crazy_functions/批量翻译PDF文档_NOUGAT.py

from toolbox import CatchException, report_execption, get_log_folder, gen_time_str
from toolbox import update_ui, promote_file_to_downloadzone, update_ui_lastest_msg, disable_auto_promotion
from toolbox import write_history_to_file, promote_file_to_downloadzone
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
from .crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency
from .crazy_utils import read_and_clean_pdf_text
from .pdf_fns.parse_pdf import parse_pdf, get_avail_grobid_url, translate_pdf
from colorful import *
import copy
import os
import math
import logging

def markdown_to_dict(article_content):
    import markdown
    from bs4 import BeautifulSoup
    cur_t = ""
    cur_c = ""
    results = {}
    for line in article_content:
        if line.startswith('#'):
            if cur_t!="":
                if cur_t not in results:
                    results.update({cur_t:cur_c.lstrip('\n')})
                else:
                    # 处理重名的章节
                    results.update({cur_t + " " + gen_time_str():cur_c.lstrip('\n')})
            cur_t = line.rstrip('\n')
            cur_c = ""
        else:
            cur_c += line
    results_final = {}
    for k in list(results.keys()):
        if k.startswith('# '):
            results_final['title'] = k.split('# ')[-1]
            results_final['authors'] = results.pop(k).lstrip('\n')
        if k.startswith('###### Abstract'):
            results_final['abstract'] = results.pop(k).lstrip('\n')

    results_final_sections = []
    for k,v in results.items():
        results_final_sections.append({
            'heading':k.lstrip("# "),
            'text':v if len(v) > 0 else f"The beginning of {k.lstrip('# ')} section."
        })
    results_final['sections'] = results_final_sections
    return results_final


@CatchException
def 批量翻译PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):

    disable_auto_promotion(chatbot)
    # 基本信息：功能、贡献者
    chatbot.append([
        "函数插件功能？",
        "批量翻译PDF文档。函数插件贡献者: Binary-Husky"])
    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:
        import nougat
        import tiktoken
    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 nougat-ocr tiktoken```。")
        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
        return

    # 清空历史，以免输入溢出
    history = []

    from .crazy_utils import get_files_from_everything
    success, file_manifest, project_folder = get_files_from_everything(txt, type='.pdf')
    # 检测输入参数，如没有给定输入参数，直接退出
    if not success:
        if txt == "": txt = '空空如也的输入栏'

    # 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.tex或.pdf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PDF_基于NOUGAT(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)




def 解析PDF_基于NOUGAT(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt):
    import copy
    import tiktoken
    TOKEN_LIMIT_PER_FRAGMENT = 1024
    generated_conclusion_files = []
    generated_html_files = []
    DST_LANG = "中文"
    from crazy_functions.crazy_utils import nougat_interface, construct_html
    nougat_handle = nougat_interface()
    for index, fp in enumerate(file_manifest):
        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
        fpp = yield from nougat_handle.NOUGAT_parse_pdf(fp, chatbot, history)
        promote_file_to_downloadzone(fpp, rename_file=os.path.basename(fpp)+'.nougat.mmd', chatbot=chatbot)
        with open(fpp, 'r', encoding='utf8') as f:
            article_content = f.readlines()
        article_dict = markdown_to_dict(article_content)
        logging.info(article_dict)
        yield from translate_pdf(article_dict, llm_kwargs, chatbot, fp, generated_conclusion_files, TOKEN_LIMIT_PER_FRAGMENT, DST_LANG)

    chatbot.append(("给出输出文件清单", str(generated_conclusion_files + generated_html_files)))
    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面