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 变得太大了，很难找到合适的视图.

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

如何将其拆分为多个文件然后导入?是否涉及任何速度损失?

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

我可以用 models.py 做同样的事情吗?

Can I do the same with models.py?

推荐答案

在 Django 中，一切都是 Python 模块 (*.py).你可以创建一个带有 __init__.py 的视图文件夹，你仍然可以导入你的视图，因为这也实现了一个 Python 模块.但举个例子会更好.

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.

您的原始 views.py 可能如下所示:

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，它的工作方式相同:

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

快速解释是:当你写from views import view1时，Python会在

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

1. views.py，这是第一个(原始)案例中发生的事情

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

views/__init__.py，这就是第二种情况.在这里，__init__.py 能够提供 view1 方法，因为它导入了它.

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 urls.py

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

如果你在每个新的视图文件中有很多方法，你可能会发现让 views/__init__.py 中的导入使用 * 很有用，像这样:

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(但我怀疑是否存在).

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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