在亚马逊,您可以按多个品牌进行过滤,例如。您选择耐克、彪马、阿迪达斯。发送回的查询集包含属于这两个品牌中的任何一个的产品。
如果您有这样的模型:
class Product(models.Model):
name = models.CharField(max_length=100)
description = models.TextField()
brand = models.CharField(max_length=100)
一个序列化器,例如:
class ProductSerializer(serializers.ModelSerializer):
class Meta:
model = models.Product
fields = "__all__"
视图设置如下:
class ProductViewSet(viewsets.ModelViewSet):
serializer_class = serializers.ProductSerializer
permission_classes = [IsAuthenticated]
filter_backends = [filters.ProductMultipleFilterBackend ]
filters.py 文件:
from rest_framework import filters as drf_filters
from django_filters import rest_framework as df_filters
class MultipleField(MultipleChoiceField):
def valid_value(self, value):
return True
class MultipleFilter(df_filters.MultipleChoiceFilter):
field_class = MultipleField
class ProductMultipleFilterBackend(df_filters.FilterSet):
brand = MultipleFilter(lookup_expr="icontains", field_name = "brand")
search = MultipleFilter(lookup_expr="icontains", field_name = "description")
class Meta:
model = models.Product
fields = ["brand", "search"]
上面的代码是我在here找到的。但它已经有 5 年历史了,可能有更好的方法,但我肯定不知道,而且我在代码中遇到以下错误:
filter_queryset() takes 2 positional arguments but 4 were given
这些请求的 url 结构是什么: /someurl?brand=耐克、阿迪达斯、彪马 或者 /someurl?brand=[耐克、阿迪达斯、彪马]
提前致谢!!!!
multiple choice
的正常行为类似于 ?f=v1&f=v2
,而您可以通过使用 widget
传递适当的
CSVWidget
将默认 url 结构更改为逗号分隔值
from django_filters.fields import CSVWidget
class ProductMultipleFilterBackend(df_filters.FilterSet):
brand = MultipleFilter(
lookup_expr="icontains",
field_name = "brand",
widget=CSVWidget
)
...
然后,您可以使用 csv 格式进行过滤,例如:
url?brand=a,b
您只需设置 django-filter 并在视图中添加查找字段即可实现此目的
class VendorFlashListAPI(generics.ListAPIView): #to get flashes with location
model = Flash
serializer_class = VendorFlashSerializer
#adding the backends so that i can find
filter_backends[DjangoFilterBackend]
----------FOCUS HERE ------------
filterset_fields = {
# note the 'in' field
'district': ["in","exact"],
'state ': ["in","exact"],
#with adding "in" i can search like ?district__in=1,2
#with adding "exact" i can search like ?district=1
}
您可以阅读全文这里