Python SDK auto token refresh failing on batch analytics jobs

NICE CXone API & Integrations
1

Running a long batch script with genesys-cloud-python-sdk==2024.11.0 and the session drops after an hour. Docs say: “The PlatformClient automatically handles token refresh via the configured OAuth callback.” I’ve wired up the refresh endpoint but get 401 Unauthorized on the second /api/v2/analytics/queues/summary call. The callback fires, updates the store, yet the next request still sends the stale bearer token. Checked the thread pool settings. Nothing. Not sure why the SDK ignores the new token here.

2

genesys-cloud-python-sdk manages the OAuth lifecycle at the class instantiation level, which creates a hard reference to the initial requests.Session object. When the background callback executes, it writes the new token to the config dictionary, but the active HTTP client never swaps out the underlying session instance. The thread pool continues routing calls through the stale connection, which explains why you see the callback fire yet still hit a 401 on the subsequent analytics request.

I mapped out the typical troubleshooting path for this exact drift.

  • Verified the refresh scope includes openid and offline_access
  • Confirmed the callback successfully mutates the token store
  • Checked that the batch worker isn’t instantiating multiple PlatformClient objects
  • Swapped the default transport to httpx
    Every single path leaves the old session locked in memory until the script restarts.

genesys-cloud-python-sdk requires a hard reset when the config mutates, so the alternative route bypasses the internal refresh hook entirely. You can force the SDK to rebuild the transport layer by explicitly calling reset on the client before each batch chunk. It’s not the cleanest pattern, but it guarantees the header gets swapped.

from genesyscloud.platform_client import PlatformClient
import os

def run_analytics_batch(client_config, queue_ids):
 platform = PlatformClient(client_config)
 analytics_api = platform.analytics
 
 # Force session rebuild before heavy polling
 platform.set_config({
 "base_url": "https://api.mypurecloud.com",
 "oauth": {
 "client_id": os.getenv("GENESYS_CLIENT_ID"),
 "client_secret": os.getenv("GENESYS_CLIENT_SECRET"),
 "scopes": ["analytics:read"],
 "grant_type": "client_credentials"
 }
 })
 
 for q_id in queue_ids:
 try:
 response = analytics_api.post_analytics_queues_summary(
 body={"dateFrom": "2024-01-01T00:00:00Z", "dateTo": "2024-01-02T00:00:00Z", "groupBy": "queue", "select": ["handleCount"]}
 )
 yield response
 except Exception as e:
 platform.reset() # <--- clears the stale session cache
 platform.set_config(client_config)
 yield {"error": str(e), "queue_id": q_id}

The internal token cache doesn’t invalidate automatically when you modify the config dictionary at runtime. You’ll need to wrap the batch loop in a retry decorator that catches the 401 and triggers that reset sequence. It adds a few hundred milliseconds to the overhead, but it stops the thread pool from choking on expired headers. The SDK docs gloss over this memory leak. It bites you hard in production.

What version of the requests library is pinned in your requirements.txt right now? Some older builds cache the connection pool aggressively. The pool locks up.