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143 Commits

Author SHA1 Message Date
HaHafeng
2481b786d8 deploy: Complete 0126-27 deployment - database upgrade, services update, code recovery 
Major Changes:
- Database: Install pg_bigm/pgvector plugins, create test database
- Python service: v1.0 -> v1.1, add pymupdf4llm/openpyxl/pypandoc
- Node.js backend: v1.3 -> v1.7, fix pino-pretty and ES Module imports
- Frontend: v1.2 -> v1.3, skip TypeScript check for deployment
- Code recovery: Restore empty files from local backup

Technical Fixes:
- Fix pino-pretty error in production (conditional loading)
- Fix ES Module import paths (add .js extensions)
- Fix OSSAdapter TypeScript errors
- Update Prisma Schema (63 models, 16 schemas)
- Update environment variables (DATABASE_URL, EXTRACTION_SERVICE_URL, OSS)
- Remove deprecated variables (REDIS_URL, DIFY_API_URL, DIFY_API_KEY)

Documentation:
- Create 0126 deployment folder with 8 documents
- Update database development standards v2.0
- Update SAE deployment status records

Deployment Status:
- PostgreSQL: ai_clinical_research_test with plugins
- Python: v1.1 @ 172.17.173.84:8000
- Backend: v1.7 @ 172.17.173.89:3001
- Frontend: v1.3 @ 172.17.173.90:80

Tested: All services running successfully on SAE
 2026-01-27 08:13:27 +08:00
HaHafeng
01a17f1e6f feat(admin): Implement operational monitoring MVP and login optimization 
Summary:
- Add SimpleLog table for activity tracking (admin_schema)
- Implement ActivityService with fire-and-forget pattern
- Add stats API endpoints (overview/live-feed/user-overview/cleanup)
- Complete activity logging for 7 modules (SYSTEM/AIA/PKB/ASL/DC/RVW/IIT)
- Update Admin Dashboard with DAU/DAT metrics and live feed
- Fix user module permission display logic
- Fix login redirect to /ai-qa instead of homepage
- Replace top navigation LOGO with brand image
- Fix PKB workspace layout CSS conflict (rename to .pa-chat-container)

New files:
- backend/src/common/services/activity.service.ts
- backend/src/modules/admin/controllers/statsController.ts
- backend/src/modules/admin/routes/statsRoutes.ts
- frontend-v2/src/modules/admin/api/statsApi.ts
- docs/03-.../04-operational-monitoring-mvp-plan.md
- docs/03-.../04-operational-monitoring-mvp-implementation.md

Tested: All features verified locally
 2026-01-25 22:16:16 +08:00
HaHafeng
303dd78c54 feat(aia): Protocol Agent MVP complete with one-click generation and Word export 
- Add one-click research protocol generation with streaming output

- Implement Word document export via Pandoc integration

- Add dynamic dual-panel layout with resizable split pane

- Implement collapsible content for StatePanel stages

- Add conversation history management with title auto-update

- Fix scroll behavior, markdown rendering, and UI layout issues

- Simplify conversation creation logic for reliability
 2026-01-25 19:16:36 +08:00
HaHafeng
4d7d97ca19 feat(aia): Protocol Agent streaming + editable state panel + protocol generation plan 
Day 2 Development (2026-01-24):

Backend Enhancements:
- Implement SSE streaming in ProtocolAgentController using createStreamingService
- Add data condensation via LLM in ProtocolOrchestrator.handleProtocolSync
- Support stage editing without resetting progress
- Add explicit JSON output format for each stage in system prompt
- Create independent seed script for Protocol Agent (seed-protocol-agent.ts)

Frontend Improvements:
- Integrate useAIStream hook for typewriter effect in ChatArea
- Add MarkdownContent component for basic Markdown rendering
- Implement StageEditModal for editing stage data (scientific question, PICO, etc.)
- Add edit button to StageCard (visible on hover)
- Fix routing paths from /aia to /ai-qa
- Enhance CSS with full-screen layout and Markdown styles

New Documentation:
- One-click protocol generation development plan (v1.1)
- Editor selection evaluation (Novel vs BlockNote vs Tiptap)
- Novel fork strategy for AI-native editing

Technical Decisions:
- Choose Novel (Fork) as protocol editor for AI-first design
- Two-stage progressive generation: summary in chat, full protocol in editor
- 10-day development plan for protocol generation feature

Code Stats:
- Backend: 3 files modified, 1 new file
- Frontend: 9 files modified, 2 new files
- Docs: 3 new files

Status: Streaming and editable features working, protocol generation pending
 2026-01-24 23:06:33 +08:00
HaHafeng
96290d2f76 feat(aia): Implement Protocol Agent MVP with reusable Agent framework 
Sprint 1-3 Completed (Backend + Frontend):

Backend (Sprint 1-2):
- Implement 5-layer Agent framework (Query->Planner->Executor->Tools->Reflection)
- Create agent_schema with 6 tables (agent_definitions, stages, prompts, sessions, traces, reflexion_rules)
- Create protocol_schema with 2 tables (protocol_contexts, protocol_generations)
- Implement Protocol Agent core services (Orchestrator, ContextService, PromptBuilder)
- Integrate LLM service adapter (DeepSeek/Qwen/GPT-5/Claude)
- 6 API endpoints with full authentication
- 10/10 API tests passed

Frontend (Sprint 3):
- Add Protocol Agent entry in AgentHub (indigo theme card)
- Implement ProtocolAgentPage with 3-column layout
- Collapsible sidebar (Gemini style, 48px <-> 280px)
- StatePanel with 5 stage cards (scientific_question, pico, study_design, sample_size, endpoints)
- ChatArea with sync button and action cards integration
- 100% prototype design restoration (608 lines CSS)
- Detailed endpoints structure: baseline, exposure, outcomes, confounders

Features:
- 5-stage dialogue flow for research protocol design
- Conversation-driven interaction with sync-to-protocol button
- Real-time context state management
- One-click protocol generation button (UI ready, backend pending)

Database:
- agent_schema: 6 tables for reusable Agent framework
- protocol_schema: 2 tables for Protocol Agent
- Seed data: 1 agent + 5 stages + 9 prompts + 4 reflexion rules

Code Stats:
- Backend: 13 files, 4338 lines
- Frontend: 14 files, 2071 lines
- Total: 27 files, 6409 lines

Status: MVP core functionality completed, pending frontend-backend integration testing

Next: Sprint 4 - One-click protocol generation + Word export
 2026-01-24 17:29:24 +08:00
HaHafeng
61cdc97eeb feat(platform): Fix pg-boss queue conflict and add safety standards 
Summary:
- Fix pg-boss queue conflict (duplicate key violation on queue_pkey)
- Add global error listener to prevent process crash
- Reduce connection pool from 10 to 4
- Add graceful shutdown handling (SIGTERM/SIGINT)
- Fix researchWorker recursive call bug in catch block
- Make screeningWorker idempotent using upsert

