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| from toolbox import update_ui | |
| from toolbox import CatchException, report_execption, write_results_to_file | |
| from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive | |
| fast_debug = False | |
| def 解析docx(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt): | |
| import time, os | |
| # pip install python-docx 用于docx格式，跨平台 | |
| # pip install pywin32 用于doc格式，仅支持Win平台 | |
| for index, fp in enumerate(file_manifest): | |
| if fp.split(".")[-1] == "docx": | |
| from docx import Document | |
| doc = Document(fp) | |
| file_content = "\n".join([para.text for para in doc.paragraphs]) | |
| else: | |
| import win32com.client | |
| word = win32com.client.Dispatch("Word.Application") | |
| word.visible = False | |
| # 打开文件 | |
| print('fp', os.getcwd()) | |
| doc = word.Documents.Open(os.getcwd() + '/' + fp) | |
| # file_content = doc.Content.Text | |
| doc = word.ActiveDocument | |
| file_content = doc.Range().Text | |
| doc.Close() | |
| word.Quit() | |
| print(file_content) | |
| # private_upload里面的文件名在解压zip后容易出现乱码（rar和7z格式正常），故可以只分析文章内容，不输入文件名 | |
| from .crazy_utils import breakdown_txt_to_satisfy_token_limit_for_pdf | |
| from request_llm.bridge_all import model_info | |
| max_token = model_info[llm_kwargs['llm_model']]['max_token'] | |
| TOKEN_LIMIT_PER_FRAGMENT = max_token * 3 // 4 | |
| paper_fragments = breakdown_txt_to_satisfy_token_limit_for_pdf( | |
| txt=file_content, | |
| get_token_fn=model_info[llm_kwargs['llm_model']]['token_cnt'], | |
| limit=TOKEN_LIMIT_PER_FRAGMENT | |
| ) | |
| this_paper_history = [] | |
| for i, paper_frag in enumerate(paper_fragments): | |
| i_say = f'请对下面的文章片段用中文做概述，文件名是{os.path.relpath(fp, project_folder)}，文章内容是 ```{paper_frag}```' | |
| i_say_show_user = f'请对下面的文章片段做概述: {os.path.abspath(fp)}的第{i+1}/{len(paper_fragments)}个片段。' | |
| gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive( | |
| inputs=i_say, | |
| inputs_show_user=i_say_show_user, | |
| llm_kwargs=llm_kwargs, | |
| chatbot=chatbot, | |
| history=[], | |
| sys_prompt="总结文章。" | |
| ) | |
| chatbot[-1] = (i_say_show_user, gpt_say) | |
| history.extend([i_say_show_user,gpt_say]) | |
| this_paper_history.extend([i_say_show_user,gpt_say]) | |
| # 已经对该文章的所有片段总结完毕，如果文章被切分了， | |
| if len(paper_fragments) > 1: | |
| i_say = f"根据以上的对话，总结文章{os.path.abspath(fp)}的主要内容。" | |
| gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive( | |
| inputs=i_say, | |
| inputs_show_user=i_say, | |
| llm_kwargs=llm_kwargs, | |
| chatbot=chatbot, | |
| history=this_paper_history, | |
| sys_prompt="总结文章。" | |
| ) | |
| history.extend([i_say,gpt_say]) | |
| this_paper_history.extend([i_say,gpt_say]) | |
| res = write_results_to_file(history) | |
| chatbot.append(("完成了吗？", res)) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| res = write_results_to_file(history) | |
| chatbot.append(("所有文件都总结完成了吗？", res)) | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| def 总结word文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, 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Word文档。函数插件贡献者: JasonGuo1"]) | |
| 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: | |
| from docx import Document | |
| 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 python-docx pywin32```。") | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| 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 from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| return | |
| # 搜索需要处理的文件清单 | |
| if txt.endswith('.docx') or txt.endswith('.doc'): | |
| file_manifest = [txt] | |
| else: | |
| file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.docx', recursive=True)] + \ | |
| [f for f in glob.glob(f'{project_folder}/**/*.doc', 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.docx或doc文件: {txt}") | |
| yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
| return | |
| # 开始正式执行任务 | |
| yield from 解析docx(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt) | |