HaHafeng
9b81aef9a7
Summary: - Implement intelligent multi-metric grouping detection algorithm - Add direction 1: timepoint-as-row, metric-as-column (analysis format) - Add direction 2: timepoint-as-column, metric-as-row (display format) - Fix column name pattern detection (FMA___ issue) - Maintain original Record ID order in output - Add full-select/clear buttons in UI - Integrate into TransformDialog with Radio selection - Update 3 documentation files Technical Details: - Python: detect_metric_groups(), apply_multi_metric_to_long(), apply_multi_metric_to_matrix() - Backend: 3 new methods in QuickActionService - Frontend: MultiMetricPanel.tsx (531 lines) - Total: ~1460 lines of new code Status: Fully tested and verified, ready for production
62 lines
1.1 KiB
Batchfile
62 lines
1.1 KiB
Batchfile
@echo off
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REM Windows批处理脚本 - 运行缺失值处理功能测试
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echo ========================================
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echo 缺失值处理功能 - 自动化测试
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echo ========================================
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echo.
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REM 检查Python是否安装
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python --version >nul 2>&1
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if %errorlevel% neq 0 (
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echo [错误] Python未安装或不在PATH中
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pause
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exit /b 1
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)
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echo [1/3] 检查Python服务状态...
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curl -s http://localhost:8001/health >nul 2>&1
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if %errorlevel% neq 0 (
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echo [警告] Python服务未运行，请先启动服务：
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echo cd extraction_service
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echo python main.py
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echo.
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pause
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exit /b 1
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)
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echo [OK] Python服务运行正常
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echo.
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echo [2/3] 检查依赖...
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python -c "import pandas, numpy, requests" >nul 2>&1
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if %errorlevel% neq 0 (
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echo [警告] 缺少依赖，正在安装...
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pip install pandas numpy requests
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)
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echo [OK] 依赖检查完成
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echo.
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echo [3/3] 运行测试...
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echo.
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python test_fillna_operations.py
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echo.
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echo ========================================
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echo 测试完成
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echo ========================================
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pause
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