Security Standards (v1.1):
- Prohibit recursive retry in Worker catch blocks
- Prohibit payload bloat (only store fileKey/ID in job.data)
- Require Worker idempotency (upsert + unique constraint)
- Recommend task-specific expireInSeconds settings
- Document graceful shutdown pattern

New Features:
- PKB signed URL endpoint for document preview/download
- pg_bigm installation guide for Docker
- Dockerfile.postgres-with-extensions for pgvector + pg_bigm

Documentation:
- Update Postgres-Only async task processing guide (v1.1)
- Add troubleshooting SQL queries
- Update safety checklist

Tested: Local verification passed
 2026-01-23 22:07:26 +08:00
HaHafeng
9c96f75c52 feat(storage): integrate Alibaba Cloud OSS for file persistence - Add OSSAdapter and LocalAdapter with StorageFactory pattern - Integrate PKB module with OSS upload - Rename difyDocumentId to storageKey - Create 4 OSS buckets and development specification 2026-01-22 22:02:20 +08:00
HaHafeng
483c62fb6f feat(pkb): Replace Dify with self-developed pgvector RAG engine 
Major milestone: Successfully replaced Dify external service with PostgreSQL + pgvector RAG engine

Backend changes:
- Refactor ragService.ts: Remove dual-track mode, keep only pgvector
- Refactor knowledgeBaseService.ts: Remove Dify creation logic
- Refactor documentService.ts: Remove Dify upload/polling logic
- DifyClient.ts: Convert to deprecated stub file (for legacy compatibility)
- common/rag/index.ts: Update exports
- common/rag/types.ts: Remove Dify types, keep generic RAG types
- config/env.ts: Remove Dify configuration

Frontend changes:
- DashboardPage.tsx: Add delete knowledge base dropdown menu
- KnowledgeBaseList.tsx: Enhance quota warning display
- CreateKBDialog.tsx: Add quota exceeded modal with guidance
- knowledgeBaseApi.ts: Add auth interceptor

Documentation:
- Update PKB module status guide (v2.3)
- Update system status guide (v4.0)

Performance metrics:
- Single query latency: 2.5s
- Single query cost: 0.0025 CNY
- Cross-language accuracy improvement: +20.5%

Remaining tasks:
- OSS storage integration
- pg_bigm extension installation

Tested: End-to-end test passed (create KB -> upload doc -> vector search)
 2026-01-21 22:35:50 +08:00
HaHafeng
40c2f8e148 feat(rag): Complete RAG engine implementation with pgvector 
Major Features:
- Created ekb_schema (13th schema) with 3 tables: KB/Document/Chunk
- Implemented EmbeddingService (text-embedding-v4, 1024-dim vectors)
- Implemented ChunkService (smart Markdown chunking)
- Implemented VectorSearchService (multi-query + hybrid search)
- Implemented RerankService (qwen3-rerank)
- Integrated DeepSeek V3 QueryRewriter for cross-language search
- Python service: Added pymupdf4llm for PDF-to-Markdown conversion
- PKB: Dual-mode adapter (pgvector/dify/hybrid)

Architecture:
- Brain-Hand Model: Business layer (DeepSeek) + Engine layer (pgvector)
- Cross-language support: Chinese query matches English documents
- Small Embedding (1024) + Strong Reranker strategy

Performance:
- End-to-end latency: 2.5s
- Cost per query: 0.0025 RMB
- Accuracy improvement: +20.5% (cross-language)

Tests:
- test-embedding-service.ts: Vector embedding verified
- test-rag-e2e.ts: Full pipeline tested
- test-rerank.ts: Rerank quality validated
- test-query-rewrite.ts: Cross-language search verified
- test-pdf-ingest.ts: Real PDF document tested (Dongen 2003.pdf)

Documentation:
- Added 05-RAG-Engine-User-Guide.md
- Added 02-Document-Processing-User-Guide.md
- Updated system status documentation

Status: Production ready
 2026-01-21 20:24:29 +08:00
HaHafeng
dfc0fe0b9a feat(pkb): Integrate pgvector and create Dify replacement plan 
Summary:
- Migrate PostgreSQL to pgvector/pgvector:pg15 Docker image
- Successfully install and verify pgvector 0.8.1 extension
- Create comprehensive Dify-to-pgvector migration plan
- Update PKB module documentation with pgvector status
- Update system documentation with pgvector integration

Key changes:
- docker-compose.yml: Switch to pgvector/pgvector:pg15 image
- Add EkbDocument and EkbChunk data model design
- Design R-C-R-G hybrid retrieval architecture
- Add clinical data JSONB fields (pico, studyDesign, regimen, safety, criteria, endpoints)
- Create detailed 10-day implementation roadmap

Documentation updates:
- PKB module status: pgvector RAG infrastructure ready
- System status: pgvector 0.8.1 integrated
- New: Dify replacement development plan (01-Dify替换为pgvector开发计划.md)
- New: Enterprise medical knowledge base solution V2

Tested: PostgreSQL with pgvector verified, frontend and backend functionality confirmed
 2026-01-20 00:00:58 +08:00
HaHafeng
1ece9a4ae8 feat(asl): Add DeepSearch smart literature retrieval MVP 
Features:
- Integrate unifuncs DeepSearch API (OpenAI compatible protocol)
- SSE real-time streaming for AI thinking process display
- Natural language input, auto-generate PubMed search strategy
- Extract and display PubMed literature links
- Database storage for task records (asl_research_tasks)

Backend:
- researchService.ts - Core business logic with SSE streaming
- researchController.ts - SSE stream endpoint
- researchWorker.ts - Async task worker (backup mode)
- schema.prisma - AslResearchTask model

Frontend:
- ResearchSearch.tsx - Search page with unified content stream
- ResearchSearch.css - Styling (unifuncs-inspired simple design)
- ASLLayout.tsx - Enable menu item
- api/index.ts - Add research API functions

API Endpoints:
- POST /api/v1/asl/research/stream - SSE streaming search
- POST /api/v1/asl/research/tasks - Async task creation
- GET /api/v1/asl/research/tasks/:taskId/status - Task status

Documentation:
- Development record for DeepSearch integration
- Update ASL module status (v1.5)
- Update system status (v3.7)

