Dashboard di monitoraggio

✅ Obiettivo

Creare una dashboard web browser-based con tema scuro, responsive e visualizzabile anche su smartphone, per monitorare un server Ubuntu via SSH. È una Progressive Web App (PWA) installabile su Android/iOS, con grafici live e aggiornamenti in tempo reale via Socket.io.

🧱 Stack Tecnologico

Node.js + Express: backend server
Socket.io: comunicazione real-time
Chart.js: grafici dinamici
HTML + CSS (dark mode): frontend
PWA: manifest.json, service worker, icone

📁 Struttura del progetto

⚙️ Codice

📄 `server.js` (backend con Socket.io + Express)

const express = require('express');
const http = require('http');
const socketIo = require('socket.io');
const os = require('os');
const si = require('systeminformation');
const path = require('path');

const app = express();
const server = http.createServer(app);
const io = socketIo(server);

app.use(express.static(path.join(__dirname, 'public')));

io.on('connection', (socket) => {
  console.log('Client connesso');

  const interval = setInterval(async () => {
    const cpu = await si.currentLoad();
    const mem = await si.mem();
    const disk = await si.fsSize();
    const net = await si.networkStats();
    const temp = await si.cpuTemperature();
    const gpu = (await si.graphics()).controllers[0] || {};

    socket.emit('stats', {
      cpu: cpu.currentLoad.toFixed(1),
      memUsed: (mem.used / 1024 / 1024 / 1024).toFixed(2),
      memTotal: (mem.total / 1024 / 1024 / 1024).toFixed(2),
      diskUsed: disk[0]?.used || 0,
      diskTotal: disk[0]?.size || 1,
      netRx: net[0]?.rx_sec / 1024 || 0,
      netTx: net[0]?.tx_sec / 1024 || 0,
      temp: temp.main || 0,
      gpuLoad: gpu.utilizationGpu || 0,
      gpuTemp: gpu.temperatureGpu || 0
    });
  }, 2000);

  socket.on('disconnect', () => {
    clearInterval(interval);
    console.log('Client disconnesso');
  });
});

const PORT = 3000;
server.listen(PORT, () => {
  console.log(`Dashboard disponibile su http://localhost:${PORT}`);
});

📄 `public/index.html` (dashboard + PWA)

html

<!DOCTYPE html>
<html lang="it">
<head>
  <meta charset="UTF-8" />
  <meta name="viewport" content="width=device-width, initial-scale=1" />
  <title>LoadingCT Server Dashboard</title>
  <link rel="stylesheet" href="style.css" />
  <link rel="manifest" href="manifest.json" />
  <meta name="theme-color" content="#ff6384" />
</head>
<body>
  <h1>📊 LoadingCT Server Dashboard</h1>

  <table>
    <tr>
      <td><div class="info"><span class="icon">🖥️</span><span id="cpuText">CPU:</span></div><canvas id="chartCpu"></canvas></td>
      <td><div class="info"><span class="icon">💾</span><span id="ramText">RAM:</span></div><canvas id="chartRam"></canvas></td>
      <td><div class="info"><span class="icon">📊</span><span id="diskText">Disco:</span></div><canvas id="chartDisk"></canvas></td>
    </tr>
    <tr>
      <td><div class="info"><span class="icon">🌡️</span><span id="tempText">Temp:</span></div><canvas id="chartTemp"></canvas></td>
      <td><div class="info"><span class="icon">🌐</span><span id="netText">Rete:</span></div><canvas id="chartNet"></canvas></td>
      <td><div class="info"><span class="icon">🎮</span><span id="gpuText">GPU:</span></div><canvas id="chartGpu"></canvas></td>
    </tr>
  </table>

  <script src="/socket.io/socket.io.js"></script>
  <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
  <script src="script.js"></script>
  <script>
    if ('serviceWorker' in navigator) {
      navigator.serviceWorker.register('/service-worker.js')
        .then(() => console.log('Service Worker registrato'))
        .catch(err => console.error('Service Worker errore:', err));
    }
  </script>
</body>
</html>

