（六）pytest-参数化

1、参数化
json文件

[
  [
    2,
    1,
    3
  ],
  [
    2,
    5,
    3
  ]
]

yaml文件

- - 2
  - 1
  - 3
- - 2
  - 5
  - 3

import json
import logging
import os

import pytest
import yaml


class Test_B:

    # argvalues为string
    @pytest.mark.smoke  #标记用例为冒烟测试用例
    @pytest.mark.parametrize("a,b,c", [(1, 1, 2), (1000, 1000, 2000), (-1, -1, -1)])
    def test_add_004(self, a, b, c):
        logging.info("4")
        assert self.calc.add(self, a, b) == c

    # argvalues为tumple
    @pytest.mark.skip   #标记不需要执行的测试用例
    @pytest.mark.parametrize(("a","b","c"), [(1, 1, 2), (1000, 1000, 2000), (-1, -1, -1)])
    def test_add_004_1(self, a, b, c):
        logging.info("4_1")
        assert self.calc.add(self, a, b) == c

    # argvalues为list
    @pytest.mark.skipif  #标记不需要执行的测试用例
    @pytest.mark.parametrize(["a", "b", "c"], [(1, 1, 2), (1000, 1000, 2000), (-1, -1, -1)])
    def test_add_004_2(self, a, b, c):
        logging.info("4_2")
        assert self.calc.add(self, a, b) == c

    #在json中获取数据
    @pytest.mark.xfail  #标记预期会失败的用例
    @pytest.mark.parametrize("a, b, c", json.load(open("./calc.json")))
    def test_add_005(self, a, b, c):
        logging.info("5")
        # print(os.getcwd() + "/calc.json")
        assert a+b == c

    #在yaml中获取数据
    @pytest.mark.parametrize("a, b, c", yaml.load(open("./calc.yaml"),Loader=yaml.FullLoader))
    def test_add_006(self,a, b, c):
        logging.info("6")
        # print(os.getcwd()+"/calc.yaml")
        assert a+b == c

if __name__ == '__main__':
    pytest.main(["-q", "--log-level=INFO", "-s", "test_mark.py"])

2、可能出现的问题：
（1）YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated...
解决方案：data = yaml.load(file_data, Loader=yaml.FullLoader)

（2）不打印logging日志
解决方案：--log-level=INFO

（3）json/yaml文件：
通过命令行生成allure测试报告,需要加上测试用例所在的路径

（4）yaml文件需要安装pyaml