我有一个控制某些硬件的类:
class Heater()
def set_power(self,dutycycle, period)
...
def turn_on(self)
...
def turn_off(self)
一个连接数据库并处理实验的所有数据记录功能的类:
class DataLogger()
def __init__(self)
# Record measurements and controls in a database
def start(self,t)
# Starts a new thread to acquire and record measuements every t seconds
现在,在我的程序recipe.py中,我想做类似的事情:
log = DataLogger()
@DataLogger_decorator
H1 = Heater()
log.start(60)
H1.set_power(10,100)
H1.turn_on()
sleep(10)
H1.turn_off()
etc
数据记录器记录H1上的所有操作。我可以改变所涉及的任何类,只是寻找一种优雅的方式来做到这一点。理想情况下,硬件功能与数据库和DataLogger功能保持分离。理想情况下,DataLogger可重复用于其他控件和测量。
答案 0 :(得分:1)
对于这种情况,我更喜欢使用DataLogger作为BaseClass或Mixin用于其他类,而不是尝试做某种装饰魔术(它并没有真正点击我作为使用装饰器的pythonic方式)
e.g:
class DataLogger(object):
def __init__(self):
# do init stuff
def startlog(self, t):
# start the log
class Heater(DataLogger):
def __init__(self):
# do some stuff before initing your dataLogger
super(Heater, self).__init__() # init the DataLogger
#other functions
你可以这样做:
h1 = Heater()
h1.startlog(5)
h1.do_other_stuff()
将其用作现有类的mixin的示例:
class DataLoggerMixin(object):
def __init__(self):
# do your init things
super(DataLogger, this).__init__() # this will trigger the next __init__ call in the inheritance chain (i.e. whatever you mix it with)
class Heater(object):
""" Here's a heater you have lying around that doesn't do data logging. No need to change it."""
# add a new child class with 2 lines, that includes the DataLoggerMixin as the first parent class, and you will have a new class with all the DataLogging functionality and the Heater functionality.
class LoggingHeater(DataLoggerMixin, Heater):
""" Now its a data logging heater """
pass # no further code should be necessary if you list DataLoggerMixin first in the base classes.
>>> logging_heater = LoggingHeater()
>>> logging_heater.start_log(5)
>>> logging_heater.do_heater_stuff()
在python中成功使用mixins的关键是理解方法解析顺序(MRO),特别是对于super,在多重继承情况下是如何工作的。有关合作多重继承,请参阅this。
____________________________________________________________________
替代方法:使用包装类
如果Mixin方法不适用于您的方案,另一种选择是使用DataLogger作为要记录的对象的包装类。基本上,Data Logger会接受一个对象来在其构造函数中进行登录,如下所示:
class DataLogger(object)
def __init__(self, object_to_log)
self.object = object_to_log # now you have access to self.object in all your methods.
# Record measurements and controls in a database
def start(self,t)
# Starts a new thread to aqcuire and reccord measuements every t secconds
我不确定执行了什么类型的日志记录或监视,以及您是否需要访问要记录的对象或它是否独立。如果前者(可能是Heater,Valve等)都实现了DataLogger关心的相同功能,那么无论它们是什么类,您都可以记录它们。 (这是像Python这样的动态语言的一个方便的核心功能叫做“Duck typing”,你可以在不同的类型上操作,只要类型实现你关心的功能或属性。“如果它像鸭子一样嘎嘎叫...... “)
您的代码可能看起来更像这样,使用包装类方法:
h1 = Heater()
log = DataLogger(h1)
log.start(60)
h1.set_power(10,100)
h1.turn_on()
sleep(10)
h1.turn_off()
希望这有帮助!
答案 1 :(得分:1)
您可以装饰Heater并将Logger作为装饰器的参数提供:
# define the primitive logger
class Logger(object):
def log(self, func, args, kwargs):
print "Logging %s %r %r" % (func, args, kwargs)
# define the decorator
# since it accepts an argument, it's essentially a decorator generator
# which is supposed to return the actual decorator
# which in turn adds a logger call to each method of the class
def with_logger(logger):
def method_wrapper(cls):
def wrap(name, fun):
def _(self, *a, **kw):
logger.log(name, a, kw)
return fun(self, *a, **kw)
return _
for k in dir(cls):
v = getattr(cls, k)
if not k.startswith('__') and callable(v):
setattr(cls, k, wrap(k, v))
return cls
return method_wrapper
# create a logger...
my_logger = Logger()
# ...and pass it to the decorator
@with_logger(my_logger)
class Heater(object):
def set_power(self,dutycycle, period):
pass
def turn_on(self):
pass
def turn_off(self):
pass
# let's test!
h = Heater()
h.set_power(100, 200)
h.turn_on()
h.turn_off()