feat(dc): Add multi-metric transformation feature (direction 1+2)

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

docs/03-业务模块/DC-数据清洗整理/04-开发计划/工具C_AI_Few-shot示例库.md

@@ -539,3 +539,9 @@ df['creatinine'] = pd.to_numeric(df['creatinine'], errors='coerce')
 
 
 
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docs/03-业务模块/DC-数据清洗整理/04-开发计划/工具C_Bug修复总结_2025-12-08.md

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docs/03-业务模块/DC-数据清洗整理/04-开发计划/工具C_Day3开发计划.md

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docs/03-业务模块/DC-数据清洗整理/04-开发计划/工具C_Day4-5前端开发计划.md

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docs/03-业务模块/DC-数据清洗整理/04-开发计划/工具C_Pivot列顺序优化总结.md

@@ -196,3 +196,9 @@ FMA___基线 | FMA___1个月 | FMA___2个月
 
 
 
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docs/03-业务模块/DC-数据清洗整理/04-开发计划/工具C_方案B实施总结_2025-12-09.md

@@ -354,3 +354,9 @@ formula = "FMA总分（0-100） / 100"
 
 
 
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docs/03-业务模块/DC-数据清洗整理/04-开发计划/工具C_缺失值处理_开发进度_2025-12-10.md

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docs/03-业务模块/DC-数据清洗整理/04-开发计划/工具C_缺失值处理功能_更新说明.md

@@ -160,3 +160,9 @@ method: 'mean' | 'median' | 'mode' | 'constant' | 'ffill' | 'bfill'
 
 
 
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