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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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72 lines
3.4 KiB
72 lines
3.4 KiB
from django.test import TestCase
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from model_mommy import mommy
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from api.models import IMAGE_CLASSIFICATION, SEQUENCE_LABELING, ExampleState
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from .api.utils import prepare_project
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class TestExampleState(TestCase):
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def setUp(self):
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self.project = prepare_project(SEQUENCE_LABELING)
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self.example = mommy.make('Example', project=self.project.item)
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self.other = mommy.make('Example', project=self.project.item)
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self.examples = self.project.item.examples.all()
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def test_initial_done(self):
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done = ExampleState.objects.count_done(self.examples)
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self.assertEqual(done, 0)
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def test_done_confirmed_by_user(self):
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mommy.make('ExampleState', example=self.example, confirmed_by=self.project.users[0])
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done = ExampleState.objects.count_done(self.examples)
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self.assertEqual(done, 1)
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def test_done_confirmed_by_multiple_user(self):
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mommy.make('ExampleState', example=self.example, confirmed_by=self.project.users[0])
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mommy.make('ExampleState', example=self.example, confirmed_by=self.project.users[1])
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done = ExampleState.objects.count_done(self.examples)
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self.assertEqual(done, 1)
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def test_done_confirmed_by_different_example(self):
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mommy.make('ExampleState', example=self.example, confirmed_by=self.project.users[0])
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mommy.make('ExampleState', example=self.other, confirmed_by=self.project.users[1])
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done = ExampleState.objects.count_done(self.examples, self.project.users[0])
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self.assertEqual(done, 1)
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def test_initial_user(self):
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progress = ExampleState.objects.measure_member_progress(self.examples, self.project.users)
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expected_progress = [{'user': user.username, 'done': 0} for user in self.project.users]
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self.assertEqual(progress, {'total': 2, 'progress': expected_progress})
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def test_user_count_after_confirmation(self):
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mommy.make('ExampleState', example=self.example, confirmed_by=self.project.users[0])
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progress = ExampleState.objects.measure_member_progress(self.examples, self.project.users)
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expected_progress = [{'user': user.username, 'done': 0} for user in self.project.users]
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expected_progress[0]['done'] = 1
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self.assertEqual(progress, {'total': 2, 'progress': expected_progress})
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def test_user_count_after_multiple_user_confirmation(self):
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user1 = self.project.users[0]
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user2 = self.project.users[1]
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mommy.make('ExampleState', example=self.example, confirmed_by=user1)
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mommy.make('ExampleState', example=self.example, confirmed_by=user2)
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progress = ExampleState.objects.measure_member_progress(self.examples, self.project.users)
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expected_progress = [{'user': user.username, 'done': 0} for user in self.project.users]
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expected_progress[0]['done'] = 1
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expected_progress[1]['done'] = 1
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self.assertEqual(progress, {'total': 2, 'progress': expected_progress})
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class TestExample(TestCase):
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def test_text_project_returns_text_as_data_property(self):
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project = prepare_project(SEQUENCE_LABELING)
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example = mommy.make('Example', project=project.item)
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self.assertEqual(example.text, example.data)
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def test_image_project_returns_filename_as_data_property(self):
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project = prepare_project(IMAGE_CLASSIFICATION)
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example = mommy.make('Example', project=project.item)
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self.assertEqual(str(example.filename), example.data)
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