Skip to main content
Glama

Medical Calculator MCP Service

api_test_qtc_bazett_calculator.py10.3 kB
import asyncio import json import sys import os from fastmcp import Client sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) from config import MCP_SERVER_URL async def test_qtc_bazett_calculator(client): """测试 QTc Bazett 计算器的各种功能和参数验证""" def print_header(): print("\n" + "=" * 60) print("QTc Bazett 计算器测试套件") print("=" * 60) def print_test_case(i, test_case): print(f"\n测试 {i:2d} | {test_case['name']}") print(f"- {test_case['description']}") print(f"- 输入参数: {test_case['params']}") def print_calculation_result(data): """打印完整的计算结果""" qtc_value = data.get("value", "N/A") unit = data.get("unit", "") explanation = data.get("explanation", "") metadata = data.get("metadata", {}) warnings = data.get("warnings", []) # 基本结果 print(f"- QTc 值: {qtc_value} {unit}") # 元数据 if metadata: qt_interval = metadata.get("qt_interval") heart_rate = metadata.get("heart_rate") rr_interval = metadata.get("rr_interval") formula = metadata.get("formula") if qt_interval: print(f"- QT 间期: {qt_interval} msec") if heart_rate: print(f"- 心率: {heart_rate} bpm") if rr_interval: print(f"- RR 间期: {rr_interval} sec") if formula: print(f"- 公式: {formula}") # 警告信息 if warnings: for warning in warnings: print(f"- ⚠️ 警告: {warning}") # 详细解释(截取前几行显示) if explanation: explanation_lines = explanation.strip().split('\n') print(f"- 解释: {explanation_lines[0]}...") def print_test_result(i, passed): if passed: status = "✅ 通过" else: status = "❌ 失败" print(f"- 测试结果: {status}") print("-" * 60) def print_summary(total, passed, failed): print(f"\n测试总结:") print(f" 总测试数: {total}") print(f" 通过数: {passed}") print(f" 失败数: {failed}") print(f" 成功率: {(passed/total*100):.1f}%") if failed == 0: print("\n✅ 所有测试都通过了!QTc Bazett 计算器工作正常。") else: print(f"\n❌ {failed} 个测试失败,请检查实现。") print("\n测试覆盖范围:") features = [ "标准参数计算", "不同心率范围", "参数验证", "边界值测试", "错误处理", "结果精度验证", ] for feature in features: print(f" - {feature}") # Test statistics total_tests = 0 passed_tests = 0 # Test cases based on data from medcalc_train_testcase_s20.jsonl test_cases = [ { "name": "High heart rate case 1", "params": {"qt_interval": 330, "heart_rate": 176}, "expected_valid": True, "expected_qtc": 565.115, "tolerance": 1.0, "description": "高心率测试 (176 bpm, 330 msec QT)", }, { "name": "High heart rate case 2", "params": {"qt_interval": 330, "heart_rate": 171}, "expected_valid": True, "expected_qtc": 557.007, "tolerance": 1.0, "description": "高心率测试 (171 bpm, 330 msec QT)", }, { "name": "Normal heart rate case", "params": {"qt_interval": 330, "heart_rate": 124}, "expected_valid": True, "expected_qtc": 474.342, "tolerance": 1.0, "description": "正常心率测试 (124 bpm, 330 msec QT)", }, { "name": "Lower normal heart rate", "params": {"qt_interval": 330, "heart_rate": 102}, "expected_valid": True, "expected_qtc": 430.353, "tolerance": 1.0, "description": "较低正常心率测试 (102 bpm, 330 msec QT)", }, { "name": "Low heart rate case", "params": {"qt_interval": 330, "heart_rate": 68}, "expected_valid": True, "expected_qtc": 351.382, "tolerance": 1.0, "description": "低心率测试 (68 bpm, 330 msec QT)", }, { "name": "Very low heart rate", "params": {"qt_interval": 330, "heart_rate": 59}, "expected_valid": True, "expected_qtc": 327.23, "tolerance": 1.0, "description": "非常低心率测试 (59 bpm, 330 msec QT)", }, { "name": "Invalid QT interval (too low)", "params": {"qt_interval": 150, "heart_rate": 