4c6eaaecbf
feat(dc): Implement Postgres-Only async architecture and performance optimization
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Summary:
- Implement async file upload processing (Platform-Only pattern)
- Add parseExcelWorker with pg-boss queue
- Implement React Query polling mechanism
- Add clean data caching (avoid duplicate parsing)
- Fix pivot single-value column tuple issue
- Optimize performance by 99 percent
Technical Details:
1. Async Architecture (Postgres-Only):
- SessionService.createSession: Fast upload + push to queue (3s)
- parseExcelWorker: Background parsing + save clean data (53s)
- SessionController.getSessionStatus: Status query API for polling
- React Query Hook: useSessionStatus (auto-serial polling)
- Frontend progress bar with real-time feedback
2. Performance Optimization:
- Clean data caching: Worker saves processed data to OSS
- getPreviewData: Read from clean data cache (0.5s vs 43s, -99 percent)
- getFullData: Read from clean data cache (0.5s vs 43s, -99 percent)
- Intelligent cleaning: Boundary detection + ghost column/row removal
- Safety valve: Max 3000 columns, 5M cells
3. Bug Fixes:
- Fix pivot column name tuple issue for single value column
- Fix queue name format (colon to underscore: asl:screening -> asl_screening)
- Fix polling storm (15+ concurrent requests -> 1 serial request)
- Fix QUEUE_TYPE environment variable (memory -> pgboss)
- Fix logger import in PgBossQueue
- Fix formatSession to return cleanDataKey
- Fix saveProcessedData to update clean data synchronously
4. Database Changes:
- ALTER TABLE dc_tool_c_sessions ADD COLUMN clean_data_key VARCHAR(1000)
- ALTER TABLE dc_tool_c_sessions ALTER COLUMN total_rows DROP NOT NULL
- ALTER TABLE dc_tool_c_sessions ALTER COLUMN total_cols DROP NOT NULL
- ALTER TABLE dc_tool_c_sessions ALTER COLUMN columns DROP NOT NULL
5. Documentation:
- Create Postgres-Only async task processing guide (588 lines)
- Update Tool C status document (Day 10 summary)
- Update DC module status document
- Update system overview document
- Update cloud-native development guide
Performance Improvements:
- Upload + preview: 96s -> 53.5s (-44 percent)
- Filter operation: 44s -> 2.5s (-94 percent)
- Pivot operation: 45s -> 2.5s (-94 percent)
- Concurrent requests: 15+ -> 1 (-93 percent)
- Complete workflow (upload + 7 ops): 404s -> 70.5s (-83 percent)
Files Changed:
- Backend: 15 files (Worker, Service, Controller, Schema, Config)
- Frontend: 4 files (Hook, Component, API)
- Docs: 4 files (Guide, Status, Overview, Spec)
- Database: 4 column modifications
- Total: ~1388 lines of new/modified code
Status: Fully tested and verified, production ready
2025-12-22 21:30:31 +08:00
9b81aef9a7
feat(dc): Add multi-metric transformation feature (direction 1+2)
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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
2025-12-21 15:06:15 +08:00
19f9c5ea93
docs(deployment): Fix 8 critical deployment issues and enhance documentation
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Summary of fixes:
- Fix service discovery address (change .sae domain to internal IP)
- Unify timezone configuration (Asia/Shanghai for all services)
- Enhance ECS security group configuration (Redis/Weaviate port binding)
- Add image pull strategy best practices
- Add Python service memory management guidelines
- Update Dify API Key deployment strategy (avoid deadlock)
- Add SSH tunnel for RDS database access
- Add NAT gateway cost optimization explanation
Modified files (7 docs):
- 00-部署架构总览.md (enhanced with 7 sections)
- 03-Dify-ECS部署完全指南.md (security hardening)
- 04-Python微服务-SAE容器部署指南.md (timezone + service discovery)
- 05-Node.js后端-SAE容器部署指南.md (timezone configuration)
- PostgreSQL部署策略-摸底报告.md (timezone best practice)
- 07-关键配置补充说明.md (3 new sections)
- 08-部署检查清单.md (service address fix)
New files:
- 文档修正报告-20251214.md (comprehensive fix report)
- Review documents from technical team
Impact:
- Fixed 3 P0/P1 critical issues (100% connection failure risk)
- Fixed 3 P2 important issues (stability and maintainability)
- Added 2 P3 best practices (developer convenience)
Status: All deployment documents reviewed and corrected, ready for production deployment
2025-12-14 13:25:28 +08:00
fa72beea6c
feat(platform): Complete Postgres-Only architecture refactoring (Phase 1-7)
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Major Changes:
- Implement Platform-Only architecture pattern (unified task management)
