SYSTEM: You are a Python programmer tasked with refactoring code. You are proficient in Python 3.12 and use modern features where appropriate. Your code is clear, easy to read, and free of unnecessary verbosity. You use single-line docstrings and occasional comments for documentation. Often, the code you receive is just one part of a larger program. USER: Focus on the # --- Corrupted Files --- section of the code combine the def check_file_for_corruption and the def check_for_corrupted_files() function to reduce redundancy. Do not change the rest of the code if it does not need to be changed as a result of the changes in the corrupted files section. Code: import ctypes
import logging
import os
import shutil
import subprocess
import threading
import time
import tkinter as tk
from collections import defaultdict
from concurrent.futures import ThreadPoolExecutor
from contextlib import contextmanager
from pathlib import Path
from queue import Queue
from tkinter import filedialog
from tkinter import ttk
from typing import Any, Callable, Dict, Iterable, List, Set, Tuple
from dataclasses import dataclass, field

import tempfile
import numpy as np
from PIL import Image, ImageOps

# --- Configuration ---

@dataclass
class SharedState:
    """Represents the shared state across the application."""
    processed_files_lock: threading.Lock = field(default_factory=threading.Lock)
    processed_files_count: int = 0
    total_files_count: int = 0
    log_message_queue: Queue = field(default_factory=Queue)
    tab_messages: Dict[str, List[str]] = field(default_factory=lambda: {
        "Log": [],
        "Black": [],
        "White": [],
        "Color": []
    })
    stop_event: threading.Event = field(default_factory=threading.Event)

class Config:
    """Configuration settings for the image processing application."""  
    SCRIPT_DIR: Path = Path(__file__).parent.resolve()
    INPUT_FOLDER: Path = Path(os.getenv('INPUT_FOLDER', SCRIPT_DIR / '1. Input'))
    OUTPUT_FOLDER: Path = Path(os.getenv('OUTPUT_FOLDER', SCRIPT_DIR / '2. Output'))
    DEFAULT_INPUT_FOLDER: Path = INPUT_FOLDER
    DEFAULT_OUTPUT_FOLDER: Path = OUTPUT_FOLDER

    # Executable Paths
    IMAGEMAGICK: Path = Path(os.getenv('IMAGEMAGICK', 'D:/Bilder/Python/0. Code/Requirements/ImageMagick.exe'))
    FFMPEG: Path = Path(os.getenv('FFMPEG', 'D:/Bilder/Python/0. Code/Requirements/ffmpeg.exe'))

    # Supported File Extensions
    AUDIO_EXTENSIONS: Set[str] = {'.mka', '.mpga', '.mp3', '.aac', '.flac', '.opus'}
    IMAGE_EXTENSIONS: Set[str] = {'.png', '.jpg', '.jpeg', '.webp'}
    VIDEO_EXTENSIONS: Set[str] = {'.mkv', '.mp4'}

    # Display and Formatting Constants
    SEPARATOR_LENGTH: int = 310
    PADDING_LENGTH: int = 82
    PROGRESS_BAR_LENGTH: int = 100

    # Default Resize Options
    DEFAULT_RESIZE_MODE: str = "Shortest Side"
    DEFAULT_RESIZE_WIDTH: int = 0
    DEFAULT_RESIZE_HEIGHT: int = 0
    DEFAULT_RESIZE_SIDE: int = 1600
    DEFAULT_RESIZE_FORMAT: str = "png"

    # Color Detection Thresholds
    COLORDIFF_THRESHOLD: int = 5
    FRACTION_COLORED_PIXELS_THRESHOLD: float = 0.03

    @classmethod
    def setup(cls) -> None:
        """Create output directory and configure logging settings."""
        cls.OUTPUT_FOLDER.mkdir(parents=True, exist_ok=True)
        logging.getLogger("PIL").setLevel(logging.WARNING)

    @classmethod
    def initialize(cls) -> SharedState:
        """Initialize configuration and return shared state."""
        cls.setup()
        return SharedState()

@contextmanager
def create_temp_folder() -> Path:
    """Yield a temporary folder within the output directory."""
    with tempfile.TemporaryDirectory(dir=Config.OUTPUT_FOLDER) as temp_dir:
        yield Path(temp_dir)

# --- Utility Functions ---

def log_error(message: str) -> None:
    """Log an error message to the shared state queue."""
    shared_state.log_message_queue.put(f"- {message}")

def clear_console() -> None:
    """Clear the console screen."""
    os.system('cls' if os.name == 'nt' else 'clear')

def count_image_files(folder: Path) -> int:
    """Count the number of image files in a folder and its subfolders."""
    return sum(1 for path in folder.rglob('*') if path.is_file() and path.suffix.lower() in IMAGE_EXTENSIONS)

def is_valid_image(path: Path) -> bool:
    """Check if the given path is a valid image file."""
    try:
        with Image.open(path):
            return True
    except (OSError, ValueError) as e:
        log_error(f"Error reading image {path}: {e}")
        return False

def open_and_convert_image(path: Path) -> Image.Image:
    """Open an image and convert it to an appropriate mode."""
    with Image.open(path) as img:
        match img.mode:
            case 'P':
                return img.convert('L')
            case 'L' | 'RGB' | 'RGBA':
                return img.copy()
            case _:
                return img.convert('RGB')

def check_executable(executable: Path, name: str) -> None:
    """Check if a given executable is available in the system."""
    if not shutil.which(str(executable)):
        raise FileNotFoundError(f"- {name} executable not found at: {executable}")

def check_imagemagick() -> None:
    """Check if ImageMagick is available in the system."""
    check_executable(Config.IMAGEMAGICK, "ImageMagick")

def check_ffmpeg() -> None:
    """Check if FFmpeg is available in the system."""
    check_executable(Config.FFMPEG, "FFmpeg")

