django-url-filter 0.3.2

Django URL Filter provides a safe way to filter data via human-friendly URLs.

Django URL Filter provides a safe way to filter data via human-friendly URLs.

• Free software: MIT license

• GitHub: https://github.com/miki725/django-url-filter

• Documentation: http://django-url-filter.readthedocs.io/

Overview

The main goal of Django URL Filter is to provide an easy URL interface for filtering data. It allows the user to safely filter by model attributes and also allows to specify the lookup type for each filter (very much like Django’s filtering system in ORM).

For example the following will retrieve all items where the id is 5 and title contains "foo":

example.com/listview/?id=5&title__contains=foo

In addition to basic lookup types, Django URL Filter allows to use more sophisticated lookups such as in or year. For example:

example.com/listview/?id__in=1,2,3&created__year=2013

Requirements

• Python 2.7, 3.x, pypy or pypy3

• Django 1.8+ (there are plans to support older Django versions)

• Django REST Framework 2 or 3 (only if you want to use DRF integration)

Installing

Easiest way to install this library is by using pip:

$ pip install django-url-filter

Usage Example

To make example short, it demonstrates Django URL Filter integration with Django REST Framework but it can be used without DRF (see below).

class UserViewSet(ModelViewSet):
    queryset = User.objects.all()
    serializer_class = UserSerializer
    filter_backends = [DjangoFilterBackend]
    filter_fields = ['username', 'email']

Alternatively filterset can be manually created and used directly to filter querysets:

class UserFilterSet(ModelFilterSet):
    class Meta(object):
        model = User

query = QueryDict('email__contains=gmail&joined__gt=2015-01-01')
fs = UserFilterSet(data=query, queryset=User.objects.all())
filtered_users = fs.filter()

Above will automatically allow the use of all of the Django URL Filter features. Some possibilities:

# get user with id 5
example.com/users/?id=5

# get user with id either 5, 10 or 15
example.com/users/?id__in=5,10,15

# get user with id between 5 and 10
example.com/users/?id__range=5,10

# get user with username "foo"
example.com/users/?username=foo

# get user with username containing case insensitive "foo"
example.com/users/?username__icontains=foo

# get user where username does NOT contain "foo"
example.com/users/?username__icontains!=foo

# get user who joined in 2015 as per user profile
example.com/users/?profile__joined__year=2015

# get user who joined in between 2010 and 2015 as per user profile
example.com/users/?profile__joined__range=2010-01-01,2015-12-31

# get user who joined in after 2010 as per user profile
example.com/users/?profile__joined__gt=2010-01-01

Features

• Human-friendly URLs

  Filter querystring format looks very similar to syntax for filtering in Django ORM. Even negated filters are supported! Some examples:

  example.com/users/?email__contains=gmail&joined__gt=2015-01-01
  example.com/users/?email__contains!=gmail  # note !

• Related models

  Support related fields so that filtering can be applied to related models. For example:

  example.com/users/?profile__nickname=foo

• Decoupled filtering

  How URLs are parsed and how data is filtered is decoupled. This allows the actual filtering logic to be decoupled from Django hence filtering is possible not only with Django ORM QuerySet but any set of data can be filtered (e.g. SQLAlchemy query objects) assuming corresponding filtering backend is implemented.

• Usage-agnostic

  This library decouples filtering from any particular usage-pattern. It implements all the basic building blocks for creating filtersets but it does not assume how they will be used. To make the library easy to use, it ships with some integrations with common usage patterns like integration with Django REST Framework. This means that its easy to use in custom applications with custom requirements (which is probably most of the time!)

History

0.3.2 (2017-05-19)

• Fixed plain backend to return list in Python 3 vs filter() generator which is not compatible with Django pagination since it requires len() to be implemented.

0.3.1 (2017-05-18)

• Fixed bug where default filters were used in root filtersets. As a result additional querystring parameters were validation which broke other functionality such as pagination.

0.3.0 (2017-01-26)

• Added plain objects filtering support. More in docs and GitHub issue #8.

• Added CallableFilter which allows to implement custom filters.

• Normalizing to DRF’s ValidationError when using StrictMode.Fail since filterset raises Django’s ValidationError which caused 500 status code.

• Fixes ModelFilterSet automatic introspection to ignore GenericForeignKey since they dont have form fields associated with them. See #20.

• Releasing with wheels.

0.2.0 (2015-09-12)

• Added SQLAlchemy support.

• FilterSet instances have much more useful __repr__ which shows all filters at a glance. For example:

  >>> PlaceFilterSet()
  PlaceFilterSet()
    address = Filter(form_field=CharField, lookups=ALL, default_lookup="exact", is_default=False)
    id = Filter(form_field=IntegerField, lookups=ALL, default_lookup="exact", is_default=True)
    name = Filter(form_field=CharField, lookups=ALL, default_lookup="exact", is_default=False)
    restaurant = RestaurantFilterSet()
      serves_hot_dogs = Filter(form_field=BooleanField, lookups=ALL, default_lookup="exact", is_default=False)
      serves_pizza = Filter(form_field=BooleanField, lookups=ALL, default_lookup="exact", is_default=False)
      waiter = WaiterFilterSet()
        id = Filter(form_field=IntegerField, lookups=ALL, default_lookup="exact", is_default=True)
        name = Filter(form_field=CharField, lookups=ALL, default_lookup="exact", is_default=False)

0.1.1 (2015-09-06)

• Fixed installation issue where not all subpackages were installed.

0.1.0 (2015-08-30)

• First release on PyPI.

Credits

Development Lead

• Miroslav Shubernetskiy - https://github.com/miki725

Contributors

• João Neto - https://github.com/netjinho

License

The MIT License (MIT)

Copyright (c) 2015, Miroslav Shubernetskiy

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