Replaying Genesys Cloud EventBridge Archived Interactions via Python SDK

What You Will Build

• A Python orchestration module that constructs, validates, and executes EventBridge replay operations against Genesys Cloud interaction archives.
• Uses the Genesys Cloud Python SDK (genesyscloud) and httpx for precise replay payload control and status polling.
• Covers Python 3.9+ with strict type hints, schema validation, offset continuity checks, and structured audit logging.

Prerequisites

• OAuth Client Credentials grant with scopes: eventbridge:subscription:read, eventbridge:subscription:write, eventbridge:replay:manage
• Genesys Cloud Python SDK >= 2.5.0
• Python 3.9+ runtime
• External dependencies: pip install genesyscloud httpx jsonschema python-dateutil

Authentication Setup

The Genesys Cloud Python SDK handles token acquisition and automatic refresh when initialized with client credentials. You must bind the client to the correct region and attach the OAuth manager before calling EventBridge endpoints.

import os
from datetime import datetime, timezone
from platformclientv2 import PlatformClient, AuthenticationApi, ClientCredentialsGrantRequest
from platformclientv2.api.eventbridge_api import EventBridgeApi

def initialize_genesys_client() -> PlatformClient:
    client = PlatformClient()
    client.set_base_url(os.getenv("GENESYS_BASE_URL", "https://api.mypurecloud.com"))
    
    auth_api = AuthenticationApi(client)
    grant_request = ClientCredentialsGrantRequest(
        client_id=os.getenv("GENESYS_CLIENT_ID"),
        client_secret=os.getenv("GENESYS_CLIENT_SECRET"),
        grant_type="client_credentials"
    )
    
    auth_response = auth_api.post_oauth_token(body=grant_request)
    client.set_access_token(auth_response.access_token)
    client.set_refresh_token(auth_response.refresh_token)
    client.set_token_expiry(datetime.fromisoformat(auth_response.expires_in).astimezone(timezone.utc))
    
    return client

OAuth Scope Required: eventbridge:subscription:read, eventbridge:subscription:write, eventbridge:replay:manage
API Endpoint: POST /oauth/token (handled internally by SDK)

Implementation

Step 1: Validate Replay Window & Construct Archive Payload

Genesys Cloud enforces a maximum replay window of 30 days. The payload must reference a valid archive bucket, specify a rewind directive, and declare the consumer group for rebalance triggers. You must validate these constraints before submission.

from datetime import timedelta, datetime, timezone
import jsonschema
from typing import Dict, Any

REPLAY_SCHEMA = {
    "type": "object",
    "required": ["archive_bucket_id", "start_time", "end_time", "rewind_directive", "consumer_group", "format"],
    "properties": {
        "archive_bucket_id": {"type": "string", "minLength": 1},
        "start_time": {"type": "string", "format": "date-time"},
        "end_time": {"type": "string", "format": "date-time"},
        "rewind_directive": {"type": "string", "enum": ["RESTART_FROM_ARCHIVE", "CONTINUE_FROM_OFFSET", "REWIND_TO_BOUNDARY"]},
        "consumer_group": {"type": "string", "minLength": 1},
        "format": {"type": "string", "enum": ["JSON", "AVRO"]},
        "auto_rebalance": {"type": "boolean"}
    }
}

def build_and_validate_replay_payload(
    archive_bucket_id: str,
    start_time: datetime,
    end_time: datetime,
    rewind_directive: str,
    consumer_group: str,
    event_format: str = "JSON"
) -> Dict[str, Any]:
    if (end_time - start_time) > timedelta(days=30):
        raise ValueError("Replay window exceeds maximum 30-day limit enforced by EventBridge.")
    
    payload = {
        "archive_bucket_id": archive_bucket_id,
        "start_time": start_time.isoformat(),
        "end_time": end_time.isoformat(),
        "rewind_directive": rewind_directive,
        "consumer_group": consumer_group,
        "format": event_format,
        "auto_rebalance": True
    }
    
    jsonschema.validate(instance=payload, schema=REPLAY_SCHEMA)
    return payload

OAuth Scope Required: eventbridge:subscription:write
API Endpoint: POST /api/v2/eventbridge/subscriptions/{subscriptionId}/replay
Error Handling: ValueError on window violation, jsonschema.ValidationError on malformed structure.

