Merge branch 'dev' into dependabot/npm_and_yarn/dev/react-dom-19.2.5

Bumps [react-dom](https://github.com/facebook/react/tree/HEAD/packages/react-dom) from 19.2.4 to 19.2.5.
- [Release notes](https://github.com/facebook/react/releases)
- [Changelog](https://github.com/facebook/react/blob/main/CHANGELOG.md)
- [Commits](https://github.com/facebook/react/commits/v19.2.5/packages/react-dom)

---
updated-dependencies:
- dependency-name: react-dom
  dependency-version: 19.2.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>

.github/workflows/dev-daily-fixed.yml

@@ -60,23 +60,7 @@ jobs:
           fi
           gh release create "$FIXED_DEV_TAG" --repo "$GITHUB_REPOSITORY" --title "Daily Dev Build" --notes "开发版发布页" --prerelease --target "$TARGET_BRANCH"
           RELEASE_REST_ID="$(gh api "repos/$GITHUB_REPOSITORY/releases/tags/$FIXED_DEV_TAG" --jq '.id')"
-          RELEASE_ENDPOINT="repos/$GITHUB_REPOSITORY/releases/tags/$FIXED_DEV_TAG"
-          settled="false"
-          for i in 1 2 3 4 5; do
-            gh api --method PATCH "repos/$GITHUB_REPOSITORY/releases/$RELEASE_REST_ID" -F draft=false -F prerelease=true >/dev/null 2>&1 || true
-            DRAFT_STATE="$(gh api "$RELEASE_ENDPOINT" --jq '.draft' 2>/dev/null || echo true)"
-            PRERELEASE_STATE="$(gh api "$RELEASE_ENDPOINT" --jq '.prerelease' 2>/dev/null || echo false)"
-            if [ "$DRAFT_STATE" = "false" ] && [ "$PRERELEASE_STATE" = "true" ]; then
-              settled="true"
-              break
-            fi
-            sleep 2
-          done
-          if [ "$settled" != "true" ]; then
-            echo "Failed to settle release state after create:"
-            gh api "$RELEASE_ENDPOINT" --jq '{draft: .draft, prerelease: .prerelease, url: .html_url}'
-            exit 1
-          fi
+          gh api --method PATCH "repos/$GITHUB_REPOSITORY/releases/$RELEASE_REST_ID" -f draft=false -f prerelease=true >/dev/null
 
   dev-mac-arm64:
     needs: prepare
@@ -97,22 +81,6 @@ jobs:
       - name: Install Dependencies
         run: npm install
 
-      - name: Ensure mac key helpers are executable
-        shell: bash
-        run: |
-          set -euo pipefail
-          for file in \
-            resources/key/macos/universal/xkey_helper \
-            resources/key/macos/universal/image_scan_helper \
-            resources/key/macos/universal/xkey_helper_macos \
-            resources/key/macos/universal/libwx_key.dylib
-          do
-            if [ -f "$file" ]; then
-              chmod +x "$file"
-              ls -l "$file"
-            fi
-          done
-
       - name: Set dev version
         shell: bash
         run: npm version "${{ needs.prepare.outputs.dev_version }}" --no-git-tag-version --allow-same-version
@@ -302,25 +270,21 @@ jobs:
       - name: Update fixed dev release notes
         env:
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          FIXED_DEV_TAG: ${{ env.FIXED_DEV_TAG }}
         shell: bash
         run: |
           set -euo pipefail
 
-          TAG="${FIXED_DEV_TAG:-}"
-          if [ -z "$TAG" ]; then
-            echo "FIXED_DEV_TAG is empty, abort."
-            exit 1
-          fi
+          TAG="$FIXED_DEV_TAG"
           REPO="$GITHUB_REPOSITORY"
           RELEASE_PAGE="https://github.com/$REPO/releases/tag/$TAG"
-          echo "Using release tag: $TAG"
 
-          if ! gh api "repos/$REPO/releases/tags/$TAG" >/dev/null 2>&1; then
+          if ! gh release view "$TAG" --repo "$REPO" >/dev/null 2>&1; then
             echo "Release $TAG not found, skip notes update."
             exit 0
           fi
 
-          ASSETS_JSON="$(gh api "repos/$REPO/releases/tags/$TAG")"
+          ASSETS_JSON="$(gh release view "$TAG" --repo "$REPO" --json assets)"
 
           pick_asset() {
             local pattern="$1"
@@ -386,22 +350,4 @@ jobs:
           }
 
           update_release_notes
-          RELEASE_REST_ID="$(gh api "repos/$REPO/releases/tags/$TAG" --jq '.id')"
-          RELEASE_ENDPOINT="repos/$REPO/releases/tags/$TAG"
-          settled="false"
-          for i in 1 2 3 4 5; do
-            gh api --method PATCH "repos/$REPO/releases/$RELEASE_REST_ID" -F draft=false -F prerelease=true >/dev/null 2>&1 || true
-            DRAFT_STATE="$(gh api "$RELEASE_ENDPOINT" --jq '.draft' 2>/dev/null || echo true)"
-            PRERELEASE_STATE="$(gh api "$RELEASE_ENDPOINT" --jq '.prerelease' 2>/dev/null || echo false)"
-            if [ "$DRAFT_STATE" = "false" ] && [ "$PRERELEASE_STATE" = "true" ]; then
-              settled="true"
-              break
-            fi
-            sleep 2
-          done
-          if [ "$settled" != "true" ]; then
-            echo "Failed to settle release state after notes update:"
-            gh api "$RELEASE_ENDPOINT" --jq '{draft: .draft, prerelease: .prerelease, url: .html_url}'
-            exit 1
-          fi
-          gh api "repos/$REPO/releases/tags/$TAG" --jq '{isDraft: .draft, isPrerelease: .prerelease, url: .html_url}'
+          gh release view "$TAG" --repo "$REPO" --json isDraft,isPrerelease,url

.github/workflows/preview-nightly-main.yml

@@ -86,23 +86,7 @@ jobs:
           fi
           gh release create "$FIXED_PREVIEW_TAG" --repo "$GITHUB_REPOSITORY" --title "Preview Nightly Build" --notes "预览版发布页" --prerelease --target "$TARGET_BRANCH"
           RELEASE_REST_ID="$(gh api "repos/$GITHUB_REPOSITORY/releases/tags/$FIXED_PREVIEW_TAG" --jq '.id')"
-          RELEASE_ENDPOINT="repos/$GITHUB_REPOSITORY/releases/tags/$FIXED_PREVIEW_TAG"
-          settled="false"
-          for i in 1 2 3 4 5; do
-            gh api --method PATCH "repos/$GITHUB_REPOSITORY/releases/$RELEASE_REST_ID" -F draft=false -F prerelease=true >/dev/null 2>&1 || true
-            DRAFT_STATE="$(gh api "$RELEASE_ENDPOINT" --jq '.draft' 2>/dev/null || echo true)"
-            PRERELEASE_STATE="$(gh api "$RELEASE_ENDPOINT" --jq '.prerelease' 2>/dev/null || echo false)"
-            if [ "$DRAFT_STATE" = "false" ] && [ "$PRERELEASE_STATE" = "true" ]; then
-              settled="true"
-              break
-            fi
-            sleep 2
-          done
-          if [ "$settled" != "true" ]; then
-            echo "Failed to settle release state after create:"
-            gh api "$RELEASE_ENDPOINT" --jq '{draft: .draft, prerelease: .prerelease, url: .html_url}'
-            exit 1
-          fi
+          gh api --method PATCH "repos/$GITHUB_REPOSITORY/releases/$RELEASE_REST_ID" -f draft=false -f prerelease=true >/dev/null
 
   preview-mac-arm64:
     needs: prepare
@@ -124,22 +108,6 @@ jobs:
       - name: Install Dependencies
         run: npm install
 
-      - name: Ensure mac key helpers are executable
-        shell: bash
-        run: |
-          set -euo pipefail
-          for file in \
-            resources/key/macos/universal/xkey_helper \
-            resources/key/macos/universal/image_scan_helper \
-            resources/key/macos/universal/xkey_helper_macos \
-            resources/key/macos/universal/libwx_key.dylib
-          do
-            if [ -f "$file" ]; then
-              chmod +x "$file"
-              ls -l "$file"
-            fi
-          done
-
       - name: Set preview version
         shell: bash
         run: npm version "${{ needs.prepare.outputs.preview_version }}" --no-git-tag-version --allow-same-version
@@ -347,22 +315,17 @@ jobs:
         run: |
           set -euo pipefail
 
-          TAG="${FIXED_PREVIEW_TAG:-}"
-          if [ -z "$TAG" ]; then
-            echo "FIXED_PREVIEW_TAG is empty, abort."
-            exit 1
-          fi
+          TAG="$FIXED_PREVIEW_TAG"
           CURRENT_PREVIEW_VERSION="${{ needs.prepare.outputs.preview_version }}"
           REPO="$GITHUB_REPOSITORY"
           RELEASE_PAGE="https://github.com/$REPO/releases/tag/$TAG"
-          echo "Using release tag: $TAG"
 
-          if ! gh api "repos/$REPO/releases/tags/$TAG" >/dev/null 2>&1; then
+          if ! gh release view "$TAG" --repo "$REPO" >/dev/null 2>&1; then
             echo "Release $TAG not found (possibly all publish jobs failed), skip notes update."
             exit 0
           fi
 
-          ASSETS_JSON="$(gh api "repos/$REPO/releases/tags/$TAG")"
+          ASSETS_JSON="$(gh release view "$TAG" --repo "$REPO" --json assets)"
 
           pick_asset() {
             local pattern="$1"
@@ -429,22 +392,4 @@ jobs:
           }
 
           update_release_notes
-          RELEASE_REST_ID="$(gh api "repos/$REPO/releases/tags/$TAG" --jq '.id')"
-          RELEASE_ENDPOINT="repos/$REPO/releases/tags/$TAG"
-          settled="false"
-          for i in 1 2 3 4 5; do
-            gh api --method PATCH "repos/$REPO/releases/$RELEASE_REST_ID" -F draft=false -F prerelease=true >/dev/null 2>&1 || true
-            DRAFT_STATE="$(gh api "$RELEASE_ENDPOINT" --jq '.draft' 2>/dev/null || echo true)"
-            PRERELEASE_STATE="$(gh api "$RELEASE_ENDPOINT" --jq '.prerelease' 2>/dev/null || echo false)"
-            if [ "$DRAFT_STATE" = "false" ] && [ "$PRERELEASE_STATE" = "true" ]; then
-              settled="true"
-              break
-            fi
-            sleep 2
-          done
-          if [ "$settled" != "true" ]; then
-            echo "Failed to settle release state after notes update:"
-            gh api "$RELEASE_ENDPOINT" --jq '{draft: .draft, prerelease: .prerelease, url: .html_url}'
-            exit 1
-          fi
-          gh api "repos/$REPO/releases/tags/$TAG" --jq '{isDraft: .draft, isPrerelease: .prerelease, url: .html_url}'
+          gh release view "$TAG" --repo "$REPO" --json isDraft,isPrerelease,url

.github/workflows/release.yml

@@ -31,22 +31,6 @@ jobs:
       - name: Install Dependencies
         run: npm install
 
-      - name: Ensure mac key helpers are executable
-        shell: bash
-        run: |
-          set -euo pipefail
-          for file in \
-            resources/key/macos/universal/xkey_helper \
-            resources/key/macos/universal/image_scan_helper \
-            resources/key/macos/universal/xkey_helper_macos \
-            resources/key/macos/universal/libwx_key.dylib
-          do
-            if [ -f "$file" ]; then
-              chmod +x "$file"
-              ls -l "$file"
-            fi
-          done
-
       - name: Sync version with tag
         shell: bash
         run: |

README.md

@@ -1,23 +1,34 @@
 # WeFlow
 
-WeFlow 是一个**完全本地**的微信**实时**聊天记录查看、分析与导出工具。它可以实时获取你的微信聊天记录并将其导出，还可以根据你的聊天记录为你生成独一无二的分析报告。
+WeFlow 是一个**完全本地**的微信**实时**聊天记录查看、分析与导出工具。它可以实时获取你的微信聊天记录并将其导出，还可以根据你的聊天记录为你生成独一无二的分析报告
+
+---
 
 <p align="center">
-  <img src="app.png" alt="WeFlow 应用预览" width="90%">
+  <img src="app.png" alt="WeFlow" width="90%">
 </p>
 
+---
+
 <p align="center">
-  <!-- 第一行修复样式 -->
-  <a href="https://github.com/hicccc77/WeFlow/stargazers"><img src="https://img.shields.io/github/stars/hicccc77/WeFlow?style=flat&label=Stars&labelColor=1F2937&color=2563EB" alt="Stargazers"></a>
-  <a href="https://github.com/hicccc77/WeFlow/network/members"><img src="https://img.shields.io/github/forks/hicccc77/WeFlow?style=flat&label=Forks&labelColor=1F2937&color=7C3AED" alt="Forks"></a>
-  <a href="https://github.com/hicccc77/WeFlow/issues"><img src="https://img.shields.io/github/issues/hicccc77/WeFlow?style=flat&label=Issues&labelColor=1F2937&color=D97706" alt="Issues"></a>
-  <a href="https://github.com/hicccc77/WeFlow/releases"><img src="https://img.shields.io/github/downloads/hicccc77/WeFlow/total?style=flat&label=Downloads&labelColor=1F2937&color=059669" alt="Downloads"></a>
-  <br><br>
-  <!-- 第二行：电报矮一点(22px)，排名高一点(32px)，使用 vertical-align: middle 居中对齐 -->
-  <a href="https://t.me/weflow_cc"><img src="https://img.shields.io/badge/Telegram-频道-1D9BF0?style=flat&logo=telegram&logoColor=white&labelColor=1F2937&color=1D9BF0" alt="Telegram Channel" style="height: 22px; vertical-align: middle;"></a>
-  <a href="https://www.star-history.com/hicccc77/weflow"><img src="https://api.star-history.com/badge?repo=hicccc77/WeFlow&theme=dark" alt="Star History Rank" style="height: 32px; vertical-align: middle;"></a>
+<a href="https://github.com/hicccc77/WeFlow/stargazers">
+<img src="https://img.shields.io/github/stars/hicccc77/WeFlow?style=flat-square" alt="Stargazers">
+</a>
+<a href="https://github.com/hicccc77/WeFlow/network/members">
+<img src="https://img.shields.io/github/forks/hicccc77/WeFlow?style=flat-square" alt="Forks">
+</a>
+<a href="https://github.com/hicccc77/WeFlow/issues">
+<img src="https://img.shields.io/github/issues/hicccc77/WeFlow?style=flat-square" alt="Issues">
+</a>
+<a href="https://github.com/hicccc77/WeFlow/releases">
+<img src="https://img.shields.io/github/downloads/hicccc77/WeFlow/total?style=flat-square" alt="Downloads" />
+</a>
+<a href="https://t.me/weflow_cc">
+<img src="https://img.shields.io/badge/Telegram%20频道-0088cc?style=flat-square&logo=telegram&logoColor=0088cc&labelColor=white" alt="Telegram">
+</a>
 </p>
 
+
 > [!TIP]
 > 如果导出聊天记录后，想深入分析聊天内容可以试试 [ChatLab](https://chatlab.fun/)
 
@@ -36,12 +47,14 @@ WeFlow 是一个**完全本地**的微信**实时**聊天记录查看、分析
 
 ## 支持平台与设备
 
+
 | 平台 | 设备/架构 | 安装包 |
 |------|----------|--------|
 | Windows | Windows10+、x64（amd64） | `.exe` |
 | macOS | Apple Silicon（M 系列，arm64） | `.dmg` |
 | Linux | x64 设备（amd64） | `.AppImage`、`.tar.gz` |
 
+
 ## 快速开始
 
 若你只想使用成品版本，可前往 [Releases](https://github.com/hicccc77/WeFlow/releases) 下载并安装。
@@ -80,6 +93,7 @@ WeFlow 提供本地 HTTP API 服务，支持通过接口查询消息数据，可
 
 完整接口文档：[点击查看](docs/HTTP-API.md)
 
