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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)) | |