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one to one ModelSerializer mutations #482
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,9 @@ | ||
from rest_framework import serializers | ||
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from .models import Character | ||
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class CharacterSerializer(serializers.ModelSerializer): | ||
class Meta: | ||
model = Character | ||
fields = "__all__" |
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Why start accepting
**kwargs
in these functions?There was a problem hiding this comment.
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Hey @Charlex, thanks for reviewing!
IIUC, for any
convert_x_serializer_to_y
, we run these converters on both inputs and resolvers. However, we need to treat inputs differently than resolvers for certain fields likePrimaryKeyRelatedField
. In a mutation, an InputType for aPrimaryKeyRelatedField
should be anID
(String
), but should resolve the entireField
object.In
convert_serializer_field
, we immediately check for the graphene type from the serializer field, but we need to know whether or not the field is an input forPrimaryKeyRelatedField
. So nowconvert_serializer_key_to_field
needs a second argument about whether we are converting for an input or a resolver.We could conditionally pass extra args into
get_graphene_type_from_serializer_field
e.g.:but, I thought it would make sense to let the other
convert_x_serializer_to_y
converters flexibly accept kwargs:If we're cool with this approach, I'd like to also apply this logic to 1:N mutations --
PrimaryKeyRelatedField(many=True)
Happy to adjust the code if there's a better approach!