Resolving Null wrapUpCode Values in Genesys Cloud Analytics Detail Queries

How-To-Articles
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Resolving Null wrapUpCode Values in Genesys Cloud Analytics Detail Queries

What You Will Build

  • You will build a Python script that queries the Genesys Cloud Analytics API for conversation details and correctly extracts wrap-up codes, handling cases where the value is null due to data type mismatches or incomplete conversation states.
  • This tutorial uses the Genesys Cloud REST API v2 (/api/v2/analytics/conversations/details/query) and the Python requests library.
  • The programming language covered is Python 3.8+.

Prerequisites

  • OAuth Client: A Genesys Cloud OAuth client with the scope analytics:conversation:view.
  • SDK/API: Genesys Cloud API v2. No specific SDK is required for this tutorial; we will use raw HTTP requests via requests to demonstrate the exact JSON structure, which is often clearer for debugging schema issues than SDK wrappers.
  • Language/Runtime: Python 3.8 or higher.
  • Dependencies: requests and python-dotenv. Install them via pip:
    pip install requests python-dotenv
  • Data Availability: Ensure there are completed conversations in your Genesys Cloud organization that have associated wrap-up codes. Wrap-up codes are only populated after an agent has clicked “Wrap Up” or the conversation has been archived with a disposition.

Authentication Setup

Genesys Cloud uses OAuth 2.0. For server-to-server applications (like this analytics script), the Client Credentials Flow is the standard approach. You must store your Client ID and Client Secret securely.

Step 1: Obtain an Access Token

The following code demonstrates how to retrieve an access token using the Client Credentials flow.

import requests
import json
from typing import Optional

GENESYS_CLOUD_DOMAIN = "https://api.mypurecloud.com"
CLIENT_ID = "your_client_id_here"
CLIENT_SECRET = "your_client_secret_here"

def get_access_token() -> Optional[str]:
    """
    Retrieves an OAuth 2.0 access token using the Client Credentials flow.
    """
    url = f"{GENESYS_CLOUD_DOMAIN}/oauth/token"
    headers = {
        "Content-Type": "application/x-www-form-urlencoded"
    }
    data = {
        "grant_type": "client_credentials",
        "client_id": CLIENT_ID,
        "client_secret": CLIENT_SECRET
    }

    try:
        response = requests.post(url, headers=headers, data=data)
        response.raise_for_status()
        token_data = response.json()
        return token_data.get("access_token")
    except requests.exceptions.HTTPError as e:
        print(f"HTTP Error obtaining token: {e}")
        return None
    except requests.exceptions.RequestException as e:
        print(f"Network error obtaining token: {e}")
        return None

# Example usage
access_token = get_access_token()
if not access_token:
    raise SystemExit("Failed to obtain access token. Check credentials and network.")

Important Note on Scopes: If your client does not have the analytics:conversation:view scope, the API call in the next section will return a 403 Forbidden error. Verify your client permissions in the Genesys Cloud Admin Console under Admin > Security > OAuth.

Implementation

Step 1: Constructing the Analytics Detail Query

The endpoint /api/v2/analytics/conversations/details/query accepts a POST request with a JSON body containing a query object. This object includes interval, view, size, and select parameters.

The most common reason for receiving null for wrapUpCode is either:

  1. The select clause does not include the correct field path.
  2. The conversation has not been fully completed/wrapped up.
  3. The data type of the returned field is an object or array, not a simple string, and you are accessing it incorrectly.

The Correct Select Clause

To retrieve wrap-up codes, you must select the wrapupcode field from the interactions view. The correct path in the select array is ["wrapupcode"].

import time
from datetime import datetime, timedelta

def build_analytics_query() -> dict:
    """
    Constructs the JSON body for the analytics detail query.
    """
    # Define the time interval. Analytics data is not real-time; 
    # there is typically a 15-30 minute delay.
    end_time = datetime.utcnow()
    start_time = end_time - timedelta(hours=24)
    
    interval = f"{start_time.isoformat()}Z/{end_time.isoformat()}Z"

    query_body = {
        "interval": interval,
        "view": "interactions",
        "size": 100,  # Max size is 1000
        "select": [
            "id",
            "type",
            "startTime",
            "endTime",
            "duration",
            "wrapupcode",       # Critical: Ensure this is included
            "wrapupcode.id",    # Sometimes the ID is needed
            "wrapupcode.name",  # Sometimes the Name is needed
            "participants"      # To check agent status if needed
        ],
        "where": [
            {
                "path": "type",
                "operator": "in",
                "value": ["voice", "chat"]  # Adjust based on your needs
            }
        ]
    }
    return query_body

Step 2: Executing the Query and Handling Pagination

The Analytics API supports pagination via a nextPage token. You must handle this to ensure you are not missing data. Additionally, you must handle 429 Too Many Requests errors, which are common in analytics queries due to heavy database loads.

