info visualisation – Visualize realtime timeline chart

We have a system that collects events.
An event typically occurs every 10th second or so, but its pretty random.
The system collects the events during a project’s lifetime which usually runs for about a month.

We are currently presenting the user with a timeline chart that aggregates the number of events (currently per day) for a project, which is an excellent way of showing the user how much events we are collecting and how it varies over time.

However, we would also like to communicate that the system is “live” and that events are entering the system and if there is a current trend in the inflow.

Since the current chart is aggregated per day, its not good enough to just keep it updated in realtime. The last point in the chart (since its an aggregation) will move very, very slowly when a new event is collected and there is no way of detecting any kind of trend.

Do you have any suggestion on how to visualize this? I’m thinking of combining different charts in some way, but not sure how to make it informative and clear.

javascript – How to get random pushed key from firebase realtime database

i am about to delete the child -MAkugTU_85UTvn4g9Hn by date(timestamp) and videoId value in folowing image

enter image description here

i tried below code only return the parent called oUi3NI9SdcbCC6v5EmygDNV4lrg1 not the random pushed key, any suggestion will be appreciated.

    const uid = firebase.auth().currentUser.uid;
    const ref = firebase.database().ref('posts').child(uid);
         ref.orderByChild('date').equalTo(date).once("value",snapshot => {
            console.log(snapshot.key) // oUi3NI9SdcbCC6v5EmygDNV4lrg1
            });

python – Webscraping application that collects metal prices and converts them from USD to MXN real-time using BeautifulSoup

from bs4 import BeautifulSoup
import requests
import re
import datetime

metal_translation = {"Aluminium": "Aluminio", "Copper": "Cobre", "Zinc": "Zinc", "Nickel": "Níquel", "Lead": "Plomo", "Tin": "Estaño",
                     "Aluminium Alloy": "Aleación de Aluminio", "Cobalt": "Cobalto", "Gold*": "Oro*", "Silver*": "Plata*",
                     "Steel Scrap**": "Chatarra de Acero", "NASAAC": "NASAAC", "Steel Rebar**": "Varilla de Acero"}

def get_metal_values():
    names = ()
    prices = ()
    metals = requests.get('https://www.lme.com/').text
    soup = BeautifulSoup(metals, 'lxml')
    metal_table = soup.find("table", attrs={"class": "ring-times"})
    metal_table_names, metal_table_prices = metal_table.tbody.find_all("th"), metal_table.tbody.find_all("td")
    for name in metal_table_names:
        names.append(name.text.replace("LME ", ""))
    for price in metal_table_prices:
        prices.append(price.text.strip())
    return names, prices

def get_peso_conversion():
    peso = requests.get('https://themoneyconverter.com/USD/MXN').text
    soup1 = BeautifulSoup(peso, 'lxml')
    conversion = soup1.find("div", class_="cc-result").text
    rate = re.search("d{2}.d{4}", conversion).group()
    return rate

def get_time():
    date = datetime.datetime.now()
    time = (f'{date.day}/{date.month}/{date.year} | {date.hour}:{date.minute}')
    return time

def convert_values():
    names, prices = get_metal_values()
    rate = get_peso_conversion()
    metal_data = dict(zip(names, prices))
    for k, v in metal_data.items():
        v = (float(v.replace(",", "")) * float(rate))
        v = ("%.2f" % v)
        k = metal_translation(k)
        print(f'{k}: {v} $')

def program_run():
    print("Metal Prices by ETHAN HETRICK")
    print("================================================")
    print(f'{get_time()} | 1 USD = {get_peso_conversion()} MXNn')
    print("Precios de metales de London Metal Exchange: (Por tonelada métrica, *Por onza Troy)n")
    convert_values()
    print("================================================")

program_run()
input("nEscribe 'x' para terminar.n")

EXAMPLE OUTPUT:

Metal Prices by ETHAN HETRICK
================================================
26/6/2020 | 18:28 | 1 USD = 23.0622 MXN

Precios de metales de London Metal Exchange: (Por tonelada métrica, *Por onza Troy)

Aluminio: 36484.40 $
Cobre: 138038.80 $
Zinc: 47438.95 $
Níquel: 293097.50 $
Plomo: 41004.59 $
Estaño: 391826.78 $
Aleación de Aluminio: 27997.51 $
NASAAC: 27444.02 $
Cobalto: 657272.70 $
Oro*: 40711.70 $
Plata*: 410.74 $
Chatarra de Acero: 6065.36 $
Varilla de Acero: 9720.72 $
================================================

Escribe 'x' para terminar.

