c3f7d54fdf
feat(platform): Implement legacy system integration with Wrapper Bridge architecture
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Complete integration of the old clinical research platform (www.xunzhengyixue.com)
into the new AI platform via Token injection + iframe embedding:
Backend:
- Add legacy-bridge module (MySQL pool, auth service, routes)
- POST /api/v1/legacy/auth: JWT -> phone lookup -> Token injection into old MySQL
- Auto-create user in old system if not found (matched by phone number)
Frontend:
- LegacySystemPage: iframe container with Bridge URL construction
- ResearchManagement + StatisticalTools entry components
- Module registry updated from external links to iframe embed mode
ECS (token-bridge.html deployed to www.xunzhengyixue.com):
- Wrapper Bridge: sets cookies within same-origin context
- Storage Access API for cross-site dev environments
- CSS injection: hide old system nav/footer, remove padding gaps
- Inner iframe loads target page with full DOM access (same-origin)
Key technical decisions:
- Token injection (direct MySQL write) instead of calling login API
- Wrapper Bridge instead of parent-page cookie setting (cross-origin fix)
- Storage Access API + SameSite=None;Secure for third-party cookie handling
- User isolation guaranteed by phone number matching
Documentation:
- Integration plan v4.0 with full implementation record
- Implementation summary with 6 pitfalls documented
- System status guide updated (ST module now integrated)
Tested: Local E2E verified - auto login, research management, 126 statistical
tools, report generation, download, UI layout all working correctly
Made-with: Cursor
2026-02-27 21:54:38 +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
9b8490b4d0
docs(iit): Update module status with frontend architecture changes
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Changes:
- Add frontend architecture adjustment milestone (admin/business side split)
- Document product positioning: ops team configures, end users use QC platform
- Add new completed feature section for routing/navigation changes
- Update current status to reflect Web AI Chat and admin IIT project management
Made-with: Cursor
2026-02-26 22:12:49 +08:00
205932bb3f
feat(asl): Complete Tool 4 SR Chart Generator and Tool 5 Meta Analysis Engine
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Tool 4 - SR Chart Generator:
- PRISMA 2020 flow diagram with Chinese/English toggle (SVG)
- Baseline characteristics table (Table 1)
- Dual data source: project pipeline API + Excel upload
- SVG/PNG export support
- Backend: ChartingService with Prisma aggregation
- Frontend: PrismaFlowDiagram, BaselineTable, DataSourceSelector
Tool 5 - Meta Analysis Engine:
- 3 data types: HR (metagen), dichotomous (metabin), continuous (metacont)
- Random and fixed effects models
- Multiple effect measures: HR / OR / RR
- Forest plot + funnel plot (base64 PNG from R)
- Heterogeneity statistics: I2, Q, p-value, Tau2
- Data input via Excel upload or project pipeline
- R Docker image updated with meta package (13 tools total)
- E2E test: 36/36 passed
- Key fix: exp() back-transformation for log-scale ratio measures
Also includes:
- IIT CRA Agent V3.0 routing and AI chat page integration
- Updated ASL module status guide (v2.3)
- Updated system status guide (v6.3)
- Updated R statistics engine guide (v1.4)
Tested: Frontend renders correctly, backend APIs functional, E2E tests passed
Made-with: Cursor
2026-02-26 21:51:02 +08:00
7c3cc12b2e
feat(iit): Complete CRA Agent V3.0 P1 - ChatOrchestrator with LLM Function Calling
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P1 Architecture: Lightweight ReAct (Function Calling loop, max 3 rounds)
Core changes:
- Add ToolDefinition/ToolCall types to LLM adapters (DeepSeek + CloseAI + Claude)
- Replace 6 old tools with 4 semantic tools: read_report, look_up_data, check_quality, search_knowledge
- Create ChatOrchestrator (~160 lines) replacing ChatService (1,442 lines)
- Wire WechatCallbackController to ChatOrchestrator, deprecate ChatService
- Fix nullable content (string | null) across 12+ LLM consumer files
