镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-08 23:46:48 +00:00
up
这个提交包含在:
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import logging
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import requests
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import tarfile
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from pathlib import Path
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from typing import Optional, Dict
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class ArxivDownloader:
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"""用于下载arXiv论文源码的下载器"""
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def __init__(self, root_dir: str = "./papers", proxies: Optional[Dict[str, str]] = None):
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"""
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初始化下载器
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Args:
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root_dir: 保存下载文件的根目录
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proxies: 代理服务器设置,例如 {"http": "http://proxy:port", "https": "https://proxy:port"}
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"""
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self.root_dir = Path(root_dir)
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self.root_dir.mkdir(exist_ok=True)
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self.proxies = proxies
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# 配置日志
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(levelname)s - %(message)s'
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)
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def _download_and_extract(self, arxiv_id: str) -> str:
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"""
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下载并解压arxiv论文源码
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Args:
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arxiv_id: arXiv论文ID,例如"2103.00020"
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Returns:
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str: 解压后的文件目录路径
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Raises:
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RuntimeError: 当下载失败时抛出
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"""
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paper_dir = self.root_dir / arxiv_id
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tar_path = paper_dir / f"{arxiv_id}.tar.gz"
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# 检查缓存
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if paper_dir.exists() and any(paper_dir.iterdir()):
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logging.info(f"Using cached version for {arxiv_id}")
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return str(paper_dir)
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paper_dir.mkdir(exist_ok=True)
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urls = [
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f"https://arxiv.org/src/{arxiv_id}",
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f"https://arxiv.org/e-print/{arxiv_id}"
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]
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for url in urls:
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try:
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logging.info(f"Downloading from {url}")
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response = requests.get(url, proxies=self.proxies)
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if response.status_code == 200:
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tar_path.write_bytes(response.content)
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with tarfile.open(tar_path, 'r:gz') as tar:
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tar.extractall(path=paper_dir)
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return str(paper_dir)
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except Exception as e:
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logging.warning(f"Download failed for {url}: {e}")
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continue
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raise RuntimeError(f"Failed to download paper {arxiv_id}")
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def download_paper(self, arxiv_id: str) -> str:
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"""
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下载指定的arXiv论文
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Args:
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arxiv_id: arXiv论文ID
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Returns:
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str: 论文文件所在的目录路径
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"""
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return self._download_and_extract(arxiv_id)
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def main():
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"""测试下载功能"""
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# 配置代理(如果需要)
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proxies = {
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"http": "http://your-proxy:port",
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"https": "https://your-proxy:port"
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}
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# 创建下载器实例(如果不需要代理,可以不传入proxies参数)
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downloader = ArxivDownloader(root_dir="./downloaded_papers", proxies=None)
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# 测试下载一篇论文(这里使用一个示例ID)
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try:
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paper_id = "2103.00020" # 这是一个示例ID