My fiances father owns a metal recycling business in Mexico City, Mexico which requires him to do a lot of calculations when negotiating with clients. Since he was doing this by hand, I decided to automate this for him. I used London Metal Exchange, which is his preferred site to get the current prices, for the metal prices and also got the exchange rate for USD to MXN and applied that as well. I also needed to translate everything to spanish so I used a dictionary. This is my first time utilizing webscraping and the datetime module so any advice to make this program run more efficiently or make the code more concise is much appreciated!

message queue – Architecture suggestion for designing realtime video transformation platform

I have a requirement where user’s video stream should be captured, transformed and this transformed stream should be returned back to user in real time.

Here is a oversimplified (in context of transformation) example:

  1. User turn on the portal and user’s video stream start.

  2. Video stream should go to server.

  3. Server should transform (let’s say turn colored images in stream to black and white) and return back to user.

  4. User sees the transformed stream in UI.

I have tried to build a design which is here. Problem I can see with this design is:

  1. Creation of per user topic in outgoing Kinesis/Kafka stream.

  2. User need to directly access the stream infrastructure which I believe should not be exposed.

javascript – Site em Real-time com Node.JS

Fala pessoal, alguém pode me ajudar nessa…

Desenvolvi um site totalmente dinâmico com banco de dados MySQL, ou seja, todos os principais elementos da página principal estão vindo do banco de dados, faço isso utilizando Node.JS, Express e MySQL.

O problema é que após alterar algo no banco de dados, mesmo atualizando a página (F5) as informações da tela não mudam. A mudança só reflete na página seu eu reiniciar o serviço “nodemon app.js” pelo CMD.

Já pesquisei bastante sobre o assunto e cheguei no Socket.io, até consegui iniciar ele aqui na minha aplicação, mas não estou conseguindo empregar ele na atualização das consultas ao MySQL.

Vejam os principais trechos da estrutura do meu código relacionados a este tema, por favor, me ajudem:

Trecho do arquivo app.js

const express = require('express');
var http = require('http');
var socket = require('socket.io');

var app = express();
var http = http.Server(app);
var io = socket(http);

var port = 3000;
io.on('connection', function (io) {
http.listen(port, () => {
    console.log('Em execução');
    console.log('Endereço do site : localhost:', port);
});

//Aqui está minha rota onde faço as consultas
const rotas = require('./routes/rotas')(io);
app.use("https://pt.stackoverflow.com/", rotas);

Até aqui tudo ok.

Vamos agora para o arquivo da rota:
Trecho do arquivo rotas.js

module.exports = (io) => {//Aqui recebo o socket.io lá do app.js

var express = require('express');
var rotas = express.Router();

const { pageSite } = require('../controller/site/site.js'(io); //Aqui passo o socket.io para o site.js
rotas.get("https://pt.stackoverflow.com/", pageSite); //localhost:3000 (rota da página principal)

return rotas;
};

Até aqui tudo ok.

Vamos agora para o arquivo que faz o render da página principal do site:
Trecho do arquivo site.js

//Aqui importo o site-model onde tem minhas consultas SQL
const funcao = require('./site-model');

//Aqui pego o resultado da consulta e gravo na variável section1
let section1;
(async function () {
   section1 = JSON.parse(JSON.stringify(await funcao.getSection1_Title));
})()

//Aqui passo os dados da variável section1 como parâmetro para o render da página
module.exports = (io) => {
   return {
      pageSite: (req, res, next) => {
         res.render('./site/index', {
             DTSection1: section1
         });
      },
   };
}

Até aqui tudo ok.

Vamos agora para o arquivo que faz as consultas utilizadas pelo render:
Trecho do arquivo site-model.js

//Função para consuoltar no banco
function select(query) {
    return new Promise((resolve, reject) => {
        conn.query(query, function (err, rows, fields) {
            if (err) return reject(err)
            resolve(rows);
        });
    });
}
module.exports = {
getSection1: (async function () {
        const result = await select('SELECT * FROM tb_section1 ORDER BY cod DESC');
        return result;
    })(),
}

Até aqui tudo ok.

