| name | django-filter |
| description | django-filter - Django filtering library for querysets with Django REST Framework integration |
| metadata | {"author":"mte90","version":"1.0.0","tags":["django","django-filter","filtering","django-rest-framework","queryset"]} |
django-filter
Django filtering library for dynamically filtering querysets, with full Django REST Framework integration.
Overview
django-filter provides a declarative way to filter querysets based on URL query parameters.
- Declarative - Define filters as Python classes
- DRF Integration - Seamless Django REST Framework support
- Flexible - Custom filter backends and fields
- Auto-generation - FilterSet from Django models
Installation
pip install django-filter
pip install django-filter djangorestframework
Add to INSTALLED_APPS:
INSTALLED_APPS = [
'django_filters',
]
Basic Usage
FilterSet Class
import django_filters
from .models import Product
class ProductFilter(django_filters.FilterSet):
category = django_filters.NumberFilter(field_name='category_id')
name = django_filters.CharFilter(field_name='name', lookup_expr='icontains')
price_min = django_filters.NumberFilter(field_name='price', lookup_expr='gte')
price_max = django_filters.NumberFilter(field_name='price', lookup_expr='lte')
in_stock = django_filters.BooleanFilter(field_name='stock', lookup_expr='gt', method='filter_in_stock')
created_after = django_filters.DateFilter(field_name='created_at', lookup_expr='gte')
created_before = django_filters.DateFilter(field_name='created_at', lookup_expr='lte')
categories = django_filters.CharFilter(field_name='category_id', lookup_expr='in')
order_by = django_filters.OrderingFilter(
fields=['price', 'created_at', 'name'],
field_labels={'price': 'Price', 'created_at': 'Date'}
)
class Meta:
model = Product
fields = ['category', 'name', 'price', 'in_stock', 'is_active']
def filter_in_stock(self, queryset, name, value):
"""Custom filter method for in_stock."""
if value:
return queryset.filter(stock__gt=0)
return queryset.filter(stock=0)
FilterSet with ModelForm
class ProductFilter(django_filters.FilterSet):
class Meta:
model = Product
fields = ['name', 'category', 'price', 'is_active', 'stock']
Django REST Framework Integration
ViewSet Integration
from rest_framework import viewsets
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework import filters
from .models import Product
from .serializers import ProductSerializer
from .filters import ProductFilter
class ProductViewSet(viewsets.ModelViewSet):
queryset = Product.objects.all()
serializer_class = ProductSerializer
filter_backends = [
DjangoFilterBackend,
filters.SearchFilter,
filters.OrderingFilter
]
filterset_class = ProductFilter
filter_fields = ['category', 'is_active']
search_fields = ['name', 'description', 'category__name']
ordering_fields = ['price', 'created_at', 'name']
ordering = ['-created_at']
APIView Integration
from rest_framework.views import APIView
from rest_framework.response import Response
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework import filters
from .models import Product
from .serializers import ProductSerializer
from .filters import ProductFilter
class ProductListView(APIView):
def get(self, request):
queryset = Product.objects.all()
filter_backend = DjangoFilterBackend()
queryset = filter_backend.filter_queryset(request, queryset, self)
serializer = ProductSerializer(queryset, many=True)
return Response(serializer.data)
Filter Types Reference
NumberFilter
price = django_filters.NumberFilter()
price_gt = django_filters.NumberFilter(field_name='price', lookup_expr='gt')
price_range = django_filters.RangeFilter(field_name='price')
CharFilter
name = django_filters.CharFilter(lookup_expr='icontains')
description = django_filters.CharFilter(lookup_expr='contains')
DateFilter / DateTimeFilter
created = django_filters.DateFilter()
created_after = django_filters.DateTimeFilter(field_name='created_at', lookup_expr='gte')
BooleanFilter
is_active = django_filters.BooleanFilter()
is_featured = django_filters.BooleanFilter(field_name='is_featured', distinct=False)
ModelChoiceFilter / ModelMultipleChoiceFilter
category = django_filters.ModelChoiceFilter(
queryset=Category.objects.all(),
empty_label='All Categories'
)
tags = django_filters.ModelMultipleChoiceFilter(
queryset=Tag.objects.all(),
conjoined=True
)
ChoiceFilter