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paper_dir = downloader.download_paper(paper_id)
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print(f"Successfully downloaded paper to: {paper_dir}")
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# 检查下载的文件
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paper_path = Path(paper_dir)
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if paper_path.exists():
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print("Downloaded files:")
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for file in paper_path.rglob("*"):
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if file.is_file():
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print(f"- {file.relative_to(paper_path)}")
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except Exception as e:
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print(f"Error downloading paper: {e}")
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if __name__ == "__main__":
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main()
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from dataclasses import dataclass
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@dataclass
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class ArxivFragment:
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"""Arxiv论文片段数据类"""
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file_path: str # 文件路径
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content: str # 内容
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segment_index: int # 片段索引
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total_segments: int # 总片段数
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rel_path: str # 相对路径
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segment_type: str # 片段类型(text/math/table/figure等)
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title: str # 论文标题
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abstract: str # 论文摘要
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section: str # 所属章节
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is_appendix: bool # 是否是附录
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importance: float = 1.0 # 重要性得分
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@staticmethod
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def merge_segments(seg1: 'ArxivFragment', seg2: 'ArxivFragment') -> 'ArxivFragment':
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"""
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合并两个片段的静态方法
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Args:
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seg1: 第一个片段
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seg2: 第二个片段
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Returns:
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ArxivFragment: 合并后的片段
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"""
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# 合并内容
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merged_content = f"{seg1.content}\n{seg2.content}"
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# 确定合并后的类型
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def _merge_segment_type(type1: str, type2: str) -> str:
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if type1 == type2:
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return type1
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if type1 == 'text':
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return type2
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if type2 == 'text':
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return type1
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return 'mixed'
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return ArxivFragment(
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file_path=seg1.file_path,
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content=merged_content,
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segment_index=seg1.segment_index,
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total_segments=seg1.total_segments - 1,
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rel_path=seg1.rel_path,
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segment_type=_merge_segment_type(seg1.segment_type, seg2.segment_type),
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title=seg1.title,
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abstract=seg1.abstract,
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section=seg1.section,
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is_appendix=seg1.is_appendix,
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importance=max(seg1.importance, seg2.importance)
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)
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import os
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import re
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import time
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import aiohttp
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import asyncio
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import requests
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import tarfile
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import logging
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from pathlib import Path
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from typing import Generator, List, Tuple, Optional, Dict, Set
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from crazy_functions.rag_fns.arxiv_fns.tex_processor import TexProcessor
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from crazy_functions.rag_fns.arxiv_fns.arxiv_fragment import ArxivFragment
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def save_fragments_to_file(fragments, output_dir: str = "fragment_outputs"):
