python 进阶:描述符
为什么要使用描述符?
假设你正在 写一个成绩管理系统,没有太多编码经验的你,可能会这样写:
class Student:
def __init__(self, name, math, chinese, english):
self.name = name
self.math = math
self.chinese = chinese
self.english = english
def __repr__(self):
return "<Student: {}, math:{}, chinese: {}, english:{}>".format(
self.name, self.math, self.chinese, self.english )
st1 = Student('小明', 88, 99, 35)
st2 = Student('小红', 99, 78, 67)
print(st1)
print(st2)
输出结果:
<Student: 小明, math:88, chinese: 99, english:35>
<Student: 小红, math:99, chinese: 78, english:67>
这样看起来一切都很合理,但程序不像人那么智能,不会自动根据使用场景判断数据的合法性,如果老师输入成绩的时候,不小心将成绩录成了负数 或者超过成绩的最大值,程序是无法感知的。聪明的你马上想到了在代码中加入逻辑判断。
class Student:
def __init__(self, name, math, chinese, english):
self.name = name
if 0 <= math <= 100:
self.math = math
else:
raise ValueError("Valid value must be in [0, 100]")
if 0 <= chinese <= 100:
self.chinese = chinese
else:
raise ValueError("Valid value must be in [0, 100]")
if 0 <= english <= 100:
self.english = english
else:
raise ValueError("Valid value must be in [0, 100]")
def __repr__(self):
return "<Student: {}, math:{}, chinese: {}, english:{}>".format(
self.name, self.math, self.chinese, self.english)
st1 = Student('小明', 88, 99, -35)
st2 = Student('小红', 99, 78, 67)
print(st1)
print(st2)
输出结果:

这下程序稍微有点人工智能,能够自己明辨是非了。但是在__init__ 里有太多的逻辑判断,很影响代码的可读性。巧的是你学习了 Property 特性,可以很好的应用在这里。于是你的代码修改如下:
class Student:
def __init__(self, name, math, chinese, english):
self.name = name
self.math = math
self.chinese = chinese
self.english = english
@property
def math(self):
return self._math
@math.setter
def math(self, value):
if 0 <= value <= 100:
self._math = value
else:
raise ValueError('Valid value must be in [0,100]')
@property
def chinese(self):
return self._chinese
@chinese.setter
def chinese(self, value):
if 0 <= value <= 100:
self._chinese = value
else:
raise ValueError('Valid value must be in [0,100]')
@property
def english(self):
return self._english
@english.setter
def english(self, value):
if 0 <= value <= 100:
self._english = value
else:
raise ValueError('Valid value must be in [0,100]')
def __repr__(self):
return "<Student:{},math:{},chinese:{},english:{}>". \
format(self.name, self.math, self.chinese, self.english)
代码的可读性瞬间提升了,功能上没啥问题,但是还是有点啰嗦,代码重复性太高,于是你开始研究更优雅的方式,接触到了描述符。什么是描述符? 一个实现了描述符协议的类就是一个描述符。
什么是描述符协议? 实现了__get__(),__set__(),__delete__()其中至少一个方法的类,就是一个描述符。
__get__():用于访问属性,他返回属性的值,若属性不存在,不合法等都可以抛出对应的异常
__set__():将在属性分配操作中调用。不会返回任何内容
__delete__():控制删除操作。不会返回任何内容。
对描述符有了大概了解之后,你开始重写上面方法。
from weakref import WeakKeyDictionary
class Score():
""" score should in [0,100]
WeakKeyDictionary:弱引用字典,能防止内存泄漏
"""
def __init__(self):
self.score = WeakKeyDictionary()
# self.score = {}
def __get__(self, instance, owner):
# print(instance,'__get__')
return self.score[instance]
def __set__(self, instance, value):
if not isinstance(value, int):
raise TypeError('Score must be int')
if 0 <= value <= 100:
self.score[instance] = value
else:
raise ValueError("score not in [0,100]")
class Student():
# 托管属性定义在类级别上
math = Score()
chinese = Score()
english = Score()
def __init__(self, name, math, chinese, english):
self.name = name
self.math = math
self.chinese = chinese
self.english = english
def __repr__(self):
return "<Student:{},math:{},chinese:{},english:{}>". \
format(self.name, self.math, self.chinese, self.english)
stu = Student("malong", 91, 77, 88)
stu1 = Student("malong1", 57, 67, 78)
print(stu)
print(stu1)
try:
stu.english = -23
except ValueError :
stu.english=99
print(stu)
对比一下结果,发现确实优雅。
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