531 lines
25 KiB
Python
531 lines
25 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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API测试工具
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此工具使用DDMS测试编排器从YAPI或Swagger定义执行API测试。
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支持使用规则库进行高级验证。
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"""
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import os
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import sys
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import json
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import logging
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import argparse
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from pathlib import Path
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from typing import List, Optional
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from ddms_compliance_suite.api_caller.caller import APICallDetail
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from ddms_compliance_suite.test_orchestrator import APITestOrchestrator, TestSummary
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from ddms_compliance_suite.input_parser.parser import ParsedAPISpec
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# 配置日志
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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)
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logger = logging.getLogger(__name__)
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def parse_args():
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"""解析命令行参数"""
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parser = argparse.ArgumentParser(description='DDMS API测试工具')
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# 基本参数
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parser.add_argument('--base-url', required=True, help='API基础URL')
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parser.add_argument('--verbose', '-v', action='store_true', help='启用详细日志')
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parser.add_argument('--output', '-o', help='输出目录或主报告文件路径 (例如 ./test_reports/ 或 ./test_reports/summary.json)')
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parser.add_argument('--format', choices=['json', 'html'], default='json', help='主测试摘要报告的输出格式')
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parser.add_argument('--api-calls-output', help='API 调用详情的 Markdown 输出文件路径 (例如 ./test_reports/api_calls.md)。如果未提供，将尝试使用 --output 目录和默认文件名 api_call_details.md。始终会额外生成一个同名的 .txt 文件包含纯 cURL 命令。')
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# API定义参数
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api_group = parser.add_argument_group('API定义源')
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api_group.add_argument('--yapi', help='YAPI定义文件路径')
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api_group.add_argument('--swagger', help='Swagger定义文件路径')
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# 过滤参数
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filter_group = parser.add_argument_group('过滤选项')
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filter_group.add_argument('--categories', help='YAPI分类，逗号分隔')
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filter_group.add_argument('--tags', help='Swagger标签，逗号分隔')
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filter_group.add_argument('--list-categories', action='store_true', help='列出YAPI分类')
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filter_group.add_argument('--list-tags', action='store_true', help='列出Swagger标签')
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# 新增：自定义测试用例参数组
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custom_tc_group = parser.add_argument_group('自定义测试用例选项')
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custom_tc_group.add_argument('--custom-test-cases-dir',
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default=None, # 或者 './custom_testcases' 如果想设为默认
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help='存放自定义APITestCase Python文件的目录路径。如果未提供，则不加载自定义测试。')
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# 新增：LLM 配置选项
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llm_group = parser.add_argument_group('LLM 配置选项 (可选)')
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llm_group.add_argument('--llm-api-key',
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default=os.environ.get("OPENAI_API_KEY"), # 尝试从环境变量获取
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help='LLM服务的API密钥 (例如 OpenAI API Key)。默认从环境变量 OPENAI_API_KEY 读取。')
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llm_group.add_argument('--llm-base-url',
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default="https://dashscope.aliyuncs.com/compatible-mode/v1",
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help='LLM服务的自定义基础URL (例如 OpenAI API代理)。')
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llm_group.add_argument('--llm-model-name',
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default="qwen-plus", # 设置一个常用的默认模型
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help='要使用的LLM模型名称 (例如 "gpt-3.5-turbo", "gpt-4")。')
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llm_group.add_argument('--use-llm-for-request-body',
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action='store_true',
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default=False, # 默认不使用LLM生成请求体
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help='是否启用LLM为API请求生成请求体数据。')
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llm_group.add_argument('--use-llm-for-path-params',
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action='store_true',
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default=False,
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help='是否启用LLM为API请求生成路径参数。')
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llm_group.add_argument('--use-llm-for-query-params',
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action='store_true',
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default=False,
