50657dd81f
fix(auth): enforce single-session with DB tokenVersion + heartbeat detection
...
Move single-session invalidation from cache-based token version checks to a database-backed, atomic tokenVersion flow to eliminate concurrent login race conditions. Add a global auth heartbeat (visibility-aware) so kicked sessions are detected within ~10s when the page is visible.
Made-with: Cursor
2026-03-09 13:11:37 +08:00
ac724266c1
feat(ssa): SSA Agent mode MVP - prompt management + Phase 5A guardrails + UX enhancements
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Backend:
- Agent core prompts (Planner + Coder) now loaded from PromptService with 3-tier fallback (DB -> cache -> hardcoded)
- Seed script (seed-ssa-agent-prompts.ts) for idempotent SSA_AGENT_PLANNER + SSA_AGENT_CODER setup
- SSA fallback prompts added to prompt.fallbacks.ts
- Phase 5A: XML tag extraction, defensive programming prompt, high-fidelity schema injection, AST pre-check
- Default agent mode migration + session CRUD (rename/delete) APIs
- R Docker: structured error handling (20+ patterns) + AST syntax pre-check
Frontend:
- Default agent mode (QPER toggle removed), view code fix, analysis result cards in chat
- Session history sidebar with inline rename/delete, robust plan parsing from reviewResult
- R code export wrapper for local reproducibility (package checks + data loader + polyfills)
- SSA workspace CSS updates for sidebar actions and plan display
Docs:
- SSA module doc v4.2: Prompt inventory (2 Agent active / 11 QPER archived), dev progress updated
- System overview doc v6.8: SSA Agent MVP milestone
- Deployment checklist: DB-5 (seed script) + BE-10 (prompt management)
Made-with: Cursor
2026-03-08 15:23:09 +08:00
87655ea7e6
feat(rvw,asl): RVW V3.0 smart review + ASL deep research history + stability
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RVW module (V3.0 Smart Review Enhancement):
- Add LLM data validation via PromptService (RVW_DATA_VALIDATION)
- Add ClinicalAssessmentSkill with FINER-based evaluation (RVW_CLINICAL)
- Remove all numeric scores from UI (editorial, methodology, overall)
- Implement partial_completed status with Promise.allSettled
- Add error_details JSON field to ReviewTask for granular failure info
- Fix overallStatus logic: warning status now counts as success
- Restructure ForensicsReport: per-table LLM results, remove top-level block
- Refactor ClinicalReport: structured collapsible sections
- Increase all skill timeouts to 300s for long manuscripts (20+ pages)
- Increase DataForensics LLM timeout to 180s, pg-boss to 15min
- Executor default fallback timeout 30s -> 60s
ASL module:
- Add deep research history with sidebar accordion UI
- Implement waterfall flow for historical task display
- Upgrade Unifuncs DeepSearch API from S2 to S3 with fallback
- Add ASL_SR module seed for admin configurability
- Fix new search button inconsistency
Docs:
- Update RVW module status to V3.0
- Update deployment changelist
- Add 0305 deployment summary
DB Migration:
- Add error_details JSONB column to rvw_schema.review_tasks
Tested: All 4 review modules verified, partial completion working
Made-with: Cursor
2026-03-07 19:24:21 +08:00
aadceb5cde
feat(ssa): Implement dual-channel architecture Phase 1-3 (QPER + LLM Agent pipeline)
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Completed:
- Phase 1: DB schema (execution_mode + ssa_agent_executions), ModeToggle component, Session PATCH API
- Phase 2: AgentPlannerService + AgentCoderService (streaming) + CodeRunnerService + R Docker /execute-code endpoint
- Phase 3: AgentCodePanel (3-step confirmation UI), SSE event handling (7 agent events), streaming code display
- Three-step confirmation pipeline: plan -> user confirm -> stream code -> user confirm -> execute R code -> results
- R Docker sandbox /execute-code endpoint with 120s timeout + block_helpers preloaded
- E2E dual-channel test script (8 tests)
- Updated R engine architecture doc (v1.5) and SSA module status doc (v4.0)
Technical details:
- AgentCoderService uses LLM streaming (chatStream) for real-time code generation feedback
- ReviewerAgent temporarily disabled, prioritizing Plan -> Code -> Execute flow
- CodeRunnerService wraps user code with auto data loading (df variable injection)
- Frontend handles agent_planning, agent_plan_ready, code_generating, code_generated, code_executing, code_result events
- ask_user mechanism used for plan and code confirmation steps
Files: 24 files (4 new services, 2 new components, 1 migration, 1 E2E test, 16 modified)
Made-with: Cursor
2026-03-02 22:23:54 +08:00
2030ebe28f
feat(iit): Complete V3.1 QC engine + GCP business reports + AI timeline + bug fixes
...
