When using __import__
with a dotted name, something like: somepackage.somemodule
, the module returned isn't somemodule
, whatever is returned seems to be mostly empty! what's going on here?
__import__() Parameters name - the name of the module you want to import. globals and locals - determines how to interpret name. fromlist - objects or submodules that should be imported by name. level - specifies whether to use absolute or relative imports.
The __init__.py files are required to make Python treat directories containing the file as packages. This prevents directories with a common name, such as string , unintentionally hiding valid modules that occur later on the module search path.
In Python, you use the import keyword to make code in one module available in another. Imports in Python are important for structuring your code effectively. Using imports properly will make you more productive, allowing you to reuse code while keeping your projects maintainable.
From the python docs on __import__
:
__import__( name[, globals[, locals[, fromlist[, level]]]])
...
When the name variable is of the form package.module, normally, the top-level package (the name up till the first dot) is returned, not the module named by name. However, when a non-empty fromlist argument is given, the module named by name is returned. This is done for compatibility with the bytecode generated for the different kinds of import statement; when using "import spam.ham.eggs", the top-level package spam must be placed in the importing namespace, but when using "from spam.ham import eggs", the spam.ham subpackage must be used to find the eggs variable. As a workaround for this behavior, use getattr() to extract the desired components. For example, you could define the following helper:
def my_import(name): mod = __import__(name) components = name.split('.') for comp in components[1:]: mod = getattr(mod, comp) return mod
To paraphrase:
When you ask for somepackage.somemodule
, __import__
returns somepackage.__init__.py
, which is often empty.
It will return somemodule
if you provide fromlist
(a list of the variable names inside somemodule
you want, which are not actually returned)
You can also, as I did, use the function they suggest.
Note: I asked this question fully intending to answer it myself. There was a big bug in my code, and having misdiagnosed it, it took me a long time to figure it out, so I figured I'd help the SO community out and post the gotcha I ran into here.
python 2.7 has importlib, dotted paths resolve as expected
import importlib
foo = importlib.import_module('a.dotted.path')
instance = foo.SomeClass()
There is a simpler solution, as explained in the documentation:
If you simply want to import a module (potentially within a package) by name, you can call __import__() and then look it up in sys.modules:
>>> import sys
>>> name = 'foo.bar.baz'
>>> __import__(name)
<module 'foo' from ...>
>>> baz = sys.modules[name]
>>> baz
<module 'foo.bar.baz' from ...>
There is something that works as you want it to: twisted.python.reflect.namedAny
:
>>> from twisted.python.reflect import namedAny
>>> namedAny("operator.eq")
<built-in function eq>
>>> namedAny("pysqlite2.dbapi2.connect")
<built-in function connect>
>>> namedAny("os")
<module 'os' from '/usr/lib/python2.5/os.pyc'>
For python 2.6, I wrote this snippet:
def import_and_get_mod(str, parent_mod=None):
"""Attempts to import the supplied string as a module.
Returns the module that was imported."""
mods = str.split('.')
child_mod_str = '.'.join(mods[1:])
if parent_mod is None:
if len(mods) > 1:
#First time this function is called; import the module
#__import__() will only return the top level module
return import_and_get_mod(child_mod_str, __import__(str))
else:
return __import__(str)
else:
mod = getattr(parent_mod, mods[0])
if len(mods) > 1:
#We're not yet at the intended module; drill down
return import_and_get_mod(child_mod_str, mod)
else:
return mod
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