FunASR/fun_text_processing/text_normalization/ru/verbalizers/verbalize_final.py

import os

import pynini
from fun_text_processing.text_normalization.en.graph_utils import (
    GraphFst,
    delete_extra_space,
    delete_space,
    generator_main,
)
from fun_text_processing.text_normalization.en.verbalizers.word import WordFst
from fun_text_processing.text_normalization.ru.verbalizers.verbalize import VerbalizeFst
from pynini.lib import pynutil

import logging


class VerbalizeFinalFst(GraphFst):
    """
    Finite state transducer that verbalizes an entire sentence, e.g. 
    tokens { name: "its" } tokens { time { hours: "12" minutes: "30" } } tokens { name: "now" } -> its 12:30 now

    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: bool = True, cache_dir: str = None, overwrite_cache: bool = False):
        super().__init__(name="verbalize_final", kind="verbalize", deterministic=deterministic)

        far_file = None
        if cache_dir is not None and cache_dir != "None":
            os.makedirs(cache_dir, exist_ok=True)
            far_file = os.path.join(cache_dir, f"ru_tn_{deterministic}_deterministic_verbalizer.far")
        if not overwrite_cache and far_file and os.path.exists(far_file):
            self.fst = pynini.Far(far_file, mode="r")["verbalize"]
            logging.info(f'VerbalizeFinalFst graph was restored from {far_file}.')
        else:

            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.optimize()

            if far_file:
                generator_main(far_file, {"verbalize": self.fst})
                logging.info(f"VerbalizeFinalFst grammars are saved to {far_file}.")