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__() } }