status = django_filters.ChoiceFilter(
choices=Product.STATUS_CHOICES,
empty_label=None
)
UUIDFilter
id = django_filters.UUIDFilter(field_name='id')
AllValuesFilter / AllValuesMultipleFilter
category = django_filters.AllValuesFilter(field_name='category_id')
DateFromToRangeFilter
date_range = django_filters.DateFromToRangeFilter(field_name='created_at')
TimeFromToRangeFilter
time_range = django_filters.TimeFromToRangeFilter(field_name='created_at')
DateTimeFromToRangeFilter
datetime_range = django_filters.DateTimeFromToRangeFilter(field_name='created_at')
NumberRangeFilter
price_range = django_filters.NumberRangeFilter(field_name='price')
Custom Filter Methods
Method Filter with Request Context
class ProductFilter(django_filters.FilterSet):
category = django_filters.NumberFilter(method='filter_by_category')
class Meta:
model = Product
fields = ['category']
def filter_by_category(self, queryset, name, value):
user = self.request.user
if user.is_premium:
return queryset.filter(category_id=value)
return queryset.filter(category_id=value, category__is_premium=False)
Filter with Multiple Fields
class ProductFilter(django_filters.FilterSet):
price_min = django_filters.NumberFilter(field_name='price', lookup_expr='gte')
price_max = django_filters.NumberFilter(field_name='price', lookup_expr='lte')
min_max_price = django_filters.NumberFilter(method='filter_price_range')
def filter_price_range(self, queryset, name, value):
return queryset.filter(price__gte=value)
DRF Tips & Patterns
FilterBackend per Action
class ProductViewSet(viewsets.ModelViewSet):
def get_filter_backends(self):
if self.action == 'list':
return [DjangoFilterBackend, filters.SearchFilter]
return []
class OrderViewSet(viewsets.ModelViewSet):
filter_backends = [DjangoFilterBackend]
filterset_class = OrderFilter
def get_queryset(self):
if not self.request.user.is_staff:
return Order.objects.exclude(status='cancelled')
return Order.objects.all()
Conditional Filter Fields
class ProductFilter(django_filters.FilterSet):
class Meta:
model = Product
fields = []
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
if self.request.user.is_staff:
self.filters['is_active'].field_class = django_filters.BooleanFilter()
Select Related in Filtered Viewsets
class ProductViewSet(viewsets.ModelViewSet):
serializer_class = ProductSerializer
def get_queryset(self):
return Product.objects.select_related('category').prefetch_related('tags')
URL Patterns
Basic
GET /api/products/
GET /api/products/?category=1
GET /api/products/?category=1&price_min=10&price_max=100
GET /api/products/?search=laptop
GET /api/products/?ordering=price
GET /api/products/?ordering=-price
GET /api/products/?categories=1,2,3
With Filterset Class
GET /api/products/?name__icontains=laptop
GET /api/products/?price__gte=10
GET /api/products/?in_stock=true
GET /api/products/?created_after=2024-01-01
Range Filters
GET /api/products/?price_range_min=10&price_range_max=100
GET /api/products/?date_range_after=2024-01-01&date_range_before=2024-12-31
Best Practices
Filter Naming Conventions
price_min = django_filters.NumberFilter(field_name='price', lookup_expr='gte')
price_max = django_filters.NumberFilter(field_name='price', lookup_expr='lte')
Performance
class ProductViewSet(viewsets.ModelViewSet):
def get_queryset(self):
return Product.objects.select_related('category', 'vendor').prefetch_related('tags')
Validation
class ProductFilter(django_filters.FilterSet):
price_min = django_filters.NumberFilter()
price_max = django_filters.NumberFilter()
class Meta:
model = Product
fields = ['price_min', 'price_max']
def validate_price_range(self, cleaned_data):
if cleaned_data.get('price_min') and cleaned_data.get('price_max'):
if cleaned_data['price_min'] > cleaned_data['price_max']:
raise serializers.ValidationError("price_min must be less than price_max")
return cleaned_data
Do
- Use
filterset_class for complex filtering logic
- Use
select_related and prefetch_related to avoid N+1 queries
- Use meaningful filter field names (
price_min, price_max instead of price used twice)
- Add empty labels for optional filters with ModelChoiceFilter
Don't
- Don't expose all model fields as filters - only expose what's needed
- Don't forget to add appropriate indexes on filtered fields
- Don't use filters that require expensive operations without pagination
References