镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 14:36:48 +00:00
313 行
13 KiB
Python
313 行
13 KiB
Python
from typing import Tuple, Optional, Generator, List
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from toolbox import update_ui, update_ui_lastest_msg, get_conf
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import os, tarfile, requests, time, re
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class ArxivPaperProcessor:
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"""Arxiv论文处理器类"""
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def __init__(self):
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self.supported_encodings = ['utf-8', 'latin1', 'gbk', 'gb2312', 'ascii']
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self.arxiv_cache_dir = get_conf("ARXIV_CACHE_DIR")
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def download_and_extract(self, txt: str, chatbot, history) -> Generator[Optional[Tuple[str, str]], None, None]:
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"""
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Step 1: 下载和提取arxiv论文
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返回: 生成器: (project_folder, arxiv_id)
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"""
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try:
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if txt == "":
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chatbot.append(("", "请输入arxiv论文链接或ID"))
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yield from update_ui(chatbot=chatbot, history=history)
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return
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project_folder, arxiv_id = self.arxiv_download(txt, chatbot, history)
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if project_folder is None or arxiv_id is None:
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return
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if not os.path.exists(project_folder):
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chatbot.append((txt, f"找不到项目文件夹: {project_folder}"))
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yield from update_ui(chatbot=chatbot, history=history)
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return
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# 期望的返回值
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yield project_folder, arxiv_id
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except Exception as e:
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print(e)
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# yield from update_ui_lastest_msg(
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# "下载失败，请手动下载latex源码：请前往arxiv打开此论文下载页面，点other Formats，然后download source。",
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# chatbot=chatbot, history=history)
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return
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def arxiv_download(self, txt: str, chatbot, history) -> Tuple[str, str]:
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"""
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下载arxiv论文并提取
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返回: (project_folder, arxiv_id)
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"""
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def is_float(s: str) -> bool:
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try:
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float(s)
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return True
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except ValueError:
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return False
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if txt.startswith('https://arxiv.org/pdf/'):
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arxiv_id = txt.split('/')[-1] # 2402.14207v2.pdf
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txt = arxiv_id.split('v')[0] # 2402.14207
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if ('.' in txt) and ('/' not in txt) and is_float(txt): # is arxiv ID
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txt = 'https://arxiv.org/abs/' + txt.strip()
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if ('.' in txt) and ('/' not in txt) and is_float(txt[:10]): # is arxiv ID
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txt = 'https://arxiv.org/abs/' + txt[:10]
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if not txt.startswith('https://arxiv.org'):
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chatbot.append((txt, "不是有效的arxiv链接或ID"))
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# yield from update_ui(chatbot=chatbot, history=history)
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return None, None # 返回两个值，即使其中一个为None
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chatbot.append([f"检测到arxiv文档连接", '尝试下载 ...'])
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# yield from update_ui(chatbot=chatbot, history=history)
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url_ = txt # https://arxiv.org/abs/1707.06690
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if not txt.startswith('https://arxiv.org/abs/'):
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msg = f"解析arxiv网址失败, 期望格式例如: https://arxiv.org/abs/1707.06690。实际得到格式: {url_}。"
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# yield from update_ui_lastest_msg(msg, chatbot=chatbot, history=history) # 刷新界面
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return None, None # 返回两个值，即使其中一个为None
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arxiv_id = url_.split('/')[-1].split('v')[0]
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dst = os.path.join(self.arxiv_cache_dir, arxiv_id, f'{arxiv_id}.tar.gz')
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project_folder = os.path.join(self.arxiv_cache_dir, arxiv_id)
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success = self.download_arxiv_paper(url_, dst, chatbot, history)
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# if os.path.exists(dst) and get_conf('allow_cache'):
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# # yield from update_ui_lastest_msg(f"调用缓存 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面
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# success = True
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# else:
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# # yield from update_ui_lastest_msg(f"开始下载 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面
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# success = self.download_arxiv_paper(url_, dst, chatbot, history)
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# # yield from update_ui_lastest_msg(f"下载完成 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面
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if not success:
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# chatbot.append([f"下载失败 {arxiv_id}", ""])
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# yield from update_ui(chatbot=chatbot, history=history)
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raise tarfile.ReadError(f"论文下载失败 {arxiv_id}")
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# yield from update_ui_lastest_msg(f"开始解压 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面
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extract_dst = self.extract_tar_file(dst, project_folder, chatbot, history)
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# yield from update_ui_lastest_msg(f"解压完成 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面
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return extract_dst, arxiv_id
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def download_arxiv_paper(self, url_: str, dst: str, chatbot, history) -> bool:
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"""下载arxiv论文"""
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try:
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proxies = get_conf('proxies')
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for url_tar in [url_.replace('/abs/', '/src/'), url_.replace('/abs/', '/e-print/')]:
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r = requests.get(url_tar, proxies=proxies)
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if r.status_code == 200:
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with open(dst, 'wb+') as f:
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f.write(r.content)
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return True
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return False
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except requests.RequestException as e:
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# chatbot.append((f"下载失败 {url_}", str(e)))
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# yield from update_ui(chatbot=chatbot, history=history)
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return False
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def extract_tar_file(self, file_path: str, dest_dir: str, chatbot, history) -> str:
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"""解压arxiv论文"""
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try:
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with tarfile.open(file_path, 'r:gz') as tar:
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tar.extractall(path=dest_dir)
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return dest_dir
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except tarfile.ReadError as e:
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chatbot.append((f"解压失败 {file_path}", str(e)))
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yield from update_ui(chatbot=chatbot, history=history)
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raise e
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def find_main_tex_file(self, tex_files: list) -> str:
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"""查找主TEX文件"""
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for tex_file in tex_files:
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with open(tex_file, 'r', encoding='utf-8', errors='ignore') as f:
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content = f.read()
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if r'\documentclass' in content:
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return tex_file
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return max(tex_files, key=lambda x: os.path.getsize(x))
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def read_file_with_encoding(self, file_path: str) -> Optional[str]:
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"""使用多种编码尝试读取文件"""
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for encoding in self.supported_encodings:
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try:
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with open(file_path, 'r', encoding=encoding) as f:
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return f.read()
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except UnicodeDecodeError:
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continue
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return None