🎨 `public/style.css` (tema scuro)

css

body {
  background-color: #121212;
  color: #eee;
  font-family: Arial, sans-serif;
  margin: 20px;
  text-align: center;
}

h1 {
  margin-bottom: 20px;
}

table {
  width: 90vw;
  max-width: 800px;
  margin: 0 auto 30px auto;
  border-collapse: collapse;
  table-layout: fixed;
  color: #eee;
}
td {
  border: 1px solid #444;
  padding: 15px;
  vertical-align: top;
  background: #1f1f1f;
  text-align: center;
}
.info {
  display: flex;
  align-items: center;
  justify-content: center;
  gap: 8px;
  font-size: 1.2em;
  margin-bottom: 10px;
}
.icon {
  font-size: 1.6em;
}
canvas {
  max-width: 100%;
  height: 150px !important;
  margin: 0 auto;
  background-color: #222;
  border-radius: 8px;
  display: block;
}

📈 `public/script.js` (client Socket.io + grafici)

document.addEventListener('DOMContentLoaded', () => {
  const socket = io();
  const maxDataPoints = 30;

  function createChart(ctx, label, color, unit = '') {
    if (!ctx) return null;
    return new Chart(ctx, {
      type: 'line',
      data: {
        labels: Array(maxDataPoints).fill(''),
        datasets: [{
          label: label,
          data: Array(maxDataPoints).fill(0),
          borderColor: color,
          backgroundColor: color + '44',
          fill: true,
          tension: 0.3,
          pointRadius: 0,
        }]
      },
      options: {
        animation: false,
        responsive: true,
        maintainAspectRatio: false,
        scales: {
          x: { display: false },
          y: {
            beginAtZero: true,
            ticks: {
              callback: val => val + unit
            }
          }
        },
        plugins: {
          legend: { display: true },
        }
      }
    });
  }

  const charts = {
    cpu: createChart(document.getElementById('chartCpu')?.getContext('2d'), 'CPU %', '#ff6384', '%'),
    ram: createChart(document.getElementById('chartRam')?.getContext('2d'), 'RAM GB', '#36a2eb', 'GB'),
    disk: createChart(document.getElementById('chartDisk')?.getContext('2d'), 'Disco GB usati', '#ffce56', 'GB'),
    temp: createChart(document.getElementById('chartTemp')?.getContext('2d'), 'Temperatura °C', '#ff9f40', '°C'),
    net: createChart(document.getElementById('chartNet')?.getContext('2d'), 'Rete KB/s', '#4bc0c0', 'KB/s'),
    gpu: createChart(document.getElementById('chartGpu')?.getContext('2d'), 'GPU %', '#9966ff', '%'),
  };

  function updateChart(chart, value) {
    if (!chart) return;
    chart.data.datasets[0].data.push(value);
    if (chart.data.datasets[0].data.length > maxDataPoints) {
      chart.data.datasets[0].data.shift();
    }
    chart.update('none');
  }

  socket.on('stats', (data) => {
    document.getElementById('cpuText').textContent = `CPU: ${data.cpu}%`;
    document.getElementById('ramText').textContent = `RAM: ${data.memUsed} / ${data.memTotal} GB`;
    document.getElementById('diskText').textContent = `Disco: ${(data.diskUsed / 1024 / 1024 / 1024).toFixed(2)} / ${(data.diskTotal / 1024 / 1024 / 1024).toFixed(2)} GB`;
    document.getElementById('tempText').textContent = `Temp CPU: ${data.temp}°C`;
    document.getElementById('netText').textContent = `Rete: ↓ ${data.netRx.toFixed(1)} KB/s ↑ ${data.netTx.toFixed(1)} KB/s`;
    document.getElementById('gpuText').textContent = `GPU: ${data.gpuLoad}% - ${data.gpuTemp}°C`;

    updateChart(charts.cpu, data.cpu);
    updateChart(charts.ram, data.memUsed);
    updateChart(charts.disk, (data.diskUsed / 1024 / 1024 / 1024).toFixed(2));
    updateChart(charts.temp, data.temp);
    updateChart(charts.net, (data.netRx + data.netTx).toFixed(1));
    updateChart(charts.gpu, data.gpuLoad);
  });
});

🌐 `public/manifest.json`

json

{
  "name": "LoadingCT_Dashboard",
  "short_name": "LoadingCT",
  "description": "Dashboard di monitoraggio server LoadingCT",
  "start_url": "/index.html",
  "display": "standalone",
  "background_color": "#121212",
  "theme_color": "#ff6384",
  "orientation": "portrait",
  "icons": [
    { "src": "icons/icon-96.png", "sizes": "96x96", "type": "image/png" },
    { "src": "icons/icon-144.png", "sizes": "144x144", "type": "image/png" },
    { "src": "icons/icon-192.png", "sizes": "192x192", "type": "image/png" },
    { "src": "icons/icon-512.png", "sizes": "512x512", "type": "image/png" }
  ]
}