V3.1 QC Engine:
- QcExecutor unified entry + D1-D7 dimension engines + three-level aggregation
- HealthScoreEngine + CompletenessEngine + ProtocolDeviationEngine + QcAggregator
- B4 flexible cron scheduling (project-level cronExpression + pg-boss dispatcher)
- Prisma migrations for qc_field_status, event_status, project_stats
GCP Business Reports (Phase A - 4 reports):
- D1 Eligibility: record_summary full list + qc_field_status D1 overlay
- D2 Completeness: data entry rate and missing rate aggregation
- D3/D4 Query Tracking: severity distribution from qc_field_status
- D6 Protocol Deviation: D6 dimension filtering
- 4 frontend table components + ReportsPage 5-tab restructure
AI Timeline Enhancement:
- SkillRunner outputs totalRules (33 actual rules vs 1 skill)
- iitQcCockpitController severity mapping fix (critical->red, warning->yellow)
- AiStreamPage expandable issue detail table with Chinese labels
- Event label localization (eventLabel from backend)
Business-side One-click Batch QC:
- DashboardPage batch QC button with SyncOutlined icon
- Auto-refresh QcReport cache after batch execution
Bug Fixes:
- dimension_code -> rule_category in 4 SQL queries
- D1 eligibility data source: record_summary full + qc_field_status overlay
- Timezone UTC -> Asia/Shanghai (QcReportService toBeijingTime helper)
- Pass rate calculation: passed/totalEvents instead of passed/totalRecords
Docs:
- Update IIT module status with GCP reports and bug fix milestones
- Update system status doc v6.6 with IIT progress
Tested: Backend compiles, frontend linter clean, batch QC verified
Made-with: Cursor
2026-03-01 22:49:49 +08:00
0b29fe88b5
feat(iit): QC deep fix + V3.1 architecture plan + project member management
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QC System Deep Fix:
- HardRuleEngine: add null tolerance + field availability pre-check (skipped status)
- SkillRunner: baseline data merge for follow-up events + field availability check
- QcReportService: record-level pass rate calculation + accurate LLM XML report
- iitBatchController: legacy log cleanup (eventId=null) + upsert RecordSummary
- seed-iit-qc-rules: null/empty string tolerance + applicableEvents config
V3.1 Architecture Design (docs only, no code changes):
- QC engine V3.1 plan: 5-level data structure (CDISC ODM) + D1-D7 dimensions
- Three-batch implementation strategy (A: foundation, B: bubbling, C: new engines)
- Architecture team review: 4 whitepapers reviewed + feedback doc + 4 critical suggestions
- CRA Agent strategy roadmap + CRA 4-tool explanation doc for clinical experts
Project Member Management:
- Cross-tenant member search and assignment (remove tenant restriction)
- IIT project detail page enhancement with tabbed layout (KB + members)
- IitProjectContext for business-side project selection
- System-KB route access control adjustment for project operators
Frontend:
- AdminLayout sidebar menu restructure
- IitLayout with project context provider
- IitMemberManagePage new component
- Business-side pages adapt to project context
Prisma:
- 2 new migrations (user-project RBAC + is_demo flag)
- Schema updates for project member management
Made-with: Cursor
2026-03-01 15:27:05 +08:00
6124c7abc6
docs(platform): Add database documentation system and restructure deployment docs
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Completed:
- Add 6 core database documents (docs/01-平台基础层/07-数据库/)
Architecture overview, migration history, environment comparison,
tech debt tracking, seed data management, PostgreSQL extensions
- Restructure deployment docs: archive 20 legacy files to _archive-2025/
- Create unified daily operations manual (01-日常更新操作手册.md)
- Add pending deployment change tracker (03-待部署变更清单.md)
- Update database development standard to v3.0 (three iron rules)
- Fix Prisma schema type drift: align @db.* annotations with actual DB
IIT: UUID/Timestamptz(6), SSA: Timestamp(6)/VarChar(20/50/100)
- Add migration: 20260227_align_schema_with_db_types (idempotent ALTER)
- Add Cursor Rule for auto-reminding deployment change documentation
- Update system status guide v6.4 with deployment and DB doc references