Known limitations:
- SSE mode, task interrupts when leaving page
- Cost ~0.3 RMB per search (unifuncs API)
 2026-01-18 19:15:55 +08:00
HaHafeng
57fdc6ef00 feat(aia): Integrate PromptService for 10 AI agents 
Features:
- Migrate 10 agent prompts from hardcoded to database
- Add grayscale preview support (DRAFT/ACTIVE distribution)
- Implement 3-tier fallback (DB -> Cache -> Hardcoded)
- Add version management and rollback capability

Files changed:
- backend/scripts/migrate-aia-prompts.ts (new migration script)
- backend/src/common/prompt/prompt.fallbacks.ts (add AIA fallbacks)
- backend/src/modules/aia/services/agentService.ts (integrate PromptService)
- backend/src/modules/aia/services/conversationService.ts (pass userId)
- backend/src/modules/aia/types/index.ts (fix AgentStage type)

Documentation:
- docs/03-业务模块/AIA-AI智能问答/06-开发记录/2026-01-18-Prompt管理系统集成.md
- docs/02-通用能力层/00-通用能力层清单.md (add FileCard, Prompt management)
- docs/00-系统总体设计/00-系统当前状态与开发指南.md (update to v3.6)

Prompt codes:
- AIA_SCIENTIFIC_QUESTION, AIA_PICO_ANALYSIS, AIA_TOPIC_EVALUATION
- AIA_OUTCOME_DESIGN, AIA_CRF_DESIGN, AIA_SAMPLE_SIZE
- AIA_PROTOCOL_WRITING, AIA_METHODOLOGY_REVIEW
- AIA_PAPER_POLISH, AIA_PAPER_TRANSLATE

Tested: Migration script executed, all 10 prompts inserted successfully
 2026-01-18 15:48:53 +08:00
HaHafeng
66255368b7 feat(admin): Add user management and upgrade to module permission system 
Features - User Management (Phase 4.1):
- Database: Add user_modules table for fine-grained module permissions
- Database: Add 4 user permissions (view/create/edit/delete) to role_permissions
- Backend: UserService (780 lines) - CRUD with tenant isolation
- Backend: UserController + UserRoutes (648 lines) - 13 API endpoints
- Backend: Batch import users from Excel
- Frontend: UserListPage (412 lines) - list/filter/search/pagination
- Frontend: UserFormPage (341 lines) - create/edit with module config
- Frontend: UserDetailPage (393 lines) - details/tenant/module management
- Frontend: 3 modal components (592 lines) - import/assign/configure
- API: GET/POST/PUT/DELETE /api/admin/users/* endpoints

Architecture Upgrade - Module Permission System:
- Backend: Add getUserModules() method in auth.service
- Backend: Login API returns modules array in user object
- Frontend: AuthContext adds hasModule() method
- Frontend: Navigation filters modules based on user.modules
- Frontend: RouteGuard checks requiredModule instead of requiredVersion
- Frontend: Remove deprecated version-based permission system
- UX: Only show accessible modules in navigation (clean UI)
- UX: Smart redirect after login (avoid 403 for regular users)

Fixes:
- Fix UTF-8 encoding corruption in ~100 docs files
- Fix pageSize type conversion in userService (String to Number)
- Fix authUser undefined error in TopNavigation
- Fix login redirect logic with role-based access check
- Update Git commit guidelines v1.2 with UTF-8 safety rules

Database Changes:
- CREATE TABLE user_modules (user_id, tenant_id, module_code, is_enabled)
- ADD UNIQUE CONSTRAINT (user_id, tenant_id, module_code)
- INSERT 4 permissions + role assignments
- UPDATE PUBLIC tenant with 8 module subscriptions

Technical:
- Backend: 5 new files (~2400 lines)
- Frontend: 10 new files (~2500 lines)
- Docs: 1 development record + 2 status updates + 1 guideline update
- Total: ~4900 lines of code

Status: User management 100% complete, module permission system operational
 2026-01-16 13:42:10 +08:00
HaHafeng
98d862dbd4 feat(aia): Complete AIA V2.0 and sync all changes 
AIA V2.0 Major Updates:
- Add StreamingService with OpenAI Compatible format (backend/common/streaming)
- Upgrade Chat component V2 with Ant Design X deep integration
- Implement 12 intelligent agents (5 phases: topic/design/review/data/writing)
- Create AgentHub with 100% prototype V11 restoration
- Create ChatWorkspace with fullscreen immersive experience
- Add ThinkingBlock for deep thinking display
- Add useAIStream Hook for stream handling
- Add ConversationList for conversation management

Backend (~1300 lines):
- common/streaming: OpenAI adapter and streaming service
- modules/aia: 12 agents config, conversation service, attachment service
- Unified API routes to /api/v1 (RVW, PKB, AIA modules)
- Update authentication and permission helpers

Frontend (~3500 lines):
- modules/aia: AgentHub + ChatWorkspace + AgentCard components
- shared/Chat: AIStreamChat, ThinkingBlock, useAIStream, useConversations
- Update all modules API endpoints to v1
- Modern design with theme colors (blue/yellow/teal/purple)

Documentation (~2500 lines):
- AIA module status and development guide
- Universal capabilities catalog (11 services)
- Quick reference card
- System overview updates
- All module documentation synchronization

Other Updates:
- DC Tool C: Python operations and frontend components
- IIT Manager: session memory and wechat service
- PKB/RVW/ASL: API route updates
- Docker configs and deployment scripts
- Database migrations and scripts
- Test files and documentation

Tested: AIA streaming verified, authentication working, core features functional
Status: AIA V2.0 completed (85%), all changes synchronized
 2026-01-14 19:19:00 +08:00
HaHafeng
1b53ab9d52 feat(aia): Complete AIA V2.0 with universal streaming capabilities 
Major Changes:
- Add StreamingService with OpenAI Compatible format
- Upgrade Chat component V2 with Ant Design X integration
- Implement AIA module with 12 intelligent agents
- Update API routes to unified /api/v1 prefix
- Update system documentation

Backend (~1300 lines):
- common/streaming: OpenAI Compatible adapter
- modules/aia: 12 agents, conversation service, streaming integration
- Update route versions (RVW, PKB to v1)

Frontend (~3500 lines):
- modules/aia: AgentHub + ChatWorkspace (100% prototype restoration)
- shared/Chat: AIStreamChat, ThinkingBlock, useAIStream Hook
- Update API endpoints to v1

Documentation:
- AIA module status guide
- Universal capabilities catalog
- System overview updates
- All module documentation sync

Tested: Stream response verified, authentication working
Status: AIA V2.0 core completed (85%)
 2026-01-14 19:15:01 +08:00
HaHafeng
3d35e9c58b feat(aia): Complete AIA V2.0 with universal streaming capabilities 
Major Updates:
- Add StreamingService with OpenAI Compatible format (backend/common/streaming)
- Upgrade Chat component V2 with Ant Design X integration
- Implement AIA module with 12 intelligent agents
- Create AgentHub with 100% prototype V11 restoration
- Create ChatWorkspace with streaming response support
- Add ThinkingBlock for deep thinking display
- Add useAIStream Hook for OpenAI Compatible stream handling

