Distributing Genesys Cloud Survey Post-Call Forms via the Python SDK

What You Will Build

• A production-grade Python service that validates, dispatches, and tracks Genesys Cloud survey distributions using the Survey API.
• The implementation uses the genesyscloud Python SDK to construct distribute payloads, enforce response windows, verify contact consent, and synchronize delivery events via webhooks.
• The code is written in Python 3.9+ with type hints, exponential backoff retry logic, structured audit logging, and explicit error handling.

Prerequisites

• OAuth Client Type: Client Credentials Flow (Machine-to-Machine)
• Required Scopes: survey:survey:write, survey:survey:read, consent:consent:read, platform:events:subscribe, platform:audit:read
• SDK Version: genesyscloud>=2.135.0
• Runtime: Python 3.9 or higher
• Dependencies: genesyscloud, requests, pydantic[email], python-dotenv

Authentication Setup

The Genesys Cloud Platform requires OAuth2 bearer tokens for all API calls. The following code demonstrates a robust token acquisition and caching mechanism using the client credentials flow. The cache prevents unnecessary token requests and handles automatic refresh before expiration.

import os
import time
import requests
from typing import Optional
from dotenv import load_dotenv

load_dotenv()

class TokenCache:
    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.rstrip("/")
        self.token: Optional[str] = None
        self.expires_at: float = 0.0

    def get_token(self) -> str:
        if self.token and time.time() < self.expires_at - 60:
            return self.token

        url = f"{self.base_url}/oauth/token"
        payload = {
            "grant_type": "client_credentials",
            "client_id": self.client_id,
            "client_secret": self.client_secret,
            "scope": "survey:survey:write survey:survey:read consent:consent:read platform:events:subscribe platform:audit:read"
        }

        response = requests.post(url, data=payload)
        response.raise_for_status()

        data = response.json()
        self.token = data["access_token"]
        self.expires_at = time.time() + data["expires_in"]
        return self.token

Initialize the cache before SDK instantiation. The genesyscloud SDK accepts a pre-authenticated token or handles credentials internally. Passing the cached token explicitly gives you control over rate-limit cascades and token lifecycle.

from genesyscloud.platform_client_v2 import PureCloudPlatformClientV2

def init_sdk() -> PureCloudPlatformClientV2:
    cache = TokenCache(
        client_id=os.getenv("GENESYS_CLIENT_ID"),
        client_secret=os.getenv("GENESYS_CLIENT_SECRET"),
        base_url=os.getenv("GENESYS_BASE_URL", "https://api.mypurecloud.com")
    )
    token = cache.get_token()
    
    client = PureCloudPlatformClientV2()
    client.set_access_token(token)
    return client

Implementation

Step 1: Construct and Validate the Distribute Payload

The distribute payload must include recipient addresses, a delivery channel directive, a response window limit, and interaction identifiers. Before dispatch, validate the payload against survey engine constraints and verify contact consent to prevent deliverability failures.

import re
from genesyscloud.surveys_api import SurveysApi
from genesyscloud.consent_api import ConsentApi
from genesyscloud.models.post_survey_distribute_request_body import PostSurveyDistributeRequestBody
from genesyscloud.models.survey_distribute_recipient import SurveyDistributeRecipient
from genesyscloud.platform_client_v2.api_client import ApiClient
from typing import List, Dict, Any

def validate_email(email: str) -> bool:
    pattern = r"^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$"
    return bool(re.match(pattern, email))

def check_consent(client: PureCloudPlatformClientV2, contact_id: str) -> bool:
    consent_api = ConsentApi(client)
    try:
        response = consent_api.get_consent_contact(contact_id)
        return response.consent_status == "opted_in"
    except ApiClient.ApiException as e:
        if e.status == 404:
            return False
        raise

def build_distribute_payload(
    client: PureCloudPlatformClientV2,
    survey_id: str,
    interaction_uuid: str,
    emails: List[str],
    response_window_minutes: int,
    contact_id: str
) -> PostSurveyDistributeRequestBody:
    # Validate response window against Genesys Cloud constraints (1-10080 minutes)
    if not 1 <= response_window_minutes <= 10080:
        raise ValueError("Response window must be between 1 and 10080 minutes.")

    # Verify contact consent
    if not check_consent(client, contact_id):
        raise PermissionError(f"Contact {contact_id} has not opted in for survey distribution.")

    # Validate and construct recipients
    valid_recipients: List[SurveyDistributeRecipient] = []
    for email in emails:
        if not validate_email(email):
            continue
        valid_recipients.append(SurveyDistributeRecipient(email=email))

    if not valid_recipients:
        raise ValueError("No valid email addresses provided for distribution.")

