Django Rest Framework: Handling Nested Serializer Validations for Read-Only Fields
I'm not sure how to approach I'm having trouble with I've been banging my head against this for hours. I'm working with Django Rest Framework (version 3.14) and I have a nested serializer that includes some read-only fields. I want to ensure that these read-only fields are correctly validated when creating a new instance, but I'm running into issues where the serializer raises validation errors for these fields, even though they are not supposed to be included in the request data. Here’s the relevant code snippet for my serializers: ```python from rest_framework import serializers from .models import ParentModel, ChildModel class ChildSerializer(serializers.ModelSerializer): class Meta: model = ChildModel fields = ['id', 'name', 'description'] # 'description' is read-only class ParentSerializer(serializers.ModelSerializer): children = ChildSerializer(many=True) class Meta: model = ParentModel fields = ['id', 'title', 'children'] def create(self, validated_data): children_data = validated_data.pop('children') parent = ParentModel.objects.create(**validated_data) for child_data in children_data: ChildModel.objects.create(parent=parent, **child_data) return parent ``` When I send a POST request to create a new `ParentModel`, I include the `children` data, but I'm receiving the following behavior: ``` ValidationError: {'children': [{ 'description': [ 'This field is required.' ] }]} ``` I've tried setting the `required` attribute to `False` for the 'description' field in the `ChildSerializer`, but it doesn't seem to resolve the scenario. I also checked if `Partial=True` might help, but that doesn't work either. How can I prevent these read-only fields from causing validation errors when creating new instances? Are there any best practices for handling such cases in Django Rest Framework? Am I missing something obvious? This is part of a larger application I'm building. What am I doing wrong? I recently upgraded to Python latest. I'm coming from a different tech stack and learning Python. Any suggestions would be helpful.