setuptools: package data folder location

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死守一世寂寞
死守一世寂寞 2020-11-27 11:04

I use setuptools to distribute my python package. Now I need to distribute additional datafiles.

From what I\'ve gathered fromt the setuptools documentation, I need

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  • 2020-11-27 11:48

    Option 1: Install as package data

    The main advantage of placing data files inside the root of your Python package is that it lets you avoid worrying about where the files will live on a user's system, which may be Windows, Mac, Linux, some mobile platform, or inside an Egg. You can always find the directory data relative to your Python package root, no matter where or how it is installed.

    For example, if I have a project layout like so:

    project/
        foo/
            __init__.py
            data/
                resource1/
                    foo.txt
    

    You can add a function to __init__.py to locate an absolute path to a data file:

    import os
    
    _ROOT = os.path.abspath(os.path.dirname(__file__))
    def get_data(path):
        return os.path.join(_ROOT, 'data', path)
    
    print get_data('resource1/foo.txt')
    

    Outputs:

    /Users/pat/project/foo/data/resource1/foo.txt
    

    After the project is installed as an Egg the path to data will change, but the code doesn't need to change:

    /Users/pat/virtenv/foo/lib/python2.6/site-packages/foo-0.0.0-py2.6.egg/foo/data/resource1/foo.txt
    

    Option 2: Install to fixed location

    The alternative would be to place your data outside the Python package and then either:

    1. Have the location of data passed in via a configuration file, command line arguments or
    2. Embed the location into your Python code.

    This is far less desirable if you plan to distribute your project. If you really want to do this, you can install your data wherever you like on the target system by specifying the destination for each group of files by passing in a list of tuples:

    from setuptools import setup
    setup(
        ...
        data_files=[
            ('/var/data1', ['data/foo.txt']),
            ('/var/data2', ['data/bar.txt'])
            ]
        )
    

    Updated: Example of a shell function to recursively grep Python files:

    atlas% function grep_py { find . -name '*.py' -exec grep -Hn $* {} \; }
    atlas% grep_py ": \["
    ./setup.py:9:    package_data={'foo': ['data/resource1/foo.txt']}
    
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  • 2020-11-27 11:50

    I Think I found a good compromise which will allow you to mantain the following structure:

    / #root
    |- data/
    |  |- resource1
    |  |- [...]
    |- src/
    |  |- mypackage/
    |  |  |- __init__.py
    |  |  |- [...]
    |- setup.py
    

    You should install data as package_data, to avoid the problems described in samplebias answer, but in order to mantain the file structure you should add to your setup.py:

    try:
        os.symlink('../../data', 'src/mypackage/data')
        setup(
            ...
            package_data = {'mypackage': ['data/*']}
            ...
        )
    finally:
        os.unlink('src/mypackage/data')
    

    This way we create the appropriate structure "just in time", and mantain our source tree organized.

    To access such data files within your code, you 'simply' use:

    data = resource_filename(Requirement.parse("main_package"), 'mypackage/data')

    I still don't like having to specify 'mypackage' in the code, as the data could have nothing to do necessarally with this module, but i guess its a good compromise.

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  • 2020-11-27 12:01

    I think that you can basically give anything as an argument *data_files* to setup().

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