# --- Color Detection ---

def is_color_image(
    img: np.ndarray,
    diff_threshold: int = Config.COLORDIFF_THRESHOLD,
    fraction_threshold: float = Config.FRACTION_COLORED_PIXELS_THRESHOLD
) -> bool:
    """Determine if an image is color based on RGB channel differences."""
    # Check if the image has three channels (RGB)
    if img.ndim != 3 or img.shape[2] != 3:
        return False

    # Calculate the peak-to-peak (max - min) difference across the RGB channels for each pixel
    max_diff = np.ptp(img, axis=2)

    # Compute the fraction of pixels where the max difference exceeds the threshold
    fraction_colored = np.mean(max_diff > diff_threshold)

    # Determine if the image meets or exceeds the required fraction of colored pixels
    return fraction_colored >= fraction_threshold

# --- Process Bar and Multithreading ---

def update_status(start_time: float, processed_count: int, total_files: int) -> None:
    """Update the application's status text with processing details."""
    elapsed_time = time.time() - start_time
    minutes, seconds = divmod(int(elapsed_time), 60)
    elapsed_time_str = f"{minutes:02d}:{seconds:02d}"

    start_time_str = time.strftime('%H:%M:%S', time.localtime(start_time))
    status_text = (
        f"Start Time: {start_time_str} - "
        f"Processed Files: {processed_count}/{total_files} - "
        f"Elapsed Time: {elapsed_time_str} Minutes"
    )
    
    padded_status_text = status_text.ljust(Config.PADDING_LENGTH)
    app.update_status_text(padded_status_text)

def update_elapsed_time(start_time: float, total_files: int, stop_event: threading.Event) -> None:
    """Continuously update the elapsed time until the stop event is set."""
    while not stop_event.is_set():
        update_status(start_time, shared_state.processed_files_count, total_files)
        time.sleep(1)

def start_elapsed_time_thread(start_time: float, total_files: int, stop_event: threading.Event) -> threading.Thread:
    """Start a thread to update the elapsed time."""
    thread = threading.Thread(
        target=update_elapsed_time,
        args=(start_time, total_files, stop_event),
        daemon=True
    )
    thread.start()
    return thread

def run_with_thread_pool(tasks: Iterable[Any], process_func: Callable[..., Any], *args) -> int:
    """Execute tasks using a thread pool, updating progress and handling errors."""
    shared_state.processed_files_count = 0
    shared_state.total_files_count = total = len(tasks)
    start_time = time.time()

    app.update_progress(0)

    stop_event = threading.Event()
    elapsed_time_thread = start_elapsed_time_thread(start_time, total, stop_event)

    try:
        with ThreadPoolExecutor() as executor:
            futures: list[Future] = [
                executor.submit(process_func, task, *args) for task in tasks
            ]

            for index, future in enumerate(futures, start=1):
                if shared_state.stop_event.is_set():
                    for f in futures:
                        f.cancel()
                    break
                try:
                    future.result()
                except Exception as e:
                    log_error(f"Error during processing: {e}")
                finally:
                    progress = (index / total) * 100
                    app.update_progress(progress)
    finally:
        stop_event.set()
        elapsed_time_thread.join()

    return total

# --- Image Processing Functions ---

def process_grayscale_image(
    img: np.ndarray,
    path: Path,
    image_processor: 'ImageProcessor',
    temp_folder: Path
) -> Tuple[Path, int, int]:
    """Adjust grayscale values and save the processed image."""
    try:
        adjusted, modal_black, modal_white = adjust_values(img)
        relative_parent = path.parent.relative_to(Config.INPUT_FOLDER)
        out_path = temp_folder / relative_parent / f"{path.stem}.png"
        out_path.parent.mkdir(parents=True, exist_ok=True)

        Image.fromarray(adjusted).convert('L').save(out_path, format='PNG', compress_level=5)

        subfolder = relative_parent.as_posix()
        filename = path.name

        if modal_black:
            image_processor.black_results[subfolder].append((filename, modal_black))
        if modal_white != 255:
            image_processor.white_results[subfolder].append((filename, modal_white))

        return out_path, modal_black, modal_white
    except (ValueError, OSError) as e:
        log_error(f"Error processing grayscale image {path}: {e}")
        return path, 0, 255

def process_color_image(
    img: np.ndarray,
    path: Path,
    image_processor: 'ImageProcessor',
    temp_folder: Path,
    diff_threshold: int = Config.COLORDIFF_THRESHOLD,
    fraction_threshold: float = Config.FRACTION_COLORED_PIXELS_THRESHOLD
) -> Tuple[Path, bool]:
    """Process an image to determine if it's color or grayscale and handle accordingly."""
    try:
        if is_color_image(img, diff_threshold, fraction_threshold):
            # Save color image as PNG
            relative_path = path.relative_to(Config.INPUT_FOLDER).with_suffix('.png')
            out_path = temp_folder / relative_path
            out_path.parent.mkdir(parents=True, exist_ok=True)
            Image.fromarray(img).save(out_path, format='PNG', compress_level=5)

            subfolder = path.parent.relative_to(Config.INPUT_FOLDER).as_posix()
            image_processor.color_results[subfolder].append(path.name)

            return out_path, False

        # Handle grayscale image
        gray_image = ImageOps.grayscale(Image.fromarray(img))
        gray_array = np.array(gray_image)
        out_path, modal_black, modal_white = process_grayscale_image(
            gray_array, path, image_processor, temp_folder
        )
        return out_path, modal_black != 0
    except (OSError, ValueError) as e:
        log_error(f"Error processing image {path}: {e}")
        return path, False

def adjust_values(img: np.ndarray) -> Tuple[np.ndarray, int, int]:
    """Adjust the values of a grayscale image."""
    try:
        # Calculate modal white value in the range [250, 256)
        hist_white, bins_white = np.histogram(img[img >= 250], bins=6, range=(250, 256))
        modal_white = int(bins_white[np.argmax(hist_white)])

