101 lines
4.5 KiB
Python
101 lines
4.5 KiB
Python
from predict import predict_no_ui
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from toolbox import CatchException, report_execption, write_results_to_file, predict_no_ui_but_counting_down, clean_text
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fast_debug = False
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def 解析PDF(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt):
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import time, glob, os, fitz
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print('begin analysis on:', file_manifest)
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for index, fp in enumerate(file_manifest):
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with fitz.open(fp) as doc:
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file_content = ""
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for page in doc:
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file_content += page.get_text()
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file_content = clean_text(file_content)
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print(file_content)
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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 ""
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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}```'
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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)}'
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chatbot.append((i_say_show_user, "[Local Message] waiting gpt response."))
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print('[1] yield chatbot, history')
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yield chatbot, history, '正常'
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if not fast_debug:
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msg = '正常'
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# ** gpt request **
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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
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print('[2] end gpt req')
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chatbot[-1] = (i_say_show_user, gpt_say)
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history.append(i_say_show_user); history.append(gpt_say)
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print('[3] yield chatbot, history')
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yield chatbot, history, msg
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print('[4] next')
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if not fast_debug: time.sleep(2)
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all_file = ', '.join([os.path.relpath(fp, project_folder) for index, fp in enumerate(file_manifest)])
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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}）。'
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chatbot.append((i_say, "[Local Message] waiting gpt response."))
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yield chatbot, history, '正常'
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if not fast_debug:
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msg = '正常'
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# ** gpt request **
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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
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chatbot[-1] = (i_say, gpt_say)
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history.append(i_say); history.append(gpt_say)
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yield chatbot, history, msg
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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 chatbot, history, msg
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@CatchException
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def 批量总结PDF文档(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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import glob, os
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# 基本信息：功能、贡献者
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chatbot.append([
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"函数插件功能？",
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"批量总结PDF文档。函数插件贡献者: ValeriaWong，Eralien"])
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yield chatbot, history, '正常'
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# 尝试导入依赖，如果缺少依赖，则给出安装建议
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try:
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import fitz
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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 pymupdf```。")
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yield chatbot, history, '正常'
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return
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# 清空历史，以免输入溢出
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history = []
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# 检测输入参数，如没有给定输入参数，直接退出
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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 chatbot, history, '正常'
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return
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# 搜索需要处理的文件清单
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file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.pdf', recursive=True)] # + \
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# [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] + \
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# [f for f in glob.glob(f'{project_folder}/**/*.cpp', recursive=True)] + \
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# [f for f in glob.glob(f'{project_folder}/**/*.c', recursive=True)]
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# 如果没找到任何文件
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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.tex或.pdf文件: {txt}")
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yield chatbot, history, '正常'
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return
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# 开始正式执行任务
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yield from 解析PDF(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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