Cleaner structure

utils/image_handler.py

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+from PIL import Image, ImageDraw, ImageFont, ImageEnhance
+import piexif
+import time
+
+class ImageProcessor:
+    """Functions using pillow are in here."""
+    def __init__(self):
+        pass
+
+    def open_image(self, path):
+        """Open an image from path, returns image object."""
+        return Image.open(path)
+
+    def get_image_size(self, image):
+        """Simply get image size."""
+        return image.size
+
+    def grayscale(self, image):
+        """Change to grayscale"""
+        return image.convert("L")
+
+    def change_contrast(self, image, change):
+        enhancer = ImageEnhance.Contrast(image)
+        new_img = enhancer.enhance(1 + (change/100))
+        return new_img
+
+    def change_brightness(self, image, change):
+        enhancer = ImageEnhance.Brightness(image)
+        new_img = enhancer.enhance(1 + (change/100))
+        return new_img
+
+    def resize_image(self, image, percent, resample = True):
+        """Resize an image by giving a percent."""
+        new_size = tuple(int(x * (percent / 100)) for x in image.size)
+        if resample:
+            resized_image = image.resize(new_size)
+        else:
+            resized_image = image.resize((new_size),resample=Image.Resampling.NEAREST)
+        return resized_image
+
+    def add_watermark(self, image, text, font_size_scale = 70):
+        drawer = ImageDraw.Draw(image)
+        imagewidth, imageheight = image.size
+        margin = (imageheight / 100 ) * 2 # margin dynamic, 2% of image size
+        font_size = imagewidth / font_size_scale # Scaling the font size
+        try: # Try loading front, if notaviable return unmodified image
+            font = ImageFont.truetype("OpenDyslexic3-Regular.ttf", font_size)
+        except:
+            print("Error loading font for watermark, please ensure font is installed...\n")
+            time.sleep(0.3)
+            return image
+
+        c, w, textwidth, textheight, = drawer.textbbox(xy = (0, 0), text = text, font = font) # Getting text size, only need the last two values
+        x = imagewidth - textwidth - margin
+        y = imageheight - textheight - margin
+        drawer.text((x, y), text, font = font)
+
+        return image
+
+    def save_image(self, image, path, file_type, jpg_quality, png_compressing, optimize, exif_data = None):
+        # partly optimized by chatGPT
+        """
+        Save an image to the specified path with optional EXIF data and optimization.
+        """
+        file_type = file_type.lower()
+        save_params = {"optimize": optimize}
+        # Add file-specific parameters
+        if file_type == "jpg":
+            save_params["quality"] = jpg_quality
+        elif file_type == "png":
+            save_params["compress_level"] = png_compressing
+        elif file_type not in  ["webp", "jpg", "png"]:
+            input(f"Type: {file_type} is not supported. Press Enter to continue...")
+            return
+        # Add EXIF data if available
+        if exif_data is not None:
+            save_params["exif"] = piexif.dump(exif_data)
+            if file_type == "webp":
+                print("File format webp does not support all exif features, some information might get lost...\n")
+                time.sleep(0.1)
+        try:
+            image.save(f"{path}.{file_type}", **save_params)
+        except Exception as e:
+            print(f"Failed to save image: {e}")
+
+class ExifHandler:
+    """Function using piexif are here."""
+    def __init__(self):
+        pass
+
+    def get_exif_info(self, image):
+        return(piexif.load(image.info['exif']))
+
+    def build_exif_dict(self, user_data, imagesize):
+        """Build a piexif-compatible EXIF dictionary from user data."""
+        # Mostly made by ChatGPT, some adjustment
+        zeroth_ifd = {
+            piexif.ImageIFD.Make: user_data["make"],
+            piexif.ImageIFD.Model: user_data["model"],
+            piexif.ImageIFD.Software: user_data["software"],
+            piexif.ImageIFD.Copyright: user_data["copyright_info"],
+            piexif.ImageIFD.Artist: user_data["artist"],
+            piexif.ImageIFD.ImageDescription: user_data["image_description"],
+            piexif.ImageIFD.XResolution: (72, 1),
+            piexif.ImageIFD.YResolution: (72, 1),
+        }
+        exif_ifd = {
+            piexif.ExifIFD.UserComment: user_data["user_comment"],
+            piexif.ExifIFD.ISOSpeedRatings: int(user_data["iso"]),
+            piexif.ExifIFD.PixelXDimension: imagesize[0],
+            piexif.ExifIFD.PixelYDimension: imagesize[1],
+        }
+        if "date_time_original" in user_data:
+            exif_ifd[piexif.ExifIFD.DateTimeOriginal] = user_data["date_time_original"].encode("utf-8")
+        return {"0th": zeroth_ifd, "Exif": exif_ifd}