ggorlen

Creating Reproducible Browser Automation Examples

Without a minimal, reproducible example (reprex), in most cases, it's impossible to answer your question.
Without a reprex, the question isn't likely to provide value to future visitors with the same problem (the main purpose of Q&A sites like Stack Overflow).

Include your reprex code as text, not an image in the question itself (not an external link).

Consider a Jest-tested function that does a TypeORM operation in a fire-and-forget timeout after the test ends:

setTimeout(async () => {
  await someEntity.reload();
}, 20_000);

	local size = 20
	local tiles = {}

	function love.load()
	local r, g, b = love.math.colorFromBytes(0, 130, 200)
	love.graphics.setBackgroundColor(r, g, b)
	love.window.setTitle("10 print")
	height = love.graphics.getHeight()
	width = love.graphics.getWidth()
	math.randomseed(os.time())

	<?php
	function openAICompletion(array $messages): string {
	$apiKey = 'OpenAI API key here';
	$url = 'https://api.openai.com/v1/chat/completions';
	$payload = [
	'messages' => $messages,
	'model' => 'gpt-4o',
	'temperature' => 0
	];
	$options = [

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<meta name="description" content="Codementor payout visualizer">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Codementor Payout Visualizer</title>
	</head>
	<body>
	<div>

	import json
	import requests


	api_key = ""
	url = "https://api.openai.com/v1/chat/completions"
	headers = {
	"Authorization": f"Bearer {api_key}",
	"Content-Type": "application/json"
	}

	const cheerio = require("cheerio"); // ^1.0.0-rc.12
	const { JSDOM } = require("jsdom"); // ^24.0.0
	const puppeteer = require("puppeteer"); // ^22.7.1
	const TurndownService = require("turndown"); // ^7.1.2
	const { Readability } = require("@mozilla/readability"); // ^0.5.0

	const urlToMarkdown = async (page, url) => {
	await page.goto(url, { waitUntil: "networkidle2" });
	const doc = new JSDOM(await page.content(), { url });

	const apiKey = "YOUR_OPENAI_API_KEY";
	const endpoint = "https://api.openai.com/v1/chat/completions";

	const fetchCompletion = async (messages) => {
	const response = await fetch(endpoint, {
	method: "POST",
	headers: {
	"Content-Type": "application/json",
	Authorization: `Bearer ${apiKey}`,
	},