Building a Custom Data Action for Genesys Cloud Architect

What You Will Build

• You will build a Python-based web service that acts as a custom Data Action in Genesys Cloud Architect.
• The service accepts a JSON payload from Architect, calls an external REST API, and returns a mapped JSON response.
• The tutorial covers Python (Flask), Genesys Cloud OAuth 2.0, and the Architect Data Action integration pattern.

Prerequisites

• Genesys Cloud Account: An admin or architect role to create API keys and configure Data Actions.
• External API Access: A public or private REST API endpoint to call (for this tutorial, we will use a mock JSON service).
• Python Environment: Python 3.9+ with pip.
• Dependencies: flask, requests, pyjwt (optional, for advanced security), python-dotenv.
• Architecture Knowledge: Understanding of how Data Actions function as HTTP POST endpoints within the Architect flow.

Authentication Setup

Genesys Cloud Architect Data Actions do not authenticate via OAuth tokens in the request header. Instead, they rely on API Key validation or IP allowlisting combined with a shared secret. For production systems, the recommended pattern is to include an Authorization header with a Bearer token or a custom header with a shared secret that your service validates.

For this tutorial, we will implement a simple shared secret validation mechanism. This mimics a lightweight API key approach.

First, install the required packages:

pip install flask requests python-dotenv

Create a .env file in your project root:

FLASK_APP=app.py
FLASK_ENV=development
SHARED_SECRET=your_super_secret_key_change_this_in_production
EXTERNAL_API_URL=https://jsonplaceholder.typicode.com/users

Implementation

Step 1: Define the Data Action Contract

Before writing code, you must define the input and output schema. Genesys Cloud Architect sends a specific JSON structure to your endpoint.

Input Payload Structure:
Architect sends a POST request with a body containing:

1. inputs: A dictionary of variables passed from the flow.
2. context: Metadata about the call (session ID, user ID, etc.).
3. settings: Configuration defined in the Architect UI (e.g., timeout, headers).

Output Payload Structure:
Your service must return a JSON object with:

1. outputs: A dictionary of variables to set in Architect.
2. errors: An optional list of error messages if the action failed.

Step 2: Build the Flask Service

Create app.py. This service will receive the Architect request, validate the secret, call the external API, and map the response.

import os
import requests
import logging
from flask import Flask, request, jsonify
from dotenv import load_dotenv

load_dotenv()

app = Flask(__name__)

# Configuration
SHARED_SECRET = os.getenv('SHARED_SECRET', 'default_secret')
EXTERNAL_API_URL = os.getenv('EXTERNAL_API_URL', 'https://jsonplaceholder.typicode.com/users')

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

@app.route('/data-action/user-lookup', methods=['POST'])
def user_lookup_action():
    """
    Handles the POST request from Genesys Cloud Architect.
    """
    try:
        # 1. Validate Security Header
        auth_header = request.headers.get('Authorization')
        if not auth_header or auth_header != f"Bearer {SHARED_SECRET}":
            logger.warning("Unauthorized access attempt")
            return jsonify({
                "errors": [{"message": "Invalid or missing authorization header."}]
            }), 401

        # 2. Parse Input from Architect
        data = request.json
        if not data:
            return jsonify({
                "errors": [{"message": "No JSON body provided."}]
            }), 400

        inputs = data.get('inputs', {})
        user_id = inputs.get('userId')

        if not user_id:
            return jsonify({
                "errors": [{"message": "Missing required input: userId."}]
            }), 400

        # 3. Call External REST API
        # We use the userId to query the external service
        # Note: jsonplaceholder uses /users/{id}
        external_url = f"{EXTERNAL_API_URL}/{user_id}"
        
        logger.info(f"Calling external API: {external_url}")
        
        # Set a timeout to prevent hanging Architect flows
        external_response = requests.get(external_url, timeout=5)
        
        # 4. Handle External API Errors
        if external_response.status_code == 404:
            return jsonify({
                "outputs": {
                    "userFound": False,
                    "userName": None,
                    "userEmail": None
                }
            }), 200
        
        if external_response.status_code != 200:
            logger.error(f"External API error: {external_response.status_code}")
            return jsonify({
                "errors": [{"message": f"External service returned status {external_response.status_code}."}]
            }), 502

