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import re
import zhon
from modules.models import get_tokenizer
from modules.utils.detect_lang import guess_lang
# 解析文本 并根据停止符号分割成句子
# 可以设置最大阈值，即如果分割片段小于这个阈值会与下一段合并
class SentenceSplitter:
SEP_TOKEN = " "
def __init__(self, threshold=100):
assert (
isinstance(threshold, int) and threshold > 0
), "Threshold must be greater than 0."
self.sentence_threshold = threshold
self.tokenizer = get_tokenizer()
def count_tokens(self, text: str):
return len(self.tokenizer.tokenize(text))
def parse(self, text: str):
sentences = self.split_paragraph(text)
sentences = self.merge_text_by_threshold(sentences)
return sentences
def merge_text_by_threshold(self, setences: list[str]):
"""
Merge text by threshold.
If the length of the text is less than the threshold, merge it with the next text.
"""
merged_sentences: list[str] = []
temp_sentence = ""
for sentence in setences:
if len(temp_sentence) + len(sentence) < self.sentence_threshold:
temp_sentence += SentenceSplitter.SEP_TOKEN + sentence
else:
merged_sentences.append(temp_sentence)
temp_sentence = sentence
if temp_sentence:
merged_sentences.append(temp_sentence)
return merged_sentences
def split_paragraph(self, text: str):
"""
Split text into sentences.
"""
lines = text.split("\n")
sentences: list[str] = []
for line in lines:
if self.is_eng_sentence(line):
sentences.extend(self.split_en_sentence(line))
else:
sentences.extend(self.split_zhon_sentence(line))
return sentences
def is_eng_sentence(self, text: str):
return guess_lang(text) == "en"
def split_en_sentence(self, text: str):
"""
Split English text into sentences.
"""
pattern = re.compile(r"(?<!\w\.\w.)(?<![A-Z][a-z]\.)(?<=\.|\?|\!)\s")
sentences = pattern.split(text)
sentences = [sentence.strip() for sentence in sentences if sentence.strip()]
return sentences
def split_zhon_sentence(self, text: str):
"""
Split Chinese text into sentences.
"""
sentences: list[str] = []
pattern = re.compile(zhon.hanzi.sentence)
start = 0
for match in pattern.finditer(text):
end = match.end()
sentences.append(text[start:end])
start = end
if start < len(text):
sentences.append(text[start:])
sentences = [t for t in sentences if t.strip()]
return sentences
if __name__ == "__main__":
max_threshold = 100
parser = SentenceSplitter(max_threshold)
text = """
中华美食，作为世界饮食文化的瑰宝，以其丰富的种类、独特的风味和精湛的烹饪技艺而闻名于世。中国地大物博，各地区的饮食习惯和烹饪方法各具特色，形成了独树一帜的美食体系。从北方的京鲁菜、东北菜，到南方的粤菜、闽菜，无不展现出中华美食的多样性。
在中华美食的世界里，五味调和，色香味俱全。无论是辣味浓郁的川菜，还是清淡鲜美的淮扬菜，都能够满足不同人的口味需求。除了味道上的独特，中华美食还注重色彩的搭配和形态的美感，让每一道菜品不仅是味觉的享受，更是一场视觉的盛宴。
中华美食不仅仅是食物，更是一种文化的传承。每一道菜背后都有着深厚的历史背景和文化故事。比如，北京的烤鸭，代表着皇家气派；而西安的羊肉泡馍，则体现了浓郁的地方风情。中华美食的精髓在于它追求的“天人合一”，讲究食材的自然性和烹饪过程中的和谐。
总之，中华美食博大精深，其丰富的口感和多样的烹饪技艺，构成了一个充满魅力和无限可能的美食世界。无论你来自哪里，都会被这独特的美食文化所吸引和感动。
"""
result = parser.parse(text)
for idx, sentence in enumerate(result):
print(f"Sentence {idx + 1}: {sentence}")
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