feat: open local runtime clients from the composer
Add composer shortcuts for local Continue and OpenCode terminals and the official DeepSeek Harness Web client, using the current project and model bridge. Manage browser service reuse, stop actions and terminal cleanup. Upgrade DeepSeek Harness to 0.1.7-rc.2 and Cordis to 4.0.4. Include the coordinated IPC handler extraction and related tests and documentation. Remote native-client coordinator wiring, managed Node consolidation, Ask MCP mappings and full desktop/package acceptance remain unfinished; this commit records the implemented local workflow and supporting SSH groundwork. Validation: typecheck and lint passed; 267 focused tests passed and 5 skipped. No new real-provider calls were made for this commit. Prior real-model evidence and remaining acceptance work are documented in the feature progress files. Release note: 本地项目选择 Continue 或 OpenCode 后，可从输入框下方打开原生终端；选择 DS 后，可打开使用当前项目和模型的官方 Web 客户端。客户端使用独立会话，DS 网页关闭后服务继续运行，可在 GoodBuddy 中停止；远程入口尚未完成。
This commit is contained in:
mesalogo
@@ -0,0 +1,253 @@
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import { randomUUID } from 'node:crypto'
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import type { BrowserWindow, ipcMain } from 'electron'
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import { ipcChannels } from '../../shared/ipc-channels'
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import {
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magicNoteAnalyzeSchema,
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magicNoteDraftAnalyzeSchema,
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magicTodoIdSchema
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} from '../../shared/magic-notes-contracts'
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import { createDefaultModelRuntime } from '../agent/create-runtime'
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import type { RuntimeModelUsageEvent } from '../agent/runtime'
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import type { ApplicationSettingsStore } from '../application-settings-store'
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import type { AssistantDatabase } from '../assistant/assistant-database'
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import type { RuntimeSettingsStore } from '../runtime-settings-store'
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import { assertTrustedSender } from '../trusted-ipc-sender'
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import {
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analyzeMagicNoteDraft,
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analyzeMagicNoteEntry,
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analyzeMagicTodo
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} from './magic-note-analyzer'
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import { magicNotePlainText, validateMagicNoteContent } from './rich-content'
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type AnalysisDependencies = {
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window: BrowserWindow
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assistantDatabase: AssistantDatabase
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settingsStore: Pick<RuntimeSettingsStore, 'getResolvedSettings'>
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applicationSettingsStore?: Pick<ApplicationSettingsStore, 'get'>
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persistModelUsage: (event: RuntimeModelUsageEvent) => void
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safeRuntimeError: (error: unknown, fallback: string) => string
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}
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export function registerMagicNotesAnalysisIpcHandlers(
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registerHandler: typeof ipcMain.handle,
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{ window, assistantDatabase, settingsStore, applicationSettingsStore, persistModelUsage, safeRuntimeError }: AnalysisDependencies
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): void {
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registerHandler(
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ipcChannels.magicNotesAnalyze,
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async (event, input: unknown) => {
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assertTrustedSender(event, window)
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const { entryId, requestId, direction, format, canvasImages, canvasPageText, expectedRevision } =
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magicNoteAnalyzeSchema.parse(input)
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const settings = await settingsStore.getResolvedSettings()
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const entry = assistantDatabase.getMagicNoteEntry(entryId)
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if (expectedRevision !== undefined && entry.revision !== expectedRevision) {
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throw new Error('记录已被更新，请重新捕获并分析')
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}
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const note = assistantDatabase.getMagicNoteContext(entry.noteId)
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const canvasPageCount = (await applicationSettingsStore?.get())?.magicNoteCanvasPageCount ?? 1
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const analysisRuntime = createDefaultModelRuntime(
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settings.workspacePath,
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settings
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)
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assistantDatabase.createTask({
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id: requestId,
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title: `分析笔记：${note.title}`,
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instructions: '使用无工具模型对笔记记录进行只读分析',
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workMode: 'ask',
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origin: 'assistant',
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visible: false
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})
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try {
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const comments = await analyzeMagicNoteEntry(
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analysisRuntime,
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entry,
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{ requestId, direction, format, canvasImages, canvasPageText },
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format === 'structured'
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? undefined
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: (delta) => {
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if (!window.isDestroyed()) {
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window.webContents.send(
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ipcChannels.magicNotesAnalysisEvent,
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{
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requestId,
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type: 'text',
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delta,
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direction,
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format
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}
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)
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}
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},
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persistModelUsage,
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{ supportsImageInput: settings.supportsImageInput === true, canvasPageCount }
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)
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const analyzedNote = assistantDatabase.saveMagicNoteAnalysis({
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entryId,
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expectedRevision: entry.revision,
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comments
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})
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assistantDatabase.updateTaskStatus(requestId, 'completed')
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return analyzedNote
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} catch (error) {
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const message = safeRuntimeError(error, '魔法笔记 AI 分析失败')
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assistantDatabase.updateTaskStatus(requestId, 'failed', message)
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throw new Error(message, { cause: error })
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} finally {
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try {
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await analysisRuntime.releaseConversation?.(
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`magic-notes:${entry.id}`
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)
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} finally {
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await analysisRuntime.dispose()
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}
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}
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}
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)
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registerHandler(
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ipcChannels.magicNotesAnalyzeDraft,
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async (event, input: unknown) => {
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assertTrustedSender(event, window)
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const parsed = magicNoteDraftAnalyzeSchema.parse(input)
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const content = validateMagicNoteContent(parsed.content)
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const plainText = magicNotePlainText(content)
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const settings = await settingsStore.getResolvedSettings()
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const canvasPageCount = (await applicationSettingsStore?.get())?.magicNoteCanvasPageCount ?? 1
