BLUR-32 sidebar modification

blurme/components/sidebar.py

@@ -22,6 +22,7 @@ def sidebar_header() -> rx.Component:
         width="100%",
         border_bottom=styles.border,
         padding="1em",
+        align = 'center',
     )
 
 def sidebar_item(text: str, icon: str, url: str, ) -> rx.Component:
@@ -58,11 +59,11 @@ def sidebar_item(text: str, icon: str, url: str, ) -> rx.Component:
                 styles.accent_color,
                 "transparent",
             ),
-            color=rx.cond(
-                active,
-                styles.accent_text_color,
-                styles.text_color,
-            ),
+            #color=rx.cond(
+            #    active,
+            #    styles.accent_text_color,
+            #    styles.text_color,
+            #),
             border_radius=styles.border_radius,
             box_shadow=styles.box_shadow,
             width="100%",
@@ -103,8 +104,8 @@ def sidebar() -> rx.Component:
                 padding="1em",
             ),
             rx.spacer(),
-            #sidebar_footer(),
             height="100em",
+            
         ),
         display=["none", "none", "block"],
         min_width=styles.sidebar_width,

blurme/styles.py

@@ -6,6 +6,7 @@ border_radius = "0.375rem"
 box_shadow = "0px 0px 0px 1px rgba(84, 82, 95, 0.14)"
 border = "1px solid #F4F3F6"
 text_color = "black"
+text_color_dark = "white"
 accent_text_color = "black"
 accent_color = "linear-gradient(linear-gradient(43deg, rgba(201,238,248,1) 18%, rgba(253,210,227,0.7792366946778712) 86%)"
 #linear-gradient(120deg, #d299c2 0%, #fef9d7 100%);"

ml/test.py

@@ -0,0 +1,57 @@
+import unittest
+from unittest.mock import Mock, patch
+from element_detection import detect, show_image_with_boxes, BoundBox
+
+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)