Spaces:
Running
Running
from toolbox import update_ui | |
from toolbox import CatchException, report_exception | |
from toolbox import write_history_to_file, promote_file_to_downloadzone | |
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: | |
try: | |
import win32com.client | |
word = win32com.client.Dispatch("Word.Application") | |
word.visible = False | |
# 打开文件 | |
doc = word.Documents.Open(os.getcwd() + '/' + fp) | |
# file_content = doc.Content.Text | |
doc = word.ActiveDocument | |
file_content = doc.Range().Text | |
doc.Close() | |
word.Quit() | |
except: | |
raise RuntimeError('请先将.doc文档转换为.docx文档。') | |
# 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_functions.pdf_fns.breakdown_txt import breakdown_text_to_satisfy_token_limit | |
from request_llms.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_text_to_satisfy_token_limit(txt=file_content, limit=TOKEN_LIMIT_PER_FRAGMENT, llm_model=llm_kwargs['llm_model']) | |
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_history_to_file(history) | |
promote_file_to_downloadzone(res, chatbot=chatbot) | |
chatbot.append(("完成了吗?", res)) | |
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
res = write_history_to_file(history) | |
promote_file_to_downloadzone(res, chatbot=chatbot) | |
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。注意, 如果是.doc文件, 请先转化为.docx格式。"]) | |
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_exception(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_exception(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_exception(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) | |