My current config is completely failing…
I am writing a Python script to export Genesys Cloud analytics data and push it to an S3 bucket using boto3. I am using the official Genesys Cloud Python SDK (genesyscloud) for authentication and API calls. The script runs fine for small datasets, but when processing a day’s worth of interaction data, the OAuth token expires mid-execution, causing a 401 Unauthorized error on subsequent API calls.
I assumed the SDK would handle token refresh automatically, but it seems to fail when the refresh_token is not explicitly managed or when the initial token expires during a long-running loop.
Here is the relevant snippet:
from genesyscloud import AuthApi, AuthApiConfiguration, AuthClient
from genesyscloud.analytics import AnalyticsApi
import boto3
import time
config = AuthApiConfiguration(
host='https://api.mypurecloud.com',
client_id='my_client_id',
client_secret='my_client_secret'
)
auth_client = AuthClient(configuration=config)
auth_client.login()
analytics_api = AnalyticsApi(auth_client.get_auth_client())
# Loop through interactions
for chunk in analytics_api.get_analytics_interactions_summary_query(...):
# Process data
s3_client.put_object(Bucket='my-bucket', Key=f'export/{timestamp}.json', Body=json.dumps(chunk))
time.sleep(2) # Rate limiting
Steps to reproduce:
- Initialize the
AuthClientwith client credentials. - Call
auth_client.login()to get the initial access token. - Start a loop fetching analytics data in chunks.
- Wait for the token to expire (default 1 hour) or force a short expiry for testing.
- The next API call to
get_analytics_interactions_summary_querythrows a401error.
I am in Mexico City (America/Mexico_City timezone), so the script runs during off-peak hours. How do I properly configure the SDK to refresh the token automatically without manual intervention? Do I need to implement a custom token refresh handler?