E2E test results: 8/8 scenarios passed (100%)
- QC report query, critical issues, patient data, trend, on-demand QC
- Knowledge base search, project overview, data modification refusal
Net code reduction: ~1,100 lines
Tested: E2E P1 chat test 8/8 passed with DeepSeek API
Made-with: Cursor
2026-02-26 14:27:09 +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
31b0433195
docs(iit): Add CRA Agent V3.0 development plan and update module status guide
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V3.0 Plan:
- Finalize CRA Agent V3.0 development plan (replace CRA positioning)
- Add unified CRA QC platform PRD
- Add HTML UI prototype (dashboard, AI stream, eQuery, reports)
- Architecture: report-driven + LLM Tool Use + 4 semantic tools
Module Status Update:
- Update architecture from dual-brain V2.9.1 to V3.0 Tool Use
- Update DB schema inventory (5 tables -> 18 tables)
- Update code stats (577 lines -> 15,000+ lines / 61 files)
- Update next steps to V3.0 P0 roadmap
- Archive old phase plans (ReAct engine, IntentService)
- Add V3.0 document references (plan, PRD, prototype)
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-25 22:04:00 +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
371fa53956
docs(asl): Upgrade Tool 3 architecture from Fan-out to Scatter+Aggregator (v2.0)
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Architecture transformation:
- Replace Fan-out (Manager->Child->Last Child Wins) with Scatter+Aggregator pattern
- API layer directly dispatches N independent jobs (no Manager)
- Worker only writes its own Result row, never touches Task table (zero row-lock)
- Aggregator polls groupBy for completion + zombie cleanup (replaces Sweeper)
- Reduce red lines from 13 to 9, eliminate distributed complexity
Documents updated (10 files):
- 08-Tool3 main architecture doc: v2.0 rewrite (schema, Task 2.3/2.4, red lines, risks)
- 08d-Code patterns: rewrite sections 4.1-4.6 (API dispatch, SingleWorker, Aggregator)
- 08a-M1 sprint: rewrite M1-3 core (Worker+Aggregator), red lines, acceptance criteria
- 08b-M2 sprint: simplify SSE (NOTIFY/LISTEN downgraded to P2 optional)
- 08c-M3 sprint: milestone table wording update
- New: Scatter+Polling Aggregator pattern guide v1.1 (Level 2 cookbook)
- New: V2.0 architecture deep review and gap-fix report
- Updated: ASL module status, system status, capability layer index
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-24 22:11:09 +08:00
85fda830c2
feat(ssa): Complete Phase V-A editable analysis plan variables
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Features:
- Add editable variable selection in workflow plan (SingleVarSelect + MultiVarTags)
- Implement 3-layer flexible interception (warning bar + icon + blocking dialog)
- Add tool_param_constraints.json for 12 statistical tools parameter validation
- Add PATCH /workflow/:id/params API with Zod structural validation
- Implement synchronous parameter sync before execution (Promise chaining)
- Fix LLM hallucination by strict system prompt constraints
- Fix DynamicReport object-based rows compatibility (R baseline_table)
- Fix Word export row.map error with same normalization logic
- Restore inferGroupingVar for smart default variable selection
- Add ReactMarkdown rendering in SSAChatPane
- Update SSA module status document to v3.5
Modified files:
- backend: workflow.routes, ChatHandlerService, SystemPromptService, FlowTemplateService
- frontend: WorkflowTimeline, SSAWorkspacePane, DynamicReport, SSAChatPane, ssaStore, ssa.css
- config: tool_param_constraints.json (new)
- docs: SSA status doc, team review reports
Tested: Cohort study end-to-end execution + report export verified
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-24 13:08:29 +08:00
dc6b292308
docs(asl): Complete Tool 3 extraction workbench V2.0 development plan (v1.5)
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ASL Tool 3 Development Plan:
- Architecture blueprint v1.5 (6 rounds of architecture review, 13 red lines)
- M1/M2/M3 sprint checklists (Skeleton Pipeline / HITL Workbench / Dynamic Template Engine)
- Code patterns cookbook (9 chapters: Fan-out, Prompt engineering, ACL, SSE dual-track, etc.)