- Add PostgresCacheAdapter for unified caching (platform_schema.app_cache)
- Add PgBossQueue for job queue management (platform_schema.job)
- Implement CheckpointService using job.data (generic for all modules)
- Add intelligent threshold-based dual-mode processing (THRESHOLD=50)
- Add task splitting mechanism (auto chunk size recommendation)
- Refactor ASL screening service with smart mode selection
- Refactor DC extraction service with smart mode selection
- Register workers for ASL and DC modules
Technical Highlights:
- All task management data stored in platform_schema.job.data (JSONB)
- Business tables remain clean (no task management fields)
- CheckpointService is generic (shared by all modules)
- Zero code duplication (DRY principle)
- Follows 3-layer architecture principle
- Zero additional cost (no Redis needed, save 8400 CNY/year)
Code Statistics:
- New code: ~1750 lines
- Modified code: ~500 lines
- Test code: ~1800 lines
- Documentation: ~3000 lines
Testing:
- Unit tests: 8/8 passed
- Integration tests: 2/2 passed
- Architecture validation: passed
- Linter errors: 0
Files:
- Platform layer: PostgresCacheAdapter, PgBossQueue, CheckpointService, utils
- ASL module: screeningService, screeningWorker
- DC module: ExtractionController, extractionWorker
- Tests: 11 test files
- Docs: Updated 4 key documents
Status: Phase 1-7 completed, Phase 8-9 pending
2025-12-13 16:10:04 +08:00
74cf346453
feat(dc/tool-c): Add missing value imputation feature with 6 methods and MICE
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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
75ceeb0653
hotfix(dc/tool-c): Fix compute formula validation and binning NaN serialization
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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
91cab452d1
fix(dc/tool-c): Fix special character handling and improve UX
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Major fixes:
- Fix pivot transformation with special characters in column names
- Fix compute column validation for Chinese punctuation
- Fix recode dialog to fetch unique values from full dataset via new API
- Add column mapping mechanism to handle special characters
Database migration:
- Add column_mapping field to dc_tool_c_sessions table
- Migration file: 20251208_add_column_mapping
UX improvements:
- Darken table grid lines for better visibility
- Reduce column width by 40% with tooltip support
- Insert new columns next to source columns
- Preserve original row order after operations
- Add notice about 50-row preview limit
Modified files:
- Backend: SessionService, SessionController, QuickActionService, routes
- Python: pivot.py, compute.py, recode.py, binning.py, conditional.py
- Frontend: DataGrid, RecodeDialog, index.tsx, ag-grid-custom.css
- Database: schema.prisma, migration SQL
Status: Code complete, database migrated, ready for testing
2025-12-08 23:20:55 +08:00
f729699510
feat(dc): Complete Tool C quick action buttons Phase 1-2 - 7 functions
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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
2c7ed94161
feat(dc/tool-c): 完成前端基础框架(Day 4 MVP)
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核心功能:
- 新增Tool C主入口(index.tsx, 258行):状态管理+布局
- 新增Header组件(91行):顶栏+返回按钮+导出
- 新增Toolbar组件(104行):7个快捷按钮+搜索框
- 新增DataGrid组件(111行):AG Grid Community集成
- 新增Sidebar组件(149行):右侧栏骨架版
- 新增API封装(toolC.ts, 218行):8个API方法
- 新增类型定义(types/index.ts, 62行)
AG Grid集成:
- 安装ag-grid-community + ag-grid-react
- Excel风格表格渲染
- 列排序、过滤、调整宽度
- 缺失值高亮显示(红色斜体)
- 数值右对齐
- 自定义Emerald绿色主题(ag-grid-custom.css, 113行)
- 虚拟滚动支持大数据
路由配置:
- 更新dc/index.tsx:新增ToolCModule懒加载
- 更新Portal.tsx:Tool C状态改为ready
- 路径:/data-cleaning/tool-c
API封装(8个方法):
- uploadFile(上传CSV/Excel)
- getSession(获取Session元数据)
- getPreviewData(获取预览数据)
- updateHeartbeat(延长10分钟)
- generateCode(生成代码,不执行)
- executeCode(执行代码)
- processMessage(生成+执行,一步到位)核心API
- getChatHistory(对话历史)
文档更新:
- 新增Day 4前端基础完成总结(213行)
- 更新工具C当前状态文档
- 更新TODO清单(Day 1-4标记完成)
- 更新系统总体设计文档
测试数据准备:
- cqol-demo.csv(21列x313行真实医疗数据)
- G鼓膜穿孔数据.xlsx(备用)
Day 5待完成:
- MessageItem组件(消息渲染)
- CodeBlock组件(Prism.js代码高亮)
- InputArea组件(输入框交互)
- InsightsPanel组件(数据洞察)
- 完善Sidebar(完整Chat交互)
- 端到端测试
影响范围:
- frontend-v2/src/modules/dc/pages/tool-c/*(新增11个文件)
- frontend-v2/src/modules/dc/api/toolC.ts(新增)
- frontend-v2/src/modules/dc/index.tsx(更新路由)
- frontend-v2/src/modules/dc/pages/Portal.tsx(启用Tool C)
- docs/03-业务模块/DC-数据清洗整理/*(文档更新)
- package.json(新增依赖)
Breaking Changes: 无
总代码行数:+1106行(前端基础框架)
Refs: #Tool-C-Day4
2025-12-07 17:40:07 +08:00