From 78fcdce32751c1554b456e3cd2035eafc5cdbcdb Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Mateusz=20Gruszczy=C5=84ski?=
 <mateusz.gruszczynski@firma.interia.pl>
Date: Tue, 22 Jul 2025 14:19:24 +0200
Subject: [PATCH] =?UTF-8?q?obracanie=20zdj=C4=99cia=20fix?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 app.py | 55 ++++++++++++++++++++++++++-----------------------------
 1 file changed, 26 insertions(+), 29 deletions(-)

diff --git a/app.py b/app.py
index 46b4e65..0e878ae 100644
--- a/app.py
+++ b/app.py
@@ -267,37 +267,30 @@ def enrich_list_data(l):
 
 def save_resized_image(file, path):
     try:
+        # Otwórz i sprawdź poprawność pliku
+        image = Image.open(file)
+        image.verify()
+        file.seek(0)
         image = Image.open(file)
-        image.verify()  # sprawdzenie poprawności pliku
-        file.seek(0)  # reset do początku
-        image = Image.open(file)  # ponowne otwarcie po verify()
     except Exception:
         raise ValueError("Nieprawidłowy plik graficzny")
 
-    # Obrót na podstawie EXIF
     try:
-        exif = image._getexif()
-        if exif:
-            orientation_key = next(
-                k for k, v in ExifTags.TAGS.items() if v == "Orientation"
-            )
-            orientation = exif.get(orientation_key)
-            if orientation == 3:
-                image = image.rotate(180, expand=True)
-            elif orientation == 6:
-                image = image.rotate(270, expand=True)
-            elif orientation == 8:
-                image = image.rotate(90, expand=True)
+        # Automatyczna rotacja według EXIF (np. zdjęcia z telefonu)
+        image = ImageOps.exif_transpose(image)
     except Exception:
-        pass  # brak lub błędny EXIF
+        pass  # ignorujemy, jeśli EXIF jest uszkodzony lub brak
 
-    image.thumbnail((2000, 2000))
-    image = image.convert("RGB")
-    image.info.clear()
+    try:
+        image.thumbnail((2000, 2000))
+        image = image.convert("RGB")
+        image.info.clear()
+
+        new_path = path.rsplit(".", 1)[0] + ".webp"
+        image.save(new_path, format="WEBP", quality=100, method=0)
+    except Exception as e:
+        raise ValueError(f"Błąd podczas przetwarzania obrazu: {e}")
 
-    new_path = path.rsplit(".", 1)[0] + ".webp"
-    #image.save(new_path, format="WEBP", quality=85, method=6)
-    image.save(new_path, format="WEBP", quality=100, method=0)
 
 def redirect_with_flash(
     message: str, category: str = "info", endpoint: str = "main_page"
@@ -344,12 +337,16 @@ def _receipt_error(message):
 
 ############# OCR ###########################
 
+
 def preprocess_image_for_tesseract(image):
     image = ImageOps.autocontrast(image)
     image = image.point(lambda x: 0 if x < 150 else 255)  # mocniejsza binarizacja
-    image = image.resize((image.width * 2, image.height * 2), Image.BICUBIC)  # większe powiększenie
+    image = image.resize(
+        (image.width * 2, image.height * 2), Image.BICUBIC
+    )  # większe powiększenie
     return image
 
+
 def extract_total_tesseract(image):
     text = pytesseract.image_to_string(image, lang="pol", config="--psm 4")
     lines = text.splitlines()
@@ -371,7 +368,7 @@ def extract_total_tesseract(image):
             amount
         )\b
         """,
-        re.IGNORECASE | re.VERBOSE
+        re.IGNORECASE | re.VERBOSE,
     )
 
     for idx, line in enumerate(lines):
@@ -420,9 +417,7 @@ def extract_total_tesseract(image):
                 continue
 
     preferred = [
-        (val, line)
-        for val, line in candidates
-        if keyword_pattern.search(line.lower())
+        (val, line) for val, line in candidates if keyword_pattern.search(line.lower())
     ]
 
     if preferred:
@@ -433,7 +428,9 @@ def extract_total_tesseract(image):
         max_val = max([val for val, _ in candidates])
         return round(max_val, 2), lines
 
-    data = pytesseract.image_to_data(image, lang="pol", config="--psm 4", output_type=Output.DICT)
+    data = pytesseract.image_to_data(
+        image, lang="pol", config="--psm 4", output_type=Output.DICT
+    )
     font_candidates = []
 
     for i in range(len(data["text"])):