sqlalchemy-datatables 2.0.0

SQLAlchemy integration of jQuery DataTables

sqlalchemy-datatables is a framework agnostic library providing an SQLAlchemy integration of jQuery DataTables >= 1.10, and helping you manage server side requests in your application.

Installation

To install via pip:

Python 2

$ pip install sqlalchemy-datatables

Python 3

$ pip3 install sqlalchemy-datatables

To install from source:

$ git clone [e-mail]:Pegase745/sqlalchemy-datatables.git
$ cd sqlalchemy-datatables
$ pip install .

To contribute:

In a virtualenv
$ git clone [e-mail]:Pegase745/sqlalchemy-datatables.git
$ cd sqlalchemy-datatables
$ make all

Usage

@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, including an integration with the yadcf plugin:

• Pyramid example

• Flask example

Changelog

All notable changes to this project will be documented in this section.

This project adheres to Semantic Versioning and Keep A Changelog.

License

The project is licensed under the MIT license.