83e395824b
feat(rvw): complete journal config center MVP and tenant login routing
...
Deliver the RVW V4.0 journal configuration center across backend, frontend, migration, and docs with zh/en editorial baseline support and tenant-level prompt/template overrides. Unify tenant login to /:tenantCode/login and auto-enable RVW module when tenant type is JOURNAL to prevent post-login access gaps.
Made-with: Cursor
2026-03-15 11:51:35 +08:00
16179e16ca
feat(rvw): deliver tenant portal v4 flow and config foundation
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Implement RVW V4.0 tenant-aware backend/frontend flow with tenant routing, config APIs, and full portal UX updates. Sync system/RVW/deployment docs to capture verified upload-review-report workflow and next-step admin configuration work.
Made-with: Cursor
2026-03-14 22:29:40 +08:00
6edfad032f
feat(ssa): finalize strict stepwise agent execution flow
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Align Agent mode to strict stepwise generation and execution, add deterministic and safety hardening, and sync deployment/module documentation for Phase 5A.5/5B/5C rollout.
- implement strict stepwise execution path and dependency short-circuiting
- persist step-level errors/results and stream step_* progress events
- add agent plan params patch route and schema/migration support
- improve R sanitizer/security checks and step result rendering in workspace
- update SSA module guide and deployment change checklist
Made-with: Cursor
2026-03-11 22:49:05 +08:00
097e7920ab
feat(admin): add user-level direct permission system and enhance activity tracking
...
Features:
- Add user_permissions table for direct user-to-permission grants (ops:user-ops)
- Merge role_permissions + user_permissions in auth chain (login, middleware, getCurrentUser)
- Add getUserQueryScope support for USER role with ops:user-ops (cross-tenant access)
- Unify cross-tenant operation checks via getUserQueryScope (remove hardcoded SUPER_ADMIN checks)
- Add 3 new API endpoints: GET/PUT /:id/permissions, GET /options/permissions
- Support ops:user-ops as alternative permission on all user/tenant management routes
- Frontend: add user-ops permission toggle on UserFormPage and UserDetailPage
- Enhance DC module activity tracking (StreamAIController, SessionController, QuickActionController)
- Fix DC AIController user ID extraction and feature name consistency
- Add verify-activity-tracking.ts validation script
- Update deployment checklist and admin module documentation
DB Migration: 20260309_add_user_permissions_table
Made-with: Cursor
2026-03-10 09:02:35 +08:00
971e903acf
chore(deploy): finalize 0309 SAE rollout updates
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Sync deployment documentation to the final successful SAE state and clear pending deployment checklist items. Include backend/frontend/R hardening and diagnostics improvements required for stable production behavior.
Made-with: Cursor
2026-03-09 22:27:11 +08:00
5c5fec52c1
fix(aia,ssa,asl,infra): harden SSE transport and stabilize attachment context
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Deliver SSE protocol hardening for SAE/HTTP2 paths, add graceful shutdown health behavior, and improve SSA retry UX for transient stream failures. For AIA, persist attachment extraction results in database with cache read-through fallback, plus production cache safety guard to prevent memory-cache drift in multi-instance deployments; also restore ASL SR page scrolling behavior.
Made-with: Cursor
2026-03-09 18:45:12 +08:00
50657dd81f
fix(auth): enforce single-session with DB tokenVersion + heartbeat detection
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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
a666649fd4
feat(iit): harden QC pipeline consistency and release artifacts
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Implement IIT quality workflow hardening across eQuery deduplication, guard metadata validation, timeline/readability improvements, and chat evidence fallbacks, then synchronize release and development documentation for deployment handoff.
Includes migration/scripts for open eQuery dedupe guards, orchestration/status semantics, report/tool readability fixes, and updated module status plus deployment checklist.
Made-with: Cursor
2026-03-08 21:54:35 +08:00
ac724266c1
feat(ssa): SSA Agent mode MVP - prompt management + Phase 5A guardrails + UX enhancements
...
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
...
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)
...
