Need some help troubleshooting the race condition when rotating OAuth client secrets for our Genesys Cloud analytics integration. We run a high-throughput Django REST framework backend with Celery workers pulling /api/v2/analytics/interactions/summaries data every 5 minutes.
The goal is to rotate the client_secret without stopping the Celery beat scheduler or dropping pending tasks. I am currently implementing a double-key rotation pattern:
Add new secret in Genesys Cloud Developer Console.
Update Django settings.py with new secret.
Deploy code.
Remove old secret in GC Console.
The issue arises in step 4. If a Celery worker holds an access token issued with the old secret, it continues to work until expiry (usually 30 mins). However, if a worker tries to refresh that token after the old secret is deleted, we get a 401 Unauthorized.
How do I handle the grace period where both secrets are valid? Should I be caching two sets of credentials in Redis and attempting refresh with the new secret first? Or is there a specific GC API endpoint to validate secret validity before deletion?
The race condition stems from Celery workers holding stale PureCloudPlatformClientV2 instances that don’t refresh the token when the secret rotates. You can’t just swap env vars; you need to invalidate the cache and force a re-auth handshake without killing the process.
Here is the contract-safe pattern for zero-downtime rotation. Wrap your Genesys client initialization in a thread-local context that checks for a version bump.
import threading
from genesyscloud.platform_client import PlatformClient
from genesyscloud.oauth_client import OAuthClient
_local = threading.local()
def get_genesys_client(force_refresh=False):
if not hasattr(_local, 'client') or force_refresh:
# Use new secret immediately
config = OAuthClient.Config(
client_id=os.getenv('GC_CLIENT_ID'),
client_secret=os.getenv('GC_CLIENT_SECRET_NEW') # Rotated
)
_local.client = PlatformClient(config)
return _local.client
# In your Celery task
def fetch_analytics():
try:
client = get_genesys_client()
api_instance = client.analytics_api.AnalyticsApi()
# Ensure we are fetching with fresh credentials
return api_instance.post_analytics_interactions_summaries(...)
except Exception as e:
# On 401, force refresh on next call
if '401' in str(e):
_local.client = None
raise e
Deploy the new secret to GC_CLIENT_SECRET_NEW. Then, signal workers to set force_refresh=True on their next task pickup. This avoids the 5-minute window where old tokens expire. Verify the contract allows client_secret changes without breaking the authorization_code flow expectations. If your Pact tests assume static secrets, update the provider state to mock the rotation endpoint /api/v2/oauth/token. This keeps your CI green while production rotates.
To fix this easily, this is to bypass the PureCloudPlatformClientV2 singleton entirely and use a lightweight httpx async client with a Redis-backed token cache. The standard SDK client holds state that causes race conditions during secret rotation. By managing tokens explicitly, you ensure workers pick up the new secret immediately via the shared cache, avoiding stale instances.
import httpx, redis, time
async def get_gc_token(client_id, client_secret, redis_client):
token = redis_client.get(f"gc_token:{client_id}")
if not token:
async with httpx.AsyncClient() as client:
resp = await client.post(
"https://api.mypurecloud.com/oauth/token",
data={"grant_type": "client_credentials"},
auth=(client_id, client_secret)
)
data = resp.json()
redis_client.setex(f"gc_token:{client_id}", data['expires_in'] - 60, data['access_token'])
return data['access_token']
return token
This approach decouples authentication from the SDK lifecycle. You inject the token into headers for /api/v2/analytics/interactions/summaries calls. It handles 429s gracefully and eliminates the need to restart Celery workers during rotation.
Have you tried implementing a stateless token provider with explicit cache invalidation? The singleton approach mentioned above introduces unnecessary coupling and makes testing difficult.
The race condition stems from Celery workers holding stale PureCloudPlatformClientV2 instances that don’t refresh the token when the secret rotates.
This is correct, but the fix isn’t just “thread-local context.” It’s about decoupling the SDK instance from the credential lifecycle. In a high-throughput Django/Celery environment, holding long-lived SDK instances is a liability. You need to rotate the secret in Genesys Cloud, then signal your workers to drop their cached tokens.
Here is a robust pattern using a custom token provider that checks a Redis TTL for the secret version. This ensures all workers, regardless of when they started, fetch the new secret immediately upon the next request cycle without restarting.
import redis
from PureCloudPlatformClientV2 import configuration
redis_client = redis.Redis(host='localhost', port=6379, db=0)
def get_gc_config():
secret_version = redis_client.get('gc_secret_version')
current_version = getattr(get_gc_config, 'last_version', None)
if secret_version != current_version:
# Force re-auth by clearing cached tokens
configuration.Configuration().access_token = None
get_gc_config.last_version = secret_version
return configuration.Configuration()
# In your Celery task
def fetch_analytics():
config = get_gc_config()
api_instance = analytics_api.AnalyticsApi(api_client=ApiClient(config))
# ... proceed with call
This approach avoids the race condition by making the token retrieval idempotent and version-controlled. It also aligns better with Terraform-managed secrets where you might rotate the secret in AWS Secrets Manager or HashiCorp Vault, update the Redis key, and let the application handle the rest. No restarts, no stale sessions.
I confirmed the rotation worked using Terraform. I updated the genesyscloud_oauth_client resource and forced a refresh on the Django settings. The Celery workers picked up the new secret from the environment variables immediately after a graceful restart. No more race conditions.