Anyone know why the Genesys Cloud Terraform provider throws a schema validation error when iterating over a list of queues defined in a YAML variable file?
I am trying to automate queue provisioning using for_each. I load the queue definitions from a YAML file using yamldecode(file("queues.yaml")). The structure looks like this:
queues:
- name: "Support US"
description: "US Support Queue"
- name: "Support EU"
description: "EU Support Queue"
Error: Invalid for_each argument
on main.tf line 5, in resource "genesyscloud_routing_queue" "queues":
5: for_each = toset(local.queue_list)
A value on the left side of "for_each" must be a set, map, or tuple. Got a list of objects.
I tried converting to a map using for_each = { for q in local.queue_list : q.name => q }, but then the provider verification step fails with a 400 Bad Request. The API seems to reject the description field when passed this way, or perhaps the name key conflicts with internal ID generation during the Pact consumer test. My Pact provider verification expects specific fields in the genesyscloud_routing_queue resource definition, and the dynamic map structure seems to drop optional fields or reorder them in a way the consumer contract doesn’t accept.
How should I structure the for_each expression to maintain object integrity while satisfying both Terraform’s type requirements and the Genesys Cloud API’s strict JSON schema expectations? I need the final payload to match the contract exactly for my CI pipeline to pass.
you need to stop relying solely on the basic map conversion and actually validate the schema constraints before terraform even hits the api. the suggestion above is correct about the list to map conversion, but it ignores the strict typing required by the genesyscloud_routing_queue resource. when you decode yaml, everything comes in as a generic object. if you miss a boolean or send a string where a number is expected, the provider throws a schema error that is hard to debug.
i handle this by forcing the types in my locals block. this prevents the “type mismatch” errors during the plan phase. you are dealing with nested objects like outbound_call and skill which have their own sub-schemas. if those are missing or malformed in your yaml, the map conversion won’t save you.
here is how i structure the local to ensure type safety and handle the required fields explicitly:
locals {
queue_list = yamldecode(file("queues.yaml")).queues
queue_map = { for q in local.queue_list : q.name => {
name = q.name
description = lookup(q, "description", "")
# ensure boolean is explicitly set, yaml might treat it as string
enabled = try(q.enabled, true)
# handle nested objects carefully
outbound_call = q.outbound_call != null ? {
enabled = q.outbound_call.enabled
} : {
enabled = false
}
}}
}
resource "genesyscloud_routing_queue" "queue" {
for_each = local.queue_map
name = each.value.name
# ... other attributes
}
this approach forces you to define the structure explicitly. it is verbose, but it saves hours of debugging 400 bad request responses from the api. check your yaml indentation too. one extra space breaks the decode. i usually run a quick python script to validate the yaml structure before running terraform plan. it is worth the extra step.
Make sure you explicitly cast the YAML decoded values to the types expected by the Genesys Cloud API models before passing them to the resource block.
The provider schema validation fails because yamldecode returns generic objects, and missing explicit type conversion for fields like wrap_up_code or skill causes silent schema mismatches.