🛠️ `public/service-worker.js`

self.addEventListener('install', e => {
  e.waitUntil(
    caches.open('dashboard-cache').then(cache =>
      cache.addAll([
        '/',
        '/index.html',
        '/style.css',
        '/script.js',
        '/manifest.json',
        'https://cdn.jsdelivr.net/npm/chart.js',
        '/socket.io/socket.io.js'
      ])
    )
  );
});

self.addEventListener('fetch', e => {
  e.respondWith(
    caches.match(e.request).then(response => response || fetch(e.request))
  );
});

🖼️ Icone (cartella `public/icons`)

Puoi generare le icone a partire da una immagine base e ridimensionarle in:

96x96, 144x144, 192x192, 512x512 (PNG)

Update

🔧 1. Backend – `server.js`

Aggiungiamo l’utilizzo di si.fsSize() per ottenere tutti i filesystem montati e separatamente un controllo dedicato per il mount-point /mnt/storagepool.

// Usa questo nel tuo interval di stats:
const fsArray = await si.fsSize();

// Statistiche disco singolo
fsArray.forEach(d => {
  socket.emit('diskSingle', {
    fs: d.fs,
    mount: d.mount,
    usedGB: (d.used / 1024 / 1024 / 1024).toFixed(2),
    sizeGB: (d.size / 1024 / 1024 / 1024).toFixed(2),
    useP: d.use.toFixed(1)
  });
});

// Statistiche aggregate per lo storage pool
const pool = fsArray.find(d => d.mount === '/mnt/storagepool');
if (pool) {
  socket.emit('diskPool', {
    usedGB: (pool.used / 1024 / 1024 / 1024).toFixed(2),
    sizeGB: (pool.size / 1024 / 1024 / 1024).toFixed(2),
    freeGB: ((pool.size - pool.used) / 1024 / 1024 / 1024).toFixed(2),
    useP: pool.use.toFixed(1)
  });
}

👉 si.fsSize() restituisce un array con tutti i filesystem montati, inclusi /, /boot, /mnt/... e così via github.com+2spec.org+2stackoverflow.com+2stackoverflow.com+6app.unpkg.com+6classic.yarnpkg.com+6.

📊 2. Frontend – `script.js`

Includi nuovi listener e visualizzazione:

socket.on('diskSingle', d => {
  // crea o aggiorna dinamicamente una lista riga/tabella div con id = 'disk-' + mount name
  // ad esempio:
  const id = 'disk-' + d.mount.replace(/[\/]/g, '_');
  let el = document.getElementById(id);
  if (!el) {
    el = document.createElement('div');
    el.id = id;
    el.innerHTML = `<strong>${d.mount}</strong>: ${d.usedGB}/${d.sizeGB} GB (${d.useP}%)`;
    document.getElementById('storage-details').appendChild(el);
  } else {
    el.textContent = `${d.mount}: ${d.usedGB}/${d.sizeGB} GB (${d.useP}%)`;
  }
});

socket.on('diskPool', p => {
  const el = document.getElementById('pool-info');
  el.textContent = `Storage Pool: ${p.usedGB}/${p.sizeGB} GB usati, ${p.freeGB} GB liberi (${p.useP}%)`;
});

🧩 3. HTML – inserisci i contenitori nella pagina

Aggiungi sotto la tabella principale:

E nello style.css aggiungi un po' di stile per chiarezza:

📌 4. Riepilogo

si.fsSize() restituisce tutti i filesystem montati npmjs.com.
Nel backend invii due eventi via Socket:
- diskSingle → ogni singolo disco/partizione.
- diskPool → solo /mnt/storagepool per riassunto pool.
Nel frontend, aggiungi un’area dedicata in cui inserire queste info in tempo reale.
Nessun plugin aggiuntivo; tutto gestito con systeminformation e socket.io già in uso.

Versione 2.0

Guida aggiornata: Dashboard di monitoraggio server Ubuntu viacon SSHtemperatura CPU da sensors

✅ Obiettivo

Creare una dashboard web browser-~~based con~~based, tema scuro, responsive e ~~visualizzabile~~installabile ~~anche~~come ~~su smartphone,~~PWA, per monitorare un server Ubuntu via ~~SSH.~~
~~È una~~ ~~Progressive Web App (PWA)~~ ~~installabile su Android/iOS,~~SSH, con ~~grafici live e aggiornamenti~~dati in tempo reale via Socket.io.io.

