#!/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="shibing624/nli_zh", type=str)
    parser.add_argument("--dataset_name", default="STS-B", 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/sts_b.jsonl"),
        type=str
    )

    args = parser.parse_args()
    return args


def main():
    args = get_args()

    dataset_dict = load_dataset(
        path=args.dataset_path,
        name=args.dataset_name,
        cache_dir=args.dataset_cache_dir,
    )
    print(dataset_dict)

    with open(args.output_file, "w", encoding="utf-8") as f:
        for split, dataset in dataset_dict.items():
            for sample in dataset:
                sentence1 = sample["sentence1"]
                sentence2 = sample["sentence2"]
                label = sample["label"]

                label = "1" if label >= 3 else "0"

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

                row = {
                    "sentence1": sentence1,
                    "sentence2": sentence2,
                    "label": label,
                    "category": None,
                    "data_source": "STS-B",
                    "split": split
                }

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

    return


if __name__ == '__main__':
    main()