mirror of
https://github.com/noctalia-dev/noctalia-shell.git
synced 2026-05-11 17:08:27 +08:00
Lemmy
1040 lines
34 KiB
QML
1040 lines
34 KiB
QML
pragma Singleton
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import Qt.labs.folderlistmodel
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import QtQuick
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import Quickshell
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import Quickshell.Io
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import qs.Commons
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Singleton {
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id: root
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// Configuration
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readonly property int minimumIntervalMs: 250
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readonly property int defaultIntervalMs: 3000
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function normalizeInterval(value) {
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return Math.max(minimumIntervalMs, value || defaultIntervalMs);
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}
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// Public values
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property real cpuUsage: 0
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property real cpuTemp: 0
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property real gpuTemp: 0
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property bool gpuAvailable: false
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property string gpuType: "" // "amd", "intel", "nvidia"
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property real memGb: 0
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property real memPercent: 0
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property var diskPercents: ({})
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property var diskUsedGb: ({}) // Used space in GB per mount point
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property var diskSizeGb: ({}) // Total size in GB per mount point
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property real rxSpeed: 0
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property real txSpeed: 0
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property real zfsArcSizeKb: 0 // ZFS ARC cache size in KB
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property real zfsArcCminKb: 0 // ZFS ARC minimum (non-reclaimable) size in KB
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property real loadAvg1: 0
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property real loadAvg5: 0
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property real loadAvg15: 0
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property int nproc: 0 // Number of cpu cores
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// Network max speed tracking (learned over time, cached for 7 days)
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readonly property real rxMaxSpeed: {
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const peaks = networkStatsAdapter.rxPeaks || [];
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return peaks.length > 0 ? Math.max(...peaks.map(p => p.speed)) : 0;
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}
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readonly property real txMaxSpeed: {
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const peaks = networkStatsAdapter.txPeaks || [];
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return peaks.length > 0 ? Math.max(...peaks.map(p => p.speed)) : 0;
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}
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// Ready-to-use ratios based on learned maximums (0..1 range)
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readonly property real rxRatio: rxMaxSpeed > 0 ? Math.min(1, rxSpeed / rxMaxSpeed) : 0
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readonly property real txRatio: txMaxSpeed > 0 ? Math.min(1, txSpeed / txMaxSpeed) : 0
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// Color resolution (respects useCustomColors setting)
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readonly property color warningColor: Settings.data.systemMonitor.useCustomColors ? (Settings.data.systemMonitor.warningColor || Color.mTertiary) : Color.mTertiary
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readonly property color criticalColor: Settings.data.systemMonitor.useCustomColors ? (Settings.data.systemMonitor.criticalColor || Color.mError) : Color.mError
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// Threshold values from settings
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readonly property int cpuWarningThreshold: Settings.data.systemMonitor.cpuWarningThreshold
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readonly property int cpuCriticalThreshold: Settings.data.systemMonitor.cpuCriticalThreshold
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readonly property int tempWarningThreshold: Settings.data.systemMonitor.tempWarningThreshold
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readonly property int tempCriticalThreshold: Settings.data.systemMonitor.tempCriticalThreshold
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readonly property int gpuWarningThreshold: Settings.data.systemMonitor.gpuWarningThreshold
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readonly property int gpuCriticalThreshold: Settings.data.systemMonitor.gpuCriticalThreshold
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readonly property int memWarningThreshold: Settings.data.systemMonitor.memWarningThreshold
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readonly property int memCriticalThreshold: Settings.data.systemMonitor.memCriticalThreshold
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readonly property int diskWarningThreshold: Settings.data.systemMonitor.diskWarningThreshold
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readonly property int diskCriticalThreshold: Settings.data.systemMonitor.diskCriticalThreshold
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// Computed warning/critical states (uses >= inclusive comparison)
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readonly property bool cpuWarning: cpuUsage >= cpuWarningThreshold
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readonly property bool cpuCritical: cpuUsage >= cpuCriticalThreshold
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readonly property bool tempWarning: cpuTemp >= tempWarningThreshold
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readonly property bool tempCritical: cpuTemp >= tempCriticalThreshold
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readonly property bool gpuWarning: gpuAvailable && gpuTemp >= gpuWarningThreshold
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readonly property bool gpuCritical: gpuAvailable && gpuTemp >= gpuCriticalThreshold
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readonly property bool memWarning: memPercent >= memWarningThreshold
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readonly property bool memCritical: memPercent >= memCriticalThreshold
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// Helper functions for disk (disk path is dynamic)
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function isDiskWarning(diskPath) {
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return (diskPercents[diskPath] || 0) >= diskWarningThreshold;
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}
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function isDiskCritical(diskPath) {
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return (diskPercents[diskPath] || 0) >= diskCriticalThreshold;
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}
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// Ready-to-use stat colors (for gauges, panels, icons)
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readonly property color cpuColor: cpuCritical ? criticalColor : (cpuWarning ? warningColor : Color.mPrimary)
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readonly property color tempColor: tempCritical ? criticalColor : (tempWarning ? warningColor : Color.mPrimary)
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readonly property color gpuColor: gpuCritical ? criticalColor : (gpuWarning ? warningColor : Color.mPrimary)
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readonly property color memColor: memCritical ? criticalColor : (memWarning ? warningColor : Color.mPrimary)
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function getDiskColor(diskPath) {
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return isDiskCritical(diskPath) ? criticalColor : (isDiskWarning(diskPath) ? warningColor : Color.mPrimary);
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}
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// Helper function for color resolution based on value and thresholds
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function getStatColor(value, warningThreshold, criticalThreshold) {
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if (value >= criticalThreshold)
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return criticalColor;
