from pflow.text.textnormalizer import norm
from ukrainian_word_stress import Stressifier
import regex
import re
from ipa_uk import ipa
stressify = Stressifier(stress_symbol="ˈ")


_whitespace_re = re.compile(r"\s+")
def collapse_whitespace(text):
    return re.sub(_whitespace_re, " ", text)


def ukr_cleaners(text):
    text = collapse_whitespace(text)
    text = norm(text).lower()

    text = regex.sub(r'[^\ˈ\p{L}\p{N}\?\!\,\.\-\: ]', '', text)
    return ipa(stressify(text), False)