Seamless integration between Django REST framework and Datatables.
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README.rst

django-rest-framework-datatables

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Overview

This package provides seamless integration between Django REST framework and Datatables.

Install django-rest-framework-datatables, call your API with ?format=datatables and it will return a JSON structure that is fully compatible with what Datatables expects. It handles searching, filtering, ordering and most usecases you can imagine with Datatables.

The great benefit of django-rest-framework-datatables is that you don't have to create a different API, your API still work exactly the same unless you specify the datatables format on your request.

Full documentation is available on Read the Docs !

Requirements

  • Python (2.7, 3.4, 3.5, 3.6)
  • Django (1.9, 1.10, 1.11, 2.0, 2.1)
  • Django REST Framework (3.5, 3.6, 3.7, 3.8, 3.9)

Quickstart

Installation

Just use pip:

$ pip install djangorestframework-datatables

Configuration

To enable Datatables support in your project, add 'rest_framework_datatables' to your INSTALLED_APPS, and modify your REST_FRAMEWORK settings like this:

REST_FRAMEWORK = {
    'DEFAULT_RENDERER_CLASSES': (
        'rest_framework.renderers.JSONRenderer',
        'rest_framework.renderers.BrowsableAPIRenderer',
        'rest_framework_datatables.renderers.DatatablesRenderer',
    ),
    'DEFAULT_FILTER_BACKENDS': (
        'rest_framework_datatables.filters.DatatablesFilterBackend',
    ),
    'DEFAULT_PAGINATION_CLASS': 'rest_framework_datatables.pagination.DatatablesPageNumberPagination',
    'PAGE_SIZE': 50,
}

And that's it !

Your API is now fully compatible with Datatables and will provide searching, filtering, ordering and pagination without any modification of your API code !

Always Serialize Specific Fields

Sometimes you may want to expose fields regardless of datatable's url parameters. You can do so by setting the datatables_always_serialize tuple like so:

class ArtistSerializer(serializers.ModelSerializer):
id = serializers.IntegerField(read_only=True)

class Meta:
    model = Artist
    fields = (
        'id', 'name',
        )
    datatables_always_serialize = ('id',)

An example of Datatable

<!doctype html>
<html lang="en">
<head>
  <meta charset="utf-8">
  <title>Rolling Stone Top 500 albums of all time</title>
  <link rel="stylesheet" href="//cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/4.0.0/css/bootstrap.css">
  <link rel="stylesheet" href="//cdn.datatables.net/1.10.16/css/dataTables.bootstrap4.min.css">
</head>

<body>
  <div class="container">
    <div class="row">
      <div class="col-sm-12">
        <table id="albums" class="table table-striped table-bordered" style="width:100%">
          <thead>
            <tr>
              <th>Rank</th>
              <th>Artist</th>
              <th>Album name</th>
              <th>Year</th>
              <th>Genres</th>
            </tr>
          </thead>
        </table>
      </div>
    </div>
  </div>
  <script src="//code.jquery.com/jquery-1.12.4.js"></script>
  <script src="//cdn.datatables.net/1.10.16/js/jquery.dataTables.min.js"></script>
  <script src="//cdn.datatables.net/1.10.16/js/dataTables.bootstrap4.min.js"></script>
  <script>
      $(document).ready(function() {
          var table = $('#albums').DataTable({
              "serverSide": true,
              "ajax": "/api/albums/?format=datatables",
              "columns": [
                  {"data": "rank", "searchable": false},
                  {"data": "artist_name", "name": "artist.name"},
                  {"data": "name"},
                  {"data": "year"},
                  {"data": "genres", "name": "genres.name", "sortable": false},
              ]
          });
      });
  </script>
</body>
</html>

Example project

To play with the example project, just clone the repository and run the dev server.

$ git clone https://github.com/izimobil/django-rest-framework-datatables.git
$ cd django-rest-framework-datatables
$ pip install requirements.txt
$ python example/manage.py runserver
$ firefox http://127.0.0.1:8000

Testing

Install development requirements.

$ pip install -r requirements-dev.txt

Run the tests.

$ python example/manage.py test

You can also use the excellent tox testing tool to run the tests against all supported versions of Python and Django. Install tox globally, and then simply run:

$ tox

If you want to check the coverage, use:

$ coverage run ./example/manage.py test
$ coverage report -m

Documentation

The documentation is available online on Read the Docs.

To build the documentation, you’ll need to install sphinx.

$ pip install -r requirements-docs.txt

To build the documentation:

$ cd docs
$ make clean && make build