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@microsoft/windows-admin-center-sdk

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Microsoft - Windows Admin Center Shell

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import { getCLS, getFCP, getFID, getLCP, getTTFB } from 'web-vitals'; import { Logging } from '../diagnostics/logging'; import { SmeWebTelemetry } from '../diagnostics/sme-web-telemetry'; /** * Summarizes a sequence of measurements */ export class SmePerformanceSummary { label; startTime; totalLoadTime; timestamps; } /** * Web Vitals metrics to track. See more details at https://web.dev/vitals/ */ export var WebVitalFields; (function (WebVitalFields) { WebVitalFields["CLS"] = "CumulativeLayoutShift"; WebVitalFields["LCP"] = "LargestContentfulPaint"; WebVitalFields["FCP"] = "FirstContentfulPaint"; WebVitalFields["FID"] = "FirstInputDelay"; WebVitalFields["TTFB"] = "TimeToFirstByte"; WebVitalFields["TBT"] = "TotalBlockingTime"; WebVitalFields["TTI"] = "TimeToInteractive"; })(WebVitalFields || (WebVitalFields = {})); /** * List performance entry types that are relevant for our metrics. */ export var PerformanceEntryType; (function (PerformanceEntryType) { PerformanceEntryType["LongTask"] = "longtask"; PerformanceEntryType["Resource"] = "resource"; PerformanceEntryType["Mark"] = "mark"; PerformanceEntryType["Navigation"] = "navigation"; })(PerformanceEntryType || (PerformanceEntryType = {})); /** * Simplified performance entry type with only a start time, end time, and entryType. */ export class TaskTiming { startTime; endTime; entryType; } /** * Internal further simplification for a range of time with only start and end time. */ class TimeWindow { start; end; } /** * Performance tracker class handles two things: * 1) Tracking lighthouse metrics (see https://web.dev/vitals/) * 2) Providing a wrapper to mark various times in code for performance measurement. * This is used primarily for shell and various tools to determine load times. */ export class PerformanceTracker { static get smePrefix() { return 'SME:'; } /** * The source name to use when logging about this service. */ static get logSourceName() { return 'PerformanceTracker'; } // indexLoaded is logged by each extension when there index.html file starts executing code // The value itself is used, not the variable. This is kept here to have a complete list of sme marks used. static markIndexLoaded = PerformanceTracker.smePrefix + 'IndexLoaded'; static markCoreEnvironmentInitStarted = PerformanceTracker.smePrefix + 'CoreEnvironmentInitializeStarted'; static markCoreEnvironmentInitCompleted = PerformanceTracker.smePrefix + 'CoreEnvironmentInitializeCompleted'; static markManifestLoadStarted = PerformanceTracker.smePrefix + 'ManifestLoadStarted'; static markLocalizationStarted = PerformanceTracker.smePrefix + 'LocalizationStarted'; static markAccessibilityManagerStarted = PerformanceTracker.smePrefix + 'AccessibilityManagerStarted'; static markAppContextServiceStarted = PerformanceTracker.smePrefix + 'AppContextServiceStarted'; static markAppContextRpcInitStarted = PerformanceTracker.smePrefix + 'AppContextRpcInitStarted'; static markAppContextRpcInitComplete = PerformanceTracker.smePrefix + 'AppContextRpcInitComplete'; static markAppModuleInitialized = PerformanceTracker.smePrefix + 'AppModuleInitialized'; static markAppComponentInitialized = PerformanceTracker.smePrefix + 'AppComponentInitialized'; static markCriticalDataLoaded = PerformanceTracker.smePrefix + 'CriticalDataLoaded'; static markNavigationInitialized = PerformanceTracker.smePrefix + 'NavigationInitialized'; static markNavigationStarted = PerformanceTracker.smePrefix + 'NavigationStarted'; static markNavigationCompleted = PerformanceTracker.smePrefix + 'NavigationCompleted'; static markNavigationMeasure = PerformanceTracker.smePrefix + 'NavigationMeasure'; static moduleOpening = true; /** * Used to keep track of various marks when measuring arbitrary timings. */ static dataLoadMap = {}; /** * Counter for total blocking time on initial loadup. This should be reset every time a new page is initialized. */ static totalBlockingTime = 0; // initialize totalBlockingTime as null so we can distinguish when majority of lighthouse metrics are collected