- Add architecture consultation docs (Prisma guide, SAE deployment guide)
Technical details:
- Manual migration due to shadow DB limitation (TD-001 in tech debt)
- Deployment docs reduced from 20+ scattered files to 3 core documents
- Cursor Rule triggers on schema.prisma, package.json, Dockerfile changes
Made-with: Cursor
2026-02-27 14:35:25 +08:00
203846968c
feat(iit): Complete CRA Agent V3.0 P0 milestone - autonomous QC pipeline
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P0-1: Variable list sync from REDCap metadata
P0-2: QC rule configuration with JSON Logic + AI suggestion
P0-3: Scheduled QC + report generation + eQuery closed loop
P0-4: Unified dashboard + AI stream timeline + critical events
Backend:
- Add IitEquery, IitCriticalEvent Prisma models + migration
- Add cronEnabled/cronExpression to IitProject
- Implement eQuery service/controller/routes (CRUD + respond/review/close)
- Implement DailyQcOrchestrator (report -> eQuery -> critical events -> notify)
- Add AI rule suggestion service
- Register daily QC cron worker and eQuery auto-review worker
- Extend QC cockpit with timeline, trend, critical events APIs
- Fix timeline issues field compat (object vs array format)
Frontend:
- Create IIT business module with 6 pages (Dashboard, AI Stream, eQuery,
Reports, Variable List + project config pages)
- Migrate IIT config from admin panel to business module
- Implement health score, risk heatmap, trend chart, critical event alerts
- Register IIT module in App router and top navigation
Testing:
- Add E2E API test script covering 7 modules (46 assertions, all passing)
Tested: E2E API tests 46/46 passed, backend and frontend verified
Made-with: Cursor
2026-02-26 13:28:08 +08:00
f0736dbca1
feat(asl/extraction): Complete Tool 3 M1+M2 - skeleton pipeline and HITL workbench
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M1 Skeleton Pipeline:
- Scatter-dispatch + Aggregator polling pattern (PgBoss)
- PKB ACL bridge (PkbBridgeService -> PkbExportService DTOs)
- ExtractionSingleWorker with DeepSeek-V3 LLM extraction
- PermanentExtractionError for non-retryable failures
- Phantom Retry Guard (idempotent worker)
- 3-step minimal frontend (Setup -> Progress -> Workbench)
- 4 new DB tables (extraction_templates, project_templates, tasks, results)
- 3 system templates seed (RCT, Cohort, QC)
- M1 integration test suite
M2 HITL Workbench:
- MinerU VLM integration for high-fidelity table extraction
- XML-isolated DynamicPromptBuilder with flat JSON output template
- fuzzyQuoteMatch validator (3-tier confidence scoring)
- SSE real-time logging via ExtractionEventBus
- Schema-driven ExtractionDrawer (dynamic field rendering from template)
- Excel wide-table export with flattenModuleData normalization
- M2 integration test suite
Critical Fixes (data normalization):
- DynamicPromptBuilder: explicit flat key-value output format with example
- ExtractionExcelExporter: handle both array and flat data formats
- ExtractionDrawer: schema-driven rendering instead of hardcoded fields
- ExtractionValidator: array-format quote verification support
- SSE route: Fastify register encapsulation to bypass auth for EventSource
- LLM JSON sanitizer: strip illegal control chars before JSON.parse
Also includes: RVW stats verification spec, SSA expert config guide
Tested: M1 pipeline test + M2 HITL test + manual frontend verification
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-25 18:29:20 +08:00
8f06d4f929
feat(asl): Complete Deep Research V2.0 core development
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Backend:
- Add SSE streaming client (unifuncsSseClient) replacing async polling
- Add paragraph-based reasoning parser with mergeConsecutiveThinking
- Add requirement expansion service (DeepSeek-V3 PICOS+MeSH)
- Add Word export service with Pandoc, inline hyperlinks, reference link expansion
- Add deep research V2 worker with 2s log flush and Chinese source prompt
- Add 5 curated data sources config (PubMed/ClinicalTrials/Cochrane/CNKI/MedJournals)
- Add 4 API endpoints (generate-requirement/tasks/task-status/export-word)
- Update Prisma schema with 6 new V2.0 fields on AslResearchTask
- Add DB migration for V2.0 fields
