- 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
77 lines
2.9 KiB
PowerShell
77 lines
2.9 KiB
PowerShell
# Git Commit Script for IIT Manager Agent Day 1
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# Encoding: UTF-8
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cd D:\MyCursor\AIclinicalresearch
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# Add all changes
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git add .
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# Commit with detailed message (English to avoid encoding issues)
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git commit -m "feat(iit): Initialize IIT Manager Agent MVP - Day 1 foundation complete
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Summary:
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- Launch strategic new module: IIT Manager Agent (AI-driven IIT research assistant)
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- Complete Day 1/14 MVP development: Database schema, module structure, and WeChat integration
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Database Layer:
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- Add iit_schema to Prisma with 5 tables (IitProject, IitPendingAction, IitTaskRun, IitUserMapping, IitAuditLog)
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- Include V1.1 new fields: cachedRules, lastSyncAt, miniProgramOpenId
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- Database sync successful (prisma db push)
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- Prisma Client generated
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- CRUD tests passed (all 5 tables verified)
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Module Structure:
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- Create backend/src/modules/iit-manager/ with 7 subdirectories
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- Implement types/index.ts with 223 lines of TypeScript definitions
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- Create routes/index.ts with health check endpoint (/api/v1/iit/health)
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- Add test scripts: test-iit-database.ts (passed), test-wechat-push.ts (Access Token verified)
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System Integration:
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- Register IIT routes in backend/src/index.ts
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- Add WeChat config to backend/src/config/env.ts (wechatCorpId, wechatCorpSecret, wechatAgentId)
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- Health check endpoint working
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WeChat Enterprise Integration:
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- Successfully registered WeChat Enterprise app: IIT Manager Agent
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- CorpID: ww6ab493470ab4f377, AgentID: 1000002
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- Access Token retrieval successful (core verification passed)
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- IP whitelist issue noted (does not affect development)
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Documentation:
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- Update system status doc (v2.3 -> v2.4, add IIT module overview)
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- Create complete IIT Manager Agent doc structure (00-system-design, 02-tech-design, 04-dev-plan, 06-dev-log)
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- Technical development plan V1.1 (2170 lines, architectural review corrections integrated)
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- MVP development task list (615 lines, 14-day sprint plan)
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- WeChat registration guide (209 lines)
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Architecture Highlights (V1.1):
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- Hybrid sync mode: Webhook + Polling (99.9% reliability)
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- Postgres-Only architecture: Reuse platform cache and pg-boss queue
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- Shadow state mechanism: PROPOSED -> APPROVED -> EXECUTED workflow
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- Dify RAG integration: Protocol knowledge retrieval + rule pre-caching
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- Frontend stack: Taro 4.x (React syntax, supports mini-program + H5)
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Files Created:
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- backend/prisma/schema.prisma (add iit_schema)
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- backend/src/modules/iit-manager/* (complete module structure)
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- backend/src/config/env.ts (add WeChat config)
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- docs/03-业务模块/IIT Manager Agent/* (complete documentation)
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- docs/00-系统总体设计/00-系统当前状态与开发指南.md (update to v2.4)
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Testing Results:
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- Database CRUD: All 5 tables passed
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- System integration: Health check endpoint working
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- WeChat API: Access Token retrieved successfully
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Status: Day 1 complete (11/11 tasks, 100%), ready for Day 2 REDCap integration"
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# Push to remote
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git push origin master
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Write-Host "Git commit and push completed!" -ForegroundColor Green
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