noctalia-shell/Services/System/SystemStatService.qml

pragma Singleton
import Qt.labs.folderlistmodel

import QtQuick
import Quickshell
import Quickshell.Io
import qs.Commons

Singleton {
  id: root

  // Configuration
  readonly property int minimumIntervalMs: 250
  readonly property int defaultIntervalMs: 3000

  function normalizeInterval(value) {
    return Math.max(minimumIntervalMs, value || defaultIntervalMs);
  }

  // Public values
  property real cpuUsage: 0
  property real cpuTemp: 0
  property real gpuTemp: 0
  property bool gpuAvailable: false
  property string gpuType: "" // "amd", "intel", "nvidia"
  property real memGb: 0
  property real memPercent: 0
  property var diskPercents: ({})
  property real rxSpeed: 0
  property real txSpeed: 0

  // Internal state for CPU calculation
  property var prevCpuStats: null

  // Internal state for network speed calculation
  // Previous Bytes need to be stored as 'real' as they represent the total of bytes transfered
  // since the computer started, so their value will easily overlfow a 32bit int.
  property real prevRxBytes: 0
  property real prevTxBytes: 0
  property real prevTime: 0

  // Cpu temperature is the most complex
  readonly property var supportedTempCpuSensorNames: ["coretemp", "k10temp", "zenpower"]
  property string cpuTempSensorName: ""
  property string cpuTempHwmonPath: ""
  // For Intel coretemp averaging of all cores/sensors
  property var intelTempValues: []
  property int intelTempFilesChecked: 0
  property int intelTempMaxFiles: 20 // Will test up to temp20_input

  // GPU temperature detection
  // On dual-GPU systems, we prioritize discrete GPUs over integrated GPUs
  // Priority: NVIDIA (opt-in) > AMD dGPU > Intel Arc > AMD iGPU
  // Note: NVIDIA requires opt-in because nvidia-smi wakes the dGPU on laptops, draining battery
  readonly property var supportedTempGpuSensorNames: ["amdgpu", "xe"]
  property string gpuTempHwmonPath: ""
  property var foundGpuSensors: [] // [{hwmonPath, type, hasDedicatedVram}]
  property int gpuVramCheckIndex: 0

  // --------------------------------------------
  Component.onCompleted: {
    Logger.i("SystemStat", "Service started with custom polling intervals");

    // Kickoff the cpu name detection for temperature
    cpuTempNameReader.checkNext();

    // Kickoff the gpu sensor detection for temperature
    gpuTempNameReader.checkNext();
  }

  // Re-run GPU detection when NVIDIA opt-in setting changes
  Connections {
    target: Settings.data.systemMonitor
    function onEnableNvidiaGpuChanged() {
      Logger.i("SystemStat", "NVIDIA opt-in setting changed, re-detecting GPUs");
      restartGpuDetection();
    }
  }

  function restartGpuDetection() {
    // Reset GPU state
    root.gpuAvailable = false;
    root.gpuType = "";
    root.gpuTempHwmonPath = "";
    root.gpuTemp = 0;
    root.foundGpuSensors = [];
    root.gpuVramCheckIndex = 0;

    // Restart GPU detection
    gpuTempNameReader.currentIndex = 0;
    gpuTempNameReader.checkNext();
  }

  // --------------------------------------------
  // Timer for CPU usage
  Timer {
    id: cpuUsageTimer
    interval: root.normalizeInterval(Settings.data.systemMonitor.cpuPollingInterval)
    repeat: true
    running: true
    triggeredOnStart: true
    onIntervalChanged: {
      if (running) {
        restart();
      }
    }
    onTriggered: cpuStatFile.reload()
  }

  // Timer for CPU temperature
  Timer {
    id: cpuTempTimer
    interval: root.normalizeInterval(Settings.data.systemMonitor.tempPollingInterval)
    repeat: true
    running: true
    triggeredOnStart: true
    onIntervalChanged: {
      if (running) {
        restart();
      }
    }
    onTriggered: updateCpuTemperature()
  }

