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# Filename: main.tf
# Configure GCP project
provider "google" {
  project = "terraform-cr"
}
# Deploy image to Cloud Run
resource "google_cloud_run_service" "comicbook-crawler" {
  name     = "comicbook-crawler"
  location = "europe-west2"
  template {

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const Apify = require('apify');
const fs = require('fs');
const b2CloudStorage = require('b2-cloud-storage');

async function backblazeUpload () {
    return new Promise(resolve => {
        const b2 = new b2CloudStorage({
            auth: {
                accountId: '<account_id>',
                applicationKey: '<application_key>'

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## Configuration file for a typical Tor user
## Last updated 28 February 2019 for Tor 0.3.5.1-alpha.
## (may or may not work for much older or much newer versions of Tor.)
##
## Lines that begin with "## " try to explain what's going on. Lines
## that begin with just "#" are disabled commands: you can enable them
## by removing the "#" symbol.
##
## See 'man tor', or https://www.torproject.org/docs/tor-manual.html,
## for more options you can use in this file.

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const Apify = require('apify');
const fs = require('fs');

Apify.main(async () => {
    // Create a requestQueue
    const requestQueue = await Apify.openRequestQueue();
    // Add the first requests to the queue
    await requestQueue.addRequest({ url: 'https://www.coolblue.nl/sitemap/nl_en/products_1.xml' });
    await requestQueue.addRequest({ url: 'https://www.coolblue.nl/sitemap/nl_en/products_2.xml' });
    

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# Name of your job
job "my_job" {
	# Which region are you running your job
	datacenters = ["dc1"]
	
    /*
    Job type can be "service", "batch" or "system".
        A "service" job is made for long lived services that should never go down,
        Service jobs are made to run until explicitly stopped by the operator.
    A "batch" job is made for short lived operations which can last

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# In case you are wondering about why the range goes to 101, that is because, 
# the last argument is where it stops, meaning it will only reach the previous iteration (100).
# For more information check: https://www.geeksforgeeks.org/python-range-function/
our_set = {x for x in range(1, 101)}
print(our_set)

# or the easiest approach for newcomers.

our_set = set()
for x in range(1, 101):

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# Define set
my_set = {2, 5, 6}

(1 not in my_set) # 1 ∉ {2, 5, 6} also means {2, 5, 6} ∌ 1

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# Define Set
my_set = {1, 2, 3}

(1 in my_set) # 1 ∈ {1, 2, 3} also means {1, 2, 3} ∋ 1

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# Declare the set
my_set = {1, 2, 3, 4, 4}

print(my_set)
# Will output {1, 2, 3, 4}

# FUN NOTE: strings can also be added to sets in Python like {"Banana", "apple"}, 
# keep in mind it will still forbid repetition

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<section class="login-cliente">
  <div class="container">
    <div class="row spaced-out">
    <div class="col-md-6">
      <h2>Login</h2>
      <p>Aqui pode ver e alterar os seus dados pessoais, consultar uma listagem com os descontos e promoções de que já usufruiu e aceder aos seus vouchers.</p>
      
      <label>Email</label>
        <input type="email">