镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 22:46:48 +00:00
8042750d41
* stage academic conversation * stage document conversation * fix buggy gradio version * file dynamic load * merge more academic plugins * accelerate nltk * feat: 为predict函数添加文件和URL读取功能 - 添加URL检测和网页内容提取功能，支持自动提取网页文本 - 添加文件路径识别和文件内容读取功能，支持private_upload路径格式 - 集成WebTextExtractor处理网页内容提取 - 集成TextContentLoader处理本地文件读取 - 支持文件路径与问题组合的智能处理 * back * block unstable --------- Co-authored-by: XiaoBoAI <liuboyin2019@ia.ac.cn>
296 行
11 KiB
Python
296 行
11 KiB
Python
import re
|
||
import os
|
||
import zipfile
|
||
from toolbox import CatchException, update_ui, promote_file_to_downloadzone, get_log_folder, get_user
|
||
|
||
from pathlib import Path
|
||
from datetime import datetime
|
||
|
||
def extract_paper_id(txt):
|
||
"""从输入文本中提取论文ID"""
|
||
# 尝试匹配DOI（将DOI匹配提前，因为其格式更加明确）
|
||
doi_patterns = [
|
||
r'doi.org/([\w\./-]+)', # doi.org/10.1234/xxx
|
||
r'doi:\s*([\w\./-]+)', # doi: 10.1234/xxx
|
||
r'(10\.\d{4,}/[\w\.-]+)', # 直接输入DOI: 10.1234/xxx
|
||
]
|
||
|
||
for pattern in doi_patterns:
|
||
match = re.search(pattern, txt, re.IGNORECASE)
|
||
if match:
|
||
return ('doi', match.group(1))
|
||
|
||
# 尝试匹配arXiv ID
|
||
arxiv_patterns = [
|
||
r'arxiv.org/abs/(\d+\.\d+)', # arxiv.org/abs/2103.14030
|
||
r'arxiv.org/pdf/(\d+\.\d+)', # arxiv.org/pdf/2103.14030
|
||
r'arxiv/(\d+\.\d+)', # arxiv/2103.14030
|
||
r'^(\d{4}\.\d{4,5})$', # 直接输入ID: 2103.14030
|
||
# 添加对早期arXiv ID的支持
|
||
r'arxiv.org/abs/([\w-]+/\d{7})', # arxiv.org/abs/math/0211159
|
||
r'arxiv.org/pdf/([\w-]+/\d{7})', # arxiv.org/pdf/hep-th/9901001
|
||
r'^([\w-]+/\d{7})$', # 直接输入: math/0211159
|
||
]
|
||
|
||
for pattern in arxiv_patterns:
|
||
match = re.search(pattern, txt, re.IGNORECASE)
|
||
if match:
|
||
paper_id = match.group(1)
|
||
# 如果是新格式（YYMM.NNNNN）或旧格式（category/NNNNNNN），都直接返回
|
||
if re.match(r'^\d{4}\.\d{4,5}$', paper_id) or re.match(r'^[\w-]+/\d{7}$', paper_id):
|
||
return ('arxiv', paper_id)
|
||
|
||
return None
|
||
|
||
def extract_paper_ids(txt):
|
||
"""从输入文本中提取多个论文ID"""
|
||
paper_ids = []
|
||
|
||
# 首先按换行符分割
|
||
for line in txt.strip().split('\n'):
|
||
line = line.strip()
|
||
if not line: # 跳过空行
|
||
continue
|
||
|
||
# 对每一行再按空格分割
|
||
for item in line.split():
|
||
item = item.strip()
|
||
if not item: # 跳过空项
|
||
continue
|
||
paper_info = extract_paper_id(item)
|
||
if paper_info:
|
||
paper_ids.append(paper_info)
|
||
|
||
# 去除重复项，保持顺序
|
||
unique_paper_ids = []
|
||
seen = set()
|
||
for paper_info in paper_ids:
|
||
if paper_info not in seen:
|
||
seen.add(paper_info)
|
||
unique_paper_ids.append(paper_info)
|
||
|
||
return unique_paper_ids
|
||
|
||
def format_arxiv_id(paper_id):
|
||
"""格式化arXiv ID，处理新旧两种格式"""
|
||
# 如果是旧格式 (e.g. astro-ph/0404140)，需要去掉arxiv:前缀
|
||
if '/' in paper_id:
|
||
return paper_id.replace('arxiv:', '') # 确保移除可能存在的arxiv:前缀
|
||
return paper_id
|
||
|
||
def get_arxiv_paper(paper_id):
|
||
"""获取arXiv论文，处理新旧两种格式"""
|
||
import arxiv
|
||
|
||
# 尝试不同的查询方式
|
||
query_formats = [
|
||
paper_id, # 原始ID
|
||
paper_id.replace('/', ''), # 移除斜杠
|
||
