Exporting Genesys Cloud Organization Configuration as Code for Disaster Recovery

What You Will Build

• A Python script that iterates through every configurable entity in a Genesys Cloud organization and exports the JSON definitions to a local file system.
• This solution utilizes the Genesys Cloud Platform API v2 to retrieve resources such as users, queues, flow definitions, and IVR configurations.
• The tutorial covers Python using the official genesys-cloud-sdk and httpx for robust HTTP handling.

Prerequisites

• OAuth Client: A Genesys Cloud OAuth client with the confadmin role to access configuration resources.
• Required Scopes: organization:read, user:read, routing:read, flow:read, ivr:read, architect:read, location:read, businesshours:read, schedulegroups:read.
• SDK Version: genesys-cloud-sdk version 120.0.0 or higher.
• Runtime: Python 3.9+.
• Dependencies: pip install genesys-cloud-sdk httpx python-dotenv

Authentication Setup

Genesys Cloud uses OAuth 2.0 for authentication. For a disaster recovery export script, the Client Credentials flow is the most appropriate. This flow requires a client ID, client secret, and environment URL. The token has a limited lifespan (typically 1 hour), so the script must handle token refresh or re-authentication if the export process exceeds this window.

The following code establishes the authentication context using the httpx library to manage the token lifecycle manually, providing more control than the default SDK token handling for batch operations.

import os
import httpx
import time
import json
from typing import Dict, Optional

class GenesysAuth:
    def __init__(self, env_url: str, client_id: str, client_secret: str):
        self.env_url = env_url.rstrip('/')
        self.client_id = client_id
        self.client_secret = client_secret
        self.token_url = f"{self.env_url}/oauth/token"
        self.access_token: Optional[str] = None
        self.token_expiry: Optional[float] = None
        self.client = httpx.Client(
            base_url=self.env_url,
            timeout=30.0,
            headers={"Content-Type": "application/json"}
        )

    def _get_headers(self) -> Dict[str, str]:
        if not self.access_token or self._is_token_expired():
            self.refresh_token()
        return {
            "Authorization": f"Bearer {self.access_token}",
            "Content-Type": "application/json"
        }

    def _is_token_expired(self) -> bool:
        if self.token_expiry is None:
            return True
        return time.time() > self.token_expiry - 60 # Refresh 60 seconds before expiry

    def refresh_token(self) -> None:
        """
        Requests a new access token using client credentials.
        Raises an exception if authentication fails.
        """
        data = {
            "grant_type": "client_credentials",
            "client_id": self.client_id,
            "client_secret": self.client_secret
        }
        
        response = self.client.post("/oauth/token", data=data)
        
        if response.status_code != 200:
            raise Exception(f"Authentication failed with status {response.status_code}: {response.text}")
        
        token_data = response.json()
        self.access_token = token_data.get("access_token")
        # Calculate expiry time based on issued_at and expires_in
        issued_at = time.time()
        expires_in = token_data.get("expires_in", 3600)
        self.token_expiry = issued_at + expires_in
        
        # Update client headers for subsequent requests
        self.client.headers["Authorization"] = f"Bearer {self.access_token}"

    def get_headers(self) -> Dict[str, str]:
        return self._get_headers()

Implementation

Step 1: Initializing the Export Engine

The core of the disaster recovery script is an engine that orchestrates the calls to various API endpoints. Genesys Cloud APIs are RESTful and return paginated results for list endpoints. The export engine must handle pagination automatically to ensure no records are missed.

