Python 使用向后兼容性取消勾选namedtuple(忽略其他属性)
下面是一个场景,该场景模拟在较新版本编写的搁置数据库上运行较旧版本的Python程序。理想情况下,用户对象仍将被解析和读入;FavoritePET属性将被忽略。可以理解,它抛出了一个错误,抱怨元组不匹配 有没有一种好方法可以让这个场景与namedtuples一起工作,或者如果需要这种灵活性,最好切换到存储字典或类Python 使用向后兼容性取消勾选namedtuple(忽略其他属性),python,python-3.x,namedtuple,Python,Python 3.x,Namedtuple,下面是一个场景,该场景模拟在较新版本编写的搁置数据库上运行较旧版本的Python程序。理想情况下,用户对象仍将被解析和读入;FavoritePET属性将被忽略。可以理解,它抛出了一个错误,抱怨元组不匹配 有没有一种好方法可以让这个场景与namedtuples一起工作,或者如果需要这种灵活性,最好切换到存储字典或类 import shelve from collections import namedtuple shelf = shelve.open("objectshelf", flag='n
import shelve
from collections import namedtuple
shelf = shelve.open("objectshelf", flag='n')
User = namedtuple("User", ("username", "password", "firstname", "surname", "favouritePet"))
shelf["namedtupleAndrew"] = User("andrew@example.com", "mypassword", "Andrew", "Smith", "cat")
# Redefine User to simulate a previous version of the User object that didn't record favouritePet;
# someone using an old version of the program against a database written to by a new version
User = namedtuple("User", ("username", "password", "firstname", "surname"))
# Throws error "takes 5 positional arguments but 6 were given"
namedTupleRead = shelf["namedtupleAndrew"]
print(namedTupleRead.username)
编辑:为了完整起见,使用类也有同样的想法:
import shelve
shelf = shelve.open("objectshelf", flag='n')
class User:
def __init__(self, username, password, firstname, surname, favouritePet):
self.username = username
self.password = password
self.firstname = firstname
self.surname = surname
self.favouritePet = favouritePet
shelf["objectAndrew"] = User("andrew@example.com", "mypassword", "Andrew", "Smith", "cat")
# Redefine User to simulate a previous version of the User object that didn't record favouritePet;
# someone using an old version of the program against a database written to by a new version
class User:
def __init__(self, username, password, firstname, surname):
self.username = username
self.password = password
self.firstname = firstname
self.surname = surname
objectRead = shelf["objectAndrew"]
print(objectRead.username)
# favouritePet is still there; it's just a dictionary, after all.
print(objectRead.favouritePet)
我建议使用dict或自定义类 一个命名元组需要的参数数量与它的字段数量一样多,因此要直接使用命名元组,您必须更改类“
\uuuu new\uuuu
方法,以使用*args
和**kwargs
而不是固定的参数列表。如果查看User
类的定义(通过添加verbose=True
参数),您将看到该类是如何定义的:
...
class User(tuple):
'User(username, password, firstname, surname, favouritePet)'
__slots__ = ()
_fields = ('username', 'password', 'firstname', 'surname', 'favouritePet')
def __new__(_cls, username, password, firstname, surname, favouritePet):
'Create new instance of User(username, password, firstname, surname, favouritePet)'
return _tuple.__new__(_cls, (username, password, firstname, surname, favouritePet))
...
\uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu
与namedtuple保持一致),然后将结果序列与tuple一起使用。\uuuu new\uuuu
。最好使用专用类,而不是以这种方式修改namedtuple的行为
通过使用协议(或)使用自定义构造函数,可以更容易地更改用户
namedtuple的pickle方式,例如:
from collections import namedtuple
import shelve
import copyreg
shelf = shelve.open("test")
User = namedtuple("User", ("username", "password", "firstname", "surname", "favouritePet"))
User.__reduce__ = lambda user: (construct_user, tuple(user))
# or: copyreg.pickle(User, lambda user: (construct_user, tuple(user)))
def construct_user(*args):
print('creating new user:', args) # for debugging
return User(*args[:len(User._fields)])
user = User("andrew@example.com", "mypassword", "Andrew", "Smith", "cat")
print(user)
shelf["namedtupleAndrew"] = user
# redefine User
User = namedtuple("User", ("username", "password", "firstname", "surname"))
print(shelf["namedtupleAndrew"])
只要
construct\u user
函数在所有兼容版本中都可用,这将起作用,但正如最初所说的,我仍然建议使用不同的数据结构。对于类示例,是否有一种好的方法来摆脱self.username=username行,同时仍然允许在init中列出参数?