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292
main_tui.py
292
main_tui.py
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import os
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import re
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from datetime import datetime
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from utils.utility import Utilities
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from utils.image_handler import ImageProcessor, ExifHandler
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from ui.tui import SimpleTUI
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# legacy code, will be removed with then next minor version
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class Optima35:
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# The layout of class Optima35 was originally made by ChatGPT, but major adjustments have been made. To remain transparent, I disclose this.
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def __init__(self, settings_file, exif_options_file):
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self.name = "OPTIMA-35"
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self.version = "0.2.1"
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self.utilities = Utilities()
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self.image_processor = ImageProcessor()
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self.exif_handler = ExifHandler()
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self.tui = SimpleTUI()
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self.settings = {
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"input_folder": None,
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"output_folder": None,
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"file_format": None,
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"resize_percentage": None,
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"copy_exif": None,
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"contrast_percentage": None,
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"brightness_percentage": None,
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"new_file_names": None,
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"invert_image_order": False,
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"watermark_text": None,
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"modifications": [],
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}
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self.settings_to_save = [
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"resize_percentage",
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"jpg_quality",
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"png_compression",
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"web_optimize",
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"contrast_percentage",
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"brightness_percentage"
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]
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self.exif_choices = self.utilities.read_yaml(exif_options_file)
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self.setting_file = settings_file
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def load_or_ask_settings(self):
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"""Load settings from a YAML file or ask the user if not present or incomplete."""
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# Partially ChatGPT
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if self.read_settings(self.settings_to_save):
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for item in self.settings_to_save:
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print(f"{item}: {self.settings[item]}")
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use_saved = self.tui.yes_no_menu("Use these settings?")
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if use_saved:
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return
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else:
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print("No settings found...")
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print("Asking for new settings...\n")
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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)
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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)
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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)
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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)
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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)
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self.settings["web_optimize"] = self.tui.yes_no_menu("Optimize images i.e. compressing?")
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self.write_settings(self.settings_to_save)
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def write_settings(self, keys_to_save):
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""""Write self.setting, but only specific values"""
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keys = keys_to_save
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filtered_settings = {key: self.settings[key] for key in keys if key in self.settings}
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self.utilities.write_yaml(self.setting_file, filtered_settings)
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print("New settings saved successfully.")
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def read_settings(self, keys_to_load):
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"""
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Read settings from the settings file and update self.settings
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with the values for specific keys without overwriting existing values.
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"""
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# First draft by ChatGPT, adjusted to fit my needs.
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keys = keys_to_load
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if os.path.exists(self.setting_file):
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loaded_settings = self.utilities.read_yaml(self.setting_file)
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for key in keys:
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if key in loaded_settings:
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self.settings[key] = loaded_settings[key]
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print("Settings loaded successfully.")
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return True
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else:
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print("Settings file empty.")
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return False
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def collect_exif_data(self):
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"""Collect EXIF data based on user input."""
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user_data = {}
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fields = [
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"make", "model", "lens", "iso", "image_description",
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"user_comment", "artist", "copyright_info"
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]
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for field in fields:
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choise = self.tui.choose_menu(f"Enter {field.replace('_', ' ').title()}", self.exif_choices[field])
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user_data[field] = choise.encode("utf-8")
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user_data["software"] = f"OPTIMA-35 {self.version}".encode("utf-8")
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new_date = self.get_date_input()
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if new_date:
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user_data["date_time_original"] = new_date
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return user_data
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def get_date_input(self):
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# Partially chatGPT
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while True:
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date_input = input("Enter a date (yyyy-mm-dd): ")
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if date_input == "":
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return None # Skip if input is empty
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try:
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new_date = datetime.strptime(date_input, "%Y-%m-%d")
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return new_date.strftime("%Y:%m:%d 00:00:00")
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except ValueError:
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print("Invalid date format. Please enter the date in yyyy-mm-dd format.")
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def get_user_settings(self):
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"""Get initial settings from the user."""
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menu_options = [
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"Resize image",
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"Change EXIF",
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"Convert to grayscale",
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"Change contrast",
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"Change brightness",
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"Rename images",
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"Invert image order",
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"Add Watermark"
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] # new option can be added here.
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self.settings["input_folder"] = input("Enter path of input folder: ").strip() # Add: check if folder exists.
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self.settings["output_folder"] = input("Enter path of output folder: ").strip()
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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)
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self.settings["modifications"] = self.tui.multi_select_menu(
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f"\n{self.name} v.{self.version} \nSelect what you want to do (esc or q to exit)",
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menu_options
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)
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if "Change EXIF" not in self.settings["modifications"]:
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self.settings["copy_exif"] = self.tui.yes_no_menu("Do you want to copy exif info from original file?")
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if "Rename images" in self.settings["modifications"]:
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self.settings["new_file_names"] = input("What should be the name for the new images? ") # Need
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if "Invert image order" in self.settings["modifications"]:
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self.settings["invert_image_order"] = True
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if "Add Watermark" in self.settings["modifications"]:
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self.settings["watermark_text"] = input("Enter text for watermark. ")
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os.makedirs(self.settings["output_folder"], exist_ok = True)
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def take_input_and_validate(self, question, accepted_input = None, accepted_type = str, min_value = None, max_value = None):
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"""
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Asks the user a question, validates the input, and ensures it matches the specified criteria.
