Mariano Martín Fresno mnofresno

Propuesta de Mejora de Seguridad y CI/CD para el Servidor VPS

Fecha: 27 de agosto de 2024

Descripción del Proyecto

Este documento detalla las tareas a realizar para mejorar la seguridad y la eficiencia del servidor VPS utilizado en la venta de entradas de espectáculos de música electrónica. Dada la relación de amistad, se han incluido varias promociones y beneficios extras sin costo adicional.

Objetivo del Proyecto

Google Lens For Ubuntu

For those who use Google Lens on Android as an OCR to capture text from images, screenshots, etc.. here is a bash script that does the same on Ubuntu.

Sometimes we need to copy a telephone number in an APP where there isn't a copy to clipboard feature enabled or maybe to copy texts from an picture.

This can be done with a OCR, this script does that allowing to drag&drop select a region of the screen and copy to clipboard the text parsed from the image.

#!/bin/bash

	#!/bin/bash

	# Function to check the git status
	check_git_status() {
	local dir="$1"
	cd "$dir" \|\| return
	git_status=$(git status --porcelain 2>/dev/null)
	if [[ -z "$git_status" ]]; then
	echo "Clean"
	else

	<html>

	<body>
	<div id='editableDiv' contenteditable='true'>
	<form>
	<table id="tabla">
	<tr>
	<th>Campo 1</th>
	<th>Campo 2</th>
	<th>Campo 3</th>

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta http-equiv="X-UA-Compatible" content="IE=edge">
	<meta name="viewport" cntent="width=device-width, initial-scale=1.0">
	<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
	<title>Sitio de Ema</title>
	</head>
	<body>

	// Let's create our own strategy
	var strat = {};

	// Prepare everything our strat needs
	strat.init = function() {
	// your code!
	this.count = 0;

	var weight = 10;

	from sklearn import tree
	features = [[130, 6],[140, 9],[150, 90],[170, 777], [900,555]]
	labels = [[0, 0], [0, 0], [1, 0], [1, 1], [2, 2]]
	classifier = tree.DecisionTreeClassifier()
	colorDictionary = {0: 'roja', 1:'verde', 2:'azul'}
	typeDictionary = {0: 'naranja', 1: 'manzana', 2: 'pera'}
	trainedClassifier = classifier.fit(features, labels)
	prediction = trainedClassifier.predict([[100,9999]]);
	print('Type Prediction: ', typeDictionary[prediction[0][0]], ' Color Prediction: ', colorDictionary[prediction[0][1]])

	# Config Vars
	private_key_path=/c/Users/myUser/my_private.key
	dev_files_path=/d/my/dev/directory
	key_expiration_ttl=28800

	# Compute config filename with current date
	current_date=$(date +"%Y%m%d")
	SSH_ENV="$TEMP/environment_$current_date"

	# Set up ssh-agent

	function TotalDisco($disco)
	{

	}

	function UsadoDisco($disco)
	{

	}