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


class MoneyFst(GraphFst):
    """
    Finite state transducer for verbalizing money, e.g.
        money { integer_part: "12" morphosyntactic_features: "," fractional_part: "05" currency: "$" } -> $12,05

    Args:
        decimal: DecimalFst
    """

    def __init__(self, decimal: GraphFst):
        super().__init__(name="money", kind="verbalize")
        unit = (
            pynutil.delete("currency:")
            + delete_space
            + pynutil.delete('"')
            + pynini.closure(DAMO_CHAR - " ", 1)
            + pynutil.delete('"')
        )
        graph = unit + delete_space + decimal.numbers
        delete_tokens = self.delete_tokens(graph)
        self.fst = delete_tokens.optimize()