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# The layout of class Optima35 was originally made by ChatGPT, but major adjustments have been made.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()