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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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266 lines
11 KiB
266 lines
11 KiB
import pathlib
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from unittest.mock import patch
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from auto_labeling_pipeline.mappings import AmazonComprehendSentimentTemplate
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from auto_labeling_pipeline.models import RequestModelFactory
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from model_mommy import mommy
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from rest_framework import status
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from rest_framework.reverse import reverse
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from api.models import DOCUMENT_CLASSIFICATION, SEQUENCE_LABELING, SEQ2SEQ
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from labels.models import Category, Span, TextLabel
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from api.tests.api.utils import CRUDMixin, make_doc, prepare_project
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from auto_labeling.pipeline.labels import Categories, Spans, Texts
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data_dir = pathlib.Path(__file__).parent / 'data'
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class TestTemplateList(CRUDMixin):
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def setUp(self):
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self.project = prepare_project(task=DOCUMENT_CLASSIFICATION)
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self.url = reverse(viewname='auto_labeling_templates', args=[self.project.item.id])
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def test_allow_admin_to_fetch_template_list(self):
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self.url += '?task_name=DocumentClassification'
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response = self.assert_fetch(self.project.admin, status.HTTP_200_OK)
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self.assertIn('Custom REST Request', response.data)
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self.assertGreaterEqual(len(response.data), 1)
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def test_deny_project_staff_to_fetch_template_list(self):
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self.url += '?task_name=DocumentClassification'
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for user in self.project.staffs:
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self.assert_fetch(user, status.HTTP_403_FORBIDDEN)
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def test_return_only_default_template_with_empty_task_name(self):
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response = self.assert_fetch(self.project.admin, status.HTTP_200_OK)
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self.assertEqual(len(response.data), 1)
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self.assertIn('Custom REST Request', response.data)
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def test_return_only_default_template_with_wrong_task_name(self):
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self.url += '?task_name=foobar'
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response = self.assert_fetch(self.project.admin, status.HTTP_200_OK)
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self.assertEqual(len(response.data), 1)
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self.assertIn('Custom REST Request', response.data)
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class TestConfigParameter(CRUDMixin):
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def setUp(self):
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self.project = prepare_project(task=DOCUMENT_CLASSIFICATION)
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self.data = {
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'model_name': 'GCP Entity Analysis',
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'model_attrs': {'key': 'hoge', 'type': 'PLAIN_TEXT', 'language': 'en'},
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'text': 'example'
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}
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self.url = reverse(viewname='auto_labeling_parameter_testing', args=[self.project.item.id])
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@patch('auto_labeling.views.RestAPIRequestTesting.send_request', return_value={})
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def test_called_with_proper_model(self, mock):
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self.assert_create(self.project.admin, status.HTTP_200_OK)
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_, kwargs = mock.call_args
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expected = RequestModelFactory.create(self.data['model_name'], self.data['model_attrs'])
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self.assertEqual(kwargs['model'], expected)
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@patch('auto_labeling.views.RestAPIRequestTesting.send_request', return_value={})
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def test_called_with_text(self, mock):
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self.assert_create(self.project.admin, status.HTTP_200_OK)
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_, kwargs = mock.call_args
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self.assertEqual(kwargs['example'], self.data['text'])
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@patch('auto_labeling.views.RestAPIRequestTesting.send_request', return_value={})
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def test_called_with_image(self, mock):
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self.data['text'] = str(data_dir / 'images/1500x500.jpeg')
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self.assert_create(self.project.admin, status.HTTP_200_OK)
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_, kwargs = mock.call_args
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self.assertEqual(kwargs['example'], self.data['text'])
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class TestTemplateMapping(CRUDMixin):
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def setUp(self):
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self.project = prepare_project(task=DOCUMENT_CLASSIFICATION)
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self.data = {
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'response': {
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'Sentiment': 'NEUTRAL',
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'SentimentScore': {
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'Positive': 0.004438233096152544,
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'Negative': 0.0005306027014739811,
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'Neutral': 0.9950305223464966,
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'Mixed': 5.80838445785048e-7
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}
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},
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'template': AmazonComprehendSentimentTemplate().load(),
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'task_type': 'Category'
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}
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self.url = reverse(viewname='auto_labeling_template_test', args=[self.project.item.id])
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def test_template_mapping(self):
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response = self.assert_create(self.project.admin, status.HTTP_200_OK)
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expected = [{'label': 'NEUTRAL'}]
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self.assertEqual(response.json(), expected)
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def test_json_decode_error(self):
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self.data['template'] = ''
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self.assert_create(self.project.admin, status.HTTP_400_BAD_REQUEST)
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class TestLabelMapping(CRUDMixin):
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def setUp(self):
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self.project = prepare_project(task=DOCUMENT_CLASSIFICATION)
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self.data = {
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'response': [{'label': 'NEGATIVE'}],
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'label_mapping': {'NEGATIVE': 'Negative'},
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'task_type': 'Category'
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}
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self.url = reverse(viewname='auto_labeling_mapping_test', args=[self.project.item.id])
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def test_label_mapping(self):
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response = self.assert_create(self.project.admin, status.HTTP_200_OK)
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expected = [{'label': 'Negative'}]
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self.assertEqual(response.json(), expected)
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class TestConfigCreation(CRUDMixin):
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def setUp(self):
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self.project = prepare_project(task=DOCUMENT_CLASSIFICATION)
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self.data = {
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'model_name': 'Amazon Comprehend Sentiment Analysis',
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'model_attrs': {
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'aws_access_key': 'str',
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'aws_secret_access_key': 'str',
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'region_name': 'us-east-1',
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'language_code': 'en'
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},
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'template': AmazonComprehendSentimentTemplate().load(),
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'label_mapping': {'NEGATIVE': 'Negative'},
