Migrate genesyscloud_user Schema for CX as Code Provider v1.35.0
What You Will Build
- You will build a Python verification script that queries the Genesys Cloud User API to confirm the new attribute structure, then update your Terraform configuration to match the v1.35.0
genesyscloud_userschema. - This tutorial uses the Genesys Cloud REST API (
/api/v2/users) and the official CX as Code Terraform provider. - The code examples use Python 3.10+ with
requests, HCL for Terraform, and Bash for execution.
Prerequisites
- Genesys Cloud OAuth confidential client (client ID and client secret) with
user:readanduser:writescopes - CX as Code provider version 1.35.0 or later installed in your Terraform environment
- Python 3.10+ with
requestsandpython-dotenvinstalled (pip install requests python-dotenv) - Terraform 1.5+ configured with the
genesysprovider block - Access to a Genesys Cloud organization where you can create or modify users
Authentication Setup
The Genesys Cloud platform uses OAuth 2.0 client credentials flow for server-to-server integration. You must obtain a bearer token before calling any user endpoints. The token expires after 3600 seconds, so production code must implement refresh logic.
import os
import time
import requests
from typing import Optional
class GenesysAuth:
def __init__(self, client_id: str, client_secret: str, environment: str = "mypurecloud.com"):
self.client_id = client_id
self.client_secret = client_secret
self.auth_url = f"https://{environment}/oauth/token"
self.token: Optional[str] = None
self.token_expiry: float = 0
def get_token(self) -> str:
if self.token and time.time() < self.token_expiry - 60:
return self.token
payload = {
"grant_type": "client_credentials",
"client_id": self.client_id,
"client_secret": self.client_secret,
"scope": "user:read user:write"
}
response = requests.post(self.auth_url, data=payload)
response.raise_for_status()
data = response.json()
self.token = data["access_token"]
self.token_expiry = time.time() + data["expires_in"]
return self.token
The scope parameter explicitly requests user:read and user:write. Genesys Cloud validates scopes at the API gateway level. A missing scope returns a 403 Forbidden response with a SCOPES_REQUIRED error code. Store credentials in environment variables or a secrets manager. Never commit them to version control.
Implementation
Step 1: Inspect the Genesys Cloud User API Schema
CX as Code provider v1.35.0 aligned the genesyscloud_user Terraform resource with the underlying /api/v2/users JSON schema. The breaking change replaces flat string arrays for routing addresses with structured nested blocks. Previously, you defined routing emails and phones as simple lists. The new schema requires explicit address and type fields to support multi-tenant routing rules and address classification.
Query the API to see the exact structure your Terraform configuration must replicate.
import requests
import time
from typing import Dict, Any
def get_user_details(auth: GenesysAuth, user_id: str, environment: str = "mypurecloud.com") -> Dict[str, Any]:
url = f"https://{environment}/api/v2/users/{user_id}"
headers = {
"Authorization": f"Bearer {auth.get_token()}",
"Content-Type": "application/json"
}
max_retries = 3
for attempt in range(max_retries):
response = requests.get(url, headers=headers)
if response.status_code == 429:
retry_after = int(response.headers.get("Retry-After", 2 ** attempt))
print(f"Rate limited (429). Retrying in {retry_after} seconds...")
time.sleep(retry_after)
continue
response.raise_for_status()
return response.json()
raise RuntimeError("Max retries exceeded for 429 Too Many Requests")
if __name__ == "__main__":
auth = GenesysAuth(os.getenv("GENESYS_CLIENT_ID"), os.getenv("GENESYS_CLIENT_SECRET"))
user_data = get_user_details(auth, "12345678-1234-1234-1234-123456789012")
print("Routing Email Addresses:")
for email in user_data.get("routingEmailAddresses", []):
print(f" Address: {email['address']}, Type: {email['type']}")
print("Routing Phone Numbers:")
for phone in user_data.get("routingPhoneNumbers", []):
print(f" Address: {phone['address']}, Type: {phone['type']}")
The response body from /api/v2/users/{id} returns a JSON object where routingEmailAddresses and routingPhoneNumbers are arrays of objects. Each object contains id, address, type, and routingType. The type field accepts work, home, or other. The provider v1.35.0 requires you to map these explicitly in Terraform. This change prevents ambiguous routing assignments and enables the platform to validate address formats before provisioning.
