所以我在django中玩弄序列化器,想在响应中改变我的字段名,当我意识到我的改变没有被计入时,我做了一些调查,看到我的validated_data与我的数据不同。
我在这里的目标是给一个串行器的python对象,它的字段与我想返回的名称不同,所以我使用'source='参数到我的字段。
请注意,改变python对象的字段名不是一个选项。
这里是python对象。
class Flow(object):
"""Just a regular python object"""
def __init__(self, name=None, flow_uid=None, data_type=None, parent=None, container=None):
"""This has more fields than the serializer is waiting"""
self._parent = None
self._container = None
self.name = name
self.data_type = data_type
self.flow_uid = flow_uid
还有下面的序列器(我使用的是嵌套表示) serializers.py
from rest_framework.fields import CharField, IntegerField, ListField, JSONField
from rest_framework.serializers import Serializer
class OutputSerializer(Serializer):
uid = CharField(max_length=36)
name = CharField(max_length=100)
description = CharField(max_length=100)
class FlowSerializer(Serializer):
uid = CharField(source='flow_uid', max_length=36) # I want 'uid' in my response not 'flow_uid'
name = CharField(max_length=100)
data_type = CharField(max_length=100)
class Meta:
fields = '___all___'
def to_representation(self, instance):
instance = super(FlowSerializer, self).to_representation(instance)
#Here instance = OrderedDict([('uid', 'uid_value'), ('name', 'name_value'), ('data_type', 'data_value')])
return instance
class FlowOutputSerializer(OutputSerializer):
columns = FlowSerializer(many=True)
视图集.py
class AddTransformationViewSet(ViewSet):
"""Handle available "actions" for BrickModel operations"""
def list(self, request, parent_lookup_analyses: str):
"""The method I call for this test"""
flow1 = Flow(name="name1", flow_uid='flow_uid_value1', data_type='str')
flow2 = Flow(name="name2", flow_uid='flow_uid_value2', data_type='str')
flow1_ser = FlowSerializer(flow1)
flow2_ser = FlowSerializer(flow2)
dummy_col = {
"name": "output_name",
"description": "output_description",
"uid": "output_uid",
"columns":
[
flow2_ser.data, # Debug: {'uid': 'flow_uid_value2', 'name': 'name2', 'data_type': 'str'}
flow1_ser.data # Debug: {'uid': 'flow_uid_value1', 'name': 'name1', 'data_type': 'str'}
]
}
#Debug dummy_col: {'name': 'output_name', 'description': 'output_description', 'uid': 'output_uid', 'columns': [{'uid': 'flow_uid_value2', 'name': 'name2', 'data_type': 'str'}, {'uid': 'flow_uid_value1', 'name': 'name1', 'data_type': 'str'}]}
dummy_serializer: FlowOutputSerializer = FlowOutputSerializer(data=dummy_col)
dummy_serializer.is_valid(raise_exception=True)
# Debug dummy_serializer.data: {'uid': 'output_uid', 'name': 'output_name', 'description': 'output_description', 'columns': [OrderedDict([('uid', 'flow_uid_value2'), ('name', 'name2'), ('data_type', 'str')]), OrderedDict([('uid', 'flow_uid_value1'), ('name', 'name1'), ('data_type', 'str')])]}
# Debug dummy_serializer.validated_data: OrderedDict([('uid', 'output_uid'), ('name', 'output_name'), ('description', 'output_description'), ('columns', [OrderedDict([('flow_uid', 'flow_uid_value2'), ('name', 'name2'), ('data_type', 'str')]), OrderedDict([('flow_uid', 'flow_uid_value1'), ('name', 'name1'), ('data_type', 'str')])])])
return Response(data=dummy_serializer.validated_data, status=status.HTTP_201_CREATED)
Expected_response:
{
...
"columns": [
{
"uid": "flow_uid_value2",
"name": "name2",
"data_type": "str"
},
{
"uid": "flow_uid_value1",
"name": "name1",
"data_type": "str"
}
]
}
我得到的是(我希望'flow_uid'是'uid')。
{
...
"columns": [
{
"flow_uid": "flow_uid_value2",
"name": "name2",
"data_type": "str"
},
{
"flow_uid": "flow_uid_value1",
"name": "name1",
"data_type": "str"
}
]
}
在这种情况下使用.data而不是.validated_data会不会有什么特别的危险呢?
在这种情况下使用.data而不是.validated_data有什么特别的危险吗?这种行为的原因是什么?
serializer.validated_data
是为了与Python对象一起使用。因此,它将暴露出 flow_uid
因为习俗 source
值的序列化结果。
serializer.data
将是序列化的结果。save()
之后 save
已被称为。
因此,你 应 惯用 serializer.data
在你的回答中,并保持 serializer.validated_data
在任何与模型或内部项目代码交互的代码中。
Response(data=dummy_serializer.data, status=status.HTTP_201_CREATED)