Spaces:
Running
Running
| from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive | |
| from toolbox import CatchException, report_execption, promote_file_to_downloadzone | |
| from toolbox import update_ui, update_ui_lastest_msg, disable_auto_promotion, write_history_to_file | |
| import logging | |
| import requests | |
| import time | |
| import random | |
| ENABLE_ALL_VERSION_SEARCH = True | |
| def get_meta_information(url, chatbot, history): | |
| import arxiv | |
| import difflib | |
| import re | |
| from bs4 import BeautifulSoup | |
| from toolbox import get_conf | |
| from urllib.parse import urlparse | |
| session = requests.session() | |
| proxies, = get_conf('proxies') | |
| headers = { | |
| 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36', | |
| 'Accept-Encoding': 'gzip, deflate, br', | |
| 'Accept-Language': 'en-US,en;q=0.9,zh-CN;q=0.8,zh;q=0.7', | |
| 'Cache-Control':'max-age=0', | |
| 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7', | |
| 'Connection': 'keep-alive' | |
| } | |
| session.proxies.update(proxies) | |
| session.headers.update(headers) | |
| response = session.get(url) | |
| # 解析网页内容 | |
| soup = BeautifulSoup(response.text, "html.parser") | |
| def string_similar(s1, s2): | |
| return difflib.SequenceMatcher(None, s1, s2).quick_ratio() | |
| if ENABLE_ALL_VERSION_SEARCH: | |
| def search_all_version(url): | |
| time.sleep(random.randint(1,5)) # 睡一会防止触发google反爬虫 | |
| response = session.get(url) | |
| soup = BeautifulSoup(response.text, "html.parser") | |
| for result in soup.select(".gs_ri"): | |
| try: | |
| url = result.select_one(".gs_rt").a['href'] | |
| except: | |
| continue | |
| arxiv_id = extract_arxiv_id(url) | |
| if not arxiv_id: | |
| continue | |
| search = arxiv.Search( | |
| id_list=[arxiv_id], | |
| max_results=1, | |
| sort_by=arxiv.SortCriterion.Relevance, | |
| ) | |
| try: paper = next(search.results()) | |
| except: paper = None | |
| return paper | |
| return None | |
| def extract_arxiv_id(url): | |
| # 返回给定的url解析出的arxiv_id，如url未成功匹配返回None | |
| pattern = r'arxiv.org/abs/([^/]+)' | |
| match = re.search(pattern, url) | |
| if match: | |
| return match.group(1) | |
| else: | |
| return None | |
| profile = [] | |
| # 获取所有文章的标题和作者 | |
| for result in soup.select(".gs_ri"): | |
| title = result.a.text.replace('\n', ' ').replace(' ', ' ') | |
| author = result.select_one(".gs_a").text | |
| try: | |
| citation = result.select_one(".gs_fl > a[href*='cites']").text # 引用次数是链接中的文本，直接取出来 | |
| except: | |
| citation = 'cited by 0' | |
| abstract = result.select_one(".gs_rs").text.strip() # 摘要在 .gs_rs 中的文本，需要清除首尾空格 | |
| # 首先在arxiv上搜索，获取文章摘要 | |
| search = arxiv.Search( | |
| query = title, | |
| max_results = 1, | |
| sort_by = arxiv.SortCriterion.Relevance, | |
| ) | |
| try: paper = next(search.results()) | |
| except: paper = None | |
| is_match = paper is not None and string_similar(title, paper.title) > 0.90 | |
| # 如果在Arxiv上匹配失败，检索文章的历史版本的题目 | |
| if not is_match and ENABLE_ALL_VERSION_SEARCH: | |
| other_versions_page_url = [tag['href'] for tag in result.select_one('.gs_flb').select('.gs_nph') if 'cluster' in tag['href']] | |
| if len(other_versions_page_url) > 0: | |
| other_versions_page_url = other_versions_page_url[0] | |
| paper = search_all_version('http://' + urlparse(url).netloc + other_versions_page_url) | |
| is_match = paper is not None and string_similar(title, paper.title) > 0.90 | |
| if is_match: | |
| # same paper | |
| abstract = paper.summary.replace('\n', ' ') | |
| is_paper_in_arxiv = True | |
| else: | |
| # different paper | |
| abstract = abstract | |
| is_paper_in_arxiv = False | |
| logging.info('[title]:' + title) | |
| logging.info('[author]:' + author) | |
| logging.info('[citation]:' + citation) | |
| profile.append({ | |
| 'title': title, | |
| 'author': author, | |
| 'citation': citation, | |
| 'abstract': abstract, | |
| 'is_paper_in_arxiv': is_paper_in_arxiv, | |
| }) | |
| chatbot[-1] = [chatbot[-1][0], title + f'\n\n是否在arxiv中（不在arxiv中无法获取完整摘要）:{is_paper_in_arxiv}\n\n' + abstract] | |
| yield from update_ui(chatbot=chatbot, history=[]) # 刷新界面 | |
| return profile | |
| def 谷歌检索小助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port): | |
| disable_auto_promotion(chatbot=chatbot) | |
| # 基本信息：功能、贡献者 | |
| chatbot.append([ | |
| "函数插件功能？", | |
| "分析用户提供的谷歌学术（google scholar）搜索页面中，出现的所有文章: binary-husky，插件初始化中..."]) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| # 尝试导入依赖，如果缺少依赖，则给出安装建议 | |
| try: | |
| import arxiv | |
| import math | |
| from bs4 import BeautifulSoup | |
| 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 beautifulsoup4 arxiv```。") | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| return | |
| # 清空历史，以免输入溢出 | |
| history = [] | |
| meta_paper_info_list = yield from get_meta_information(txt, chatbot, history) | |
| if len(meta_paper_info_list) == 0: | |
| yield from update_ui_lastest_msg(lastmsg='获取文献失败，可能触发了google反爬虫机制。',chatbot=chatbot, history=history, delay=0) | |
| return | |
| batchsize = 5 | |
| for batch in range(math.ceil(len(meta_paper_info_list)/batchsize)): | |
| if len(meta_paper_info_list[:batchsize]) > 0: | |
| i_say = "下面是一些学术文献的数据，提取出以下内容：" + \ | |
| "1、英文题目；2、中文题目翻译；3、作者；4、arxiv公开（is_paper_in_arxiv）；4、引用数量（cite）；5、中文摘要翻译。" + \ | |
| f"以下是信息源：{str(meta_paper_info_list[:batchsize])}" | |
| inputs_show_user = f"请分析此页面中出现的所有文章：{txt}，这是第{batch+1}批" | |
| gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive( | |
| inputs=i_say, inputs_show_user=inputs_show_user, | |
| llm_kwargs=llm_kwargs, chatbot=chatbot, history=[], | |
| sys_prompt="你是一个学术翻译，请从数据中提取信息。你必须使用Markdown表格。你必须逐个文献进行处理。" | |
| ) | |
| history.extend([ f"第{batch+1}批", gpt_say ]) | |
| meta_paper_info_list = meta_paper_info_list[batchsize:] | |
| chatbot.append(["状态？", | |
| "已经全部完成，您可以试试让AI写一个Related Works，例如您可以继续输入Write a \"Related Works\" section about \"你搜索的研究领域\" for me."]) | |
| msg = '正常' | |
| yield from update_ui(chatbot=chatbot, history=history, msg=msg) # 刷新界面 | |
| path = write_history_to_file(history) | |
| promote_file_to_downloadzone(path, chatbot=chatbot) | |
| chatbot.append(("完成了吗？", path)); | |
| yield from update_ui(chatbot=chatbot, history=history, msg=msg) # 刷新界面 | |