Step 2: Update the Terraform Resource Definition
You must refactor your existing genesyscloud_user blocks to match the new schema. The old syntax used flat lists. The new syntax uses nested blocks. You will also need to handle the address block replacement for physical and mailing addresses.
Pre-1.35.0 Syntax (Deprecated)
resource "genesyscloud_user" "agent" {
name = "Jane Doe"
email = "[email protected]"
division_id = "default"
routing_email_addresses = ["[email protected]"]
routing_phone_numbers = ["+15551234567"]
addresses {
street1 = "123 Main St"
city = "Springfield"
state = "IL"
postal_code = "62704"
country = "US"
}
}
Post-1.35.0 Syntax (Required)
resource "genesyscloud_user" "agent" {
name = "Jane Doe"
email = "[email protected]"
division_id = "default"
routing_email_addresses {
address = "[email protected]"
type = "work"
}
routing_phone_numbers {
address = "+15551234567"
type = "work"
}
addresses {
street1 = "123 Main St"
city = "Springfield"
state = "IL"
postal_code = "62704"
country = "US"
type = "work"
}
}
The addresses block now requires a type attribute. This aligns with the Address model in the Genesys Cloud SDK (PureCloudPlatformClientV2.models.Address). The provider validates the type against the API schema during the plan phase. If you omit type, Terraform returns a configuration validation error before contacting the API.
You must also update your Terraform state if you are migrating an existing deployment. Run terraform state mv to preserve resource identity while the schema updates.
terraform state mv "genesyscloud_user.agent" "genesyscloud_user.agent"
This command appears redundant but forces Terraform to re-read the remote state and apply the new schema attributes to the existing resource without triggering a destroy and recreate.
Step 3: Validate and Apply Changes
After updating the configuration, run terraform plan to verify the schema alignment. The provider will diff your HCL against the Genesys Cloud API response. If the API returns additional fields that are not managed by Terraform, you will see ~ update markers. Use lifecycle { ignore_changes = [...] } if you intentionally want the platform to manage certain fields outside of Infrastructure as Code.
resource "genesyscloud_user" "agent" {
name = "Jane Doe"
email = "[email protected]"
division_id = "default"
routing_email_addresses {
address = "[email protected]"
type = "work"
}
routing_phone_numbers {
address = "+15551234567"
type = "work"
}
addresses {
street1 = "123 Main St"
city = "Springfield"
state = "IL"
postal_code = "62704"
country = "US"
type = "work"
}
lifecycle {
ignore_changes = [
routing_email_addresses[0].id,
routing_phone_numbers[0].id,
addresses[0].id
]
}
}
The ignore_changes block prevents Terraform from overwriting server-generated id fields for nested blocks. Genesys Cloud assigns these identifiers on first creation. If Terraform manages them, subsequent plans will show perpetual diffs. Explicitly ignoring them stabilizes the state file.
Run terraform apply to push the updated schema to the platform. The provider translates the HCL blocks into the exact JSON payload expected by POST /api/v2/users and PUT /api/v2/users/{id}. The API validates the type enum values and returns a 201 Created or 200 OK response.
Complete Working Example
The following script combines authentication, API verification, and Terraform execution into a single workflow. It validates that the Genesys Cloud API returns the expected schema before attempting the Terraform apply.
import os
import sys
import time
import requests
import subprocess
from typing import Dict, Any, Optional
class GenesysAuth:
def __init__(self, client_id: str, client_secret: str, environment: str = "mypurecloud.com"):
self.client_id = client_id
self.client_secret = client_secret
self.auth_url = f"https://{environment}/oauth/token"
self.token: Optional[str] = None
self.token_expiry: float = 0
def get_token(self) -> str:
if self.token and time.time() < self.token_expiry - 60:
return self.token
payload = {
"grant_type": "client_credentials",
"client_id": self.client_id,
"client_secret": self.client_secret,
"scope": "user:read user:write"
}
response = requests.post(self.auth_url, data=payload)
response.raise_for_status()
data = response.json()
self.token = data["access_token"]
self.token_expiry = time.time() + data["expires_in"]
return self.token
def validate_user_schema(auth: GenesysAuth, user_id: str, environment: str = "mypurecloud.com") -> bool:
url = f"https://{environment}/api/v2/users/{user_id}"
headers = {
"Authorization": f"Bearer {auth.get_token()}",
"Content-Type": "application/json"
}
max_retries = 3
for attempt in range(max_retries):
response = requests.get(url, headers=headers)
if response.status_code == 429:
retry_after = int(response.headers.get("Retry-After", 2 ** attempt))
print(f"Rate limited (429). Retrying in {retry_after} seconds...")