80}, "expected_valid": False, "description": "无效 QT 间期(太低)", }, { "name": "Invalid QT interval (too high)", "params": {"qt_interval": 900, "heart_rate": 80}, "expected_valid": False, "description": "无效 QT 间期(太高)", }, { "name": "Invalid heart rate (too low)", "params": {"qt_interval": 330, "heart_rate": 25}, "expected_valid": False, "description": "无效心率(太低)", }, { "name": "Invalid heart rate (too high)", "params": {"qt_interval": 330, "heart_rate": 280}, "expected_valid": False, "description": "无效心率(太高)", }, ] print_header() # Execute test cases for i, test_case in enumerate(test_cases, 1): total_tests += 1 test_passed = True print_test_case(i, test_case) # Calculation test try: calc_result = await client.call_tool( "calculate", { "calculator_id": 11, # QTc Bazett Calculator ID "parameters": test_case["params"], }, ) # 使用 structured_content 或 data 属性获取实际数据 calc_data = calc_result.structured_content or calc_result.data or {} if isinstance(calc_data, dict) and calc_data.get("success") and "result" in calc_data: # 成功计算 data = calc_data["result"] print_calculation_result(data) # 检查是否符合预期 if not test_case["expected_valid"]: print("- 错误: 预期失败但计算成功") test_passed = False else: # 检查计算结果精度 if "expected_qtc" in test_case: actual_qtc = data.get("value") expected_qtc = test_case["expected_qtc"] tolerance = test_case.get("tolerance", 0.5) if actual_qtc is not None: diff = abs(actual_qtc - expected_qtc) if diff > tolerance: print(f"- 错误: QTc 值不准确 (期望: {expected_qtc}, 实际: {actual_qtc}, 差值: {diff:.3f})") test_passed = False else: print(f"- ✅ QTc 值准确 (期望: {expected_qtc}, 实际: {actual_qtc}, 差值: {diff:.3f})") else: print("- 错误: 未获得 QTc 值") test_passed = False else: # 计算失败(可能是参数验证失败) error_msg = calc_data.get("error", "未知错误") if isinstance(calc_data, dict) else str(calc_data) print(f"- 计算失败: {error_msg}") # 检查是否符合预期 if test_case["expected_valid"]: print("- 错误: 预期成功但计算失败") test_passed = False except Exception as e: print(f"- 计算错误: {e}") # 检查是否符合预期 if test_case["expected_valid"]: test_passed = False # Update statistics if test_passed: passed_tests += 1 print_test_result(i, test_passed) print_summary(total_tests, passed_tests, total_tests - passed_tests) return passed_tests, total_tests - passed_tests async def main(): def print_header(): print("QTc Bazett 计算器 MCP 测试") print("=" * 60) def print_connection_status(success, error=None): if success: print("✅ 成功连接到 MCP 服务器") else: print(f"❌ 连接失败: {error}") def print_overall_results(total_passed, total_failed): total_tests = total_passed + total_failed if total_tests == 0: return print("\n" + "=" * 60) print("QTc Bazett 计算器测试结果") print("=" * 60) print(f"总测试数: {total_tests}") print(f"通过数: {total_passed}") print(f"失败数: {total_failed}") print(f"成功率: {(total_passed/total_tests*100):.1f}%") if total_failed == 0: print("\n✅ QTc Bazett 计算器所有测试都通过了!") else: print(f"\n❌ {total_failed} 个测试失败,请检查 QTc Bazett 计算器实现。") print_header() try: async with Client(MCP_SERVER_URL) as client: print_connection_status(True) passed, failed = await test_qtc_bazett_calculator(client) print_overall_results(passed, failed) except Exception as e: print_connection_status(False, str(e)) import traceback traceback.print_exc() return print("\n" + "=" * 60) print("✅ QTc Bazett 计算器测试完成") if __name__ == "__main__": asyncio.run(main())

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/winninghealth/medcalcmcp'

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