f"id:{paper_id}", # 添加id:前缀
|
||
]
|
||
|
||
for query in query_formats:
|
||
try:
|
||
# 使用Search查询
|
||
search = arxiv.Search(
|
||
query=query,
|
||
max_results=1
|
||
)
|
||
result = next(arxiv.Client().results(search))
|
||
if result:
|
||
return result
|
||
except:
|
||
continue
|
||
|
||
try:
|
||
# 使用id_list查询
|
||
search = arxiv.Search(id_list=[query])
|
||
result = next(arxiv.Client().results(search))
|
||
if result:
|
||
return result
|
||
except:
|
||
continue
|
||
|
||
return None
|
||
|
||
def create_zip_archive(files, save_path):
|
||
"""将多个PDF文件打包成zip"""
|
||
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
|
||
zip_filename = f"papers_{timestamp}.zip"
|
||
zip_path = str(save_path / zip_filename)
|
||
|
||
with zipfile.ZipFile(zip_path, 'w') as zipf:
|
||
for file in files:
|
||
if os.path.exists(file):
|
||
# 只添加文件名，不包含路径
|
||
zipf.write(file, os.path.basename(file))
|
||
|
||
return zip_path
|
||
|
||
@CatchException
|
||
def 论文下载(txt: str, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
|
||
"""
|
||
txt: 用户输入，可以是DOI、arxiv ID或相关链接，支持多行输入进行批量下载
|
||
"""
|
||
from crazy_functions.doc_fns.text_content_loader import TextContentLoader
|
||
from crazy_functions.review_fns.data_sources.arxiv_source import ArxivSource
|
||
from crazy_functions.review_fns.data_sources.scihub_source import SciHub
|
||
# 解析输入
|
||
paper_infos = extract_paper_ids(txt)
|
||
if not paper_infos:
|
||
chatbot.append(["输入解析", "未能识别任何论文ID或DOI，请检查输入格式。支持以下格式：\n- arXiv ID (例如：2103.14030)\n- arXiv链接\n- DOI (例如：10.1234/xxx)\n- DOI链接\n\n多个论文ID请用换行分隔。"])
|
||
yield from update_ui(chatbot=chatbot, history=history)
|
||
return
|
||
|
||
# 创建保存目录 - 使用时间戳创建唯一文件夹
|
||
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
|
||
base_save_dir = get_log_folder(get_user(chatbot), plugin_name='paper_download')
|
||
save_dir = os.path.join(base_save_dir, f"papers_{timestamp}")
|
||
if not os.path.exists(save_dir):
|
||
os.makedirs(save_dir)
|
||
save_path = Path(save_dir)
|
||
|
||
# 记录下载结果
|
||
success_count = 0
|
||
failed_papers = []
|
||
downloaded_files = [] # 记录成功下载的文件路径
|
||
|
||
chatbot.append([f"开始下载", f"支持多行输入下载多篇论文，共检测到 {len(paper_infos)} 篇论文，开始下载..."])
|
||
yield from update_ui(chatbot=chatbot, history=history)
|
||
|
||
for id_type, paper_id in paper_infos:
|
||
try:
|
||
if id_type == 'arxiv':
|
||
chatbot.append([f"正在下载", f"从arXiv下载论文 {paper_id}..."])
|
||
yield from update_ui(chatbot=chatbot, history=history)
|
||
|
||
# 使用改进的arxiv查询方法
|
||
formatted_id = format_arxiv_id(paper_id)
|
||
paper_result = get_arxiv_paper(formatted_id)
|
||
|
||
if not paper_result:
|
||
failed_papers.append((paper_id, "未找到论文"))
|
||
continue
|
||
|
||
# 下载PDF
|
||
try:
|
||
filename = f"arxiv_{paper_id.replace('/', '_')}.pdf"
|
||
pdf_path = str(save_path / filename)
|
||
paper_result.download_pdf(filename=pdf_path)
|
||
if os.path.exists(pdf_path):
|
||
downloaded_files.append(pdf_path)
|
||
except Exception as e:
|
||
failed_papers.append((paper_id, f"PDF下载失败: {str(e)}"))
|
||
continue
|
||
|
||
else: # doi
|
||
chatbot.append([f"正在下载", f"从Sci-Hub下载论文 {paper_id}..."])
