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_child_pugh_calculator(client): """测试 Child-Pugh 计算器的各种功能""" def print_header(): print("\n" + "=" * 60) print("Child-Pugh Score 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): """打印完整的计算结果""" score_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"- Child-Pugh Score: {score_value} {unit}") # 元数据信息 if metadata: bilirubin = metadata.get("bilirubin") albumin = metadata.get("albumin") inr = metadata.get("inr") ascites = metadata.get("ascites") encephalopathy = metadata.get("encephalopathy") child_pugh_class = metadata.get("class", "N/A") if bilirubin is not None: print(f"- 总胆红素: {bilirubin} mg/dL") if albumin is not None: print(f"- 白蛋白: {albumin} g/dL") if inr is not None: print(f"- INR: {inr}") if ascites: print(f"- 腹水: {ascites}") if encephalopathy: print(f"- 肝性脑病: {encephalopathy}") if child_pugh_class: print(f"- Child-Pugh 分级: {child_pugh_class}") # 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: lines = explanation.strip().split('\n') print(f"- 解释: {lines[0][:100]}...") 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！Child-Pugh 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 = [ "Child-Pugh Score 计算", "多种分级判断 (Class A, B, C)", "参数验证", "边界值测试", "错误处理", "肝功能评估参数", ] for feature in features: print(f" - {feature}") # Test statistics total_tests = 0 passed_tests = 0 # Test cases test_cases = [ { "name": "Child-Pugh Class A (Score 5)", "params": {"bilirubin": 1.5, "albumin": 3.8, "inr": 1.2, "ascites": "Absent", "encephalopathy": "No Encephalopathy"}, "expected_valid": True, "expected_score": 5, "expected_class": "Class A", "description": "典型的 Class A 患者 (轻度肝硬化)", }, { "name": "Child-Pugh Class A (Score 6)", "params": {"bilirubin": 2.5, "albumin": 3.2, "inr": 1.5, "ascites": "Absent", "encephalopathy": "No Encephalopathy"}, "expected_valid": True, "expected_score": 7, "expected_class": "Class B", "description": "Class A/B 边界测试 (实际为 Class B)", }, { "name": "Child-Pugh Class B (Score 7)", "params": {"bilirubin": 1.8, "albumin": 3.6, "inr": 1.6, "ascites": "Absent", "encephalopathy": "No Encephalopathy"}, "expected_valid": True, "expected_score": 5, "expected_class": "Class A", "description": "Class A 边界值测试", }, { "name": "Child-Pugh Class B (Score 8)", "params": {"bilirubin": 2.2, "albumin": 3.0, "inr": 1.8, "ascites": "Absent", "encephalopathy": "Grade 1-2"}, "expected_valid": True, "expected_score": 9, "expected_class": "Class B", "description": "Class B 测试", }, { "name": "Child-Pugh Class B (Score 9)", "params": {"bilirubin": 3.5, "albumin": 2.5, "inr": 2.0, "ascites": "Slight", "encephalopathy": "No Encephalopathy"}, "expected_valid": True, "expected_score": 11, "expected_class": "Class C", "description": "Class C 测试（修正）", }, { "name": "Child-Pugh Class C (Score 10)", "params": {"bilirubin": 4.0, "albumin": 2.5, "inr": 2.5, "ascites": "Slight", "encephalopathy": "No Encephalopathy"}, "expected_valid": True, "expected_score": 12, "expected_class": "Class C", "description": "Class C 测试（修正）", }, { "name": "Child-Pugh Class C (Score 15 - Maximum)", "params": {"bilirubin": 5.0, "albumin": 2.0, "inr": 3.0, "ascites": "Moderate", "encephalopathy": "Grade 3-4"}, "expected_valid": True, "expected_score": 15, "expected_class": "Class C", "description": "最高分数测试 (最严重肝硬化)", }, { "name": "With Grade 1-2 Encephalopathy", "params": {"bilirubin": 2.0, "albumin": 3.0, "inr": 1.5, "ascites": "Absent", "encephalopathy": "Grade 1-2"}, "expected_valid": True, "expected_score": 8, "expected_class": "Class B", "description": "包含轻度肝性脑病（修正）", }, { "name": "Boundary Values - Low Normal", "params": {"bilirubin": 0.5, "albumin": 4.0, "inr": 1.0, "ascites": "Absent", "encephalopathy": "No Encephalopathy"}, "expected_valid": True, "expected_score": 5, "expected_class": "Class A", "description": "正常低值边界测试", }, { "name": "Invalid bilirubin (negative)", "params": {"bilirubin": -1.0, "albumin": 3.5, "inr": 1.2, "ascites": "Absent", "encephalopathy": "No Encephalopathy"}, "expected_valid": False, "description": "无效胆红素值 (负数)", }, { "name": "Invalid bilirubin (too high)", "params": {"bilirubin": 35.0, "albumin": 3.5, "inr": 1.2, "ascites": "Absent", "encephalopathy": "No Encephalopathy"}, "expected_valid": False, "description": "胆红素值超出范围", }, { "name": "Invalid albumin (too low)", "params": {"bilirubin": 2.0, "albumin": 0.5, "inr": 1.2, "ascites": "Absent", "encephalopathy": "No Encephalopathy"}, "expected_valid": False, "description": "白蛋白值过低", }, { "name": "Invalid INR (too low)", "params": {"bilirubin": 2.0, "albumin": 3.5, "inr": 0.5, "ascites": "Absent", "encephalopathy": "No Encephalopathy"}, "expected_valid": False, "description": "INR 值过低", }, { "name": "Invalid INR (too high)", "params": {"bilirubin": 2.0, "albumin": 3.5, "inr": 15.0, "ascites": "Absent", "encephalopathy": "No Encephalopathy"}, "expected_valid": False, "description": "INR 值过高", }, ] 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": 15, "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: # 验证分数和分级 if "expected_score" in test_case: actual_score = data.get("value") expected_score = test_case["expected_score"] if actual_score != expected_score: print(f"- 错误: 预期分数 {expected_score}, 实际分数 {actual_score}") test_passed = False if "expected_class" in test_case: metadata = data.get("metadata", {}) actual_class = metadata.get("class") expected_class = test_case["expected_class"] if actual_class != expected_class: print(f"- 错误: 预期分级 {expected_class}, 实际分级 {actual_class}") 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("Child-Pugh Score 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("Child-Pugh Score 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✅ Child-Pugh Score 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 Child-Pugh Score 计算器实现。") print_header() try: async with Client(MCP_SERVER_URL) as client: print_connection_status(True) passed, failed = await test_child_pugh_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("✅ Child-Pugh Score 计算器测试完成") if __name__ == "__main__": asyncio.run(main())