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"""
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将所有fragments保存为单个结构化markdown文件
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Args:
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fragments: fragment列表
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output_dir: 输出目录
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"""
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from datetime import datetime
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from pathlib import Path
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import re
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# 创建输出目录
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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output_path = Path(output_dir)
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output_path.mkdir(parents=True, exist_ok=True)
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# 生成文件名
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filename = f"fragments_{timestamp}.md"
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file_path = output_path / filename
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current_section = ""
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section_count = {} # 用于跟踪每个章节的片段数量
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with open(file_path, "w", encoding="utf-8") as f:
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# 写入文档头部
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f.write("# Document Fragments Analysis\n\n")
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f.write("## Overview\n")
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f.write(f"- Total Fragments: {len(fragments)}\n")
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f.write(f"- Generated Time: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n")
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# 如果有标题和摘要,添加到开头
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if fragments and (fragments[0].title or fragments[0].abstract):
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f.write("\n## Paper Information\n")
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if fragments[0].title:
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f.write(f"### Title\n{fragments[0].title}\n")
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if fragments[0].abstract:
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f.write(f"\n### Abstract\n{fragments[0].abstract}\n")
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# 生成目录
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f.write("\n## Table of Contents\n")
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# 首先收集所有章节信息
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sections = {}
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for fragment in fragments:
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section = fragment.section or "Uncategorized"
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if section not in sections:
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sections[section] = []
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sections[section].append(fragment)
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# 写入目录
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for section, section_fragments in sections.items():
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clean_section = section.strip()
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if not clean_section:
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clean_section = "Uncategorized"
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f.write(
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f"- [{clean_section}](#{clean_section.lower().replace(' ', '-')}) ({len(section_fragments)} fragments)\n")
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# 写入正文内容
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f.write("\n## Content\n")
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# 按章节组织内容
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for section, section_fragments in sections.items():
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clean_section = section.strip() or "Uncategorized"
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f.write(f"\n### {clean_section}\n")
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# 写入每个fragment
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for i, fragment in enumerate(section_fragments, 1):
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f.write(f"\n#### Fragment {i} ({fragment.segment_type})\n")
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# 元数据
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f.write("**Metadata:**\n")
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f.write(f"- Type: {fragment.segment_type}\n")
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f.write(f"- Length: {len(fragment.content)} chars\n")
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f.write(f"- Importance: {fragment.importance:.2f}\n")
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f.write(f"- Is Appendix: {fragment.is_appendix}\n")
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f.write(f"- File: {fragment.rel_path}\n")
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# 内容
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f.write("\n**Content:**\n")
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f.write("```tex\n")
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f.write(fragment.content)
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f.write("\n```\n")
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# 添加分隔线
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if i < len(section_fragments):
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f.write("\n---\n")