        # Calculate modal black value in the range [0, 61)
        hist_black, bins_black = np.histogram(img[img < 61], bins=61, range=(0, 61))
        modal_black = int(bins_black[np.argmax(hist_black)])

        # Convert image to float for processing
        adjusted = img.astype(np.float64)

        # Scale image if modal white is not at maximum intensity
        if modal_white != 255:
            adjusted *= 255.0 / modal_white
            adjusted = np.clip(adjusted, 0, 255)

        # Adjust image based on modal black value
        if modal_black:
            adjusted = (adjusted - modal_black) * (255.0 / (255 - modal_black))
            adjusted = np.clip(adjusted, 0, 255)

            gamma = 1.0 - (modal_black / 255.0)
            adjusted = np.power(adjusted / 255.0, gamma) * 255

            # Preserve original extreme values
            adjusted[img == 0] = 0
            adjusted[img == 255] = 255

        # Convert back to unsigned 8-bit integer
        adjusted = adjusted.astype(np.uint8)

        return adjusted, modal_black, modal_white

    except ValueError as e:
        log_error(f"Error adjusting values for image: {e}")
        return img, 0, 255

def analyze_images(image_processor: 'ImageProcessor') -> None:
    """Analyze images in the input folder for color properties."""
    image_processor.reset_results()
    image_files = [
        path for path in Config.INPUT_FOLDER.rglob('*')
        if path.is_file() and path.suffix.lower() in Config.IMAGE_EXTENSIONS
    ]

    if not image_files:
        log_error(f"No image files found in '{Config.INPUT_FOLDER}'")
        return

    with create_temp_folder() as temp_folder:
        start_time = time.time()
        run_with_thread_pool(image_files, analyze_file, start_time, len(image_files))

def analyze_file(path: Path, start_time: float, total: int) -> None:
    """Analyze an image to classify it as color or grayscale."""
    if not is_valid_image(path):
        return

    try:
        img = np.array(open_and_convert_image(path))
        subfolder = path.parent.relative_to(Config.INPUT_FOLDER).as_posix()
        filename = path.name

        if is_color_image(img):
            image_processor.color_results[subfolder].append(filename)
        else:
            adjusted, modal_black, modal_white = adjust_values(img)
            if modal_black:
                image_processor.black_results[subfolder].append((filename, modal_black))
            if modal_white != 255:
                image_processor.white_results[subfolder].append((filename, modal_white))
    except (OSError, ValueError) as e:
        log_error(f"Error processing image {path}: {e}")
    finally:
        with shared_state.processed_files_lock:
            shared_state.processed_files_count += 1
        update_status(start_time, shared_state.processed_files_count, total)

def find_color_images(image_processor: "ImageProcessor") -> None:
    """Find and move color images to the output folder."""
    image_processor.reset_results()
    image_extensions: set[str] = {ext.lower() for ext in Config.IMAGE_EXTENSIONS}

    tasks: list[Path]
    if not (tasks := [
        path
        for path in Config.INPUT_FOLDER.rglob("*")
        if path.is_file() and path.suffix.lower() in image_extensions
    ]):
        log_error(f"No image files found in '{Config.INPUT_FOLDER}'")
        return

    with create_temp_folder():
        run_with_thread_pool(
            tasks, move_color_image_file, time.time(), len(tasks), image_processor
        )

def move_color_image_file(path: Path, start_time: float, total_files: int, image_processor: 'ImageProcessor') -> None:
    """Move a color image file to the output folder and update processing status."""
    if not is_valid_image(path):
        with shared_state.processed_files_lock:
            shared_state.processed_files_count += 1
        update_status(start_time, shared_state.processed_files_count, total_files)
        return

    try:
        img = np.array(open_and_convert_image(path))
        if is_color_image(img):
            rel_path = path.relative_to(Config.INPUT_FOLDER)
            out_path = Config.OUTPUT_FOLDER / rel_path
            out_path.parent.mkdir(parents=True, exist_ok=True)
            shutil.move(str(path), str(out_path))

            subfolder = str(path.parent.relative_to(Config.INPUT_FOLDER))
            image_processor.color_results[subfolder].append(path.name)
    except (OSError, ValueError) as e:
        log_error(f"Error processing image {path}: {e}")
    finally:
        with shared_state.processed_files_lock:
            shared_state.processed_files_count += 1
        update_status(start_time, shared_state.processed_files_count, total_files)

