I have the need to take a string argument and create an object of the class named in that string in Python. In Java, I would use Class.forName().newInstance(). Is there an equivalent in Python?
Thanks for the responses. To answer those who want to know what I'm doing: I want to use a command line argument as the class name, and instantiate it. I'm actually programming in Jython and instantiating Java classes, hence the Java-ness of the question. getattr() works great. Thanks much.
Reflection in python is a lot easier and far more flexible than it is in Java.
I recommend reading this tutorial (on archive.org)
There's no direct function (that I know of) which takes a fully qualified class name and returns the class, however you have all the pieces needed to build that, and you can connect them together.
One bit of advice though: don't try to program in Java style when you're in python.
If you can explain what is it that you're trying to do, maybe we can help you find a more pythonic way of doing it.
Here's a function that does what you want:
def get_class( kls ):
parts = kls.split('.')
module = ".".join(parts[:-1])
m = __import__( module )
for comp in parts[1:]:
m = getattr(m, comp)
return m
You can use the return value of this function as if it were the class itself.
Here's a usage example:
>>> D = get_class("datetime.datetime")
>>> D
<type 'datetime.datetime'>
>>> D.now()
datetime.datetime(2009, 1, 17, 2, 15, 58, 883000)
>>> a = D( 2010, 4, 22 )
>>> a
datetime.datetime(2010, 4, 22, 0, 0)
>>>
How does that work?
We're using __import__ to import the module that holds the class, which required that we first extract the module name from the fully qualified name. Then we import the module:
m = __import__( module )
In this case, m will only refer to the top level module,
For example, if your class lives in foo.baz module, then m will be the module foo
We can easily obtain a reference to foo.baz using getattr( m, 'baz' )
To get from the top level module to the class, have to recursively use gettatr on the parts of the class name
Say for example, if you class name is foo.baz.bar.Model then we do this:
m = __import__( "foo.baz.bar" ) #m is package foo
m = getattr( m, "baz" ) #m is package baz
m = getattr( m, "bar" ) #m is module bar
m = getattr( m, "Model" ) #m is class Model
This is what's happening in this loop:
for comp in parts[1:]:
m = getattr(m, comp)
At the end of the loop, m will be a reference to the class. This means that m is actually the class itslef, you can do for instance:
a = m() #instantiate a new instance of the class
b = m( arg1, arg2 ) # pass arguments to the constructor
__import__ exists for. Projects like Django that do module-loading-magic use it all the time. Nice answer.
get_class = lambda name: reduce(getattr, name.split('.')[1:], __import__(name.partition('.')[0])). Though 'object.from_name' might be a better name. Examples: get_class('decimal.Decimal'), get_class(module_name).
Assuming the class is in your scope:
globals()['classname'](args, to, constructor)
Otherwise:
getattr(someModule, 'classname')(args, to, constructor)
Edit: Note, you can't give a name like 'foo.bar' to getattr. You'll need to split it by . and call getattr() on each piece left-to-right. This will handle that:
module, rest = 'foo.bar.baz'.split('.', 1)
fooBar = reduce(lambda a, b: getattr(a, b), rest.split('.'), globals()[module])
someVar = fooBar(args, to, constructor)
attrs = 'foo.bar.baz'.split('.'); fooBar = reduce(getattr, attrs[1:], __import__(attrs[0]))module, _, attrs = 'foo.bar.baz'.partition('.'); fooBar = reduce(getattr, attrs, __import__(module))def import_class_from_string(path):
from importlib import import_module
module_path, _, class_name = path.rpartition('.')
mod = import_module(module_path)
klass = getattr(mod, class_name)
return klass
In [59]: raise import_class_from_string('google.appengine.runtime.apiproxy_errors.DeadlineExceededError')()
---------------------------------------------------------------------------
DeadlineExceededError Traceback (most recent call last)
<ipython-input-59-b4e59d809b2f> in <module>()
----> 1 raise import_class_from_string('google.appengine.runtime.apiproxy_errors.DeadlineExceededError')()
DeadlineExceededError:
Yet another implementation.
def import_class(class_string):
"""Returns class object specified by a string.
Args:
class_string: The string representing a class.
Raises:
ValueError if module part of the class is not specified.
"""
module_name, _, class_name = class_string.rpartition('.')
if module_name == '':
raise ValueError('Class name must contain module part.')
return getattr(
__import__(module_name, globals(), locals(), [class_name], -1),
class_name)
if module_name LBYL is pretty redudant, since the error you get if you simply delete those lines is: ValueError: Empty module name.It seems you're approaching this from the middle instead of the beginning. What are you really trying to do? Finding the class associated with a given string is a means to an end.
If you clarify your problem, which might require your own mental refactoring, a better solution may present itself.
For instance: Are you trying to load a saved object based on its type name and a set of parameters? Python spells this unpickling and you should look at the pickle module. And even though the unpickling process does exactly what you describe, you don't have to worry about how it works internally:
>>> class A(object):
... def __init__(self, v):
... self.v = v
... def __reduce__(self):
... return (self.__class__, (self.v,))
>>> a = A("example")
>>> import pickle
>>> b = pickle.loads(pickle.dumps(a))
>>> a.v, b.v
('example', 'example')
>>> a is b
False
This is found in the python standard library, as unittest.TestLoader.loadTestsFromName. Unfortunately the method goes on to do additional test-related activities, but this first ha looks re-usable. I've edited it to remove the test-related functionality:
def get_object(name):
"""Retrieve a python object, given its dotted.name."""
parts = name.split('.')
parts_copy = parts[:]
while parts_copy:
try:
module = __import__('.'.join(parts_copy))
break
except ImportError:
del parts_copy[-1]
if not parts_copy: raise
parts = parts[1:]
obj = module
for part in parts:
parent, obj = obj, getattr(obj, part)
return obj
I needed to get objects for all existing classes in my_package. So I import all necessary classes into my_package's __init__.py.
So my directory structure is like this:
/my_package
- __init__.py
- module1.py
- module2.py
- module3.py
And my __init__.py looks like this:
from .module1 import ClassA
from .module2 import ClassB
Then I create a function like this:
def get_classes_from_module_name(module_name):
return [_cls() for _, _cls in inspect.getmembers(__import__(module_name), inspect.isclass)]
Where module_name = 'my_package'
inspect doc: https://docs.python.org/3/library/inspect.html#inspect.getmembers
This very short implementation worked for my purposes (builtin classes):
str_name = "str"
class_from_str = eval(str_name + "()".__class__)
In my tests, this broke for modules and some other imported objects, though it worked on a class I imported via from x import y.
importlib.import, which was backported from python 3 to 2.7 (docs.python.org/2/library/importlib.html)