django-rest-framework-filters
is an extension to Django REST framework and Django filter
that makes it easy to filter across relationships. Historically, this extension also provided a
number of additional features and fixes, however the number of features has shrunk as they are
merged back into django-filter
.
Using django-rest-framework-filters
, we can easily do stuff like:
/api/article?author__first_name__icontains=john /api/article?is_published!=true
! These docs pertain to the upcoming 1.0 release. Current docs can be found here.
! The 1.0 pre-release is compatible with django-filter 2.x and can be installed with
pip install --pre
.
Table of Contents
- Easy filtering across relationships.
- Support for method filtering across relationships.
- Automatic filter negation with a simple
param!=value
syntax. - Backend for complex operations on multiple filtered querysets. eg,
q1 | q2
.
- Python: 3.4, 3.5, 3.6, 3.7
- Django: 1.11, 2.0, 2.1
- DRF: 3.9
- django-filter: 2.0
Install with pip, or your preferred package manager:
$ pip install djangorestframework-filters
Add to your INSTALLED_APPS
setting:
INSTALLED_APPS = [
'rest_framework_filters',
...
]
Upgrading from django-filter
to django-rest-framework-filters
is straightforward:
- Import from
rest_framework_filters
instead of fromdjango_filters
- Use the
rest_framework_filters
backend instead of the one provided bydjango_filter
.
# django-filter
from django_filters.rest_framework import FilterSet, filters
class ProductFilter(FilterSet):
manufacturer = filters.ModelChoiceFilter(queryset=Manufacturer.objects.all())
...
# django-rest-framework-filters
import rest_framework_filters as filters
class ProductFilter(filters.FilterSet):
manufacturer = filters.ModelChoiceFilter(queryset=Manufacturer.objects.all())
...
To use the django-rest-framework-filters backend, add the following to your settings:
REST_FRAMEWORK = {
'DEFAULT_FILTER_BACKENDS': (
'rest_framework_filters.backends.RestFrameworkFilterBackend', ...
),
...
Once configured, you can continue to use all of the filters found in django-filter
.
You can easily traverse multiple relationships when filtering by using RelatedFilter
:
from rest_framework import viewsets
import rest_framework_filters as filters
class ManagerFilter(filters.FilterSet):
class Meta:
model = Manager
fields = {'name': ['exact', 'in', 'startswith']}
class DepartmentFilter(filters.FilterSet):
manager = filters.RelatedFilter(ManagerFilter, field_name='manager', queryset=Manager.objects.all())
class Meta:
model = Department
fields = {'name': ['exact', 'in', 'startswith']}
class CompanyFilter(filters.FilterSet):
department = filters.RelatedFilter(DepartmentFilter, field_name='department', queryset=Department.objects.all())
class Meta:
model = Company
fields = {'name': ['exact', 'in', 'startswith']}
# company viewset
class CompanyView(viewsets.ModelViewSet):
filter_class = CompanyFilter
...
Example filter calls:
/api/companies?department__name=Accounting /api/companies?department__manager__name__startswith=Bob
Since RelatedFilter
is a subclass of ModelChoiceFilter
, the queryset
argument supports callable behavior.
In the following example, the set of departments is restricted to those in the user's company.
def departments(request):
company = request.user.company
return company.department_set.all()
class EmployeeFilter(filters.FilterSet):
department = filters.RelatedFilter(filterset=DepartmentFilter, queryset=departments)
...
Recursive relations are also supported. Provide the module path as a string in place of the filterset class.
class PersonFilter(filters.FilterSet):
name = filters.AllLookupsFilter(field_name='name')
best_friend = filters.RelatedFilter('people.views.PersonFilter', field_name='best_friend', queryset=Person.objects.all())
class Meta:
model = Person
This feature is also useful for circular relationships, where a related filterset may not yet be created. Note that you can pass the related filterset by name if it's located in the same module as the parent filterset.
class BlogFilter(filters.FilterSet):
post = filters.RelatedFilter('PostFilter', queryset=Post.objects.all())
class PostFilter(filters.FilterSet):
blog = filters.RelatedFilter('BlogFilter', queryset=Blog.objects.all())
django_filters.MethodFilter
has been deprecated and reimplemented as the method
argument
to all filter classes. It incorporates some of the implementation details of the old
rest_framework_filters.MethodFilter
, but requires less boilerplate and is simpler to write.
