Skip to main content

Integrates SQLAlchemy with DataTables (framework Flask)

Project description

====================
Flask-restful only version of orf/datatables with Flask-restless style filtering
====================

Additional Functionality
------------
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"

Installation
------------

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

.. code-block:: bash

pip install flask_datatables

Usage
-----


This 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.


Example
-------

**models.py**

.. code-block:: python

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**

.. code-block:: python

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)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

flask_datatables-0.6.17.tar.gz (21.3 kB view details)

Uploaded Source

File details

Details for the file flask_datatables-0.6.17.tar.gz.

File metadata

File hashes

Hashes for flask_datatables-0.6.17.tar.gz
Algorithm Hash digest
SHA256 0682299c379dc6181d41ebe03a658467c86ce61bfa70c9ce3eb5aba49fa9c45e
MD5 7d92d4f52ea8933c55f8382c93dab415
BLAKE2b-256 d146a4f5217cc0faed122c8089d0e9f0b1810cbc30f1fefc9edb1d3db8bbdee6

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page