Metadata-Version: 1.1
Name: fbetl
Version: 0.1
Summary: UNKNOWN
Home-page: https://github.com/gregology/fbetl
Author: Greg Clarke
Author-email: greg@gho.st
License: MIT
Description: ============
        Facebook ETL
        ============
        
        .. image:: https://badge.fury.io/py/fbetl.svg
            :target: https://badge.fury.io/py/fbetl
        
        .. image:: http://img.shields.io/badge/license-MIT-yellow.svg?style=flat
            :target: https://github.com/gregology/fbetl/blob/master/LICENSE
        
        .. image:: https://img.shields.io/badge/contact-Gregology-blue.svg?style=flat
            :target: http://gregology.net/contact/
        
        
        
        Overview
        --------
        
        Extracts, transforms, and loads your Facebook data from the `Download Your Information <https://www.facebook.com/settings?tab=your_facebook_information>`_ tool into an SQLite DB.
        
        Installation
        ------------
        
        ``fbetl`` is available on PyPI
        
        http://pypi.python.org/pypi/fbetl
        
        Install via ``pip``
        ::
        
            $ pip install fbetl
        
        Or via ``easy_install``
        ::
        
            $ easy_install fbetl
        
        Or directly from ``fbetl``'s `git repo <https://github.com/gregology/fbetl>`
        ::
        
            $ git clone git://github.com/gregology/fbetl.git
            $ cd fbetl
            $ python setup.py install
        
        Basic usage
        -----------
        
        Use Facebook's `Download Your Information <https://www.facebook.com/settings?tab=your_facebook_information>`_ tool using the format JSON and unzip the file.
        
        .. image:: https://user-images.githubusercontent.com/1595448/43995530-f279ef72-9d7c-11e8-833b-522cc0d732f3.png
                 :width: 80%
        
        
        ::
        
            >>> from fbetl import Fbetl
            >>> fbetl = Fbetl('path/to/unzipped/facebook-user/data')
            >>> fbetl.load_all()
            >>> fbetl.sql('SELECT COUNT(*) FROM comments')[0][0]
            5000
            >>> fbetl.sql('SELECT timestamp FROM posts LIMIT 5;')
            [('2018-07-27 14:04:24',), ('2018-07-23 11:34:12',), ('2018-07-17 09:47:19',), ('2018-07-13 23:56:44',), ('2018-07-12 09:54:13',)]
        
        
        Running Test
        ------------
        ::
        
            $ python tests/tests.py
        
        Python compatibility
        --------------------
        
        Developed for Python 3. May work but not tested in Python 2.
        
Keywords: facebook,data
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