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help='是否启用LLM为API请求生成查询参数。')
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llm_group.add_argument('--use-llm-for-headers',
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action='store_true',
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default=False,
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help='是否启用LLM为API请求生成头部参数。')
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# 新增：场景测试参数组
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scenario_group = parser.add_argument_group('API测试阶段 (Stage) 选项 (可选)')
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scenario_group.add_argument('--stages-dir',
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default=None,
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help='存放自定义APIStage Python文件的目录路径。如果未提供，则不执行测试阶段。')
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return parser.parse_args()
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def list_yapi_categories(yapi_file: str):
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"""列出YAPI分类"""
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from ddms_compliance_suite.input_parser.parser import InputParser
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logger.info(f"从YAPI文件解析分类: {yapi_file}")
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parser = InputParser()
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parsed_yapi = parser.parse_yapi_spec(yapi_file)
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if not parsed_yapi:
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logger.error(f"解析YAPI文件失败: {yapi_file}")
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return
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print("\nYAPI分类:")
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for i, category in enumerate(parsed_yapi.categories, 1):
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print(f"{i}. {category.get('name', '未命名')} - {category.get('desc', '无描述')}")
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def list_swagger_tags(swagger_file: str):
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"""列出Swagger标签"""
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from ddms_compliance_suite.input_parser.parser import InputParser
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logger.info(f"从Swagger文件解析标签: {swagger_file}")
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parser = InputParser()
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parsed_swagger = parser.parse_swagger_spec(swagger_file)
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if not parsed_swagger:
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logger.error(f"解析Swagger文件失败: {swagger_file}")
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return
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print("\nSwagger标签:")
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for i, tag in enumerate(parsed_swagger.tags, 1):
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print(f"{i}. {tag.get('name', '未命名')} - {tag.get('description', '无描述')}")
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def save_results(summary: TestSummary, output_file_path: str, format_type: str):
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"""保存主测试摘要结果"""
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output_path = Path(output_file_path)
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# Ensure the directory for the output file exists
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try:
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output_path.parent.mkdir(parents=True, exist_ok=True)
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except OSError as e:
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logger.error(f"Error creating directory for output file {output_path.parent}: {e}")
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return
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if format_type == 'json':
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with open(output_path, 'w', encoding='utf-8') as f:
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f.write(summary.to_json(pretty=True))
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logger.info(f"测试结果已保存为JSON: {output_path}")
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elif format_type == 'html':
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# Creating simple HTML report
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html_content = f"""
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<!DOCTYPE html>
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<html>
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<head>
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<meta charset="utf-8">
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<title>API测试报告</title>
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<style>
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body {{ font-family: Arial, sans-serif; margin: 20px; }}
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.summary {{ background-color: #f5f5f5; padding: 15px; border-radius: 5px; }}
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.pass {{ color: green; }}
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.fail {{ color: red; }}
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.error {{ color: orange; }}
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.skip {{ color: gray; }}
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table {{ border-collapse: collapse; width: 100%; }}
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th, td {{ border: 1px solid #ddd; padding: 8px; text-align: left; }}
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th {{ background-color: #f2f2f2; }}
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tr:nth-child(even) {{ background-color: #f9f9f9; }}
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</style>
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</head>
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<body>
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<h1>API测试报告</h1>