static lighthouseMetrics = { TotalBlockingTime: null }; static ttiIntervalCheck; static ttiInProgress = false; static wacPo; static fcp = 0; static tasks = []; static timeToInteractiveNotFound = -1; // Under TTI guidelines, a quiet window is defined to be a 5 second period where no long tasks run and no more than // 2 network requests at any given point. static quietWindowLength = 5000; // Time to interactive has to be calculated retroactively - every 10 seconds, we'll calculate and see if we can find TTI. // After 20 seconds, cancel and just find current tti (assume a quiet window will appear somewhere in the future) // These windows were selected arbitrarily - can be tweaked if necessary. static ttiTimeout = 10000; static ttiTimeoutThreshold = 2; // Long events (events in excess of 50ms) qualify for total blocking time - any duration in excess of 50ms, // the excess time will be added to total blocking time. static totalBlockingTimeThresholdRequirement = 50; static setLighthouseField(field, value) { this.lighthouseMetrics[field] = value; if (this.lighthouseMetrics.TotalBlockingTime !== null) { // if TBT is calculated, we (should) have all required fields, log this in telemetry. // It is possible once TBT is calculated other fields can be triggered afterwards (eg CLS or LCP). // We will simply update those fields within lighthouse object and send the whole thing. // On telemetry end we can decide how to handle (ie take first or last instance). SmeWebTelemetry.traceLighthouseData(this.lighthouseMetrics); } } /** * Calculate Time to Interactive using list of longtask and resource events. Time to Interactive calculation * method can be found at https://web.dev/tti#what-is-tti * @param taskList List of all longtask and resource events from current time. * @returns Returns time to interactive if it exists, TTI_NOT_FOUND if not. */ static tryFindTti(taskList) { const timestamps = []; taskList.forEach((entry) => { timestamps.push({ entryType: entry.entryType, time: entry.startTime, isStart: true }); timestamps.push({ entryType: entry.entryType, time: entry.endTime }); }); // push an entry for the current timestamp, so that if the quiet window is at the end // (eg mass entries early on, and emptiness later), we can capture the end of the window with this event. timestamps.push({ entryType: PerformanceEntryType.LongTask, time: window.performance.now(), isStart: true }); timestamps.sort((a, b) => a.time < b.time ? -1 : 1); const quietWindows = []; let startTime = this.fcp; let longTaskCount = 0; let networkRequestCount = 0; // Split ranges into starts and ends, iterate through all timestamps of start/end // for each start/end, identify and keep track of long tasks and network requests to identify potential windows // isStart means the timestamp is a startTime of a performance entry (long task or resource). for (const { entryType, time, isStart } of timestamps) { if (isStart) { // check if ends current window if ((entryType === PerformanceEntryType.LongTask && longTaskCount === 0 && networkRequestCount <= 2) || (entryType === PerformanceEntryType.Resource && longTaskCount === 0 && networkRequestCount === 2)) { const newStartTime = startTime ? Math.max(startTime, this.fcp) : this.fcp; const endTime = time; if (endTime > newStartTime) { quietWindows.push({ start: newStartTime, end: endTime }); } } } else { if ((entryType === PerformanceEntryType.LongTask && longTaskCount === 1 && networkRequestCount <= 2) || (entryType === PerformanceEntryType.Resource && longTaskCount === 0 && networkRequestCount === 3)) { startTime = time; } } // For both cases, if we just hit an isStart timestamp, we are starting a new task - increment count depending on type. // if not isStart, we are ending a task, decrement count. if (entryType === PerformanceEntryType.LongTask) { longTaskCount += isStart ? 1 : -1; } else if (entryType === PerformanceEntryType.Resource) { networkRequestCount += isStart ? 