# --- Corrupted Files ---

def check_file_for_corruption(file_path: Path, error_queue: Queue[Any]) -> None:
    """Check a file for corruption using FFmpeg."""
    try:
        file_extension = file_path.suffix.lower()
        allowed_extensions = (
            Config.VIDEO_EXTENSIONS
            | Config.AUDIO_EXTENSIONS
            | Config.IMAGE_EXTENSIONS
        )

        if file_extension not in allowed_extensions:
            return

        base_command = [
            str(Config.FFMPEG),
            "-v",
            "error",
            "-i",
            str(file_path),
        ]

        if file_extension in Config.VIDEO_EXTENSIONS:
            base_command += ["-map", "0:a:0"]

        base_command += ["-f", "null", "-"]

        result = subprocess.run(
            base_command,
            capture_output=True,
            text=True,
            encoding="utf-8",
            errors="ignore",
        )

        combined_output = f"{result.stdout}\n{result.stderr}"
        error_messages = [
            line.strip()
            for line in combined_output.splitlines()
            if "error" in line.lower()
        ]

        if error_messages:
            error_queue.put((file_path.resolve(), error_messages))

    except Exception as e:
        error_queue.put(
            (
                file_path.resolve(),
                [f"Error processing file {file_path}: {e}"],
            )
        )

def check_for_corrupted_files():
    """Check for corrupted files in the input folder."""
    image_processor.reset_results()

    try:
        check_ffmpeg()
    except FileNotFoundError as error:
        log_error(str(error))
        return

    valid_extensions = (
        Config.VIDEO_EXTENSIONS |
        Config.AUDIO_EXTENSIONS |
        Config.IMAGE_EXTENSIONS
    )

    tasks = [
        file_path for file_path in Config.INPUT_FOLDER.rglob('*')
        if file_path.is_file() and file_path.suffix.lower() in valid_extensions
    ]

    if not tasks:
        log_error(f"No valid media files found in '{Config.INPUT_FOLDER}'")
        return

    error_queue = Queue()
    start_time = time.time()
    total_files = len(tasks)

    def process_task(file_path: Path, error_queue: Queue, start_time: float, total_files: int):
        """Process a single file for corruption."""
        check_file_for_corruption(file_path, error_queue)
        with shared_state.processed_files_lock:
            shared_state.processed_files_count += 1
        update_status(start_time, shared_state.processed_files_count, total_files)

    run_with_thread_pool(tasks, process_task, error_queue, start_time, total_files)
    log_errors(error_queue)

# --- Images ---

def convert_png_to_jpg(input_path: Path, output_path: Path):
    """Convert a PNG image to JPG format."""
    try:
        with Image.open(input_path) as img:
            # Convert image to 'RGB' if it's not already in 'RGB' or 'L' mode
            if img.mode not in ('RGB', 'L'):
                img = img.convert('RGB')
            
            jpg_path = output_path.with_suffix('.jpg')
            img.save(jpg_path, 'JPEG', quality=80, subsampling=0)
        
        input_path.unlink()
    except Exception as e:
        log_error(f"Error converting {input_path} to JPG: {e}")

def resize_image(input_path: Path, output_path: Path):
    """Resize an image using ImageMagick."""
    output_path = output_path.with_suffix('.png')

    identify_command = [
        str(Config.IMAGEMAGICK),
        str(input_path),
        '-format', '%wx%h',
        'info:'
    ]
    try:
        result = subprocess.run(identify_command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, check=True)
        current_width, current_height = map(int, result.stdout.strip().split('x'))
    except subprocess.CalledProcessError as e:
        log_error(f"ImageMagick identify failed for {input_path}: {e.stderr.strip()}")
        return output_path

    resize_mode = app.RESIZE_MODE.get()
    if resize_mode == "Fit":
        target_width = int(app.RESIZE_WIDTH.get()) if app.RESIZE_WIDTH.get() else 0
        target_height = int(app.RESIZE_HEIGHT.get()) if app.RESIZE_HEIGHT.get() else 0 
        if app.maintain_aspect_ratio.get():
            if target_width == 0:
                target_width = int(target_height * (current_width / current_height))
            elif target_height == 0:
                target_height = int(target_width * (current_height / current_width))
        resize_arg = f'{target_width}x{target_height}!'
    else:  # Shortest Side
        target_size = int(app.RESIZE_SIDE.get())
        resize_arg = f'{target_size}x{target_size}^'

    is_upscaling = (resize_mode == "Fit" and (target_width > current_width or target_height > current_height)) or \
                   (resize_mode == "Shortest Side" and target_size > min(current_width, current_height))

    if is_upscaling:
        command = [
            str(Config.IMAGEMAGICK),
            str(input_path),
            '-filter', 'LanczosSharp',
            '-distort', 'Resize', resize_arg,
        ]
    else:
        command = [
            str(Config.IMAGEMAGICK),
            str(input_path),
            '-colorspace', 'RGB',
            '-filter', 'Lanczos2Sharp',
            '-resize', resize_arg,
            '-colorspace', 'sRGB',
        ]

    command.extend(['-define', 'png:compression-level=5'])
    command.append(str(output_path))

    try:
        result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, check=True)
        if result.stderr:
            log_error(f"ImageMagick: {result.stderr.strip()}")
    except subprocess.CalledProcessError as e:
        log_error(f"ImageMagick resize failed for {input_path}: {e.stderr.strip()}")

    return output_path

# --- Processing ---

def resize_images(input_folder: Path, output_folder: Path, image_processor: 'ImageProcessor'):
    """Resize images in the input folder and save them to the output folder."""
    try:
        check_imagemagick()
    except FileNotFoundError as e:
        log_error(str(e))
        return

    tasks = [input_path for input_path in input_folder.rglob('*') 
             if input_path.is_file() and input_path.suffix.lower() in Config.IMAGE_EXTENSIONS]

    if not tasks:
        log_error(f"No image files found in '{input_folder}'")
        return

    with create_temp_folder() as temp_folder:
        try:
            run_with_thread_pool(tasks, process_file, time.time(), len(tasks), image_processor, temp_folder, True)
        finally:
            pass

