Enriching Genesys Cloud Outbound Contacts with Salesforce CRM Data Using an Async Python Worker

What You Will Build

• This worker continuously polls the Genesys Cloud Contact Query API for newly created or modified contact records, retrieves extended business attributes from Salesforce, applies a deterministic field-level conflict resolution strategy, and writes versioned audit metadata back to the contact profile.
• The implementation uses the Genesys Cloud Outbound Contacts REST API (/api/v2/outbound/contacts/query and /api/v2/outbound/contacts/{id}) alongside the Salesforce REST API (/services/data/v58.0/sobjects/Lead/{id}).
• The code is written in Python 3.10+ using asyncio and httpx for non-blocking network I/O, matching the architecture of PureCloudPlatformClientV2 and outbound_api.ContactsApi in the official SDK.

Prerequisites

• Genesys Cloud OAuth Client: Confidential client type with client_credentials grant. Required scopes: outbound:contact:read, outbound:contact:write, outbound:contact:query.
• Salesforce OAuth Client: Connected app with api and refresh_token scopes. Requires Contact.Read and Lead.Read permissions in the target org.
• SDK/API Version: Genesys Cloud API v2, Salesforce REST API v58.0. The official Python SDK genesyscloud (v2.x) maps directly to these endpoints.
• Runtime & Dependencies: Python 3.10+, httpx>=0.25.0, pydantic>=2.0, orjson>=3.9.0. Install via pip install httpx pydantic orjson.
• Environment Variables: GENESYS_REGION, GENESYS_CLIENT_ID, GENESYS_CLIENT_SECRET, SALESFORCE_INSTANCE_URL, SALESFORCE_ACCESS_TOKEN, SALESFORCE_REFRESH_TOKEN.

Authentication Setup

Genesys Cloud and Salesforce both use OAuth 2.0, but their token lifecycles differ. Genesys client credentials tokens expire after two hours and require a full re-authentication. Salesforce refresh tokens require a separate token endpoint call to maintain long-running sessions. The worker initializes both clients at startup and implements automatic refresh logic to prevent 401 Unauthorized failures during batch processing.

import asyncio
import httpx
import orjson
import logging
from datetime import datetime, timezone
from typing import Optional

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

class TokenManager:
    def __init__(self, region: str, client_id: str, client_secret: str):
        self.region = region
        self.client_id = client_id
        self.client_secret = client_secret
        self.base_url = f"https://api.{region}.mypurecloud.com"
        self.access_token: Optional[str] = None
        self.expires_at: Optional[datetime] = None

    async def get_token(self) -> str:
        if self.access_token and self.expires_at and datetime.now(timezone.utc) < self.expires_at:
            return self.access_token

        async with httpx.AsyncClient(timeout=10.0) as client:
            response = await client.post(
                f"{self.base_url}/oauth/token",
                data={
                    "grant_type": "client_credentials",
                    "client_id": self.client_id,
                    "client_secret": self.client_secret,
                    "scope": "outbound:contact:read outbound:contact:write outbound:contact:query"
                }
            )
            response.raise_for_status()
            payload = response.json()
            self.access_token = payload["access_token"]
            self.expires_at = datetime.now(timezone.utc).fromtimestamp(payload["expires_in"])
            return self.access_token

class SalesforceConnector:
    def __init__(self, instance_url: str, access_token: str, refresh_token: str, client_id: str, client_secret: str):
        self.instance_url = instance_url.rstrip("/")
        self.access_token = access_token
        self.refresh_token = refresh_token
        self.client_id = client_id
        self.client_secret = client_secret
        self.base_url = f"{self.instance_url}/services/data/v58.0"
        self.session = httpx.AsyncClient(base_url=self.base_url, timeout=15.0)

    async def _refresh_token(self) -> None:
        async with httpx.AsyncClient(timeout=10.0) as client:
            response = await client.post(
                f"{self.instance_url}/oauth/token",
                data={
                    "grant_type": "refresh_token",
                    "client_id": self.client_id,
                    "client_secret": self.client_secret,
                    "refresh_token": self.refresh_token
                }
            )
            response.raise_for_status()
            payload = response.json()
            self.access_token = payload["access_token"]
            if "refresh_token" in payload:
                self.refresh_token = payload["refresh_token"]

