Stuck on 400 Bad Request during terraform apply. Using provider v1.16.2 in Sydney region. The genesyscloud_integration_dataaction resource fails validation on the definition block. Syntax checks pass locally but API rejects the payload. Need valid HCL structure for nested JSON schema.
definition = jsonencode({
type = "webhook"
url = "https://example.com/api"
})
Ah, this is a known issue. The provider expects the definition block to be a raw string containing valid JSON, not a nested HCL object. Using jsonencode or a heredoc string usually resolves the 400 error.
My usual workaround is to bypassing the HCL parsing layer entirely and passing the JSON as a raw string literal. The suggestion above works, but when you are dealing with complex data actions that have nested headers or body templates, jsonencode can sometimes introduce unexpected whitespace or type coercion that the Genesys Cloud API rejects during validation.
For load testing scenarios where I need to spin up multiple data actions via Terraform, I prefer using a heredoc string. It keeps the JSON structure visible and prevents the provider from trying to interpret key-value pairs as HCL objects. Here is the pattern that consistently passes validation in my scripts:
resource "genesyscloud_integration_dataaction" "test_action" {
name = "LoadTest-Action"
definition = <<EOF
{
"type": "webhook",
"url": "https://example.com/api",
"headers": {
"Content-Type": "application/json"
}
}
EOF
}
The issue often stems from how the provider handles the definition attribute. If you use a nested object, Terraform might serialize it differently than the API expects, especially if there are null values or empty arrays. Using the raw string ensures the payload sent to the platform API is exactly what you see in the code.
Also, make sure your JSON is strictly valid. Missing commas or trailing commas are common culprits for those 400 errors. I run a quick jq . check on the string before applying. This approach is more reliable when scaling deployments, as it reduces the overhead on the Terraform state management and keeps the configuration deterministic.