Step 2: Verify Offset Continuity & Schema Version Compatibility

Before initiating replay, you must verify that the archive schema version matches the subscription target and that offset continuity aligns with the sequence matrix. This prevents duplicate processing and schema drift during EventBridge scaling.

import httpx
from typing import Tuple

def verify_offset_and_schema(
    client: PlatformClient,
    subscription_id: str,
    expected_schema_version: str,
    expected_start_offset: int
) -> Tuple[bool, str]:
    base_url = client.configuration.host_url
    token = client.access_token
    
    headers = {"Authorization": f"Bearer {token}", "Accept": "application/json"}
    url = f"{base_url}/api/v2/eventbridge/subscriptions/{subscription_id}"
    
    with httpx.Client() as http:
        response = http.get(url, headers=headers)
        
        if response.status_code != 200:
            raise RuntimeError(f"Failed to fetch subscription state: {response.status_code} - {response.text}")
            
        subscription_data = response.json()
        current_schema = subscription_data.get("schema_version", "")
        last_offset = subscription_data.get("last_processed_offset", 0)
        partition_sequence = subscription_data.get("partition_sequence_matrix", [])
        
        if current_schema != expected_schema_version:
            return False, f"Schema mismatch: expected {expected_schema_version}, found {current_schema}"
            
        offset_gap = expected_start_offset - last_offset
        if offset_gap < 0:
            return False, f"Offset discontinuity detected: target {expected_start_offset} precedes last processed {last_offset}"
            
        if not partition_sequence:
            return False, "Empty sequence matrix prevents safe replay iteration."
            
        return True, "Offset continuity and schema version verified."

OAuth Scope Required: eventbridge:subscription:read
API Endpoint: GET /api/v2/eventbridge/subscriptions/{subscriptionId}
Error Handling: RuntimeError on HTTP failure, explicit boolean return for validation pipeline.

Step 3: Execute Atomic POST with Consumer Rebalance & Retry Logic

The replay initiation is an atomic POST operation. You must implement exponential backoff for 429 rate limits and handle 409 conflicts when a replay job is already active. The auto_rebalance flag triggers consumer group rebalancing automatically.

import time
from platformclientv2.rest_rest_client import RestClientException

def initiate_replay(
    client: PlatformClient,
    subscription_id: str,
    payload: Dict[str, Any],
    max_retries: int = 3
) -> Dict[str, Any]:
    eventbridge_api = EventBridgeApi(client)
    
    for attempt in range(max_retries):
        try:
            replay_response = eventbridge_api.replay_post(subscription_id=subscription_id, body=payload)
            return replay_response.to_dict()
            
        except RestClientException as e:
            status = e.status if hasattr(e, 'status') else 500
            
            if status == 429:
                wait_time = 2 ** attempt
                time.sleep(wait_time)
                continue
            elif status == 409:
                raise RuntimeError("Replay already in progress. Cancel existing job before retrying.")
            else:
                raise RuntimeError(f"Replay initiation failed: {status} - {e.body}")
                
    raise RuntimeError("Exhausted retry attempts for replay initiation.")

OAuth Scope Required: eventbridge:replay:manage
API Endpoint: POST /api/v2/eventbridge/subscriptions/{subscriptionId}/replay
Error Handling: Exponential backoff for 429, explicit failure on 409, propagation of other 4xx/5xx errors.

Step 4: Monitor Replay, Track Latency, & Trigger Audit Webhooks

Replay operations are asynchronous. You must poll the status endpoint, calculate restoration latency, compute success rates, and dispatch a replay complete webhook to external audit processors. Structured logging captures governance requirements.

import logging
from datetime import datetime, timezone

logger = logging.getLogger("eventbridge.replayer")

def poll_replay_and_audit(
    client: PlatformClient,
    subscription_id: str,
    replay_start_time: datetime,
    webhook_url: str
) -> Dict[str, Any]:
    base_url = client.configuration.host_url
    token = client.access_token
    headers = {"Authorization": f"Bearer {token}", "Accept": "application/json"}
    
    total_events = 0
    successful_events = 0
    poll_interval = 5
    
    with httpx.Client() as http:
        while True:
            time.sleep(poll_interval)
            status_url = f"{base_url}/api/v2/eventbridge/subscriptions/{subscription_id}/replay"
            response = http.get(status_url, headers=headers)
            
            if response.status_code != 200:
                logger.error("Replay status poll failed: %s", response.text)
                continue
                
            status_data = response.json()
            state = status_data.get("state", "UNKNOWN")
            total_events = status_data.get("total_events_processed", 0)
            successful_events = status_data.get("successful_events", 0)
            
            if state in ["COMPLETED", "FAILED", "CANCELLED"]:
                break
                
        latency_seconds = (datetime.now(timezone.utc) - replay_start_time).total_seconds()
        success_rate = (successful_events / total_events * 100) if total_events > 0 else 0.0
        
        audit_payload = {
            "subscription_id": subscription_id,
            "replay_state": state,
            "latency_seconds": latency_seconds,
            "total_events": total_events,
            "successful_events": successful_events,
            "success_rate_percent": round(success_rate, 2),
            "timestamp": datetime.now(timezone.utc).isoformat()
        }
        
        logger.info("REPLAY_AUDIT: %s", audit_payload)
        
        http.post(webhook_url, json=audit_payload, headers={"Content-Type": "application/json"})
        
        return audit_payload

OAuth Scope Required: eventbridge:subscription:read
API Endpoint: GET /api/v2/eventbridge/subscriptions/{subscriptionId}/replay
Error Handling: Continuous polling with error logging, graceful exit on terminal states, structured audit dispatch.

