就是数据的改变从而驱动自动化测试的执行,最终引起测试结果的改变。说的直白些,就是参数化的应用
# 导入ddt库下所有内容
from ddt import *
# 在测试类前必须首先声明使用 ddt
@ddt
class imoocTest(unittest.TestCase):
# int
@data(1, 2, 3, 4)
def test_int(self, i):
print("test_int:", i)
# str
@data("1", "2", "3")
def test_str(self, str):
print("test_str:", str)
test_int: 1
test_int: 2
test_int: 3
test_int: 4
test_str: 1
test_str: 2
test_str: 3
想使用DDT首先要在单元测试类上面加上 @ddt
from ddt import *
# 在测试类前必须首先声明使用 ddt
@ddt
class imoocTest(unittest.TestCase):
tuples = ((1, 2, 3), (1, 2, 3))
lists = [[1, 2, 3], [1, 2, 3]]
# 元组
@data((1, 2, 3), (1, 2, 3))
def test_tuple(self, n):
print("test_tuple", n)
# 列表
@data([1, 2, 3], [1, 2, 3])
@unpack
def test_list(self, n1, n2, n3):
print("test_list", n1, n2, n3)
# 元组2
@data(*tuples)
def test_tuples(self, n):
print("test_tuples", n)
# 列表2
@data(*lists)
@unpack
def test_lists(self, n1, n2, n3):
print("test_lists", n1, n2, n3)
# 字典
@data({'value1': 1, 'value2': 2}, {'value1': 1, 'value2': 2})
@unpack
def test_dict(self, value1, value2):
print("test_dict", value1, value2)
test_dict 1 2
test_dict 1 2
test_list 1 2 3
test_list 1 2 3
test_lists 1 2 3
test_lists 1 2 3
test_tuple (1, 2, 3)
test_tuple (1, 2, 3)
test_tuples (1, 2, 3)
test_tuples (1, 2, 3)
@unpack
{
"first": [
{
"isRememberMe": "True",
"password": "111111",
"username": "root"
},
"200"
],
"second": [
"{'isRememberMe': True, 'password': '1111111', 'username': 'root'}",
"406"
],
"third": [
1,
2
],
"four": "123123"
}
from ddt import *
# 在测试类前必须首先声明使用 ddt
@ddt
class imoocTest(unittest.TestCase):
@file_data('F:/test/config/testddt.json')
def test_json(self, data):
print(data)
[{'isRememberMe': 'True', 'password': '111111', 'username': 'root'}, '200']
["{'isRememberMe': True, 'password': '1111111', 'username': 'root'}", '406']
[1, 2, 3, 4]
123123
unsorted_list:
- 10
- 15
- 12
sorted_list: [ 15, 12, 50 ]
from ddt import *
# 在测试类前必须首先声明使用 ddt
@ddt
class imoocTest(unittest.TestCase):
@file_data('F:/test/config/testddt.yaml')
def test4(self, data):
print("yaml", data)
yaml [10, 15, 12]
yaml [15, 12, 50]