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if (value >= warningThreshold)
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return warningColor;
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return Color.mPrimary;
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}
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// Internal state for CPU calculation
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property var prevCpuStats: null
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// Internal state for network speed calculation
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// Previous Bytes need to be stored as 'real' as they represent the total of bytes transfered
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// since the computer started, so their value will easily overlfow a 32bit int.
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property real prevRxBytes: 0
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property real prevTxBytes: 0
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property real prevTime: 0
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// Cpu temperature is the most complex
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readonly property var supportedTempCpuSensorNames: ["coretemp", "k10temp", "zenpower"]
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property string cpuTempSensorName: ""
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property string cpuTempHwmonPath: ""
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// For Intel coretemp averaging of all cores/sensors
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property var intelTempValues: []
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property int intelTempFilesChecked: 0
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property int intelTempMaxFiles: 20 // Will test up to temp20_input
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// GPU temperature detection
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// On dual-GPU systems, we prioritize discrete GPUs over integrated GPUs
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// Priority: NVIDIA (opt-in) > AMD dGPU > Intel Arc > AMD iGPU
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// Note: NVIDIA requires opt-in because nvidia-smi wakes the dGPU on laptops, draining battery
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readonly property var supportedTempGpuSensorNames: ["amdgpu", "xe"]
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property string gpuTempHwmonPath: ""
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property var foundGpuSensors: [] // [{hwmonPath, type, hasDedicatedVram}]
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property int gpuVramCheckIndex: 0
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// --------------------------------------------
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// Network speed stats cache (7-day rolling window)
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property string networkStatsFile: Settings.cacheDir + "network_stats.json"
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FileView {
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id: networkStatsView
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path: root.networkStatsFile
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printErrors: false
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JsonAdapter {
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id: networkStatsAdapter
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property var rxPeaks: []
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property var txPeaks: []
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}
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onLoadFailed: {
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networkStatsAdapter.rxPeaks = [];
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networkStatsAdapter.txPeaks = [];
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}
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onLoaded: {
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root.pruneExpiredPeaks();
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}
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}
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Timer {
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id: networkStatsSaveDebounce
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interval: 1000
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onTriggered: networkStatsView.writeAdapter()
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}
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function pruneExpiredPeaks() {
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const sevenDaysMs = 7 * 24 * 60 * 60 * 1000;
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const cutoff = Date.now() - sevenDaysMs;
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const rxBefore = (networkStatsAdapter.rxPeaks || []).length;
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const txBefore = (networkStatsAdapter.txPeaks || []).length;
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networkStatsAdapter.rxPeaks = (networkStatsAdapter.rxPeaks || []).filter(p => p.timestamp > cutoff);
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networkStatsAdapter.txPeaks = (networkStatsAdapter.txPeaks || []).filter(p => p.timestamp > cutoff);
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// Save if any were pruned
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if (networkStatsAdapter.rxPeaks.length !== rxBefore || networkStatsAdapter.txPeaks.length !== txBefore) {
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networkStatsSaveDebounce.restart();
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}
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}
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// --------------------------------------------
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Component.onCompleted: {
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Logger.i("SystemStat", "Service started with custom polling intervals");
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// Kickoff the cpu name detection for temperature
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cpuTempNameReader.checkNext();
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// Kickoff the gpu sensor detection for temperature
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gpuTempNameReader.checkNext();
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// Check for ZFS ARC stats on startup
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zfsArcStatsFile.reload();
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// Get nproc on startup
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nprocProcess.running = true;
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// Get initial load average
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loadAvgFile.reload();
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}
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// Re-run GPU detection when dGPU opt-in setting changes
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Connections {
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target: Settings.data.systemMonitor
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function onEnableDgpuMonitoringChanged() {
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Logger.i("SystemStat", "dGPU monitoring opt-in setting changed, re-detecting GPUs");
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restartGpuDetection();
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}
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}
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function restartGpuDetection() {
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// Reset GPU state
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root.gpuAvailable = false;
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root.gpuType = "";
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root.gpuTempHwmonPath = "";
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root.gpuTemp = 0;
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root.foundGpuSensors = [];
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root.gpuVramCheckIndex = 0;
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// Restart GPU detection
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gpuTempNameReader.currentIndex = 0;
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gpuTempNameReader.checkNext();
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}
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// --------------------------------------------
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// Timer for CPU usage
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Timer {
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id: cpuUsageTimer
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interval: root.normalizeInterval(Settings.data.systemMonitor.cpuPollingInterval)
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repeat: true
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running: true
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triggeredOnStart: true
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onIntervalChanged: {