    # Construct the distribute body with interaction UUID reference
    payload = PostSurveyDistributeRequestBody(
        recipients=valid_recipients,
        delivery_channel="email",
        response_window_minutes=response_window_minutes,
        custom_attributes={
            "interaction_uuid": interaction_uuid,
            "source_system": "automated_survey_distributor"
        }
    )
    return payload

This step enforces schema validation, checks consent status via the Consent API, and attaches the interaction UUID to custom attributes for downstream analytics correlation.

Step 2: Atomic POST Dispatch with Retry and Format Verification

Survey distribution requires an atomic POST operation. The Genesys Cloud API returns HTTP 429 when rate limits are exceeded. Implement exponential backoff with jitter to prevent cascade failures during high-volume scaling.

import time
import random
from genesyscloud.surveys_api import SurveysApi
from genesyscloud.platform_client_v2.api_client import ApiClient

def distribute_survey_with_retry(
    client: PureCloudPlatformClientV2,
    survey_id: str,
    payload: PostSurveyDistributeRequestBody,
    max_retries: int = 4
) -> Dict[str, Any]:
    surveys_api = SurveysApi(client)
    attempt = 0

    while attempt < max_retries:
        try:
            response = surveys_api.post_survey_distribute(
                survey_id=survey_id,
                body=payload
            )
            
            # Verify format and status
            if response.status_code != 200:
                raise ValueError(f"Distribution returned unexpected status: {response.status_code}")
            
            return {
                "success": True,
                "distribution_id": response.distribution_id,
                "status": response.status,
                "message": "Survey dispatched successfully."
            }

        except ApiClient.ApiException as e:
            if e.status == 429:
                wait_time = (2 ** attempt) + random.uniform(0, 1)
                print(f"Rate limited (429). Retrying in {wait_time:.2f} seconds...")
                time.sleep(wait_time)
                attempt += 1
            elif e.status == 400:
                raise ValueError(f"Bad request payload: {e.body}")
            elif e.status == 403:
                raise PermissionError("Insufficient OAuth scopes for survey distribution.")
            else:
                raise

    raise RuntimeError("Max retries exceeded for survey distribution.")

The retry loop handles 429 responses explicitly. All other 4xx and 5xx errors propagate immediately to prevent silent failures. The response includes the distribution_id for tracking.

Step 3: Webhook Subscription and Event Synchronization

Synchronize distribution events with external analytics platforms by subscribing to Genesys Cloud platform events. The subscription listens for survey distribution lifecycle events and forwards them to a callback endpoint.

from genesyscloud.platform_events_api import PlatformEventsApi
from genesyscloud.models.post_subscription_request import PostSubscriptionRequest
from genesyscloud.models.webhook import Webhook
from genesyscloud.models.webhook_header import WebhookHeader
from genesyscloud.models.webhook_secret import WebhookSecret

def subscribe_to_survey_events(
    client: PureCloudPlatformClientV2,
    webhook_url: str,
    secret: str
) -> str:
    events_api = PlatformEventsApi(client)
    
    webhook_config = Webhook(
        url=webhook_url,
        headers=[WebhookHeader(key="Content-Type", value="application/json")],
        secret=WebhookSecret(secret=secret)
    )

    subscription_body = PostSubscriptionRequest(
        name="Survey Distribution Tracker",
        webhook=webhook_config,
        event_types=["survey:distribution:created", "survey:distribution:completed"],
        is_active=True
    )

    try:
        response = events_api.post_platform_events_subscription(body=subscription_body)
        return response.id
    except ApiClient.ApiException as e:
        if e.status == 409:
            print("Subscription already exists. Retrieving existing ID.")
            # In production, query existing subscriptions by name to return the ID
            return "existing_subscription_id"
        raise

This subscription captures distribution creation and completion events. The webhook secret enables HMAC validation on the receiving end to prevent spoofed callbacks.

Step 4: Latency Tracking, Audit Logging, and Automation Wrapper

Wrap the distribution logic in a reusable class that tracks latency, generates structured audit logs, and exposes a clean interface for automated survey management. The audit log records platform actions and application-level metrics.

import json
import time
import logging
from datetime import datetime, timezone
from typing import Dict, Any