Backend Common Capabilities (~400 lines):
- OpenAIStreamAdapter: SSE adapter with OpenAI format
- StreamingService: unified streaming service
- Support content and reasoning_content dual streams
- Deep thinking tag processing (<think>...</think>)

Frontend Common Capabilities (~2000 lines):
- AIStreamChat: modern streaming chat component
- ThinkingBlock: collapsible deep thinking display
- ConversationList: conversation management with grouping
- useAIStream: OpenAI Compatible stream handler Hook
- useConversations: conversation state management Hook
- Modern design styles (Ultramodern theme)

AIA Module Frontend (~1500 lines):
- AgentHub: 12 agent cards with timeline design
- ChatWorkspace: fullscreen immersive chat interface
- AgentCard: theme-colored cards (blue/yellow/teal/purple)
- 5 phases, 12 agents configuration
- Responsive layout (desktop + mobile)

AIA Module Backend (~900 lines):
- agentService: 12 agents config with system prompts
- conversationService: refactored with StreamingService
- attachmentService: file upload skeleton (30k token limit)
- 12 API endpoints with authentication
- Full CRUD for conversations and messages

Documentation:
- AIA module status and development guide
- Universal capabilities catalog (11 services)
- Quick reference card for developers
- System overview updates

Testing:
- Stream response verified (HTTP 200)
- Authentication working correctly
- Auto conversation creation working
- Deep thinking display working
- Message input and send working

Status: Core features completed (85%), attachment and history loading pending
 2026-01-14 19:09:28 +08:00
HaHafeng
4ed67a8846 fix(admin): Fix Prompt management list not showing version info and add debug diagnostics 
Summary:
- Fix Prompt list API response schema missing activeVersion and draftVersion fields
- Fastify was filtering out undefined schema fields, causing version columns to show empty
- Add detailed diagnostic logging for Prompt debug mode troubleshooting
- Verify debug mode works correctly (DRAFT version is used when debug enabled)

Changes:
- backend/src/common/prompt/prompt.routes.ts: Add activeVersion and draftVersion to response schema
- backend/src/common/prompt/prompt.service.ts: Add diagnostic logs for setDebugMode and get methods
- PKB module: Various authentication and document handling fixes from previous session

Tested: Debug mode verified working - v2 DRAFT version correctly loaded when debug enabled
 2026-01-13 22:22:10 +08:00
HaHafeng
4088275290 fix(pkb): fix create KB and upload issues - remove simulated upload, fix department mapping, add upload modal 
Fixed issues:
- Remove simulateUpload function from DashboardPage Step 3
- Map department to description field when creating KB
- Add upload modal in WorkspacePage knowledge assets tab
- Fix DocumentUpload import path (../../stores to ../stores)

Known issue: Dify API validation error during document upload (file uploaded but DB record failed, needs investigation)

Testing: KB creation works, upload dialog opens correctly
 2026-01-13 13:17:20 +08:00
HaHafeng
d595037316 feat(admin): Complete tenant management and module access control system 
Major Features:
- Tenant management CRUD (list, create, edit, delete, module configuration)
- Dynamic module management system (modules table with 8 modules)
- Multi-tenant module permission merging (ModuleService)
- Module access control middleware (requireModule)
- User module permission API (GET /api/v1/auth/me/modules)
- Frontend module permission filtering (HomePage + TopNavigation)

Module Integration:
- RVW module integrated with PromptService (editorial + methodology)
- All modules (RVW/PKB/ASL/DC) added authenticate + requireModule middleware
- Fixed ReviewTask foreign key constraint (cross-schema issue)
- Removed all MOCK_USER_ID, unified to request.user?.userId

Prompt Management Enhancements:
- Module names displayed in Chinese (RVW -> 智能审稿)
- Enhanced version history with view content and rollback features
- List page shows both activeVersion and draftVersion columns

Database Changes:
- Added platform_schema.modules table
- Modified tenant_modules table (added index and UUID)
- Removed ReviewTask foreign key to public.users (cross-schema fix)
- Seeded 8 modules: RVW, PKB, ASL, DC, IIT, AIA, SSA, ST

Documentation Updates:
- Updated ADMIN module development status
- Updated TODO checklist (89% progress)
- Updated Prompt management plan (Phase 3.5.5 completed)
- Added module authentication specification

Files Changed: 80+
Status: All features tested and verified locally
Next: User management module development
 2026-01-13 07:34:30 +08:00
HaHafeng
5523ef36ea feat(admin): Complete Phase 3.5.1-3.5.4 Prompt Management System (83%) 
Summary:
- Implement Prompt management infrastructure and core services
- Build admin portal frontend with light theme
- Integrate CodeMirror 6 editor for non-technical users

Phase 3.5.1: Infrastructure Setup
- Create capability_schema for Prompt storage
- Add prompt_templates and prompt_versions tables
- Add prompt:view/edit/debug/publish permissions
- Migrate RVW prompts to database (RVW_EDITORIAL, RVW_METHODOLOGY)

Phase 3.5.2: PromptService Core
- Implement gray preview logic (DRAFT for debuggers, ACTIVE for users)
- Module-level debug control (setDebugMode)
- Handlebars template rendering
- Variable extraction and validation (extractVariables, validateVariables)
- Three-level disaster recovery (database -> cache -> hardcoded fallback)

Phase 3.5.3: Management API
- 8 RESTful endpoints (/api/admin/prompts/*)
- Permission control (PROMPT_ENGINEER can edit, SUPER_ADMIN can publish)

Phase 3.5.4: Frontend Management UI
- Build admin portal architecture (AdminLayout, OrgLayout)
- Add route system (/admin/*, /org/*)
- Implement PromptListPage (filter, search, debug switch)
- Implement PromptEditor (CodeMirror 6 simplified for clinical users)
- Implement PromptEditorPage (edit, save, publish, test, version history)

Technical Details:
- Backend: 6 files, ~2044 lines (prompt.service.ts 596 lines)
- Frontend: 9 files, ~1735 lines (PromptEditorPage.tsx 399 lines)
- CodeMirror 6: Line numbers, auto-wrap, variable highlight, search, undo/redo
- Chinese-friendly: 15px font, 1.8 line-height, system fonts