  // Timer for memory stats
  Timer {
    id: memoryTimer
    interval: root.normalizeInterval(Settings.data.systemMonitor.memPollingInterval)
    repeat: true
    running: true
    triggeredOnStart: true
    onIntervalChanged: {
      if (running) {
        restart();
      }
    }
    onTriggered: memInfoFile.reload()
  }

  // Timer for disk usage
  Timer {
    id: diskTimer
    interval: root.normalizeInterval(Settings.data.systemMonitor.diskPollingInterval)
    repeat: true
    running: true
    triggeredOnStart: true
    onIntervalChanged: {
      if (running) {
        restart();
      }
    }
    onTriggered: dfProcess.running = true
  }

  // Timer for network speeds
  Timer {
    id: networkTimer
    interval: root.normalizeInterval(Settings.data.systemMonitor.networkPollingInterval)
    repeat: true
    running: true
    triggeredOnStart: true
    onIntervalChanged: {
      if (running) {
        restart();
      }
    }
    onTriggered: netDevFile.reload()
  }

  // Timer for GPU temperature
  Timer {
    id: gpuTempTimer
    interval: root.normalizeInterval(Settings.data.systemMonitor.gpuPollingInterval)
    repeat: true
    running: root.gpuAvailable
    triggeredOnStart: true
    onIntervalChanged: {
      if (running) {
        restart();
      }
    }
    onTriggered: updateGpuTemperature()
  }

  // --------------------------------------------
  // FileView components for reading system files
  FileView {
    id: memInfoFile
    path: "/proc/meminfo"
    onLoaded: parseMemoryInfo(text())
  }

  FileView {
    id: cpuStatFile
    path: "/proc/stat"
    onLoaded: calculateCpuUsage(text())
  }

  FileView {
    id: netDevFile
    path: "/proc/net/dev"
    onLoaded: calculateNetworkSpeed(text())
  }

  // --------------------------------------------
  // Process to fetch disk usage in percent
  // Uses 'df' aka 'disk free'
  // "-x efivarfs' skips efivarfs mountpoints, for which the `statfs` syscall may cause system-wide stuttering
  Process {
    id: dfProcess
    command: ["df", "--output=target,pcent", "-x", "efivarfs"]
    running: false
    stdout: StdioCollector {
      onStreamFinished: {
        const lines = text.trim().split('\n');
        const newPercents = {};
        // Start from line 1 (skip header)
        for (var i = 1; i < lines.length; i++) {
          const parts = lines[i].trim().split(/\s+/);
          if (parts.length >= 2) {
            const target = parts[0];
            const percent = parseInt(parts[1].replace(/[^0-9]/g, '')) || 0;
            newPercents[target] = percent;
          }
        }
        root.diskPercents = newPercents;
      }
    }
  }

  // --------------------------------------------
  // --------------------------------------------
  // CPU Temperature
  // It's more complex.
  // ----
  // #1 - Find a common cpu sensor name ie: "coretemp", "k10temp", "zenpower"
  FileView {
    id: cpuTempNameReader
    property int currentIndex: 0
    printErrors: false

    function checkNext() {
      if (currentIndex >= 16) {
        // Check up to hwmon10
        Logger.w("No supported temperature sensor found");
        return;
      }

      //Logger.i("SystemStat", "---- Probing: hwmon", currentIndex)
      cpuTempNameReader.path = `/sys/class/hwmon/hwmon${currentIndex}/name`;
      cpuTempNameReader.reload();
    }

    onLoaded: {
      const name = text().trim();
      if (root.supportedTempCpuSensorNames.includes(name)) {
        root.cpuTempSensorName = name;
        root.cpuTempHwmonPath = `/sys/class/hwmon/hwmon${currentIndex}`;
        Logger.i("SystemStat", `Found ${root.cpuTempSensorName} CPU thermal sensor at ${root.cpuTempHwmonPath}`);
      } else {
        currentIndex++;
        Qt.callLater(() => {
                       // Qt.callLater is mandatory
                       checkNext();
                     });
      }
    }

    onLoadFailed: function (error) {
      currentIndex++;
      Qt.callLater(() => {
                     // Qt.callLater is mandatory
                     checkNext();
                   });
    }
  }