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
71d32d11ee
feat(iit): V3.2 data consistency + project isolation + admin config redesign + Chinese labels
...
Summary:
- Refactor timeline API to read from qc_field_status (SSOT) instead of qc_logs
- Add field-issues paginated API with severity/dimension/recordId filters
- Add LEFT JOIN field_metadata + qc_event_status for Chinese display names
- Implement per-project ChatOrchestrator cache and SessionMemory isolation
- Redesign admin IIT config tabs (REDCap -> Fields -> KB -> Rules -> Members)
- Add AI-powered QC rule generation (D3 programmatic + D1/D5/D6 LLM-based)
- Add clickable warning/critical detail Modal in ReportsPage
- Auto-dispatch eQuery after batch QC via DailyQcOrchestrator
- Update module status documentation to v3.2
Backend changes:
- iitQcCockpitController: rewrite getTimeline from qc_field_status, add getFieldIssues
- iitQcCockpitRoutes: add field-issues route
- ChatOrchestrator: per-projectId cached instances
- SessionMemory: keyed by userId::projectId
- WechatCallbackController: resolve projectId from iitUserMapping
- iitRuleSuggestionService: dimension-based suggest + generateD3Rules
- iitBatchController: call DailyQcOrchestrator after batch QC
Frontend changes:
- AiStreamPage: adapt to new timeline structure with dimension tags
- ReportsPage: clickable stats cards with issue detail Modal
- IitProjectDetailPage: reorder tabs, add AI rule generation UI
- iitProjectApi: add TimelineIssue, FieldIssueItem types and APIs
Status: TypeScript compilation verified, no new lint errors
Made-with: Cursor
2026-03-02 14:29:59 +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
...
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
...
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
...
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
...
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
...
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
...
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
...
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
2481b786d8
deploy: Complete 0126-27 deployment - database upgrade, services update, code recovery
...
Major Changes:
- Database: Install pg_bigm/pgvector plugins, create test database
- Python service: v1.0 -> v1.1, add pymupdf4llm/openpyxl/pypandoc
- Node.js backend: v1.3 -> v1.7, fix pino-pretty and ES Module imports
- Frontend: v1.2 -> v1.3, skip TypeScript check for deployment
- Code recovery: Restore empty files from local backup
Technical Fixes:
- Fix pino-pretty error in production (conditional loading)
- Fix ES Module import paths (add .js extensions)
- Fix OSSAdapter TypeScript errors
- Update Prisma Schema (63 models, 16 schemas)
- Update environment variables (DATABASE_URL, EXTRACTION_SERVICE_URL, OSS)
- Remove deprecated variables (REDIS_URL, DIFY_API_URL, DIFY_API_KEY)
Documentation:
- Create 0126 deployment folder with 8 documents
- Update database development standards v2.0
- Update SAE deployment status records
Deployment Status:
- PostgreSQL: ai_clinical_research_test with plugins
- Python: v1.1 @ 172.17.173.84:8000
- Backend: v1.7 @ 172.17.173.89:3001
- Frontend: v1.3 @ 172.17.173.90:80
Tested: All services running successfully on SAE
2026-01-27 08:13:27 +08:00
01a17f1e6f
feat(admin): Implement operational monitoring MVP and login optimization
...
Summary:
- Add SimpleLog table for activity tracking (admin_schema)
- Implement ActivityService with fire-and-forget pattern
- Add stats API endpoints (overview/live-feed/user-overview/cleanup)
- Complete activity logging for 7 modules (SYSTEM/AIA/PKB/ASL/DC/RVW/IIT)
- Update Admin Dashboard with DAU/DAT metrics and live feed
- Fix user module permission display logic
- Fix login redirect to /ai-qa instead of homepage
- Replace top navigation LOGO with brand image
- Fix PKB workspace layout CSS conflict (rename to .pa-chat-container)
New files:
- backend/src/common/services/activity.service.ts
- backend/src/modules/admin/controllers/statsController.ts
- backend/src/modules/admin/routes/statsRoutes.ts
- frontend-v2/src/modules/admin/api/statsApi.ts
- docs/03-.../04-operational-monitoring-mvp-plan.md
- docs/03-.../04-operational-monitoring-mvp-implementation.md
Tested: All features verified locally
2026-01-25 22:16:16 +08:00
303dd78c54
feat(aia): Protocol Agent MVP complete with one-click generation and Word export
...