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const analysisRuntime = createDefaultModelRuntime(
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settings.workspacePath,
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settings
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)
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const { requestId, direction, format, canvasImages, canvasPageText } = parsed
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assistantDatabase.createTask({
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id: requestId,
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title: '分析未保存笔记草稿',
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instructions: '使用无工具模型对未保存笔记草稿进行只读分析',
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workMode: 'ask',
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origin: 'assistant',
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visible: false
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})
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try {
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const comments = await analyzeMagicNoteDraft(
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analysisRuntime,
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plainText,
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{ requestId, direction, format, canvasImages, canvasPageText },
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format === 'structured'
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? undefined
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: (delta) => {
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if (!window.isDestroyed()) {
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window.webContents.send(
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ipcChannels.magicNotesAnalysisEvent,
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{
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requestId,
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type: 'text',
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delta,
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direction,
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format
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}
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)
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}
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},
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persistModelUsage,
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{ supportsImageInput: settings.supportsImageInput === true, content, canvasPageCount }
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)
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assistantDatabase.updateTaskStatus(requestId, 'completed')
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return {
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id: randomUUID(),
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comments,
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inputMode: comments[0]?.inputMode,
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analyzedAt: new Date().toISOString()
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}
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} catch (error) {
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const message = safeRuntimeError(error, '魔法笔记草稿 AI 分析失败')
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assistantDatabase.updateTaskStatus(requestId, 'failed', message)
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throw new Error(message, { cause: error })
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} finally {
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try {
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await analysisRuntime.releaseConversation?.(
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`magic-note-drafts:${requestId}`
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)
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} finally {
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await analysisRuntime.dispose()
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}
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}
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}
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)
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}
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export function registerMagicTodosAnalysisIpcHandlers(
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registerHandler: typeof ipcMain.handle,
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{ window, assistantDatabase, settingsStore, applicationSettingsStore, persistModelUsage, safeRuntimeError }: AnalysisDependencies
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): void {
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registerHandler(
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ipcChannels.magicTodosAnalyze,
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async (event, input: unknown) => {
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assertTrustedSender(event, window)
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const { todoId, requestId, direction, format, canvasImages, canvasPageText, sourceEntryRevision } =
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magicTodoIdSchema.parse(input)
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const settings = await settingsStore.getResolvedSettings()
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const todo = assistantDatabase.getMagicTodo(todoId)
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const canvasPageCount = (await applicationSettingsStore?.get())?.magicNoteCanvasPageCount ?? 1
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const entry = assistantDatabase.getMagicNoteEntry(todo.entryId)
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if (sourceEntryRevision !== undefined && entry.revision !== sourceEntryRevision) {
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throw new Error('来源记录已被更新，请重新捕获并分析')
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}
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const analysisRuntime = createDefaultModelRuntime(
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settings.workspacePath,
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settings
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)
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assistantDatabase.createTask({
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id: requestId,
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title: `分析待办：${todo.title}`,
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instructions: '使用无工具模型对魔法笔记待办进行只读分析',
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workMode: 'ask',
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origin: 'assistant',
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visible: false
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})
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try {
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const comments = await analyzeMagicTodo(
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analysisRuntime,
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todo,
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{ requestId, direction, format, canvasImages, canvasPageText },
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format === 'structured'
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? undefined
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: (delta) => {
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if (!window.isDestroyed()) {
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window.webContents.send(
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ipcChannels.magicNotesAnalysisEvent,
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{
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requestId,
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type: 'text',
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delta,
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direction,
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format
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}
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)
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}
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},
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persistModelUsage,
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{ supportsImageInput: settings.supportsImageInput === true, content: entry.content, canvasPageCount }
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)
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const analyzedTodo = assistantDatabase.saveMagicTodoAnalysis({
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todoId,
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expectedRevision: todo.revision,
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sourceEntryRevision: entry.revision,
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comments
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})
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assistantDatabase.updateTaskStatus(requestId, 'completed')
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return analyzedTodo
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} catch (error) {
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const message = safeRuntimeError(error, '魔法笔记待办 AI 分析失败')
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assistantDatabase.updateTaskStatus(requestId, 'failed', message)
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throw new Error(message, { cause: error })
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} finally {
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try {
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await analysisRuntime.releaseConversation?.(
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`magic-todos:${todo.id}`
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)
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} finally {
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await analysisRuntime.dispose()
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}
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}
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}
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)
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}
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