CX as Code: Exporting Entire Org Configuration for Disaster Recovery

What You Will Build

• A Python script that authenticates to Genesys Cloud and systematically exports critical configuration entities into a structured JSON backup.
• This uses the Genesys Cloud REST API v2 via the official Python SDK (genesyscloud).
• The programming language covered is Python.

Prerequisites

• OAuth Client: Service Account (Client Credentials Flow) with admin role or specific scopes required for reading configuration entities.
• Required Scopes: config:all, user:read, routing:read, organization:read, conversation:read (depending on depth of export). For a comprehensive org backup, config:all is typically sufficient for most static configuration, but user data requires user:read.
• SDK Version: genesyscloud Python SDK (v5.0.0+).
• Runtime: Python 3.8+.
• Dependencies: pip install genesyscloud requests.

Authentication Setup

The Genesys Cloud Python SDK handles OAuth token acquisition and refresh automatically when initialized with a Service Account client ID and secret. This is the most robust method for server-to-server integration, such as a disaster recovery export job.

import os
import json
import time
import logging
from typing import Dict, Any, List
from genesyscloud import Configuration, ApiClient
from genesyscloud.rest import ApiException

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

class GenesysConfigExporter:
    def __init__(self, client_id: str, client_secret: str, base_url: str = "https://api.mypurecloud.com"):
        """
        Initialize the Genesys Cloud API client.
        
        Args:
            client_id: OAuth Client ID.
            client_secret: OAuth Client Secret.
            base_url: Genesys Cloud region URL (e.g., api.mypurecloud.com, api.us-gov-pure.cloud).
        """
        self.base_url = base_url
        self.configuration = Configuration()
        self.configuration.host = base_url
        
        # Initialize the API client with service account credentials
        self.api_client = ApiClient(configuration=self.configuration)
        self.api_client.client_id = client_id
        self.api_client.client_secret = client_secret
        
        # Verify connection by attempting to fetch the org info
        try:
            from genesyscloud.organization_api import OrganizationApi
            org_api = OrganizationApi(api_client=self.api_client)
            self.org_info = org_api.get_organization()
            logger.info(f"Authenticated successfully to Org: {self.org_info.name} (ID: {self.org_info.id})")
        except ApiException as e:
            logger.error(f"Authentication failed: {e.body}")
            raise

Note on Token Management: The ApiClient object caches the access token and automatically refreshes it when it expires. You do not need to manually implement a refresh loop for long-running export scripts.

Implementation

Step 1: Exporting Core Organization Metadata

The first step is to capture the organizational identity and high-level settings. This provides the context for the backup.

from genesyscloud.organization_api import OrganizationApi

def export_organization_metadata(self) -> Dict[str, Any]:
    """
    Exports the core organization details.
    
    Returns:
        Dictionary containing organization name, ID, and settings.
    """
    try:
        org_api = OrganizationApi(api_client=self.api_client)
        org_data = org_api.get_organization()
        
        # Flatten the response for easier JSON serialization
        org_dict = {
            "id": org_data.id,
            "name": org_data.name,
            "settings": org_data.settings,
            "country_code": org_data.country_code,
            "currency_code": org_data.currency_code,
            "timezone_id": org_data.timezone_id
        }
        logger.info("Exported Organization Metadata.")
        return {"organization": org_dict}
    except ApiException as e:
        logger.error(f"Failed to export organization metadata: {e.status} - {e.reason}")
        return {"organization": None}

Step 2: Exporting Routing Queues and Skills

Queues are the backbone of CX configuration. We must export the queue definitions, including their skill requirements and member assignments.

OAuth Scope Required: routing:read

from genesyscloud.routing_api import RoutingApi
from genesyscloud.models import QueueWrapupCode, RoutingQueue

def export_routing_queues(self) -> List[Dict[str, Any]]:
    """
    Exports all routing queues.
    
    Returns:
        List of queue dictionaries.
    """
    queues_export = []
    try:
        routing_api = RoutingApi(api_client=self.api_client)
        
        # Pagination loop
        page_number = 1
        page_size = 250
        while True:
            response = routing_api.post_routing_queues(
                expand=["members", "skills", "wrapupCodes"],
                page_size=page_size,
                page_number=page_number
            )
            
            if not response.entities:
                break
                
            for queue in response.entities:
                # Convert SDK object to dict
                queue_dict = queue.to_dict()
                queues_export.append(queue_dict)
            
            # Check if there are more pages
            if page_number >= response.page_count:
                break
            page_number += 1
            
            # Rate limit protection: Small delay between pages
            time.sleep(0.5)

        logger.info(f"Exported {len(queues_export)} queues.")
        return queues_export
    except ApiException as e:
        logger.error(f"Failed to export queues: {e.status} - {e.reason}")
        return []

Key Parameter Explanation:

• expand=["members", "skills", "wrapupCodes"]: By default, the API returns only the core queue object. To get a usable backup for disaster recovery, you must expand nested resources. Without this, you would need to make separate API calls for each queue to get its members, which is inefficient and prone to rate-limiting.

Step 3: Exporting Users and Roles

Users contain sensitive data and complex role assignments. We export the user list and their associated role IDs.