|
||
yield from update_ui(chatbot=chatbot, history=history)
|
||
|
||
sci_hub = SciHub(
|
||
doi=paper_id,
|
||
path=save_path
|
||
)
|
||
pdf_path = sci_hub.fetch()
|
||
if pdf_path and os.path.exists(pdf_path):
|
||
downloaded_files.append(pdf_path)
|
||
|
||
# 检查下载结果
|
||
if pdf_path and os.path.exists(pdf_path):
|
||
promote_file_to_downloadzone(pdf_path, chatbot=chatbot)
|
||
success_count += 1
|
||
else:
|
||
failed_papers.append((paper_id, "下载失败"))
|
||
|
||
except Exception as e:
|
||
failed_papers.append((paper_id, str(e)))
|
||
|
||
yield from update_ui(chatbot=chatbot, history=history)
|
||
|
||
# 创建ZIP压缩包
|
||
if downloaded_files:
|
||
try:
|
||
zip_path = create_zip_archive(downloaded_files, Path(base_save_dir))
|
||
promote_file_to_downloadzone(zip_path, chatbot=chatbot)
|
||
chatbot.append([
|
||
f"创建压缩包",
|
||
f"已将所有下载的论文打包为: {os.path.basename(zip_path)}"
|
||
])
|
||
yield from update_ui(chatbot=chatbot, history=history)
|
||
except Exception as e:
|
||
chatbot.append([
|
||
f"创建压缩包失败",
|
||
f"打包文件时出现错误: {str(e)}"
|
||
])
|
||
yield from update_ui(chatbot=chatbot, history=history)
|
||
|
||
# 生成最终报告
|
||
summary = f"下载完成！成功下载 {success_count} 篇论文。\n"
|
||
if failed_papers:
|
||
summary += "\n以下论文下载失败：\n"
|
||
for paper_id, reason in failed_papers:
|
||
summary += f"- {paper_id}: {reason}\n"
|
||
|
||
if downloaded_files:
|
||
summary += f"\n所有论文已存放在文件夹 '{save_dir}' 中，并打包到压缩文件中。您可以在下载区找到单个PDF文件和压缩包。"
|
||
|
||
chatbot.append([
|
||
f"下载完成",
|
||
summary
|
||
])
|
||
yield from update_ui(chatbot=chatbot, history=history)
|
||
|
||
# 如果下载成功且用户想要直接阅读内容
|
||
if downloaded_files:
|
||
chatbot.append([
|
||
"提示",
|
||
"正在读取论文内容进行分析，请稍候..."
|
||
])
|
||
yield from update_ui(chatbot=chatbot, history=history)
|
||
|
||
# 使用TextContentLoader加载整个文件夹的PDF文件内容
|
||
loader = TextContentLoader(chatbot, history)
|
||
|
||
# 删除提示信息
|
||
chatbot.pop()
|
||
|
||
# 加载PDF内容 - 传入文件夹路径而不是单个文件路径
|
||
yield from loader.execute(save_dir)
|
||
|
||
# 添加提示信息
|
||
chatbot.append([
|
||
"提示",
|
||
"论文内容已加载完毕，您可以直接向AI提问有关该论文的问题。"
|
||
])
|
||
yield from update_ui(chatbot=chatbot, history=history)
|
||
|
||
if __name__ == "__main__":
|
||
# 测试代码
|
||
import asyncio
|
||
async def test():
|
||
# 测试批量输入
|
||
batch_inputs = [
|
||
# 换行分隔的测试
|
||
"""https://arxiv.org/abs/2103.14030
|
||
math/0211159
|
||
10.1038/s41586-021-03819-2""",
|
||
|
||
# 空格分隔的测试
|
||
"https://arxiv.org/abs/2103.14030 math/0211159 10.1038/s41586-021-03819-2",
|
||
|
||
# 混合分隔的测试
|
||
"""https://arxiv.org/abs/2103.14030 math/0211159
|
||
10.1038/s41586-021-03819-2 https://doi.org/10.1038/s41586-021-03819-2
|
||
2103.14030""",
|
||
]
|
||
|
||
for i, test_input in enumerate(batch_inputs, 1):
|
||
print(f"\n测试用例 {i}:")
|
||
print(f"输入: {test_input}")
|
||
results = extract_paper_ids(test_input)
|
||
print(f"解析结果:")
|
||
for result in results:
|
||
print(f" {result}")
|
||
|
||
asyncio.run(test())
|