Skip to main content

Django package serverside processing datatables

Project description

Introduction

Background

In a Django project, a lot of tables are used to display the information stored in DB. However, with the time goes by, the DB grows bigger and bigger, such that the table needs more time to load the content. In this case, reducing the loading time becomes the most import task for software developers. The common used way is using the server side processing table, which just loads a small part of the information at each time.

To use the server side processing table, we have two options: either we develop a new one, or we just use the one implemented by someone else. For the first one, we have to invest a lot of time and energy, besides that we also make sure it can be used anywhere. That's pretty difficult and less interesting for me (thinking of the javascript code). For the second option, actually we just need to customize it. That's easy to achieve.

datatables is a javascript package, which provides a lot of nice functions including the server side processing. However, using it in a Django project is not easy. To simplify its usage, I decided to implement a small package.

Brief

sspdatatables is a python package for Django project. It uses the datatables package and provides a nice Django-project-friendly interface for implementing the server side processing table.

Using this package you can implement not only a filterable, orderable and server side processing table. In common case, you don't even need to define the query function, I already did it for you.

Package Structure

sspdatatables
|   __init__.py
|   apps.py
|   datatables.py
|   forms.py
|
|---utils
|   |   __init__.py
|   |   decorator.py
|   |   enum.py
|   |   data_type_ensure.py
|
|---templates
|   |
|   |---datatables
|   |   |
|   |   |---html
|   |   |   table.html
|   |   |
|   |   |---js
|   |   |   footer.js
|   |   |   general.js
|   |
|---templatetags
    |   __init__.py
    |   form_field.py
|
|---tests
    |    __init__.py
    |    test_data_type_ensure_doctest.txt
    |    test_enum_doctest.txt

How To Use

Setup

  1. run pip install sspdatatables
  2. add sspdatatables in the INSTALLED_APPS in settings.py
  3. add sspdatatables/templates/ in the DIRS of TEMPLATES in settings.py

Tutorial

In this section I will use an example project to explain how to use sspdatatables

Project sspdatatablesExample:

structure:

sspdatatablesExample
|   manage.py
|   manuals.py
|   requirements.txt
|
|---example
|   |   __init__.py
|   |   admin.py
|   |   apps.py
|   |   models.py
|   |   tests.py
|   |   urls.py
|   |   views.py
|   |
|   |---migrations
|   |   |   __init__.py
|   |   |   0001_initial.py
|   |
|   |---templates
|       |   index.html
|       |   overview.html
|
|---sspdatatablesExample
    |   __init__.py
    |   admin.py
    |   apps.py
    |   settings.py
    |   tests.py
    |   urls.py
    |   wsgi.py
    |
    |---migrations
        |   __init__.py

Content of models.py file in example app

from django.db import models
from django_countries.fields import CountryField


class Author(models.Model):
    name = models.CharField(max_length=60)
    nationality = CountryField()


class Book(models.Model):
    name = models.CharField(max_length=60)
    description = models.TextField()
    author = models.ForeignKey(Author, on_delete=None)
    published_at = models.DateField(auto_now=True)

We want to display the name, published_at, author_name,
author_nationality information of books.

Our table should look like:

Action Name Author Author Nationality Published At
:pencil: book a person 1 country 1 Jul. 18, 2000
:pencil: book b person 2 country 2 Jul. 18, 1999
Notice:
  • In datatables the column number is 0-index, which means the column Action is actually column 0, column Name is column 1

After having a picture of what we want, we can start to implement it.

Steps:

Step 1.

create a folder datatables in app example and add empty files: init.py, datatables.py, enums.py, forms.py, serializers.py in it

Explaination:
  • sspdatatables requisite files are normally not used by other files, so putting them together helps you to keep your project's structure clear and simple (at least for the usage of sspdatatables).
Step 2.

in file enums.py input the following code:

from sspdatatables.utils.enum import TripleEnum


class BookEnum(TripleEnum):
    ID = (1, "id", "id")
    NAME = (2, "name", "name__icontains")
    AUTHOR_NAME = (3, "author__name", "author__name__icontains")
    AUTHOR_NATIONALITY = (4, "author__nationality", "author__nationality")
    PUBLISHED_AT = (5, "published_at", "published_at")
Explaination:
  • First, we need to import the TripleEnum from sspdatatables. Then we create a subclass for it to define a mapping, which is a 3-element tuple, (that's why the enumeration class called TripleEnum).
  • The first element of the mapping means the column number in the table, the second element is the corresponding field name defined in the model class, and the third element is the filter key for the field.
  • The purpose of creating this enumeration class is that with knowing the column number we can use the corresponding field name to order the table's content and the corresponding filter key to filter the content.
Step 3.

