Files
AIclinicalresearch/tests/run_tests.bat
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

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@echo off
REM Windows批处理脚本 - 运行缺失值处理功能测试
echo ========================================
echo 缺失值处理功能 - 自动化测试
echo ========================================
echo.
REM 检查Python是否安装
python --version >nul 2>&1
if %errorlevel% neq 0 (
echo [错误] Python未安装或不在PATH中
pause
exit /b 1
)
echo [1/3] 检查Python服务状态...
curl -s http://localhost:8001/health >nul 2>&1
if %errorlevel% neq 0 (
echo [警告] Python服务未运行请先启动服务
echo cd extraction_service
echo python main.py
echo.
pause
exit /b 1
)
echo [OK] Python服务运行正常
echo.
echo [2/3] 检查依赖...
python -c "import pandas, numpy, requests" >nul 2>&1
if %errorlevel% neq 0 (
echo [警告] 缺少依赖,正在安装...
pip install pandas numpy requests
)
echo [OK] 依赖检查完成
echo.
echo [3/3] 运行测试...
echo.
python test_fillna_operations.py
echo.
echo ========================================
echo 测试完成
echo ========================================
pause