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from toolbox import update_ui |
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from toolbox import CatchException, report_execption, write_results_to_file |
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from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive |
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fast_debug = False |
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def 解析docx(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt): |
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import time, os |
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for index, fp in enumerate(file_manifest): |
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if fp.split(".")[-1] == "docx": |
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from docx import Document |
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doc = Document(fp) |
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file_content = "\n".join([para.text for para in doc.paragraphs]) |
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else: |
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import win32com.client |
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word = win32com.client.Dispatch("Word.Application") |
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word.visible = False |
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print('fp', os.getcwd()) |
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doc = word.Documents.Open(os.getcwd() + '/' + fp) |
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doc = word.ActiveDocument |
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file_content = doc.Range().Text |
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doc.Close() |
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word.Quit() |
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print(file_content) |
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from .crazy_utils import breakdown_txt_to_satisfy_token_limit_for_pdf |
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from request_llm.bridge_all import model_info |
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max_token = model_info[llm_kwargs['llm_model']]['max_token'] |
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TOKEN_LIMIT_PER_FRAGMENT = max_token * 3 // 4 |
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paper_fragments = breakdown_txt_to_satisfy_token_limit_for_pdf( |
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txt=file_content, |
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get_token_fn=model_info[llm_kwargs['llm_model']]['token_cnt'], |
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limit=TOKEN_LIMIT_PER_FRAGMENT |
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) |
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this_paper_history = [] |
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for i, paper_frag in enumerate(paper_fragments): |
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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}```' |
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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。' |
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gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive( |
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inputs=i_say, |
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inputs_show_user=i_say_show_user, |
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llm_kwargs=llm_kwargs, |
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chatbot=chatbot, |
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history=[], |
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sys_prompt="总结文章。" |
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) |
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chatbot[-1] = (i_say_show_user, gpt_say) |
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history.extend([i_say_show_user,gpt_say]) |
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this_paper_history.extend([i_say_show_user,gpt_say]) |
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if len(paper_fragments) > 1: |
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i_say = f"根据以上的对话，总结文章{os.path.abspath(fp)}的主要内容。" |
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gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive( |
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inputs=i_say, |
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inputs_show_user=i_say, |
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llm_kwargs=llm_kwargs, |
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chatbot=chatbot, |
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history=this_paper_history, |
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sys_prompt="总结文章。" |
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) |
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history.extend([i_say,gpt_say]) |
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this_paper_history.extend([i_say,gpt_say]) |
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res = write_results_to_file(history) |
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chatbot.append(("完成了吗？", res)) |
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yield from update_ui(chatbot=chatbot, history=history) |
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res = write_results_to_file(history) |
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chatbot.append(("所有文件都总结完成了吗？", res)) |
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yield from update_ui(chatbot=chatbot, history=history) |
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@CatchException |
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def 总结word文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port): |
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import glob, os |
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chatbot.append([ |
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"函数插件功能？", |
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"批量总结Word文档。函数插件贡献者: JasonGuo1。注意, 如果是.doc文件, 请先转化为.docx格式。"]) |
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yield from update_ui(chatbot=chatbot, history=history) |
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try: |
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from docx import Document |
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except: |
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report_execption(chatbot, history, |
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a=f"解析项目: {txt}", |
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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```。") |
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yield from update_ui(chatbot=chatbot, history=history) |
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return |
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history = [] |
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if os.path.exists(txt): |
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project_folder = txt |
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else: |
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if txt == "": txt = '空空如也的输入栏' |
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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}") |
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yield from update_ui(chatbot=chatbot, history=history) |
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return |
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if txt.endswith('.docx') or txt.endswith('.doc'): |
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file_manifest = [txt] |
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else: |
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file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.docx', recursive=True)] + \ |
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[f for f in glob.glob(f'{project_folder}/**/*.doc', recursive=True)] |
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if len(file_manifest) == 0: |
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report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何.docx或doc文件: {txt}") |
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yield from update_ui(chatbot=chatbot, history=history) |
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return |
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yield from 解析docx(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt) |
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