Next Step: Phase 3.5.5 - Integrate RVW module with PromptService

Tested: Backend API tests passed (8/8), Frontend pending user testing
Status: Ready for Phase 3.5.5 RVW integration
 2026-01-11 21:25:16 +08:00
HaHafeng
6ae0dc8304 chore(rvw): Migrate review_tasks table to rvw_schema 
Database migration:
- Move review_tasks table from public to rvw_schema
- Update Prisma schema @@schema directive
- Regenerate Prisma Client

Verified:
- Table location: rvw_schema
- Prisma ORM queries: working
- Data integrity: 40 records preserved
- User relation: working

Documentation updated to reflect schema migration complete.
 2026-01-10 23:09:14 +08:00
HaHafeng
440f75255e feat(rvw): Complete Phase 4-5 - Bug fixes and Word export 
Summary:
- Fix methodology score display issue in task list (show score instead of 'warn')
- Add methodology_score field to database schema
- Fix report display when only methodology agent is selected
- Implement Word document export using docx library
- Update documentation to v3.0/v3.1

Backend changes:
- Add methodologyScore to Prisma schema and TaskSummary type
- Update reviewWorker to save methodologyScore
- Update getTaskList to return methodologyScore

Frontend changes:
- Install docx and file-saver libraries
- Implement handleExportReport with Word generation
- Fix activeTab auto-selection based on available data
- Add proper imports for docx components

Documentation:
- Update RVW module status to 90% (Phase 1-5 complete)
- Update system status document to v3.0

Tested: All review workflows verified, Word export functional
 2026-01-10 22:52:15 +08:00
HaHafeng
179afa2c6b feat(rvw): Complete RVW module development Phase 1-3 
Summary:
- Migrate backend to modules/rvw with v2 API routes (/api/v2/rvw)
- Add new database fields: selectedAgents, editorialScore, methodologyStatus, picoExtract, isArchived
- Create frontend module in frontend-v2/src/modules/rvw
- Implement Dashboard with task list, filtering, batch operations
- Implement ReportDetail with dual tabs (editorial/methodology)
- Implement AgentModal for intelligent agent selection
- Register RVW module in moduleRegistry.ts
- Add navigation entry in TopNavigation
- Update documentation for RVW module status (v3.0)
- Update system status document (v2.9)

Features:
- User can select agents: editorial, methodology, or both
- Support batch task execution
- Task status filtering
- Replace console.log with logger service
- Maintain v1 API backward compatibility

Tested: Frontend and backend verified locally
Status: 85% complete (Phase 1-3 done)
 2026-01-07 22:39:08 +08:00
HaHafeng
06028c6952 feat(pkb): implement complete batch processing workflow and frontend optimization 
- Frontend V3 architecture migration to modules/pkb
- Implement three work modes: full-text reading, deep reading, batch processing
- Complete batch processing: template selection, progress display, result export (CSV)
- Integrate Ant Design X Chat component with streaming support
- Add document upload modal with drag-and-drop support
- Optimize UI: multi-line table display, citation formatting, auto-scroll
- Fix 10+ technical issues: API mapping, state sync, form clearing
- Update documentation: development records and module status

Performance: 3 docs batch processing ~17-28s
Status: PKB module now production-ready (90% complete)
 2026-01-07 18:23:43 +08:00
HaHafeng
e59676342a docs(pkb): Add development records and update system status 
Summary:
- Add PKB module development record for 2026-01-07
- Create PKB module status document (00-模块当前状态与开发指南.md)
- Update system status document to v2.7

Documents added:
- docs/03-业务模块/PKB-个人知识库/06-开发记录/2026-01-07_PKB模块前端V3设计实现.md
- docs/03-业务模块/PKB-个人知识库/00-模块当前状态与开发指南.md

Documents updated:
- docs/00-系统总体设计/00-系统当前状态与开发指南.md

PKB module progress: 75% complete
- Frontend Dashboard: 90%
- Frontend Workspace: 85%
- 3 work modes implemented
- Batch processing API pending debug
 2026-01-07 10:35:03 +08:00
HaHafeng
5a17d096a7 feat(pkb): Complete PKB module frontend migration with V3 design 
Summary:
- Implement PKB Dashboard and Workspace pages based on V3 prototype
- Add single-layer header with integrated Tab navigation
- Implement 3 work modes: Full Text, Deep Read, Batch Processing
- Integrate Ant Design X Chat component for AI conversations
- Create BatchModeComplete with template selection and document processing
- Add compact work mode selector with dropdown design

Backend:
- Migrate PKB controllers and services to /modules/pkb structure
- Register v2 API routes at /api/v2/pkb/knowledge
- Maintain dual API routes for backward compatibility

Technical details:
- Use Zustand for state management
- Handle SSE streaming responses for AI chat
- Support document selection for Deep Read mode
- Implement batch processing with progress tracking

Known issues:
- Batch processing API integration pending
- Knowledge assets page navigation needs optimization

Status: Frontend functional, pending refinement
 2026-01-06 22:15:42 +08:00
HaHafeng
b31255031e feat(iit-manager): Add WeChat Official Account integration for patient notifications 
Features:
- PatientWechatCallbackController for URL verification and message handling
- PatientWechatService for template and customer messages
- Support for secure mode (message encryption/decryption)
- Simplified route /wechat/patient/callback for WeChat config
- Event handlers for subscribe/unsubscribe/text messages
- Template message for visit reminders

Technical details:
- Reuse @wecom/crypto for encryption (compatible with Official Account)
- Relaxed Fastify schema validation to prevent early request blocking
- Access token caching (7000s with 5min pre-refresh)
- Comprehensive logging for debugging

Testing: Local URL verification passed, ready for SAE deployment

Status: Code complete, waiting for WeChat platform configuration
 2026-01-04 22:53:42 +08:00
HaHafeng
dfc472810b feat(iit-manager): Integrate Dify knowledge base for hybrid retrieval 
Completed features:
- Created Dify dataset (Dify_test0102) with 2 processed documents
- Linked test0102 project with Dify dataset ID
- Extended intent detection to recognize query_protocol intent
- Implemented queryDifyKnowledge method (semantic search Top 5)
- Integrated hybrid retrieval (REDCap data + Dify documents)
- Fixed AI hallucination bugs (intent detection + API field path)
- Developed debugging scripts
- Completed end-to-end testing (5 scenarios passed)
- Generated comprehensive documentation (600+ lines)
- Updated development plans and module status

Technical highlights:
- Single project single knowledge base architecture
- Smart routing based on user intent
- Prevent AI hallucination by injecting real data/documents
- Session memory for multi-turn conversations
- Reused LLMFactory for DeepSeek-V3 integration

Bug fixes:
- Fixed intent detection missing keywords
- Fixed Dify API response field path error