- Key patterns: Fan-out with Last Child Wins, Optimistic Locking, teamConcurrency throttling
- PKB ACL integration (anti-corruption layer), MinerU Cache-Aside, NOTIFY/LISTEN cross-pod SSE
- Data consistency snapshot for long-running extraction tasks
Platform capability:
- Add distributed Fan-out task pattern development guide (7 patterns + 10 anti-patterns)
- Add system-level async architecture risk analysis blueprint
- Add PDF table extraction engine design and usage guide (MinerU integration)
- Add table extraction source code (TableExtractionManager + MinerU engine)
Documentation updates:
- Update ASL module status with Tool 3 V2.0 plan readiness
- Update system status document (v6.2) with latest milestones
- Add V2.0 product requirements, prototypes, and data dictionary specs
- Add architecture review documents (4 rounds of review feedback)
- Add test PDF files for extraction validation
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-23 22:49:16 +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
b06daecacd
feat(asl): Add Deep Research V2.0 development plan and Unifuncs API site coverage testing
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Completed:
- Unifuncs DeepSearch API site coverage test (18 medical sites, 9 tier-1 available)
- ClinicalTrials.gov dedicated test (4 strategies, English query + depth>=10 works best)
- Deep Research V2.0 development plan (5-day phased delivery)
- DeepResearch engine capability guide (docs/02-common-capability/)
- Test scripts: test-unifuncs-site-coverage.ts, test-unifuncs-clinicaltrials.ts
Key findings:
- Tier-1 sites: PubMed(28), ClinicalTrials(38), NCBI(18), Scholar(10), Cochrane(4), CNKI(7), SinoMed(9), GeenMedical(5), VIP(1)
- Paid databases (WoS/Embase/Scopus/Ovid) cannot be accessed (no credential support)
- ClinicalTrials.gov requires English queries with max_depth>=10
Updated: ASL module status doc, system status doc, common capability list
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-22 22:44:41 +08:00
3446909ff7
feat(ssa): Complete Phase I-IV intelligent dialogue and tool system development
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Phase I - Session Blackboard + READ Layer:
- SessionBlackboardService with Postgres-Only cache
- DataProfileService for data overview generation
- PicoInferenceService for LLM-driven PICO extraction
- Frontend DataContextCard and VariableDictionaryPanel
- E2E tests: 31/31 passed
Phase II - Conversation Layer LLM + Intent Router:
- ConversationService with SSE streaming
- IntentRouterService (rule-first + LLM fallback, 6 intents)
- SystemPromptService with 6-segment dynamic assembly
- TokenTruncationService for context management
- ChatHandlerService as unified chat entry
- Frontend SSAChatPane and useSSAChat hook
- E2E tests: 38/38 passed
Phase III - Method Consultation + AskUser Standardization:
- ToolRegistryService with Repository Pattern
- MethodConsultService with DecisionTable + LLM enhancement
- AskUserService with global interrupt handling
- Frontend AskUserCard component
- E2E tests: 13/13 passed
Phase IV - Dialogue-Driven Analysis + QPER Integration:
- ToolOrchestratorService (plan/execute/report)
- analysis_plan SSE event for WorkflowPlan transmission
- Dual-channel confirmation (ask_user card + workspace button)
- PICO as optional hint for LLM parsing
- E2E tests: 25/25 passed
R Statistics Service:
- 5 new R tools: anova_one, baseline_table, fisher, linear_reg, wilcoxon
- Enhanced guardrails and block helpers
- Comprehensive test suite (run_all_tools_test.js)
Documentation:
- Updated system status document (v5.9)
- Updated SSA module status and development plan (v1.8)
Total E2E: 107/107 passed (Phase I: 31, Phase II: 38, Phase III: 13, Phase IV: 25)
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-22 18:53:39 +08:00
bf10dec4c8
docs(ssa): Complete intelligent dialogue and tool system architecture design
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Architecture Design:
- Add intent recognition and dialogue architecture design (Intent Router + DataContext)
- Add tool system planning (4-layer 7-tool fusion solution: READ/INTERACT/THINK/ACT)
- Add 4-layer 7-tool implementation mechanism details (Conversation Layer LLM + Node.js orchestration)
Development Plan (v1.2):
- Create 6-phase development plan (134h/22 days) for intelligent dialogue system
- Add 8 architectural constraints (C1-C8): no Function Calling, Postgres-Only cache,
streaming output, context guard, Zod dynamic validation
- Correct Session Blackboard to use CacheFactory (Postgres-Only, no Redis)
Status Updates:
- Update SSA module status: QPER complete + dialogue architecture design complete
- Update system-level status: add SSA architecture design milestone
Other:
- R tools minor fixes (chi_square, correlation, logistic_binary, mann_whitney, t_test_paired)
- Frontend AIA chat workspace style adjustment
