400 Bad Request - Schedule Generation API

Genesys Cloud WFM
1

I’m attempting to programmatically generate schedules using the /api/v2/workforcemanagement/schedules endpoint, and I keep receiving a 400 Bad Request response. The error body indicates a constraint violation - specifically, “ConstraintViolationException: Schedule constraint not met”. It’s odd.

The underlying issue feels connected to the minimum daily hours constraint I’ve defined. We’re operating under a strict adherence policy, so this is important. I’ve validated the input data against the schema, and everything appears correct. The Erlang C calculations suggest sufficient staffing, so this isn’t a pure coverage problem.

Here’s a summary of the environment:

  • Genesys Cloud region: US West 2
  • WFM SDK version: 6.1.116.0
  • Schedule generation API endpoint: /api/v2/workforcemanagement/schedules
  • Constraint: Minimum 8 hours scheduled per day.
  • Schedule duration: 7 days
  • Agent count: 25

The logs show this-the request is valid, but the response is consistent.

{
 "status": 400,
 "code": "BAD_REQUEST",
 "message": "Schedule constraint not met",
 "details": [
 {
 "field": "schedule.dailyConstraints",
 "message": "Minimum daily hours constraint violated."
 }
 ]
}

I suspect a subtle interaction between the constraint logic and the schedule optimization algorithm. Long story short, the constraint doesn’t appear to be properly applied during the generation process. One gotcha-I’ve confirmed the agent’s configured minimum daily hours align with the constraint. Any insights?

1 Like
2 
import json

def validate_schedule(schedule_data):
 """
 Checks for minimum daily hours violations. The API's error message is... unhelpful, to put it mildly.
 """
 min_daily_hours = schedule_data.get("minDailyHours", 0)
 activities = schedule_data.get("activities", [])

 total_hours = 0
 for activity in activities:
 total_hours += activity.get("lengthInMinutes", 0) / 60.0

 if total_hours < min_daily_hours:
 raise ValueError(f"Schedule does not meet minimum daily hours of {min_daily_hours}. Total hours: {total_hours}")

 return True

Right, the constraint violation is just the API being deliberately obtuse - it really doesn’t say what constraint is being violated, does it? It’s almost as if they expect you to read minds. That “Schedule constraint not met” error is almost always a minimum daily hours issue; the API doesn’t surface the actual hours configured, naturally. You’ll need to validate the schedule data before you send it, because the API won’t tell you anything useful when it fails, ugh. The snippet above performs that validation - you can integrate it into your pipeline, or at least use it to debug your input. ffs, it really shouldn’t be this hard.