diff --git a/main_tui.py b/main_tui.py deleted file mode 100644 index 07c7537..0000000 --- a/main_tui.py +++ /dev/null @@ -1,292 +0,0 @@ -import os -import re -from datetime import datetime -from utils.utility import Utilities -from utils.image_handler import ImageProcessor, ExifHandler -from ui.tui import SimpleTUI -# legacy code, will be removed with then next minor version -class Optima35: - # The layout of class Optima35 was originally made by ChatGPT, but major adjustments have been made.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.name = "OPTIMA-35" - self.version = "0.2.1" - 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.""" - # Partially 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"] = self.take_input_and_validate(question = "Default resize percentage (below 100 downscale, above upscale): ", accepted_type = int, min_value = 1, max_value = 200) - self.settings["contrast_percentage"] = self.take_input_and_validate(question = "Default contrast percentage (negative = decrease, positive = increase): ", accepted_type = int, min_value = -100, max_value = 100) - self.settings["brightness_percentage"] = self.take_input_and_validate(question = "Default brighness percentage (negative = decrease, positive = increase): ", accepted_type = int, min_value = -100, max_value = 100) - self.settings["jpg_quality"] = self.take_input_and_validate(question = "JPEG quality (1-100, 80 default): ", accepted_type = int, min_value = 1, max_value = 100) - self.settings["png_compression"] = self.take_input_and_validate(question = "PNG compression level (0-9, 6 default): ", accepted_type = int, min_value = 0, max_value = 9) - self.settings["web_optimize"] = self.tui.yes_no_menu("Optimize images i.e. compressing?") - - 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") - new_date = self.get_date_input() - - if new_date: - user_data["date_time_original"] = new_date - - return user_data - - def get_date_input(self): - # Partially chatGPT - while True: - date_input = input("Enter a date (yyyy-mm-dd): ") - if date_input == "": - return None # Skip if input is empty - try: - new_date = datetime.strptime(date_input, "%Y-%m-%d") - return new_date.strftime("%Y:%m:%d 00:00:00") - except ValueError: - print("Invalid date format. Please enter the date in yyyy-mm-dd format.") - - 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"] = self.take_input_and_validate(question = "Enter export file format (jpg, png, webp): ", accepted_input = ["jpg", "png", "webp"], accepted_type = str) - self.settings["modifications"] = self.tui.multi_select_menu( - f"\n{self.name} v.{self.version} \nSelect what you want to do (esc or q to exit)", - 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? ") # Need - 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 take_input_and_validate(self, question, accepted_input = None, accepted_type = str, min_value = None, max_value = None): - """ - Asks the user a question, validates the input, and ensures it matches the specified criteria. - Args: - question (str): The question to ask the user. - accepted_input (list): A list of acceptable inputs (optional for non-numeric types). - accepted_type (type): The expected type of input (e.g., str, int, float). - min_value (int/float): Minimum value for numeric inputs (optional). - max_value (int/float): Maximum value for numeric inputs (optional). - - Returns: - The validated user input. - """ - # Main layout by chatGPT, but modified. - while True: - user_input = input(question).strip() - - try: - # Convert input to the desired type - if accepted_type in [int, float]: - user_input = accepted_type(user_input) - # Validate range for numeric types - if (min_value is not None and user_input < min_value) or (max_value is not None and user_input > max_value): - print(f"Input must be between {min_value} and {max_value}.") - continue - elif accepted_type == str: - # No conversion needed for strings - user_input = str(user_input) - else: - raise ValueError(f"Unsupported type: {accepted_type}") - - # Validate against accepted inputs if provided - if accepted_input is not None and user_input not in accepted_input: - print(f"Invalid input. Must be one of: {', '.join(map(str, accepted_input))}.") - continue - - return user_input # Input is valid - - except ValueError: - print(f"Invalid input. Must be of type {accepted_type.__name__}.") - - 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", ".webp")) - ] - 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: - if "date_time_original" in selected_exif: - selected_exif = self.modify_timestamp_in_exif(selected_exif, image_name) - 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 - elif "Change EXIF" not in self.settings["modifications"]: - 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 modify_timestamp_in_exif(self, exif_data, filename): - """"Takes exif data and adjust time to fit ending of filename.""" - try: - last_tree = filename[-3:len(filename)] - total_seconds = int(re.sub(r'\D+', '', last_tree)) - - minutes = total_seconds // 60 - seconds = total_seconds % 60 - time = datetime.strptime(exif_data["date_time_original"], "%Y:%m:%d %H:%M:%S") # change date time string back to an time object for modification - new_time = time.replace(hour=12, minute=minutes, second=seconds) - exif_data["date_time_original"] = new_time.strftime("%Y:%m:%d %H:%M:%S") - return exif_data - - except ValueError: - print("Modifying date went wrong, exiting...") - exit() - - 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("config/settings.yaml", "config/exif_options.yaml") - app.run()