def process_file(path: Path, start_time, total_files, image_processor: 'ImageProcessor', temp_folder: Path, resize=False, auto_correct_and_resize=False) -> None:
    """Process a single image file."""
    if shared_state.stop_event.is_set():
        return

    if not is_valid_image(path):
        log_error(f"Invalid image file: {path}")
        with shared_state.processed_files_lock:
            shared_state.processed_files_count += 1
        update_status(start_time, shared_state.processed_files_count, total_files)
        return

    try:
        img = np.array(open_and_convert_image(path))
    except (OSError, ValueError) as e:
        log_error(f"Error reading image {path}: {e}")
        with shared_state.processed_files_lock:
            shared_state.processed_files_count += 1
        update_status(start_time, shared_state.processed_files_count, total_files)
        return

    relative_path = path.relative_to(Config.INPUT_FOLDER)
    temp_output_path = temp_folder / relative_path
    temp_output_path = temp_output_path.with_suffix('.png')
    temp_output_path.parent.mkdir(parents=True, exist_ok=True)

    if auto_correct_and_resize:
        if img.ndim == 2 or (img.ndim == 3 and img.shape[2] == 1):
            intermediate_path, _, _ = process_grayscale_image(img, path, image_processor, temp_folder)
        else:
            intermediate_path, _ = process_color_image(img, path, image_processor, temp_folder)
        temp_output_path = resize_image(intermediate_path, temp_output_path)
    elif resize:
        temp_output_path = resize_image(path, temp_output_path)
    else:
        if img.ndim == 2 or (img.ndim == 3 and img.shape[2] == 1):
            temp_output_path, _, _ = process_grayscale_image(img, path, image_processor, temp_folder)
        else:
            temp_output_path, _ = process_color_image(img, path, image_processor, temp_folder)

    final_output_path = Config.OUTPUT_FOLDER / relative_path
    final_output_path.parent.mkdir(parents=True, exist_ok=True)

    if app.RESIZE_FORMAT.get() == 'jpg':
        final_output_path = final_output_path.with_suffix('.jpg')
        convert_png_to_jpg(temp_output_path, final_output_path)
    else:
        final_output_path = final_output_path.with_suffix('.png')
        shutil.move(str(temp_output_path), str(final_output_path))

    with shared_state.processed_files_lock:
        shared_state.processed_files_count += 1
    update_status(start_time, shared_state.processed_files_count, total_files)

def process_folder(folder: Path, image_processor: 'ImageProcessor', auto_correct_and_resize=False) -> None:
    """Process all images in a folder."""
    image_processor.reset_results()

    if auto_correct_and_resize:
        try:
            check_imagemagick()
        except FileNotFoundError as e:
            log_error(str(e))
            return

    tasks = [path for path in folder.rglob('*') 
             if path.is_file() and path.suffix.lower() in Config.IMAGE_EXTENSIONS]

    if not tasks:
        log_error(f"No image files found in '{folder}'")
        return

    with create_temp_folder() as temp_folder:
        try:
            run_with_thread_pool(tasks, process_file, time.time(), len(tasks), image_processor, temp_folder, False, auto_correct_and_resize)
        finally:
            pass

# --- Logging ---

def log_errors(error_queue):
    """Log errors from the error queue."""
    error_dict = defaultdict(list)
    while not error_queue.empty():
        file_path, error_messages = error_queue.get()
        error_dict[file_path].extend(error_messages)

    if error_dict:
        shared_state.log_message_queue.put("UPDATE_LOG")
        for file_path in sorted(error_dict.keys()):
            shared_state.log_message_queue.put(f"{file_path.resolve()}")
            shared_state.log_message_queue.put("")
            for error_message in sorted(error_dict[file_path]):
                log_error(error_message)
            shared_state.log_message_queue.put("")

def log_and_execute(choice: str, label: str, function: callable, *args):
    """Log the execution of a function and run it in a separate thread."""
    def run_in_thread():
        start_time = time.time()
        separator = '-' * Config.SEPARATOR_LENGTH
        shared_state.log_message_queue.put(f"{separator}\n{label}\n{separator}\n")

        try:
            total_files = function(*args)
        except FileNotFoundError as e:
            log_error(str(e))
            total_files = 0
        except (OSError, ValueError) as e:
            log_error(f"An error occurred during '{label}': {e}")
            total_files = 0

        end_time = time.time()
        execution_time = end_time - start_time
        
        shared_state.log_message_queue.put("")
        image_processor.write_results_to_files(Config.OUTPUT_FOLDER, choice)
        
        app.after(0, app.update_final_status, execution_time)
        app.after(0, app.update_text_area)

    thread = threading.Thread(target=run_in_thread)
    thread.start()

# --- ImageProcessor Class ---

class ImageProcessor:
    """Class to handle image processing results."""
    def __init__(self):
        self.white_results = defaultdict(list)
        self.black_results = defaultdict(list)
        self.color_results = defaultdict(list)

    def write_results_to_files(self, output_folder: Path, choice: str):
        """Write processing results to files."""
        results_map = {
            '2': ("2. Analyze Images", "Modal Value Black", "Modal Value White"),
            '3': ("3. Find Color Images", "Filename"),
            '5': ("5. Automatic Color Correction", "Modal Value Black", "Modal Value White"),
            '6': ("6. Automatic Color Correction + Resize", "Modal Value Black", "Modal Value White")
        }
        headers = results_map.get(choice)
        if headers:
            if choice == '3':
                self._write_results("Color", self.color_results, headers[0], headers[1])
            else:
                self._write_results("Black", self.black_results, headers[0], headers[1])
                self._write_results("White", self.white_results, headers[0], headers[2])
                self._write_results("Color", self.color_results, headers[0], "Filename")

