为了回答你的问题，你需要一个来自dict的只读属性作为不可变数据源:

目标是创建一个行为类似db结果集的模拟类。 例如，如果一个数据库查询返回一个dict表达式， {'ab':100， 'cd':200}，那么我将看到 > > > dummy.ab One hundred.

我将演示如何使用collections模块中的namedtuple来实现这一点:

import collections

data = {'ab':100, 'cd':200}

def maketuple(d):
    '''given a dict, return a namedtuple'''
    Tup = collections.namedtuple('TupName', d.keys()) # iterkeys in Python2
    return Tup(**d)

dummy = maketuple(data)
dummy.ab

返回100

对我有用的是:

class C:
    def __init__(self):
        self._x=None

    def g(self):
        return self._x

    def s(self, x):
        self._x = x

    def d(self):
        del self._x

    def s2(self,x):
        self._x=x+x

    x=property(g,s,d)


c = C()
c.x="a"
print(c.x)

C.x=property(C.g, C.s2)
C.x=C.x.deleter(C.d)
c2 = C()
c2.x="a"
print(c2.x)

输出

a
aa

扩展了kjfletch的想法

# This is my humble contribution, extending the idea to serialize
# data from and to tuples, comparison operations and allowing functions
# as default values.

def Struct(*args, **kwargs):
    FUNCTIONS = (types.BuiltinFunctionType, types.BuiltinMethodType, \
                 types.FunctionType, types.MethodType)
    def init(self, *iargs, **ikwargs):
        """Asume that unamed args are placed in the same order than
        astuple() yields (currently alphabetic order)
        """
        kw = list(self.__slots__)

        # set the unnamed args
        for i in range(len(iargs)):
            k = kw.pop(0)
            setattr(self, k, iargs[i])

        # set the named args
        for k, v in ikwargs.items():
            setattr(self, k, v)
            kw.remove(k)

        # set default values
        for k in kw:
            v = kwargs[k]
            if isinstance(v, FUNCTIONS):
                v = v()
            setattr(self, k, v)

    def astuple(self):
        return tuple([getattr(self, k) for k in self.__slots__])

    def __str__(self):
        data = ['{}={}'.format(k, getattr(self, k)) for k in self.__slots__]
        return '<{}: {}>'.format(self.__class__.__name__, ', '.join(data))

    def __repr__(self):
        return str(self)

    def __eq__(self, other):
        return self.astuple() == other.astuple()

    name = kwargs.pop("__name__", "MyStruct")
    slots = list(args)
    slots.extend(kwargs.keys())
    # set non-specific default values to None
    kwargs.update(dict((k, None) for k in args))

    return type(name, (object,), {
        '__init__': init,
        '__slots__': tuple(slots),
        'astuple': astuple,
        '__str__': __str__,
        '__repr__': __repr__,
        '__eq__': __eq__,
    })


Event = Struct('user', 'cmd', \
               'arg1', 'arg2',  \
               date=time.time, \
               __name__='Event')

aa = Event('pepe', 77)
print(aa)
raw = aa.astuple()

bb = Event(*raw)
print(bb)

if aa == bb:
    print('Are equals')

cc = Event(cmd='foo')
print(cc)

输出:

<Event: user=pepe, cmd=77, arg1=None, arg2=None, date=1550051398.3651814>
<Event: user=pepe, cmd=77, arg1=None, arg2=None, date=1550051398.3651814>
Are equals
<Event: user=None, cmd=foo, arg1=None, arg2=None, date=1550051403.7938335>

最好的方法是定义__slots__。这样你的实例就不能有新的属性。

ks = ['ab', 'cd']
vs = [12, 34]

class C(dict):
    __slots__ = []
    def __init__(self, ks, vs): self.update(zip(ks, vs))
    def __getattr__(self, key): return self[key]

if __name__ == "__main__":
    c = C(ks, vs)
    print c.ab

打印12

    c.ab = 33

'C'对象没有属性'ab'

下面是以编程方式创建属性对象的简单示例。

#!/usr/bin/python3

class Counter:
    def __init__(self):
        cls = self.__class__
        self._count = 0
        cls.count = self.count_ref()

    def count_get(self):
        print(f'count_get: {self._count}')
        return self._count

    def count_set(self, value):
        self._count = value
        print(f'count_set: {self._count}')

    def count_del(self):
        print(f'count_del: {self._count}')

    def count_ref(self):
        cls = self.__class__
        return property(fget=cls.count_get, fset=cls.count_set, fdel=cls.count_del)

counter = Counter()

counter.count
for i in range(5):
    counter.count = i
del counter.count

'''
output
======
count_get: 0
count_set: 0
count_set: 1
count_set: 2
count_set: 3
count_set: 4
count_del: 4
'''

虽然给出了很多答案，但我没有找到一个让我满意的。我找到了自己的解决方案，使属性适用于动态情况。来源回答原来的问题:

#!/usr/local/bin/python3

INITS = { 'ab': 100, 'cd': 200 }

class DP(dict):
  def __init__(self):
    super().__init__()
    for k,v in INITS.items():
        self[k] = v 

def _dict_set(dp, key, value):
  dp[key] = value

for item in INITS.keys():
  setattr(
    DP,
    item,
    lambda key: property(
      lambda self: self[key], lambda self, value: _dict_set(self, key, value)
    )(item)
  )

a = DP()
print(a)  # {'ab': 100, 'cd': 200}
a.ab = 'ab100'
a.cd = False
print(a.ab, a.cd) # ab100 False