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AIclinicalresearch/backend/test-pkb-migration.http
HaHafeng 96290d2f76 feat(aia): Implement Protocol Agent MVP with reusable Agent framework 
Sprint 1-3 Completed (Backend + Frontend):

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

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

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

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

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

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

Next: Sprint 4 - One-click protocol generation + Word export
2026-01-24 17:29:24 +08:00

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###
# PKB模块迁移 - API测试脚本
# 测试v1和v2路由的功能完整性和一致<EFBFBD>?
###
@baseUrl = http://localhost:3000
@userId = user-mock-001
### ============================================
### 阶段3.1: 健康检<EFBFBD>?
### ============================================
### 1. PKB v2健康检<EFBFBD>?
GET {{baseUrl}}/api/v1/pkb/health
Accept: application/json
### ============================================
### 阶段3.2: 知识库CRUD测试
### ============================================
### 2. 获取知识库列表（v1<EFBFBD>?
GET {{baseUrl}}/api/v1/knowledge-bases
Accept: application/json
### 3. 获取知识库列表（v2<EFBFBD>?
GET {{baseUrl}}/api/v1/pkb/knowledge/knowledge-bases
Accept: application/json
### 4. 创建知识库（v2<EFBFBD>?
POST {{baseUrl}}/api/v1/pkb/knowledge/knowledge-bases
Content-Type: application/json
{
"name": "测试知识库v2-{{$timestamp}}",
"description": "这是一个通过v2 API创建的测试知识库"
}
### 5. 创建知识库（v1 - 对比<EFBFBD>?
POST {{baseUrl}}/api/v1/knowledge-bases
Content-Type: application/json
{
"name": "测试知识库v1-{{$timestamp}}",
"description": "这是一个通过v1 API创建的测试知识库"
}
### 6. 获取知识库详情（v2<EFBFBD>?
# 替换为实际的知识库ID
@kbId = f6ebe476-c50f-4222-83d2-c2525edc6054
GET {{baseUrl}}/api/v1/pkb/knowledge/knowledge-bases/{{kbId}}
Accept: application/json
### 7. 获取知识库详情（v1 - 对比<EFBFBD>?
GET {{baseUrl}}/api/v1/knowledge-bases/{{kbId}}
Accept: application/json
### 8. 更新知识库（v2<EFBFBD>?
PUT {{baseUrl}}/api/v1/pkb/knowledge/knowledge-bases/{{kbId}}
Content-Type: application/json
{
"name": "更新后的知识库名称v2",
"description": "通过v2 API更新的描<EFBFBD>?
}
### 9. 获取知识库统计（v2<EFBFBD>?
GET {{baseUrl}}/api/v1/pkb/knowledge/knowledge-bases/{{kbId}}/stats
Accept: application/json
### 10. 获取知识库统计（v1 - 对比<EFBFBD>?
GET {{baseUrl}}/api/v1/knowledge-bases/{{kbId}}/stats
Accept: application/json
### ============================================
### 阶段3.3: RAG检索测<EFBFBD>?
### ============================================
### 11. RAG检索（v2<EFBFBD>?
GET {{baseUrl}}/api/v1/pkb/knowledge/knowledge-bases/{{kbId}}/search?query=阿尔兹海默症的治疗方<EFBFBD>?top_k=5
Accept: application/json
### 12. RAG检索（v1 - 对比<EFBFBD>?
GET {{baseUrl}}/api/v1/knowledge-bases/{{kbId}}/search?query=阿尔兹海默症的治疗方<EFBFBD>?top_k=5
Accept: application/json
### ============================================
### 阶段3.4: 文档选择（全文阅读模式）
### ============================================
### 13. 获取文档选择（v2<EFBFBD>?
GET {{baseUrl}}/api/v1/pkb/knowledge/knowledge-bases/{{kbId}}/document-selection?max_files=7&max_tokens=750000
Accept: application/json
### 14. 获取文档选择（v1 - 对比<EFBFBD>?
GET {{baseUrl}}/api/v1/knowledge-bases/{{kbId}}/document-selection?max_files=7&max_tokens=750000
Accept: application/json
### ============================================
### 阶段3.5: 文档管理测试
### ============================================
### 15. 获取文档列表（通过知识库详情）
GET {{baseUrl}}/api/v1/pkb/knowledge/knowledge-bases/{{kbId}}
Accept: application/json
### 16. 获取单个文档详情（v2<EFBFBD>?
# 替换为实际的文档ID
@docId = your-document-id
GET {{baseUrl}}/api/v1/pkb/knowledge/documents/{{docId}}
Accept: application/json
### ============================================
### 阶段3.6: 批处理功能测<EFBFBD>?
### ============================================
### 17. 获取批处理模板（v2<EFBFBD>?
GET {{baseUrl}}/api/v1/pkb/batch-tasks/batch/templates
Accept: application/json
### 18. 创建批处理任务（v2<EFBFBD>?
POST {{baseUrl}}/api/v1/pkb/batch-tasks/batch/execute
Content-Type: application/json
{
"kb_id": "{{kbId}}",
"document_ids": [],
"template_type": "preset",
"template_id": "clinical_research_method",
"model_type": "deepseek-v3",
"task_name": "测试批处理任务v2"
}
### ============================================
### 阶段3.7: 边界条件测试
### ============================================
### 19. 测试不存在的知识库（v2<EFBFBD>?
GET {{baseUrl}}/api/v1/pkb/knowledge/knowledge-bases/00000000-0000-0000-0000-000000000000
Accept: application/json
### 20. 测试无效的查询参数（v2<EFBFBD>?
GET {{baseUrl}}/api/v1/pkb/knowledge/knowledge-bases/{{kbId}}/search?query=&top_k=0
Accept: application/json
### 21. 测试超大top_k参数（v2<EFBFBD>?
GET {{baseUrl}}/api/v1/pkb/knowledge/knowledge-bases/{{kbId}}/search?query=测试&top_k=1000
Accept: application/json
### ============================================
### 阶段3.8: 清理测试数据（可选）
### ============================================
### 22. 删除测试知识库（v2<EFBFBD>?
# @testKbId = 从创建响应中获取的ID
DELETE {{baseUrl}}/api/v1/pkb/knowledge/knowledge-bases/{{testKbId}}
###
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