- Simplify ASL_DEEP_RESEARCH_EXPANSION prompt (remove strategy section)
Frontend:
- Add waterfall-flow DeepResearchPage (phase 0-4 progressive reveal)
- Add LandingView, SetupPanel, StrategyConfirm, AgentTerminal, ResultsView
- Add react-markdown + remark-gfm for report rendering
- Add custom link component showing visible URLs after references
- Add useDeepResearchTask polling hook
- Add deep research TypeScript types
Tests:
- Add E2E test, smoke test, and Chinese data source test scripts
Docs:
- Update ASL module status (v2.0 - core features complete)
- Update system status (v6.1 - ASL V2.0 milestone)
- Update Unifuncs DeepSearch API guide (v2.0 - SSE mode + Chinese source results)
- Update module auth specification (test script guidelines)
- Update V2.0 development plan
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-23 13:21:52 +08:00
428a22adf2
feat(ssa): Complete Phase 2A frontend integration - multi-step workflow end-to-end
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Phase 2A: WorkflowPlannerService, WorkflowExecutorService, Python data quality, 6 bug fixes, DescriptiveResultView, multi-step R code/Word export, MVP UI reuse. V11 UI: Gemini-style, multi-task, single-page scroll, Word export. Architecture: Block-based rendering consensus (4 block types). New R tools: chi_square, correlation, descriptive, logistic_binary, mann_whitney, t_test_paired. Docs: dev summary, block-based plan, status updates, task list v2.0.
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-20 23:09:27 +08:00
49b5c37cb1
feat(ssa): Complete T-test end-to-end testing with 9 bug fixes - Phase 1 core 85% complete. R service: missing value auto-filter. Backend: error handling, variable matching, dynamic filename. Frontend: module activation, session isolation, error propagation. Full flow verified.
...
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-19 20:57:00 +08:00
7a299e8562
feat(iit): Implement event-level QC architecture V3.1 with dynamic rule filtering, report deduplication and AI intent enhancement
...
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-08 21:22:11 +08:00
5db4a7064c
feat(iit): Implement real-time quality control system
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Summary:
- Add 4 new database tables: iit_field_metadata, iit_qc_logs, iit_record_summary, iit_qc_project_stats
- Implement pg-boss debounce mechanism in WebhookController
- Refactor QC Worker for dual output: QC logs + record summary
- Enhance HardRuleEngine to support form-based rule filtering
- Create QcService for QC data queries
- Optimize ChatService with new intents: query_enrollment, query_qc_status
- Add admin batch operations: one-click full QC + one-click full summary
- Create IIT Admin management module: project config, QC rules, user mapping
Status: Code complete, pending end-to-end testing
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-07 21:56:11 +08:00
0d9e6b9922
feat(admin): Implement System Knowledge Base management module
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Features:
- Backend: SystemKbService with full CRUD (knowledge bases + documents)
- Backend: 8 RESTful API endpoints (list/detail/create/update/delete/upload/download)
- Backend: OSS storage integration (system/knowledge-bases/{kbId}/{docId})
- Backend: RAG engine integration (document parsing, chunking, vectorization)
- Frontend: SystemKbListPage with card-based layout
- Frontend: SystemKbDetailPage with document management table
- Frontend: Master-Detail UX pattern for better user experience
- Document upload (single/batch), download (preserving original filename), delete
Technical:
- Database migration for system_knowledge_bases and system_kb_documents tables
- OSSAdapter.getSignedUrl with Content-Disposition for original filename
- Reuse RAG engine from common/rag for document processing
Tested: Local environment verified, all features working
2026-01-28 21:57:44 +08:00
01a17f1e6f
feat(admin): Implement operational monitoring MVP and login optimization
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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
96290d2f76