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-22 10:05:14 +08:00
11676f2840
fix(ssa): Fix 7 integration bugs and refactor frontend unified state management
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Bug fixes:
- Fix garbled error messages in chat (TypeWriter rendering issue)
- Fix R engine NA crash in descriptive.R (defensive isTRUE/is.na checks)
- Fix intent misclassification for statistical significance queries
- Fix step 2 results not displayed (accept warning status alongside success)
- Fix incomplete R code download (only step 1 included)
- Fix multi-task state confusion (clicking old card shows new results)
- Add R engine and backend parameter logging for debugging
Refactor - Unified Record Architecture:
- Replace 12 global singleton fields with AnalysisRecord as single source of truth
- Remove isWorkflowMode branching across all components
- One Analysis = One Record = N Steps paradigm
- selectRecord only sets currentRecordId, all rendering derives from currentRecord
- Fix cross-hook-instance issue: executeWorkflow fallback to store currentRecordId
Updated files: ssaStore, useWorkflow, useAnalysis, SSAChatPane, SSAWorkspacePane,
SSACodeModal, WorkflowTimeline, QueryService, WorkflowExecutorService, descriptive.R
Tested: Manual integration test passed - multi-task switching, R code completeness
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-21 22:58:59 +08:00
371e1c069c
feat(ssa): Complete QPER architecture - Query, Planner, Execute, Reflection layers
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Implement the full QPER intelligent analysis pipeline:
- Phase E+: Block-based standardization for all 7 R tools, DynamicReport renderer, Word export enhancement
- Phase Q: LLM intent parsing with dynamic Zod validation against real column names, ClarificationCard component, DataProfile is_id_like tagging
- Phase P: ConfigLoader with Zod schema validation and hot-reload API, DecisionTableService (4-dimension matching), FlowTemplateService with EPV protection, PlannedTrace audit output
- Phase R: ReflectionService with statistical slot injection, sensitivity analysis conflict rules, ConclusionReport with section reveal animation, conclusion caching API, graceful R error classification
End-to-end test: 40/40 passed across two complete analysis scenarios.
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-21 18:15:53 +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
23b422f758
docs(ssa): Add SSA-Pro vision design - ideal intelligent statistical analysis system with 5 core capabilities
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Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-20 15:10:12 +08:00
a792b2e4be
docs(ssa): Update task list - Phase 1 progress 96%, add V11 UI tasks and daily standup 2026-02-20
...
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-20 14:51:06 +08:00
8d496d1515
feat(ssa): Complete V11 UI development and frontend-backend integration - Pixel-perfect V11 UI, multi-task support, Word export, input overlay fix, code cleanup. MVP Phase 1 core 95% complete.
...
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-20 14:46:45 +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
8137e3cde2
feat(ssa): Complete SSA-Pro MVP development plan v1.3
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Summary:
- Add PRD and architecture design V4 (Brain-Hand model)
- Complete 5 development guide documents
- Pass 3 rounds of team review (v1.0 -> v1.3)
- Add module status guide document
- Update system status document
Key Features:
- Brain-Hand architecture: Node.js + R Docker
- Statistical guardrails with auto degradation
- HITL workflow: PlanCard -> ExecutionTrace -> ResultCard
- Mixed data protocol: inline vs OSS
- Reproducible R code delivery
MVP Scope: 10 statistical tools
Status: Design 100%, ready for development
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-18 21:58:37 +08:00
f9ed0c2528
feat(rvw): Complete V2.0 Week 3 - Statistical validation extension and UX improvements
...
Week 3 Development Summary:
- Implement negative sign normalization (6 Unicode variants)
- Enhance T-test validation with smart sample size extraction
- Enhance SE triangle and CI-P consistency validation with subrow support
- Add precise sub-cell highlighting for P-values in multi-line cells
- Add frontend issue type Chinese translations (6 new types)
- Add file format tips for PDF/DOC uploads
Technical improvements:
- Add _clean_statistical_text() in extractor.py
- Add _safe_float() wrapper in validator.py
- Add ForensicsReport.tsx component
- Update ISSUE_TYPE_LABELS translations
Documentation:
- Add 2026-02-18 development record
- Update RVW module status (v5.1)
- Update system status (v5.2)
Status: Week 3 complete, ready for Week 4 testing
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-18 18:26:16 +08:00
9f256c4a02
feat(rvw): implement Skills architecture (Day 7-10)
...
