#!/usr/bin/python3
# -*- coding: utf-8 -*-
import argparse
from collections import defaultdict
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, DownloadMode
from tqdm import tqdm

from language_identification import LANGUAGE_MAP
from project_settings import project_path


def get_args():
    parser = argparse.ArgumentParser()
    parser.add_argument("--dataset_path", default="xnli", type=str)
    parser.add_argument("--dataset_name", default="all_languages", 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/xnli.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,
        # download_mode=DownloadMode.FORCE_REDOWNLOAD
    )
    print(dataset_dict)

    split_map = {
        "dev": "validation",
        "validate": "validation"
    }

    language_map = {
        "zh": "zh-cn"
    }

    text_set = set()
    counter = defaultdict(int)
    with open(args.output_file, "w", encoding="utf-8") as f:
        for k, v in dataset_dict.items():
            if k in split_map.keys():
                split = split_map[k]
            else:
                split = k
            if split not in ("train", "validation", "test"):
                print("skip split: {}".format(split))
                continue

            for sample in tqdm(v):

                hypothesis = sample["hypothesis"]
                premise = sample["premise"]
                premise_language_list = list()
                premise_text_list = list()
                for language, text in premise.items():
                    premise_language_list.append(language)
                    premise_text_list.append(text)

                language_list = hypothesis["language"] + premise_language_list
                translation_list = hypothesis["translation"] + premise_text_list
                for language, translation in zip(language_list, translation_list):
                    text = translation.strip()
                    language = language_map.get(language, language)

                    if text in text_set:
                        continue
                    text_set.add(text)

                    if language not in LANGUAGE_MAP.keys():
                        raise AssertionError(language)

                    row = {
                        "text": text,
                        "language": language,
                        "data_source": "xnli",
                        "split": split
                    }
                    row = json.dumps(row, ensure_ascii=False)
                    f.write("{}\n".format(row))
                    counter[split] += 1

    print("counter: {}".format(counter))

    return


if __name__ == '__main__':
    main()