    def _write_results(self, file_path: str, results: Dict[str, List[Tuple[str, int]]], header: str,
                       value_name: str):
        """Write results to a specific file."""
        separator = '-' * Config.SEPARATOR_LENGTH
        content = f"{separator}\n{header}\n{separator}\n"
        if results:
            for subfolder, subfolder_results in sorted(results.items()):
                full_subfolder_path = Config.INPUT_FOLDER / subfolder
                content += f"\n{full_subfolder_path}\n\n"
                if value_name == "Filename":
                    subfolder_results.sort()
                    content += '\n'.join(f" - {filename}" for filename in subfolder_results)
                else:
                    subfolder_results.sort(key=lambda x: x[1], reverse=True)
                    content += '\n'.join(
                        f" - {filename}, {value_name}: {value}" for filename, value in subfolder_results)
                content += "\n"
        shared_state.tab_messages[file_path].append(content)

    def reset_results(self):
        """Reset all results."""
        self.white_results = defaultdict(list)
        self.black_results = defaultdict(list)
        self.color_results = defaultdict(list)

# --- Tkinter App ---

class App(tk.Tk):
    def __init__(self):
        super().__init__()
        self.setup_window()
        self.create_variables()
        self.create_widgets()
        self.setup_logging()
        self.process_start_time = 0

    def setup_window(self):
        self.set_dpi_awareness()
        self.title("Image Processor")
        self.geometry("2100x1180")
        self.default_font = ("Roboto Flex", 16)
        self.apply_default_font()

    def set_dpi_awareness(self):
        try:
            ctypes.windll.shcore.SetProcessDpiAwareness(1)
        except Exception as e:
            print(f"Could not set DPI awareness: {e}")

    def apply_default_font(self):
        self.option_add("*Font", self.default_font)
        self.style = ttk.Style()
        for widget_type in ["TButton", "TLabel", "TEntry", "TRadiobutton", "TNotebook.Tab"]:
            self.style.configure(widget_type, font=self.default_font)
        self.style.configure("TFrame", background="#fdfdfd")
        self.style.configure("TLabel", background="#fdfdfd")
        self.style.configure("TNotebook", background="#f8f8f8")
        self.style.configure("TRadiobutton", background="#fdfdfd")

    def create_variables(self):
        self.RESIZE_MODE = tk.StringVar(value=Config.DEFAULT_RESIZE_MODE)
        self.RESIZE_WIDTH = tk.StringVar(value=str(Config.DEFAULT_RESIZE_WIDTH))
        self.RESIZE_HEIGHT = tk.StringVar(value=str(Config.DEFAULT_RESIZE_HEIGHT))
        self.RESIZE_SIDE = tk.StringVar(value=str(Config.DEFAULT_RESIZE_SIDE))
        self.RESIZE_FORMAT = tk.StringVar(value=Config.DEFAULT_RESIZE_FORMAT)
        self.option_var = tk.StringVar(value="4")
        self.status_text = tk.StringVar(value="")

    def create_widgets(self):
        main_frame = ttk.Frame(self, padding="20")
        main_frame.pack(fill=tk.BOTH, expand=True)

        self.create_folder_selection_frames(main_frame)
        self.create_resize_options_frame(main_frame)
        self.create_options_and_start_frame(main_frame)
        self.create_text_frame(main_frame)
        self.create_progress_bar(main_frame)
        self.create_status_label(main_frame)

    def create_folder_selection_frames(self, parent):
        self.create_folder_frame(parent, "Input", Config.INPUT_FOLDER, self.set_default_input, self.select_input_folder)
        self.create_folder_frame(parent, "Output", Config.OUTPUT_FOLDER, self.set_default_output, self.select_output_folder)

    def create_folder_frame(self, parent, label, default_folder, default_command, select_command):
        frame = ttk.Frame(parent)
        frame.pack(fill=tk.X, pady=(0, 10))

        ttk.Button(frame, text="Default", command=default_command, width=10).pack(side=tk.LEFT, padx=(0, 10))

        entry = ttk.Entry(frame)
        entry.insert(0, str(default_folder))
        entry.pack(side=tk.LEFT, expand=True, fill=tk.X)

        ttk.Button(frame, text=f"Select {label} Folder", command=select_command, width=20).pack(side=tk.LEFT, padx=(10, 0))

        setattr(self, f"{label.lower()}_entry", entry)

    def create_resize_options_frame(self, parent):
        resize_frame = ttk.Frame(parent)
        resize_frame.pack(fill=tk.X, pady=(0, 10))

        ttk.Button(resize_frame, text="Default", command=self.reset_resize_options, width=10).pack(side=tk.LEFT, padx=(0, 10))

        self.create_resize_options(resize_frame)

        self.start_button = ttk.Button(resize_frame, text="Start", command=self.start_processing, width=20)
        self.start_button.pack(side=tk.RIGHT, padx=(10, 0))

    def create_resize_options(self, frame):
        ttk.Label(frame, text="Format:").pack(side=tk.LEFT, padx=(0, 5))
        ttk.Combobox(frame, textvariable=self.RESIZE_FORMAT, values=["png", "jpg"], state="readonly", width=4).pack(side=tk.LEFT, padx=(0, 10))