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<div class="summary">
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<h2>测试结果摘要</h2>
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<p>总测试数: {summary.total_test_cases_executed}</p>
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<p class="pass">通过: {summary.test_cases_passed}</p>
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<p class="fail">失败: {summary.test_cases_failed}</p>
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<p class="error">错误: {summary.test_cases_error}</p>
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<p class="skip">跳过: {summary.test_cases_skipped_in_endpoint}</p>
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<p>成功率: {summary.test_case_success_rate:.2f}%</p>
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<p>总耗时: {summary.duration:.2f}秒</p>
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<p>开始时间: {summary.start_time.isoformat()}</p>
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<p>结束时间: {summary.end_time.isoformat() if summary.end_time else 'N/A'}</p>
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</div>
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<h2>详细测试结果</h2>
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<table>
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<tr>
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<th>端点</th>
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<th>测试用例ID</th>
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<th>测试用例名称</th>
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<th>状态</th>
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<th>消息</th>
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<th>耗时(秒)</th>
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</tr>
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"""
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for endpoint_result in summary.detailed_results:
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for tc_result in endpoint_result.executed_test_cases:
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status_class = "pass" if tc_result.status == ExecutedTestCaseResult.Status.PASSED else \
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"fail" if tc_result.status == ExecutedTestCaseResult.Status.FAILED else \
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"error" if tc_result.status == ExecutedTestCaseResult.Status.ERROR else "skip"
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html_content += f"""
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<tr>
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<td>{endpoint_result.endpoint_name} ({endpoint_result.endpoint_id})</td>
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<td>{tc_result.test_case_id}</td>
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<td>{tc_result.test_case_name}</td>
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<td class="{status_class}">{tc_result.status.value}</td>
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<td>{tc_result.message}</td>
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<td>{tc_result.duration:.4f}</td>
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</tr>
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"""
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html_content += """
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</table>
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</body>
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</html>
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"""
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with open(output_path, 'w', encoding='utf-8') as f:
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f.write(html_content)
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logger.info(f"测试结果已保存为HTML: {output_path}")
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def save_api_call_details_to_file(api_call_details: List[APICallDetail], output_dir_path: str, filename: str = "api_call_details.md"):
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"""
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将API调用详情列表保存到指定目录下的 Markdown 文件中。
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同时，额外生成一个纯文本文件 (.txt)，每行包含一个 cURL 命令。
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"""
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if not api_call_details:
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logger.info("没有API调用详情可供保存。")
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return
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output_dir = Path(output_dir_path)
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try:
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output_dir.mkdir(parents=True, exist_ok=True)
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except OSError as e:
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logger.error(f"创建API调用详情输出目录 {output_dir} 失败: {e}")
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return
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# 主文件是 Markdown 文件
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md_output_file = output_dir / filename
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# 确保它是 .md，尽管 main 函数应该已经处理了
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if md_output_file.suffix.lower() not in ['.md', '.markdown']:
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md_output_file = md_output_file.with_suffix('.md')
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markdown_content = []
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for detail in api_call_details:
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# Request URL with params (if any)
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url_to_display = detail.request_url
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if detail.request_params:
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try:
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# Ensure urllib is available for this formatting step
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import urllib.parse