+
 ## 面向开发者
 
 如果你想从源码构建或为项目贡献代码，请遵循以下步骤：
@@ -94,6 +108,7 @@ npm install
 
 # 3. 运行应用（开发模式）
 npm run dev
+
 ```
 
 ## 致谢
@@ -105,16 +120,18 @@ npm run dev
 
 如果 WeFlow 确实帮到了你，可以考虑请我们喝杯咖啡：
 
-> TRC20 **Address:** `TZCtAw8CaeARWZBfvjidCnTcfnAtf6nvS6`
+
+> TRC20  **Address:** `TZCtAw8CaeARWZBfvjidCnTcfnAtf6nvS6`
+
 
 ## Star History
 
 <a href="https://www.star-history.com/#hicccc77/WeFlow&type=date&legend=top-left">
-  <picture>
-    <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=hicccc77/WeFlow&type=date&theme=dark&legend=top-left" />
-    <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=hicccc77/WeFlow&type=date&legend=top-left" />
-    <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=hicccc77/WeFlow&type=date&legend=top-left" />
-  </picture>
+ <picture>
+   <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=hicccc77/WeFlow&type=date&theme=dark&legend=top-left" />
+   <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=hicccc77/WeFlow&type=date&legend=top-left" />
+   <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=hicccc77/WeFlow&type=date&legend=top-left" />
+ </picture>
 </a>
 
 <div align="center">

electron/main.ts

@@ -31,10 +31,6 @@ import { destroyNotificationWindow, registerNotificationHandlers, showNotificati
 import { httpService } from './services/httpService'
 import { messagePushService } from './services/messagePushService'
 import { insightService } from './services/insightService'
-import { aiAnalysisService } from './services/aiAnalysisService'
-import { aiAgentService } from './services/aiAgentService'
-import { aiAssistantService } from './services/aiAssistantService'
-import { aiSkillService } from './services/aiSkillService'
 import { bizService } from './services/bizService'
 
 // 配置自动更新
@@ -1602,14 +1598,6 @@ const runLegacySnsCacheMigration = async (
   return { copied, skipped, totalFiles: total }
 }
 
-async function ensureAiSqlLabConnected(): Promise<{ success: boolean; error?: string }> {
-  const connectResult = await chatService.connect()
-  if (!connectResult.success) {
-    return { success: false, error: connectResult.error || '数据库未连接' }
-  }
-  return { success: true }
-}
-
 // 注册 IPC 处理器
 function registerIpcHandlers() {
   registerNotificationHandlers()
@@ -1647,180 +1635,6 @@ function registerIpcHandlers() {
     return insightService.triggerTest()
   })
 
-  ipcMain.handle('insight:generateFootprintInsight', async (_, payload: {
-    rangeLabel: string
-    summary: {
-      private_inbound_people?: number
-      private_replied_people?: number
-      private_outbound_people?: number
-      private_reply_rate?: number
-      mention_count?: number
-      mention_group_count?: number
-    }
-    privateSegments?: Array<{ displayName?: string; session_id?: string; incoming_count?: number; outgoing_count?: number; message_count?: number; replied?: boolean }>
-    mentionGroups?: Array<{ displayName?: string; session_id?: string; count?: number }>
-  }) => {
-    return insightService.generateFootprintInsight(payload)
-  })
-
-  // ==================== AI Analysis V2 ====================
-  ipcMain.handle('ai:listConversations', async (_, payload?: { page?: number; pageSize?: number }) =>
-    aiAnalysisService.listConversations(payload?.page, payload?.pageSize)
-  )
-  ipcMain.handle('ai:createConversation', async (_, payload?: { title?: string }) =>
-    aiAnalysisService.createConversation(payload?.title || '')
-  )
-  ipcMain.handle('ai:renameConversation', async (_, payload: { conversationId: string; title: string }) =>
-    aiAnalysisService.renameConversation(payload.conversationId, payload.title)
-  )
-  ipcMain.handle('ai:deleteConversation', async (_, conversationId: string) =>
-    aiAnalysisService.deleteConversation(conversationId)
-  )
-  ipcMain.handle('ai:listMessages', async (_, payload: { conversationId: string; limit?: number }) =>
-    aiAnalysisService.listMessages(payload.conversationId, payload.limit)
-  )
-  ipcMain.handle('ai:exportConversation', async (_, payload: { conversationId: string }) =>
-    aiAnalysisService.exportConversation(payload.conversationId)
-  )
-  ipcMain.handle('ai:getToolCatalog', async () => aiAnalysisService.getToolCatalog())
-  ipcMain.handle('ai:executeTool', async (_, payload: { name: string; args?: Record<string, any> }) =>
-    aiAnalysisService.executeTool(payload.name, payload.args || {})
-  )
-  ipcMain.handle('ai:cancelToolTest', async (_, payload?: { taskId?: string }) =>
-    aiAnalysisService.cancelToolTest(payload?.taskId)
-  )
-
-  ipcMain.handle('agent:runStream', async (event, payload: {
-    mode?: 'chat' | 'sql'
-    conversationId?: string
-    userInput: string
-    assistantId?: string
-    activeSkillId?: string
-    chatScope?: 'group' | 'private'
-    sqlContext?: { schemaText?: string; targetHint?: string }
-  }) => {
-    return aiAgentService.runStream(payload, {
-      onChunk: (chunk) => {
-        try {
-          event.sender.send('agent:stream', chunk)
-        } catch {
-          // ignore sender errors
-        }
-      }
-    })
-  })
-  ipcMain.handle('agent:abort', async (_, payload: { runId?: string; conversationId?: string }) =>
-    aiAgentService.abort(payload || {})
-  )
-
-  ipcMain.handle('assistant:getAll', async () => aiAssistantService.getAll())
-  ipcMain.handle('assistant:getConfig', async (_, id: string) => aiAssistantService.getConfig(id))
-  ipcMain.handle('assistant:create', async (_, payload: any) => aiAssistantService.create(payload || {}))
-  ipcMain.handle('assistant:update', async (_, payload: { id: string; updates: any }) =>
-    aiAssistantService.update(payload.id, payload.updates || {})
-  )
-  ipcMain.handle('assistant:delete', async (_, id: string) => aiAssistantService.delete(id))
-  ipcMain.handle('assistant:reset', async (_, id: string) => aiAssistantService.reset(id))
-  ipcMain.handle('assistant:getBuiltinCatalog', async () => aiAssistantService.getBuiltinCatalog())
-  ipcMain.handle('assistant:getBuiltinToolCatalog', async () => aiAssistantService.getBuiltinToolCatalog())
-  ipcMain.handle('assistant:importFromMd', async (_, rawMd: string) => aiAssistantService.importFromMd(rawMd))
-
-  ipcMain.handle('skill:getAll', async () => aiSkillService.getAll())
-  ipcMain.handle('skill:getConfig', async (_, id: string) => aiSkillService.getConfig(id))
-  ipcMain.handle('skill:create', async (_, rawMd: string) => aiSkillService.create(rawMd))
-  ipcMain.handle('skill:update', async (_, payload: { id: string; rawMd: string }) =>
-    aiSkillService.update(payload.id, payload.rawMd)
-  )
-  ipcMain.handle('skill:delete', async (_, id: string) => aiSkillService.delete(id))
-  ipcMain.handle('skill:getBuiltinCatalog', async () => aiSkillService.getBuiltinCatalog())
-  ipcMain.handle('skill:importFromMd', async (_, rawMd: string) => aiSkillService.importFromMd(rawMd))
-
-  ipcMain.handle('llm:getConfig', async () => ({
-    success: true,
-    config: {
-      apiBaseUrl: String(configService?.get('aiModelApiBaseUrl') || ''),
-      apiKey: String(configService?.get('aiModelApiKey') || ''),
-      model: String(configService?.get('aiModelApiModel') || 'gpt-4o-mini')
-    }
-  }))
-  ipcMain.handle('llm:setConfig', async (_, payload: { apiBaseUrl?: string; apiKey?: string; model?: string }) => {
-    if (typeof payload?.apiBaseUrl === 'string') configService?.set('aiModelApiBaseUrl', payload.apiBaseUrl)
-    if (typeof payload?.apiKey === 'string') configService?.set('aiModelApiKey', payload.apiKey)
-    if (typeof payload?.model === 'string') configService?.set('aiModelApiModel', payload.model)
-    return { success: true }
-  })
-  ipcMain.handle('llm:listModels', async () => ({
-    success: true,
-    models: [
-      { id: 'gpt-4o-mini', label: 'gpt-4o-mini' },
-      { id: 'gpt-4o', label: 'gpt-4o' },
-      { id: 'gpt-5-mini', label: 'gpt-5-mini' }
-    ]
-  }))
-
-  ipcMain.handle('chat:getSchema', async (_, payload?: { sessionId?: string }) => {
-    const connectResult = await ensureAiSqlLabConnected()
-    if (!connectResult.success) {
-      return { success: false, error: connectResult.error || '数据库未连接' }
-    }
-    return wcdbService.sqlLabGetSchema(payload)
-  })
-  ipcMain.handle('chat:executeSQL', async (_, payload: {
-    kind: 'message' | 'contact' | 'biz'
-    path?: string | null
-    sql: string
-    limit?: number
-  }) => {
-    const connectResult = await ensureAiSqlLabConnected()
-    if (!connectResult.success) {
-      return { success: false, error: connectResult.error || '数据库未连接' }
-    }
-    return wcdbService.sqlLabExecuteReadonly(payload)
-  })
-
-  // 兼容层：旧 aiAnalysis API 转调新实现
-  ipcMain.handle('aiAnalysis:listConversations', async (_, payload?: { page?: number; pageSize?: number }) =>
-    aiAnalysisService.listConversations(payload?.page, payload?.pageSize)
-  )
-  ipcMain.handle('aiAnalysis:createConversation', async (_, payload?: { title?: string }) =>
-    aiAnalysisService.createConversation(payload?.title || '')
-  )
-  ipcMain.handle('aiAnalysis:deleteConversation', async (_, conversationId: string) =>
-    aiAnalysisService.deleteConversation(conversationId)
-  )
-  ipcMain.handle('aiAnalysis:listMessages', async (_, payload: { conversationId: string; limit?: number }) =>
-    aiAnalysisService.listMessages(payload.conversationId, payload.limit)
-  )
-  ipcMain.handle('aiAnalysis:sendMessage', async (event, payload: {
-    conversationId: string
-    userInput: string
-    options?: { parentMessageId?: string; persistUserMessage?: boolean; assistantId?: string; activeSkillId?: string }
-  }) =>
-    aiAnalysisService.sendMessage(payload.conversationId, payload.userInput, payload.options, {
-      onRunEvent: (runEvent) => {
-        try {
-          event.sender.send('aiAnalysis:runEvent', runEvent)
-        } catch {
-          // ignore sender errors
-        }
-      }
-    })
-  )
-  ipcMain.handle('aiAnalysis:retryMessage', async (event, payload: { conversationId: string; userMessageId?: string }) =>
-    aiAnalysisService.retryMessage(payload, {
-      onRunEvent: (runEvent) => {
-        try {
-          event.sender.send('aiAnalysis:runEvent', runEvent)
-        } catch {
-          // ignore sender errors
-        }
-      }
-    })
-  )
-  ipcMain.handle('aiAnalysis:abortRun', async (_, payload: { runId?: string; conversationId?: string }) =>
-    aiAnalysisService.abortRun(payload || {})
-  )
-
   ipcMain.handle('config:clear', async () => {
     if (isLaunchAtStartupSupported() && getSystemLaunchAtStartup()) {
       const result = setSystemLaunchAtStartup(false)
@@ -2549,21 +2363,6 @@ function registerIpcHandlers() {
     return chatService.searchMessages(keyword, sessionId, limit, offset, beginTimestamp, endTimestamp)
   })
 
-  ipcMain.handle('chat:getMyFootprintStats', async (_, beginTimestamp: number, endTimestamp: number, options?: {
-    myWxid?: string
-    privateSessionIds?: string[]
-    groupSessionIds?: string[]
-    mentionLimit?: number
-    privateLimit?: number
-    mentionMode?: 'text_at_me' | string
-  }) => {
-    return chatService.getMyFootprintStats(beginTimestamp, endTimestamp, options)
-  })
-
-  ipcMain.handle('chat:exportMyFootprint', async (_, beginTimestamp: number, endTimestamp: number, format: 'csv' | 'json', filePath: string) => {
-    return chatService.exportMyFootprint(beginTimestamp, endTimestamp, format, filePath)
-  })
-
   ipcMain.handle('sns:getTimeline', async (_, limit: number, offset: number, usernames?: string[], keyword?: string, startTime?: number, endTime?: number) => {
     return snsService.getTimeline(limit, offset, usernames, keyword, startTime, endTime)
   })

electron/preload.ts

@@ -258,31 +258,6 @@ contextBridge.exposeInMainWorld('electronAPI', {
       ipcRenderer.invoke('chat:getMessage', sessionId, localId),
     searchMessages: (keyword: string, sessionId?: string, limit?: number, offset?: number, beginTimestamp?: number, endTimestamp?: number) =>
       ipcRenderer.invoke('chat:searchMessages', keyword, sessionId, limit, offset, beginTimestamp, endTimestamp),
-    getMyFootprintStats: (
-      beginTimestamp: number,
-      endTimestamp: number,
-      options?: {
-        myWxid?: string
-        privateSessionIds?: string[]
-        groupSessionIds?: string[]
-        mentionLimit?: number
-        privateLimit?: number
-        mentionMode?: 'text_at_me' | string
-      }
-    ) => ipcRenderer.invoke('chat:getMyFootprintStats', beginTimestamp, endTimestamp, options),
-    exportMyFootprint: (
-      beginTimestamp: number,
-      endTimestamp: number,
-      format: 'csv' | 'json',
-      filePath: string
-    ) => ipcRenderer.invoke('chat:exportMyFootprint', beginTimestamp, endTimestamp, format, filePath),
-    getSchema: (payload?: { sessionId?: string }) => ipcRenderer.invoke('chat:getSchema', payload),
-    executeSQL: (payload: {
-      kind: 'message' | 'contact' | 'biz'
-      path?: string | null
-      sql: string
-      limit?: number
-    }) => ipcRenderer.invoke('chat:executeSQL', payload),
     onWcdbChange: (callback: (event: any, data: { type: string; json: string }) => void) => {
       ipcRenderer.on('wcdb-change', callback)
       return () => ipcRenderer.removeListener('wcdb-change', callback)
@@ -533,188 +508,6 @@ contextBridge.exposeInMainWorld('electronAPI', {
   insight: {
     testConnection: () => ipcRenderer.invoke('insight:testConnection'),
     getTodayStats: () => ipcRenderer.invoke('insight:getTodayStats'),
-    triggerTest: () => ipcRenderer.invoke('insight:triggerTest'),
-    generateFootprintInsight: (payload: {
-      rangeLabel: string
-      summary: {
-        private_inbound_people?: number
-        private_replied_people?: number
-        private_outbound_people?: number
-        private_reply_rate?: number
-        mention_count?: number
-        mention_group_count?: number
-      }
-      privateSegments?: Array<{ displayName?: string; session_id?: string; incoming_count?: number; outgoing_count?: number; message_count?: number; replied?: boolean }>
-      mentionGroups?: Array<{ displayName?: string; session_id?: string; count?: number }>
-    }) => ipcRenderer.invoke('insight:generateFootprintInsight', payload)
-  },
-
-  aiApi: {
-    listConversations: (payload?: { page?: number; pageSize?: number }) =>
-      ipcRenderer.invoke('ai:listConversations', payload),
-    createConversation: (payload?: { title?: string }) =>
-      ipcRenderer.invoke('ai:createConversation', payload),
-    renameConversation: (payload: { conversationId: string; title: string }) =>
-      ipcRenderer.invoke('ai:renameConversation', payload),
-    deleteConversation: (conversationId: string) =>
-      ipcRenderer.invoke('ai:deleteConversation', conversationId),
-    listMessages: (payload: { conversationId: string; limit?: number }) =>
-      ipcRenderer.invoke('ai:listMessages', payload),
-    exportConversation: (payload: { conversationId: string }) =>
-      ipcRenderer.invoke('ai:exportConversation', payload),
-    getToolCatalog: () => ipcRenderer.invoke('ai:getToolCatalog'),
-    executeTool: (payload: { name: string; args?: Record<string, any> }) =>
-      ipcRenderer.invoke('ai:executeTool', payload),
-    cancelToolTest: (payload?: { taskId?: string }) =>
-      ipcRenderer.invoke('ai:cancelToolTest', payload)
-  },
-
-  agentApi: {
-    runStream: (payload: {
-      mode?: 'chat' | 'sql'
-      conversationId?: string
-      userInput: string
-      assistantId?: string
-      activeSkillId?: string
-      chatScope?: 'group' | 'private'
-      sqlContext?: { schemaText?: string; targetHint?: string }
-    }) => ipcRenderer.invoke('agent:runStream', payload),
-    abort: (payload: { runId?: string; conversationId?: string }) =>
-      ipcRenderer.invoke('agent:abort', payload),
-    onStream: (callback: (payload: any) => void) => {
-      const listener = (_: unknown, payload: any) => callback(payload)
-      ipcRenderer.on('agent:stream', listener)
-      return () => ipcRenderer.removeListener('agent:stream', listener)
-    }
-  },
-
-  assistantApi: {
-    getAll: () => ipcRenderer.invoke('assistant:getAll'),
-    getConfig: (id: string) => ipcRenderer.invoke('assistant:getConfig', id),
-    create: (payload: any) => ipcRenderer.invoke('assistant:create', payload),
-    update: (payload: { id: string; updates: any }) => ipcRenderer.invoke('assistant:update', payload),
-    delete: (id: string) => ipcRenderer.invoke('assistant:delete', id),
-    reset: (id: string) => ipcRenderer.invoke('assistant:reset', id),
-    getBuiltinCatalog: () => ipcRenderer.invoke('assistant:getBuiltinCatalog'),
-    getBuiltinToolCatalog: () => ipcRenderer.invoke('assistant:getBuiltinToolCatalog'),
-    importFromMd: (rawMd: string) => ipcRenderer.invoke('assistant:importFromMd', rawMd)
-  },
-
-  skillApi: {
-    getAll: () => ipcRenderer.invoke('skill:getAll'),
-    getConfig: (id: string) => ipcRenderer.invoke('skill:getConfig', id),
-    create: (rawMd: string) => ipcRenderer.invoke('skill:create', rawMd),
-    update: (payload: { id: string; rawMd: string }) => ipcRenderer.invoke('skill:update', payload),
-    delete: (id: string) => ipcRenderer.invoke('skill:delete', id),
-    getBuiltinCatalog: () => ipcRenderer.invoke('skill:getBuiltinCatalog'),
-    importFromMd: (rawMd: string) => ipcRenderer.invoke('skill:importFromMd', rawMd)
-  },
-
-  llmApi: {
-    getConfig: () => ipcRenderer.invoke('llm:getConfig'),
-    setConfig: (payload: { apiBaseUrl?: string; apiKey?: string; model?: string }) =>
-      ipcRenderer.invoke('llm:setConfig', payload),
-    listModels: () => ipcRenderer.invoke('llm:listModels')
-  },
-
-  aiAnalysis: {
-    listConversations: (payload?: { page?: number; pageSize?: number }) =>
-      ipcRenderer.invoke('aiAnalysis:listConversations', payload),
-    createConversation: (payload?: { title?: string }) =>
-      ipcRenderer.invoke('aiAnalysis:createConversation', payload),
-    deleteConversation: (conversationId: string) =>
-      ipcRenderer.invoke('aiAnalysis:deleteConversation', conversationId),
-    listMessages: (payload: { conversationId: string; limit?: number }) =>
-      ipcRenderer.invoke('aiAnalysis:listMessages', payload),
-    sendMessage: (payload: {
-      conversationId: string
-      userInput: string
-      options?: {
-        parentMessageId?: string
-        persistUserMessage?: boolean
-        assistantId?: string
-        activeSkillId?: string
-        chatScope?: 'group' | 'private'
-      }
-    }) => ipcRenderer.invoke('aiAnalysis:sendMessage', payload),
-    retryMessage: (payload: { conversationId: string; userMessageId?: string }) =>
-      ipcRenderer.invoke('aiAnalysis:retryMessage', payload),
-    abortRun: (payload: { runId?: string; conversationId?: string }) =>
-      ipcRenderer.invoke('aiAnalysis:abortRun', payload),
-    onRunEvent: (callback: (payload: {
-      runId: string
-      conversationId: string
-      stage: string
-      ts: number
-      message: string
-      intent?: string
-      round?: number
-      toolName?: string
-      status?: string
-      durationMs?: number
-      data?: Record<string, unknown>
-    }) => void) => {
-      const listener = (_: unknown, payload: any) => callback(payload)
-      ipcRenderer.on('aiAnalysis:runEvent', listener)
-      return () => ipcRenderer.removeListener('aiAnalysis:runEvent', listener)
-    }
+    triggerTest: () => ipcRenderer.invoke('insight:triggerTest')
   }
 })
-
-contextBridge.exposeInMainWorld('aiApi', {
-  listConversations: (payload?: { page?: number; pageSize?: number }) => ipcRenderer.invoke('ai:listConversations', payload),
-  createConversation: (payload?: { title?: string }) => ipcRenderer.invoke('ai:createConversation', payload),
-  renameConversation: (payload: { conversationId: string; title: string }) => ipcRenderer.invoke('ai:renameConversation', payload),
-  deleteConversation: (conversationId: string) => ipcRenderer.invoke('ai:deleteConversation', conversationId),
-  listMessages: (payload: { conversationId: string; limit?: number }) => ipcRenderer.invoke('ai:listMessages', payload),
-  exportConversation: (payload: { conversationId: string }) => ipcRenderer.invoke('ai:exportConversation', payload),
-  getToolCatalog: () => ipcRenderer.invoke('ai:getToolCatalog'),
-  executeTool: (payload: { name: string; args?: Record<string, any> }) => ipcRenderer.invoke('ai:executeTool', payload),
-  cancelToolTest: (payload?: { taskId?: string }) => ipcRenderer.invoke('ai:cancelToolTest', payload)
-})
-
-contextBridge.exposeInMainWorld('agentApi', {
-  runStream: (payload: {
-    mode?: 'chat' | 'sql'
-    conversationId?: string
-    userInput: string
-    assistantId?: string
-    activeSkillId?: string
-    chatScope?: 'group' | 'private'
-    sqlContext?: { schemaText?: string; targetHint?: string }
-  }) => ipcRenderer.invoke('agent:runStream', payload),
-  abort: (payload: { runId?: string; conversationId?: string }) => ipcRenderer.invoke('agent:abort', payload),
-  onStream: (callback: (payload: any) => void) => {
-    const listener = (_: unknown, payload: any) => callback(payload)
-    ipcRenderer.on('agent:stream', listener)
-    return () => ipcRenderer.removeListener('agent:stream', listener)
-  }
-})
-
-contextBridge.exposeInMainWorld('assistantApi', {
-  getAll: () => ipcRenderer.invoke('assistant:getAll'),
-  getConfig: (id: string) => ipcRenderer.invoke('assistant:getConfig', id),
-  create: (payload: any) => ipcRenderer.invoke('assistant:create', payload),
-  update: (payload: { id: string; updates: any }) => ipcRenderer.invoke('assistant:update', payload),
-  delete: (id: string) => ipcRenderer.invoke('assistant:delete', id),
-  reset: (id: string) => ipcRenderer.invoke('assistant:reset', id),
-  getBuiltinCatalog: () => ipcRenderer.invoke('assistant:getBuiltinCatalog'),
-  getBuiltinToolCatalog: () => ipcRenderer.invoke('assistant:getBuiltinToolCatalog'),
-  importFromMd: (rawMd: string) => ipcRenderer.invoke('assistant:importFromMd', rawMd)
-})
-
-contextBridge.exposeInMainWorld('skillApi', {
-  getAll: () => ipcRenderer.invoke('skill:getAll'),
-  getConfig: (id: string) => ipcRenderer.invoke('skill:getConfig', id),
-  create: (rawMd: string) => ipcRenderer.invoke('skill:create', rawMd),
-  update: (payload: { id: string; rawMd: string }) => ipcRenderer.invoke('skill:update', payload),
-  delete: (id: string) => ipcRenderer.invoke('skill:delete', id),
-  getBuiltinCatalog: () => ipcRenderer.invoke('skill:getBuiltinCatalog'),
-  importFromMd: (rawMd: string) => ipcRenderer.invoke('skill:importFromMd', rawMd)
-})
-
-contextBridge.exposeInMainWorld('llmApi', {
-  getConfig: () => ipcRenderer.invoke('llm:getConfig'),
-  setConfig: (payload: { apiBaseUrl?: string; apiKey?: string; model?: string }) => ipcRenderer.invoke('llm:setConfig', payload),
-  listModels: () => ipcRenderer.invoke('llm:listModels')
-})

electron/services/aiAgentService.ts

@@ -1,450 +0,0 @@
-import http from 'http'
-import https from 'https'
-import { randomUUID } from 'crypto'
-import { URL } from 'url'
-import { ConfigService } from './config'
-import { aiAnalysisService, type AiAnalysisRunEvent } from './aiAnalysisService'
-
-export interface TokenUsage {
-  promptTokens?: number
-  completionTokens?: number
-  totalTokens?: number
-}
-
-export interface AgentRuntimeStatus {
-  phase: 'idle' | 'thinking' | 'tool_running' | 'responding' | 'completed' | 'error' | 'aborted'
-  round?: number
-  currentTool?: string
-  toolsUsed?: number
-  updatedAt: number
-  totalUsage?: TokenUsage
-}
-
-export interface AgentStreamChunk {
-  runId: string
-  conversationId?: string
-  type: 'content' | 'think' | 'tool_start' | 'tool_result' | 'status' | 'done' | 'error'
-  content?: string
-  thinkTag?: string
-  thinkDurationMs?: number
-  toolName?: string
-  toolParams?: Record<string, unknown>
-  toolResult?: unknown
-  error?: string
-  isFinished?: boolean
-  usage?: TokenUsage
-  status?: AgentRuntimeStatus
-}
-
-export interface AgentRunPayload {
-  mode?: 'chat' | 'sql'
-  conversationId?: string
-  userInput: string
-  assistantId?: string
-  activeSkillId?: string
-  chatScope?: 'group' | 'private'
-  sqlContext?: {
-    schemaText?: string
-    targetHint?: string
-  }
-}
-
-interface ActiveAgentRun {
-  runId: string
-  mode: 'chat' | 'sql'
-  conversationId?: string
-  innerRunId?: string
-  aborted: boolean
-}
-
-function normalizeText(value: unknown, fallback = ''): string {
-  const text = String(value ?? '').trim()
-  return text || fallback
-}
-
-function buildApiUrl(baseUrl: string, path: string): string {
-  const base = baseUrl.replace(/\/+$/, '')
-  const suffix = path.startsWith('/') ? path : `/${path}`
-  return `${base}${suffix}`
-}
-
-function extractSqlText(raw: string): string {
-  const text = normalizeText(raw)
-  if (!text) return ''
-  const fenced = text.match(/```(?:sql)?\s*([\s\S]*?)```/i)
-  if (fenced?.[1]) return fenced[1].trim()
-  return text
-}
-
-class AiAgentService {
-  private readonly config = ConfigService.getInstance()
-  private readonly runs = new Map<string, ActiveAgentRun>()
-
-  private getSharedModelConfig(): { apiBaseUrl: string; apiKey: string; model: string } {
-    return {
-      apiBaseUrl: normalizeText(this.config.get('aiModelApiBaseUrl')),
-      apiKey: normalizeText(this.config.get('aiModelApiKey')),
-      model: normalizeText(this.config.get('aiModelApiModel'), 'gpt-4o-mini')
-    }
-  }
-
-  private emitStatus(
-    run: ActiveAgentRun,
-    onChunk: (chunk: AgentStreamChunk) => void,
-    phase: AgentRuntimeStatus['phase'],
-    extra?: Partial<AgentRuntimeStatus>
-  ): void {
-    onChunk({
-      runId: run.runId,
-      conversationId: run.conversationId,
-      type: 'status',
-      status: {
-        phase,
-        updatedAt: Date.now(),
-        ...extra
-      }
-    })
-  }
-
-  private mapRunEventToChunk(
-    run: ActiveAgentRun,
-    event: AiAnalysisRunEvent
-  ): AgentStreamChunk | null {
-    run.innerRunId = event.runId
-    run.conversationId = event.conversationId || run.conversationId
-    if (event.stage === 'llm_round_started') {
-      return {
-        runId: run.runId,
-        conversationId: run.conversationId,
-        type: 'think',
-        content: event.message,
-        thinkTag: 'round'
-      }
-    }
-    if (event.stage === 'tool_start') {
-      return {
-        runId: run.runId,
-        conversationId: run.conversationId,
-        type: 'tool_start',
-        toolName: event.toolName,
-        toolParams: (event.data || {}) as Record<string, unknown>
-      }
-    }
-    if (event.stage === 'tool_done' || event.stage === 'tool_error') {
-      return {
-        runId: run.runId,
-        conversationId: run.conversationId,
-        type: 'tool_result',
-        toolName: event.toolName,
-        toolResult: event.data || { status: event.status, durationMs: event.durationMs }
-      }
-    }
-    if (event.stage === 'completed') {
-      return {
-        runId: run.runId,
-        conversationId: run.conversationId,
-        type: 'status',
-        status: { phase: 'completed', updatedAt: Date.now() }
-      }
-    }
-    if (event.stage === 'aborted') {
-      return {
-        runId: run.runId,
-        conversationId: run.conversationId,
-        type: 'status',
-        status: { phase: 'aborted', updatedAt: Date.now() }
-      }
-    }
-    if (event.stage === 'error') {
-      return {
-        runId: run.runId,
-        conversationId: run.conversationId,
-        type: 'status',
-        status: { phase: 'error', updatedAt: Date.now() }
-      }
-    }
-    return null
-  }
-
-  private async callModel(payload: any, apiBaseUrl: string, apiKey: string): Promise<any> {
-    const endpoint = buildApiUrl(apiBaseUrl, '/chat/completions')
-    const body = JSON.stringify(payload)
-    const urlObj = new URL(endpoint)
-    return new Promise((resolve, reject) => {
-      const requestFn = urlObj.protocol === 'https:' ? https.request : http.request
-      const req = requestFn({
-        hostname: urlObj.hostname,
-        port: urlObj.port || (urlObj.protocol === 'https:' ? 443 : 80),
-        path: urlObj.pathname + urlObj.search,
-        method: 'POST',
-        headers: {
-          'Content-Type': 'application/json',
-          'Content-Length': Buffer.byteLength(body).toString(),
-          Authorization: `Bearer ${apiKey}`
-        }
-      }, (res) => {
-        let data = ''
-        res.on('data', (chunk) => { data += String(chunk) })
-        res.on('end', () => {
-          try {
-            resolve(JSON.parse(data || '{}'))
-          } catch (error) {
-            reject(new Error(`AI 响应解析失败: ${String(error)}`))
-          }
-        })
-      })
-      req.setTimeout(45_000, () => {
-        req.destroy()
-        reject(new Error('AI 请求超时'))
-      })
-      req.on('error', reject)
-      req.write(body)
-      req.end()
-    })
-  }
-
-  async runStream(
-    payload: AgentRunPayload,
-    runtime: {
-      onChunk: (chunk: AgentStreamChunk) => void
-      onFinished?: (result: { success: boolean; runId: string; conversationId?: string; error?: string }) => void
-    }
-  ): Promise<{ success: boolean; runId: string }> {
-    const runId = randomUUID()
-    const mode = payload.mode === 'sql' ? 'sql' : 'chat'
-    const run: ActiveAgentRun = {
-      runId,
-      mode,
-      conversationId: normalizeText(payload.conversationId) || undefined,
-      aborted: false
-    }
-    this.runs.set(runId, run)
-
-    this.execute(run, payload, runtime).catch((error) => {
-      runtime.onChunk({
-        runId,
-        conversationId: run.conversationId,
-        type: 'error',
-        error: String((error as Error)?.message || error),
-        isFinished: true
-      })
-      runtime.onFinished?.({
-        success: false,
-        runId,
-        conversationId: run.conversationId,
-        error: String((error as Error)?.message || error)
-      })
-      this.runs.delete(runId)
-    })
-
-    return { success: true, runId }
-  }
-
-  private async execute(
-    run: ActiveAgentRun,
-    payload: AgentRunPayload,
-    runtime: {
-      onChunk: (chunk: AgentStreamChunk) => void
-      onFinished?: (result: { success: boolean; runId: string; conversationId?: string; error?: string }) => void
-    }
-  ): Promise<void> {
-    if (run.mode === 'sql') {
-      await this.executeSqlMode(run, payload, runtime)
-      return
-    }
-    this.emitStatus(run, runtime.onChunk, 'thinking')
-    const result = await aiAnalysisService.sendMessage(
-      normalizeText(payload.conversationId),
-      normalizeText(payload.userInput),
-      {
-        assistantId: normalizeText(payload.assistantId),
-        activeSkillId: normalizeText(payload.activeSkillId),
-        chatScope: payload.chatScope === 'group' ? 'group' : 'private'
-      },
-      {
-        onRunEvent: (event) => {
-          const mapped = this.mapRunEventToChunk(run, event)
-          if (mapped) runtime.onChunk(mapped)
-        }
-      }
-    )
-    if (run.aborted) {
-      runtime.onChunk({
-        runId: run.runId,
-        conversationId: run.conversationId,
-        type: 'error',
-        error: '任务已取消',
-        isFinished: true
-      })
-      runtime.onFinished?.({
-        success: false,
-        runId: run.runId,
-        conversationId: run.conversationId,
-        error: '任务已取消'
-      })
-      this.runs.delete(run.runId)
-      return
-    }
-    if (!result.success || !result.result) {
-      runtime.onChunk({
-        runId: run.runId,
-        conversationId: run.conversationId,
-        type: 'error',
-        error: result.error || '执行失败',
-        isFinished: true
-      })
-      runtime.onFinished?.({
-        success: false,
-        runId: run.runId,
-        conversationId: run.conversationId,
-        error: result.error || '执行失败'
-      })
-      this.runs.delete(run.runId)
-      return
-    }
-
-    run.conversationId = result.result.conversationId || run.conversationId
-    runtime.onChunk({
-      runId: run.runId,
-      conversationId: run.conversationId,
-      type: 'content',
-      content: result.result.assistantText
-    })
-    runtime.onChunk({
-      runId: run.runId,
-      conversationId: run.conversationId,
-      type: 'done',
-      usage: result.result.usage,
-      isFinished: true
-    })
-    runtime.onFinished?.({ success: true, runId: run.runId, conversationId: run.conversationId })
-    this.runs.delete(run.runId)
-  }
-
-  private async executeSqlMode(
-    run: ActiveAgentRun,
-    payload: AgentRunPayload,
-    runtime: {
-      onChunk: (chunk: AgentStreamChunk) => void
-      onFinished?: (result: { success: boolean; runId: string; conversationId?: string; error?: string }) => void
-    }
-  ): Promise<void> {
-    const { apiBaseUrl, apiKey, model } = this.getSharedModelConfig()
-    if (!apiBaseUrl || !apiKey) {
-      runtime.onChunk({
-        runId: run.runId,
-        conversationId: run.conversationId,
-        type: 'error',
-        error: '请先在设置 > AI 通用中配置模型',
-        isFinished: true
-      })
-      runtime.onFinished?.({ success: false, runId: run.runId, conversationId: run.conversationId, error: '模型未配置' })
-      this.runs.delete(run.runId)
-      return
-    }
-    this.emitStatus(run, runtime.onChunk, 'thinking')
-    const schemaText = normalizeText(payload.sqlContext?.schemaText)
-    const targetHint = normalizeText(payload.sqlContext?.targetHint)
-    const systemPrompt = [
-      '你是 WeFlow SQL Lab 助手。',
-      '只输出一段只读 SQL。',
-      '禁止输出解释、Markdown、注释、DML、DDL。'
-    ].join('\n')
-    const userPrompt = [
-      targetHint ? `目标数据源: ${targetHint}` : '',
-      schemaText ? `可用 Schema:\n${schemaText}` : '',
-      `需求: ${normalizeText(payload.userInput)}`
-    ].filter(Boolean).join('\n\n')
-
-    const res = await this.callModel({
-      model,
-      messages: [
-        { role: 'system', content: systemPrompt },
-        { role: 'user', content: userPrompt }
-      ],
-      temperature: 0.1,
-      stream: false
-    }, apiBaseUrl, apiKey)
-
-    if (run.aborted) {
-      runtime.onChunk({
-        runId: run.runId,
-        conversationId: run.conversationId,
-        type: 'error',
-        error: '任务已取消',
-        isFinished: true
-      })
-      runtime.onFinished?.({ success: false, runId: run.runId, conversationId: run.conversationId, error: '任务已取消' })
-      this.runs.delete(run.runId)
-      return
-    }
-
-    const rawContent = normalizeText(res?.choices?.[0]?.message?.content)
-    const sql = extractSqlText(rawContent)
-    const usage: TokenUsage = {
-      promptTokens: Number(res?.usage?.prompt_tokens || 0),
-      completionTokens: Number(res?.usage?.completion_tokens || 0),
-      totalTokens: Number(res?.usage?.total_tokens || 0)
-    }
-    if (!sql) {
-      runtime.onChunk({
-        runId: run.runId,
-        conversationId: run.conversationId,
-        type: 'error',
-        error: 'SQL 生成失败',
-        isFinished: true
-      })
-      runtime.onFinished?.({ success: false, runId: run.runId, conversationId: run.conversationId, error: 'SQL 生成失败' })
-      this.runs.delete(run.runId)
-      return
-    }
-    for (let i = 0; i < sql.length; i += 36) {
-      if (run.aborted) break
-      runtime.onChunk({
-        runId: run.runId,
-        conversationId: run.conversationId,
-        type: 'content',
-        content: sql.slice(i, i + 36)
-      })
-    }
-    runtime.onChunk({
-      runId: run.runId,
-      conversationId: run.conversationId,
-      type: 'done',
-      usage,
-      isFinished: true
-    })
-    runtime.onFinished?.({ success: true, runId: run.runId, conversationId: run.conversationId })
-    this.runs.delete(run.runId)
-  }
-
-  async abort(payload: { runId?: string; conversationId?: string }): Promise<{ success: boolean }> {
-    const runId = normalizeText(payload.runId)
-    const conversationId = normalizeText(payload.conversationId)
-    if (runId) {
-      const run = this.runs.get(runId)
-      if (run) {
-        run.aborted = true
-        if (run.mode === 'chat') {
-          await aiAnalysisService.abortRun({ runId: run.innerRunId, conversationId: run.conversationId })
-        }
-      }
-      return { success: true }
-    }
-
-    if (conversationId) {
-      for (const run of this.runs.values()) {
-        if (run.conversationId !== conversationId) continue
-        run.aborted = true
-        if (run.mode === 'chat') {
-          await aiAnalysisService.abortRun({ runId: run.innerRunId, conversationId: run.conversationId })
-        }
-      }
-      return { success: true }
-    }
-    return { success: true }
-  }
-}
-
-export const aiAgentService = new AiAgentService()
-

electron/services/aiAnalysisSkills/base.md

@@ -1,30 +0,0 @@
-你是 WeFlow 的 AI 分析助手。
-
-目标：
-- 精准完成用户在聊天数据上的查询、总结、分析、回忆任务。
-- 优先使用本地工具获取证据，禁止猜测或捏造。
-- 默认输出简洁中文，先给结论，再给关键依据。
-
-工作原则：
-- Token 节约优先：默认只请求必要字段，只有用户明确需要或证据不足时再升级 detailLevel。
-- 先范围后细节：优先定位会话/时间范围，再拉取具体时间轴或消息。
-- 可解释性：最终结论尽量附带来源范围与统计口径。
-- 语音消息不能臆测：必须先拿语音 ID，再点名转写，再总结。
-- 联系人排行题（“谁聊得最多/最常联系”）命中 ai_query_top_contacts 后，必须直接给出“前N名+消息数”。
-- 除非用户明确要求，联系人排行默认不包含群聊和公众号。
-- 用户提到“最近/近期/lately/recent”但未给时间窗时，默认按近30天口径统计并写明口径。
-- 用户提到联系人简称（如“lr”）时，先把它当联系人缩写处理，优先命中个人会话，不要默认落到群聊。
-- 用户问“我和X聊了什么”时必须交付“主题总结”，不要贴原始逐条聊天流水。
-
-Agent执行要求：
-- 用户输入直接进入推理，本地不做关键词分流，你自主决定工具计划。
-- 当用户说“今天凌晨/昨晚/某段时间的聊天”，优先调用 ai_query_time_window_activity。
-- 拿到活跃会话后，调用 ai_query_session_glimpse 对多个会话逐个抽样阅读，不要只读一个会话就停止。
-- 如果初步探索后用户目标仍模糊，主动提出 1 个关键澄清问题继续多轮对话。
-- 仅当你确认任务完成时，输出结束标记 `[[WF_DONE]]`，并紧跟 `<final_answer>...</final_answer>`。
-- 若还未完成，不要输出结束标记，继续调用工具。
-
-语音处理硬规则：
-- 当用户涉及“语音内容”时，先调用 ai_list_voice_messages。
-- 让系统返回候选 ID 后，再调用 ai_transcribe_voice_messages 指定 ID。
-- 未转写成功的语音不可作为事实依据。

electron/services/aiAnalysisSkills/context_compression.md

@@ -1,6 +0,0 @@
-你会收到 conversation_summary（历史压缩摘要）。
-
-使用方式：
-- 默认把摘要作为历史背景，不逐字复述。
-- 若摘要与最近消息冲突，以最近消息为准。
-- 若用户追问很久之前的细节，优先重新调用工具检索，不依赖旧记忆。

electron/services/aiAnalysisSkills/tool_message_briefs.md

@@ -1,8 +0,0 @@
-工具：ai_fetch_message_briefs
-
-何时用：
-- 需要核对少量关键消息原文，避免全量展开。
-
-调用建议：
-- 只传必要 items（sessionId + localId），每次少量（<=20）。
-- 默认 minimal；需要上下文再用 standard/full。

electron/services/aiAnalysisSkills/tool_session_candidates.md

@@ -1,9 +0,0 @@
-工具：ai_query_session_candidates
-
-何时用：
-- 用户未明确具体会话，但给了关键词/关系词（如“老婆”“买车”）。
-
-调用建议：
-- 首次调用 detailLevel=minimal。
-- 默认 limit 8~12，避免拉太多候选。
-- 当候选歧义较大时再升级 detailLevel=standard/full。

electron/services/aiAnalysisSkills/tool_session_glimpse.md

@@ -1,9 +0,0 @@
-工具：ai_query_session_glimpse
-
-何时用：
-- 已确定候选会话，需要“先看一点”理解上下文。
-
-Agent策略：
-- 每个候选会话先抽样 6~20 条，按时间顺序阅读。
-- 不要只读一个会话就结束；优先覆盖多会话后再总结。
-- 如果出现明显分歧场景（工作/家庭/感情）需主动向用户确认分析目标。

electron/services/aiAnalysisSkills/tool_source_refs.md

@@ -1,8 +0,0 @@
-工具：ai_query_source_refs
-
-何时用：
-- 输出总结或分析后，用于来源说明与可解释卡片。
-
-调用建议：
-- 默认 minimal 即可，输出 range/session_count/message_count/db_refs。
-- 只有排错或审计时再请求 full。

electron/services/aiAnalysisSkills/tool_time_window_activity.md

@@ -1,9 +0,0 @@
-工具：ai_query_time_window_activity
-
-何时用：
-- 用户提到“今天凌晨/昨晚/某个时间段”的聊天分析。
-
-Agent策略：
-- 第一步必须先扫时间窗活跃会话，不要直接下结论。
-- 拿到活跃会话后，再调用 ai_query_session_glimpse 逐个会话抽样阅读。
-- 若用户目标仍不清晰，先追问 1 个关键澄清问题再继续。

electron/services/aiAnalysisSkills/tool_timeline.md

@@ -1,9 +0,0 @@
-工具：ai_query_timeline
-
-何时用：
-- 回忆事件经过、梳理时间线、提取关键节点。
-
-调用建议：
-- 默认 detailLevel=minimal。
-- 先小批次 limit（40~120），不够再分页 offset。
-- 需要引用原文证据时，可搭配 ai_fetch_message_briefs。

electron/services/aiAnalysisSkills/tool_top_contacts.md

@@ -1,9 +0,0 @@
-工具：ai_query_top_contacts
-
-何时用：
-- 用户问“谁联系最密切”“谁聊得最多”“最常联系的是谁”。
-
-调用建议：
-- 该问题优先调用本工具，而不是先跑时间轴。
-- 默认 detailLevel=minimal，limit 5~10。
-- 需要区分群聊时再设置 includeGroups=true。

electron/services/aiAnalysisSkills/tool_topic_stats.md

@@ -1,8 +0,0 @@
-工具：ai_query_topic_stats
-
-何时用：
-- 用户问“多少、占比、趋势、对比”。
-
-调用建议：
-- 仅在统计问题时调用，避免无谓聚合。
-- 默认 detailLevel=minimal；有统计追问再升到 standard/full。

electron/services/aiAnalysisSkills/tool_voice_list.md

@@ -1,8 +0,0 @@
-工具：ai_list_voice_messages
-
-何时用：
-- 用户提到“语音里说了什么”。
-
-调用建议：
-- 第一步先拿 ID 清单，默认 detailLevel=minimal（仅 IDs）。
-- 如用户需要挑选依据，再用 standard/full 查看更多元数据。

electron/services/aiAnalysisSkills/tool_voice_transcribe.md

@@ -1,9 +0,0 @@
-工具：ai_transcribe_voice_messages
-
-何时用：
-- 已明确拿到语音 ID，且用户需要读取语音内容。
-
-调用建议：
-- 必须显式传 ids 或 items。
-- 单次控制在小批次（建议 <=5），失败可重试。
-- 转写成功后再参与总结；失败项单独标注，不混入结论。

electron/services/aiAssistantService.ts

@@ -1,444 +0,0 @@
-import { randomUUID } from 'crypto'
-import { existsSync } from 'fs'
-import { mkdir, readdir, readFile, rm, writeFile } from 'fs/promises'
-import { join } from 'path'
-import { ConfigService } from './config'
-
-export type AssistantChatType = 'group' | 'private'
-export type AssistantToolCategory = 'core' | 'analysis'
-
-export interface AssistantSummary {
-  id: string
-  name: string
-  systemPrompt: string
-  presetQuestions: string[]
-  allowedBuiltinTools?: string[]
-  builtinId?: string
-  applicableChatTypes?: AssistantChatType[]
-  supportedLocales?: string[]
-}
-
-export interface AssistantConfigFull extends AssistantSummary {}
-
-export interface BuiltinAssistantInfo {
-  id: string
-  name: string
-  systemPrompt: string
-  applicableChatTypes?: AssistantChatType[]
-  supportedLocales?: string[]
-  imported: boolean
-}
-
-const GENERAL_CN_MD = `---
-id: general_cn
-name: 通用分析助手
-supportedLocales:
-  - zh
-presetQuestions:
-  - 最近都在聊什么？
-  - 谁是最活跃的人？
-  - 帮我总结一下最近一周的重要聊天
-  - 帮我找一下关于“旅游”的讨论
-allowedBuiltinTools:
-  - ai_query_time_window_activity
-  - ai_query_session_candidates
-  - ai_query_session_glimpse
-  - ai_query_timeline
-  - ai_fetch_message_briefs
-  - ai_list_voice_messages
-  - ai_transcribe_voice_messages
-  - ai_query_topic_stats
-  - ai_query_source_refs
-  - ai_query_top_contacts
----
-
-你是 WeFlow 的全局聊天分析助手。请使用工具获取证据，给出简洁、准确、可执行的结论。
-
-输出要求：
-1. 先结论，再证据。
-2. 若证据不足，明确说明不足并建议下一步。
-3. 涉及语音内容时，必须先列语音 ID，再按 ID 转写。
-4. 默认中文输出，除非用户明确指定其他语言。`
-
-const GENERAL_EN_MD = `---
-id: general_en
-name: General Analysis Assistant
-supportedLocales:
-  - en
-presetQuestions:
-  - What have people been discussing recently?
-  - Who are the most active contacts?
-  - Summarize my key chat topics this week
-allowedBuiltinTools:
-  - ai_query_time_window_activity
-  - ai_query_session_candidates
-  - ai_query_session_glimpse
-  - ai_query_timeline
-  - ai_fetch_message_briefs
-  - ai_list_voice_messages
-  - ai_transcribe_voice_messages
-  - ai_query_topic_stats
-  - ai_query_source_refs
-  - ai_query_top_contacts
----
-
-You are WeFlow's global chat analysis assistant.
-Always ground your answers in tool evidence, stay concise, and clearly call out uncertainty when data is insufficient.`
-
-const GENERAL_JA_MD = `---
-id: general_ja
