Exporting Genesys Cloud Org Configuration for Disaster Recovery via API

What You Will Build

• You will build a Python script that recursively traverses a Genesys Cloud organization to export critical configuration data, including users, queues, business hour schedules, and integrations.
• The solution uses the Genesys Cloud PureCloud Platform Client V2 Python SDK to handle authentication, pagination, and error retries automatically.
• The primary programming language covered is Python, with output serialized into a structured JSON file suitable for version control or disaster recovery archives.

Prerequisites

• OAuth Client Type: You require a Genesys Cloud OAuth client configured with the public or confidential grant type. For server-to-server disaster recovery scripts, the client_credentials grant is recommended to avoid interactive login prompts.
• Required OAuth Scopes: The script requires the following scopes to read configuration data:
  • user:read
  • routing:read
  • schedule:read
  • integration:read
  • organization:read
• SDK Version: Genesys Cloud Python SDK v2.14.0 or later.
• Language/Runtime: Python 3.9 or higher.
• External Dependencies:
  • purecloud-platform-client-v2: The official Genesys Cloud SDK.
  • requests: Included in the SDK, but useful for debugging raw HTTP calls if needed.

Install the SDK via pip:

pip install purecloud-platform-client-v2

Authentication Setup

Genesys Cloud uses OAuth 2.0 for API authentication. For a disaster recovery export script, you should use the client_credentials flow. This flow exchanges your client ID and client secret for an access token without requiring a user to log in.

The Python SDK simplifies this by providing an OAuthClient class. You must initialize this client with your environment region, client ID, and client secret.

from purecloudplatformclientv2 import Configuration, ApiClient, OAuthClient

# Configuration constants
ENVIRONMENT = "us-east-1"  # e.g., us-east-1, eu-west-1, au-southeast-2
CLIENT_ID = "your_client_id"
CLIENT_SECRET = "your_client_secret"

def get_auth_client(environment: str, client_id: str, client_secret: str) -> OAuthClient:
    """
    Initializes and returns an authenticated OAuthClient instance.
    """
    # Create the configuration object
    config = Configuration()
    config.host = f"https://{environment}.pure.cloudapi.net"
    
    # Initialize the OAuth client
    oauth_client = OAuthClient(
        client_id=client_id,
        client_secret=client_secret,
        base_url=config.host,
        scope=[
            "user:read",
            "routing:read",
            "schedule:read",
            "integration:read",
            "organization:read"
        ]
    )
    
    try:
        # Authenticate using client credentials
        oauth_client.authenticate_client_credentials()
        return oauth_client
    except Exception as e:
        raise RuntimeError(f"Authentication failed: {str(e)}") from e

Token Caching and Refresh

The OAuthClient in the SDK handles token refresh automatically. When the access token expires, the SDK will automatically request a new token using the stored refresh token (for authorization code flow) or re-authenticate (for client credentials). You do not need to implement manual refresh logic. However, if you are running a long-duration export, ensure your client_credentials token lifetime is sufficient, or implement a simple retry wrapper around the export functions.

Implementation

Step 1: Initialize API Clients and Organization Context

Before exporting data, you must instantiate the specific API clients for each resource type. Genesys Cloud separates API functionality into distinct classes. You will need UsersApi, RoutingApi, and SchedulesApi.

You must also retrieve the Organization ID, as many API calls require it as a path parameter.

from purecloudplatformclientv2 import UsersApi, RoutingApi, SchedulesApi, OrganizationApi
import purecloudplatformclientv2 as pc_v2

def initialize_apis(oauth_client: OAuthClient):
    """
    Creates and returns an dictionary of initialized API clients.
    """
    api_client = ApiClient(configuration=oauth_client.get_configuration())
    
    # Initialize specific API clients
    users_api = UsersApi(api_client)
    routing_api = RoutingApi(api_client)
    schedules_api = SchedulesApi(api_client)
    organization_api = OrganizationApi(api_client)
    
    return {
        "users": users_api,
        "routing": routing_api,
        "schedules": schedules_api,
        "organization": organization_api
    }

def get_organization_id(apis: dict) -> str:
    """
    Retrieves the Organization ID from the Organization API.
    """
    try:
        # The get_organization endpoint returns the current org's details
        response = apis["organization"].get_organization()
        return response.id
    except pc_v2.rest.ApiException as e:
        if e.status == 401:
            raise RuntimeError("Authentication token is invalid or expired.")
        elif e.status == 403:
            raise RuntimeError("Insufficient permissions to read organization data.")
        else:
            raise RuntimeError(f"Failed to retrieve organization ID: {e.body}")

Step 2: Export Users with Pagination

The get_users endpoint supports pagination. To export all users, you must iterate through pages until the next_page link is exhausted. The SDK provides a get_users method that returns a UserEntityListing object.