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query_string = urllib.parse.urlencode(detail.request_params)
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url_to_display = f"{detail.request_url}?{query_string}"
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except Exception as e:
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logger.warning(f"Error formatting URL with params for display: {e}")
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# Fallback to just the base URL if params formatting fails
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markdown_content.append(f"## `{detail.request_method} {url_to_display}`")
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markdown_content.append("**cURL Command:**")
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markdown_content.append("```sh")
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markdown_content.append(detail.curl_command)
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markdown_content.append("```")
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markdown_content.append("### Request Details")
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markdown_content.append(f"- **Method:** `{detail.request_method}`")
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markdown_content.append(f"- **Full URL:** `{url_to_display}`")
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markdown_content.append("- **Headers:**")
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markdown_content.append("```json")
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markdown_content.append(json.dumps(detail.request_headers, indent=2, ensure_ascii=False))
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markdown_content.append(" ```")
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if detail.request_params:
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markdown_content.append("- **Query Parameters:**")
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markdown_content.append("```json")
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markdown_content.append(json.dumps(detail.request_params, indent=2, ensure_ascii=False))
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markdown_content.append(" ```")
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if detail.request_body is not None:
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markdown_content.append("- **Body:**")
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body_lang = "text"
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formatted_body = str(detail.request_body)
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try:
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# Try to parse as JSON for pretty printing
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if isinstance(detail.request_body, str):
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try:
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parsed_json = json.loads(detail.request_body)
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formatted_body = json.dumps(parsed_json, indent=2, ensure_ascii=False)
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body_lang = "json"
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except json.JSONDecodeError:
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pass # Keep as text
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elif isinstance(detail.request_body, (dict, list)):
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formatted_body = json.dumps(detail.request_body, indent=2, ensure_ascii=False)
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body_lang = "json"
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except Exception as e:
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logger.warning(f"Error formatting request body for Markdown: {e}")
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markdown_content.append(f"```{body_lang}")
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markdown_content.append(formatted_body)
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markdown_content.append(" ```")
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markdown_content.append("### Response Details")
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markdown_content.append(f"- **Status Code:** `{detail.response_status_code}`")
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markdown_content.append(f"- **Elapsed Time:** `{detail.response_elapsed_time:.4f}s`")
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markdown_content.append("- **Headers:**")
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markdown_content.append("```json")
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markdown_content.append(json.dumps(detail.response_headers, indent=2, ensure_ascii=False))
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markdown_content.append(" ```")
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if detail.response_body is not None:
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markdown_content.append("- **Body:**")
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resp_body_lang = "text"
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formatted_resp_body = str(detail.response_body)
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try:
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# Try to parse as JSON for pretty printing
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if isinstance(detail.response_body, str):
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try:
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# If it's already a string that might be JSON, try parsing and re-dumping
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parsed_json_resp = json.loads(detail.response_body)
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formatted_resp_body = json.dumps(parsed_json_resp, indent=2, ensure_ascii=False)
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resp_body_lang = "json"
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except json.JSONDecodeError:
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# It's a string, but not valid JSON, keep as text