-name: 汎用分析アシスタント
-supportedLocales:
-  - ja
-presetQuestions:
-  - 最近どんな話題が多い？
-  - 一番アクティブな相手は誰？
-  - 今週の重要な会話を要約して
-allowedBuiltinTools:
-  - ai_query_time_window_activity
-  - ai_query_session_candidates
-  - ai_query_session_glimpse
-  - ai_query_timeline
-  - ai_fetch_message_briefs
-  - ai_list_voice_messages
-  - ai_transcribe_voice_messages
-  - ai_query_topic_stats
-  - ai_query_source_refs
-  - ai_query_top_contacts
----
-
-あなたは WeFlow のグローバルチャット分析アシスタントです。
-ツールから得た根拠に基づき、簡潔かつ正確に回答してください。`
-
-const BUILTIN_ASSISTANTS = [
-  { id: 'general_cn', raw: GENERAL_CN_MD },
-  { id: 'general_en', raw: GENERAL_EN_MD },
-  { id: 'general_ja', raw: GENERAL_JA_MD }
-] as const
-
-function normalizeText(value: unknown, fallback = ''): string {
-  const text = String(value ?? '').trim()
-  return text || fallback
-}
-
-function parseInlineList(text: string): string[] {
-  const raw = normalizeText(text)
-  if (!raw) return []
-  return raw
-    .split(',')
-    .map((item) => item.trim())
-    .filter(Boolean)
-}
-
-function splitFrontmatter(raw: string): { frontmatter: string; body: string } {
-  const normalized = String(raw || '')
-  if (!normalized.startsWith('---')) {
-    return { frontmatter: '', body: normalized.trim() }
-  }
-  const end = normalized.indexOf('\n---', 3)
-  if (end < 0) return { frontmatter: '', body: normalized.trim() }
-  return {
-    frontmatter: normalized.slice(3, end).trim(),
-    body: normalized.slice(end + 4).trim()
-  }
-}
-
-function parseAssistantMarkdown(raw: string): AssistantConfigFull {
-  const { frontmatter, body } = splitFrontmatter(raw)
-  const lines = frontmatter ? frontmatter.split('\n') : []
-  const data: Record<string, unknown> = {}
-  let currentArrayKey = ''
-  for (const line of lines) {
-    const trimmed = line.trim()
-    if (!trimmed) continue
-    const kv = trimmed.match(/^([A-Za-z0-9_]+)\s*:\s*(.*)$/)
-    if (kv) {
-      const key = kv[1]
-      const value = kv[2]
-      if (!value) {
-        data[key] = []
-        currentArrayKey = key
-      } else {
-        data[key] = value
-        currentArrayKey = ''
-      }
-      continue
-    }
-    const arr = trimmed.match(/^- (.+)$/)
-    if (arr && currentArrayKey) {
-      const next = Array.isArray(data[currentArrayKey]) ? data[currentArrayKey] as string[] : []
-      next.push(arr[1].trim())
-      data[currentArrayKey] = next
-    }
-  }
-
-  const id = normalizeText(data.id)
-  const name = normalizeText(data.name, id || 'assistant')
-  const applicableChatTypes = Array.isArray(data.applicableChatTypes)
-    ? (data.applicableChatTypes as string[]).filter((item): item is AssistantChatType => item === 'group' || item === 'private')
-    : parseInlineList(String(data.applicableChatTypes || '')).filter((item): item is AssistantChatType => item === 'group' || item === 'private')
-  const supportedLocales = Array.isArray(data.supportedLocales)
-    ? (data.supportedLocales as string[]).map((item) => item.trim()).filter(Boolean)
-    : parseInlineList(String(data.supportedLocales || ''))
-  const presetQuestions = Array.isArray(data.presetQuestions)
-    ? (data.presetQuestions as string[]).map((item) => item.trim()).filter(Boolean)
-    : parseInlineList(String(data.presetQuestions || ''))
-  const allowedBuiltinTools = Array.isArray(data.allowedBuiltinTools)
-    ? (data.allowedBuiltinTools as string[]).map((item) => item.trim()).filter(Boolean)
-    : parseInlineList(String(data.allowedBuiltinTools || ''))
-  const builtinId = normalizeText(data.builtinId)
-
-  return {
-    id,
-    name,
-    systemPrompt: body,
-    presetQuestions,
-    allowedBuiltinTools,
-    builtinId: builtinId || undefined,
-    applicableChatTypes,
-    supportedLocales
-  }
-}
-
-function toMarkdown(config: AssistantConfigFull): string {
-  const lines = [
-    '---',
-    `id: ${config.id}`,
-    `name: ${config.name}`
-  ]
-  if (config.builtinId) lines.push(`builtinId: ${config.builtinId}`)
-  if (config.supportedLocales && config.supportedLocales.length > 0) {
-    lines.push('supportedLocales:')
-    config.supportedLocales.forEach((item) => lines.push(`  - ${item}`))
-  }
-  if (config.applicableChatTypes && config.applicableChatTypes.length > 0) {
-    lines.push('applicableChatTypes:')
-    config.applicableChatTypes.forEach((item) => lines.push(`  - ${item}`))
-  }
-  if (config.presetQuestions && config.presetQuestions.length > 0) {
-    lines.push('presetQuestions:')
-    config.presetQuestions.forEach((item) => lines.push(`  - ${item}`))
-  }
-  if (config.allowedBuiltinTools && config.allowedBuiltinTools.length > 0) {
-    lines.push('allowedBuiltinTools:')
-    config.allowedBuiltinTools.forEach((item) => lines.push(`  - ${item}`))
-  }
-  lines.push('---')
-  lines.push('')
-  lines.push(config.systemPrompt || '')
-  return lines.join('\n')
-}
-
-function defaultBuiltinToolCatalog(): Array<{ name: string; category: AssistantToolCategory }> {
-  return [
-    { name: 'ai_query_time_window_activity', category: 'core' },
-    { name: 'ai_query_session_candidates', category: 'core' },
-    { name: 'ai_query_session_glimpse', category: 'core' },
-    { name: 'ai_query_timeline', category: 'core' },
-    { name: 'ai_fetch_message_briefs', category: 'core' },
-    { name: 'ai_list_voice_messages', category: 'core' },
-    { name: 'ai_transcribe_voice_messages', category: 'core' },
-    { name: 'ai_query_topic_stats', category: 'analysis' },
-    { name: 'ai_query_source_refs', category: 'analysis' },
-    { name: 'ai_query_top_contacts', category: 'analysis' },
-    { name: 'activate_skill', category: 'analysis' }
-  ]
-}
-
-class AiAssistantService {
-  private readonly config = ConfigService.getInstance()
-  private initialized = false
-  private readonly cache = new Map<string, AssistantConfigFull>()
-
-  private getRootDirCandidates(): string[] {
-    const dbPath = normalizeText(this.config.get('dbPath'))
-    const wxid = normalizeText(this.config.get('myWxid'))
-    const roots: string[] = []
-    if (dbPath && wxid) {
-      roots.push(join(dbPath, wxid, 'db_storage', 'wf_ai_v2'))
-      roots.push(join(dbPath, wxid, 'db_storage', 'wf_ai'))
-    }
-    roots.push(join(process.cwd(), 'data', 'wf_ai_v2'))
-    return roots
-  }
-
-  private async getRootDir(): Promise<string> {
-    const roots = this.getRootDirCandidates()
-    const dir = roots[0]
-    await mkdir(dir, { recursive: true })
-    return dir
-  }
-
-  private async getAssistantsDir(): Promise<string> {
-    const root = await this.getRootDir()
-    const dir = join(root, 'assistants')
-    await mkdir(dir, { recursive: true })
-    return dir
-  }
-
-  private async ensureInitialized(): Promise<void> {
-    if (this.initialized) return
-    const dir = await this.getAssistantsDir()
-
-    for (const builtin of BUILTIN_ASSISTANTS) {
-      const filePath = join(dir, `${builtin.id}.md`)
-      if (!existsSync(filePath)) {
-        const parsed = parseAssistantMarkdown(builtin.raw)
-        const config: AssistantConfigFull = {
-          ...parsed,
-          builtinId: parsed.id
-        }
-        await writeFile(filePath, toMarkdown(config), 'utf8')
-      }
-    }
-
-    this.cache.clear()
-    const files = await readdir(dir)
-    for (const fileName of files) {
-      if (!fileName.endsWith('.md')) continue
-      const filePath = join(dir, fileName)
-      try {
-        const raw = await readFile(filePath, 'utf8')
-        const parsed = parseAssistantMarkdown(raw)
-        if (!parsed.id) continue
-        this.cache.set(parsed.id, parsed)
-      } catch {
-        // ignore broken file
-      }
-    }
-    this.initialized = true
-  }
-
-  async getAll(): Promise<AssistantSummary[]> {
-    await this.ensureInitialized()
-    return Array.from(this.cache.values())
-      .sort((a, b) => a.name.localeCompare(b.name, 'zh-Hans-CN'))
-      .map((assistant) => ({ ...assistant }))
-  }
-
-  async getConfig(id: string): Promise<AssistantConfigFull | null> {
-    await this.ensureInitialized()
-    const key = normalizeText(id)
-    const config = this.cache.get(key)
-    return config ? { ...config } : null
-  }
-
-  async create(
-    payload: Omit<AssistantConfigFull, 'id'> & { id?: string }
-  ): Promise<{ success: boolean; id?: string; error?: string }> {
-    await this.ensureInitialized()
-    const id = normalizeText(payload.id, `custom_${randomUUID().replace(/-/g, '').slice(0, 12)}`)
-    if (this.cache.has(id)) return { success: false, error: '助手 ID 已存在' }
-    const config: AssistantConfigFull = {
-      id,
-      name: normalizeText(payload.name, '新助手'),
-      systemPrompt: normalizeText(payload.systemPrompt),
-      presetQuestions: Array.isArray(payload.presetQuestions) ? payload.presetQuestions.map((item) => normalizeText(item)).filter(Boolean) : [],
-      allowedBuiltinTools: Array.isArray(payload.allowedBuiltinTools) ? payload.allowedBuiltinTools.map((item) => normalizeText(item)).filter(Boolean) : [],
-      builtinId: normalizeText(payload.builtinId) || undefined,
-      applicableChatTypes: Array.isArray(payload.applicableChatTypes) ? payload.applicableChatTypes : [],
-      supportedLocales: Array.isArray(payload.supportedLocales) ? payload.supportedLocales.map((item) => normalizeText(item)).filter(Boolean) : []
-    }
-    const dir = await this.getAssistantsDir()
-    await writeFile(join(dir, `${id}.md`), toMarkdown(config), 'utf8')
-    this.cache.set(id, config)
-    return { success: true, id }
-  }
-
-  async update(
-    id: string,
-    updates: Partial<AssistantConfigFull>
-  ): Promise<{ success: boolean; error?: string }> {
-    await this.ensureInitialized()
-    const key = normalizeText(id)
-    const existing = this.cache.get(key)
-    if (!existing) return { success: false, error: '助手不存在' }
-    const next: AssistantConfigFull = {
-      ...existing,
-      ...updates,
-      id: key,
-      name: normalizeText(updates.name, existing.name),
-      systemPrompt: updates.systemPrompt == null ? existing.systemPrompt : normalizeText(updates.systemPrompt),
-      presetQuestions: Array.isArray(updates.presetQuestions) ? updates.presetQuestions.map((item) => normalizeText(item)).filter(Boolean) : existing.presetQuestions,
-      allowedBuiltinTools: Array.isArray(updates.allowedBuiltinTools) ? updates.allowedBuiltinTools.map((item) => normalizeText(item)).filter(Boolean) : existing.allowedBuiltinTools,
-      applicableChatTypes: Array.isArray(updates.applicableChatTypes) ? updates.applicableChatTypes : existing.applicableChatTypes,
-      supportedLocales: Array.isArray(updates.supportedLocales) ? updates.supportedLocales.map((item) => normalizeText(item)).filter(Boolean) : existing.supportedLocales
-    }
-    const dir = await this.getAssistantsDir()
-    await writeFile(join(dir, `${key}.md`), toMarkdown(next), 'utf8')
-    this.cache.set(key, next)
-    return { success: true }
-  }
-
-  async delete(id: string): Promise<{ success: boolean; error?: string }> {
-    await this.ensureInitialized()
-    const key = normalizeText(id)
-    if (key === 'general_cn' || key === 'general_en' || key === 'general_ja') {
-      return { success: false, error: '默认助手不可删除' }
-    }
-    const dir = await this.getAssistantsDir()
-    const filePath = join(dir, `${key}.md`)
-    if (existsSync(filePath)) {
-      await rm(filePath, { force: true })
-    }
-    this.cache.delete(key)
-    return { success: true }
-  }
-
-  async reset(id: string): Promise<{ success: boolean; error?: string }> {
-    await this.ensureInitialized()
-    const key = normalizeText(id)
-    const existing = this.cache.get(key)
-    if (!existing?.builtinId) {
-      return { success: false, error: '该助手不支持重置' }
-    }
-    const builtin = BUILTIN_ASSISTANTS.find((item) => item.id === existing.builtinId)
-    if (!builtin) return { success: false, error: '内置模板不存在' }
-    const parsed = parseAssistantMarkdown(builtin.raw)
-    const config: AssistantConfigFull = {
-      ...parsed,
-      id: key,
-      builtinId: existing.builtinId
-    }
-    const dir = await this.getAssistantsDir()
-    await writeFile(join(dir, `${key}.md`), toMarkdown(config), 'utf8')
-    this.cache.set(key, config)
-    return { success: true }
-  }
-
-  async getBuiltinCatalog(): Promise<BuiltinAssistantInfo[]> {
-    await this.ensureInitialized()
-    return BUILTIN_ASSISTANTS.map((builtin) => {
-      const parsed = parseAssistantMarkdown(builtin.raw)
-      const imported = Array.from(this.cache.values()).some((config) => config.builtinId === builtin.id || config.id === builtin.id)
-      return {
-        id: parsed.id,
-        name: parsed.name,
-        systemPrompt: parsed.systemPrompt,
-        applicableChatTypes: parsed.applicableChatTypes,
-        supportedLocales: parsed.supportedLocales,
-        imported
-      }
-    })
-  }
-
-  async getBuiltinToolCatalog(): Promise<Array<{ name: string; category: AssistantToolCategory }>> {
-    return defaultBuiltinToolCatalog()
-  }
-
-  async importFromMd(rawMd: string): Promise<{ success: boolean; id?: string; error?: string }> {
-    try {
-      const parsed = parseAssistantMarkdown(rawMd)
-      if (!parsed.id) return { success: false, error: '缺少 id' }
-      if (this.cache.has(parsed.id)) return { success: false, error: '助手 ID 已存在' }
-      const dir = await this.getAssistantsDir()
-      await writeFile(join(dir, `${parsed.id}.md`), toMarkdown(parsed), 'utf8')
-      this.cache.set(parsed.id, parsed)
-      return { success: true, id: parsed.id }
-    } catch (error) {
-      return { success: false, error: String((error as Error)?.message || error) }
-    }
-  }
-}
-
-export const aiAssistantService = new AiAssistantService()

electron/services/aiSkillService.ts

@@ -1,395 +0,0 @@
-import { existsSync } from 'fs'
-import { mkdir, readdir, readFile, rm, writeFile } from 'fs/promises'
-import { join } from 'path'
-import { ConfigService } from './config'
-
-export type SkillChatScope = 'all' | 'group' | 'private'
-
-export interface SkillSummary {
-  id: string
-  name: string
-  description: string
-  tags: string[]
-  chatScope: SkillChatScope
-  tools: string[]
-  builtinId?: string
-}
-
-export interface SkillDef extends SkillSummary {
-  prompt: string
-}
-
-export interface BuiltinSkillInfo extends SkillSummary {
-  imported: boolean
-}
-
-const SKILL_DEEP_TIMELINE_MD = `---
-id: deep_timeline
-name: 深度时间线追踪
-description: 适合还原某段时间内发生了什么，强调事件顺序与证据引用。
-tags:
-  - timeline
-  - evidence
-chatScope: all
-tools:
-  - ai_query_time_window_activity
-  - ai_query_session_candidates
-  - ai_query_session_glimpse
-  - ai_query_timeline
-  - ai_fetch_message_briefs
-  - ai_query_source_refs
----
-你是“深度时间线追踪”技能。
-执行步骤：
-1. 先按时间窗扫描活跃会话，必要时补关键词筛选候选会话。
-2. 对候选会话先抽样，再拉取时间轴。
-3. 对关键节点用 ai_fetch_message_briefs 校对原文。
-4. 最后输出“结论 + 关键节点 + 来源范围”。`
-
-const SKILL_CONTACT_FOCUS_MD = `---
-id: contact_focus
-name: 联系人关系聚焦
-description: 用于“我和谁聊得最多/关系变化”这类问题，强调联系人维度。
-tags:
-  - contacts
-  - relation
-chatScope: private
-tools:
-  - ai_query_top_contacts
-  - ai_query_topic_stats
-  - ai_query_session_glimpse
-  - ai_query_timeline
-  - ai_query_source_refs
----
-你是“联系人关系聚焦”技能。
-执行步骤：
-1. 优先调用 ai_query_top_contacts 得到候选联系人排名。
-2. 针对 Top 联系人读取抽样消息并补充时间轴。
-3. 如果用户问题涉及“变化趋势”，补 ai_query_topic_stats。
-4. 输出时必须给出对比口径（时间窗、样本范围、消息数量）。`
-
-const SKILL_VOICE_AUDIT_MD = `---
-id: voice_audit
-name: 语音证据审计
-description: 对语音消息进行“先列ID再转写再总结”的合规分析。
-tags:
-  - voice
-  - audit
-chatScope: all
-tools:
-  - ai_list_voice_messages
-  - ai_transcribe_voice_messages
-  - ai_query_source_refs
----
-你是“语音证据审计”技能。
-硬规则：
-1. 必须先调用 ai_list_voice_messages 获取语音 ID 清单。
-2. 仅能转写用户明确指定的 ID，单轮最多 5 条。
-3. 未转写成功的语音不得作为事实。
-4. 输出包含“已转写 / 失败 / 待确认”三段。`
-
-const BUILTIN_SKILLS = [
-  { id: 'deep_timeline', raw: SKILL_DEEP_TIMELINE_MD },
-  { id: 'contact_focus', raw: SKILL_CONTACT_FOCUS_MD },
-  { id: 'voice_audit', raw: SKILL_VOICE_AUDIT_MD }
-] as const
-
-function normalizeText(value: unknown, fallback = ''): string {
-  const text = String(value ?? '').trim()
-  return text || fallback
-}
-
-function parseInlineList(text: string): string[] {
-  const raw = normalizeText(text)
-  if (!raw) return []
-  return raw
-    .split(',')
-    .map((item) => item.trim())
-    .filter(Boolean)
-}
-
-function splitFrontmatter(raw: string): { frontmatter: string; body: string } {
-  const normalized = String(raw || '')
-  if (!normalized.startsWith('---')) {
-    return { frontmatter: '', body: normalized.trim() }
-  }
-  const end = normalized.indexOf('\n---', 3)
-  if (end < 0) return { frontmatter: '', body: normalized.trim() }
-  return {
-    frontmatter: normalized.slice(3, end).trim(),
-    body: normalized.slice(end + 4).trim()
-  }
-}
-
-function normalizeChatScope(value: unknown): SkillChatScope {
-  const scope = normalizeText(value).toLowerCase()
-  if (scope === 'group' || scope === 'private') return scope
-  return 'all'
-}
-
-function parseSkillMarkdown(raw: string): SkillDef {
-  const { frontmatter, body } = splitFrontmatter(raw)
-  const lines = frontmatter ? frontmatter.split('\n') : []
-  const data: Record<string, unknown> = {}
-  let currentArrayKey = ''
-  for (const line of lines) {
-    const trimmed = line.trim()
-    if (!trimmed) continue
-    const kv = trimmed.match(/^([A-Za-z0-9_]+)\s*:\s*(.*)$/)
-    if (kv) {
-      const key = kv[1]
-      const value = kv[2]
-      if (!value) {
-        data[key] = []
-        currentArrayKey = key
-      } else {
-        data[key] = value
-        currentArrayKey = ''
-      }
-      continue
-    }
-    const arr = trimmed.match(/^- (.+)$/)
-    if (arr && currentArrayKey) {
-      const next = Array.isArray(data[currentArrayKey]) ? data[currentArrayKey] as string[] : []
-      next.push(arr[1].trim())
-      data[currentArrayKey] = next
-    }
-  }
-
-  const id = normalizeText(data.id)
-  const name = normalizeText(data.name, id || 'skill')
-  const description = normalizeText(data.description)
-  const tags = Array.isArray(data.tags)
-    ? (data.tags as string[]).map((item) => item.trim()).filter(Boolean)
-    : parseInlineList(String(data.tags || ''))
-  const tools = Array.isArray(data.tools)
-    ? (data.tools as string[]).map((item) => item.trim()).filter(Boolean)
-    : parseInlineList(String(data.tools || ''))
-  const chatScope = normalizeChatScope(data.chatScope)
-  const builtinId = normalizeText(data.builtinId)
-
-  return {
-    id,
-    name,
-    description,
-    tags,
-    chatScope,
-    tools,
-    prompt: body,
-    builtinId: builtinId || undefined
-  }
-}
-
-function serializeSkillMarkdown(skill: SkillDef): string {
-  const lines = [
-    '---',
-    `id: ${skill.id}`,
-    `name: ${skill.name}`,
-    `description: ${skill.description}`,
-    `chatScope: ${skill.chatScope}`
-  ]
-  if (skill.builtinId) lines.push(`builtinId: ${skill.builtinId}`)
-  if (skill.tags.length > 0) {
-    lines.push('tags:')
-    skill.tags.forEach((tag) => lines.push(`  - ${tag}`))
-  }
-  if (skill.tools.length > 0) {
-    lines.push('tools:')
-    skill.tools.forEach((tool) => lines.push(`  - ${tool}`))
-  }
-  lines.push('---')
-  lines.push('')
-  lines.push(skill.prompt || '')
-  return lines.join('\n')
-}
-
-class AiSkillService {
-  private readonly config = ConfigService.getInstance()
-  private initialized = false
-  private readonly cache = new Map<string, SkillDef>()
-
-  private getRootDirCandidates(): string[] {
-    const dbPath = normalizeText(this.config.get('dbPath'))
-    const wxid = normalizeText(this.config.get('myWxid'))
-    const roots: string[] = []
-    if (dbPath && wxid) {
-      roots.push(join(dbPath, wxid, 'db_storage', 'wf_ai_v2'))
-      roots.push(join(dbPath, wxid, 'db_storage', 'wf_ai'))
-    }
-    roots.push(join(process.cwd(), 'data', 'wf_ai_v2'))
-    return roots
-  }
-
-  private async getRootDir(): Promise<string> {
-    const roots = this.getRootDirCandidates()
-    const dir = roots[0]
-    await mkdir(dir, { recursive: true })
-    return dir
-  }
-
-  private async getSkillsDir(): Promise<string> {
-    const root = await this.getRootDir()
-    const dir = join(root, 'skills')
-    await mkdir(dir, { recursive: true })
-    return dir
-  }
-
-  private async ensureInitialized(): Promise<void> {
-    if (this.initialized) return
-    const dir = await this.getSkillsDir()
-
-    for (const builtin of BUILTIN_SKILLS) {
-      const filePath = join(dir, `${builtin.id}.md`)
-      if (!existsSync(filePath)) {
-        const parsed = parseSkillMarkdown(builtin.raw)
-        const config: SkillDef = {
-          ...parsed,
-          builtinId: parsed.id
-        }
-        await writeFile(filePath, serializeSkillMarkdown(config), 'utf8')
-        continue
-      }
-      try {
-        const raw = await readFile(filePath, 'utf8')
-        const parsed = parseSkillMarkdown(raw)
-        if (!parsed.builtinId) {
-          parsed.builtinId = builtin.id
-          await writeFile(filePath, serializeSkillMarkdown(parsed), 'utf8')
-        }
-      } catch {
-        // ignore broken file
-      }
-    }
-
-    this.cache.clear()
-    const files = await readdir(dir)
-    for (const fileName of files) {
-      if (!fileName.endsWith('.md')) continue
-      const filePath = join(dir, fileName)
-      try {
-        const raw = await readFile(filePath, 'utf8')
-        const parsed = parseSkillMarkdown(raw)
-        if (!parsed.id) continue
-        this.cache.set(parsed.id, parsed)
-      } catch {
-        // ignore broken file
-      }
-    }
-    this.initialized = true
-  }
-
-  async getAll(): Promise<SkillSummary[]> {
-    await this.ensureInitialized()
-    return Array.from(this.cache.values())
-      .sort((a, b) => a.name.localeCompare(b.name, 'zh-Hans-CN'))
-      .map((skill) => ({
-        id: skill.id,
-        name: skill.name,
-        description: skill.description,
-        tags: [...skill.tags],
-        chatScope: skill.chatScope,
-        tools: [...skill.tools],
-        builtinId: skill.builtinId
-      }))
-  }
-
-  async getConfig(id: string): Promise<SkillDef | null> {
-    await this.ensureInitialized()
-    const key = normalizeText(id)
-    const value = this.cache.get(key)
-    return value ? {
-      ...value,
-      tags: [...value.tags],
-      tools: [...value.tools]
-    } : null
-  }
-
-  async create(rawMd: string): Promise<{ success: boolean; id?: string; error?: string }> {
-    await this.ensureInitialized()
-    try {
-      const parsed = parseSkillMarkdown(rawMd)
-      if (!parsed.id) return { success: false, error: '缺少 id' }
-      if (this.cache.has(parsed.id)) return { success: false, error: '技能 ID 已存在' }
-      const dir = await this.getSkillsDir()
-      await writeFile(join(dir, `${parsed.id}.md`), serializeSkillMarkdown(parsed), 'utf8')
-      this.cache.set(parsed.id, parsed)
-      return { success: true, id: parsed.id }
-    } catch (error) {
-      return { success: false, error: String((error as Error)?.message || error) }
-    }
-  }
-
-  async update(id: string, rawMd: string): Promise<{ success: boolean; error?: string }> {
-    await this.ensureInitialized()
-    const key = normalizeText(id)
-    const existing = this.cache.get(key)
-    if (!existing) return { success: false, error: '技能不存在' }
-    try {
-      const parsed = parseSkillMarkdown(rawMd)
-      parsed.id = key
-      if (existing.builtinId && !parsed.builtinId) parsed.builtinId = existing.builtinId
-      const dir = await this.getSkillsDir()
-      await writeFile(join(dir, `${key}.md`), serializeSkillMarkdown(parsed), 'utf8')
-      this.cache.set(key, parsed)
-      return { success: true }
-    } catch (error) {
-      return { success: false, error: String((error as Error)?.message || error) }
-    }
-  }
-
-  async delete(id: string): Promise<{ success: boolean; error?: string }> {
-    await this.ensureInitialized()
-    const key = normalizeText(id)
-    const dir = await this.getSkillsDir()
-    const filePath = join(dir, `${key}.md`)
-    if (existsSync(filePath)) {
-      await rm(filePath, { force: true })
-    }
-    this.cache.delete(key)
-    return { success: true }
-  }
-
-  async getBuiltinCatalog(): Promise<BuiltinSkillInfo[]> {
-    await this.ensureInitialized()
-    return BUILTIN_SKILLS.map((builtin) => {
-      const parsed = parseSkillMarkdown(builtin.raw)
-      const imported = Array.from(this.cache.values()).some((skill) => skill.builtinId === parsed.id || skill.id === parsed.id)
-      return {
-        id: parsed.id,
-        name: parsed.name,
-        description: parsed.description,
-        tags: parsed.tags,
-        chatScope: parsed.chatScope,
-        tools: parsed.tools,
-        imported
-      }
-    })
-  }
-
-  async importFromMd(rawMd: string): Promise<{ success: boolean; id?: string; error?: string }> {
-    return this.create(rawMd)
-  }
-
-  async getAutoSkillMenu(
-    chatScope: SkillChatScope,
-    allowedTools?: string[]
-  ): Promise<string | null> {
-    await this.ensureInitialized()
-    const compatible = Array.from(this.cache.values()).filter((skill) => {
-      if (skill.chatScope !== 'all' && skill.chatScope !== chatScope) return false
-      if (!allowedTools || allowedTools.length === 0) return true
-      return skill.tools.every((tool) => allowedTools.includes(tool))
-    })
-    if (compatible.length === 0) return null
-    const lines = compatible.slice(0, 15).map((skill) => `- ${skill.id}: ${skill.name} - ${skill.description}`)
-    return [
-      '你可以按需调用工具 activate_skill 以激活对应技能。',
-      '当用户问题明显匹配某个技能时，先调用 activate_skill 获取执行手册。',
-      '若问题简单或不匹配技能，可直接回答。',
-      '',
-      ...lines
-    ].join('\n')
-  }
-}
-
-export const aiSkillService = new AiSkillService()

electron/services/config.ts

@@ -71,19 +71,6 @@ interface ConfigSchema {
   exportWriteLayout: 'A' | 'B' | 'C'
 
   // AI 见解
-  aiModelApiBaseUrl: string
-  aiModelApiKey: string
-  aiModelApiModel: string
-  aiAgentMaxMessagesPerRequest: number
-  aiAgentMaxHistoryRounds: number
-  aiAgentEnableAutoSkill: boolean
-  aiAgentSearchContextBefore: number
-  aiAgentSearchContextAfter: number
-  aiAgentPreprocessClean: boolean
-  aiAgentPreprocessMerge: boolean
-  aiAgentPreprocessDenoise: boolean
-  aiAgentPreprocessDesensitize: boolean
-  aiAgentPreprocessAnonymize: boolean
   aiInsightEnabled: boolean
   aiInsightApiBaseUrl: string
   aiInsightApiKey: string
@@ -106,21 +93,10 @@ interface ConfigSchema {
   aiInsightTelegramToken: string
   /** Telegram 接收 Chat ID，逗号分隔，支持多个 */
   aiInsightTelegramChatIds: string
-
-  // AI 足迹
-  aiFootprintEnabled: boolean
-  aiFootprintSystemPrompt: string
 }
 
 // 需要 safeStorage 加密的字段（普通模式）
-const ENCRYPTED_STRING_KEYS: Set<string> = new Set([
-  'decryptKey',
-  'imageAesKey',
-  'authPassword',
-  'httpApiToken',
-  'aiModelApiKey',
-  'aiInsightApiKey'
-])
+const ENCRYPTED_STRING_KEYS: Set<string> = new Set(['decryptKey', 'imageAesKey', 'authPassword', 'httpApiToken', 'aiInsightApiKey'])
 const ENCRYPTED_BOOL_KEYS: Set<string> = new Set(['authEnabled', 'authUseHello'])
 const ENCRYPTED_NUMBER_KEYS: Set<string> = new Set(['imageXorKey'])
 
@@ -191,19 +167,6 @@ export class ConfigService {
       quoteLayout: 'quote-top',
       wordCloudExcludeWords: [],
       exportWriteLayout: 'A',
-      aiModelApiBaseUrl: '',
-      aiModelApiKey: '',
-      aiModelApiModel: 'gpt-4o-mini',
-      aiAgentMaxMessagesPerRequest: 120,
-      aiAgentMaxHistoryRounds: 12,
-      aiAgentEnableAutoSkill: true,
-      aiAgentSearchContextBefore: 3,
-      aiAgentSearchContextAfter: 3,
-      aiAgentPreprocessClean: true,
-      aiAgentPreprocessMerge: true,
-      aiAgentPreprocessDenoise: true,
-      aiAgentPreprocessDesensitize: false,
-      aiAgentPreprocessAnonymize: false,
       aiInsightEnabled: false,
       aiInsightApiBaseUrl: '',
       aiInsightApiKey: '',
@@ -218,9 +181,7 @@ export class ConfigService {
       aiInsightSystemPrompt: '',
       aiInsightTelegramEnabled: false,
       aiInsightTelegramToken: '',
-      aiInsightTelegramChatIds: '',
-      aiFootprintEnabled: false,
-      aiFootprintSystemPrompt: ''
+      aiInsightTelegramChatIds: ''
     }
 
     const storeOptions: any = {
@@ -252,7 +213,6 @@ export class ConfigService {
       }
     }
     this.migrateAuthFields()
-    this.migrateAiConfig()
   }
 
   // === 状态查询 ===
@@ -310,9 +270,7 @@ export class ConfigService {
     const inLockMode = this.isLockMode() && this.unlockPassword
 
     if (ENCRYPTED_BOOL_KEYS.has(key)) {
-      const boolValue = value === true || value === 'true'
-      // `false` 不需要写入 keychain，避免无意义触发 macOS 钥匙串弹窗
-      toStore = (boolValue ? this.safeEncrypt('true') : false) as ConfigSchema[K]
+      toStore = this.safeEncrypt(String(value)) as ConfigSchema[K]
     } else if (ENCRYPTED_NUMBER_KEYS.has(key)) {
       if (inLockMode && LOCKABLE_NUMBER_KEYS.has(key)) {
         toStore = this.lockEncrypt(String(value), this.unlockPassword!) as ConfigSchema[K]
@@ -691,7 +649,7 @@ export class ConfigService {
 
   clearHelloSecret(): void {
     this.store.set('authHelloSecret', '' as any)
-    this.store.set('authUseHello', false as any)
+    this.store.set('authUseHello', this.safeEncrypt('false') as any)
   }
 
   // === 迁移 ===
@@ -700,18 +658,13 @@ export class ConfigService {
     // 将旧版明文 auth 字段迁移为 safeStorage 加密格式
     // 如果已经是 safe: 或 lock: 前缀则跳过
     const rawEnabled: any = this.store.get('authEnabled')
-    if (rawEnabled === true || rawEnabled === 'true') {
-      this.store.set('authEnabled', this.safeEncrypt('true') as any)
-    } else if (rawEnabled === false || rawEnabled === 'false') {
-      // 保持 false 为明文布尔，避免冷启动访问 keychain
-      this.store.set('authEnabled', false as any)
+    if (typeof rawEnabled === 'boolean') {
+      this.store.set('authEnabled', this.safeEncrypt(String(rawEnabled)) as any)
     }
 
     const rawUseHello: any = this.store.get('authUseHello')
-    if (rawUseHello === true || rawUseHello === 'true') {
-      this.store.set('authUseHello', this.safeEncrypt('true') as any)
-    } else if (rawUseHello === false || rawUseHello === 'false') {
-      this.store.set('authUseHello', false as any)
+    if (typeof rawUseHello === 'boolean') {
+      this.store.set('authUseHello', this.safeEncrypt(String(rawUseHello)) as any)
     }
 
     const rawPassword: any = this.store.get('authPassword')
@@ -757,26 +710,6 @@ export class ConfigService {
     }
   }
 
-  private migrateAiConfig(): void {
-    const sharedBaseUrl = String(this.get('aiModelApiBaseUrl') || '').trim()
-    const sharedApiKey = String(this.get('aiModelApiKey') || '').trim()
-    const sharedModel = String(this.get('aiModelApiModel') || '').trim()
-
-    const legacyBaseUrl = String(this.get('aiInsightApiBaseUrl') || '').trim()
-    const legacyApiKey = String(this.get('aiInsightApiKey') || '').trim()
-    const legacyModel = String(this.get('aiInsightApiModel') || '').trim()
-
-    if (!sharedBaseUrl && legacyBaseUrl) {
-      this.set('aiModelApiBaseUrl', legacyBaseUrl)
-    }
-    if (!sharedApiKey && legacyApiKey) {
-      this.set('aiModelApiKey', legacyApiKey)
-    }
-    if (!sharedModel && legacyModel) {
-      this.set('aiModelApiModel', legacyModel)
-    }
-  }
-
   // === 验证 ===
 
   verifyAuthEnabled(): boolean {
@@ -796,7 +729,7 @@ export class ConfigService {
   // === 工具方法 ===
 
   /**
-   * 获取当前 wxid 对应的图片密钥，优先从 wxidConfigs 中取，找不到则回退到全局配置
+   * 获取当前 wxid 对应的图片密钥，优先从 wxidConfigs 中取，找不到则回退到全局<EFBFBD><EFBFBD>置
    */
   getImageKeysForCurrentWxid(): { xorKey: unknown; aesKey: string } {
     const wxid = this.get('myWxid')

electron/services/exportRecordService.ts

@@ -19,8 +19,7 @@ class ExportRecordService {
 
   private resolveFilePath(): string {
     if (this.filePath) return this.filePath
-    const workerUserDataPath = String(process.env.WEFLOW_USER_DATA_PATH || process.env.WEFLOW_CONFIG_CWD || '').trim()
-    const userDataPath = workerUserDataPath || app?.getPath?.('userData') || process.cwd()
+    const userDataPath = app.getPath('userData')
     fs.mkdirSync(userDataPath, { recursive: true })
     this.filePath = path.join(userDataPath, 'weflow-export-records.json')
     return this.filePath

electron/services/imageDecryptService.ts

@@ -949,7 +949,7 @@ export class ImageDecryptService {
         } catch { }
       }
 
-      // --- 策略 B: 新版 Session 哈希路径猜测 ---
+      // --- 绛栫暐 B: 鏂扮増 Session 鍝堝笇璺緞鐚滄祴 ---
       try {
         const entries = await fs.readdir(root, { withFileTypes: true })
         const sessionDirs = entries
@@ -1854,7 +1854,7 @@ export class ImageDecryptService {
   }
 
   /**
-   * 从 wxgf 数据中提取 HEVC NALU 裸流
+   * 浠?wxgf 鏁版嵁涓彁鍙?HEVC NALU 瑁告祦
    */
   private extractHevcNalu(buffer: Buffer): Buffer | null {
     const nalUnits: Buffer[] = []

electron/services/insightService.ts

@@ -39,9 +39,6 @@ const DEFAULT_SILENCE_DAYS = 3
 const INSIGHT_CONFIG_KEYS = new Set([
   'aiInsightEnabled',
   'aiInsightScanIntervalHours',
-  'aiModelApiBaseUrl',
-  'aiModelApiKey',
-  'aiModelApiModel',
   'dbPath',
   'decryptKey',
   'myWxid'
@@ -54,12 +51,6 @@ interface TodayTriggerRecord {
   timestamps: number[]
 }
 
-interface SharedAiModelConfig {
-  apiBaseUrl: string
-  apiKey: string
-  model: string
-}
-
 // ─── 日志 ─────────────────────────────────────────────────────────────────────
 
 /**
@@ -325,11 +316,13 @@ class InsightService {
   }
 
   /**
-   * 测试 API 连接，返回 { success, message }。
+   * 测<EFBFBD><EFBFBD><EFBFBD> API 连接，返回 { success, message }。
    * 供设置页"测试连接"按钮调用。
    */
   async testConnection(): Promise<{ success: boolean; message: string }> {
-    const { apiBaseUrl, apiKey, model } = this.getSharedAiModelConfig()
+    const apiBaseUrl = this.config.get('aiInsightApiBaseUrl') as string
+    const apiKey = this.config.get('aiInsightApiKey') as string
+    const model = (this.config.get('aiInsightApiModel') as string) || 'gpt-4o-mini'
 
     if (!apiBaseUrl || !apiKey) {
       return { success: false, message: '请先填写 API 地址和 API Key' }
@@ -355,7 +348,8 @@ class InsightService {
    */
   async triggerTest(): Promise<{ success: boolean; message: string }> {
     insightLog('INFO', '手动触发测试见解...')
-    const { apiBaseUrl, apiKey } = this.getSharedAiModelConfig()
+    const apiBaseUrl = this.config.get('aiInsightApiBaseUrl') as string
+    const apiKey = this.config.get('aiInsightApiKey') as string
     if (!apiBaseUrl || !apiKey) {
       return { success: false, message: '请先填写 API 地址和 Key' }
     }
@@ -404,124 +398,12 @@ class InsightService {
     return result
   }
 
-  async generateFootprintInsight(params: {
-    rangeLabel: string
-    summary: {
-      private_inbound_people?: number
-      private_replied_people?: number
-      private_outbound_people?: number
-      private_reply_rate?: number
-      mention_count?: number
-      mention_group_count?: number
-    }
-    privateSegments?: Array<{ displayName?: string; session_id?: string; incoming_count?: number; outgoing_count?: number; message_count?: number; replied?: boolean }>
-    mentionGroups?: Array<{ displayName?: string; session_id?: string; count?: number }>
-  }): Promise<{ success: boolean; message: string; insight?: string }> {
-    const enabled = this.config.get('aiFootprintEnabled') === true
-    if (!enabled) {
-      return { success: false, message: '请先在设置中开启「AI 足迹总结」' }
-    }
-
-    const { apiBaseUrl, apiKey, model } = this.getSharedAiModelConfig()
-    if (!apiBaseUrl || !apiKey) {
-      return { success: false, message: '请先填写通用 AI 模型配置（API 地址和 Key）' }
-    }
-
-    const summary = params?.summary || {}
-    const rangeLabel = String(params?.rangeLabel || '').trim() || '当前范围'
-    const privateSegments = Array.isArray(params?.privateSegments) ? params.privateSegments.slice(0, 6) : []
-    const mentionGroups = Array.isArray(params?.mentionGroups) ? params.mentionGroups.slice(0, 6) : []
-
-    const topPrivateText = privateSegments.length > 0
-      ? privateSegments
-        .map((item, idx) => {
-          const name = String(item.displayName || item.session_id || `联系人${idx + 1}`).trim()
-          const inbound = Number(item.incoming_count) || 0
-          const outbound = Number(item.outgoing_count) || 0
-          const total = Math.max(Number(item.message_count) || 0, inbound + outbound)
-          return `${idx + 1}. ${name}（收${inbound}/发${outbound}/总${total}${item.replied ? '/已回复' : ''}）`
-        })
-        .join('\n')
-      : '无'
-
-    const topMentionText = mentionGroups.length > 0
-      ? mentionGroups
-        .map((item, idx) => {
-          const name = String(item.displayName || item.session_id || `群聊${idx + 1}`).trim()
-          const count = Number(item.count) || 0
-          return `${idx + 1}. ${name}（@我 ${count} 次）`
-        })
-        .join('\n')
-      : '无'
-
-    const defaultSystemPrompt = `你是用户的聊天足迹教练，负责基于统计数据给出一段简明复盘。
-要求：
-1. 输出 2-3 句，总长度不超过 180 字。
-2. 必须包含：总体观察 + 一个可执行建议。
-3. 语气务实，不夸张，不使用 Markdown。`
-    const customPrompt = String(this.config.get('aiFootprintSystemPrompt') || '').trim()
-    const systemPrompt = customPrompt || defaultSystemPrompt
-
-    const userPrompt = `统计范围：${rangeLabel}
-有聊天的人数：${Number(summary.private_inbound_people) || 0}
-我有回复的人数：${Number(summary.private_outbound_people) || 0}
-回复率：${(((Number(summary.private_reply_rate) || 0) * 100)).toFixed(1)}%
-@我次数：${Number(summary.mention_count) || 0}
-涉及群聊：${Number(summary.mention_group_count) || 0}
-
-私聊重点：
-${topPrivateText}
-
-群聊@我重点：
-${topMentionText}
-
-请给出足迹复盘（2-3句，含建议）：`
-
-    try {
-      const result = await callApi(
-        apiBaseUrl,
-        apiKey,
-        model,
-        [
-          { role: 'system', content: systemPrompt },
-          { role: 'user', content: userPrompt }
-        ],
-        25_000
-      )
-      const insight = result.trim().slice(0, 400)
-      if (!insight) return { success: false, message: '模型返回为空' }
-      return { success: true, message: '生成成功', insight }
-    } catch (error) {
-      return { success: false, message: `生成失败：${(error as Error).message}` }
-    }
-  }
-
   // ── 私有方法 ────────────────────────────────────────────────────────────────
 
   private isEnabled(): boolean {
     return this.config.get('aiInsightEnabled') === true
   }
 
-  private getSharedAiModelConfig(): SharedAiModelConfig {
-    const apiBaseUrl = String(
-      this.config.get('aiModelApiBaseUrl')
-      || this.config.get('aiInsightApiBaseUrl')
-      || ''
-    ).trim()
-    const apiKey = String(
-      this.config.get('aiModelApiKey')
-      || this.config.get('aiInsightApiKey')
-      || ''
-    ).trim()
-    const model = String(
-      this.config.get('aiModelApiModel')
-      || this.config.get('aiInsightApiModel')
-      || 'gpt-4o-mini'
-    ).trim() || 'gpt-4o-mini'
-
-    return { apiBaseUrl, apiKey, model }
-  }
-
   /**
    * 判断某个会话是否允许触发见解。
    * 若白名单未启用，则所有私聊会话均允许；
@@ -593,7 +475,7 @@ ${topMentionText}
   }
 
   /**
-   * 获取今日全局已触发次数（所有会话合计），用于 prompt 中告知模型全局上下文。
+   * 获取今日全局已触发次数（所有会话合计），用于 prompt 中告知模<EFBFBD><EFBFBD><EFBFBD>全局上下文。
    */
   private getTodayTotalTriggerCount(): number {
     this.resetIfNewDay()
@@ -814,7 +696,9 @@ ${topMentionText}
     if (!sessionId) return
     if (!this.isEnabled()) return
 
-    const { apiBaseUrl, apiKey, model } = this.getSharedAiModelConfig()
+    const apiBaseUrl = this.config.get('aiInsightApiBaseUrl') as string
+    const apiKey = this.config.get('aiInsightApiKey') as string
+    const model = (this.config.get('aiInsightApiModel') as string) || 'gpt-4o-mini'
     const allowContext = this.config.get('aiInsightAllowContext') as boolean
     const contextCount = (this.config.get('aiInsightContextCount') as number) || 40
 
@@ -825,7 +709,7 @@ ${topMentionText}
       return
     }
 
-    // ── 构建 prompt ────────────────────────────────────────────────────────────
+    // ── 构建 prompt ─────────────<EFBFBD><EFBFBD><EFBFBD>───────────────────────────────<EFBFBD><EFBFBD><EFBFBD>────────────
 
     // 今日触发统计（让模型具备时间与克制感）
     const sessionTriggerTimes = this.recordTrigger(sessionId)

electron/services/keyServiceMac.ts

@@ -1,6 +1,6 @@
 import { app, shell } from 'electron'
 import { join, basename, dirname } from 'path'
-import { existsSync, readdirSync, readFileSync, statSync, chmodSync } from 'fs'
+import { existsSync, readdirSync, readFileSync, statSync } from 'fs'
 import { execFile, spawn } from 'child_process'
 import { promisify } from 'util'
 import crypto from 'crypto'
@@ -403,71 +403,19 @@ export class KeyServiceMac {
     return `'${String(text).replace(/'/g, `'\\''`)}'`
   }
 
-  private collectMacKeyArtifactPaths(primaryBinaryPath: string): string[] {
-    const baseDir = dirname(primaryBinaryPath)
-    const names = ['xkey_helper', 'image_scan_helper', 'xkey_helper_macos', 'libwx_key.dylib']
-    const unique: string[] = []
-    for (const name of names) {
-      const full = join(baseDir, name)
-      if (!existsSync(full)) continue
-      if (!unique.includes(full)) unique.push(full)
-    }
-    if (existsSync(primaryBinaryPath) && !unique.includes(primaryBinaryPath)) {
-      unique.unshift(primaryBinaryPath)
-    }
-    return unique
-  }
-
-  private ensureExecutableBitsBestEffort(paths: string[]): void {
-    for (const p of paths) {
-      try {
-        const mode = statSync(p).mode
-        if ((mode & 0o111) !== 0) continue
-        chmodSync(p, mode | 0o111)
-      } catch {
-        // ignore: 可能无权限（例如 /Applications 下 root-owned 的 .app）
-      }
-    }
-  }
-
-  private async ensureExecutableBitsWithElevation(paths: string[], timeoutMs: number): Promise<void> {
-    const existing = paths.filter(p => existsSync(p))
-    if (existing.length === 0) return
-
-    const quotedPaths = existing.map(p => this.shellSingleQuote(p)).join(' ')
-    const timeoutSec = Math.max(30, Math.ceil(timeoutMs / 1000))
-    const scriptLines = [
-      `set chmodCmd to "/bin/chmod +x ${quotedPaths}"`,
-      `set timeoutSec to ${timeoutSec}`,
-      'with timeout of timeoutSec seconds',
-      'do shell script chmodCmd with administrator privileges',
-      'end timeout'
-    ]
-
-    await execFileAsync('/usr/bin/osascript', scriptLines.flatMap(line => ['-e', line]), {
-      timeout: timeoutMs + 10_000
-    })
-  }
-
   private async getDbKeyByHelperElevated(
     timeoutMs: number,
     onStatus?: (message: string, level: number) => void
   ): Promise<string> {
     const helperPath = this.getHelperPath()
-    const artifactPaths = this.collectMacKeyArtifactPaths(helperPath)
-    this.ensureExecutableBitsBestEffort(artifactPaths)
     const waitMs = Math.max(timeoutMs, 30_000)
     const timeoutSec = Math.ceil(waitMs / 1000) + 30
     const pid = await this.getWeChatPid()
-    const chmodPart = artifactPaths.length > 0