1 : -1; } } const firstValidWindow = quietWindows.find((window) => (window.end - window.start) >= this.quietWindowLength); const relevantLongTasks = taskList.filter((task) => firstValidWindow && task.entryType === PerformanceEntryType.LongTask && task.startTime >= this.fcp && task.endTime <= firstValidWindow.start); const timeToInteractiveTimestamp = relevantLongTasks.length > 0 ? relevantLongTasks[relevantLongTasks.length - 1].endTime : this.fcp; // if no valid window found, return timeToInteractiveNotFound return firstValidWindow ? timeToInteractiveTimestamp : this.timeToInteractiveNotFound; } /** * Initialize interval to calculate time to interactive. TTI will only be calculated if WAC is in non-production mode; * b/c calculation itself is non-performant. In production, we will use FID as a proxy for TTI. */ static tryStartCalculatingTimeToInteractive() { if (SmeWebTelemetry.isProduction || this.ttiInProgress) { return; } this.ttiInProgress = true; let ttiTrackerCount = 0; this.ttiIntervalCheck = setInterval(() => { const tti = this.tryFindTti(this.tasks); if (tti !== this.timeToInteractiveNotFound) { this.setLighthouseField(WebVitalFields.TTI, tti); // need to recalculate here because this is dependent on where the TTI is. const recalculatedTotalBlockingTime = this.tasks.filter((entry) => entry.entryType === PerformanceEntryType.LongTask).reduce((totalBlockTime, nextEntry) => { const duration = nextEntry.endTime - nextEntry.startTime; const entrySatisfiesBlockingCriteria = duration > this.totalBlockingTimeThresholdRequirement && nextEntry.endTime < tti && nextEntry.startTime > this.fcp; return totalBlockTime + (entrySatisfiesBlockingCriteria ? duration : 0); }, 0); this.setLighthouseField(WebVitalFields.TBT, recalculatedTotalBlockingTime); clearInterval(this.ttiIntervalCheck); this.wacPo.disconnect(); } else if (ttiTrackerCount > this.ttiTimeoutThreshold) { // if we have gone past threshold and no TTI found, // give up on TTI and just search for last long task, we will already have bad score const lastLongTask = this.tasks.filter((entry) => entry.entryType === PerformanceEntryType.LongTask).slice(-1)[0]; this.setLighthouseField(WebVitalFields.TTI, lastLongTask ? lastLongTask.endTime : this.ttiTimeout * this.ttiTimeoutThreshold); this.setLighthouseField(WebVitalFields.TBT, this.totalBlockingTime); this.wacPo.disconnect(); clearInterval(this.ttiIntervalCheck); } ++ttiTrackerCount; }, this.ttiTimeout); } /** * Initialize web-vitals trackers for all lighthouse metrics. If function not supported (eg due to browser limitations) * log warning and return. */ static initializeLighthouseMetricsTrackers() { if (!getLCP) { Logging.logWarning(this.logSourceName, 'Web Vitals not supported in current environment'); return; } getCLS((item) => this.setLighthouseField(WebVitalFields.CLS, item.value), true); getFCP((item) => { this.setLighthouseField(WebVitalFields.FCP, item.value); this.fcp = item.value; this.tryStartCalculatingTimeToInteractive(); }, true); getLCP((item) => this.setLighthouseField(WebVitalFields.LCP, item.value), true); getFID((item) => { this.setLighthouseField(WebVitalFields.FID, item.value); if (!this.ttiInProgress) { this.setLighthouseField(WebVitalFields.TBT, this.totalBlockingTime); } }); getTTFB((item) => this.setLighthouseField(WebVitalFields.TTFB, item.value)); // Set a performance observer to collect all the long task and resource events we need to calculate lighthouse metrics. this.wacPo = new PerformanceObserver((list) => { const entries = list.getEntries(); for (let i = 0; i < entries.length; ++i) { if (entries[i].entryType === PerformanceEntryType.LongTask) { // measure TBT as we collect long task events - if using FID, we can just send this accumulated value as is, // otherwise can recalculate this later when we find TTI. const entrySatisfiesBlockingCriteria = entries[i].duration > this.totalBlockingTimeThresholdRequirement && entries[i].startTime > this.fcp; this.totalBlockingTime += entrySatisfiesBlockingCriteria ? entries[i].duration : 0; this.tasks.push({ startTime: entries[i].startTime, endTime: entries[i].startTime + entries[i].duration, entryType: PerformanceEntryType.LongTask }); } else { this.tasks.push({ startTime: entries[i].startTime, endTime: entries[i].startTime + entries[i].duration, entryType: PerformanceEntryType.Resource }); } } }); this.wacPo.observe({ entryTypes: [PerformanceEntryType.LongTask, PerformanceEntryType.Resource] }); } static coreEnvironmentInitStarted() { performance.mark(PerformanceTracker.markCoreEnvironmentInitStarted); } static