OAuth Scope Required: user:read

from genesyscloud.users_api import UsersApi

def export_users(self) -> List[Dict[str, Any]]:
    """
    Exports all active users.
    
    Returns:
        List of user dictionaries.
    """
    users_export = []
    try:
        users_api = UsersApi(api_client=self.api_client)
        
        page_number = 1
        page_size = 50 # Users API often has stricter rate limits
        
        while True:
            response = users_api.post_users(
                page_size=page_size,
                page_number=page_number,
                expanded=["roles", "skills", "wrapupCodes"]
            )
            
            if not response.entities:
                break
                
            for user in response.entities:
                user_dict = user.to_dict()
                # Optional: Mask sensitive email fields for security in backup storage
                # user_dict['email'] = "***" 
                users_export.append(user_dict)
            
            if page_number >= response.page_count:
                break
            page_number += 1
            time.sleep(0.2) # Aggressive rate limit protection for Users API

        logger.info(f"Exported {len(users_export)} users.")
        return users_export
    except ApiException as e:
        logger.error(f"Failed to export users: {e.status} - {e.reason}")
        return []

Step 4: Exporting Wrap-up Codes

Wrap-up codes are shared across queues and are critical for reporting consistency.

OAuth Scope Required: routing:read

def export_wrapup_codes(self) -> List[Dict[str, Any]]:
    """
    Exports all wrap-up codes.
    
    Returns:
        List of wrap-up code dictionaries.
    """
    wrapup_export = []
    try:
        routing_api = RoutingApi(api_client=self.api_client)
        
        page_number = 1
        page_size = 100
        
        while True:
            response = routing_api.post_routing_wrapupcodes(
                page_size=page_size,
                page_number=page_number
            )
            
            if not response.entities:
                break
                
            for code in response.entities:
                wrapup_export.append(code.to_dict())
            
            if page_number >= response.page_count:
                break
            page_number += 1
            time.sleep(0.1)

        logger.info(f"Exported {len(wrapup_export)} wrap-up codes.")
        return wrapup_export
    except ApiException as e:
        logger.error(f"Failed to export wrap-up codes: {e.status} - {e.reason}")
        return []

Step 5: Exporting IVR Applications (Flow Data)

IVR applications are defined by JSON flow data. We export the list of IVR apps and their associated flow definitions.

OAuth Scope Required: routing:read

def export_ivr_applications(self) -> List[Dict[str, Any]]:
    """
    Exports IVR application metadata and flow definitions.
    
    Returns:
        List of IVR application dictionaries.
    """
    ivr_export = []
    try:
        routing_api = RoutingApi(api_client=self.api_client)
        
        page_number = 1
        page_size = 50
        
        while True:
            response = routing_api.post_routing_ivrs(
                expand=["application"],
                page_size=page_size,
                page_number=page_number
            )
            
            if not response.entities:
                break
                
            for ivr in response.entities:
                ivr_dict = ivr.to_dict()
                ivr_export.append(ivr_dict)
            
            if page_number >= response.page_count:
                break
            page_number += 1
            time.sleep(0.1)

        logger.info(f"Exported {len(ivr_export)} IVR applications.")
        return ivr_export
    except ApiException as e:
        logger.error(f"Failed to export IVR applications: {e.status} - {e.reason}")
        return []

Complete Working Example

This script ties all the components together into a single executable module. It creates a timestamped JSON file containing the entire configuration snapshot.

import os
import json
import time
import logging
from datetime import datetime
from typing import Dict, Any, List
from genesyscloud import Configuration, ApiClient
from genesyscloud.rest import ApiException
from genesyscloud.organization_api import OrganizationApi
from genesyscloud.routing_api import RoutingApi
from genesyscloud.users_api import UsersApi

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

class GenesysConfigExporter:
    def __init__(self, client_id: str, client_secret: str, base_url: str = "https://api.mypurecloud.com"):
        self.base_url = base_url
        self.configuration = Configuration()
        self.configuration.host = base_url
        
        self.api_client = ApiClient(configuration=self.configuration)
        self.api_client.client_id = client_id
        self.api_client.client_secret = client_secret
        
        # Verify connection
        try:
            org_api = OrganizationApi(api_client=self.api_client)
            self.org_info = org_api.get_organization()
            logger.info(f"Authenticated successfully to Org: {self.org_info.name}")
        except ApiException as e:
            logger.error(f"Authentication failed: {e.body}")
            raise

    def export_organization_metadata(self) -> Dict[str, Any]:
        try:
            org_api = OrganizationApi(api_client=self.api_client)
            org_data = org_api.get_organization()
            return {
                "id": org_data.id,
                "name": org_data.name,
                "settings": org_data.settings,
                "country_code": org_data.country_code,
                "currency_code": org_data.currency_code,
                "timezone_id": org_data.timezone_id
            }
        except ApiException as e:
            logger.error(f"Failed to export organization metadata: {e.reason}")
            return {}

    def _paginate(self, api_call_func, **kwargs) -> List[Dict[str, Any]]:
        """
        Generic pagination handler for list endpoints.
        
