from thinc.api import Config

from .stop_words import STOP_WORDS
from .lex_attrs import LEX_ATTRS
from ...language import Language
from ...tokens import Doc
from ...util import DummyTokenizer, registry


DEFAULT_CONFIG = """
[nlp]

[nlp.tokenizer]
@tokenizers = "spacy.th.ThaiTokenizer"
"""


@registry.tokenizers("spacy.th.ThaiTokenizer")
def create_thai_tokenizer():
    def thai_tokenizer_factory(nlp):
        return ThaiTokenizer(nlp)

    return thai_tokenizer_factory


class ThaiTokenizer(DummyTokenizer):
    def __init__(self, nlp: Language) -> None:
        try:
            from pythainlp.tokenize import word_tokenize
        except ImportError:
            raise ImportError(
                "The Thai tokenizer requires the PyThaiNLP library: "
                "https://github.com/PyThaiNLP/pythainlp"
            )
        self.word_tokenize = word_tokenize
        self.vocab = nlp.vocab

    def __call__(self, text: str) -> Doc:
        words = list(self.word_tokenize(text))
        spaces = [False] * len(words)
        return Doc(self.vocab, words=words, spaces=spaces)


class ThaiDefaults(Language.Defaults):
    config = Config().from_str(DEFAULT_CONFIG)
    lex_attr_getters = LEX_ATTRS
    stop_words = STOP_WORDS


class Thai(Language):
    lang = "th"
    Defaults = ThaiDefaults


__all__ = ["Thai"]