# -*- coding: utf-8 -*
# SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project
# SPDX-FileType: SOURCE
# SPDX-License-Identifier: Apache-2.0
"""
Wrapper for AttaCut - Fast and Reasonably Accurate Word Tokenizer for Thai

:See Also:
    * `GitHub repository <https://github.com/PyThaiNLP/attacut>`_
"""
from typing import List

from attacut import Tokenizer


class AttacutTokenizer:
    def __init__(self, model="attacut-sc"):
        self._MODEL_NAME = "attacut-sc"

        if model == "attacut-c":
            self._MODEL_NAME = "attacut-c"

        self._tokenizer = Tokenizer(model=self._MODEL_NAME)

    def tokenize(self, text: str) -> List[str]:
        return self._tokenizer.tokenize(text)


def segment(text: str, model: str = "attacut-sc") -> List[str]:
    """
    Wrapper for AttaCut - Fast and Reasonably Accurate Word Tokenizer for Thai
    :param str text: text to be tokenized to words
    :param str model: model of word tokenizer model
    :return: list of words, tokenized from the text
    :rtype: list[str]
    **Options for model**
        * *attacut-sc* (default) using both syllable and character features
        * *attacut-c* using only character feature
    """
    if not text or not isinstance(text, str):
        return []

    _tokenizer = AttacutTokenizer(model)

    return _tokenizer.tokenize(text)