import pynini
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from fun_text_processing.text_normalization.en.graph_utils import (
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DAMO_DIGIT,
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DAMO_NOT_QUOTE,
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GraphFst,
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delete_space,
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insert_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,
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e.g. time { hours: "à 1" minutes: "10" } -> à 1:10
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e.g. time { hours: "às 2" minutes: "45" } -> às 2:45
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"""
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def __init__(self):
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super().__init__(name="time", kind="verbalize")
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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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prefix = (
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pynutil.delete("morphosyntactic_features:")
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+ delete_space
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+ pynutil.delete('"')
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+ pynini.closure(DAMO_NOT_QUOTE, 1)
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+ pynutil.delete('"')
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+ delete_space
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+ insert_space
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)
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optional_prefix = pynini.closure(prefix, 0, 1)
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hour = (
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pynutil.delete("hours:")
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+ delete_space
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+ pynutil.delete('"')
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+ pynini.closure(DAMO_DIGIT, 1)
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+ pynutil.delete('"')
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)
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minute = (
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pynutil.delete("minutes:")
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+ delete_space
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+ pynutil.delete('"')
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+ pynini.closure(DAMO_DIGIT, 1)
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+ pynutil.delete('"')
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)
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suffix = (
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delete_space
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+ insert_space
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+ pynutil.delete("suffix:")
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+ delete_space
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+ pynutil.delete('"')
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+ pynini.closure(DAMO_NOT_QUOTE, 1)
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+ pynutil.delete('"')
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)
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optional_suffix = pynini.closure(suffix, 0, 1)
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graph = (
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optional_prefix
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+ hour
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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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+ optional_suffix
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)
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delete_tokens = self.delete_tokens(graph)
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self.fst = delete_tokens.optimize()
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