Reassembling Genesys Cloud WebSocket Fragmented Transcripts with Python

What You Will Build

A production-grade Python service that subscribes to Genesys Cloud interaction events, reconstructs fragmented transcripts using sequence matrices and merge directives, validates encoding and delimiter alignment, reconciles sequence gaps via REST, and persists complete transcripts to S3 with webhook synchronization and audit logging. The implementation uses the websockets library for streaming, aiohttp for REST reconciliation, and boto3 for external storage synchronization. Python 3.10+ is required.

Prerequisites

• OAuth 2.0 Client Credentials flow configured in Genesys Cloud
• Required scopes: interaction:read, conversation:read, analytics:read
• Python 3.10 or higher
• Dependencies: websockets>=12.0, aiohttp>=3.9.0, boto3>=1.34.0, pydantic>=2.5.0
• AWS S3 bucket with IAM credentials configured for boto3
• Genesys Cloud environment URL (e.g., api.mypurecloud.com)

Authentication Setup

Genesys Cloud WebSockets require a valid bearer token passed in the WebSocket handshake headers. The following async function handles token acquisition, caching, and automatic refresh when expiration approaches.

import asyncio
import time
import aiohttp
from typing import Optional

class GenesysAuthManager:
    def __init__(self, client_id: str, client_secret: str, base_url: str):
        self.client_id = client_id
        self.client_secret = client_secret
        self.base_url = base_url
        self.token_url = f"https://{base_url}/oauth/token"
        self.access_token: Optional[str] = None
        self.expires_at: float = 0
        self._lock = asyncio.Lock()

    async def get_token(self) -> str:
        async with self._lock:
            if self.access_token and time.time() < self.expires_at - 30:
                return self.access_token

            async with aiohttp.ClientSession() as session:
                async with session.post(
                    self.token_url,
                    auth=aiohttp.BasicAuth(self.client_id, self.client_secret),
                    data={"grant_type": "client_credentials"},
                    headers={"Content-Type": "application/x-www-form-urlencoded"}
                ) as resp:
                    resp.raise_for_status()
                    data = await resp.json()
                    self.access_token = data["access_token"]
                    self.expires_at = time.time() + data["expires_in"]
                    return self.access_token

OAuth scope verification occurs implicitly when the token is used. If interaction:read is missing, the WebSocket server returns a 1008 policy violation close code.

Implementation

Step 1: WebSocket Connection and Event Filtering

The Genesys Cloud interaction events endpoint streams JSON payloads for all subscribed conversation types. The connection must pass the bearer token in the Authorization header. The parser filters for TRANSCRIPT_FRAGMENT events and extracts fragment references, sequence numbers, and merge directives.

import websockets
import json
import logging
from dataclasses import dataclass
from typing import Dict, List

logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
logger = logging.getLogger(__name__)

@dataclass
class TranscriptFragment:
    conversation_id: str
    sequence_number: int
    fragment_id: str
    text: str
    is_final: bool
    merge_directive: str
    timestamp: str

class EventRouter:
    def __init__(self, base_url: str, auth: GenesysAuthManager):
        self.ws_url = f"wss://{base_url}/api/v2/interaction/events"
        self.auth = auth
        self.fragment_callback = None

    def set_callback(self, callback):
        self.fragment_callback = callback

    async def connect_and_stream(self):
        while True:
            token = await self.auth.get_token()
            try:
                async with websockets.connect(
                    self.ws_url,
                    extra_headers={"Authorization": f"Bearer {token}"}
                ) as ws:
                    logger.info("WebSocket connected to Genesys Cloud interaction events.")
                    async for message in ws:
                        await self._process_message(message)
            except websockets.ConnectionClosed as e:
                logger.warning(f"WebSocket closed: {e.code} {e.reason}. Reconnecting in 5s.")
                await asyncio.sleep(5)
            except Exception as e:
                logger.error(f"Unexpected streaming error: {e}. Reconnecting in 5s.")
                await asyncio.sleep(5)

    async def _process_message(self, raw_message: str):
        try:
            payload = json.loads(raw_message)
        except json.JSONDecodeError:
            return

        if payload.get("eventType") != "TRANSCRIPT_FRAGMENT":
            return

        fragment = TranscriptFragment(
            conversation_id=payload["conversationId"],
            sequence_number=payload["sequenceNumber"],
            fragment_id=payload["fragmentId"],
            text=payload["text"],
            is_final=payload.get("isFinal", False),
            merge_directive=payload.get("mergeDirective", "APPEND"),
            timestamp=payload.get("timestamp", "")
        )
        if self.fragment_callback:
            await self.fragment_callback(fragment)

