How to Import Existing Genesys Cloud Resources into Terraform State

What You Will Build

• You will write a script to generate terraform import commands for existing Genesys Cloud resources using the Genesys Cloud API.
• You will use the Genesys Cloud Python SDK (genesyscloud) to query resource IDs and metadata.
• You will cover Python for the automation script and HCL for the Terraform configuration.

Prerequisites

• Genesys Cloud Account: An account with admin or user:queue:admin permissions depending on the resources you import.
• Terraform: Version 1.0+ installed and initialized with the miveles/genesyscloud provider.
• Python: Version 3.8+ installed.
• SDK: genesyscloud Python SDK installed via pip.
• Dependencies: pip install genesyscloud requests

Authentication Setup

The Genesys Cloud Terraform provider requires authentication via environment variables or a credentials file. For the Python SDK, you will use the same client ID and secret to fetch resource IDs.

Set the following environment variables in your terminal:

export GENESYS_CLOUD_CLIENT_ID="your_client_id"
export GENESYS_CLOUD_CLIENT_SECRET="your_client_secret"
export GENESYS_CLOUD_REGION="mypurecloud.com"

If you are using a custom region (e.g., usw2.pure.cloud), update the GENESYS_CLOUD_REGION variable accordingly. The Python SDK will automatically detect this from the environment if you initialize the client without explicit region parameters, but it is safer to be explicit in production scripts.

Implementation

Step 1: Initialize the Genesys Cloud SDK Client

First, you must establish a connection to the Genesys Cloud API. The genesyscloud SDK provides a high-level wrapper around the REST API. You will create a client instance that handles OAuth token acquisition and refresh automatically.

import os
import sys
from genesyscloud import PlatformClient
from genesyscloud import routing_api
from genesyscloud import organization_api
from genesyscloud import user_api

def get_genesys_client():
    """
    Initializes and returns a Genesys Cloud PlatformClient.
    Raises an exception if credentials are missing.
    """
    client_id = os.getenv("GENESYS_CLOUD_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLOUD_CLIENT_SECRET")
    region = os.getenv("GENESYS_CLOUD_REGION", "mypurecloud.com")

    if not client_id or not client_secret:
        raise ValueError("GENESYS_CLOUD_CLIENT_ID and GENESYS_CLOUD_CLIENT_SECRET must be set.")

    # Initialize the platform client
    client = PlatformClient(client_id, client_secret, region)
    
    # Verify connection by fetching a simple resource
    try:
        # This is a lightweight check to ensure the client is authenticated
        org_api = organization_api.OrganizationApi(client)
        org = org_api.get_organization()
        if org.id is None:
            raise ConnectionError("Failed to retrieve Organization ID.")
    except Exception as e:
        raise ConnectionError(f"Failed to authenticate with Genesys Cloud: {e}")

    return client

Why this matters: The PlatformClient handles the OAuth 2.0 Client Credentials flow. It caches the access token and refreshes it when it expires. You do not need to manage token lifecycles manually. The get_organization() call serves as a heartbeat check. If this fails, your credentials are invalid, or your network cannot reach the Genesys Cloud API.

Step 2: Query Existing Resources

You cannot import a resource into Terraform state if you do not know its ID. The Genesys Cloud API does not have a single “list all resources” endpoint. You must query specific APIs.

For this tutorial, you will import Queues. Queues are complex resources with nested objects (outbound settings, skill requirements, etc.). Importing them manually is error-prone because you must match the Terraform configuration structure exactly.

The following function lists all queues in your organization. It uses the routing_api module.

from genesyscloud.models import PaginationResponse

def list_queues(client):
    """
    Retrieves all queues in the organization.
    Returns a list of dictionaries containing 'id' and 'name'.
    """
    routing = routing_api.RoutingApi(client)
    queues = []
    
    try:
        # The list_routing_queues endpoint supports pagination.
        # By default, it returns 25 items. We use a loop to fetch all.
        response = routing.list_routing_queues(
            domain_uuid="default",
            page_size=100,
            sort_order="asc"
        )
        
        if response.entities:
            for queue in response.entities:
                queues.append({
                    "id": queue.id,
                    "name": queue.name,
                    "description": queue.description or ""
                })
        
        # Handle pagination if there are more than page_size items
        while response.next_page:
            response = routing.list_routing_queues(
                domain_uuid="default",
                page_size=100,
                sort_order="asc",
                continuation_token=response.next_page
            )
            if response.entities:
                for queue in response.entities:
                    queues.append({
                        "id": queue.id,
                        "name": queue.name,
                        "description": queue.description or ""
                    })
                    
    except Exception as e:
        print(f"Error fetching queues: {e}", file=sys.stderr)
        sys.exit(1)

    return queues

Key Detail: The continuation_token parameter is critical. Genesys Cloud uses cursor-based pagination for most list endpoints. If you ignore next_page, you will only import the first 100 resources. The domain_uuid is required for many v2 API calls and is usually "default" for most orgs, but multi-domain orgs may have different values.

