我的目标是创建一个简单的单元测试装饰器,它执行一个函数,如果成功,什么也不做,如果没有,打印“FAILURE”及其所有参数。我知道内置unittest
包。我这样做是为了学习装饰器。我不是把它比“如果实际等于预期,什么也不做,否则打印参数”更远。
我发现this function打印出所有函数的参数:
def dumpArgs(func):
'''Decorator to print function call details - parameters names and effective values'''
def wrapper(*func_args, **func_kwargs):
arg_names = func.__code__.co_varnames[:func.__code__.co_argcount]
args = func_args[:len(arg_names)]
defaults = func.__defaults__ or ()
args = args + defaults[len(defaults) - (func.__code__.co_argcount - len(args)):]
params = list(zip(arg_names, args))
args = func_args[len(arg_names):]
if args: params.append(('args', args))
if func_kwargs: params.append(('kwargs', func_kwargs))
print(func.__name__ + ' (' + ', '.join('%s = %r' % p for p in params) + ' )')
return func(*func_args, **func_kwargs)
return wrapper
@dumpArgs
def test(a, b = 4, c = 'blah-blah', *args, **kwargs):
pass
test(1)
test(1, 3)
test(1, d = 5)
test(1, 2, 3, 4, 5, d = 6, g = 12.9)
输出:
test (a = 1, b = 4, c = 'blah-blah' )
test (a = 1, b = 3, c = 'blah-blah' )
test (a = 1, b = 4, c = 'blah-blah', kwargs = {'d': 5} )
test (a = 1, b = 2, c = 3, args = (4, 5), kwargs = {'g': 12.9, 'd': 6} )
我将其更改为this,仅当函数不等于4
时才打印出参数(在没有装饰器参数的情况下实现):
def get_all_func_param_name_values(func, *func_args, **func_kwargs):
arg_names = func.__code__.co_varnames[:func.__code__.co_argcount]
args = func_args[:len(arg_names)]
defaults = func.__defaults__ or ()
args = args + defaults[len(defaults) - (func.__code__.co_argcount - len(args)):]
params = list(zip(arg_names, args))
args = func_args[len(arg_names):]
if args: params.append(('args', args))
if func_kwargs: params.append(('kwargs', func_kwargs))
return '(' + ', '.join('%s = %r' % p for p in params) + ')'
def dumpArgs(func):
'''Decorator to print function call details - parameters names and effective values'''
def wrapper(*func_args, **func_kwargs):
a = func(*func_args, **func_kwargs)
if(a != 4):
return a
print("FAILURE: " + func.__name__ + get_all_func_param_name_values(func, *func_args, **func_kwargs))
return a
return wrapper
@dumpArgs
def getA(a, b = 4, c = 'blah-blah', *args, **kwargs):
return a
getA(1)
getA(1, 3)
getA(4, d = 5)
getA(1, 2, 3, 4, 5, d = 6, g = 12.9)
输出:
FAILURE: getA(a = 4, b = 4, c = 'blah-blah', kwargs = {'d': 5})
Out[21]: 1
(我不明白为什么在第二行打印1
。)
然后我将其更改为传递期望值4
作为装饰器参数。如this answer中所述,它要求原始装饰器是嵌套函数:
def get_all_func_param_name_values(func, *func_args, **func_kwargs):
arg_names = func.__code__.co_varnames[:func.__code__.co_argcount]
args = func_args[:len(arg_names)]
defaults = func.__defaults__ or ()
args = args + defaults[len(defaults) - (func.__code__.co_argcount - len(args)):]
params = list(zip(arg_names, args))
args = func_args[len(arg_names):]
if args: params.append(('args', args))
if func_kwargs: params.append(('kwargs', func_kwargs))
return '(' + ', '.join('%s = %r' % p for p in params) + ')'
def dumpArgs(expected_value):
def dumpArgs2(func):
'''Decorator to print function call details - parameters names and effective values'''
def wrapper(*func_args, **func_kwargs):
a = func(*func_args, **func_kwargs)
if(a == expected_value):
return a
print("FAILURE: " + func.__name__ + get_all_func_param_name_values(func, *func_args, **func_kwargs))
return a
return wrapper
return dumpArgs2
@dumpArgs(4)
def getA(a, b = 4, c = 'blah-blah', *args, **kwargs):
return a
getA(1)
getA(1, 3)
getA(4, d = 5)
getA(1, 2, 3, 4, 5, d = 6, g = 12.9)
输出:
FAILURE: getA(a = 1, b = 4, c = 'blah-blah')
FAILURE: getA(a = 1, b = 3, c = 'blah-blah')
FAILURE: getA(a = 1, b = 2, c = 3, args = (4, 5), kwargs = {'g': 12.9, 'd': 6})
Out[31]: 1
(再次,那1
...)
我不清楚如何将这个硬编码的4
更改为expected_value
参数,该参数在每次函数调用时都会传递。我见过的所有例子(如this one)都有硬编码参数。
我目前正在尝试
assert_expected_func_params(4, getA, 1)
assert_expected_func_params(4, getA, 1, 3)
assert_expected_func_params(4, getA, 4, d = 5)
assert_expected_func_params(4, getA, 1, 2, 3, 4, 5, d = 6, g = 12.9)
但它远没有奏效。
如何实现可以传递给每个函数调用的装饰器参数?
答案 0 :(得分:2)
由于装饰器包装了函数,因此可以在调用函数时拦截函数的输入和输出。通过这种方式,您可以查找_expected
关键字,将其删除,调用函数,然后根据传入的预期值测试函数的返回值。
from functools import wraps
_empty = object() # sentinel value used to control testing
def dump_ne(func):
@wraps(func)
def decorated(*args, **kwargs):
# remove the expected value from the actual call kwargs
expected = kwargs.pop('_expected', _empty)
# call the function with rest of args and kwargs
result = func(*args, **kwargs)
# only test when _expected was passed in the kwargs
# only print when the result didn't equal expected
if expected is not _empty and expected != result:
print('FAIL: func={}, args={}, kwargs={}'.format(func.__name__, args, kwargs))
return result
return decorated
@dump_ne
def cool(thing):
return thing.upper()
print(cool('cat')) # prints 'CAT', test isn't run
for thing in ('cat', 'ice', 'cucumber'):
print(cool(thing, _expected='CUCUMBER'))
# dumps info for first 2 calls (cat, ice)