feat(admin): Add user management and upgrade to module permission system
Features - User Management (Phase 4.1): - Database: Add user_modules table for fine-grained module permissions - Database: Add 4 user permissions (view/create/edit/delete) to role_permissions - Backend: UserService (780 lines) - CRUD with tenant isolation - Backend: UserController + UserRoutes (648 lines) - 13 API endpoints - Backend: Batch import users from Excel - Frontend: UserListPage (412 lines) - list/filter/search/pagination - Frontend: UserFormPage (341 lines) - create/edit with module config - Frontend: UserDetailPage (393 lines) - details/tenant/module management - Frontend: 3 modal components (592 lines) - import/assign/configure - API: GET/POST/PUT/DELETE /api/admin/users/* endpoints Architecture Upgrade - Module Permission System: - Backend: Add getUserModules() method in auth.service - Backend: Login API returns modules array in user object - Frontend: AuthContext adds hasModule() method - Frontend: Navigation filters modules based on user.modules - Frontend: RouteGuard checks requiredModule instead of requiredVersion - Frontend: Remove deprecated version-based permission system - UX: Only show accessible modules in navigation (clean UI) - UX: Smart redirect after login (avoid 403 for regular users) Fixes: - Fix UTF-8 encoding corruption in ~100 docs files - Fix pageSize type conversion in userService (String to Number) - Fix authUser undefined error in TopNavigation - Fix login redirect logic with role-based access check - Update Git commit guidelines v1.2 with UTF-8 safety rules Database Changes: - CREATE TABLE user_modules (user_id, tenant_id, module_code, is_enabled) - ADD UNIQUE CONSTRAINT (user_id, tenant_id, module_code) - INSERT 4 permissions + role assignments - UPDATE PUBLIC tenant with 8 module subscriptions Technical: - Backend: 5 new files (~2400 lines) - Frontend: 10 new files (~2500 lines) - Docs: 1 development record + 2 status updates + 1 guideline update - Total: ~4900 lines of code Status: User management 100% complete, module permission system operational
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# ASL妯″潡寮€鍙戣<EFBFBD>褰?
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# ASL模块开发记录
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鏈<EFBFBD>洰褰曡<EFBFBD>褰旳SL锛圓I鏅鸿兘鏂囩尞绛涢€夛級妯″潡鐨勫畬鏁村紑鍙戝巻绋嬨€?
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本目录记录ASL（AI智能文献筛选）模块的完整开发历程。
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---
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## 📁 文档索引
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### Week 1 瀹屾垚鎶ュ憡锛?025-11-18锛?
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### Week 1 完成报告（2025-11-18）
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| 鏂囨。 | 鍐呭<E98D90> | 閲嶈<E996B2>鎬?|
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| 文档 | 内容 | 重要性 |
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|------|------|--------|
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| **浠婃棩宸ヤ綔鎬荤粨.md** | 2025-11-18鍏ㄥぉ宸ヤ綔鎬荤粨 | 猸愨瓙猸愨瓙猸?|
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| **涓ゆ<EFBFBD>娴嬭瘯瀹屾暣鎶ュ憡.md** | 鍥藉唴澶栨ā鍨嬪<E98DA8>姣?+ 涓夌<E6B693>椋庢牸娴嬭瘯 | 猸愨瓙猸愨瓙猸?|
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| **今日工作总结.md** | 2025-11-18全天工作总结 | ⭐⭐⭐⭐⭐ |
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| **两步测试完整报告.md** | 国内外模型对比 + 三种风格测试 | ⭐⭐⭐⭐⭐ |
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| **卒中数据泛化测试报告.md** | 最初的泛化能力测试 | ⭐⭐⭐⭐ |
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| **Prompt璁捐<EFBFBD>涓庢祴璇曞畬鎴愭姤鍛?md** | Prompt v1.0.0娴嬭瘯 | 猸愨瓙猸?|
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| **Prompt设计与测试完成报告.md** | Prompt v1.0.0测试 | ⭐⭐⭐ |
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| **Week1完成报告.md** | Week 1开发完成总结 | ⭐⭐⭐⭐ |
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---
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@@ -22,17 +22,17 @@
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### 1. 根本问题确认
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**鍑嗙‘鐜囦笉楂樼殑鏍规湰鍘熷洜** = AI涓庝汉绫诲<E7BBAB>杈圭晫鎯呭喌鐨勭悊瑙ｅ樊寮?
