#!/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/Dialog_Corpus-master/xiaohuangji50w_nofenci.conv/xiaohuangji50w_nofenci.conv").as_posix(),
        type=str
    )
    parser.add_argument(
        "--output_file",
        default=(project_path / "data/xiaohuangji.jsonl"),
        type=str
    )

    args = parser.parse_args()
    return args


def main():
    args = get_args()

    with open(args.output_file, "w", encoding="utf-8") as fout:
        with open(args.data_file, "r", encoding="utf-8") as fin:
            conversation = list()
            for row in fin:
                splits = str(row).strip().split(maxsplit=1)
                if len(splits) == 0:
                    continue

                if len(splits) == 1:
                    if len(conversation) == 0:
                        continue

                    if len(conversation) == 2:
                        conversation[0]["role"] = "human"
                        conversation[1]["role"] = "assistant"
                    row_ = {
                        "conversation": conversation,
                        "category": None,
                        "data_source": "xiaohuangji",
                    }
                    row_ = json.dumps(row_, ensure_ascii=False)
                    fout.write("{}\n".format(row_))
                    conversation = list()
                else:
                    message = splits[1]

                    conversation.append({
                        "role": "unknown",
                        "message": message,
                    })

    return


if __name__ == '__main__':
    main()