- Add Skills core framework (types, registry, executor, profile, context)
- Implement DataForensicsSkill with DI, path security, graceful degradation
- Implement EditorialSkill and MethodologySkill wrapping existing services
- Extend ExtractionClient with IExtractionClient interface and analyzeDocx
- Refactor reviewWorker to support V1/V2 architecture switching
- Add Zod config validation and generic type support
- Update development docs and module status
Day 7: Skills core framework (~700 lines)
Day 8: DataForensicsSkill + ExtractionClient extension (~400 lines)
Day 9: EditorialSkill + MethodologySkill (~350 lines)
Day 10: ReviewWorker integration (~280 lines)
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-18 10:09:40 +08:00
e785969e54
feat(rvw): Implement RVW V2.0 Data Forensics Module - Day 6 StatValidator
...
Summary:
- Implement L2 Statistical Validator (CI-P consistency, T-test reverse)
- Implement L2.5 Consistency Forensics (SE Triangle, SD>Mean check)
- Add error/warning severity classification with tolerance thresholds
- Support 5+ CI formats parsing (parentheses, brackets, 95% CI prefix)
- Complete Python forensics service (types, config, validator, extractor)
V2.0 Development Progress (Week 2 Day 6):
- Day 1-5: Python service setup, Word table extraction, L1 arithmetic validator
- Day 6: L2 StatValidator + L2.5 consistency forensics (promoted from V2.1)
Test Results:
- Unit tests: 4/4 passed (CI-P, SE Triangle, SD>Mean, T-test)
- Real document tests: 5/5 successful, 2 reasonable WARNINGs
Status: Day 6 completed, ready for Day 7 (Skills Framework)
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-17 22:15:27 +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
45c7b32dbb
docs(iit): Add QC system UI and LLM format optimization plan
...
- Add development plan: 07-QC system UI and LLM format optimization
- Phase 1: PromptBuilder + XML clinical slice format (~5.5h)
- Phase 2: QC cockpit + stat cards + risk heatmap (~9.5h)
- Phase 3: Variable tagging system (~5h)
- Add CRA Agent design document and prototype
- Update module status: design 100%, code 45%
- Update system status: real-time QC complete + plan ready
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-08 09:59:44 +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
0c590854b5
docs(iit): Add IIT Manager Agent V2.9 development plan with multi-agent architecture
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Features:
- Add V2.9 enhancements: Cron Skill, User Profiling, Feedback Loop, Multi-Intent Handling
- Create modular development plan documents (database, engines, services, memory, tasks)
- Add V2.5/V2.6/V2.8/V2.9 design documents for architecture evolution
- Add system design white papers and implementation guides
Architecture:
- Dual-Brain Architecture (SOP + ReAct engines)
- Three-layer memory system (Flow Log, Hot Memory, History Book)
- ProfilerService for personalized responses
- SchedulerService with Cron Skill support
Also includes:
- Frontend nginx config updates
- Backend test scripts for WeChat signature
- Database backup files
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-05 22:33:26 +08:00
4b9b90ffb8
feat(iit): Complete REDCap production deployment on Alibaba Cloud ECS
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Summary:
- Deploy REDCap 15.8.0 on ECS with Docker CE 26.1.3
- Configure RDS MySQL 8.0 database (redcap_prod)
- Setup Nginx reverse proxy with HTTPS/SSL
- Domain configured: https://redcap.xunzhengyixue.com/
Documentation:
- Add ECS deployment guide
- Add deployment info record
- Update system status document (v4.5 -> v4.6)
Status: REDCap production environment fully operational
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-02 22:27:05 +08:00
4c2c9b437b
feat(admin): Add activity logs page and fix AI chat markdown rendering
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- Add paginated activity logs API with filters (date, module, action, keyword)
- Add ActivityLogsPage with table, filters, and detail modal
- Add markdown rendering support for AI chat messages
- Remove prototype placeholder content from chat sidebar
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-01 21:04:21 +08:00
aaa29ea9d3
feat(admin): Implement Prompt knowledge base integration
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Features:
- PromptService enhancement: enhanceWithKnowledge(), loadFullKnowledge(), ragSearch()
- FULL mode: Load entire knowledge base content
- RAG mode: Vector search based on user query
- Knowledge config API: PUT /:code/knowledge-config
- Test render with knowledge injection support
- Frontend: Knowledge config UI in Prompt editor
Bug fixes:
- Fix knowledge config not returned in getPromptDetail
- Fix publish button 400 error (empty request body)
- Fix cache not invalidated after publish
- Add detailed logging for debugging
Documentation:
- Add development record 2026-01-28
- Update ADMIN module status to Phase 4.6
- Update system status document to v4.5
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-01 20:26:20 +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
3a4aa9123c
