我有一些测试数据,想为每个项目创建一个单元测试。我的第一个想法是这样做的:

import unittest

l = [["foo", "a", "a",], ["bar", "a", "b"], ["lee", "b", "b"]]

class TestSequence(unittest.TestCase):
    def testsample(self):
        for name, a,b in l:
            print "test", name
            self.assertEqual(a,b)

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

这样做的缺点是它在一个测试中处理所有数据。我想在飞行中为每个项目生成一个测试。有什么建议吗?


当前回答

import unittest

def generator(test_class, a, b,c,d,name):
    def test(self):
        print('Testexecution=',name)
        print('a=',a)
        print('b=',b)
        print('c=',c)
        print('d=',d)

    return test

def add_test_methods(test_class):
    test_list = [[3,3,5,6, 'one'], [5,5,8,9, 'two'], [0,0,5,6, 'three'],[0,0,2,3,'Four']]
    for case in test_list:
        print('case=',case[0], case[1],case[2],case[3],case[4])
        test = generator(test_class, case[0], case[1],case[2],case[3],case[4])
        setattr(test_class, "test_%s" % case[4], test)


class TestAuto(unittest.TestCase):
    def setUp(self):
        print ('Setup')
        pass

    def tearDown(self):
        print ('TearDown')
        pass

add_test_methods(TestAuto)

if __name__ == '__main__':
    unittest.main(verbosity=1)

其他回答

这可以使用元类优雅地解决:

import unittest

l = [["foo", "a", "a",], ["bar", "a", "b"], ["lee", "b", "b"]]

class TestSequenceMeta(type):
    def __new__(mcs, name, bases, dict):

        def gen_test(a, b):
            def test(self):
                self.assertEqual(a, b)
            return test

        for tname, a, b in l:
            test_name = "test_%s" % tname
            dict[test_name] = gen_test(a,b)
        return type.__new__(mcs, name, bases, dict)

class TestSequence(unittest.TestCase):
    __metaclass__ = TestSequenceMeta

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

这个解决方案适用于Python 2和Python 3的unittest和nose:

#!/usr/bin/env python
import unittest

def make_function(description, a, b):
    def ghost(self):
        self.assertEqual(a, b, description)
    print(description)
    ghost.__name__ = 'test_{0}'.format(description)
    return ghost


class TestsContainer(unittest.TestCase):
    pass

testsmap = {
    'foo': [1, 1],
    'bar': [1, 2],
    'baz': [5, 5]}

def generator():
    for name, params in testsmap.iteritems():
        test_func = make_function(name, params[0], params[1])
        setattr(TestsContainer, 'test_{0}'.format(name), test_func)

generator()

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

您将从尝试testscenario库中受益。

testscenes为python unittest风格的测试提供了干净的依赖注入。这可以用于接口测试(通过单个测试套件测试许多实现)或经典的依赖项注入(在测试代码本身的外部提供依赖项测试,允许在不同情况下轻松测试)。

这可以通过使用pytest来完成。只需要编写test_me.py文件的内容:

import pytest

@pytest.mark.parametrize('name, left, right', [['foo', 'a', 'a'],
                                               ['bar', 'a', 'b'],
                                               ['baz', 'b', 'b']])
def test_me(name, left, right):
    assert left == right, name

并使用py命令运行测试。Test——tb=短test_me.py。然后输出如下所示:

=========================== test session starts ============================
platform darwin -- Python 2.7.6 -- py-1.4.23 -- pytest-2.6.1
collected 3 items

test_me.py .F.

================================= FAILURES =================================
_____________________________ test_me[bar-a-b] _____________________________
test_me.py:8: in test_me
    assert left == right, name
E   AssertionError: bar
==================== 1 failed, 2 passed in 0.01 seconds ====================

这很简单!此外,pytest还有更多的功能,如fixture、标记、断言等。

我使用元类和装饰器来生成测试。您可以检查我的实现python_wrap_cases。这个库不需要任何测试框架。

你的例子:

import unittest
from python_wrap_cases import wrap_case


@wrap_case
class TestSequence(unittest.TestCase):

    @wrap_case("foo", "a", "a")
    @wrap_case("bar", "a", "b")
    @wrap_case("lee", "b", "b")
    def testsample(self, name, a, b):
        print "test", name
        self.assertEqual(a, b)

控制台输出:

testsample_u'bar'_u'a'_u'b' (tests.example.test_stackoverflow.TestSequence) ... test bar
FAIL
testsample_u'foo'_u'a'_u'a' (tests.example.test_stackoverflow.TestSequence) ... test foo
ok
testsample_u'lee'_u'b'_u'b' (tests.example.test_stackoverflow.TestSequence) ... test lee
ok

你也可以使用发电机。例如,这段代码用参数a__list和b__list生成所有可能的测试组合

import unittest
from python_wrap_cases import wrap_case


@wrap_case
class TestSequence(unittest.TestCase):

    @wrap_case(a__list=["a", "b"], b__list=["a", "b"])
    def testsample(self, a, b):
        self.assertEqual(a, b)

控制台输出:

testsample_a(u'a')_b(u'a') (tests.example.test_stackoverflow.TestSequence) ... ok
testsample_a(u'a')_b(u'b') (tests.example.test_stackoverflow.TestSequence) ... FAIL
testsample_a(u'b')_b(u'a') (tests.example.test_stackoverflow.TestSequence) ... FAIL
testsample_a(u'b')_b(u'b') (tests.example.test_stackoverflow.TestSequence) ... ok