Managing Global Do Not Call Lists in Genesys Cloud Outbound with Python

What You Will Build

• This script aggregates phone numbers from multiple CSV files and an external REST endpoint, normalizes them, and deduplicates entries using Double Metaphone phonetic hashing.
• It uses the Genesys Cloud Python SDK (genesys-cloud-python-sdk) to interact with the Outbound DNC API surface.
• The implementation is written in Python 3.9+ and handles pagination, exponential backoff for rate limits, and granular opt-in/opt-out status mapping.

Prerequisites

• OAuth Client Type: Confidential Client (Client Credentials Flow)
• Required Scopes: outbound:dnclist:read, outbound:dnclist:write, outbound:dnclistcontact:read, outbound:dnclistcontact:write
• SDK Version: genesys-cloud-python-sdk v3.0.0 or later
• Runtime: Python 3.9+
• External Dependencies: phonetics, pandas, requests, tenacity

Install dependencies before running the script:

pip install genesys-cloud-python-sdk phonetics pandas requests tenacity

Authentication Setup

Genesys Cloud uses OAuth 2.0 client credentials flow for server-to-server integrations. The Python SDK handles token acquisition, caching, and automatic refresh when you initialize PureCloudPlatformClientV2. You must provide your environment domain, client ID, and client secret.

import os
from genesyscloud import PureCloudPlatformClientV2

def init_genesys_client() -> PureCloudPlatformClientV2:
    """
    Initializes the Genesys Cloud SDK client with environment configuration.
    Raises ValueError if required environment variables are missing.
    """
    domain = os.getenv("GENESYS_DOMAIN")
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")

    if not all([domain, client_id, client_secret]):
        raise ValueError("GENESYS_DOMAIN, GENESYS_CLIENT_ID, and GENESYS_CLIENT_SECRET must be set.")

    client = PureCloudPlatformClientV2()
    client.set_access_token_client(
        domain=domain,
        client_id=client_id,
        client_secret=client_secret
    )
    client.authenticate()
    return client

The SDK caches the access token in memory and automatically appends it to subsequent requests. You do not need to manually manage token expiration. The client raises genesyscloud.rest.ApiException with status 401 when credentials are invalid or scopes are insufficient.

Implementation

Step 1: Aggregate suppression lists from multiple sources

DNC data typically arrives from marketing platforms, legacy telephony systems, and manual opt-out forms. You must normalize phone numbers before processing. Genesys Cloud expects E.164 format without country codes in some legacy contexts, but the Outbound API accepts standard numeric strings. This step reads local CSV files and an external API, then strips formatting characters.

import re
import csv
import requests
import pandas as pd
from typing import List, Dict

def normalize_phone(raw_phone: str) -> str:
    """Strips all non-digit characters and returns a clean numeric string."""
    return re.sub(r"\D", "", str(raw_phone))

def load_csv_sources(file_paths: List[str]) -> List[Dict[str, str]]:
    """Reads multiple CSV files and extracts phone + status columns."""
    records = []
    for path in file_paths:
        df = pd.read_csv(path)
        for _, row in df.iterrows():
            phone = normalize_phone(row.get("phone_number", row.get("mobile", "")))
            status = str(row.get("status", "opt_out")).lower()
            if phone:
                records.append({"phone": phone, "source_status": status, "source": "csv"})
    return records

def fetch_external_source(url: str, headers: Dict[str, str]) -> List[Dict[str, str]]:
    """Pulls suppression data from an external REST endpoint."""
    response = requests.get(url, headers=headers, timeout=10)
    response.raise_for_status()
    data = response.json()
    records = []
    for item in data.get("contacts", []):
        phone = normalize_phone(item.get("telephone", ""))
        status = str(item.get("preference", "opt_out")).lower()
        if phone:
            records.append({"phone": phone, "source_status": status, "source": "api"})
    return records

def aggregate_sources(csv_paths: List[str], api_url: str, api_headers: Dict[str, str]) -> List[Dict[str, str]]:
    csv_records = load_csv_sources(csv_paths)
    api_records = fetch_external_source(api_url, api_headers)
    return csv_records + api_records

Step 2: Deduplicate entries using phonetic matching algorithms

Exact string matching fails when data contains typos, carrier formatting differences, or international dialing variations. Phonetic hashing reduces numbers to a common representation. Double Metaphone is standard for this use case because it handles consonant clusters and vowel drops consistently. You will hash each normalized phone number and retain only the first occurrence, preserving the highest priority status.

