looking for advice on WFM schedule publishing via API. Using Genesys Cloud WFM SDK v1.2.4. The POST to /api/v2/wfm/schedules/{scheduleId}/publish returns 422 Unprocessable Entity. The error payload indicates invalid_date_range. This happens only when the schedule is generated by Terraform module genesyscloud-wfm and pushed via GitHub Actions. Manual publish via UI works fine. The JSON body looks valid. Any ideas on date format nuances in the API vs UI?
Thanks.
Have you tried verifying the timezone alignment in your Terraform variables? The WFM API expects UTC ISO 8601, but local configs often slip into Singapore Standard Time.
| Requirement | Value |
|---|---|
| Timezone | UTC |
| Format | ISO 8601 |
Check for hidden offset mismatches in the JSON payload.
Make sure you verify the exact timestamp precision and timezone handling in your Terraform configuration, as the WFM API is notoriously strict about ISO 8601 compliance when publishing schedules programmatically. The invalid_date_range error often masks a deeper issue with how the Genesys Cloud WFM service interprets the start and end times relative to the agent’s local timezone versus the system UTC.
When using the genesyscloud-wfm module, ensure that the start_date and end_date fields are explicitly formatted as YYYY-MM-DDTHH:mm:ss.sssZ. The trailing Z is critical. If your Terraform variables are derived from local machine time or a non-UTC environment variable, the resulting JSON payload might lack the Z suffix or include an incorrect offset like +08:00. The API parser may reject this as an invalid range because it cannot reconcile the offset with the schedule’s defined timezone context.
Warning: Do not assume the UI’s lenient parsing applies to the API. The UI client-side logic often auto-corrects minor formatting issues, but the backend API for programmatic publishing enforces strict schema validation.
Check your GitHub Actions workflow environment. If the runner is set to a specific timezone, the default timestamp generation might be slipping into that local time. Force the timezone to UTC in your CI/CD pipeline before generating the schedule JSON. You can do this by setting TZ=UTC in your action’s environment variables.
Additionally, review the granularity setting. If your schedule uses hourly granularity, the start and end times must align exactly with the hour boundaries. A mismatch here, combined with a timezone offset, can trigger the invalid_date_range response. Try printing the exact JSON body sent to the API in your GitHub Actions logs to confirm the format matches the expected 2023-10-27T00:00:00.000Z structure. If the precision is missing milliseconds, append them explicitly in your Terraform output configuration. This level of detail is often overlooked but is required for successful bulk operations via AppFoundry or direct API calls.