Develop/AIclinicalresearch
2
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
96 Commits 1 Branch 0 Tags
a3586cdf3042f39b95d803f40c6b0d1040c8313f
Commit Graph

7 Commits

Author SHA1 Message Date
HaHafeng
200eab5c2e feat(dc-tool-c): Tool C UX重大改进 - 列头筛选/行号/滚动条/全量数据 
新功能
- 列头筛选：Excel风格筛选功能（Community版本，中文本地化，显示唯一值及计数）
- 行号列：添加固定行号列（#列头，灰色背景，左侧固定）
- 全量数据加载：不再限制50行预览，Session加载全量数据
- 全量数据返回：所有快速操作（筛选/映射/分箱/条件/删NA/计算/Pivot）全量返回结果

 Bug修复
- 滚动条终极修复：修改MainLayout为固定高度（h-screen + overflow-hidden），整个浏览器窗口无滚动条，只有AG Grid内部滚动
- 计算列全角字符修复：自动转换中文括号等全角字符为半角
- 计算列特殊字符列名修复：完善列别名机制，支持任意特殊字符列名

 UI优化
- 删除'表格仅展示前50行'提示条，减少干扰
- 筛选对话框美化：白色背景，圆角，阴影
- 列头筛选图标优化：清晰可见，易于点击

 文档更新
- 工具C_功能按钮开发计划_V1.0.md：添加V1.5版本记录
- 工具C_MVP开发_TODO清单.md：添加Day 8 UX优化内容
- 00-工具C当前状态与开发指南.md：更新进度为98%
- 00-模块当前状态与开发指南.md：更新DC模块状态
- 00-系统当前状态与开发指南.md：更新系统整体状态

 影响范围
- Python微服务：无修改
- Node.js后端：5处代码修改（SessionService + QuickActionController + AICodeService）
- 前端：MainLayout + DataGrid + ag-grid-custom.css + index.tsx
- 完成度：Tool C整体完成度提升至98%

 代码统计
- 修改文件：~15个文件
- 新增行数：~200行
- 修改行数：~150行

Co-authored-by: AI Assistant <assistant@example.com>
 2025-12-10 18:02:42 +08:00
HaHafeng
74cf346453 feat(dc/tool-c): Add missing value imputation feature with 6 methods and MICE 
Major features:
1. Missing value imputation (6 simple methods + MICE):
   - Mean/Median/Mode/Constant imputation
   - Forward fill (ffill) and Backward fill (bfill) for time series
   - MICE multivariate imputation (in progress, shape issue to fix)

2. Auto precision detection:
   - Automatically match decimal places of original data
   - Prevent false precision (e.g. 13.57 instead of 13.566716417910449)

3. Categorical variable detection:
   - Auto-detect and skip categorical columns in MICE
   - Show warnings for unsuitable columns
   - Suggest mode imputation for categorical data

4. UI improvements:
   - Rename button: "Delete Missing" to "Missing Value Handling"
   - Remove standalone "Dedup" and "MICE" buttons
   - 3-tab dialog: Delete / Fill / Advanced Fill
   - Display column statistics and recommended methods
   - Extended warning messages (8 seconds for skipped columns)

5. Bug fixes:
   - Fix sessionService.updateSessionData -> saveProcessedData
   - Fix OperationResult interface (add message and stats)
   - Fix Toolbar button labels and removal

Modified files:
Python: operations/fillna.py (new, 556 lines), main.py (3 new endpoints)
Backend: QuickActionService.ts, QuickActionController.ts, routes/index.ts
Frontend: MissingValueDialog.tsx (new, 437 lines), Toolbar.tsx, index.tsx
Tests: test_fillna_operations.py (774 lines), test scripts and docs
Docs: 5 documentation files updated

Known issues:
- MICE imputation has DataFrame shape mismatch issue (under debugging)
- Workaround: Use 6 simple imputation methods first

Status: Development complete, MICE debugging in progress
Lines added: ~2000 lines across 3 tiers
 2025-12-10 13:06:00 +08:00
HaHafeng
f4f1d09837 feat(dc/tool-c): Add pivot column ordering and NA handling features 
Major features:
1. Pivot transformation enhancements:
   - Add option to keep unselected columns with 3 aggregation methods
   - Maintain original column order after pivot (aligned with source file)
   - Preserve pivot value order (first appearance order)

2. NA handling across 4 core functions:
   - Recode: Support keep/map/drop for NA values
   - Filter: Already supports is_null/not_null operators
   - Binning: Support keep/label/assign for NA values (fix nan display)
   - Conditional: Add is_null/not_null operators