        ttk.Label(frame, text="Resize:").pack(side=tk.LEFT, padx=(0, 5))
        mode_combo = ttk.Combobox(frame, textvariable=self.RESIZE_MODE, values=["Shortest Side", "Fit"], state="readonly", width=12)
        mode_combo.pack(side=tk.LEFT, padx=(0, 10))
        mode_combo.bind("<<ComboboxSelected>>", self.update_resize_options)

        self.width_label = ttk.Label(frame, text="Width:")
        self.width_entry = ttk.Entry(frame, textvariable=self.RESIZE_WIDTH, width=5)
        self.height_label = ttk.Label(frame, text="Height:")
        self.height_entry = ttk.Entry(frame, textvariable=self.RESIZE_HEIGHT, width=5)
        self.maintain_aspect_ratio = tk.BooleanVar(value=False)
        self.maintain_aspect_ratio_label = ttk.Label(frame, text="Maintain Aspect Ratio", font=self.default_font) 
        self.maintain_aspect_ratio_checkbox = ttk.Checkbutton(frame, variable=self.maintain_aspect_ratio)
        self.side_label = ttk.Label(frame, text="Side:")
        self.side_entry = ttk.Entry(frame, textvariable=self.RESIZE_SIDE, width=5)

        self.update_resize_options()

    def create_options_and_start_frame(self, parent):
        frame = ttk.Frame(parent)
        frame.pack(fill=tk.X, pady=(0, 10))

        self.create_options_frame(frame)
        self.create_stop_button(frame)

    def create_options_frame(self, parent):
        options_frame = ttk.Frame(parent)
        options_frame.pack(side=tk.LEFT, fill=tk.X, expand=True)

        options = [
            ("Check For Corrupted Files", "4"),
            ("Analyze Images", "2"),
            ("Find Color Images", "3"),
            ("Resize Images", "1"),
            ("Automatic Color Correction", "5"),
            ("Automatic Color Correction + Resize", "6")
        ]

        for col, (text, value) in enumerate(options):
            ttk.Radiobutton(options_frame, text=text, variable=self.option_var, value=value).grid(row=0, column=col, sticky="ew")
            options_frame.columnconfigure(col, weight=1)

    def create_stop_button(self, parent):
        self.stop_button = ttk.Button(parent, text="Stop", command=self.stop_processing, width=20, state=tk.DISABLED)
        self.stop_button.pack(side=tk.RIGHT, padx=(10, 0))

    def create_text_frame(self, parent):
        text_frame = ttk.Frame(parent)
        text_frame.pack(fill=tk.BOTH, expand=True)

        self.notebook = ttk.Notebook(text_frame)
        self.notebook.pack(fill=tk.BOTH, expand=True)

        self.text_areas = {}
        for tab in ["Log", "Black", "White", "Color"]:
            frame = ttk.Frame(self.notebook)
            self.notebook.add(frame, text=tab)
            self.text_areas[tab] = self.create_text_area(frame)

    def create_text_area(self, parent):
        frame = ttk.Frame(parent)
        frame.pack(fill=tk.BOTH, expand=True)

        text_area = tk.Text(frame, wrap=tk.NONE, bg="#ffffff", state='disabled', padx=7, pady=7, fg="#000000", font=self.default_font)
        scrollbar_y = ttk.Scrollbar(frame, command=text_area.yview)
        scrollbar_x = ttk.Scrollbar(frame, command=text_area.xview, orient='horizontal')

        scrollbar_y.pack(side=tk.RIGHT, fill=tk.Y)
        text_area.pack(side=tk.TOP, fill=tk.BOTH, expand=True)
        scrollbar_x.pack(side=tk.BOTTOM, fill=tk.X)

        text_area.config(yscrollcommand=scrollbar_y.set, xscrollcommand=scrollbar_x.set)
        return text_area

    def create_progress_bar(self, parent):
        self.progress = ttk.Progressbar(parent, mode="determinate", maximum=Config.PROGRESS_BAR_LENGTH)
        self.progress.pack(pady=(30, 0), padx=20, fill="x")
        self.progress.config(value=0)

    def create_status_label(self, parent):
        ttk.Label(parent, textvariable=self.status_text).pack(pady=(10, 15))

    def setup_logging(self):
        self.queue_thread = threading.Thread(target=self.update_text_area_from_queue, daemon=True)
        self.queue_thread.start()

    def set_default_folder(self, entry, default_folder):
        entry.delete(0, tk.END)
        entry.insert(0, str(default_folder))
        return Path(default_folder)

    def set_default_input(self):
        Config.INPUT_FOLDER = self.set_default_folder(self.input_entry, Config.DEFAULT_INPUT_FOLDER)

    def set_default_output(self):
        Config.OUTPUT_FOLDER = self.set_default_folder(self.output_entry, Config.DEFAULT_OUTPUT_FOLDER)

    def select_folder(self, entry: ttk.Entry, config_attr: str) -> None:
        selected_folder = filedialog.askdirectory()
        if selected_folder:
            path = Path(selected_folder).resolve()
            entry.delete(0, tk.END)
            entry.insert(0, str(path))
            setattr(Config, config_attr, path)

    def select_input_folder(self):
        self.select_folder(self.input_entry, 'INPUT_FOLDER')

    def select_output_folder(self):
        self.select_folder(self.output_entry, 'OUTPUT_FOLDER')

    def update_status_text(self, text):
        self.status_text.set(text)
        self.update_idletasks()

    def update_progress(self, value):
        self.progress['value'] = min(value, Config.PROGRESS_BAR_LENGTH)
        self.update_idletasks()

