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        "author": "Dennis Durling",
        "author_email": "djdtahoe@gmail.com",
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            "Framework :: Flask",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Topic :: Internet :: WWW/HTTP",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "====================\nFlask-restful only version of orf/datatables with Flask-restless style filtering\n====================\n\nAdditional Functionality\n------------\nOne thing I needed to do so that this would support our needs internally is\nto support arbitrary join depth to be able to do search and sort functionality\non the results. With Orf's version, I was only able to order by or search on 2\nlevels deep of a query result. Now that level is arbitrary such that you can\nprovide a column on say a Subnet table that is associated with a location\nthrough relations like subnet.vlan.switch.rack.location and make the location name\nfilterable AND orderable with just \"vlan__switch__rack__location__name\"\n\nInstallation\n------------\n\nThe package is available on PyPI and is passing tests on Python 2.7, 3.3 and 3.4\nWorking on getting this on PyPI\n\n.. code-block:: bash\n\n    pip install flask_datatables\n\nUsage\n-----\n\n\nThis is SUPER simple. In datatables I provide a function called get_resource that can be used to create a\ndatatables api endpoint with full flask-restless style filtering built in.\n\n\nAdditional data such as hyperlinks can be added via DataTable.add_data, which accepts a callable that is called for\neach instance. Check out the usage example below for more info.\n\n\nExample\n-------\n\n**models.py**\n\n.. code-block:: python\n\n    class User(Base):\n        __tablename__ = 'users'\n\n        id = Column(Integer, primary_key=True)\n        full_name = Column(Text)\n        created_at = Column(DateTime, default=datetime.datetime.utcnow)\n\n\n\n    class Address(Base):\n        __tablename__ = 'addresses'\n\n        id = Column(Integer, primary_key=True)\n        description = Column(Text)\n        user_id = Column(Integer, ForeignKey('users.id'))\n\n        user = relationship(\"User\", backref=backref(\"address\", uselist=False))\n\n        def __repr__(self):\n            return \"{}\".format(self.description)\n\n\n**api.py**\n\n.. code-block:: python\n\n    from model import Session, User, Address\n    from datatables import *\n\n    app = Flask(__name__)\n    api = Api(app)\n    # add User resource\n    resource, path, endpoint = get_resource(Resource, User, Session, basepath=\"/\")\n    api.add_resource(resource, path, endpoint=endpoint)\n\n    # add Address resource\n    resource, path, endpoint = get_resource(Resource, Address, Session, basepath=\"/\")\n    api.add_resource(resource, path, endpoint=endpoint)\n\n    if __name__ == '__main__':\n        app.run(host='127.0.0.1', port=5001, debug=True)",
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