Kabir Tamari kabir0st

GTM Purchase Tracking Implementation

Overview

This document outlines the implementation of Google Tag Manager (GTM) purchase tracking for the Booksmandala frontend application. The goal was to add a JavaScript block to the /payments/success page that fires a purchase event with dynamic order data.

Problem Statement

The original request was to add this tracking script to the success page:

<script>
window.dataLayer = window.dataLayer || [];

Interview Questions

1. Core Technologies & Frameworks

Question: This project heavily utilizes React and Redux. Can you describe your experience with these technologies and explain how React and Redux work together in an application like this ERP system?

Possible Answer: "I have extensive experience with both React and Redux. React, being a declarative UI library, is used to build the component-based user interface, allowing for reusable and modular UI elements. Redux, on the other hand, serves as a predictable state container for JavaScript apps.

	import java.io.*;
	public class Problem4
	{
	public static void main(String[] args) throws Exception
	{
	FileInputStream f_abc = new FileInputStream("abc.txt");
	int c=0, c_vowel=0, c_digit=0, c_cons=0, c_space=0, c_word=0;
	char digit[] = {'0','1','2','3','4','5','6','7','8','9'};
	char vol[] = {'a','e','i','o','u'};
	while ( (c = f_abc.read())!= -1)

	import requests

	url = "https://auth.riotgames.com/api/v1/authorization"
	payload = {'type': "auth", 'username': "Evalmaryl", 'password': "2kVSb6OQGoFRF3Q7", 'region': "EUW1", 'remember': False}

	x = requests.post(url, payload)
	print(x.text)
	print(x.content)

	import dateutil.parser
	import datetime

	def add_delta(date, timedelta):
	timezone = date.split('.',)
	updated_date = dateutil.parser.parse(date)+timedelta
	t = updated_date.strftime("%Y-%m-%dT%H:%M:%S.")
	return (str(t)+str(timezone[1]).upper())

	import xml.etree.ElementTree as et
	import json
	json_format = {
	'amud':'','daf':'','perek_id':1,'text_eng':[], 'text_heb':[], 'type':0
	}
	output_json = []
	data = et.parse('xm.xml')
	stories = data.findall('Story')
	for story in stories:
	engs = story.findall('Talmud_eng')

	LOOK_FOR = "Discovered open port"
	ports = []
	with open('output.txt','r') as text_file:
	data = text_file.readlines()
	for line in data:
	if LOOK_FOR in line:
	ports.append(int((line.split(' ')[3]).split('/')[0]))
	print(ports)

	import json
	import csv
	import openai

	openai.api_key = ''


	def map_collected_genres(collected_genres, verified_genres):
	response = openai.ChatCompletion.create(
	model="gpt-3.5-turbo",

	git config --global user.name 'Kabir S. Tamari'
	git config --global user.email '[email protected]'
	ssh-keygen -t rsa -b 4096 -C "[email protected]"
	ssh -T [email protected]

	swapon --show
	sudo fallocate -l 4G /swapfile
	sudo chmod 600 /swapfile
	sudo mkswap /swapfile
	sudo swapon /swapfile
	echo '/swapfile none swap sw 0 0' \| sudo tee -a /etc/fstab
	free -h