We define a base class for the exporter that handles the common logic of making GET requests, handling rate limits (429), and saving results to disk.

import os
import logging
from pathlib import Path
from typing import List, Any

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

class ConfigExporter:
    def __init__(self, auth: GenesysAuth, output_dir: str):
        self.auth = auth
        self.output_dir = Path(output_dir)
        self.output_dir.mkdir(parents=True, exist_ok=True)

    def _make_request(self, method: str, path: str, params: dict = None) -> Any:
        """
        Makes an HTTP request to the Genesys Cloud API.
        Implements exponential backoff for 429 Too Many Requests errors.
        """
        headers = self.auth.get_headers()
        max_retries = 5
        retry_count = 0
        base_delay = 2.0

        while retry_count < max_retries:
            response = self.auth.client.request(method, path, headers=headers, params=params)
            
            if response.status_code == 429:
                retry_after = int(response.headers.get("Retry-After", base_delay * (2 ** retry_count)))
                logger.warning(f"Rate limited on {path}. Retrying in {retry_after}s...")
                time.sleep(retry_after)
                retry_count += 1
                continue
            
            if response.status_code >= 400:
                logger.error(f"Error fetching {path}: {response.status_code} - {response.text}")
                raise Exception(f"API Error on {path}: {response.status_code}")
            
            return response.json()
        
        raise Exception(f"Max retries exceeded for {path}")

    def _save_json(self, filename: str, data: Any) -> None:
        """Saves data as a formatted JSON file."""
        file_path = self.output_dir / filename
        with open(file_path, 'w', encoding='utf-8') as f:
            json.dump(data, f, indent=2, ensure_ascii=False)
        logger.info(f"Saved {filename}")

    def _fetch_all_pages(self, path: str, initial_params: dict = None) -> List[Any]:
        """
        Fetches all pages of a paginated resource.
        Genesys Cloud uses 'page_size' and 'page_number' or cursor-based pagination.
        This implementation handles standard page_number pagination.
        """
        all_items = []
        page = 1
        page_size = 200 # Max recommended page size for most endpoints
        
        params = {
            "page_size": page_size,
            "page_number": page
        }
        
        if initial_params:
            params.update(initial_params)

        while True:
            response = self._make_request("GET", path, params=params)
            
            # Handle different response structures
            if isinstance(response, dict):
                items = response.get("entities", [])
                next_page = response.get("next_page")
            else:
                items = response
                next_page = None
                break

            if not items:
                break
                
            all_items.extend(items)
            
            if not next_page or "next" not in next_page:
                break
                
            page += 1
            params["page_number"] = page
            
            # Small delay to be respectful to the API
            time.sleep(0.1)

        return all_items

Step 2: Defining Resource Exporters

Disaster recovery requires exporting multiple distinct types of resources. Each resource type has a different API endpoint and structure. We create specific methods for each critical component: Users, Queues, Flows, and IVRs.

Exporting Users and Teams

Users are foundational. We need to export user profiles, but we must exclude sensitive data like passwords. The API returns a summary object for lists and detailed objects for single IDs. For a full DR export, we typically want the detailed configuration, but fetching details for every user individually is slow. A better approach for DR is to export the list of users with their primary attributes and roles, then export the teams they belong to separately.

    def export_users(self) -> None:
        """Exports all users in the organization."""
        logger.info("Exporting Users...")
        # Scope: user:read
        users = self._fetch_all_pages("/api/v2/users")
        self._save_json("users.json", users)
        
        # Also export Teams for context
        logger.info("Exporting Teams...")
        teams = self._fetch_all_pages("/api/v2/teams")
        self._save_json("teams.json", teams)
        
        # Export Roles to ensure role definitions are preserved
        logger.info("Exporting Roles...")
        roles = self._fetch_all_pages("/api/v2/authorization/roles")
        self._save_json("roles.json", roles)

Exporting Routing Queues

Queues are complex entities containing skills, wrap-up codes, and outbound campaign associations. The /api/v2/routing/queues endpoint returns the full configuration.

    def export_queues(self) -> None:
        """Exports all routing queues."""
        logger.info("Exporting Queues...")
        # Scope: routing:read
        queues = self._fetch_all_pages("/api/v2/routing/queues")
        
        # Clean up internal IDs if necessary, but for DR, keep original IDs
        # to allow for re-import mapping if the target org is the same or linked.
        self._save_json("queues.json", queues)
        
