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Medical Calculator MCP Service

api_test_fibrosis_4_calculator.py11 kB
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_fibrosis_4_calculator(client): """测试 Fibrosis-4 (FIB-4) 指数计算器的各种功能""" def print_header(): print("\n" + "=" * 60) print("Fibrosis-4 (FIB-4) 指数计算器测试套件") 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""" fib4_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"- FIB-4 值: {fib4_value} {unit}") # 原始输入值 if metadata: age = metadata.get("age") ast = metadata.get("ast") alt = metadata.get("alt") platelet_count = metadata.get("platelet_count") risk_assessment = metadata.get("risk_assessment", "N/A") if age: print(f"- 年龄: {age} years") if ast: print(f"- AST: {ast} U/L") if alt: print(f"- ALT: {alt} U/L") if platelet_count: print(f"- 血小板计数: {platelet_count} ×10⁹/L") if risk_assessment: print(f"- 风险评估: {risk_assessment}") # 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.strip()[:200]}...") 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!Fibrosis-4 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 = [ "年龄验证 (18-120岁)", "AST/ALT 酶值验证", "血小板计数验证", "FIB-4 计算", "风险评估分类", "参数验证", "错误处理", "边界测试", ] for feature in features: print(f" - {feature}") # Test statistics total_tests = 0 passed_tests = 0 # 基于真实医学数据的测试用例 (来自 data/medcalc_train_testcase_s20.jsonl) test_cases = [ { "name": "Standard case 1", "params": {"age": "68", "ast": "42.0", "alt": "20.0", "platelet_count": "172"}, "expected_valid": True, "expected_result": 3.713, "description": "标准计算 (68岁, AST:42, ALT:20, 血小板:172×10⁹/L)", }, { "name": "Low risk case", "params": {"age": "35", "ast": "13.0", "alt": "16.0", "platelet_count": "261"}, "expected_valid": True, "expected_result": 0.436, "description": "低风险病例 (35岁, AST:13, ALT:16, 血小板:261×10⁹/L)", }, { "name": "High risk case", "params": {"age": "70", "ast": "55.0", "alt": "42.0", "platelet_count": "137"}, "expected_valid": True, "expected_result": 4.336, "description": "高风险病例 (70岁, AST:55, ALT:42, 血小板:137×10⁹/L)", }, { "name": "Intermediate case", "params": {"age": "49", "ast": "30.0", "alt": "29.0", "platelet_count": "112"}, "expected_valid": True, "expected_result": 2.437, "description": "中等风险病例 (49岁, AST:30, ALT:29, 血小板:112×10⁹/L)", }, { "name": "Young adult case", "params": {"age": "31", "ast": "157.0", "alt": "199.0", "platelet_count": "309"}, "expected_valid": True, "expected_result": 1.117, "description": "年轻成人病例 (31岁, AST:157, ALT:199, 血小板:309×10⁹/L)", }, { "name": "Invalid age (too young)", "params": {"age": "16", "ast": "42.0", "alt": "20.0", "platelet_count": "172"}, "expected_valid": False, "description": "无效年龄(太年轻)", }, { "name": "Invalid age (too old)", "params": {"age": "130", "ast": "42.0", "alt": "20.0", "platelet_count": "172"}, "expected_valid": False, "description": "无效年龄(过大)", }, { "name": "Invalid AST (too low)", "params": {"age": "68", "ast": "2.0", "alt": "20.0", "platelet_count": "172"}, "expected_valid": False, "description": "无效AST(过低)", }, { "name": "Invalid ALT (too high)", "params": {"age": "68", "ast": "42.0", "alt": "1200.0", "platelet_count": "172"}, "expected_valid": False, "description": "无效ALT(过高)", }, { "name": "Invalid platelet count (too low)", "params": {"age": "68", "ast": "42.0", "alt": "20.0", "platelet_count": "5"}, "expected_valid": False, "description": "无效血小板计数(过低)", }, ] 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": 19, "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 # 检查计算结果是否接近预期值(如果有预期结果) if "expected_result" in test_case: actual_value = data.get("value") expected_value = test_case["expected_result"] if actual_value is not None: # 允许5%的误差 tolerance = abs(expected_value * 0.05) if abs(actual_value - expected_value) > tolerance: print(f"- 错误: 计算结果不匹配 (期望: {expected_value:.3f}, 实际: {actual_value:.3f})") test_passed = False else: print(f"- ✅ 计算结果匹配 (期望: {expected_value:.3f}, 实际: {actual_value:.3f})") 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("Fibrosis-4 (FIB-4) 指数计算器 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("Fibrosis-4 指数计算器测试结果") 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✅ Fibrosis-4 指数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 Fibrosis-4 指数计算器实现。") print_header() try: async with Client(MCP_SERVER_URL) as client: print_connection_status(True) passed, failed = await test_fibrosis_4_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("✅ Fibrosis-4 指数计算器测试完成") if __name__ == "__main__": asyncio.run(main())

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