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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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30 lines
1.3 KiB
30 lines
1.3 KiB
from django.test import TestCase
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from model_mommy import mommy
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from data_export.models import ExportedExample
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from projects.tests.utils import prepare_project
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class TestExportedExample(TestCase):
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def prepare_data(self, collaborative=False):
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self.project = prepare_project(collaborative_annotation=collaborative)
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self.example1 = mommy.make("ExportedExample", project=self.project.item)
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self.example2 = mommy.make("ExportedExample", project=self.project.item)
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mommy.make("ExampleState", example=self.example1, confirmed_by=self.project.admin)
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def test_collaborative(self):
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self.prepare_data(collaborative=True)
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examples = ExportedExample.objects.confirmed(self.project.item)
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self.assertEqual(examples.count(), 1)
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self.assertEqual(examples.first(), self.example1)
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def test_filter_by_confirmed_user(self):
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self.prepare_data(collaborative=False)
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examples = ExportedExample.objects.confirmed(self.project.item, user=self.project.admin)
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self.assertEqual(examples.count(), 1)
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self.assertEqual(examples.first(), self.example1)
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def test_filter_by_unconfirmed_user(self):
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self.prepare_data(collaborative=False)
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examples = ExportedExample.objects.confirmed(self.project.item, user=self.project.annotator)
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self.assertEqual(examples.count(), 0)
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