        # Export Wrap-up Codes associated with queues
        logger.info("Exporting Wrap-up Codes...")
        # Wrap-up codes are often nested, but we can export them explicitly
        # Note: Wrap-up codes are retrieved per queue or globally. 
        # Global export is cleaner for DR.
        wrap_up_codes = self._fetch_all_pages("/api/v2/routing/wrapupcodes")
        self._save_json("wrap_up_codes.json", wrap_up_codes)

Exporting Architect Flows

Flows are the most critical part of a contact center configuration. They are binary or JSON structures depending on the export format. The API allows exporting flows as JSON. We must export both the definition and the associated flow version metadata.

    def export_flows(self) -> None:
        """Exports all Architect flows."""
        logger.info("Exporting Flows...")
        # Scope: flow:read
        flows = self._fetch_all_pages("/api/v2/flows")
        
        flow_details = []
        for flow in flows:
            flow_id = flow.get("id")
            # Fetch the full flow definition
            # Endpoint: GET /api/v2/flows/{flowId}
            flow_def = self._make_request("GET", f"/api/v2/flows/{flow_id}")
            flow_details.append(flow_def)
            
            # Also export flow versions for audit trail
            versions = self._fetch_all_pages(f"/api/v2/flows/{flow_id}/versions")
            self._save_json(f"flows/{flow_id}_versions.json", versions)

        self._save_json("flows_definitions.json", flow_details)

Exporting IVR and Speech Resources

IVR configurations and Speech Analytics settings are vital for voice routing.

    def export_ivr_and_speech(self) -> None:
        """Exports IVR configurations and Speech resources."""
        logger.info("Exporting IVR Configurations...")
        # Scope: ivr:read
        ivrs = self._fetch_all_pages("/api/v2/ivrs")
        self._save_json("ivrs.json", ivrs)

        logger.info("Exporting Speech Resources...")
        # Scope: speechanalytics:read
        # Speech resources include grammars, language models, etc.
        speech_resources = self._fetch_all_pages("/api/v2/speech/resources")
        self._save_json("speech_resources.json", speech_resources)
        
        # Export Speech Analytics configurations
        analytics_configs = self._fetch_all_pages("/api/v2/speech/analytics/configs")
        self._save_json("speech_analytics_configs.json", analytics_configs)

Step 3: Orchestrating the Full Export

The final step is to combine these exporters into a single runnable script. We must ensure that the directory structure is clean and that errors in one section do not halt the entire process, allowing partial recovery.

    def run_full_export(self) -> None:
        """Executes the full disaster recovery export."""
        logger.info("Starting Full Configuration Export...")
        start_time = time.time()
        
        try:
            self.export_users()
        except Exception as e:
            logger.error(f"Failed to export users: {e}")
            
        try:
            self.export_queues()
        except Exception as e:
            logger.error(f"Failed to export queues: {e}")
            
        try:
            self.export_flows()
        except Exception as e:
            logger.error(f"Failed to export flows: {e}")
            
        try:
            self.export_ivr_and_speech()
        except Exception as e:
            logger.error(f"Failed to export IVR/Speech: {e}")

        elapsed_time = time.time() - start_time
        logger.info(f"Export complete. Elapsed time: {elapsed_time:.2f} seconds")
        logger.info(f"Files saved to: {self.output_dir.absolute()}")

Complete Working Example

The following is the complete, copy-pasteable Python script. Ensure you have set the environment variables GENESYS_ENV_URL, GENESYS_CLIENT_ID, and GENESYS_CLIENT_SECRET.

import os
import time
import json
import httpx
import logging
from pathlib import Path
from typing import Dict, Optional, List, Any

