Hi everyone,
I am running a script to update custom attributes for a batch of 500 users using the Genesys Cloud Python SDK. The goal is to sync some external data into the platform. I’ve set up a simple loop that calls put_user for each user ID, but after about 50-60 successful updates, I start hitting 429 Too Many Requests errors. The script crashes because the SDK throws an exception.
Here is the basic structure of my loop:
from purecloudplatformclientv2 import PureCloudPlatformClientV2, UsersApi
client = PureCloudPlatformClientV2('my_client_id', 'my_client_secret', 'us-east-1')
users_api = UsersApi(client)
user_ids = [...] # List of 500 user IDs
for user_id in user_ids:
try:
# Fetch user, modify attribute, update user
user = users_api.get_user(user_id)
user.custom_attributes['sync_status'] = 'active'
users_api.put_user(user_id, user)
print(f'Updated {user_id}')
except Exception as e:
print(f'Error updating {user_id}: {e}')
raise e # Currently crashing the script
I see the Retry-After header in the 429 response, but I’m not sure how to properly capture that value using the SDK to implement an exponential backoff strategy. I tried adding a simple time.sleep(1) in the except block, but that doesn’t help much with the rate limits and just slows down the whole process unnecessarily.
Is there a recommended way to handle rate limiting with the Python SDK? Should I be parsing the response headers manually, or is there a built-in retry mechanism I’m missing? I want to make sure I don’t get my client ID throttled for too long.
Thanks for the help.