import time

def fetch_conversation_details(access_token: str, query_body: dict) -> list:
    """
    Fetches conversation details with retry logic for 429 errors and pagination.
    """
    url = f"{GENESYS_CLOUD_DOMAIN}/api/v2/anversations/details/query"
    headers = {
        "Authorization": f"Bearer {access_token}",
        "Content-Type": "application/json",
        "Accept": "application/json"
    }

    all_conversations = []
    next_page = None
    max_retries = 3

    while True:
        current_query = query_body.copy()
        if next_page:
            current_query["nextPage"] = next_page

        for attempt in range(max_retries):
            try:
                response = requests.post(url, headers=headers, json=current_query)
                
                # Handle 429 Too Many Requests
                if response.status_code == 429:
                    retry_after = int(response.headers.get("Retry-After", 5))
                    print(f"Rate limited (429). Waiting {retry_after} seconds...")
                    time.sleep(retry_after)
                    continue
                
                response.raise_for_status()
                break # Success, exit retry loop
                
            except requests.exceptions.HTTPError as e:
                if response.status_code == 429:
                    continue
                print(f"HTTP Error: {e}")
                return all_conversations
            except requests.exceptions.RequestException as e:
                print(f"Network error: {e}")
                return all_conversations

        data = response.json()
        
        # Extract conversations
        conversations = data.get("conversations", [])
        all_conversations.extend(conversations)

        # Check for pagination
        next_page = data.get("nextPage")
        if not next_page:
            break
            
        # Small delay to be respectful of API limits
        time.sleep(0.5)

    return all_conversations

Step 3: Processing Results and Diagnosing Null Values

This is the core of the troubleshooting process. When you receive the data, you must inspect the structure of wrapupcode.

Common Pitfall 1: The Field is an Object, Not a String
In many views, wrapupcode is returned as an object containing id, name, and code. If you expect a string and access conversation["wrapupcode"], you will get an object. If you then try to print it or treat it as a string, it may appear as “null” or “{}” in logs if not handled correctly.

Common Pitfall 2: The Conversation is Not Wrapped Up
If an agent leaves a conversation without clicking “Wrap Up,” or if the system auto-closes it, the wrapupcode field will be null. This is valid data, not an error.

Common Pitfall 3: Data Latency
Analytics data is not real-time. If you query for a conversation that ended 5 minutes ago, it might not appear, or its wrap-up code might not be populated yet.

def process_conversations(conversations: list) -> None:
    """
    Iterates through conversations and extracts wrap-up code information,
    handling null values and object structures.
    """
    for conv in conversations:
        conv_id = conv.get("id")
        conv_type = conv.get("type")
        
        # Check if wrapupcode exists
        wrapup_code_obj = conv.get("wrapupcode")
        
        if wrapup_code_obj is None:
            print(f"Conversation {conv_id} ({conv_type}): No wrap-up code set (null).")
            continue
            
        # Extract details from the object
        # Note: wrapupcode is typically an object with 'id', 'name', 'code'
        wrapup_name = wrapup_code_obj.get("name")
        wrapup_code_val = wrapup_code_obj.get("code")
        wrapup_id = wrapup_code_obj.get("id")
        
        print(f"Conversation {conv_id} ({conv_type}):")
        print(f"  Wrap-up ID: {wrapup_id}")
        print(f"  Wrap-up Name: {wrapup_name}")
        print(f"  Wrap-up Code: {wrapup_code_val}")
        print("-" * 50)

# Run the full flow
if __name__ == "__main__":
    token = get_access_token()
    if token:
        query = build_analytics_query()
        results = fetch_conversation_details(token, query)
        process_conversations(results)

Complete Working Example

Below is the complete, copy-pasteable Python script. Replace the CLIENT_ID, CLIENT_SECRET, and GENESYS_CLOUD_DOMAIN variables with your actual credentials.

import requests
import time
from datetime import datetime, timedelta
from typing import Optional, List, Dict, Any

# Configuration
GENESYS_CLOUD_DOMAIN = "https://api.mypurecloud.com"  # Change to your region
CLIENT_ID = "YOUR_CLIENT_ID"
CLIENT_SECRET = "YOUR_CLIENT_SECRET"

def get_access_token() -> Optional[str]:
    """
    Retrieves an OAuth 2.0 access token using the Client Credentials flow.
    """
    url = f"{GENESYS_CLOUD_DOMAIN}/oauth/token"
    headers = {
        "Content-Type": "application/x-www-form-urlencoded"
    }
    data = {
        "grant_type": "client_credentials",
        "client_id": CLIENT_ID,
        "client_secret": CLIENT_SECRET
    }

    try:
        response = requests.post(url, headers=headers, data=data)
        response.raise_for_status()
        token_data = response.json()
        return token_data.get("access_token")
    except requests.exceptions.HTTPError as e:
        print(f"HTTP Error obtaining token: {e}")
        return None
    except requests.exceptions.RequestException as e:
        print(f"Network error obtaining token: {e}")
        return None

def build_analytics_query() -> Dict[str, Any]:
    """
    Constructs the JSON body for the analytics detail query.
    """
    end_time = datetime.utcnow()
    start_time = end_time - timedelta(hours=24)
    
    interval = f"{start_time.isoformat()}Z/{end_time.isoformat()}Z"

