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from toolbox import CatchException, report_exception, 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 | |
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 | |
# 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') | |
if len(file_manifest) > 0: | |
# 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_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 nougat-ocr tiktoken```。") | |
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
return | |
success_mmd, file_manifest_mmd, _ = get_files_from_everything(txt, type='.mmd') | |
success = success or success_mmd | |
file_manifest += file_manifest_mmd | |
chatbot.append(["文件列表:", ", ".join([e.split('/')[-1] for e in file_manifest])]); | |
yield from update_ui( chatbot=chatbot, history=history) | |
# 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_exception(chatbot, history, | |
a=f"解析项目: {txt}", b=f"找不到任何.pdf拓展名的文件: {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 | |
from crazy_functions.pdf_fns.report_gen_html import construct_html | |
nougat_handle = nougat_interface() | |
for index, fp in enumerate(file_manifest): | |
if fp.endswith('pdf'): | |
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) | |
else: | |
chatbot.append(["当前论文无需解析:", fp]); yield from update_ui( chatbot=chatbot, history=history) | |
fpp = fp | |
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 | |