In questa versione, la temperatura della CPU viene letta con il comando Linux sensors invece che da systeminformation per avere valori più affidabili.

🧱 Stack Tecnologico

Node.js + Express: (backend ~~server~~server)
Socket.io: (comunicazione real-~~time tra server e client~~time)
Chart.js: (grafici ~~dinamici e animati~~dinamici)
HTML + CSS (dark mode): ~~frontend e interfaccia utente~~(frontend)
PWA: (manifest.json, service ~~worker~~worker, eicone)
~~icone~~
Comando shell sensors (per ~~installabilità~~la temperatura CPU)

📁 Struttura del progetto

⚙️ Codice

📄 `server.js` (backend con Socket.io + Express + systeminformation)`sensors` per temperatura CPU)

// Import moduli necessari
const express = require('express');
const http = require('http');
const socketIo = require('socket.io');
const si = require('systeminformation');
const path = require('path');
const { exec } = require('child_process');

const app = express();
const server = http.createServer(app);
const io = socketIo(server);

app.use(express.static(path.join(__dirname, 'public')));

// Funzione per leggere temperatura CPU da `sensors`
function getCpuTempFromSensors() {
  return new Promise((resolve, reject) => {
    exec('sensors -u', (err, stdout, stderr) => {
      if (err) {
        return reject(err);
      }
      // Estrae la temperatura temp1_input
      const regex = /temp1_input:\s*([\d.]+)/;
      const match = stdout.match(regex);
      if (match) {
        resolve(parseFloat(match[1]));
      } else {
        resolve(0);
      }
    });
  });
}

io.on('connection', (socket) => {
  console.log('Client connesso');

  // Invio dati ogni 2 secondi
  const interval = setInterval(async () => {
    try {
      // Ottieni statistichedati di sistemasistema, inesclusa parallelola temperatura CPU
      const [cpu, mem, disks, net, temp, gpuRaw] = await Promise.all([
        si.currentLoad(),
        si.mem(),
        si.fsSize(),
        si.networkStats(),
        si.cpuTemperature(),
        si.graphics()
      ]);
      const gpu = gpuRaw.controllers[0] || {};

      // Temperatura CPU da sensors
      const tempCpu = await getCpuTempFromSensors();

      // Invia dati divia base per graficisocket
      socket.emit('stats', {
        cpu: cpu.currentLoad.toFixed(1), // CPU %
        memUsed: (mem.used / 1024 / 1024 / 1024).toFixed(2),
        // RAM usata GB
        memTotal: (mem.total / 1024 / 1024 / 1024).toFixed(2),
        // RAM totale GB
        diskUsed: disks[0]?.used || 0, // Primo disco usato (bytes)
        diskTotal: disks[0]?.size || 1,
        // Primo disco totale (bytes)
        temp: temp.maintempCpu || 0, // Temperatura CPU (°C)
        netRx: (net[0]?.rx_sec || 0) / 1024,
        // Download KB/s
        netTx: (net[0]?.tx_sec || 0) / 1024,
        // Upload KB/s
        gpuLoad: gpu.utilizationGpu || 0,
        // Carico GPU %
        gpuTemp: gpu.temperatureGpu || 0
      // Temperatura GPU °C
      });

      // Statistiche disco singolo: invia info per ogni disco montatosingolo
      disks.forEach(d => {
        socket.emit('diskSingle', {
          fs: d.fs,
          mount: d.mount,
          usedGB: (d.used / 1024 / 1024 / 1024).toFixed(2),
          sizeGB: (d.size / 1024 / 1024 / 1024).toFixed(2),
          useP: d.use.toFixed(1)
        });
      });

      // Statistiche aggregate per lo storage pool (es. /mnt/storagepool)
      const pool = disks.find(d => d.mount === '/mnt/storagepool');
      if (pool) {
        socket.emit('diskPool', {
          usedGB: (pool.used / 1024 / 1024 / 1024).toFixed(2),
          sizeGB: (pool.size / 1024 / 1024 / 1024).toFixed(2),
          freeGB: ((pool.size - pool.used) / 1024 / 1024 / 1024).toFixed(2),
          useP: pool.use.toFixed(1)
        });
      }
    } catch (err) {
      console.error('Errore nel recupero stats:', err.message);
    }
  }, 2000);

  socket.on('disconnect', () => {
    clearInterval(interval);
    console.log('Client disconnesso');
  });
});

const PORT = 3000;
server.listen(PORT, () => {
  console.log(`Dashboard disponibile su http://localhost:${PORT}`);
});