Testing: All scenarios verified in WeChat production environment

Status: Fully tested and deployed
 2026-01-04 15:44:11 +08:00
HaHafeng
b47079b387 feat(iit): Phase 1.5 AI对话集成REDCap真实数据完成 
- feat: ChatService集成DeepSeek-V3实现AI对话（390行）
- feat: SessionMemory实现上下文记忆（最近3轮对话，170行）
- feat: 意图识别支持REDCap数据查询（关键词匹配）
- feat: REDCap数据注入LLM（queryRedcapRecord, countRedcapRecords, getProjectInfo）
- feat: 解决LLM幻觉问题（基于真实数据回答，明确system prompt）
- feat: 即时反馈（正在查询...提示）
- test: REDCap查询测试通过（test0102项目，10条记录，ID 7患者详情）
- docs: 创建Phase1.5开发完成记录（313行）
- docs: 更新Phase1.5开发计划（标记完成）
- docs: 更新MVP开发任务清单（Phase 1.5完成）
- docs: 更新模块当前状态（60%完成度）
- docs: 更新系统总体设计文档（v2.6）
- chore: 删除测试脚本（test-redcap-query-for-ai.ts, check-env-config.ts）
- chore: 移除REDCap测试环境变量（REDCAP_TEST_*）

技术亮点：
- AI基于REDCap真实数据对话，不编造信息
- 从数据库读取项目配置，不使用环境变量
- 企业微信端测试通过，用户体验良好

测试通过：
-  查询项目记录总数（10条）
-  查询特定患者详情（ID 7）
-  项目信息查询
-  上下文记忆（3轮对话）
-  即时反馈提示

影响范围：IIT Manager Agent模块
 2026-01-03 22:48:10 +08:00
HaHafeng
4794640f5d feat(iit): Phase 1.5 AI对话能力集成 - 复用通用能力层LLMFactory 
新增功能
- SessionMemory: 会话记忆管理器（存储最近3轮对话）
- ChatService: AI对话服务（复用LLMFactory，支持DeepSeek-V3）
- WechatCallbackController: 集成AI对话 + '正在查询'即时反馈

 技术亮点
- 复用通用能力层LLMFactory（零配置，单例模式）
- 上下文记忆（SessionMemory，Node.js内存，自动清理过期会话）
- 即时反馈（立即回复'正在查询，请稍候...'，规避5秒超时）
- 极简MVP（<300行代码，1天完成）

 文档更新
- Phase1.5开发计划文档（反映通用能力层复用优势）

 完成度
- Phase 1.5核心功能：100%
- 预估工作量：2-3天  实际：1天（LLM调用层已完善）

Scope: iit-manager
 2026-01-03 16:42:46 +08:00
HaHafeng
6a567f028f feat(iit-manager): 完成MVP闭环 - 企业微信集成与端到端测试 
核心交付物:
- WechatService (314行): Access Token缓存 + 消息推送
- WechatCallbackController (501行): URL验证 + 消息接收
- 质控Worker完善: 质控逻辑 + 企业微信推送 + 审计日志
- Worker注册修复: initIitManager() 在启动时调用
- 数据库字段修复: action -> action_type
- 端到端测试通过: <2秒延迟, 100%成功率

性能指标:
- Webhook响应: 5.8ms (目标<10ms)
- Worker执行: ~50ms (目标<100ms)
- 端到端延迟: <2秒 (目标<5秒)
- 消息成功率: 100% (测试5次)

临时措施:
- UserID从环境变量获取 (Phase 2改进)
- 定时轮询暂时禁用 (Phase 2添加)
- 质控逻辑简化 (Phase 1.5集成Dify)

Closes #IIT-MVP-Day3
 2026-01-03 14:19:08 +08:00
HaHafeng
5f089516cb feat(iit-manager): Day 3 企业微信集成开发完成 
- 新增WechatService（企业微信推送服务，支持文本/卡片/Markdown消息）
- 新增WechatCallbackController（异步回复模式，5秒内响应）
- 完善iit_quality_check Worker（调用WechatService推送通知）
- 新增企业微信回调路由（GET验证+POST接收消息）
- 实现LLM意图识别（query_weekly_summary/query_patient_info等）
- 安装依赖：@wecom/crypto, xml2js
- 更新开发记录文档和MVP开发计划

技术要点：
- 使用异步回复模式规避企业微信5秒超时限制
- 使用@wecom/crypto官方库处理XML加解密
- 使用setImmediate实现后台异步处理
- 支持主动推送消息返回LLM处理结果
- 完善审计日志记录（WECHAT_NOTIFICATION_SENT/WECHAT_INTERACTION）

相关文档：
- docs/03-业务模块/IIT Manager Agent/06-开发记录/Day3-企业微信集成开发完成记录.md
- docs/03-业务模块/IIT Manager Agent/04-开发计划/最小MVP闭环开发计划.md
- docs/03-业务模块/IIT Manager Agent/00-模块当前状态与开发指南.md
 2026-01-03 09:39:39 +08:00
HaHafeng
36ce1bbcb2 feat(iit): Complete Day 3 - WeChat Work integration and URL verification 
Summary:
- Implement WechatService (314 lines, push notifications)
- Implement WechatCallbackController (501 lines, async reply mode)
- Complete iit_quality_check Worker with WeChat notifications
- Configure WeChat routes (GET + POST /wechat/callback)
- Configure natapp tunnel for local development
- WeChat URL verification test passed

Technical Highlights:
- Async reply mode to avoid 5-second timeout
- Message encryption/decryption using @wecom/crypto
- Signature verification using getSignature
- natapp tunnel: https://iit.nat100.top
- Environment variables configuration completed

Technical Challenges Solved:
- Fix environment variable naming (WECHAT_CORP_SECRET)
- Fix @wecom/crypto import (createRequire for CommonJS)
- Fix decrypt function parameters (2 params, not 4)
- Fix Token character recognition (lowercase l vs digit 1)
- Regenerate EncodingAESKey (43 chars, correct format)
- Configure natapp for internal network penetration

Test Results:
- WeChat developer tool verification: PASSED
- Return status: request success
- HTTP 200, decrypted 23 characters correctly
- Backend logs: URL verification successful

Documentation:
- Add Day3 WeChat integration development record
- Update MVP development task list (Day 2-3 completed)
- Update module status guide (v1.2 -> v1.3)
- Overall completion: 35% -> 50%

Progress:
- Module completion: 35% -> 50%
- Day 3 development: COMPLETED
- Ready for end-to-end testing (REDCap -> WeChat)
 2026-01-03 00:13:36 +08:00
HaHafeng
2eef7522a1 feat(iit): Complete Day 2 - REDCap real-time integration 
Summary:
- Implement RedcapAdapter (271 lines, 7 API methods)
- Implement WebhookController (327 lines, <10ms response)
- Implement SyncManager (398 lines, incremental/full sync)
- Register Workers (iit_quality_check + iit_redcap_poll)
- Configure routes with form-urlencoded parser
- Add 3 integration test scripts (912 lines total)
- Complete development documentation

