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
f4f1d09837
feat(dc/tool-c): Add pivot column ordering and NA handling features
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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
