How to import existing Genesys Cloud resources into Terraform state

What You Will Build

• You will write a script to extract the unique identifiers (IDs) of existing Genesys Cloud resources and generate the terraform import commands required to bring them under Infrastructure as Code (IaC) management.
• This tutorial uses the Genesys Cloud Platform Client SDK (Python) to query resource details and standard shell commands for state manipulation.
• The programming language covered is Python 3.9+ for ID extraction and Bash for Terraform execution.

Prerequisites

• OAuth Client Type: Service Account with Client Credentials grant.
• Required Scopes:
  • view:users (for importing Users)
  • view:groups (for importing Groups)
  • view:wrapupcodes (for importing Wrap-up Codes)
  • view:schedules (for importing Schedules)
  • view:integrations (if importing Integrations)
  • Note: Importing requires read access to view the resource ID, but the subsequent terraform import command requires the user running Terraform to have permissions to modify the resource.
• SDK Version: genesys-cloud-sdk-python v1.0.0 or later.
• Runtime Requirements: Python 3.9+, Terraform 1.5+.
• External Dependencies:
  • genesys-cloud-sdk-python
  • requests (for raw HTTP fallback if needed, though SDK is preferred)

Authentication Setup

Terraform handles authentication via the genesyscloud provider block. However, to generate the import commands, you need a separate script to fetch the IDs from the live environment. You must configure your environment variables for the Python script to authenticate against the Genesys Cloud API.

Create a file named .env in your project root:

GENESYS_CLOUD_REGION=us-east-1
GENESYS_CLOUD_CLIENT_ID=your_client_id_here
GENESYS_CLOUD_CLIENT_SECRET=your_client_secret_here

Install the required Python package:

pip install genesys-cloud-sdk-python python-dotenv

Initialize the SDK client in your script. This client will be used to fetch the resource IDs that Terraform needs.

import os
from dotenv import load_dotenv
from purecloudplatformclientv2 import Configuration, ApiClient, ApiException
from purecloudplatformclientv2.rest import ApiException as RestApiException

def init_genesys_client():
    """
    Initializes the Genesys Cloud SDK client using environment variables.
    """
    load_dotenv()
    
    region = os.getenv("GENESYS_CLOUD_REGION", "us-east-1")
    client_id = os.getenv("GENESYS_CLOUD_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLOUD_CLIENT_SECRET")

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

    configuration = Configuration(
        host=f"https://{region}.mypurecloud.com",
        client_id=client_id,
        client_secret=client_secret
    )
    
    # Create an API client instance
    api_client = ApiClient(configuration)
    return api_client

Implementation

Step 1: Extracting User IDs for Import

The most common resource to import is a User. Terraform requires the unique string ID of the user to map the state file entry to the live resource. You cannot import by email address directly in the terraform import command; you must provide the ID.

Create a function that searches for a user by email and returns their ID.

from purecloudplatformclientv2 import UsersApi

def get_user_id_by_email(api_client: ApiClient, email: str) -> str:
    """
    Retrieves the Genesys Cloud User ID for a given email address.
    """
    users_api = UsersApi(api_client)
    
    try:
        # Search for the user
        # query parameter is 'email={email}'
        response = users_api.post_users_search(
            body={
                "query": f"email={email}"
            }
        )
        
        if not response.entities or len(response.entities) == 0:
            raise ValueError(f"No user found with email: {email}")
            
        # Return the ID of the first match
        return response.entities[0].id
        
    except RestApiException as e:
        print(f"Error fetching user ID: {e}")
        raise

Why this approach?
Using the search endpoint (/api/v2/users/search) is more reliable than iterating through all users (/api/v2/users) for large organizations. It is faster and avoids pagination logic for simple lookups.

