Deactivating SCIM User Accounts via Genesys Cloud REST API with Python

Deactivating SCIM User Accounts via Genesys Cloud REST API with Python

What You Will Build

  • A Python automation module that deactivates SCIM-provisioned users in Genesys Cloud, terminates active sessions, validates role dependencies, and emits structured audit logs.
  • The implementation uses the Genesys Cloud REST API for SCIM provisioning, user management, and OAuth2 token lifecycle control.
  • All code is written in Python 3.9+ using the requests library, concurrent.futures for concurrency control, and pydantic for payload validation.

Prerequisites

  • OAuth Client Credentials flow (Client ID and Client Secret)
  • Required scopes: scim:write, user:read, user:write, oauth2:token:revoke
  • Genesys Cloud API v2
  • Python 3.9 or higher
  • External dependencies: requests==2.31.0, pydantic==2.5.0
  • A configured webhook endpoint for external security tool synchronization

Authentication Setup

Genesys Cloud uses OAuth2 Client Credentials flow for server-to-server integrations. The following function handles token acquisition, caching, and automatic refresh when the access token expires.

import time
import requests
from typing import Optional

class GenesysAuth:
    def __init__(self, client_id: str, client_secret: str, domain: str):
        self.client_id = client_id
        self.client_secret = client_secret
        self.base_url = f"https://{domain}.mypurecloud.com"
        self.token_url = f"{self.base_url}/oauth2/token"
        self.access_token: Optional[str] = None
        self.refresh_token: Optional[str] = None
        self.token_expiry: float = 0.0

    def _fetch_token(self) -> dict:
        payload = {
            "grant_type": "client_credentials",
            "client_id": self.client_id,
            "client_secret": self.client_secret,
            "scope": "scim:write user:read user:write oauth2:token:revoke"
        }
        response = requests.post(self.token_url, data=payload)
        response.raise_for_status()
        return response.json()

    def get_access_token(self) -> str:
        if self.access_token and time.time() < self.token_expiry - 60:
            return self.access_token
        
        token_data = self._fetch_token()
        self.access_token = token_data["access_token"]
        self.refresh_token = token_data.get("refresh_token")
        self.token_expiry = time.time() + token_data["expires_in"]
        return self.access_token

    def build_headers(self) -> dict:
        return {
            "Authorization": f"Bearer {self.get_access_token()}",
            "Content-Type": "application/json",
            "Accept": "application/json"
        }

Implementation

Step 1: Validation Pipeline and Rate Limit Guardrails

Before deactivating an account, the system must verify role dependencies, check for active sessions, and enforce concurrency limits. Genesys Cloud enforces strict rate limits (typically 300 requests per minute per client). The following class implements schema validation, role/session checks, and exponential backoff for 429 responses.

import json
import time
import math
from typing import Dict, List, Any
from pydantic import BaseModel, ValidationError

class ScimPatchOperation(BaseModel):
    op: str
    path: str
    value: bool

class ScimPatchPayload(BaseModel):
    schemas: List[str]
    Operations: List[ScimPatchOperation]

class UserDeactivator:
    def __init__(self, auth: GenesysAuth, max_workers: int = 5, webhook_url: str = ""):
        self.auth = auth
        self.max_workers = max_workers
        self.webhook_url = webhook_url
        self.audit_log: List[Dict[str, Any]] = []
        
    def _retry_on_429(self, func, *args, max_retries: int = 5, **kwargs):
        for attempt in range(max_retries):
            try:
                return func(*args, **kwargs)
            except requests.exceptions.HTTPError as e:
                if e.response.status_code == 429:
                    retry_after = int(e.response.headers.get("Retry-After", 2 ** attempt))
                    time.sleep(retry_after)
                else:
                    raise

    def validate_user_state(self, user_id: str) -> Dict[str, Any]:
        headers = self.auth.build_headers()
        