        # 5. Map JSON Response to Architect Variables
        external_data = external_response.json()
        
        mapped_outputs = {
            "userFound": True,
            "userName": external_data.get('name'),
            "userEmail": external_data.get('email'),
            "userPhone": external_data.get('phone')
        }

        # 6. Return Success Response
        return jsonify({
            "outputs": mapped_outputs
        }), 200

    except requests.exceptions.Timeout:
        logger.error("External API call timed out")
        return jsonify({
            "errors": [{"message": "External API request timed out."}]
        }), 504
    except requests.exceptions.RequestException as e:
        logger.error(f"Network error: {str(e)}")
        return jsonify({
            "errors": [{"message": "Network error calling external service."}]
        }), 502
    except Exception as e:
        logger.error(f"Unexpected error: {str(e)}")
        return jsonify({
            "errors": [{"message": "Internal server error processing request."}]
        }), 500

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=5000)

Step 3: Expose the Service Locally for Testing

Architect cannot call localhost. You must expose your local Flask server to the public internet. The standard tool for this is ngrok.

1. Install ngrok.
2. Run ngrok against your Flask app:

ngrok http 5000

3. Copy the https forward URL (e.g., https://abc123.ngrok.io).
4. Your full Data Action URL will be: https://abc123.ngrok.io/data-action/user-lookup.

Step 4: Configure the Data Action in Genesys Cloud

You must register this endpoint in Genesys Cloud before you can use it in Architect.

1. Log in to the Genesys Cloud Admin portal.

2. Navigate to Admin > Integrations > Data Actions.

3. Click Add Data Action.

4. Fill in the details:

   • Name: User Lookup via External API
   • URL: https://abc123.ngrok.io/data-action/user-lookup (Replace with your ngrok URL)
   • Method: POST
   • Headers: Add a header named Authorization with value Bearer your_super_secret_key_change_this_in_production.
   • Timeout: Set to 5000 ms (5 seconds).

5. Define the Input Schema (JSON Schema):

   {
     "type": "object",
     "properties": {
       "userId": {
         "type": "string",
         "title": "User ID",
         "description": "The ID of the user to look up"
       }
     },
     "required": ["userId"]
   }
   

6. Define the Output Schema (JSON Schema):

   {
     "type": "object",
     "properties": {
       "userFound": {
         "type": "boolean",
         "title": "User Found"
       },
       "userName": {
         "type": "string",
         "title": "User Name"
       },
       "userEmail": {
         "type": "string",
         "title": "User Email"
       },
       "userPhone": {
         "type": "string",
         "title": "User Phone"
       }
     }
   }
   

7. Click Save.

Step 5: Use the Data Action in Architect

1. Open Architect.
2. Create a new flow or edit an existing one.
3. Drag the Data Action element onto the canvas.
4. Select the User Lookup via External API action you just created.
5. In the Inputs section:
   • Map userId to a variable. For testing, you can hardcode it to "1" (which exists in jsonplaceholder) or use a variable like {{contact.attributes.userId}}.
6. In the Outputs section:
   • Ensure userFound, userName, userEmail, and userPhone are checked to create local variables.
7. Add a Set Variable or Play Audio element after the Data Action to use the results.
   • Example: Play audio with text: Hello {{localVariables.userName}}.

Complete Working Example

The following is the complete app.py file ready for deployment. It includes robust error handling and logging.

import os
import requests
import logging
from flask import Flask, request, jsonify
from dotenv import load_dotenv

# Load environment variables
load_dotenv()

app = Flask(__name__)

# Configuration
SHARED_SECRET = os.getenv('SHARED_SECRET', 'default_secret')
EXTERNAL_API_URL = os.getenv('EXTERNAL_API_URL', 'https://jsonplaceholder.typicode.com/users')