- Add one-click research protocol generation with streaming output
- Implement Word document export via Pandoc integration
- Add dynamic dual-panel layout with resizable split pane
- Implement collapsible content for StatePanel stages
- Add conversation history management with title auto-update
- Fix scroll behavior, markdown rendering, and UI layout issues
- Simplify conversation creation logic for reliability
2026-01-25 19:16:36 +08:00
4d7d97ca19
feat(aia): Protocol Agent streaming + editable state panel + protocol generation plan
...
Day 2 Development (2026-01-24):
Backend Enhancements:
- Implement SSE streaming in ProtocolAgentController using createStreamingService
- Add data condensation via LLM in ProtocolOrchestrator.handleProtocolSync
- Support stage editing without resetting progress
- Add explicit JSON output format for each stage in system prompt
- Create independent seed script for Protocol Agent (seed-protocol-agent.ts)
Frontend Improvements:
- Integrate useAIStream hook for typewriter effect in ChatArea
- Add MarkdownContent component for basic Markdown rendering
- Implement StageEditModal for editing stage data (scientific question, PICO, etc.)
- Add edit button to StageCard (visible on hover)
- Fix routing paths from /aia to /ai-qa
- Enhance CSS with full-screen layout and Markdown styles
New Documentation:
- One-click protocol generation development plan (v1.1)
- Editor selection evaluation (Novel vs BlockNote vs Tiptap)
- Novel fork strategy for AI-native editing
Technical Decisions:
- Choose Novel (Fork) as protocol editor for AI-first design
- Two-stage progressive generation: summary in chat, full protocol in editor
- 10-day development plan for protocol generation feature
Code Stats:
- Backend: 3 files modified, 1 new file
- Frontend: 9 files modified, 2 new files
- Docs: 3 new files
Status: Streaming and editable features working, protocol generation pending
2026-01-24 23:06:33 +08:00
96290d2f76
feat(aia): Implement Protocol Agent MVP with reusable Agent framework
...
Sprint 1-3 Completed (Backend + Frontend):
Backend (Sprint 1-2):
- Implement 5-layer Agent framework (Query->Planner->Executor->Tools->Reflection)
- Create agent_schema with 6 tables (agent_definitions, stages, prompts, sessions, traces, reflexion_rules)
- Create protocol_schema with 2 tables (protocol_contexts, protocol_generations)
- Implement Protocol Agent core services (Orchestrator, ContextService, PromptBuilder)
- Integrate LLM service adapter (DeepSeek/Qwen/GPT-5/Claude)
- 6 API endpoints with full authentication
- 10/10 API tests passed
Frontend (Sprint 3):
- Add Protocol Agent entry in AgentHub (indigo theme card)
- Implement ProtocolAgentPage with 3-column layout
- Collapsible sidebar (Gemini style, 48px <-> 280px)
- StatePanel with 5 stage cards (scientific_question, pico, study_design, sample_size, endpoints)
- ChatArea with sync button and action cards integration
- 100% prototype design restoration (608 lines CSS)
- Detailed endpoints structure: baseline, exposure, outcomes, confounders
Features:
- 5-stage dialogue flow for research protocol design
- Conversation-driven interaction with sync-to-protocol button
- Real-time context state management
- One-click protocol generation button (UI ready, backend pending)
Database:
- agent_schema: 6 tables for reusable Agent framework
- protocol_schema: 2 tables for Protocol Agent
- Seed data: 1 agent + 5 stages + 9 prompts + 4 reflexion rules
Code Stats:
- Backend: 13 files, 4338 lines
- Frontend: 14 files, 2071 lines
- Total: 27 files, 6409 lines
Status: MVP core functionality completed, pending frontend-backend integration testing
Next: Sprint 4 - One-click protocol generation + Word export
2026-01-24 17:29:24 +08:00
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
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