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Args:
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question (str): The question to ask the user.
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accepted_input (list): A list of acceptable inputs (optional for non-numeric types).
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accepted_type (type): The expected type of input (e.g., str, int, float).
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min_value (int/float): Minimum value for numeric inputs (optional).
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max_value (int/float): Maximum value for numeric inputs (optional).
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Returns:
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The validated user input.
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"""
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# Main layout by chatGPT, but modified.
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while True:
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user_input = input(question).strip()
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try:
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# Convert input to the desired type
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if accepted_type in [int, float]:
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user_input = accepted_type(user_input)
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# Validate range for numeric types
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if (min_value is not None and user_input < min_value) or (max_value is not None and user_input > max_value):
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print(f"Input must be between {min_value} and {max_value}.")
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continue
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elif accepted_type == str:
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# No conversion needed for strings
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user_input = str(user_input)
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else:
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raise ValueError(f"Unsupported type: {accepted_type}")
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# Validate against accepted inputs if provided
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if accepted_input is not None and user_input not in accepted_input:
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print(f"Invalid input. Must be one of: {', '.join(map(str, accepted_input))}.")
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continue
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return user_input # Input is valid
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except ValueError:
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print(f"Invalid input. Must be of type {accepted_type.__name__}.")
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def process_images(self):
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"""Process images based on user settings."""
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input_folder = self.settings["input_folder"]
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output_folder = self.settings["output_folder"]
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image_files = [
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f for f in os.listdir(input_folder) if f.lower().endswith((".png", ".jpg", ".jpeg", ".webp"))
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]
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if "Change EXIF" in self.settings["modifications"]:
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selected_exif = self.collect_exif_data()
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i = 1
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for image_file in image_files:
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input_path = os.path.join(input_folder, image_file)
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if "Rename images" in self.settings["modifications"]:
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image_name = self.name_images(self.settings["new_file_names"], i, len(image_files), self.settings["invert_image_order"])
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else:
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image_name = os.path.splitext(image_file)[0]
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output_path = os.path.join(output_folder, image_name)
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with self.image_processor.open_image(input_path) as img:
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processed_img = img
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for mod in self.settings["modifications"]:
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if mod == "Resize image":
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processed_img = self.image_processor.resize_image(
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image = processed_img, percent = self.settings["resize_percentage"], resample = True
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)
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elif mod == "Change EXIF" and selected_exif:
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if "date_time_original" in selected_exif:
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selected_exif = self.modify_timestamp_in_exif(selected_exif, image_name)
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exif_data = self.exif_handler.build_exif_dict(selected_exif, self.image_processor.get_image_size(processed_img))
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elif mod == "Convert to grayscale":
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processed_img = self.image_processor.grayscale(processed_img)
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elif mod == "Change contrast":
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processed_img = self.image_processor.change_contrast(processed_img, self.settings["contrast_percentage"])
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elif mod == "Change brightness":
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processed_img = self.image_processor.change_brightness(processed_img, self.settings["brightness_percentage"])
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elif mod == "Add Watermark":
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processed_img = self.image_processor.add_watermark(processed_img, self.settings["watermark_text"])
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if self.settings["copy_exif"]:
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# When copying exif from original, make sure to change Piexel X & Y Dimension to fit new size
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try:
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og_exif = self.exif_handler.get_exif_info(img)
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og_exif["Exif"][40962], og_exif["Exif"][40963] = self.image_processor.get_image_size(processed_img)
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exif_data = og_exif
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except Exception:
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# If an error happends it is because the picture does not have exif data
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print("Copying EXIF data selected, but no EXIF data is available in the original image file.")
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exif_data = None
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elif "Change EXIF" not in self.settings["modifications"]:
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exif_data = None
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self.image_processor.save_image(
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image = processed_img,
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path = output_path,
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exif_data = exif_data,
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file_type = self.settings["file_format"],
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jpg_quality = self.settings["jpg_quality"],
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png_compressing = self.settings["png_compression"],
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optimize = self.settings["web_optimize"]
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)
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self.utilities.progress_bar(i, len(image_files))
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i += 1
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def name_images(self, base_name, current_image, total_images, invert):
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""""Returns name, combination of base_name and ending number."""
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total_digits = len(str(total_images))
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if invert:
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ending_number = total_images - (current_image - 1)
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else:
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ending_number = current_image
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ending = f"{ending_number:0{total_digits}}"
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return f"{base_name}_{ending}"
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def modify_timestamp_in_exif(self, exif_data, filename):
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""""Takes exif data and adjust time to fit ending of filename."""
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try:
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last_tree = filename[-3:len(filename)]
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total_seconds = int(re.sub(r'\D+', '', last_tree))
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minutes = total_seconds // 60
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seconds = total_seconds % 60
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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
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new_time = time.replace(hour=12, minute=minutes, second=seconds)
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exif_data["date_time_original"] = new_time.strftime("%Y:%m:%d %H:%M:%S")
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return exif_data
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except ValueError:
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print("Modifying date went wrong, exiting...")
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exit()
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def run(self):
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"""Run the main program."""
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self.load_or_ask_settings()
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self.get_user_settings()
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self.process_images()
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print("Done")
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if __name__ == "__main__":
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app = Optima35("config/settings.yaml", "config/exif_options.yaml")
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app.run()
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