clean up code

app/parsers/image_parser.py

@@ -0,0 +1,63 @@
+from pathlib import Path
+from typing import Dict
+import logging
+
+logger = logging.getLogger(__name__)
+
+class ImageParser:
+    def __init__(self):
+        self.supported_formats = {'.jpg', '.jpeg', '.png', '.gif', '.bmp', '.tiff', '.webp'}
+
+    def parse(self, file_path: Path) -> Dict:
+        if file_path.suffix.lower() not in self.supported_formats:
+            return {'error': f'Unsupported format: {file_path.suffix}'}
+
+        try:
+            return self._parse_with_ocr(file_path)
+        except Exception as e:
+            logger.error(f'Image parse failed for {file_path}: {e}')
+            return {'error': str(e), 'text': ''}
+
+    def _parse_with_ocr(self, file_path: Path) -> Dict:
+        try:
+            from PIL import Image
+            import pytesseract
+
+            img = Image.open(str(file_path))
+            text = pytesseract.image_to_string(img)
+
+            data = pytesseract.image_to_data(img, output_type=pytesseract.Output.DICT)
+            conf_scores = [int(c) for c in data['conf'] if c != '-1']
+            avg_confidence = sum(conf_scores) / len(conf_scores) if conf_scores else 0
+
+            quality = 'good' if avg_confidence > 80 else 'medium' if avg_confidence > 60 else 'low'
+
+            return {
+                'text': text.strip(),
+                'quality': quality,
+                'confidence': avg_confidence,
+                'method': 'tesseract',
+                'metadata': {
+                    'width': img.width,
+                    'height': img.height,
+                    'format': img.format
+                }
+            }
+        except ImportError as ie:
+            logger.warning(f'Missing library for OCR: {ie}')
+            return {'error': f'Missing library: {ie}', 'text': '', 'needs': 'pytesseract and tesseract-ocr'}
+        except Exception as e:
+            return {'error': str(e), 'text': ''}
+
+    def extract_metadata(self, file_path: Path) -> Dict:
+        try:
+            from PIL import Image
+            img = Image.open(str(file_path))
+            return {
+                'width': img.width,
+                'height': img.height,
+                'format': img.format,
+                'mode': img.mode
+            }
+        except Exception as e:
+            return {'error': str(e)}