I have a Python script that pulls WEM adherence data for our Pacific region. It runs nightly to check schedule adherence against actual wrap-up times. The job processes about 5,000 agents and takes roughly 25 minutes to finish.
The issue is that the OAuth access token expires after 3600 seconds. Halfway through the loop, the script hits a 401 Unauthorized error on the getAnalyticsWfmAgentScheduleAdherence call.
I’m using the Genesys Cloud Python SDK. I tried adding a simple check before each API call to see if the token is expired, but the SDK handles the refresh internally. Or does it?
Here is the basic loop:
from PureCloudPlatformClientV2 import ApiClient, WfmApi
client = ApiClient(client_id='...', client_secret='...')
wfm_api = WfmApi(client)
agents = get_agent_list() # returns 5k agents
for agent in agents:
try:
# This call fails with 401 after ~1 hour
response = wfm_api.get_analytics_wfm_agent_schedule_adherence(
agent_id=agent['id'],
date_range='2023-10-01/2023-10-07'
)
process_data(response)
except Exception as e:
print(f"Failed for {agent['id']}: {e}")
break
The error message is just {"errors":["Access denied"]}.
I can’t just restart the job because I lose progress. I need to know how to force a token refresh or if I should be handling the 401 exception and retrying the specific request. Is there a method on the ApiClient object to manually trigger a refresh?
Also, the script is running in a serverless environment. The token is generated at the start of the execution. If the execution time exceeds the token life, the whole thing fails.
Any pointers on the retry logic? I don’t want to rewrite the whole auth flow if the SDK can handle it.