Dynamic serializers in DRF
Normally, you define serializers as classes. Something like this:
from rest_framework import serializers
class Wonderful(serializers.Serializer):
is_it = serializers.BooleanField()
But what if you don't have the fields yet? For example, you need to validate dynamic data coming from user. And the user also defines the field types which is stored in the database.
It's possible to do that with python meta classes.
from rest_framework import serializers
Wonderful = type("Wonderful", (serializers.Serializer,), dict(is_it=serializers.BooleanField()))
There must be a simpler way to do this, without using type.
Passing field definitions
This seems to work. Is also much simpler and has the benefit of not using meta programming.
from rest_framework import serializers
class Wonderful(serializers.Serializer):
def __init__(self, field_defs, *args, **kwargs):
super().__init__(*args, **kwargs)
for fn, fd in field_defs.items():
self.fields[fn] = fd
Wonderful(
field_defs=dict(is_it=serializers.BooleanField()),
data={"is_it": False}
)
However, I get this error when trying to use this
It is redundant to specify `source='...'` on field 'DateField' in serializer '...', because it is the same as the field name. Remove the `source` keyword argument.