import cv2
import numpy as np
from PIL import Image as PILImage


def _image_to_numpy(image):
    if image is None:
        return None
    if isinstance(image, np.ndarray):
        return image
    if isinstance(image, PILImage.Image):
        return np.array(image.convert("RGB"))
    if isinstance(image, dict):
        path = image.get("path") or image.get("name")
        if path:
            with PILImage.open(path) as img:
                return np.array(img.convert("RGB"))
    if isinstance(image, str):
        with PILImage.open(image) as img:
            return np.array(img.convert("RGB"))
    return np.array(image)


def _rotate_image(image, rotate_code, direction):
    if image is None:
        return None

    try:
        image_array = _image_to_numpy(image)
        return cv2.rotate(image_array, rotate_code)
    except Exception as e:
        print(f"Error rotating image {direction}: {e}")
        return image


def rotate_image_90_left(image):
    """Rotate image 90 degrees counter-clockwise."""
    return _rotate_image(image, cv2.ROTATE_90_COUNTERCLOCKWISE, "left")


def rotate_image_90_right(image):
    """Rotate image 90 degrees clockwise."""
    return _rotate_image(image, cv2.ROTATE_90_CLOCKWISE, "right")


def rotate_image_180(image):
    """Rotate image 180 degrees."""
    return _rotate_image(image, cv2.ROTATE_180, "180 degrees")


def reset_image_to_original(current_image, original_image):
    """Reset image to the stored original image when available."""
    if original_image is None:
        return current_image
    return original_image