    query_body = {
        "interval": interval,
        "view": "interactions",
        "size": 100,
        "select": [
            "id",
            "type",
            "startTime",
            "endTime",
            "duration",
            "wrapupcode",
            "wrapupcode.id",
            "wrapupcode.name",
            "wrapupcode.code",
            "participants"
        ],
        "where": [
            {
                "path": "type",
                "operator": "in",
                "value": ["voice", "chat", "callback"]
            }
        ]
    }
    return query_body

def fetch_conversation_details(access_token: str, query_body: Dict[str, Any]) -> List[Dict[str, Any]]:
    """
    Fetches conversation details with retry logic for 429 errors and pagination.
    """
    url = f"{GENESYS_CLOUD_DOMAIN}/api/v2/analytics/conversations/details/query"
    headers = {
        "Authorization": f"Bearer {access_token}",
        "Content-Type": "application/json",
        "Accept": "application/json"
    }

    all_conversations = []
    next_page = None
    max_retries = 3

    while True:
        current_query = query_body.copy()
        if next_page:
            current_query["nextPage"] = next_page

        for attempt in range(max_retries):
            try:
                response = requests.post(url, headers=headers, json=current_query)
                
                if response.status_code == 429:
                    retry_after = int(response.headers.get("Retry-After", 5))
                    print(f"Rate limited (429). Waiting {retry_after} seconds...")
                    time.sleep(retry_after)
                    continue
                
                response.raise_for_status()
                break 
                
            except requests.exceptions.HTTPError as e:
                if response.status_code == 429:
                    continue
                print(f"HTTP Error: {e}")
                return all_conversations
            except requests.exceptions.RequestException as e:
                print(f"Network error: {e}")
                return all_conversations

        data = response.json()
        conversations = data.get("conversations", [])
        all_conversations.extend(conversations)

        next_page = data.get("nextPage")
        if not next_page:
            break
            
        time.sleep(0.5)

    return all_conversations

def process_conversations(conversations: List[Dict[str, Any]]) -> None:
    """
    Iterates through conversations and extracts wrap-up code information.
    """
    if not conversations:
        print("No conversations found in the selected interval.")
        return

    for conv in conversations:
        conv_id = conv.get("id")
        conv_type = conv.get("type")
        
        wrapup_code_obj = conv.get("wrapupcode")
        
        if wrapup_code_obj is None:
            print(f"Conversation {conv_id} ({conv_type}): No wrap-up code set (null).")
            continue
            
        wrapup_name = wrapup_code_obj.get("name")
        wrapup_code_val = wrapup_code_obj.get("code")
        wrapup_id = wrapup_code_obj.get("id")
        
        print(f"Conversation {conv_id} ({conv_type}):")
        print(f"  Wrap-up ID: {wrapup_id}")
        print(f"  Wrap-up Name: {wrapup_name}")
        print(f"  Wrap-up Code: {wrapup_code_val}")
        print("-" * 50)

if __name__ == "__main__":
    token = get_access_token()
    if token:
        print("Token obtained successfully.")
        query = build_analytics_query()
        print(f"Querying analytics for interval: {query['interval']}")
        results = fetch_conversation_details(token, query)
        print(f"Total conversations retrieved: {len(results)}")
        process_conversations(results)
    else:
        print("Failed to obtain token. Exiting.")

Common Errors & Debugging

Error: 401 Unauthorized

Cause: The access token is invalid, expired, or missing.
Fix: Ensure your CLIENT_ID and CLIENT_SECRET are correct. Check that the OAuth client is active. If you are using a personal access token, ensure it has not expired.

Error: 403 Forbidden

Cause: The OAuth client does not have the required scope.
Fix: Go to Admin > Security > OAuth in the Genesys Cloud Admin Console. Select your client and ensure the analytics:conversation:view scope is checked. You may need to regenerate the client secret after changing scopes.

Error: 429 Too Many Requests

Cause: You have exceeded the API rate limit. Analytics endpoints have lower rate limits than other endpoints.
Fix: Implement exponential backoff. The code above includes a basic retry logic. For high-volume queries, consider increasing the size parameter (up to 1000) to reduce the number of requests.

Error: wrapupcode is null for completed conversations

Cause 1: Data Latency
Analytics data is not real-time. There is a processing delay of approximately 15-30 minutes. If you query a conversation that just ended, the wrap-up code may not be populated yet.
Fix: Query data from at least 30 minutes in the past.

Cause 2: Missing Select Field
If you do not include "wrapupcode" in the select array, the API will not return it.
Fix: Ensure "wrapupcode" is in the select list.

Cause 3: Conversation Not Wrapped Up
If an agent ends a conversation without selecting a wrap-up code, or if the system auto-wraps it without a code, the field will be null.
Fix: Check the conversation status in the Genesys Cloud UI. If the agent did not wrap up, this is expected behavior.

Cause 4: Incorrect View
If you are using the interactions view, ensure you are not filtering out conversations that have wrap-up codes.
Fix: Remove where clauses temporarily to see all conversations.

Official References