I have a serializer that implements the BaseSerializer
class in which I'm using the to_representation
function to do a function call like so:
class ItemSerializer(serializers.BaseSerializer):
def to_representation(self, instance):
ret = super().to_representation(instance)
ret['log'] = SERVICE.log(instance.id)
return ret
class Meta:
list_serializer_class = ItemListSerializer
model = models.Item
fields = '__all__'
I also have a list serializer for the same ItemListSerializer
which looks like this:
class ItemListSerializer(serializers.ListSerializer):
def create(self, validated_data):
items = [models.Item(**item) for item in validated_data]
return models.Item.objects.bulk_create(items)
What I want to do is override the to_representation
method in the ItemSerializer
for when I want to get the entire list of Items. I basically want to avoid doing a function call per item and instead do a bulk call for all the items when the list of items is requested for performance reasons.
Is there a good way to do this? I followed these docs for creating the ItemListSerializer
:https://www.django-rest-framework.org/api-guide/serializers/#customizing-listserializer-behavior but it only talks about overriding create and update methods.
You can access all items in ListSerializer.to_representation
It should be a good place to do what you want.
The method looks like this:
def to_representation(self, data):
"""
List of object instances -> List of dicts of primitive datatypes.
"""
# Dealing with nested relationships, data can be a Manager,
# so, first get a queryset from the Manager if needed
iterable = data.all() if isinstance(data, models.Manager) else data
return [
self.child.to_representation(item) for item in iterable
]
But to be honest I don't see what would you gain from it. Your use case looks like it will be no measurable performance boost.