126 lines
5.4 KiB
Python
126 lines
5.4 KiB
Python
from toolbox import CatchException, report_exception, get_log_folder, gen_time_str
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from toolbox import update_ui, promote_file_to_downloadzone, update_ui_lastest_msg, disable_auto_promotion
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from toolbox import write_history_to_file, promote_file_to_downloadzone
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from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
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from .crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency
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from .crazy_utils import read_and_clean_pdf_text
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from .pdf_fns.parse_pdf import parse_pdf, get_avail_grobid_url, translate_pdf
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from colorful import *
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import copy
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import os
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import math
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import logging
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def markdown_to_dict(article_content):
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import markdown
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from bs4 import BeautifulSoup
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cur_t = ""
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cur_c = ""
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results = {}
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for line in article_content:
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if line.startswith('#'):
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if cur_t!="":
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if cur_t not in results:
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results.update({cur_t:cur_c.lstrip('\n')})
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else:
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# 处理重名的章节
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results.update({cur_t + " " + gen_time_str():cur_c.lstrip('\n')})
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cur_t = line.rstrip('\n')
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cur_c = ""
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else:
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cur_c += line
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results_final = {}
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for k in list(results.keys()):
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if k.startswith('# '):
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results_final['title'] = k.split('# ')[-1]
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results_final['authors'] = results.pop(k).lstrip('\n')
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if k.startswith('###### Abstract'):
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results_final['abstract'] = results.pop(k).lstrip('\n')
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results_final_sections = []
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for k,v in results.items():
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results_final_sections.append({
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'heading':k.lstrip("# "),
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'text':v if len(v) > 0 else f"The beginning of {k.lstrip('# ')} section."
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})
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results_final['sections'] = results_final_sections
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return results_final
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@CatchException
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def 批量翻译PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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disable_auto_promotion(chatbot)
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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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"批量翻译PDF文档。函数插件贡献者: Binary-Husky"])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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# 清空历史，以免输入溢出
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history = []
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from .crazy_utils import get_files_from_everything
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success, file_manifest, project_folder = get_files_from_everything(txt, type='.pdf')
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if len(file_manifest) > 0:
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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 nougat
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import tiktoken
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except:
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report_exception(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 nougat-ocr tiktoken```。")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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success_mmd, file_manifest_mmd, _ = get_files_from_everything(txt, type='.mmd')
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success = success or success_mmd
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file_manifest += file_manifest_mmd
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chatbot.append(["文件列表：", ", ".join([e.split('/')[-1] for e in file_manifest])]);
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yield from update_ui( chatbot=chatbot, history=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 not success:
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if txt == "": txt = '空空如也的输入栏'
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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_exception(chatbot, history,
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a=f"解析项目: {txt}", b=f"找不到任何.pdf拓展名的文件: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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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_基于NOUGAT(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
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def 解析PDF_基于NOUGAT(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt):
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import copy
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import tiktoken
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TOKEN_LIMIT_PER_FRAGMENT = 1024
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generated_conclusion_files = []
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generated_html_files = []
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DST_LANG = "中文"
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from crazy_functions.crazy_utils import nougat_interface
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from crazy_functions.pdf_fns.report_gen_html import construct_html
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nougat_handle = nougat_interface()
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for index, fp in enumerate(file_manifest):
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if fp.endswith('pdf'):
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chatbot.append(["当前进度：", f"正在解析论文，请稍候。（第一次运行时，需要花费较长时间下载NOUGAT参数）"]); yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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fpp = yield from nougat_handle.NOUGAT_parse_pdf(fp, chatbot, history)
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promote_file_to_downloadzone(fpp, rename_file=os.path.basename(fpp)+'.nougat.mmd', chatbot=chatbot)
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else:
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chatbot.append(["当前论文无需解析：", fp]); yield from update_ui( chatbot=chatbot, history=history)
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fpp = fp
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with open(fpp, 'r', encoding='utf8') as f:
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article_content = f.readlines()
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article_dict = markdown_to_dict(article_content)
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logging.info(article_dict)
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yield from translate_pdf(article_dict, llm_kwargs, chatbot, fp, generated_conclusion_files, TOKEN_LIMIT_PER_FRAGMENT, DST_LANG)
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chatbot.append(("给出输出文件清单", str(generated_conclusion_files + generated_html_files)))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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