Medical Calculator MCP Service

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_framingham_calculator(client): """测试 QTc Framingham 计算器的各种功能和单位转换""" def print_header(): print("\n" + "=" * 60) print("QTc Framingham 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_validation_result(expected, actual, errors=None, warnings=None): if expected == actual: status = "✅ 通过" else: status = "❌ 失败" expected_text = "有效" if expected else "无效" actual_text = "有效" if actual else "无效" print(f"- 验证结果: {status} (期望: {expected_text}, 实际: {actual_text})") if errors: print(f"- ⚠️ 错误: {errors}") if warnings: print(f"- ⚠️ 警告: {warnings}") def print_calculation_result(data, expected_range=None): """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}") # 计算输入和原始值 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:.3f} sec") if formula: print(f"- 公式: {formula}") # 验证计算结果是否在预期范围内 if expected_range and qtc_value != "N/A": lower, upper, expected = expected_range try: qtc_float = float(qtc_value) if lower <= qtc_float <= upper: print(f"- ✅ 计算结果在预期范围内 ({lower:.3f} - {upper:.3f})") else: print(f"- ❌ 计算结果超出预期范围 ({lower:.3f} - {upper:.3f})") print(f"- 预期值: {expected:.3f}, 实际值: {qtc_float:.3f}") except ValueError: print(f"- ❌ 无法解析计算结果: {qtc_value}") # 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: print(f"- 解释: {explanation[:100]}..." if len(explanation) > 100 else f"- 解释: {explanation}") 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 Framingham 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 = [ "QT 间期和心率输入", "QTc Framingham 公式计算", "参数验证", "错误处理", "边界测试", "准确性验证" ] for feature in features: print(f" - {feature}") # Test statistics total_tests = 0 passed_tests = 0 # Test cases - 来自训练数据集 test_cases = [ { "name": "Standard case 1", "params": {"qt_interval": 330, "heart_rate": 131}, "expected_valid": True, "expected_range": (392.795, 434.141, 413.468), "description": "QT间期330ms, 心率131bpm", }, { "name": "Standard case 2", "params": {"qt_interval": 330, "heart_rate": 134}, "expected_valid": True, "expected_range": (394.258, 435.758, 415.008), "description": "QT间期330ms, 心率134bpm", }, { "name": "High heart rate", "params": {"qt_interval": 330, "heart_rate": 178}, "expected_valid": True, "expected_range": (410.497, 453.707, 432.102), "description": "高心率测试: QT间期330ms, 心率178bpm", }, { "name": "Low heart rate", "params": {"qt_interval": 330, "heart_rate": 47}, "expected_valid": True, "expected_range": (272.975, 301.709, 287.342), "description": "低心率测试: QT间期330ms, 心率47bpm", }, { "name": "Normal heart rate", "params": {"qt_interval": 330, "heart_rate": 70}, "expected_valid": True, "expected_range": (334.421, 369.623, 352.022), "description": "正常心率测试: QT间期330ms, 心率70bpm", }, { "name": "Invalid QT interval (too low)", "params": {"qt_interval": 150, "heart_rate": 70}, "expected_valid": False, "expected_range": None, "description": "无效QT间期（过低）", }, { "name": "Invalid QT interval (too high)", "params": {"qt_interval": 900, "heart_rate": 70}, "expected_valid": False, "expected_range": None, "description": "无效QT间期（过高）", }, { "name": "Invalid heart rate (too low)", "params": {"qt_interval": 330, "heart_rate": 20}, "expected_valid": False, "expected_range": None, "description": "无效心率（过低）", }, { "name": "Invalid heart rate (too high)", "params": {"qt_interval": 330, "heart_rate": 300}, "expected_valid": False, "expected_range": None, "description": "无效心率（过高）", }, ] 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 (validation is included in calculate) try: calc_result = await client.call_tool( "calculate", { "calculator_id": 57, "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, test_case.get("expected_range")) # 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 # 验证计算结果准确性 elif test_case.get("expected_range"): lower, upper, expected = test_case["expected_range"] try: qtc_value = float(data.get("value", 0)) # 允许一定的计算误差（5%） tolerance = abs(expected * 0.05) if abs(qtc_value - expected) > tolerance: print(f"- ❌ 计算结果与预期相差过大: 期望{expected:.3f}, 实际{qtc_value:.3f}") test_passed = False except (ValueError, TypeError): print(f"- ❌ 无法验证计算结果") 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 Framingham 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 Framingham 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 Framingham 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 Framingham 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_framingham_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 Framingham 计算器测试完成") if __name__ == "__main__": asyncio.run(main())