K6 load testing using CSV file

main_csv.js

import papaparse from 'https://jslib.k6.io/papaparse/5.1.1/index.js';
import { SharedArray } from "k6/data";
import http from 'k6/http';
import { check } from 'k6';

const csvData = new SharedArray("another data name", function() {
    return papaparse.parse(open('./data.csv'), { header: true }).data;
});

const BASE_URL = 'https://www.mywebsiteundertest.com.br'

export const options = {
    thresholds: {
        http_req_failed: ['rate<0.01'], // http errors should be less than 1% 
        http_req_duration: ['p(50)<200'], // 50% of requests should be below 200ms
        http_req_duration: ['p(95)<900'], // 95% of requests should be below 200ms
    },
    vus: 30,
    duration: '30s',
}

export default function () {

    let my_id = getRandonId()

    let url = `${BASE_URL}/my_resource/${my_id}`
    let params = {
        headers: { 
            'Accept': 'application/json'
        },
    };

    let res = http.get(url, params);
    console.log(`${res.status} - ${url}`);
    
    
    check(res, {
        'status is 200': (r) => r.status === 200,
    });
}

function getRandonId(){
    let randIndex =  getRandomInt(0, csvData.length);
    return csvData[randIndex].my_file_header_name;
}

function getRandomInt(min, max) {
    min = Math.ceil(min);
    max = Math.floor(max);
    return Math.floor(Math.random() * (max - min)) + min;
}