in file serializers.py input the following code:

from example.models import Book, Author
from rest_framework import serializers
from django_countries.serializers import CountryFieldMixin
from django_countries.serializer_fields import CountryField


class AuthorSerializer(CountryFieldMixin, serializers.ModelSerializer):
    nationality = CountryField(country_dict=True)

    class Meta:
        model = Author
        fields = ('name', 'nationality')


class BookSerializer(serializers.ModelSerializer):
    author = AuthorSerializer(read_only=True)
    published_at = serializers.DateField(format='%b. %d, %Y', required=False)

    class Meta:
        model = Book
        fields = ('id', 'name', 'published_at', 'author')
Explaination:

What we do here is actually defining the ModelSerializer for the table. There are two reasons for creating two ModelSerializers (one for Author and one for Book):

  1. to access the foreign key referenced record's information, you have to define a ModelSerializer for it. That's defined by Django REST framework
  2. we want to display not only the book's information but also its author's information, and the author is referenced as a foreign key in book
Notice:
  • If you use CountryField in your model class and you want to display the country name instead of the country code in the table, you have to use the same way as I defined for the nationality in the AuthorSerializer class (in the serialized data to get the country name, you can use item.nationality.name).
  • If you want to display the date in a specific format, you have to use the same name of this date field to declare a new serializers.DateField and specify the format (serializers.DateField corresponds to the models.DateField and serializers.DateTimeField corresponds to models.DateTimeField).

For more information about Django REST framework, you can visit http://www.django-rest-framework.org/#tutorial

Step 4.

in file datatables.py input the following code:

from sspdatatables.datatables import DataTables
from .serializers import BookSerializer
from .enums import BookEnum
from .forms import BookFieldSelectForm


class BookDataTables(DataTables):

    class Meta:
        serializer = BookSerializer
        form = None
        structure = [
            {
                "id": "actions", "serializer_key": None,
                "header": "Actions", "searchable": False,
                "orderable": False, "footer_type": None,
            },
            {
                "id": "id", "serializer_key": 'id',
                "header": "ID", "searchable": True,
                "orderable": True, "footer_type": "input",
            },
            {
                "id": "name", "serializer_key": 'name',
                "header": "Name", "searchable": True,
                "orderable": True, "footer_type": "input",
            },
            {
                "id": "author", "serializer_key": 'author.name',
                "header": "Author", "searchable": True,
                "orderable": True, "footer_type": "input",
            },
            {
                "id": "author_nationality", "serializer_key": 'author.nationality.name',
                "header": "Author Nationality", "searchable": True,
                "orderable": True, "footer_type": "input",
            },
            {
                "id": "published_at", "serializer_key": 'published_at',
                "header": "Published At", "searchable": True,
                "orderable": True, "footer_type": "input",
                "placeholder": "YYYY-MM-DD",
            },
        ]
        col_triple_enum = BookEnum
Explaination:
  • The class DataTables works as a bridge to connect the display table and the DB:
    • configures the table's frame according to its internal variable structure
    • serializes the records from DB for displaying (variable serializer)
    • applies the filter condition provided by the table to the DB with the help of its internal variable col_triple_enum
    • customizes the table footer's search field to select field instead of the default input field (variable form)
  • The usage of DataTables is quite simple, you just need to create a subclass for it and define its internal Meta class's variables.
  • So far we just want to have a table with footer search field (in form of input). At last, I will show you how to change the footer search field to select type.
Notice:
  • If your table has a complicated query and you want to customize the query function, you can redefine the functions get_query_dict, get_order_key, filtering, slicing, filter_by_args or process inside your defined subclass of DataTables as you need. In this case you need to read the source code first.
Step 5.

So far we already set up the backend part for using sspdatatables. In this step we start to deal with the frontend part.

Two views functions are needed: one is for rendering the table's frame, another one is for loading the table's content.

Firstly, in file view.py of the app example create the first views function for displaying the tables' frame:

from django.shortcuts import render
from django.http import JsonResponse
from .datatables import BookDataTables
from sspdatatables.utils.decorator import ensure_ajax
from collections import OrderedDict

def overview(request):
    book_datatables = BookDataTables()
    context = book_datatables.get_dt_elements()
    context.update({
        "title": "Books",
    })
    return render(request, 'overview.html', context)
Explaination:
  • through the function get_dt_elements you can get the frame (the return result of function get_dt_elements is a dictionary containing just one key-value pair), and you can also extend the context in case you want to render more variables

Secondly, still in this file create the second views function for loading the content:

@ensure_ajax(['GET'])
def get_book_api(request):
    pre_search_condition = OrderedDict([('select_related', 'author')])
    book_datatables = BookDataTables()
    result = book_datatables.process(pre_search_condition=pre_search_condition,
                                      **request.GET)
    return JsonResponse(result)
Explaination:
  • through the decorator ensure_ajax we can make sure only the ajax request with allowed request method(s) is accepted by the views function.
  • the pre_search_condition parameter of the function process must be an OrderedDict type: - The key in pre_search_condition is the function name in the ModelManager of the model class 'Book', such as selected_related, filter, values etc. - The value in in pre_search_condition is the corresponding function's parameters' values. For example: + if you use select_related as the key, you can input a single value as the related DB table or a list of values. + if you use filter as the key, its value must be a dictionary, in which a key-value pair means a filter key and its corresponding filter value, such as OrderedDict([('filter', {'name__icontains', 'Django'})])
  • the DataTables class gonna iterate the pre_search_condition and apply those conditions by order.
  • since the author is a foreign key in Book model class, we need to set the select_related in pre_search_condition

Thirdly, define the urls for both views functions like:

from django.conf.urls import url
from example.views import overview, get_book_api


urlpatterns = [
    url(r'^books/$', overview, name='book_overview'),
    url(r'^api/$', get_book_api, name='book_api'),
]
Step 6.

In this step we gonna write some html code and javascript code.

  1. prepare a html file for the table, in sspdatatablesExample project I create a html file called overview.html in app example's templates folder. It looks like as following:

     {% extends "index.html" %}
    
     {% load static %}
    
     {% block content %}
     {% endblock %}
    
    
     {% block scripts %}
     {% endblock %}
    
  2. in the block content include the 'datatables/html/table.html file from sspdatatables, and in the block scripts include datatables/js/general.js from sspdatatables.Now the overview.html should be like:

    {% extends "index.html" %}
    
    {% load static %}
    
    {% block content %}
    <div class="row">
        <div class="col-md-12">
        {% include 'datatables/html/table.html' %}
        </div>
    </div>
    {% endblock %}
    
    
    {% block scripts %}
    {% include 'datatables/js/general.js' %}
    // using passed sspdatatables variable in context to replace the footer with input field or select field
    {% include 'datatables/js/footer.js' %}
    {% endblock %}
    
  3. in the block scripts declare an instance of DataTable with the settings you want (here I will provide some common used settings). The overview.html becomes:

    {% extends "index.html" %}
    
    {% load static %}
    
    {% block content %}
    <div class="row">
        <div class="col-md-12">
        {% include 'datatables/html/table.html' %}
        {% csrf_token %}
        </div>
    </div>
    {% endblock %}
    
    
    {% block scripts %}
    {% include 'datatables/js/general.html' %}
    // using passed sspdatatables variable in context to replace the footer with input field or select field
    {% include 'datatables/js/footer.js' %}
    
    <script>
    function render_actions(data, type, row) {
        var content = "";
        content += '<a class="btn btn-warning btn-xs" href="#" data-toggle="tooltip" title="Edit"><i class="fa fa-edit"></i></a>';
        return content;
    }
    
    /* here is the main function */
    $(document).ready(function() {
        // DataTable definition
        var table = $('#example').DataTable({
            "scrollY": "400px",
            "scrollX": true,
            "scrollCollapse": true,
            "order": [[ 1, "asc" ]],   // define the default ordering column and ordering format
            "processing": true,        // Enable or disable the display of a 'processing' indicator when the table is being processed
            "serverSide": true,        // important to use the server side processing
            "deferRender": true,       // read the documentation in datatables website
            "lengthMenu": [[10, 25, 50, 100], [10, 25, 50, 100]],    // length menu, read the documentation
            "paging": true,
            "pagingType": "full_numbers",
            "ajax": {
                "url": '{% url 'book_api' %}',
                "type": "POST",
                "headers": {
                    'X-CSRFToken': $('[name=csrfmiddlewaretoken]').val(),
                },
                "dataSrc":function (json) {
                    return json.data;
                },
                "data": function ( d ) {
                    return $.extend( {}, d, {
                        "total_cols": {{dt_structure|length}},
                    } );
                }
            },
            "columns": [
                // using django loop to define the stucture of the columns
                {% for item in dt_structure %}
                    {
                        "data": {% if item.serializer_key %}'{{item.serializer_key}}'{% else %} null {% endif %}, render: function (data, type, row) {
                            {% if item.id == 'actions' %}
                                return render_actions(data, type, row);
                            {% else %}
                                return data;
                            {% endif %}
                        },
                        "searchable": {% if item.searchable %} true {% else %} false {% endif %},
                        "orderable": {% if item.orderable %} true {% else %} false {% endif %},
                    },
                {% endfor %}
            ],
        });
        // hide the global filter and the footer, since in this view we don't need the footer
        $("#example_filter").hide();
    
        // single line without text wrapping
        $("#example").addClass("nowrap");
    
        // Apply the search
        apply_search(table);
    });
    </script>
    {% endblock %}
    

You can read the documentation in DataTable website to know about the javascript settings.