- It is no longer necessary to perform empty/null value checking.
- You may use any filter class (
CharFilter
,BooleanFilter
, etc...) which will validate input values for you. - The argument signature has changed from
(name, qs, value)
to(qs, name, value)
.
class PostFilter(filters.FilterSet):
# Note the use of BooleanFilter, the original model field's name, and the method argument.
is_published = filters.BooleanFilter(field_name='date_published', method='filter_is_published')
class Meta:
model = Post
fields = ['title', 'content']
def filter_is_published(self, qs, name, value):
"""
`is_published` is based on the `date_published` model field.
If the publishing date is null, then the post is not published.
"""
# incoming value is normalized as a boolean by BooleanFilter
isnull = not value
lookup_expr = LOOKUP_SEP.join([name, 'isnull'])
return qs.filter(**{lookup_expr: isnull})
class AuthorFilter(filters.FilterSet):
posts = filters.RelatedFilter('PostFilter', queryset=Post.objects.all())
class Meta:
model = Author
fields = ['name']
The above would enable the following filter calls:
/api/posts?is_published=true /api/authors?posts__is_published=true
In the first API call, the filter method receives a queryset of posts. In the second, it receives a queryset of users. The filter method in the example modifies the lookup name to work across the relationship, allowing you to find published posts, or authors who have published posts.
FilterSets support automatic exclusion using a simple param!=value
syntax. This syntax
internally sets the exclude
property on the filter.
/api/page?title!=The%20Park
This syntax supports regular filtering combined with exclusion filtering. For example, the following would search for all articles containing "Hello" in the title, while excluding those containing "World".
/api/articles?title__contains=Hello&title__contains!=World
Note that most filters only accept a single query parameter. In the above, title__contains
and title__contains!
are interpreted as two separate query parameters. The following would
probably be invalid, although it depends on the specifics of the individual filter class:
/api/articles?title__contains=Hello&title__contains!=World&title_contains!=Friend
If you need to enable several lookups for a field, django-filter provides the dict-syntax for
Meta.fields
.
class ProductFilter(filters.FilterSet):
class Meta:
model = Product
fields = {
'price': ['exact', 'lt', 'gt', ...],
}
django-rest-framework-filters
also allows you to enable all possible lookups for any field.
This can be achieved through the use of AllLookupsFilter
or using the '__all__'
value in
the Meta.fields
dict-style syntax. Generated filters (Meta.fields
, AllLookupsFilter
)
will never override your declared filters.
Note that using all lookups comes with the same admonitions as enabling '__all__'
fields in
django forms (docs). Exposing all lookups may allow users to construct queries that
inadvertently leak data. Use this feature responsibly.
class ProductFilter(filters.FilterSet):
# Not overridden by `__all__`
price__gt = filters.NumberFilter(field_name='price', lookup_expr='gt', label='Minimum price')
class Meta:
model = Product
fields = {
'price': '__all__',
}
# or
class ProductFilter(filters.FilterSet):
price = filters.AllLookupsFilter()
# Not overridden by `AllLookupsFilter`
price__gt = filters.NumberFilter(field_name='price', lookup_expr='gt', label='Minimum price')
class Meta:
model = Product
You cannot combine AllLookupsFilter
with RelatedFilter
as the filter names would clash.