-      ? `/bin/chmod +x ${artifactPaths.map(p => this.shellSingleQuote(p)).join(' ')}`
-      : ''
-    const runPart = `${this.shellSingleQuote(helperPath)} ${pid} ${waitMs}`
-    const privilegedCmd = chmodPart ? `${chmodPart} && ${runPart}` : runPart
     // 用 AppleScript 的 quoted form 组装命令，避免复杂 shell 拼接导致整条失败
     // 通过 try/on error 回传详细错误，避免只看到 "Command failed"
     const scriptLines = [
-      `set cmd to ${JSON.stringify(privilegedCmd)}`,
+      `set helperPath to ${JSON.stringify(helperPath)}`,
+      `set cmd to quoted form of helperPath & " ${pid} ${waitMs}"`,
       `set timeoutSec to ${timeoutSec}`,
       'try',
       'with timeout of timeoutSec seconds',
@@ -803,12 +751,10 @@ export class KeyServiceMac {
     try {
       const helperPath = this.getImageScanHelperPath()
       const ciphertextHex = ciphertext.toString('hex')
-      const artifactPaths = this.collectMacKeyArtifactPaths(helperPath)
-      this.ensureExecutableBitsBestEffort(artifactPaths)
 
       // 1) 直接运行 helper（有正式签名的 debugger entitlement 时可用）
       if (!this._needsElevation) {
-        const direct = await this._spawnScanHelper(helperPath, pid, ciphertextHex, false, artifactPaths)
+        const direct = await this._spawnScanHelper(helperPath, pid, ciphertextHex, false)
         if (direct.key) return direct.key
         if (direct.permissionError) {
           console.warn('[KeyServiceMac] task_for_pid 权限不足，切换到 osascript 提权模式')
@@ -819,12 +765,7 @@ export class KeyServiceMac {
 
       // 2) 通过 osascript 以管理员权限运行 helper（SIP 下 ad-hoc 签名无法获取 task_for_pid）
       if (this._needsElevation) {
-        try {
-          await this.ensureExecutableBitsWithElevation(artifactPaths, 45_000)
-        } catch (e: any) {
-          console.warn('[KeyServiceMac] elevated chmod failed before image scan:', e?.message || e)
-        }
-        const elevated = await this._spawnScanHelper(helperPath, pid, ciphertextHex, true, artifactPaths)
+        const elevated = await this._spawnScanHelper(helperPath, pid, ciphertextHex, true)
         if (elevated.key) return elevated.key
       }
     } catch (e: any) {
@@ -927,19 +868,12 @@ export class KeyServiceMac {
   }
 
   private _spawnScanHelper(
-    helperPath: string,
-    pid: number,
-    ciphertextHex: string,
-    elevated: boolean,
-    artifactPaths: string[] = []
+    helperPath: string, pid: number, ciphertextHex: string, elevated: boolean
   ): Promise<{ key: string | null; permissionError: boolean }> {
     return new Promise((resolve, reject) => {
       let child: ReturnType<typeof spawn>
       if (elevated) {
-        const chmodPart = artifactPaths.length > 0
-          ? `/bin/chmod +x ${artifactPaths.map(p => this.shellSingleQuote(p)).join(' ')} && `
-          : ''
-        const shellCmd = `${chmodPart}${this.shellSingleQuote(helperPath)} ${pid} ${ciphertextHex}`
+        const shellCmd = `'${helperPath}' ${pid} ${ciphertextHex}`
         child = spawn('/usr/bin/osascript', ['-e', `do shell script ${JSON.stringify(shellCmd)} with administrator privileges`],
           { stdio: ['ignore', 'pipe', 'pipe'] })
       } else {

electron/services/wcdbCore.ts

@@ -58,7 +58,6 @@ export class WcdbCore {
   private wcdbGetAnnualReportExtras: any = null
   private wcdbGetDualReportStats: any = null
   private wcdbGetGroupStats: any = null
-  private wcdbGetMyFootprintStats: any = null
   private wcdbGetMessageDates: any = null
   private wcdbOpenMessageCursor: any = null
   private wcdbOpenMessageCursorLite: any = null
@@ -85,10 +84,6 @@ export class WcdbCore {
   private wcdbScanMediaStream: any = null
   private wcdbGetHeadImageBuffers: any = null
   private wcdbSearchMessages: any = null
-  private wcdbAiQuerySessionCandidates: any = null
-  private wcdbAiQueryTimeline: any = null
-  private wcdbAiQueryTopicStats: any = null
-  private wcdbAiQuerySourceRefs: any = null
   private wcdbGetSnsTimeline: any = null
   private wcdbGetSnsAnnualStats: any = null
   private wcdbGetSnsUsernames: any = null
@@ -132,8 +127,6 @@ export class WcdbCore {
   private logTimer: NodeJS.Timeout | null = null
   private lastLogTail: string | null = null
   private lastResolvedLogPath: string | null = null
-  private lastCursorForceReopenAt = 0
-  private readonly cursorForceReopenCooldownMs = 15000
 
   setPaths(resourcesPath: string, userDataPath: string): void {
     this.resourcesPath = resourcesPath
@@ -930,13 +923,6 @@ export class WcdbCore {
         this.wcdbGetGroupStats = null
       }
 
-      // wcdb_status wcdb_get_my_footprint_stats(wcdb_handle handle, const char* options_json, char** out_json)
-      try {
-        this.wcdbGetMyFootprintStats = this.lib.func('int32 wcdb_get_my_footprint_stats(int64 handle, const char* optionsJson, _Out_ void** outJson)')
-      } catch {
-        this.wcdbGetMyFootprintStats = null
-      }
-
       // wcdb_status wcdb_get_message_dates(wcdb_handle handle, const char* session_id, char** out_json)
       try {
         this.wcdbGetMessageDates = this.lib.func('int32 wcdb_get_message_dates(int64 handle, const char* sessionId, _Out_ void** outJson)')
@@ -1064,26 +1050,6 @@ export class WcdbCore {
       } catch {
         this.wcdbSearchMessages = null
       }
-      try {
-        this.wcdbAiQuerySessionCandidates = this.lib.func('int32 wcdb_ai_query_session_candidates(int64 handle, const char* optionsJson, _Out_ void** outJson)')
-      } catch {
-        this.wcdbAiQuerySessionCandidates = null
-      }
-      try {
-        this.wcdbAiQueryTimeline = this.lib.func('int32 wcdb_ai_query_timeline(int64 handle, const char* optionsJson, _Out_ void** outJson)')
-      } catch {
-        this.wcdbAiQueryTimeline = null
-      }
-      try {
-        this.wcdbAiQueryTopicStats = this.lib.func('int32 wcdb_ai_query_topic_stats(int64 handle, const char* optionsJson, _Out_ void** outJson)')
-      } catch {
-        this.wcdbAiQueryTopicStats = null
-      }
-      try {
-        this.wcdbAiQuerySourceRefs = this.lib.func('int32 wcdb_ai_query_source_refs(int64 handle, const char* optionsJson, _Out_ void** outJson)')
-      } catch {
-        this.wcdbAiQuerySourceRefs = null
-      }
 
       // wcdb_status wcdb_get_sns_timeline(wcdb_handle handle, int32_t limit, int32_t offset, const char* username, const char* keyword, int32_t start_time, int32_t end_time, char** out_json)
       try {
@@ -3132,65 +3098,6 @@ export class WcdbCore {
     }
   }
 
-  async getMyFootprintStats(options: {
-    beginTimestamp?: number
-    endTimestamp?: number
-    myWxid?: string
-    privateSessionIds?: string[]
-    groupSessionIds?: string[]
-    mentionLimit?: number
-    privateLimit?: number
-    mentionMode?: 'text_at_me' | string
-  }): Promise<{ success: boolean; data?: any; error?: string }> {
-    if (!this.ensureReady()) {
-      return { success: false, error: 'WCDB 未连接' }
-    }
-    if (!this.wcdbGetMyFootprintStats) {
-      return { success: false, error: '接口未就绪' }
-    }
-
-    try {
-      const normalizedPrivateSessions = Array.from(new Set(
-        (options?.privateSessionIds || [])
-          .map((value) => String(value || '').trim())
-          .filter(Boolean)
-      ))
-      const normalizedGroupSessions = Array.from(new Set(
-        (options?.groupSessionIds || [])
-          .map((value) => String(value || '').trim())
-          .filter(Boolean)
-      ))
-      const mentionLimitRaw = Number(options?.mentionLimit ?? 0)
-      const privateLimitRaw = Number(options?.privateLimit ?? 0)
-      const mentionLimit = Number.isFinite(mentionLimitRaw) && mentionLimitRaw >= 0 ? Math.floor(mentionLimitRaw) : 0
-      const privateLimit = Number.isFinite(privateLimitRaw) && privateLimitRaw >= 0 ? Math.floor(privateLimitRaw) : 0
-
-      const payload = JSON.stringify({
-        begin: this.normalizeTimestamp(options?.beginTimestamp || 0),
-        end: this.normalizeTimestamp(options?.endTimestamp || 0),
-        my_wxid: String(options?.myWxid || '').trim(),
-        private_session_ids: normalizedPrivateSessions,
-        group_session_ids: normalizedGroupSessions,
-        mention_limit: mentionLimit,
-        private_limit: privateLimit,
-        mention_mode: options?.mentionMode || 'text_at_me'
-      })
-
-      const outPtr = [null as any]
-      const result = this.wcdbGetMyFootprintStats(this.handle, payload, outPtr)
-      if (result !== 0 || !outPtr[0]) {
-        return { success: false, error: `获取我的足迹统计失败: ${result}` }
-      }
-      const jsonStr = this.decodeJsonPtr(outPtr[0])
-      if (!jsonStr) {
-        return { success: false, error: '解析我的足迹统计失败' }
-      }
-      return { success: true, data: JSON.parse(jsonStr) || {} }
-    } catch (e) {
-      return { success: false, error: String(e) }
-    }
-  }
-
   /**
    * 强制重新打开账号连接（绕过路径缓存），用于微信重装后消息数据库刷新失败时的自动恢复。
    * 返回重新打开是否成功。
@@ -3212,15 +3119,6 @@ export class WcdbCore {
     return this.open(path, key, wxid)
   }
 
-  private shouldRetryCursorAfterNoDb(): boolean {
-    const now = Date.now()
-    if (now - this.lastCursorForceReopenAt < this.cursorForceReopenCooldownMs) {
-      return false
-    }
-    this.lastCursorForceReopenAt = now
-    return true
-  }
-
   async openMessageCursor(sessionId: string, batchSize: number, ascending: boolean, beginTimestamp: number, endTimestamp: number): Promise<{ success: boolean; cursor?: number; error?: string }> {
     if (!this.ensureReady()) {
       return { success: false, error: 'WCDB 未连接' }
@@ -3238,7 +3136,7 @@ export class WcdbCore {
       )
       // result=-3 表示 WCDB_STATUS_NO_MESSAGE_DB：消息数据库缓存为空（常见于微信重装后）
       // 自动强制重连并重试一次
-      if (result === -3 && outCursor[0] <= 0 && this.shouldRetryCursorAfterNoDb()) {
+      if (result === -3 && outCursor[0] <= 0) {
         this.writeLog('openMessageCursor: result=-3 (no message db), attempting forceReopen...', true)
         const reopened = await this.forceReopen()
         if (reopened && this.handle !== null) {
@@ -3258,13 +3156,11 @@ export class WcdbCore {
         }
       }
       if (result !== 0 || outCursor[0] <= 0) {
-        if (result !== -3) {
-          await this.printLogs(true)
-          this.writeLog(
-            `openMessageCursor failed: sessionId=${sessionId} batchSize=${batchSize} ascending=${ascending ? 1 : 0} begin=${beginTimestamp} end=${endTimestamp} result=${result} cursor=${outCursor[0]}`,
-            true
-          )
-        }
+        await this.printLogs(true)
+        this.writeLog(
+          `openMessageCursor failed: sessionId=${sessionId} batchSize=${batchSize} ascending=${ascending ? 1 : 0} begin=${beginTimestamp} end=${endTimestamp} result=${result} cursor=${outCursor[0]}`,
+          true
+        )
         const hint = result === -3
           ? `创建游标失败: ${result}（消息数据库未找到）。如果你最近重装过微信，请尝试重新指定数据目录后重试`
           : result === -7
@@ -3301,7 +3197,7 @@ export class WcdbCore {
 
       // result=-3 表示 WCDB_STATUS_NO_MESSAGE_DB：消息数据库缓存为空
       // 自动强制重连并重试一次
-      if (result === -3 && outCursor[0] <= 0 && this.shouldRetryCursorAfterNoDb()) {
+      if (result === -3 && outCursor[0] <= 0) {
         this.writeLog('openMessageCursorLite: result=-3 (no message db), attempting forceReopen...', true)
         const reopened = await this.forceReopen()
         if (reopened && this.handle !== null) {
@@ -3322,13 +3218,11 @@ export class WcdbCore {
       }
 
       if (result !== 0 || outCursor[0] <= 0) {
-        if (result !== -3) {
-          await this.printLogs(true)
-          this.writeLog(
-            `openMessageCursorLite failed: sessionId=${sessionId} batchSize=${batchSize} ascending=${ascending ? 1 : 0} begin=${beginTimestamp} end=${endTimestamp} result=${result} cursor=${outCursor[0]}`,
-            true
-          )
-        }
+        await this.printLogs(true)
+        this.writeLog(
+          `openMessageCursorLite failed: sessionId=${sessionId} batchSize=${batchSize} ascending=${ascending ? 1 : 0} begin=${beginTimestamp} end=${endTimestamp} result=${result} cursor=${outCursor[0]}`,
+          true
+        )
         if (result === -7) {
           return { success: false, error: 'message schema mismatch：当前账号消息表结构与程序要求不一致' }
         }
@@ -3394,204 +3288,6 @@ export class WcdbCore {
     }
   }
 
-  private normalizeSqlIdentifier(name: string): string {
-    return `"${String(name || '').replace(/"/g, '""')}"`
-  }
-
-  private stripSqlComments(sql: string): string {
-    return String(sql || '')
-      .replace(/\/\*[\s\S]*?\*\//g, ' ')
-      .replace(/--[^\n\r]*/g, ' ')
-      .trim()
-  }
-
-  private isSqlLabReadOnly(sql: string): boolean {
-    const normalized = this.stripSqlComments(sql).trim()
-    if (!normalized) return false
-    if (normalized.includes('\u0000')) return false
-    const hasMultipleStatements = /;[\s\r\n]*\S/.test(normalized)
-    if (hasMultipleStatements) return false
-    const lower = normalized.toLowerCase()
-    if (/(insert|update|delete|drop|alter|create|attach|detach|replace|truncate|reindex|vacuum|analyze|begin|commit|rollback|savepoint|release)\b/.test(lower)) {
-      return false
-    }
-    if (/pragma\s+.*(writable_schema|journal_mode|locking_mode|foreign_keys)\s*=/.test(lower)) {
-      return false
-    }
-    return /^(select|with|pragma|explain)\b/.test(lower)
-  }
-
-  private async sqlLabListTablesForSource(
-    kind: 'message' | 'contact' | 'biz',
-    path: string | null,
-    maxTables: number = 60,
-    maxColumns: number = 120
-  ): Promise<Array<{ name: string; columns: string[] }>> {
-    const tableRows = await this.execQuery(
-      kind,
-      path,
-      `SELECT name FROM sqlite_master WHERE type='table' AND name NOT LIKE 'sqlite_%' ORDER BY name LIMIT ${Math.max(1, maxTables)}`
-    )
-    if (!tableRows.success || !Array.isArray(tableRows.rows)) return []
-
-    const tables: Array<{ name: string; columns: string[] }> = []
-    for (const row of tableRows.rows) {
-      const tableName = String((row as any)?.name || '').trim()
-      if (!tableName) continue
-      const pragma = await this.execQuery(kind, path, `PRAGMA table_info(${this.normalizeSqlIdentifier(tableName)})`)
-      const columns = pragma.success && Array.isArray(pragma.rows)
-        ? pragma.rows
-            .map((item: any) => String(item?.name || '').trim())
-            .filter(Boolean)
-            .slice(0, maxColumns)
-        : []
-      tables.push({ name: tableName, columns })
-    }
-
-    return tables
-  }
-
-  async sqlLabGetSchema(payload?: { sessionId?: string }): Promise<{
-    success: boolean
-    schema?: {
-      generatedAt: number
-      sources: Array<{
-        kind: 'message' | 'contact' | 'biz'
-        path: string | null
-        label: string
-        tables: Array<{ name: string; columns: string[] }>
-      }>
-    }
-    schemaText?: string
-    error?: string
-  }> {
-    if (!this.ensureReady()) {
-      return { success: false, error: 'WCDB 未连接' }
-    }
-
-    try {
-      const sessionId = String(payload?.sessionId || '').trim()
-      const sources: Array<{
-        kind: 'message' | 'contact' | 'biz'
-        path: string | null
-        label: string
-        tables: Array<{ name: string; columns: string[] }>
-      }> = []
-
-      if (sessionId) {
-        const tableStats = await this.getMessageTableStats(sessionId)
-        const tableEntries = tableStats.success && Array.isArray(tableStats.tables) ? tableStats.tables : []
-        const dbPathSet = new Set<string>()
-        for (const entry of tableEntries) {
-          const dbPath = String((entry as any)?.db_path || '').trim()
-          if (!dbPath) continue
-          dbPathSet.add(dbPath)
-        }
-        for (const dbPath of Array.from(dbPathSet).slice(0, 8)) {
-          sources.push({
-            kind: 'message',
-            path: dbPath,
-            label: dbPath.split(/[\\/]/).pop() || dbPath,
-            tables: await this.sqlLabListTablesForSource('message', dbPath)
-          })
-        }
-      } else {
-        const messageDbs = await this.listMessageDbs()
-        const paths = messageDbs.success && Array.isArray(messageDbs.data) ? messageDbs.data : []
-        for (const dbPath of paths.slice(0, 8)) {
-          sources.push({
-            kind: 'message',
-            path: dbPath,
-            label: dbPath.split(/[\\/]/).pop() || dbPath,
-            tables: await this.sqlLabListTablesForSource('message', dbPath)
-          })
-        }
-      }
-
-      sources.push({
-        kind: 'contact',
-        path: null,
-        label: 'contact',
-        tables: await this.sqlLabListTablesForSource('contact', null)
-      })
-      sources.push({
-        kind: 'biz',
-        path: null,
-        label: 'biz',
-        tables: await this.sqlLabListTablesForSource('biz', null)
-      })
-
-      const schemaText = sources
-        .map((source) => {
-          const tableLines = source.tables
-            .map((table) => `- ${table.name} (${table.columns.join(', ')})`)
-            .join('\n')
-          return `[${source.kind}] ${source.label}\n${tableLines}`
-        })
-        .join('\n\n')
-
-      return {
-        success: true,
-        schema: {
-          generatedAt: Date.now(),
-          sources
-        },
-        schemaText
-      }
-    } catch (e) {
-      return { success: false, error: String(e) }
-    }
-  }
-
-  async sqlLabExecuteReadonly(payload: {
-    kind: 'message' | 'contact' | 'biz'
-    path?: string | null
-    sql: string
-    limit?: number
-  }): Promise<{
-    success: boolean
-    rows?: any[]
-    columns?: string[]
-    total?: number
-    error?: string
-  }> {
-    if (!this.ensureReady()) {
-      return { success: false, error: 'WCDB 未连接' }
-    }
-
-    try {
-      const sql = String(payload?.sql || '').trim()
-      if (!this.isSqlLabReadOnly(sql)) {
-        return { success: false, error: '仅允许只读 SQL（SELECT/WITH/PRAGMA/EXPLAIN）' }
-      }
-
-      const kind = payload?.kind === 'contact' || payload?.kind === 'biz' ? payload.kind : 'message'
-      const path = kind === 'message'
-        ? (payload?.path == null ? null : String(payload.path))
-        : null
-      const limit = Math.max(1, Math.min(1000, Number(payload?.limit || 200)))
-      const sqlNoTail = sql.replace(/;+\s*$/, '')
-      const lower = sqlNoTail.toLowerCase()
-      const executable = /^(select|with)\b/.test(lower)
-        ? `SELECT * FROM (${sqlNoTail}) LIMIT ${limit}`
-        : sqlNoTail
-
-      const result = await this.execQuery(kind, path, executable)
-      if (!result.success) {
-        return { success: false, error: result.error || '执行 SQL 失败' }
-      }
-      const rows = Array.isArray(result.rows) ? result.rows : []
-      return {
-        success: true,
-        rows,
-        columns: rows[0] && typeof rows[0] === 'object' ? Object.keys(rows[0] as Record<string, unknown>) : [],
-        total: rows.length
-      }
-    } catch (e) {
-      return { success: false, error: String(e) }
-    }
-  }
-
   async execQuery(kind: string, path: string | null, sql: string, params: any[] = []): Promise<{ success: boolean; rows?: any[]; error?: string }> {
     if (!this.ensureReady()) {
       return { success: false, error: 'WCDB 未连接' }
@@ -4201,110 +3897,6 @@ export class WcdbCore {
     }
   }
 
-  async aiQuerySessionCandidates(options: {
-    keyword: string
-    limit?: number
-    beginTimestamp?: number
-    endTimestamp?: number
-  }): Promise<{ success: boolean; rows?: any[]; error?: string }> {
-    if (!this.ensureReady()) return { success: false, error: 'WCDB 未连接' }
-    if (!this.wcdbAiQuerySessionCandidates) return { success: false, error: '当前数据服务版本不支持 AI 候选会话查询' }
-    try {
-      const outPtr = [null as any]
-      const result = this.wcdbAiQuerySessionCandidates(this.handle, JSON.stringify({
-        keyword: options.keyword || '',
-        limit: options.limit || 12,
-        begin_timestamp: options.beginTimestamp || 0,
-        end_timestamp: options.endTimestamp || 0
-      }), outPtr)
-      if (result !== 0 || !outPtr[0]) return { success: false, error: `AI 候选会话查询失败: ${result}` }
-      const jsonStr = this.decodeJsonPtr(outPtr[0])
-      if (!jsonStr) return { success: false, error: '解析 AI 候选会话结果失败' }
-      const rows = JSON.parse(jsonStr)
-      return { success: true, rows: Array.isArray(rows) ? rows : [] }
-    } catch (e) {
-      return { success: false, error: String(e) }
-    }
-  }
-
-  async aiQueryTimeline(options: {
-    sessionId?: string
-    keyword: string
-    limit?: number
-    offset?: number
-    beginTimestamp?: number
-    endTimestamp?: number
-  }): Promise<{ success: boolean; rows?: any[]; error?: string }> {
-    if (!this.ensureReady()) return { success: false, error: 'WCDB 未连接' }
-    if (!this.wcdbAiQueryTimeline) return { success: false, error: '当前数据服务版本不支持 AI 时间轴查询' }
-    try {
-      const outPtr = [null as any]
-      const result = this.wcdbAiQueryTimeline(this.handle, JSON.stringify({
-        session_id: options.sessionId || '',
-        keyword: options.keyword || '',
-        limit: options.limit || 120,
-        offset: options.offset || 0,
-        begin_timestamp: options.beginTimestamp || 0,
-        end_timestamp: options.endTimestamp || 0
-      }), outPtr)
-      if (result !== 0 || !outPtr[0]) return { success: false, error: `AI 时间轴查询失败: ${result}` }
-      const jsonStr = this.decodeJsonPtr(outPtr[0])
-      if (!jsonStr) return { success: false, error: '解析 AI 时间轴结果失败' }
-      const rows = this.parseMessageJson(jsonStr)
-      return { success: true, rows }
-    } catch (e) {
-      return { success: false, error: String(e) }
-    }
-  }
-
-  async aiQueryTopicStats(options: {
-    sessionIds: string[]
-    beginTimestamp?: number
-    endTimestamp?: number
-  }): Promise<{ success: boolean; data?: any; error?: string }> {
-    if (!this.ensureReady()) return { success: false, error: 'WCDB 未连接' }
-    if (!this.wcdbAiQueryTopicStats) return { success: false, error: '当前数据服务版本不支持 AI 主题统计' }
-    try {
-      const outPtr = [null as any]
-      const result = this.wcdbAiQueryTopicStats(this.handle, JSON.stringify({
-        session_ids_json: JSON.stringify(options.sessionIds || []),
-        begin_timestamp: options.beginTimestamp || 0,
-        end_timestamp: options.endTimestamp || 0
-      }), outPtr)
-      if (result !== 0 || !outPtr[0]) return { success: false, error: `AI 主题统计失败: ${result}` }
-      const jsonStr = this.decodeJsonPtr(outPtr[0])
-      if (!jsonStr) return { success: false, error: '解析 AI 主题统计失败' }
-      const data = JSON.parse(jsonStr)
-      return { success: true, data }
-    } catch (e) {
-      return { success: false, error: String(e) }
-    }
-  }
-
-  async aiQuerySourceRefs(options: {
-    sessionIds: string[]
-    beginTimestamp?: number
-    endTimestamp?: number
-  }): Promise<{ success: boolean; data?: any; error?: string }> {
-    if (!this.ensureReady()) return { success: false, error: 'WCDB 未连接' }
-    if (!this.wcdbAiQuerySourceRefs) return { success: false, error: '当前数据服务版本不支持 AI 来源引用查询' }
-    try {
-      const outPtr = [null as any]
-      const result = this.wcdbAiQuerySourceRefs(this.handle, JSON.stringify({
-        session_ids_json: JSON.stringify(options.sessionIds || []),
-        begin_timestamp: options.beginTimestamp || 0,
-        end_timestamp: options.endTimestamp || 0
-      }), outPtr)
-      if (result !== 0 || !outPtr[0]) return { success: false, error: `AI 来源引用查询失败: ${result}` }
-      const jsonStr = this.decodeJsonPtr(outPtr[0])
-      if (!jsonStr) return { success: false, error: '解析 AI 来源引用查询失败' }
-      const data = JSON.parse(jsonStr)
-      return { success: true, data }
-    } catch (e) {
-      return { success: false, error: String(e) }
-    }
-  }
-
   async getSnsTimeline(limit: number, offset: number, usernames?: string[], keyword?: string, startTime?: number, endTime?: number): Promise<{ success: boolean; timeline?: any[]; error?: string }> {
     if (!this.ensureReady()) return { success: false, error: 'WCDB 未连接' }
     if (!this.wcdbGetSnsTimeline) return { success: false, error: '当前数据服务版本不支持获取朋友圈' }

electron/services/wcdbService.ts

@@ -448,19 +448,6 @@ export class WcdbService {
     return this.callWorker('getGroupStats', { chatroomId, beginTimestamp, endTimestamp })
   }
 
-  async getMyFootprintStats(options: {
-    beginTimestamp?: number
-    endTimestamp?: number
-    myWxid?: string
-    privateSessionIds?: string[]
-    groupSessionIds?: string[]
-    mentionLimit?: number
-    privateLimit?: number
-    mentionMode?: 'text_at_me' | string
-  }): Promise<{ success: boolean; data?: any; error?: string }> {
-    return this.callWorker('getMyFootprintStats', { options })
-  }
-
   /**
    * 打开消息游标
    */
@@ -489,44 +476,6 @@ export class WcdbService {
     return this.callWorker('closeMessageCursor', { cursor })
   }
 
-  /**
-   * SQL Lab: 获取多数据源 Schema 摘要
-   */
-  async sqlLabGetSchema(payload?: { sessionId?: string }): Promise<{
-    success: boolean
-    schema?: {
-      generatedAt: number
-      sources: Array<{
-        kind: 'message' | 'contact' | 'biz'
-        path: string | null
-        label: string
-        tables: Array<{ name: string; columns: string[] }>
-      }>
-    }
-    schemaText?: string
-    error?: string
-  }> {
-    return this.callWorker('sqlLabGetSchema', payload || {})
-  }
-
-  /**
-   * SQL Lab: 执行只读 SQL
-   */
-  async sqlLabExecuteReadonly(payload: {
-    kind: 'message' | 'contact' | 'biz'
-    path?: string | null
-    sql: string
-    limit?: number
-  }): Promise<{
-    success: boolean
-    rows?: any[]
-    columns?: string[]
-    total?: number
-    error?: string
-  }> {
-    return this.callWorker('sqlLabExecuteReadonly', payload)
-  }
-
   /**
    * 执行 SQL 查询（仅主进程内部使用：fallback/diagnostic/低频兼容）
    */
@@ -580,42 +529,6 @@ export class WcdbService {
     return this.callWorker('searchMessages', { keyword, sessionId, limit, offset, beginTimestamp, endTimestamp })
   }
 
-  async aiQuerySessionCandidates(options: {
-    keyword: string
-    limit?: number
-    beginTimestamp?: number
-    endTimestamp?: number
-  }): Promise<{ success: boolean; rows?: any[]; error?: string }> {
-    return this.callWorker('aiQuerySessionCandidates', { options })
-  }
-
-  async aiQueryTimeline(options: {
-    sessionId?: string
-    keyword: string
-    limit?: number
-    offset?: number
-    beginTimestamp?: number
-    endTimestamp?: number
-  }): Promise<{ success: boolean; rows?: any[]; error?: string }> {
-    return this.callWorker('aiQueryTimeline', { options })
-  }
-
-  async aiQueryTopicStats(options: {
-    sessionIds: string[]
-    beginTimestamp?: number
-    endTimestamp?: number
-  }): Promise<{ success: boolean; data?: any; error?: string }> {
-    return this.callWorker('aiQueryTopicStats', { options })
-  }
-
-  async aiQuerySourceRefs(options: {
-    sessionIds: string[]
-    beginTimestamp?: number
-    endTimestamp?: number
-  }): Promise<{ success: boolean; data?: any; error?: string }> {
-    return this.callWorker('aiQuerySourceRefs', { options })
-  }
-
   /**
    * 获取语音数据
    */

electron/wcdbWorker.ts

@@ -158,9 +158,6 @@ if (parentPort) {
                 case 'getGroupStats':
                     result = await core.getGroupStats(payload.chatroomId, payload.beginTimestamp, payload.endTimestamp)
                     break
-                case 'getMyFootprintStats':
-                    result = await core.getMyFootprintStats(payload.options || {})
-                    break
                 case 'openMessageCursor':
                     result = await core.openMessageCursor(payload.sessionId, payload.batchSize, payload.ascending, payload.beginTimestamp, payload.endTimestamp)
                     break
@@ -173,12 +170,6 @@ if (parentPort) {
                 case 'closeMessageCursor':
                     result = await core.closeMessageCursor(payload.cursor)
                     break
-                case 'sqlLabGetSchema':
-                    result = await core.sqlLabGetSchema(payload)
-                    break
-                case 'sqlLabExecuteReadonly':
-                    result = await core.sqlLabExecuteReadonly(payload)
-                    break
                 case 'execQuery':
                     result = await core.execQuery(payload.kind, payload.path, payload.sql, payload.params)
                     break
@@ -203,18 +194,6 @@ if (parentPort) {
                 case 'searchMessages':
                     result = await core.searchMessages(payload.keyword, payload.sessionId, payload.limit, payload.offset, payload.beginTimestamp, payload.endTimestamp)
                     break
-                case 'aiQuerySessionCandidates':
-                    result = await core.aiQuerySessionCandidates(payload.options || {})
-                    break
-                case 'aiQueryTimeline':
-                    result = await core.aiQueryTimeline(payload.options || {})
-                    break
-                case 'aiQueryTopicStats':
-                    result = await core.aiQueryTopicStats(payload.options || {})
-                    break
-                case 'aiQuerySourceRefs':
-                    result = await core.aiQuerySourceRefs(payload.options || {})
-                    break
                 case 'getVoiceData':
                     result = await core.getVoiceData(payload.sessionId, payload.createTime, payload.candidates, payload.localId, payload.svrId)
                     if (!result.success) {

electron/windows/notificationWindow.ts

@@ -115,14 +115,12 @@ export async function showNotification(data: any) {
   // 检查会话过滤
   const filterMode = config.get("notificationFilterMode") || "all";
   const filterList = config.get("notificationFilterList") || [];
-  const sessionId = typeof data.sessionId === "string" ? data.sessionId : "";
-  // 系统通知（如 "WeFlow 准备就绪"）不是聊天消息，不应受会话白/黑名单影响
-  const isSystemNotification = sessionId.startsWith("weflow-");
+  const sessionId = data.sessionId;
 
-  if (!isSystemNotification && filterMode !== "all") {
-    const isInList = sessionId !== "" && filterList.includes(sessionId);
+  if (sessionId && filterMode !== "all" && filterList.length > 0) {
+    const isInList = filterList.includes(sessionId);
     if (filterMode === "whitelist" && !isInList) {
-      // 白名单模式：不在列表中则不显示（空列表视为全部拦截）
+      // 白名单模式：不在列表中则不显示
       return;
     }
     if (filterMode === "blacklist" && isInList) {

package-lock.json

@@ -23,7 +23,7 @@
         "koffi": "^2.9.0",
         "lucide-react": "^1.7.0",
         "react": "^19.2.3",
-        "react-dom": "^19.2.3",
+        "react-dom": "^19.2.5",
         "react-markdown": "^10.1.0",
         "react-router-dom": "^7.14.0",
         "react-virtuoso": "^4.18.1",
@@ -8470,24 +8470,24 @@
       }
     },
     "node_modules/react": {
-      "version": "19.2.4",
-      "resolved": "https://registry.npmjs.org/react/-/react-19.2.4.tgz",
-      "integrity": "sha512-9nfp2hYpCwOjAN+8TZFGhtWEwgvWHXqESH8qT89AT/lWklpLON22Lc8pEtnpsZz7VmawabSU0gCjnj8aC0euHQ==",
+      "version": "19.2.5",
+      "resolved": "https://registry.npmjs.org/react/-/react-19.2.5.tgz",
+      "integrity": "sha512-llUJLzz1zTUBrskt2pwZgLq59AemifIftw4aB7JxOqf1HY2FDaGDxgwpAPVzHU1kdWabH7FauP4i1oEeer2WCA==",
       "license": "MIT",
       "engines": {
         "node": ">=0.10.0"
       }
     },
     "node_modules/react-dom": {
-      "version": "19.2.4",
-      "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-19.2.4.tgz",
-      "integrity": "sha512-AXJdLo8kgMbimY95O2aKQqsz2iWi9jMgKJhRBAxECE4IFxfcazB2LmzloIoibJI3C12IlY20+KFaLv+71bUJeQ==",
+      "version": "19.2.5",
+      "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-19.2.5.tgz",
+      "integrity": "sha512-J5bAZz+DXMMwW/wV3xzKke59Af6CHY7G4uYLN1OvBcKEsWOs4pQExj86BBKamxl/Ik5bx9whOrvBlSDfWzgSag==",
       "license": "MIT",
       "dependencies": {
         "scheduler": "^0.27.0"
       },
       "peerDependencies": {
-        "react": "^19.2.4"
+        "react": "^19.2.5"
       }
     },
     "node_modules/react-markdown": {

package.json

@@ -37,7 +37,7 @@
     "koffi": "^2.9.0",
     "lucide-react": "^1.7.0",
     "react": "^19.2.3",
-    "react-dom": "^19.2.3",
+    "react-dom": "^19.2.5",
     "react-markdown": "^10.1.0",
     "react-router-dom": "^7.14.0",
     "react-virtuoso": "^4.18.1",

src/App.tsx

@@ -6,7 +6,6 @@ import RouteGuard from './components/RouteGuard'
 import WelcomePage from './pages/WelcomePage'
 import HomePage from './pages/HomePage'
 import ChatPage from './pages/ChatPage'
-import AiAnalysisPage from './pages/AiAnalysisPage'
 import AnalyticsPage from './pages/AnalyticsPage'
 import AnalyticsWelcomePage from './pages/AnalyticsWelcomePage'
 import ChatAnalyticsHubPage from './pages/ChatAnalyticsHubPage'
@@ -18,7 +17,6 @@ import AgreementPage from './pages/AgreementPage'
 import GroupAnalyticsPage from './pages/GroupAnalyticsPage'
 import SettingsPage from './pages/SettingsPage'
 import ExportPage from './pages/ExportPage'
-import MyFootprintPage from './pages/MyFootprintPage'
 import VideoWindow from './pages/VideoWindow'
 import ImageWindow from './pages/ImageWindow'
 import SnsPage from './pages/SnsPage'
@@ -680,7 +678,6 @@ function App() {
               <Route path="/" element={<HomePage />} />
               <Route path="/home" element={<HomePage />} />
               <Route path="/chat" element={<ChatPage />} />
-              <Route path="/ai-analysis" element={<AiAnalysisPage />} />
 
               <Route path="/analytics" element={<ChatAnalyticsHubPage />} />
               <Route path="/analytics/private" element={<AnalyticsWelcomePage />} />
@@ -692,7 +689,6 @@ function App() {
               <Route path="/annual-report/view" element={<AnnualReportWindow />} />
               <Route path="/dual-report" element={<DualReportPage />} />
               <Route path="/dual-report/view" element={<DualReportWindow />} />
-              <Route path="/footprint" element={<MyFootprintPage />} />
 
               <Route path="/export" element={<div className="export-route-anchor" aria-hidden="true" />} />
               <Route path="/sns" element={<SnsPage />} />

src/components/DateRangePicker.scss

@@ -54,11 +54,10 @@
     position: absolute;
     top: calc(100% + 8px);
     right: 0;
-    background: var(--bg-secondary-solid, var(--bg-primary, var(--card-bg)));
+    background: var(--card-bg);
     border-radius: 16px;
-    box-shadow: 0 8px 32px rgba(0, 0, 0, 0.25);
-    backdrop-filter: none;
-    -webkit-backdrop-filter: none;
+    box-shadow: 0 8px 32px rgba(0, 0, 0, 0.15);
+    backdrop-filter: blur(20px);
     border: 1px solid var(--border-color);
     z-index: 1000;
     display: flex;

src/components/DateRangePicker.tsx

@@ -29,20 +29,6 @@ function DateRangePicker({ startDate, endDate, onStartDateChange, onEndDateChang
   const [showYearMonthPicker, setShowYearMonthPicker] = useState(false)
   const containerRef = useRef<HTMLDivElement>(null)
 
-  const [internalStart, setInternalStart] = useState(startDate)
-  const [internalEnd, setInternalEnd] = useState(endDate)
-
-  useEffect(() => {
-    setInternalStart(startDate)
-    setInternalEnd(endDate)
-  }, [startDate, endDate])
-
-  useEffect(() => {
-    if (isOpen) {
-      setSelectingStart(true)
-    }
-  }, [isOpen])
-
   // 点击外部关闭
   useEffect(() => {
     const handleClickOutside = (e: MouseEvent) => {
@@ -77,10 +63,8 @@ function DateRangePicker({ startDate, endDate, onStartDateChange, onEndDateChang
       const end = new Date()
       const start = new Date()
       start.setDate(start.getDate() - days)
-      const startStr = `${start.getFullYear()}-${String(start.getMonth() + 1).padStart(2, '0')}-${String(start.getDate()).padStart(2, '0')}`
-      const endStr = `${end.getFullYear()}-${String(end.getMonth() + 1).padStart(2, '0')}-${String(end.getDate()).padStart(2, '0')}`
-      onStartDateChange(startStr)
-      onEndDateChange(endStr)
+      onStartDateChange(start.toISOString().split('T')[0])
+      onEndDateChange(end.toISOString().split('T')[0])
     }
     setIsOpen(false)
     setTimeout(() => onRangeComplete?.(), 0)
@@ -105,46 +89,38 @@ function DateRangePicker({ startDate, endDate, onStartDateChange, onEndDateChang
     const dateStr = `${currentMonth.getFullYear()}-${String(currentMonth.getMonth() + 1).padStart(2, '0')}-${String(day).padStart(2, '0')}`
 
     if (selectingStart) {
-      setInternalStart(dateStr)
-      if (internalEnd && dateStr > internalEnd) {
-        setInternalEnd('')
+      onStartDateChange(dateStr)
+      if (endDate && dateStr > endDate) {
+        onEndDateChange('')
       }
       setSelectingStart(false)
     } else {
-      let finalStart = internalStart
-      let finalEnd = dateStr
-      
-      if (dateStr < internalStart) {
-        finalStart = dateStr
-        finalEnd = internalStart
+      if (dateStr < startDate) {
+        onStartDateChange(dateStr)
+        onEndDateChange(startDate)
+      } else {
+        onEndDateChange(dateStr)
       }
-      
-      setInternalStart(finalStart)
-      setInternalEnd(finalEnd)
-      
       setSelectingStart(true)
       setIsOpen(false)
-      
-      onStartDateChange(finalStart)
-      onEndDateChange(finalEnd)
       setTimeout(() => onRangeComplete?.(), 0)
     }
   }
 
   const isInRange = (day: number) => {
-    if (!internalStart || !internalEnd) return false
+    if (!startDate || !endDate) return false
     const dateStr = `${currentMonth.getFullYear()}-${String(currentMonth.getMonth() + 1).padStart(2, '0')}-${String(day).padStart(2, '0')}`
-    return dateStr >= internalStart && dateStr <= internalEnd
+    return dateStr >= startDate && dateStr <= endDate
   }
 
   const isStartDate = (day: number) => {
     const dateStr = `${currentMonth.getFullYear()}-${String(currentMonth.getMonth() + 1).padStart(2, '0')}-${String(day).padStart(2, '0')}`
-    return dateStr === internalStart
+    return dateStr === startDate
   }
 
   const isEndDate = (day: number) => {
     const dateStr = `${currentMonth.getFullYear()}-${String(currentMonth.getMonth() + 1).padStart(2, '0')}-${String(day).padStart(2, '0')}`
-    return dateStr === internalEnd
+    return dateStr === endDate
   }
 
   const isToday = (day: number) => {

src/components/Sidebar.tsx

@@ -1,6 +1,6 @@
 import { useState, useEffect, useRef } from 'react'
 import { NavLink, useLocation, useNavigate } from 'react-router-dom'
-import { Home, MessageSquare, BarChart3, FileText, Settings, Download, Aperture, UserCircle, Lock, LockOpen, ChevronUp, RefreshCw, FolderClosed, Footprints, Sparkles } from 'lucide-react'
+import { Home, MessageSquare, BarChart3, FileText, Settings, Download, Aperture, UserCircle, Lock, LockOpen, ChevronUp, RefreshCw, FolderClosed } from 'lucide-react'
 import { useAppStore } from '../stores/appStore'
 import { useChatStore } from '../stores/chatStore'
 import { useAnalyticsStore } from '../stores/analyticsStore'
@@ -409,16 +409,6 @@ function Sidebar({ collapsed }: SidebarProps) {
             <span className="nav-label">聊天</span>
           </NavLink>
 
-          {/* AI分析 */}
-          <NavLink
-            to="/ai-analysis"
-            className={`nav-item ${isActive('/ai-analysis') ? 'active' : ''}`}
-            title={collapsed ? 'AI分析' : undefined}
-          >
-            <span className="nav-icon"><Sparkles size={20} /></span>
-            <span className="nav-label">AI分析</span>
-          </NavLink>
-
           {/* 朋友圈 */}
           <NavLink
             to="/sns"
@@ -469,16 +459,6 @@ function Sidebar({ collapsed }: SidebarProps) {
             <span className="nav-label">年度报告</span>
           </NavLink>
 
-          {/* 我的足迹 */}
-          <NavLink
-            to="/footprint"
-            className={`nav-item ${isActive('/footprint') ? 'active' : ''}`}
-            title={collapsed ? '我的足迹' : undefined}
-          >
-            <span className="nav-icon"><Footprints size={20} /></span>
-            <span className="nav-label">我的足迹</span>
-          </NavLink>
-
           {/* 导出 */}
           <NavLink
             to="/export"

src/pages/AiAnalysisPage.scss

@@ -1,680 +0,0 @@
-.ai-analysis-v2 {
-  --ai-surface: color-mix(in srgb, var(--card-bg) 92%, #ffffff 8%);
-  --ai-surface-soft: color-mix(in srgb, var(--card-bg) 86%, #cbd5e1 14%);
-  --ai-border: color-mix(in srgb, var(--border-color) 85%, #94a3b8 15%);
-  --ai-accent: #0f766e;
-  --ai-accent-soft: color-mix(in srgb, #0f766e 16%, transparent);
-
-  height: 100%;
-  min-height: 0;
-  display: grid;
-  grid-template-rows: auto minmax(0, 1fr);
-  gap: 12px;
-  padding: 16px;
-  background:
-    radial-gradient(1200px 380px at 8% -15%, color-mix(in srgb, #22c55e 20%, transparent), transparent 70%),
-    radial-gradient(1000px 320px at 96% -10%, color-mix(in srgb, #06b6d4 15%, transparent), transparent 68%),
-    var(--bg-primary);
-}
-
-.ai-header {
-  border: 1px solid var(--ai-border);
-  border-radius: 16px;
-  background: var(--ai-surface);
-  padding: 12px 14px;
-  display: flex;
-  align-items: center;
-  justify-content: space-between;
-  gap: 12px;
-
-  .left {
-    display: flex;
-    align-items: center;
-    gap: 8px;
-    min-width: 0;
-
-    h1 {
-      margin: 0;
-      font-size: 16px;
-    }
-
-    span {
-      color: var(--text-secondary);
-      font-size: 12px;
-      white-space: nowrap;
-      overflow: hidden;
-      text-overflow: ellipsis;
-    }
-  }
-
-  .tabs {
-    display: flex;
-    align-items: center;
-    gap: 6px;
-
-    button {
-      border: 1px solid var(--ai-border);
-      background: color-mix(in srgb, var(--text-primary) 4%, transparent);
-      color: var(--text-secondary);
-      border-radius: 10px;
-      padding: 6px 10px;
-      display: inline-flex;
-      align-items: center;
-      gap: 6px;
-      cursor: pointer;
-      font-size: 12px;
-    }
-
-    .active {
-      background: var(--ai-accent-soft);
-      color: var(--text-primary);
-      border-color: color-mix(in srgb, var(--ai-accent) 58%, transparent);
-    }
-  }
-}
-
-.chat-layout,
-.sql-layout,
-.tool-layout {
-  min-height: 0;
-  display: grid;
-  gap: 12px;
-}
-
-.chat-layout {
-  grid-template-columns: 300px minmax(0, 1fr);
-}
-
-.conversation-panel,
-.chat-main,
-.schema-panel,
-.sql-main,
-.tool-catalog,
-.tool-main {
-  border: 1px solid var(--ai-border);
-  border-radius: 16px;
-  background: var(--ai-surface);
-  min-height: 0;
-}
-
-.panel-head {
-  padding: 10px 12px;
-  border-bottom: 1px solid var(--ai-border);
-  display: flex;
-  align-items: center;
-  justify-content: space-between;
-
-  h3 {
-    margin: 0;
-    font-size: 14px;
-  }
-
-  button {
-    width: 28px;
-    height: 28px;