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
1ece9a4ae8
feat(asl): Add DeepSearch smart literature retrieval MVP
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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
57fdc6ef00
feat(aia): Integrate PromptService for 10 AI agents
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Features:
- Migrate 10 agent prompts from hardcoded to database
- Add grayscale preview support (DRAFT/ACTIVE distribution)
- Implement 3-tier fallback (DB -> Cache -> Hardcoded)
- Add version management and rollback capability
Files changed:
- backend/scripts/migrate-aia-prompts.ts (new migration script)
- backend/src/common/prompt/prompt.fallbacks.ts (add AIA fallbacks)
- backend/src/modules/aia/services/agentService.ts (integrate PromptService)
- backend/src/modules/aia/services/conversationService.ts (pass userId)
- backend/src/modules/aia/types/index.ts (fix AgentStage type)
Documentation:
- docs/03-业务模块/AIA-AI智能问答/06-开发记录/2026-01-18-Prompt管理系统集成.md
- docs/02-通用能力层/00-通用能力层清单.md (add FileCard, Prompt management)
- docs/00-系统总体设计/00-系统当前状态与开发指南.md (update to v3.6)
Prompt codes:
- AIA_SCIENTIFIC_QUESTION, AIA_PICO_ANALYSIS, AIA_TOPIC_EVALUATION
- AIA_OUTCOME_DESIGN, AIA_CRF_DESIGN, AIA_SAMPLE_SIZE
- AIA_PROTOCOL_WRITING, AIA_METHODOLOGY_REVIEW
- AIA_PAPER_POLISH, AIA_PAPER_TRANSLATE
Tested: Migration script executed, all 10 prompts inserted successfully
2026-01-18 15:48:53 +08:00
66255368b7
feat(admin): Add user management and upgrade to module permission system
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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
98d862dbd4
feat(aia): Complete AIA V2.0 and sync all changes
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AIA V2.0 Major Updates:
- Add StreamingService with OpenAI Compatible format (backend/common/streaming)
- Upgrade Chat component V2 with Ant Design X deep integration
- Implement 12 intelligent agents (5 phases: topic/design/review/data/writing)
- Create AgentHub with 100% prototype V11 restoration
- Create ChatWorkspace with fullscreen immersive experience
- Add ThinkingBlock for deep thinking display
- Add useAIStream Hook for stream handling
- Add ConversationList for conversation management
Backend (~1300 lines):
- common/streaming: OpenAI adapter and streaming service
- modules/aia: 12 agents config, conversation service, attachment service
- Unified API routes to /api/v1 (RVW, PKB, AIA modules)
- Update authentication and permission helpers
Frontend (~3500 lines):
- modules/aia: AgentHub + ChatWorkspace + AgentCard components
- shared/Chat: AIStreamChat, ThinkingBlock, useAIStream, useConversations
- Update all modules API endpoints to v1
- Modern design with theme colors (blue/yellow/teal/purple)
Documentation (~2500 lines):
- AIA module status and development guide
- Universal capabilities catalog (11 services)
- Quick reference card
- System overview updates
- All module documentation synchronization
Other Updates:
- DC Tool C: Python operations and frontend components
- IIT Manager: session memory and wechat service
- PKB/RVW/ASL: API route updates
- Docker configs and deployment scripts
- Database migrations and scripts
- Test files and documentation
Tested: AIA streaming verified, authentication working, core features functional
Status: AIA V2.0 completed (85%), all changes synchronized
2026-01-14 19:19:00 +08:00
4ed67a8846
fix(admin): Fix Prompt management list not showing version info and add debug diagnostics
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Summary:
- Fix Prompt list API response schema missing activeVersion and draftVersion fields
- Fastify was filtering out undefined schema fields, causing version columns to show empty
- Add detailed diagnostic logging for Prompt debug mode troubleshooting
