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

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

from datasets import load_dataset
import pandas as pd
from tqdm import tqdm

from project_settings import project_path


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

    parser.add_argument("--data_dir", default="./data/covid_19", type=str)
    parser.add_argument(
        "--output_file",
        default=(project_path / "data/covid_19.jsonl"),
        type=str
    )

    args = parser.parse_args()
    return args


def main():
    args = get_args()

    data_dir = Path(args.data_dir)

    train_filename = data_dir / "COVID-19/data/Dataset/train_20200228.csv"
    valid_filename = data_dir / "COVID-19/data/Dataset/dev_20200228.csv"

    df_train = pd.read_csv(train_filename)
    df_valid = pd.read_csv(valid_filename)

    with open(args.output_file, "w", encoding="utf-8") as f:
        for i, row in df_train.iterrows():
            category = row["category"]
            query1 = row["query1"]
            query2 = row["query2"]
            label = row["label"]

            label = str(int(label)) if label is not None else None

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

            row = {
                "sentence1": query1,
                "sentence2": query2,
                "label": label,
                "category": category,
                "data_source": "COVID-19",
                "split": "train"
            }

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

        for i, row in df_valid.iterrows():
            category = row["category"]
            query1 = row["query1"]
            query2 = row["query2"]
            label = row["label"]

            label = str(int(label)) if label is not None else None

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

            row = {
                "sentence1": query1,
                "sentence2": query2,
                "label": label,
                "category": category,
                "data_source": "COVID-19",
                "split": "validation"
            }

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

    return


if __name__ == '__main__':
    main()