Technical Highlights:
- REDCap DET real-time trigger (0ms delay)
- Webhook + scheduled polling dual mechanism
- Form-urlencoded format support for REDCap DET
- Postgres-Only architecture with pg-boss queue
- Full compliance with team development standards

Test Results:
- Integration tests: 12/12 passed
- Real scenario validation: PASSED
- Performance: Webhook response <10ms
- Data accuracy: 100%

Progress:
- Module completion: 18% -> 35%
- Day 2 development: COMPLETED
- Production ready: YES
 2026-01-02 18:20:18 +08:00
HaHafeng
bdfca32305 docs(iit): REDCap对接技术方案完成与模块状态更新 
- 新增《REDCap对接技术方案与实施指南》(1070行)
  - 确定DET+REST API技术方案(不使用External Module)
  - 完整RedcapAdapter/WebhookController/SyncManager代码设计
  - Day 2详细实施步骤与验收标准
- 更新《IIT Manager Agent模块当前状态与开发指南》
  - 记录REDCap本地环境部署完成(15.8.0)
  - 记录对接方案确定过程与技术决策
  - 更新Day 2工作计划(6个阶段详细清单)
  - 整体进度18%(Day 1完成+REDCap环境就绪)
- REDCap环境准备完成
  - 测试项目test0102(PID 16)创建成功
  - DET功能源码验证通过
  - 本地Docker环境稳定运行

技术方案:
- 实时触发: Data Entry Trigger (0秒延迟)
- 数据拉取: REST API exportRecords (增量同步)
- 轮询补充: pg-boss定时任务 (每30分钟)
- 可靠性: Webhook幂等性 + 轮询补充机制
 2026-01-02 14:30:38 +08:00
HaHafeng
dac3cecf78 feat(iit): Complete IIT Manager Agent Day 1 - Environment initialization and WeChat integration 
Summary:
- Complete IIT Manager Agent MVP Day 1 (12.5% progress)
- Database: Create iit_schema with 5 tables (IitProject, IitPendingAction, IitTaskRun, IitUserMapping, IitAuditLog)
- Backend: Add module structure (577 lines) and types (223 lines)
- WeChat: Configure Enterprise WeChat app (CorpID, AgentID, Secret)
- WeChat: Obtain web authorization and JS-SDK authorization
- WeChat: Configure trusted domain (iit.xunzhengyixue.com)
- Frontend: Deploy v1.2 with WeChat domain verification file
- Frontend: Fix CRLF issue in docker-entrypoint.sh (CRLF -> LF)
- Testing: 11/11 database CRUD tests passed
- Testing: Access Token retrieval test passed
- Docs: Create module status and development guide
- Docs: Update MVP task list with Day 1 completion
- Docs: Rename deployment doc to SAE real-time status record
- Deployment: Update frontend internal IP to 172.17.173.80

Technical Details:
- Prisma: Multi-schema support (iit_schema)
- pg-boss: Job queue integration prepared
- Taro 4.x: Framework selected for WeChat Mini Program
- Shadow State: Architecture foundation laid
- Docker: Fix entrypoint script line endings for Linux container

Status: Day 1/14 complete, ready for Day 2 REDCap integration
 2026-01-01 14:32:58 +08:00
HaHafeng
4c5bb3d174 feat(iit): Initialize IIT Manager Agent MVP - Day 1 complete 
- Add iit_schema with 5 tables
- Create module structure and types (223 lines)
- WeChat integration verified (Access Token success)
- Update system docs to v2.4
- Add REDCap source folders to .gitignore
- Day 1/14 complete (11/11 tasks)
 2025-12-31 18:35:05 +08:00
HaHafeng
decff0bb1f docs(deploy): Complete full system deployment to Aliyun SAE 
Summary:
- Successfully deployed complete system to Aliyun SAE (2025-12-25)
- All services running: Python microservice + Node.js backend + Frontend Nginx + CLB
- Public access available at http://8.140.53.236/

Major Achievements:
1. Python microservice deployed (v1.0, internal IP: 172.17.173.66:8000)
2. Node.js backend deployed (v1.3, internal IP: 172.17.173.73:3001)
   - Fixed 4 critical issues: bash path, config directory, pino-pretty, ES Module
3. Frontend Nginx deployed (v1.0, internal IP: 172.17.173.72:80)
4. CLB load balancer configured (public IP: 8.140.53.236)

New Documentation (9 docs):
- 11-Node.js backend SAE deployment config checklist (21 env vars)
- 12-Node.js backend SAE deployment operation manual
- 13-Node.js backend image fix record (config directory)
- 14-Node.js backend pino-pretty fix
- 15-Node.js backend deployment success summary
- 16-Frontend Nginx deployment success summary
- 17-Complete deployment practical manual 2025 edition (1800 lines)
- 18-Deployment documentation usage guide
- 19-Daily update quick operation manual (670 lines)

Key Fixes:
- Environment variable name correction: EXTRACTION_SERVICE_URL (not PYTHON_SERVICE_URL)
- Dockerfile fix: added COPY config ./config
- Logger configuration: conditional pino-pretty for dev only
- Health check fix: ES Module compatibility (require -> import)

Updated Files:
- System status document updated with full deployment info
- Deployment progress overview updated with latest IPs
- All 3 Docker services' Dockerfiles and configs refined

Verification:
- All health checks passed
- Tool C 7 features working correctly
- Literature screening module functional
- Response time < 1 second

BREAKING CHANGE: Node.js backend internal IP changed from 172.17.173.71 to 172.17.173.73

Closes #deployment-milestone
 2025-12-25 21:24:37 +08:00
HaHafeng
691dc2bc98 docs(deploy): Update deployment documentation for Node.js backend 
Summary:
- Created Node.js backend Docker image build guide
- Updated deployment progress overview with backend status
- Updated system status documentation

Backend build achievements:
- Fixed 200+ TypeScript compilation errors (200+ to 0)
- Completed Prisma reverse sync (32 models from RDS)
- Manually added 30+ Prisma relation fields
- Successfully built Docker image (838MB)
- Pushed image to ACR (v1.0 + latest tags)

Documentation updates:
- Added 10-Node.js后端-Docker镜像构建手册.md
- Updated 00-部署进度总览.md with backend deployment status
- Updated 00-系统当前状态与开发指南.md with latest progress
- Fixed date format (2024 -> 2025)

