python ddt 实现数据驱动一

ddt 是第三方模块,需安装, pip install ddt

DDT包含类的装饰器ddt和两个方法装饰器data(直接输入测试数据)

通常情况下,data中的数据按照一个参数传递给测试用例,如果data中含有多个数据,以元组,列表,字典等数据,需要自行在脚本中对数据进行分解或者使用unpack分解数据。

@data(a,b)

那么a和b各运行一次用例

 

@data([a,d],[c,d])

如果没有@unpack,那么[a,b]当成一个参数传入用例运行

如果有@unpack,那么[a,b]被分解开,按照用例中的两个参数传递

 

具体看下面的例子:

import unittest
from ddt import ddt,data,unpack

@ddt
class MyTesting(unittest.TestCase):
    def setUp(self):
        print('this is the setUp')
    @data([1,2,3])
    def test_1(self,value):
        print(value)

    @data([3,2,1],[5,3,2],[10,4,6])
    @unpack
    def test_minus(self,a,b,expected):
        actual = int(a) - int(b)
        expected = int(expected)
        self.assertEqual(actual, expected)

    @data([2,3],[4,5])
    def test_compare(self,a,b):
        self.assertEqual(a,b)

    def tearDown(self):
        print('this is tearDown')

if __name__ == '__main__':
    unittest.main(verbosity=2)

结果分析:

1. test_1的测试结果是ok的, 因为 [1,2,3] 作为一个整体传给value,所有value 打印的值是[1,2,3]

test_1_1__1__2__3_ (__main__.MyTesting) ... ok
test_compare_1__2__3_ (__main__.MyTesting) ... ERROR
[1, 2, 3]

2. test_minus的测试结果也是ok的,由于在@data(…)下加了@unpack, 代表会把数据分解,得到3组测试数据,分别为:

1.[3,2,1]
2.[5,3,2]
3.[10,4,6]
test_minus_1__3__2__1_ (__main__.MyTesting) ... ok
test_minus_2__5__3__2_ (__main__.MyTesting) ... ok
test_minus_3__10__4__6_ (__main__.MyTesting) ... ok

3. test_compare的测试结果是fail的,由于没有加@unpack, 虽然还是会被理解成2组测试数据,但是[2,3]作为一个整体被传给了a, 因为b就没有值传入了,所以一执行后报了  TypeError: test_compare() missing 1 required positional argument: ‘b’  这句错。

test_compare_1__2__3_ (__main__.MyTesting) ... ERROR
test_compare_2__4__5_ (__main__.MyTesting) ... ERROR
this is the setUp
ERROR: test_compare_1__2__3_ (__main__.MyTesting)
this is tearDown
----------------------------------------------------------------------
Traceback (most recent call last):
  File "D:\python\lib\site-packages\ddt.py", line 139, in wrapper
    return func(self, *args, **kwargs)
TypeError: test_compare() missing 1 required positional argument: 'b'

======================================================================
ERROR: test_compare_2__4__5_ (__main__.MyTesting)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "D:\python\lib\site-packages\ddt.py", line 139, in wrapper
    return func(self, *args, **kwargs)
TypeError: test_compare() missing 1 required positional argument: 'b'

 

@data()里的数据组可以为元祖,list,字典

 

@ddt
class MyTest(unittest.TestCase):

    @data((8, 6), (4, 0), (15, 6))
    @unpack
    def test_tuples(self, first, second):
        self.assertTrue(first > second)

    @data([30, 29], [40, 30], [5, 3])
    @unpack
    def test_list(self, first, second):
        self.assertTrue(first > second)


    @data({'first': 1, 'second': 3, 'third': 5},
          {'first': 4, 'second': 7, 'third': 8})
    @unpack
    def test_dicts(self, first, second, third):
        self.assertTrue(first < second < third)


if __name__ == '__main__':
    unittest.main(verbosity=2)
def get_Csv(filename):
    rows = []
    with open(filename,encoding='utf-8') as f:
        readers = csv.reader(f)
        for row in readers:
            rows.append(row)
    return rows

@ddt
class MyTest(unittest.TestCase):

    @data(*get_Csv('test_csv.csv'))
    @unpack
    def test_data_csv(self,v1,v2,v3):
        print(v1)
        print(v2)
        print(v3)

 

以上就是ddt 的学习总结,ddt 还有file_data(可以从json或者yaml中获取测试数据)的驱动方式,下篇继续啦。

 

    原文作者:nancy05
    原文地址: https://www.cnblogs.com/nancyzhu/p/8563884.html
    本文转自网络文章,转载此文章仅为分享知识,如有侵权,请联系博主进行删除。
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