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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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69 lines
1.8 KiB
69 lines
1.8 KiB
from rest_framework import serializers
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from examples.models import Example
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from label_types.models import CategoryType, SpanType
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from .models import Category, Span, TextLabel, Relation
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class CategorySerializer(serializers.ModelSerializer):
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label = serializers.PrimaryKeyRelatedField(queryset=CategoryType.objects.all())
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example = serializers.PrimaryKeyRelatedField(queryset=Example.objects.all())
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class Meta:
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model = Category
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fields = (
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"id",
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"prob",
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"user",
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"example",
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"created_at",
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"updated_at",
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"label",
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)
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read_only_fields = ("user",)
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class SpanSerializer(serializers.ModelSerializer):
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label = serializers.PrimaryKeyRelatedField(queryset=SpanType.objects.all())
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example = serializers.PrimaryKeyRelatedField(queryset=Example.objects.all())
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class Meta:
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model = Span
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fields = (
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"id",
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"prob",
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"user",
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"example",
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"created_at",
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"updated_at",
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"label",
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"start_offset",
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"end_offset",
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)
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read_only_fields = ("user",)
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class TextLabelSerializer(serializers.ModelSerializer):
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example = serializers.PrimaryKeyRelatedField(queryset=Example.objects.all())
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class Meta:
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model = TextLabel
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fields = (
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"id",
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"prob",
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"user",
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"example",
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"created_at",
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"updated_at",
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"text",
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)
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read_only_fields = ("user",)
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class RelationSerializer(serializers.ModelSerializer):
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def validate(self, attrs):
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return super().validate(attrs)
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class Meta:
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model = Relation
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fields = ("id", "annotation_id_1", "annotation_id_2", "type", "user", "timestamp")
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