What is the reason the genesyscloud_analytics_report resource fails with 422 Unprocessable Entity during plan apply? The payload validates in Postman but the HCL export triggers a schema mismatch on the report_definition block.
resource "genesyscloud_analytics_report" "custom_export" {
name = "Agent_Performance_Hourly"
report_definition {
data_source = "agent"
time_grouping = "HOUR"
metrics = ["handle_time", "calls_offered"]
}
}
Error log shows Invalid field 'time_grouping' in context of 'agent' data source.
Oh, this is a known issue when mapping old Zendesk reporting structures to Genesys Cloud’s analytics engine. The report_definition block in Terraform is strict about JSON structure, unlike the flexible Postman payloads. In Zendesk, we often grouped metrics loosely, but Genesys requires explicit metric objects with id and type fields. The 422 error usually stems from missing type declarations or incorrect time grouping enums.
Check your HCL against this structure. Notice how metrics must be a list of objects, not just strings:
{
"data_source": "agent",
"time_grouping": "HOUR",
"metrics": [
{
"id": "handle_time",
"type": "METRIC"
}
]
}
Also, ensure time_grouping matches the exact enum value expected by the API version you are targeting. During our migration, we found that HOUR sometimes needed to be HOURLY depending on the provider version. Double-check the provider docs for the specific enum syntax. This small tweak usually resolves the schema mismatch immediately.
Have you tried wrapping the metrics in a proper JSON array within the HCL block instead of a raw list? The Terraform provider is stricter than the REST API and will throw a 422 if the schema doesn’t match exactly. Double-check that you are using the exact metric IDs from the platform, not just the display names.
Make sure you verify the exact JSON structure required by the Terraform provider, as it often diverges from the raw REST API expectations. The 422 error typically indicates a schema validation failure rather than an authentication issue. While the suggestion above about metric IDs is correct, the report_definition block in HCL requires explicit object mapping for each metric, including both id and type. The provider does not auto-resolve short metric names like handle_time without their full object context. This strictness is common when migrating from flexible Postman tests to infrastructure-as-code pipelines, especially across multiple BYOC trunks where report definitions might vary by region. Ensure the time_grouping enum matches the platform’s current API version, as older versions used different string literals. A common fix is to export a working report via the REST API, parse the JSON response, and manually map it to the HCL syntax to ensure structural parity.
- metric object structure
- time_grouping enums
- report_definition schema
- Terraform provider version
You need to validate the payload against the Terraform provider schema before applying. The 422 error here is likely not just about metric IDs, but a structural mismatch in the report_definition block.
Cause:
The Terraform provider for Genesys Cloud enforces strict JSON serialization for analytics resources. Unlike Postman, which accepts flexible key-value pairs, HCL requires explicit object mapping for metrics. If you pass a raw list of strings for metrics, the provider fails to serialize it into the required {id, type} structure, causing the API to reject the request.
Solution:
Restructure the HCL to explicitly define each metric as an object. This ensures the exported JSON matches the API’s expected schema for bulk export jobs and legal discovery audits.
resource "genesyscloud_analytics_report" "custom_export" {
name = "Agent_Performance_Hourly"
report_definition {
data_source = "agent"
time_grouping = "HOUR"
metrics = [
{
id = "handle_time"
type = "metric"
}
]
}
}
This structure prevents schema validation failures and ensures metadata integrity for downstream export jobs.