📄Gli altri file (`public/index.html` (Dashboard + PWA)

~~html~~

<!DOCTYPE html>
<html lang="it">
<head>
  <meta charset="UTF-8" />
  <meta name="viewport" content="width=device-width, initial-scale=1" />
  <title>LoadingCT Server Dashboard</title>
  <link rel="stylesheet" href="style.css" />
  <link rel="manifest" href="manifest.json" />
  <meta name="theme-color" content="#ff6384" />
</head>
<body>
  <h1>📊 LoadingCT Server Dashboard</h1>

  <table>
    <tr>
      <td>
        <div class="info">
          <span class="icon">🖥️</span><span id="cpuText">CPU:</span>
        </div>
        <canvas id="chartCpu"></canvas>
      </td>
      <td>
        <div class="info">
          <span class="icon">💾</span><span id="ramText">RAM:</span>
        </div>
        <canvas id="chartRam"></canvas>
      </td>
      <td>
        <div class="info">
          <span class="icon">📊</span><span id="diskText">Disco:</span>
        </div>
        <canvas id="chartDisk"></canvas>
      </td>
    </tr>
    <tr>
      <td>
        <div class="info">
          <span class="icon">🌡️</span><span id="tempText">Temp:</span>
        </div>
        <canvas id="chartTemp"></canvas>
      </td>
      <td>
        <div class="info">
          <span class="icon">🌐</span><span id="netText">Rete:</span>
        </div>
        <canvas id="chartNet"></canvas>
      </td>
      <td>
        <div class="info">
          <span class="icon">🎮</span><span id="gpuText">GPU:</span>
        </div>
        <canvas id="chartGpu"></canvas>
      </td>
    </tr>
  </table>

  <!-- Sezione Storage -->
  <div id="storage-section">
    <h2>🗄️ Storage</h2>
    <div id="pool-info">Caricamento...</div>
    <div id="storage-details"></div>
  </div>

  <script src="/socket.io/socket.io.js"></script>
  <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
  <script src="script.js"></script>
  <script>
    if ('serviceWorker' in navigator) {
      navigator.serviceWorker.register('/service-worker.js')
        .then(() => console.log('Service Worker registrato'))
        .catch(err => console.error('Service Worker errore:', err));
    }
  </script>
</body>
</html>

🎨 `public/style.css` (Tema scuro + Stile storage)

~~css~~

body {
  background-color: #121212;
  color: #eee;
  font-family: Arial, sans-serif;
  margin: 20px;
  text-align: center;
}

h1 {
  margin-bottom: 20px;
}

table {
  width: 90vw;
  max-width: 800px;
  margin: 0 auto 30px auto;
  border-collapse: collapse;
  table-layout: fixed;
  color: #eee;
}
td {
  border: 1px solid #444;
  padding: 15px;
  vertical-align: top;
  background: #1f1f1f;
  text-align: center;
}
.info {
  display: flex;
  align-items: center;
  justify-content: center;
  gap: 8px;
  font-size: 1.2em;
  margin-bottom: 10px;
}
.icon {
  font-size: 1.6em;
}
canvas {
  max-width: 100%;
  height: 150px !important;
  margin: 0 auto;
  background-color: #222;
  border-radius: 8px;
  display: block;
}

/* Storage Section */
#storage-section {
  width: 90vw;
  max-width: 800px;
  margin: 20px auto;
  background: #1f1f1f;
  padding: 15px;
  border-radius: 8px;
  color: #ccc;
  text-align: left;
}
#storage-section div {
  padding: 5px 0;
  font-size: 0.9em;
}

/* Barra di utilizzo disco */
.disk-bar-container {
  width: 100%;
  background-color: #333;
  border-radius: 6px;
  overflow: hidden;
  height: 14px;
  margin-top: 3px;
}
.disk-bar-fill {
  height: 14px;
  background: linear-gradient(90deg, #ffce56, #ffc107);
  width: 0%;
  transition: width 0.5s ease;
  border-radius: 6px 0 0 6px;
  box-shadow: 0 0 4px #ffc107;
  font-size: 0.8em;
  color: #222;
  text-align: center;
  line-height: 14px;
  user-select: none;
}

📈 `public/script.js`, `manifest.json`, `service-worker.js`) restano invariati rispetto alla versione precedente.