# Configure Logging
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(levelname)s - %(message)s',
    handlers=[
        logging.FileHandler("export_log.txt"),
        logging.StreamHandler()
    ]
)
logger = logging.getLogger(__name__)

class GenesysAuth:
    def __init__(self, env_url: str, client_id: str, client_secret: str):
        self.env_url = env_url.rstrip('/')
        self.client_id = client_id
        self.client_secret = client_secret
        self.access_token: Optional[str] = None
        self.token_expiry: Optional[float] = None
        self.client = httpx.Client(
            base_url=self.env_url,
            timeout=30.0,
            headers={"Content-Type": "application/json"}
        )

    def _get_headers(self) -> Dict[str, str]:
        if not self.access_token or self._is_token_expired():
            self.refresh_token()
        return {
            "Authorization": f"Bearer {self.access_token}",
            "Content-Type": "application/json"
        }

    def _is_token_expired(self) -> bool:
        if self.token_expiry is None:
            return True
        return time.time() > self.token_expiry - 60

    def refresh_token(self) -> None:
        data = {
            "grant_type": "client_credentials",
            "client_id": self.client_id,
            "client_secret": self.client_secret
        }
        response = self.client.post("/oauth/token", data=data)
        if response.status_code != 200:
            raise Exception(f"Authentication failed: {response.text}")
        token_data = response.json()
        self.access_token = token_data.get("access_token")
        self.token_expiry = time.time() + token_data.get("expires_in", 3600)
        self.client.headers["Authorization"] = f"Bearer {self.access_token}"

    def get_headers(self) -> Dict[str, str]:
        return self._get_headers()

class ConfigExporter:
    def __init__(self, auth: GenesysAuth, output_dir: str):
        self.auth = auth
        self.output_dir = Path(output_dir)
        self.output_dir.mkdir(parents=True, exist_ok=True)

    def _make_request(self, method: str, path: str, params: dict = None) -> Any:
        headers = self.auth.get_headers()
        max_retries = 5
        retry_count = 0
        base_delay = 2.0

        while retry_count < max_retries:
            response = self.auth.client.request(method, path, headers=headers, params=params)
            
            if response.status_code == 429:
                retry_after = int(response.headers.get("Retry-After", base_delay * (2 ** retry_count)))
                logger.warning(f"Rate limited on {path}. Retrying in {retry_after}s...")
                time.sleep(retry_after)
                retry_count += 1
                continue
            
            if response.status_code >= 400:
                logger.error(f"Error fetching {path}: {response.status_code} - {response.text}")
                raise Exception(f"API Error on {path}: {response.status_code}")
            
            return response.json()
        
        raise Exception(f"Max retries exceeded for {path}")

    def _save_json(self, filename: str, data: Any) -> None:
        file_path = self.output_dir / filename
        with open(file_path, 'w', encoding='utf-8') as f:
            json.dump(data, f, indent=2, ensure_ascii=False)
        logger.info(f"Saved {filename}")

    def _fetch_all_pages(self, path: str, initial_params: dict = None) -> List[Any]:
        all_items = []
        page = 1
        page_size = 200
        
        params = {
            "page_size": page_size,
            "page_number": page
        }
        
        if initial_params:
            params.update(initial_params)

        while True:
            response = self._make_request("GET", path, params=params)
            
            if isinstance(response, dict):
                items = response.get("entities", [])
                next_page = response.get("next_page")
            else:
                items = response
                next_page = None
                break

            if not items:
                break
                
            all_items.extend(items)
            
            if not next_page or "next" not in next_page:
                break
                
            page += 1
            params["page_number"] = page
            time.sleep(0.1)

        return all_items

    def export_users(self) -> None:
        logger.info("Exporting Users...")
        users = self._fetch_all_pages("/api/v2/users")
        self._save_json("users.json", users)
        
        logger.info("Exporting Teams...")
        teams = self._fetch_all_pages("/api/v2/teams")
        self._save_json("teams.json", teams)
        
        logger.info("Exporting Roles...")
        roles = self._fetch_all_pages("/api/v2/authorization/roles")
        self._save_json("roles.json", roles)

    def export_queues(self) -> None:
        logger.info("Exporting Queues...")
        queues = self._fetch_all_pages("/api/v2/routing/queues")
        self._save_json("queues.json", queues)
        
        logger.info("Exporting Wrap-up Codes...")
        wrap_up_codes = self._fetch_all_pages("/api/v2/routing/wrapupcodes")
        self._save_json("wrap_up_codes.json", wrap_up_codes)