time.sleep(retry_after)
continue
if response.status_code != 200:
print(f"API Error: {response.status_code} - {response.text}")
return False
data = response.json()
emails = data.get("routingEmailAddresses", [])
phones = data.get("routingPhoneNumbers", [])
if not emails or not phones:
print("Warning: User has no routing addresses configured.")
return True
email_valid = all("address" in e and "type" in e for e in emails)
phone_valid = all("address" in p and "type" in p for p in phones)
if email_valid and phone_valid:
print("Schema validation passed. All routing addresses contain required fields.")
return True
else:
print("Schema validation failed. Missing 'address' or 'type' in routing arrays.")
return False
raise RuntimeError("Max retries exceeded for 429 Too Many Requests")
def run_terraform():
print("Running terraform plan...")
plan_result = subprocess.run(["terraform", "plan", "-out", "tfplan"], capture_output=True, text=True)
print(plan_result.stdout)
if plan_result.returncode != 0:
print("Terraform plan failed.")
print(plan_result.stderr)
sys.exit(1)
print("Running terraform apply...")
apply_result = subprocess.run(["terraform", "apply", "tfplan"], capture_output=True, text=True)
print(apply_result.stdout)
if apply_result.returncode != 0:
print("Terraform apply failed.")
print(apply_result.stderr)
sys.exit(1)
print("Deployment successful.")
if __name__ == "__main__":
client_id = os.getenv("GENESYS_CLIENT_ID")
client_secret = os.getenv("GENESYS_CLIENT_SECRET")
user_id = os.getenv("GENESYS_USER_ID")
if not all([client_id, client_secret, user_id]):
print("Error: Missing required environment variables.")
sys.exit(1)
auth = GenesysAuth(client_id, client_secret)
if validate_user_schema(auth, user_id):
run_terraform()
else:
print("Aborting deployment due to schema validation failure.")
sys.exit(1)
Save this script as migrate_user_schema.py. Set the environment variables before execution. The script authenticates, validates the API response structure, and triggers Terraform only when the schema matches the v1.35.0 requirements.
Common Errors & Debugging
Error: 401 Unauthorized
- Cause: The OAuth token is expired, malformed, or the client credentials are incorrect.
- Fix: Verify that
GENESYS_CLIENT_IDandGENESYS_CLIENT_SECRETmatch a confidential client in Genesys Cloud. Ensure the token refresh logic runs before every API call. Check theexpires_inclaim in the token response. - Code Fix: Add explicit token validation before requests.
if not auth.token:
raise ValueError("Authentication failed. Check client credentials.")
Error: 429 Too Many Requests
- Cause: The Genesys Cloud API gateway enforces rate limits per client ID and endpoint. User queries are limited to 100 requests per minute for most environments.
- Fix: Implement exponential backoff. Parse the
Retry-Afterheader from the response. Never hardcode sleep intervals. - Code Fix: The retry loop in
get_user_detailshandles this automatically. Ensure you do not parallelize user fetches without a queue.
Error: Terraform Plan Schema Conflict
- Cause: Your HCL still uses the pre-1.35.0 flat array syntax, or the state file contains legacy attributes that the new provider version does not recognize.
- Fix: Update all
routing_email_addresses,routing_phone_numbers, andaddressesblocks to include thetypeattribute. Runterraform state rmand re-import if the state becomes corrupted. - Code Fix:
terraform state rm genesyscloud_user.agent
terraform import genesyscloud_user.agent 12345678-1234-1234-1234-123456789012
Error: 400 Bad Request - Invalid Address Type
- Cause: The
typefield contains a value outside the allowed enum (work,home,other). - Fix: Validate the
typevalue in your HCL before applying. The Genesys Cloud API rejects unknown enums at the request validation layer. - Code Fix: Add a validation block in Terraform.
resource "genesyscloud_user" "agent" {
routing_email_addresses {
address = "[email protected]"
type = "work"
validation {
condition = self.type in ["work", "home", "other"]
error_message = "Invalid address type. Must be work, home, or other."
}
}
}