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


class DecimalFst(GraphFst):
    """
    Finite state transducer for verbalizing decimal, e.g.
        tokens { decimal { integer_part: "одно целая" fractional_part: "восемь сотых} } ->
            "одно целая восемь сотых"

    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="decimal", kind="verbalize", deterministic=deterministic)

        optional_sign = pynini.closure(pynini.cross('negative: "true" ', "минус "), 0, 1)
        integer = pynutil.delete(' "') + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete('"')
        integer_part = pynutil.delete("integer_part:") + integer
        fractional_part = pynutil.delete("fractional_part:") + integer
        optional_quantity_part = pynini.closure(
            pynini.accep(" ")
            + pynutil.delete('quantity: "')
            + pynini.closure(DAMO_NOT_QUOTE, 1)
            + pynutil.delete('"'),
            0,
            1,
        )

        self.graph = (
            optional_sign
            + integer_part
            + pynini.accep(" ")
            + fractional_part
            + optional_quantity_part
            + delete_space
        )
        delete_tokens = self.delete_tokens(self.graph)
        self.fst = delete_tokens.optimize()