Files
AIclinicalresearch/tests/run_tests.sh
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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#!/bin/bash
# Linux/Mac脚本 - 运行缺失值处理功能测试
echo "========================================"
echo "缺失值处理功能 - 自动化测试"
echo "========================================"
echo
# 检查Python是否安装
if ! command -v python3 &> /dev/null; then
echo "[错误] Python未安装"
exit 1
fi
echo "[1/3] 检查Python服务状态..."
if ! curl -s http://localhost:8001/health > /dev/null 2>&1; then
echo "[警告] Python服务未运行请先启动服务"
echo " cd extraction_service"
echo " python main.py"
echo
exit 1
fi
echo "[OK] Python服务运行正常"
echo
echo "[2/3] 检查依赖..."
python3 -c "import pandas, numpy, requests" 2> /dev/null
if [ $? -ne 0 ]; then
echo "[警告] 缺少依赖,正在安装..."
pip3 install pandas numpy requests
fi
echo "[OK] 依赖检查完成"
echo
echo "[3/3] 运行测试..."
echo
python3 test_fillna_operations.py
echo
echo "========================================"
echo "测试完成"
echo "========================================"