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# 添加统计信息
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f.write("\n## Statistics\n")
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f.write("\n### Fragment Type Distribution\n")
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type_stats = {}
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for fragment in fragments:
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type_stats[fragment.segment_type] = type_stats.get(fragment.segment_type, 0) + 1
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for ftype, count in type_stats.items():
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percentage = (count / len(fragments)) * 100
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f.write(f"- {ftype}: {count} ({percentage:.1f}%)\n")
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# 长度分布
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f.write("\n### Length Distribution\n")
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lengths = [len(f.content) for f in fragments]
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f.write(f"- Minimum: {min(lengths)} chars\n")
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f.write(f"- Maximum: {max(lengths)} chars\n")
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f.write(f"- Average: {sum(lengths) / len(lengths):.1f} chars\n")
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print(f"Fragments saved to: {file_path}")
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return file_path
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class ArxivSplitter:
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"""Arxiv论文智能分割器"""
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def __init__(self,
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char_range: Tuple[int, int],
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root_dir: str = "gpt_log/arxiv_cache",
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proxies: Optional[Dict[str, str]] = None,
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cache_ttl: int = 7 * 24 * 60 * 60):
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"""
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初始化分割器
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Args:
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char_range: 字符数范围(最小值, 最大值)
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root_dir: 缓存根目录
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proxies: 代理设置
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cache_ttl: 缓存过期时间(秒)
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"""
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self.min_chars, self.max_chars = char_range
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self.root_dir = Path(root_dir)
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self.root_dir.mkdir(parents=True, exist_ok=True)
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self.proxies = proxies or {}
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self.cache_ttl = cache_ttl
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# 动态计算最优线程数
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import multiprocessing
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cpu_count = multiprocessing.cpu_count()
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# 根据CPU核心数动态设置,但设置上限防止过度并发
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self.max_workers = min(32, cpu_count * 2)
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# 初始化TeX处理器
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self.tex_processor = TexProcessor(char_range)
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# 配置日志
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self._setup_logging()
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def _setup_logging(self):
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"""配置日志"""
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(levelname)s - %(message)s'
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)
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self.logger = logging.getLogger(__name__)
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def _normalize_arxiv_id(self, input_str: str) -> str:
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"""规范化ArXiv ID"""
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if 'arxiv.org/' in input_str.lower():
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# 处理URL格式
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if '/pdf/' in input_str:
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arxiv_id = input_str.split('/pdf/')[-1]
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else:
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arxiv_id = input_str.split('/abs/')[-1]
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# 移除版本号和其他后缀
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return arxiv_id.split('v')[0].strip()
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return input_str.split('v')[0].strip()
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def _check_cache(self, paper_dir: Path) -> bool:
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"""
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检查缓存是否有效,包括文件完整性检查
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Args:
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paper_dir: 论文目录路径
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Returns:
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bool: 如果缓存有效返回True,否则返回False
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"""
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if not paper_dir.exists():
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return False
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# 检查目录中是否存在必要文件
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has_tex_files = False
