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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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67 lines
2.0 KiB
67 lines
2.0 KiB
from rest_framework import serializers
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from .models import Label, Project, Document
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from .models import DocumentAnnotation, SequenceAnnotation, Seq2seqAnnotation
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class LabelSerializer(serializers.ModelSerializer):
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class Meta:
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model = Label
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fields = ('id', 'text', 'shortcut', 'background_color', 'text_color')
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class DocumentSerializer(serializers.ModelSerializer):
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class Meta:
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model = Document
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fields = ('id', 'text')
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class ProjectSerializer(serializers.ModelSerializer):
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class Meta:
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model = Project
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fields = ('id', 'name', 'description', 'users', 'project_type', 'image')
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class ProjectFilteredPrimaryKeyRelatedField(serializers.PrimaryKeyRelatedField):
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def get_queryset(self):
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view = self.context.get('view', None)
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request = self.context.get('request', None)
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queryset = super(ProjectFilteredPrimaryKeyRelatedField, self).get_queryset()
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if not request or not queryset or not view:
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return None
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return queryset.filter(project=view.kwargs['project_id'])
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class DocumentAnnotationSerializer(serializers.ModelSerializer):
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label = ProjectFilteredPrimaryKeyRelatedField(queryset=Label.objects.all())
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class Meta:
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model = DocumentAnnotation
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fields = ('id', 'prob', 'label')
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def create(self, validated_data):
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annotation = DocumentAnnotation.objects.create(**validated_data)
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return annotation
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class SequenceAnnotationSerializer(serializers.ModelSerializer):
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label = ProjectFilteredPrimaryKeyRelatedField(queryset=Label.objects.all())
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class Meta:
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model = SequenceAnnotation
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fields = ('id', 'prob', 'label', 'start_offset', 'end_offset')
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def create(self, validated_data):
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annotation = SequenceAnnotation.objects.create(**validated_data)
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return annotation
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class Seq2seqAnnotationSerializer(serializers.ModelSerializer):
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class Meta:
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model = Seq2seqAnnotation
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fields = ('id', 'text')
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