coreEnvironmentInitCompleted() { performance.mark(PerformanceTracker.markCoreEnvironmentInitCompleted); } static manifestLoadStarted() { performance.mark(PerformanceTracker.markManifestLoadStarted); } static localizationStarted() { performance.mark(PerformanceTracker.markLocalizationStarted); } static accessibilityManagerStarted() { performance.mark(PerformanceTracker.markAccessibilityManagerStarted); } static appContextServiceStarted() { performance.mark(PerformanceTracker.markAppContextServiceStarted); } static appContextRpcInitStarted() { performance.mark(PerformanceTracker.markAppContextRpcInitStarted); } static appContextRpcInitComplete() { performance.mark(PerformanceTracker.markAppContextRpcInitComplete); } static appModuleInitialized() { performance.mark(PerformanceTracker.markAppModuleInitialized); } static appComponentInitialized() { performance.mark(PerformanceTracker.markAppComponentInitialized); PerformanceTracker.logAppComponentLoadTime(); } static navigationInitialized() { const navigationMarks = performance.getEntriesByType(PerformanceEntryType.Mark) .filter(e => e.name.startsWith(PerformanceTracker.smePrefix + 'Navigation')); // If we reinitialize navigation, clear all previous navigation marks. navigationMarks.forEach(m => { performance.clearMarks(m.name); }); performance.mark(PerformanceTracker.markNavigationInitialized); } static navigationStarted() { // clear previous marks prior to starting new navigation performance.clearMarks(PerformanceTracker.markNavigationStarted); performance.clearMarks(PerformanceTracker.markNavigationCompleted); performance.mark(PerformanceTracker.markNavigationStarted); } static navigationCompleted(moduleOpened) { // clear last measure b/c we are replacing. performance.clearMeasures(PerformanceTracker.markNavigationMeasure); // If the navigation via module open, set this flag so we can treat the criticalLoad differently than normal. We want to // separate this data b/c some modules have pivot tabs that can also trigger critical data loads multiple times. this.moduleOpening = moduleOpened; performance.mark(PerformanceTracker.markNavigationCompleted); performance.measure(PerformanceTracker.markNavigationMeasure, PerformanceTracker.markNavigationStarted, PerformanceTracker.markNavigationCompleted); // clear navigation start/end marks after we measure - only maintain one set of start/end to keep simple. performance.clearMarks(PerformanceTracker.markNavigationCompleted); performance.clearMarks(PerformanceTracker.markNavigationStarted); } static criticalDataLoaded() { performance.mark(PerformanceTracker.markCriticalDataLoaded); PerformanceTracker.logCriticalDataLoadTime(); } /** * Mark an arbitrary measurement with a label. Clear the previous mark(s) prior to starting new one - allow only one at * all times. * @param label The label for the mark and the index for the entry in the internal map. */ static markDataLoadStart(label) { const smeLabelString = `${PerformanceTracker.smePrefix}${label}`; // If we start, overwrite and clear existing entries. if (smeLabelString in this.dataLoadMap) { this.dataLoadMap[smeLabelString].forEach((mark) => { performance.clearMarks(mark.name); }); } performance.mark(smeLabelString); // get latest one const startMark = performance.getEntriesByName(smeLabelString).slice(-1)[0]; this.dataLoadMap[smeLabelString] = [startMark]; } /** * Mark an arbitrary measurement with a label. Intended to be a midpoint between a start and end. * @param label The label for the entry in the data map. * @param specificLabel The label for the mark */ static markDataIntermediary(label, specificLabel) { const smeLabelString = `${PerformanceTracker.smePrefix}${label}`; if (!(smeLabelString in this.dataLoadMap)) { return; } const intermediaryLabel = specificLabel ? `${PerformanceTracker.smePrefix}${specificLabel}` : `${PerformanceTracker.smePrefix}${label}-${this.dataLoadMap[smeLabelString].length + 1}`; performance.mark(intermediaryLabel); // get latest one const mark = performance.getEntriesByName(intermediaryLabel).slice(-1)[0]; this.dataLoadMap[smeLabelString].push(mark); } /** * Get a summary object from the aggregate data points marked previously. * @param label The label for the entry in the data map dictionary * @param specificLabel The label for the new measurement * @returns The performance summary of the multiple marks. */ static markDataLoadEnd(label, specificLabel) { const smeLabelString = `${PerformanceTracker.smePrefix}${label}`; if (!