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has_main_tex = False
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for file_path in paper_dir.rglob("*"):
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if file_path.suffix == '.tex':
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has_tex_files = True
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content = self.tex_processor.read_file(str(file_path))
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if content and r'\documentclass' in content:
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has_main_tex = True
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break
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if not (has_tex_files and has_main_tex):
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return False
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# 检查缓存时间
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cache_time = paper_dir.stat().st_mtime
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if (time.time() - cache_time) < self.cache_ttl:
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self.logger.info(f"Using valid cache for {paper_dir.name}")
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return True
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return False
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async def download_paper(self, arxiv_id: str, paper_dir: Path) -> bool:
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"""
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异步下载论文,包含重试机制和临时文件处理
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Args:
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arxiv_id: ArXiv论文ID
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paper_dir: 目标目录路径
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Returns:
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bool: 下载成功返回True,否则返回False
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"""
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from crazy_functions.rag_fns.arxiv_fns.arxiv_downloader import ArxivDownloader
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temp_tar_path = paper_dir / f"{arxiv_id}_temp.tar.gz"
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final_tar_path = paper_dir / f"{arxiv_id}.tar.gz"
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# 确保目录存在
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paper_dir.mkdir(parents=True, exist_ok=True)
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# 尝试使用 ArxivDownloader 下载
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try:
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downloader = ArxivDownloader(root_dir=str(paper_dir), proxies=self.proxies)
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downloaded_dir = downloader.download_paper(arxiv_id)
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if downloaded_dir:
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self.logger.info(f"Successfully downloaded using ArxivDownloader to {downloaded_dir}")
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return True
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except Exception as e:
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self.logger.warning(f"ArxivDownloader failed: {str(e)}. Falling back to direct download.")
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# 如果 ArxivDownloader 失败,使用原有的下载方式作为备选
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urls = [
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f"https://arxiv.org/src/{arxiv_id}",
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f"https://arxiv.org/e-print/{arxiv_id}"
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]
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max_retries = 3
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retry_delay = 1 # 初始重试延迟(秒)
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for url in urls:
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for attempt in range(max_retries):
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try:
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self.logger.info(f"Downloading from {url} (attempt {attempt + 1}/{max_retries})")
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async with aiohttp.ClientSession() as session:
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async with session.get(url, proxy=self.proxies.get('http')) as response:
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if response.status == 200:
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content = await response.read()
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# 写入临时文件
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temp_tar_path.write_bytes(content)
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try:
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# 验证tar文件完整性并解压
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loop = asyncio.get_event_loop()
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await loop.run_in_executor(None, self._process_tar_file, temp_tar_path, paper_dir)
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# 下载成功后移动临时文件到最终位置
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temp_tar_path.rename(final_tar_path)
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return True
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except Exception as e:
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self.logger.warning(f"Invalid tar file: {str(e)}")
|
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if temp_tar_path.exists():
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temp_tar_path.unlink()
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except Exception as e:
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self.logger.warning(f"Download attempt {attempt + 1} failed from {url}: {str(e)}")
