#!/usr/bin/python3
# -*- coding: utf-8 -*-
import argparse
import json
import os
import sys

pwd = os.path.abspath(os.path.dirname(__file__))
sys.path.append(os.path.join(pwd, '../../'))

from datasets import load_dataset
from tqdm import tqdm

from project_settings import project_path


def get_args():
    parser = argparse.ArgumentParser()

    parser.add_argument("--dataset_path", default="tiansz/ChineseSTS", type=str)
    parser.add_argument(
        "--dataset_cache_dir",
        default=(project_path / "hub_datasets").as_posix(),
        type=str
    )
    parser.add_argument(
        "--output_file",
        default=(project_path / "data/chinese_sts.jsonl"),
        type=str
    )

    args = parser.parse_args()
    return args


def main():
    args = get_args()

    dataset_dict = load_dataset(
        path=args.dataset_path,
        cache_dir=args.dataset_cache_dir,
    )
    print(dataset_dict)
    with open(args.output_file, "w", encoding="utf-8") as f:
        for sample in tqdm(dataset_dict["train"]):
            text = sample["text"]

            if text == "句子1\t句子2\t相似度":
                continue

            splits = text.split("\t")
            if len(splits) != 3:
                raise AssertionError

            sentence1 = splits[0]
            sentence2 = splits[1]
            label = splits[2]
            label = str(int(float(label)))

            if sentence1 == sentence2:
                continue

            if label not in ("0", "1", None):
                raise AssertionError

            row = {
                "sentence1": sentence1,
                "sentence2": sentence2,
                "label": label,
                "category": None,
                "data_source": "ChineseSTS",
                "split": "train"
            }

            row = json.dumps(row, ensure_ascii=False)
            f.write("{}\n".format(row))

    return


if __name__ == '__main__':
    main()