#!/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="pib", 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/pib.jsonl"),
        type=str
    )

    args = parser.parse_args()
    return args


def main():
    args = get_args()

    name_list = [
        "or-ur",
        "ml-or",
        "bn-ta", "gu-mr", "hi-or",
        "en-or", "mr-ur", "en-ta", "hi-ta", "bn-en",
        "bn-or", "ml-ta", "gu-ur", "bn-ml", "ml-pa",
        "en-pa", "bn-hi", "hi-pa", "gu-te", "pa-ta",
        "hi-ml", "or-te", "en-ml", "en-hi", "bn-pa",
        "mr-te", "mr-pa", "bn-te", "gu-hi", "ta-ur",
        "te-ur", "or-pa", "gu-ml", "gu-pa", "hi-te",
        "en-te", "ml-te", "pa-ur", "hi-ur", "mr-or",
        "en-ur", "ml-ur", "bn-mr", "gu-ta", "pa-te",
        "bn-gu", "bn-ur", "ml-mr", "or-ta", "ta-te",
        "gu-or", "en-gu", "hi-mr", "mr-ta", "en-mr"
    ]

    # TODO: 失败, 下载不到文件 http://preon.iiit.ac.in/~jerin/resources/datasets/pib_v1.3.tar.gz
    text_set = set()
    counter = defaultdict(int)
    with open(args.output_file, "w", encoding="utf-8") as f:
        for name in name_list:
            dataset_dict = load_dataset(
                path=args.dataset_path,
                name=name,
                cache_dir=args.dataset_cache_dir,
                # download_mode=DownloadMode.FORCE_REDOWNLOAD
            )
            for k, v in dataset_dict.items():
                split = k
                if split not in ("train", "validation", "test"):
                    print("skip split: {}".format(split))
                    continue

                for sample in tqdm(v):

                    translation = sample["translation"]
                    for language, text in translation.items():
                        text = text.strip()

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

                        if language not in LANGUAGE_MAP.keys():
                            raise AssertionError("language: {}, text: {}".format(language, text))

                        row = {
                            "text": text,
                            "language": language,
                            "data_source": "pib",
                            "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()