Esta tudo funcionando perfeitamente, sempre que atualizo algo no BD ele reflete na página desde que eu reinicie o serviço node no CMD.

AJUDA: Só que preciso que os dados se atualizem na página quando eu der “F5” na página.

Penso que ao ao atualizar a página o socket.io deveria reprocessar a consulta ao BD regravando o retorno novo na variável “section1” do arquivo site.js, mas como fazer isso?

Observação: Reforço que no render da página passo 22 variáveis que receberam 22 consultas vindas de 22 tabelas diferentes.

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────────────────────────────────────────────────── ── ────────
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────────────────────────────────────────────────── ── ────────
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– 8 WD NVMe 2 TB SSDs (up to 6800 MB / s)
– Raid-10 NVMe storage
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────────────────────────────────────────────────── ── ────────
★ Contact and payment information ★
────────────────────────────────────────────────── ── ────────

Payment methods: Paypal, credit / debit cards

Support: (protected by e-mail)
Sales: (protected by e-mail)
Helpdesk: https://www.soladrive.com/support

────────────────────────────────────────────────── ── ────────
★ SolaDrive review ★
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Features included The

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★ Complete server management with real response times of 10 to 15 minutes

★ We proactively monitor your server in real time

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★ Supermicro motherboards and business hardware

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»Add cPanel / Plesk / DirectAdmin: $ 45 / $ 30 / $ 20

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Information from SolaDrive.com The

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Support: (protected by e-mail)

Sales: (protected by e-mail)

Helpdesk: https://www.soladrive.com/support

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WHT SolaDrive Reviews The

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audio – I'm having trouble getting custom mp3 files in CorentinJ's real-time voice cloning integration form

I am not really a good programmer but I have a lot of trobules with the real-time voice cloning project of CorentinJ. First of all, the setup, but thanks to nice people on the internet, I made it work. Now the problem is that I am trying to upload custom mp3 files into the integration form and I can't really figure out how. The only thing present is a record button. I have a special driver installed which allows me to play the sound of the internal PC on a microphone, but in this program I cannot change the microphone used. Help me, please! I have scoured the entire Internet, and anyone who knows how to use this project and how it works seems impossible to contact! Please! I can't really find a place to ask this question, because on the Git page, the author stated that he would not be able to answer any of the problems since he did not have time for this due to full time employment. I tried to hijack the ui.py file and see if there is anything related to it, but no! I found nothing! I tried to add different parameters to the python start line, but there aren't really options for adding custom audio files. https://github.com/CorentinJ/Real-Time-Voice-Cloning heres the git page for the project, this includes the source code for this project and I would really love to get some help! Why every piece of software on github like this requires so much effort to set up when in the end, everything you get is not what you expected!

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About SolaDrive

SolaDrive exists since 2009 by providing quality managed VPS, dedicated servers and advanced solutions. We aim for response times of 15 minutes or better, and with truly redundant networks and 100% uptime SLA, we are able to offer very reliable service. All our VPS are also fully managed, without worrying about the configuration and management of your server. Leave it to us!

★ 25% discount on all VPS for life ★

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────────────────────────────────────────────────── ── ───────
★ Included with all VPS plans ★
────────────────────────────────────────────────── ── ───────

»VPS locations: Los Angeles, CA – New York City – Coventry, UK

»Intel Xeon 4210 32-Core Servers, NVMe SSD Raid-10

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»Free backups performed twice a week on an off-site server

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────────────────────────────────────────────────── ── ───────

XEN1 VPS

  • 2 processor cores at 3.0 GHz
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Order Linux VPS

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────────────────────────────────────────────────── ── ───────
★ Localization and test IP ★
────────────────────────────────────────────────── ── ───────

Los Angeles, CA Test IP: 69.12.66.26 – DC info page

New York City IP Test: 216.156.135.64 – DC Info Page

Coventry, UK IP Test: 78.157.209.195 – DC Info Page

────────────────────────────────────────────────── ── ───────
★ VPS node server specifications ★
────────────────────────────────────────────────── ── ───────

– New dual Intel Xeon 4210 processors (20/40 x 3.2 GHz cores / threads max)

– 256 GB DDR4 ECC Ram

– Supermicro chassis, motherboard and power supplies

– Two redundant power supplies

– True A + B power supply, which means that a complete electrical network for "A" could shut down and that the server would still be operational on network "B"

