"""
Author: Khanh Phan
Date: 2023-11-01
"""

import time
from os import listdir
from os.path import (
    isfile,
    join,
)

import cv2

from src.postprocessing import postprocess_result
from src.settings import (
    IMAGE_FORMAT,
    OCR_JA,
    OCR_ML,
)
from src.visualization import visualize_result


def paddleOCR(path):
    """
    perform ocr
    args:
        path(str): path to input folder
    return(str):
        text in markdown format
    """
    # imgs = [f for f in listdir(path) if isfile(join(path, f))]
    imgs = []
    for file in listdir(path):
        if isfile(join(path, file)) and file.endswith(IMAGE_FORMAT):
            imgs.append(file)
    for img_file in imgs:
        img_path = join(path, img_file)

        image = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE)
        """
        cls = False: to improve the performance
            recognize text only from -90 to 90 degree
        """
        time_start = time.time()
        result = OCR_JA.ocr(image, cls=True, det=True, rec=True)
        time_ocr = time.time()
        result = postprocess_result(image, result, OCR_ML)
        visualize_result(result, img_path)
        print(
            f"{img_file}\t{len(result[0])}\t"
            f"{time_ocr - time_start}\t{time.time() - time_ocr}",
        )


if __name__ == "__main__":
    path = "data/"
    paddleOCR(path)