#!/usr/bin/python3
# -*- coding: utf-8 -*-
import argparse
import json
from pathlib import Path

import pandas as pd
from tqdm import tqdm

from project_settings import project_path


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

    parser.add_argument(
        "--data_file",
        default=(project_path / "original_data/Gossiping-Chinese-Corpus-master/data/Gossiping-QA-Dataset-2_0.csv").as_posix(),
        type=str
    )
    parser.add_argument(
        "--output_file",
        default=(project_path / "data/ptt.jsonl"),
        type=str
    )

    args = parser.parse_args()
    return args


def main():
    args = get_args()

    df = pd.read_csv(args.data_file)

    with open(args.output_file, "w", encoding="utf-8") as fout:
        for i, row in df.iterrows():
            question = row["question"]
            answer = row["answer"]

            row = {
                "conversation": [
                    {
                        "role": "human",
                        "message": question,
                    },
                    {
                        "role": "assistant",
                        "message": answer,
                    },
                ],
                "category": None,
                "data_source": "ptt",
            }
            row = json.dumps(row, ensure_ascii=False)
            fout.write("{}\n".format(row))

    return


if __name__ == '__main__':
    main()