    def update_text_area(self, content_key=None, message=None):
        for tab_key, text_area in self.text_areas.items():
            text_area.configure(state='normal')
            text_area.delete("1.0", tk.END)
            content = "\n".join(shared_state.tab_messages[tab_key])
            text_area.insert(tk.END, content)
            text_area.configure(state='disabled')

    def start_processing(self):
        shared_state.stop_event.clear()
        self.start_button.config(state=tk.DISABLED)
        self.stop_button.config(state=tk.NORMAL)
        self.process_start_time = time.time()
        if hasattr(self, 'stopped_by_user'):
            delattr(self, 'stopped_by_user')
        choice = self.option_var.get()

        actions = {
            "1": ("1. Resize Images", resize_images, Config.INPUT_FOLDER, Config.OUTPUT_FOLDER, image_processor),
            "2": ("2. Analyze Images", analyze_images, image_processor),
            "3": ("3. Find Color Images", find_color_images, image_processor),
            "4": ("4. Check For Corrupted Files", check_for_corrupted_files),
            "5": ("5. Automatic Color Correction", process_folder, Config.INPUT_FOLDER, image_processor),
            "6": ("6. Automatic Color Correction + Resize", process_folder, Config.INPUT_FOLDER, image_processor, True),
        }

        label, func, *args = actions.get(choice, ("Unknown Action", lambda: None))
        log_and_execute(choice, label, func, *args)

    def stop_processing(self):
        shared_state.stop_event.set()
        self.stopped_by_user = True
        self.stop_button.config(state=tk.DISABLED)
        self.start_button.config(state=tk.NORMAL)

    def update_resize_options(self, event=None):
        mode = self.RESIZE_MODE.get()
        if mode == "Fit":
            self.side_label.pack_forget()
            self.side_entry.pack_forget()
            self.width_label.pack(side=tk.LEFT, padx=(10, 5))
            self.width_entry.pack(side=tk.LEFT, padx=(0, 10))
            self.height_label.pack(side=tk.LEFT, padx=(0, 5))
            self.height_entry.pack(side=tk.LEFT, padx=(0, 10))
            self.maintain_aspect_ratio_label.pack(side=tk.LEFT, padx=(10, 0))
            self.maintain_aspect_ratio_checkbox.pack(side=tk.LEFT, padx=(0, 10))
        else:  # Shortest Side
            self.width_label.pack_forget()
            self.width_entry.pack_forget()
            self.height_label.pack_forget()
            self.height_entry.pack_forget()
            self.maintain_aspect_ratio_checkbox.pack_forget()
            self.maintain_aspect_ratio_label.pack_forget()
            self.side_label.pack(side=tk.LEFT, padx=(10, 5))
            self.side_entry.pack(side=tk.LEFT, padx=(0, 10))

    def reset_resize_options(self):
        self.RESIZE_MODE.set(Config.DEFAULT_RESIZE_MODE)
        self.RESIZE_WIDTH.set(str(Config.DEFAULT_RESIZE_WIDTH))
        self.RESIZE_HEIGHT.set(str(Config.DEFAULT_RESIZE_HEIGHT))
        self.RESIZE_SIDE.set(str(Config.DEFAULT_RESIZE_SIDE))
        self.RESIZE_FORMAT.set(Config.DEFAULT_RESIZE_FORMAT)
        self.update_resize_options()

    def update_text_area_from_queue(self):
        while True:
            if not shared_state.log_message_queue.empty():
                try:
                    item = shared_state.log_message_queue.get(block=True, timeout=0.1)
                    self.process_log_message(item)
                except:
                    pass
            else:
                time.sleep(0.1)

    def process_log_message(self, item):
        update_tabs = {"UPDATE_LOG": "Log", "UPDATE_BLACK": "Black", "UPDATE_WHITE": "White", "UPDATE_COLOR": "Color"}
        if item in update_tabs:
            self.after(0, self.update_text_area, update_tabs[item])
        else:
            self.update_tab_messages(item)

    def update_tab_messages(self, item):
        if "Modal Value Black" in item:
            shared_state.tab_messages["Black"].append(item)
        if "Modal Value White" in item:
            shared_state.tab_messages["White"].append(item)
        if "Filename" in item:
            shared_state.tab_messages["Color"].append(item)
        shared_state.tab_messages["Log"].append(item)

        for tab in ["Log", "Black", "White", "Color"]:
            self.after(0, self.update_text_area, tab)

    def update_final_status(self, execution_time):
        self.update_progress(100)
        end_time = time.time()
        start_time = self.process_start_time
        processed_count = shared_state.processed_files_count
        total_files = shared_state.total_files_count

        start_time_str = time.strftime('%H:%M:%S', time.localtime(start_time))
        elapsed_minutes = int(execution_time // 60)
        elapsed_seconds = int(execution_time % 60)
        elapsed_time_str = f"{elapsed_minutes:02d}:{elapsed_seconds:02d}"

        status_text = (
            f"Start Time: {start_time_str} - "
            f"Processed Files: {processed_count}/{total_files} - "
            f"Elapsed Time: {elapsed_time_str} Minutes"
        )
    
        if hasattr(self, 'stopped_by_user') and self.stopped_by_user:
            status_text += " - Processing stopped by user"
            delattr(self, 'stopped_by_user')

        padded_status_text = status_text.ljust(Config.PADDING_LENGTH)
        self.update_status_text(padded_status_text)
        self.reset_gui()

    def reset_gui(self):
        self.start_button.config(state=tk.NORMAL)
        self.stop_button.config(state=tk.DISABLED)

# --- Main Execution ---

if __name__ == "__main__":
    shared_state = Config.initialize()
    image_processor = ImageProcessor()
    app = App()
    app.mainloop()