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**准确率不高的根本原因** = AI与人类对边界情况的理解差异
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**不是**:
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- 鉂?妯″瀷鏅哄晢涓嶅<E6B693>
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- 鉂?Prompt璁捐<EFBFBD>涓嶅ソ
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- 鉂?瀹芥澗/涓ユ牸绋嬪害涓嶅<E6B693>
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- ❌ 模型智商不够
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- ❌ Prompt设计不好
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- ❌ 宽松/严格程度不对
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**而是**:
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- 鉁?绾虫帓鏍囧噯瀛樺湪闅愬惈瑙勫垯
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- 鉁?杈圭晫鎯呭喌瀹氫箟涓嶆槑纭?
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- 鉁?AI鏃犳硶鐚滄祴鐢ㄦ埛鐪熷疄鎰忓浘
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- ✅ 纳排标准存在隐含规则
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- ✅ 边界情况定义不明确
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- ✅ AI无法猜测用户真实意图
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---
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@@ -40,32 +40,32 @@
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#### 短期方案（已实现）✅
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**涓夌<EFBFBD>绛涢€夐<EFBFBD>鏍?*:
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- 瀹芥澗妯″紡锛氬垵绛涗娇鐢<EFBFBD>紝瀹佸彲澶氱撼鍏?
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- 鏍囧噯妯″紡锛氬父瑙勪娇鐢<EFBFBD>紝骞宠 鍑嗙‘鐜?
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**三种筛选风格**:
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- 宽松模式：初筛使用，宁可多纳入
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- 标准模式：常规使用，平衡准确率
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- 严格模式：精筛使用，宁可错杀
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**鐘舵€?*: 鍚庣<E98D9A>瀹屾垚锛屽墠绔<E5A2A0>緟寮€鍙?
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**状态**: 后端完成，前端待开发
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---
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#### 涓<EFBFBD>湡鏂规<EFBFBD>锛堟帹鑽愶級猸?
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#### 中期方案（推荐）⭐
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**鐢ㄦ埛鑷<EFBFBD>畾涔夎竟鐣屾儏鍐?*:
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**用户自定义边界情况**:
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1. 用户输入PICOS + 纳排标准
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2. LLM鍒嗘瀽鐢熸垚20绉嶈竟鐣屾儏鍐?
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3. 鐢ㄦ埛纭<EFBFBD><EFBFBD>姣忕<EFBFBD>鎯呭喌鐨勫<EFBFBD>鐞嗘柟寮?
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2. LLM分析生成20种边界情况
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3. 用户确认每种情况的处理方式
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4. 系统生成定制化Prompt
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**浼樼偣**: 娑堥櫎AI涓庝汉绫荤悊瑙ｅ樊寮?
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**优点**: 消除AI与人类理解差异
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---
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#### 闀挎湡鏂规<EFBFBD>锛圴1.0+锛夝煍?
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#### 长期方案（V1.0+）🔮
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**Few-shot学习**:
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- 从用户纠正中学习
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- 鎸佺画浼樺寲鍑嗙‘鐜?
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- 持续优化准确率
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- 个性化Prompt
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---
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@@ -74,49 +74,49 @@
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### 模型性能对比
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| 妯″瀷 | 鍑嗙‘鐜?| 涓€鑷寸巼 | 閫熷害 | JSON绋冲畾鎬?|
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| 模型 | 准确率 | 一致率 | 速度 | JSON稳定性 |
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|------|--------|--------|------|-----------|
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| DeepSeek-V3 + Qwen-Max | 40% | 60% | 16绉?| 鉁?100% |
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| GPT-4o + Claude-4.5 | 0%* | 80% | 10绉?| 鉂?20% |
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| DeepSeek-V3 + Qwen-Max | 40% | 60% | 16秒 | ✅ 100% |
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| GPT-4o + Claude-4.5 | 0%* | 80% | 10秒 | ❌ 20% |
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*因JSON格式错误导致失败
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### 绛涢€夐<EFBFBD>鏍煎<EFBFBD>姣?
