Refactor the code to implement the following: After analyzing the provided code, it's evident that several functions share common code patterns and could be combined to reduce redundancies. Specifically, the following functions can be combined:

    Per-Image Processing Functions:
        analyze_file
        process_file
        move_color_image_file

    Batch Processing Functions:
        analyze_images
        process_folder
        find_color_images

Reasons for Combining:

    Shared Structure: All these functions follow a similar structure where they:
        Validate and load an image file.
        Perform some form of processing on the image.
        Update the processing count and status.
        Handle exceptions and errors in a similar manner.

    Redundant Code Blocks: There are code blocks that are nearly identical across these functions, particularly in how images are loaded, errors are handled, and the processing count is updated.

    Opportunity for Generalization: By abstracting the common code into general functions and using callback functions or mode parameters to handle specific processing tasks, we can reduce code duplication and improve maintainability.

Proposed Combined Functions:

    General Image Processing Function:

    Combine analyze_file, process_file, and move_color_image_file into a single function, process_image_file, which handles the common tasks and accepts a parameter to specify the type of processing to perform.

def process_image_file(
    path: Path,
    start_time: float,
    total_files: int,
    processing_mode: str,
    image_processor: 'ImageProcessor',
    temp_folder: Path = None,
    *args,
    **kwargs
) -> None:
    """General image file processing function."""
    if shared_state.stop_event.is_set():
        return

    img = validate_and_load_image(path)
    if img is None:
        log_error(f"Invalid image file: {path}")
        increment_processed_count(start_time, total_files)
        return

    try:
        img_array = np.array(img)
        if processing_mode == 'analyze':
            # Place code from analyze_file here
            pass
        elif processing_mode == 'process':
            # Place code from process_file here
            pass
        elif processing_mode == 'move_color':
            # Place code from move_color_image_file here
            pass
        else:
            log_error(f"Unknown processing mode: {processing_mode}")
    except (OSError, ValueError) as e:
        log_error(f"Error processing image {path}: {e}")
    finally:
        increment_processed_count(start_time, total_files)

General Batch Processing Function:

Combine analyze_images, process_folder, and find_color_images into a single function, process_images, which prepares the list of image files and calls process_image_file for each one.

    def process_images(
        folder: Path,
        processing_mode: str,
        image_processor: 'ImageProcessor',
        *args,
        **kwargs
    ) -> None:
        """General function to process images in a folder."""
        image_processor.reset_results()
        image_files = [
            path for path in 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 '{folder}'")
            return

        start_time = time.time()
        total_files = len(image_files)

        with create_temp_folder() as temp_folder:
            run_with_thread_pool(
                image_files,
                process_image_file,
                start_time,
                total_files,
                processing_mode,
                image_processor,
                temp_folder,
                *args,
                **kwargs
            )

Benefits of Combining:

    Reduced Code Duplication: By consolidating similar functions into general ones, we eliminate redundant code blocks.
    Improved Maintainability: Changes or fixes need to be made in only one place, reducing the risk of inconsistencies.
    Enhanced Flexibility: The combined functions can handle different processing tasks based on parameters, making the codebase more adaptable to future requirements.

Conclusion:

By combining the aforementioned functions, the code becomes cleaner, more maintainable, and less prone to errors. This approach leverages the commonalities among the functions while still allowing for specific processing tasks through parameters or callback functions. Only print the parts of the code that need to be changed. 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, Optional
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)

# --- 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()

# --- 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 validate_and_load_image(path: Path) -> Optional[Image.Image]:
    """Validate and load image, return None if invalid."""
    try:
        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')
    except (OSError, ValueError) as e:
        log_error(f"Error reading image {path}: {e}")
        return None

def convert_png_to_jpg(input_path: Path, output_path: Path) -> None:
    """Convert a PNG image to JPG format."""
    try:
        with Image.open(input_path) as img:
            if img.mode not in ('RGB', 'L'):
                img = img.convert('RGB')
            
            jpg_path = output_path.with_suffix('.jpg')
            img.save(jpg_path, format='JPEG', quality=80, subsampling=0)
        
        input_path.unlink()
    except Exception as e:
        log_error(f"Error converting {input_path} to JPG: {e}")

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 increment_processed_count(start_time: float, total_files: int) -> None:
    """Safely increment the processed files count and update the status."""
    with shared_state.processed_files_lock:
        shared_state.processed_files_count += 1
    update_status(start_time, shared_state.processed_files_count, total_files)

# --- 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

# --- Color Detection And Adjustment ---

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

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

# --- Image Analyzes ---

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."""
    img = validate_and_load_image(path)
    if img is None:
        return