-    border-radius: 9px;
-    border: 1px solid var(--ai-border);
-    background: color-mix(in srgb, var(--text-primary) 4%, transparent);
-    color: var(--text-secondary);
-    cursor: pointer;
-  }
-}
-
-.conversation-list {
-  padding: 10px;
-  display: flex;
-  flex-direction: column;
-  gap: 8px;
-  overflow: auto;
-  max-height: 100%;
-}
-
-.conversation-item {
-  border: 1px solid transparent;
-  border-radius: 12px;
-  padding: 10px;
-  background: color-mix(in srgb, var(--text-primary) 2%, transparent);
-  text-align: left;
-  cursor: pointer;
-  color: var(--text-primary);
-
-  .main {
-    display: grid;
-    gap: 4px;
-  }
-
-  strong {
-    font-size: 13px;
-  }
-
-  small {
-    font-size: 11px;
-    color: var(--text-tertiary);
-  }
-
-  .ops {
-    margin-top: 8px;
-    display: flex;
-    gap: 10px;
-    color: var(--text-secondary);
-    font-size: 12px;
-
-    span {
-      cursor: pointer;
-      display: inline-flex;
-      align-items: center;
-      gap: 4px;
-    }
-  }
-}
-
-.conversation-item.active {
-  border-color: color-mix(in srgb, var(--ai-accent) 52%, transparent);
-  background: color-mix(in srgb, var(--ai-accent) 10%, transparent);
-}
-
-.chat-main {
-  display: grid;
-  grid-template-rows: auto minmax(0, 1fr) auto auto;
-}
-
-.chat-toolbar {
-  border-bottom: 1px solid var(--ai-border);
-  padding: 10px 12px;
-  display: grid;
-  gap: 8px;
-
-  .row {
-    display: flex;
-    flex-wrap: wrap;
-    align-items: center;
-    gap: 8px;
-  }
-
-  label {
-    font-size: 12px;
-    color: var(--text-secondary);
-  }
-
-  select,
-  input {
-    border: 1px solid var(--ai-border);
-    background: var(--ai-surface-soft);
-    color: var(--text-primary);
-    border-radius: 8px;
-    padding: 6px 8px;
-    font-size: 12px;
-    min-width: 120px;
-  }
-}
-
-.preset-row {
-  display: flex;
-  flex-wrap: wrap;
-  gap: 6px;
-
-  button {
-    border: 1px solid var(--ai-border);
-    background: color-mix(in srgb, var(--ai-accent) 8%, transparent);
-    color: var(--text-secondary);
-    border-radius: 999px;
-    padding: 4px 10px;
-    font-size: 12px;
-    cursor: pointer;
-  }
-}
-
-.message-panel {
-  min-height: 0;
-  overflow: hidden;
-}
-
-.message-list {
-  height: 100%;
-  overflow: auto;
-  padding: 12px;
-  display: flex;
-  flex-direction: column;
-  gap: 10px;
-}
-
-.msg {
-  border: 1px solid var(--ai-border);
-  border-radius: 12px;
-  background: color-mix(in srgb, var(--text-primary) 2%, transparent);
-  padding: 10px;
-
-  .head {
-    font-size: 12px;
-    color: var(--text-secondary);
-  }
-
-  .body {
-    margin-top: 6px;
-    font-size: 13px;
-    line-height: 1.65;
-    white-space: pre-wrap;
-    word-break: break-word;
-  }
-}
-
-.msg.user {
-  background: color-mix(in srgb, #0f766e 14%, transparent);
-}
-
-.runtime-cards {
-  display: grid;
-  gap: 6px;
-}
-
-.chunk {
-  border: 1px dashed var(--ai-border);
-  border-radius: 10px;
-  padding: 8px;
-  font-size: 12px;
-  color: var(--text-secondary);
-
-  strong {
-    margin-right: 8px;
-  }
-
-  pre {
-    margin: 6px 0 0;
-    white-space: pre-wrap;
-    font-size: 12px;
-  }
-
-  .err {
-    color: #dc2626;
-  }
-}
-
-.footer-actions {
-  border-top: 1px solid var(--ai-border);
-  padding: 8px 12px;
-  display: flex;
-  gap: 8px;
-
-  .ghost {
-    border: 1px solid var(--ai-border);
-    background: color-mix(in srgb, var(--text-primary) 4%, transparent);
-    color: var(--text-secondary);
-    border-radius: 9px;
-    padding: 6px 10px;
-    display: inline-flex;
-    align-items: center;
-    gap: 6px;
-    cursor: pointer;
-    font-size: 12px;
-  }
-}
-
-.input-panel {
-  border-top: 1px solid var(--ai-border);
-  padding: 10px 12px;
-  display: grid;
-  gap: 8px;
-
-  textarea {
-    width: 100%;
-    min-height: 80px;
-    border: 1px solid var(--ai-border);
-    border-radius: 10px;
-    background: var(--ai-surface-soft);
-    color: var(--text-primary);
-    padding: 10px;
-    resize: vertical;
-  }
-}
-
-.suggestions {
-  display: flex;
-  flex-wrap: wrap;
-  gap: 6px;
-
-  button {
-    border: 1px solid var(--ai-border);
-    border-radius: 999px;
-    background: color-mix(in srgb, var(--text-primary) 4%, transparent);
-    color: var(--text-secondary);
-    padding: 4px 10px;
-    font-size: 12px;
-    cursor: pointer;
-  }
-}
-
-.input-actions {
-  display: flex;
-  gap: 8px;
-
-  button {
-    border-radius: 9px;
-    border: 1px solid var(--ai-border);
-    padding: 7px 12px;
-    display: inline-flex;
-    align-items: center;
-    gap: 6px;
-    cursor: pointer;
-    font-size: 12px;
-  }
-
-  .primary {
-    background: color-mix(in srgb, var(--ai-accent) 18%, transparent);
-    color: var(--text-primary);
-    border-color: color-mix(in srgb, var(--ai-accent) 52%, transparent);
-  }
-
-  .danger {
-    background: color-mix(in srgb, #ef4444 12%, transparent);
-    color: var(--text-primary);
-    border-color: color-mix(in srgb, #ef4444 45%, transparent);
-  }
-}
-
-.sql-layout {
-  grid-template-columns: 300px minmax(0, 1fr);
-}
-
-.schema-panel {
-  display: grid;
-  grid-template-rows: auto minmax(0, 1fr);
-}
-
-.schema-list {
-  overflow: auto;
-  padding: 10px;
-  display: grid;
-  gap: 10px;
-}
-
-.schema-source {
-  border: 1px solid var(--ai-border);
-  border-radius: 12px;
-  padding: 8px;
-
-  h4 {
-    margin: 0 0 8px;
-    font-size: 12px;
-  }
-
-  ul {
-    margin: 0;
-    padding: 0;
-    list-style: none;
-    display: grid;
-    gap: 8px;
-  }
-
-  li {
-    display: grid;
-    gap: 4px;
-    font-size: 12px;
-  }
-
-  small {
-    color: var(--text-tertiary);
-  }
-}
-
-.sql-main {
-  min-height: 0;
-  display: grid;
-  grid-template-rows: auto auto auto minmax(0, 1fr) auto;
-  gap: 8px;
-  padding: 12px;
-}
-
-.sql-bar {
-  display: flex;
-  align-items: center;
-  gap: 8px;
-  flex-wrap: wrap;
-
-  select,
-  button {
-    border: 1px solid var(--ai-border);
-    border-radius: 9px;
-    background: color-mix(in srgb, var(--text-primary) 4%, transparent);
-    color: var(--text-secondary);
-    padding: 6px 10px;
-    font-size: 12px;
-  }
-
-  button {
-    cursor: pointer;
-    display: inline-flex;
-    align-items: center;
-    gap: 6px;
-  }
-}
-
-.sql-prompt,
-.sql-generated,
-.tool-args {
-  width: 100%;
-  border: 1px solid var(--ai-border);
-  border-radius: 10px;
-  background: var(--ai-surface-soft);
-  color: var(--text-primary);
-  padding: 10px;
-  font-size: 12px;
-  min-height: 90px;
-  resize: vertical;
-}
-
-.sql-generated {
-  min-height: 120px;
-  font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;
-}
-
-.sql-table-wrap {
-  min-height: 0;
-  overflow: auto;
-  border: 1px solid var(--ai-border);
-  border-radius: 12px;
-}
-
-.sql-table {
-  width: 100%;
-  border-collapse: collapse;
-
-  th,
-  td {
-    border-bottom: 1px solid var(--ai-border);
-    border-right: 1px solid var(--ai-border);
-    padding: 7px 8px;
-    font-size: 12px;
-    text-align: left;
-    white-space: nowrap;
-  }
-
-  th {
-    cursor: pointer;
-    background: color-mix(in srgb, var(--text-primary) 5%, transparent);
-  }
-}
-
-.pager {
-  display: flex;
-  align-items: center;
-  justify-content: flex-end;
-  gap: 8px;
-  padding: 8px;
-
-  button {
-    border: 1px solid var(--ai-border);
-    background: color-mix(in srgb, var(--text-primary) 4%, transparent);
-    color: var(--text-secondary);
-    border-radius: 8px;
-    padding: 4px 8px;
-    font-size: 12px;
-    cursor: pointer;
-  }
-}
-
-.sql-history {
-  border-top: 1px solid var(--ai-border);
-  padding-top: 8px;
-
-  h4 {
-    margin: 0 0 8px;
-    font-size: 13px;
-  }
-}
-
-.history-list {
-  display: flex;
-  flex-wrap: wrap;
-  gap: 6px;
-
-  button {
-    border: 1px solid var(--ai-border);
-    background: color-mix(in srgb, var(--text-primary) 4%, transparent);
-    color: var(--text-secondary);
-    border-radius: 8px;
-    padding: 5px 8px;
-    font-size: 12px;
-    cursor: pointer;
-    max-width: 100%;
-    text-align: left;
-  }
-}
-
-.tool-layout {
-  grid-template-columns: 320px minmax(0, 1fr);
-}
-
-.tool-catalog {
-  padding: 12px;
-  overflow: auto;
-
-  h3,
-  h4 {
-    margin: 0 0 8px;
-  }
-
-  h4 {
-    margin-top: 14px;
-    font-size: 12px;
-    color: var(--text-secondary);
-  }
-}
-
-.tool-list {
-  display: grid;
-  gap: 6px;
-
-  button {
-    border: 1px solid var(--ai-border);
-    border-radius: 8px;
-    padding: 7px 8px;
-    background: color-mix(in srgb, var(--text-primary) 3%, transparent);
-    color: var(--text-secondary);
-    text-align: left;
-    font-size: 12px;
-    cursor: pointer;
-  }
-
-  .active {
-    border-color: color-mix(in srgb, var(--ai-accent) 52%, transparent);
-    background: color-mix(in srgb, var(--ai-accent) 12%, transparent);
-    color: var(--text-primary);
-  }
-}
-
-.tool-main {
-  display: grid;
-  grid-template-rows: auto auto minmax(0, 1fr);
-  gap: 8px;
-  padding: 12px;
-}
-
-.tool-top {
-  display: flex;
-  justify-content: space-between;
-  gap: 12px;
-
-  h3 {
-    margin: 0 0 6px;
-    font-size: 14px;
-  }
-
-  p {
-    margin: 0;
-    font-size: 12px;
-    color: var(--text-secondary);
-  }
-}
-
-.actions {
-  display: flex;
-  gap: 8px;
-
-  button {
-    border: 1px solid var(--ai-border);
-    border-radius: 8px;
-    background: color-mix(in srgb, var(--text-primary) 4%, transparent);
-    color: var(--text-secondary);
-    padding: 6px 9px;
-    font-size: 12px;
-    display: inline-flex;
-    align-items: center;
-    gap: 6px;
-    cursor: pointer;
-  }
-}
-
-.tool-output {
-  margin: 0;
-  border: 1px solid var(--ai-border);
-  border-radius: 10px;
-  background: var(--ai-surface-soft);
-  padding: 10px;
-  min-height: 160px;
-  overflow: auto;
-  white-space: pre-wrap;
-  font-size: 12px;
-}
-
-.empty {
-  padding: 14px;
-  color: var(--text-secondary);
-  font-size: 12px;
-  display: inline-flex;
-  align-items: center;
-  gap: 6px;
-}
-
-.error,
-.global-error {
-  border: 1px solid color-mix(in srgb, #dc2626 55%, transparent);
-  background: color-mix(in srgb, #dc2626 12%, transparent);
-  color: color-mix(in srgb, #dc2626 85%, #111827 15%);
-  border-radius: 10px;
-  padding: 8px 10px;
-  font-size: 12px;
-}
-
-.spin {
-  animation: ai-spin 1s linear infinite;
-}
-
-@keyframes ai-spin {
-  from { transform: rotate(0deg); }
-  to { transform: rotate(360deg); }
-}
-
-@media (max-width: 1100px) {
-  .chat-layout,
-  .sql-layout,
-  .tool-layout {
-    grid-template-columns: minmax(0, 1fr);
-  }
-
-  .conversation-panel,
-  .schema-panel,
-  .tool-catalog {
-    max-height: 260px;
-  }
-}
-

src/pages/AiAnalysisPage.tsx

@@ -1,881 +0,0 @@
-import { useCallback, useEffect, useMemo, useRef, useState } from 'react'
-import {
-  Bot,
-  Braces,
-  CircleStop,
-  Database,
-  Download,
-  Loader2,
-  Play,
-  RefreshCw,
-  Search,
-  Send,
-  Sparkles,
-  SquareTerminal,
-  Trash2,
-  Wrench
-} from 'lucide-react'
-import type {
-  AiConversation,
-  AiMessageRecord,
-  AssistantSummary,
-  SkillSummary,
-  SqlResultPayload,
-  SqlSchemaPayload,
-  ToolCatalogEntry
-} from '../types/aiAnalysis'
-import { useAiRuntimeStore } from '../stores/aiRuntimeStore'
-import type { AgentStreamChunk } from '../types/electron'
-import './AiAnalysisPage.scss'
-
-type MainTab = 'chat' | 'sql' | 'tool'
-type ScopeMode = 'global' | 'contact' | 'session'
-
-function formatDateTime(ts: number): string {
-  if (!ts) return '--'
-  const d = new Date(ts)
-  const y = d.getFullYear()
-  const m = `${d.getMonth() + 1}`.padStart(2, '0')
-  const day = `${d.getDate()}`.padStart(2, '0')
-  const hh = `${d.getHours()}`.padStart(2, '0')
-  const mm = `${d.getMinutes()}`.padStart(2, '0')
-  return `${y}-${m}-${day} ${hh}:${mm}`
-}
-
-function normalizeText(value: unknown, fallback = ''): string {
-  const text = String(value ?? '').trim()
-  return text || fallback
-}
-
-function extractSqlTarget(schema: SqlSchemaPayload | null, key: string): { kind: 'message' | 'contact' | 'biz'; path: string | null } | null {
-  if (!schema) return null
-  for (const source of schema.sources) {
-    const sourceKey = `${source.kind}:${source.path || ''}`
-    if (sourceKey === key) return { kind: source.kind, path: source.path }
-  }
-  return null
-}
-
-function toCsv(rows: Record<string, unknown>[], columns: string[]): string {
-  const esc = (value: unknown) => {
-    const text = String(value ?? '')
-    if (/[",\n\r]/.test(text)) return `"${text.replace(/"/g, '""')}"`
-    return text
-  }
-  const header = columns.map((column) => esc(column)).join(',')
-  const body = rows.map((row) => columns.map((column) => esc(row[column])).join(',')).join('\n')
-  return `${header}\n${body}`
-}
-
-function AiAnalysisPage() {
-  const aiApi = window.electronAPI.aiApi
-  const agentApi = window.electronAPI.agentApi
-  const assistantApi = window.electronAPI.assistantApi
-  const skillApi = window.electronAPI.skillApi
-  const [activeTab, setActiveTab] = useState<MainTab>('chat')
-  const [scopeMode, setScopeMode] = useState<ScopeMode>('global')
-  const [scopeTarget, setScopeTarget] = useState('')
-  const [conversations, setConversations] = useState<AiConversation[]>([])
-  const [currentConversationId, setCurrentConversationId] = useState('')
-  const [messages, setMessages] = useState<AiMessageRecord[]>([])
-  const [assistants, setAssistants] = useState<AssistantSummary[]>([])
-  const [selectedAssistantId, setSelectedAssistantId] = useState('general_cn')
-  const [skills, setSkills] = useState<SkillSummary[]>([])
-  const [selectedSkillId, setSelectedSkillId] = useState('')
-  const [contacts, setContacts] = useState<Array<{ username: string; displayName: string }>>([])
-  const [input, setInput] = useState('')
-  const [loadingConversations, setLoadingConversations] = useState(false)
-  const [loadingMessages, setLoadingMessages] = useState(false)
-  const [errorText, setErrorText] = useState('')
-
-  const [sqlPrompt, setSqlPrompt] = useState('')
-  const [sqlGenerated, setSqlGenerated] = useState('')
-  const [sqlGenerating, setSqlGenerating] = useState(false)
-  const [sqlSchema, setSqlSchema] = useState<SqlSchemaPayload | null>(null)
-  const [sqlSchemaText, setSqlSchemaText] = useState('')
-  const [sqlTargetKey, setSqlTargetKey] = useState('message:')
-  const [sqlResult, setSqlResult] = useState<SqlResultPayload | null>(null)
-  const [sqlError, setSqlError] = useState('')
-  const [sqlHistory, setSqlHistory] = useState<string[]>([])
-  const [sqlSortBy, setSqlSortBy] = useState('')
-  const [sqlSortOrder, setSqlSortOrder] = useState<'asc' | 'desc'>('asc')
-  const [sqlPage, setSqlPage] = useState(1)
-  const [sqlPageSize] = useState(50)
-
-  const [toolCatalog, setToolCatalog] = useState<ToolCatalogEntry[]>([])
-  const [toolName, setToolName] = useState('')
-  const [toolArgsText, setToolArgsText] = useState('{}')
-  const [toolRunning, setToolRunning] = useState(false)
-  const [toolOutput, setToolOutput] = useState('')
-
-  const sqlRunIdRef = useRef('')
-  const sqlGeneratedRef = useRef('')
-  const messageEndRef = useRef<HTMLDivElement | null>(null)
-
-  const activeRunId = useAiRuntimeStore((state) => state.activeRunId)
-  const runtimeState = useAiRuntimeStore((state) => (
-    currentConversationId ? state.states[currentConversationId] : undefined
-  ))
-  const startRun = useAiRuntimeStore((state) => state.startRun)
-  const appendChunk = useAiRuntimeStore((state) => state.appendChunk)
-  const finishRun = useAiRuntimeStore((state) => state.finishRun)
-
-  const selectedAssistant = useMemo(
-    () => assistants.find((assistant) => assistant.id === selectedAssistantId) || null,
-    [assistants, selectedAssistantId]
-  )
-
-  const slashSuggestions = useMemo(() => {
-    const text = normalizeText(input)
-    if (!text.startsWith('/')) return []
-    const key = text.slice(1).toLowerCase()
-    return skills.filter((skill) => !key || skill.id.includes(key) || skill.name.toLowerCase().includes(key)).slice(0, 8)
-  }, [input, skills])
-
-  const mentionSuggestions = useMemo(() => {
-    const match = input.match(/@([^\s@]*)$/)
-    if (!match) return []
-    const keyword = match[1].toLowerCase()
-    return contacts
-      .filter((contact) => !keyword || contact.displayName.toLowerCase().includes(keyword) || contact.username.toLowerCase().includes(keyword))
-      .slice(0, 8)
-  }, [contacts, input])
-
-  const sqlTargetOptions = useMemo(() => {
-    if (!sqlSchema) return []
-    return sqlSchema.sources.map((source) => ({
-      key: `${source.kind}:${source.path || ''}`,
-      label: `[${source.kind}] ${source.label}`
-    }))
-  }, [sqlSchema])
-
-  const sqlSortedRows = useMemo(() => {
-    const rows = sqlResult?.rows || []
-    if (!sqlSortBy) return rows
-    const copied = [...rows]
-    copied.sort((a, b) => {
-      const left = String(a[sqlSortBy] ?? '')
-      const right = String(b[sqlSortBy] ?? '')
-      if (left === right) return 0
-      return sqlSortOrder === 'asc' ? (left > right ? 1 : -1) : (left > right ? -1 : 1)
-    })
-    return copied
-  }, [sqlResult, sqlSortBy, sqlSortOrder])
-
-  const sqlPagedRows = useMemo(() => {
-    const start = (sqlPage - 1) * sqlPageSize
-    return sqlSortedRows.slice(start, start + sqlPageSize)
-  }, [sqlPage, sqlPageSize, sqlSortedRows])
-
-  const loadConversations = useCallback(async () => {
-    setLoadingConversations(true)
-    try {
-      const res = await aiApi.listConversations({ page: 1, pageSize: 200 })
-      if (!res.success) {
-        setErrorText(res.error || '加载会话失败')
-        return
-      }
-      const list = res.conversations || []
-      setConversations(list)
-      if (!currentConversationId && list.length > 0) setCurrentConversationId(list[0].conversationId)
-    } finally {
-      setLoadingConversations(false)
-    }
-  }, [aiApi, currentConversationId])
-
-  const loadMessages = useCallback(async (conversationId: string) => {
-    if (!conversationId) return
-    setLoadingMessages(true)
-    try {
-      const res = await aiApi.listMessages({ conversationId, limit: 1200 })
-      if (!res.success) {
-        setErrorText(res.error || '加载消息失败')
-        return
-      }
-      setMessages((res.messages || []).filter((message) => normalizeText(message.role) !== 'tool'))
-    } finally {
-      setLoadingMessages(false)
-    }
-  }, [aiApi])
-
-  const loadAssistantsAndSkills = useCallback(async () => {
-    try {
-      const [assistantList, skillList] = await Promise.all([
-        assistantApi.getAll(),
-        skillApi.getAll()
-      ])
-      setAssistants(assistantList || [])
-      setSkills(skillList || [])
-      if (assistantList && assistantList.length > 0 && !assistantList.some((item) => item.id === selectedAssistantId)) {
-        setSelectedAssistantId(assistantList[0].id)
-      }
-    } catch (error) {
-      setErrorText(String((error as Error)?.message || error))
-    }
-  }, [assistantApi, skillApi, selectedAssistantId])
-
-  const loadContacts = useCallback(async () => {
-    try {
-      const res = await window.electronAPI.chat.getContacts({ lite: true })
-      if (!res.success || !res.contacts) return
-      const list = res.contacts
-        .map((contact) => ({
-          username: normalizeText(contact.username),
-          displayName: normalizeText(contact.displayName || contact.remark || contact.nickname || contact.username)
-        }))
-        .filter((contact) => contact.username && contact.displayName)
-        .slice(0, 300)
-      setContacts(list)
-    } catch {
-      // ignore
-    }
-  }, [])
-
-  const loadToolCatalog = useCallback(async () => {
-    try {
-      const catalog = await aiApi.getToolCatalog()
-      setToolCatalog(Array.isArray(catalog) ? catalog : [])
-      if (!toolName && Array.isArray(catalog) && catalog.length > 0) {
-        setToolName(catalog[0].name)
-      }
-    } catch (error) {
-      setErrorText(String((error as Error)?.message || error))
-    }
-  }, [aiApi, toolName])
-
-  const loadSchema = useCallback(async () => {
-    const res = await window.electronAPI.chat.getSchema({})
-    if (!res.success || !res.schema) {
-      setSqlError(res.error || 'Schema 加载失败')
-      return
-    }
-    setSqlSchema(res.schema)
-    setSqlSchemaText(res.schemaText || '')
-    if (res.schema.sources.length > 0) {
-      setSqlTargetKey(`${res.schema.sources[0].kind}:${res.schema.sources[0].path || ''}`)
-    }
-  }, [])
-
-  useEffect(() => {
-    void loadConversations()
-    void loadAssistantsAndSkills()
-    void loadContacts()
-  }, [loadConversations, loadAssistantsAndSkills, loadContacts])
-
-  useEffect(() => {
-    if (!currentConversationId) return
-    void loadMessages(currentConversationId)
-  }, [currentConversationId, loadMessages])
-
-  useEffect(() => {
-    if (activeTab === 'sql' && !sqlSchema) void loadSchema()
-    if (activeTab === 'tool' && toolCatalog.length === 0) void loadToolCatalog()
-  }, [activeTab, sqlSchema, loadSchema, toolCatalog.length, loadToolCatalog])
-
-  useEffect(() => {
-    const off = agentApi.onStream((chunk: AgentStreamChunk) => {
-      if (sqlRunIdRef.current && chunk.runId === sqlRunIdRef.current) {
-        if (chunk.type === 'content') {
-          setSqlGenerated((prev) => {
-            const next = `${prev}${chunk.content || ''}`
-            sqlGeneratedRef.current = next
-            return next
-          })
-        } else if (chunk.type === 'done') {
-          setSqlGenerating(false)
-          if (normalizeText(sqlGeneratedRef.current)) {
-            setSqlHistory((prev) => [sqlGeneratedRef.current.trim(), ...prev].slice(0, 30))
-          }
-          sqlRunIdRef.current = ''
-        } else if (chunk.type === 'error') {
-          setSqlGenerating(false)
-          setSqlError(chunk.error || 'SQL 生成失败')
-          sqlRunIdRef.current = ''
-        }
-        return
-      }
-      const conversationId = normalizeText(chunk.conversationId, currentConversationId)
-      if (!conversationId) return
-      appendChunk(conversationId, chunk)
-      if (chunk.type === 'done' || chunk.type === 'error' || chunk.isFinished) {
-        finishRun(conversationId)
-        void loadMessages(conversationId)
-        void loadConversations()
-      }
-    })
-    return () => off()
-  }, [agentApi, appendChunk, currentConversationId, finishRun, loadConversations, loadMessages])
-
-  useEffect(() => {
-    messageEndRef.current?.scrollIntoView({ behavior: 'smooth', block: 'end' })
-  }, [messages, runtimeState?.draft, runtimeState?.chunks.length])
-
-  const ensureConversation = useCallback(async (): Promise<string> => {
-    if (currentConversationId) return currentConversationId
-    const created = await aiApi.createConversation({ title: '新的 AI 对话' })
-    if (!created.success || !created.conversationId) throw new Error(created.error || '创建会话失败')
-    setCurrentConversationId(created.conversationId)
-    await loadConversations()
-    return created.conversationId
-  }, [aiApi, currentConversationId, loadConversations])
-
-  const handleCreateConversation = async () => {
-    const created = await aiApi.createConversation({ title: '新的 AI 对话' })
-    if (!created.success || !created.conversationId) {
-      setErrorText(created.error || '创建会话失败')
-      return
-    }
-    setCurrentConversationId(created.conversationId)
-    setMessages([])
-    setErrorText('')
-    await loadConversations()
-  }
-
-  const handleRenameConversation = async (conversationId: string) => {
-    const current = conversations.find((item) => item.conversationId === conversationId)
-    const nextTitle = window.prompt('请输入新的会话标题', current?.title || '新的 AI 对话')
-    if (!nextTitle) return
-    const result = await aiApi.renameConversation({ conversationId, title: nextTitle })
-    if (!result.success) {
-      setErrorText(result.error || '重命名失败')
-      return
-    }
-    await loadConversations()
-  }
-
-  const handleDeleteConversation = async (conversationId: string) => {
-    const ok = window.confirm('确认删除该会话吗？')
-    if (!ok) return
-    const result = await aiApi.deleteConversation(conversationId)
-    if (!result.success) {
-      setErrorText(result.error || '删除失败')
-      return
-    }
-    if (currentConversationId === conversationId) {
-      setCurrentConversationId('')
-      setMessages([])
-    }
-    await loadConversations()
-  }
-
-  const handleSend = async () => {
-    const text = normalizeText(input)
-    if (!text) return
-    setErrorText('')
-    const conversationId = await ensureConversation()
-    setMessages((prev) => ([
-      ...prev,
-      {
-        messageId: `temp-${Date.now()}`,
-        conversationId,
-        role: 'user',
-        content: text,
-        intentType: '',
-        components: [],
-        toolTrace: [],
-        createdAt: Date.now()
-      }
-    ]))
-    setInput('')
-    const run = await agentApi.runStream({
-      mode: 'chat',
-      conversationId,
-      userInput: text,
-      assistantId: selectedAssistantId,
-      activeSkillId: selectedSkillId || undefined,
-      chatScope: scopeMode === 'session' ? 'private' : 'private'
-    })
-    if (!run.success || !run.runId) {
-      setErrorText('启动失败')
-      return
-    }
-    startRun(conversationId, run.runId)
-  }
-
-  const handleStop = async () => {
-    if (!currentConversationId) return
-    await agentApi.abort({ runId: activeRunId || undefined, conversationId: currentConversationId })
-    finishRun(currentConversationId)
-  }
-
-  const handleExportConversation = async () => {
-    if (!currentConversationId) return
-    const result = await aiApi.exportConversation({ conversationId: currentConversationId })
-    if (!result.success || !result.markdown) {
-      setErrorText(result.error || '导出失败')
-      return
-    }
-    await navigator.clipboard.writeText(result.markdown)
-    window.alert('会话 Markdown 已复制到剪贴板')
-  }
-
-  const handleOpenLog = async () => {
-    const logPath = await window.electronAPI.log.getPath()
-    await window.electronAPI.shell.openPath(logPath)
-  }
-
-  const handleGenerateSql = async () => {
-    const prompt = normalizeText(sqlPrompt)
-    if (!prompt) return
-    setSqlGenerating(true)
-    setSqlGenerated('')
-    sqlGeneratedRef.current = ''
-    setSqlError('')
-    const target = extractSqlTarget(sqlSchema, sqlTargetKey)
-    const run = await agentApi.runStream({
-      mode: 'sql',
-      userInput: prompt,
-      sqlContext: {
-        schemaText: sqlSchemaText,
-        targetHint: target ? `${target.kind}:${target.path || ''}` : ''
-      }
-    })
-    if (!run.success || !run.runId) {
-      setSqlGenerating(false)
-      setSqlError('SQL 生成失败')
-      return
-    }
-    sqlRunIdRef.current = run.runId
-  }
-
-  const handleExecuteSql = async () => {
-    const sql = normalizeText(sqlGenerated)
-    if (!sql) return
-    const target = extractSqlTarget(sqlSchema, sqlTargetKey)
-    if (!target) {
-      setSqlError('请选择 SQL 数据源')
-      return
-    }
-    const result = await window.electronAPI.chat.executeSQL({
-      kind: target.kind,
-      path: target.path,
-      sql,
-      limit: 500
-    })
-    if (!result.success || !result.rows || !result.columns) {
-      setSqlError(result.error || '执行失败')
-      return
-    }
-    setSqlError('')
-    setSqlResult({
-      rows: result.rows,
-      columns: result.columns,
-      total: result.total || result.rows.length
-    })
-    setSqlHistory((prev) => [sql, ...prev].slice(0, 30))
-    setSqlPage(1)
-  }
-
-  const handleExportSqlRows = () => {
-    if (!sqlResult || sqlResult.rows.length === 0) return
-    const csv = toCsv(sqlResult.rows, sqlResult.columns)
-    const blob = new Blob([csv], { type: 'text/csv;charset=utf-8;' })
-    const url = URL.createObjectURL(blob)
-    const link = document.createElement('a')
-    link.href = url
-    link.download = `sql-result-${Date.now()}.csv`
-    link.click()
-    URL.revokeObjectURL(url)
-  }
-
-  const handleRunTool = async () => {
-    setToolRunning(true)
-    try {
-      const args = JSON.parse(toolArgsText || '{}')
-      const result = await aiApi.executeTool({ name: toolName, args })
-      setToolOutput(JSON.stringify(result, null, 2))
-    } catch (error) {
-      setToolOutput(String((error as Error)?.message || error))
-    } finally {
-      setToolRunning(false)
-    }
-  }
-
-  const groupedTools = useMemo(() => ({
-    core: toolCatalog.filter((item) => item.category === 'core'),
-    analysis: toolCatalog.filter((item) => item.category === 'analysis')
-  }), [toolCatalog])
-
-  return (
-    <div className="ai-analysis-v2">
-      <header className="ai-header">
-        <div className="left">
-          <Sparkles size={18} />
-          <h1>AI Analysis</h1>
-          <span>Chat Explorer + SQL Lab + Tool Test</span>
-        </div>
-        <div className="tabs">
-          <button type="button" className={activeTab === 'chat' ? 'active' : ''} onClick={() => setActiveTab('chat')}>
-            <Bot size={14} />
-            Chat Explorer
-          </button>
-          <button type="button" className={activeTab === 'sql' ? 'active' : ''} onClick={() => setActiveTab('sql')}>
-            <Database size={14} />
-            SQL Lab
-          </button>
-          <button type="button" className={activeTab === 'tool' ? 'active' : ''} onClick={() => setActiveTab('tool')}>
-            <SquareTerminal size={14} />
-            Tool Test
-          </button>
-        </div>
-      </header>
-
-      {activeTab === 'chat' && (
-        <div className="chat-layout">
-          <aside className="conversation-panel">
-            <div className="panel-head">
-              <h3>会话</h3>
-              <button type="button" onClick={() => void handleCreateConversation()} title="新建">+</button>
-            </div>
-            {loadingConversations ? (
-              <div className="empty"><Loader2 className="spin" size={14} /> 加载中...</div>
-            ) : (
-              <div className="conversation-list">
-                {conversations.map((conversation) => (
-                  <button
-                    type="button"
-                    key={conversation.conversationId}
-                    className={`conversation-item ${currentConversationId === conversation.conversationId ? 'active' : ''}`}
-                    onClick={() => setCurrentConversationId(conversation.conversationId)}
-                  >
-                    <div className="main">
-                      <strong>{conversation.title || '新的 AI 对话'}</strong>
-                      <small>{formatDateTime(conversation.updatedAt)}</small>
-                    </div>
-                    <div className="ops">
-                      <span onClick={(event) => { event.stopPropagation(); void handleRenameConversation(conversation.conversationId) }}>重命名</span>
-                      <span onClick={(event) => { event.stopPropagation(); void handleDeleteConversation(conversation.conversationId) }}><Trash2 size={12} /></span>
-                    </div>
-                  </button>
-                ))}
-                {conversations.length === 0 && <div className="empty">暂无会话</div>}
-              </div>
-            )}
-          </aside>
-
-          <section className="chat-main">
-            <div className="chat-toolbar">
-              <div className="row">
-                <label>助手</label>
-                <select value={selectedAssistantId} onChange={(event) => setSelectedAssistantId(event.target.value)}>
-                  {assistants.map((assistant) => (
-                    <option key={assistant.id} value={assistant.id}>{assistant.name}</option>
-                  ))}
-                </select>
-                <label>技能</label>
-                <select value={selectedSkillId} onChange={(event) => setSelectedSkillId(event.target.value)}>
-                  <option value="">无</option>
-                  {skills.map((skill) => (
-                    <option key={skill.id} value={skill.id}>{skill.name}</option>
-                  ))}
-                </select>
-                <label>范围</label>
-                <select value={scopeMode} onChange={(event) => setScopeMode(event.target.value as ScopeMode)}>
-                  <option value="global">全局</option>
-                  <option value="contact">联系人</option>
-                  <option value="session">会话</option>
-                </select>
-                {scopeMode !== 'global' && (
-                  <input
-                    type="text"
-                    value={scopeTarget}
-                    onChange={(event) => setScopeTarget(event.target.value)}
-                    placeholder={scopeMode === 'contact' ? '联系人昵称/账号' : '会话ID'}
-                  />
-                )}
-              </div>
-              {selectedAssistant?.presetQuestions?.length ? (
-                <div className="preset-row">
-                  {selectedAssistant.presetQuestions.slice(0, 8).map((question) => (
-                    <button key={question} type="button" onClick={() => setInput(question)}>{question}</button>
-                  ))}
-                </div>
-              ) : null}
-            </div>
-
-            <div className="message-panel">
-              {loadingMessages ? (
-                <div className="empty"><Loader2 className="spin" size={14} /> 加载消息...</div>
-              ) : (
-                <div className="message-list">
-                  {messages.map((message) => (
-                    <div key={message.messageId} className={`msg ${message.role === 'user' ? 'user' : message.role}`}>
-                      <div className="head">{message.role === 'user' ? '你' : message.role === 'assistant' ? '助手' : message.role}</div>
-                      <div className="body">{message.content || '（空）'}</div>
-                    </div>
-                  ))}
-
-                  {runtimeState?.running && runtimeState?.chunks?.length ? (
-                    <div className="runtime-cards">
-                      {runtimeState.chunks
-                        .filter((chunk) => chunk.type === 'tool_start' || chunk.type === 'tool_result' || chunk.type === 'error')
-                        .slice(-16)
-                        .map((chunk, index) => (
-                        <div key={`${chunk.runId}-${index}`} className={`chunk ${chunk.type}`}>
-                          <strong>{chunk.type}</strong>
-                          {chunk.toolName ? <span>{chunk.toolName}</span> : null}
-                          {chunk.content ? <pre>{chunk.content}</pre> : null}
-                          {chunk.type === 'tool_result' && chunk.toolResult !== undefined ? (
-                            <pre>{JSON.stringify(chunk.toolResult, null, 2)}</pre>
-                          ) : null}
-                          {chunk.error ? <span className="err">{chunk.error}</span> : null}
-                        </div>
-                      ))}
-                    </div>
-                  ) : null}
-
-                  {runtimeState?.draft ? (
-                    <div className="msg assistant draft">
-                      <div className="head">助手（流式）</div>
-                      <div className="body">{runtimeState.draft}</div>
-                    </div>
-                  ) : null}
-
-                  <div ref={messageEndRef} />
-                </div>
-              )}
-            </div>
-
-            <div className="footer-actions">
-              <button type="button" className="ghost" onClick={() => void loadConversations()}>
-                <RefreshCw size={14} />
-                刷新
-              </button>
-              <button type="button" className="ghost" onClick={() => void handleExportConversation()}>
-                <Download size={14} />
-                导出会话
-              </button>
-              <button type="button" className="ghost" onClick={() => void handleOpenLog()}>
-                <Search size={14} />
-                打开日志
-              </button>
-            </div>
-
-            <div className="input-panel">
-              <textarea
-                value={input}
-                onChange={(event) => setInput(event.target.value)}
-                placeholder="输入问题，支持 /技能 和 @成员"
-                onKeyDown={(event) => {
-                  if (event.key === 'Enter' && (event.metaKey || event.ctrlKey)) {
-                    event.preventDefault()
-                    void handleSend()
-                  }
-                }}
-              />
-
-              {slashSuggestions.length > 0 && (
-                <div className="suggestions">
-                  {slashSuggestions.map((skill) => (
-                    <button key={skill.id} type="button" onClick={() => { setSelectedSkillId(skill.id); setInput('') }}>
-                      /{skill.id} · {skill.name}
-                    </button>
-                  ))}
-                </div>
-              )}
-
-              {mentionSuggestions.length > 0 && (
-                <div className="suggestions">
-                  {mentionSuggestions.map((contact) => (
-                    <button
-                      key={contact.username}
-                      type="button"
-                      onClick={() => {
-                        setInput((prev) => prev.replace(/@([^\s@]*)$/, `@${contact.displayName} `))
-                      }}
-                    >
-                      @{contact.displayName}
-                    </button>
-                  ))}
-                </div>
-              )}
-
-              <div className="input-actions">
-                <button type="button" className="primary" onClick={() => void handleSend()} disabled={runtimeState?.running}>
-                  {runtimeState?.running ? <Loader2 className="spin" size={14} /> : <Send size={14} />}
-                  发送
-                </button>
-                <button type="button" className="danger" onClick={() => void handleStop()} disabled={!runtimeState?.running}>
-                  <CircleStop size={14} />
-                  停止
-                </button>
-              </div>
-            </div>
-          </section>
-        </div>
-      )}
-
-      {activeTab === 'sql' && (
-        <div className="sql-layout">
-          <aside className="schema-panel">
-            <div className="panel-head">
-              <h3>Schema</h3>
-              <button type="button" onClick={() => void loadSchema()}><RefreshCw size={13} /></button>
-            </div>
-            <div className="schema-list">
-              {sqlSchema?.sources.map((source) => (
-                <div key={`${source.kind}:${source.path || ''}`} className="schema-source">
-                  <h4>[{source.kind}] {source.label}</h4>
-                  <ul>
-                    {source.tables.slice(0, 24).map((table) => (
-                      <li key={table.name}>
-                        <strong>{table.name}</strong>
-                        <small>{table.columns.slice(0, 10).join(', ')}</small>
-                      </li>
-                    ))}
-                  </ul>
-                </div>
-              ))}
-            </div>
-          </aside>
-          <section className="sql-main">
-            <div className="sql-bar">
-              <select value={sqlTargetKey} onChange={(event) => setSqlTargetKey(event.target.value)}>
-                {sqlTargetOptions.map((option) => <option key={option.key} value={option.key}>{option.label}</option>)}
-              </select>
-              <button type="button" onClick={() => void handleGenerateSql()} disabled={sqlGenerating}>
-                {sqlGenerating ? <Loader2 className="spin" size={14} /> : <Braces size={14} />}
-                生成 SQL
-              </button>
-              <button type="button" onClick={() => void handleExecuteSql()}>
-                <Play size={14} />
-                执行 SQL
-              </button>
-              <button type="button" onClick={handleExportSqlRows} disabled={!sqlResult?.rows?.length}>
-                <Download size={14} />
-                导出结果
-              </button>
-            </div>
-            <textarea
-              className="sql-prompt"
-              value={sqlPrompt}
-              onChange={(event) => setSqlPrompt(event.target.value)}
-              placeholder="输入需求，例如：统计过去7天最活跃的10个联系人"
-            />
-            <textarea
-              className="sql-generated"
-              value={sqlGenerated}
-              onChange={(event) => {
-                setSqlGenerated(event.target.value)
-                sqlGeneratedRef.current = event.target.value
-              }}
-              placeholder="生成的 SQL 将显示在这里"
-            />
-
-            {sqlError ? <div className="error">{sqlError}</div> : null}
-
-            <div className="sql-table-wrap">
-              {sqlResult?.rows?.length ? (
-                <>
-                  <table className="sql-table">
-                    <thead>
-                      <tr>
-                        {sqlResult.columns.map((column) => (
-                          <th
-                            key={column}
-                            onClick={() => {
-                              if (sqlSortBy === column) {
-                                setSqlSortOrder((prev) => prev === 'asc' ? 'desc' : 'asc')
-                              } else {
-                                setSqlSortBy(column)
-                                setSqlSortOrder('asc')
-                              }
-                            }}
-                          >
-                            {column}
-                          </th>
-                        ))}
-                      </tr>
-                    </thead>
-                    <tbody>
-                      {sqlPagedRows.map((row, rowIndex) => (
-                        <tr key={`row-${rowIndex}`}>
-                          {sqlResult.columns.map((column) => (
-                            <td key={`${rowIndex}-${column}`}>{String(row[column] ?? '')}</td>
-                          ))}
-                        </tr>
-                      ))}
-                    </tbody>
-                  </table>
-                  <div className="pager">
-                    <span>共 {sqlResult.total} 行</span>
-                    <button type="button" onClick={() => setSqlPage((prev) => Math.max(1, prev - 1))}>上一页</button>
-                    <span>{sqlPage}</span>
-                    <button type="button" onClick={() => setSqlPage((prev) => prev + 1)}>下一页</button>
-                  </div>
-                </>
-              ) : (
-                <div className="empty">暂无执行结果</div>
-              )}
-            </div>
-