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### 筛选风格对比
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| 椋庢牸 | 鍑嗙‘鐜?| 鍙<>洖鐜?| 绮剧‘鐜?|
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| 风格 | 准确率 | 召回率 | 精确率 |
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|------|--------|--------|--------|
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| 标准模式 | 60% | 0% | 100% |
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| 宽松模式 | 20% | 50% | 0% |
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| 涓ユ牸妯″紡 | 鏈<>祴璇?| - | - |
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| 严格模式 | 未测试 | - | - |
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---
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## 馃殌 涓嬩竴姝ヨ<E5A79D>鍒?
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## 🚀 下一步计划
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### 本周任务
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1. 猬?鍓嶇<E98D93>寮€鍙戯細绛涢€夐<E282AC>鏍奸€夋嫨鍣?
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2. 猬?API闆嗘垚锛氫紶閫抈style`鍙傛暟
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3. 猬?鎵╁ぇ娴嬭瘯锛?0绡囩湡瀹炴暟鎹?
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4. 猬?鐢ㄦ埛鍩硅<E98DA9>锛氫笁绉嶉<E7BB89>鏍间娇鐢ㄥ満鏅?
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1. ⬜ 前端开发：筛选风格选择器
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2. ⬜ API集成：传递`style`参数
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3. ⬜ 扩大测试：20篇真实数据
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4. ⬜ 用户培训：三种风格使用场景
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### Week 2任务
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1. 猬?璁捐<E79281>杈圭晫鎯呭喌纭<E5968C><E7BAAD>UI
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2. 猬?瀹炵幇LLM杈圭晫鎯呭喌鐢熸垚
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3. 猬?鐢ㄦ埛纭<E59F9B><E7BAAD>娴佺▼寮€鍙?
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4. 猬?瀹氬埗鍖朠rompt鐢熸垚
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1. ⬜ 设计边界情况确认UI
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2. ⬜ 实现LLM边界情况生成
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3. ⬜ 用户确认流程开发
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4. ⬜ 定制化Prompt生成
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---
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## 馃摑 蹇<>€熼摼鎺?
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## 📝 快速链接
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### 测试脚本
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- `backend/scripts/test-stroke-screening.ts` - 标准模式测试
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- `backend/scripts/test-stroke-screening-lenient.ts` - 宽松模式测试
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- `backend/scripts/test-stroke-screening-international-models.ts` - 模型对比
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- `backend/scripts/test-json-parser.ts` - JSON瑙ｆ瀽鍣ㄦ祴璇?
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- `backend/scripts/test-json-parser.ts` - JSON解析器测试
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### Prompt文件
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### 核心代码
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- `backend/src/modules/asl/schemas/screening.schema.ts` - Prompt生成
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- `backend/src/modules/asl/services/llmScreeningService.ts` - 绛涢€夋湇鍔?
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- `backend/src/common/utils/jsonParser.ts` - JSON瑙ｆ瀽鍣?
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- `backend/src/modules/asl/services/llmScreeningService.ts` - 筛选服务
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- `backend/src/common/utils/jsonParser.ts` - JSON解析器
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---
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## 💡 重要提示
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1. **JSON解析器已修复** - 支持中文引号自动转换
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2. **涓夌<EFBFBD>椋庢牸宸插疄鐜?* - 鍚庣<E98D9A>瀹屾垚锛屽墠绔<E5A2A0>緟寮€鍙?
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3. **鏍规湰闂<EFBFBD><EFBFBD>宸茬‘璁?* - 闇€瑕佺敤鎴疯嚜瀹氫箟杈圭晫鎯呭喌
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2. **三种风格已实现** - 后端完成，前端待开发
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3. **根本问题已确认** - 需要用户自定义边界情况
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---
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**更新日期**: 2025-11-18
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**缁存姢浜?*: AI Assistant
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**维护人**: AI Assistant
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**版本**: v1.0
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