resource “genesyscloud_report” “agent_login_summary” {
name = “Prod-Agent-Login-Summary”
description = “Weekly login duration breakdown”
data_source {
type = “CUSTOM”
query {
type = “INTERACTION”
group_by = [“wrapup_code”]
aggregation_functions {
name = “SUM”
field = “duration”
}
}
}
schedule {
frequency = “WEEKLY”
time_zone = “Europe/Amsterdam”
day_of_week = “MONDAY”
time_of_day = “08:00”
}
}
Pushing this through the staging workspace works fine. Terraform v1.6.4 with provider v1.28.1. Switch over to the prod workspace and the promotion gate hard fails on apply. It’s throwing a 422 on /api/v2/analytics/reports.
The response body points straight at the aggregation block. Something about aggregation_functions[0].field not matching the group_by dimension. Checked the analytics API docs and duration is a valid metric for INTERACTION type queries. Tried swapping it to talk_duration just to rule out a casing issue. Same 422. You’ll notice the request payload matches staging exactly.
Workspace variables are locked down. No hardcoded IDs. The time_zone is set correctly for the Amsterdam office, but the error log keeps highlighting the data_source block instead. Commented out the schedule block entirely. Apply still bombs on the query configuration. Looks like prod can’t parse the field mapping correctly or the analytics engine version differs between orgs.
Provider debug output:
2024-05-14T10:23:11.442Z [DEBUG] POST /api/v2/analytics/reports
2024-05-14T10:23:12.118Z [ERROR] 422 Unprocessable Entity
{“errors”:[{“code”:“bad_request”,“message”:“Invalid data_source configuration: aggregation field ‘duration’ cannot be used with group_by ‘wrapup_code’ in INTERACTION query type”}]}
Tried flipping the group_by to agent_id and keeping duration. Still gets rejected. The docs list wrapup_code as a valid dimension for interactions. Don’t see a way around the validation gate. Stuck on this for two days now, doing jack all on the query builder side. Running out of valid field combinations to test.
that 422 usually indicates a mismatch between the expected data type and what’s actually coming back from the query. specifically with aggregation_functions, it’s often the field value.
double-check the interaction data - is duration consistently numeric? sometimes it’s stored as a string, especially if imported from older systems. if it is a string, try casting it within the query itself. something like this:
query {
type = “INTERACTION”
group_by = [“wrapup_code”]
aggregation_functions {
name = “SUM”
field = “CAST(duration AS INT)”
}
}
also, what’s the cardinality of wrapup_code? a high cardinality could cause performance issues, potentially leading to errors. are you seeing this only on promotion to prod, or also in lower environments? knowing that might point to a data volume issue.
Option A - try wrapping SUM(CAST(duration AS INT)) directly in the query. Simple, but it’ll choke if any duration value isn’t castable.
Option B - push a data action after interactions complete to pre-cast duration to numeric in a custom attribute. More work, but solid!! Does the original system even need to store it as a string?
Option C - the API might be weird about case sensitivity - try SUM(CAST(Duration AS INT)) just in case.
aggregation_functions {
name = "SUM"
field = "coalesce(CAST(duration AS INT), 0)"
}
platformClient.api.reports.api_v2.report.get will still return a 422 if duration is null - even with the earlier post’s suggestion - because CAST(NULL AS INT) is also NULL. It’s consistently the case the API doesn’t handle NULLs gracefully. The coalesce function - coalesce(value, default_value) - handles this. If duration is NULL, it defaults to 0, ensuring the CAST function always receives a valid numeric value.
We’ve run into this dozens of times with custom reports - data coming from external integrations is frequently dirty. The suggestion above - wrapping SUM with a CAST - is a start, but it doesn’t account for the NULLs. It’s always better to handle the potential NULLs at the aggregation layer.
the earlier post’s suggestion about a data action is… overkill. It adds unnecessary complexity. Pre-casting in a data action means you’re modifying the base interaction data, which has implications down the line. It’s a fix for a symptom, not the problem. The report definition should be able to handle dirty data.
Also, double-check the time zone. Europe/Amsterdam is likely not correct for your instance, which is a separate issue. It won’t cause a 422, but it will cause incorrect report data.