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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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56 lines
1.6 KiB
56 lines
1.6 KiB
from rest_framework import serializers
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from .models import Comment, Example, ExampleState
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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 = (
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"id",
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"user",
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"username",
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"example",
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"text",
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"created_at",
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)
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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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"upload_name",
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]
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read_only_fields = ["filename", "is_confirmed", "upload_name"]
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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", "confirmed_at")
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read_only_fields = ("id", "example", "confirmed_by", "confirmed_at")
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