feat: configure canvas pages sent for note analysis

Canvas analysis previously sent every page. Add a Magic Notes setting for
1-8 canvas pages, defaulting to 1 for new and historical settings. Select
the first N pages in current canvas order before capture and use the same
text/image range for saved entries, drafts and canvas-source todos.

Keep full 50-page saving/export, expose the same setting through config
tools, and use the shared settings select with an inline help icon.
Include pagination, persistence, production IPC and isolated Electron
regressions, including text-only input and scaled page boundaries.

Validation: focused feature tests and isolated Electron regressions passed;
the final compact UI passed 14 tests. Typecheck and lint were reported
passing by the coordinating agent. No full-suite pass is claimed because
the completed full test command exposed no summary. No live model calls
were made for this commit preparation.

Release note: 魔法笔记新增“发送画布页数”设置，可选 1～8 页，默认 1 页，按当前画布顺序发送前 N 页的文字和图片；标题旁问号可查看说明，保存和导出完整画布不受影响。

tests/support/magic-notes-analysis-main.ts

@@ -3,6 +3,7 @@ import { writeFileSync } from 'node:fs'
 import { join } from 'node:path'
 import { registerIpcHandlers } from '../../src/main/ipc'
 import { AssistantDatabase } from '../../src/main/assistant/assistant-database'
+import { ApplicationSettingsStore } from '../../src/main/application-settings-store'
 
 const directory = process.env.GB_NOTES_PROBE_DIRECTORY!
 const url = process.env.GB_NOTES_PROBE_URL!
@@ -14,13 +15,16 @@ app.whenReady().then(async () => {
   } })
   const database = new AssistantDatabase(join(directory, 'assistant.sqlite'))
   database.initialize(directory)
-  const runtimeSettings = { workspacePath: directory, supportsImageInput: true,
-    defaultModelProfileId: 'vision', modelProfiles: [{ id: 'vision', supportsImageInput: true }] }
+  const supportsImageInput = process.env.GB_NOTES_PROBE_VISION === 'true'
+  const runtimeSettings = { workspacePath: directory, supportsImageInput,
+    defaultModelProfileId: 'vision', modelProfiles: [{ id: 'vision', supportsImageInput }] }
+  const applicationSettings = new ApplicationSettingsStore(join(directory, 'application.json'))
+  await applicationSettings.update({ magicNoteCommentMode: 'after-save-auto', magicNoteCommentFormat: 'structured' })
   const dispose = registerIpcHandlers(win, { capability: 'text' } as never, 'CommandOrControl+Shift+Space',
     { getResolvedSettings: async () => runtimeSettings, getPublicSettings: async () => runtimeSettings } as never,
     {} as never, { clear() {}, cancelImport() {} } as never, {} as never, database,
     { clear() {} } as never, {} as never, async () => {}, undefined, undefined, undefined, undefined,
-    { get: async () => ({ magicNoteCommentMode: 'after-save-auto', magicNoteCommentFormat: 'structured' }), onChanged: () => () => {} } as never)
+    applicationSettings)
   win.webContents.on('console-message', event => console.log(event.message))
   try {
     await win.loadURL(url)
@@ -29,7 +33,7 @@ app.whenReady().then(async () => {
       await new Promise(resolve => setTimeout(resolve, 50))
     }
     const result = await win.webContents.executeJavaScript('window.notesAnalysisRegression().catch(error => ({ error: error.stack, body: document.body.innerText }))')
-    writeFileSync(join(directory, 'result.json'), JSON.stringify(result))
+    writeFileSync(join(directory, 'result.json'), JSON.stringify({ ...result, requests: (globalThis as typeof globalThis & { analysisRequests: unknown[] }).analysisRequests }))
   } finally {
     await dispose()
     database.close()