I am writing a Python script to bulk-create users from a CSV file using the Genesys Cloud Platform SDK. The goal is to automate onboarding for a new shift. I have the CSV parsed and the user objects constructed, but I am hitting two issues. First, the CreateUser method seems to serialize the user_profile incorrectly when I pass a custom JSON string for the user_profile field. The API expects a specific structure, and the SDK is wrapping it in extra quotes, causing a 400 Bad Request. Second, I am getting 429 Too Many Requests errors after about 10 calls. I know there is a rate limit, but I am not sure how to implement exponential backoff cleanly with the SDK’s async client. Here is a snippet of how I am calling the API:
from genesyscloud.platform_client import PlatformClient
from genesyscloud.platform_client.models import CreateUserRequest
client = PlatformClient.init_from_credentials_file('config.json')
users_api = client.users()
for row in csv_data:
user_req = CreateUserRequest(
name=row['name'],
email=row['email'],
user_profile={'department': row['dept']}, # This part is failing
roles=[row['role_id']]
)
try:
response = users_api.post_users(body=user_req)
except Exception as e:
print(f"Failed: {e}")
The error message says invalid type for user_profile. I tried passing a dict, but the SDK validator complains. Also, how do I handle the 429s without blocking the main thread? I tried a simple time.sleep(1) but it’s too slow for 500 users. Is there a built-in retry policy in the Python SDK I can configure? I don’t want to write my own retry logic if it’s already there. Any help on the correct payload structure and rate limit handling would be appreciated.