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await asyncio.sleep(retry_delay * (attempt + 1)) # 指数退避
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continue
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return False
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||||
|
||||
def _process_tar_file(self, tar_path: Path, extract_path: Path):
|
||||
"""处理tar文件的同步操作"""
|
||||
with tarfile.open(tar_path, 'r:gz') as tar:
|
||||
tar.testall() # 验证文件完整性
|
||||
tar.extractall(path=extract_path) # 解压文件
|
||||
|
||||
def _process_single_tex(self, file_path: str) -> List[ArxivFragment]:
|
||||
"""处理单个TeX文件"""
|
||||
try:
|
||||
content = self.tex_processor.read_file(file_path)
|
||||
if not content:
|
||||
return []
|
||||
|
||||
# 提取元数据
|
||||
is_main = r'\documentclass' in content
|
||||
title, abstract = "", ""
|
||||
if is_main:
|
||||
title, abstract = self.tex_processor.extract_metadata(content)
|
||||
|
||||
# 分割内容
|
||||
segments = self.tex_processor.split_content(content)
|
||||
fragments = []
|
||||
|
||||
for i, (segment_content, section, is_appendix) in enumerate(segments):
|
||||
if not segment_content.strip():
|
||||
continue
|
||||
|
||||
segment_type = self.tex_processor.detect_segment_type(segment_content)
|
||||
importance = self.tex_processor.calculate_importance(
|
||||
segment_content, segment_type, is_main
|
||||
)
|
||||
fragments.append(ArxivFragment(
|
||||
file_path=file_path,
|
||||
content=segment_content,
|
||||
segment_index=i,
|
||||
total_segments=len(segments),
|
||||
rel_path=str(Path(file_path).relative_to(self.root_dir)),
|
||||
segment_type=segment_type,
|
||||
title=title,
|
||||
abstract=abstract,
|
||||
section=section,
|
||||
is_appendix=is_appendix,
|
||||
importance=importance
|
||||
))
|
||||
|
||||
return fragments
|
||||
|
||||
except Exception as e:
|
||||
self.logger.error(f"Error processing {file_path}: {str(e)}")
|
||||
return []
|
||||
|
||||
async def process(self, arxiv_id_or_url: str) -> List[ArxivFragment]:
|
||||
"""处理ArXiv论文"""
|
||||
try:
|
||||
arxiv_id = self._normalize_arxiv_id(arxiv_id_or_url)
|
||||
paper_dir = self.root_dir / arxiv_id
|
||||
|
||||
# 检查缓存
|
||||
if not self._check_cache(paper_dir):
|
||||
paper_dir.mkdir(exist_ok=True)
|
||||
if not await self.download_paper(arxiv_id, paper_dir):
|
||||
raise RuntimeError(f"Failed to download paper {arxiv_id}")
|
||||
|
||||
# 查找主TeX文件
|
||||
main_tex = self.tex_processor.find_main_tex_file(str(paper_dir))
|
||||
if not main_tex:
|
||||
raise RuntimeError(f"No main TeX file found in {paper_dir}")
|
||||
|
||||
# 获取所有相关TeX文件
|
||||
tex_files = self.tex_processor.resolve_includes(main_tex)
|
||||
if not tex_files:
|
||||
raise RuntimeError(f"No valid TeX files found for {arxiv_id}")
|
||||
|
||||
# 并行处理所有TeX文件
|
||||
fragments = []
|
||||
chunk_size = max(1, len(tex_files) // self.max_workers) # 计算每个线程处理的文件数
|
||||
loop = asyncio.get_event_loop()
|
||||
|
||||
async def process_chunk(chunk_files):
|
||||
chunk_fragments = []
|
||||
for file_path in chunk_files:
|
||||
try:
|
||||
result = await loop.run_in_executor(None, self._process_single_tex, file_path)
|
||||
chunk_fragments.extend(result)
|
||||
except Exception as e:
|
||||
self.logger.error(f"Error processing {file_path}: {str(e)}")
|
||||
return chunk_fragments
|
||||
|
||||
# 将文件分成多个块
|
||||
file_chunks = [tex_files[i:i + chunk_size] for i in range(0, len(tex_files), chunk_size)]
|
||||
# 异步处理每个块
|
||||
chunk_results = await asyncio.gather(*[process_chunk(chunk) for chunk in file_chunks])
|
||||
for result in chunk_results:
|
||||
fragments.extend(result)
|
||||
# 重新计算片段索引并排序
|
||||
fragments.sort(key=lambda x: (x.rel_path, x.segment_index))
|
||||
total_fragments = len(fragments)
|
||||
|
||||
for i, fragment in enumerate(fragments):
|
||||
fragment.segment_index = i
|
||||
fragment.total_segments = total_fragments
|
||||
# 在返回之前添加过滤
|
||||
fragments = self.tex_processor.filter_fragments(fragments)
|
||||
return fragments
|
||||
|
||||
except Exception as e:
|
||||
self.logger.error(f"Failed to process {arxiv_id_or_url}: {str(e)}")
|
||||
raise
|
||||
|
||||
|
||||
async def test_arxiv_splitter():
|
||||
"""测试ArXiv分割器的功能"""
|
||||
|
||||
# 测试配置
|
||||
test_cases = [
|
||||
{
|
||||
"arxiv_id": "2411.03663",
|
||||
"expected_title": "Large Language Models and Simple Scripts",
|
||||
"min_fragments": 10,
|
||||
},
|
||||
# {
|
||||
# "arxiv_id": "1805.10988",
|
||||
# "expected_title": "RAG vs Fine-tuning",
|
||||
# "min_fragments": 15,
|
||||
# }
|
||||
]
|
||||
|
||||
# 创建分割器实例
|
||||
splitter = ArxivSplitter(
|
||||
char_range=(800, 1800),
|
||||
root_dir="test_cache"
|
||||
)
|
||||
|
||||
|
||||
for case in test_cases:
|
||||
print(f"\nTesting paper: {case['arxiv_id']}")
|
||||
try:
|
||||
fragments = await splitter.process(case['arxiv_id'])
|
||||
|
||||
# 保存fragments
|
||||
output_dir = save_fragments_to_file(fragments,output_dir="crazy_functions/rag_fns/arxiv_fns/gpt_log")
|
||||
print(f"Output saved to: {output_dir}")
|
||||
# 内容检查
|
||||
for fragment in fragments:
|
||||
# 长度检查
|
||||
|
||||
print((fragment.content))
|
||||
print(len(fragment.content))
|
||||
# 类型检查
|
||||
|
||||
|
||||
except Exception as e:
|
||||
print(f"✗ Test failed for {case['arxiv_id']}: {str(e)}")
|
||||
raise
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(test_arxiv_splitter())
|
||||
@@ -0,0 +1,395 @@
|
||||
from dataclasses import dataclass, field
|
||||
|
||||
@dataclass
|
||||
class LaTeXPatterns:
|
||||
"""LaTeX模式存储类,用于集中管理所有LaTeX相关的正则表达式模式"""
|
||||
special_envs = {
|
||||
'math': [
|
||||
# 基础数学环境
|
||||
r'\\begin{(equation|align|gather|eqnarray|multline|flalign|alignat)\*?}.*?\\end{\1\*?}',
|
||||
r'\$\$.*?\$\$',
|
||||
r'\$[^$]+\$',
|
||||
# 矩阵环境
|
||||
r'\\begin{(matrix|pmatrix|bmatrix|Bmatrix|vmatrix|Vmatrix|smallmatrix)\*?}.*?\\end{\1\*?}',
|
||||
# 数组环境
|
||||
r'\\begin{(array|cases|aligned|gathered|split)\*?}.*?\\end{\1\*?}',
|
||||
# 其他数学环境
|
||||