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'task_type': 'Category'
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}
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self.url = reverse(viewname='auto_labeling_configs', args=[self.project.item.id])
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def test_create_config(self):
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response = self.assert_create(self.project.admin, status.HTTP_201_CREATED)
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self.assertEqual(response.data['model_name'], self.data['model_name'])
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def test_list_config(self):
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mommy.make('AutoLabelingConfig', project=self.project.item)
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response = self.assert_fetch(self.project.admin, status.HTTP_200_OK)
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self.assertEqual(len(response.data), 1)
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class TestAutomatedLabeling(CRUDMixin):
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def setUp(self):
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self.project = prepare_project(task=DOCUMENT_CLASSIFICATION, single_class_classification=False)
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self.example = make_doc(self.project.item)
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self.category_pos = mommy.make(
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'CategoryType', project=self.project.item, text='POS'
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)
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self.category_neg = mommy.make(
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'CategoryType', project=self.project.item, text='NEG'
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)
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self.loc = mommy.make('SpanType', project=self.project.item, text='LOC')
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self.url = reverse(viewname='auto_labeling', args=[self.project.item.id])
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self.url += f'?example={self.example.id}'
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@patch('auto_labeling.views.execute_pipeline', return_value=Categories([{'label': 'POS'}]))
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def test_category_labeling(self, mock):
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mommy.make('AutoLabelingConfig', task_type='Category', project=self.project.item)
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self.assert_create(self.project.admin, status.HTTP_201_CREATED)
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self.assertEqual(Category.objects.count(), 1)
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self.assertEqual(Category.objects.first().label, self.category_pos)
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@patch(
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'auto_labeling.views.execute_pipeline',
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side_effect=[
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Categories([{'label': 'POS'}]),
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Categories([{'label': 'NEG'}])
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]
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)
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def test_multiple_configs(self, mock):
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mommy.make('AutoLabelingConfig', task_type='Category', project=self.project.item)
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mommy.make('AutoLabelingConfig', task_type='Category', project=self.project.item)
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self.assert_create(self.project.admin, status.HTTP_201_CREATED)
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self.assertEqual(Category.objects.count(), 2)
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self.assertEqual(Category.objects.first().label, self.category_pos)
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self.assertEqual(Category.objects.last().label, self.category_neg)
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@patch(
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'auto_labeling.views.execute_pipeline',
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side_effect=[
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Categories([{'label': 'POS'}]),
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Categories([{'label': 'POS'}])
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]
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)
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def test_cannot_label_same_category_type(self, mock):
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mommy.make('AutoLabelingConfig', task_type='Category', project=self.project.item)
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mommy.make('AutoLabelingConfig', task_type='Category', project=self.project.item)
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self.assert_create(self.project.admin, status.HTTP_201_CREATED)
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self.assertEqual(Category.objects.count(), 1)
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@patch(
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'auto_labeling.views.execute_pipeline',
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side_effect=[
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Categories([{'label': 'POS'}]),
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Spans([{'label': 'LOC', 'start_offset': 0, 'end_offset': 5}]),
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]
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)
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def test_allow_multi_type_configs(self, mock):
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mommy.make('AutoLabelingConfig', task_type='Category', project=self.project.item)
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mommy.make('AutoLabelingConfig', task_type='Span', project=self.project.item)
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self.assert_create(self.project.admin, status.HTTP_201_CREATED)
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self.assertEqual(Category.objects.count(), 1)
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self.assertEqual(Span.objects.count(), 1)
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@patch('auto_labeling.views.execute_pipeline', return_value=Categories([{'label': 'POS'}]))
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def test_cannot_use_other_project_config(self, mock):
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mommy.make('AutoLabelingConfig', task_type='Category')
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self.assert_create(self.project.admin, status.HTTP_201_CREATED)
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self.assertEqual(Category.objects.count(), 0)
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class TestAutomatedSpanLabeling(CRUDMixin):
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def setUp(self):
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self.project = prepare_project(task=SEQUENCE_LABELING)
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self.example = make_doc(self.project.item)
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self.loc = mommy.make('SpanType', project=self.project.item, text='LOC')
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self.url = reverse(viewname='auto_labeling', args=[self.project.item.id])
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self.url += f'?example={self.example.id}'
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@patch(
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'auto_labeling.views.execute_pipeline',
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side_effect=[
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Spans([{'label': 'LOC', 'start_offset': 0, 'end_offset': 5}]),
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Spans([{'label': 'LOC', 'start_offset': 4, 'end_offset': 10}])
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]
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)
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def test_cannot_label_overlapping_span(self, mock):
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mommy.make('AutoLabelingConfig', task_type='Span', project=self.project.item)
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mommy.make('AutoLabelingConfig', task_type='Span', project=self.project.item)
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self.assert_create(self.project.admin, status.HTTP_201_CREATED)
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self.assertEqual(Span.objects.count(), 1)
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class TestAutomatedTextLabeling(CRUDMixin):
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def setUp(self):
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self.project = prepare_project(task=SEQ2SEQ)
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self.example = make_doc(self.project.item)
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self.url = reverse(viewname='auto_labeling', args=[self.project.item.id])
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self.url += f'?example={self.example.id}'
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@patch(
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'auto_labeling.views.execute_pipeline',
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side_effect=[
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Texts([{'text': 'foo'}]),
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Texts([{'text': 'foo'}])
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]
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)
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def test_cannot_label_same_text(self, mock):
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mommy.make('AutoLabelingConfig', task_type='Text', project=self.project.item)
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mommy.make('AutoLabelingConfig', task_type='Text', project=self.project.item)
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self.assert_create(self.project.admin, status.HTTP_201_CREATED)
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self.assertEqual(TextLabel.objects.count(), 1)
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