class ProductFilter(filters.FilterSet):
manufacturer = filters.RelatedFilter('ManufacturerFilter', queryset=Manufacturer.objects.all())
manufacturer = filters.AllLookupsFilter()
To work around this, you have the following options:
class ProductFilter(filters.FilterSet):
manufacturer = filters.RelatedFilter('ManufacturerFilter', queryset=Manufacturer.objects.all())
class Meta:
model = Product
fields = {
'manufacturer': '__all__',
}
# or
class ProductFilter(filters.FilterSet):
manufacturer = filters.RelatedFilter('ManufacturerFilter', queryset=Manufacturer.objects.all(), lookups='__all__') # `lookups` also accepts a list
class Meta:
model = Product
Yes you can. django-rest-framework-filters
is simply an extension of django-filter
. Note
that RelatedFilter
and other django-rest-framework-filters
features are designed to work
with rest_framework_filters.FilterSet
and will not function on a django_filters.FilterSet
.
However, the target RelatedFilter.filterset
may point to a FilterSet
from either package,
and both FilterSet
implementations are compatible with the other's DRF backend.
# valid
class VanillaFilter(django_filters.FilterSet):
...
class DRFFilter(rest_framework_filters.FilterSet):
vanilla = rest_framework_filters.RelatedFilter(filterset=VanillaFilter, queryset=...)
# invalid
class DRFFilter(rest_framework_filters.FilterSet):
...
class VanillaFilter(django_filters.FilterSet):
drf = rest_framework_filters.RelatedFilter(filterset=DRFFilter, queryset=...)
djangorestframework-filters is not compatible with form widgets that parse query names that differ from the filter's
attribute name. Although this only practically applies to MultiWidget
, it is a general limitation that affects
custom widgets that also have this behavior. Affected filters include RangeFilter
, DateTimeFromToRangeFilter
,
DateFromToRangeFilter
, TimeRangeFilter
, and NumericRangeFilter
.
To demonstrate the incompatiblity, take the following filterset:
class PostFilter(FilterSet):
publish_date = filters.DateFromToRangeFilter()
The above filter allows users to perform a range
query on the publication date. The filter class internally uses
MultiWidget
to separately parse the upper and lower bound values. The incompatibility lies in that MultiWidget
appends an index to its inner widget names. Instead of parsing publish_date
, it expects publish_date_0
and
publish_date_1
. It is possible to fix this by including the attribute name in the querystring, although this is
not recommended.
?publish_date_0=2016-01-01&publish_date_1=2016-02-01&publish_date=
MultiWidget
is also discouraged since:
core-api
field introspection fails for similar reasons_0
and_1
are less API-friendly than_min
and_max
The recommended solutions are to either:
- Create separate filters for each of the sub-widgets (such as
publish_date_min
andpublish_date_max
). - Use a CSV-based filter such as those derived from
BaseCSVFilter
/BaseInFilter
/BaseRangeFilter
. eg,
?publish_date__range=2016-01-01,2016-02-01
The ComplexFilterBackend
defines a custom querystring syntax and encoding process that enables the expression of
complex queries. This syntax extends standard querystrings with the ability to define multiple sets of parameters
and operators for how the queries should be combined.
! Note that this feature is experimental. Bugs may be encountered, and the backend is subject to change.
To understand the backend more fully, consider a query to find all articles that contain titles starting with either "Who" or "What". The underlying query could be represented with the following:
q1 = Article.objects.filter(title__startswith='Who')
q2 = Article.objects.filter(title__startswith='What')
return q1 | q2
Now consider the query, but modified with upper and lower date bounds:
q1 = Article.objects.filter(title__startswith='Who').filter(publish_date__lte='2005-01-01')
q2 = Article.objects.filter(title__startswith='What').filter(publish_date__gte='2010-01-01')
return q1 | q2
Using just a FilterSet
, it is certainly feasible to represent the former query by writing a custom filter class.