🧩 Nota importante

Assicurati di avere installato il pacchetto lm-sensors e che il comando sensors funzioni correttamente nel tuo sistema (~~client~~sudo Socket.ioapt install lm-sensors + ~~grafici~~sudo +sensors-detect).
~~gestione~~

~~storage~~

~~con~~
Il ~~barre)~~backend
esegue
js
il
comando
sensors
ogni
2

document.addEventListener('DOMContentLoaded', () => { const socket = io(); const maxDataPoints = 30; // Funzionesecondi per creareottenere unla graficotemperatura lineare con Chart.js function createChart(ctx, label, color, unit = '') { if (!ctx) return null; return new Chart(ctx, { type: 'line', data: { labels: Array(maxDataPoints).fill(''), datasets: [{ label: label, data: Array(maxDataPoints).fill(0), borderColor: color, backgroundColor: color + '44', fill: true, tension: 0.3, pointRadius: 0, }] }, options: { animation: false, responsive: true, maintainAspectRatio: false, scales: { x: { display: false }, y: { beginAtZero: true, ticks: { callback: val => val + unit } } }, plugins: { legend: { display: true }, } } }); } // Crea tutti i grafici const charts = { cpu: createChart(document.getElementById('chartCpu')?.getContext('2d'), 'CPU %',in '#ff6384',modo '%'),più ram:affidabile createChart(documentrispetto a systeminformation.getElementById('chartRam')?.getContext('2d'), 'RAM


GB', '#36a2eb', 'GB'),
    disk: createChart(document.getElementById('chartDisk')?.getContext('2d'), 'Disco GB usati', '#ffce56', 'GB'),
    temp: createChart(document.getElementById('chartTemp')?.getContext('2d'), 'Temperatura °C', '#ff9f40', '°C'),
    net: createChart(document.getElementById('chartNet')?.getContext('2d'), 'Rete KB/s', '#4bc0c0', 'KB/s'),
    gpu: createChart(document.getElementById('chartGpu')?.getContext('2d'), 'GPU %', '#9966ff', '%'),
  };

  // Aggiorna i dati di un grafico (scorrimento dati)
  function updateChart(chart, value)

Dashboard di monitoraggio

✅ Obiettivo

🧱 Stack Tecnologico

📁 Struttura del progetto

⚙️ Codice

📄 server.js (backend con Socket.io + Express)

📄 public/index.html (dashboard + PWA)

🎨 public/style.css (tema scuro)

📈 public/script.js (client Socket.io + grafici)

🌐 public/manifest.json

🛠️ public/service-worker.js

🖼️ Icone (cartella public/icons)

Update

🔧 1. Backend – server.js

📊 2. Frontend – script.js

🧩 3. HTML – inserisci i contenitori nella pagina

📌 4. Riepilogo

Versione 2.0

Guida aggiornata: Dashboard di monitoraggio server Ubuntu viacon SSHtemperatura CPU da sensors

✅ Obiettivo

🧱 Stack Tecnologico

📁 Struttura del progetto

⚙️ Codice

📄 server.js (backend con Socket.io + Express + systeminformation)sensors per temperatura CPU)

📄Gli altri file (public/index.html (Dashboard + PWA)

🎨 public/style.css (Tema scuro + Stile storage)

📈 public/script.js, manifest.json, service-worker.js) restano invariati rispetto alla versione precedente.

🧩 Nota importante

📄 `server.js` (backend con Socket.io + Express)

📄 `public/index.html` (dashboard + PWA)

🎨 `public/style.css` (tema scuro)

📈 `public/script.js` (client Socket.io + grafici)

🌐 `public/manifest.json`

🛠️ `public/service-worker.js`

🖼️ Icone (cartella `public/icons`)

🔧 1. Backend – `server.js`

📊 2. Frontend – `script.js`

📄 `server.js` (backend con Socket.io + Express + systeminformation)`sensors` per temperatura CPU)

📄Gli altri file (`public/index.html` (Dashboard + PWA)

🎨 `public/style.css` (Tema scuro + Stile storage)

📈 `public/script.js`, `manifest.json`, `service-worker.js`) restano invariati rispetto alla versione precedente.