  // ----
  // #2 - Read sensor value
  FileView {
    id: cpuTempReader
    printErrors: false

    onLoaded: {
      const data = text().trim();
      if (root.cpuTempSensorName === "coretemp") {
        // For Intel, collect all temperature values
        const temp = parseInt(data) / 1000.0;
        //console.log(temp, cpuTempReader.path)
        root.intelTempValues.push(temp);
        Qt.callLater(() => {
                       // Qt.callLater is mandatory
                       checkNextIntelTemp();
                     });
      } else {
        // For AMD sensors (k10temp and zenpower), directly set the temperature
        root.cpuTemp = Math.round(parseInt(data) / 1000.0);
      }
    }
    onLoadFailed: function (error) {
      Qt.callLater(() => {
                     // Qt.callLater is mandatory
                     checkNextIntelTemp();
                   });
    }
  }

  // --------------------------------------------
  // --------------------------------------------
  // GPU Temperature
  // On dual-GPU systems (e.g., Intel iGPU + NVIDIA dGPU, or AMD APU + AMD dGPU),
  // we scan all hwmon entries, then select the best GPU based on priority.
  // ----
  // #1 - Scan all hwmon entries to find GPU sensors
  FileView {
    id: gpuTempNameReader
    property int currentIndex: 0
    printErrors: false

    function checkNext() {
      if (currentIndex >= 16) {
        // Finished scanning all hwmon entries
        // Only check nvidia-smi if user has explicitly enabled NVIDIA monitoring (opt-in)
        // because nvidia-smi wakes up the dGPU on laptops, draining battery
        if (Settings.data.systemMonitor.enableNvidiaGpu) {
          Logger.d("SystemStat", `Found ${root.foundGpuSensors.length} sysfs GPU sensor(s), checking nvidia-smi (opt-in enabled)`);
          nvidiaSmiCheck.running = true;
        } else {
          Logger.d("SystemStat", `Found ${root.foundGpuSensors.length} sysfs GPU sensor(s), skipping nvidia-smi (opt-in disabled)`);
          root.gpuVramCheckIndex = 0;
          checkNextGpuVram();
        }
        return;
      }

      gpuTempNameReader.path = `/sys/class/hwmon/hwmon${currentIndex}/name`;
      gpuTempNameReader.reload();
    }

    onLoaded: {
      const name = text().trim();
      if (root.supportedTempGpuSensorNames.includes(name)) {
        // Collect this GPU sensor, don't stop - continue scanning for more
        const hwmonPath = `/sys/class/hwmon/hwmon${currentIndex}`;
        const gpuType = name === "amdgpu" ? "amd" : "intel";
        root.foundGpuSensors.push({
                                    "hwmonPath": hwmonPath,
                                    "type": gpuType,
                                    "hasDedicatedVram": false // Will be checked later for AMD
                                  });
        Logger.d("SystemStat", `Found ${name} GPU sensor at ${hwmonPath}`);
      }
      // Continue scanning regardless of whether we found a match
      currentIndex++;
      Qt.callLater(() => {
                     checkNext();
                   });
    }

    onLoadFailed: function (error) {
      currentIndex++;
      Qt.callLater(() => {
                     checkNext();
                   });
    }
  }

  // ----
  // #2 - Read GPU sensor value (AMD/Intel via sysfs)
  FileView {
    id: gpuTempReader
    printErrors: false

    onLoaded: {
      const data = text().trim();
      root.gpuTemp = Math.round(parseInt(data) / 1000.0);
    }
  }

  // ----
  // #3 - Check if nvidia-smi is available (for NVIDIA GPUs)
  Process {
    id: nvidiaSmiCheck
    command: ["which", "nvidia-smi"]
    running: false
    stdout: StdioCollector {
      onStreamFinished: {
        if (text.trim().length > 0) {
          // Add NVIDIA as a GPU option (always discrete, highest priority)
          root.foundGpuSensors.push({
                                      "hwmonPath": "",
                                      "type": "nvidia",
                                      "hasDedicatedVram": true // NVIDIA is always discrete
                                    });
          Logger.d("SystemStat", "Found NVIDIA GPU (nvidia-smi available)");
        }
        // After NVIDIA check, check VRAM for AMD GPUs to distinguish dGPU from iGPU
        root.gpuVramCheckIndex = 0;
        checkNextGpuVram();
      }
    }
  }