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

        if is_color_image(img_array):
            image_processor.color_results[subfolder].append(filename)
        else:
            adjusted, modal_black, modal_white = adjust_values(img_array)
            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:
        increment_processed_count(start_time, 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."""
    img = validate_and_load_image(path)
    if img is None:
        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_array = np.array(img)
        if is_color_image(img_array):
            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:
        increment_processed_count(start_time, total_files)

# --- Corrupted Files ---

def check_for_corrupted_files() -> None:
    """Check for corrupted files in the input folder using FFmpeg."""
    image_processor.reset_results()

    try:
        check_executable(Config.FFMPEG, "FFmpeg")
    except FileNotFoundError as error:
        log_error(str(error))
        return

    valid_extensions: set[str] = (
        Config.VIDEO_EXTENSIONS 
        | Config.AUDIO_EXTENSIONS 
        | Config.IMAGE_EXTENSIONS
    )
    tasks: List[Path] = [
        file
        for file in Config.INPUT_FOLDER.rglob("*")
        if file.is_file() and file.suffix.lower() in valid_extensions
    ]

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

    error_queue: Queue[Tuple[Path, List[str]]] = Queue()
    start_time: float = time.time()
    total_files: int = len(tasks)

    def check_file(file_path: Path) -> None:
        try:
            base_command: List[str] = [
                str(Config.FFMPEG),
                "-v", "error",
                "-i", str(file_path)
            ]
            if file_path.suffix.lower() in Config.VIDEO_EXTENSIONS:
                base_command += ["-map", "0:a:0"]
            base_command += ["-f", "null", "-"]

            result: subprocess.CompletedProcess = subprocess.run(
                base_command,
                capture_output=True,
                text=True,
                encoding="utf-8",
                errors="ignore"
            )
            combined_output: str = f"{result.stdout}\n{result.stderr}"
            error_messages: List[str] = [
                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}"]))
        finally:
            increment_processed_count(start_time, total_files)

    run_with_thread_pool(tasks, check_file)
    log_errors(error_queue)

# --- Resize Images ---

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_executable(Config.IMAGEMAGICK, "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 resize_image(input_path: Path, output_path: 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()
    maintain_aspect = app.maintain_aspect_ratio.get()
    
    if resize_mode == "Fit":
        target_width = int(app.RESIZE_WIDTH.get() or 0)
        target_height = int(app.RESIZE_HEIGHT.get() or 0)
        
        if maintain_aspect:
            if target_width == 0 and target_height > 0:
                target_width = int(target_height * current_width / current_height)
            elif target_height == 0 and target_width > 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))
    )

    command = [
        str(Config.IMAGEMAGICK),
        str(input_path),
    ]
    
    if is_upscaling:
        command += [
            '-filter', 'LanczosSharp',
            '-distort', 'Resize', resize_arg,
        ]
    else:
        command += [
            '-colorspace', 'RGB',
            '-filter', 'Lanczos2Sharp',
            '-resize', resize_arg,
            '-colorspace', 'sRGB',
        ]
    
    command += [
        '-define', 'png:compression-level=5',
        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 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

    img = validate_and_load_image(path)
    if img is None:
        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_array = np.array(img)
    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.with_suffix('.png')
    temp_output_path.parent.mkdir(parents=True, exist_ok=True)

    if auto_correct_and_resize:
        # Adjust and save image, then resize
        intermediate_path, _, _ = adjust_and_save_image(img_array, path, image_processor, temp_folder)
        temp_output_path = resize_image(intermediate_path, temp_output_path)
    elif resize:
        # Only resize the original image
        temp_output_path = resize_image(path, temp_output_path)
    else:
        # Adjust and save image without resizing
        temp_output_path, _, _ = adjust_and_save_image(img_array, path, image_processor, temp_folder)

    final_output_path = Config.OUTPUT_FOLDER / relative_path.with_suffix(
        '.jpg' if app.RESIZE_FORMAT.get() == 'jpg' else '.png'
    )
    final_output_path.parent.mkdir(parents=True, exist_ok=True)

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

    increment_processed_count(start_time, 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_executable(Config.IMAGEMAGICK, "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

def adjust_and_save_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, Optional[int], Optional[int]]:
    """Process an image, adjusting and saving depending on whether it is color or grayscale."""
    try:
        is_color = is_color_image(img, diff_threshold, fraction_threshold)
        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)
        subfolder = relative_parent.as_posix()
        filename = path.name

        if is_color:
            # Save color image as PNG
            Image.fromarray(img).save(out_path, format='PNG', compress_level=5)
            image_processor.color_results[subfolder].append(filename)
            return out_path, None, None
        else:
            # Adjust grayscale values
            adjusted_img, modal_black, modal_white = adjust_values(img)
            Image.fromarray(adjusted_img).convert('L').save(out_path, format='PNG', compress_level=5)
            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 (OSError, ValueError) as e:
        log_error(f"Error processing image {path}: {e}")
        return path, None, None

# --- 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()