floraachy
138 lines
6.2 KiB
Python
138 lines
6.2 KiB
Python
# -*- coding: utf-8 -*-
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# @Time : 2023/5/19 11:46
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# @Author : chenyinhua
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# @File : get_results_handle.py
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# @Software: PyCharm
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# @Desc: 从测试报告中获取测试结果
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import os
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from common_utils.bs4_handle import SoupAPI
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import json
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from common_utils.time_handle import timestamp_strftime
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from loguru import logger
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def get_test_results_from_pytest_html_report(html_report_path):
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"""
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通过BeautifulSoup4解析pytest-html生成的html报告，获取测试结果及测试情况
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:param html_report_path: pytest-html测试报告的绝对路径
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"""
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try:
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bs = SoupAPI(html_report_path)
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test_results = {}
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# -------------- 获取测试环境信息 --------------
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environment_info = bs.get_element_by_id("environment").get_text()
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new_environment_info = [element for element in environment_info.split("\n") if element != '']
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info_mapping = {
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"Platform": "platform",
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"Python": "python_version",
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"开始时间": "start_time",
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"项目名称": "project_name",
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"项目环境": "run_env"
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}
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for key, value in enumerate(new_environment_info):
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if value in info_mapping:
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test_results[info_mapping[value]] = new_environment_info[key + 1]
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# -------------- 获取测试人员，所属部门，测试用例总数，运行时长 --------------
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p_elements = bs.get_elements_by_tag("p")
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for p_element in p_elements:
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res = p_element.get_text()
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if "测试人员：" in res:
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test_results['tester'] = res.replace("测试人员：", "")
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if "所属部门: " in res:
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test_results['department'] = res.replace("所属部门: ", "")
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if "tests ran" in res:
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new_list = res.split(" ")
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test_results['run_time'] = f"{new_list[4]} 秒"
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# -------------- 获取具体结果 --------------
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result_mapping = {
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'passed': 'span.passed', # 通过的用例个数
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'skipped': 'span.skipped', # 跳过的用例个数
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'failed': 'span.failed', # 失败的用例个数
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'broken': 'span.error', # 错误的用例个数
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'xfailed': 'span.xfailed', # 预期失败的用例个数
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'xpassed': 'span.xpassed', # 意外通过的用例个数
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'rerun': 'span.rerun' # 重跑的用例个数
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}
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for key, value in result_mapping.items():
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result_element = bs.select_element(value)[0]
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test_results[key] = int(result_element.get_text().split(" ")[0])
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# 用例总数
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test_results['total'] = test_results["passed"] + test_results["skipped"] + test_results["failed"] + \
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test_results["broken"] + test_results["xfailed"] + test_results["xpassed"]
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# 通过率
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# 判断运行用例总数大于0
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if test_results['total'] > 0:
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# 计算用例成功率
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test_results["pass_rate"] = round(
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(test_results["passed"] + test_results["skipped"]) / test_results["total"] * 100, 2
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)
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else:
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# 如果未运行用例，则成功率为 0.0
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test_results["pass_rate"] = 0.0
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logger.debug(f"获取到的测试结果：{test_results}")
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return test_results
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except FileNotFoundError as e:
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logger.error(f"程序中检查到您未生成pytest-html报告，通常可能导致的原因是pytest-html环境未配置正确，{e}")
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raise FileNotFoundError(
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"程序中检查到您未生成pytest-html报告，"
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"通常可能导致的原因是pytest-html环境未配置正确，"
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) from e
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def get_test_results_from_from_allure_report(allure_html_path):
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"""
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从allure生成的html报告的summary.json中，获取测试结果及测试情况
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:param allure_html_path: allure生成的html报告的绝对路径
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"""
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try:
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summary_json_path = os.path.join(allure_html_path, "widgets", "summary.json")
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with open(summary_json_path, 'r', encoding='utf-8') as file:
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data = json.load(file)
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case_count = data['statistic']
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_time = data['time']
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logger.debug(f"获取到的data是：{data}")
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logger.debug(f"获取到的_time是：{data['time']}")
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logger.debug(f"获取到的start是：{_time['start']}")
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keep_keys = {"passed", "failed", "broken", "skipped", "total"}
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test_results = {k: v for k, v in data['statistic'].items() if k in keep_keys}
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# 判断运行用例总数大于0
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if case_count["total"] > 0:
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# 计算用例成功率
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test_results["pass_rate"] = round(
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(case_count["passed"] + case_count["skipped"]) / case_count["total"] * 100, 2
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)
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else:
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# 如果未运行用例，则成功率为 0.0
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test_results["pass_rate"] = 0.0
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# 收集用例运行时长
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test_results['run_time'] = _time if test_results['total'] == 0 else round(_time['duration'] / 1000, 2)
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test_results["start_time"] = timestamp_strftime(_time["start"])
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test_results["stop_time"] = timestamp_strftime(_time["stop"])
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# 收集重试次数
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retry_trend_json_path = os.path.join(allure_html_path, "widgets", "retry-trend.json")
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with open(retry_trend_json_path, 'r', encoding='utf-8') as file:
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retry_data = json.load(file)
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test_results["rerun"] = retry_data[0]["data"]["retry"]
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# 项目环境
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env_json_path = os.path.join(allure_html_path, "widgets", "environment.json")
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with open(env_json_path, 'r', encoding='utf-8') as file:
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env_data = json.load(file)
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for data in env_data:
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test_results[data['name']] = data["values"][0]
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logger.debug(f"获取到的测试结果：{test_results}")
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return test_results
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except FileNotFoundError as e:
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logger.error(f"程序中检查到您未生成allure报告，通常可能导致的原因是allure环境未配置正确，{e}")
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raise FileNotFoundError(
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"程序中检查到您未生成allure报告，"
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"通常可能导致的原因是allure环境未配置正确，"
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) from e
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