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# Licensed under the Apache License, Version 2.0 (the "License");
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import pynini
from nemo_text_processing.text_normalization.en.graph_utils import NEMO_SPACE, GraphFst
from nemo_text_processing.text_normalization.fr.utils import get_abs_path
from pynini.lib import pynutil


class OrdinalFst(GraphFst):
    """
    Finite state transducer for classifying ordinal
        	"2e" -> ordinal { integer: "deux" morphosyntactic_features: "ième" }
    This grammar covers from single digits to hundreds of billions ("milliardième" in French).
    This FST also records the ending of the ordinal (called "morphosyntactic_features").
    Args:
        cardinal: CardinalFst
        deterministic: if True will provide a single transduction option,
            for False multiple transduction are generated (used for audio-based normalization)
    """

    def __init__(self, cardinal: GraphFst, deterministic: bool = True):
        super().__init__(name="ordinal", kind="classify")

        numbers = cardinal.all_nums_no_tokens
        numbers_graph = pynutil.insert("integer: \"") + numbers + pynutil.insert("\"")

        suffixes = pynini.string_file(get_abs_path("data/ordinals/suffixes.tsv"))
        suffixes_graph = pynutil.insert("morphosyntactic_features: \"") + suffixes + pynutil.insert("\"")

        final_graph = numbers_graph + pynutil.insert(NEMO_SPACE) + suffixes_graph
        self.graph = final_graph

        final_graph = self.add_tokens(final_graph)
        self.fst = final_graph.optimize()
