import numpy as np
import os
from skimage.io import imread
import cv2 as cv
from pathlib import Path


def load_source(filename: str) -> np.ndarray:
  return cv.imread(filename)[..., ::-1]


def load_data(input_dir):
    image_path = Path(input_dir)
    file_names = os.listdir(image_path)
    categories_name = []
    categories_count = []
    count = 0
    n = file_names[0]
    for name in file_names:
        if name != n:
            categories_count.append(count)
            n = name
            count = 1
        else:
            count += 1
        if not name in categories_name:
            categories_name.append(name)
    categories_count.append(count)
    test_img = []
    labels = []

    for n in file_names:
        p = image_path / n
        img = load_source(str(p)) # zwraca ndarry postaci xSize x ySize x colorDepth
        test_img.append(img)
        labels.append(n)

    X = {}
    X["values"] = np.array(test_img)
    X["name"] = categories_name
    X["names_count"] = categories_count
    X["labels"] = labels
    return X