feat(aia): Implement Protocol Agent MVP with reusable Agent framework
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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
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
40c2f8e148
feat(rag): Complete RAG engine implementation with pgvector
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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
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
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
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
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
6ae0dc8304
chore(rvw): Migrate review_tasks table to rvw_schema
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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
440f75255e
feat(rvw): Complete Phase 4-5 - Bug fixes and Word export
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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
179afa2c6b
feat(rvw): Complete RVW module development Phase 1-3
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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
4c5bb3d174
feat(iit): Initialize IIT Manager Agent MVP - Day 1 complete
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- 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
ef967d7d7c
build(backend): Complete Node.js backend deployment preparation
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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
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
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
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
f01981bf78
feat(dc/tool-c): 完成AI代码生成服务（Day 3 MVP）
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核心功能：
- 新增AICodeService（550行）：AI代码生成核心服务
- 新增AIController（257行）：4个API端点
- 新增dc_tool_c_ai_history表：存储对话历史
- 实现自我修正机制：最多3次智能重试
- 集成LLMFactory：复用通用能力层
- 10个Few-shot示例：覆盖Level 1-4场景
技术优化：
- 修复NaN序列化问题（Python端转None）
- 修复数据传递问题（从Session获取真实数据）
- 优化System Prompt（明确环境信息）
- 调整Few-shot示例（移除import语句）
测试结果：
- 通过率：9/11（81.8%） 达到MVP标准
- 成功场景：缺失值处理、编码、分箱、BMI、筛选、填补、统计、分类
- 待优化：数值清洗、智能去重（已记录技术债务TD-C-006）
API端点：
- POST /api/v1/dc/tool-c/ai/generate（生成代码）
- POST /api/v1/dc/tool-c/ai/execute（执行代码）
- POST /api/v1/dc/tool-c/ai/process（生成并执行，一步到位）
- GET /api/v1/dc/tool-c/ai/history/:sessionId（对话历史）
文档更新：
- 新增Day 3开发完成总结（770行）
- 新增复杂场景优化技术债务（TD-C-006）
- 更新工具C当前状态文档
- 更新技术债务清单
影响范围：
- backend/src/modules/dc/tool-c/*（新增2个文件，更新1个文件）
- backend/scripts/create-tool-c-ai-history-table.mjs（新增）
- backend/prisma/schema.prisma（新增DcToolCAiHistory模型）
- extraction_service/services/dc_executor.py（NaN序列化修复）
- docs/03-业务模块/DC-数据清洗整理/*（5份文档更新）
Breaking Changes: 无
总代码行数：+950行
Refs: #Tool-C-Day3
2025-12-07 16:21:32 +08:00
2348234013
feat(dc/tool-c): Day 2 - Session管理与数据处理完成
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核心功能:
- 数据库: 创建dc_tool_c_sessions表 (12字段, 3索引)
- 服务层: SessionService (383行), DataProcessService (303行)
- 控制器: SessionController (300行, 6个API端点)
- 路由: 新增6个Session管理路由
- 测试: 7个API测试全部通过 (100%)
技术亮点:
- 零落盘架构: Excel内存解析, OSS存储
- Session管理: 10分钟过期, 心跳延长机制
- 云原生规范: storage/logger/prisma全平台复用
- 完整测试: 上传/预览/完整数据/删除/心跳
文件清单:
- backend/prisma/schema.prisma (新增DcToolCSession模型)
- backend/prisma/migrations/create_tool_c_session.sql
- backend/scripts/create-tool-c-table.mjs
- backend/src/modules/dc/tool-c/services/ (SessionService, DataProcessService)
- backend/src/modules/dc/tool-c/controllers/SessionController.ts
- backend/src/modules/dc/tool-c/routes/index.ts
- backend/test-tool-c-day2.mjs
- docs/03-业务模块/DC-数据清洗整理/00-工具C当前状态与开发指南.md
- docs/03-业务模块/DC-数据清洗整理/06-开发记录/2025-12-06_工具C_Day2开发完成总结.md
代码统计: ~1900行
测试结果: 7/7 通过 (100%)
云原生规范: 完全符合
2025-12-06 22:12:47 +08:00
d4d33528c7
feat(dc): Complete Phase 1 - Portal workbench page development
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Summary:
- Implement DC module Portal page with 3 tool cards
- Create ToolCard component with decorative background and hover animations
- Implement TaskList component with table layout and progress bars
- Implement AssetLibrary component with tab switching and file cards
- Complete database verification (4 tables confirmed)