from phonetics import doublemetaphone
from typing import Dict, List

# Priority mapping: opt_out > do_not_call > opt_in > opt_out_opt_in
STATUS_PRIORITY = {
    "opt_out": 4,
    "do_not_call": 3,
    "opt_out_opt_in": 2,
    "opt_in": 1
}

def map_source_status_to_genesys(source_status: str) -> str:
    """Maps external status strings to Genesys Cloud DNC status values."""
    s = source_status.strip().lower()
    if "out" in s and "in" in s:
        return "opt_out_opt_in"
    if "out" in s:
        return "opt_out"
    if "call" in s or "dnc" in s:
        return "do_not_call"
    return "opt_in"

def deduplicate_phonetically(records: List[Dict[str, str]]) -> List[Dict[str, str]]:
    """
    Deduplicates phone numbers using Double Metaphone hashing.
    Retains the entry with the highest compliance priority.
    """
    phonetic_map: Dict[str, Dict[str, str]] = {}
    
    for record in records:
        phone = record["phone"]
        # Double Metaphone returns a tuple (primary, secondary). Use primary.
        phonetic_key = doublemetaphone(phone)[0]
        
        current_priority = STATUS_PRIORITY.get(record["source_status"], 0)
        
        if phonetic_key in phonetic_map:
            existing_priority = STATUS_PRIORITY.get(phonetic_map[phonetic_key]["source_status"], 0)
            if current_priority > existing_priority:
                phonetic_map[phonetic_key] = record
        else:
            phonetic_map[phonetic_key] = record
            
    return list(phonetic_map.values())

Step 3: Map granular opt-in/opt-out tracking to Genesys Cloud DNC status

Genesys Cloud DNC contacts require explicit status assignment. The dnc_status field determines routing behavior. You must convert your normalized records into DncContactRequest objects. The SDK model expects phone_number, dnc_status, and optional external_id for audit trails.

from genesyscloud.outbound.model import DncContactRequest

def build_dnc_requests(records: List[Dict[str, str]]) -> List[DncContactRequest]:
    """Converts deduplicated records into SDK DncContactRequest objects."""
    requests_list = []
    for idx, record in enumerate(records):
        genesys_status = map_source_status_to_genesys(record["source_status"])
        req = DncContactRequest(
            phone_number=record["phone"],
            dnc_status=genesys_status,
            external_id=f"dnc_agg_{idx}_{record['phone']}"
        )
        requests_list.append(req)
    return requests_list

Step 4: Update DNC configuration via API with pagination and retry logic

You will push the contact batch to a target DNC list. The API enforces rate limits on bulk operations. You must implement exponential backoff for 429 responses. You will also fetch existing contacts using pagination to avoid duplicate submissions and audit conflicts.

import time
import logging
from tenacity import retry, stop_after_attempt, wait_exponential, retry_if_exception_type
from genesyscloud.outbound.api import OutboundApi
from genesyscloud.rest import ApiException
from typing import Optional

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

@retry(
    stop=stop_after_attempt(5),
    wait=wait_exponential(multiplier=1, min=2, max=60),
    retry=retry_if_exception_type(ApiException),
    reraise=True
)
def api_call_with_retry(func, *args, **kwargs):
    """Wraps SDK calls to handle 429 rate limits automatically."""
    try:
        return func(*args, **kwargs)
    except ApiException as e:
        if e.status == 429:
            retry_after = int(e.headers.get("Retry-After", 10))
            logger.warning(f"Rate limited. Retrying after {retry_after} seconds.")
            time.sleep(retry_after)
            raise
        raise

def get_existing_dnc_contacts(outbound_api: OutboundApi, dnc_list_id: str) -> set:
    """Fetches all existing phone numbers in a DNC list using pagination."""
    existing_phones = set()
    page_number = 1
    page_size = 100
    
    while True:
        response = api_call_with_retry(
            outbound_api.get_outbound_dnc_list_contacts,
            dnc_list_id=dnc_list_id,
            page_size=page_size,
            page_number=page_number
        )
        if not response.entities:
            break
        for contact in response.entities:
            if contact.phone_number:
                existing_phones.add(contact.phone_number)
        if response.page_number >= response.page_count:
            break
        page_number += 1
    return existing_phones

def push_dnc_contacts(outbound_api: OutboundApi, dnc_list_id: str, contacts: List[DncContactRequest]) -> None:
    """
    Uploads contacts to the DNC list. Skips duplicates already present.
    Batches requests to avoid payload size limits.
    """
    existing = get_existing_dnc_contacts(outbound_api, dnc_list_id)
    new_contacts = [c for c in contacts if c.phone_number not in existing]
    
    if not new_contacts:
        logger.info("No new contacts to upload.")
        return

    logger.info(f"Uploading {len(new_contacts)} new contacts to DNC list {dnc_list_id}.")
    
