why does this setting keep failing when i run the daily export script via cron on the amsterdam server?
i have the oauth client configured in terraform with full analytics scope. the manual run works fine. but when the cron job triggers the python script using the genesys cloud python sdk, it throws a 401 unauthorized error on the first api call to fetch the interval data.
from genesyscloud import analytics_api
api_instance = analytics_api.AnalyticsApi(configuration)
try:
result = api_instance.get_analytics_report_data(
report_id='report_id_here',
interval='2023-10-01T00:00:00Z/2023-10-02T00:00:00Z'
)
# write to s3
s3_client.put_object(Bucket='my-analytics-bucket', Key='data.json', Body=result)
except ApiException as e:
print("Exception: %s\n" % e)
the error is 401: Unauthorized. i am using the same client id and secret in the config. is there a token refresh issue with the python sdk when running in a headless environment? or is the terraform provisioned app missing a specific scope that only shows up on initial load?
no em dashes here. just the code and the error. help.
The root cause here is the token expiring before the cron job finishes, as the SDK doesn’t auto-refresh when idle. You need to implement a refresh hook or rotate the token manually in the loop.
If I recall correctly, the cron issue isn’t just token expiry but the SDK holding onto a stale refresh token when the process sleeps. Try forcing a fresh oauth_api.get_oauth_client_credentials call before each analytics batch instead of relying on the internal cache, otherwise you will hit rate limits when the refresh fails silently.
This seems like a standard token lifecycle issue exacerbated by the SDK’s internal caching mechanism during long-running processes. The suggestion above to force a fresh token is valid, but you can simplify the logic by leveraging the SDK’s built-in refresh capability rather than manually calling the OAuth endpoint. The Python SDK handles token rotation automatically if the configuration is correct, but it requires the refresh_token grant type to be explicitly enabled in the client settings. Ensure your Configuration object has enable_auto_refresh set to true. If the cron job sleeps for extended periods, the token expires before the next request, triggering the 401. The fix is to initialize the API client once and let the SDK manage the refresh, or re-initialize the Configuration object at the start of each batch.
from genesyscloud import Configuration, AnalyticsApi
config = Configuration()
config.enable_auto_refresh = True
config.oauth_client_id = "your_client_id"
config.oauth_client_secret = "your_client_secret"
# Re-init before each batch if sleep > token expiry
api = AnalyticsApi(configuration=config)
data = api.get_analytics_details(...)
The simplest way to resolve this is to stop relying on implicit caching. The SDK holds stale tokens if the process idles. Force a new token before the analytics call.
Run this curl to verify your token is valid before the Python script starts.
curl -X POST https://api.mypurecloud.com/oauth/token -u "$CLIENT_ID:$CLIENT_SECRET" -d "grant_type=client_credentials&scope=analytics:query"
In Python, instantiate a new OAuthApi client. Call get_oauth_client_credentials. Pass the new token to the AnalyticsApi instance. Do not reuse the old client. This avoids the 401. The issue is the token expires while cron sleeps. The SDK does not auto-refresh for client_credentials grants. You must fetch a new one. This works for my Toronto server cron jobs. Keep it simple.