automating a bulk state import process for our Genesys Cloud CX-as-Code infrastructure using the Python Platform SDK. The script iterates through a list of approximately 150 user IDs to fetch their detailed profiles via genesyscloud.user.get_user before generating the corresponding Terraform configuration files. The process functions correctly for the initial batch of records. The access token is retrieved at the start of the script using genesyscloud.auth.get_access_token.
The issue manifests when the script reaches roughly the 60th iteration. The subsequent API calls begin to fail with a 401 Unauthorized status code. The error response body indicates that the access token has expired. We have observed that the default token lifetime is 3600 seconds, which is insufficient for the total execution time of the batch process given the rate limits and network latency.
We attempted to implement a manual refresh mechanism by calling genesyscloud.auth.refresh_token within a try-except block. However, this approach introduces significant complexity and race conditions, as the SDK does not automatically handle the token expiration for ongoing batch operations. The current implementation requires us to parse the error response, trigger a refresh, and retry the failed request, which disrupts the flow of the Terraform generation logic.
Is there a recommended pattern for handling token expiration within long-running Python scripts using the Genesys Cloud SDK? We are looking for a solution that smooth refreshes the token without requiring explicit error handling for every API call. We have reviewed the SDK documentation, but the examples focus on single-request scenarios. We need a solid method to ensure the token remains valid throughout the entire batch process. Any code examples or configuration settings that enable automatic token refresh would be appreciated. We are currently using SDK version 146.0.0.