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_gap_calculator(client): """测试 Delta Gap 计算器的各种功能和单位转换""" def print_header(): print("\n" + "=" * 60) print("Delta Gap 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""" delta_gap_value = data.get("value", "N/A") unit = data.get("unit", "") explanation = data.get("explanation", "") metadata = data.get("metadata", {}) # 基本结果 print(f"- Delta Gap 值: {delta_gap_value} {unit}") # 原始输入和计算过程 if metadata: sodium = metadata.get("sodium") chloride = metadata.get("chloride") bicarbonate = metadata.get("bicarbonate") anion_gap = metadata.get("anion_gap") clinical_note = metadata.get("clinical_note") if sodium: print(f"- 输入钠离子: {sodium} mEq/L") if chloride: print(f"- 输入氯离子: {chloride} mEq/L") if bicarbonate: print(f"- 输入碳酸氢盐: {bicarbonate} mEq/L") if anion_gap: print(f"- 阴离子间隙: {anion_gap} mEq/L") if clinical_note: print(f"- 临床意义: {clinical_note}") # 详细解释（截取前几行显示） if explanation: lines = explanation.split('\n')[:3] # 只显示前3行 for line in lines: if line.strip(): print(f"- 解释: {line.strip()}") def print_test_result(i, passed, expected_value=None, actual_value=None): if passed: status = "✅ 通过" else: status = "❌ 失败" print(f"- 测试结果: {status}") if expected_value is not None and actual_value is not None: print(f"- 期望值: {expected_value}, 实际值: {actual_value}") 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 Gap 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 = [ "标准单位计算 (mEq/L)", "混合单位转换 (mmol/L)", "不同单位组合", "参数验证", "正负值计算", "边界测试", "错误处理", ] for feature in features: print(f" - {feature}") # Test statistics total_tests = 0 passed_tests = 0 # 基于真实测试数据的测试用例 test_cases = [ { "name": "Standard calculation 1", "params": {"sodium": 135.0, "chloride": 110.0, "bicarbonate": 7.5}, "expected_valid": True, "expected_value": 5.5, "description": "标准计算 - 阳性Delta Gap (钠135, 氯110, 碳酸氢盐7.5)", }, { "name": "Negative delta gap", "params": {"sodium": 131.0, "chloride": 89.0, "bicarbonate": 36.0}, "expected_valid": True, "expected_value": -6.0, "description": "负Delta Gap - 高氯血症性酸中毒 (钠131, 氯89, 碳酸氢盐36)", }, { "name": "High positive delta gap", "params": {"sodium": 144.0, "chloride": 89.0, "bicarbonate": 10.0}, "expected_valid": True, "expected_value": 33.0, "description": "高阳性Delta Gap - 高阴离子间隙代谢性酸中毒 (钠144, 氯89, 碳酸氢盐10)", }, { "name": "Normal range", "params": {"sodium": 137.0, "chloride": 100.0, "bicarbonate": 25.0}, "expected_valid": True, "expected_value": 0.0, "description": "正常范围 - Delta Gap为0 (钠137, 氯100, 碳酸氢盐25)", }, { "name": "Moderate positive", "params": {"sodium": 142.0, "chloride": 109.0, "bicarbonate": 23.0}, "expected_valid": True, "expected_value": -2.0, "description": "轻度负值 (钠142, 氯109, 碳酸氢盐23)", }, { "name": "Invalid sodium (low)", "params": {"sodium": 100.0, "chloride": 100.0, "bicarbonate": 25.0}, "expected_valid": False, "description": "无效钠离子值（过低）", }, { "name": "Invalid chloride (high)", "params": {"sodium": 140.0, "chloride": 130.0, "bicarbonate": 25.0}, "expected_valid": False, "description": "无效氯离子值（过高）", }, { "name": "Invalid bicarbonate (low)", "params": {"sodium": 140.0, "chloride": 100.0, "bicarbonate": 2.0}, "expected_valid": False, "description": "无效碳酸氢盐值（过低）", }, { "name": "Edge case - high values", "params": {"sodium": 148.0, "chloride": 117.0, "bicarbonate": 8.6}, "expected_valid": True, "expected_value": 10.4, "description": "边界测试 - 高值范围 (钠148, 氯117, 碳酸氢盐8.6)", }, ] print_header() # Execute test cases for i, test_case in enumerate(test_cases, 1): total_tests += 1 test_passed = True actual_value = None print_test_case(i, test_case) # Calculation test try: calc_result = await client.call_tool( "calculate", { "calculator_id": 63, # Delta Gap 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"] actual_value = data.get("value") print_calculation_result(data) # 检查是否符合预期的有效性 if not test_case["expected_valid"]: print("- 错误: 预期失败但计算成功") test_passed = False else: # 如果测试用例有期望值，检查数值精度 if "expected_value" in test_case and actual_value is not None: expected = test_case["expected_value"] # 允许小的数值误差（约5%） tolerance = abs(expected * 0.05) + 0.1 # 至少0.1的容差 if abs(actual_value - expected) > tolerance: print(f"- 数值误差: 期望 {expected}, 实际 {actual_value}, 容差 ±{tolerance:.1f}") 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 expected_val = test_case.get("expected_value") print_test_result(i, test_passed, expected_val, actual_value) 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 Gap 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 Gap 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 Gap 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 Gap 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_gap_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 Gap 计算器测试完成") if __name__ == "__main__": asyncio.run(main())