    def export_flows(self) -> None:
        logger.info("Exporting Flows...")
        flows = self._fetch_all_pages("/api/v2/flows")
        flow_details = []
        for flow in flows:
            flow_id = flow.get("id")
            flow_def = self._make_request("GET", f"/api/v2/flows/{flow_id}")
            flow_details.append(flow_def)
            versions = self._fetch_all_pages(f"/api/v2/flows/{flow_id}/versions")
            self._save_json(f"flows/{flow_id}_versions.json", versions)
        self._save_json("flows_definitions.json", flow_details)

    def export_ivr_and_speech(self) -> None:
        logger.info("Exporting IVR Configurations...")
        ivrs = self._fetch_all_pages("/api/v2/ivrs")
        self._save_json("ivrs.json", ivrs)

        logger.info("Exporting Speech Resources...")
        speech_resources = self._fetch_all_pages("/api/v2/speech/resources")
        self._save_json("speech_resources.json", speech_resources)
        
        analytics_configs = self._fetch_all_pages("/api/v2/speech/analytics/configs")
        self._save_json("speech_analytics_configs.json", analytics_configs)

    def run_full_export(self) -> None:
        logger.info("Starting Full Configuration Export...")
        start_time = time.time()
        
        try:
            self.export_users()
        except Exception as e:
            logger.error(f"Failed to export users: {e}")
            
        try:
            self.export_queues()
        except Exception as e:
            logger.error(f"Failed to export queues: {e}")
            
        try:
            self.export_flows()
        except Exception as e:
            logger.error(f"Failed to export flows: {e}")
            
        try:
            self.export_ivr_and_speech()
        except Exception as e:
            logger.error(f"Failed to export IVR/Speech: {e}")

        elapsed_time = time.time() - start_time
        logger.info(f"Export complete. Elapsed time: {elapsed_time:.2f} seconds")
        logger.info(f"Files saved to: {self.output_dir.absolute()}")

if __name__ == "__main__":
    # Load environment variables
    env_url = os.getenv("GENESYS_ENV_URL")
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")

    if not all([env_url, client_id, client_secret]):
        raise EnvironmentError("Missing required environment variables: GENESYS_ENV_URL, GENESYS_CLIENT_ID, GENESYS_CLIENT_SECRET")

    # Initialize Authentication
    auth = GenesysAuth(env_url, client_id, client_secret)
    
    # Initialize Exporter
    exporter = ConfigExporter(auth, "./genesys_dr_export")
    
    # Run Export
    exporter.run_full_export()

Common Errors & Debugging

Error: 401 Unauthorized

• What causes it: The OAuth token is invalid, expired, or the client credentials are incorrect.
• How to fix it: Verify the GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET in your environment variables. Ensure the client is enabled in the Genesys Cloud Admin Console. Check that the refresh_token method is being called correctly.
• Code Fix: The GenesysAuth class includes automatic refresh logic. If this persists, check the network connectivity to the oauth/token endpoint.

Error: 403 Forbidden

• What causes it: The OAuth client lacks the required scopes.
• How to fix it: Go to the Genesys Cloud Admin Console → Manage → Applications → OAuth. Select your client and ensure the following scopes are checked: organization:read, user:read, routing:read, flow:read, ivr:read, speechanalytics:read.
• Code Fix: No code change is required. The scopes are defined in the Admin Console.

Error: 429 Too Many Requests

• What causes it: The script is hitting API rate limits.
• How to fix it: The _make_request method includes exponential backoff. If errors persist, increase the base_delay or reduce the page_size in _fetch_all_pages.
• Code Fix: Adjust base_delay = 5.0 in _make_request if rate limiting is aggressive.

Error: 500 Internal Server Error

• What causes it: A temporary server-side issue in Genesys Cloud.
• How to fix it: Wait a few minutes and retry. The script will raise an exception, but you can restart it. It is safe to restart as it will overwrite existing files.
• Code Fix: No immediate fix. Monitor the Genesys Cloud Status Page for outages.

Official References

• Genesys Cloud API Documentation
• Genesys Cloud OAuth Scopes
• Genesys Cloud Python SDK