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from predict import predict_no_ui | |
from toolbox import CatchException, report_execption, write_results_to_file, predict_no_ui_but_counting_down, get_conf | |
import re, requests, unicodedata, os | |
def download_arxiv_(url_pdf): | |
if 'arxiv.org' not in url_pdf: | |
if ('.' in url_pdf) and ('/' not in url_pdf): | |
new_url = 'https://arxiv.org/abs/'+url_pdf | |
print('下载编号:', url_pdf, '自动定位:', new_url) | |
# download_arxiv_(new_url) | |
return download_arxiv_(new_url) | |
else: | |
print('不能识别的URL!') | |
return None | |
if 'abs' in url_pdf: | |
url_pdf = url_pdf.replace('abs', 'pdf') | |
url_pdf = url_pdf + '.pdf' | |
url_abs = url_pdf.replace('.pdf', '').replace('pdf', 'abs') | |
title, other_info = get_name(_url_=url_abs) | |
paper_id = title.split()[0] # '[1712.00559]' | |
if '2' in other_info['year']: | |
title = other_info['year'] + ' ' + title | |
known_conf = ['NeurIPS', 'NIPS', 'Nature', 'Science', 'ICLR', 'AAAI'] | |
for k in known_conf: | |
if k in other_info['comment']: | |
title = k + ' ' + title | |
download_dir = './gpt_log/arxiv/' | |
os.makedirs(download_dir, exist_ok=True) | |
title_str = title.replace('?', '?')\ | |
.replace(':', ':')\ | |
.replace('\"', '“')\ | |
.replace('\n', '')\ | |
.replace(' ', ' ')\ | |
.replace(' ', ' ') | |
requests_pdf_url = url_pdf | |
file_path = download_dir+title_str | |
# if os.path.exists(file_path): | |
# print('返回缓存文件') | |
# return './gpt_log/arxiv/'+title_str | |
print('下载中') | |
proxies, = get_conf('proxies') | |
r = requests.get(requests_pdf_url, proxies=proxies) | |
with open(file_path, 'wb+') as f: | |
f.write(r.content) | |
print('下载完成') | |
# print('输出下载命令:','aria2c -o \"%s\" %s'%(title_str,url_pdf)) | |
# subprocess.call('aria2c --all-proxy=\"172.18.116.150:11084\" -o \"%s\" %s'%(download_dir+title_str,url_pdf), shell=True) | |
x = "%s %s %s.bib" % (paper_id, other_info['year'], other_info['authors']) | |
x = x.replace('?', '?')\ | |
.replace(':', ':')\ | |
.replace('\"', '“')\ | |
.replace('\n', '')\ | |
.replace(' ', ' ')\ | |
.replace(' ', ' ') | |
return './gpt_log/arxiv/'+title_str, other_info | |
def get_name(_url_): | |
import os | |
from bs4 import BeautifulSoup | |
print('正在获取文献名!') | |
print(_url_) | |
# arxiv_recall = {} | |
# if os.path.exists('./arxiv_recall.pkl'): | |
# with open('./arxiv_recall.pkl', 'rb') as f: | |
# arxiv_recall = pickle.load(f) | |
# if _url_ in arxiv_recall: | |
# print('在缓存中') | |
# return arxiv_recall[_url_] | |
proxies, = get_conf('proxies') | |
res = requests.get(_url_, proxies=proxies) | |
bs = BeautifulSoup(res.text, 'html.parser') | |
other_details = {} | |
# get year | |
try: | |
year = bs.find_all(class_='dateline')[0].text | |
year = re.search(r'(\d{4})', year, re.M | re.I).group(1) | |
other_details['year'] = year | |
abstract = bs.find_all(class_='abstract mathjax')[0].text | |
other_details['abstract'] = abstract | |
except: | |
other_details['year'] = '' | |
print('年份获取失败') | |
# get author | |
try: | |
authors = bs.find_all(class_='authors')[0].text | |
authors = authors.split('Authors:')[1] | |
other_details['authors'] = authors | |
except: | |
other_details['authors'] = '' | |
print('authors获取失败') | |
# get comment | |
try: | |
comment = bs.find_all(class_='metatable')[0].text | |
real_comment = None | |
for item in comment.replace('\n', ' ').split(' '): | |
if 'Comments' in item: | |
real_comment = item | |
if real_comment is not None: | |
other_details['comment'] = real_comment | |
else: | |
other_details['comment'] = '' | |
except: | |
other_details['comment'] = '' | |
print('年份获取失败') | |
title_str = BeautifulSoup( | |
res.text, 'html.parser').find('title').contents[0] | |
print('获取成功:', title_str) | |
# arxiv_recall[_url_] = (title_str+'.pdf', other_details) | |
# with open('./arxiv_recall.pkl', 'wb') as f: | |
# pickle.dump(arxiv_recall, f) | |
return title_str+'.pdf', other_details | |
def 下载arxiv论文并翻译摘要(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT): | |
CRAZY_FUNCTION_INFO = "下载arxiv论文并翻译摘要,作者 binary-husky。正在提取摘要并下载PDF文档……" | |
raise RuntimeError() | |
import glob | |
import os | |
# 基本信息:功能、贡献者 | |
chatbot.append(["函数插件功能?", CRAZY_FUNCTION_INFO]) | |
yield chatbot, history, '正常' | |
# 尝试导入依赖,如果缺少依赖,则给出安装建议 | |
try: | |
import pdfminer, bs4 | |
except: | |
report_execption(chatbot, history, | |
a = f"解析项目: {txt}", | |
b = f"导入软件依赖失败。使用该模块需要额外依赖,安装方法```pip install --upgrade pdfminer beautifulsoup4```。") | |
yield chatbot, history, '正常' | |
return | |
# 清空历史,以免输入溢出 | |
history = [] | |
# 提取摘要,下载PDF文档 | |
try: | |
pdf_path, info = download_arxiv_(txt) | |
except: | |
report_execption(chatbot, history, | |
a = f"解析项目: {txt}", | |
b = f"下载pdf文件未成功") | |
yield chatbot, history, '正常' | |
return | |
# 翻译摘要等 | |
i_say = f"请你阅读以下学术论文相关的材料,提取摘要,翻译为中文。材料如下:{str(info)}" | |
i_say_show_user = f'请你阅读以下学术论文相关的材料,提取摘要,翻译为中文。论文:{pdf_path}' | |
chatbot.append((i_say_show_user, "[Local Message] waiting gpt response.")) | |
yield chatbot, history, '正常' | |
msg = '正常' | |
# ** gpt request ** | |
gpt_say = yield from predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[]) # 带超时倒计时 | |
chatbot[-1] = (i_say_show_user, gpt_say) | |
history.append(i_say_show_user); history.append(gpt_say) | |
yield chatbot, history, msg | |
# 写入文件 | |
import shutil | |
# 重置文件的创建时间 | |
shutil.copyfile(pdf_path, pdf_path.replace('.pdf', '.autodownload.pdf')); os.remove(pdf_path) | |
res = write_results_to_file(history) | |
chatbot.append(("完成了吗?", res)) | |
yield chatbot, history, msg | |