import pynini
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from fun_text_processing.text_normalization.en.graph_utils import (
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DAMO_ALPHA,
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DAMO_DIGIT,
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GraphFst,
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delete_space,
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)
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from pynini.lib import pynutil
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class TimeFst(GraphFst):
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"""
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Finite state transducer for verbalizing time, e.g.
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time { hours: "8" minutes: "30" zone: "e s t" } -> 08:30 Uhr est
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time { hours: "8" } -> 8 Uhr
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time { hours: "8" minutes: "30" seconds: "10" } -> 08:30:10 Uhr
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"""
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def __init__(self, deterministic: bool = True):
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super().__init__(name="time", kind="verbalize", deterministic=deterministic)
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add_leading_zero_to_double_digit = (DAMO_DIGIT + DAMO_DIGIT) | (
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pynutil.insert("0") + DAMO_DIGIT
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)
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hour = pynutil.delete('hours: "') + pynini.closure(DAMO_DIGIT, 1) + pynutil.delete('"')
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minute = pynutil.delete('minutes: "') + pynini.closure(DAMO_DIGIT, 1) + pynutil.delete('"')
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second = pynutil.delete('seconds: "') + pynini.closure(DAMO_DIGIT, 1) + pynutil.delete('"')
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zone = (
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pynutil.delete('zone: "')
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+ pynini.closure(DAMO_ALPHA + delete_space)
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+ DAMO_ALPHA
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+ pynutil.delete('"')
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)
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optional_zone = pynini.closure(pynini.accep(" ") + zone, 0, 1)
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graph = (
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delete_space
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+ pynutil.insert(":")
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+ (minute @ add_leading_zero_to_double_digit)
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+ pynini.closure(
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delete_space + pynutil.insert(":") + (second @ add_leading_zero_to_double_digit),
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0,
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1,
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)
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+ pynutil.insert(" Uhr")
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+ optional_zone
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)
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graph_h = hour + pynutil.insert(" Uhr") + optional_zone
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graph_hm = hour @ add_leading_zero_to_double_digit + graph
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graph_hms = hour @ add_leading_zero_to_double_digit + graph
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final_graph = graph_hm | graph_hms | graph_h
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self.fst = self.delete_tokens(final_graph).optimize()
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