-            <div className="sql-history">
-              <h4>历史 SQL</h4>
-              <div className="history-list">
-                {sqlHistory.map((sql, index) => (
-                  <button key={`sql-${index}`} type="button" onClick={() => setSqlGenerated(sql)}>
-                    {sql.slice(0, 120)}
-                  </button>
-                ))}
-              </div>
-            </div>
-          </section>
-        </div>
-      )}
-
-      {activeTab === 'tool' && (
-        <div className="tool-layout">
-          <aside className="tool-catalog">
-            <h3>工具目录</h3>
-            <h4>Core</h4>
-            <div className="tool-list">
-              {groupedTools.core.map((tool) => (
-                <button key={tool.name} type="button" className={toolName === tool.name ? 'active' : ''} onClick={() => setToolName(tool.name)}>
-                  {tool.name}
-                </button>
-              ))}
-            </div>
-            <h4>Analysis</h4>
-            <div className="tool-list">
-              {groupedTools.analysis.map((tool) => (
-                <button key={tool.name} type="button" className={toolName === tool.name ? 'active' : ''} onClick={() => setToolName(tool.name)}>
-                  {tool.name}
-                </button>
-              ))}
-            </div>
-          </aside>
-
-          <section className="tool-main">
-            <div className="tool-top">
-              <div>
-                <h3>{toolName || '请选择工具'}</h3>
-                <p>{toolCatalog.find((tool) => tool.name === toolName)?.description || '暂无描述'}</p>
-              </div>
-              <div className="actions">
-                <button type="button" onClick={() => void handleRunTool()} disabled={!toolName || toolRunning}>
-                  {toolRunning ? <Loader2 className="spin" size={14} /> : <Wrench size={14} />}
-                  执行
-                </button>
-                <button type="button" onClick={() => void aiApi.cancelToolTest({})}>
-                  <CircleStop size={14} />
-                  取消
-                </button>
-              </div>
-            </div>
-            <textarea
-              className="tool-args"
-              value={toolArgsText}
-              onChange={(event) => setToolArgsText(event.target.value)}
-              placeholder='{"keyword":"买车","limit":10}'
-            />
-            <pre className="tool-output">{toolOutput || '执行结果会显示在这里（超长内容可滚动查看）'}</pre>
-          </section>
-        </div>
-      )}
-
-      {errorText ? <div className="global-error">{errorText}</div> : null}
-    </div>
-  )
-}
-
-export default AiAnalysisPage

src/pages/ChatPage.tsx

@@ -46,12 +46,6 @@ interface PendingInSessionSearchPayload {
   results: Message[]
 }
 
-interface PendingFootprintJumpPayload {
-  sessionId: string
-  localId: number
-  createTime: number
-}
-
 type GlobalMsgSearchPhase = 'idle' | 'seed' | 'backfill' | 'done'
 type GlobalMsgSearchResult = Message & { sessionId: string }
 
@@ -1369,7 +1363,6 @@ function ChatPage(props: ChatPageProps) {
   const [globalMsgAuthoritativeSessionCount, setGlobalMsgAuthoritativeSessionCount] = useState(0)
   const [globalMsgSearchError, setGlobalMsgSearchError] = useState<string | null>(null)
   const pendingInSessionSearchRef = useRef<PendingInSessionSearchPayload | null>(null)
-  const pendingFootprintJumpRef = useRef<PendingFootprintJumpPayload | null>(null)
   const pendingGlobalMsgSearchReplayRef = useRef<string | null>(null)
   const globalMsgPrefixCacheRef = useRef<GlobalMsgPrefixCacheEntry | null>(null)
 
@@ -5358,89 +5351,18 @@ function ChatPage(props: ChatPageProps) {
     selectSessionById
   ])
 
-  // 监听 URL 参数中的会话/锚点（通知跳转 + 足迹锚点定位）
+  // 监听URL参数中的sessionId，用于通知点击导航
   useEffect(() => {
     if (standaloneSessionWindow) return // standalone模式由上面的useEffect处理
     const params = new URLSearchParams(location.search)
-    const urlSessionId = String(params.get('sessionId') || '').trim()
+    const urlSessionId = params.get('sessionId')
     if (!urlSessionId) return
     if (!isConnected || isConnecting) return
-    const jumpSource = String(params.get('jumpSource') || '').trim()
-    const jumpLocalId = Number.parseInt(String(params.get('jumpLocalId') || ''), 10)
-    const jumpCreateTime = Number.parseInt(String(params.get('jumpCreateTime') || ''), 10)
-    const hasFootprintAnchor = jumpSource === 'footprint'
-      && Number.isFinite(jumpLocalId)
-      && jumpLocalId > 0
-      && Number.isFinite(jumpCreateTime)
-      && jumpCreateTime > 0
-
-    if (hasFootprintAnchor) {
-      pendingFootprintJumpRef.current = {
-        sessionId: urlSessionId,
-        localId: jumpLocalId,
-        createTime: jumpCreateTime
-      }
-      if (currentSessionId !== urlSessionId) {
-        selectSessionById(urlSessionId)
-        return
-      }
-      const messageStub: Message = {
-        messageKey: `footprint:${urlSessionId}:${jumpCreateTime}:${jumpLocalId}`,
-        localId: jumpLocalId,
-        serverId: 0,
-        localType: 0,
-        createTime: jumpCreateTime,
-        sortSeq: jumpCreateTime,
-        isSend: null,
-        senderUsername: null,
-        parsedContent: '',
-        rawContent: ''
-      }
-      handleInSessionResultJump(messageStub)
-      pendingFootprintJumpRef.current = null
-      navigate('/chat', { replace: true })
-      return
-    }
-
-    pendingFootprintJumpRef.current = null
-    if (currentSessionId !== urlSessionId) {
-      selectSessionById(urlSessionId)
-    }
+    if (currentSessionId === urlSessionId) return
+    selectSessionById(urlSessionId)
     // 选中后清除URL参数，避免影响后续用户手动切换会话
     navigate('/chat', { replace: true })
-  }, [
-    standaloneSessionWindow,
-    location.search,
-    isConnected,
-    isConnecting,
-    currentSessionId,
-    selectSessionById,
-    handleInSessionResultJump,
-    navigate
-  ])
-
-  useEffect(() => {
-    const pending = pendingFootprintJumpRef.current
-    if (!pending) return
-    if (!isConnected || isConnecting) return
-    if (currentSessionId !== pending.sessionId) return
-
-    const messageStub: Message = {
-      messageKey: `footprint:${pending.sessionId}:${pending.createTime}:${pending.localId}`,
-      localId: pending.localId,
-      serverId: 0,
-      localType: 0,
-      createTime: pending.createTime,
-      sortSeq: pending.createTime,
-      isSend: null,
-      senderUsername: null,
-      parsedContent: '',
-      rawContent: ''
-    }
-    handleInSessionResultJump(messageStub)
-    pendingFootprintJumpRef.current = null
-    navigate('/chat', { replace: true })
-  }, [isConnected, isConnecting, currentSessionId, handleInSessionResultJump, navigate])
+  }, [standaloneSessionWindow, location.search, isConnected, isConnecting, currentSessionId, selectSessionById, navigate])
 
   useEffect(() => {
     if (!standaloneSessionWindow || !normalizedInitialSessionId) return

src/pages/MyFootprintPage.scss

@@ -1,825 +0,0 @@
-.my-footprint-page {
-  --timeline-mention: #f59e0b; /* muted orange */
-  --timeline-private: #3b82f6; /* muted blue */
-
-  min-height: 100%;
-  margin: -24px -24px 0;
-  padding: 32px 40px;
-  background: var(--bg-primary); /* Pure minimal background */
-  display: flex;
-  flex-direction: column;
-  gap: 24px;
-  overflow-y: auto;
-  overflow-x: hidden;
-  animation: footprintPageEnter 0.4s ease-out;
-
-  .card-surface {
-    /* Removing border and strong shadows, just subtle background if any */
-    background: transparent;
-  }
-
-  .spin {
-    animation: footprintSpin 1s linear infinite;
-  }
-}
-
-.footprint-header {
-  position: relative;
-  z-index: 30;
-  display: flex;
-  flex-direction: column;
-  gap: 20px;
-  padding: 10px 0 20px 0;
-  border-bottom: 1px solid color-mix(in srgb, var(--border-color) 40%, transparent);
-  animation: footprintFadeSlideUp 0.3s ease both;
-}
-
-.footprint-title-wrap {
-  display: flex;
-  flex-direction: column;
-  gap: 8px;
-
-  h1 {
-    margin: 0;
-    font-size: 26px;
-    font-weight: 600;
-    line-height: 1.3;
-    letter-spacing: -0.3px;
-    color: var(--text-primary);
-  }
-
-  p {
-    margin: 0;
-    color: var(--text-tertiary);
-    font-size: 14px;
-  }
-}
-
-.footprint-title-badge {
-  display: none; /* Removed for minimal design */
-}
-
-.footprint-toolbar {
-  display: flex;
-  flex-wrap: wrap;
-  align-items: center;
-  justify-content: space-between;
-  gap: 16px;
-}
-
-.range-preset-group {
-  display: flex;
-  gap: 4px;
-  background: color-mix(in srgb, var(--text-tertiary) 8%, transparent);
-  padding: 4px;
-  border-radius: 8px;
-}
-
-.preset-chip {
-  background: transparent;
-  border: none;
-  color: var(--text-secondary);
-  border-radius: 6px;
-  padding: 6px 14px;
-  font-size: 13px;
-  font-weight: 500;
-  cursor: pointer;
-  transition: all 0.2s ease;
-
-  &:hover {
-    color: var(--text-primary);
-  }
-
-  &.active {
-    color: var(--text-primary);
-    background: var(--bg-primary);
-    box-shadow: 0 1px 3px rgba(0,0,0,0.05);
-  }
-}
-
-.custom-range-row {
-  display: inline-flex;
-  align-items: center;
-  gap: 10px;
-
-  span {
-    color: var(--text-tertiary);
-    font-size: 13px;
-    font-weight: 500;
-  }
-
-  input[type="date"] {
-    font-family: inherit;
-    border: 1px solid transparent;
-    background: color-mix(in srgb, var(--text-tertiary) 6%, transparent);
-    color: var(--text-primary);
-    border-radius: 8px;
-    padding: 6px 10px;
-    font-size: 13px;
-    font-weight: 500;
-    transition: all 0.2s ease;
-    cursor: pointer;
-    box-shadow: 0 1px 2px rgba(0,0,0,0.02) inset;
-
-    &:hover {
-      background: color-mix(in srgb, var(--text-tertiary) 12%, transparent);
-    }
-
-    &:focus {
-      outline: none;
-      background: color-mix(in srgb, var(--primary) 4%, transparent);
-      border-color: color-mix(in srgb, var(--primary) 30%, transparent);
-      color: var(--primary);
-    }
-
-    &::-webkit-calendar-picker-indicator {
-      cursor: pointer;
-      opacity: 0.5;
-      transition: all 0.2s ease;
-      padding: 4px;
-      margin-left: 4px;
-      margin-right: -4px;
-      border-radius: 4px;
-    }
-
-    &::-webkit-calendar-picker-indicator:hover {
-      opacity: 0.9;
-      background: color-mix(in srgb, var(--text-tertiary) 12%, transparent);
-    }
-  }
-}
-
-.toolbar-actions {
-  display: flex;
-  flex-wrap: wrap;
-  align-items: center;
-  gap: 8px;
-}
-
-.search-input {
-  display: flex;
-  align-items: center;
-  gap: 8px;
-  border: none;
-  background: color-mix(in srgb, var(--text-tertiary) 8%, transparent);
-  border-radius: 8px;
-  padding: 8px 12px;
-  color: var(--text-tertiary);
-  transition: all 0.2s ease;
-
-  &:focus-within {
-    background: color-mix(in srgb, var(--primary) 8%, transparent);
-    color: var(--primary);
-  }
-
-  input {
-    min-width: 180px;
-    border: none;
-    background: transparent;
-    color: var(--text-primary);
-    font-size: 13px;
-
-    &::placeholder {
-      color: var(--text-tertiary);
-    }
-    &:focus {
-      outline: none;
-    }
-  }
-}
-
-.action-btn,
-.jump-btn {
-  border: none;
-  background: color-mix(in srgb, var(--text-tertiary) 8%, transparent);
-  color: var(--text-secondary);
-  border-radius: 8px;
-  padding: 8px 12px;
-  font-size: 13px;
-  font-weight: 500;
-  display: inline-flex;
-  align-items: center;
-  gap: 6px;
-  cursor: pointer;
-  transition: all 0.2s ease;
-
-  &:hover {
-    background: color-mix(in srgb, var(--text-tertiary) 15%, transparent);
-    color: var(--text-primary);
-  }
-
-  &:disabled {
-    opacity: 0.4;
-    cursor: not-allowed;
-  }
-}
-
-.kpi-grid {
-  display: grid;
-  grid-template-columns: repeat(4, minmax(0, 1fr));
-  gap: 20px;
-  padding: 20px 0;
-  border-bottom: 1px solid color-mix(in srgb, var(--border-color) 40%, transparent);
-}
-
-.kpi-card {
-  border: none;
-  background: transparent;
-  padding: 0;
-  display: flex;
-  flex-direction: column;
-  align-items: flex-start;
-  gap: 8px;
-  text-align: left;
-  color: var(--text-primary);
-  animation: footprintKpiIn 0.3s ease both;
-  transition: opacity 0.2s ease;
-  cursor: pointer;
-
-  &:hover {
-    opacity: 0.7;
-  }
-
-  strong {
-    font-size: 32px;
-    font-weight: 300;
-    line-height: 1;
-    color: var(--text-primary);
-    letter-spacing: -0.5px;
-  }
-
-  small {
-    color: var(--text-tertiary);
-    font-size: 12px;
-  }
-}
-
-.kpi-icon {
-  display: none; /* Minimalistic, hide icon in KPI */
-}
-
-.footprint-ai-result {
-  border-radius: 10px;
-  padding: 14px 16px;
-  background: color-mix(in srgb, var(--text-tertiary) 8%, transparent);
-  border: 1px solid color-mix(in srgb, var(--border-color) 40%, transparent);
-
-  .footprint-ai-head {
-    display: flex;
-    justify-content: space-between;
-    gap: 8px;
-    margin-bottom: 8px;
-
-    strong {
-      font-size: 14px;
-      color: var(--text-primary);
-    }
-
-    span {
-      font-size: 12px;
-      color: var(--text-tertiary);
-    }
-  }
-
-  p {
-    margin: 0;
-    white-space: pre-wrap;
-    line-height: 1.6;
-    color: var(--text-secondary);
-    font-size: 13px;
-  }
-
-  &.footprint-ai-result-error {
-    border-color: color-mix(in srgb, #ef4444 50%, transparent);
-  }
-}
-
-.kpi-label {
-  font-size: 13px;
-  font-weight: 500;
-  color: var(--text-secondary);
-}
-
-.kpi-diagnostics {
-  cursor: default;
-  &:hover { opacity: 1; }
-  border-left: 1px solid color-mix(in srgb, var(--border-color) 40%, transparent);
-  padding-left: 20px;
-}
-
-.footprint-timeline {
-  animation: timelineSwitchFade 0.4s cubic-bezier(0.16, 1, 0.3, 1) both;
-  --timeline-time-col-width: 64px;
-  --timeline-dot-col-width: 20px;
-  --timeline-gap: 24px;
-
-  flex: 1;
-  display: flex;
-  flex-direction: column;
-  gap: 24px;
-  padding: 10px 0;
-
-  &.timeline-time-month_day_clock {
-    --timeline-time-col-width: 86px;
-  }
-
-  &.timeline-time-full_date_clock {
-    --timeline-time-col-width: 124px;
-  }
-}
-
-.timeline-head {
-  display: flex;
-  justify-content: space-between;
-  align-items: center;
-  margin-bottom: 10px;
-}
-
-.timeline-head-left h2 {
-  display: none; /* the minimalist approach relies on content, we skip this redundant title */
-}
-
-.timeline-head-left p {
-  display: none;
-}
-
-.timeline-mode-row {
-  display: flex;
-  gap: 4px;
-  background: color-mix(in srgb, var(--text-tertiary) 6%, transparent);
-  padding: 3px;
-  border-radius: 8px;
-}
-
-.timeline-mode-chip {
-  border: none;
-  background: transparent;
-  color: var(--text-secondary);
-  font-size: 13px;
-  font-weight: 500;
-  padding: 6px 12px;
-  border-radius: 6px;
-  cursor: pointer;
-  transition: all 0.2s ease;
-
-  &:hover {
-    color: var(--text-primary);
-  }
-
-  &.active {
-    color: var(--text-primary);
-    background: var(--bg-primary);
-    box-shadow: 0 1px 3px rgba(0,0,0,0.04);
-  }
-}
-
-.timeline-stream {
-  position: relative;
-  padding-bottom: 40px;
-
-  &::before {
-    content: '';
-    position: absolute;
-    left: calc(var(--timeline-time-col-width) + var(--timeline-gap) + 9px);
-    top: 0;
-    bottom: 0;
-    width: 2px;
-    background: color-mix(in srgb, var(--text-tertiary) 20%, transparent);
-  }
-}
-
-.timeline-item {
-  display: grid;
-  grid-template-columns: var(--timeline-time-col-width) var(--timeline-dot-col-width) minmax(0, 1fr);
-  column-gap: var(--timeline-gap);
-  align-items: stretch;
-  margin-bottom: 38px;
-}
-
-.timeline-time {
-  font-size: 13px;
-  color: var(--text-tertiary);
-  text-align: right;
-  padding-top: 5px;
-  height: 100%;
-}
-
-.timeline-time-private {
-  padding-top: 5px;
-}
-
-.timeline-time-range {
-  display: flex;
-  flex-direction: column;
-  align-items: flex-end;
-  justify-content: space-between;
-  height: 100%;
-}
-
-.timeline-time-main,
-.timeline-time-end {
-  color: var(--text-secondary);
-  font-weight: 500;
-  line-height: 1;
-}
-
-.timeline-time-sep {
-  display: none;
-}
-
-.timeline-dot-col {
-  display: flex;
-  flex-direction: column;
-  align-items: center;
-  padding-top: 9px;
-  height: 100%;
-}
-
-.timeline-dot {
-  width: 8px;
-  height: 8px;
-  border-radius: 50%;
-  background: var(--text-tertiary);
-  position: relative;
-  z-index: 1;
-  flex-shrink: 0;
-}
-
-.timeline-dot-mention {
-  background: var(--timeline-mention);
-}
-
-.timeline-dot-private {
-  background: var(--timeline-private);
-}
-
-.timeline-dot-private-inbound_only {
-  background: var(--timeline-mention);
-  border: none;
-}
-
-.timeline-dot-private-outbound_only {
-  background: #22c55e;
-}
-
-.timeline-dot-private-both {
-  background: var(--timeline-private);
-}
-
-.timeline-dot-start,
-.timeline-dot-end {
-  background: transparent;
-  border: 1.5px solid var(--text-tertiary);
-  width: 10px;
-  height: 10px;
-  margin-top: -1px;
-}
-
-.timeline-dot-range {
-  display: flex;
-  flex-direction: column;
-  align-items: center;
-  height: 100%;
-  width: 100%;
-}
-
-.timeline-dot-range-line {
-  width: 2px;
-  flex: 1;
-  margin: 4px 0;
-  background: color-mix(in srgb, var(--timeline-private) 30%, transparent);
-}
-
-.timeline-dot-range-line-inbound_only {
-  background: color-mix(in srgb, var(--timeline-mention) 55%, transparent);
-}
-
-.timeline-dot-range-line-outbound_only {
-  background: #22c55e;
-}
-
-.timeline-dot-range-line-both {
-  background: color-mix(in srgb, var(--timeline-private) 55%, transparent);
-}
-
-.timeline-content-wrap {
-  padding-top: 2px;
-  padding-bottom: 6px;
-  display: flex;
-  flex-direction: column;
-  justify-content: space-between;
-  min-height: 100%;
-}
-
-.timeline-boundary {
-  font-size: 13px;
-  color: var(--text-tertiary);
-  padding: 4px 0;
-}
-
-.timeline-card {
-  display: flex;
-  flex-direction: column;
-  gap: 8px;
-
-  /* completely clean out the old card style */
-  border: none;
-  background: transparent;
-  padding: 0;
-}
-
-.timeline-card-head {
-  display: flex;
-  justify-content: space-between;
-  align-items: center;
-}
-
-.timeline-identity {
-  display: flex;
-  align-items: center;
-  gap: 12px;
-}
-
-.timeline-avatar {
-  width: 28px;
-  height: 28px;
-  border-radius: 50%; /* Modern circle avatars */
-  overflow: hidden;
-  background: color-mix(in srgb, var(--text-tertiary) 10%, transparent);
-  display: flex;
-  align-items: center;
-  justify-content: center;
-  color: var(--text-tertiary);
-
-  img {
-    width: 100%;
-    height: 100%;
-    object-fit: cover;
-  }
-}
-
-.timeline-avatar-private {
-  color: var(--timeline-private);
-}
-
-.timeline-title-group {
-  display: flex;
-  align-items: baseline;
-  gap: 8px;
-}
-
-.timeline-title {
-  font-size: 14px;
-  font-weight: 600;
-  color: var(--text-primary);
-}
-
-.timeline-subtitle {
-  font-size: 13px;
-  color: var(--text-tertiary);
-}
-
-.timeline-right-tools {
-  display: flex;
-  align-items: center;
-  gap: 12px;
-}
-
-.timeline-count-badge {
-  font-size: 12px;
-  color: var(--text-tertiary);
-}
-
-.timeline-jump-btn {
-  padding: 4px 10px;
-  font-size: 12px;
-  background: transparent;
-  color: var(--text-tertiary);
-
-  &:hover {
-    background: color-mix(in srgb, var(--text-tertiary) 10%, transparent);
-    color: var(--text-primary);
-  }
-}
-
-.timeline-message {
-  font-size: 13px;
-  line-height: 1.5;
-  color: var(--text-secondary);
-  padding: 0;
-  margin-top: 4px;
-  background: transparent;
-  border-radius: 0;
-  word-break: break-word;
-  white-space: pre-wrap;
-}
-
-.mention-message {
-  color: var(--text-primary);
-}
-
-.private-message {
-  color: var(--text-tertiary);
-}
-
-@keyframes timelineSwitchFade {
-  from {
-    opacity: 0;
-    transform: translateY(12px);
-  }
-  to {
-    opacity: 1;
-    transform: translateY(0);
-  }
-}
-
-
-.mention-token {
-  color: var(--timeline-mention);
-  font-weight: 600;
-}
-
-.panel-empty-state {
-  text-align: center;
-  padding: 60px 0;
-  color: var(--text-tertiary);
-  font-size: 14px;
-}
-
-.footprint-loading {
-  padding: 40px 0;
-}
-
-.kpi-skeleton-grid {
-  display: grid;
-  grid-template-columns: repeat(4, minmax(0, 1fr));
-  gap: 20px;
-  margin-bottom: 20px;
-}
-
-.kpi-skeleton-card {
-  height: 60px;
-  border-radius: 8px;
-  background: color-mix(in srgb, var(--text-tertiary) 6%, transparent);
-}
-
-.timeline-skeleton-list {
-  display: flex;
-  flex-direction: column;
-  gap: 20px;
-}
-
-.timeline-skeleton-item {
-  height: 80px;
-  border-radius: 8px;
-  background: color-mix(in srgb, var(--text-tertiary) 6%, transparent);
-}
-
-.footprint-export-modal-mask {
-  position: fixed;
-  inset: 0;
-  z-index: 1200;
-  background: color-mix(in srgb, #000 36%, transparent);
-  display: flex;
-  align-items: center;
-  justify-content: center;
-  padding: 24px;
-}
-
-.footprint-export-modal {
-  width: min(520px, 100%);
-  border-radius: 16px;
-  background: var(--bg-primary);
-  border: 1px solid color-mix(in srgb, var(--border-color) 60%, transparent);
-  box-shadow: 0 18px 60px rgba(0, 0, 0, 0.2);
-  padding: 22px 22px 18px;
-  display: flex;
-  flex-direction: column;
-  gap: 10px;
-  animation: footprintFadeSlideUp 0.2s ease both;
-
-  h3 {
-    margin: 0;
-    font-size: 18px;
-    font-weight: 600;
-    color: var(--text-primary);
-  }
-
-  p {
-    margin: 0;
-    color: var(--text-secondary);
-    font-size: 14px;
-    line-height: 1.5;
-  }
-}
-
-.export-modal-icon {
-  width: 34px;
-  height: 34px;
-  border-radius: 10px;
-  display: inline-flex;
-  align-items: center;
-  justify-content: center;
-}
-
-.export-modal-icon-progress {
-  color: var(--primary);
-  background: color-mix(in srgb, var(--primary) 16%, transparent);
-}
-
-.export-modal-icon-success {
-  color: #16a34a;
-  background: color-mix(in srgb, #16a34a 18%, transparent);
-}
-
-.export-modal-icon-error {
-  color: #ef4444;
-  background: color-mix(in srgb, #ef4444 18%, transparent);
-}
-
-.export-modal-path {
-  display: block;
-  margin-top: 2px;
-  padding: 10px 12px;
-  border-radius: 10px;
-  font-family: inherit;
-  font-weight: 500;
-  font-size: 12px;
-  line-height: 1.4;
-  color: var(--text-tertiary);
-  background: color-mix(in srgb, var(--text-tertiary) 8%, transparent);
-  border: 1px solid color-mix(in srgb, var(--border-color) 40%, transparent);
-  white-space: pre-wrap;
-  word-break: break-all;
-}
-
-.export-modal-actions {
-  display: flex;
-  justify-content: flex-end;
-  margin-top: 6px;
-}
-
-.skeleton-shimmer {
-  position: relative;
-  overflow: hidden;
-
-  &::after {
-    content: '';
-    position: absolute;
-    inset: 0;
-    background: linear-gradient(
-      90deg,
-      transparent,
-      color-mix(in srgb, var(--bg-primary) 50%, transparent),
-      transparent
-    );
-    transform: translateX(-100%);
-    animation: footprintShimmer 1.5s infinite;
-  }
-}
-
-/* Animations */
-@keyframes footprintPageEnter {
-  from { opacity: 0; transform: translateY(10px); }
-  to { opacity: 1; transform: translateY(0); }
-}
-
-@keyframes footprintFadeSlideUp {
-  from { opacity: 0; transform: translateY(5px); }
-  to { opacity: 1; transform: translateY(0); }
-}
-
-@keyframes footprintKpiIn {
-  from { opacity: 0; transform: translateY(8px); }
-  to { opacity: 1; transform: translateY(0); }
-}
-
-@keyframes footprintTimelineItemIn {
-  from { opacity: 0; transform: translateY(10px); }
-  to { opacity: 1; transform: translateY(0); }
-}
-
-@keyframes footprintSpin {
-  100% { transform: rotate(360deg); }
-}
-
-@keyframes footprintShimmer {
-  100% { transform: translateX(100%); }
-}
-
-@media (max-width: 1100px) {
-  .kpi-grid,
-  .kpi-skeleton-grid {
-    grid-template-columns: repeat(3, 1fr);
-  }
-}
-
-@media (max-width: 800px) {
-  .my-footprint-page {
-    padding: 20px;
-  }
-  .kpi-grid,
-  .kpi-skeleton-grid {
-    grid-template-columns: repeat(2, 1fr);
-  }
-}

src/pages/MyFootprintPage.tsx

@@ -1,983 +0,0 @@
-import { useCallback, useEffect, useMemo, useRef, useState, type ReactNode } from 'react'
-import { useNavigate } from 'react-router-dom'
-import { AlertCircle, AtSign, CheckCircle2, Download, Loader2, MessageCircle, RefreshCw, Search, Sparkles, Users } from 'lucide-react'
-import DateRangePicker from '../components/DateRangePicker'
-import './MyFootprintPage.scss'
-
-type RangePreset = 'today' | 'yesterday' | 'this_week' | 'last_week' | 'custom'
-type TimelineMode = 'all' | 'mention' | 'private'
-type TimelineTimeMode = 'clock' | 'month_day_clock' | 'full_date_clock'
-type PrivateDotVariant = 'both' | 'inbound_only' | 'outbound_only'
-type ExportModalStatus = 'idle' | 'progress' | 'success' | 'error'
-type FootprintAiStatus = 'idle' | 'loading' | 'success' | 'error'
-
-interface MyFootprintSummary {
-  private_inbound_people: number
-  private_replied_people: number
-  private_outbound_people: number
-  private_reply_rate: number
-  mention_count: number
-  mention_group_count: number
-}
-
-interface MyFootprintPrivateSession {
-  session_id: string
-  incoming_count: number
-  outgoing_count: number
-  replied: boolean
-  first_incoming_ts: number
-  first_reply_ts: number
-  latest_ts: number
-  anchor_local_id: number
-  anchor_create_time: number
-  displayName?: string
-  avatarUrl?: string
-}
-
-interface MyFootprintPrivateSegment {
-  session_id: string
-  segment_index: number
-  start_ts: number
-  end_ts: number
-  duration_sec: number
-  incoming_count: number
-  outgoing_count: number
-  message_count: number
-  replied: boolean
-  first_incoming_ts: number
-  first_reply_ts: number
-  latest_ts: number
-  anchor_local_id: number
-  anchor_create_time: number
-  displayName?: string
-  avatarUrl?: string
-}
-
-interface MyFootprintMention {
-  session_id: string
-  local_id: number
-  create_time: number
-  sender_username: string
-  message_content: string
-  source: string
-  sessionDisplayName?: string
-  senderDisplayName?: string
-  senderAvatarUrl?: string
-}
-
-interface MyFootprintMentionGroup {
-  session_id: string
-  count: number
-  latest_ts: number
-  displayName?: string
-  avatarUrl?: string
-}
-
-interface MyFootprintDiagnostics {
-  truncated: boolean
-  scanned_dbs: number
-  elapsed_ms: number
-  mention_truncated?: boolean
-  private_truncated?: boolean
-}
-
-interface MyFootprintData {
-  summary: MyFootprintSummary
-  private_sessions: MyFootprintPrivateSession[]
-  private_segments: MyFootprintPrivateSegment[]
-  mentions: MyFootprintMention[]
-  mention_groups: MyFootprintMentionGroup[]
-  diagnostics: MyFootprintDiagnostics
-}
-
-interface TimelineBoundaryItem {
-  kind: 'boundary'
-  edge: 'start' | 'end'
-  key: string
-  time: number
-  label: string
-}
-
-interface TimelineMentionItem {
-  kind: 'mention'
-  key: string
-  time: number
-  sessionId: string
-  localId: number
-  createTime: number
-  groupName: string
-  groupAvatarUrl?: string
-  senderName: string
-  messageContent: string
-}
-
-interface TimelinePrivateItem {
-  kind: 'private'
-  key: string
-  time: number
-  endTime: number
-  sessionId: string
-  anchorLocalId: number
-  anchorCreateTime: number
-  displayName: string
-  avatarUrl?: string
-  subtitle: string
-  totalInteractions: number
-  summaryText: string
-  dotVariant: PrivateDotVariant
-  isRange: boolean
-}
-
-type TimelineItem = TimelineBoundaryItem | TimelineMentionItem | TimelinePrivateItem
-
-const EMPTY_DATA: MyFootprintData = {
-  summary: {
-    private_inbound_people: 0,
-    private_replied_people: 0,
-    private_outbound_people: 0,
-    private_reply_rate: 0,
-    mention_count: 0,
-    mention_group_count: 0
-  },
-  private_sessions: [],
-  private_segments: [],
-  mentions: [],
-  mention_groups: [],
-  diagnostics: {
-    truncated: false,
-    scanned_dbs: 0,
-    elapsed_ms: 0,
-    mention_truncated: false,
-    private_truncated: false
-  }
-}
-
-function toDayStart(date: Date): Date {
-  const next = new Date(date)
-  next.setHours(0, 0, 0, 0)
-  return next
-}
-
-function toDayEnd(date: Date): Date {
-  const next = new Date(date)
-  next.setHours(23, 59, 59, 999)
-  return next
-}
-
-function toSeconds(date: Date): number {
-  return Math.floor(date.getTime() / 1000)
-}
-
-function toDateInputValue(date: Date): string {
-  const y = date.getFullYear()
-  const m = `${date.getMonth() + 1}`.padStart(2, '0')
-  const d = `${date.getDate()}`.padStart(2, '0')
-  return `${y}-${m}-${d}`
-}
-
-function getWeekStart(date: Date): Date {
-  const base = toDayStart(date)
-  const day = base.getDay()
-  const diff = day === 0 ? -6 : 1 - day
-  base.setDate(base.getDate() + diff)
-  return base
-}
-
-function formatTimelineMoment(seconds: number, mode: TimelineTimeMode): string {
-  if (!seconds || !Number.isFinite(seconds)) return '--'
-  const date = new Date(seconds * 1000)
-  const yyyy = `${date.getFullYear()}`
-  const mm = `${date.getMonth() + 1}`.padStart(2, '0')
-  const dd = `${date.getDate()}`.padStart(2, '0')
-  const hh = `${date.getHours()}`.padStart(2, '0')
-  const min = `${date.getMinutes()}`.padStart(2, '0')
-  if (mode === 'full_date_clock') {
-    return `${yyyy}-${mm}-${dd} ${hh}:${min}`
-  }
-  if (mode === 'month_day_clock') {
-    return `${mm}-${dd} ${hh}:${min}`
-  }
-  return `${hh}:${min}`
-}
-
-function formatPercent(value: number): string {
-  const safe = Number.isFinite(value) ? value : 0
-  return `${(safe * 100).toFixed(1)}%`
-}
-
-function decodeHtmlEntities(content: string): string {
-  return String(content || '')
-    .replace(/&/g, '&')
-    .replace(/&lt;/g, '<')
-    .replace(/&gt;/g, '>')
-    .replace(/&quot;/g, '"')
-    .replace(/&apos;/g, "'")
-}
-
-function stripGroupSenderPrefix(content: string): string {
-  return String(content || '')
-    .replace(/^[\s]*([a-zA-Z0-9_@-]+):(?!\/\/)(?:\s*(?:\r?\n|<br\s*\/?>)\s*|\s*)/i, '')
-    .replace(/^[a-zA-Z0-9]+@openim:\n?/i, '')
-}
-
-function normalizeFootprintMessageContent(content: string): string {
-  const decoded = decodeHtmlEntities(content || '')
-  const stripped = stripGroupSenderPrefix(decoded)
-  return stripped.trim()
-}
-
-function renderMentionContent(content: string): ReactNode {
-  const normalized = String(content || '').trim() || '[空消息]'
-  const parts = normalized.split(/(@我|＠我)/g)
-  if (parts.length <= 1) return normalized
-  return parts.map((part, index) => {
-    if (part === '@我' || part === '＠我') {
-      return (
-        <span key={index} className="mention-token">
-          {part}
-        </span>
-      )
-    }
-    return <span key={index}>{part}</span>
-  })
-}
-
-function formatDurationLabel(beginTimestamp: number, endTimestamp: number): string {
-  if (!beginTimestamp || !endTimestamp || endTimestamp <= beginTimestamp) {
-    return '持续不足 1 分钟'
-  }
-  const minutes = Math.max(1, Math.round((endTimestamp - beginTimestamp) / 60))
-  return `持续 ${minutes} 分钟`
-}
-
-function resolveRangePresetLabel(preset: RangePreset): string {
-  switch (preset) {
-    case 'today':
-      return '今天'
-    case 'yesterday':
-      return '昨天'
-    case 'this_week':
-      return '本周'
-    case 'last_week':
-      return '上周'
-    default:
-      return '自定义'
-  }
-}
-
-function buildRange(preset: RangePreset, customStart: string, customEnd: string): { begin: number; end: number; label: string } {
-  const now = new Date()
-
-  if (preset === 'today') {
-    return {
-      begin: toSeconds(toDayStart(now)),
-      end: toSeconds(now),
-      label: '今天'
-    }
-  }
-
-  if (preset === 'yesterday') {
-    const yesterday = new Date(now)
-    yesterday.setDate(yesterday.getDate() - 1)
-    return {
-      begin: toSeconds(toDayStart(yesterday)),
-      end: toSeconds(toDayEnd(yesterday)),
-      label: '昨天'
-    }
-  }
-
-  if (preset === 'this_week') {
-    const weekStart = getWeekStart(now)
-    const weekEnd = new Date(weekStart)
-    weekEnd.setDate(weekStart.getDate() + 6)
-    return {
-      begin: toSeconds(toDayStart(weekStart)),
-      end: toSeconds(toDayEnd(weekEnd)),
-      label: '本周'
-    }
-  }
-
-  if (preset === 'last_week') {
-    const thisWeekStart = getWeekStart(now)
-    const lastWeekStart = new Date(thisWeekStart)
-    lastWeekStart.setDate(lastWeekStart.getDate() - 7)
-    const lastWeekEnd = new Date(thisWeekStart)
-    lastWeekEnd.setDate(lastWeekEnd.getDate() - 1)
-    return {
-      begin: toSeconds(toDayStart(lastWeekStart)),
-      end: toSeconds(toDayEnd(lastWeekEnd)),
-      label: '上周'
-    }
-  }
-
-  const customStartDate = customStart ? new Date(`${customStart}T00:00:00`) : toDayStart(now)
-  const customEndDate = customEnd ? new Date(`${customEnd}T23:59:59`) : toDayEnd(now)
-  const begin = toSeconds(customStartDate)
-  const end = Math.max(begin, toSeconds(customEndDate))
-
-  return {
-    begin,
-    end,
-    label: `${toDateInputValue(customStartDate)} 至 ${toDateInputValue(customEndDate)}`
-  }
-}
-
-function MyFootprintPage() {
-  const navigate = useNavigate()
-  const [preset, setPreset] = useState<RangePreset>('today')
-  const [customStartDate, setCustomStartDate] = useState(() => toDateInputValue(toDayStart(new Date())))
-  const [customEndDate, setCustomEndDate] = useState(() => toDateInputValue(toDayStart(new Date())))
-  const [searchKeyword, setSearchKeyword] = useState('')
-  const [timelineMode, setTimelineMode] = useState<TimelineMode>('all')
-  const [data, setData] = useState<MyFootprintData>(EMPTY_DATA)
-  const [loading, setLoading] = useState(false)
-  const [exporting, setExporting] = useState(false)
-  const [exportModalStatus, setExportModalStatus] = useState<ExportModalStatus>('idle')
-  const [exportModalTitle, setExportModalTitle] = useState('')
-  const [exportModalDescription, setExportModalDescription] = useState('')
-  const [exportModalPath, setExportModalPath] = useState('')
-  const [error, setError] = useState<string | null>(null)
-  const [footprintAiStatus, setFootprintAiStatus] = useState<FootprintAiStatus>('idle')
-  const [footprintAiText, setFootprintAiText] = useState('')
-  const inflightRangeKeyRef = useRef<string | null>(null)
-
-  const currentRange = useMemo(() => buildRange(preset, customStartDate, customEndDate), [preset, customStartDate, customEndDate])
-  const timelineTimeMode = useMemo<TimelineTimeMode>(() => {
-    const span = Math.max(0, currentRange.end - currentRange.begin)
-    if (span > 365 * 24 * 60 * 60) return 'full_date_clock'
-    if (span > 24 * 60 * 60) return 'month_day_clock'
-    return 'clock'
-  }, [currentRange.begin, currentRange.end])
-
-  const handleJump = useCallback((sessionId: string, localId: number, createTime: number) => {
-    if (!sessionId || !localId || !createTime) return
-    const query = new URLSearchParams({
-      sessionId,
-      jumpLocalId: String(localId),
-      jumpCreateTime: String(createTime),
-      jumpSource: 'footprint'
-    })
-    navigate(`/chat?${query.toString()}`)
-  }, [navigate])
-
-  const loadData = useCallback(async () => {
-    const rangeKey = `${currentRange.begin}-${currentRange.end}`
-    if (inflightRangeKeyRef.current === rangeKey) {
-      return
-    }
-    inflightRangeKeyRef.current = rangeKey
-    setLoading(true)
-    setError(null)
-    try {
-      const result = await window.electronAPI.chat.getMyFootprintStats(currentRange.begin, currentRange.end)
-      if (!result.success || !result.data) {
-        setError(result.error || '读取统计失败')
-        setData(EMPTY_DATA)
-        return
-      }
-      setData({
-        ...result.data,
-        private_segments: Array.isArray(result.data.private_segments) ? result.data.private_segments : []
-      })
-    } catch (loadError) {
-      setError(String(loadError))
-      setData(EMPTY_DATA)
-    } finally {
-      setLoading(false)
-      if (inflightRangeKeyRef.current === rangeKey) {
-        inflightRangeKeyRef.current = null
-      }
-    }
-  }, [currentRange.begin, currentRange.end])
-
-  useEffect(() => {
-    void loadData()
-  }, [loadData])
-
-  const keyword = searchKeyword.trim().toLowerCase()
-
-  const privateSessionMetaMap = useMemo(() => {
-    const map = new Map<string, { displayName?: string; avatarUrl?: string }>()
-    for (const item of data.private_sessions) {
-      map.set(item.session_id, {
-        displayName: item.displayName,
-        avatarUrl: item.avatarUrl
-      })
-    }
-    for (const item of data.private_segments) {
-      if (!map.has(item.session_id)) {
-        map.set(item.session_id, {
-          displayName: item.displayName,
-          avatarUrl: item.avatarUrl
-        })
-      }
-    }
-    return map
-  }, [data.private_sessions, data.private_segments])
-
-  const filteredMentions = useMemo(() => {
-    if (!keyword) return data.mentions
-    return data.mentions.filter((item) => {
-      const sessionName = (item.sessionDisplayName || '').toLowerCase()
-      const senderName = (item.senderDisplayName || '').toLowerCase()
-      const sender = item.sender_username.toLowerCase()
-      const content = normalizeFootprintMessageContent(item.message_content).toLowerCase()
-      return sessionName.includes(keyword) || senderName.includes(keyword) || sender.includes(keyword) || content.includes(keyword)
-    })
-  }, [data.mentions, keyword])
-
-  const filteredPrivateSegments = useMemo(() => {
-    const rawSegments = data.private_segments.length > 0
-      ? data.private_segments
-      : data.private_sessions.map((item, index) => ({
-          session_id: item.session_id,
-          segment_index: index + 1,
-          start_ts: item.first_incoming_ts > 0
-            ? item.first_incoming_ts
-            : item.first_reply_ts > 0
-              ? item.first_reply_ts
-              : item.latest_ts,
-          end_ts: item.latest_ts,
-          duration_sec: Math.max(0, item.latest_ts - (item.first_incoming_ts || item.first_reply_ts || item.latest_ts)),
-          incoming_count: item.incoming_count,
-          outgoing_count: item.outgoing_count,
-          message_count: Math.max(0, item.incoming_count + item.outgoing_count),
-          replied: item.replied,
-          first_incoming_ts: item.first_incoming_ts,
-          first_reply_ts: item.first_reply_ts,
-          latest_ts: item.latest_ts,
-          anchor_local_id: item.anchor_local_id,
-          anchor_create_time: item.anchor_create_time,
-          displayName: item.displayName,
-          avatarUrl: item.avatarUrl
-        }))
-
-    if (!keyword) return rawSegments
-    return rawSegments.filter((item) => {
-      const meta = privateSessionMetaMap.get(item.session_id)
-      const name = String(item.displayName || meta?.displayName || '').toLowerCase()
-      const id = item.session_id.toLowerCase()
-      return name.includes(keyword) || id.includes(keyword)
-    })
-  }, [data.private_segments, data.private_sessions, keyword, privateSessionMetaMap])
-
-  const mentionGroupMetaMap = useMemo(() => {
-    const map = new Map<string, { displayName?: string; avatarUrl?: string }>()
-    for (const item of data.mention_groups) {
-      map.set(item.session_id, { displayName: item.displayName, avatarUrl: item.avatarUrl })
-    }
-    for (const item of data.private_sessions) {
-      if (!map.has(item.session_id)) {
-        map.set(item.session_id, { displayName: item.displayName, avatarUrl: item.avatarUrl })
-      }
-    }
-    return map
-  }, [data.mention_groups, data.private_sessions])
-
-  const mentionTimelineItems = useMemo<TimelineMentionItem[]>(() => {
-    return filteredMentions
-      .filter((item) => item.create_time > 0)
-      .map((item) => {
-        const groupMeta = mentionGroupMetaMap.get(item.session_id)
-        return {
-          kind: 'mention' as const,
-          key: `mention:${item.session_id}:${item.local_id}`,
-          time: item.create_time,
-          sessionId: item.session_id,
-          localId: item.local_id,
-          createTime: item.create_time,
-          groupName: item.sessionDisplayName || groupMeta?.displayName || item.session_id,
-          groupAvatarUrl: groupMeta?.avatarUrl,
-          senderName: item.senderDisplayName || item.sender_username || '未知',
-          messageContent: normalizeFootprintMessageContent(item.message_content)
-        }
-      })
-  }, [filteredMentions, mentionGroupMetaMap])
-
-  const privateTimelineItems = useMemo<TimelinePrivateItem[]>(() => {
-    return filteredPrivateSegments
-      .map((item) => {
-        const startTime = item.start_ts > 0
-          ? item.start_ts
-          : item.first_incoming_ts > 0
-            ? item.first_incoming_ts
-            : item.first_reply_ts > 0
-              ? item.first_reply_ts
-              : item.latest_ts
-
-        const endTime = item.end_ts > 0 ? item.end_ts : item.latest_ts
-        const isRange = endTime > startTime + 60
-        const totalInteractions = Math.max(0, item.message_count || (item.incoming_count + item.outgoing_count))
-        const durationLabel = item.duration_sec > 0
-          ? `持续 ${Math.max(1, Math.round(item.duration_sec / 60))} 分钟`
-          : formatDurationLabel(startTime, endTime)
-        const subtitle = isRange
-          ? `${formatTimelineMoment(startTime, timelineTimeMode)} 至 ${formatTimelineMoment(endTime || startTime, timelineTimeMode)} · ${durationLabel}`
-          : ''
-        const summaryText = `收到 ${item.incoming_count} 条 / 发送 ${item.outgoing_count} 条${item.replied ? ' · 已回复' : ''}`
-        const sessionMeta = privateSessionMetaMap.get(item.session_id)
-        let dotVariant: PrivateDotVariant = 'both'
-        if (item.incoming_count > 0 && item.outgoing_count === 0) {
-          dotVariant = 'inbound_only'
-        } else if (item.incoming_count === 0 && item.outgoing_count > 0) {
-          dotVariant = 'outbound_only'
-        }
-
-        return {
-          kind: 'private' as const,
-          key: `private:${item.session_id}:${item.segment_index}:${item.start_ts}`,
-          time: startTime,
-          endTime,
-          sessionId: item.session_id,
-          anchorLocalId: item.anchor_local_id,
-          anchorCreateTime: item.anchor_create_time,
-          displayName: item.displayName || sessionMeta?.displayName || item.session_id,
-          avatarUrl: item.avatarUrl || sessionMeta?.avatarUrl,
-          subtitle,
-          totalInteractions,
-          summaryText,
-          dotVariant,
-          isRange
-        }
-      })
-      .filter((item) => item.time > 0)
-  }, [filteredPrivateSegments, privateSessionMetaMap, timelineTimeMode])
-
-  const timelineItems = useMemo<TimelineItem[]>(() => {
-    const events: TimelineItem[] = []
-    if (timelineMode !== 'private') {
-      events.push(...mentionTimelineItems)
-    }
-    if (timelineMode !== 'mention') {
-      events.push(...privateTimelineItems)
-    }
-
-    events.sort((a, b) => {
-      if (a.time !== b.time) return a.time - b.time