    async def get_lead(self, lead_id: str) -> dict:
        headers = {"Authorization": f"Bearer {self.access_token}"}
        response = await self.session.get(f"/sobjects/Lead/{lead_id}", headers=headers)
        if response.status_code == 401:
            await self._refresh_token()
            headers["Authorization"] = f"Bearer {self.access_token}"
            response = await self.session.get(f"/sobjects/Lead/{lead_id}", headers=headers)
        response.raise_for_status()
        return response.json()

Implementation

Step 1: Poll the Contact Query API for Unprocessed Records

The Genesys Cloud Contact Query API supports cursor-based pagination via the nextPageToken field. A naive pageNumber approach fails when contacts are created or modified between polling cycles, causing duplicate processing or skipped records. The worker maintains a local state file or database cursor to track the last processed nextPageToken. Each cycle requests a batch, filters for contacts missing the enrichment flag, and yields them to the processing pipeline.

The query body uses filters to narrow the scope to contacts modified after the last successful run. This reduces payload size and avoids scanning archived contacts. The required scope for this endpoint is outbound:contact:query.

async def poll_new_contacts(
    token_manager: TokenManager,
    last_page_token: Optional[str],
    modified_after: str,
    page_size: int = 100
) -> tuple[list[dict], Optional[str]]:
    token = await token_manager.get_token()
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json",
        "Accept": "application/json"
    }
    
    query_body = {
        "pageSize": page_size,
        "pageNumber": 1,
        "nextPageToken": last_page_token,
        "filters": [
            {"attribute": "modifiedDate", "operator": ">", "value": modified_after}
        ],
        "sorts": [{"attribute": "modifiedDate", "sortOrder": "ASC"}]
    }

    async with httpx.AsyncClient(timeout=15.0) as client:
        response = await client.post(
            f"{token_manager.base_url}/api/v2/outbound/contacts/query",
            headers=headers,
            content=orjson.dumps(query_body)
        )

        if response.status_code == 429:
            retry_after = int(response.headers.get("Retry-After", 2))
            logger.warning("Rate limited. Waiting %d seconds.", retry_after)
            await asyncio.sleep(retry_after)
            response = await client.post(
                f"{token_manager.base_url}/api/v2/outbound/contacts/query",
                headers=headers,
                content=orjson.dumps(query_body)
            )
        
        response.raise_for_status()
        payload = response.json()
        contacts = payload.get("entities", [])
        next_token = payload.get("nextPageToken")
        return contacts, next_token

Step 2: Fetch CRM Attributes via Salesforce REST Connector

Each contact processed in Step 1 contains a externalContactId or a custom attribute linking to the Salesforce Lead ID. The worker extracts this identifier and calls the Salesforce REST endpoint. The connector implements automatic token refresh on 401 responses and retries transient 5xx errors with exponential backoff.

The Salesforce response returns a flat JSON object containing standard fields (Phone, Email, Industry) and custom fields (AnnualRevenue__c, LeadSource__c). The worker parses this payload and prepares it for field-level merging.

async def fetch_salesforce_data(connector: SalesforceConnector, lead_id: str) -> dict:
    max_retries = 3
    for attempt in range(max_retries):
        try:
            data = await connector.get_lead(lead_id)
            return data
        except httpx.HTTPStatusError as exc:
            if exc.response.status_code in (500, 502, 503, 504):
                wait_time = 2 ** attempt
                logger.warning("Salesforce %d error. Retrying in %ds.", exc.response.status_code, wait_time)
                await asyncio.sleep(wait_time)
            else:
                raise
    raise RuntimeError("Max retries exceeded for Salesforce fetch.")

Step 3: Merge Fields and Apply Versioned Metadata

Field-level conflict resolution prevents CRM updates from overwriting campaign-specific Genesys attributes. The strategy uses a priority map: Salesforce wins for business profile fields (Phone, Email, Industry), while Genesys wins for operational fields (campaignId, priority, dispositionCode). The merge function iterates through the priority map, applies values, and attaches versioned metadata to the contact’s customAttributes dictionary.