Step 2: Extracting Group IDs

Groups are often imported to manage membership. The process is similar to users but uses the Groups API.

from purecloudplatformclientv2 import GroupsApi

def get_group_id_by_name(api_client: ApiClient, name: str) -> str:
    """
    Retrieves the Genesys Cloud Group ID for a given group name.
    """
    groups_api = GroupsApi(api_client)
    
    try:
        # List all groups with a filter for the name
        # Note: The API does not support direct name search in the list endpoint efficiently,
        # so we may need to iterate if the organization is small, or use the search endpoint if available.
        # For Groups, the standard list endpoint supports filtering by query.
        
        response = groups_api.get_groups(
            query=f"name={name}"
        )
        
        if not response.entities or len(response.entities) == 0:
            raise ValueError(f"No group found with name: {name}")
            
        return response.entities[0].id
        
    except RestApiException as e:
        print(f"Error fetching group ID: {e}")
        raise

Step 3: Generating Terraform Import Commands

Once you have the IDs, you need to generate the specific terraform import command. The syntax depends on the resource type.

For a User, the command is:

terraform import genesyscloud_user.my_user <user_id>

For a Group, the command is:

terraform import genesyscloud_group.my_group <group_id>

Create a helper function that outputs these commands for a list of resources.

def generate_import_commands(resource_type: str, resource_name: str, resource_id: str) -> str:
    """
    Generates the terraform import command string.
    """
    # Map high-level resource types to Terraform resource names
    terraform_resource_map = {
        "user": "genesyscloud_user",
        "group": "genesyscloud_group",
        "wrapupcode": "genesyscloud_routing_wrapupcode",
        "schedule": "genesyscloud_schedulegroups_schedule"
    }
    
    tf_resource_name = terraform_resource_map.get(resource_type.lower())
    if not tf_resource_name:
        raise ValueError(f"Unsupported resource type: {resource_type}")
        
    # Construct the logical address in Terraform state
    # Format: <resource_type>.<resource_name>
    logical_address = f"{tf_resource_name}.{resource_name}"
    
    return f"terraform import {logical_address} {resource_id}"

Step 4: Handling Wrap-up Codes (Complex Case)

Wrap-up codes are nested under Routing. Importing them requires knowing the Division ID if you are using multi-division, but typically, the ID alone suffices if the provider is configured correctly. However, the API path is /api/v2/routing/wrapupcodes/{id}.

from purecloudplatformclientv2 import RoutingApi

def get_wrapupcode_id_by_name(api_client: ApiClient, name: str) -> str:
    """
    Retrieves the Wrap-up Code ID by name.
    """
    routing_api = RoutingApi(api_client)
    
    try:
        # List wrap-up codes. Note: Pagination might be needed for large orgs.
        response = routing_api.get_routing_wrapupcodes(
            expand="all",
            page_size=100
        )
        
        for code in response.entities:
            if code.name == name:
                return code.id
        
        raise ValueError(f"No wrap-up code found with name: {name}")
        
    except RestApiException as e:
        print(f"Error fetching wrap-up code ID: {e}")
        raise

Complete Working Example

This script combines the authentication, ID lookup, and command generation into a single executable tool. Save this as import_helper.py.

import os
import sys
from dotenv import load_dotenv
from purecloudplatformclientv2 import Configuration, ApiClient, UsersApi, GroupsApi, RoutingApi
from purecloudplatformclientv2.rest import ApiException as RestApiException

def init_genesys_client():
    load_dotenv()
    region = os.getenv("GENESYS_CLOUD_REGION", "us-east-1")
    client_id = os.getenv("GENESYS_CLOUD_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLOUD_CLIENT_SECRET")

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

    configuration = Configuration(
        host=f"https://{region}.mypurecloud.com",
        client_id=client_id,
        client_secret=client_secret
    )
    return ApiClient(configuration)

def get_user_id(api_client, email):
    users_api = UsersApi(api_client)
    try:
        response = users_api.post_users_search(body={"query": f"email={email}"})
        if not response.entities:
            raise ValueError(f"User not found: {email}")
        return response.entities[0].id
    except RestApiException as e:
        print(f"API Error: {e}")
        sys.exit(1)