(smeLabelString in this.dataLoadMap)) { return null; } const dataEntry = this.dataLoadMap[smeLabelString]; const intermediaryLabel = specificLabel ? `${PerformanceTracker.smePrefix}${specificLabel}` : `${PerformanceTracker.smePrefix}${label}-${dataEntry.length + 1}`; performance.mark(intermediaryLabel); // get latest one const endMark = performance.getEntriesByName(intermediaryLabel).slice(-1)[0]; dataEntry.push(endMark); const startEntry = dataEntry[0]; const totalLoadTime = endMark.startTime - startEntry.startTime; // remove SME prefix here const summary = { label: label, timestamps: {}, totalLoadTime: totalLoadTime, startTime: startEntry.startTime }; dataEntry.forEach((mark) => { performance.clearMarks(mark.name); summary.timestamps[mark.name.replace(PerformanceTracker.smePrefix, '')] = mark.startTime - startEntry.startTime; }); delete this.dataLoadMap[smeLabelString]; return summary; } /** * Log app component load time - this contains timings up to when the appComponent is loaded. */ static logAppComponentLoadTime() { const data = { sme: {}, resources: {}, navigation: {}, totalLoadTime: 0 }; /// dont include sme angular navigation marks in the generic data load const smeMarks = performance.getEntriesByType(PerformanceEntryType.Mark).filter(e => e.name.startsWith(PerformanceTracker.smePrefix) && !e.name.startsWith(PerformanceTracker.smePrefix + 'Navigation')); const resourceMarks = performance.getEntriesByType(PerformanceEntryType.Resource); smeMarks.forEach(m => { data.sme[m.name.replace(PerformanceTracker.smePrefix, '')] = m.startTime; performance.clearMarks(m.name); }); resourceMarks.forEach((m) => { try { const url = new URL(m.name); data.resources[url.pathname] = m.duration; } catch (e) { data.resources[m.name] = m.duration; } performance.clearMarks(m.name); }); data.totalLoadTime = data.sme[this.markAppComponentInitialized.replace(PerformanceTracker.smePrefix, '')]; const navigationEntries = performance.getEntriesByType(PerformanceEntryType.Navigation); if (navigationEntries && navigationEntries.length) { data.navigation = navigationEntries[0]; } SmeWebTelemetry.traceModuleOpenPerformance(data); } /** * Log critical data load time - this measures the time from angular's startNavigation event to a module to the point at * which criticalDataLoad() is called, usually in the ngInit of a module */ static logCriticalDataLoadTime() { const data = { sme: {}, totalLoadTime: 0 }; // If there are multiple somehow, take the latest one const navigationMeasure = performance.getEntriesByName(PerformanceTracker.markNavigationMeasure).slice(-1)[0]; const criticalData = performance.getEntriesByName(PerformanceTracker.markCriticalDataLoaded).slice(-1)[0]; // clear performance marks either way - if they exist, we clear them. If not, clear b/c it's faulty data. performance.clearMeasures(PerformanceTracker.markNavigationMeasure); performance.clearMarks(PerformanceTracker.markCriticalDataLoaded); if (!navigationMeasure || !criticalData) { Logging.logInformational('PerformanceTracker', 'Critical data loaded without either criticalData call or navigationMeasure call'); return; } data.sme.criticalDataLoadTime = criticalData.startTime - navigationMeasure.startTime; data.sme.navigationTime = navigationMeasure.duration; data.totalLoadTime = data.sme.criticalDataLoadTime; // If there are multiple somehow, take the latest one const navInitialized = performance.getEntriesByName(PerformanceTracker.markNavigationInitialized).slice(-1)[0]; if (navInitialized) { data.sme.timeToFirstNavigateInit = navInitialized.startTime; data.sme.timeToFirstNavigateStart = navigationMeasure.startTime; data.sme.timeToFirstNavigateEnd = navigationMeasure.startTime + navigationMeasure.duration; data.sme.timeToFirstCriticalData = criticalData.startTime; data.totalLoadTime = criticalData.startTime; // overwrite if navInit is true. performance.clearMarks(navInitialized.name); } if (this.moduleOpening) { SmeWebTelemetry.traceModuleOpenPerformance(data); } else { SmeWebTelemetry.tracePerformanceData(data); } } } //# sourceMappingURL=performance-tracker.js.map