Pedro Augusto pdaug

Cloud functions static outbound IP address

The guide inspired by Static outbound IP address for Cloud Run.

gcloud compute networks list

	import { isNumeric } from "@core/Utils/index";

	const DateDuration = function (milliseconds?: number, hasSeconds = true, hasMinutes = true): string {
	if (!milliseconds) {
	return "0s";
	}
	if (milliseconds <= 0 \|\| milliseconds === Infinity) {
	return "0s";
	}

	import { subDays, format, parse, startOfWeek, addWeeks, startOfMonth, subMonths, subWeeks, addMonths, addDays } from "date-fns";

	import { ReportFields } from "../WindowDeviceReport.asset";

	const getDateRangeFromPresets = function ({ range, timeRange, startTime: customStartTime, endTime: customEndTime, customRange }: ReportFields) {
	const rangeToOffset = {
	today: [new Date(), new Date()],
	yesterday: [subDays(new Date(), 1), subDays(new Date(), 1)],
	two_days_ago: [subDays(new Date(), 2), subDays(new Date(), 2)],
	three_days_ago: [subDays(new Date(), 3), subDays(new Date(), 3)],

	import { DocumentData, DocumentSnapshot, QuerySnapshot } from "firebase-admin/firestore";

	type withDocId<T> = T & { docId: string }
	type SingleDocument = DocumentSnapshot<DocumentData>;
	type QueryDocuments = QuerySnapshot<DocumentData>;

	type Snapshot = SingleDocument \| QueryDocuments;
	type SnapshotNullable = Snapshot \| null;

	const checkSingle = (snapshot: Snapshot): snapshot is SingleDocument => {


	/* UTILS AND CONSTANTS*/

	const SPEED_MULTIPLIER = 1.852;
	const DISTANCE_MULTIPLIER = 111.045;
	const SETTINGS = {
	"default_object_online_timeout": 5
	,"valid_by_avg_speed": false
	,"min_moving_speed": 6
	,"addon.device_tracker_app_login": false

	<html>
	<head>
	<script src='http://35.209.36.199:8080/client/js-yaml.min.js'></script>
	<script type='module'>
	import { getUpdates } from 'http://35.209.36.199:8080/client/getUpdates.mjs';

	let now = new Date().getTime();
	function print( obj ) {
	console.log("Total elements: ", obj.length);
	console.log("seconds processing: ",(new Date().getTime() - now)/1000);

	#!/usr/bin/env python
	# encoding: utf-8
	import codecs
	import os
	import sys

	import numpy as np

	from sklearn.feature_extraction.text import TfidfVectorizer