Pegase745 / Sqlalchemy Datatables
Programming Languages
Labels
Projects that are alternatives of or similar to Sqlalchemy Datatables
====================== sqlalchemy-datatables
|Build Status| |PyPi Version| |Scrutinizer| |Coverage|
.. |Build Status| image:: https://travis-ci.org/Pegase745/sqlalchemy-datatables.svg?branch=master :target: https://travis-ci.org/Pegase745/sqlalchemy-datatables
.. |PyPi Version| image:: https://badge.fury.io/py/sqlalchemy-datatables.svg :target: https://pypi.python.org/pypi/sqlalchemy-datatables/
.. |Scrutinizer| image:: https://scrutinizer-ci.com/g/Pegase745/sqlalchemy-datatables/badges/quality-score.png :target: https://scrutinizer-ci.com/g/Pegase745/sqlalchemy-datatables/
.. |Coverage| image:: https://codecov.io/gh/Pegase745/sqlalchemy-datatables/branch/master/graph/badge.svg :target: https://codecov.io/gh/Pegase745/sqlalchemy-datatables
sqlalchemy-datatables is a framework agnostic library providing an SQLAlchemy <http://www.sqlalchemy.org/>
_ integration of jQuery DataTables <http://datatables.net/>
_ >= 1.10, and helping you manage server side requests in your application.
Installation
To install via pip:
Python 3
.. code-block:: bash
$ pip3 install sqlalchemy-datatables
To install from source:
.. code-block:: bash
$ git clone [email protected]:Pegase745/sqlalchemy-datatables.git
$ cd sqlalchemy-datatables
$ pip3 install .
To contribute:
.. code-block:: bash
In a virtualenv
$ git clone [email protected]:Pegase745/sqlalchemy-datatables.git
$ cd sqlalchemy-datatables
$ make all
Usage
.. code-block:: python
@view_config(route_name='data', renderer='json')
def data(request):
"""Return server side data."""
# defining columns
# - explicitly cast date to string, so string searching the date
# will search a date formatted equal to how it is presented
# in the table
columns = [
ColumnDT(User.id),
ColumnDT(User.name),
ColumnDT(Address.description),
ColumnDT(func.strftime('%d-%m-%Y', User.birthday)),
ColumnDT(User.age)
]
# defining the initial query depending on your purpose
# - don't include any columns
# - if you need a join, also include a 'select_from'
query = DBSession.query().\
select_from(User).\
join(Address).\
filter(Address.id > 4)
# instantiating a DataTable for the query and table needed
rowTable = DataTables(request.GET, query, columns)
# returns what is needed by DataTable
return rowTable.output_result()
Examples
You can find working examples in the repository <examples>
, including an integration with the yadcf <https://github.com/vedmack/yadcf/>
plugin:
-
Pyramid example <examples/pyramid_tut/README.rst>
_ -
Flask example <examples/flask_tut/README.rst>
_
Changelog
All notable changes to this project will be documented in this section <https://github.com/Pegase745/sqlalchemy-datatables/releases>
_.
This project adheres to Semantic Versioning <http://semver.org/>
_ and Keep A Changelog <http://keepachangelog.com/>
_.
License
The project is licensed under the MIT license.