r'\\begin{(subequations|math|displaymath)\*?}.*?\\end{\1\*?}'
|
||||
],
|
||||
|
||||
'table': [
|
||||
# 基础表格环境
|
||||
r'\\begin{(table|tabular|tabularx|tabulary|longtable)\*?}.*?\\end{\1\*?}',
|
||||
# 复杂表格环境
|
||||
r'\\begin{(tabu|supertabular|xtabular|mpsupertabular)\*?}.*?\\end{\1\*?}',
|
||||
# 自定义表格环境
|
||||
r'\\begin{(threeparttable|tablefootnote)\*?}.*?\\end{\1\*?}',
|
||||
# 表格注释环境
|
||||
r'\\begin{(tablenotes)\*?}.*?\\end{\1\*?}'
|
||||
],
|
||||
|
||||
'figure': [
|
||||
# 图片环境
|
||||
r'\\begin{figure\*?}.*?\\end{figure\*?}',
|
||||
r'\\begin{(subfigure|wrapfigure)\*?}.*?\\end{\1\*?}',
|
||||
# 图片插入命令
|
||||
r'\\includegraphics(\[.*?\])?\{.*?\}',
|
||||
# tikz 图形环境
|
||||
r'\\begin{(tikzpicture|pgfpicture)\*?}.*?\\end{\1\*?}',
|
||||
# 其他图形环境
|
||||
r'\\begin{(picture|pspicture)\*?}.*?\\end{\1\*?}'
|
||||
],
|
||||
|
||||
'algorithm': [
|
||||
# 算法环境
|
||||
r'\\begin{(algorithm|algorithmic|algorithm2e|algorithmicx)\*?}.*?\\end{\1\*?}',
|
||||
r'\\begin{(lstlisting|verbatim|minted|listing)\*?}.*?\\end{\1\*?}',
|
||||
# 代码块环境
|
||||
r'\\begin{(code|verbatimtab|verbatimwrite)\*?}.*?\\end{\1\*?}',
|
||||
# 伪代码环境
|
||||
r'\\begin{(pseudocode|procedure)\*?}.*?\\end{\1\*?}'
|
||||
],
|
||||
|
||||
'list': [
|
||||
# 列表环境
|
||||
r'\\begin{(itemize|enumerate|description)\*?}.*?\\end{\1\*?}',
|
||||
r'\\begin{(list|compactlist|bulletlist)\*?}.*?\\end{\1\*?}',
|
||||
# 自定义列表环境
|
||||
r'\\begin{(tasks|todolist)\*?}.*?\\end{\1\*?}'
|
||||
],
|
||||
|
||||
'theorem': [
|
||||
# 定理类环境
|
||||
r'\\begin{(theorem|lemma|proposition|corollary)\*?}.*?\\end{\1\*?}',
|
||||
r'\\begin{(definition|example|proof|remark)\*?}.*?\\end{\1\*?}',
|
||||
# 其他证明环境
|
||||
r'\\begin{(axiom|property|assumption|conjecture)\*?}.*?\\end{\1\*?}'
|
||||
],
|
||||
|
||||
'box': [
|
||||
# 文本框环境
|
||||
r'\\begin{(tcolorbox|mdframed|framed|shaded)\*?}.*?\\end{\1\*?}',
|
||||
r'\\begin{(boxedminipage|shadowbox)\*?}.*?\\end{\1\*?}',
|
||||
# 强调环境
|
||||
r'\\begin{(important|warning|info|note)\*?}.*?\\end{\1\*?}'
|
||||
],
|
||||
|
||||
'quote': [
|
||||
# 引用环境
|
||||
r'\\begin{(quote|quotation|verse|abstract)\*?}.*?\\end{\1\*?}',
|
||||
r'\\begin{(excerpt|epigraph)\*?}.*?\\end{\1\*?}'
|
||||
],
|
||||
|
||||
'bibliography': [
|
||||
# 参考文献环境
|
||||
r'\\begin{(thebibliography|bibliography)\*?}.*?\\end{\1\*?}',
|
||||
r'\\begin{(biblist|citelist)\*?}.*?\\end{\1\*?}'
|
||||
],
|
||||
|
||||
'index': [
|
||||
# 索引环境
|
||||
r'\\begin{(theindex|printindex)\*?}.*?\\end{\1\*?}',
|
||||
r'\\begin{(glossary|acronym)\*?}.*?\\end{\1\*?}'
|
||||
]
|
||||
}
|
||||
# 章节模式
|
||||
section_patterns = [
|
||||
# 基础章节命令
|
||||
r'\\chapter\{([^}]+)\}',
|
||||
r'\\section\{([^}]+)\}',
|
||||
r'\\subsection\{([^}]+)\}',
|
||||
r'\\subsubsection\{([^}]+)\}',
|
||||
r'\\paragraph\{([^}]+)\}',
|
||||
r'\\subparagraph\{([^}]+)\}',
|
||||
|
||||
# 带星号的变体(不编号)
|
||||
r'\\chapter\*\{([^}]+)\}',
|
||||
r'\\section\*\{([^}]+)\}',
|
||||
r'\\subsection\*\{([^}]+)\}',
|
||||
r'\\subsubsection\*\{([^}]+)\}',
|
||||
r'\\paragraph\*\{([^}]+)\}',
|
||||
r'\\subparagraph\*\{([^}]+)\}',
|
||||
|
||||
# 特殊章节
|
||||
r'\\part\{([^}]+)\}',
|
||||
r'\\part\*\{([^}]+)\}',
|
||||
r'\\appendix\{([^}]+)\}',
|
||||
|
||||
# 前言部分
|
||||
r'\\frontmatter\{([^}]+)\}',
|
||||
r'\\mainmatter\{([^}]+)\}',
|
||||
r'\\backmatter\{([^}]+)\}',
|
||||
|
||||
# 目录相关
|
||||
r'\\tableofcontents',
|
||||
r'\\listoffigures',
|
||||
r'\\listoftables',
|
||||
|
||||
# 自定义章节命令
|
||||
r'\\addchap\{([^}]+)\}', # KOMA-Script类
|
||||
r'\\addsec\{([^}]+)\}', # KOMA-Script类
|
||||
r'\\minisec\{([^}]+)\}', # KOMA-Script类
|
||||
|
||||
# 带可选参数的章节命令
|
||||
r'\\chapter\[([^]]+)\]\{([^}]+)\}',
|
||||
r'\\section\[([^]]+)\]\{([^}]+)\}',
|
||||
r'\\subsection\[([^]]+)\]\{([^}]+)\}'
|
||||
]
|
||||
|
||||
# 包含模式
|
||||
include_patterns = [
|
||||
r'\\(input|include|subfile)\{([^}]+)\}'
|
||||
]
|
||||
|
||||
metadata_patterns = {
|
||||
# 标题相关
|
||||
'title': [
|
||||
r'\\title\{([^}]+)\}',
|
||||
r'\\Title\{([^}]+)\}',
|
||||
r'\\doctitle\{([^}]+)\}',
|
||||
r'\\subtitle\{([^}]+)\}',
|
||||
r'\\chapter\*?\{([^}]+)\}', # 第一章可能作为标题
|
||||
r'\\maketitle\s*\\section\*?\{([^}]+)\}' # 第一节可能作为标题
|
||||
],
|
||||
|
||||
# 摘要相关
|
||||
'abstract': [
|
||||
r'\\begin{abstract}(.*?)\\end{abstract}',
|
||||
r'\\abstract\{([^}]+)\}',
|
||||
r'\\begin{摘要}(.*?)\\end{摘要}',
|
||||
r'\\begin{Summary}(.*?)\\end{Summary}',
|
||||
r'\\begin{synopsis}(.*?)\\end{synopsis}',
|
||||
r'\\begin{abstracten}(.*?)\\end{abstracten}' # 英文摘要
|
||||
],
|
||||
|
||||
# 作者信息
|
||||
'author': [
|
||||
r'\\author\{([^}]+)\}',
|
||||
r'\\Author\{([^}]+)\}',
|
||||
r'\\authorinfo\{([^}]+)\}',
|
||||
r'\\authors\{([^}]+)\}',
|
||||
r'\\author\[([^]]+)\]\{([^}]+)\}', # 带附加信息的作者
|
||||
r'\\begin{authors}(.*?)\\end{authors}'
|
||||
],
|
||||
|
||||
# 日期相关
|
||||
'date': [
|
||||
r'\\date\{([^}]+)\}',
|
||||
r'\\Date\{([^}]+)\}',
|
||||
r'\\submitdate\{([^}]+)\}',
|
||||
r'\\publishdate\{([^}]+)\}',
|
||||
r'\\revisiondate\{([^}]+)\}'
|
||||
],
|
||||
|
||||
# 关键词
|
||||
'keywords': [
|
||||
r'\\keywords\{([^}]+)\}',
|
||||
r'\\Keywords\{([^}]+)\}',
|
||||
r'\\begin{keywords}(.*?)\\end{keywords}',
|
||||
r'\\key\{([^}]+)\}',
|
||||
r'\\begin{关键词}(.*?)\\end{关键词}'
|
||||
],
|
||||
|
||||
# 机构/单位
|
||||
'institution': [
|
||||
r'\\institute\{([^}]+)\}',
|
||||
r'\\institution\{([^}]+)\}',
|
||||
r'\\affiliation\{([^}]+)\}',
|
||||
r'\\organization\{([^}]+)\}',
|
||||
r'\\department\{([^}]+)\}'
|
||||
],
|
||||
|
||||
# 学科/主题
|
||||
'subject': [
|
||||
r'\\subject\{([^}]+)\}',
|
||||
r'\\Subject\{([^}]+)\}',
|
||||
r'\\field\{([^}]+)\}',
|
||||
r'\\discipline\{([^}]+)\}'
|
||||
],
|
||||
|
||||
# 版本信息
|
||||
'version': [
|
||||
r'\\version\{([^}]+)\}',
|
||||
r'\\revision\{([^}]+)\}',
|
||||
r'\\release\{([^}]+)\}'
|
||||
],
|
||||
|
||||
# 许可证/版权
|
||||
'license': [
|
||||
r'\\license\{([^}]+)\}',
|
||||
r'\\copyright\{([^}]+)\}',
|
||||
r'\\begin{license}(.*?)\\end{license}'
|
||||
],
|
||||
