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_delta_ratio_calculator(client): """测试 Delta Ratio 计算器的各种功能和参数验证""" def print_header(): print("\n" + "=" * 60) print("Delta Ratio 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_result=None): """打印完整的计算结果""" delta_ratio_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"- Delta Ratio: {delta_ratio_value} {unit}") # 预期结果比较 if expected_result is not None: if abs(float(delta_ratio_value) - float(expected_result)) < 0.1: print(f"- ✅ 结果匹配预期: {expected_result}") else: print(f"- ❌ 结果不匹配: 预期 {expected_result}, 实际 {delta_ratio_value}") # 元数据 if metadata: sodium = metadata.get("sodium", "N/A") chloride = metadata.get("chloride", "N/A") bicarbonate = metadata.get("bicarbonate", "N/A") anion_gap = metadata.get("anion_gap", "N/A") delta_gap = metadata.get("delta_gap", "N/A") clinical_note = metadata.get("clinical_note", "") print(f"- 输入 - Na+: {sodium} mEq/L, Cl-: {chloride} mEq/L, HCO3-: {bicarbonate} mEq/L") print(f"- 计算 - 阴离子间隙: {anion_gap}, Delta Gap: {delta_gap}") 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}") # 解释（显示部分） if explanation and len(explanation) > 100: print(f"- 解释: {explanation[:100]}...") elif explanation: print(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！Delta Ratio 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 = [ "基本Delta Ratio计算", "阴离子间隙计算", "参数验证 (Na+, Cl-, HCO3-)", "边界值测试", "错误处理", "临床解释", ] for feature in features: print(f" - {feature}") # Test statistics total_tests = 0 passed_tests = 0 # Test cases based on the data file and additional edge cases test_cases = [ { "name": "Standard case 1", "params": {"sodium": 143, "chloride": 112, "bicarbonate": 22}, "expected_valid": True, "expected_result": -1.5, "description": "标准计算 (Na+=143, Cl-=112, HCO3-=22)", }, { "name": "Standard case 2", "params": {"sodium": 140, "chloride": 101, "bicarbonate": 22}, "expected_valid": True, "expected_result": 2.5, "description": "标准计算 (Na+=140, Cl-=101, HCO3-=22)", }, { "name": "High anion gap case", "params": {"sodium": 139, "chloride": 95.3, "bicarbonate": 13.8}, "expected_valid": True, "expected_result": 1.755, "description": "高阴离子间隙病例", }, { "name": "Normal gap case", "params": {"sodium": 137, "chloride": 100, "bicarbonate": 25}, "expected_valid": True, "expected_result": 0, "description": "正常间隙病例", }, { "name": "Low bicarbonate case", "params": {"sodium": 136, "chloride": 101, "bicarbonate": 5}, "expected_valid": True, "expected_result": 0.947, "description": "低碳酸氢盐病例", }, { "name": "Invalid sodium (too low)", "params": {"sodium": 110, "chloride": 100, "bicarbonate": 20}, "expected_valid": False, "description": "无效钠离子（过低）", }, { "name": "Invalid chloride (too high)", "params": {"sodium": 140, "chloride": 130, "bicarbonate": 20}, "expected_valid": False, "description": "无效氯离子（过高）", }, { "name": "Invalid bicarbonate (too low)", "params": {"sodium": 140, "chloride": 100, "bicarbonate": 5}, "expected_valid": True, # 5 is at the lower limit but valid "expected_result": 1.211, "description": "边界碳酸氢盐值（下限）", }, { "name": "Bicarbonate = 24 (denominator = 0)", "params": {"sodium": 140, "chloride": 100, "bicarbonate": 24}, "expected_valid": False, # This should cause division by zero "description": "分母为零的情况 (HCO3-=24)", }, { "name": "String parameters test", "params": {"sodium": "140", "chloride": "100", "bicarbonate": "20"}, "expected_valid": True, "expected_result": 2.0, "description": "字符串参数测试", }, ] 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": 64, "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"] expected_result = test_case.get("expected_result") print_calculation_result(data, expected_result) # 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 elif expected_result is not None: actual_result = float(data.get("value", 0)) if abs(actual_result - expected_result) > 0.1: print(f"- 错误: 计算结果不准确，预期 {expected_result}, 实际 {actual_result}") 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("Delta Ratio 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("Delta Ratio 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✅ Delta Ratio 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 Delta Ratio 计算器实现。") print_header() try: async with Client(MCP_SERVER_URL) as client: print_connection_status(True) passed, failed = await test_delta_ratio_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("✅ Delta Ratio 计算器测试完成") if __name__ == "__main__": asyncio.run(main())