288 lines
15 KiB
Python
288 lines
15 KiB
Python
from toolbox import CatchException, report_exception, get_log_folder, gen_time_str, check_packages
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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, get_conf, extract_archive
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from toolbox import get_upload_folder, zip_folder
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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 os
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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, user_request):
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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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# 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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check_packages(["fitz", "tiktoken", "scipdf"])
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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 pymupdf tiktoken scipdf_parser```。")
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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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# 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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# 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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DOC2X_API_KEY = get_conf("DOC2X_API_KEY")
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if len(DOC2X_API_KEY) != 0:
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yield from 解析PDF_DOC2X(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, DOC2X_API_KEY, user_request)
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return
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grobid_url = get_avail_grobid_url()
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if grobid_url is not None:
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yield from 解析PDF_基于GROBID(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, grobid_url)
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return
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else:
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yield from update_ui_lastest_msg("GROBID服务不可用，请检查config中的GROBID_URL。作为替代，现在将执行效果稍差的旧版代码。", chatbot, history, delay=3)
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yield from 解析PDF(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
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return
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def 解析PDF_DOC2X_单文件(fp, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, DOC2X_API_KEY, user_request):
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def pdf2markdown(filepath):
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import requests, json, os
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markdown_dir = get_log_folder(plugin_name="pdf_ocr")
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doc2x_api_key = DOC2X_API_KEY
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url = "https://api.doc2x.noedgeai.com/api/v1/pdf"
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chatbot.append((None, "加载PDF文件，发送至DOC2X解析..."))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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res = requests.post(
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url,
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files={"file": open(filepath, "rb")},
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data={"ocr": "1"},
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headers={"Authorization": "Bearer " + doc2x_api_key}
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)
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res_json = []
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if res.status_code == 200:
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decoded = res.content.decode("utf-8")
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for z_decoded in decoded.split('\n'):
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if len(z_decoded) == 0: continue
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assert z_decoded.startswith("data: ")
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z_decoded = z_decoded[len("data: "):]
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decoded_json = json.loads(z_decoded)
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res_json.append(decoded_json)
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else:
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raise RuntimeError(format("[ERROR] status code: %d, body: %s" % (res.status_code, res.text)))
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uuid = res_json[0]['uuid']
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to = "md" # latex, md, docx
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url = "https://api.doc2x.noedgeai.com/api/export"+"?request_id="+uuid+"&to="+to
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chatbot.append((None, f"读取解析: {url} ..."))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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res = requests.get(url, headers={"Authorization": "Bearer " + doc2x_api_key})
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md_zip_path = os.path.join(markdown_dir, gen_time_str() + '.zip')
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if res.status_code == 200:
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with open(md_zip_path, "wb") as f: f.write(res.content)
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else:
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raise RuntimeError(format("[ERROR] status code: %d, body: %s" % (res.status_code, res.text)))
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promote_file_to_downloadzone(md_zip_path, chatbot=chatbot)
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chatbot.append((None, f"完成解析 {md_zip_path} ..."))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return md_zip_path
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def deliver_to_markdown_plugin(md_zip_path, user_request):
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from crazy_functions.批量Markdown翻译 import Markdown英译中
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import shutil
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time_tag = gen_time_str()
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target_path_base = get_log_folder(chatbot.get_user())
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file_origin_name = os.path.basename(md_zip_path)
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this_file_path = os.path.join(target_path_base, file_origin_name)
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os.makedirs(target_path_base, exist_ok=True)
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shutil.copyfile(md_zip_path, this_file_path)
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ex_folder = this_file_path + ".extract"
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extract_archive(
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file_path=this_file_path, dest_dir=ex_folder
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)
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chatbot.append((None, f"调用Markdown插件 {ex_folder} ..."))
