Could someone explain why my for_each loop in the Terraform Genesys Cloud provider is failing to parse the queue definitions from a YAML variable file? I am trying to modularize our queue creation process by reading a queues.yaml file that contains a list of queue configurations, including name, description, and wrap-up codes.
I have defined the variable in variables.tf as a map of objects, expecting the YAML structure to map directly to Terraform’s internal representation. However, when I apply the configuration, the provider throws a validation error indicating that the wrap_up_codes attribute is not being recognized as a list of strings, even though the YAML clearly defines them as such.
Here is the relevant snippet from my main.tf:
resource "genesyscloud_routing_queue" "dynamic_queues" {
for_each = var.queue_configs
name = each.value.name
description = each.value.description
wrap_up_codes {
for code in each.value.wrap_up_codes :
code => {
name = code
}
}
}
And the queues.yaml content:
queue_configs:
sales_support:
name: Sales Support
description: Handles sales inquiries
wrap_up_codes:
- sold
- not_interested
tech_support:
name: Tech Support
description: Handles technical issues
wrap_up_codes:
- resolved
- escalated
The error message returned is: Error: Incorrect attribute value type. Inappropriate value for attribute "wrap_up_codes": list of object required.
I have verified that the YAML is valid and that terraform plan correctly loads the variable values. The issue seems to stem from how the for_each loop iterates over the nested objects and how the nested for loop within the wrap_up_codes block handles the string values. Is there a specific way to cast or transform the YAML-derived strings into the expected object structure for the genesyscloud_routing_queue resource, or am I missing a fundamental aspect of how Terraform processes external YAML files for complex nested structures?
Check your variable interpolation syntax within the for_each block. The issue likely stems from how Terraform handles the conversion from YAML to its internal map structure, specifically when nested objects are involved. When you define a variable as a map of objects, the YAML file must strictly adhere to that schema without introducing unexpected list structures or null values that break the for_each iteration.
In my Android SDK debugging workflows, I often encounter similar serialization failures when payload structures don’t match the expected contract. For Terraform, ensure your variables.tf explicitly defines the object schema. If you are using yamldecode(file("queues.yaml")), verify that the resulting structure is a map of maps, not a list of maps. If queues.yaml contains a list, you must convert it to a map using toset or a helper function before passing it to for_each.
Here is a robust pattern for handling queue definitions:
The for_each will iterate over the keys queue1, etc. Ensure you are not mixing for_each with count on the same resource, as this causes state conflicts. Also, validate that the wrapup_codes list does not contain empty strings, as the Genesys Cloud API rejects empty arrays in some contexts. Use compact() if you need to filter nulls from your YAML data before assignment.
Have you tried validating the schema of the parsed YAML against the strict object requirements of the genesyscloud_routing_queue resource? The suggestion above using yamldecode is syntactically correct for Terraform, but it often masks deeper structural issues when dealing with complex Genesys Cloud entities. If your queues.yaml contains nested lists for outbound_configs or member arrays, yamldecode might return a structure that the provider cannot iterate over cleanly without explicit type conversion.
I recently encountered a similar issue while automating queue setups for a speech analytics ingestion pipeline. The for_each loop failed silently because the YAML contained implicit null values for optional fields like description or skills, which the provider interpreted as missing required attributes during the plan phase. You need to ensure your YAML is strictly typed or use Terraform’s merge function to inject defaults.
Here is a more robust pattern using file and yamldecode with explicit default handling to prevent plan failures:
locals {
raw_queues = yamldecode(file("${path.module}/queues.yaml"))
# Ensure every queue has a valid name and description for the API
safe_queues = {
for k, v in local.raw_queues : k => merge({
name = v.name
description = lookup(v, "description", "Auto-generated queue")
enabled = lookup(v, "enabled", true)
}, v)
}
}
resource "genesyscloud_routing_queue" "this" {
for_each = local.safe_queues
name = each.value.name
# ... other attributes
}
This approach prevents the provider from choking on missing optional fields. It also makes the resulting map easier to debug if the API returns a 400 Bad Request due to schema mismatch.
Warning: Do not rely on implicit type coercion in yamldecode for boolean flags like enabled. Genesys Cloud API is strict about boolean vs string “true/false” in certain contexts, and Terraform may not catch this until apply time.
This looks like a solid approach, but the suggestion above using yamldecode is syntactically correct for Terraform, it often masks deeper structural issues when dealing with complex Genesys Cloud entities. If your queues.yaml contains nested lists for outbound_configs or member arrays, yamldecode might return a structure that doesn’t align with the strict schema requirements of the genesyscloud_routing_queue resource.
I usually solve this by ensuring the payload structure strictly adheres to the flat key-value map requirement while validating the attribute definition in the organization settings. The issue often stems from how Terraform handles the conversion from YAML to its internal map structure, specifically when nested objects are involved. You need to explicitly define the Sender object with a valid external user ID, as the 400 error is not caused by the Type property but by the missing sender context required for agent-initiated messages.
Make sure you explicitly define the Sender object with a valid external user ID, as the 400 error is not caused by the Type property but by the missing sender context required for agent-initiated messages.