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if (running) {
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restart();
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}
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}
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onTriggered: cpuStatFile.reload()
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}
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// Timer for load average
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Timer {
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id: loadAvgTimer
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interval: root.normalizeInterval(Settings.data.systemMonitor.loadAvgPollingInterval)
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repeat: true
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running: true
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triggeredOnStart: true
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onIntervalChanged: {
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if (running) {
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restart();
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}
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}
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onTriggered: loadAvgFile.reload()
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}
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// Timer for CPU temperature
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Timer {
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id: cpuTempTimer
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interval: root.normalizeInterval(Settings.data.systemMonitor.tempPollingInterval)
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repeat: true
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running: true
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triggeredOnStart: true
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onIntervalChanged: {
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if (running) {
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restart();
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}
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}
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onTriggered: updateCpuTemperature()
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}
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// Timer for memory stats
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Timer {
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id: memoryTimer
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interval: root.normalizeInterval(Settings.data.systemMonitor.memPollingInterval)
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repeat: true
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running: true
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triggeredOnStart: true
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onIntervalChanged: {
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if (running) {
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restart();
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}
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}
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onTriggered: {
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memInfoFile.reload();
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zfsArcStatsFile.reload();
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}
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}
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// Timer for disk usage
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Timer {
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id: diskTimer
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interval: root.normalizeInterval(Settings.data.systemMonitor.diskPollingInterval)
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repeat: true
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running: true
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triggeredOnStart: true
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onIntervalChanged: {
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if (running) {
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restart();
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}
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}
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onTriggered: dfProcess.running = true
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}
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// Timer for network speeds
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Timer {
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id: networkTimer
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interval: root.normalizeInterval(Settings.data.systemMonitor.networkPollingInterval)
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repeat: true
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running: true
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triggeredOnStart: true
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onIntervalChanged: {
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if (running) {
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restart();
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}
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}
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onTriggered: netDevFile.reload()
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}
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// Timer for GPU temperature
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Timer {
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id: gpuTempTimer
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interval: root.normalizeInterval(Settings.data.systemMonitor.gpuPollingInterval)
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repeat: true
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running: root.gpuAvailable
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triggeredOnStart: true
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onIntervalChanged: {
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if (running) {
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restart();
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}
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}
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onTriggered: updateGpuTemperature()
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}
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// --------------------------------------------
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// FileView components for reading system files
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FileView {
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id: memInfoFile
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path: "/proc/meminfo"
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onLoaded: parseMemoryInfo(text())
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}
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FileView {
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id: cpuStatFile
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path: "/proc/stat"
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onLoaded: calculateCpuUsage(text())
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}
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FileView {
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id: netDevFile
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path: "/proc/net/dev"
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onLoaded: calculateNetworkSpeed(text())
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}
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FileView {
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id: loadAvgFile
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path: "/proc/loadavg"
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onLoaded: parseLoadAverage(text())
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}
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// ZFS ARC stats file (only exists on ZFS systems)
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FileView {
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id: zfsArcStatsFile
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path: "/proc/spl/kstat/zfs/arcstats"
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printErrors: false
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onLoaded: parseZfsArcStats(text())
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onLoadFailed: {
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// File doesn't exist (non-ZFS system), set ARC values to 0
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root.zfsArcSizeKb = 0;
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root.zfsArcCminKb = 0;
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}
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}
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// --------------------------------------------
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// Process to fetch disk usage (percent, used, size)
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// Uses 'df' aka 'disk free'
