drf mixins的五大类
ListModelMixin
源码
class ListModelMixin:
"""
List a queryset.
"""
def list(self, request, *args, **kwargs):
queryset = self.filter_queryset(self.get_queryset())
page = self.paginate_queryset(queryset)
if page is not None:
serializer = self.get_serializer(page, many=True)
return self.get_paginated_response(serializer.data)
serializer = self.get_serializer(queryset, many=True)
return Response(serializer.data)
view
class BlogView(ListModelMixin, GenericViewSet):
queryset = models.Blog.objects.order_by('-id').all()
serializer_class = BlogModelSerializer
pagination_class = MyPageNumberPagination
作用
代替查询所有列表的view操作
RetrieveModelMixin
源码
class RetrieveModelMixin:
"""
Retrieve a model instance.
"""
def retrieve(self, request, *args, **kwargs):
instance = self.get_object()
serializer = self.get_serializer(instance)
return Response(serializer.data)
view
class BlogView( RetrieveModelMixin, GenericViewSet):
queryset = models.Blog.objects.order_by('-id').all()
serializer_class = BlogModelSerializer
pagination_class = MyPageNumberPagination
作用
代替查询单个数据的view操作
CreateModelMixin
源码
class CreateModelMixin:
"""
Create a model instance.
"""
def create(self, request, *args, **kwargs):
serializer = self.get_serializer(data=request.data)
serializer.is_valid(raise_exception=True)
self.perform_create(serializer)
headers = self.get_success_headers(serializer.data)
return Response(serializer.data, status=status.HTTP_201_CREATED, headers=headers)
def perform_create(self, serializer):
serializer.save()
def get_success_headers(self, data):
try:
return {'Location': str(data[api_settings.URL_FIELD_NAME])}
except (TypeError, KeyError):
return {}
view
class RegisterView(CreateModelMixin, GenericViewSet):
queryset = models.UserInfo.objects.all()
serializer_class = RegisterModelSerializer
pagination_class = PageNumberPagination
# 重写perform_create
def perform_create(self, serializer):
serializer.validated_data.pop("confirm_password")
serializer.save()
作用
代替创建单个数据的view操作
UpdateModelMixin
源码
class UpdateModelMixin:
"""
Update a model instance.
"""
def update(self, request, *args, **kwargs):
partial = kwargs.pop('partial', False)
instance = self.get_object()
serializer = self.get_serializer(instance, data=request.data, partial=partial)
serializer.is_valid(raise_exception=True)
self.perform_update(serializer)
if getattr(instance, '_prefetched_objects_cache', None):
# If 'prefetch_related' has been applied to a queryset, we need to
# forcibly invalidate the prefetch cache on the instance.
instance._prefetched_objects_cache = {}
return Response(serializer.data)
def perform_update(self, serializer):
serializer.save()
def partial_update(self, request, *args, **kwargs):
kwargs['partial'] = True
return self.update(request, *args, **kwargs)
view
class RegisterView(UpdateModelMixin, GenericViewSet):
queryset = models.UserInfo.objects.all()
serializer_class = RegisterModelSerializer
pagination_class = PageNumberPagination
路由
# 'put': 'update', 全量更新
# 'patch': 'partial_update' 部分更新
urlpatterns = [
path('register/<int:pk>/',
commonViews.RegisterView.as_view({'get': 'retrieve', 'put': 'update', 'patch': 'partial_update'}),
name='register'),
]
作用
代替更新单个数据的view操作
结果
UpdateModelMixin
源码
class DestroyModelMixin:
"""
Destroy a model instance.
"""
def destroy(self, request, *args, **kwargs):
instance = self.get_object()
self.perform_destroy(instance)
return Response(status=status.HTTP_204_NO_CONTENT)
def perform_destroy(self, instance):
instance.delete()
view
class RegisterView( GenericViewSet,DestroyModelMixin):
queryset = models.UserInfo.objects.all()
serializer_class = RegisterModelSerializer
pagination_class = PageNumberPagination
#自定义改状态删除
def perform_destroy(self, instance):
intance.status = 1
instance.save()
路由
path('register/<int:pk>/',
commonViews.RegisterView.as_view( {'delete': 'destroy'}),name='register'),
作用
代替删除单个数据的view操作
结果
本文作者:Sherwin
本文链接:https://www.cnblogs.com/sherwin1995/p/16778019.html
版权声明:本作品采用知识共享署名-非商业性使用-禁止演绎 2.5 中国大陆许可协议进行许可。
【推荐】国内首个AI IDE,深度理解中文开发场景,立即下载体验Trae
【推荐】编程新体验,更懂你的AI,立即体验豆包MarsCode编程助手
【推荐】抖音旗下AI助手豆包,你的智能百科全书,全免费不限次数
【推荐】轻量又高性能的 SSH 工具 IShell:AI 加持,快人一步