import os
import shutil
from os.path import dirname, join

from datasets import load_dataset
from underthesea import word_tokenize
from underthesea.pipeline.word_tokenize.regex_tokenize import tokenize
from underthesea.utils import logger


def create_wtk_dataset(text_dataset, output_folder):
    if os.path.exists(output_folder):
        shutil.rmtree(output_folder)
    os.makedirs(output_folder)
    for split in ["train", "validation", "test"]:
        sentences = text_dataset[split]["text"]
        with open(join(output_folder, f"{split}.txt"), "w") as f:
            for sentence in sentences:
                items = word_tokenize(sentence)
                for item in items:
                    tokens = item.split()
                    for i, token in enumerate(tokens):
                        if i > 0:
                            f.write(f"{token}\tI-W\n")
                        else:
                            f.write(f"{token}\tB-W\n")
                f.write("\n")


pwd = dirname(__file__)
data_folder = join(pwd, "data")

text_dataset = load_dataset("undertheseanlp/UTS_Text", "small")
create_wtk_dataset(text_dataset, join(data_folder, "small"))

# text_dataset = load_dataset("undertheseanlp/UTS_Text", "base")
# create_wtk_dataset(text_dataset, join(data_folder, "base"))

# text_dataset = load_dataset("undertheseanlp/UTS_Text", "large")
# create_wtk_dataset(text_dataset, join(data_folder, "large"))