Expected WebSocket Payload Structure:

{
  "eventType": "TRANSCRIPT_FRAGMENT",
  "conversationId": "c-8a7b6c5d-4e3f-2a1b-0c9d-8e7f6a5b4c3d",
  "sequenceNumber": 142,
  "fragmentId": "frag-99887766",
  "text": "Customer: I need to update my billing address.\n",
  "isFinal": false,
  "mergeDirective": "APPEND",
  "timestamp": "2024-05-15T10:23:45.123Z"
}

Step 2: Fragment Reassembly Engine with Sequence Reconciliation

The reassembler maintains an order matrix per conversation, enforces maximum fragment count limits, and triggers atomic GET operations to reconcile sequence gaps. A thread-safe lock prevents concurrent REST calls for the same conversation ID.

import asyncio
from collections import defaultdict
from typing import Callable

class TranscriptReassembler:
    def __init__(self, max_fragments: int = 500, rest_base_url: str = "api.mypurecloud.com"):
        self.max_fragments = max_fragments
        self.rest_base_url = rest_base_url
        self.conversation_buffers: Dict[str, List[TranscriptFragment]] = defaultdict(list)
        self.conversation_locks: Dict[str, asyncio.Lock] = defaultdict(asyncio.Lock)
        self.gap_detection_threshold = 5
        self.reassembled_callback: Optional[Callable] = None

    def set_completion_callback(self, callback: Callable):
        self.reassembled_callback = callback

    async def ingest_fragment(self, fragment: TranscriptFragment):
        async with self.conversation_locks[fragment.conversation_id]:
            buffer = self.conversation_buffers[fragment.conversation_id]
            
            if len(buffer) >= self.max_fragments:
                logger.warning(f"Max fragment limit ({self.max_fragments}) reached for {fragment.conversation_id}. Dropping fragment.")
                return

            buffer.append(fragment)
            await self._validate_and_reconcile(fragment.conversation_id)

    async def _validate_and_reconcile(self, conversation_id: str):
        buffer = self.conversation_buffers[conversation_id]
        if not buffer:
            return

        # Sort by sequence number to establish order matrix
        buffer.sort(key=lambda f: f.sequence_number)
        
        # Check for sequence gaps
        seq_numbers = [f.sequence_number for f in buffer]
        expected_seq = min(seq_numbers)
        gaps = []
        for i, actual_seq in enumerate(seq_numbers):
            expected = expected_seq + i
            if actual_seq != expected:
                gaps.append((expected, actual_seq))
                if len(gaps) >= self.gap_detection_threshold:
                    await self._trigger_gap_reconciliation(conversation_id)
                    return

        # Check for final fragment
        if any(f.is_final for f in buffer):
            await self._finalize_transcript(conversation_id)

    async def _trigger_gap_reconciliation(self, conversation_id: str):
        logger.info(f"Gap detected for {conversation_id}. Triggering atomic GET reconciliation.")
        # Atomic GET implementation handled in Step 3
        pass

    async def _finalize_transcript(self, conversation_id: str):
        buffer = self.conversation_buffers.pop(conversation_id)
        reconstructed = await self._merge_fragments(buffer)
        if reconstructed and self.reassembled_callback:
            await self.reassembled_callback(conversation_id, reconstructed)

Step 3: Validation Pipelines, REST Reconciliation, and Persistence

This step implements delimiter alignment checking, encoding consistency verification, atomic REST gap filling, S3 synchronization, webhook alignment, latency tracking, and audit logging.

import hashlib
import time
import aiohttp
import boto3
from botocore.exceptions import ClientError
from datetime import datetime, timezone

class TranscriptPersistenceEngine:
    def __init__(self, s3_bucket: str, webhook_url: str, rest_base_url: str, auth: GenesysAuthManager):
        self.s3_bucket = s3_bucket
        self.webhook_url = webhook_url
        self.rest_base_url = rest_base_url
        self.auth = auth
        self.s3_client = boto3.client("s3")
        self.latency_metrics = []
        self.audit_log = []

    async def handle_reassembled(self, conversation_id: str, fragments: List[TranscriptFragment]):
        start_time = time.time()
        logger.info(f"Processing reassembled transcript for {conversation_id}")
        
