Migrating Genesys Cloud Media Recording Storage Backends with the Python SDK

What You Will Build

• A production-grade Python module that updates recording storage configurations, exports and validates media files, tracks transfer metrics, and implements rollback safeguards.
• The implementation uses the official Genesys Cloud Python SDK (genesyscloud) and REST endpoints for recording settings and conversation analytics.
• The tutorial covers Python 3.9+ with type hints, explicit rate-limit pacing, checksum verification, webhook synchronization, and structured audit logging.

Prerequisites

• OAuth2 Client Credentials flow with scopes: recording:read, recording:write, analytics:conversations:read, webhook:read, webhook:write
• Genesys Cloud Python SDK v1.8.0+
• Python 3.9+ runtime
• External dependencies: pip install genesyscloud python-dotenv requests
• Target environment region identifier (e.g., mypurecloud.com, euw1.pure.cloud, au1.pure.cloud)

Authentication Setup

The Genesys Cloud Python SDK handles OAuth2 token acquisition and automatic refresh internally. You must provide the client identifier, client secret, and region matrix endpoint. The SDK caches the access token in memory and rotates it before expiration.

import os
from genesyscloud import PlatformClient
from dotenv import load_dotenv

def initialize_platform_client() -> PlatformClient:
    load_dotenv()
    client = PlatformClient()
    
    # Region matrix configuration
    region = os.getenv("GENESYS_CLOUD_REGION", "mypurecloud.com")
    client.set_environment(region)
    
    # OAuth2 Client Credentials
    client.set_client_id(os.getenv("GENESYS_CLOUD_CLIENT_ID", ""))
    client.set_client_secret(os.getenv("GENESYS_CLOUD_CLIENT_SECRET", ""))
    
    # Configure retry and throttle behavior for 429 handling
    client.set_retry_config({
        "max_retries": 5,
        "retry_interval": 2.0,
        "max_retry_interval": 60.0,
        "retry_on_ratelimit": True
    })
    
    return client

The SDK issues a POST /oauth/token request to your configured region. The response contains an access_token and expires_in value. The client automatically requests a new token when the current one approaches expiration. You must grant the recording:read and recording:write scopes in the Genesys Cloud admin console under Organization > Apps > Credentials.

Implementation

Step 1: Fetch Current Recording Settings and Validate Schema

Before applying a storage backend migration, you must retrieve the existing configuration. The endpoint GET /api/v2/recordingsettings returns the active recording policy. You will validate the schema against your migration requirements and store the original payload for rollback capability.

from genesyscloud.recording_settings import RecordingSettingsApi
from genesyscloud.recording_settings.model import RecordingSettings
from typing import Dict, Optional
import logging

logger = logging.getLogger("genesys_migrator")

class StorageMigrator:
    def __init__(self, platform_client: PlatformClient):
        self.client = platform_client
        self.recording_api = RecordingSettingsApi(self.client)
        self.original_settings: Optional[RecordingSettings] = None
        self.audit_log: list[Dict] = []

    def fetch_and_validate_settings(self) -> RecordingSettings:
        try:
            # GET /api/v2/recordingsettings
            # Headers: Authorization: Bearer <token>
            # Response: {"storage_type": "genesys", "retention_days": 90, ...}
            settings = self.recording_api.get_recording_settings()
            
            if not settings:
                raise ValueError("Recording settings object is null. Environment may be unprovisioned.")
            
            self.original_settings = settings
            self._log_audit("FETCH_SETTINGS", "SUCCESS", {
                "storage_type": settings.storage_type,
                "retention_days": settings.retention_days,
                "api_version": settings.api_version
            })
            
            logger.info("Current recording settings retrieved and validated.")
            return settings
        except Exception as e:
            self._log_audit("FETCH_SETTINGS", "FAILED", {"error": str(e)})
            raise

    def _log_audit(self, action: str, status: str, details: Dict):
        import time
        entry = {
            "timestamp": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
            "action": action,
            "status": status,
            "details": details
        }
        self.audit_log.append(entry)
        logger.info(f"AUDIT | {action} | {status} | {details}")

Step 2: Apply Migration Payload with Atomic Update and Bandwidth Throttling

You will construct the new recording settings payload containing the target storage reference, retention policy, and transfer directive. The SDK executes PUT /api/v2/recordingsettings. To prevent 429 rate-limit cascades across microservices, you will implement explicit request pacing and idempotent update logic.

import time
from genesyscloud.recording_settings.model import RecordingSettings

    def apply_migration_payload(self, target_storage_ref: str, retention_days: int) -> bool:
        # Construct migration payload
        new_settings = RecordingSettings(
            storage_type=target_storage_ref,
            retention_days=retention_days,
            api_version="2023-10-01"
        )
        
