Quick question about the WFM Reporting API v2. Pulling the adherence report for the Chicago timezone returns empty data sets for agents with shift swaps approved within the last 24 hours. The standard dashboard shows the data correctly, but the JSON response is null for those specific intervals.
Running version 2024.1.0 of the reporting client. Is there a known sync delay between the shift swap approval service and the historical adherence store that causes this gap?
Need to automate this export for the weekly publish cycle, so manual fixes aren’t an option here.
Oh, this is a known issue…
The discrepancy between the dashboard and the WFM Reporting API v2 regarding shift swaps is typically caused by the asynchronous replication process between the real-time workforce management store and the historical analytics database. The dashboard often pulls from a near-real-time cache, while the API queries the finalized adherence store, which has a documented propagation delay of up to 45 minutes for approved schedule modifications.
To mitigate this in your automation scripts, implement a retry logic with an exponential backoff specifically for records flagged with recent schedule_change_event timestamps. This ensures the API call waits for the data consistency window to close before expecting non-null values.
import time
def fetch_adherence_with_retry(agent_id, max_retries=5, base_delay=60):
for attempt in range(max_retries):
response = wfm_api.get_adherence_report(agent_id)
if response and response.get('data_integrity_check') == 'complete':
return response
# Calculate backoff: 60s, 120s, 240s, etc.
delay = base_delay * (2 ** attempt)
print(f"Data not yet consistent. Retrying in {delay} seconds...")
time.sleep(delay)
raise Exception("Adherence data failed to sync after maximum retries.")
It is also worth verifying that the shift_swap event type is explicitly included in the API request payload filters. Sometimes, excluding specific event categories inadvertently filters out the adjusted schedule intervals. Check the request body to ensure include_scheduled_changes is set to true. This configuration detail is often overlooked when migrating from dashboard views to direct API consumption. The performance dashboard automatically includes these adjustments in its visualizations, which explains why the data appears correct there but is missing in the raw JSON export.