# Configure logging to stdout for container compatibility
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)

@app.route('/data-action/user-lookup', methods=['POST'])
def user_lookup_action():
    """
    Genesys Cloud Architect Data Action endpoint.
    Accepts userId, queries external API, returns mapped user data.
    """
    try:
        # Security Check
        auth_header = request.headers.get('Authorization')
        expected_auth = f"Bearer {SHARED_SECRET}"
        
        if not auth_header or auth_header != expected_auth:
            logger.warning("Authentication failed for request from %s", request.remote_addr)
            return jsonify({
                "errors": [{"message": "Invalid credentials."}]
            }), 401

        # Parse Request Body
        data = request.json
        if not data:
            return jsonify({
                "errors": [{"message": "Missing JSON body."}]
            }), 400

        inputs = data.get('inputs', {})
        user_id = inputs.get('userId')

        if not user_id:
            return jsonify({
                "errors": [{"message": "Input 'userId' is required."}]
            }), 400

        # External API Call
        target_url = f"{EXTERNAL_API_URL}/{user_id}"
        logger.info("Fetching user data from %s", target_url)

        # Use a session for better performance if calling multiple endpoints
        with requests.Session() as session:
            response = session.get(target_url, timeout=5)

        # Handle HTTP Errors from External Service
        if response.status_code == 404:
            # Return success but indicate user not found
            return jsonify({
                "outputs": {
                    "userFound": False,
                    "userName": None,
                    "userEmail": None,
                    "userPhone": None
                }
            }), 200

        if response.status_code != 200:
            logger.error("External API returned status %s", response.status_code)
            return jsonify({
                "errors": [{"message": f"External service error: {response.status_code}"}]
            }), 502

        # Parse JSON
        try:
            external_data = response.json()
        except ValueError:
            logger.error("Invalid JSON response from external service")
            return jsonify({
                "errors": [{"message": "Invalid response format from external service."}]
            }), 502

        # Map to Architect Outputs
        outputs = {
            "userFound": True,
            "userName": external_data.get('name'),
            "userEmail": external_data.get('email'),
            "userPhone": external_data.get('phone')
        }

        return jsonify({
            "outputs": outputs
        }), 200

    except requests.exceptions.Timeout:
        logger.error("Request to external API timed out")
        return jsonify({
            "errors": [{"message": "External service timeout."}]
        }), 504
    except requests.exceptions.ConnectionError:
        logger.error("Connection error to external API")
        return jsonify({
            "errors": [{"message": "Unable to connect to external service."}]
        }), 502
    except Exception as e:
        logger.exception("Unexpected error in data action")
        return jsonify({
            "errors": [{"message": "Internal server error."}]
        }), 500

if __name__ == '__main__':
    port = int(os.getenv('PORT', 5000))
    app.run(host='0.0.0.0', port=port, debug=False)

Common Errors & Debugging

Error: 401 Unauthorized

Cause: The Authorization header in the Genesys Cloud Data Action configuration does not match the SHARED_SECRET in your environment variables.
Fix:

1. Check your .env file for typos.
2. Verify the header value in Admin > Integrations > Data Actions.
3. Ensure the header name is exactly Authorization.

Error: 504 Gateway Timeout

Cause: Your external API took longer than the timeout set in Genesys Cloud (default 5s) or your Flask app crashed.
Fix:

1. Increase the timeout in the Data Action configuration in Admin.
2. Check your Flask logs for requests.exceptions.Timeout.
3. Optimize the external API call or add caching.

Error: Input Variable Not Found

Cause: The variable mapped in Architect (e.g., userId) is null or undefined when the flow runs.
Fix:

1. In Architect, inspect the input mapping.
2. Use a Set Variable element before the Data Action to hardcode a test value (e.g., "1") to confirm the Data Action works.
3. Verify the variable name case sensitivity. Genesys Cloud variables are case-sensitive.

Error: JSON Parse Error

Cause: The external API returns non-JSON data (e.g., HTML error page).
Fix:

1. Add logging to print response.text when status is not 200.
2. Wrap response.json() in a try-except block as shown in the complete example.

Official References

• Genesys Cloud Data Actions Documentation
• Flask Quickstart
• Python Requests Documentation