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

class SurveyDistributor:
    def __init__(self, client: PureCloudPlatformClientV2):
        self.client = client
        self.audit_log_path = "survey_distribution_audit.jsonl"

    def log_audit_event(self, event_type: str, payload: Dict[str, Any], latency_ms: float) -> None:
        audit_entry = {
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "event_type": event_type,
            "latency_ms": latency_ms,
            "payload": payload
        }
        with open(self.audit_log_path, "a", encoding="utf-8") as f:
            f.write(json.dumps(audit_entry) + "\n")
        logger.info(f"Audit logged: {event_type} | Latency: {latency_ms:.2f}ms")

    def distribute(
        self,
        survey_id: str,
        interaction_uuid: str,
        emails: list[str],
        response_window_minutes: int,
        contact_id: str
    ) -> Dict[str, Any]:
        start_time = time.perf_counter()
        
        try:
            payload = build_distribute_payload(
                self.client, survey_id, interaction_uuid, emails, response_window_minutes, contact_id
            )
            
            result = distribute_survey_with_retry(self.client, survey_id, payload)
            
            latency_ms = (time.perf_counter() - start_time) * 1000
            self.log_audit_event("SURVEY_DISTRIBUTION_SUCCESS", {
                "survey_id": survey_id,
                "distribution_id": result.get("distribution_id"),
                "recipient_count": len(emails)
            }, latency_ms)
            
            return result

        except Exception as e:
            latency_ms = (time.perf_counter() - start_time) * 1000
            self.log_audit_event("SURVEY_DISTRIBUTION_FAILURE", {
                "survey_id": survey_id,
                "error_type": type(e).__name__,
                "error_message": str(e)
            }, latency_ms)
            raise

The SurveyDistributor class encapsulates validation, dispatch, retry, and audit logging. Latency is measured using time.perf_counter for microsecond precision. Audit logs are written in JSON Lines format for easy ingestion by external analytics platforms.

Complete Working Example

The following script demonstrates end-to-end survey distribution with authentication, validation, dispatch, webhook subscription, and audit tracking. Replace the environment variables with your Genesys Cloud credentials.

import os
from dotenv import load_dotenv
from genesyscloud.platform_client_v2 import PureCloudPlatformClientV2
from genesyscloud.auth import ClientCredentialsAuth

load_dotenv()

def main():
    # 1. Initialize SDK with cached token
    cache = TokenCache(
        client_id=os.getenv("GENESYS_CLIENT_ID"),
        client_secret=os.getenv("GENESYS_CLIENT_SECRET"),
        base_url=os.getenv("GENESYS_BASE_URL", "https://api.mypurecloud.com")
    )
    token = cache.get_token()
    client = PureCloudPlatformClientV2()
    client.set_access_token(token)

    # 2. Subscribe to distribution events
    webhook_url = os.getenv("WEBHOOK_URL", "https://your-analytics-platform.com/webhooks/genesys")
    secret = os.getenv("WEBHOOK_SECRET", "default-secret")
    subscribe_to_survey_events(client, webhook_url, secret)

    # 3. Initialize distributor
    distributor = SurveyDistributor(client)

    # 4. Execute distribution
    try:
        result = distributor.distribute(
            survey_id=os.getenv("SURVEY_ID"),
            interaction_uuid="a1b2c3d4-e5f6-7890-g1h2-i3j4k5l6m7n8",
            emails=["customer@example.com", "manager@example.com"],
            response_window_minutes=1440,
            contact_id="contact-12345"
        )
        print(f"Distribution completed: {result}")
    except Exception as e:
        print(f"Distribution failed: {e}")

if __name__ == "__main__":
    main()

This script runs as a standalone module. It authenticates, subscribes to platform events, validates consent and payload constraints, dispatches the survey with retry logic, and writes structured audit logs.

Common Errors and Debugging

Error: HTTP 401 Unauthorized

• Cause: Expired or invalid OAuth token, or missing survey:survey:write scope.
• Fix: Verify the client credentials have the required scopes. Ensure the token cache refreshes before expiration. Add explicit scope validation during initialization.
• Code Fix: Update the TokenCache scope string to include all required permissions. Check the token expiration timestamp before API calls.

Error: HTTP 403 Forbidden

• Cause: The OAuth client lacks survey distribution permissions, or the survey is archived/disabled.
• Fix: Assign the Survey Administrator or Survey Manager role to the OAuth client. Verify the survey status is active before distribution.
• Code Fix: Query survey metadata using SurveysApi.get_survey(survey_id) and check status == "active" before building the payload.

Error: HTTP 429 Too Many Requests

• Cause: Exceeded Genesys Cloud rate limits during bulk distribution.
• Fix: The retry logic in distribute_survey_with_retry handles this automatically. Implement request queuing if distributing thousands of surveys concurrently.
• Code Fix: Increase max_retries or adjust backoff multipliers based on your deployment scale. Monitor Retry-After headers in production.

Error: Contact Consent Validation Failure

• Cause: The contact ID does not exist in the consent store, or the status is opted_out.
• Fix: Ensure the contact ID matches the format used in your CRM or consent database. Handle 404 responses gracefully by skipping distribution or triggering a consent re-engagement workflow.
• Code Fix: The check_consent function already handles 404 by returning False. Log these cases separately to track consent decay rates.

Official References

• Survey Distribute API Documentation
• Python SDK Reference
• Platform Events Subscription API
• Consent Management API
• OAuth2 Client Credentials Flow