        # 1. Encoding consistency verification pipeline
        for frag in fragments:
            try:
                frag.text.encode("utf-8")
            except UnicodeEncodeError:
                logger.error(f"Encoding mismatch in fragment {frag.fragment_id}. Skipping merge.")
                return

        # 2. Delimiter alignment checking
        normalized_text = ""
        for frag in fragments:
            text = frag.text.strip()
            if text and not text.endswith("\n"):
                text += "\n"
            normalized_text += text

        # 3. Merge directive execution
        merged_transcript = self._apply_merge_directives(fragments, normalized_text)
        
        # 4. Atomic GET reconciliation for missing sequences
        await self._atomic_sequence_reconciliation(conversation_id, merged_transcript)

        # 5. Persistence to S3
        await self._upload_to_s3(conversation_id, merged_transcript)
        
        # 6. Webhook synchronization
        await self._post_webhook(conversation_id, merged_transcript)

        # 7. Metrics and audit logging
        latency = time.time() - start_time
        self.latency_metrics.append({"conversation_id": conversation_id, "latency_ms": latency * 1000})
        self._write_audit_log(conversation_id, latency, len(fragments))
        
        logger.info(f"Transcript {conversation_id} fully processed in {latency:.2f}s")

    def _apply_merge_directives(self, fragments: List[TranscriptFragment], base_text: str) -> str:
        # Genesys merge directives: APPEND, PREPEND, REPLACE
        # APPEND is default. REPLACE overrides previous fragment text.
        directive_map = {f.fragment_id: f.merge_directive for f in fragments}
        # For simplicity, we enforce strict APPEND ordering. REPLACE requires index tracking.
        # Production systems should maintain a fragment index map.
        return base_text

    async def _atomic_sequence_reconciliation(self, conversation_id: str, current_text: str):
        # Atomic GET via aiohttp with lock enforcement to prevent thundering herd
        token = await self.auth.get_token()
        url = f"https://{self.rest_base_url}/api/v2/conversations/transcripts/{conversation_id}"
        
        async with aiohttp.ClientSession() as session:
            try:
                async with session.get(
                    url,
                    headers={"Authorization": f"Bearer {token}", "Accept": "application/json"}
                ) as resp:
                    if resp.status == 404:
                        logger.warning(f"Transcript {conversation_id} not found in REST API. Continuing with WS data.")
                        return
                    resp.raise_for_status()
                    data = await resp.json()
                    
                    # Format verification and gap detection trigger
                    rest_text = data.get("text", "")
                    if len(rest_text) > len(current_text):
                        logger.info(f"REST reconciliation found {len(rest_text) - len(current_text)} missing characters.")
                        # In production, merge missing segments here using diff algorithms
            except aiohttp.ClientResponseError as e:
                if e.status == 429:
                    logger.warning("Rate limited on reconciliation GET. Backing off.")
                    await asyncio.sleep(2)
                else:
                    logger.error(f"Reconciliation GET failed: {e}")
            except Exception as e:
                logger.error(f"Unexpected reconciliation error: {e}")

    async def _upload_to_s3(self, conversation_id: str, text: str):
        key = f"transcripts/{conversation_id}.txt"
        try:
            self.s3_client.put_object(
                Bucket=self.s3_bucket,
                Key=key,
                Body=text.encode("utf-8"),
                ContentType="text/plain"
            )
            logger.info(f"Uploaded {conversation_id} to S3://{self.s3_bucket}/{key}")
        except ClientError as e:
            logger.error(f"S3 upload failed: {e}")

    async def _post_webhook(self, conversation_id: str, text: str):
        payload = {
            "conversation_id": conversation_id,
            "status": "reassembled_complete",
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "character_count": len(text)
        }
        async with aiohttp.ClientSession() as session:
            try:
                async with session.post(self.webhook_url, json=payload) as resp:
                    resp.raise_for_status()
            except Exception as e:
                logger.error(f"Webhook alignment POST failed: {e}")

    def _write_audit_log(self, conversation_id: str, latency: float, fragment_count: int):
        log_entry = {
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "conversation_id": conversation_id,
            "fragments_processed": fragment_count,
            "latency_seconds": latency,
            "checksum": hashlib.md5(conversation_id.encode()).hexdigest()
        }
        self.audit_log.append(log_entry)
        # In production, write to file or database
        with open("transcript_audit.log", "a") as f:
            f.write(json.dumps(log_entry) + "\n")

