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import pynini

from nemo_text_processing.text_normalization.zh.graph_utils import GraphFst, delete_space
from nemo_text_processing.text_normalization.zh.verbalizers.cardinal import CardinalFst
from nemo_text_processing.text_normalization.zh.verbalizers.date import DateFst
from nemo_text_processing.text_normalization.zh.verbalizers.decimal import DecimalFst
from nemo_text_processing.text_normalization.zh.verbalizers.fraction import FractionFst
from nemo_text_processing.text_normalization.zh.verbalizers.measure import MeasureFst
from nemo_text_processing.text_normalization.zh.verbalizers.money import MoneyFst
from nemo_text_processing.text_normalization.zh.verbalizers.ordinal import OrdinalFst
from nemo_text_processing.text_normalization.zh.verbalizers.time import TimeFst
from nemo_text_processing.text_normalization.zh.verbalizers.whitelist import Whitelist
from nemo_text_processing.text_normalization.zh.verbalizers.word import WordFst


class VerbalizeFst(GraphFst):
    """
    Composes other verbalizer grammars.
    For deployment, this grammar will be compiled and exported to OpenFst Finate State Archiv (FAR) File. 
    More details to deployment at NeMo/tools/text_processing_deployment.
    Args:
        deterministic: if True will provide a single transduction option,
            for False multiple options (used for audio-based normalization)
    """

    def __init__(self, deterministic: bool = True):
        super().__init__(name="verbalize", kind="verbalize", deterministic=deterministic)

        date = DateFst(deterministic=deterministic)
        cardinal = CardinalFst(deterministic=deterministic)
        ordinal = OrdinalFst(deterministic=deterministic)
        decimal = DecimalFst(deterministic=deterministic)
        word = WordFst(deterministic=deterministic)
        fraction = FractionFst(decimal=decimal, deterministic=deterministic)
        money = MoneyFst(decimal=decimal, deterministic=deterministic)
        measure = MeasureFst(cardinal=cardinal, decimal=decimal, fraction=fraction, deterministic=deterministic)
        time = TimeFst(deterministic=deterministic)
        whitelist = Whitelist(deterministic=deterministic)

        graph = pynini.union(
            date.fst,
            cardinal.fst,
            ordinal.fst,
            decimal.fst,
            fraction.fst,
            word.fst,
            money.fst,
            measure.fst,
            time.fst,
            whitelist.fst,
        )
        graph = pynini.closure(delete_space) + graph + pynini.closure(delete_space)

        self.fst = graph.optimize()