I want to create a dynamic object (inside another object) in Python and then add attributes to it.
I tried:
obj = someobject
obj.a = object()
setattr
You could use my ancient Bunch recipe, but if you don't want to make a "bunch class", a very simple one already exists in Python -- all functions can have arbitrary attributes (including lambda functions). So, the following works:
obj = someobject
obj.a = lambda: None
setattr(obj.a, 'somefield', 'somevalue')
Whether the loss of clarity compared to the venerable Bunch
recipe is OK, is a style decision I will of course leave up to you.
as docs say:
Note:
object
does not have a__dict__
, so you can’t assign arbitrary attributes to an instance of theobject
class.
You could just use dummy-class instance.
These solutions are very helpful during testing. Building on everyone else's answers I do this in Python 2.7.9 (without staticmethod I get a TypeError (unbound method...):
In [11]: auth = type('', (), {})
In [12]: auth.func = staticmethod(lambda i: i * 2)
In [13]: auth.func(2)
Out[13]: 4
Coming to this late in the day but here is my pennyworth with an object that just happens to hold some useful paths in an app but you can adapt it for anything where you want a sorta dict of information that you can access with getattr and dot notation (which is what I think this question is really about):
import os
def x_path(path_name):
return getattr(x_path, path_name)
x_path.root = '/home/x'
for name in ['repository', 'caches', 'projects']:
setattr(x_path, name, os.path.join(x_path.root, name))
This is cool because now:
In [1]: x_path.projects
Out[1]: '/home/x/projects'
In [2]: x_path('caches')
Out[2]: '/home/x/caches'
So this uses the function object like the above answers but uses the function to get the values (you can still use (getattr, x_path, 'repository')
rather than x_path('repository')
if you prefer).
The built-in object
can be instantiated but can't have any attributes set on it. (I wish it could, for this exact purpose.) It doesn't have a __dict__
to hold the attributes.
I generally just do this:
class Object(object):
pass
a = Object()
a.somefield = somevalue
When I can, I give the Object
class a more meaningful name, depending on what kind of data I'm putting in it.
Some people do a different thing, where they use a sub-class of dict
that allows attribute access to get at the keys. (d.key
instead of d['key']
)
Edit: For the addition to your question, using setattr
is fine. You just can't use setattr
on object()
instances.
params = ['attr1', 'attr2', 'attr3']
for p in params:
setattr(obj.a, p, value)
di = {}
for x in range(20):
name = '_id%s' % x
di[name] = type(name, (object), {})
setattr(di[name], "attr", "value")