422 on /api/v2/analytics/wfm/adherence with shiftScheduleId filter

getting 422 Unprocessable Entity when hitting the adherence endpoint. the payload looks valid but the API rejects the interval grouping.

curl -X POST https://myorg.mygenesyscloud.com/api/v2/analytics/wfm/adherence \
-H 'Authorization: Bearer <token>' \
-H 'Content-Type: application/json' \
-d '{
 "start": "2023-10-01T08:00:00-04:00",
 "end": "2023-10-01T17:00:00-04:00",
 "interval": "PT15M",
 "group_by": ["agent"],
 "filter": {
 "shiftScheduleId": "abc-123-def-456"
 }
}'

response is {"code":"invalid_request","message":"Filter criteria conflict with grouping parameters"}.

tried removing shiftScheduleId and it works fine. data comes back for all agents. problem is we’ve got a need for adherence against the specific shift schedule for the WFM dashboard sync. the shift is defined in WEM, status is active. checked the shift schedule API, returns correct JSON.

interval is standard 15 minutes. group_by agent is standard.

looking at the docs, shiftScheduleId should be valid with agent grouping. maybe it’s the timezone offset? using US/Eastern explicitly in the start/end time. tried UTC too. same 422.

did a test with group_by set to none. same 422 error.

tried using agentId instead of shiftScheduleId. works. so the API hates the shift filter when combined with agent grouping? or is there a hidden restriction on shift schedules that span midnight? this one starts at 08:00 EST so no midnight issue.

verified the token has wem:workforce-management:reporting:read and wem:workforce-management:shift-schedules:read. permissions aren’t the problem.

also tried adding include: ["shiftSchedule"] in the params. no change.

weirdly, if i expand the date range to 48 hours, it starts returning data but the adherence values are zeroed out for that shift. like the system can’t find the shift in that window even though the shift ID is hardcoded in the filter.

forgot to mention, didn’t include type in the payload. docs say it defaults to agent. tried explicitly setting type: "agent" and type: "shift". both throw 422.

checked the network tab in WEM. the UI call looks slightly different. they pass groupBy: ["agent","shiftSchedule"]. tried that. still 422.

feels like a backend validation bug on the filter object. the error message gives zero context on what conflicts with what. API is doing jack all to help.

is there a known bug with adherence reports and shift filters in the current patch? nothing in the developer docs about this specific combo failing.

that endpoint doesn’t actually accept shiftScheduleId in the filter object, it wants userId or teamId. try swapping that field out and you’ll see the 422 go away.

watch out for that shiftScheduleId filter. swapping it to userId fixes the 422, sure, but you’ll probably hit a wall on data accuracy next.

i’m rebuilding Five9 scripts in GC Data Actions and ran into this exact trap. the adherence endpoint is strict about what it accepts, but more importantly, shiftScheduleId isn’t a standard filter dimension for the raw adherence query. if you need adherence against a specific shift, you have to query by userId (or mId) and then map the results to the schedule in your client code. trying to force the schedule ID into the API filter is a recipe for broken reports.

here’s how i handle it in python. i fetch the adherence by user, then cross-reference the schedule if needed.

from genesyscloud import platform_client
from pprint import pprint

# 1. fetch adherence by userId, not shiftScheduleId
body = {
 "start": "2023-10-01T08:00:00-04:00",
 "end": "2023-10-01T17:00:00-04:00",
 "interval": "PT15M",
 "group_by": ["agent"],
 "filter": {
 "userId": "valid-user-id-here" # <--- use this
 }
}

try:
 response = platform_client.WfmManagementApi.post_wfm_adherence(body=body)
 pprint(response.body)
except Exception as e:
 print(f"failed: {e}")

the gotcha is that if you’re aggregating across multiple users on the same shift, you can’t do it in one API call. you’ll have to loop through the users or query by mId and filter client-side. the API won’t let you group by schedule directly in the adherence query. it’s annoying, but it’s how GC structures the data. i ended up writing a small script to pull user IDs associated with a shift schedule first, then batch the adherence requests. saves you from hitting rate limits later.

yeah, the 422 is just the API rejecting the invalid filter key. the docs are a bit sparse on what’s actually allowed in that filter object for wfm adherence. shiftScheduleId isn’t a supported dimension there, which is why it blows up immediately.

if you’re trying to cache these responses, don’t bother trying to normalize the bad request. just swap to userId or mId like mentioned above. here’s a quick python snippet using the SDK that actually works and lets you cache the token properly:

from purecloudplatformclientv2 import AnalyticsApi, AnalyticQuery

body = AnalyticQuery(
 start="2023-10-01T08:00:00-04:00",
 end="2023-10-01T17:00:00-04:00",
 interval="PT15M",
 group_by=["agent"],
 filter={"userId": "user-id-here"} # valid filter
)

analytics = AnalyticsApi()
data = analytics.post_analytics_wfm_adherence(body=body)

make sure your redis key includes the interval and group_by params. if you cache a 15m interval result and then query for 30m, you’ll serve stale data. the analytics engine doesn’t aggregate on read, so the cache key needs to be exact. i usually set a 300s TTL for this stuff since adherence data shifts fast.

problem: the 422 is just the API rejecting the invalid filter key.

code:

{
 "filter": {
 "userId": "abc-123"
 }
}

error: shiftScheduleId isn’t a supported dimension there.

question: are you trying to cache these responses? don’t bother normalizing the bad request. just swap to userId or mId.