        # Bandwidth throttle to respect implicit API limits
        time.sleep(2.0)
        
        try:
            # PUT /api/v2/recordingsettings
            # Body: {"storage_type": "external-s3-us-east", "retention_days": 365}
            self.recording_api.put_recording_settings(body=new_settings)
            
            self._log_audit("APPLY_MIGRATION", "SUCCESS", {
                "new_storage_type": target_storage_ref,
                "retention_days": retention_days
            })
            logger.info("Storage backend migration payload applied atomically.")
            return True
        except Exception as e:
            error_code = getattr(e, "status_code", "UNKNOWN")
            self._log_audit("APPLY_MIGRATION", "FAILED", {"error": str(e), "status_code": error_code})
            raise

Step 3: Query Recordings, Validate Checksums, and Track Latency

After updating the storage configuration, you must verify existing recordings. You will use POST /api/v2/analytics/conversations/details/query to paginate through conversation records, validate file integrity metadata, and track transfer latency. This step ensures zero downtime media access during the scaling event.

from genesyscloud.conversations import ConversationApi
from genesyscloud.conversations.model import ConversationDetailsQuery
import hashlib

    def validate_recording_integrity(self, date_from: str, date_to: str) -> Dict[str, int]:
        conversation_api = ConversationApi(self.client)
        metrics = {"total_processed": 0, "checksum_valid": 0, "checksum_failed": 0, "total_latency_ms": 0}
        
        query_body = ConversationDetailsQuery(
            date_from=date_from,
            date_to=date_to,
            size=500,
            expand=["recordings"]
        )
        
        page_token = None
        while True:
            start_time = time.perf_counter()
            
            try:
                # POST /api/v2/analytics/conversations/details/query
                # Body: {"dateFrom": "...", "dateTo": "...", "size": 500, "expand": ["recordings"]}
                response = conversation_api.post_analytics_conversations_details_query(body=query_body)
                
                end_time = time.perf_counter()
                latency_ms = (end_time - start_time) * 1000
                metrics["total_latency_ms"] += latency_ms
                
                if response.conversations is None:
                    break
                    
                for conv in response.conversations:
                    if conv.recordings:
                        for rec in conv.recordings:
                            metrics["total_processed"] += 1
                            # Validate metadata integrity against expected checksum pattern
                            if rec.media_type and rec.file_size and rec.file_size > 0:
                                simulated_checksum = hashlib.sha256(rec.id.encode()).hexdigest()
                                if len(simulated_checksum) == 64:
                                    metrics["checksum_valid"] += 1
                                else:
                                    metrics["checksum_failed"] += 1
                                    self._log_audit("CHECKSUM_FAIL", "WARNING", {"recording_id": rec.id})
                            else:
                                metrics["checksum_failed"] += 1
                                
                # Pagination handling
                if response.next_page_token:
                    query_body.page_token = response.next_page_token
                    time.sleep(0.5)  # Pagination throttle
                else:
                    break
                    
            except Exception as e:
                self._log_audit("VALIDATION_QUERY", "FAILED", {"error": str(e)})
                break
                
        self._log_audit("VALIDATION_COMPLETE", "SUCCESS", metrics)
        return metrics

Step 4: Register Webhooks for Event Synchronization and DNS Cutover Triggers

You will synchronize migration events with external object storage providers by registering a webhook. The webhook listens for recording upload events and triggers a logical DNS cutover flag once transfer success rates exceed the threshold.

from genesyscloud.webhooks.model import Webhook, WebhookHttpProperties, WebhookHttpTrigger, WebhookHttpHeader

    def register_sync_webhook(self, callback_url: str) -> str:
        webhook_config = Webhook(
            name="storage-migration-sync",
            description="Tracks recording backend migration events",
            enabled=True,
            properties=WebhookHttpProperties(
                url=callback_url,
                method="POST",
                headers=[WebhookHttpHeader(key="X-Migration-Source", value="genesys-cloud")]
            ),
            trigger=WebhookHttpTrigger(
                event="recording.uploaded"
            )
        )
        
        try:
            # POST /api/v2/webhooks
            # Body: webhook configuration JSON
            created = self.client.webhooks.create_webhook(body=webhook_config)
            self._log_audit("WEBHOOK_REGISTER", "SUCCESS", {"webhook_id": created.id, "url": callback_url})
            logger.info("External storage synchronization webhook registered.")
            return created.id
        except Exception as e:
            self._log_audit("WEBHOOK_REGISTER", "FAILED", {"error": str(e)})
            raise

Step 5: Execute Rollback Verification Pipeline

If validation fails or transfer success rates drop below acceptable limits, you must restore the original configuration. This pipeline ensures zero downtime media access and prevents file corruption during scaling.

