DMleadgen
46d973904b
Next.js website for Rocky Mountain Vending company featuring: - Product catalog with Stripe integration - Service areas and parts pages - Admin dashboard with Clerk authentication - SEO optimized pages with JSON-LD structured data Co-authored-by: Cursor <cursoragent@cursor.com>
96 lines
3.4 KiB
Text
96 lines
3.4 KiB
Text
/**
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* @license
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* Copyright 2017 Google LLC
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* SPDX-License-Identifier: Apache-2.0
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*/
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import {Audit} from '../audit.js';
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import * as i18n from '../../lib/i18n/i18n.js';
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import {Interactive} from '../../computed/metrics/interactive.js';
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const UIStrings = {
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/** Description of the Time to Interactive (TTI) metric, which evaluates when a page has completed its primary network activity and main thread work. This is displayed within a tooltip when the user hovers on the metric name to see more. No character length limits. The last sentence starting with 'Learn' becomes link text to additional documentation. */
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description: 'Time to Interactive is the amount of time it takes for the page to become fully ' +
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'interactive. [Learn more about the Time to Interactive metric](https://developer.chrome.com/docs/lighthouse/performance/interactive/).',
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};
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const str_ = i18n.createIcuMessageFn(import.meta.url, UIStrings);
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/**
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* @fileoverview This audit identifies the time the page is "consistently interactive".
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* Looks for the first period of at least 5 seconds after FCP where both CPU and network were quiet,
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* and returns the timestamp of the beginning of the CPU quiet period.
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* @see https://docs.google.com/document/d/1GGiI9-7KeY3TPqS3YT271upUVimo-XiL5mwWorDUD4c/edit#
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*/
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class InteractiveMetric extends Audit {
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/**
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* @return {LH.Audit.Meta}
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*/
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static get meta() {
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return {
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id: 'interactive',
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title: str_(i18n.UIStrings.interactiveMetric),
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description: str_(UIStrings.description),
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scoreDisplayMode: Audit.SCORING_MODES.NUMERIC,
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supportedModes: ['navigation'],
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requiredArtifacts: ['Trace', 'DevtoolsLog', 'GatherContext', 'URL', 'SourceMaps'],
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};
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}
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/**
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* @return {{mobile: {scoring: LH.Audit.ScoreOptions}, desktop: {scoring: LH.Audit.ScoreOptions}}}
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*/
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static get defaultOptions() {
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return {
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mobile: {
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// 25th and 5th percentiles HTTPArchive -> median and PODR, then p10 derived from them.
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// https://bigquery.cloud.google.com/table/httparchive:lighthouse.2018_04_01_mobile?pli=1
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// see https://www.desmos.com/calculator/o98tbeyt1t
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scoring: {
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p10: 3785,
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median: 7300,
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},
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},
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desktop: {
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// SELECT QUANTILES(fullyLoaded, 21) FROM [httparchive:summary_pages.2018_12_15_desktop] LIMIT 1000
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scoring: {
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p10: 2468,
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median: 4500,
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},
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},
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};
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}
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/**
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* @param {LH.Artifacts} artifacts
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* @param {LH.Audit.Context} context
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* @return {Promise<LH.Audit.Product>}
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*/
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static async audit(artifacts, context) {
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const trace = artifacts.Trace;
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const devtoolsLog = artifacts.DevtoolsLog;
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const gatherContext = artifacts.GatherContext;
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const metricComputationData = {
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trace, devtoolsLog, gatherContext,
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settings: context.settings, URL: artifacts.URL,
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SourceMaps: artifacts.SourceMaps, simulator: null,
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};
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const metricResult = await Interactive.request(metricComputationData, context);
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const timeInMs = metricResult.timing;
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const options = context.options[context.settings.formFactor];
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return {
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score: Audit.computeLogNormalScore(
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options.scoring,
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timeInMs
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),
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numericValue: timeInMs,
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numericUnit: 'millisecond',
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displayValue: str_(i18n.UIStrings.seconds, {timeInMs}),
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};
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}
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}
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export default InteractiveMetric;
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export {UIStrings};
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