From a2847092acb18f359771d1231f6aa5c8f746824e Mon Sep 17 00:00:00 2001
From: Daniel Bedeleanu <bede@tfm.ro>
Date: Wed, 22 Apr 2026 09:23:51 +0300
Subject: [PATCH] debug: add detailed logging to image processing pipeline

- Log input image size, crop bounds, and rotation degrees
- Log crop rectangle coordinates and result size
- Log OpenCV smart crop success/failure details
- Track pixel count to detect zero-size crops
---
 backend/services/image_processing.py | 25 ++++++++++++++-----------
 1 file changed, 14 insertions(+), 11 deletions(-)

diff --git a/backend/services/image_processing.py b/backend/services/image_processing.py
index e9282544..c4ffe7f5 100644
--- a/backend/services/image_processing.py
+++ b/backend/services/image_processing.py
@@ -81,6 +81,7 @@ class ImageProcessor:
             # Open image with PIL
             image = Image.open(io.BytesIO(file_bytes))
             original_size = image.size
+            self.logger.info(f"[PROCESS] Input: {len(file_bytes)} bytes, size={original_size}, crop_bounds={crop_bounds}, rotation={rotation_degrees}°")
 
             # Extract and apply EXIF orientation
             exif_orientation = self._extract_exif_orientation(image)
@@ -96,25 +97,26 @@ class ImageProcessor:
 
             if crop_bounds:
                 # Manual crop bounds provided
-                cropped_image = image.crop(
-                    (
-                        crop_bounds['x'],
-                        crop_bounds['y'],
-                        crop_bounds['x'] + crop_bounds['width'],
-                        crop_bounds['y'] + crop_bounds['height'],
-                    )
+                crop_rect = (
+                    crop_bounds['x'],
+                    crop_bounds['y'],
+                    crop_bounds['x'] + crop_bounds['width'],
+                    crop_bounds['y'] + crop_bounds['height'],
                 )
+                self.logger.info(f"[CROP] Manual bounds: {crop_rect}")
+                cropped_image = image.crop(crop_rect)
                 crop_size = cropped_image.size
                 crop_method = 'manual'
-                self.logger.info(f"Applied manual crop: {crop_size}")
+                self.logger.info(f"[CROP] Result size: {crop_size}, pixels={crop_size[0]*crop_size[1]}")
             else:
                 # Try OpenCV smart crop
+                self.logger.info("[CROP] Attempting OpenCV smart crop...")
                 try:
                     crop_result = self._smart_crop_opencv(image)
                     if crop_result is not None:
                         cropped_image, crop_size = crop_result
                         crop_method = 'opencv'
-                        self.logger.info(f"Applied OpenCV crop: {crop_size}")
+                        self.logger.info(f"[CROP] OpenCV success: {crop_size}, pixels={crop_size[0]*crop_size[1]}")
 
                         # Detect text orientation within the cropped region
                         text_angle, angle_status = self._detect_text_orientation(
@@ -122,18 +124,19 @@ class ImageProcessor:
                         )
                         if text_angle is not None:
                             self.logger.info(
-                                f"Detected text angle: {text_angle}° ({angle_status})"
+                                f"[CROP] Text angle: {text_angle}° ({angle_status})"
                             )
                             if angle_status in ['upside_down', 'sideways']:
                                 cropped_image = self._rotate_image(
                                     cropped_image, text_angle
                                 )
                     else:
+                        self.logger.warning("[CROP] OpenCV returned None, using full image")
                         crop_method = 'pillow'
                 except (IOError, ValueError, cv2.error) as e:
                     # Fallback to Pillow if OpenCV fails
                     self.logger.warning(
-                        f"OpenCV crop failed, falling back to Pillow: {e}"
+                        f"[CROP] OpenCV failed: {e}, using full image"
                     )
                     crop_method = 'pillow'