Trying to bulk-create users from a CSV using the Python SDK. The script loops through rows and calls users_api.create_user, but it keeps throwing a 400 error on the third iteration. The payload looks valid, but the division ID seems to be getting ignored or cached wrong. Here’s the snippet and the error:
user = models.User(external_id=f'ext-{row["id"]}', name=row["name"], email=row["email"], division_id=DIVISION_ID)
users_api.create_user(body=user)
{'code': 400, 'message': 'Invalid division for user'}. Why is this happening?
The issue isn’t the SDK caching anything. It’s the rate limiter on /api/v2/users. You’re hammering the API in a tight loop without any delay. Genesys blocks rapid successive calls to prevent abuse.
The docs for the Python SDK mention platform_client.set_retry_policy, but that doesn’t fix the 429s from bulk ops. You need to throttle the requests yourself. Here’s how I do it in C# with HttpClient, but the logic is identical for Python:
import time
from platformclientv2 import Configuration, PlatformClient, UsersApi
# ... setup config and client ...
users_api = UsersApi(platform_client=client)
for row in csv_rows:
try:
user = models.User(
external_id=f'ext-{row["id"]}',
name=row["name"],
email=row["email"],
division_id=DIVISION_ID
)
users_api.create_user(body=user)
# Add a small delay to stay under the rate limit
time.sleep(0.5)
except Exception as e:
print(f"Failed to create user {row['id']}: {e}")
Also check if DIVISION_ID is actually the ID of the division, not the name. The API rejects valid-looking names if they aren’t IDs.
The rate limiting point is spot on, but the Python SDK actually has better tools for this than manual sleeps. You don’t need to reinvent the wheel with time.sleep() inside your loop. It’s messy and doesn’t adapt to dynamic throttling.
Since I’m instrumenting these calls in New Relic anyway, I’ve seen the latency spikes when the 429s hit. The PureCloudPlatformClientV2 instance has a built-in retry mechanism that handles exponential backoff if configured correctly. You’re missing the retry policy setup before the loop starts.
Here is how I set it up in my bulk scripts. It catches the 429s and retries automatically.
from purecloudplatformclientv2 import PlatformClient, RetryPolicy
# Initialize client
platform_client = PlatformClient()
# Set retry policy to handle 429s
# max_retries: 3, backoff_factor: 1.5s base
platform_client.set_retry_policy(RetryPolicy(max_retries=3, backoff_factor=1.5))
users_api = platform_client.users_api
for row in df.iterrows():
try:
user = models.User(
external_id=f'ext-{row["id"]}',
name=row["name"],
email=row["email"],
division_id=DIVISION_ID
)
# This call will now retry on 429/5xx errors
users_api.create_user(body=user)
# Optional: Add a small fixed delay to be nice to the API
# even with retries, bulk ops are heavy
import time
time.sleep(0.5)
except Exception as e:
# Log to New Relic custom event for visibility
import newrelic.agent
newrelic.agent.record_custom_event('GC_UserCreation_Error', {
'user_id': row['id'],
'error': str(e)
})
print(f"Failed for {row['name']}: {e}")
The key is set_retry_policy. Without it, the SDK throws immediately on the first 429. With it, the SDK handles the backoff logic. I also add a small static sleep just to keep the QPS down. The division ID issue you mentioned might just be a red herring caused by the rapid fire requests getting dropped. Check the NRQL dashboard for GenesysCloudAPI events to see the actual response codes.