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def process_tex_content(self, content: str, base_path: str, processed_files=None) -> str:
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"""处理TEX内容，包括递归处理包含的文件"""
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if processed_files is None:
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processed_files = set()
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include_patterns = [
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r'\\input{([^}]+)}',
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r'\\include{([^}]+)}',
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r'\\subfile{([^}]+)}',
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r'\\input\s+([^\s{]+)',
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]
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for pattern in include_patterns:
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matches = re.finditer(pattern, content)
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for match in matches:
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include_file = match.group(1)
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if not include_file.endswith('.tex'):
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include_file += '.tex'
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include_path = os.path.join(base_path, include_file)
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include_path = os.path.normpath(include_path)
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if include_path in processed_files:
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continue
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processed_files.add(include_path)
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if os.path.exists(include_path):
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included_content = self.read_file_with_encoding(include_path)
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if included_content:
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included_content = self.process_tex_content(
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included_content,
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os.path.dirname(include_path),
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processed_files
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)
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content = content.replace(match.group(0), included_content)
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return content
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def merge_tex_files(self, folder_path: str, chatbot, history) -> Optional[str]:
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"""
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Step 2: 合并TEX文件
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返回: 合并后的内容
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"""
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try:
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tex_files = []
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for root, _, files in os.walk(folder_path):
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tex_files.extend([os.path.join(root, f) for f in files if f.endswith('.tex')])
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if not tex_files:
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chatbot.append(("", "未找到任何TEX文件"))
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yield from update_ui(chatbot=chatbot, history=history)
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return None
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main_tex_file = self.find_main_tex_file(tex_files)
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chatbot.append(("", f"找到主TEX文件：{os.path.basename(main_tex_file)}"))
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yield from update_ui(chatbot=chatbot, history=history)
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tex_content = self.read_file_with_encoding(main_tex_file)
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if tex_content is None:
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chatbot.append(("", "无法读取TEX文件，可能是编码问题"))
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yield from update_ui(chatbot=chatbot, history=history)
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return None
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full_content = self.process_tex_content(
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tex_content,
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os.path.dirname(main_tex_file)
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)
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cleaned_content = self.clean_tex_content(full_content)
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chatbot.append(("",
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f"成功处理所有TEX文件：\n"
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f"- 原始内容大小：{len(full_content)}字符\n"
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f"- 清理后内容大小：{len(cleaned_content)}字符"
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))
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yield from update_ui(chatbot=chatbot, history=history)
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# 添加标题和摘要提取
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title = ""
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abstract = ""
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if tex_content:
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# 提取标题
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title_match = re.search(r'\\title{([^}]*)}', tex_content)
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if title_match:
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title = title_match.group(1)
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# 提取摘要
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abstract_match = re.search(r'\\begin{abstract}(.*?)\\end{abstract}',
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tex_content, re.DOTALL)
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if abstract_match:
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abstract = abstract_match.group(1)
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# 按token限制分段
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def split_by_token_limit(text: str, token_limit: int = 1024) -> List[str]:
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segments = []
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current_segment = []
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current_tokens = 0
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for line in text.split('\n'):
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line_tokens = len(line.split())
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if current_tokens + line_tokens > token_limit:
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segments.append('\n'.join(current_segment))
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current_segment = [line]
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current_tokens = line_tokens
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else:
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current_segment.append(line)
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current_tokens += line_tokens
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if current_segment:
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segments.append('\n'.join(current_segment))
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return segments
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text_segments = split_by_token_limit(cleaned_content)
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return {
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'title': title,
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'abstract': abstract,
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'segments': text_segments
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}
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except Exception as e:
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chatbot.append(("", f"处理TEX文件时发生错误：{str(e)}"))
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yield from update_ui(chatbot=chatbot, history=history)
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return None
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@staticmethod
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def clean_tex_content(content: str) -> str:
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"""清理TEX内容"""
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content = re.sub(r'(?m)%.*$', '', content) # 移除注释
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content = re.sub(r'\\cite{[^}]*}', '', content) # 移除引用
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content = re.sub(r'\\label{[^}]*}', '', content) # 移除标签
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content = re.sub(r'\s+', ' ', content) # 规范化空白
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return content.strip()
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if __name__ == "__main__":
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# 测试 arxiv_download 函数
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processor = ArxivPaperProcessor()
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chatbot = []
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history = []
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# 测试不同格式的输入
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test_inputs = [
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"https://arxiv.org/abs/2402.14207", # 标准格式
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"https://arxiv.org/pdf/2402.14207.pdf", # PDF链接格式
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"2402.14207", # 纯ID格式
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"2402.14207v1", # 带版本号的ID格式
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"https://invalid.url", # 无效URL测试
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]
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for input_url in test_inputs:
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print(f"\n测试输入: {input_url}")
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try:
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project_folder, arxiv_id = processor.arxiv_download(input_url, chatbot, history)
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if project_folder and arxiv_id:
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print(f"下载成功:")
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print(f"- 项目文件夹: {project_folder}")
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print(f"- Arxiv ID: {arxiv_id}")
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print(f"- 文件夹是否存在: {os.path.exists(project_folder)}")
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else:
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print("下载失败: 返回值为 None")
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except Exception as e:
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print(f"发生错误: {str(e)}")
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