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_fena_calculator(client): """测试 FENa 计算器的各种功能和参数验证""" def print_header(): print("\n" + "=" * 60) print("FENa 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""" fena_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"- FENa 值: {fena_value}{unit}") # 原始输入参数 if metadata: serum_sodium = metadata.get("serum_sodium") serum_creatinine = metadata.get("serum_creatinine") urine_sodium = metadata.get("urine_sodium") urine_creatinine = metadata.get("urine_creatinine") clinical_note = metadata.get("clinical_note", "N/A") if serum_sodium is not None: print(f"- 血清钠: {serum_sodium} mEq/L") if serum_creatinine is not None: print(f"- 血清肌酐: {serum_creatinine} mg/dL") if urine_sodium is not None: print(f"- 尿钠: {urine_sodium} mEq/L") if urine_creatinine is not None: print(f"- 尿肌酐: {urine_creatinine} mg/dL") if clinical_note: print(f"- 临床意义: {clinical_note}") # 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')[:3] print(f"- 解释: {explanation_lines}") 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！FENa 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 = [ "FENa 计算公式验证", "参数范围验证", "临床意义解释", "错误处理", "边界值测试", "无效参数处理", ] for feature in features: print(f" - {feature}") # Test statistics total_tests = 0 passed_tests = 0 # Test cases test_cases = [ { "name": "Normal prerenal azotemia case", "params": { "serum_sodium": 140, "serum_creatinine": 2.0, "urine_sodium": 10, "urine_creatinine": 100 }, "expected_valid": True, "expected_fena_range": (0, 1), "description": "正常肾前性氮质血症病例 (FENa < 1%)", }, { "name": "Acute tubular necrosis case", "params": { "serum_sodium": 140, "serum_creatinine": 3.0, "urine_sodium": 60, "urine_creatinine": 80 }, "expected_valid": True, "expected_fena_range": (2, 5), "description": "急性肾小管坏死病例 (FENa > 2%)", }, { "name": "Intermediate range case", "params": { "serum_sodium": 138, "serum_creatinine": 1.5, "urine_sodium": 25, "urine_creatinine": 120 }, "expected_valid": True, "expected_fena_range": (1, 2), "description": "中间范围病例 (FENa 1-2%)", }, { "name": "Low serum sodium (hyponatremia)", "params": { "serum_sodium": 125, "serum_creatinine": 1.8, "urine_sodium": 15, "urine_creatinine": 90 }, "expected_valid": True, "description": "低钠血症病例", }, { "name": "High serum creatinine", "params": { "serum_sodium": 142, "serum_creatinine": 8.0, "urine_sodium": 45, "urine_creatinine": 60 }, "expected_valid": True, "description": "高肌酐病例", }, { "name": "Invalid serum sodium (too low)", "params": { "serum_sodium": 110, "serum_creatinine": 1.5, "urine_sodium": 20, "urine_creatinine": 100 }, "expected_valid": False, "description": "无效血清钠（过低）", }, { "name": "Invalid serum sodium (too high)", "params": { "serum_sodium": 170, "serum_creatinine": 1.5, "urine_sodium": 20, "urine_creatinine": 100 }, "expected_valid": False, "description": "无效血清钠（过高）", }, { "name": "Invalid serum creatinine (too low)", "params": { "serum_sodium": 140, "serum_creatinine": 0.3, "urine_sodium": 20, "urine_creatinine": 100 }, "expected_valid": False, "description": "无效血清肌酐（过低）", }, { "name": "Invalid urine sodium (too low)", "params": { "serum_sodium": 140, "serum_creatinine": 1.5, "urine_sodium": 2, "urine_creatinine": 100 }, "expected_valid": False, "description": "无效尿钠（过低）", }, { "name": "Missing required parameter", "params": { "serum_sodium": 140, "serum_creatinine": 1.5, "urine_sodium": 20 # missing urine_creatinine }, "expected_valid": False, "description": "缺少必需参数（尿肌酐）", }, ] 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": 40, "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 FENa 范围（如果有预期范围） if "expected_fena_range" in test_case: fena_value = data.get("value") if fena_value is not None: expected_min, expected_max = test_case["expected_fena_range"] if not (expected_min <= fena_value <= expected_max): print(f"- 警告: FENa 值 {fena_value}% 不在预期范围 {expected_min}-{expected_max}% 内") # 不算作失败，只是警告 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("FENa 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("FENa 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✅ FENa 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 FENa 计算器实现。") print_header() try: async with Client(MCP_SERVER_URL) as client: print_connection_status(True) passed, failed = await test_fena_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("✅ FENa 计算器测试完成") if __name__ == "__main__": asyncio.run(main())