DRF序列化器is_valid()== True,但是.save()不持久化模型对象

时间:2019-05-14 01:37:41

标签: serialization django-rest-framework

我的列表,检索和销毁操作按预期工作。

HTTP响应= 201“已创建”

addEventHandler

在ViewSet内

override fun doPost(request: HttpServletRequest, response: HttpServletResponse) {
    response.contentType = "image/png"
    response.status = HttpServletResponse.SC_OK
    val diff = ImgDiff.getDifference("img1", "img2", tolerance)
    response.addHeader("diff", diff.toString())
    ImageIO.write(ImageIO.read(File("diffedFile.png")), "PNG", response.outputStream)
}

这是我运行"POST /api/atoms/?uid=04d38ad99b2a4353a18438c651eac5ab&created_at=2019-05-12T22:30:04.725089Z&updated_at=2019-05-12T22:30:07.053148Z&charge=1&mass=2 HTTP/1.1" 201 152 时得到的信息

class AtomViewSet(viewsets.ViewSet):

    def create(self, request):
        serializer = AtomSerializer(data=request.data)
        serializer.is_valid(raise_exception=True)
        # True

        serializer.save()
        # self.perform_create(serializer) # doesn't work
        # self.node.save() # doesn't work
        # headers = self.get_success_headers(serializer.data)
        return Response(serializer.data, status=status.HTTP_201_CREATED,) # headers=headers

尽管鼓励保存输出,但是奇怪的是资源没有保存到数据库中。

我正在针对非模型模型使用ViewSets和自定义序列化程序。 serializer.save()

序列化器

<Atom: {'uid': '04d38ad99b2a4353a18438c651eac5qq', 'created_at': datetime.datetime(2019, 5, 12, 22, 30, 4, 725089, tzinfo=<UTC>), 'updated_at': datetime.datetime(2019, 4, 12, 22, 30, 7, 53148, tzinfo=<UTC>), 'charge': 0.0, 'mass': 1.0}>

我正在看我的序列化器。不确定创建和更新应该包含什么

  

http://www.cdrf.co/3.1/rest_framework.serializers/Serializer.html

1 个答案:

答案 0 :(得分:1)

在您的AtomSerializer中,您实际上并没有保存对象,只是在内存中创建或修改了它的实例,请使用save()将实例持久保存到数据库中。

def create(self, validated_data):
    atom = Atom(**validated_data)
    atom.save()
    # Alternative you could use atom = Atom.objects.create(**validated_data)
    return atom

同样,您的更新方法也需要在修改后保存对象。

def update(self, instance, validated_data):
    for field, value in validated_data.items():
        setattr(instance, field, value)
    instance.save() # <-- saving the instance after setattr
    return instance