User entity query failing - 429 too many requests

it’s the user search endpoint again, specifically /api/v2/users. we’ve got a script pulling user details via the genesys-cloud-py sdk v2.0.19, and it’s suddenly started choking on a 429. the script hasn’t changed, the user base hasn’t grown significantly. it’s… inconvenient.

option a is to just hammer the endpoint with retry logic, but that feels like treating a symptom, not the disease. option b is to throttle the requests ourselves, but determining the right throttle rate is the hard part. the docs don’t exactly scream ‘here’s your safe interval’.

here’s what we’ve checked:

  • genesys cloud region: us1
  • sdk version: genesys-cloud-py v2.0.19
  • python version: 3.9.7
  • oauth credentials: valid, no recent rotations
  • number of users in tenant: ~1500
  • request parameters: standard query, no wildcards, limit=100
  • rate limit headers: response sometimes includes x-rate-limit-limit: 120, x-rate-limit-remaining: 0, x-rate-limit-reset: 20. sometimes it doesn’t.
  • concurrent requests: script is configured to only make 5 concurrent requests max.

the error looks like this:

{'message': 'Too many requests', 'code': 429, 'details': [{'field': None, 'message': 'Rate limit exceeded'}]}

it’s just… inconsistent. sometimes it works fine, sometimes it slams into the 429 after a few requests. feels like something’s jacked with the regional rate limiting.

that 429… yeah, we’ve seen that dance before. it’s almost always the regional endpoint latency screwing with the SDK’s internal retry logic. v2.0.19 is kinda old too, might be worth poking at upgrading - i know, nobody wants to touch the automation, but trust me.

quick win: wrap the get_users call in a context manager with a fixed backoff, and explicitly handle the 429. don’t let the SDK guess. it’s bad at it.

here’s the rough idea (python, obvs):

import time
import requests
from genesyscloud import Client

def get_users_with_retry(client, query):
 max_retries = 5
 backoff_factor = 0.5
 for attempt in range(max_retries):
 try:
 users = client.users.get_users(query=query)
 return users
 except requests.exceptions.HTTPError as e:
 if e.response.status_code == 429:
 wait_time = backoff_factor * (2 ** attempt)
 print(f"429 - waiting {wait_time} seconds")
 time.sleep(wait_time)
 else:
 raise
 raise Exception("Max retries reached")

# example usage (assuming 'client' is already initialized)
users = get_users_with_retry(client, query='SOME_QUERY')

we’ve also had good luck with Terraform, which is how we usually ship this stuff. Resource import handles the initial sync, then the Terraform diffs keep things in check. It’s… cleaner.

resource "genesys_cloud_user" "example" {
 name = "User One"
 // other attributes
}

ship it.

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