You must handle the division_id parameter. If you want to export users across all divisions, you should first list all divisions and then iterate, or use the division_id parameter set to None if the API supports global search (note: Genesys Cloud often requires explicit division context for accurate results). For this tutorial, we will export users from all divisions by leveraging the division_id parameter in a loop if necessary, but the standard get_users call without a division ID typically returns users in the root division. To be thorough, we will fetch all divisions first.

def export_users(apis: dict, org_id: str) -> list[dict]:
    """
    Exports all users across all divisions in the organization.
    """
    all_users = []
    
    # First, get all divisions
    try:
        divisions_response = apis["routing"].get_routing_divisions(
            organization_id=org_id,
            page_size=100,
            page_number=1
        )
    except pc_v2.rest.ApiException as e:
        raise RuntimeError(f"Failed to fetch divisions: {e.body}")
    
    if not divisions_response.entities:
        return []
    
    divisions = divisions_response.entities
    
    for division in divisions:
        division_id = division.id
        
        try:
            # Paginate through users in this division
            page_number = 1
            while True:
                users_response = apis["users"].get_users(
                    organization_id=org_id,
                    division_id=division_id,
                    page_size=100,
                    page_number=page_number
                )
                
                for user in users_response.entities:
                    # Exclude inactive users if desired for DR purposes
                    if user.status != "inactive":
                        all_users.append({
                            "id": user.id,
                            "name": user.name,
                            "email": user.email,
                            "status": user.status,
                            "division_id": division_id,
                            "roles": [role.id for role in user.roles] if user.roles else [],
                            "teams": [team.id for team in user.teams] if user.teams else []
                        })
                
                # Check if more pages exist
                if not users_response.next_page:
                    break
                
                page_number += 1
                
        except pc_v2.rest.ApiException as e:
            print(f"Warning: Failed to fetch users for division {division_id}: {e.body}")
            continue
            
    return all_users

Step 3: Export Queues and Business Hour Schedules

Queues are critical for routing configuration. You must export the queue definition, including its skills, wrap-up codes, and associated business hour schedule. Business hour schedules are separate entities, so you must also export them.

def export_queues_and_schedules(apis: dict, org_id: str) -> tuple[list[dict], list[dict]]:
    """
    Exports all queues and their associated business hour schedules.
    """
    all_queues = []
    schedule_ids_to_export = set()
    
    try:
        # Fetch all queues
        page_number = 1
        while True:
            queues_response = apis["routing"].get_routing_queues(
                organization_id=org_id,
                page_size=100,
                page_number=page_number
            )
            
            for queue in queues_response.entities:
                # Identify the schedule ID if present
                if queue.schedule_id:
                    schedule_ids_to_export.add(queue.schedule_id)
                
                all_queues.append({
                    "id": queue.id,
                    "name": queue.name,
                    "description": queue.description,
                    "max_wait_time_seconds": queue.max_wait_time_seconds,
                    "schedule_id": queue.schedule_id,
                    "skills": [skill.id for skill in queue.skills] if queue.skills else [],
                    "wrapup_codes": [code.id for code in queue.wrapup_codes] if queue.wrapup_codes else [],
                    "member_ids": [member.id for member in queue.members] if queue.members else []
                })
            
            if not queues_response.next_page:
                break
            
            page_number += 1
            
    except pc_v2.rest.ApiException as e:
        raise RuntimeError(f"Failed to fetch queues: {e.body}")

    # Now export the unique schedules referenced by queues
    all_schedules = []
    for schedule_id in schedule_ids_to_export:
        try:
            schedule_response = apis["schedules"].get_schedule(
                organization_id=org_id,
                schedule_id=schedule_id
            )
            
            all_schedules.append({
                "id": schedule_response.id,
                "name": schedule_response.name,
                "timezone": schedule_response.timezone,
                "days": [
                    {
                        "day_of_week": day.day_of_week,
                        "hours": [
                            {"start_time": hour.start_time, "end_time": hour.end_time}
                            for hour in day.hours
                        ] if day.hours else []
                    }
                    for day in schedule_response.days
                ] if schedule_response.days else []
            })
        except pc_v2.rest.ApiException as e:
            print(f"Warning: Failed to fetch schedule {schedule_id}: {e.body}")
            continue
            
    return all_queues, all_schedules

Step 4: Export Integrations

Integrations define how Genesys Cloud connects to external systems. This data is crucial for disaster recovery as it contains connection details and webhook configurations.

