import os
import argparse


def gen_rec_label(input_path, out_label):
    out_file = open(out_label, 'w')
    with open(input_path, 'r') as f:
        for line in f.readlines():
            tmp = line.strip('\n').replace(" ", "").split(',')
            img_path, label = tmp[0], tmp[1]
            label = label.replace("\"", "")
            out_file.write(img_path + '\t' + label + '\n')
    out_file.close()


def gen_det_label(input_dir, out_label):
    root_path = ""
    if "training" in input_dir:
        root_path = "icdar_c4_train_imgs/"
    elif "test" in input_dir:
        root_path = "ch4_test_images/"
    out_file = open(out_label, 'w')
    for label_file in os.listdir(input_dir):
        img_path = root_path + label_file[3:-4] + ".jpg"
        label = []
        with open(os.path.join(input_dir, label_file), 'r') as f:
            for line in f.readlines():
                tmp = line.strip("\n\r").replace("\xef\xbb\xbf", "").split(',')
                points = tmp[:-2]
                s = []
                for i in range(0, len(points), 2):
                    b = points[i:i + 2]
                    s.append(b)
                result = {"transcription": tmp[-1], "points": s}
                label.append(result)
        out_file.write(img_path + '\t' + str(label) + '\n')
    out_file.close()


if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument(
        '--mode',
        type=str,
        default="rec",
        help='Generate rec_label or det_label, can be set rec or det')
    parser.add_argument(
        '--input_path',
        type=str,
        default=".",
        help='Input_label or input path to be converted')
    parser.add_argument(
        '--output_label',
        type=str,
        default="out_label.txt",
        help='Output file name')

    args = parser.parse_args()
    if args.mode == "rec":
        print("Generate rec label")
        gen_rec_label(args.input_path, args.output_label)
    elif args.mode == "det":
        gen_det_label(args.input_path, args.output_label)