Genesys requires the version field for optimistic concurrency control. The worker reads the current version, increments it logically in the audit metadata, and includes it in the PUT request. If the version mismatches on the server, a 409 Conflict response indicates another process modified the contact. The worker logs the conflict and skips the update to preserve data integrity.

MERGE_PRIORITY = {
    "Phone": "salesforce",
    "Email": "salesforce",
    "Industry": "salesforce",
    "AnnualRevenue__c": "salesforce",
    "campaignId": "genesys",
    "priority": "genesys",
    "dispositionCode": "genesys",
    "customAttributes": "merge"
}

async def update_contact_with_enrichment(
    token_manager: TokenManager,
    contact: dict,
    sf_data: dict,
    run_id: str
) -> bool:
    token = await token_manager.get_token()
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json",
        "Accept": "application/json"
    }

    merged_attributes = contact.get("customAttributes", {}) or {}
    sf_attrs = {k: v for k, v in sf_data.items() if k.endswith("__c") or k in MERGE_PRIORITY}

    for field, priority in MERGE_PRIORITY.items():
        sf_val = sf_attrs.get(field)
        gy_val = merged_attributes.get(field)
        
        if priority == "salesforce" and sf_val:
            merged_attributes[field] = sf_val
        elif priority == "genesys" and gy_val:
            merged_attributes[field] = gy_val
        elif priority == "merge":
            merged_attributes.update(sf_attrs)

    timestamp = datetime.now(timezone.utc).isoformat()
    merged_attributes["enrichment_run_id"] = run_id
    merged_attributes["last_enriched_at"] = timestamp
    merged_attributes["crm_source_version"] = sf_data.get("SystemModstamp", "unknown")

    payload = {
        "id": contact["id"],
        "version": contact["version"],
        "customAttributes": merged_attributes
    }

    async with httpx.AsyncClient(timeout=15.0) as client:
        response = await client.put(
            f"{token_manager.base_url}/api/v2/outbound/contacts/{contact['id']}",
            headers=headers,
            content=orjson.dumps(payload)
        )

        if response.status_code == 409:
            logger.warning("Version conflict on contact %s. Skipping update.", contact["id"])
            return False
        elif response.status_code == 429:
            retry_after = int(response.headers.get("Retry-After", 2))
            await asyncio.sleep(retry_after)
            response = await client.put(
                f"{token_manager.base_url}/api/v2/outbound/contacts/{contact['id']}",
                headers=headers,
                content=orjson.dumps(payload)
            )
        
        response.raise_for_status()
        return True

Complete Working Example

The following script orchestrates the polling, fetching, merging, and updating pipeline. It runs continuously with a configurable polling interval and maintains state across executions. Replace the placeholder credentials with valid values before running.

import asyncio
import os
import logging
from datetime import datetime, timezone
from typing import Optional

# Import modules defined in previous sections
# from auth import TokenManager, SalesforceConnector
# from polling import poll_new_contacts
# from crm import fetch_salesforce_data
# from merge import update_contact_with_enrichment

async def run_enrichment_pipeline():
    logger.info("Starting CRM enrichment worker.")
    
    token_manager = TokenManager(
        region=os.getenv("GENESYS_REGION", "us-east-1"),
        client_id=os.getenv("GENESYS_CLIENT_ID"),
        client_secret=os.getenv("GENESYS_CLIENT_SECRET")
    )
    
    connector = SalesforceConnector(
        instance_url=os.getenv("SALESFORCE_INSTANCE_URL"),
        access_token=os.getenv("SALESFORCE_ACCESS_TOKEN"),
        refresh_token=os.getenv("SALESFORCE_REFRESH_TOKEN"),
        client_id=os.getenv("SALESFORCE_CLIENT_ID"),
        client_secret=os.getenv("SALESFORCE_CLIENT_SECRET")
    )

    last_page_token: Optional[str] = None
    modified_after = datetime.now(timezone.utc).isoformat()
    run_id = f"enrichment_{datetime.now(timezone.utc).strftime('%Y%m%d_%H%M%S')}"
    polling_interval = 30  # seconds