        Args:
            api_call_func: The API method to call (e.g., routing_api.post_routing_queues).
            **kwargs: Arguments to pass to the API method (e.g., expand, page_size).
        
        Returns:
            List of entity dictionaries.
        """
        entities_export = []
        page_number = 1
        page_size = kwargs.pop('page_size', 250)
        
        while True:
            try:
                response = api_call_func(page_size=page_size, page_number=page_number, **kwargs)
                
                if not response.entities:
                    break
                    
                for entity in response.entities:
                    entities_export.append(entity.to_dict())
                
                if page_number >= response.page_count:
                    break
                page_number += 1
                time.sleep(0.2) # Rate limit buffer
            except ApiException as e:
                logger.error(f"Pagination error: {e.reason}")
                break
                
        return entities_export

    def export_routing_queues(self) -> List[Dict[str, Any]]:
        routing_api = RoutingApi(api_client=self.api_client)
        logger.info("Exporting Routing Queues...")
        return self._paginate(routing_api.post_routing_queues, expand=["members", "skills", "wrapupCodes"])

    def export_users(self) -> List[Dict[str, Any]]:
        users_api = UsersApi(api_client=self.api_client)
        logger.info("Exporting Users...")
        return self._paginate(users_api.post_users, expanded=["roles", "skills", "wrapupCodes"], page_size=50)

    def export_wrapup_codes(self) -> List[Dict[str, Any]]:
        routing_api = RoutingApi(api_client=self.api_client)
        logger.info("Exporting Wrap-Up Codes...")
        return self._paginate(routing_api.post_routing_wrapupcodes)

    def export_ivr_applications(self) -> List[Dict[str, Any]]:
        routing_api = RoutingApi(api_client=self.api_client)
        logger.info("Exporting IVR Applications...")
        return self._paginate(routing_api.post_routing_ivrs, expand=["application"])

    def run_export(self, output_dir: str = "./exports"):
        """
        Executes the full export process.
        """
        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
        filename = f"genesys_backup_{timestamp}.json"
        filepath = os.path.join(output_dir, filename)
        
        if not os.path.exists(output_dir):
            os.makedirs(output_dir)

        logger.info(f"Starting full configuration export to {filepath}")
        
        backup_data = {
            "export_timestamp": datetime.now().isoformat(),
            "org_name": self.org_info.name,
            "org_id": self.org_info.id,
            "metadata": self.export_organization_metadata(),
            "queues": self.export_routing_queues(),
            "users": self.export_users(),
            "wrapup_codes": self.export_wrapup_codes(),
            "ivrs": self.export_ivr_applications()
        }
        
        try:
            with open(filepath, 'w', encoding='utf-8') as f:
                json.dump(backup_data, f, indent=2, default=str)
            logger.info(f"Export completed successfully. File size: {os.path.getsize(filepath)} bytes")
        except Exception as e:
            logger.error(f"Failed to write file: {e}")

if __name__ == "__main__":
    # Load credentials from environment variables
    CLIENT_ID = os.getenv("GENESYS_CLIENT_ID")
    CLIENT_SECRET = os.getenv("GENESYS_CLIENT_SECRET")
    BASE_URL = os.getenv("GENESYS_BASE_URL", "https://api.mypurecloud.com")
    
    if not CLIENT_ID or not CLIENT_SECRET:
        raise ValueError("GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET environment variables are required.")
        
    exporter = GenesysConfigExporter(CLIENT_ID, CLIENT_SECRET, BASE_URL)
    exporter.run_export()

Common Errors & Debugging

Error: 403 Forbidden (Insufficient Scopes)

• Cause: The Service Account does not have the required OAuth scopes. For example, attempting to export users without user:read will result in a 403.
• Fix: Go to the Genesys Cloud Admin Console → Settings → Security → OAuth. Edit the Client ID associated with your script and add the missing scopes (routing:read, user:read, config:all).
• Debug Code:

  # Check scopes in your initialization
  print(self.api_client.api_key) # This won't show scopes directly, but verify in Admin Console
  

Error: 429 Too Many Requests

• Cause: Genesys Cloud APIs have strict rate limits (typically 60 requests per second for most endpoints, but lower for heavy entities like Users). The script makes sequential calls, but if you parallelize or run too fast, you will hit this.
• Fix: Increase the time.sleep() duration in the _paginate method. For Users API, a 0.5s delay is safer than 0.2s.
• Debug Code:

  # In _paginate method
  if response.status == 429:
      retry_after = response.headers.get('Retry-After', 1)
      time.sleep(int(retry_after))
  

Error: 500 Internal Server Error (Large Payloads)

• Cause: Exporting very large orgs (10,000+ users) can sometimes cause serialization issues or timeout on the API side if the response payload is too large for the buffer.
• Fix: Split the export into smaller chunks. Instead of one giant JSON file, write each entity type to a separate file.
• Debug Code:

  # Modify run_export to write separate files
  def write_chunk(self, filename: str, data: Any):
      with open(filename, 'w') as f:
          json.dump(data, f, indent=2, default=str)
  

Official References

• Genesys Cloud Python SDK Documentation
• Organization API Reference
• Routing API Reference
• Users API Reference
• OAuth Scopes Reference