import cv2 as cv
import numpy as np


def get_ref_from_string(phrase, font):
    result = font[ord(phrase[0])]
    for i in phrase[1:]:
        result = np.concatenate((result, font[ord(i)]), axis=1)
    return result


font_helvB08 = list()
for i in range(256):
    font_helvB08.append(
        cv.imread("./flippigator/fonts/font_helvB08/helvB08_" + str(i) + ".png")
    )

font_HaxrCorp_4089 = list()
for i in range(256):
    font_HaxrCorp_4089.append(
        cv.imread(
            "./flippigator/fonts/font_HaxrCorp_4089/HaxrCorp_4089_" + str(i) + ".png"
        )
    )

font_profont11 = list()
for i in range(256):
    font_profont11.append(
        cv.imread("./flippigator/fonts/font_profont11/profont11_" + str(i) + ".png")
    )

font_profont22 = list()
for i in range(256):
    font_profont22.append(
        cv.imread("./flippigator/fonts/font_profont22/profont22_" + str(i) + ".png")
    )

phrase1 = "iButton"
phrase2 = (
    "And this phrase is typed by font 'HaxrCorp_4089', like flipper's file browser"
)
phrase3 = "iButton"
phrase4 = (
    "And if you think that whole that fonts are too smal, we also have 'profont22'!"
)

cv.imshow("out1", get_ref_from_string(phrase1, font_helvB08))
cv.imshow("out2", get_ref_from_string(phrase2, font_HaxrCorp_4089))
cv.imshow("out3", get_ref_from_string(phrase3, font_profont11))
cv.imshow("out4", get_ref_from_string(phrase4, font_profont22))
cv.waitKey()