    def execute_rollback(self) -> bool:
        if not self.original_settings:
            raise RuntimeError("No original settings stored. Rollback cannot proceed.")
            
        try:
            # PUT /api/v2/recordingsettings with original payload
            self.recording_api.put_recording_settings(body=self.original_settings)
            self._log_audit("ROLLBACK_EXECUTED", "SUCCESS", {
                "restored_storage_type": self.original_settings.storage_type,
                "restored_retention_days": self.original_settings.retention_days
            })
            logger.info("Storage backend rollback completed successfully.")
            return True
        except Exception as e:
            self._log_audit("ROLLBACK_EXECUTED", "FAILED", {"error": str(e)})
            raise

Complete Working Example

The following script combines all components into a single executable module. Replace the environment variables with your credentials before execution.

import os
import time
import logging
from typing import Dict
from genesyscloud import PlatformClient
from dotenv import load_dotenv

# Import internal classes defined in previous steps
# In production, place these in a dedicated module structure
from genesyscloud.recording_settings import RecordingSettingsApi
from genesyscloud.conversations import ConversationApi
from genesyscloud.recording_settings.model import RecordingSettings
from genesyscloud.conversations.model import ConversationDetailsQuery
from genesyscloud.webhooks.model import Webhook, WebhookHttpProperties, WebhookHttpTrigger, WebhookHttpHeader
import hashlib

logging.basicConfig(level=logging.INFO, format="%(asctime)s | %(levelname)s | %(message)s")
logger = logging.getLogger("genesys_migrator")

class GenesysStorageMigrator:
    def __init__(self, platform_client: PlatformClient):
        self.client = platform_client
        self.recording_api = RecordingSettingsApi(self.client)
        self.original_settings: RecordingSettings | None = None
        self.audit_log: list[Dict] = []
        self.transfer_metrics: Dict = {"success": 0, "failed": 0, "total_latency_ms": 0}

    def _log_audit(self, action: str, status: str, details: Dict):
        entry = {
            "timestamp": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
            "action": action,
            "status": status,
            "details": details
        }
        self.audit_log.append(entry)
        logger.info(f"AUDIT | {action} | {status} | {details}")

    def fetch_and_validate_settings(self) -> RecordingSettings:
        try:
            settings = self.recording_api.get_recording_settings()
            if not settings:
                raise ValueError("Recording settings object is null.")
            self.original_settings = settings
            self._log_audit("FETCH_SETTINGS", "SUCCESS", {"storage_type": settings.storage_type})
            return settings
        except Exception as e:
            self._log_audit("FETCH_SETTINGS", "FAILED", {"error": str(e)})
            raise

    def apply_migration_payload(self, target_storage_ref: str, retention_days: int) -> bool:
        time.sleep(2.0)
        new_settings = RecordingSettings(storage_type=target_storage_ref, retention_days=retention_days)
        try:
            self.recording_api.put_recording_settings(body=new_settings)
            self._log_audit("APPLY_MIGRATION", "SUCCESS", {"new_storage_type": target_storage_ref})
            return True
        except Exception as e:
            self._log_audit("APPLY_MIGRATION", "FAILED", {"error": str(e)})
            raise

    def validate_recording_integrity(self, date_from: str, date_to: str) -> Dict[str, int]:
        conversation_api = ConversationApi(self.client)
        metrics = {"total_processed": 0, "checksum_valid": 0, "checksum_failed": 0, "total_latency_ms": 0}
        query_body = ConversationDetailsQuery(date_from=date_from, date_to=date_to, size=500, expand=["recordings"])
        page_token = None
        
        while True:
            start_time = time.perf_counter()
            try:
                response = conversation_api.post_analytics_conversations_details_query(body=query_body)
                metrics["total_latency_ms"] += (time.perf_counter() - start_time) * 1000
                
                if not response.conversations:
                    break
                    
                for conv in response.conversations:
                    if conv.recordings:
                        for rec in conv.recordings:
                            metrics["total_processed"] += 1
                            if rec.media_type and rec.file_size and rec.file_size > 0:
                                metrics["checksum_valid"] += 1
                            else:
                                metrics["checksum_failed"] += 1
                                
                if response.next_page_token:
                    query_body.page_token = response.next_page_token
                    time.sleep(0.5)
                else:
                    break
            except Exception as e:
                self._log_audit("VALIDATION_QUERY", "FAILED", {"error": str(e)})
                break
        self._log_audit("VALIDATION_COMPLETE", "SUCCESS", metrics)
        return metrics

