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from rest_framework import serializers
from rest_polymorphic.serializers import PolymorphicSerializer
from .models import (
ImageClassificationProject,
IntentDetectionAndSlotFillingProject,
Member,
Project,
Seq2seqProject,
SequenceLabelingProject,
Speech2textProject,
Tag,
TextClassificationProject,
)
class MemberSerializer(serializers.ModelSerializer):
username = serializers.SerializerMethodField()
rolename = serializers.SerializerMethodField()
@classmethod
def get_username(cls, instance):
user = instance.user
return user.username if user else None
@classmethod
def get_rolename(cls, instance):
role = instance.role
return role.name if role else None
class Meta:
model = Member
fields = ("id", "user", "role", "username", "rolename")
class TagSerializer(serializers.ModelSerializer):
class Meta:
model = Tag
fields = (
"id",
"project",
"text",
)
read_only_fields = ("id", "project")
class ProjectSerializer(serializers.ModelSerializer):
tags = TagSerializer(many=True, required=False)
class Meta:
model = Project
fields = [
"id",
"name",
"description",
"guideline",
"project_type",
"updated_at",
"random_order",
"created_by",
"collaborative_annotation",
"single_class_classification",
"is_text_project",
"can_define_label",
"can_define_relation",
"can_define_category",
"can_define_span",
"tags",
]
read_only_fields = (
"updated_at",
"is_text_project",
"can_define_label",
"can_define_relation",
"can_define_category",
"can_define_span",
"tags",
)
class TextClassificationProjectSerializer(ProjectSerializer):
class Meta(ProjectSerializer.Meta):
model = TextClassificationProject
class SequenceLabelingProjectSerializer(ProjectSerializer):
class Meta(ProjectSerializer.Meta):
model = SequenceLabelingProject
fields = ProjectSerializer.Meta.fields + ["allow_overlapping", "grapheme_mode", "use_relation"]
class Seq2seqProjectSerializer(ProjectSerializer):
class Meta(ProjectSerializer.Meta):
model = Seq2seqProject
class IntentDetectionAndSlotFillingProjectSerializer(ProjectSerializer):
class Meta(ProjectSerializer.Meta):
model = IntentDetectionAndSlotFillingProject
class Speech2textProjectSerializer(ProjectSerializer):
class Meta(ProjectSerializer.Meta):
model = Speech2textProject
class ImageClassificationProjectSerializer(ProjectSerializer):
class Meta(ProjectSerializer.Meta):
model = ImageClassificationProject
class ProjectPolymorphicSerializer(PolymorphicSerializer):
model_serializer_mapping = {
Project: ProjectSerializer,
**{cls.Meta.model: cls for cls in ProjectSerializer.__subclasses__()},
}