Step 3: Generate Terraform Import Commands

Terraform imports resources by their unique ID. The command syntax is:

terraform import <address> <id>

For example, to import a queue named “Support Queue” with ID a1b2c3d4-e5f6-7890-abcd-ef1234567890, the command is:

terraform import genesyscloud_routing_queue.support_queue a1b2c3d4-e5f6-7890-abcd-ef1234567890

You must define the resource address in your Terraform configuration file (.tf) before running the import command. The address format is:

genesyscloud_routing_queue.<resource_name>

The following script generates these commands for all queues retrieved in Step 2. It also generates the corresponding HCL stubs so you can paste them into your .tf file.

def generate_import_commands(queues):
    """
    Generates terraform import commands and HCL stubs for the given queues.
    """
    import_commands = []
    hcl_stubs = []

    for queue in queues:
        queue_id = queue["id"]
        # Sanitize the queue name for use in Terraform resource names
        # Replace spaces with underscores and remove special characters
        resource_name = queue["name"].lower().replace(" ", "_")
        resource_name = "".join(c for c in resource_name if c.isalnum() or c == '_')
        
        # Ensure unique names by appending ID suffix if necessary
        # In a real script, you might want to deduplicate names
        final_name = f"{resource_name}_{queue_id[:8]}"

        import_cmd = f"terraform import genesyscloud_routing_queue.{final_name} {queue_id}"
        import_commands.append(import_cmd)

        # Generate an empty HCL stub
        # Note: You must fill in the attributes for terraform plan to succeed
        hcl_stub = f'''resource "genesyscloud_routing_queue" "{final_name}" {{
  name        = "{queue['name']}"
  description = "{queue['description']}"
  
  # Add other required attributes here based on the existing resource
  # e.g., member_flow, empty_flow, wrap_up_timeout, etc.
}}'''
        hcl_stubs.append(hcl_stub)

    return import_commands, hcl_stubs

def main():
    client = get_genesys_client()
    queues = list_queues(client)
    
    if not queues:
        print("No queues found.")
        return

    print(f"Found {len(queues)} queues.")
    
    import_cmds, hcl_stubs = generate_import_commands(queues)
    
    print("\n--- Terraform Import Commands ---")
    for cmd in import_cmds:
        print(cmd)
    
    print("\n--- HCL Stubs to Add to .tf File ---")
    for stub in hcl_stubs:
        print(stub)
        print("-----")

if __name__ == "__main__":
    main()

Why this matters: Terraform does not support “reverse engineering” configuration from state. You must define the resource block in HCL before importing. The import command only populates the state file with the current attributes. If your HCL configuration is empty or mismatched, terraform plan will show a diff, and subsequent terraform apply commands will attempt to modify the resource to match the HCL. This can be dangerous if you are not careful.

Step 4: Handling Nested Resources and Dependencies

Queues often reference other resources, such as Users (as members) or Skills. When you import a queue, Terraform will store the IDs of these referenced resources in the state. However, if those referenced resources are also managed by Terraform, you must ensure the addresses match.

For example, if a queue has a member_flow that references a user ID, and you also import that user, you must link them in HCL:

resource "genesyscloud_routing_queue" "support_queue" {
  name        = "Support"
  member_flow = genesyscloud_routing_user_queue.support_user.id
}

resource "genesyscloud_routing_user_queue" "support_user" {
  user_id  = "user-123"
  queue_id = genesyscloud_routing_queue.support_queue.id
}

If you import the queue first, then the user queue, you may encounter circular dependency errors during planning. To avoid this, import resources in dependency order:

1. Users (genesyscloud_routing_user)
2. Skills (genesyscloud_routing_skill)
3. Queues (genesyscloud_routing_queue)
4. User-Queue Associations (genesyscloud_routing_user_queue)

Complete Working Example

Save the following script as import_genesys_queues.py.

import os
import sys
from genesyscloud import PlatformClient
from genesyscloud import routing_api
from genesyscloud import organization_api

def get_genesys_client():
    client_id = os.getenv("GENESYS_CLOUD_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLOUD_CLIENT_SECRET")
    region = os.getenv("GENESYS_CLOUD_REGION", "mypurecloud.com")

    if not client_id or not client_secret:
        raise ValueError("GENESYS_CLOUD_CLIENT_ID and GENESYS_CLOUD_CLIENT_SECRET must be set.")

