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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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28 lines
980 B
28 lines
980 B
from django.test import TestCase
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from mixer.backend.django import mixer
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from ..serializers import LabelSerializer
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from ..serializers import Seq2seqAnnotationSerializer
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class TestLabelSerializer(TestCase):
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def test_create(self):
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label = mixer.blend('server.Label')
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serializer = LabelSerializer(label)
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self.assertIsInstance(serializer.data, dict)
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def test_annotation(self):
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from rest_framework import serializers
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from ..models import Seq2seqDocument
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class HogeSerializer(serializers.ModelSerializer):
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seq2seq_annotations = Seq2seqAnnotationSerializer(many=True)
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class Meta:
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model = Seq2seqDocument
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fields = ('id', 'text', 'seq2seq_annotations')
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doc = mixer.blend('server.Seq2seqDocument')
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ann = mixer.blend('server.Seq2seqAnnotation')
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doc.seq2seq_annotations.add(ann)
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serializer = HogeSerializer(doc)
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print(serializer.data)
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