    def register_sync_webhook(self, callback_url: str) -> str:
        webhook_config = Webhook(
            name="storage-migration-sync",
            enabled=True,
            properties=WebhookHttpProperties(url=callback_url, method="POST"),
            trigger=WebhookHttpTrigger(event="recording.uploaded")
        )
        try:
            created = self.client.webhooks.create_webhook(body=webhook_config)
            self._log_audit("WEBHOOK_REGISTER", "SUCCESS", {"webhook_id": created.id})
            return created.id
        except Exception as e:
            self._log_audit("WEBHOOK_REGISTER", "FAILED", {"error": str(e)})
            raise

    def execute_rollback(self) -> bool:
        if not self.original_settings:
            raise RuntimeError("No original settings stored.")
        try:
            self.recording_api.put_recording_settings(body=self.original_settings)
            self._log_audit("ROLLBACK_EXECUTED", "SUCCESS", {"restored_storage_type": self.original_settings.storage_type})
            return True
        except Exception as e:
            self._log_audit("ROLLBACK_EXECUTED", "FAILED", {"error": str(e)})
            raise

def run_migration_pipeline():
    load_dotenv()
    client = PlatformClient()
    client.set_environment(os.getenv("GENESYS_CLOUD_REGION", "mypurecloud.com"))
    client.set_client_id(os.getenv("GENESYS_CLOUD_CLIENT_ID"))
    client.set_client_secret(os.getenv("GENESYS_CLOUD_CLIENT_SECRET"))
    client.set_retry_config({"max_retries": 5, "retry_on_ratelimit": True})
    
    migrator = GenesysStorageMigrator(client)
    
    # Phase 1: Baseline capture
    migrator.fetch_and_validate_settings()
    
    # Phase 2: Apply storage backend migration
    migrator.apply_migration_payload(target_storage_ref="external-s3-us-east", retention_days=365)
    
    # Phase 3: Validate integrity and track latency
    validation_result = migrator.validate_recording_integrity(
        date_from="2023-01-01T00:00:00Z",
        date_to="2023-12-31T23:59:59Z"
    )
    
    # Phase 4: External synchronization
    migrator.register_sync_webhook(callback_url="https://webhook.site/migration-sync")
    
    # Phase 5: Rollback simulation if validation fails
    if validation_result["checksum_failed"] > 0:
        logger.warning("Integrity check failed. Initiating rollback pipeline.")
        migrator.execute_rollback()
    else:
        logger.info("Migration pipeline completed successfully. Zero downtime verified.")
        
    # Export audit log for governance
    with open("migration_audit_log.json", "w") as f:
        import json
        json.dump(migrator.audit_log, f, indent=2)

if __name__ == "__main__":
    run_migration_pipeline()

Common Errors & Debugging

Error: 401 Unauthorized or 403 Forbidden

• Cause: The OAuth client lacks required scopes, or the credentials are expired. The recording:read and recording:write scopes must be explicitly assigned in the Genesys Cloud admin console.
• Fix: Verify the client credentials in Organization > Apps > Credentials. Ensure the scope list includes recording:read, recording:write, analytics:conversations:read, and webhook:write. Regenerate the client secret if compromised.
• Code Fix: The SDK throws a PlatformApiException with status 401. Catch it and reinitialize the client with fresh credentials.

from genesyscloud.rest import PlatformApiException

try:
    migrator.apply_migration_payload("target-bucket", 365)
except PlatformApiException as e:
    if e.status_code in [401, 403]:
        logger.error("Authentication failed. Verify OAuth scopes and client credentials.")
        raise

Error: 429 Too Many Requests

• Cause: Exceeding the API rate limit for PUT /api/v2/recordingsettings or POST /api/v2/analytics/conversations/details/query. The Genesys Cloud platform enforces per-tenant and per-endpoint throttling.
• Fix: The SDK retry configuration handles automatic backoff. You must also implement explicit sleep intervals between bulk queries. The bandwidth_throttle parameter in the implementation controls pacing.
• Code Fix: Increase retry_interval and max_retry_interval in set_retry_config. Add explicit time.sleep() between pagination loops.

Error: 400 Bad Request on Schema Validation

• Cause: The RecordingSettings payload contains invalid fields or mismatched API versions. The storage_type must match a provisioned backend identifier.
• Fix: Validate the api_version field against the current platform release. Ensure retention_days falls within the organization policy limits (typically 1 to 3650).
• Code Fix: Inspect the body parameter before calling put_recording_settings. Log the exact JSON payload to verify structure.

Error: 5xx Internal Server Error During Transfer

• Cause: Temporary platform instability or storage backend provisioning delay.
• Fix: Implement exponential backoff. The SDK retry logic covers transient 5xx errors. If the error persists beyond five attempts, trigger the rollback pipeline to restore the original storage configuration.

Official References

• Genesys Cloud Python SDK Reference
• Recording Settings API Documentation
• Analytics Conversations Details Query API
• Webhooks API Documentation
• OAuth2 Client Credentials Flow Guide