- Complete backend API verification (6 endpoints ready)
- Optimize UI to match prototype design (V2.html)
Frontend Components (~715 lines):
- components/ToolCard.tsx - Tool cards with animations
- components/TaskList.tsx - Recent tasks table view
- components/AssetLibrary.tsx - Data asset library with tabs
- hooks/useRecentTasks.ts - Task state management
- hooks/useAssets.ts - Asset state management
- pages/Portal.tsx - Main portal page
- types/portal.ts - TypeScript type definitions
Backend Verification:
- Backend API: 1495 lines code verified
- Database: dc_schema with 4 tables verified
- API endpoints: 6 endpoints tested (templates API works)
Documentation:
- Database verification report
- Backend API test report
- Phase 1 completion summary
- UI optimization report
- Development task checklist
- Development plan for Tool B
Status: Phase 1 completed (100%), ready for browser testing
Next: Phase 2 - Tool B Step 1 and 2 development
2025-12-02 21:53:24 +08:00
88cc049fb3
feat(asl): Complete Day 5 - Fulltext Screening Backend API Development
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- Implement 5 core API endpoints (create task, get progress, get results, update decision, export Excel)
- Add FulltextScreeningController with Zod validation (652 lines)
- Implement ExcelExporter service with 4-sheet report generation (352 lines)
- Register routes under /api/v1/asl/fulltext-screening
- Create 31 REST Client test cases
- Add automated integration test script
- Fix PDF extraction fallback mechanism in LLM12FieldsService
- Update API design documentation to v3.0
- Update development plan to v1.2
- Create Day 5 development record
- Clean up temporary test files
2025-11-23 10:52:07 +08:00
3634933ece
refactor(asl): ASL frontend architecture refactoring with left navigation
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- feat: Create ASLLayout component with 7-module left navigation
- feat: Implement Title Screening Settings page with optimized PICOS layout
- feat: Add placeholder pages for Workbench and Results
- fix: Fix nested routing structure for React Router v6
- fix: Resolve Spin component warning in MainLayout
- fix: Add QueryClientProvider to App.tsx
- style: Optimize PICOS form layout (P+I left, C+O+S right)
- style: Align Inclusion/Exclusion criteria side-by-side
- docs: Add architecture refactoring and routing fix reports
Ref: Week 2 Frontend Development
Scope: ASL module MVP - Title Abstract Screening
2025-11-18 21:51:51 +08:00
0c5310fb77
refactor(backend): incremental architecture evolution (Task 19)
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- Add common/ layer for shared capabilities (LLM, RAG, document, middleware)
- Add legacy/ layer for existing business code
- Move files to new structure (controllers, routes, services)
- Update index.ts for new route registration
- System remains fully functional
2025-11-16 15:42:44 +08:00
AI Clinical Dev Team
348af7fee9
feat: add general chat feature (without project/agent concept)
2025-10-12 09:48:49 +08:00
AI Clinical Dev Team
8afff23995
docs: Day 12-13 completion summary and milestone update
2025-10-10 20:33:18 +08:00
AI Clinical Dev Team
b72167f73e
feat: Day 8-9 - Project Management API completed
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Backend:
- Create project routes (GET, POST, PUT, DELETE)
- Implement projectController with CRUD operations
- Create projectService for database operations
- Add validation middleware for request validation
- Update Prisma schema (add background, researchType, deletedAt fields)
- Implement soft delete for projects
Frontend:
- Create projectApi service module
- Update useProjectStore with fetchProjects and loading state
- Connect ProjectSelector to real API with loading indicator
- Connect CreateProjectDialog to real API with error handling
- Connect EditProjectDialog to real API with loading state
- Add comprehensive error handling and user feedback
Build: Both frontend and backend build successfully
2025-10-10 19:38:49 +08:00
AI Clinical Dev Team
39e14cfb97
feat(backend): Day 5 - backend basic architecture setup completed
2025-10-10 15:56:45 +08:00
