Is there a Python module to "thaw" data frozen using Perl's Storable?

I have a legacy database which contains simple data structures (no CODE refs thank goodness) that have been written using the nfreeze me开发者_开发知识库thod of the Storable module in Perl.

Now I have a need to load this data into a Python application. Does anyone know of a Python implementation of Storable's thaw? Google hasn't helped me.

If it comes to it, I can reverse engineer the data format from the Storable source, but I'd prefer to avoid that fun if it's been done already.

To express in code: Given a Perl program like this:

#!/usr/bin/perl
use strict;
use warnings;

use MIME::Base64;
use Storable qw/nfreeze/;

my $data = {
    'string' => 'something',
    'arrayref' => [1, 2, 'three'],
    'hashref' => {
        'a' => 'b',
    },
};

print encode_base64( nfreeze($data) );

I'm after a magic_function such that this Python:

#!/usr/bin/env python
import base64
import pprint
import sys

def magic_function(frozen):
    # A miracle happens
    return thawed

if __name__ == '__main__':
    frozen = base64.b64decode(sys.stdin.read())
    data = magic_function(frozen)
    pprint.pprint(data)

prints:

{'string': 'something', 'arrayref': [1, 2, 'three'], 'hashref': {'a': 'b'}}

when run against the output of the Perl program.

---

It's not immediately clear to me how far along this project is, but it appears to aim to do what you want:

https://pypi.org/project/storable/

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If your first option doesn't work, another option would be to write a simple perl script to thaw the data, and then write it out in JSON or YAML or some format that you can easily work with in Python.