import base64
import json
import sys

import cv2
import numpy as np

from main import find_occupied_squares
from runner import find_homography, warp_board
from tensor_classifier import predict_board


stdin = sys.stdin.readline()
stdin_decoded = base64.b64decode(stdin)
img_array = np.frombuffer(stdin_decoded, dtype=np.uint8)
camera_img = cv2.imdecode(img_array, flags=cv2.COLOR_BGR2RGB)
camera_img = cv2.cvtColor(camera_img, cv2.COLOR_BGR2RGB)

# def do_everything:
homography = find_homography(camera_img)
warped_board = warp_board(camera_img, homography)
occupied_squares = find_occupied_squares(warped_board)
board = predict_board(occupied_squares)

# Finally, output to stdout for unity to read
result = {
    "homography": homography.tolist(),
    "board": board.to_array,
}

print(json.dumps(result))