import os from datetime import datetime #from debug import my_debugging_tools # Removed for main push from utility import Utilities from image_handler import ImageProcessor, ExifHandler from tui import SimpleTUI class Optima35: # The layout of class Optima35 was originally made by ChatGPT, but major adjustments have been made. To remain transparent, I disclose this. def __init__(self, settings_file, exif_options_file): self.version = "0.1.0" #self.debugger = my_debugging_tools() # Removed for main push self.utilities = Utilities() self.image_processor = ImageProcessor() self.exif_handler = ExifHandler() self.tui = SimpleTUI() self.settings = { "input_folder": None, "output_folder": None, "file_format": None, "resize_percentage": None, "copy_exif": None, "contrast_percentage": None, "brightness_percentage": None, "new_file_names": None, "invert_image_order": False, "watermark_text": None, "modifications": [], } self.settings_to_save = ["resize_percentage", "jpg_quality", "png_compression", "web_optimize", "contrast_percentage", "brightness_percentage"] self.exif_choices = self.utilities.read_yaml(exif_options_file) self.setting_file = settings_file def load_or_ask_settings(self): """Load settings from a YAML file or ask the user if not present or incomplete.""" # Partly ChatGPT if self.read_settings(self.settings_to_save): for item in self.settings_to_save: print(f"{item}: {self.settings[item]}") use_saved = self.tui.yes_no_menu("Use these settings?") if use_saved: return else: print("No settings found...") print("Asking for new settings...\n") self.settings["resize_percentage"] = int(input("Default resize percentage: ").strip()) self.settings["contrast_percentage"] = int(input("Default contrast percentage: ").strip()) self.settings["brightness_percentage"] = int(input("Default brightness percentage: ").strip()) self.settings["jpg_quality"] = int(input("JPEG quality (1-100): ").strip()) self.settings["png_compression"] = int(input("PNG compression level (0-9): ").strip()) self.settings["web_optimize"] = self.tui.yes_no_menu("Optimize images for web?") self.write_settings(self.settings_to_save) def write_settings(self, keys_to_save): """"Write self.setting, but only specific values""" keys = keys_to_save filtered_settings = {key: self.settings[key] for key in keys if key in self.settings} self.utilities.write_yaml(self.setting_file, filtered_settings) print("New settings saved successfully.") def read_settings(self, keys_to_load): """ Read settings from the settings file and update self.settings with the values for specific keys without overwriting existing values. """ # First draft by ChatGPT, adjusted to fit my needs. keys = keys_to_load if os.path.exists(self.setting_file): loaded_settings = self.utilities.read_yaml(self.setting_file) for key in keys: if key in loaded_settings: self.settings[key] = loaded_settings[key] print("Settings loaded successfully.") return True else: print("Settings file empty.") return False def collect_exif_data(self): """Collect EXIF data based on user input.""" user_data = {} fields = [ "make", "model", "lens", "iso", "image_description", "user_comment", "artist", "copyright_info" ] for field in fields: choise = self.tui.choose_menu(f"Enter {field.replace('_', ' ').title()}", self.exif_choices[field]) user_data[field] = choise.encode("utf-8") user_data["software"] = f"OPTIMA-35 {self.version}".encode("utf-8") user_data["date_time_original"] = datetime.now().strftime("%Y:%m:%d %H:%M:%S").encode("utf-8") return user_data def get_user_settings(self): """Get initial settings from the user.""" menu_options = ["Resize image", "Change EXIF", "Convert to grayscale", "Change contrast", "Change brightness", "Rename images", "Invert image order", "Add Watermark"] # new option can be added here. self.settings["input_folder"] = input("Enter path of input folder: ").strip() # Add: check if folder exists self.settings["output_folder"] = input("Enter path of output folder: ").strip() self.settings["file_format"] = input("Enter export file format (e.g., jpg, png): ").strip() # Add: specific question depending on export file type, like jpg quality and png compression self.settings["modifications"] = self.tui.multi_select_menu( "Select what you want to do", menu_options ) if "Change EXIF" not in self.settings["modifications"]: self.settings["copy_exif"] = self.tui.yes_no_menu("Do you want to copy exif info from original file?") if "Rename images" in self.settings["modifications"]: self.settings["new_file_names"] = input("What should be the name for the new images? ") if "Invert image order" in self.settings["modifications"]: self.settings["invert_image_order"] = True if "Add Watermark" in self.settings["modifications"]: self.settings["watermark_text"] = input("Enter text for watermark. ") os.makedirs(self.settings["output_folder"], exist_ok = True) def process_images(self): """Process images based on user settings.""" input_folder = self.settings["input_folder"] output_folder = self.settings["output_folder"] image_files = [ f for f in os.listdir(input_folder) if f.lower().endswith(('.png', '.jpg', '.jpeg')) ] if "Change EXIF" in self.settings["modifications"]: selected_exif = self.collect_exif_data() i = 1 for image_file in image_files: input_path = os.path.join(input_folder, image_file) if "Rename images" in self.settings["modifications"]: image_name = self.name_images(self.settings["new_file_names"], i, len(image_files), self.settings["invert_image_order"]) else: image_name = os.path.splitext(image_file)[0] output_path = os.path.join(output_folder, image_name) with self.image_processor.open_image(input_path) as img: processed_img = img for mod in self.settings["modifications"]: if mod == "Resize image": processed_img = self.image_processor.resize_image( image = processed_img, percent = self.settings["resize_percentage"], resample = True ) elif mod == "Change EXIF" and selected_exif: exif_data = self.exif_handler.build_exif_dict(selected_exif, self.image_processor.get_image_size(processed_img)) elif mod == "Convert to grayscale": processed_img = self.image_processor.grayscale(processed_img) elif mod == "Change contrast": processed_img = self.image_processor.change_contrast(processed_img, self.settings["contrast_percentage"]) elif mod == "Change brightness": processed_img = self.image_processor.change_brightness(processed_img, self.settings["brightness_percentage"]) elif mod == "Add Watermark": processed_img = self.image_processor.add_watermark(processed_img, self.settings["watermark_text"]) if self.settings["copy_exif"]: # When copying exif from original, make sure to change Piexel X & Y Dimension to fit new size try: og_exif = self.exif_handler.get_exif_info(img) og_exif["Exif"][40962], og_exif["Exif"][40963] = self.image_processor.get_image_size(processed_img) exif_data = og_exif except Exception: # If an error happends it is because the picture does not have exif data print("Copying EXIF data selected, but no EXIF data is available in the original image file.") exif_data = None else: exif_data = None self.image_processor.save_image( image = processed_img, path = output_path, exif_data = exif_data, file_type = self.settings["file_format"], jpg_quality = self.settings["jpg_quality"], png_compressing = self.settings["png_compression"], _optimize = self.settings["web_optimize"] ) self.utilities.progress_bar(i, len(image_files)) i += 1 def name_images(self, base_name, current_image, total_images, invert): """"Returns name, combination of base_name and ending number.""" total_digits = len(str(total_images)) if invert: ending_number = total_images - (current_image - 1) else: ending_number = current_image ending = f"{ending_number:0{total_digits}}" return f"{base_name}_{ending}" def run(self): """Run the main program.""" self.load_or_ask_settings() self.get_user_settings() self.process_images() print("Done") if __name__ == "__main__": app = Optima35("local_files/settings.yaml", "exif_options.yaml") app.run()