- Verify debug mode works correctly (DRAFT version is used when debug enabled)
Changes:
- backend/src/common/prompt/prompt.routes.ts: Add activeVersion and draftVersion to response schema
- backend/src/common/prompt/prompt.service.ts: Add diagnostic logs for setDebugMode and get methods
- PKB module: Various authentication and document handling fixes from previous session
Tested: Debug mode verified working - v2 DRAFT version correctly loaded when debug enabled
2026-01-13 22:22:10 +08:00
4088275290
fix(pkb): fix create KB and upload issues - remove simulated upload, fix department mapping, add upload modal
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Fixed issues:
- Remove simulateUpload function from DashboardPage Step 3
- Map department to description field when creating KB
- Add upload modal in WorkspacePage knowledge assets tab
- Fix DocumentUpload import path (../../stores to ../stores)
Known issue: Dify API validation error during document upload (file uploaded but DB record failed, needs investigation)
Testing: KB creation works, upload dialog opens correctly
2026-01-13 13:17:20 +08:00
d595037316
feat(admin): Complete tenant management and module access control system
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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%)
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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
06028c6952
feat(pkb): implement complete batch processing workflow and frontend optimization
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- Frontend V3 architecture migration to modules/pkb
- Implement three work modes: full-text reading, deep reading, batch processing
- Complete batch processing: template selection, progress display, result export (CSV)
- Integrate Ant Design X Chat component with streaming support
- Add document upload modal with drag-and-drop support
- Optimize UI: multi-line table display, citation formatting, auto-scroll
- Fix 10+ technical issues: API mapping, state sync, form clearing
- Update documentation: development records and module status
Performance: 3 docs batch processing ~17-28s
Status: PKB module now production-ready (90% complete)
2026-01-07 18:23:43 +08:00
e59676342a
docs(pkb): Add development records and update system status
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Summary:
- Add PKB module development record for 2026-01-07
- Create PKB module status document (00-模块当前状态与开发指南.md)
- Update system status document to v2.7
Documents added:
- docs/03-业务模块/PKB-个人知识库/06-开发记录/2026-01-07_PKB模块前端V3设计实现.md
- docs/03-业务模块/PKB-个人知识库/00-模块当前状态与开发指南.md
Documents updated:
- docs/00-系统总体设计/00-系统当前状态与开发指南.md
PKB module progress: 75% complete
- Frontend Dashboard: 90%
- Frontend Workspace: 85%
- 3 work modes implemented
- Batch processing API pending debug
2026-01-07 10:35:03 +08:00
5a17d096a7
feat(pkb): Complete PKB module frontend migration with V3 design
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Summary:
- Implement PKB Dashboard and Workspace pages based on V3 prototype
- Add single-layer header with integrated Tab navigation
- Implement 3 work modes: Full Text, Deep Read, Batch Processing
- Integrate Ant Design X Chat component for AI conversations
- Create BatchModeComplete with template selection and document processing
- Add compact work mode selector with dropdown design
Backend:
- Migrate PKB controllers and services to /modules/pkb structure
- Register v2 API routes at /api/v2/pkb/knowledge
- Maintain dual API routes for backward compatibility
Technical details:
- Use Zustand for state management
- Handle SSE streaming responses for AI chat
- Support document selection for Deep Read mode
- Implement batch processing with progress tracking
Known issues:
- Batch processing API integration pending