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plugin_kwargs['markdown_expected_output_dir'] = ex_folder
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translated_f_name = 'translated_markdown.md'
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generated_fp = plugin_kwargs['markdown_expected_output_path'] = os.path.join(ex_folder, translated_f_name)
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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yield from Markdown英译中(ex_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request)
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if os.path.exists(generated_fp):
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# 修正一些公式问题
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with open(generated_fp, 'r', encoding='utf8') as f:
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content = f.read()
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# 将公式中的\[ \]替换成$$
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content = content.replace(r'\[', r'$$').replace(r'\]', r'$$')
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# 将公式中的\( \)替换成$
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content = content.replace(r'\(', r'$').replace(r'\)', r'$')
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content = content.replace('```', '\n').replace('```markdown', '\n')
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with open(generated_fp, 'w', encoding='utf8') as f:
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f.write(content)
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# 生成包含图片的压缩包
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dest_folder = get_log_folder(chatbot.get_user())
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zip_name = '翻译后的带图文档.zip'
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zip_folder(source_folder=ex_folder, dest_folder=dest_folder, zip_name=zip_name)
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zip_fp = os.path.join(dest_folder, zip_name)
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# 生成在线预览html
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file_name = '在线预览翻译' + gen_time_str() + '.html'
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with open('crazy_functions/pdf_fns/report_template_v2.html', 'r', encoding='utf8') as f:
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html_template = f.read()
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html_template = html_template.replace("{MARKDOWN_FILE_PATH}", translated_f_name)
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preview_fp = os.path.join(ex_folder, file_name)
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with open(preview_fp, 'w', encoding='utf8') as f:
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f.write(html_template)
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promote_file_to_downloadzone(preview_fp, chatbot=chatbot)
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promote_file_to_downloadzone(zip_fp, chatbot=chatbot)
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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md_zip_path = yield from pdf2markdown(fp)
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yield from deliver_to_markdown_plugin(md_zip_path, user_request)
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def 解析PDF_DOC2X(file_manifest, *args):
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for index, fp in enumerate(file_manifest):
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yield from 解析PDF_DOC2X_单文件(fp, *args)
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return
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def 解析PDF_基于GROBID(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, grobid_url):
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import copy, json
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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.pdf_fns.report_gen_html import construct_html
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for index, fp in enumerate(file_manifest):
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chatbot.append(["当前进度：", f"正在连接GROBID服务，请稍候: {grobid_url}\n如果等待时间过长，请修改config中的GROBID_URL，可修改成本地GROBID服务。"]); yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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article_dict = parse_pdf(fp, grobid_url)
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grobid_json_res = os.path.join(get_log_folder(), gen_time_str() + "grobid.json")
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with open(grobid_json_res, 'w+', encoding='utf8') as f:
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f.write(json.dumps(article_dict, indent=4, ensure_ascii=False))
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promote_file_to_downloadzone(grobid_json_res, chatbot=chatbot)
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if article_dict is None: raise RuntimeError("解析PDF失败，请检查PDF是否损坏。")
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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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def 解析PDF(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt):
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"""
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此函数已经弃用
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"""
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import copy
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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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from crazy_functions.pdf_fns.report_gen_html import construct_html
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for index, fp in enumerate(file_manifest):
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# 读取PDF文件
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file_content, page_one = read_and_clean_pdf_text(fp)
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file_content = file_content.encode('utf-8', 'ignore').decode() # avoid reading non-utf8 chars
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page_one = str(page_one).encode('utf-8', 'ignore').decode() # avoid reading non-utf8 chars
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# 递归地切割PDF文件
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from crazy_functions.pdf_fns.breakdown_txt import breakdown_text_to_satisfy_token_limit
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paper_fragments = breakdown_text_to_satisfy_token_limit(txt=file_content, limit=TOKEN_LIMIT_PER_FRAGMENT, llm_model=llm_kwargs['llm_model'])
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page_one_fragments = breakdown_text_to_satisfy_token_limit(txt=page_one, limit=TOKEN_LIMIT_PER_FRAGMENT//4, llm_model=llm_kwargs['llm_model'])
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# 为了更好的效果，我们剥离Introduction之后的部分（如果有）