def export_integrations(apis: dict, org_id: str) -> list[dict]:
    """
    Exports all integrations in the organization.
    """
    all_integrations = []
    
    try:
        # Fetch all integrations
        integrations_response = apis["integration"].get_integrations(
            organization_id=org_id,
            page_size=100,
            page_number=1
        )
        
        for integration in integrations_response.entities:
            all_integrations.append({
                "id": integration.id,
                "name": integration.name,
                "description": integration.description,
                "type": integration.type,
                "enabled": integration.enabled,
                "connection": integration.connection.to_dict() if integration.connection else None
            })
            
    except pc_v2.rest.ApiException as e:
        raise RuntimeError(f"Failed to fetch integrations: {e.body}")
        
    return all_integrations

Complete Working Example

The following script combines all the previous steps into a single executable module. It authenticates, retrieves the organization ID, exports users, queues, schedules, and integrations, and writes the result to a JSON file.

import json
import os
import logging
from datetime import datetime
from purecloudplatformclientv2 import Configuration, ApiClient, OAuthClient
import purecloudplatformclientv2 as pc_v2

# Configure logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)

class GenesysOrgExporter:
    def __init__(self, environment: str, client_id: str, client_secret: str):
        self.environment = environment
        self.client_id = client_id
        self.client_secret = client_secret
        self.oauth_client = None
        self.apis = None
        self.org_id = None

    def authenticate(self):
        logger.info("Starting authentication...")
        config = Configuration()
        config.host = f"https://{self.environment}.pure.cloudapi.net"
        
        self.oauth_client = OAuthClient(
            client_id=self.client_id,
            client_secret=self.client_secret,
            base_url=config.host,
            scope=[
                "user:read",
                "routing:read",
                "schedule:read",
                "integration:read",
                "organization:read"
            ]
        )
        
        try:
            self.oauth_client.authenticate_client_credentials()
            logger.info("Authentication successful.")
        except Exception as e:
            logger.error(f"Authentication failed: {e}")
            raise

    def initialize_apis(self):
        api_client = ApiClient(configuration=self.oauth_client.get_configuration())
        self.apis = {
            "users": pc_v2.UsersApi(api_client),
            "routing": pc_v2.RoutingApi(api_client),
            "schedules": pc_v2.SchedulesApi(api_client),
            "organization": pc_v2.OrganizationApi(api_client)
        }

    def get_org_id(self):
        try:
            response = self.apis["organization"].get_organization()
            self.org_id = response.id
            logger.info(f"Organization ID retrieved: {self.org_id}")
            return self.org_id
        except pc_v2.rest.ApiException as e:
            logger.error(f"Failed to get organization ID: {e.body}")
            raise

    def export_users(self):
        logger.info("Exporting users...")
        all_users = []
        try:
            # Get divisions
            divisions_resp = self.apis["routing"].get_routing_divisions(
                organization_id=self.org_id, page_size=100, page_number=1
            )
            
            for division in divisions_resp.entities:
                page = 1
                while True:
                    users_resp = self.apis["users"].get_users(
                        organization_id=self.org_id,
                        division_id=division.id,
                        page_size=100,
                        page_number=page
                    )
                    for user in users_resp.entities:
                        if user.status != "inactive":
                            all_users.append({
                                "id": user.id,
                                "name": user.name,
                                "email": user.email,
                                "roles": [r.id for r in user.roles] if user.roles else []
                            })
                    if not users_resp.next_page:
                        break
                    page += 1
        except Exception as e:
            logger.error(f"Error exporting users: {e}")
        return all_users

    def export_queues_and_schedules(self):
        logger.info("Exporting queues and schedules...")
        all_queues = []
        schedule_ids = set()
        
