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from rest_framework import serializers
from rest_polymorphic.serializers import PolymorphicSerializer
from .models import (ImageClassificationProject,
IntentDetectionAndSlotFillingProject, Project,
Seq2seqProject, SequenceLabelingProject,
Speech2textProject, Tag, TextClassificationProject)
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')
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__()
}
}