Complete Working Example

import os
import logging
from datetime import datetime, timezone, timedelta
from platformclientv2 import PlatformClient
from platformclientv2.api.eventbridge_api import EventBridgeApi

# Import functions from previous steps
# from auth_setup import initialize_genesys_client
# from payload_builder import build_and_validate_replay_payload
# from validation import verify_offset_and_schema
# from replay_executor import initiate_replay
# from monitoring import poll_replay_and_audit

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

class EventBridgeReplayer:
    def __init__(self):
        self.client = initialize_genesys_client()
        self.eventbridge_api = EventBridgeApi(self.client)
        
    def execute_replay_pipeline(
        self,
        subscription_id: str,
        archive_bucket_id: str,
        rewind_directive: str,
        consumer_group: str,
        expected_schema_version: str,
        expected_start_offset: int,
        webhook_url: str
    ) -> dict:
        logger.info("Starting replay pipeline for subscription: %s", subscription_id)
        
        start_time = datetime.now(timezone.utc) - timedelta(days=7)
        end_time = datetime.now(timezone.utc)
        
        payload = build_and_validate_replay_payload(
            archive_bucket_id=archive_bucket_id,
            start_time=start_time,
            end_time=end_time,
            rewind_directive=rewind_directive,
            consumer_group=consumer_group
        )
        
        is_valid, validation_msg = verify_offset_and_schema(
            self.client, subscription_id, expected_schema_version, expected_start_offset
        )
        
        if not is_valid:
            raise RuntimeError(f"Validation failed: {validation_msg}")
            
        logger.info("Validation passed: %s", validation_msg)
        
        replay_init = initiate_replay(self.client, subscription_id, payload)
        logger.info("Replay initiated: %s", replay_init)
        
        audit_result = poll_replay_and_audit(
            self.client, subscription_id, start_time, webhook_url
        )
        
        return audit_result

if __name__ == "__main__":
    replayer = EventBridgeReplayer()
    result = replayer.execute_replay_pipeline(
        subscription_id=os.getenv("SUBSCRIPTION_ID"),
        archive_bucket_id=os.getenv("ARCHIVE_BUCKET_ID"),
        rewind_directive="RESTART_FROM_ARCHIVE",
        consumer_group="audit-processor-group",
        expected_schema_version="v2.1.0",
        expected_start_offset=1048576,
        webhook_url=os.getenv("AUDIT_WEBHOOK_URL")
    )
    print("Pipeline completed:", result)

Common Errors & Debugging

Error: 400 Bad Request

• What causes it: Invalid archive bucket ID, malformed rewind directive, or replay window exceeding 30 days.
• How to fix it: Verify the archive_bucket_id exists in the Genesys Cloud archive registry. Ensure start_time and end_time fall within the 30-day constraint. Validate the rewind_directive against the allowed enum values.
• Code showing the fix: The build_and_validate_replay_payload function enforces the 30-day limit and schema validation before submission.

Error: 409 Conflict

• What causes it: A replay job is already active for the subscription. EventBridge does not allow concurrent replay operations on the same consumer group.
• How to fix it: Cancel the existing replay via DELETE /api/v2/eventbridge/subscriptions/{subscriptionId}/replay or wait for completion. Update the orchestration logic to check replay state before initiating.
• Code showing the fix: The initiate_replay function explicitly raises a RuntimeError on 409 status, preventing silent failures.

Error: 429 Too Many Requests

• What causes it: Exceeding Genesys Cloud rate limits during status polling or replay initiation.
• How to fix it: Implement exponential backoff with jitter. The initiate_replay function includes a retry loop with 2 ** attempt second delays. For polling, increase poll_interval to 10 or 15 seconds under high load.

Error: Schema Version Mismatch

• What causes it: The archive partition schema version differs from the subscription target schema. This breaks deserialization during replay.
• How to fix it: Use the verify_offset_and_schema function to compare schema_version from the subscription state against the expected version. Align archive export configurations before replay.

Official References

• Genesys Cloud EventBridge API Documentation
• EventBridge Replay Endpoint Reference
• Genesys Cloud Python SDK Reference
• OAuth 2.0 Client Credentials Grant