python学习测试和调试
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最近学习了python的错误处理
和几种测试
方法
1 try except
可以通过try except
方式捕捉异常
try: print(‘try...‘) r = 10/0 print(‘result is :‘, r) except ZeroDiversionError as e: print(‘except is :‘, e) finally: print(‘finally ...‘) print(‘END‘)
可以捕捉不同类型的错误,编写多个except
try: print(‘try...‘) r = 10/int(‘a‘) print(‘result is: ‘, r) except ValueError as e: print(‘ValueError : ‘, e) except ZeroDiversionError as e: print(‘ZeroDivisionError is : ‘, e) finally: print(‘finally ...‘) print(‘END‘)
try except同样支持else结构
try: print(‘try... ‘) r = 10/int(‘2‘) print(‘result is : ‘, r) except ValueError as e: print(‘ValueError : ‘, e) except ZeroDivisionError as e: print(‘ZeroDivisionError is : ‘, e) else: print(‘no error‘) finally: print(‘finally ...‘) print(‘END‘)
某个函数调用出现异常,在上层同样可以捕获到
def foo(s): return 10/int(s) def bar(s): return foo(s) * 2 def main(): try: bar(‘0‘) except Exception as e: print(‘Exception is : ‘, e) finally: print(‘finally...‘) main()
2 logging
python 提供打日志方式输出异常,并且不会因为出现异常导致程序中断
import logging def foo(s): return 10/int(s) def bar(s): return foo(s) * 2 def main(): try: bar(‘0‘) except Exception as e: logging.exception(e) main() print(‘END‘)
如果想要将异常处理的更细致,可以自定义一个异常类,继承于几种错误类,如ValueError等,在可能出现问题的地方将错误抛出来
class FooError(ValueError): pass def foo(s): n = int(s) if n == 0: raise FooError(‘invalid error is : %s‘ %s) return 10/n foo(‘0‘)
错误可以一层一层向上抛,直到有上层能处理这个错误为止
def foo(s): n = int(s) if n==0: raise ValueError(‘invalid error is: %s‘ %s) return 10/n def bar(): try: foo(‘0‘) except ValueError as e: print(‘ValueError‘) raise bar()
logging可以设置不同的级别,通过basicConfig可以设置
import logging logging.basicConfig(level=logging.INFO) def foo(s): n = int(s) return 10/n def main(): m = foo(‘0‘) logging.info(‘n is : %d‘ %m) main()
3 断言assert
大部分语言都支持assert,python也一样,在可能出错的地方写assert,会在异常出现时使程序终止
def foo(s): n = int(s) assert n != 0 ,‘n is zero‘ return 10/n def main(): foo(‘0‘) main()
4 pdb调试和set_trace
pdb调试用 python -m pdb 文件名.py, 单步执行敲n,退出为q
python 可以在代码里设置断点,在程序自动执行到断点位置暂停,暂停在set_trace
的代码行
import pdb def foo(s): n = int(s) pdb.set_trace() return 10/n def main(): m = foo(‘0‘) main()
5 单元测试
先实现一个自己定义的Dict类,将文件保存为mydict.py
class Dict(dict): def __init__(self, **kw): super(Dict, self).__init__(**kw) def __getattr__(self, key): try: return self[key] except Exception as e: raise AttributeError(‘AttributeError is :%s‘, e) def __setattr__(self, key, value): self[key] = value
python 提供了单元测试的类,开发者可以继承unittest.Test
实现特定的测试类,下面实现Dict的单元测试类,保存为unittestdict.py
import unittest from mydict import Dict class TestDict(unittest.TestCase): def setUp(self): print(‘setUp...‘) def tearDown(self): print(‘tear Down...‘) def test_init(self): d = Dict(a=‘testa‘, b = 1) self.assertEqual(d.a, ‘testa‘) self.assertEqual(d.b, 1) self.assertTrue(isinstance(d, dict)) def test_key(self): d = Dict() d[‘name‘] = ‘hmm‘ self.assertEqual(d.name, ‘hmm‘) def test_attr(self): d = Dict() d.name = ‘hmm‘ self.assertEqual(d[‘name‘], ‘hmm‘) self.assertTrue(‘name‘ in d) def test_attrerror(self): d = Dict() with self.assertRaises(AttributeError): value = d.empty def test_keyerror(self): d = Dict() with self.assertRaises(AttributeError): value = d[‘empty‘] if __name__ == ‘__main__‘: unittest.main()
运行unittest.py可以检测mydict中Dict类是否有错误
6 文档测试
文档测试在代码中按照特定格式编写python输入和期待的输出,通过python提供的文档测试类,实现测试代码的目的
class Dict(dict): ‘‘‘ >>> d1 = Dict() >>> d1[‘x‘] = 100 >>> d1.x 100 >>> d1.y = 200 >>> d1[‘y‘] 200 >>> d2=Dict(a=1,b=2,c=‘m‘) >>> d2.c ‘m‘ ‘‘‘ def __init__(self, **kw): super(Dict,self).__init__(**kw) def __getattr__(self,key): try: return self[key] except KeyError: raise AttributeError(‘AttributeError key is %s‘ %key) def __setattr__(self,key,value): self[key] = value if __name__ == ‘__main__‘: import doctest doctest.testmod()
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