Rocky_Mountain_Vending/.pnpm-store/v10/files/84/b36704054dce529d60057c7142a7827c3fd0ff1e9ca4def03a6979bccc6607191440ab58424214f16620f196c05c2cebecb080ddcc6636676f9dc4def801b6
DMleadgen 46d973904b
Initial commit: Rocky Mountain Vending website
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>
2026-02-12 16:22:15 -07:00

99 lines
3.5 KiB
Text

/**
* @license
* Copyright 2019 Google LLC
* SPDX-License-Identifier: Apache-2.0
*/
import {Audit} from '../audit.js';
import * as i18n from '../../lib/i18n/i18n.js';
import {LargestContentfulPaint as ComputedLcp} from '../../computed/metrics/largest-contentful-paint.js';
const UIStrings = {
/** Description of the Largest Contentful Paint (LCP) metric, which marks the time at which the largest text or image is painted by the browser. 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. */
description: 'Largest Contentful Paint marks the time at which the largest text or image is ' +
`painted. [Learn more about the Largest Contentful Paint metric](https://developer.chrome.com/docs/lighthouse/performance/lighthouse-largest-contentful-paint/)`,
};
const str_ = i18n.createIcuMessageFn(import.meta.url, UIStrings);
class LargestContentfulPaint extends Audit {
/**
* @return {LH.Audit.Meta}
*/
static get meta() {
return {
id: 'largest-contentful-paint',
title: str_(i18n.UIStrings.largestContentfulPaintMetric),
description: str_(UIStrings.description),
scoreDisplayMode: Audit.SCORING_MODES.NUMERIC,
supportedModes: ['navigation'],
requiredArtifacts: ['HostUserAgent', 'Trace', 'DevtoolsLog', 'GatherContext', 'URL',
'SourceMaps'],
};
}
/**
* @return {{mobile: {scoring: LH.Audit.ScoreOptions}, desktop: {scoring: LH.Audit.ScoreOptions}}}
*/
static get defaultOptions() {
return {
mobile: {
// 25th and 13th percentiles HTTPArchive -> median and p10 points.
// https://bigquery.cloud.google.com/table/httparchive:lighthouse.2020_02_01_mobile?pli=1
// https://web.dev/articles/lcp#what_is_a_good_lcp_score
// see https://www.desmos.com/calculator/1etesp32kt
scoring: {
p10: 2500,
median: 4000,
},
},
desktop: {
// 25th and 5th percentiles HTTPArchive -> median and p10 points.
// SELECT
// APPROX_QUANTILES(lcpValue, 100)[OFFSET(5)] AS p05_lcp,
// APPROX_QUANTILES(lcpValue, 100)[OFFSET(25)] AS p25_lcp
// FROM (
// SELECT CAST(JSON_EXTRACT_SCALAR(payload, "$['_chromeUserTiming.LargestContentfulPaint']") AS NUMERIC) AS lcpValue
// FROM `httparchive.pages.2020_04_01_desktop`
// )
scoring: {
p10: 1200,
median: 2400,
},
},
};
}
/**
* @param {LH.Artifacts} artifacts
* @param {LH.Audit.Context} context
* @return {Promise<LH.Audit.Product>}
*/
static async audit(artifacts, context) {
const trace = artifacts.Trace;
const devtoolsLog = artifacts.DevtoolsLog;
const gatherContext = artifacts.GatherContext;
const metricComputationData = {
trace, devtoolsLog, gatherContext,
settings: context.settings, URL: artifacts.URL,
SourceMaps: artifacts.SourceMaps, simulator: null,
};
const metricResult = await ComputedLcp.request(metricComputationData, context);
const options = context.options[context.settings.formFactor];
return {
score: Audit.computeLogNormalScore(
options.scoring,
metricResult.timing
),
scoringOptions: options.scoring,
numericValue: metricResult.timing,
numericUnit: 'millisecond',
displayValue: str_(i18n.UIStrings.seconds, {timeInMs: metricResult.timing}),
};
}
}
export default LargestContentfulPaint;
export {UIStrings};