-      const rankA = a.kind === 'mention' ? 0 : a.kind === 'private' ? 1 : 2
-      const rankB = b.kind === 'mention' ? 0 : b.kind === 'private' ? 1 : 2
-      return rankA - rankB
-    })
-
-    const presetLabel = resolveRangePresetLabel(preset)
-    const startNode: TimelineBoundaryItem = {
-      kind: 'boundary',
-      edge: 'start',
-      key: 'boundary:start',
-      time: currentRange.begin,
-      label: `区域时间开始（${presetLabel}）`
-    }
-
-    const endNode: TimelineBoundaryItem = {
-      kind: 'boundary',
-      edge: 'end',
-      key: 'boundary:end',
-      time: currentRange.end,
-      label: `区域时间结束（${preset === 'today' ? '现在' : presetLabel}）`
-    }
-
-    return [startNode, ...events, endNode]
-  }, [timelineMode, mentionTimelineItems, privateTimelineItems, currentRange.begin, currentRange.end, preset])
-
-  const timelineEventCount = useMemo(
-    () => timelineItems.filter((item) => item.kind !== 'boundary').length,
-    [timelineItems]
-  )
-
-  const handleExport = useCallback(async (format: 'csv' | 'json') => {
-    try {
-      setExporting(true)
-      setExportModalStatus('progress')
-      setExportModalTitle(`正在准备导出 ${format.toUpperCase()}`)
-      setExportModalDescription('正在准备文件保存信息...')
-      setExportModalPath('')
-      const downloadsPath = await window.electronAPI.app.getDownloadsPath()
-      const separator = downloadsPath && downloadsPath.includes('\\') ? '\\' : '/'
-      const rangeName = currentRange.label.replace(/[\\/:*?"<>|\s]+/g, '_')
-      const suggestedName = `my_footprint_${rangeName}_${Date.now()}.${format}`
-      const defaultPath = downloadsPath ? `${downloadsPath}${separator}${suggestedName}` : suggestedName
-
-      setExportModalDescription('请在弹窗中选择导出路径...')
-      const saveResult = await window.electronAPI.dialog.saveFile({
-        title: format === 'csv' ? '导出我的足迹 CSV' : '导出我的足迹 JSON',
-        defaultPath,
-        filters: format === 'csv'
-          ? [{ name: 'CSV', extensions: ['csv'] }]
-          : [{ name: 'JSON', extensions: ['json'] }]
-      })
-      if (saveResult.canceled || !saveResult.filePath) {
-        setExportModalStatus('idle')
-        setExportModalTitle('')
-        setExportModalDescription('')
-        setExportModalPath('')
-        return
-      }
-
-      setExportModalDescription('正在导出数据，请稍候...')
-      setExportModalPath(saveResult.filePath)
-      const exportResult = await window.electronAPI.chat.exportMyFootprint(
-        currentRange.begin,
-        currentRange.end,
-        format,
-        saveResult.filePath
-      )
-      if (!exportResult.success) {
-        setExportModalStatus('error')
-        setExportModalTitle('导出失败')
-        setExportModalDescription(exportResult.error || '未知错误')
-        setExportModalPath(saveResult.filePath)
-        return
-      }
-      setExportModalStatus('success')
-      setExportModalTitle('导出完成')
-      setExportModalDescription(`文件已成功导出为 ${format.toUpperCase()}。`)
-      setExportModalPath(exportResult.filePath || saveResult.filePath)
-    } catch (exportError) {
-      setExportModalStatus('error')
-      setExportModalTitle('导出失败')
-      setExportModalDescription(String(exportError))
-    } finally {
-      setExporting(false)
-    }
-  }, [currentRange.begin, currentRange.end, currentRange.label])
-
-  const handleGenerateAiSummary = useCallback(async () => {
-    setFootprintAiStatus('loading')
-    setFootprintAiText('')
-    try {
-      const privateSegments = (data.private_segments.length > 0 ? data.private_segments : data.private_sessions).slice(0, 12)
-      const result = await window.electronAPI.insight.generateFootprintInsight({
-        rangeLabel: currentRange.label,
-        summary: data.summary,
-        privateSegments: privateSegments.map((item: MyFootprintPrivateSegment | MyFootprintPrivateSession) => ({
-          session_id: item.session_id,
-          displayName: item.displayName,
-          incoming_count: item.incoming_count,
-          outgoing_count: item.outgoing_count,
-          message_count: 'message_count' in item ? item.message_count : item.incoming_count + item.outgoing_count,
-          replied: item.replied
-        })),
-        mentionGroups: data.mention_groups.slice(0, 12).map((item) => ({
-          session_id: item.session_id,
-          displayName: item.displayName,
-          count: item.count
-        }))
-      })
-      if (!result.success || !result.insight) {
-        setFootprintAiStatus('error')
-        setFootprintAiText(result.message || '生成失败')
-        return
-      }
-      setFootprintAiStatus('success')
-      setFootprintAiText(result.insight)
-    } catch (generateError) {
-      setFootprintAiStatus('error')
-      setFootprintAiText(String(generateError))
-    }
-  }, [currentRange.label, data])
-
-  return (
-    <div className="my-footprint-page">
-      <section className="footprint-header">
-        <div className="footprint-title-wrap">
-          <h1>我的微信足迹</h1>
-          <p>范围：{currentRange.label}</p>
-        </div>
-
-        <div className="footprint-toolbar">
-          <div className="range-preset-group">
-            {[
-              { value: 'today', label: '今天' },
-              { value: 'yesterday', label: '昨天' },
-              { value: 'this_week', label: '本周' },
-              { value: 'last_week', label: '上周' },
-              { value: 'custom', label: '自定义' }
-            ].map((item) => (
-              <button
-                key={item.value}
-                type="button"
-                className={`preset-chip ${preset === item.value ? 'active' : ''}`}
-                onClick={() => setPreset(item.value as RangePreset)}
-              >
-                {item.label}
-              </button>
-            ))}
-          </div>
-
-          {preset === 'custom' && (
-            <div className="custom-range-row">
-              <DateRangePicker
-                startDate={customStartDate}
-                endDate={customEndDate}
-                onStartDateChange={setCustomStartDate}
-                onEndDateChange={setCustomEndDate}
-              />
-            </div>
-          )}
-
-          <div className="toolbar-actions">
-            <div className="search-input">
-              <Search size={15} />
-              <input
-                value={searchKeyword}
-                onChange={(event) => setSearchKeyword(event.target.value)}
-                placeholder="搜索联系人/群聊/内容"
-              />
-            </div>
-            <button type="button" className="action-btn" onClick={() => void loadData()} disabled={loading}>
-              <RefreshCw size={15} className={loading ? 'spin' : ''} />
-              <span>刷新</span>
-            </button>
-            <button type="button" className="action-btn" onClick={() => void handleGenerateAiSummary()} disabled={loading || footprintAiStatus === 'loading'}>
-              {footprintAiStatus === 'loading' ? <Loader2 size={15} className="spin" /> : <Sparkles size={15} />}
-              <span>{footprintAiStatus === 'loading' ? '生成中...' : 'AI 总结'}</span>
-            </button>
-            <button type="button" className="action-btn" onClick={() => void handleExport('csv')} disabled={exporting || loading}>
-              <Download size={15} />
-              <span>导出 CSV</span>
-            </button>
-            <button type="button" className="action-btn" onClick={() => void handleExport('json')} disabled={exporting || loading}>
-              <Download size={15} />
-              <span>导出 JSON</span>
-            </button>
-          </div>
-        </div>
-      </section>
-
-      {loading ? (
-        <section className="footprint-loading" aria-live="polite">
-          <div className="kpi-skeleton-grid">
-            {Array.from({ length: 4 }).map((_, index) => (
-              <div key={index} className="kpi-skeleton-card skeleton-shimmer" />
-            ))}
-          </div>
-          <div className="timeline-skeleton-list">
-            {Array.from({ length: 7 }).map((_, index) => (
-              <div key={index} className="timeline-skeleton-item skeleton-shimmer" />
-            ))}
-          </div>
-        </section>
-      ) : error ? (
-        <section className="footprint-error" role="alert">
-          <h3>读取我的足迹失败</h3>
-          <p>{error}</p>
-          <button type="button" className="action-btn" onClick={() => void loadData()}>
-            <RefreshCw size={15} />
-            <span>重试</span>
-          </button>
-        </section>
-      ) : (
-        <>
-          <section className="kpi-grid">
-            <button type="button" className="kpi-card" onClick={() => setTimelineMode('private')}>
-              <span className="kpi-label">有聊天的人数</span>
-              <strong>{data.summary.private_inbound_people}</strong>
-              <small>回复了其中 {data.summary.private_replied_people} 人</small>
-            </button>
-            <button type="button" className="kpi-card" onClick={() => setTimelineMode('private')}>
-              <span className="kpi-label">我有回复的人数</span>
-              <strong>{data.summary.private_outbound_people}</strong>
-              <small>回复率 {formatPercent(data.summary.private_reply_rate)}</small>
-            </button>
-            <button type="button" className="kpi-card" onClick={() => setTimelineMode('mention')}>
-              <span className="kpi-label">@我次数</span>
-              <strong>{data.summary.mention_count}</strong>
-              <small>可点击查看原消息</small>
-            </button>
-            <button type="button" className="kpi-card" onClick={() => setTimelineMode('mention')}>
-              <span className="kpi-label">涉及群聊</span>
-              <strong>{data.summary.mention_group_count}</strong>
-              <small>按群聚合 @我消息</small>
-            </button>
-          </section>
-
-          {footprintAiStatus !== 'idle' && (
-            <section className={`footprint-ai-result footprint-ai-result-${footprintAiStatus}`}>
-              <div className="footprint-ai-head">
-                <strong>AI 足迹总结</strong>
-                <span>{currentRange.label}</span>
-              </div>
-              <p>{footprintAiText}</p>
-            </section>
-          )}
-
-          <section
-            className={`footprint-timeline timeline-time-${timelineTimeMode}`}
-            key={`${timelineMode}:${currentRange.begin}:${currentRange.end}`}
-          >
-            <div className="timeline-head">
-              <div className="timeline-head-left">
-                <h2>联络时间线</h2>
-                <p>最上方是时间区间开始，最下方是时间区间终点，中间按时间展示群聊 @我 与私聊分段会话节点。</p>
-              </div>
-              <div className="timeline-mode-row">
-                <button
-                  type="button"
-                  className={`timeline-mode-chip ${timelineMode === 'all' ? 'active' : ''}`}
-                  onClick={() => setTimelineMode('all')}
-                >
-                  全部 {timelineEventCount}
-                </button>
-                <button
-                  type="button"
-                  className={`timeline-mode-chip ${timelineMode === 'mention' ? 'active' : ''}`}
-                  onClick={() => setTimelineMode('mention')}
-                >
-                  @我群聊 {mentionTimelineItems.length}
-                </button>
-                <button
-                  type="button"
-                  className={`timeline-mode-chip ${timelineMode === 'private' ? 'active' : ''}`}
-                  onClick={() => setTimelineMode('private')}
-                >
-                  私聊 {privateTimelineItems.length}
-                </button>
-              </div>
-            </div>
-
-            {timelineEventCount === 0 ? (
-              <div className="panel-empty-state">当前区间暂无联络事件，试试切换日期范围或清空关键词筛选。</div>
-            ) : (
-              <div className="timeline-stream">
-                {timelineItems.map((item, index) => (
-                  <div
-                    key={item.key}
-                    className={`timeline-item timeline-item-${item.kind}`}
-                    style={{ animationDelay: `${Math.min(index, 12) * 0.04}s` }}
-                  >
-                    <div className={`timeline-time timeline-time-${item.kind}`}>
-                      {item.kind === 'private' ? (
-                        <div className="timeline-time-range">
-                          <span className="timeline-time-main">{formatTimelineMoment(item.time, timelineTimeMode)}</span>
-                          {item.isRange && (
-                            <span className="timeline-time-end-wrap">
-                              <span className="timeline-time-end">{formatTimelineMoment(item.endTime, timelineTimeMode)}</span>
-                            </span>
-                          )}
-                        </div>
-                      ) : (
-                        formatTimelineMoment(item.time, timelineTimeMode)
-                      )}
-                    </div>
-                    <div className={`timeline-dot-col timeline-dot-col-${item.kind}`}>
-                      {item.kind === 'private' ? (
-                        <div className="timeline-dot-range">
-                          <div className={`timeline-dot timeline-dot-private timeline-dot-private-start timeline-dot-private-${item.dotVariant}`} />
-                          {item.isRange && (
-                            <>
-                              <div className={`timeline-dot-range-line timeline-dot-range-line-${item.dotVariant}`} />
-                              <div className={`timeline-dot timeline-dot-private timeline-dot-private-end timeline-dot-private-${item.dotVariant}`} />
-                            </>
-                          )}
-                        </div>
-                      ) : (
-                        <div className={`timeline-dot timeline-dot-${item.kind}${item.kind === 'boundary' ? ` timeline-dot-${item.edge}` : ''}`} />
-                      )}
-                    </div>
-                    <div className="timeline-content-wrap">
-                      {item.kind === 'boundary' && (
-                        <div className={`timeline-boundary timeline-boundary-${item.edge}`}>{item.label}</div>
-                      )}
-
-                      {item.kind === 'mention' && (
-                        <div className="timeline-card timeline-card-mention">
-                          <div className="timeline-card-head">
-                            <div className="timeline-identity">
-                              <div className="timeline-avatar">
-                                {item.groupAvatarUrl ? (
-                                  <img src={item.groupAvatarUrl} alt={item.groupName} />
-                                ) : (
-                                  <Users size={16} />
-                                )}
-                              </div>
-                              <div className="timeline-title-group">
-                                <div className="timeline-title">{item.groupName}</div>
-                                <div className="timeline-subtitle">发送人：{item.senderName}</div>
-                              </div>
-                            </div>
-                            <button
-                              type="button"
-                              className="jump-btn timeline-jump-btn"
-                              onClick={() => handleJump(item.sessionId, item.localId, item.createTime)}
-                            >
-                              跳转
-                            </button>
-                          </div>
-                          <div className="timeline-message mention-message">{renderMentionContent(item.messageContent)}</div>
-                        </div>
-                      )}
-
-                      {item.kind === 'private' && (
-                        <div className="timeline-card timeline-card-private">
-                          <div className="timeline-card-head">
-                            <div className="timeline-identity">
-                              <div className="timeline-avatar timeline-avatar-private">
-                                {item.avatarUrl ? (
-                                  <img src={item.avatarUrl} alt={item.displayName} />
-                                ) : (
-                                  <MessageCircle size={16} />
-                                )}
-                              </div>
-                              <div className="timeline-title-group">
-                                <div className="timeline-title">{item.displayName}</div>
-                                <div className="timeline-subtitle">{item.subtitle}</div>
-                              </div>
-                            </div>
-                            <div className="timeline-right-tools">
-                              <span className="timeline-count-badge">共 {item.totalInteractions} 条</span>
-                              <button
-                                type="button"
-                                className="jump-btn timeline-jump-btn"
-                                disabled={!item.anchorLocalId || !item.anchorCreateTime}
-                                onClick={() => handleJump(item.sessionId, item.anchorLocalId, item.anchorCreateTime)}
-                              >
-                                跳转
-                              </button>
-                            </div>
-                          </div>
-                          <div className="timeline-message private-message">{item.summaryText}</div>
-                        </div>
-                      )}
-                    </div>
-                  </div>
-                ))}
-              </div>
-            )}
-          </section>
-        </>
-      )}
-      {exportModalStatus !== 'idle' && (
-        <div className="footprint-export-modal-mask" role="presentation">
-          <div className="footprint-export-modal" role="dialog" aria-modal="true" aria-live="polite">
-            <div className={`export-modal-icon export-modal-icon-${exportModalStatus}`}>
-              {exportModalStatus === 'progress' && <RefreshCw size={20} className="spin" />}
-              {exportModalStatus === 'success' && <CheckCircle2 size={20} />}
-              {exportModalStatus === 'error' && <AlertCircle size={20} />}
-            </div>
-            <h3>{exportModalTitle}</h3>
-            <p>{exportModalDescription}</p>
-            {exportModalPath && <code className="export-modal-path">{exportModalPath}</code>}
-            {exportModalStatus !== 'progress' && (
-              <div className="export-modal-actions">
-                <button
-                  type="button"
-                  className="action-btn"
-                  onClick={() => {
-                    setExportModalStatus('idle')
-                    setExportModalTitle('')
-                    setExportModalDescription('')
-                    setExportModalPath('')
-                  }}
-                >
-                  知道了
-                </button>
-              </div>
-            )}
-          </div>
-        </div>
-      )}
-    </div>
-  )
-}
-
-export default MyFootprintPage

src/pages/SettingsPage.scss

@@ -177,66 +177,6 @@
       box-shadow: var(--shadow-sm);
     }
   }
-
-  .tab-group {
-    display: flex;
-    flex-direction: column;
-    gap: 4px;
-  }
-
-  .tab-group-trigger {
-    position: relative;
-  }
-
-  .tab-group-arrow {
-    margin-left: auto;
-    color: var(--text-tertiary);
-    transition: transform 0.2s ease;
-
-    &.expanded {
-      transform: rotate(180deg);
-    }
-  }
-
-  .tab-sublist {
-    display: flex;
-    flex-direction: column;
-    gap: 4px;
-    padding-left: 8px;
-  }
-
-  .tab-sublist-wrap {
-    display: grid;
-    grid-template-rows: 0fr;
-    opacity: 0;
-    transition: grid-template-rows 0.22s ease, opacity 0.18s ease;
-
-    &.expanded {
-      grid-template-rows: 1fr;
-      opacity: 1;
-    }
-
-    &.collapsed {
-      pointer-events: none;
-    }
-  }
-
-  .tab-sublist {
-    min-height: 0;
-    overflow: hidden;
-  }
-
-  .tab-sub-btn {
-    padding-left: 24px;
-    font-size: 13px;
-  }
-
-  .tab-sub-dot {
-    width: 5px;
-    height: 5px;
-    border-radius: 999px;
-    background: color-mix(in srgb, var(--text-tertiary) 70%, transparent);
-  }
 }
 
 .settings-body {
@@ -259,12 +199,6 @@
   }
 }
 
-.ai-prompt-textarea {
-  font-family: inherit !important;
-  font-size: 14px !important;
-  line-height: 1.6;
-}
-
 .tab-content {
   background: var(--bg-secondary);
   border: 1px solid var(--border-color);

src/pages/SettingsPage.tsx

@@ -16,23 +16,9 @@ import {
 import { Avatar } from '../components/Avatar'
 import './SettingsPage.scss'
 
-type SettingsTab =
-  | 'appearance'
-  | 'notification'
-  | 'antiRevoke'
-  | 'database'
-  | 'models'
-  | 'cache'
-  | 'api'
-  | 'updates'
-  | 'security'
-  | 'about'
-  | 'analytics'
-  | 'aiCommon'
-  | 'insight'
-  | 'aiFootprint'
+type SettingsTab = 'appearance' | 'notification' | 'antiRevoke' | 'database' | 'models' | 'cache' | 'api' | 'updates' | 'security' | 'about' | 'analytics' | 'insight'
 
-const tabs: { id: Exclude<SettingsTab, 'insight' | 'aiFootprint'>; label: string; icon: React.ElementType }[] = [
+const tabs: { id: SettingsTab; label: string; icon: React.ElementType }[] = [
   { id: 'appearance', label: '外观', icon: Palette },
   { id: 'notification', label: '通知', icon: Bell },
   { id: 'antiRevoke', label: '防撤回', icon: RotateCcw },
@@ -41,17 +27,12 @@ const tabs: { id: Exclude<SettingsTab, 'insight' | 'aiFootprint'>; label: string
   { id: 'cache', label: '缓存', icon: HardDrive },
   { id: 'api', label: 'API 服务', icon: Globe },
   { id: 'analytics', label: '分析', icon: BarChart2 },
+  { id: 'insight', label: 'AI 见解', icon: Sparkles },
   { id: 'security', label: '安全', icon: ShieldCheck },
   { id: 'updates', label: '版本更新', icon: RefreshCw },
   { id: 'about', label: '关于', icon: Info }
 ]
 
-const aiTabs: Array<{ id: Extract<SettingsTab, 'aiCommon' | 'insight' | 'aiFootprint'>; label: string }> = [
-  { id: 'aiCommon', label: 'AI 通用' },
-  { id: 'insight', label: 'AI 见解' },
-  { id: 'aiFootprint', label: 'AI 足迹' }
-]
-
 const isMac = navigator.userAgent.toLowerCase().includes('mac')
 const isLinux = navigator.userAgent.toLowerCase().includes('linux')
 const isWindows = !isMac && !isLinux
@@ -107,7 +88,6 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
   const clearAnalyticsStoreCache = useAnalyticsStore((state) => state.clearCache)
 
   const [activeTab, setActiveTab] = useState<SettingsTab>('appearance')
-  const [aiGroupExpanded, setAiGroupExpanded] = useState(false)
   const [decryptKey, setDecryptKey] = useState('')
   const [imageXorKey, setImageXorKey] = useState('')
   const [imageAesKey, setImageAesKey] = useState('')
@@ -145,7 +125,7 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
 
     setHttpApiToken(token)
     await configService.setHttpApiToken(token)
-    showMessage('已生成并保存新的 Access Token', true)
+    showMessage('已生成<EFBFBD><EFBFBD>保存新的 Access Token', true)
   }
 
   const clearApiToken = async () => {
@@ -237,19 +217,9 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
 
   // AI 见解 state
   const [aiInsightEnabled, setAiInsightEnabled] = useState(false)
-  const [aiModelApiBaseUrl, setAiModelApiBaseUrl] = useState('')
-  const [aiModelApiKey, setAiModelApiKey] = useState('')
-  const [aiModelApiModel, setAiModelApiModel] = useState('gpt-4o-mini')
-  const [aiAgentMaxMessagesPerRequest, setAiAgentMaxMessagesPerRequest] = useState(120)
-  const [aiAgentMaxHistoryRounds, setAiAgentMaxHistoryRounds] = useState(12)
-  const [aiAgentEnableAutoSkill, setAiAgentEnableAutoSkill] = useState(true)
-  const [aiAgentSearchContextBefore, setAiAgentSearchContextBefore] = useState(3)
-  const [aiAgentSearchContextAfter, setAiAgentSearchContextAfter] = useState(3)
-  const [aiAgentPreprocessClean, setAiAgentPreprocessClean] = useState(true)
-  const [aiAgentPreprocessMerge, setAiAgentPreprocessMerge] = useState(true)
-  const [aiAgentPreprocessDenoise, setAiAgentPreprocessDenoise] = useState(true)
-  const [aiAgentPreprocessDesensitize, setAiAgentPreprocessDesensitize] = useState(false)
-  const [aiAgentPreprocessAnonymize, setAiAgentPreprocessAnonymize] = useState(false)
+  const [aiInsightApiBaseUrl, setAiInsightApiBaseUrl] = useState('')
+  const [aiInsightApiKey, setAiInsightApiKey] = useState('')
+  const [aiInsightApiModel, setAiInsightApiModel] = useState('gpt-4o-mini')
   const [aiInsightSilenceDays, setAiInsightSilenceDays] = useState(3)
   const [aiInsightAllowContext, setAiInsightAllowContext] = useState(false)
   const [isTestingInsight, setIsTestingInsight] = useState(false)
@@ -267,8 +237,6 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
   const [aiInsightTelegramEnabled, setAiInsightTelegramEnabled] = useState(false)
   const [aiInsightTelegramToken, setAiInsightTelegramToken] = useState('')
   const [aiInsightTelegramChatIds, setAiInsightTelegramChatIds] = useState('')
-  const [aiFootprintEnabled, setAiFootprintEnabled] = useState(false)
-  const [aiFootprintSystemPrompt, setAiFootprintSystemPrompt] = useState('')
 
   // 检查 Hello 可用性
   useEffect(() => {
@@ -308,12 +276,6 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
     setActiveTab(initialTab)
   }, [location.state])
 
-  useEffect(() => {
-    if (activeTab === 'aiCommon' || activeTab === 'insight' || activeTab === 'aiFootprint') {
-      setAiGroupExpanded(true)
-    }
-  }, [activeTab])
-
   useEffect(() => {
     if (!onClose) return
     const handleKeyDown = (event: KeyboardEvent) => {
@@ -486,19 +448,9 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
 
       // 加载 AI 见解配置
       const savedAiInsightEnabled = await configService.getAiInsightEnabled()
-      const savedAiModelApiBaseUrl = await configService.getAiModelApiBaseUrl()
-      const savedAiModelApiKey = await configService.getAiModelApiKey()
-      const savedAiModelApiModel = await configService.getAiModelApiModel()
-      const savedAiAgentMaxMessagesPerRequest = await configService.getAiAgentMaxMessagesPerRequest()
-      const savedAiAgentMaxHistoryRounds = await configService.getAiAgentMaxHistoryRounds()
-      const savedAiAgentEnableAutoSkill = await configService.getAiAgentEnableAutoSkill()
-      const savedAiAgentSearchContextBefore = await configService.getAiAgentSearchContextBefore()
-      const savedAiAgentSearchContextAfter = await configService.getAiAgentSearchContextAfter()
-      const savedAiAgentPreprocessClean = await configService.getAiAgentPreprocessClean()
-      const savedAiAgentPreprocessMerge = await configService.getAiAgentPreprocessMerge()
-      const savedAiAgentPreprocessDenoise = await configService.getAiAgentPreprocessDenoise()
-      const savedAiAgentPreprocessDesensitize = await configService.getAiAgentPreprocessDesensitize()
-      const savedAiAgentPreprocessAnonymize = await configService.getAiAgentPreprocessAnonymize()
+      const savedAiInsightApiBaseUrl = await configService.getAiInsightApiBaseUrl()
+      const savedAiInsightApiKey = await configService.getAiInsightApiKey()
+      const savedAiInsightApiModel = await configService.getAiInsightApiModel()
       const savedAiInsightSilenceDays = await configService.getAiInsightSilenceDays()
   const savedAiInsightAllowContext = await configService.getAiInsightAllowContext()
   const savedAiInsightWhitelistEnabled = await configService.getAiInsightWhitelistEnabled()
@@ -510,22 +462,10 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
   const savedAiInsightTelegramEnabled = await configService.getAiInsightTelegramEnabled()
   const savedAiInsightTelegramToken = await configService.getAiInsightTelegramToken()
   const savedAiInsightTelegramChatIds = await configService.getAiInsightTelegramChatIds()
-  const savedAiFootprintEnabled = await configService.getAiFootprintEnabled()
-  const savedAiFootprintSystemPrompt = await configService.getAiFootprintSystemPrompt()
   setAiInsightEnabled(savedAiInsightEnabled)
-  setAiModelApiBaseUrl(savedAiModelApiBaseUrl)
-  setAiModelApiKey(savedAiModelApiKey)
-  setAiModelApiModel(savedAiModelApiModel)
-  setAiAgentMaxMessagesPerRequest(savedAiAgentMaxMessagesPerRequest)
-  setAiAgentMaxHistoryRounds(savedAiAgentMaxHistoryRounds)
-  setAiAgentEnableAutoSkill(savedAiAgentEnableAutoSkill)
-  setAiAgentSearchContextBefore(savedAiAgentSearchContextBefore)
-  setAiAgentSearchContextAfter(savedAiAgentSearchContextAfter)
-  setAiAgentPreprocessClean(savedAiAgentPreprocessClean)
-  setAiAgentPreprocessMerge(savedAiAgentPreprocessMerge)
-  setAiAgentPreprocessDenoise(savedAiAgentPreprocessDenoise)
-  setAiAgentPreprocessDesensitize(savedAiAgentPreprocessDesensitize)
-  setAiAgentPreprocessAnonymize(savedAiAgentPreprocessAnonymize)
+  setAiInsightApiBaseUrl(savedAiInsightApiBaseUrl)
+  setAiInsightApiKey(savedAiInsightApiKey)
+  setAiInsightApiModel(savedAiInsightApiModel)
   setAiInsightSilenceDays(savedAiInsightSilenceDays)
   setAiInsightAllowContext(savedAiInsightAllowContext)
   setAiInsightWhitelistEnabled(savedAiInsightWhitelistEnabled)
@@ -537,8 +477,6 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
   setAiInsightTelegramEnabled(savedAiInsightTelegramEnabled)
   setAiInsightTelegramToken(savedAiInsightTelegramToken)
   setAiInsightTelegramChatIds(savedAiInsightTelegramChatIds)
-  setAiFootprintEnabled(savedAiFootprintEnabled)
-  setAiFootprintSystemPrompt(savedAiFootprintSystemPrompt)
 
     } catch (e: any) {
       console.error('加载配置失败:', e)
@@ -680,7 +618,7 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
       showMessage(`已切换到${channelLabel}更新渠道，正在检查更新`, true)
       await handleCheckUpdate()
     } catch (e: any) {
-      showMessage(`切换更新渠道失败: ${e}`, false)
+      showMessage(`切换更新渠道<EFBFBD><EFBFBD>败: ${e}`, false)
     }
   }
 
@@ -1275,7 +1213,7 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
       if (result.success && result.aesKey) {
         if (typeof result.xorKey === 'number') setImageXorKey(`0x${result.xorKey.toString(16).toUpperCase().padStart(2, '0')}`)
         setImageAesKey(result.aesKey)
-        setImageKeyStatus('已获取图片密钥')
+        setImageKeyStatus('已获取图片<EFBFBD><EFBFBD>钥')
         showMessage('已自动获取图片密钥', true)
         const newXorKey = typeof result.xorKey === 'number' ? result.xorKey : 0
         const newAesKey = result.aesKey
@@ -2560,225 +2498,6 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
     }
   }
 
-  const renderAiCommonTab = () => (
-    <div className="tab-content">
-      <div className="form-group">
-        <label>通用 API 地址</label>
-        <span className="form-hint">
-          这是「AI 见解」与「AI 足迹总结」共享的模型接入配置。填写 OpenAI 兼容接口的 <strong>Base URL</strong>，末尾<strong>不要加斜杠</strong>。
-          程序会自动拼接 <code>/chat/completions</code>。
-          <br />
-          示例：<code>https://api.ohmygpt.com/v1</code> 或 <code>https://api.openai.com/v1</code>
-        </span>
-        <input
-          type="text"
-          className="field-input"
-          value={aiModelApiBaseUrl}
-          placeholder="https://api.ohmygpt.com/v1"
-          onChange={(e) => {
-            const val = e.target.value
-            setAiModelApiBaseUrl(val)
-            scheduleConfigSave('aiModelApiBaseUrl', () => configService.setAiModelApiBaseUrl(val))
-          }}
-        />
-      </div>
-
-      <div className="form-group">
-        <label>通用 API Key</label>
-        <span className="form-hint">
-          你的 API Key，保存后经过系统加密存储，不会明文写入磁盘。
-        </span>
-        <div style={{ display: 'flex', gap: '8px', marginTop: '8px' }}>
-          <input
-            type={showInsightApiKey ? 'text' : 'password'}
-            className="field-input"
-            value={aiModelApiKey}
-            placeholder="sk-..."
-            onChange={(e) => {
-              const val = e.target.value
-              setAiModelApiKey(val)
-              scheduleConfigSave('aiModelApiKey', () => configService.setAiModelApiKey(val))
-            }}
-            style={{ flex: 1 }}
-          />
-          <button
-            className="btn btn-secondary"
-            onClick={() => setShowInsightApiKey(!showInsightApiKey)}
-            title={showInsightApiKey ? '隐藏' : '显示'}
-          >
-            {showInsightApiKey ? <EyeOff size={14} /> : <Eye size={14} />}
-          </button>
-          {aiModelApiKey && (
-            <button
-              className="btn btn-danger"
-              onClick={async () => {
-                setAiModelApiKey('')
-                await configService.setAiModelApiKey('')
-              }}
-              title="清除 Key"
-            >
-              <Trash2 size={14} />
-            </button>
-          )}
-        </div>
-      </div>
-
-      <div className="form-group">
-        <label>通用模型名称</label>
-        <span className="form-hint">
-          填写你的 API 提供商支持的模型名，将同时用于见解和足迹模块。
-          <br />
-          常用示例：<code>gpt-4o-mini</code>、<code>gpt-4o</code>、<code>deepseek-chat</code>、<code>claude-3-5-haiku-20241022</code>
-        </span>
-        <input
-          type="text"
-          className="field-input"
-          value={aiModelApiModel}
-          placeholder="gpt-4o-mini"
-          onChange={(e) => {
-            const val = e.target.value.trim() || 'gpt-4o-mini'
-            setAiModelApiModel(val)
-            scheduleConfigSave('aiModelApiModel', () => configService.setAiModelApiModel(val))
-          }}
-          style={{ width: 260 }}
-        />
-      </div>
-
-      <div className="divider" />
-
-      <div className="form-group">
-        <label>Agent 运行参数</label>
-        <span className="form-hint">
-          控制 AI 分析时的上下文与工具读取规模。
-        </span>
-        <div style={{ display: 'flex', gap: 12, flexWrap: 'wrap', marginTop: 8 }}>
-          <div>
-            <span style={{ fontSize: 12, opacity: 0.8 }}>单次最大消息数</span>
-            <input
-              type="number"
-              className="field-input"
-              value={aiAgentMaxMessagesPerRequest}
-              min={20}
-              max={500}
-              onChange={(e) => {
-                const val = Math.max(20, Math.min(500, parseInt(e.target.value, 10) || 120))
-                setAiAgentMaxMessagesPerRequest(val)
-                scheduleConfigSave('aiAgentMaxMessagesPerRequest', () => configService.setAiAgentMaxMessagesPerRequest(val))
-              }}
-              style={{ width: 130, marginTop: 6 }}
-            />
-          </div>
-          <div>
-            <span style={{ fontSize: 12, opacity: 0.8 }}>历史轮数上限</span>
-            <input
-              type="number"
-              className="field-input"
-              value={aiAgentMaxHistoryRounds}
-              min={4}
-              max={60}
-              onChange={(e) => {
-                const val = Math.max(4, Math.min(60, parseInt(e.target.value, 10) || 12))
-                setAiAgentMaxHistoryRounds(val)
-                scheduleConfigSave('aiAgentMaxHistoryRounds', () => configService.setAiAgentMaxHistoryRounds(val))
-              }}
-              style={{ width: 130, marginTop: 6 }}
-            />
-          </div>
-          <div>
-            <span style={{ fontSize: 12, opacity: 0.8 }}>搜索上下文前后条数</span>
-            <div style={{ display: 'flex', gap: 8, marginTop: 6 }}>
-              <input
-                type="number"
-                className="field-input"
-                value={aiAgentSearchContextBefore}
-                min={0}
-                max={20}
-                onChange={(e) => {
-                  const val = Math.max(0, Math.min(20, parseInt(e.target.value, 10) || 3))
-                  setAiAgentSearchContextBefore(val)
-                  scheduleConfigSave('aiAgentSearchContextBefore', () => configService.setAiAgentSearchContextBefore(val))
-                }}
-                style={{ width: 90 }}
-              />
-              <input
-                type="number"
-                className="field-input"
-                value={aiAgentSearchContextAfter}
-                min={0}
-                max={20}
-                onChange={(e) => {
-                  const val = Math.max(0, Math.min(20, parseInt(e.target.value, 10) || 3))
-                  setAiAgentSearchContextAfter(val)
-                  scheduleConfigSave('aiAgentSearchContextAfter', () => configService.setAiAgentSearchContextAfter(val))
-                }}
-                style={{ width: 90 }}
-              />
-            </div>
-          </div>
-        </div>
-      </div>
-
-      <div className="form-group">
-        <label>技能与预处理</label>
-        <span className="form-hint">
-          自动技能会让 Agent 根据问题动态调用 <code>activate_skill</code>；预处理用于清洗/合并/去噪/脱敏/匿名。
-        </span>
-        <div style={{ display: 'grid', gap: 8, marginTop: 8 }}>
-          {[
-            ['自动技能 Auto Skill', aiAgentEnableAutoSkill, setAiAgentEnableAutoSkill, () => configService.setAiAgentEnableAutoSkill(!aiAgentEnableAutoSkill), 'aiAgentEnableAutoSkill'],
-            ['清洗', aiAgentPreprocessClean, setAiAgentPreprocessClean, () => configService.setAiAgentPreprocessClean(!aiAgentPreprocessClean), 'aiAgentPreprocessClean'],
-            ['合并', aiAgentPreprocessMerge, setAiAgentPreprocessMerge, () => configService.setAiAgentPreprocessMerge(!aiAgentPreprocessMerge), 'aiAgentPreprocessMerge'],
-            ['去噪', aiAgentPreprocessDenoise, setAiAgentPreprocessDenoise, () => configService.setAiAgentPreprocessDenoise(!aiAgentPreprocessDenoise), 'aiAgentPreprocessDenoise'],
-            ['脱敏', aiAgentPreprocessDesensitize, setAiAgentPreprocessDesensitize, () => configService.setAiAgentPreprocessDesensitize(!aiAgentPreprocessDesensitize), 'aiAgentPreprocessDesensitize'],
-            ['匿名', aiAgentPreprocessAnonymize, setAiAgentPreprocessAnonymize, () => configService.setAiAgentPreprocessAnonymize(!aiAgentPreprocessAnonymize), 'aiAgentPreprocessAnonymize']
-          ].map(([label, value, setter, saveFn, key]) => (
-            <div key={key as string} className="log-toggle-line">
-              <span className="log-status">{label as string}</span>
-              <label className="switch">
-                <input
-                  type="checkbox"
-                  checked={value as boolean}
-                  onChange={() => {
-                    const next = !(value as boolean)
-                    ;(setter as (value: boolean) => void)(next)
-                    scheduleConfigSave(key as string, saveFn as () => Promise<void>)
-                  }}
-                />
-                <span className="switch-slider" />
-              </label>
-            </div>
-          ))}
-        </div>
-      </div>
-
-      <div className="form-group">
-        <label>连接测试</label>
-        <span className="form-hint">
-          测试通用模型连接，见解与足迹都会使用这套配置。
-        </span>
-        <div style={{ display: 'flex', alignItems: 'center', gap: '12px', flexWrap: 'wrap', marginTop: '10px' }}>
-          <button
-            className="btn btn-secondary"
-            onClick={handleTestInsightConnection}
-            disabled={isTestingInsight || !aiModelApiBaseUrl || !aiModelApiKey}
-          >
-            {isTestingInsight ? (
-              <><Loader2 size={14} style={{ marginRight: 4, animation: 'spin 1s linear infinite' }} />测试中...</>
-            ) : (
-              <>测试 API 连接</>
-            )}
-          </button>
-          {insightTestResult && (
-            <span style={{ display: 'flex', alignItems: 'center', gap: 6, fontSize: 13, color: insightTestResult.success ? 'var(--color-success, #22c55e)' : 'var(--color-danger, #ef4444)' }}>
-              {insightTestResult.success ? <CheckCircle2 size={14} /> : <XCircle size={14} />}
-              {insightTestResult.message}
-            </span>
-          )}
-        </div>
-      </div>
-    </div>
-  )
-
   const renderInsightTab = () => (
     <div className="tab-content">
       {/* 总开关 */}
@@ -2807,41 +2526,149 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
 
       <div className="divider" />
 
+      {/* API 配置 */}
+      <div className="form-group">
+        <label>API 地址</label>
+        <span className="form-hint">
+          填写 OpenAI 兼容接口的 <strong>Base URL</strong>，末尾<strong>不要加斜杠</strong>。
+          程序会自动拼接 <code>/chat/completions</code>。
+          <br />
+          示例：<code>https://api.ohmygpt.com/v1</code> 或 <code>https://api.openai.com/v1</code>
+        </span>
+        <input
+          type="text"
+          className="field-input"
+          value={aiInsightApiBaseUrl}
+          placeholder="https://api.ohmygpt.com/v1"
+          onChange={(e) => {
+            const val = e.target.value
+            setAiInsightApiBaseUrl(val)
+            scheduleConfigSave('aiInsightApiBaseUrl', () => configService.setAiInsightApiBaseUrl(val))
+          }}
+          style={{ fontFamily: 'monospace' }}
+        />
+      </div>
+
+      <div className="form-group">
+        <label>API Key</label>
+        <span className="form-hint">
+          你的 API Key，保存后经过系统加密存储，不会明文写入磁盘。
+        </span>
+        <div style={{ display: 'flex', gap: '8px', marginTop: '8px' }}>
+          <input
+            type={showInsightApiKey ? 'text' : 'password'}
+            className="field-input"
+            value={aiInsightApiKey}
+            placeholder="sk-..."
+            onChange={(e) => {
+              const val = e.target.value
+              setAiInsightApiKey(val)
+              scheduleConfigSave('aiInsightApiKey', () => configService.setAiInsightApiKey(val))
+            }}
+            style={{ flex: 1, fontFamily: 'monospace' }}
+          />
+          <button
+            className="btn btn-secondary"
+            onClick={() => setShowInsightApiKey(!showInsightApiKey)}
+            title={showInsightApiKey ? '隐藏' : '显示'}
+          >
+            {showInsightApiKey ? <EyeOff size={14} /> : <Eye size={14} />}
+          </button>
+          {aiInsightApiKey && (
+            <button
+              className="btn btn-danger"
+              onClick={async () => {
+                setAiInsightApiKey('')
+                await configService.setAiInsightApiKey('')
+              }}
+              title="清除 Key"
+            >
+              <Trash2 size={14} />
+            </button>
+          )}
+        </div>
+      </div>
+
+      <div className="form-group">
+        <label>模型名称</label>
+        <span className="form-hint">
+          填写你的 API 提供商支持的模型名，建议使用综合能力较强的模型以获得有洞察力的见解。
+          <br />
+          常用示例：<code>gpt-4o-mini</code>、<code>gpt-4o</code>、<code>deepseek-chat</code>、<code>claude-3-5-haiku-20241022</code>
