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


class WhiteListFst(GraphFst):
    """
    Finite state transducer for verbalizing whitelist
        e.g. tokens { name: "misses" } } -> misses

    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="whitelist", kind="verbalize", deterministic=deterministic)
        graph = (
            pynutil.delete("name:")
            + delete_space
            + pynutil.delete('"')
            + pynini.closure(DAMO_CHAR - " ", 1)
            + pynutil.delete('"')
        )
        graph = graph @ pynini.cdrewrite(pynini.cross("\u00A0", " "), "", "", DAMO_SIGMA)
        self.fst = graph.optimize()