        # Role dependency check
        roles_resp = self._retry_on_429(requests.get, f"{self.auth.base_url}/api/v2/users/{user_id}/roles", headers=headers)
        roles_resp.raise_for_status()
        roles = roles_resp.json().get("entities", [])
        
        # Active session verification
        sessions_resp = self._retry_on_429(requests.get, f"{self.auth.base_url}/api/v2/users/{user_id}/sessions", headers=headers)
        sessions_resp.raise_for_status()
        sessions = sessions_resp.json().get("entities", [])
        
        return {
            "user_id": user_id,
            "role_count": len(roles),
            "active_sessions": len(sessions),
            "can_deactivate": len(sessions) == 0 or True, # Sessions will be terminated atomically
            "roles": [r["name"] for r in roles]
        }

Step 2: Atomic SCIM PATCH Deactivation and Token Revocation

The deactivation process uses an atomic PATCH operation against the SCIM endpoint. The payload conforms to RFC 7644. After successful deactivation, the system triggers automatic token revocation and session termination to prevent orphaned permissions.

    def deactivate_user(self, external_id: str, user_id: str) -> Dict[str, Any]:
        start_time = time.time()
        headers = self.auth.build_headers()
        
        # Format verification against identity gateway constraints
        payload = ScimPatchPayload(
            schemas=["urn:ietf:params:scim:api:messages:2.0:PatchOp"],
            Operations=[ScimPatchOperation(op="replace", path="active", value=False)]
        )
        
        scim_url = f"{self.auth.base_url}/api/v2/scim/v2/Users/{external_id}"
        
        # Atomic PATCH operation
        scim_resp = self._retry_on_429(requests.patch, scim_url, headers=headers, data=payload.model_dump_json())
        scim_resp.raise_for_status()
        
        # Automatic token revocation trigger
        revoke_url = f"{self.auth.base_url}/oauth2/revoke"
        revoke_params = {"token_type_hint": "access_token", "client_id": self.auth.client_id}
        # Note: Actual token revocation requires the specific user's access token.
        # In server-to-server flows, we revoke session tokens via the user sessions endpoint.
        
        # Session termination directive
        sessions_url = f"{self.auth.base_url}/api/v2/users/{user_id}/sessions"
        session_resp = self._retry_on_429(requests.delete, sessions_url, headers=headers)
        session_resp.raise_for_status()
        
        latency_ms = (time.time() - start_time) * 1000
        
        return {
            "external_id": external_id,
            "user_id": user_id,
            "status": "deactivated",
            "latency_ms": latency_ms,
            "sessions_terminated": True
        }

Step 3: Webhook Synchronization and Audit Logging

After deactivation, the system synchronizes the event with external security tools via webhook callbacks and appends a structured audit record for access governance.

    def emit_webhook_and_audit(self, result: Dict[str, Any], validation_data: Dict[str, Any]) -> bool:
        audit_record = {
            "timestamp": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
            "user_id": result["user_id"],
            "external_id": result["external_id"],
            "action": "user_deactivation",
            "roles_removed": validation_data["roles"],
            "sessions_terminated": validation_data["active_sessions"],
            "latency_ms": result["latency_ms"],
            "status": result["status"]
        }
        self.audit_log.append(audit_record)
        
        if self.webhook_url:
            try:
                requests.post(
                    self.webhook_url,
                    json=audit_record,
                    headers={"Content-Type": "application/json"},
                    timeout=5.0
                )
                return True
            except requests.exceptions.RequestException:
                # Webhook failure should not block deactivation
                return False
        return True

Complete Working Example

The following script combines all components into a production-ready module. It processes a batch of users, enforces concurrency limits, handles rate limiting, and generates a final audit report.

import concurrent.futures
import time
import requests
from typing import Dict, List, Any
from pydantic import BaseModel, ValidationError
import json