3. UI improvements:
   - Enable column header tooltips with custom header component
   - Add closeable alert for 50-row preview
   - Fix page scrollbar issues

Modified files:
Python: pivot.py, recode.py, binning.py, conditional.py, main.py
Backend: SessionController, QuickActionController, QuickActionService
Frontend: PivotDialog, RecodeDialog, BinningDialog, ConditionalDialog, DataGrid, index

Status: Ready for testing
 2025-12-09 14:40:14 +08:00
HaHafeng
75ceeb0653 hotfix(dc/tool-c): Fix compute formula validation and binning NaN serialization 
Critical fixes:
1. Compute column: Add Chinese comma support in formula validation
   - Problem: Formula with Chinese comma failed validation
   - Fix: Add Chinese comma character to allowed_chars regex
   - Example: Support formulas like 'col1（kg）+ col2，col3'

2. Binning operation: Fix NaN serialization error
   - Problem: 'Out of range float values are not JSON compliant: nan'
   - Fix: Enhanced NaN/inf handling in binning endpoint
   - Added np.inf/-np.inf replacement before JSON serialization
   - Added manual JSON serialization with NaN->null conversion

3. Enhanced all operation endpoints for consistency
   - Updated conditional, dropna endpoints with same NaN/inf handling
   - Ensures all operations return JSON-compliant data

Modified files:
- extraction_service/operations/compute.py: Add Chinese comma to regex
- extraction_service/main.py: Enhanced NaN handling in binning/conditional/dropna

Status: Hotfix complete, ready for testing
 2025-12-09 08:45:27 +08:00
HaHafeng
f729699510 feat(dc): Complete Tool C quick action buttons Phase 1-2 - 7 functions 
Summary:
- Implement 7 quick action functions (filter, recode, binning, conditional, dropna, compute, pivot)
- Refactor to pre-written Python functions architecture (stable and secure)
- Add 7 Python operations modules with full type hints
- Add 7 frontend Dialog components with user-friendly UI
- Fix NaN serialization issues and auto type conversion
- Update all related documentation

Technical Details:
- Python: operations/ module (filter.py, recode.py, binning.py, conditional.py, dropna.py, compute.py, pivot.py)
- Backend: QuickActionService.ts with 7 execute methods
- Frontend: 7 Dialog components with complete validation
- Toolbar: Enable 7 quick action buttons

Status: Phase 1-2 completed, basic testing passed, ready for further testing
 2025-12-08 17:38:08 +08:00
HaHafeng
f01981bf78 feat(dc/tool-c): 完成AI代码生成服务（Day 3 MVP） 
核心功能：
- 新增AICodeService（550行）：AI代码生成核心服务
- 新增AIController（257行）：4个API端点
- 新增dc_tool_c_ai_history表：存储对话历史
- 实现自我修正机制：最多3次智能重试
- 集成LLMFactory：复用通用能力层
- 10个Few-shot示例：覆盖Level 1-4场景

技术优化：
- 修复NaN序列化问题（Python端转None）
- 修复数据传递问题（从Session获取真实数据）
- 优化System Prompt（明确环境信息）
- 调整Few-shot示例（移除import语句）

测试结果：
- 通过率：9/11（81.8%） 达到MVP标准
- 成功场景：缺失值处理、编码、分箱、BMI、筛选、填补、统计、分类
- 待优化：数值清洗、智能去重（已记录技术债务TD-C-006）

API端点：
- POST /api/v1/dc/tool-c/ai/generate（生成代码）
- POST /api/v1/dc/tool-c/ai/execute（执行代码）
- POST /api/v1/dc/tool-c/ai/process（生成并执行，一步到位）
- GET /api/v1/dc/tool-c/ai/history/:sessionId（对话历史）

文档更新：
- 新增Day 3开发完成总结（770行）
- 新增复杂场景优化技术债务（TD-C-006）
- 更新工具C当前状态文档
- 更新技术债务清单

影响范围：
- backend/src/modules/dc/tool-c/*（新增2个文件，更新1个文件）
- backend/scripts/create-tool-c-ai-history-table.mjs（新增）
- backend/prisma/schema.prisma（新增DcToolCAiHistory模型）
- extraction_service/services/dc_executor.py（NaN序列化修复）
- docs/03-业务模块/DC-数据清洗整理/*（5份文档更新）

Breaking Changes: 无

总代码行数：+950行

Refs: #Tool-C-Day3
 2025-12-07 16:21:32 +08:00
AI Clinical Dev Team
39eb62ee79 feat: add extraction_service (PDF/Docx/Txt) and update .gitignore to exclude venv 2025-11-16 15:32:44 +08:00