from predict import predict_no_ui from toolbox import CatchException, report_execption, write_results_to_file, predict_no_ui_but_counting_down fast_debug = False def 解析PDF(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt): import time, glob, os, fitz print('begin analysis on:', file_manifest) for index, fp in enumerate(file_manifest): with fitz.open(fp) as doc: file_content = "" for page in doc: file_content += page.get_text() file_content = file_content.encode('gbk', 'ignore').decode('gbk') print(file_content) prefix = "接下来请你逐文件分析下面的论文文件,概括其内容" if index==0 else "" i_say = prefix + f'请对下面的文章片段用中文做一个概述,文件名是{os.path.relpath(fp, project_folder)},文章内容是 ```{file_content}```' i_say_show_user = prefix + f'[{index}/{len(file_manifest)}] 请对下面的文章片段做一个概述: {os.path.abspath(fp)}' chatbot.append((i_say_show_user, "[Local Message] waiting gpt response.")) print('[1] yield chatbot, history') yield chatbot, history, '正常' if not fast_debug: 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 print('[2] end gpt req') chatbot[-1] = (i_say_show_user, gpt_say) history.append(i_say_show_user); history.append(gpt_say) print('[3] yield chatbot, history') yield chatbot, history, msg print('[4] next') if not fast_debug: time.sleep(2) all_file = ', '.join([os.path.relpath(fp, project_folder) for index, fp in enumerate(file_manifest)]) i_say = f'根据以上你自己的分析,对全文进行概括,用学术性语言写一段中文摘要,然后再写一段英文摘要(包括{all_file})。' chatbot.append((i_say, "[Local Message] waiting gpt response.")) yield chatbot, history, '正常' if not fast_debug: msg = '正常' # ** gpt request ** gpt_say = yield from predict_no_ui_but_counting_down(i_say, i_say, chatbot, top_p, temperature, history=history) # 带超时倒计时 chatbot[-1] = (i_say, gpt_say) history.append(i_say); history.append(gpt_say) yield chatbot, history, msg res = write_results_to_file(history) chatbot.append(("完成了吗?", res)) yield chatbot, history, msg @CatchException def 批量总结PDF文档(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT): import glob, os # 基本信息:功能、贡献者 chatbot.append([ "函数插件功能?", "批量总结PDF文档。函数插件贡献者: ValeriaWong"]) 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 fitz 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 pymupdf```。") yield chatbot, history, '正常' return # 清空历史,以免输入溢出 history = [] # 检测输入参数,如没有给定输入参数,直接退出 if os.path.exists(txt): project_folder = txt else: if txt == "": txt = '空空如也的输入栏' report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}") yield chatbot, history, '正常' return # 搜索需要处理的文件清单 file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.pdf', recursive=True)] # + \ # [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] + \ # [f for f in glob.glob(f'{project_folder}/**/*.cpp', recursive=True)] + \ # [f for f in glob.glob(f'{project_folder}/**/*.c', recursive=True)] # 如果没找到任何文件 if len(file_manifest) == 0: report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex或.pdf文件: {txt}") yield chatbot, history, '正常' return # 开始正式执行任务 yield from 解析PDF(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)