Restful_framework视图组件代码实例解析
一、基本视图
写一个出版社的增删查改resful接口
要自己事先创建好django项目,并创建好表,添加完记录
路由:
url(r'^publish/$', views.PublishView.as_view()),
url(r'^publish/(?P<pk>\d+)/$', views.PublishDetailView.as_view()),
视图:
from api import modelsfrom rest_framework import serializersfrom rest_framework.response import Responsefrom rest_framework.views import APIView
class PublishSerializers(serializers.ModelSerializer):
class Meta:
model=models.Publish
fields='__all__'
class PublishView(APIView):
#查询出版社表中所有记录
def get(self, request):
publish_list = models.Publish.objects.all()
bs = PublishSerializers(publish_list, many=True)
# 序列化数据
return Response(bs.data) #返回的结果是列表中套字典
def post(self, request):
# 添加一条数据
print(request.data)
bs=PublishSerializers(data=request.data)
if bs.is_valid():
bs.save() # 生成记录
return Response(bs.data) #返回的是添加成功记录的字典
else:
return Response(bs.errors)
class PublishDetailView(APIView): #查询某一条数据
def get(self,request,pk):
publish_obj=models.Publish.objects.filter(pk=pk).first()
bs=PublishSerializers(publish_obj,many=False)
return Response(bs.data) #更新某一条数据
def put(self,request,pk):
publish_obj = models.Publish.objects.filter(pk=pk).first()
bs=PublishSerializers(data=request.data,instance=publish_obj)
if bs.is_valid():
bs.save() # update
return Response(bs.data)
else:
return Response(bs.errors) #删除某一条数据
def delete(self,request,pk):
models.Publish.objects.filter(pk=pk).delete()
return Response("")
二、mixins类和generic类编写视图
路由:
url(r'^publishes$', views.Publish.as_view()),
url(r'^publish/(?P<pk>\d+)', views.PublishDetail.as_view()),
视图:
from api import models
from rest_framework import serializers
from rest_framework import mixins
from rest_framework.generics import GenericAPIView
class PublishSer(serializers.ModelSerializer):
class Meta:
model=models.Publish
fields='__all__'
class Publish(GenericAPIView,mixins.ListModelMixin,mixins.CreateModelMixin):
queryset = models.Publish.objects.all()
serializer_class = PublishSer
def get(self,request):
return self.list(request) #在ListModelMixin下有一个list方法,返回的就是查询的结果:Response(serializer.data)
def post(self,request):
return self.create(request) #已经封装好了,帮我们做校验和序列化,返回的是添加成功的记录
class PublishDetail(GenericAPIView,mixins.DestroyModelMixin,mixins.RetrieveModelMixin,mixins.UpdateModelMixin):
queryset = models.Publish.objects.all()
serializer_class = PublishSer
def get(self,request,*args, **kwargs):
return self.retrieve(request,*args, **kwargs)
def put(self,request,*args, **kwargs):
return self.update(request,*args, **kwargs)
def delete(self,request,*args, **kwargs):
return self.destroy(request,*args, **kwargs)
三、使用generic下ListCreateAPIView和RetrieveUpdateDestroyAPIView
路由:
url(r'^publishes$', views.Publish.as_view()),
url(r'^publish/(?P<pk>\d+)', views.PublishDetail.as_view()),
视图:
from api import models
from rest_framework import mixins
from rest_framework.generics import GenericAPIView
from rest_framework.generics import ListCreateAPIView,RetrieveUpdateDestroyAPIView
from rest_framework import serializers
class Publishser(serializers.ModelSerializer):
class Meta:
model=models.Publish
fields='__all__'
class Publish(ListCreateAPIView):
queryset = models.Publish.objects.all()
serializer_class = Publishser
class PublishDetail(RetrieveUpdateDestroyAPIView):
queryset = models.Publish.objects.all()
serializer_class = Publishser
四、使用ModelViewSet
路由:
url(r'^publish$',views.Publish.as_view({'get':'list','post':'create'})),
url(r'^publish/(?P<pk>\d+)', views.Publish.as_view({'get': 'retrieve', 'put': 'update', 'delete': 'destroy'})),
视图:
from rest_framework.viewsets import ModelViewSet
from api import models
from rest_framework import serializers
class Publishser(serializers.ModelSerializer):
class Meta:
model=models.Publish
fields='__all__'
class Publish(ModelViewSet):
queryset = models.Publish.objects.all()
serializer_class = Publishser
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持脚本之家。
相关文章
分享15 个python中的 Scikit-Learn 技能
这篇文章主要介绍了分享15 个python中的 Scikit-Learn 技能,Scikit-Learn 是一个非常棒的 python 库,用于实现机器学习模型和统计建模,有降维、特征选择、特征提取、集成技术等特征,下文相关内容需要的朋友可以参考一下2022-03-03
Python中多进程处理的Process和Pool的用法详解
在Python编程中,多进程是一种强大的并行处理技术,Python提供了两种主要的多进程处理方式:Process和Pool,本文将详细介绍这两种方式的使用,希望对大家有所帮助2024-02-02
pandas中的DataFrame按指定顺序输出所有列的方法
下面小编就为大家分享一篇pandas中的DataFrame按指定顺序输出所有列的方法,具有很好的参考价值,希望对大家有所帮助。一起跟随小编过来看看吧2018-04-04


最新评论