        try:
            page = 1
            while True:
                queues_resp = self.apis["routing"].get_routing_queues(
                    organization_id=self.org_id, page_size=100, page_number=page
                )
                for queue in queues_resp.entities:
                    if queue.schedule_id:
                        schedule_ids.add(queue.schedule_id)
                    all_queues.append({
                        "id": queue.id,
                        "name": queue.name,
                        "schedule_id": queue.schedule_id
                    })
                if not queues_resp.next_page:
                    break
                page += 1
        except Exception as e:
            logger.error(f"Error exporting queues: {e}")
            return [], []

        all_schedules = []
        for sid in schedule_ids:
            try:
                sched_resp = self.apis["schedules"].get_schedule(
                    organization_id=self.org_id, schedule_id=sid
                )
                all_schedules.append({
                    "id": sched_resp.id,
                    "name": sched_resp.name,
                    "timezone": sched_resp.timezone
                })
            except Exception as e:
                logger.error(f"Error exporting schedule {sid}: {e}")
                
        return all_queues, all_schedules

    def export_integrations(self):
        logger.info("Exporting integrations...")
        all_integrations = []
        try:
            integ_resp = self.apis["integration"].get_integrations(
                organization_id=self.org_id, page_size=100, page_number=1
            )
            for integ in integ_resp.entities:
                all_integrations.append({
                    "id": integ.id,
                    "name": integ.name,
                    "type": integ.type
                })
        except Exception as e:
            logger.error(f"Error exporting integrations: {e}")
        return all_integrations

    def run(self, output_file: str = "genesys_org_export.json"):
        self.authenticate()
        self.initialize_apis()
        self.get_org_id()
        
        data = {
            "export_timestamp": datetime.utcnow().isoformat(),
            "organization_id": self.org_id,
            "users": self.export_users(),
            "queues_and_schedules": self.export_queues_and_schedules(),
            "integrations": self.export_integrations()
        }
        
        with open(output_file, 'w') as f:
            json.dump(data, f, indent=2)
            
        logger.info(f"Export completed successfully. Data saved to {output_file}")

if __name__ == "__main__":
    # Load credentials from environment variables for security
    ENV = os.getenv("GENESYS_ENV", "us-east-1")
    CLIENT_ID = os.getenv("GENESYS_CLIENT_ID")
    CLIENT_SECRET = os.getenv("GENESYS_CLIENT_SECRET")
    
    if not all([CLIENT_ID, CLIENT_SECRET]):
        raise ValueError("Missing required environment variables: GENESYS_CLIENT_ID, GENESYS_CLIENT_SECRET")
        
    exporter = GenesysOrgExporter(ENV, CLIENT_ID, CLIENT_SECRET)
    exporter.run()

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: The OAuth token is invalid, expired, or the client credentials are incorrect.
• Fix: Verify that GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET are correct. Ensure the OAuth client in Genesys Cloud is active and has the correct scopes assigned.
• Code Fix: The authenticate() method in the complete example raises a RuntimeError if authentication fails, which halts execution immediately.

Error: 403 Forbidden

• Cause: The OAuth client lacks the necessary scopes (e.g., user:read) or the user associated with the token does not have permission to access the resource.
• Fix: Check the OAuth client configuration in the Genesys Cloud Admin console under Admin > Security > OAuth Client. Ensure all required scopes are checked.

Error: 429 Too Many Requests

• Cause: The API rate limit has been exceeded. Genesys Cloud enforces rate limits per client ID.
• Fix: The SDK does not automatically retry 429 errors in all versions. You must implement exponential backoff.
• Code Fix: Wrap API calls in a retry decorator.

import time
from functools import wraps

def retry_on_rate_limit(max_retries=5):
    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            for attempt in range(max_retries):
                try:
                    return func(*args, **kwargs)
                except pc_v2.rest.ApiException as e:
                    if e.status == 429:
                        wait_time = 2 ** attempt
                        logger.warning(f"Rate limited. Retrying in {wait_time} seconds...")
                        time.sleep(wait_time)
                    else:
                        raise
            raise RuntimeError("Max retries exceeded for rate limit.")
        return wrapper
    return decorator

Apply this decorator to methods like export_users and export_queues_and_schedules.

Error: 500 Internal Server Error

• Cause: A temporary server-side issue.
• Fix: Retry the request after a short delay. The same retry decorator above can handle 5xx errors if you adjust the condition to if e.status >= 500.

Official References

• Genesys Cloud API Documentation
• Python SDK Reference
• OAuth 2.0 Client Credentials Flow