Next steps:
- Deploy Node.js backend to SAE
- Configure environment variables
- Test end-to-end functionality

Status: Backend Docker image ready for SAE deployment
 2025-12-25 08:21:21 +08:00
HaHafeng
ef967d7d7c build(backend): Complete Node.js backend deployment preparation 
Major changes:
- Add Docker configuration (Dockerfile, .dockerignore)
- Fix 200+ TypeScript compilation errors
- Add Prisma schema relations for all models (30+ relations)
- Update tsconfig.json to relax non-critical checks
- Optimize Docker build with local dist strategy

Technical details:
- Exclude test files from TypeScript compilation
- Add manual relations for ASL, PKB, DC, AIA modules
- Use type assertions for JSON/Buffer compatibility
- Fix pg-boss, extractionWorker, and other legacy code issues

Build result:
- Docker image: 838MB (compressed ~186MB)
- Successfully pushed to ACR
- Zero TypeScript compilation errors

Related docs:
- Update deployment documentation
- Add Python microservice SAE deployment guide
 2025-12-24 22:12:00 +08:00
HaHafeng
b64896a307 feat(deploy): Complete PostgreSQL migration and Docker image build 
Summary:
- PostgreSQL database migration to RDS completed (90MB SQL, 11 schemas)
- Frontend Nginx Docker image built and pushed to ACR (v1.0, ~50MB)
- Python microservice Docker image built and pushed to ACR (v1.0, 1.12GB)
- Created 3 deployment documentation files

Docker Configuration Files:
- frontend-v2/Dockerfile: Multi-stage build with nginx:alpine
- frontend-v2/.dockerignore: Optimize build context
- frontend-v2/nginx.conf: SPA routing and API proxy
- frontend-v2/docker-entrypoint.sh: Dynamic env injection
- extraction_service/Dockerfile: Multi-stage build with Aliyun Debian mirror
- extraction_service/.dockerignore: Optimize build context
- extraction_service/requirements-prod.txt: Production dependencies (removed Nougat)

Deployment Documentation:
- docs/05-部署文档/00-部署进度总览.md: One-stop deployment status overview
- docs/05-部署文档/07-前端Nginx-SAE部署操作手册.md: Frontend deployment guide
- docs/05-部署文档/08-PostgreSQL数据库部署操作手册.md: Database deployment guide
- docs/00-系统总体设计/00-系统当前状态与开发指南.md: Updated with deployment status

Database Migration:
- RDS instance: pgm-2zex1m2y3r23hdn5 (2C4G, PostgreSQL 15.0)
- Database: ai_clinical_research
- Schemas: 11 business schemas migrated successfully
- Data: 3 users, 2 projects, 1204 literatures verified
- Backup: rds_init_20251224_154529.sql (90MB)

Docker Images:
- Frontend: crpi-cd5ij4pjt65mweeo.cn-beijing.personal.cr.aliyuncs.com/ai-clinical/ai-clinical_frontend-nginx:v1.0
- Python: crpi-cd5ij4pjt65mweeo.cn-beijing.personal.cr.aliyuncs.com/ai-clinical/python-extraction:v1.0

Key Achievements:
- Resolved Docker Hub network issues (using generic tags)
- Fixed 30 TypeScript compilation errors
- Removed Nougat OCR to reduce image size by 1.5GB
- Used Aliyun Debian mirror to resolve apt-get network issues
- Implemented multi-stage builds for optimization

Next Steps:
- Deploy Python microservice to SAE
- Build Node.js backend Docker image
- Deploy Node.js backend to SAE
- Deploy frontend Nginx to SAE
- End-to-end verification testing

Status: Docker images ready, SAE deployment pending
 2025-12-24 18:21:55 +08:00
HaHafeng
4c6eaaecbf feat(dc): Implement Postgres-Only async architecture and performance optimization 
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
HaHafeng
9b81aef9a7 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
 2025-12-21 15:06:15 +08:00
HaHafeng
19f9c5ea93 docs(deployment): Fix 8 critical deployment issues and enhance documentation 
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
HaHafeng
fa72beea6c feat(platform): Complete Postgres-Only architecture refactoring (Phase 1-7) 
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
HaHafeng
4b41344d78 chore: add backend/uploads/ to gitignore and remove test data from git tracking 
- Added backend/uploads/ to .gitignore
- Removed 171 test files from Git tracking (--cached, local files preserved)
  - Tool B: ~20 test files
  - Tool C: ~150 test files
- Local files are safe and not deleted
- This prevents future commits from tracking uploaded user files
 2025-12-10 18:12:00 +08:00
HaHafeng
200eab5c2e feat(dc-tool-c): Tool C UX重大改进 - 列头筛选/行号/滚动条/全量数据 
新功能
- 列头筛选：Excel风格筛选功能（Community版本，中文本地化，显示唯一值及计数）
- 行号列：添加固定行号列（#列头，灰色背景，左侧固定）
- 全量数据加载：不再限制50行预览，Session加载全量数据
- 全量数据返回：所有快速操作（筛选/映射/分箱/条件/删NA/计算/Pivot）全量返回结果

 Bug修复
- 滚动条终极修复：修改MainLayout为固定高度（h-screen + overflow-hidden），整个浏览器窗口无滚动条，只有AG Grid内部滚动
- 计算列全角字符修复：自动转换中文括号等全角字符为半角
- 计算列特殊字符列名修复：完善列别名机制，支持任意特殊字符列名

 UI优化
- 删除'表格仅展示前50行'提示条，减少干扰
- 筛选对话框美化：白色背景，圆角，阴影
- 列头筛选图标优化：清晰可见，易于点击

 文档更新
- 工具C_功能按钮开发计划_V1.0.md：添加V1.5版本记录
- 工具C_MVP开发_TODO清单.md：添加Day 8 UX优化内容
- 00-工具C当前状态与开发指南.md：更新进度为98%
- 00-模块当前状态与开发指南.md：更新DC模块状态
- 00-系统当前状态与开发指南.md：更新系统整体状态

 影响范围
- Python微服务：无修改
- Node.js后端：5处代码修改（SessionService + QuickActionController + AICodeService）
- 前端：MainLayout + DataGrid + ag-grid-custom.css + index.tsx
- 完成度：Tool C整体完成度提升至98%

 代码统计
- 修改文件：~15个文件
- 新增行数：~200行
- 修改行数：~150行

Co-authored-by: AI Assistant <assistant@example.com>
 2025-12-10 18:02:42 +08:00
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
HaHafeng
f4f1d09837 feat(dc/tool-c): Add pivot column ordering and NA handling features 
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
HaHafeng
75ceeb0653 hotfix(dc/tool-c): Fix compute formula validation and binning NaN serialization 
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