    client = PlatformClient(client_id, client_secret, region)
    
    try:
        org_api = organization_api.OrganizationApi(client)
        org = org_api.get_organization()
        if org.id is None:
            raise ConnectionError("Failed to retrieve Organization ID.")
    except Exception as e:
        raise ConnectionError(f"Failed to authenticate with Genesys Cloud: {e}")

    return client

def list_queues(client):
    routing = routing_api.RoutingApi(client)
    queues = []
    
    try:
        response = routing.list_routing_queues(
            domain_uuid="default",
            page_size=100,
            sort_order="asc"
        )
        
        if response.entities:
            for queue in response.entities:
                queues.append({
                    "id": queue.id,
                    "name": queue.name,
                    "description": queue.description or ""
                })
        
        while response.next_page:
            response = routing.list_routing_queues(
                domain_uuid="default",
                page_size=100,
                sort_order="asc",
                continuation_token=response.next_page
            )
            if response.entities:
                for queue in response.entities:
                    queues.append({
                        "id": queue.id,
                        "name": queue.name,
                        "description": queue.description or ""
                    })
                    
    except Exception as e:
        print(f"Error fetching queues: {e}", file=sys.stderr)
        sys.exit(1)

    return queues

def generate_import_commands(queues):
    import_commands = []
    hcl_stubs = []

    for queue in queues:
        queue_id = queue["id"]
        resource_name = queue["name"].lower().replace(" ", "_")
        resource_name = "".join(c for c in resource_name if c.isalnum() or c == '_')
        final_name = f"{resource_name}_{queue_id[:8]}"

        import_cmd = f"terraform import genesyscloud_routing_queue.{final_name} {queue_id}"
        import_commands.append(import_cmd)

        hcl_stub = f'''resource "genesyscloud_routing_queue" "{final_name}" {{
  name        = "{queue['name']}"
  description = "{queue['description']}"
}}'''
        hcl_stubs.append(hcl_stub)

    return import_commands, hcl_stubs

def main():
    try:
        client = get_genesys_client()
    except Exception as e:
        print(f"Initialization failed: {e}")
        sys.exit(1)

    queues = list_queues(client)
    
    if not queues:
        print("No queues found.")
        return

    print(f"Found {len(queues)} queues.")
    
    import_cmds, hcl_stubs = generate_import_commands(queues)
    
    print("\n--- Terraform Import Commands ---")
    for cmd in import_cmds:
        print(cmd)
    
    print("\n--- HCL Stubs to Add to .tf File ---")
    for stub in hcl_stubs:
        print(stub)
        print("-----")

if __name__ == "__main__":
    main()

Run the script:

python import_genesys_queues.py

Copy the HCL stubs into your main.tf file. Then run the import commands:

terraform init
terraform import genesyscloud_routing_queue.support_a1b2c3d4 a1b2c3d4-e5f6-7890-abcd-ef1234567890

After importing, run terraform plan. You will see a diff showing attributes that are present in the state but missing in your HCL. Add these attributes to your HCL file to eliminate the diff.

Common Errors & Debugging

Error: 403 Forbidden

Cause: The OAuth client lacks the necessary permissions to read queues.

Fix: Ensure the client has the queue:queue:read scope. In the Genesys Cloud Admin UI, go to Security > Client Credentials, edit your client, and add the required scopes.

Error: 404 Not Found

Cause: The resource ID provided to terraform import does not exist, or the domain_uuid is incorrect.

Fix: Verify the ID in the Genesys Cloud Admin UI. Check the URL when viewing the queue: /admin/routing/queues/[ID]. Ensure you are using the correct region in your SDK client.

Error: Terraform Plan Shows Diff After Import

Cause: The HCL configuration does not match the imported state.

Fix: This is expected. Terraform import only populates state. You must update your HCL to match the state. Use terraform plan to identify missing attributes. For example, if the plan shows:

  + member_flow = "user-123"

Add member_flow = "user-123" to your HCL resource block.

Error: Circular Dependency

Cause: Resources reference each other (e.g., Queue A references User B, and User B references Queue A).

Fix: Break the cycle by using data sources for one side of the relationship. For example, if a user queue association references a queue, use data.genesyscloud_routing_queue to look up the queue ID instead of referencing the resource directly.

Official References

• Genesys Cloud Terraform Provider Documentation
• Genesys Cloud Python SDK Documentation
• Terraform Import Command Documentation
• Genesys Cloud API Reference: Routing Queues