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pass
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elif isinstance(detail.response_body, (dict, list)):
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# It's already a dict/list, dump it as JSON
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formatted_resp_body = json.dumps(detail.response_body, indent=2, ensure_ascii=False)
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resp_body_lang = "json"
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# If it's neither string nor dict/list (e.g. int, bool from parsed json), str() is fine.
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except Exception as e:
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logger.warning(f"Error formatting response body for Markdown: {e}")
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markdown_content.append(f"```{resp_body_lang}")
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markdown_content.append(formatted_resp_body)
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markdown_content.append(" ```")
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markdown_content.append("") # Add a blank line for spacing before next --- or EOF
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markdown_content.append("---") # Separator
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try:
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with open(md_output_file, 'w', encoding='utf-8') as f_md:
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f_md.write("\n".join(markdown_content))
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logger.info(f"API调用详情已保存为 Markdown: {md_output_file}")
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||
except Exception as e:
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logger.error(f"保存API调用详情到 Markdown 文件 {md_output_file} 失败: {e}", exc_info=True)
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||
|
||
# 额外生成 .txt 文件，只包含 cURL 命令
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# txt_output_filename = md_output_file.with_suffix('.txt').name
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# txt_output_file_path = output_dir / txt_output_filename
|
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|
||
# try:
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# with open(txt_output_file_path, 'w', encoding='utf-8') as f_txt:
|
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# for detail in api_call_details:
|
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# f_txt.write(detail.curl_command + '\n')
|
||
# logger.info(f"可直接执行的cURL命令已保存到纯文本文件: {txt_output_file_path}")
|
||
# except Exception as e:
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# logger.error(f"保存cURL命令到文本文件 {txt_output_file_path} 失败: {e}", exc_info=True)
|
||
|
||
def main():
|
||
"""主函数"""
|
||
args = parse_args()
|
||
|
||
if args.verbose:
|
||
logging.getLogger('ddms_compliance_suite').setLevel(logging.DEBUG)
|
||
logger.setLevel(logging.DEBUG)
|
||
logger.debug("已启用详细日志模式")
|
||
|
||
if not args.yapi and not args.swagger:
|
||
logger.error("请提供API定义源：--yapi 或 --swagger")
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||
sys.exit(1)
|
||
|
||
if args.list_categories and args.yapi:
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||
list_yapi_categories(args.yapi)
|
||
sys.exit(0)
|
||
|
||
if args.list_tags and args.swagger:
|
||
list_swagger_tags(args.swagger)
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||
sys.exit(0)
|
||
|
||
categories = args.categories.split(',') if args.categories else None
|
||
tags = args.tags.split(',') if args.tags else None
|
||
|
||
DEFAULT_OUTPUT_DIR = Path("./test_reports")
|
||
output_directory: Path
|
||
main_report_file_path: Path
|
||
|
||
if args.output:
|
||
output_arg_path = Path(args.output)
|
||
if output_arg_path.suffix and output_arg_path.name: # Check if it looks like a file
|
||
output_directory = output_arg_path.parent
|
||
main_report_file_path = output_arg_path
|
||
else:
|
||
output_directory = output_arg_path
|
||
main_report_file_path = output_directory / f"summary.{args.format}"
|
||
else:
|
||
output_directory = DEFAULT_OUTPUT_DIR
|
||
main_report_file_path = output_directory / f"summary.{args.format}"
|
||
|
||
try:
|
||
output_directory.mkdir(parents=True, exist_ok=True)
|
||
logger.info(f"主输出目录设置为: {output_directory.resolve()}")
|
||
except OSError as e:
|
||
logger.error(f"创建主输出目录失败 {output_directory}: {e}")
|
||
sys.exit(1)
|
||
|
||
orchestrator = APITestOrchestrator(
|
||
base_url=args.base_url,
|
||
custom_test_cases_dir=args.custom_test_cases_dir,
|
||
llm_api_key=args.llm_api_key,
|
||
llm_base_url=args.llm_base_url,
|
||
llm_model_name=args.llm_model_name,
|
||
use_llm_for_request_body=args.use_llm_for_request_body,
|
||
use_llm_for_path_params=args.use_llm_for_path_params,
|
||
use_llm_for_query_params=args.use_llm_for_query_params,
|
||
use_llm_for_headers=args.use_llm_for_headers,
|
||
output_dir=str(output_directory),
|
||
stages_dir=args.stages_dir # 将 stages_dir 传递给编排器
|
||
)
|
||
|
||
test_summary: Optional[TestSummary] = None
|
||
parsed_spec_for_scenarios: Optional[ParsedAPISpec] = None # 用于存储已解析的规范，供场景使用
|
||
|
||
try:
|
||
if args.yapi:
|
||
logger.info(f"从YAPI文件运行测试: {args.yapi}")
|
||
# orchestrator.run_tests_from_yapi 现在返回一个元组
|
||
test_summary, parsed_spec_for_scenarios = orchestrator.run_tests_from_yapi(
|
||
yapi_file_path=args.yapi,
|
||
categories=categories,
|
||
custom_test_cases_dir=args.custom_test_cases_dir
|
||
)
|
||
if not parsed_spec_for_scenarios: # 检查解析是否成功
|
||
# orchestrator 内部应该已经记录了具体的解析错误
|
||
logger.error(f"YAPI文件 '{args.yapi}' 解析失败 (由编排器报告)。程序将退出。")
|
||
sys.exit(1)
|
||
|
||
elif args.swagger:
|
||
logger.info(f"从Swagger文件运行测试: {args.swagger}")
|
||
# orchestrator.run_tests_from_swagger 现在返回一个元组
|
||
test_summary, parsed_spec_for_scenarios = orchestrator.run_tests_from_swagger(
|
||
swagger_file_path=args.swagger,
|
||
tags=tags,
|
||
custom_test_cases_dir=args.custom_test_cases_dir
|
||
)
|
||
if not parsed_spec_for_scenarios: # 检查解析是否成功
|
||
logger.error(f"Swagger文件 '{args.swagger}' 解析失败 (由编排器报告)。程序将退出。")
|
||
sys.exit(1)
