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import regex as re
from logger import logger
from utils.data_utils import check_is_none
from utils.classify_language import classify_language
def markup_language_type(text: str, target_languages: list = None) -> str:
pattern = r'[\!\"\#\$\%\&\'\(\)\*\+\,\-\.\/\:\;\<\>\=\?\@\[\]\{\}\\\\\^\_\`' \
r'\！？｡＂＃＄％＆＇（）＊＋，－／：；＜＝＞＠［＼］＾＿｀｛｜｝～｟｠｢｣､、〃》「」' \
r'『』【】〔〕〖〗〘〙〚〛〜〝〞〟〰〾〿–—‘\'\‛\“\”\„\‟…‧﹏.]+'
sentences = re.split(pattern, text)
pre_lang = ""
p = 0
for sentence in sentences:
if check_is_none(sentence): continue
lang = classify_language(sentence, target_languages)
if pre_lang == "":
text = text[:p] + text[p:].replace(sentence, f"[{lang.upper()}]{sentence}", 1)
p += len(f"[{lang.upper()}]")
elif pre_lang != lang:
text = text[:p] + text[p:].replace(sentence, f"[{pre_lang.upper()}][{lang.upper()}]{sentence}", 1)
p += len(f"[{pre_lang.upper()}][{lang.upper()}]")
pre_lang = lang
p += text[p:].index(sentence) + len(sentence)
text += f"[{pre_lang.upper()}]"
return text
def cut(text: str, max: int) -> list:
pattern = r'[!(),—+\-.:;?？。，、；：]+'
sentences = re.split(pattern, text)
discarded_chars = re.findall(pattern, text)
sentence_list, count, p = [], 0, 0
# 按被分割的符号遍历
for i, discarded_chars in enumerate(discarded_chars):
count += len(sentences[i]) + len(discarded_chars)
if count >= max:
sentence_list.append(text[p:p + count].strip())
p += count
count = 0
# 加入最后剩余的文本
if p < len(text):
sentence_list.append(text[p:])
return sentence_list
def sentence_split_and_markup(text, max=50, lang="auto", speaker_lang=None):
# 如果该speaker只支持一种语言
if speaker_lang is not None and len(speaker_lang) == 1:
if lang.upper() not in ["AUTO", "MIX"] and lang.lower() != speaker_lang[0]:
logger.debug(
f"lang \"{lang}\" is not in speaker_lang {speaker_lang},automatically set lang={speaker_lang[0]}")
lang = speaker_lang[0]
sentence_list = []
if lang.upper() != "MIX":
if max <= 0:
sentence_list.append(
markup_language_type(text,
speaker_lang) if lang.upper() == "AUTO" else f"[{lang.upper()}]{text}[{lang.upper()}]")
else:
for i in cut(text, max):
if check_is_none(i): continue
sentence_list.append(
markup_language_type(i,
speaker_lang) if lang.upper() == "AUTO" else f"[{lang.upper()}]{i}[{lang.upper()}]")
else:
sentence_list.append(text)
for i in sentence_list:
logger.debug(i)
return sentence_list
if __name__ == '__main__':
text = "这几天心里颇不宁静。今晚在院子里坐着乘凉，忽然想起日日走过的荷塘，在这满月的光里，总该另有一番样子吧。月亮渐渐地升高了，墙外马路上孩子们的欢笑，已经听不见了；妻在屋里拍着闰儿，迷迷糊糊地哼着眠歌。我悄悄地披了大衫，带上门出去。"
print(markup_language_type(text, languages=None))
print(cut(text, max=50))
print(sentence_split_and_markup(text, max=50, lang="auto", speaker_lang=None))
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