feat: Add Personal Center module and UI improvements
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- Add ProfilePage with avatar upload, password change, and module status display
- Update logo and favicon for login page and browser tab
- Redirect Data Cleaning module default route to Tool C
- Hide Settings button from top navigation for MVP
- Add avatar display in top navigation bar with refresh sync
- Add Prompt knowledge base integration development plan docs
2026-01-28 18:18:09 +08:00
5d5a174dd7
fix(frontend): Add client_max_body_size to fix 413 error on file upload
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Problem: PKB document upload fails with HTTP 413 in SAE environment
Root cause: Nginx default client_max_body_size is only 1MB
Solution: Add client_max_body_size 50M in http block and location /api/ block
2026-01-27 21:23:59 +08:00
bbf98c4d5c
fix(backend): Resolve PgBoss infinite loop issue and cleanup unused files
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Backend fixes:
- Fix PgBoss task infinite loop on SAE (root cause: missing queue table constraints)
- Add singletonKey to prevent duplicate job enqueueing
- Add idempotency check in reviewWorker (skip completed tasks)
- Add optimistic locking in reviewService (atomic status update)
Frontend fixes:
- Add isSubmitting state to prevent duplicate submissions in RVW Dashboard
- Fix API baseURL in knowledgeBaseApi (relative path)
Cleanup (removed):
- Old frontend/ directory (migrated to frontend-v2)
- python-microservice/ (unused, replaced by extraction_service)
- Root package.json and node_modules (accidentally created)
- redcap-docker-dev/ (external dependency)
- Various temporary files and outdated docs in root
New documentation:
- docs/07-运维文档/01-PgBoss队列监控与维护.md
- docs/07-运维文档/02-故障预防检查清单.md
- docs/07-运维文档/03-数据库迁移注意事项.md
Database fix applied to RDS:
- Added PRIMARY KEY to platform_schema.queue
- Added 3 missing foreign key constraints
Tested: Local build passed, RDS constraints verified
2026-01-27 18:16:22 +08:00
2481b786d8
deploy: Complete 0126-27 deployment - database upgrade, services update, code recovery
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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
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
303dd78c54
feat(aia): Protocol Agent MVP complete with one-click generation and Word export
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- 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
4d7d97ca19
feat(aia): Protocol Agent streaming + editable state panel + protocol generation plan
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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
596f2dfc02
docs: Update RAG engine docs - pg_bigm v1.2 installation completed
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Summary:
- pg_bigm v1.2 successfully installed in PostgreSQL 15
- GIN index created for ekb_chunk.content
- Keyword search performance improved 10-100x
Documentation updates:
- RAG engine guide v1.0 -> v1.1 (update Q3, add performance data)
- System status guide v4.1 -> v4.2 (mark pg_bigm as installed)
- pg_bigm installation guide v1.0 -> v1.1 (mark as completed)
Status: Production ready with full RAG capabilities
2026-01-24 19:17:24 +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
61cdc97eeb
feat(platform): Fix pg-boss queue conflict and add safety standards
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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
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
483c62fb6f
feat(pkb): Replace Dify with self-developed pgvector RAG engine
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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
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
1f5bf2cd65
docs(rag-engine): update architecture design with building-blocks principle
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- Add core design principle: provide building blocks, no strategy selection
- Remove chat() method, strategy determined by business modules
- Add new capabilities: getDocumentFullText(), getAllDocumentsText()
- Add new capabilities: getDocumentSummary(), getAllDocumentsSummaries()
- Add business module strategy examples (PKB/AIA/ASL/RVW)
- Add strategy selection guide (by scale, by scenario)
- Update data model with summary and tokenCount fields
- Add SummaryService to code structure
2026-01-20 20:35:26 +08:00
74a209317e
chore: Remove backup files from Git and update .gitignore
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Removed from tracking:
- backup_before_pgvector_20260119.sql (database backup)
- postgres_volume_backup_20260119.tar (volume backup)
- pgvector-0.8.0.tar.gz (source archive)
Added to .gitignore:
- Database backup files (*.sql backups, *_backup_*.tar)
- Source code archives (*.tar.gz)
- Excluded Prisma migrations from .sql ignore rule
2026-01-20 00:04:12 +08:00
dfc0fe0b9a
feat(pkb): Integrate pgvector and create Dify replacement plan
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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
