I am struggling to figure out how to write a custom serializer in DRF to parse a complex JSON data structure that is being passed to an endpoint. The JSON looks like this:
{
"name": "new",
"site": "US",
"data": {
"settings": [],
"meta": {
"meta1":{}
}
}
}
Here is my backend code:
# views.py
class SaveData(views.APIView):
def post(self, request, *args, **kwargs):
name = request.POST.get('name')
site = request.POST.get('site')
data = request.POST.get('data')
But data
always returns None
. On closer inspection into the request
object, the incoming JSON looks like this:
# POST attribute of request object
'name' = 'new'
'site' = 'US'
'data[settings][0] = ''
'data[meta][meta1][] = ''
Basically it looks like the nested JSON objects associated with the data
key are not getting properly serialized into Python dict
and list
objects. I've been looking for examples of custom DRF serializers but most of the ones I've found have been for serializing Django models, but I don't need to do that. The incoming data does not directly map to my models; instead I need to do some processing before I save any of the data.
Does anyone have any advice on a custom serializer that would properly convert the data
JSON into proper Python objects? I started with this but it throws an exception (When a serializer is passed a 'data' keyword argument you must call '.is_valid()' before attempting to access the serialized '.data' representation.
You should either call '.is_valid()' first, or access '.initial_data' instead.
). Here is my code with the custom serializer I created:
# serializers.py
class SaveDataSerializer(serializers.Serializer):
name = serializers.CharField()
site = serializers.CharField()
data = serializers.DictField()
def create(self, validated_data):
return dict(**validated_data)
Thanks.