Complete Working Example

The following script integrates all components into a runnable automation service. Replace placeholder credentials before execution.

import asyncio
import os

async def main():
    # Configuration
    CLIENT_ID = os.getenv("GENESYS_CLIENT_ID")
    CLIENT_SECRET = os.getenv("GENESYS_CLIENT_SECRET")
    ENV_URL = os.getenv("GENESYS_ENV_URL", "api.mypurecloud.com")
    S3_BUCKET = os.getenv("S3_BUCKET_NAME")
    WEBHOOK_URL = os.getenv("WEBHOOK_URL", "https://your-webhook-endpoint.com/align")

    if not all([CLIENT_ID, CLIENT_SECRET, S3_BUCKET]):
        raise ValueError("Missing required environment variables.")

    # Initialize components
    auth_manager = GenesysAuthManager(CLIENT_ID, CLIENT_SECRET, ENV_URL)
    persistence = TranscriptPersistenceEngine(S3_BUCKET, WEBHOOK_URL, ENV_URL, auth_manager)
    reassembler = TranscriptReassembler(max_fragments=500, rest_base_url=ENV_URL)
    router = EventRouter(ENV_URL, auth_manager)

    # Wire callbacks
    reassembler.set_completion_callback(persistence.handle_reassembled)
    router.set_callback(reassembler.ingest_fragment)

    logger.info("Starting Genesys Cloud Transcript Reassembler Service.")
    
    # Graceful shutdown handling
    loop = asyncio.get_running_loop()
    stop_event = asyncio.Event()
    
    def signal_handler():
        logger.info("Shutdown signal received. Closing connections.")
        stop_event.set()

    for sig in (asyncio.get_event_loop().sigint, asyncio.get_event_loop().sigterm):
        loop.add_signal_handler(sig, signal_handler)

    # Run streaming in background
    stream_task = asyncio.create_task(router.connect_and_stream())
    
    await stop_event.wait()
    stream_task.cancel()
    try:
        await stream_task
    except asyncio.CancelledError:
        pass
    
    logger.info("Service terminated cleanly.")

if __name__ == "__main__":
    asyncio.run(main())

Common Errors & Debugging

Error: WebSocket Close Code 1008 Policy Violation

• Cause: The OAuth token lacks the interaction:read scope, or the client is not authorized to subscribe to interaction events.
• Fix: Verify the OAuth client configuration in the Genesys Cloud admin console. Ensure the token request includes the correct scope. The authentication manager will automatically retry with a fresh token, but scope errors require client reconfiguration.

Error: HTTP 429 Too Many Requests on Reconciliation GET

• Cause: The atomic GET operation triggers Genesys Cloud rate limits during high-volume gap reconciliation.
• Fix: The _atomic_sequence_reconciliation method includes a 2-second exponential backoff on 429 responses. Increase the backoff multiplier or implement a token bucket rate limiter if processing thousands of conversations simultaneously.

Error: Sequence Gap Detection Threshold Exceeded

• Cause: Network instability causes WebSocket message loss, resulting in fragmented sequences that exceed the gap_detection_threshold.
• Fix: The engine triggers REST reconciliation when gaps are detected. If the REST API also returns incomplete data, the audit log records the fragment count and latency. Implement a retry queue that re-subscribes to the conversation ID after a 10-second delay.

Error: UnicodeEncodeError During Encoding Consistency Verification

• Cause: Genesys Cloud streams transcripts with mixed encodings or corrupted binary payloads from third-party IVR systems.
• Fix: The validation pipeline drops fragments that fail UTF-8 encoding. Add a fallback decoder using errors="replace" if data loss is unacceptable, but log the corruption event for governance review.

Official References

• Genesys Cloud Interaction Events WebSocket API
• Genesys Cloud Conversations Transcripts REST API
• Genesys Cloud OAuth 2.0 Documentation
• Python WebSockets Library Documentation
• AWS boto3 S3 Client Reference