BlurMe/ml/test.py

import unittest
from unittest.mock import Mock, patch
from element_detection import detect, BoundBox
from BlurMe.graphics.image_modification import show_image_with_boxes


class TestYourModule(unittest.TestCase):

    @patch('element_detection.FACES_MODEL.predict')
    @patch('element_detection.PLATES_MODEL.predict')
    def test_detect(self, mock_plates_predict, mock_faces_predict):
        # Przygotuj dane testowe
        image_path = 'blurme/ml/MicrosoftTeams-image.png'
        mock_faces_predict.__iter__.return_value = [Mock(cpu=Mock(return_value=Mock(numpy=Mock(boxes=[Mock(xyxy=[1, 2, 3, 4])]))))]
        mock_plates_predict.__iter__.return_value = [Mock(cpu=Mock(return_value=Mock(numpy=Mock(boxes=[Mock(xyxy=[5, 6, 7, 8])]))))]

        # Wywołaj funkcję
        result = detect(image_path)

        # Sprawdź, czy otrzymałeś oczekiwany wynik
        expected_result = [BoundBox(1, 2, 3, 4), BoundBox(5, 6, 7, 8)]
        self.assertEqual(result, expected_result)

    @patch('element_detection.ImageDraw.Draw')
    @patch('element_detection.ImageFont.truetype')
    #@patch('element_detection.Image.save')
    @patch('element_detection.Image.open')
    def test_show_image_with_boxes(self, mock_image_open, 
                                   #mock_image_save, 
                                   mock_truetype, mock_draw):
        # Przygotuj dane testowe
        in_image_path = 'blurme/ml/MicrosoftTeams-image.png'
        bounding_boxes = [BoundBox(1, 2, 3, 4), BoundBox(5, 6, 7, 8)]

        # Wywołaj funkcję
        show_image_with_boxes(in_image_path, bounding_boxes)

        # Sprawdź, czy odpowiednie metody zostały wywołane z oczekiwanymi argumentami
        mock_image_open.assert_called_once_with(in_image_path)
        mock_draw.assert_called_once()
       # mock_image_save.assert_called_once()

if __name__ == '__main__':
    unittest.main()

def test_detect_with_stub(self, mock_plates_predict, mock_faces_predict):
    # Przygotuj dane testowe
    image_path = 'blurme/ml/MicrosoftTeams-image.png'
    mock_faces_predict.__iter__.return_value = [Mock(cpu=Mock(return_value=Mock(numpy=Mock(boxes=[Mock(xyxy=[1, 2, 3, 4])]))))]
    mock_plates_predict.__iter__.return_value = [Mock(cpu=Mock(return_value=Mock(numpy=Mock(boxes=[Mock(xyxy=[5, 6, 7, 8])]))))]

    # Użyj stuba zamiast rzeczywistego BoundBox
    with patch('element_detection.BoundBox', StubBoundBox):
        # Wywołaj funkcję
        result = detect(image_path)

    # Sprawdź, czy otrzymałeś oczekiwany wynik
    expected_result = [StubBoundBox(1, 2, 3, 4), StubBoundBox(5, 6, 7, 8)]
    self.assertEqual(result, expected_result)