import pynini
from fun_text_processing.text_normalization.en.graph_utils import (
    DAMO_NOT_QUOTE,
    GraphFst,
    delete_space,
    insert_space,
)
from pynini.lib import pynutil


class TimeFst(GraphFst):
    """
    Finite state transducer for verbalizing electronic
        e.g. time { hours: "два часа пятнадцать минут" } -> "два часа пятнадцать минут"

    Args:
        deterministic: if True will provide a single transduction option,
        for False multiple transduction are generated (used for audio-based normalization)
    """

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

        hour = (
            pynutil.delete("hours:")
            + delete_space
            + pynutil.delete('"')
            + pynini.closure(DAMO_NOT_QUOTE, 1)
            + pynutil.delete('"')
        )
        minutes = (
            pynutil.delete("minutes:")
            + delete_space
            + pynutil.delete('"')
            + pynini.closure(DAMO_NOT_QUOTE, 1)
            + pynutil.delete('"')
        )

        self.graph = (
            hour
            + delete_space
            + insert_space
            + minutes
            + delete_space
            + pynutil.delete("preserve_order: true")
        )
        self.graph |= hour + delete_space
        self.graph |= minutes + delete_space + insert_space + hour + delete_space

        delete_tokens = self.delete_tokens(self.graph)
        self.fst = delete_tokens.optimize()