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import pynini
from pynini.lib import pynutil

from nemo_text_processing.text_normalization.en.graph_utils import GraphFst, delete_extra_space, delete_space
from nemo_text_processing.text_normalization.hy.verbalizers.verbalize import VerbalizeFst
from nemo_text_processing.text_normalization.hy.verbalizers.word import WordFst


class VerbalizeFinalFst(GraphFst):
    """
        Finite state transducer that verbalizes an entire sentence, e.g.
        tokens { name: "Երևանում" } tokens { name: "ժամը" } tokens { time { hours: "տասներկուսն" minutes: "հիսունհինգ" } } tokens { name: "է" } tokens { name: ":" } -> Երևանում ժամը տասներկուսն անց հիսունհինգ է:

        Args:
            deterministic: if True will provide a single transduction option,
                for False multiple options (used for audio-based normalization)
            cache_dir: path to a dir with .far grammar file. Set to None to avoid using cache.
            overwrite_cache: set to True to overwrite .far files
        """

    def __init__(self, deterministic=True, cache_dir=None, overwrite_cache=False):
        super().__init__(name="verbalize_final", kind="verbalize")
        verbalize = VerbalizeFst().fst
        word = WordFst().fst
        types = verbalize | word
        graph = (
            pynutil.delete("tokens")
            + delete_space
            + pynutil.delete("{")
            + delete_space
            + types
            + delete_space
            + pynutil.delete("}")
        )
        graph = delete_space + pynini.closure(graph + delete_extra_space) + graph + delete_space
        self.fst = graph