Terraform for_each queue creation failing on YAML variable parsing

General Discussion
1

Configuration is broken for some reason when attempting to provision multiple Genesys Cloud queues via the CX as Code Terraform provider. I am trying to leverage for_each to iterate over a set of queue definitions imported from a YAML file using yamldecode(file("queues.yaml")). The YAML structure maps queue names to their respective descriptions and wrap-up codes, but the Terraform plan fails during the evaluation phase with a type mismatch error regarding the map keys.

The error indicates that the keys derived from the YAML map are not being treated as strings compatible with the genesyscloud_routing_queue resource identifier requirements. I have tried casting the keys using tostring() within the for_each expression, but the provider still rejects the configuration. The relevant snippet is for_each = { for k, v in yamldecode(file("queues.yaml")) : k => v }, which should theoretically produce a map of strings to objects.

Is there a specific syntax adjustment required for the CX as Code provider when using dynamic for_each loops with external YAML sources? The standard Terraform documentation suggests this pattern is valid, yet the Genesys-specific provider seems to enforce stricter type constraints on the resource attributes during the expansion phase. Any insights on how to properly serialize the YAML keys for consumption by the genesyscloud_routing_queue resource would be appreciated.

2

It’s worth reviewing at how terraform handles complex keys in for_each when the source is a map. the error usually stems from trying to use a map object as a key directly, which terraform doesn’t support. you need to iterate over the keys of the map instead.

here is the corrected pattern:

locals {
 queues = yamldecode(file("queues.yaml"))
}

resource "genesyscloud_routing_queue" "queues" {
 for_each = local.queues

 name = each.key
 description = each.value.description
 
 wrapup_code = each.value.wrapup_code
}

ensure your yaml file is a simple key-value map, not a list of objects. if you have a list, use for to convert it to a map first:

locals {
 queue_map = { for q in yamldecode(file("queues.yaml")): q.name => q }
}

this avoids the type mismatch. i validate this in my ci pipelines before applying to prod to catch schema drift early.

3

make sure you normalize those keys before passing them to for_each. the suggestion above is correct but incomplete for our use case. when yamldecode returns a map of objects, terraform complains if you try to use the whole object as a key. you need to iterate over mapkeys(local.queues).

also, watch out for special characters in queue names. i hit this last week with a data action transform where the jsonpath failed on unescaped quotes. use tostring() to ensure clean keys.

locals {
queue_keys = mapkeys(local.queues)
}

resource “genesyscloud_routing_queue” “dynamic_queues” {
for_each = toset(local.queue_keys)

name = “${each.key} Support”
description = local.queues[each.key].description

wrap_up_code {
name = local.queues[each.key].wrap_code
}
}

this avoids the type mismatch and keeps the config idempotent. i usually wrap this in a try/catch block in architect to handle malformed yaml gracefully, but in terraform you just need the toset() wrapper on the keys.

4

You need to treat the YAML output as a strict map of objects, not a flat list. The previous suggestions about mapkeys are correct, but they miss the critical step of handling the object values correctly inside the resource block. If you just iterate over keys, you lose the context of the descriptions and wrap-up codes.

Here is the robust pattern I use for bulk queue provisioning in my Open Messaging integrations. It ensures type safety and prevents the “inconsistent types” error that plagues complex YAML structures.

  1. Define the local variable to decode the YAML.
  2. Use for_each on the map itself.
  3. Access properties via value.description and value.wrap_up_codes.
locals {
 queue_definitions = yamldecode(file("${path.module}/queues.yaml"))
}

resource "genesyscloud_routing_queue" "dynamic_queues" {
 for_each = local.queue_definitions

 name = each.key
 description = each.value.description
 
 # Ensure wrap-up codes are passed as a list of strings
 wrapup_code = [for code in each.value.wrap_up_codes : {
 name = code.name
 description = code.description
 }]
 
 # Critical: Set a unique flow or empty list if not specified
 flow_ids = lookup(each.value, "flow_ids", [])
}

Warning: If your YAML contains duplicate queue names, Terraform will fail because for_each requires unique keys. Use jsonencode to debug the parsed structure if you suspect key collisions. This approach aligns with how we handle inbound webhook payloads for structured content-strict schema validation prevents runtime failures.

See CX Code Best Practices for YAML Parsing for details on handling nested objects. Stop guessing the schema. Validate the local variable first.

5

Check your terraform provider version and yaml structure. the suggestion above about mapkeys is correct, but often fails if the yaml map values are not strictly objects. in my react desktop builds, i see similar type mismatches when data structures are inconsistent.

  1. verify your queues.yaml uses a strict map-of-objects format.
  2. use mapkeys(local.queues) in for_each.
  3. access values via each.value.description inside the resource block.

here is the working pattern:

locals {
 queues = yamldecode(file("queues.yaml"))
}

resource "genesyscloud_routing_queue" "queues" {
 for_each = mapkeys(local.queues)
 name = each.value.name
 description = each.value.description
}

this ensures type safety. if you still get errors, check for special characters in queue names. i hit this last week with a data action transform where the jsonpath failed on unescaped quotes. use tostring() to ensure clean keys.