refactoring our provisioning pipeline to handle large-scale user onboarding via the Genesys Cloud Python Platform SDK. The requirement is to read a CSV file containing user details and create the corresponding resources in the target environment. The CSV structure includes columns for FirstName, LastName, Email, RoutingEmail, and Department.
The current implementation iterates through the CSV rows and calls the post_users method sequentially. While the authentication logic using the PureCloudPlatformClientV2 works correctly, the execution hits a rate limit almost immediately. The SDK throws a ApiException with status code 429 and the message “Too Many Requests” after processing approximately fifteen users.
The code structure looks like this:
from platform_sdk.rest import ApiException
from platform_sdk.models import UserCreateRequest, RoutingEmail, EmailAddress
import csv
client = PureCloudPlatformClientV2()
client.login_client_credentials(client_id, client_secret)
users_api = client.UsersApi()
with open('users.csv', 'r') as f:
reader = csv.DictReader(f)
for row in reader:
email_addr = EmailAddress(email=row['Email'])
routing_email = RoutingEmail(email=email_addr)
user_req = UserCreateRequest(
first_name=row['FirstName'],
last_name=row['LastName'],
email=row['Email'],
routing_email=routing_email,
department=row['Department']
)
try:
users_api.post_users(body=user_req)
print(f"Created user: {row['Email']}")
except ApiException as e:
print(f"Failed: {e.status} {e.reason}")
break
Adding a static time.sleep() between calls is not a viable solution for production volume, as it significantly increases the total runtime. The documentation mentions rate limiting but does not provide a clear pattern for handling bulk operations within the Python SDK. Is there a recommended approach to implement exponential backoff or batching using the SDK’s built-in mechanisms? We want to avoid implementing a custom retry loop if the SDK already handles this gracefully. The current setup fails consistently without any successful creation beyond the initial batch.