  // ----
  // #4 - Check VRAM for AMD GPUs to distinguish dGPU from iGPU
  // dGPUs have dedicated VRAM, iGPUs don't (use system RAM)
  FileView {
    id: gpuVramChecker
    printErrors: false

    onLoaded: {
      // File exists and has content = dGPU with dedicated VRAM
      const vramSize = parseInt(text().trim());
      if (vramSize > 0) {
        root.foundGpuSensors[root.gpuVramCheckIndex].hasDedicatedVram = true;
        Logger.d("SystemStat", `GPU at ${root.foundGpuSensors[root.gpuVramCheckIndex].hwmonPath} has dedicated VRAM (dGPU)`);
      }
      root.gpuVramCheckIndex++;
      Qt.callLater(() => {
                     checkNextGpuVram();
                   });
    }

    onLoadFailed: function (error) {
      // File doesn't exist = iGPU (no dedicated VRAM)
      // hasDedicatedVram is already false by default
      root.gpuVramCheckIndex++;
      Qt.callLater(() => {
                     checkNextGpuVram();
                   });
    }
  }

  // ----
  // #4 - Read GPU temperature via nvidia-smi (NVIDIA only)
  Process {
    id: nvidiaTempProcess
    command: ["nvidia-smi", "--query-gpu=temperature.gpu", "--format=csv,noheader,nounits"]
    running: false
    stdout: StdioCollector {
      onStreamFinished: {
        const temp = parseInt(text.trim());
        if (!isNaN(temp)) {
          root.gpuTemp = temp;
        }
      }
    }
  }

  // -------------------------------------------------------
  // -------------------------------------------------------
  // Parse memory info from /proc/meminfo
  function parseMemoryInfo(text) {
    if (!text)
      return;
    const lines = text.split('\n');
    let memTotal = 0;
    let memAvailable = 0;

    for (const line of lines) {
      if (line.startsWith('MemTotal:')) {
        memTotal = parseInt(line.split(/\s+/)[1]) || 0;
      } else if (line.startsWith('MemAvailable:')) {
        memAvailable = parseInt(line.split(/\s+/)[1]) || 0;
      }
    }

    if (memTotal > 0) {
      const usageKb = memTotal - memAvailable;
      root.memGb = (usageKb / 1048576).toFixed(1); // 1024*1024 = 1048576
      root.memPercent = Math.round((usageKb / memTotal) * 100);
    }
  }

  // -------------------------------------------------------
  // Calculate CPU usage from /proc/stat
  function calculateCpuUsage(text) {
    if (!text)
      return;
    const lines = text.split('\n');
    const cpuLine = lines[0];

    // First line is total CPU
    if (!cpuLine.startsWith('cpu '))
      return;
    const parts = cpuLine.split(/\s+/);
    const stats = {
      "user": parseInt(parts[1]) || 0,
      "nice": parseInt(parts[2]) || 0,
      "system": parseInt(parts[3]) || 0,
      "idle": parseInt(parts[4]) || 0,
      "iowait": parseInt(parts[5]) || 0,
      "irq": parseInt(parts[6]) || 0,
      "softirq": parseInt(parts[7]) || 0,
      "steal": parseInt(parts[8]) || 0,
      "guest": parseInt(parts[9]) || 0,
      "guestNice": parseInt(parts[10]) || 0
    };
    const totalIdle = stats.idle + stats.iowait;
    const total = Object.values(stats).reduce((sum, val) => sum + val, 0);

    if (root.prevCpuStats) {
      const prevTotalIdle = root.prevCpuStats.idle + root.prevCpuStats.iowait;
      const prevTotal = Object.values(root.prevCpuStats).reduce((sum, val) => sum + val, 0);