– 8 WD NVMe 2 TB SSDs (up to 6800 MB / s)

– Raid-10 NVMe Storage

– Port speeds of 1 Gbit / s

────────────────────────────────────────────────── ── ───────
★ Contact and payment information ★
────────────────────────────────────────────────── ── ───────

Payment methods: Paypal, credit / debit cards

Support: (protected by e-mail)

Sales: (protected by e-mail)

Helpdesk: https://www.soladrive.com/support

────────────────────────────────────────────────── ── ───────
★ SolaDrive review ★
────────────────────────────────────────────────── ── ───────

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VPS SSD managed – 25% reduction for life – Real-time monitoring – Linux and Windows | NewProxyLists

About SolaDrive

SolaDrive exists since 2009 by providing quality managed VPS, dedicated servers and advanced solutions. We aim for response times of 15 minutes or better, and with truly redundant networks and 100% uptime SLA, we are able to offer very reliable service. All our VPS are also fully managed, without worrying about the configuration and management of your server. Leave it to us!

★ 25% discount on all VPS for life ★

(Coupon: 25WHT)

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★ Included with all VPS plans ★
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»VPS locations: Los Angeles, CA – New York City – Coventry, UK

»Intel Xeon 4210 32-Core Servers, NVMe SSD Raid-10

»Free VPS Migration

»Free backups performed twice a week on an off-site server

»Free script installation and configuration

»Free DirectAdmin license

»24/7 fully managed by experienced American technicians

»Instant VPS activation after payment

»Response time of 15 minutes

»99.9% Server Availability Guarantee

»Free VPS Migration

»Feature-packed SolusVM control panel

»30 day money back guarantee!

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★ Linux / Windows VPS hosting plan ★
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XEN1 VPS

  • 2 processor cores at 3.0 GHz
  • NVMe 50 GB SSD
  • 2 GB DDR4 RAM
  • 2 TB bandwidth
  • 1000 Mbps uplink
  • Fully managed
  • 1 dedicated IP

Monthly price: $ 26.25 / month – 25% coupon: 25WHT

Order Linux VPS

Order Windows VPS

XEN2 VPS

  • 4 processor cores at 3.0 GHz
  • 100 GB NVMe SSD
  • 4 GB DDR4 RAM
  • 4 TB bandwidth
  • 1000 Mbps uplink
  • Fully managed
  • 1 dedicated IP

Monthly price: $ 41.25 / month – 25% coupon: 25WHT

Order Linux VPS

Order Windows VPS

XEN3 VPS

  • 6 processor cores at 3.0 GHz
  • 150 GB NVMe SSD
  • 6 GB DDR4 RAM
  • 6 TB bandwidth
  • 1000 Mbps uplink
  • Fully managed
  • 2 dedicated IP addresses

Monthly price: $ 56.25 / month – 25% coupon: 25WHT

Order Linux VPS

Order Windows VPS

XEN4 VPS

  • 8 processor cores at 3.0 GHz
  • NVMe 200 GB SSD
  • 8 GB DDR4 RAM
  • 8 TB bandwidth
  • 1000 Mbps uplink
  • Fully managed
  • 2 dedicated IP addresses

Monthly price: $ 71.25 / month – 25% coupon: 25WHT

Order Linux VPS

Order Windows VPS

Pay a VPS annually and you will receive 1 month free!

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★ Localization and test IP ★
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Los Angeles, CA Test IP: 69.12.66.26 – DC info page

New York City IP Test: 216.156.135.64 – DC Info Page

Coventry, UK IP Test: 78.157.209.195 – DC Info Page

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★ VPS node server specifications ★
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– New dual Intel Xeon 4210 processors (20/40 x 3.2 GHz cores / threads max)

– 256 GB DDR4 ECC Ram

– Supermicro chassis, motherboard and power supplies

– Two redundant power supplies

– True A + B power supply, which means that a complete electrical network for "A" could shut down and that the server would still be operational on network "B"

– 8 WD NVMe 2 TB SSDs (up to 6800 MB / s)

– Raid-10 NVMe Storage

– Port speeds of 1 Gbit / s

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★ Contact and payment information ★
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Payment methods: Paypal, credit / debit cards

Support: (protected by e-mail)

Sales: (protected by e-mail)

Helpdesk: https://www.soladrive.com/support

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★ SolaDrive review ★
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