Delete tests/test_ocr_functionality.py

tests/test_ocr_functionality.py

@@ -1,84 +0,0 @@
-import pytest
-from PIL import Image, ImageDraw, ImageFont
-import numpy as np
-
-class TestOCRFunctionality:
-    """Test OCR text extraction functionality"""
-    
-    def test_preprocess_image_for_ocr(self, sample_image):
-        """Test image preprocessing for OCR"""
-        # Mock the preprocessing function
-        def mock_preprocess_image_for_ocr(image):
-            img_array = np.array(image)
-            if len(img_array.shape) == 3:
-                gray = np.mean(img_array, axis=2).astype(np.uint8)
-            else:
-                gray = img_array
-            return gray
-        
-        result = mock_preprocess_image_for_ocr(sample_image)
-        assert isinstance(result, np.ndarray)
-        assert len(result.shape) == 2  # Should be grayscale
-
-    def test_extract_text_from_image_none_input(self):
-        """Test OCR with None input"""
-        def mock_extract_text_from_image(image):
-            if image is None:
-                return "❌ No image provided"
-            return "Sample extracted text"
-        
-        result = mock_extract_text_from_image(None)
-        assert result == "❌ No image provided"
-
-    def test_extract_text_from_valid_image(self, sample_image):
-        """Test OCR with valid image"""
-        def mock_extract_text_from_image(image):
-            if image is None:
-                return "❌ No image provided"
-            # Simulate successful OCR
-            return "Patient: John Doe, 35-year-old male with chest pain"
-        
-        result = mock_extract_text_from_image(sample_image)
-        assert "Patient:" in result
-        assert "chest pain" in result
-
-    def test_clean_extracted_text(self):
-        """Test text cleaning functionality"""
-        def mock_clean_extracted_text(text):
-            lines = [line.strip() for line in text.split('\n') if line.strip()]
-            cleaned_text = '\n'.join(lines)
-            cleaned_text = cleaned_text.replace('|', '').replace('_', ' ')
-            return cleaned_text.strip()
-        
-        dirty_text = "  Line 1  \n\n  Line 2 with | pipes  \n   \n  Line_3  "
-        clean_text = mock_clean_extracted_text(dirty_text)
-        
-        assert "Line 1" in clean_text
-        assert "Line 2 with  pipes" in clean_text
-        assert "Line 3" in clean_text
-        assert "|" not in clean_text
-
-    def test_image_preprocessing_edge_cases(self):
-        """Test image preprocessing with edge cases"""
-        def mock_preprocess_image_for_ocr(image):
-            if image is None:
-                return None
-            
-            img_array = np.array(image)
-            # Handle grayscale images
-            if len(img_array.shape) == 2:
-                return img_array
-            # Handle RGB images
-            elif len(img_array.shape) == 3:
-                return np.mean(img_array, axis=2).astype(np.uint8)
-            else:
-                raise ValueError("Unsupported image format")
-        
-        # Test with None
-        assert mock_preprocess_image_for_ocr(None) is None
-        
-        # Test with small grayscale image
-        small_gray = Image.new('L', (50, 50), color=128)
-        result = mock_preprocess_image_for_ocr(small_gray)
-        assert isinstance(result, np.ndarray)
-        assert len(result.shape) == 2