python中unittest单元测试框架使用ddt实现数据驱动-ddt、data、unpack使用简介

import unittest
from ddt import ddt, data, unpack


@ddt
class TestAdd(unittest.TestCase):
    @data(*[[1, 2, 3], [4, 5, 9]])
    # data装饰方法,和for循环一样,变量列表中每个数据,然后传递给被装饰的方法的一个参数
    # 有几条数据,就执行几次用例
    # 第一次遍历[1,2,3],第二次遍历[4,5,9]
    def test_demo1(self, data):
        res = data[0] + data[1]
        expected = data[2]
        try:
            self.assertEqual(expected, res)
        except AssertionError as e:
            raise e

    @data(*[{‘a‘: 0, ‘b‘: 0, ‘expected‘: 0}, {‘a‘: 1, ‘b‘: 1, ‘expected‘: 2}])
    def test_demo2(self, data):
        res = data[‘a‘] + data[‘b‘]
        expected = data[‘expected‘]
        try:
            self.assertEqual(expected, res)
        except AssertionError as e:
            raise e

    @data(*[[10, 20, 30], [40, 50, 90]])
    @unpack
    # 加unpack 根据逗号来进行拆分，变成了3个参数---测试方法要用3个参数来进行接收
    def test_demo3(self, a, b, expected):
        res = a + b
        try:
            self.assertEqual(expected, res)
        except AssertionError as e:
            raise e

    @data(*[{‘a‘: 0, ‘b‘: 0, ‘expected‘: 0}, {‘a‘: 1, ‘b‘: 1, ‘expected‘: 2}])
    @unpack
    # 如果是字典的话 要用他的key作为参数来进行数据接收
    def test_demo4(self, a, b, expected):
        res = a + b
        try:
            self.assertEqual(expected, res)
        except AssertionError as e:
            raise e