예제 #1
0
 def read_config(cls, expr: str = '.') -> dict:
     """
     默认读取config目录下config.yaml配置文件,根据传递的expr jsonpath表达式可任意返回配置项
     :param expr: 提取表达式,使用jsonpath语法,默认值提取整个读取的对象
     :return: 根据表达式返回的值
     """
     return extractor(cls.get_config_dict(), expr)
예제 #2
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 def assert_result(cls, response: dict, expect_str: str):
     """ 预期结果实际结果断言方法
     :param response: 实际响应字典
     :param expect_str: 预期响应内容,从excel中读取
     return None
     """
     expect_dict = convert_json(expect_str)
     index = 0
     for k, v in expect_dict.items():
         actual = extractor(response, k)
         index += 1
         logger.info(
             f'第{index}个断言,实际结果:{actual} | 预期结果:{v} \n断言结果 {actual == v}')
         allure_step(f'第{index}个断言', f'实际结果:{actual} = 预期结果:{v}')
         assert actual == v
예제 #3
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class BaseRequest(object):
    session = None

    @classmethod
    def get_session(cls):
        if cls.session is None:
            cls.session = requests.Session()
        return cls.session

    @classmethod
    def send_request(cls, case: list, env: str = 'dev') -> object:
        """处理case数据,转换成可用数据发送请求
        :param case: 读取出来的每一行用例内容,可进行解包
        :param env: 环境名称 默认使用config.yaml server下的 dev 后面的基准地址
        return: 响应结果, 预期结果
        """
        case_number, case_title, path, token, method, parametric_key, file_obj, data, sql, expect, is_save = case
        logger.debug(
            f"用例进行处理前数据: \n 接口路径: {path} \n 请求参数: {data} \n 后置sql: {sql} \n 预期结果: {expect} \n 保存响应: {is_save}"
        )
        # allure报告 用例标题
        allure_title(case_title)
        # 处理url、header、data、file、的前置方法
        url = ReadFile.read_config(
            f'$.server.{env}') + DataProcess.handle_path(path)
        allure_step('请求地址', url)
        header = DataProcess.handle_header(token)
        allure_step('请求头', header)
        data = DataProcess.handle_data(data)
        allure_step('请求参数', data)
        file = DataProcess.handler_files(file_obj)
        allure_step('上传文件', file_obj)
        # 发送请求
        res = cls.send_api(url, method, parametric_key, header, data, file)
        allure_step('响应耗时(s)', res.elapsed.total_seconds())
        allure_step('响应内容', res.json())
        # 响应后操作
        if token == '写':
            DataProcess.have_token['Authorization'] = extractor(
                res.json(), ReadFile.read_config('$.expr.token'))
            allure_step('请求头中添加Token', DataProcess.have_token)
        # 保存用例的实际响应
        if is_save == "是":
            DataProcess.save_response(case_number, res.json())
        allure_step('存储实际响应', DataProcess.response_dict)
        return res.json(), expect, sql
예제 #4
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 def assert_result(cls, response: dict, expect_str: str):
     """ 预期结果实际结果断言方法
     :param response: 实际响应结果
     :param expect_str: 预期响应内容,从excel中读取
     return None
     """
     # 后置sql变量转换
     expect_str = rep_expr(expect_str, DataProcess.response_dict)
     expect_dict = convert_json(expect_str)
     index = 0
     for k, v in expect_dict.items():
         # 获取需要断言的实际结果部分
         actual = extractor(response, k)
         index += 1
         logger.info(
             f'第{index}个断言,实际结果:{actual} | 预期结果:{v} \n断言结果 {actual == v}')
         allure_step(f'第{index}个断言', f'实际结果:{actual} = 预期结果:{v}')
         try:
             assert actual == v
         except AssertionError:
             raise AssertionError(f'断言失败 -|- 实际结果:{actual} || 预期结果: {v}')
예제 #5
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import tools


tools.logger('predictor.log')


data4work = tools.extractor('predictor.log')

true_slice_list = tools.true_slicer(data4work)

true_chunks = tools.true_chunker(data4work)
false_chunks = tools.false_chunker(data4work)

for true_slice in true_slice_list:
    for chunk in true_slice.copy():
        if chunk in false_chunks:
            true_slice.remove(chunk)
            true_chunks.remove(chunk)


print(tools.find_intersection(true_slice_list))