Kondasamy Jayaraman Kondasamy

Google support ticket - https://www.googlecloudcommunity.com/gc/AI-ML/Pass-JWT-token-paramater-to-Google-Dialogflow/m-p/844505

Based on the Google support response, here's how you can implement this:

First, pass the JWT token to the chatbot when initializing it. You can do this through custom payload when initializing the messenger:

// Get JWT from localStorage
const jwt = localStorage.getItem('jwt');

Question

Can we build similar solution using GCP managed services? Can you please forward any reference or any example, we are considering few options for modernization? Solving Complex Ordering Challenges with Amazon SQS FIFO Queues

Answer

You can build a similar solution using GCP managed services. Here's how you can implement a similar message ordering solution using Google Cloud Platform services:

Using Cloud Pub/Sub with Ordering Keys

Cloud Pub/Sub is GCP's equivalent to AWS SQS
It supports message ordering using Ordering Keys (similar to SQS FIFO message groups)

To export an Elasticsearch (ES) index as a CSV file, you can follow these steps:

Use the Elasticsearch Scroll API to retrieve large amounts of data.
Process the retrieved data and format it as CSV.
Write the formatted data to a file.

Attaching the Python script that does this process.

To use this script:

	#!/usr/bin/env python3
	"""
	Convert Intercom S3 backup JSONL files to cleaned CSV.

	Intercom exports hourly conversation backups as JSONL files to S3. This script:

	1. CLEANUP: Removes zero-byte files from S3 (empty hourly exports)
	Usage: python convert_intercom_to_csv.py --delete-empty

	2. EXPORT: Converts all JSONL files to a single CSV with one row per conversation

	#!/bin/bash
	# Claude Code statusline - single line with left/right alignment
	# File: ~/.claude/statusline-command.sh
	# Add to ~/.claude/settings.json:
	# {
	# "statusLine": {
	# "type": "command",
	# "command": "/Users/you/.claude/statusline-command.sh"
	# }
	# }

	package main

	import (
	"context"
	"fmt"
	"log"
	"sync"

	"cloud.google.com/go/bigquery"
	"google.golang.org/api/option"

	class A
	class A2 extends A
	class B

	trait M[X]

	//
	// Upper Type Bound
	//
	def upperTypeBound[AA <: A](x: AA): A = x

	from collections import defaultdict

	list_of_dict = [{'mapKey': '1A', 'coInsurance': 70.00},
	{'mapKey': '2A', 'coInsurance': 50.00},
	{'mapKey': '1A', 'coInsurance': 25.00}]

	result_dict = defaultdict(list)

	for item in list_of_dict:
	result_dict[item['mapKey']].append(item['coInsurance'])

	/*
	* Function to extract sub array with 3 elements, which is of maximum product and ascending order
	*
	*/
	public static int[] subArrayWithMaxProduct(int[] inputArray)
	{
	int maxProduct = 0;
	int[] subArrayWithLargestProduct = new int[3];
	for (int i = 1; i < inputArray.length - 1; i++)
	{

	/*
	* Function to check if singly linked list is palindrome or not
	*/
	boolean isPalindrome(Node head)
	{
	slow_ptr = head; fast_ptr = head;
	Node prev_of_slow_ptr = head;
	Node midnode = null;
	boolean res = true;