Loading Modules from a Directory
When dealing with a directory structure containing multiple Python module files, it may be necessary to import all of them into a single script. Importing each module individually can be tedious, especially if there are numerous modules in the directory.
One way to tackle this issue is by converting the directory into a Python package. However, simply adding an __init__.py file and using from Foo import * may not yield the desired results. To overcome this obstacle, an alternative approach is to list all Python module files in the current directory and store their names in the __all__ variable within the __init__.py file.
Here's the code that implements this approach:
from os.path import dirname, basename, isfile, join import glob # List all Python module files in the current directory modules = glob.glob(join(dirname(__file__), "*.py")) # Create a list of module names without the ".py" extension __all__ = [basename(f)[:-3] for f in modules if isfile(f) and not f.endswith('__init__.py')]
This snippet first lists all Python module files in the current directory using glob.glob(join(dirname(__file__), "*.py")). Then, it filters out any non-module files or the __init__.py file. Finally, it extracts the module names by removing the ".py" extension from each filename. These module names are stored in the __all__ variable within the __init__.py file.
By implementing this approach, you can effectively load all modules in a folder into a single script. It provides a convenient way to manage multiple modules and allows for easy importing using the from Foo import * syntax.
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