|
||
# Deliberately not having an else here, as the initial check for yapi/swagger presence handles it.
|
||
# If test_summary remains None here, it implies neither --yapi nor --swagger was processed correctly
|
||
# or an unexpected path was taken, which should be caught by later checks or an error.
|
||
|
||
except Exception as e:
|
||
logger.error(f"执行测试用例时发生意外错误: {e}", exc_info=True)
|
||
sys.exit(1)
|
||
|
||
if test_summary:
|
||
# 在保存单个测试用例结果之后，运行API测试阶段 (如果指定了目录)
|
||
if args.stages_dir and parsed_spec_for_scenarios:
|
||
logger.info(f"开始执行API测试阶段 (Stages)，目录: {args.stages_dir}")
|
||
# 注意：这里假设 test_orchestrator.py 中已经有了 run_stages_from_spec 方法
|
||
# 并且 APITestOrchestrator 的 __init__ 也接受 stages_dir
|
||
orchestrator.run_stages_from_spec( # 调用 run_stages_from_spec
|
||
# stages_dir is managed by orchestrator's __init__
|
||
parsed_spec=parsed_spec_for_scenarios, # 使用之前解析的规范
|
||
summary=test_summary # 将阶段结果添加到同一个摘要对象
|
||
)
|
||
logger.info("API测试阶段 (Stages) 执行完毕。")
|
||
# 阶段执行后，摘要已更新，重新最终确定和打印摘要
|
||
test_summary.finalize_summary() # 重新计算总时长等
|
||
test_summary.print_summary_to_console() # 打印包含阶段结果的更新摘要
|
||
|
||
# 保存主测试摘要 (现在可能包含测试阶段结果)
|
||
save_results(test_summary, str(main_report_file_path), args.format)
|
||
|
||
api_calls_output_path_str: Optional[str] = None
|
||
# 默认文件名现在是 .md
|
||
api_calls_filename: str = "api_call_details.md"
|
||
|
||
if args.api_calls_output:
|
||
api_calls_output_file = Path(args.api_calls_output)
|
||
# 确保后缀是 .md，如果用户提供了其他后缀或没有后缀
|
||
if api_calls_output_file.suffix.lower() not in ['.md', '.markdown']:
|
||
api_calls_output_file = api_calls_output_file.with_suffix('.md')
|
||
logger.info(f"API调用详情输出文件名已调整为 Markdown 格式: {api_calls_output_file.name}")
|
||
|
||
api_calls_output_path_str = str(api_calls_output_file.parent)
|
||
api_calls_filename = api_calls_output_file.name
|
||
logger.info(f"API调用详情将以 Markdown 格式保存到: {api_calls_output_file}")
|
||
elif args.output:
|
||
output_arg_path = Path(args.output)
|
||
if output_arg_path.is_dir():
|
||
api_calls_output_path_str = str(output_arg_path)
|
||
else:
|
||
api_calls_output_path_str = str(output_arg_path.parent)
|
||
logger.info(f"API调用详情将以 Markdown 格式保存到目录 '{api_calls_output_path_str}' (使用默认文件名 '{api_calls_filename}')")
|
||
else:
|
||
api_calls_output_path_str = "."
|
||
logger.info(f"API调用详情将以 Markdown 格式保存到当前目录 '.' (使用默认文件名 '{api_calls_filename}')")
|
||
|
||
# 保存API调用详情
|
||
if orchestrator and api_calls_output_path_str:
|
||
save_api_call_details_to_file(
|
||
orchestrator.get_api_call_details(),
|
||
api_calls_output_path_str,
|
||
filename=api_calls_filename
|
||
)
|
||
|
||
# Improved HTML report summary access
|
||
failed_count = getattr(test_summary, 'endpoints_failed', 0) + getattr(test_summary, 'test_cases_failed', 0)
|
||
error_count = getattr(test_summary, 'endpoints_error', 0) + getattr(test_summary, 'test_cases_error', 0)
|
||
|
||
if failed_count > 0 or error_count > 0:
|
||
logger.info("部分测试失败或出错，请检查报告。")
|
||
# sys.exit(1) # Keep this commented if a report is always desired regardless of outcome
|
||
else:
|
||
logger.info("所有测试完成。")
|
||
else:
|
||
logger.error("未能生成测试摘要。")
|
||
sys.exit(1)
|
||
|
||
sys.exit(0)
|
||
|
||
if __name__ == '__main__':
|
||
main()
|
||
|
||
# python run_api_tests.py --base-url http://127.0.0.1:4523/m1/6389742-6086420-default --swagger assets/doc/井筒API示例swagger.json --custom-test-cases-dir ./custom_testcases \
|
||
# --verbose \
|
||
# --output test_report.json
|
||
|
||
# python run_api_tests.py --base-url https://127.0.0.1:4523/m1/6389742-6086420-default --yapi assets/doc/井筒API示例_simple.json --custom-test-cases-dir ./custom_testcases \
|
||
# --verbose \
|
||
# --output test_report.json
|
||
|
||
# 示例：同时运行测试用例和场景
|
||
# python run_api_tests.py --base-url http://127.0.0.1:8000 --swagger ./assets/doc/petstore_swagger.json --custom-test-cases-dir ./custom_testcases --stages-dir ./custom_stages -v -o reports/ |