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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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115 lines
4.2 KiB
115 lines
4.2 KiB
from rest_framework import serializers
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from rest_polymorphic.serializers import PolymorphicSerializer
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from .models import Label, Project, Document
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from .models import TextClassificationProject, SequenceLabelingProject, Seq2seqProject
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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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annotations = serializers.SerializerMethodField()
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def get_annotations(self, instance):
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request = self.context.get('request')
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project = instance.project
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model = project.get_annotation_class()
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serializer = project.get_annotation_serializer()
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annotations = model.objects.filter(document=instance.id)
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if request:
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annotations = annotations.filter(user=request.user)
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serializer = serializer(annotations, many=True)
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return serializer.data
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class Meta:
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model = Document
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fields = ('id', 'text', 'annotations', 'meta')
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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', 'guideline', 'users', 'project_type', 'image', 'updated_at')
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read_only_fields = ('image', 'updated_at')
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class TextClassificationProjectSerializer(serializers.ModelSerializer):
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class Meta:
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model = TextClassificationProject
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fields = ('id', 'name', 'description', 'guideline', 'users', 'project_type', 'image', 'updated_at')
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read_only_fields = ('image', 'updated_at', 'users')
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class SequenceLabelingProjectSerializer(serializers.ModelSerializer):
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class Meta:
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model = SequenceLabelingProject
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fields = ('id', 'name', 'description', 'guideline', 'users', 'project_type', 'image', 'updated_at')
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read_only_fields = ('image', 'updated_at', 'users')
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class Seq2seqProjectSerializer(serializers.ModelSerializer):
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class Meta:
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model = Seq2seqProject
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fields = ('id', 'name', 'description', 'guideline', 'users', 'project_type', 'image', 'updated_at')
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read_only_fields = ('image', 'updated_at', 'users')
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class ProjectPolymorphicSerializer(PolymorphicSerializer):
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model_serializer_mapping = {
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Project: ProjectSerializer,
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TextClassificationProject: TextClassificationProjectSerializer,
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SequenceLabelingProject: SequenceLabelingProjectSerializer,
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Seq2seqProject: Seq2seqProjectSerializer
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}
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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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label = serializers.PrimaryKeyRelatedField(queryset=Label.objects.all())
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document = serializers.PrimaryKeyRelatedField(queryset=Document.objects.all())
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class Meta:
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model = DocumentAnnotation
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fields = ('id', 'prob', 'label', 'user', 'document')
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read_only_fields = ('user', )
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class SequenceAnnotationSerializer(serializers.ModelSerializer):
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#label = ProjectFilteredPrimaryKeyRelatedField(queryset=Label.objects.all())
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label = serializers.PrimaryKeyRelatedField(queryset=Label.objects.all())
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document = serializers.PrimaryKeyRelatedField(queryset=Document.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', 'user', 'document')
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read_only_fields = ('user',)
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class Seq2seqAnnotationSerializer(serializers.ModelSerializer):
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document = serializers.PrimaryKeyRelatedField(queryset=Document.objects.all())
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class Meta:
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model = Seq2seqAnnotation
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fields = ('id', 'text', 'user', 'document')
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read_only_fields = ('user',)
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