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>
45 lines
1.7 KiB
Text
45 lines
1.7 KiB
Text
/**
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* @license
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* Copyright 2018 Google LLC
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* SPDX-License-Identifier: Apache-2.0
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*/
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import * as Lantern from '../../lib/lantern/lantern.js';
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import {makeComputedArtifact} from '../computed-artifact.js';
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import {getComputationDataParams, lanternErrorAdapter} from './lantern-metric.js';
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import {Speedline} from '../speedline.js';
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import {LanternFirstContentfulPaint} from './lantern-first-contentful-paint.js';
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class LanternSpeedIndex extends Lantern.Metrics.SpeedIndex {
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/**
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* @param {LH.Artifacts.MetricComputationDataInput} data
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* @param {LH.Artifacts.ComputedContext} context
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* @param {Omit<Lantern.Metrics.Extras, 'optimistic'>=} extras
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* @return {Promise<LH.Artifacts.LanternMetric>}
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*/
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static async computeMetricWithGraphs(data, context, extras) {
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const params = await getComputationDataParams(data, context);
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return Promise.resolve(this.compute(params, extras)).catch(lanternErrorAdapter);
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}
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/**
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* @param {LH.Artifacts.MetricComputationDataInput} data
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* @param {LH.Artifacts.ComputedContext} context
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* @return {Promise<LH.Artifacts.LanternMetric>}
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*/
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static async compute_(data, context) {
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// TODO(15841): lib/lantern should probably run Speedline
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const speedline = await Speedline.request(data.trace, context);
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const fcpResult = await LanternFirstContentfulPaint.request(data, context);
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return this.computeMetricWithGraphs(data, context, {
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observedSpeedIndex: speedline.speedIndex,
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fcpResult,
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});
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}
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}
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const LanternSpeedIndexComputed = makeComputedArtifact(
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LanternSpeedIndex,
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['devtoolsLog', 'gatherContext', 'settings', 'simulator', 'trace', 'URL', 'SourceMaps']
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);
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export {LanternSpeedIndexComputed as LanternSpeedIndex};
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