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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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59 lines
1.9 KiB
59 lines
1.9 KiB
import uuid
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from django.test import TestCase
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from data_import.pipeline.data import BinaryData, TextData
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from examples.models import Example
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from projects.tests.utils import prepare_project
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class TestTextData(TestCase):
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def setUp(self):
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self.dic = {
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"example_uuid": uuid.uuid4(),
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"filename": "test.txt",
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"upload_name": "test.txt",
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"text": "test",
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}
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self.project = prepare_project()
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def test_parse(self):
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data = TextData.parse(**self.dic)
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self.assertIsInstance(data, TextData)
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self.assertEqual(data.uuid, self.dic["example_uuid"])
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self.assertEqual(data.filename, self.dic["filename"])
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self.assertEqual(data.upload_name, self.dic["upload_name"])
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self.assertEqual(data.text, self.dic["text"])
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def test_parse_empty_text(self):
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self.dic["text"] = ""
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with self.assertRaises(ValueError):
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TextData.parse(**self.dic)
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def test_create(self):
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data = TextData.parse(**self.dic)
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example = data.create(self.project.item)
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self.assertIsInstance(example, Example)
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self.assertEqual(example.uuid, self.dic["example_uuid"])
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class TestBinaryData(TestCase):
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def setUp(self):
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self.dic = {
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"example_uuid": uuid.uuid4(),
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"filename": "test.txt",
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"upload_name": "test.txt",
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}
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self.project = prepare_project()
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def test_parse(self):
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data = BinaryData.parse(**self.dic)
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self.assertIsInstance(data, BinaryData)
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self.assertEqual(data.uuid, self.dic["example_uuid"])
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def test_create(self):
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data = BinaryData.parse(**self.dic)
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example = data.create(self.project.item)
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self.assertIsInstance(example, Example)
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self.assertEqual(example.uuid, self.dic["example_uuid"])
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self.assertEqual(example.text, None)
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