将views.py拆分为多个文件 [英] Split views.py in several files

问题描述

我的 views.py 太大了，很难找到正确的视图。

My views.py has become too big and it's hard to find the right view.

怎么办我将其拆分为几个文件然后导入？

How do I split it in several files and then import it? Does it involve any speed loss?

我可以对 models.py 做同样的事情吗？

Can I do the same with models.py?

推荐答案

在Django中，所有内容都是Python模块（* .py）。您可以创建一个内部带有 __ init __。py 的视图文件夹，但仍然可以导入视图，因为这也实现了Python模块。

In Django everything is a Python module (*.py). You can create a view folder with an __init__.py inside and you still will be able to import your views, because this also implements a Python module. But an example would be better.

您原来的 views.py 可能看起来像这样：

Your original views.py might look like this :

def view1(arg):
    pass

def view2(arg):
   pass

使用以下文件夹/文件结构，其作用相同：

With the following folder/file structure it will work the same :

views/
   __init__.py
   viewsa.py
   viewsb.py

viewsa.py ：

def view1(arg):
    pass

viewsb.py ：

def view2(arg):
    pass

__ init __。py ：

from viewsa import view1
from viewsb import view2

quick 的解释是：当您从视图中输入时，导入view1 Python将在以下位置查找view1

The quick explanation would be: when you write from views import view1 Python will look for view1 in

1. views.py ，笔在第一个（原始）情况下

1. views.py, which is what happens in the first (original) case

views / __ init __。py 第二种情况。在这里， __ init __。py 能够提供view1方法，因为它会导入它。

views/__init__.py, which is what happens in the second case. Here, __init__.py is able to provide the view1 method because it imports it.

使用这种解决方案，您可能无需更改 import 或 urlpattern s urls.py

With this kind of solution, you might have no need to change import or urlpatterns arguments in urls.py

如果每个新视图文件中都有很多方法，您可能会发现它对使 views / __ init __。py 中的导入使用 * ，例如：

If you have many methods in each new view file, you might find it useful to make the imports in views/__init__.py use *, like this:

from viewsa import *
from viewsb import *

我实际上不知道速度问题（但我怀疑有问题）。

I actually don't know about speed issues (but I doubt there are any).

对于模型来说，这可能有点困难。

For Models it might be a bit difficult.

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