59 lines
2.6 KiB
Python
59 lines
2.6 KiB
Python
import unittest
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from unittest.mock import Mock, patch
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from element_detection import detect, BoundBox
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from BlurMe.graphics.image_modification import show_image_with_boxes
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class TestYourModule(unittest.TestCase):
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@patch('element_detection.FACES_MODEL.predict')
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@patch('element_detection.PLATES_MODEL.predict')
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def test_detect(self, mock_plates_predict, mock_faces_predict):
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# Przygotuj dane testowe
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image_path = 'blurme/ml/MicrosoftTeams-image.png'
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mock_faces_predict.__iter__.return_value = [Mock(cpu=Mock(return_value=Mock(numpy=Mock(boxes=[Mock(xyxy=[1, 2, 3, 4])]))))]
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mock_plates_predict.__iter__.return_value = [Mock(cpu=Mock(return_value=Mock(numpy=Mock(boxes=[Mock(xyxy=[5, 6, 7, 8])]))))]
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# Wywołaj funkcję
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result = detect(image_path)
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# Sprawdź, czy otrzymałeś oczekiwany wynik
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expected_result = [BoundBox(1, 2, 3, 4), BoundBox(5, 6, 7, 8)]
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self.assertEqual(result, expected_result)
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@patch('element_detection.ImageDraw.Draw')
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@patch('element_detection.ImageFont.truetype')
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#@patch('element_detection.Image.save')
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@patch('element_detection.Image.open')
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def test_show_image_with_boxes(self, mock_image_open,
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#mock_image_save,
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mock_truetype, mock_draw):
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# Przygotuj dane testowe
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in_image_path = 'blurme/ml/MicrosoftTeams-image.png'
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bounding_boxes = [BoundBox(1, 2, 3, 4), BoundBox(5, 6, 7, 8)]
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# Wywołaj funkcję
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show_image_with_boxes(in_image_path, bounding_boxes)
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# Sprawdź, czy odpowiednie metody zostały wywołane z oczekiwanymi argumentami
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mock_image_open.assert_called_once_with(in_image_path)
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mock_draw.assert_called_once()
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# mock_image_save.assert_called_once()
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if __name__ == '__main__':
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unittest.main()
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def test_detect_with_stub(self, mock_plates_predict, mock_faces_predict):
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# Przygotuj dane testowe
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image_path = 'blurme/ml/MicrosoftTeams-image.png'
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mock_faces_predict.__iter__.return_value = [Mock(cpu=Mock(return_value=Mock(numpy=Mock(boxes=[Mock(xyxy=[1, 2, 3, 4])]))))]
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mock_plates_predict.__iter__.return_value = [Mock(cpu=Mock(return_value=Mock(numpy=Mock(boxes=[Mock(xyxy=[5, 6, 7, 8])]))))]
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# Użyj stuba zamiast rzeczywistego BoundBox
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with patch('element_detection.BoundBox', StubBoundBox):
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# Wywołaj funkcję
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result = detect(image_path)
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# Sprawdź, czy otrzymałeś oczekiwany wynik
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expected_result = [StubBoundBox(1, 2, 3, 4), StubBoundBox(5, 6, 7, 8)]
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self.assertEqual(result, expected_result) |