    # Genesys Cloud accepts up to 500 contacts per POST request
    batch_size = 500
    for i in range(0, len(new_contacts), batch_size):
        batch = new_contacts[i:i+batch_size]
        try:
            api_call_with_retry(
                outbound_api.post_outbound_dnc_list_contacts,
                dnc_list_id=dnc_list_id,
                body=batch
            )
            logger.info(f"Successfully uploaded batch {i//batch_size + 1}.")
        except ApiException as e:
            logger.error(f"Failed to upload batch starting at index {i}. Status: {e.status}. Body: {e.body}")
            raise

Complete Working Example

The following script combines all components into a single executable module. Set the required environment variables before execution. Replace placeholder paths and URLs with your actual data sources.

import os
import logging
from typing import List, Dict
from genesyscloud import PureCloudPlatformClientV2
from genesyscloud.outbound.api import OutboundApi
from genesyscloud.rest import ApiException

# Import functions from previous steps
# In production, place these in a dedicated module
from your_dnc_module import (
    init_genesys_client,
    aggregate_sources,
    deduplicate_phonetically,
    build_dnc_requests,
    push_dnc_contacts
)

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

def main() -> None:
    # Configuration
    CSV_SOURCES = [
        "/data/marketing_suppressions.csv",
        "/data/legacy_telephony_dnc.csv"
    ]
    EXTERNAL_API_URL = "https://crm.example.com/api/v1/optouts"
    EXTERNAL_API_HEADERS = {
        "Authorization": "Bearer YOUR_EXTERNAL_TOKEN",
        "Content-Type": "application/json"
    }
    TARGET_DNC_LIST_ID = os.getenv("GENESYS_DNC_LIST_ID")
    
    if not TARGET_DNC_LIST_ID:
        raise ValueError("GENESYS_DNC_LIST_ID environment variable is required.")

    try:
        # 1. Initialize SDK
        client = init_genesys_client()
        outbound_api = OutboundApi(client)
        
        # 2. Aggregate sources
        logger.info("Aggregating suppression lists...")
        raw_records = aggregate_sources(CSV_SOURCES, EXTERNAL_API_URL, EXTERNAL_API_HEADERS)
        logger.info(f"Aggregated {len(raw_records)} raw records.")
        
        # 3. Deduplicate using phonetic hashing
        logger.info("Deduplicating records with phonetic matching...")
        clean_records = deduplicate_phonetically(raw_records)
        logger.info(f"Reduced to {len(clean_records)} unique records.")
        
        # 4. Map to Genesys Cloud models
        dnc_requests = build_dnc_requests(clean_records)
        
        # 5. Push to Genesys Cloud with retry and pagination logic
        push_dnc_contacts(outbound_api, TARGET_DNC_LIST_ID, dnc_requests)
        
        logger.info("DNC synchronization completed successfully.")
        
    except ApiException as e:
        logger.error(f"Genesys Cloud API error: {e.status} {e.reason} {e.body}")
        raise
    except Exception as e:
        logger.error(f"Unexpected error during DNC processing: {str(e)}")
        raise

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: Invalid client credentials, expired token cache, or missing outbound:dnclist:write scope.
• Fix: Verify GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET match a confidential client in the Genesys Cloud admin console. Confirm the OAuth client has the required Outbound DNC scopes. The SDK automatically refreshes tokens, but network timeouts during refresh can cause intermittent 401s. Wrap the client initialization in a try-except block and log the exact ApiException body.

Error: 403 Forbidden

• Cause: The authenticated user lacks permission to modify the target DNC list, or the list is locked by a campaign.
• Fix: Assign the outbound:dnclist:write role to the OAuth client or the associated user. Verify the DNC list is not referenced by an active campaign with strict compliance locks. Use GET /api/v2/outbound/dnc/lists/{id} to inspect the locked property.

Error: 429 Too Many Requests

• Cause: Bulk contact uploads exceed the platform rate limit. DNC endpoints enforce strict throttling to prevent queue saturation.
• Fix: The tenacity decorator in Step 4 handles this automatically. If you see repeated 429s, reduce the batch_size from 500 to 250. Add a static time.sleep(1) between batches to smooth request velocity. Monitor the Retry-After header in the response.

Error: 400 Bad Request (Invalid Phone Format)

• Cause: Phone numbers contain special characters, exceed length limits, or lack proper digit sequences.
• Fix: Ensure normalize_phone() runs before SDK model construction. Genesys Cloud accepts numeric strings up to 20 digits. Validate with if not phone.isdigit() or len(phone) > 20: continue. Log rejected numbers to a separate audit file for manual review.

Error: Pagination Timeout or Memory Overflow

• Cause: Fetching existing contacts from a DNC list with millions of entries blocks the main thread.
• Fix: Increase page_size to the maximum allowed (usually 500 or 1000). Process existing phones incrementally instead of loading all into a set. If the list exceeds 500k contacts, use the /api/v2/outbound/dnc/lists/{id}/contacts/export endpoint to download a CSV, then parse it locally.

Official References

• Genesys Cloud Outbound DNC API Documentation
• Python SDK Reference
• OAuth Scopes Reference
• Double Metaphone Algorithm Specification