      const diffTotal = total - prevTotal;
      const diffIdle = totalIdle - prevTotalIdle;

      if (diffTotal > 0) {
        root.cpuUsage = (((diffTotal - diffIdle) / diffTotal) * 100).toFixed(1);
      }
    }

    root.prevCpuStats = stats;
  }

  // -------------------------------------------------------
  // Calculate RX and TX speed from /proc/net/dev
  // Average speed of all interfaces excepted 'lo'
  function calculateNetworkSpeed(text) {
    if (!text) {
      return;
    }

    const currentTime = Date.now() / 1000;
    const lines = text.split('\n');

    let totalRx = 0;
    let totalTx = 0;

    for (var i = 2; i < lines.length; i++) {
      const line = lines[i].trim();
      if (!line) {
        continue;
      }

      const colonIndex = line.indexOf(':');
      if (colonIndex === -1) {
        continue;
      }

      const iface = line.substring(0, colonIndex).trim();
      if (iface === 'lo') {
        continue;
      }

      const statsLine = line.substring(colonIndex + 1).trim();
      const stats = statsLine.split(/\s+/);

      const rxBytes = parseInt(stats[0], 10) || 0;
      const txBytes = parseInt(stats[8], 10) || 0;

      totalRx += rxBytes;
      totalTx += txBytes;
    }

    // Compute only if we have a previous run to compare to.
    if (root.prevTime > 0) {
      const timeDiff = currentTime - root.prevTime;

      // Avoid division by zero if time hasn't passed.
      if (timeDiff > 0) {
        let rxDiff = totalRx - root.prevRxBytes;
        let txDiff = totalTx - root.prevTxBytes;

        // Handle counter resets (e.g., WiFi reconnect), which would cause a negative value.
        if (rxDiff < 0) {
          rxDiff = 0;
        }
        if (txDiff < 0) {
          txDiff = 0;
        }

        root.rxSpeed = Math.round(rxDiff / timeDiff); // Speed in Bytes/s
        root.txSpeed = Math.round(txDiff / timeDiff);
      }
    }

    root.prevRxBytes = totalRx;
    root.prevTxBytes = totalTx;
    root.prevTime = currentTime;
  }

  // -------------------------------------------------------
  // Helper function to format network speeds
  function formatSpeed(bytesPerSecond) {
    if (bytesPerSecond < 1024 * 1024) {
      const kb = bytesPerSecond / 1024;
      if (kb < 10) {
        return kb.toFixed(1) + "KB";
      } else {
        return Math.round(kb) + "KB";
      }
    } else if (bytesPerSecond < 1024 * 1024 * 1024) {
      return (bytesPerSecond / (1024 * 1024)).toFixed(1) + "MB";
    } else {
      return (bytesPerSecond / (1024 * 1024 * 1024)).toFixed(1) + "GB";
    }
  }

  // -------------------------------------------------------
  // Compact speed formatter for vertical bar display
  function formatCompactSpeed(bytesPerSecond) {
    if (!bytesPerSecond || bytesPerSecond <= 0)
      return "0";
    const units = ["", "K", "M", "G"];
    let value = bytesPerSecond;
    let unitIndex = 0;
    while (value >= 1024 && unitIndex < units.length - 1) {
      value = value / 1024.0;
      unitIndex++;
    }
    // Promote at ~100 of current unit (e.g., 100k -> ~0.1M shown as 0.1M or 0M if rounded)
    if (unitIndex < units.length - 1 && value >= 100) {
      value = value / 1024.0;
      unitIndex++;
    }
    const display = Math.round(value).toString();
    return display + units[unitIndex];
  }

  // -------------------------------------------------------
  // Function to start fetching and computing the cpu temperature
  function updateCpuTemperature() {
    // For AMD sensors (k10temp and zenpower), only use Tctl sensor
    // temp1_input corresponds to Tctl (Temperature Control) on these sensors
    if (root.cpuTempSensorName === "k10temp" || root.cpuTempSensorName === "zenpower") {
      cpuTempReader.path = `${root.cpuTempHwmonPath}/temp1_input`;
      cpuTempReader.reload();
    } // For Intel coretemp, start averaging all available sensors/cores
    else if (root.cpuTempSensorName === "coretemp") {
      root.intelTempValues = [];
      root.intelTempFilesChecked = 0;
      checkNextIntelTemp();
    }
  }