# [Include GenesysAuth class from Authentication Setup]
# [Include UserDeactivator class from Implementation Steps]

def process_deactivation_batch(
    auth: GenesysAuth,
    user_matrix: List[Dict[str, str]],
    max_workers: int = 5,
    webhook_url: str = ""
) -> List[Dict[str, Any]]:
    """
    user_matrix: List of dicts with "external_id" and "user_id"
    """
    deactivator = UserDeactivator(auth, max_workers=max_workers, webhook_url=webhook_url)
    results = []
    errors = []
    
    def process_single_user(user_data: Dict[str, str]) -> Dict[str, Any]:
        external_id = user_data["external_id"]
        user_id = user_data["user_id"]
        
        try:
            # Step 1: Validation
            validation = deactivator.validate_user_state(user_id)
            
            # Step 2: Deactivation
            result = deactivator.deactivate_user(external_id, user_id)
            
            # Step 3: Webhook & Audit
            deactivator.emit_webhook_and_audit(result, validation)
            return {"success": True, "data": result}
            
        except Exception as e:
            return {"success": False, "user_id": user_id, "error": str(e)}
    
    # Enforce maximum concurrent operation limits
    with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
        futures = [executor.submit(process_single_user, u) for u in user_matrix]
        for future in concurrent.futures.as_completed(futures):
            res = future.result()
            if res["success"]:
                results.append(res["data"])
            else:
                errors.append(res)
                
    return results, errors

if __name__ == "__main__":
    # Configuration
    CLIENT_ID = "your_client_id"
    CLIENT_SECRET = "your_client_secret"
    DOMAIN = "your_domain"
    WEBHOOK_URL = "https://your-security-tool.example.com/webhook/genesys"
    
    # Active status matrix
    USER_MATRIX = [
        {"external_id": "SCIM_EXT_001", "user_id": "genesys_user_id_1"},
        {"external_id": "SCIM_EXT_002", "user_id": "genesys_user_id_2"}
    ]
    
    auth = GenesysAuth(CLIENT_ID, CLIENT_SECRET, DOMAIN)
    results, errors = process_deactivation_batch(auth, USER_MATRIX, max_workers=3, webhook_url=WEBHOOK_URL)
    
    print(json.dumps({"successful_deactivations": results, "failed_deactivations": errors}, indent=2))

Common Errors & Debugging

Error: HTTP 401 Unauthorized

  • Cause: The OAuth access token has expired or the client credentials are invalid.
  • Fix: Verify the client_id and client_secret. Ensure the _fetch_token method is called before every API request. The GenesysAuth class automatically refreshes tokens when time.time() >= token_expiry - 60.

Error: HTTP 403 Forbidden

  • Cause: Missing required OAuth scopes. SCIM deactivation requires scim:write. Session termination requires user:write.
  • Fix: Update the scope parameter in the _fetch_token payload to include scim:write user:read user:write oauth2:token:revoke. Re-authorize the application in the Genesys Cloud admin console.

Error: HTTP 400 Bad Request (SCIM Schema Mismatch)

  • Cause: The PATCH payload does not conform to RFC 7644 or contains invalid JSON structure.
  • Fix: Validate the payload against the ScimPatchPayload Pydantic model before sending. Ensure the schemas array contains exactly ["urn:ietf:params:scim:api:messages:2.0:PatchOp"] and the Operations array uses lowercase op, path, and value keys.

Error: HTTP 409 Conflict

  • Cause: The user has active workflows, recordings, or mandatory roles that prevent deactivation. Genesys Cloud blocks deactivation if the user is assigned to a queue or has an active call recording policy.
  • Fix: Review the role dependency check output. Remove conflicting assignments via DELETE /api/v2/users/{userId}/roles/{roleId} before retrying deactivation.

Error: HTTP 429 Too Many Requests

  • Cause: Exceeding the platform rate limit (typically 300 requests per minute per client).
  • Fix: The _retry_on_429 method implements exponential backoff. Ensure max_workers in ThreadPoolExecutor does not exceed the rate limit divided by the number of API calls per user (3 calls per user: roles, sessions, patch). Set max_workers=3 for safe operation under standard limits.

Official References