服装行业网站建设方案,织梦怎么查看网站点击,做一个谷歌网站多少钱,泸州网站seo返回的是文档解析分段内容组成的列表#xff0c;分段内容默认chunk_size: int 250, chunk_overlap: int 50#xff0c;250字分段#xff0c;50分段处保留后面一段的前50字拼接即窗口包含下下一段前面50个字划分
from typing import Union, Listimport jieba
import recla…返回的是文档解析分段内容组成的列表分段内容默认chunk_size: int 250, chunk_overlap: int 50250字分段50分段处保留后面一段的前50字拼接即窗口包含下下一段前面50个字划分
from typing import Union, Listimport jieba
import reclass SentenceSplitter:def __init__(self, chunk_size: int 250, chunk_overlap: int 50):self.chunk_size chunk_sizeself.chunk_overlap chunk_overlapdef split_text(self, text: str) - List[str]:if self._is_has_chinese(text):return self._split_chinese_text(text)else:return self._split_english_text(text)def _split_chinese_text(self, text: str) - List[str]:sentence_endings {\n, 。, , , , …} # 句末标点符号chunks, current_chunk [], for word in jieba.cut(text):if len(current_chunk) len(word) self.chunk_size:chunks.append(current_chunk.strip())current_chunk wordelse:current_chunk wordif word[-1] in sentence_endings and len(current_chunk) self.chunk_size - self.chunk_overlap:chunks.append(current_chunk.strip())current_chunk if current_chunk:chunks.append(current_chunk.strip())if self.chunk_overlap 0 and len(chunks) 1:chunks self._handle_overlap(chunks)return chunksdef _split_english_text(self, text: str) - List[str]:# 使用正则表达式按句子分割英文文本sentences re.split(r(?[.!?])\s, text.replace(\n, ))chunks, current_chunk [], for sentence in sentences:if len(current_chunk) len(sentence) self.chunk_size or not current_chunk:current_chunk ( if current_chunk else ) sentenceelse:chunks.append(current_chunk)current_chunk sentenceif current_chunk: # Add the last chunkchunks.append(current_chunk)if self.chunk_overlap 0 and len(chunks) 1:chunks self._handle_overlap(chunks)return chunksdef _is_has_chinese(self, text: str) - bool:# check if contains chinese charactersif any(\u4e00 ch \u9fff for ch in text):return Trueelse:return Falsedef _handle_overlap(self, chunks: List[str]) - List[str]:# 处理块间重叠overlapped_chunks []for i in range(len(chunks) - 1):chunk chunks[i] chunks[i 1][:self.chunk_overlap]overlapped_chunks.append(chunk.strip())overlapped_chunks.append(chunks[-1])return overlapped_chunkstext_splitter SentenceSplitter()def load_file(filepath):print(filepath:,filepath)if filepath.endswith(.md):contents extract_text_from_markdown(filepath)elif filepath.endswith(.pdf):contents extract_text_from_pdf(filepath)elif filepath.endswith(.docx):contents extract_text_from_docx(filepath)else:contents extract_text_from_txt(filepath)return contentsdef extract_text_from_pdf(file_path: str):Extract text content from a PDF file.import PyPDF2contents []with open(file_path, rb) as f:pdf_reader PyPDF2.PdfReader(f)for page in pdf_reader.pages:page_text page.extract_text().strip()raw_text [text.strip() for text in page_text.splitlines() if text.strip()]new_text for text in raw_text:new_text textif text[-1] in [., !, ?, 。, , , …, ;, , :, , ”, ’, , 】, 》, 」,』, 〕, 〉, 》, 〗, 〞, 〟, », , , ), ], }]:contents.append(new_text)new_text if new_text:contents.append(new_text)return contentsdef extract_text_from_txt(file_path: str):Extract text content from a TXT file.with open(file_path, r, encodingutf-8) as f:contents [text.strip() for text in f.readlines() if text.strip()]return contentsdef extract_text_from_docx(file_path: str):Extract text content from a DOCX file.import docxdocument docx.Document(file_path)contents [paragraph.text.strip() for paragraph in document.paragraphs if paragraph.text.strip()]return contentsdef extract_text_from_markdown(file_path: str):Extract text content from a Markdown file.import markdownfrom bs4 import BeautifulSoupwith open(file_path, r, encodingutf-8) as f:markdown_text f.read()html markdown.markdown(markdown_text)soup BeautifulSoup(html, html.parser)contents [text.strip() for text in soup.get_text().splitlines() if text.strip()]return contentstexts load_file(rC:\Users\lo***山市城市建筑外立面管理条例.docx)
print(texts)