|
||||
# 联系方式
|
||||
'contact': [
|
||||
r'\\email\{([^}]+)\}',
|
||||
r'\\phone\{([^}]+)\}',
|
||||
r'\\address\{([^}]+)\}',
|
||||
r'\\contact\{([^}]+)\}'
|
||||
],
|
||||
|
||||
# 致谢
|
||||
'acknowledgments': [
|
||||
r'\\begin{acknowledgments}(.*?)\\end{acknowledgments}',
|
||||
r'\\acknowledgments\{([^}]+)\}',
|
||||
r'\\thanks\{([^}]+)\}',
|
||||
r'\\begin{致谢}(.*?)\\end{致谢}'
|
||||
],
|
||||
|
||||
# 项目/基金
|
||||
'funding': [
|
||||
r'\\funding\{([^}]+)\}',
|
||||
r'\\grant\{([^}]+)\}',
|
||||
r'\\project\{([^}]+)\}',
|
||||
r'\\support\{([^}]+)\}'
|
||||
],
|
||||
|
||||
# 分类号/编号
|
||||
'classification': [
|
||||
r'\\classification\{([^}]+)\}',
|
||||
r'\\serialnumber\{([^}]+)\}',
|
||||
r'\\id\{([^}]+)\}',
|
||||
r'\\doi\{([^}]+)\}'
|
||||
],
|
||||
|
||||
# 语言
|
||||
'language': [
|
||||
r'\\documentlanguage\{([^}]+)\}',
|
||||
r'\\lang\{([^}]+)\}',
|
||||
r'\\language\{([^}]+)\}'
|
||||
]
|
||||
}
|
||||
latex_only_patterns = {
|
||||
# 文档类和包引入
|
||||
r'\\documentclass(\[.*?\])?\{.*?\}',
|
||||
r'\\usepackage(\[.*?\])?\{.*?\}',
|
||||
# 常见的文档设置命令
|
||||
r'\\setlength\{.*?\}\{.*?\}',
|
||||
r'\\newcommand\{.*?\}(\[.*?\])?\{.*?\}',
|
||||
r'\\renewcommand\{.*?\}(\[.*?\])?\{.*?\}',
|
||||
r'\\definecolor\{.*?\}\{.*?\}\{.*?\}',
|
||||
# 页面设置相关
|
||||
r'\\pagestyle\{.*?\}',
|
||||
r'\\thispagestyle\{.*?\}',
|
||||
# 其他常见的设置命令
|
||||
r'\\bibliographystyle\{.*?\}',
|
||||
r'\\bibliography\{.*?\}',
|
||||
r'\\setcounter\{.*?\}\{.*?\}',
|
||||
# 字体和文本设置命令
|
||||
r'\\makeFNbottom',
|
||||
r'\\@setfontsize\\[A-Z]+\{.*?\}\{.*?\}', # 匹配字体大小设置
|
||||
r'\\renewcommand\\[A-Z]+\{\\@setfontsize\\[A-Z]+\{.*?\}\{.*?\}\}',
|
||||
r'\\renewcommand\{?\\thefootnote\}?\{\\fnsymbol\{footnote\}\}',
|
||||
r'\\renewcommand\\footnoterule\{.*?\}',
|
||||
r'\\color\{.*?\}',
|
||||
|
||||
# 页面和节标题设置
|
||||
r'\\setcounter\{secnumdepth\}\{.*?\}',
|
||||
r'\\renewcommand\\@biblabel\[.*?\]\{.*?\}',
|
||||
r'\\renewcommand\\@makefntext\[.*?\](\{.*?\})*',
|
||||
r'\\renewcommand\{?\\figurename\}?\{.*?\}',
|
||||
|
||||
# 字体样式设置
|
||||
r'\\sectionfont\{.*?\}',
|
||||
r'\\subsectionfont\{.*?\}',
|
||||
r'\\subsubsectionfont\{.*?\}',
|
||||
|
||||
# 间距和布局设置
|
||||
r'\\setstretch\{.*?\}',
|
||||
r'\\setlength\{\\skip\\footins\}\{.*?\}',
|
||||
r'\\setlength\{\\footnotesep\}\{.*?\}',
|
||||
r'\\setlength\{\\jot\}\{.*?\}',
|
||||
r'\\hrule\s+width\s+.*?\s+height\s+.*?',
|
||||
|
||||
# makeatletter 和 makeatother
|
||||
r'\\makeatletter\s*',
|
||||
r'\\makeatother\s*',
|
||||
r'\\footnotetext\{[^}]*\$\^{[^}]*}\$[^}]*\}', # 带有上标的脚注
|
||||
# r'\\footnotetext\{[^}]*\}', # 普通脚注
|
||||
# r'\\footnotetext\{.*?(?:\$\^{.*?}\$)?.*?(?:email\s*:\s*[^}]*)?.*?\}', # 带有邮箱的脚注
|
||||
# r'\\footnotetext\{.*?(?:ESI|DOI).*?\}', # 带有 DOI 或 ESI 引用的脚注
|
||||
# 文档结构命令
|
||||
r'\\begin\{document\}',
|
||||
r'\\end\{document\}',
|
||||
r'\\maketitle',
|
||||
r'\\printbibliography',
|
||||
r'\\newpage',
|
||||
|
||||
# 输入文件命令
|
||||
r'\\input\{[^}]*\}',
|
||||
r'\\input\{.*?\.tex\}', # 特别匹配 .tex 后缀的输入
|
||||
|
||||
# 脚注相关
|
||||
# r'\\footnotetext\[\d+\]\{[^}]*\}', # 带编号的脚注
|
||||
|
||||
# 致谢环境
|
||||
r'\\begin\{ack\}',
|
||||
r'\\end\{ack\}',
|
||||
r'\\begin\{ack\}[^\n]*(?:\n.*?)*?\\end\{ack\}', # 匹配整个致谢环境及其内容
|
||||
|
||||
# 其他文档控制命令
|
||||
r'\\renewcommand\{\\thefootnote\}\{\\fnsymbol\{footnote\}\}',
|
||||
}
|
||||
math_envs = [
|
||||
# 基础数学环境
|
||||
(r'\\begin{equation\*?}.*?\\end{equation\*?}', 'equation'), # 单行公式
|
||||
(r'\\begin{align\*?}.*?\\end{align\*?}', 'align'), # 多行对齐公式
|
||||
(r'\\begin{gather\*?}.*?\\end{gather\*?}', 'gather'), # 多行居中公式
|
||||
(r'\$\$.*?\$\$', 'display'), # 行间公式
|
||||
(r'\$.*?\$', 'inline'), # 行内公式
|
||||
|
||||
# 矩阵环境
|
||||
(r'\\begin{matrix}.*?\\end{matrix}', 'matrix'), # 基础矩阵
|
||||
(r'\\begin{pmatrix}.*?\\end{pmatrix}', 'pmatrix'), # 圆括号矩阵
|
||||
(r'\\begin{bmatrix}.*?\\end{bmatrix}', 'bmatrix'), # 方括号矩阵
|
||||
(r'\\begin{vmatrix}.*?\\end{vmatrix}', 'vmatrix'), # 竖线矩阵
|
||||
(r'\\begin{Vmatrix}.*?\\end{Vmatrix}', 'Vmatrix'), # 双竖线矩阵
|
||||
(r'\\begin{smallmatrix}.*?\\end{smallmatrix}', 'smallmatrix'), # 小号矩阵
|
||||
|
||||
# 数组环境
|
||||
(r'\\begin{array}.*?\\end{array}', 'array'), # 数组
|
||||
(r'\\begin{cases}.*?\\end{cases}', 'cases'), # 分段函数
|
||||
|
||||
# 多行公式环境
|
||||
(r'\\begin{multline\*?}.*?\\end{multline\*?}', 'multline'), # 多行单个公式
|
||||
(r'\\begin{split}.*?\\end{split}', 'split'), # 拆分长公式
|
||||
(r'\\begin{alignat\*?}.*?\\end{alignat\*?}', 'alignat'), # 对齐环境带间距控制
|
||||
(r'\\begin{flalign\*?}.*?\\end{flalign\*?}', 'flalign'), # 完全左对齐
|
||||
|
||||
# 特殊数学环境
|
||||
(r'\\begin{subequations}.*?\\end{subequations}', 'subequations'), # 子公式编号
|
||||
(r'\\begin{gathered}.*?\\end{gathered}', 'gathered'), # 居中对齐组
|
||||
(r'\\begin{aligned}.*?\\end{aligned}', 'aligned'), # 内部对齐组
|
||||
|
||||
# 定理类环境
|
||||
(r'\\begin{theorem}.*?\\end{theorem}', 'theorem'), # 定理
|
||||
(r'\\begin{lemma}.*?\\end{lemma}', 'lemma'), # 引理
|
||||
(r'\\begin{proof}.*?\\end{proof}', 'proof'), # 证明
|
||||
|
||||
# 数学模式中的表格环境
|
||||
(r'\\begin{tabular}.*?\\end{tabular}', 'tabular'), # 表格
|
||||
(r'\\begin{array}.*?\\end{array}', 'array'), # 数组
|
||||
|
||||
# 其他专业数学环境
|
||||
(r'\\begin{CD}.*?\\end{CD}', 'CD'), # 交换图
|
||||
(r'\\begin{boxed}.*?\\end{boxed}', 'boxed'), # 带框公式
|
||||
(r'\\begin{empheq}.*?\\end{empheq}', 'empheq'), # 强调公式
|
||||
|
||||
# 化学方程式环境 (需要加载 mhchem 包)
|
||||
(r'\\begin{reaction}.*?\\end{reaction}', 'reaction'), # 化学反应式
|
||||
(r'\\ce\{.*?\}', 'chemequation'), # 化学方程式
|
||||
|
||||
# 物理单位环境 (需要加载 siunitx 包)
|
||||
(r'\\SI\{.*?\}\{.*?\}', 'SI'), # 物理单位
|
||||
(r'\\si\{.*?\}', 'si'), # 单位
|
||||
|
||||
# 补充环境
|
||||
(r'\\begin{equation\+}.*?\\end{equation\+}', 'equation+'), # breqn包的自动换行公式
|
||||
(r'\\begin{dmath\*?}.*?\\end{dmath\*?}', 'dmath'), # breqn包的显示数学模式
|
||||
(r'\\begin{dgroup\*?}.*?\\end{dgroup\*?}', 'dgroup'), # breqn包的公式组
|
||||
]
|
||||
|
||||
# 示例使用函数
|
||||
|
||||
# 使用示例
|
||||
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