Rocky_Mountain_Vending/.pnpm-store/v10/files/65/3008edbb0caf8f56498e5ef65c8a2d3e4d691ecc6cb0df6568e0a8c24e4f438c0b50b1afc68256a7a571b248bb1f0e03d712cd8eb277c94da5a6da5b90b0b8
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

1 line
No EOL
14 KiB
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Copyright 2024 The Chromium Authors. All rights reserved.\n// Use of this source code is governed by a BSD-style license that can be\n// found in the LICENSE file.\n\nimport * as i18n from '../../../core/i18n/i18n.js';\nimport * as Platform from '../../../core/platform/platform.js';\nimport type * as Protocol from '../../../generated/protocol.js';\nimport * as Extras from '../extras/extras.js';\nimport type * as Handlers from '../handlers/handlers.js';\nimport * as Helpers from '../helpers/helpers.js';\nimport * as Types from '../types/types.js';\n\nimport {\n InsightCategory,\n InsightKeys,\n type InsightModel,\n type InsightSetContext,\n type PartialInsightModel,\n} from './types.js';\n\nexport const UIStrings = {\n /**\n * @description Title of an insight that provides details about Forced reflow.\n */\n title: 'Forced reflow',\n /**\n * @description Text to describe the forced reflow.\n */\n description:\n 'A forced reflow occurs when JavaScript queries geometric properties (such as `offsetWidth`) after styles have been invalidated by a change to the DOM state. This can result in poor performance. Learn more about [forced reflows](https://developers.google.com/web/fundamentals/performance/rendering/avoid-large-complex-layouts-and-layout-thrashing#avoid-forced-synchronous-layouts) and possible mitigations.',\n /**\n * @description Title of a list to provide related stack trace data\n */\n relatedStackTrace: 'Stack trace',\n /**\n * @description Text to describe the top time-consuming function call\n */\n topTimeConsumingFunctionCall: 'Top function call',\n /**\n * @description Text to describe the total reflow time\n */\n totalReflowTime: 'Total reflow time',\n /**\n * @description Text to describe CPU processor tasks that could not be attributed to any specific source code.\n */\n unattributed: '[unattributed]',\n /**\n * @description Text for the name of anonymous functions\n */\n anonymous: '(anonymous)',\n} as const;\n\nconst str_ = i18n.i18n.registerUIStrings('models/trace/insights/ForcedReflow.ts', UIStrings);\nexport const i18nString = i18n.i18n.getLocalizedString.bind(undefined, str_);\n\nexport type ForcedReflowInsightModel = InsightModel<typeof UIStrings, {\n topLevelFunctionCallData: ForcedReflowAggregatedData | undefined,\n aggregatedBottomUpData: BottomUpCallStack[],\n}>;\n\nexport interface BottomUpCallStack {\n /**\n * `null` indicates that this data is for unattributed force reflows.\n */\n bottomUpData: Types.Events.CallFrame|Protocol.Runtime.CallFrame|null;\n totalTime: number;\n relatedEvents: Types.Events.Event[];\n}\n\nexport interface ForcedReflowAggregatedData {\n topLevelFunctionCall: Types.Events.CallFrame|Protocol.Runtime.CallFrame;\n totalReflowTime: number;\n topLevelFunctionCallEvents: Types.Events.Event[];\n}\n\nfunction getCallFrameId(callFrame: Types.Events.CallFrame|Protocol.Runtime.CallFrame): string {\n return callFrame.scriptId + ':' + callFrame.lineNumber + ':' + callFrame.columnNumber;\n}\n\nfunction getLargestTopLevelFunctionData(\n forcedReflowEvents: Types.Events.Event[], traceParsedData: Handlers.Types.ParsedTrace): ForcedReflowAggregatedData|\n undefined {\n const entryToNodeMap = traceParsedData.Renderer.entryToNode;\n const dataByTopLevelFunction = new Map<string, ForcedReflowAggregatedData>();\n if (forcedReflowEvents.length === 0) {\n return;\n }\n\n for (const event of forcedReflowEvents) {\n // Gather the stack traces by searching in the tree\n const traceNode = entryToNodeMap.get(event);\n if (!traceNode) {\n continue;\n }\n\n let node = traceNode.parent;\n let topLevelFunctionCall;\n let topLevelFunctionCallEvent: Types.Events.Event|undefined;\n while (node) {\n const eventData = node.entry;\n if (Types.Events.isProfileCall(eventData)) {\n topLevelFunctionCall = eventData.callFrame;\n topLevelFunctionCallEvent = eventData;\n } else {\n // We have finished searching bottom up data\n if (Types.Events.isFunctionCall(eventData) && eventData.args.data &&\n Types.Events.objectIsCallFrame(eventData.args.data)) {\n topLevelFunctionCall = eventData.args.data;\n topLevelFunctionCallEvent = eventData;\n }\n break;\n }\n node = node.parent;\n }\n\n if (!topLevelFunctionCall || !topLevelFunctionCallEvent) {\n continue;\n }\n\n const aggregatedDataId = getCallFrameId(topLevelFunctionCall);\n const aggregatedData =\n Platform.MapUtilities.getWithDefault(dataByTopLevelFunction, aggregatedDataId, () => ({\n topLevelFunctionCall,\n totalReflowTime: 0,\n topLevelFunctionCallEvents: [],\n }));\n aggregatedData.totalReflowTime += (event.dur ?? 0);\n aggregatedData.topLevelFunctionCallEvents.push(topLevelFunctionCallEvent);\n }\n\n let topTimeConsumingData: ForcedReflowAggregatedData|undefined = undefined;\n dataByTopLevelFunction.forEach(data => {\n if (!topTimeConsumingData || data.totalReflowTime > topTimeConsumingData.totalReflowTime) {\n topTimeConsumingData = data;\n }\n });\n\n return topTimeConsumingData;\n}\n\nfunction finalize(partialModel: PartialInsightModel<ForcedReflowInsightModel>): ForcedReflowInsightModel {\n return {\n insightKey: InsightKeys.FORCED_REFLOW,\n strings: UIStrings,\n title: i18nString(UIStrings.title),\n description: i18nString(UIStrings.description),\n category: InsightCategory.ALL,\n state: partialModel.aggregatedBottomUpData.length !== 0 ? 'fail' : 'pass',\n ...partialModel,\n };\n}\n\nfunction getBottomCallFrameForEvent(event: Types.Events.Event, traceParsedData: Handlers.Types.ParsedTrace):\n Types.Events.CallFrame|Protocol.Runtime.CallFrame|null {\n const profileStackTrace = Extras.StackTraceForEvent.get(event, traceParsedData);\n const eventStackTrace = Helpers.Trace.getZeroIndexedStackTraceInEventPayload(event);\n\n return profileStackTrace?.callFrames[0] ?? eventStackTrace?.[0] ?? null;\n}\n\nexport function generateInsight(\n traceParsedData: Handlers.Types.ParsedTrace, context: InsightSetContext): ForcedReflowInsightModel {\n const isWithinContext = (event: Types.Events.Event): boolean => {\n const frameId = Helpers.Trace.frameIDForEvent(event);\n if (frameId !== context.frameId) {\n return false;\n }\n\n return Helpers.Timing.eventIsInBounds(event, context.bounds);\n };\n\n const bottomUpDataMap = new Map<string, BottomUpCallStack>();\n const events = traceParsedData.Warnings.perWarning.get('FORCED_REFLOW')?.filter(isWithinContext) ?? [];\n for (const event of events) {\n const bottomCallFrame = getBottomCallFrameForEvent(event, traceParsedData);\n const bottomCallId = bottomCallFrame ? getCallFrameId(bottomCallFrame) : 'UNATTRIBUTED';\n const bottomUpData =\n Platform.MapUtilities.getWithDefault(bottomUpDataMap, bottomCallId, () => ({\n bottomUpData: bottomCallFrame,\n totalTime: 0,\n relatedEvents: [],\n }));\n bottomUpData.totalTime += event.dur ?? 0;\n bottomUpData.relatedEvents.push(event);\n }\n\n const topLevelFunctionCallData = getLargestTopLevelFunctionData(events, traceParsedData);\n\n return finalize({\n relatedEvents: events,\n topLevelFunctionCallData,\n aggregatedBottomUpData: [...bottomUpDataMap.values()],\n });\n}\n\nexport function createOverlays(model: ForcedReflowInsightModel): Types.Overlays.Overlay[] {\n if (!model.topLevelFunctionCallData) {\n return [];\n }\n\n const allBottomUpEvents = [...model.aggregatedBottomUpData.values().flatMap(data => data.relatedEvents)];\n return [\n ...createOverlayForEvents(model.topLevelFunctionCallData.topLevelFunctionCallEvents, 'INFO'),\n ...createOverlayForEvents(allBottomUpEvents),\n ];\n}\n\nexport function createOverlayForEvents(\n events: Types.Events.Event[], outlineReason: 'ERROR'|'INFO' = 'ERROR'): Types.Overlays.Overlay[] {\n return events.map(e => ({\n type: 'ENTRY_OUTLINE',\n entry: e,\n outlineReason,\n }));\n}\n"]}