Django Rest Framework: Unexpected 500 scenarios When Using Serializers for Nested Relationships
I'm working on a Django project using Django Rest Framework (DRF) 3.12.4, and I'm working with a 500 Internal Server behavior when I try to create an object with nested relationships. My models include `Author` and `Book`, where a `Book` has a foreign key to `Author`. Here's a simplified version of my models: ```python class Author(models.Model): name = models.CharField(max_length=100) class Book(models.Model): title = models.CharField(max_length=200) author = models.ForeignKey(Author, related_name='books', on_delete=models.CASCADE) ``` I created serializers for both models like this: ```python from rest_framework import serializers class AuthorSerializer(serializers.ModelSerializer): class Meta: model = Author fields = ['id', 'name'] class BookSerializer(serializers.ModelSerializer): author = AuthorSerializer() class Meta: model = Book fields = ['id', 'title', 'author'] ``` When I try to POST a new `Book` like this: ```json { "title": "A Great Book", "author": { "name": "John Doe" } } ``` I receive a 500 behavior and I need to figure out why. I've checked the server logs and they show the following traceback: ``` TypeError: __init__() got an unexpected keyword argument 'name' ``` I suspect the scenario is related to how I'm handling the nested `Author` serializer during the creation of a `Book`. I've tried overriding the `create` method in the `BookSerializer` like this: ```python class BookSerializer(serializers.ModelSerializer): author = AuthorSerializer() class Meta: model = Book fields = ['id', 'title', 'author'] def create(self, validated_data): author_data = validated_data.pop('author') author = Author.objects.create(**author_data) book = Book.objects.create(author=author, **validated_data) return book ``` However, this doesn't seem to solve the scenario; I still get the same behavior. I've also verified that the database migrations are up to date and that the `Author` model is functioning correctly on its own. Any guidance on resolving this scenario would be greatly appreciated! The stack includes Python and several other technologies.