#!/usr/bin/env python

import argparse
import json
import os
import os.path as osp
import warnings

import numpy as np
import PIL.Image
import yaml

from labelme import utils


warnings.warn("This script is aimed to demonstrate how to convert the\n"
              "JSON file to a single image dataset, and not to handle\n"
              "multiple JSON files to generate a real-use dataset.")


def main():
    parser = argparse.ArgumentParser()
    parser.add_argument('json_file')
    parser.add_argument('-o', '--out', default=None)
    args = parser.parse_args()

    json_file = args.json_file

    if args.out is None:
        out_dir = osp.basename(json_file).replace('.', '_')
        out_dir = osp.join(osp.dirname(json_file), out_dir)
    else:
        out_dir = args.out
    if not osp.exists(out_dir):
        os.mkdir(out_dir)

    data = json.load(open(json_file))

    img = utils.img_b64_to_array(data['imageData'])
    lbl, lbl_names = utils.labelme_shapes_to_label(img.shape, data['shapes'])

    captions = ['%d: %s' % (l, name) for l, name in enumerate(lbl_names)]
    lbl_viz = utils.draw_label(lbl, img, captions)

    PIL.Image.fromarray(img).save(osp.join(out_dir, 'img.png'))
    PIL.Image.fromarray(lbl).save(osp.join(out_dir, 'label.png'))
    PIL.Image.fromarray(lbl_viz).save(osp.join(out_dir, 'label_viz.png'))

    with open(osp.join(out_dir, 'label_names.txt'), 'w') as f:
        for lbl_name in lbl_names:
            f.write(lbl_name + '\n')

    warnings.warn('info.yaml is being replaced by label_names.txt')
    info = dict(label_names=lbl_names)
    with open(osp.join(out_dir, 'info.yaml'), 'w') as f:
        yaml.safe_dump(info, f, default_flow_style=False)

    print('Saved to: %s' % out_dir)


if __name__ == '__main__':
    main()