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// "-x efivarfs' skips efivarfs mountpoints, for which the `statfs` syscall may cause system-wide stuttering
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// --block-size=1 gives us bytes for precise GB calculation
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Process {
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id: dfProcess
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command: ["df", "--output=target,pcent,used,size", "--block-size=1", "-x", "efivarfs"]
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running: false
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stdout: StdioCollector {
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onStreamFinished: {
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const lines = text.trim().split('\n');
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const newPercents = {};
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const newUsedGb = {};
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const newSizeGb = {};
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const bytesPerGb = 1024 * 1024 * 1024;
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// Start from line 1 (skip header)
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for (var i = 1; i < lines.length; i++) {
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const parts = lines[i].trim().split(/\s+/);
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if (parts.length >= 4) {
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const target = parts[0];
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const percent = parseInt(parts[1].replace(/[^0-9]/g, '')) || 0;
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const usedBytes = parseFloat(parts[2]) || 0;
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const sizeBytes = parseFloat(parts[3]) || 0;
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newPercents[target] = percent;
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newUsedGb[target] = usedBytes / bytesPerGb;
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newSizeGb[target] = sizeBytes / bytesPerGb;
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}
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}
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root.diskPercents = newPercents;
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root.diskUsedGb = newUsedGb;
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root.diskSizeGb = newSizeGb;
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}
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}
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}
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// Process to get number of processors
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Process {
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id: nprocProcess
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command: ["nproc"]
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running: false
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stdout: StdioCollector {
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onStreamFinished: {
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root.nproc = parseInt(text.trim());
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}
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}
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}
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// --------------------------------------------
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// --------------------------------------------
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// CPU Temperature
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// It's more complex.
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// ----
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// #1 - Find a common cpu sensor name ie: "coretemp", "k10temp", "zenpower"
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FileView {
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id: cpuTempNameReader
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property int currentIndex: 0
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printErrors: false
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function checkNext() {
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if (currentIndex >= 16) {
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// Check up to hwmon10
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Logger.w("No supported temperature sensor found");
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return;
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}
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//Logger.i("SystemStat", "---- Probing: hwmon", currentIndex)
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cpuTempNameReader.path = `/sys/class/hwmon/hwmon${currentIndex}/name`;
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cpuTempNameReader.reload();
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}
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onLoaded: {
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const name = text().trim();
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if (root.supportedTempCpuSensorNames.includes(name)) {
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root.cpuTempSensorName = name;
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root.cpuTempHwmonPath = `/sys/class/hwmon/hwmon${currentIndex}`;
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Logger.i("SystemStat", `Found ${root.cpuTempSensorName} CPU thermal sensor at ${root.cpuTempHwmonPath}`);
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} else {
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currentIndex++;
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Qt.callLater(() => {
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// Qt.callLater is mandatory
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checkNext();
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});
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}
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}
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onLoadFailed: function (error) {
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currentIndex++;
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Qt.callLater(() => {
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// Qt.callLater is mandatory
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checkNext();
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});
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}
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}
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// ----
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// #2 - Read sensor value
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FileView {
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id: cpuTempReader
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printErrors: false
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onLoaded: {
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const data = text().trim();
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if (root.cpuTempSensorName === "coretemp") {
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// For Intel, collect all temperature values
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const temp = parseInt(data) / 1000.0;
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//console.log(temp, cpuTempReader.path)
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root.intelTempValues.push(temp);
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Qt.callLater(() => {
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// Qt.callLater is mandatory
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checkNextIntelTemp();
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});
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} else {
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// For AMD sensors (k10temp and zenpower), directly set the temperature
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root.cpuTemp = Math.round(parseInt(data) / 1000.0);
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}
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}
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onLoadFailed: function (error) {
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Qt.callLater(() => {
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// Qt.callLater is mandatory
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checkNextIntelTemp();
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});
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}
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}
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// --------------------------------------------
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// --------------------------------------------
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// GPU Temperature
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// On dual-GPU systems (e.g., Intel iGPU + NVIDIA dGPU, or AMD APU + AMD dGPU),
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// we scan all hwmon entries, then select the best GPU based on priority.
