Skip to main content
Glama

QueryNest

by niuzaishu
test_select_collection.py2.79 kB
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """测试修复后的select_collection工作流约束""" import asyncio import sys from pathlib import Path # 添加项目根目录到Python路径 project_root = Path(__file__).parent sys.path.insert(0, str(project_root)) from mcp_server import QueryNestMCPServer async def test_select_collection_constraints(): """测试select_collection工具的工作流约束""" print("测试select_collection工作流约束...") server = QueryNestMCPServer('config.yaml') await server.initialize() print("MCP服务器初始化成功") # 重置工作流 print("重置工作流...") reset_result = await server.tools['workflow_reset'].execute({ 'confirm': True, 'session_id': 'test_session' }) print("工作流重置完成") # 测试原始场景:直接调用select_collection print("测试场景1:直接调用select_collection(无上下文)") try: result = await server.tools['select_collection'].execute({ 'show_recommendations': True, 'session_id': 'test_session' }, 'test_session') response_text = result[0].text print("响应内容:") print(response_text[:300] + "..." if len(response_text) > 300 else response_text) if "工作流约束" in response_text: print("仍然被工作流约束阻止") elif "缺少实例信息" in response_text or "缺少数据库信息" in response_text: print("正确显示了缺少信息的提示(比工作流约束更友好)") else: print("成功绕过工作流约束") except Exception as e: print(f"调用失败: {e}") # 测试改进场景:提供完整上下文 print("测试场景2:提供完整上下文") try: result = await server.tools['select_collection'].execute({ 'instance_id': 'ras_sit', 'database_name': 'za_bank_ras', 'show_recommendations': True, 'session_id': 'test_session' }, 'test_session') response_text = result[0].text print("响应内容:") print(response_text[:300] + "..." if len(response_text) > 300 else response_text) if "工作流约束" in response_text: print("仍然被工作流约束阻止") elif "选择集合" in response_text or "推荐" in response_text: print("成功显示集合选择界面") else: print("响应内容待分析") except Exception as e: print(f"调用失败: {e}") print("测试完成") if __name__ == "__main__": asyncio.run(test_select_collection_constraints())

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/niuzaishu/QueryNest'

If you have feedback or need assistance with the MCP directory API, please join our Discord server