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pickle-warehouse 0.0.5

Easily dump python objects to files, and then load them back.

Latest Version: 0.0.12

Pickle Warehouse makes it easy to save Python objects to files with meaningful identifiers.

How to use

Pickle Warehouse provides a dictionary-like object that is associated with a particular directory on your computer.

from pickle_warehouse import Warehouse
warehouse = Warehouse('/tmp/a-directory')

The keys correspond to files, and the values get pickled to the files.

warehouse['filename'] = range(100)

import pickle
range(100) == pickle.load(open('/tmp/a-directory/filename', 'rb'))

You can also read and delete things.

# Read
range(100) == warehouse['filename']

# Delete
del(warehouse['filename'])

The coolest part is that the key gets interpreted in a fancy way. Aside from strings and string-like objects, you can use iterables of strings; all of these indices refer to the file /tmp/a-directory/foo/bar/baz:

warehouse[('foo','bar','baz')]
warehouse[['foo','bar','baz']]

If you pass a URL, it will get broken up in a reasonable way.

# /tmp/a-directory/http/thomaslevine.com/!/?foo=bar#baz
warehouse['http://thomaslevine.com/!/?foo=bar#baz']

# /tmp/a-directory/thomaslevine.com/!?foo=bar#baz
warehouse['thomaslevine.com/!?foo=bar#baz']

Dates and datetimes get converted to YYYY-MM-DD format.

import datetime

# /tmp/a-directory/2014-02-26
warehouse[datetime.date(2014,2,26)]
warehouse[datetime.datetime(2014,2,26,13,6,42)]

And you can mix these formats!

# /tmp/a-directory/http/thomaslevine.com/open-data/2014-02-26
warehouse[('http://thomaslevine.com/open-data', datetime.date(2014,2,26))]

It also has typical dictionary methods like keys, values, items, and update.

When to use

Use this when you want a persistant store of Python objects. If you want an in-memory pickle store, look at _pickleDB: https://pythonhosted.org/pickleDB/.

 
File Type Py Version Uploaded on Size
pickle-warehouse-0.0.5.tar.gz (md5) Source 2014-02-28 2KB
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