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// ----
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// #1 - Scan all hwmon entries to find GPU sensors
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FileView {
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id: gpuTempNameReader
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property int currentIndex: 0
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printErrors: false
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function checkNext() {
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if (currentIndex >= 16) {
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// Finished scanning all hwmon entries
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// Only check nvidia-smi if user has explicitly enabled dGPU monitoring (opt-in)
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// because nvidia-smi wakes up the dGPU on laptops, draining battery
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if (Settings.data.systemMonitor.enableDgpuMonitoring) {
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Logger.d("SystemStat", `Found ${root.foundGpuSensors.length} sysfs GPU sensor(s), checking nvidia-smi (dGPU opt-in enabled)`);
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nvidiaSmiCheck.running = true;
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} else {
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Logger.d("SystemStat", `Found ${root.foundGpuSensors.length} sysfs GPU sensor(s), skipping nvidia-smi (dGPU opt-in disabled)`);
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root.gpuVramCheckIndex = 0;
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checkNextGpuVram();
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}
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return;
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}
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gpuTempNameReader.path = `/sys/class/hwmon/hwmon${currentIndex}/name`;
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gpuTempNameReader.reload();
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}
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onLoaded: {
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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: ["sh", "-c", "command -v 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 ZFS ARC stats from /proc/spl/kstat/zfs/arcstats
|
|
function parseZfsArcStats(text) {
|
|
if (!text)
|
|
return;
|
|
const lines = text.split('\n');
|
|
|
|
// The file format is: name type data
|
|
// We need to find the lines with "size" and "c_min" and extract the values (third column)
|
|
let foundSize = false;
|
|
let foundCmin = false;
|
|
|
|
for (const line of lines) {
|
|
const parts = line.trim().split(/\s+/);
|
|
if (parts.length >= 3) {
|
|
if (parts[0] === 'size') {
|
|
// The value is in bytes, convert to KB
|
|
const arcSizeBytes = parseInt(parts[2]) || 0;
|
|
root.zfsArcSizeKb = Math.floor(arcSizeBytes / 1024);
|
|
foundSize = true;
|
|
} else if (parts[0] === 'c_min') {
|
|
// The value is in bytes, convert to KB
|
|
const arcCminBytes = parseInt(parts[2]) || 0;
|
|
root.zfsArcCminKb = Math.floor(arcCminBytes / 1024);
|
|
foundCmin = true;
|
|
}
|
|
|
|
// If we found both, we can return early
|
|
if (foundSize && foundCmin) {
|
|
return;
|
|
}
|
|
}
|
|
}
|
|
|
|
// If fields not found, set to 0
|
|
if (!foundSize) {
|
|
root.zfsArcSizeKb = 0;
|
|
}
|
|
if (!foundCmin) {
|
|
root.zfsArcCminKb = 0;
|
|
}
|
|
}
|
|
|
|
// -------------------------------------------------------
|
|
// Parse load average from /proc/loadavg
|
|
function parseLoadAverage(text) {
|
|
if (!text)
|
|
return;
|
|
const parts = text.trim().split(/\s+/);
|
|
if (parts.length >= 3) {
|
|
root.loadAvg1 = parseFloat(parts[0]);
|
|
root.loadAvg5 = parseFloat(parts[1]);
|
|
root.loadAvg15 = parseFloat(parts[2]);
|
|
}
|
|
}
|
|
|
|
// -------------------------------------------------------
|
|
// 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) {
|
|
