Trying to automate user onboarding by parsing a CSV and creating accounts via the Genesys Cloud Python SDK. The script works fine for a handful of users, but it chokes once I hit about 20-30 records.
I’m looping through the rows, building the CreateUserRequest object, and calling users_api.post_users(). I figured the SDK would handle rate limiting or at least back off gracefully. It does not. The loop just crashes hard with a 429 status code after a few successful creates.
Here’s the core of the loop:
import pandas as pd
from genesyscloud.users.api import users_api
df = pd.read_csv('new_users.csv')
for index, row in df.iterrows():
user_req = users_api.CreateUserRequest(
name=row['name'],
email=row['email'],
# ... other fields
)
try:
api_response = users_api.post_users(body=user_req)
print(f"Created {row['name']}")
except Exception as e:
print(f"Failed: {e}")
break
I’ve tried adding a hardcoded time.sleep(2) between calls, but it feels like a band-aid. Is there a proper way to handle bulk operations with this SDK? Or do I need to implement my own exponential backoff logic? The docs don’t really cover batch endpoints for users, just the standard REST calls.