def get_group_id(api_client, name):
    groups_api = GroupsApi(api_client)
    try:
        response = groups_api.get_groups(query=f"name={name}")
        if not response.entities:
            raise ValueError(f"Group not found: {name}")
        return response.entities[0].id
    except RestApiException as e:
        print(f"API Error: {e}")
        sys.exit(1)

def main():
    if len(sys.argv) < 4:
        print("Usage: python import_helper.py <type> <name> <identifier>")
        print("Types: user, group")
        sys.exit(1)

    resource_type = sys.argv[1]
    resource_name = sys.argv[2] # This will be the Terraform resource local name (e.g., 'support_team')
    identifier = sys.argv[3]    # This is the lookup value (e.g., email or group name)

    api_client = init_genesys_client()
    resource_id = None

    try:
        if resource_type == "user":
            resource_id = get_user_id(api_client, identifier)
        elif resource_type == "group":
            resource_id = get_group_id(api_client, identifier)
        else:
            print(f"Unsupported type: {resource_type}")
            sys.exit(1)

        # Generate the import command
        tf_resource_prefix = "genesyscloud_user" if resource_type == "user" else "genesyscloud_group"
        logical_address = f"{tf_resource_prefix}.{resource_name}"
        
        print(f"terraform import {logical_address} {resource_id}")

    except Exception as e:
        print(f"Error: {e}")
        sys.exit(1)

if __name__ == "__main__":
    main()

How to use this script:

1. Define your Terraform resource in main.tf but do not run terraform apply.

resource "genesyscloud_user" "john_doe" {
  name  = "John Doe"
  email = "john.doe@example.com"
  # Other attributes...
}

2. Run the Python script to get the ID and the import command.

python import_helper.py user john_doe john.doe@example.com

3. Output will be:

terraform import genesyscloud_user.john_doe 12345678-abcd-1234-abcd-123456789012

4. Execute the output command in your terminal.

terraform import genesyscloud_user.john_doe 12345678-abcd-1234-abcd-123456789012

5. Run terraform plan to verify the state matches the configuration. If there are differences, update the HCL code to match the live resource, then run terraform apply.

Common Errors & Debugging

Error: 401 Unauthorized

What causes it:
The GENESYS_CLOUD_CLIENT_ID or GENESYS_CLOUD_CLIENT_SECRET is incorrect, expired, or the Service Account has been disabled.

How to fix it:

1. Verify the credentials in your .env file.
2. Check the Genesys Cloud Admin Console > Platform > Integrations > OAuth. Ensure the client is active.
3. Ensure the Service Account has the required scopes (e.g., view:users).

Code showing the fix:
The init_genesys_client function raises a ValueError if credentials are missing. If the API returns 401, the SDK throws RestApiException with status 401.

except RestApiException as e:
    if e.status == 401:
        print("Authentication failed. Check your Client ID and Secret.")
    elif e.status == 403:
        print("Forbidden. Check if the Service Account has the required scopes.")

Error: 403 Forbidden

What causes it:
The Service Account does not have the required OAuth scope for the resource you are trying to import.

How to fix it:

1. Identify the required scope (e.g., view:users for users).
2. Go to Genesys Cloud Admin Console > Platform > Integrations > OAuth.
3. Edit the client and add the missing scope.
4. Wait up to 5 minutes for the scope change to propagate.

Error: Resource Already Imported

What causes it:
You ran terraform import on a resource that is already in the state file.

How to fix it:

1. Run terraform state list to see if the resource is already present.
2. If it is, remove it from the state using terraform state rm genesyscloud_user.john_doe.
3. Re-run the import command.

Error: Import Failed: Conflicts with Existing Resource

What causes it:
The resource ID you provided maps to a resource that Terraform thinks is already managed by a different resource block in your configuration.

How to fix it:

1. Check your .tf files for duplicate resource definitions.
2. Ensure the logical_address in the import command matches the resource "genesyscloud_user" "name" block exactly.

Official References

• Genesys Cloud Terraform Provider Documentation
• Genesys Cloud API v2 Users Search Endpoint
• Genesys Cloud API v2 Groups Endpoint
• Terraform Import Documentation