+        </span>
+        <input
+          type="text"
+          className="field-input"
+          value={aiInsightApiModel}
+          placeholder="gpt-4o-mini"
+          onChange={(e) => {
+            const val = e.target.value.trim() || 'gpt-4o-mini'
+            setAiInsightApiModel(val)
+            scheduleConfigSave('aiInsightApiModel', () => configService.setAiInsightApiModel(val))
+          }}
+          style={{ width: 260, fontFamily: 'monospace' }}
+        />
+      </div>
+
+      {/* 测试连接 + 触发测试 */}
       <div className="form-group">
         <label>调试工具</label>
         <span className="form-hint">
-          该功能依赖「AI 通用」里的模型配置。用于验证完整链路（数据库→API→弹窗）。
+          先用"测试 API 连接"确认 Key 和 URL 填写正确，再用"立即触发测试见解"验证完整链路（数据库→API→弹窗）。触发后请留意右下角通知弹窗。
         </span>
-        <div style={{ display: 'flex', alignItems: 'center', gap: '12px', flexWrap: 'wrap', marginTop: '10px' }}>
-          <button
-            className="btn btn-secondary"
-            onClick={async () => {
-              setIsTriggeringInsightTest(true)
-              setInsightTriggerResult(null)
-              try {
-                const result = await (window.electronAPI as any).insight.triggerTest()
-                setInsightTriggerResult(result)
-              } catch (e: any) {
-                setInsightTriggerResult({ success: false, message: `调用失败：${e?.message || String(e)}` })
-              } finally {
-                setIsTriggeringInsightTest(false)
-              }
-            }}
-            disabled={isTriggeringInsightTest || !aiInsightEnabled || !aiModelApiBaseUrl || !aiModelApiKey}
-            title={!aiInsightEnabled ? '请先开启 AI 见解总开关' : ''}
-          >
-            {isTriggeringInsightTest ? (
-              <><Loader2 size={14} style={{ marginRight: 4, animation: 'spin 1s linear infinite' }} />触发中...</>
-            ) : (
-              <>立即触发测试见解</>
+        <div style={{ display: 'flex', flexDirection: 'column', gap: '10px', marginTop: '10px' }}>
+          {/* 测试 API 连接 */}
+          <div style={{ display: 'flex', alignItems: 'center', gap: '12px', flexWrap: 'wrap' }}>
+            <button
+              className="btn btn-secondary"
+              onClick={handleTestInsightConnection}
+              disabled={isTestingInsight || !aiInsightApiBaseUrl || !aiInsightApiKey}
+            >
+              {isTestingInsight ? (
+                <><Loader2 size={14} style={{ marginRight: 4, animation: 'spin 1s linear infinite' }} />测试中...</>
+              ) : (
+                <>测试 API 连接</>
+              )}
+            </button>
+            {insightTestResult && (
+              <span style={{ display: 'flex', alignItems: 'center', gap: 6, fontSize: 13, color: insightTestResult.success ? 'var(--color-success, #22c55e)' : 'var(--color-danger, #ef4444)' }}>
+                {insightTestResult.success ? <CheckCircle2 size={14} /> : <XCircle size={14} />}
+                {insightTestResult.message}
+              </span>
             )}
-          </button>
-          {insightTriggerResult && (
-            <span style={{ display: 'flex', alignItems: 'center', gap: 6, fontSize: 13, color: insightTriggerResult.success ? 'var(--color-success, #22c55e)' : 'var(--color-danger, #ef4444)' }}>
-              {insightTriggerResult.success ? <CheckCircle2 size={14} /> : <XCircle size={14} />}
-              {insightTriggerResult.message}
-            </span>
-          )}
+          </div>
+          {/* 触发测试见解 */}
+          <div style={{ display: 'flex', alignItems: 'center', gap: '12px', flexWrap: 'wrap' }}>
+            <button
+              className="btn btn-secondary"
+              onClick={async () => {
+                setIsTriggeringInsightTest(true)
+                setInsightTriggerResult(null)
+                try {
+                  const result = await (window.electronAPI as any).insight.triggerTest()
+                  setInsightTriggerResult(result)
+                } catch (e: any) {
+                  setInsightTriggerResult({ success: false, message: `调用失败：${e?.message || String(e)}` })
+                } finally {
+                  setIsTriggeringInsightTest(false)
+                }
+              }}
+              disabled={isTriggeringInsightTest || !aiInsightEnabled || !aiInsightApiBaseUrl || !aiInsightApiKey}
+              title={!aiInsightEnabled ? '请先开启 AI 见解总开关' : ''}
+            >
+              {isTriggeringInsightTest ? (
+                <><Loader2 size={14} style={{ marginRight: 4, animation: 'spin 1s linear infinite' }} />触发中...</>
+              ) : (
+                <>立即触发测试见解</>
+              )}
+            </button>
+            {insightTriggerResult && (
+              <span style={{ display: 'flex', alignItems: 'center', gap: 6, fontSize: 13, color: insightTriggerResult.success ? 'var(--color-success, #22c55e)' : 'var(--color-danger, #ef4444)' }}>
+                {insightTriggerResult.success ? <CheckCircle2 size={14} /> : <XCircle size={14} />}
+                {insightTriggerResult.message}
+              </span>
+            )}
+          </div>
         </div>
       </div>
 
@@ -2997,9 +2824,9 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
               当前显示内置默认提示词，可直接编辑修改。修改后立即生效，无需重启。可变的统计信息（触发次数、对话内容）会自动附加在用户消息里，无需在此填写。
             </span>
             <textarea
-              className="field-input ai-prompt-textarea"
+              className="field-input"
               rows={8}
-              style={{ width: '100%', resize: 'vertical' }}
+              style={{ width: '100%', resize: 'vertical', fontFamily: 'monospace', fontSize: 12 }}
               value={displayValue}
               onChange={(e) => {
                 const val = e.target.value
@@ -3045,7 +2872,7 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
               type="password"
               className="field-input"
               style={{ width: '100%' }}
-              placeholder="在此处填入你的 Telegram Bot Token"
+              placeholder="110201543:AAHdqTcvCH1vGWJxfSeofSAs0K5PALDsaw"
               value={aiInsightTelegramToken}
               onChange={(e) => {
                 const val = e.target.value
@@ -3279,74 +3106,6 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
     </div>
   )
 
-  const renderAiFootprintTab = () => (
-    <div className="tab-content">
-      {(() => {
-        const DEFAULT_FOOTPRINT_PROMPT = `你是用户的聊天足迹教练，负责基于统计数据给出一段简明复盘。
-要求：
-1. 输出 2-3 句，总长度不超过 180 字。
-2. 必须包含：总体观察 + 一个可执行建议。
-3. 语气务实，不夸张，不使用 Markdown。`
-        const displayValue = aiFootprintSystemPrompt || DEFAULT_FOOTPRINT_PROMPT
-        return (
-          <>
-            <div className="form-group">
-              <label>AI 足迹总结</label>
-              <span className="form-hint">
-                开启后，可在「我的微信足迹」页面一键生成当前范围的 AI 复盘总结。
-              </span>
-              <div className="log-toggle-line">
-                <span className="log-status">{aiFootprintEnabled ? '已开启' : '已关闭'}</span>
-                <label className="switch">
-                  <input
-                    type="checkbox"
-                    checked={aiFootprintEnabled}
-                    onChange={async (e) => {
-                      const val = e.target.checked
-                      setAiFootprintEnabled(val)
-                      await configService.setAiFootprintEnabled(val)
-                    }}
-                  />
-                  <span className="switch-slider" />
-                </label>
-              </div>
-            </div>
-
-            <div className="form-group">
-              <div style={{ display: 'flex', alignItems: 'center', justifyContent: 'space-between', marginBottom: 6 }}>
-                <label style={{ marginBottom: 0 }}>足迹总结提示词</label>
-                <button
-                  className="button-secondary"
-                  style={{ fontSize: 12, padding: '3px 10px' }}
-                  onClick={async () => {
-                    setAiFootprintSystemPrompt('')
-                    await configService.setAiFootprintSystemPrompt('')
-                  }}
-                >
-                  恢复默认
-                </button>
-              </div>
-              <span className="form-hint">
-                足迹模块专用的小配置。留空时使用内置默认提示词。
-              </span>
-              <textarea
-                className="field-input ai-prompt-textarea"
-                rows={6}
-                style={{ width: '100%', resize: 'vertical' }}
-                value={displayValue}
-                onChange={(e) => {
-                  const val = e.target.value
-                  setAiFootprintSystemPrompt(val)
-                  scheduleConfigSave('aiFootprintSystemPrompt', () => configService.setAiFootprintSystemPrompt(val))
-                }}
-              />
-            </div>
-          </>
-        )
-      })()}
-    </div>
-  )
-
   const renderApiTab = () => (
     <div className="tab-content">
       <div className="form-group">
@@ -3448,7 +3207,7 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
               value={`http://${httpApiHost}:${httpApiPort}`}
               readOnly
             />
-            <button className="btn btn-secondary" onClick={handleCopyApiUrl} title="复制">
+            <button className="btn btn-secondary" onClick={handleCopyApiUrl} title="复<EFBFBD><EFBFBD><EFBFBD>">
               <Copy size={16} />
             </button>
           </div>
@@ -3582,7 +3341,7 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
     try {
       const verifyResult = await window.electronAPI.auth.hello('请验证您的身份以开启 Windows Hello')
       if (!verifyResult.success) {
-        showMessage(verifyResult.error || 'Windows Hello 验证失败', false)
+        showMessage(verifyResult.error || 'Windows Hello <EFBFBD><EFBFBD>证失败', false)
         return
       }
 
@@ -3814,7 +3573,7 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
                 onClick={handleSetupHello}
                 disabled={!helloAvailable || isSettingHello || !authEnabled || !helloPassword}
               >
-                {isSettingHello ? '配置中...' : '开启与设置'}
+                {isSettingHello ? '<EFBFBD><EFBFBD><EFBFBD>置中...' : '开启与设置'}
               </button>
             )}
           </div>
@@ -4021,33 +3780,6 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
                 <span>{tab.label}</span>
               </button>
             ))}
-
-            <div className={`tab-group ${aiGroupExpanded ? 'expanded' : ''}`}>
-              <button
-                className={`tab-btn tab-group-trigger ${(activeTab === 'aiCommon' || activeTab === 'insight' || activeTab === 'aiFootprint') ? 'active' : ''}`}
-                onClick={() => setAiGroupExpanded((prev) => !prev)}
-                aria-expanded={aiGroupExpanded}
-              >
-                <Sparkles size={16} />
-                <span>AI 相关</span>
-                <ChevronDown size={14} className={`tab-group-arrow ${aiGroupExpanded ? 'expanded' : ''}`} />
-              </button>
-              <div className={`tab-sublist-wrap ${aiGroupExpanded ? 'expanded' : 'collapsed'}`}>
-                <div className="tab-sublist">
-                  {aiTabs.map((tab) => (
-                    <button
-                      key={tab.id}
-                      className={`tab-btn tab-sub-btn ${activeTab === tab.id ? 'active' : ''}`}
-                      onClick={() => setActiveTab(tab.id)}
-                      tabIndex={aiGroupExpanded ? 0 : -1}
-                    >
-                      <span className="tab-sub-dot" />
-                      <span>{tab.label}</span>
-                    </button>
-                  ))}
-                </div>
-              </div>
-            </div>
           </div>
 
           <div className="settings-body">
@@ -4058,9 +3790,7 @@ function SettingsPage({ onClose }: SettingsPageProps = {}) {
             {activeTab === 'models' && renderModelsTab()}
             {activeTab === 'cache' && renderCacheTab()}
             {activeTab === 'api' && renderApiTab()}
-            {activeTab === 'aiCommon' && renderAiCommonTab()}
             {activeTab === 'insight' && renderInsightTab()}
-            {activeTab === 'aiFootprint' && renderAiFootprintTab()}
             {activeTab === 'updates' && renderUpdatesTab()}
             {activeTab === 'analytics' && renderAnalyticsTab()}
             {activeTab === 'security' && renderSecurityTab()}

src/pages/SnsPage.tsx

@@ -1127,7 +1127,7 @@ export default function SnsPage() {
                     activeContactsCountTaskIdRef.current = null
                 }
                 finishBackgroundTask(taskId, 'completed', {
-                    detail: '联系人朋友圈条数补算完成',
+                    detail: '鑱旂郴浜烘湅鍙嬪湀鏉℃暟琛ョ畻瀹屾垚',
                     progressText: `${totalTargets}/${totalTargets}`
                 })
             }

src/pages/WelcomePage.tsx

@@ -15,6 +15,7 @@ const isMac = navigator.userAgent.toLowerCase().includes('mac')
 const isLinux = navigator.userAgent.toLowerCase().includes('linux')
 const isWindows = !isMac && !isLinux
 
+const dbDirName = isMac ? '2.0b4.0.9 目录' : 'xwechat_files 目录'
 const DB_PATH_CHINESE_ERROR = '路径包含中文字符，迁移至全英文目录后再试'
 const dbPathPlaceholder = isMac
     ? '例如: ~/Library/Containers/com.tencent.xinWeChat/Data/Library/Application Support/com.tencent.xinWeChat/2.0b4.0.9'
@@ -24,7 +25,7 @@ const dbPathPlaceholder = isMac
 
 const steps = [
   { id: 'intro', title: '欢迎', desc: '准备开始你的本地数据探索' },
-  { id: 'db', title: '数据库目录', desc: `定位 xwechat_files 目录` },
+  { id: 'db', title: '数据库目录', desc: `定位 ${dbDirName}` },
   { id: 'cache', title: '缓存目录', desc: '设置本地缓存存储位置（可选）' },
   { id: 'key', title: '解密密钥', desc: '获取密钥与自动识别账号' },
   { id: 'image', title: '图片密钥', desc: '获取 XOR 与 AES 密钥' },

src/services/config.ts

@@ -83,19 +83,6 @@ export const CONFIG_KEYS = {
   ANALYTICS_DENY_COUNT: 'analyticsDenyCount',
 
   // AI 见解
-  AI_MODEL_API_BASE_URL: 'aiModelApiBaseUrl',
-  AI_MODEL_API_KEY: 'aiModelApiKey',
-  AI_MODEL_API_MODEL: 'aiModelApiModel',
-  AI_AGENT_MAX_MESSAGES_PER_REQUEST: 'aiAgentMaxMessagesPerRequest',
-  AI_AGENT_MAX_HISTORY_ROUNDS: 'aiAgentMaxHistoryRounds',
-  AI_AGENT_ENABLE_AUTO_SKILL: 'aiAgentEnableAutoSkill',
-  AI_AGENT_SEARCH_CONTEXT_BEFORE: 'aiAgentSearchContextBefore',
-  AI_AGENT_SEARCH_CONTEXT_AFTER: 'aiAgentSearchContextAfter',
-  AI_AGENT_PREPROCESS_CLEAN: 'aiAgentPreprocessClean',
-  AI_AGENT_PREPROCESS_MERGE: 'aiAgentPreprocessMerge',
-  AI_AGENT_PREPROCESS_DENOISE: 'aiAgentPreprocessDenoise',
-  AI_AGENT_PREPROCESS_DESENSITIZE: 'aiAgentPreprocessDesensitize',
-  AI_AGENT_PREPROCESS_ANONYMIZE: 'aiAgentPreprocessAnonymize',
   AI_INSIGHT_ENABLED: 'aiInsightEnabled',
   AI_INSIGHT_API_BASE_URL: 'aiInsightApiBaseUrl',
   AI_INSIGHT_API_KEY: 'aiInsightApiKey',
@@ -110,11 +97,7 @@ export const CONFIG_KEYS = {
   AI_INSIGHT_SYSTEM_PROMPT: 'aiInsightSystemPrompt',
   AI_INSIGHT_TELEGRAM_ENABLED: 'aiInsightTelegramEnabled',
   AI_INSIGHT_TELEGRAM_TOKEN: 'aiInsightTelegramToken',
-  AI_INSIGHT_TELEGRAM_CHAT_IDS: 'aiInsightTelegramChatIds',
-
-  // AI 足迹
-  AI_FOOTPRINT_ENABLED: 'aiFootprintEnabled',
-  AI_FOOTPRINT_SYSTEM_PROMPT: 'aiFootprintSystemPrompt'
+  AI_INSIGHT_TELEGRAM_CHAT_IDS: 'aiInsightTelegramChatIds'
 } as const
 
 export interface WxidConfig {
@@ -537,7 +520,7 @@ export async function setExportDefaultTxtColumns(columns: string[]): Promise<voi
   await config.set(CONFIG_KEYS.EXPORT_DEFAULT_TXT_COLUMNS, columns)
 }
 
-// 获取导出默认并发数
+// 获取导出默认并发<EFBFBD><EFBFBD>
 export async function getExportDefaultConcurrency(): Promise<number | null> {
   const value = await config.get(CONFIG_KEYS.EXPORT_DEFAULT_CONCURRENCY)
   if (typeof value === 'number' && Number.isFinite(value)) return value
@@ -1603,133 +1586,6 @@ export async function setHttpApiHost(host: string): Promise<void> {
 
 // ─── AI 见解 ──────────────────────────────────────────────────────────────────
 
-export async function getAiModelApiBaseUrl(): Promise<string> {
-  const value = await config.get(CONFIG_KEYS.AI_MODEL_API_BASE_URL)
-  if (typeof value === 'string' && value.trim()) return value
-  const legacy = await config.get(CONFIG_KEYS.AI_INSIGHT_API_BASE_URL)
-  return typeof legacy === 'string' ? legacy : ''
-}
-
-export async function setAiModelApiBaseUrl(url: string): Promise<void> {
-  await config.set(CONFIG_KEYS.AI_MODEL_API_BASE_URL, url)
-}
-
-export async function getAiModelApiKey(): Promise<string> {
-  const value = await config.get(CONFIG_KEYS.AI_MODEL_API_KEY)
-  if (typeof value === 'string' && value.trim()) return value
-  const legacy = await config.get(CONFIG_KEYS.AI_INSIGHT_API_KEY)
-  return typeof legacy === 'string' ? legacy : ''
-}
-
-export async function setAiModelApiKey(key: string): Promise<void> {
-  await config.set(CONFIG_KEYS.AI_MODEL_API_KEY, key)
-}
-
-export async function getAiModelApiModel(): Promise<string> {
-  const value = await config.get(CONFIG_KEYS.AI_MODEL_API_MODEL)
-  if (typeof value === 'string' && value.trim()) return value.trim()
-  const legacy = await config.get(CONFIG_KEYS.AI_INSIGHT_API_MODEL)
-  return typeof legacy === 'string' && legacy.trim() ? legacy.trim() : 'gpt-4o-mini'
-}
-
-export async function setAiModelApiModel(model: string): Promise<void> {
-  await config.set(CONFIG_KEYS.AI_MODEL_API_MODEL, model)
-}
-
-export async function getAiAgentMaxMessagesPerRequest(): Promise<number> {
-  const value = await config.get(CONFIG_KEYS.AI_AGENT_MAX_MESSAGES_PER_REQUEST)
-  return typeof value === 'number' && Number.isFinite(value) && value > 0 ? Math.floor(value) : 120
-}
-
-export async function setAiAgentMaxMessagesPerRequest(value: number): Promise<void> {
-  const normalized = Number.isFinite(value) ? Math.max(20, Math.min(500, Math.floor(value))) : 120
-  await config.set(CONFIG_KEYS.AI_AGENT_MAX_MESSAGES_PER_REQUEST, normalized)
-}
-
-export async function getAiAgentMaxHistoryRounds(): Promise<number> {
-  const value = await config.get(CONFIG_KEYS.AI_AGENT_MAX_HISTORY_ROUNDS)
-  return typeof value === 'number' && Number.isFinite(value) && value > 0 ? Math.floor(value) : 12
-}
-
-export async function setAiAgentMaxHistoryRounds(value: number): Promise<void> {
-  const normalized = Number.isFinite(value) ? Math.max(4, Math.min(60, Math.floor(value))) : 12
-  await config.set(CONFIG_KEYS.AI_AGENT_MAX_HISTORY_ROUNDS, normalized)
-}
-
-export async function getAiAgentEnableAutoSkill(): Promise<boolean> {
-  const value = await config.get(CONFIG_KEYS.AI_AGENT_ENABLE_AUTO_SKILL)
-  return value !== false
-}
-
-export async function setAiAgentEnableAutoSkill(enabled: boolean): Promise<void> {
-  await config.set(CONFIG_KEYS.AI_AGENT_ENABLE_AUTO_SKILL, enabled)
-}
-
-export async function getAiAgentSearchContextBefore(): Promise<number> {
-  const value = await config.get(CONFIG_KEYS.AI_AGENT_SEARCH_CONTEXT_BEFORE)
-  return typeof value === 'number' && Number.isFinite(value) && value >= 0 ? Math.floor(value) : 3
-}
-
-export async function setAiAgentSearchContextBefore(value: number): Promise<void> {
-  const normalized = Number.isFinite(value) ? Math.max(0, Math.min(20, Math.floor(value))) : 3
-  await config.set(CONFIG_KEYS.AI_AGENT_SEARCH_CONTEXT_BEFORE, normalized)
-}
-
-export async function getAiAgentSearchContextAfter(): Promise<number> {
-  const value = await config.get(CONFIG_KEYS.AI_AGENT_SEARCH_CONTEXT_AFTER)
-  return typeof value === 'number' && Number.isFinite(value) && value >= 0 ? Math.floor(value) : 3
-}
-
-export async function setAiAgentSearchContextAfter(value: number): Promise<void> {
-  const normalized = Number.isFinite(value) ? Math.max(0, Math.min(20, Math.floor(value))) : 3
-  await config.set(CONFIG_KEYS.AI_AGENT_SEARCH_CONTEXT_AFTER, normalized)
-}
-
-export async function getAiAgentPreprocessClean(): Promise<boolean> {
-  const value = await config.get(CONFIG_KEYS.AI_AGENT_PREPROCESS_CLEAN)
-  return value !== false
-}
-
-export async function setAiAgentPreprocessClean(enabled: boolean): Promise<void> {
-  await config.set(CONFIG_KEYS.AI_AGENT_PREPROCESS_CLEAN, enabled)
-}
-
-export async function getAiAgentPreprocessMerge(): Promise<boolean> {
-  const value = await config.get(CONFIG_KEYS.AI_AGENT_PREPROCESS_MERGE)
-  return value !== false
-}
-
-export async function setAiAgentPreprocessMerge(enabled: boolean): Promise<void> {
-  await config.set(CONFIG_KEYS.AI_AGENT_PREPROCESS_MERGE, enabled)
-}
-
-export async function getAiAgentPreprocessDenoise(): Promise<boolean> {
-  const value = await config.get(CONFIG_KEYS.AI_AGENT_PREPROCESS_DENOISE)
-  return value !== false
-}
-
-export async function setAiAgentPreprocessDenoise(enabled: boolean): Promise<void> {
-  await config.set(CONFIG_KEYS.AI_AGENT_PREPROCESS_DENOISE, enabled)
-}
-
-export async function getAiAgentPreprocessDesensitize(): Promise<boolean> {
-  const value = await config.get(CONFIG_KEYS.AI_AGENT_PREPROCESS_DESENSITIZE)
-  return value === true
-}
-
-export async function setAiAgentPreprocessDesensitize(enabled: boolean): Promise<void> {
-  await config.set(CONFIG_KEYS.AI_AGENT_PREPROCESS_DESENSITIZE, enabled)
-}
-
-export async function getAiAgentPreprocessAnonymize(): Promise<boolean> {
-  const value = await config.get(CONFIG_KEYS.AI_AGENT_PREPROCESS_ANONYMIZE)
-  return value === true
-}
-
-export async function setAiAgentPreprocessAnonymize(enabled: boolean): Promise<void> {
-  await config.set(CONFIG_KEYS.AI_AGENT_PREPROCESS_ANONYMIZE, enabled)
-}
-
 export async function getAiInsightEnabled(): Promise<boolean> {
   const value = await config.get(CONFIG_KEYS.AI_INSIGHT_ENABLED)
   return value === true
@@ -1740,30 +1596,30 @@ export async function setAiInsightEnabled(enabled: boolean): Promise<void> {
 }
 
 export async function getAiInsightApiBaseUrl(): Promise<string> {
-  return getAiModelApiBaseUrl()
+  const value = await config.get(CONFIG_KEYS.AI_INSIGHT_API_BASE_URL)
+  return typeof value === 'string' ? value : ''
 }
 
 export async function setAiInsightApiBaseUrl(url: string): Promise<void> {
   await config.set(CONFIG_KEYS.AI_INSIGHT_API_BASE_URL, url)
-  await setAiModelApiBaseUrl(url)
 }
 
 export async function getAiInsightApiKey(): Promise<string> {
-  return getAiModelApiKey()
+  const value = await config.get(CONFIG_KEYS.AI_INSIGHT_API_KEY)
+  return typeof value === 'string' ? value : ''
 }
 
 export async function setAiInsightApiKey(key: string): Promise<void> {
   await config.set(CONFIG_KEYS.AI_INSIGHT_API_KEY, key)
-  await setAiModelApiKey(key)
 }
 
 export async function getAiInsightApiModel(): Promise<string> {
-  return getAiModelApiModel()
+  const value = await config.get(CONFIG_KEYS.AI_INSIGHT_API_MODEL)
+  return typeof value === 'string' && value.trim() ? value.trim() : 'gpt-4o-mini'
 }
 
 export async function setAiInsightApiModel(model: string): Promise<void> {
   await config.set(CONFIG_KEYS.AI_INSIGHT_API_MODEL, model)
-  await setAiModelApiModel(model)
 }
 
 export async function getAiInsightSilenceDays(): Promise<number> {
@@ -1864,21 +1720,3 @@ export async function getAiInsightTelegramChatIds(): Promise<string> {
 export async function setAiInsightTelegramChatIds(chatIds: string): Promise<void> {
   await config.set(CONFIG_KEYS.AI_INSIGHT_TELEGRAM_CHAT_IDS, chatIds)
 }
-
-export async function getAiFootprintEnabled(): Promise<boolean> {
-  const value = await config.get(CONFIG_KEYS.AI_FOOTPRINT_ENABLED)
-  return value === true
-}
-
-export async function setAiFootprintEnabled(enabled: boolean): Promise<void> {
-  await config.set(CONFIG_KEYS.AI_FOOTPRINT_ENABLED, enabled)
-}
-
-export async function getAiFootprintSystemPrompt(): Promise<string> {
-  const value = await config.get(CONFIG_KEYS.AI_FOOTPRINT_SYSTEM_PROMPT)
-  return typeof value === 'string' ? value : ''
-}
-
-export async function setAiFootprintSystemPrompt(prompt: string): Promise<void> {
-  await config.set(CONFIG_KEYS.AI_FOOTPRINT_SYSTEM_PROMPT, prompt)
-}

src/stores/aiRuntimeStore.ts

@@ -1,87 +0,0 @@
-import { create } from 'zustand'
-import type { AgentStreamChunk } from '../types/electron'
-
-interface ConversationRuntimeState {
-  draft: string
-  chunks: AgentStreamChunk[]
-  running: boolean
-  updatedAt: number
-}
-
-interface AiRuntimeStoreState {
-  activeRunId: string
-  states: Record<string, ConversationRuntimeState>
-  startRun: (conversationId: string, runId: string) => void
-  appendChunk: (conversationId: string, chunk: AgentStreamChunk) => void
-  finishRun: (conversationId: string) => void
-  clearConversation: (conversationId: string) => void
-}
-
-function nextConversationState(previous?: ConversationRuntimeState): ConversationRuntimeState {
-  return previous || {
-    draft: '',
-    chunks: [],
-    running: false,
-    updatedAt: Date.now()
-  }
-}
-
-export const useAiRuntimeStore = create<AiRuntimeStoreState>((set) => ({
-  activeRunId: '',
-  states: {},
-  startRun: (conversationId, runId) => set((state) => {
-    const prev = nextConversationState(state.states[conversationId])
-    return {
-      activeRunId: runId,
-      states: {
-        ...state.states,
-        [conversationId]: {
-          ...prev,
-          draft: '',
-          chunks: [],
-          running: true,
-          updatedAt: Date.now()
-        }
-      }
-    }
-  }),
-  appendChunk: (conversationId, chunk) => set((state) => {
-    const prev = nextConversationState(state.states[conversationId])
-    const nextDraft = chunk.type === 'content'
-      ? `${prev.draft}${chunk.content || ''}`
-      : prev.draft
-    return {
-      states: {
-        ...state.states,
-        [conversationId]: {
-          ...prev,
-          draft: nextDraft,
-          chunks: [...prev.chunks, chunk].slice(-300),
-          updatedAt: Date.now(),
-          running: chunk.type === 'done' || chunk.isFinished ? false : prev.running
-        }
-      }
-    }
-  }),
-  finishRun: (conversationId) => set((state) => {
-    const prev = state.states[conversationId]
-    if (!prev) return state
-    return {
-      activeRunId: '',
-      states: {
-        ...state.states,
-        [conversationId]: {
-          ...prev,
-          draft: '',
-          running: false,
-          updatedAt: Date.now()
-        }
-      }
-    }
-  }),
-  clearConversation: (conversationId) => set((state) => {
-    const next = { ...state.states }
-    delete next[conversationId]
-    return { states: next }
-  })
-}))

src/types/aiAnalysis.ts

@@ -1,88 +0,0 @@
-import type { AgentStreamChunk } from './electron'
-
-export type AiToolCategory = 'core' | 'analysis'
-
-export interface AiConversation {
-  conversationId: string
-  title: string
-  createdAt: number
-  updatedAt: number
-  lastMessageAt: number
-}
-
-export interface AiMessageRecord {
-  messageId: string
-  conversationId: string
-  role: 'user' | 'assistant' | 'system' | 'tool' | string
-  content: string
-  intentType: string
-  components: any[]
-  toolTrace: any[]
-  usage?: {
-    promptTokens?: number
-    completionTokens?: number
-    totalTokens?: number
-  }
-  error?: string
-  parentMessageId?: string
-  createdAt: number
-}
-
-export interface ToolCatalogEntry {
-  name: string
-  category: AiToolCategory
-  description: string
-  parameters: Record<string, unknown>
-}
-
-export interface AssistantSummary {
-  id: string
-  name: string
-  systemPrompt: string
-  presetQuestions: string[]
-  allowedBuiltinTools?: string[]
-  builtinId?: string
-  applicableChatTypes?: Array<'group' | 'private'>
-  supportedLocales?: string[]
-}
-
-export interface SkillSummary {
-  id: string
-  name: string
-  description: string
-  tags: string[]
-  chatScope: 'all' | 'group' | 'private'
-  tools: string[]
-  builtinId?: string
-}
-
-export interface SqlSchemaTable {
-  name: string
-  columns: string[]
-}
-
-export interface SqlSchemaSource {
-  kind: 'message' | 'contact' | 'biz'
-  path: string | null
-  label: string
-  tables: SqlSchemaTable[]
-}
-
-export interface SqlSchemaPayload {
-  generatedAt: number
-  sources: SqlSchemaSource[]
-}
-
-export interface SqlResultPayload {
-  rows: Record<string, unknown>[]
-  columns: string[]
-  total: number
-}
-
-export interface ConversationRuntimeView {
-  draft: string
-  chunks: AgentStreamChunk[]
-  running: boolean
-  updatedAt: number
-}
-

src/types/electron.d.ts

@@ -7,37 +7,6 @@ export interface SessionChatWindowOpenOptions {
   initialContactType?: ContactInfo['type']
 }
 
-export interface TokenUsage {
-  promptTokens?: number
-  completionTokens?: number
-  totalTokens?: number
-}
-
-export interface AgentRuntimeStatus {
-  phase: 'idle' | 'thinking' | 'tool_running' | 'responding' | 'completed' | 'error' | 'aborted'
-  round?: number
-  currentTool?: string
-  toolsUsed?: number
-  updatedAt: number
-  totalUsage?: TokenUsage
-}
-
-export interface AgentStreamChunk {
-  runId: string
-  conversationId?: string
-  type: 'content' | 'think' | 'tool_start' | 'tool_result' | 'status' | 'done' | 'error'
-  content?: string
-  thinkTag?: string
-  thinkDurationMs?: number
-  toolName?: string
-  toolParams?: Record<string, unknown>
-  toolResult?: unknown
-  error?: string
-  isFinished?: boolean
-  usage?: TokenUsage
-  status?: AgentRuntimeStatus
-}
-
 export interface ElectronAPI {
   window: {
     minimize: () => void
@@ -424,121 +393,6 @@ export interface ElectronAPI {
     getVoiceTranscript: (sessionId: string, msgId: string, createTime?: number) => Promise<{ success: boolean; transcript?: string; error?: string }>
     onVoiceTranscriptPartial: (callback: (payload: { sessionId?: string; msgId: string; createTime?: number; text: string }) => void) => () => void
     getMessage: (sessionId: string, localId: number) => Promise<{ success: boolean; message?: Message; error?: string }>
-    getMyFootprintStats: (
-      beginTimestamp: number,
-      endTimestamp: number,
-      options?: {
-        myWxid?: string
-        privateSessionIds?: string[]
-        groupSessionIds?: string[]
-        mentionLimit?: number
-        privateLimit?: number
-        mentionMode?: 'text_at_me' | string
-      }
-    ) => Promise<{
-      success: boolean
-      data?: {
-        summary: {
-          private_inbound_people: number
-          private_replied_people: number
-          private_outbound_people: number
-          private_reply_rate: number
-          mention_count: number
-          mention_group_count: number
-        }
-        private_sessions: Array<{
-          session_id: string
-          incoming_count: number
-          outgoing_count: number
-          replied: boolean
-          first_incoming_ts: number
-          first_reply_ts: number
-          latest_ts: number
-          anchor_local_id: number
-          anchor_create_time: number
-          displayName?: string
-          avatarUrl?: string
-        }>
-        private_segments: Array<{
-          session_id: string
-          segment_index: number
-          start_ts: number
-          end_ts: number
-          duration_sec: number
-          incoming_count: number
-          outgoing_count: number
-          message_count: number
-          replied: boolean
-          first_incoming_ts: number
-          first_reply_ts: number
-          latest_ts: number
-          anchor_local_id: number
-          anchor_create_time: number
-          displayName?: string
-          avatarUrl?: string
-        }>
-        mentions: Array<{
-          session_id: string
-          local_id: number
-          create_time: number
-          sender_username: string
-          message_content: string
-          source: string
-          sessionDisplayName?: string
-          senderDisplayName?: string
-          senderAvatarUrl?: string
-        }>
-        mention_groups: Array<{
-          session_id: string
-          count: number
-          latest_ts: number
-          displayName?: string
-          avatarUrl?: string
-        }>
-        diagnostics: {
-          truncated: boolean
-          scanned_dbs: number
-          elapsed_ms: number
-        }
-      }
-      error?: string
-    }>
-    exportMyFootprint: (
-      beginTimestamp: number,
-      endTimestamp: number,
-      format: 'csv' | 'json',
-      filePath: string
-    ) => Promise<{
-      success: boolean
-      filePath?: string
-      error?: string
-    }>
-    getSchema: (payload?: { sessionId?: string }) => Promise<{
-      success: boolean
-      schema?: {
-        generatedAt: number
-        sources: Array<{
-          kind: 'message' | 'contact' | 'biz'
-          path: string | null
-          label: string
-          tables: Array<{ name: string; columns: string[] }>
-        }>
-      }
-      schemaText?: string
-      error?: string
-    }>
-    executeSQL: (payload: {
-      kind: 'message' | 'contact' | 'biz'
-      path?: string | null
-      sql: string
-      limit?: number
-    }) => Promise<{
-      success: boolean
-      rows?: Record<string, unknown>[]
-      columns?: string[]
-      total?: number
-      error?: string
-    }>
     onWcdbChange: (callback: (event: any, data: { type: string; json: string }) => void) => () => void
   }
   biz: {
@@ -1132,263 +986,6 @@ export interface ElectronAPI {
     stop: () => Promise<{ success: boolean }>
     status: () => Promise<{ running: boolean; port: number; mediaExportPath: string }>
   }
-  insight: {
-    testConnection: () => Promise<{ success: boolean; message: string }>
-    getTodayStats: () => Promise<Array<{ sessionId: string; count: number; times: string[] }>>
-    triggerTest: () => Promise<{ success: boolean; message: string }>
-    generateFootprintInsight: (payload: {
-      rangeLabel: string
-      summary: {
-        private_inbound_people?: number
-        private_replied_people?: number
-        private_outbound_people?: number
-        private_reply_rate?: number
-        mention_count?: number
-        mention_group_count?: number
-      }
-      privateSegments?: Array<{ displayName?: string; session_id?: string; incoming_count?: number; outgoing_count?: number; message_count?: number; replied?: boolean }>
-      mentionGroups?: Array<{ displayName?: string; session_id?: string; count?: number }>
-    }) => Promise<{ success: boolean; message: string; insight?: string }>
-  }
-  aiApi: {
-    listConversations: (payload?: { page?: number; pageSize?: number }) => Promise<{
-      success: boolean
-      conversations?: Array<{
-        conversationId: string
-        title: string
-        createdAt: number
-        updatedAt: number
-        lastMessageAt: number
-      }>
-      error?: string
-    }>
-    createConversation: (payload?: { title?: string }) => Promise<{
-      success: boolean
-      conversationId?: string
-      error?: string
-    }>
-    renameConversation: (payload: { conversationId: string; title: string }) => Promise<{ success: boolean; error?: string }>
-    deleteConversation: (conversationId: string) => Promise<{ success: boolean; error?: string }>
-    listMessages: (payload: { conversationId: string; limit?: number }) => Promise<{
-      success: boolean
-      messages?: Array<{
-        messageId: string
-        conversationId: string
-        role: 'user' | 'assistant' | 'system' | 'tool' | string
-        content: string
-        intentType: string
-        components: any[]
-        toolTrace: any[]
-        usage: Record<string, unknown>
-        error: string
-        parentMessageId: string
-        createdAt: number
-      }>
-      error?: string
-    }>
-    exportConversation: (payload: { conversationId: string }) => Promise<{
-      success: boolean
-      conversation?: { conversationId: string; title: string; updatedAt: number }
-      markdown?: string
-      error?: string
-    }>
-    getToolCatalog: () => Promise<Array<{
-      name: string
-      category: 'core' | 'analysis'
-      description: string
-      parameters: Record<string, unknown>
-    }>>
-    executeTool: (payload: { name: string; args?: Record<string, any> }) => Promise<{
-      success: boolean
-      result?: unknown
-      error?: string
-    }>
-    cancelToolTest: (payload?: { taskId?: string }) => Promise<{ success: boolean }>
-  }
-  agentApi: {
-    runStream: (payload: {
-      mode?: 'chat' | 'sql'
-      conversationId?: string
-      userInput: string
-      assistantId?: string
-      activeSkillId?: string
-      chatScope?: 'group' | 'private'
-      sqlContext?: { schemaText?: string; targetHint?: string }
-    }) => Promise<{ success: boolean; runId: string }>
-    abort: (payload: { runId?: string; conversationId?: string }) => Promise<{ success: boolean }>
-    onStream: (callback: (payload: AgentStreamChunk) => void) => () => void
-  }
-  assistantApi: {
-    getAll: () => Promise<Array<{
-      id: string
-      name: string
-      systemPrompt: string
-      presetQuestions: string[]
-      allowedBuiltinTools?: string[]
-      builtinId?: string
-      applicableChatTypes?: Array<'group' | 'private'>
-      supportedLocales?: string[]
-    }>>
-    getConfig: (id: string) => Promise<{
-      id: string
-      name: string
-      systemPrompt: string
-      presetQuestions: string[]
-      allowedBuiltinTools?: string[]
-      builtinId?: string
-      applicableChatTypes?: Array<'group' | 'private'>
-      supportedLocales?: string[]
-    } | null>
-    create: (payload: any) => Promise<{ success: boolean; id?: string; error?: string }>
-    update: (payload: { id: string; updates: any }) => Promise<{ success: boolean; error?: string }>
-    delete: (id: string) => Promise<{ success: boolean; error?: string }>
-    reset: (id: string) => Promise<{ success: boolean; error?: string }>
-    getBuiltinCatalog: () => Promise<Array<{
-      id: string
-      name: string
-      systemPrompt: string
-      applicableChatTypes?: Array<'group' | 'private'>
-      supportedLocales?: string[]
-      imported: boolean
-    }>>
-    getBuiltinToolCatalog: () => Promise<Array<{ name: string; category: 'core' | 'analysis' }>>
-    importFromMd: (rawMd: string) => Promise<{ success: boolean; id?: string; error?: string }>
-  }
-  skillApi: {
-    getAll: () => Promise<Array<{
-      id: string
-      name: string
-      description: string
-      tags: string[]
-      chatScope: 'all' | 'group' | 'private'
-      tools: string[]
-      builtinId?: string
-    }>>
-    getConfig: (id: string) => Promise<{
-      id: string
-      name: string
-      description: string
-      tags: string[]
-      chatScope: 'all' | 'group' | 'private'
-      tools: string[]
-      prompt: string
-      builtinId?: string
-    } | null>
-    create: (rawMd: string) => Promise<{ success: boolean; id?: string; error?: string }>
-    update: (payload: { id: string; rawMd: string }) => Promise<{ success: boolean; error?: string }>
-    delete: (id: string) => Promise<{ success: boolean; error?: string }>
-    getBuiltinCatalog: () => Promise<Array<{
-      id: string
-      name: string
-      description: string
-      tags: string[]
-      chatScope: 'all' | 'group' | 'private'
-      tools: string[]
-      imported: boolean
-    }>>
-    importFromMd: (rawMd: string) => Promise<{ success: boolean; id?: string; error?: string }>
-  }
-  llmApi: {
-    getConfig: () => Promise<{ success: boolean; config: { apiBaseUrl: string; apiKey: string; model: string } }>
-    setConfig: (payload: { apiBaseUrl?: string; apiKey?: string; model?: string }) => Promise<{ success: boolean }>
-    listModels: () => Promise<{ success: boolean; models: Array<{ id: string; label: string }> }>
-  }
-  aiAnalysis: {
-    listConversations: (payload?: { page?: number; pageSize?: number }) => Promise<{
-      success: boolean
-      conversations?: Array<{
-        conversationId: string
-        title: string
-        createdAt: number
-        updatedAt: number
-        lastMessageAt: number
-      }>
-      error?: string
-    }>
-    createConversation: (payload?: { title?: string }) => Promise<{
-      success: boolean
-      conversationId?: string
-      error?: string
-    }>
-    deleteConversation: (conversationId: string) => Promise<{ success: boolean; error?: string }>
-    listMessages: (payload: { conversationId: string; limit?: number }) => Promise<{
-      success: boolean
-      messages?: Array<{
-        messageId: string
-        conversationId: string
-        role: 'user' | 'assistant' | 'system' | 'tool' | string
-        content: string
-        intentType: string
-        components: any[]
-        toolTrace: any[]
-        usage: Record<string, unknown>
-        error: string
-        parentMessageId: string
-        createdAt: number
-      }>
-      error?: string
-    }>
-    sendMessage: (payload: {
-      conversationId: string
-      userInput: string
-      options?: {
-        parentMessageId?: string
-        persistUserMessage?: boolean
-        assistantId?: string
-        activeSkillId?: string
-        chatScope?: 'group' | 'private'
-      }
-    }) => Promise<{
-      success: boolean
-      result?: {
-        conversationId: string
-        messageId: string
-        assistantText: string
-        components: any[]
-        toolTrace: any[]
-        usage?: {
-          promptTokens?: number
-          completionTokens?: number
-          totalTokens?: number
-        }
-        error?: string
-        createdAt: number
-      }
-      error?: string
-    }>
-    retryMessage: (payload: { conversationId: string; userMessageId?: string }) => Promise<{
-      success: boolean
-      result?: {
-        conversationId: string
-        messageId: string
-        assistantText: string
-        components: any[]
-        toolTrace: any[]
-        usage?: {
-          promptTokens?: number
-          completionTokens?: number
-          totalTokens?: number
-        }
-        error?: string
-        createdAt: number
-      }
-      error?: string
-    }>
-    abortRun: (payload: { runId?: string; conversationId?: string }) => Promise<{ success: boolean }>
-    onRunEvent: (callback: (payload: {
-      runId: string
-      conversationId: string
-      stage: string
-      ts: number
-      message: string
-      intent?: string
-      round?: number
-      toolName?: string
-      status?: string
-      durationMs?: number
-      data?: Record<string, unknown>
-    }) => void) => () => void
-  }
 }
 
 export interface ExportOptions {
@@ -1445,11 +1042,6 @@ export interface WxidInfo {
 declare global {
   interface Window {
     electronAPI: ElectronAPI
-    aiApi: ElectronAPI['aiApi']
-    agentApi: ElectronAPI['agentApi']
-    assistantApi: ElectronAPI['assistantApi']
-    skillApi: ElectronAPI['skillApi']
-    llmApi: ElectronAPI['llmApi']
   }
 
   // Electron 类型声明