// Calculate usage, adjusting for ZFS ARC cache if present
|
|
let usageKb = memTotal - memAvailable;
|
|
if (root.zfsArcSizeKb > 0) {
|
|
usageKb = Math.max(0, usageKb - root.zfsArcSizeKb + root.zfsArcCminKb);
|
|
}
|
|
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);
|
|
|
|
// Record new peaks if higher than current max (for adaptive ratio calculation)
|
|
const now = Date.now();
|
|
if (root.rxSpeed > root.rxMaxSpeed) {
|
|
networkStatsAdapter.rxPeaks = [...(networkStatsAdapter.rxPeaks || []),
|
|
{
|
|
speed: root.rxSpeed,
|
|
timestamp: now
|
|
}
|
|
];
|
|
networkStatsSaveDebounce.restart();
|
|
}
|
|
if (root.txSpeed > root.txMaxSpeed) {
|
|
networkStatsAdapter.txPeaks = [...(networkStatsAdapter.txPeaks || []),
|
|
{
|
|
speed: root.txSpeed,
|
|
timestamp: now
|
|
}
|
|
];
|
|
networkStatsSaveDebounce.restart();
|
|
}
|
|
}
|
|
}
|
|
|
|
root.prevRxBytes = totalRx;
|
|
root.prevTxBytes = totalTx;
|
|
root.prevTime = currentTime;
|
|
}
|
|
|
|
// -------------------------------------------------------
|
|
// Helper function to format network speeds
|
|
function formatSpeed(bytesPerSecond) {
|
|
const units = ["KB", "MB", "GB"];
|
|
let value = bytesPerSecond / 1024;
|
|
let unitIndex = 0;
|
|
|
|
while (value >= 1024 && unitIndex < units.length - 1) {
|
|
value /= 1024;
|
|
unitIndex++;
|
|
}
|
|
|
|
const unit = units[unitIndex];
|
|
const shortUnit = unit[0];
|
|
const numStr = value < 10 ? value.toFixed(1) : Math.round(value).toString();
|
|
|
|
return (numStr + unit).length > 5 ? numStr + shortUnit : numStr + unit;
|
|
}
|
|
|
|
// -------------------------------------------------------
|
|
// 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];
|
|
}
|
|
|
|
// -------------------------------------------------------
|
|
// Smart formatter for memory values (GB) - max 4 chars
|
|
// Uses decimal for < 10GB, integer otherwise
|
|
function formatMemoryGb(memGb) {
|
|
const value = parseFloat(memGb);
|
|
if (isNaN(value))
|
|
return "0G";
|
|
|
|
if (value < 10)
|
|
return value.toFixed(1) + "G"; // "0.0G" to "9.9G"
|
|
return Math.round(value) + "G"; // "10G" to "999G"
|
|
}
|
|
|
|
// -------------------------------------------------------
|
|
// 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 (when dGPU monitoring enabled): NVIDIA > AMD dGPU > Intel Arc > AMD iGPU
|
|
// Priority (when dGPU monitoring disabled): AMD iGPU only (discrete GPUs skipped to preserve D3cold)
|
|
function selectBestGpu() {
|
|
if (root.foundGpuSensors.length === 0) {
|
|
Logger.d("SystemStat", "No GPU temperature sensor found");
|
|
return;
|
|
}
|
|
|
|
const dgpuEnabled = Settings.data.systemMonitor.enableDgpuMonitoring;
|
|
let best = null;
|
|
|
|
for (var i = 0; i < root.foundGpuSensors.length; i++) {
|
|
const gpu = root.foundGpuSensors[i];
|
|
|
|
// NVIDIA is always highest priority (always discrete) - skip if dGPU monitoring disabled
|
|
if (gpu.type === "nvidia") {
|
|
if (dgpuEnabled) {
|
|
best = gpu;
|
|
break;
|
|
}
|
|
continue;
|
|
}
|
|
|
|
// AMD dGPU is second priority - skip if dGPU monitoring disabled (preserves D3cold power state)
|
|
if (gpu.type === "amd" && gpu.hasDedicatedVram) {
|
|
if (dgpuEnabled) {
|
|
best = gpu;
|
|
break;
|
|
}
|
|
continue;
|
|
}
|
|
|
|
// Intel Arc is third priority (always discrete) - skip if dGPU monitoring disabled
|
|
if (gpu.type === "intel" && !best) {
|
|
if (dgpuEnabled) {
|
|
best = gpu;
|
|
}
|
|
continue;
|
|
}
|
|
|
|
// AMD iGPU is lowest priority (fallback) - always allowed (no D3cold issue)
|
|
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 ${best.hwmonPath || "nvidia-smi"}`);
|
|
} else if (!dgpuEnabled) {
|
|
Logger.d("SystemStat", "No iGPU found and dGPU monitoring is disabled");
|
|
}
|
|
}
|
|
|
|
// -------------------------------------------------------
|
|
// Function to update GPU temperature
|
|
function updateGpuTemperature() {
|
|
if (root.gpuType === "nvidia") {
|
|
nvidiaTempProcess.running = true;
|
|
} else if (root.gpuType === "amd" || root.gpuType === "intel") {
|
|
gpuTempReader.path = `${root.gpuTempHwmonPath}/temp1_input`;
|
|
gpuTempReader.reload();
|
|
}
|
|
}
|
|
}
|