  // -------------------------------------------------------
  // Function to check next Intel temperature sensor
  function checkNextIntelTemp() {
    if (root.intelTempFilesChecked >= root.intelTempMaxFiles) {
      // Calculate average of all found temperatures
      if (root.intelTempValues.length > 0) {
        let sum = 0;
        for (var i = 0; i < root.intelTempValues.length; i++) {
          sum += root.intelTempValues[i];
        }
        root.cpuTemp = Math.round(sum / root.intelTempValues.length);
        //Logger.i("SystemStat", `Averaged ${root.intelTempValues.length} CPU thermal sensors: ${root.cpuTemp}°C`)
      } else {
        Logger.w("SystemStat", "No temperature sensors found for coretemp");
        root.cpuTemp = 0;
      }
      return;
    }

    // Check next temperature file
    root.intelTempFilesChecked++;
    cpuTempReader.path = `${root.cpuTempHwmonPath}/temp${root.intelTempFilesChecked}_input`;
    cpuTempReader.reload();
  }

  // -------------------------------------------------------
  // Function to check VRAM for each AMD GPU to determine if it's a dGPU
  function checkNextGpuVram() {
    // Skip non-AMD GPUs (NVIDIA and Intel Arc are always discrete)
    while (root.gpuVramCheckIndex < root.foundGpuSensors.length) {
      const gpu = root.foundGpuSensors[root.gpuVramCheckIndex];
      if (gpu.type === "amd") {
        // Check for dedicated VRAM at hwmonPath/device/mem_info_vram_total
        gpuVramChecker.path = `${gpu.hwmonPath}/device/mem_info_vram_total`;
        gpuVramChecker.reload();
        return;
      }
      // Skip non-AMD GPUs
      root.gpuVramCheckIndex++;
    }

    // All VRAM checks complete, now select the best GPU
    selectBestGpu();
  }

  // -------------------------------------------------------
  // Function to select the best GPU based on priority
  // Priority: NVIDIA > AMD dGPU > Intel Arc > AMD iGPU
  function selectBestGpu() {
    if (root.foundGpuSensors.length === 0) {
      Logger.d("SystemStat", "No GPU temperature sensor found");
      return;
    }

    let best = null;

    for (var i = 0; i < root.foundGpuSensors.length; i++) {
      const gpu = root.foundGpuSensors[i];

      // NVIDIA is always highest priority (always discrete)
      if (gpu.type === "nvidia") {
        best = gpu;
        break;
      }

      // AMD dGPU is second priority
      if (gpu.type === "amd" && gpu.hasDedicatedVram) {
        best = gpu;
        break;
      }

      // Intel Arc is third priority (always discrete)
      if (gpu.type === "intel" && !best) {
        best = gpu;
      }

      // AMD iGPU is lowest priority (fallback)
      if (gpu.type === "amd" && !gpu.hasDedicatedVram && !best) {
        best = gpu;
      }
    }

    if (best) {
      root.gpuTempHwmonPath = best.hwmonPath;
      root.gpuType = best.type;
      root.gpuAvailable = true;

      const gpuDesc = best.type === "nvidia" ? "NVIDIA" : (best.type === "intel" ? "Intel Arc" : (best.hasDedicatedVram ? "AMD dGPU" : "AMD iGPU"));
      Logger.i("SystemStat", `Selected ${gpuDesc} for temperature monitoring at ${best.hwmonPath || "nvidia-smi"}`);
    }
  }

  // -------------------------------------------------------
  // Function to update GPU temperature
  function updateGpuTemperature() {
    if (root.gpuType === "nvidia") {
      nvidiaTempProcess.running = true;
    } else if (root.gpuType === "amd" || root.gpuType === "intel") {
      gpuTempReader.path = `${root.gpuTempHwmonPath}/temp1_input`;
      gpuTempReader.reload();
    }
  }
}