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


class CardinalFst(GraphFst):
    """
    Finite state transducer for verbalizing roman numerals
        e.g. cardinal { integer: "1 001" } -> 1 001

    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="cardinal", kind="verbalize", deterministic=deterministic)

        optional_sign = pynini.closure(
            pynutil.delete("negative:")
            + delete_space
            + pynutil.delete('"')
            + DAMO_NOT_QUOTE
            + pynutil.delete('"')
            + delete_space,
            0,
            1,
        )

        graph = (
            optional_sign
            + pynutil.delete('integer: "')
            + pynini.closure(DAMO_NOT_QUOTE, 1)
            + pynutil.delete('"')
        )
        delete_tokens = self.delete_tokens(graph)
        self.fst = delete_tokens.optimize()