One thing I needed to do so that this would support our needs internally is to support arbitrary join depth to be able to do search and sort functionality on the results. With Orf's version, I was only able to order by or search on 2 levels deep of a query result. Now that level is arbitrary such that you can provide a column on say a Subnet table that is associated with a location through relations like subnet.vlan.switch.rack.location and make the location name filterable AND orderable with just "vlan__switch__rack__location__name"
The package is available on PyPI and is passing tests on Python 2.7, 3.3 and 3.4 Working on getting this on PyPI
pip install flask_datatablesThis is SUPER simple. In datatables I provide a function called get_resource that can be used to create a datatables api endpoint with full flask-restless style filtering built in.
Additional data such as hyperlinks can be added via DataTable.add_data, which accepts a callable that is called for each instance. Check out the usage example below for more info.
models.py
class User(Base):
__tablename__ = 'users'
id = Column(Integer, primary_key=True)
full_name = Column(Text)
created_at = Column(DateTime, default=datetime.datetime.utcnow)
class Address(Base):
__tablename__ = 'addresses'
id = Column(Integer, primary_key=True)
description = Column(Text)
user_id = Column(Integer, ForeignKey('users.id'))
user = relationship("User", backref=backref("address", uselist=False))
def __repr__(self):
return "{}".format(self.description)api.py
from model import Session, User, Address
from datatables import *
app = Flask(__name__)
api = Api(app)
# add User resource
resource, path, endpoint = get_resource(Resource, User, Session, basepath="/")
api.add_resource(resource, path, endpoint=endpoint)
# add Address resource
resource, path, endpoint = get_resource(Resource, Address, Session, basepath="/")
api.add_resource(resource, path, endpoint=endpoint)
if __name__ == '__main__':
app.run(host='127.0.0.1', port=5001, debug=True)