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NetMesh/application/state/aiPanelDiagnostics.ts
zhaolei 3c72efcb7f
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[Init] Initial commit - NetMesh terminal manager
2026-09-13 18:24:01 +08:00

86 lines
2.4 KiB
TypeScript

import type React from 'react';
import {
STORAGE_KEY_AI_PANEL_DIAGNOSTIC_HIDE,
STORAGE_KEY_AI_PANEL_DIAGNOSTIC_PROFILE,
} from '../../infrastructure/config/storageKeys';
import { localStorageAdapter } from '../../infrastructure/persistence/localStorageAdapter';
export const AI_PANEL_DIAGNOSTIC_HIDE_KEY = STORAGE_KEY_AI_PANEL_DIAGNOSTIC_HIDE;
export const AI_PANEL_DIAGNOSTIC_PROFILE_KEY = STORAGE_KEY_AI_PANEL_DIAGNOSTIC_PROFILE;
export const AI_PANEL_FORCE_HIDE_ALL_CONTENT = false;
export const AI_PANEL_FORCE_HIDE_SHELL = false;
export type AIPanelDiagnosticPart =
| 'all'
| 'attachments'
| 'header'
| 'history'
| 'input'
| 'markdown'
| 'messages'
| 'recent'
| 'toolcalls';
function readLocalStorageValue(key: string): string {
try {
return localStorageAdapter.readString(key) ?? '';
} catch {
return '';
}
}
export function getAIPanelDiagnosticHiddenParts(): ReadonlySet<string> {
if (AI_PANEL_FORCE_HIDE_ALL_CONTENT) {
return new Set(['all']);
}
const raw = readLocalStorageValue(AI_PANEL_DIAGNOSTIC_HIDE_KEY);
return new Set(
raw
.split(',')
.map((part) => part.trim().toLowerCase())
.filter(Boolean),
);
}
export function isAIPanelDiagnosticPartHidden(
part: AIPanelDiagnosticPart,
hiddenParts = getAIPanelDiagnosticHiddenParts(),
): boolean {
return hiddenParts.has('all') || hiddenParts.has(part);
}
export function isAIPanelDiagnosticsProfilingEnabled(): boolean {
const raw = readLocalStorageValue(AI_PANEL_DIAGNOSTIC_PROFILE_KEY).trim().toLowerCase();
return raw === '1' || raw === 'true' || raw === 'yes' || raw === 'on';
}
export function logAIPanelProfiler(
id: string,
phase: 'mount' | 'update' | 'nested-update',
actualDuration: number,
baseDuration: number,
): void {
if (!isAIPanelDiagnosticsProfilingEnabled()) return;
console.info(
`[AI panel profile] ${id} ${phase}: actual=${actualDuration.toFixed(1)}ms base=${baseDuration.toFixed(1)}ms`,
);
}
export function profileAIPanelCalculation<T>(label: string, calculate: () => T): T {
if (!isAIPanelDiagnosticsProfilingEnabled()) return calculate();
const startedAt = performance.now();
try {
return calculate();
} finally {
const elapsed = performance.now() - startedAt;
console.info(`[AI panel profile] ${label}: ${elapsed.toFixed(1)}ms`);
}
}
export function getAIPanelProfilerProps(id: string): Pick<React.ProfilerProps, 'id' | 'onRender'> {
return {
id,
onRender: logAIPanelProfiler,
};
}