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paper_meta = page_one_fragments[0].split('introduction')[0].split('Introduction')[0].split('INTRODUCTION')[0]
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# 单线，获取文章meta信息
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paper_meta_info = yield from request_gpt_model_in_new_thread_with_ui_alive(
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inputs=f"以下是一篇学术论文的基础信息，请从中提取出“标题”、“收录会议或期刊”、“作者”、“摘要”、“编号”、“作者邮箱”这六个部分。请用markdown格式输出，最后用中文翻译摘要部分。请提取：{paper_meta}",
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inputs_show_user=f"请从{fp}中提取出“标题”、“收录会议或期刊”等基本信息。",
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llm_kwargs=llm_kwargs,
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chatbot=chatbot, history=[],
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sys_prompt="Your job is to collect information from materials。",
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)
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# 多线，翻译
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gpt_response_collection = yield from request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
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inputs_array=[
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f"你需要翻译以下内容：\n{frag}" for frag in paper_fragments],
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inputs_show_user_array=[f"\n---\n 原文： \n\n {frag.replace('#', '')} \n---\n 翻译：\n " for frag in paper_fragments],
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llm_kwargs=llm_kwargs,
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chatbot=chatbot,
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history_array=[[paper_meta] for _ in paper_fragments],
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sys_prompt_array=[
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"请你作为一个学术翻译，负责把学术论文准确翻译成中文。注意文章中的每一句话都要翻译。" for _ in paper_fragments],
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# max_workers=5 # OpenAI所允许的最大并行过载
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)
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gpt_response_collection_md = copy.deepcopy(gpt_response_collection)
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# 整理报告的格式
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for i,k in enumerate(gpt_response_collection_md):
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if i%2==0:
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gpt_response_collection_md[i] = f"\n\n---\n\n ## 原文[{i//2}/{len(gpt_response_collection_md)//2}]： \n\n {paper_fragments[i//2].replace('#', '')} \n\n---\n\n ## 翻译[{i//2}/{len(gpt_response_collection_md)//2}]：\n "
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else:
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gpt_response_collection_md[i] = gpt_response_collection_md[i]
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final = ["一、论文概况\n\n---\n\n", paper_meta_info.replace('# ', '### ') + '\n\n---\n\n', "二、论文翻译", ""]
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final.extend(gpt_response_collection_md)
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create_report_file_name = f"{os.path.basename(fp)}.trans.md"
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res = write_history_to_file(final, create_report_file_name)
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promote_file_to_downloadzone(res, chatbot=chatbot)
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# 更新UI
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generated_conclusion_files.append(f'{get_log_folder()}/{create_report_file_name}')
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chatbot.append((f"{fp}完成了吗？", res))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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# write html
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try:
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ch = construct_html()
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orig = ""
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trans = ""
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gpt_response_collection_html = copy.deepcopy(gpt_response_collection)
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for i,k in enumerate(gpt_response_collection_html):
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if i%2==0:
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gpt_response_collection_html[i] = paper_fragments[i//2].replace('#', '')
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else:
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gpt_response_collection_html[i] = gpt_response_collection_html[i]
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final = ["论文概况", paper_meta_info.replace('# ', '### '), "二、论文翻译", ""]
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final.extend(gpt_response_collection_html)
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for i, k in enumerate(final):
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if i%2==0:
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orig = k
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if i%2==1:
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trans = k
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ch.add_row(a=orig, b=trans)
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create_report_file_name = f"{os.path.basename(fp)}.trans.html"
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generated_html_files.append(ch.save_file(create_report_file_name))
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except:
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from toolbox import trimmed_format_exc
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print('writing html result failed:', trimmed_format_exc())
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# 准备文件的下载
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for pdf_path in generated_conclusion_files:
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# 重命名文件
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rename_file = f'翻译-{os.path.basename(pdf_path)}'
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promote_file_to_downloadzone(pdf_path, rename_file=rename_file, chatbot=chatbot)
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for html_path in generated_html_files:
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# 重命名文件
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rename_file = f'翻译-{os.path.basename(html_path)}'
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promote_file_to_downloadzone(html_path, rename_file=rename_file, chatbot=chatbot)
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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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