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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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50 lines
1.4 KiB
50 lines
1.4 KiB
from rest_framework import serializers
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from .models import Example, ExampleState, Comment
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class CommentSerializer(serializers.ModelSerializer):
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class Meta:
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model = Comment
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fields = ('id', 'user', 'username', 'example', 'text', 'created_at', )
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read_only_fields = ('user', 'example')
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class ExampleSerializer(serializers.ModelSerializer):
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annotation_approver = serializers.SerializerMethodField()
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is_confirmed = serializers.SerializerMethodField()
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@classmethod
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def get_annotation_approver(cls, instance):
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approver = instance.annotations_approved_by
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return approver.username if approver else None
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def get_is_confirmed(self, instance):
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user = self.context.get('request').user
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if instance.project.collaborative_annotation:
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states = instance.states.all()
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else:
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states = instance.states.filter(confirmed_by_id=user.id)
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return states.count() > 0
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class Meta:
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model = Example
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fields = [
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'id',
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'filename',
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'meta',
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'annotation_approver',
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'comment_count',
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'text',
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'is_confirmed'
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]
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read_only_fields = ['filename', 'is_confirmed']
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class ExampleStateSerializer(serializers.ModelSerializer):
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class Meta:
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model = ExampleState
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fields = ('id', 'example', 'confirmed_by')
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read_only_fields = ('id', 'example', 'confirmed_by')
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