pytest的配置相关流程包含日志功能：

1.把软件开发规范的相关目录建立起来

2.配置pytest.ini

[pytest]
addopts = -s -v
testpaths = ./scripts
python_files = test_*.py
python_classes = Test*
python_functions = test_*

3.创建入口文件run.py

if __name__ == '__main__':
    import pytest
    pytest.main()

4.创建用例脚本文件

import pytest
from utils.ExcelHandler import Excel
from utils.LogHandler import logger

@pytest.mark.parametrize("d", Excel().get_excel_data())
def test_case(d):
    print(d)
    logger().info(d)
    assert 1

5.调通它们

#参数化
1.使用参数化
2.获取Excel表格数据

import xlrd
from conf import settings
from utils.LogHandler import logger

class Excel(object):
    def get_excel_data(self):
        """获取excel表格数据"""
        logger().info("读取Excel表格{} {}".format(settings.file_name,settings.file_path))
        book = xlrd.open_workbook(filename=settings.file_path)
        sheet = book.sheet_by_index(0)
        # print(sheet.nrows)  #8
        title = sheet.row_values(0)
        l = []
        for row in range(1, sheet.nrows):
            # print(sheet.row_values(row))
            l.append(dict(zip(title, sheet.row_values(row))))
        # print(l)
        return l

if __name__ == '__main__':
    Excel().get_excel_data()

#配置日志信息记录相关

import logging
from conf import settings

class LoggerHandler:
    """ 日志操作 """
    _logger_level = {
        'debug': logging.DEBUG,
        'info': logging.INFO,
        'warning': logging.WARNING,
        'error': logging.ERROR,
        'critical': logging.CRITICAL
    }
    def __init__(self, log_name, file_name, logger_level, stream_level='info', file_level='warning'):
        self.log_name = log_name
        self.file_name = file_name
        self.logger_level = self._logger_level.get(logger_level, 'debug')
        self.stream_level = self._logger_level.get(stream_level, 'info')
        self.file_level = self._logger_level.get(file_level, 'warning')
        # 创建日志对象
        self.logger = logging.getLogger(self.log_name)
        # 设置日志级别
        self.logger.setLevel(self.logger_level)
        if not self.logger.handlers:
            # 设置日志输出流
            f_stream = logging.StreamHandler()
            f_file = logging.FileHandler(self.file_name)
            # 设置输出流级别
            f_stream.setLevel(self.stream_level)
            f_file.setLevel(self.file_level)
            # 设置日志输出格式
            formatter = logging.Formatter(
                "%(asctime)s %(name)s %(levelname)s %(message)s"
            )
            f_stream.setFormatter(formatter)
            f_file.setFormatter(formatter)
            self.logger.addHandler(f_stream)
            self.logger.addHandler(f_file)
    @property
    def get_logger(self):
        """伪装成属性返回logger对象"""
        return self.logger

def logger(log_name='接口测试'):
    return LoggerHandler(
        log_name=log_name,
        logger_level=settings.LOG_LEVEL,
        file_name=settings.LOG_FILE_NAME,
        stream_level=settings.LOG_STREAM_LEVEL,
        file_level=settings.LOG_FILE_LEVEL
    ).get_logger

if __name__ == '__main__':
    logger().debug('aaaa')
    logger().info('aaaa')
    logger().warning('aaaa')

#请求相关
1.从参数中获取相关数据发请求
2.做断言
3.断言结果返回

#生成测试报告

#将allure测试报告打包

#将压缩包fayd