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from nemo_text_processing.text_normalization.en.graph_utils import GraphFst
from nemo_text_processing.text_normalization.hy.verbalizers.cardinal import CardinalFst
from nemo_text_processing.text_normalization.hy.verbalizers.decimal import DecimalFst
from nemo_text_processing.text_normalization.hy.verbalizers.fraction import FractionFst
from nemo_text_processing.text_normalization.hy.verbalizers.measure import MeasureFst
from nemo_text_processing.text_normalization.hy.verbalizers.money import MoneyFst
from nemo_text_processing.text_normalization.hy.verbalizers.ordinal import OrdinalFst
from nemo_text_processing.text_normalization.hy.verbalizers.time import TimeFst
from nemo_text_processing.text_normalization.hy.verbalizers.whitelist import WhiteListFst


class VerbalizeFst(GraphFst):
    """
        Composes other verbalizer grammars.
        For deployment, this grammar will be compiled and exported to OpenFst Finite State Archive (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=True):
        super().__init__(name="verbalize", kind="verbalize")
        cardinal = CardinalFst()
        cardinal_graph = cardinal.fst
        ordinal_graph = OrdinalFst().fst
        decimal = DecimalFst()
        decimal_graph = decimal.fst
        fraction = FractionFst()
        fraction_graph = fraction.fst
        measure_graph = MeasureFst(decimal=decimal, cardinal=cardinal).fst
        money_graph = MoneyFst().fst
        time_graph = TimeFst().fst
        whitelist_graph = WhiteListFst().fst
        graph = (
            time_graph
            | fraction_graph
            | measure_graph
            | money_graph
            | ordinal_graph
            | decimal_graph
            | cardinal_graph
            | whitelist_graph
        )
        self.fst = graph.optimize()