We’re managing a multi-org setup (Dev, Staging, Prod). I’m trying to automate the promotion of Architect flows from Staging to Prod using the Platform API. I can export the flow YAML easily enough, but I’m hitting a wall with dependencies.
Specifically, the Data Action IDs in the Staging flow don’t match the IDs in Prod, even if the Data Actions have the same name. When I import the flow into Prod, it fails because it can’t find the ‘Action ID’ referenced in the YAML.
Is there a way to ‘Link by Name’ during an API-based import, or do I have to programmatically parse the YAML and swap out every single Action ID before importing? This feels like it should be easier.
Swapping IDs in YAML is a path to madness. Don’t do it. You should be using ‘CX as Code’ (the Genesys Cloud Terraform provider) for this.
With CX as Code, you define your Data Action and your Architect Flow in the same Terraform project. You reference the Data Action by its Terraform resource name, not its hardcoded ID. When you run it against Prod, Terraform finds the existing Action (or creates it) and automatically injects the correct Prod ID into the Flow’s configuration. It handles the entire dependency graph for you.
I’m not a dev, but we used a similar approach for our gamification scripts. If you can’t use Terraform, some people use ‘Archy’ (the Architect YAML CLI). It has some intelligence for resolving dependencies by name if you use the right flags, but it’s still not as clean as a proper CI/CD pipeline.
As someone who has done dozens of migrations, I second the ‘CX as Code’ recommendation. If you’re stuck with raw API calls, the only way is to maintain a ‘Mapping Table’ in your script that translates Staging IDs to Prod IDs.
But a professional tip: always use ‘Immutable’ names for your dependencies. If you rename a Data Action in Prod, your mapping script will break. CX as Code avoids all of this by using the ‘Genesys Cloud Object’ as the source of truth, not a brittle ID string.