However, it is less feasible with the latter query, where multiple sets of varying data types and lookups need to be
validated. In contrast, the ComplexFilterBackend
can create this complex query through the arbitrary combination
of a simple filter. To support the above, the querystring needs to be created with minimal changes. Unencoded example:
(title__startswith=Who&publish_date__lte=2005-01-01) | (title__startswith=What&publish_date__gte=2010-01-01)
By default, the backend combines queries with both &
(AND) and |
(OR), and supports unary negation ~
. E.g.,
(param1=value1) & (param2=value2) | ~(param3=value3)
The backend supports both standard and complex queries. To perform complex queries, the query must be encoded and set
as the value of the complex_filter_param
(defaults to filters
). To perform standard queries, use the backend
in the same manner as the RestFrameworkFilterBackend
.
Similar to other backends, ComplexFilterBackend
must be added to a view's filter_backends
atribute. Either add
it to the DEFAULT_FILTER_BACKENDS
setting, or set it as a backend on the view class.
REST_FRAMEWORK = {
'DEFAULT_FILTER_BACKENDS': (
'rest_framework_filters.backends.ComplexFilterBackend',
),
}
# or
class MyViewSet(generics.ListAPIView):
filter_backends = (rest_framework_filters.backends.ComplexFilterBackend, )
...
You may customize how queries are combined by subclassing ComplexFilterBackend
and overriding the operators
attribute. operators
is a map of operator symbols to functions that combine two querysets. For example, the map
can be overridden to use the QuerySet.intersection()
and QuerySet.union()
instead of &
and |
.
class CustomizedBackend(ComplexFilterBackend):
operators = {
'&': QuerySet.intersection,
'|': QuerySet.union,
'-': QuerySet.difference,
}
Unary negation
relies on ORM internals and may be buggy in certain circumstances. If there are issues with this
feature, it can be disabled by setting the negation
attribute to False
on the backend class. If you do
experience bugs, please open an issue on the bug tracker.
Below is the procedure for encoding a complex query:
- Convert the query paramaters into individual querystrings.
- URL-encode the individual querystrings.
- Wrap the encoded strings in parentheses, and join with operators.
- URL-encode the entire querystring.
- Set as the value to the complex filter param (e.g.,
?filters=<complex querystring>
).
Note that filters
is the default parameter name and can be overridden in the backend class.
Using the first example, these steps can be visualized as so:
title__startswith=Who
,title__startswith=What
title__startswith%3DWho
,title__startswith%3DWhat
(title__startswith%3DWho) | (title__startswith%3DWhat)
%28title__startswith%253DWho%29%20%7C%20%28title__startswith%253DWhat%29
filters=%28title__startswith%253DWho%29%20%7C%20%28title__startswith%253DWhat%29
ComplexFilterBackend
will raise any decoding errors under the complex filtering parameter name. For example,
{
"filters": [
"Invalid querystring operator. Matched: 'foo'."
]
}
When filtering the querysets, filterset validation errors will be collected and raised under the complex filtering
parameter name, then under the filterset's decoded querystring. For a complex query like (a=1&b=2) | (c=3&d=4)
,
errors would be raised like so:
{
"filters": {
"a=1&b=2": {
"a": ["..."]
},
"c=3&d=4": {
"c": ["..."]
}
}
{
The backend has been renamed from DjangoFilterBackend
to RestFrameworkFilterBackend
and now uses its own
template paths, located under rest_framework_filters
instead of django_filters/rest_framework
.
To load the included templates, it is necessary to add rest_framework_filters
to the INSTALLED_APPS
setting.
The related filterset's model is no longer used to provide the default value for RelatedFilter.queryset
. This
change reduces the chance of unintentionally exposing data in the rendered filter forms. You must now explicitly
provide the queryset
argument, or override the get_queryset()
method (see queryset callables).
django-filter has add a get_filters()
classmethod to it's API, so this method has been renamed.
$ pip install -U twine setuptools wheel
$ rm -rf dist/ build/
$ python setup.py sdist bdist_wheel
$ twine upload dist/*
Copyright (c) 2013-2015 Philip Neustrom <philipn@gmail.com>, 2016-2017 Ryan P Kilby <rpkilby@ncsu.edu>
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