- Knowledge assets page navigation needs optimization
Status: Frontend functional, pending refinement
2026-01-06 22:15:42 +08:00
b31255031e
feat(iit-manager): Add WeChat Official Account integration for patient notifications
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Features:
- PatientWechatCallbackController for URL verification and message handling
- PatientWechatService for template and customer messages
- Support for secure mode (message encryption/decryption)
- Simplified route /wechat/patient/callback for WeChat config
- Event handlers for subscribe/unsubscribe/text messages
- Template message for visit reminders
Technical details:
- Reuse @wecom/crypto for encryption (compatible with Official Account)
- Relaxed Fastify schema validation to prevent early request blocking
- Access token caching (7000s with 5min pre-refresh)
- Comprehensive logging for debugging
Testing: Local URL verification passed, ready for SAE deployment
Status: Code complete, waiting for WeChat platform configuration
2026-01-04 22:53:42 +08:00
dfc472810b
feat(iit-manager): Integrate Dify knowledge base for hybrid retrieval
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Completed features:
- Created Dify dataset (Dify_test0102) with 2 processed documents
- Linked test0102 project with Dify dataset ID
- Extended intent detection to recognize query_protocol intent
- Implemented queryDifyKnowledge method (semantic search Top 5)
- Integrated hybrid retrieval (REDCap data + Dify documents)
- Fixed AI hallucination bugs (intent detection + API field path)
- Developed debugging scripts
- Completed end-to-end testing (5 scenarios passed)
- Generated comprehensive documentation (600+ lines)
- Updated development plans and module status
Technical highlights:
- Single project single knowledge base architecture
- Smart routing based on user intent
- Prevent AI hallucination by injecting real data/documents
- Session memory for multi-turn conversations
- Reused LLMFactory for DeepSeek-V3 integration
Bug fixes:
- Fixed intent detection missing keywords
- Fixed Dify API response field path error
Testing: All scenarios verified in WeChat production environment
Status: Fully tested and deployed
2026-01-04 15:44:11 +08:00
b47079b387
feat(iit): Phase 1.5 AI对话集成REDCap真实数据完成
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- feat: ChatService集成DeepSeek-V3实现AI对话（390行）
- feat: SessionMemory实现上下文记忆（最近3轮对话，170行）
- feat: 意图识别支持REDCap数据查询（关键词匹配）
- feat: REDCap数据注入LLM（queryRedcapRecord, countRedcapRecords, getProjectInfo）
- feat: 解决LLM幻觉问题（基于真实数据回答，明确system prompt）
- feat: 即时反馈（正在查询...提示）
- test: REDCap查询测试通过（test0102项目，10条记录，ID 7患者详情）
- docs: 创建Phase1.5开发完成记录（313行）
- docs: 更新Phase1.5开发计划（标记完成）
- docs: 更新MVP开发任务清单（Phase 1.5完成）
- docs: 更新模块当前状态（60%完成度）
- docs: 更新系统总体设计文档（v2.6）
- chore: 删除测试脚本（test-redcap-query-for-ai.ts, check-env-config.ts）
- chore: 移除REDCap测试环境变量（REDCAP_TEST_*）
技术亮点：
- AI基于REDCap真实数据对话，不编造信息
- 从数据库读取项目配置，不使用环境变量
- 企业微信端测试通过，用户体验良好
测试通过：
- 查询项目记录总数（10条）
- 查询特定患者详情（ID 7）
- 项目信息查询
- 上下文记忆（3轮对话）
- 即时反馈提示
影响范围：IIT Manager Agent模块
2026-01-03 22:48:10 +08:00
5f089516cb
feat(iit-manager): Day 3 企业微信集成开发完成
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- 新增WechatService（企业微信推送服务，支持文本/卡片/Markdown消息）
- 新增WechatCallbackController（异步回复模式，5秒内响应）
- 完善iit_quality_check Worker（调用WechatService推送通知）
- 新增企业微信回调路由（GET验证+POST接收消息）
- 实现LLM意图识别（query_weekly_summary/query_patient_info等）
- 安装依赖：@wecom/crypto, xml2js
- 更新开发记录文档和MVP开发计划
技术要点：
- 使用异步回复模式规避企业微信5秒超时限制
- 使用@wecom/crypto官方库处理XML加解密
- 使用setImmediate实现后台异步处理
- 支持主动推送消息返回LLM处理结果
- 完善审计日志记录（WECHAT_NOTIFICATION_SENT/WECHAT_INTERACTION）
相关文档：
- docs/03-业务模块/IIT Manager Agent/06-开发记录/Day3-企业微信集成开发完成记录.md
- docs/03-业务模块/IIT Manager Agent/04-开发计划/最小MVP闭环开发计划.md
- docs/03-业务模块/IIT Manager Agent/00-模块当前状态与开发指南.md
2026-01-03 09:39:39 +08:00