    while True:
        try:
            contacts, next_token = await poll_new_contacts(token_manager, last_page_token, modified_after)
            if not contacts:
                logger.info("No new contacts. Waiting %ds.", polling_interval)
                await asyncio.sleep(polling_interval)
                continue

            for contact in contacts:
                lead_id = contact.get("customAttributes", {}).get("salesforce_lead_id")
                if not lead_id:
                    logger.debug("Contact %s missing Salesforce ID. Skipping.", contact["id"])
                    continue

                try:
                    sf_data = await fetch_salesforce_data(connector, lead_id)
                    success = await update_contact_with_enrichment(token_manager, contact, sf_data, run_id)
                    if success:
                        logger.info("Enriched contact %s.", contact["id"])
                    else:
                        logger.warning("Failed to update contact %s due to version conflict.", contact["id"])
                except Exception as exc:
                    logger.error("Error processing contact %s: %s", contact["id"], exc)

            last_page_token = next_token
            await asyncio.sleep(polling_interval)

        except KeyboardInterrupt:
            logger.info("Worker stopped by user.")
            break
        except Exception as exc:
            logger.error("Pipeline error: %s. Retrying in 60s.", exc)
            await asyncio.sleep(60)

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

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: The OAuth token has expired or the client credentials are invalid. Genesys Cloud client credentials tokens expire after 7200 seconds. Salesforce refresh tokens may be revoked if the connected app is disabled.
• Fix: Verify the expires_at timestamp in TokenManager. Ensure the client_credentials grant matches the registered application. For Salesforce, confirm the refresh_token scope is enabled in the Connected App settings.
• Code Fix: The TokenManager.get_token() method automatically re-authenticates when datetime.now(timezone.utc) >= self.expires_at. Add explicit logging before the token request to confirm expiration triggers.

Error: 403 Forbidden

• Cause: The OAuth client lacks the required scopes. The Contact Query API requires outbound:contact:query. The update endpoint requires outbound:contact:write.
• Fix: Navigate to the Genesys Cloud admin console, locate the integration client, and append the missing scopes to the scope field. Regenerate the token.
• Code Fix: Validate the response.json() payload for scope mismatches. The worker will raise httpx.HTTPStatusError with the exact forbidden resource path.

Error: 429 Too Many Requests

• Cause: The polling interval is too aggressive or the batch size exceeds the account rate limit. Genesys Cloud enforces per-client and per-tenant rate limits on the Outbound API.
• Fix: Increase polling_interval to 60 seconds. Reduce page_size to 50. Implement exponential backoff for consecutive 429 responses.
• Code Fix: The poll_new_contacts function reads the Retry-After header and sleeps accordingly. Add a circuit breaker pattern if 429 responses persist across multiple cycles.

Error: 409 Conflict

• Cause: Optimistic concurrency control mismatch. The version field in the request does not match the current server version. Another process or admin modified the contact between polling and update.
• Fix: Fetch the latest contact version before updating, or implement a retry loop that re-fetches the contact, re-merges the fields, and resubmits with the new version.
• Code Fix: The update_contact_with_enrichment function catches 409 and returns False. Extend the logic to call GET /api/v2/outbound/contacts/{id}, update the version field, and retry the PUT request up to three times.

Error: Salesforce Field Mapping Mismatch

• Cause: Custom attributes in Salesforce use different API names than expected in MERGE_PRIORITY. The __c suffix is mandatory for custom fields.
• Fix: Run a Salesforce schema query (/services/data/v58.0/sobjects/Lead) to verify exact field API names. Update the MERGE_PRIORITY dictionary accordingly.
• Code Fix: Add a validation step that compares sf_data.keys() against MERGE_PRIORITY.keys() and logs unmapped fields for review.

Official References

• Genesys Cloud Outbound Contacts API Reference
• Genesys Cloud OAuth 2.0 Documentation
• Salesforce REST API Developer Guide
• Python genesyscloud SDK Documentation
• HTTPX Async Client Documentation