At this point, we already implement out table for the model class Book. If you want to know how to customize the footer search field, you can go the next step.

Step 7.

in the file forms.py in folder datatables of app example input the following code:

from sspdatatables.forms import AbstractFooterForm
from django.forms import ChoiceField
from django_countries import countries


class BookFieldSelectForm(AbstractFooterForm):
    def get_author_nationality_choices(self):
        return [(None, 'Select')] + list(countries.countries.items())

    class Meta:
        fields = [("author_nationality", ChoiceField),]
Explaination:

in sspdatatables there is a form class called AbstractFooterForm, which simplify the definition of the form class for the footer search field. What you need to do is

  1. in the inside Meta class define the variable fields as a list of 2-element tuples:
    • first element is the id of the column (defined in the variable structure of class BookDataTables in datatables.py file)
    • the second element is its corresponding footer field type (currently it just supports ChoiceField).;
  2. define a function for every element in fields. The name of the function must be get_<first element in the tuple>_choices. And this function return the choices for this select field in form of list of tuples.

After that, there are only two small steps remaining, go to the datatables.py file

  1. set the value of variable form of class BookDataTables to the form class we just defined BookFieldSelectForm
  2. find the corresponding column's frame definition in variable structure of class BookDataTables, change the value of key footer_type to 'select'

The datatables.py file should be:

from sspdatatables.datatables import DataTables
from .serializers import BookSerializer
from .enums import BookEnum
from .forms import BookFieldSelectForm


class BookDataTables(DataTables):

    class Meta:
        serializer = BookSerializer
        form = BookFieldSelectForm
        structure = [
            {
                "id": "actions", "serializer_key": None,
                "header": "Actions", "searchable": False,
                "orderable": False, "footer_type": None,
            },
            {
                "id": "id", "serializer_key": 'id',
                "header": "ID", "searchable": True,
                "orderable": True, "footer_type": "input",
            },
            {
                "id": "name", "serializer_key": 'name',
                "header": "Name", "searchable": True,
                "orderable": True, "footer_type": "input",
            },
            {
                "id": "author", "serializer_key": 'author.name',
                "header": "Author", "searchable": True,
                "orderable": True, "footer_type": "input",
            },
            {
                "id": "author_nationality", "serializer_key": 'author.nationality.name',
                "header": "Author Nationality", "searchable": True,
                "orderable": True, "footer_type": "select",
            },
            {
                "id": "published_at", "serializer_key": 'published_at',
                "header": "Published At", "searchable": True,
                "orderable": True, "footer_type": "input",
                "placeholder": "YYYY-MM-DD",
            },
        ]
        col_triple_enum = BookEnum

Enjoy!

The source code of sspdatatablesExample is included in the package's example folder.

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

sspdatatables-0.1.1.tar.gz (24.6 kB view details)

Uploaded Source

Built Distribution

sspdatatables-0.1.1-py3-none-any.whl (20.7 kB view details)

Uploaded Python 3

File details

Details for the file sspdatatables-0.1.1.tar.gz.

File metadata

  • Download URL: sspdatatables-0.1.1.tar.gz
  • Upload date:
  • Size: 24.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.3

File hashes

Hashes for sspdatatables-0.1.1.tar.gz
Algorithm Hash digest
SHA256 47281bd6d71dc9787305e79dd73ce0a7a0436ed0d7410202df8ec4580e234930
MD5 fdb6ca5af0362b0a6ec66231cee35d5b
BLAKE2b-256 2aa0bb2b110a21480412edd8c1e54acb3cb4cde05919febe88b025097fc92afc

See more details on using hashes here.

File details

Details for the file sspdatatables-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: sspdatatables-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 20.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.3

File hashes

Hashes for sspdatatables-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 de2d847bd53eba866abea40ef1ca5785055d0434e8c2b5e3d84b8c05f429a52c
MD5 cacd3a68ebfc7b52d3f6fbe2d1b827de
BLAKE2b-256 f2ab0a522d5a2d68cc138258ebfa509e00c7d50a345b61e0f2f8e117c0c6f2f3

See more details on using hashes here.

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