448 lines
24 KiB
Python
448 lines
24 KiB
Python
from toolbox import update_ui, update_ui_lastest_msg, get_log_folder
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from toolbox import zip_folder, objdump, objload, promote_file_to_downloadzone
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from .latex_toolbox import PRESERVE, TRANSFORM
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from .latex_toolbox import set_forbidden_text, set_forbidden_text_begin_end, set_forbidden_text_careful_brace
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from .latex_toolbox import reverse_forbidden_text_careful_brace, reverse_forbidden_text, convert_to_linklist, post_process
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from .latex_toolbox import fix_content, find_main_tex_file, merge_tex_files, compile_latex_with_timeout
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import os, shutil
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import re
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import numpy as np
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pj = os.path.join
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def split_subprocess(txt, project_folder, return_dict, opts):
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"""
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break down latex file to a linked list,
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each node use a preserve flag to indicate whether it should
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be proccessed by GPT.
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"""
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text = txt
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mask = np.zeros(len(txt), dtype=np.uint8) + TRANSFORM
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# 吸收title与作者以上的部分
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text, mask = set_forbidden_text(text, mask, r"^(.*?)\\maketitle", re.DOTALL)
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text, mask = set_forbidden_text(text, mask, r"^(.*?)\\begin{document}", re.DOTALL)
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# 吸收iffalse注释
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text, mask = set_forbidden_text(text, mask, r"\\iffalse(.*?)\\fi", re.DOTALL)
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# 吸收在42行以内的begin-end组合
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text, mask = set_forbidden_text_begin_end(text, mask, r"\\begin\{([a-z\*]*)\}(.*?)\\end\{\1\}", re.DOTALL, limit_n_lines=42)
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# 吸收匿名公式
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text, mask = set_forbidden_text(text, mask, [ r"\$\$([^$]+)\$\$", r"\\\[.*?\\\]" ], re.DOTALL)
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# 吸收其他杂项
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text, mask = set_forbidden_text(text, mask, [ r"\\section\{(.*?)\}", r"\\section\*\{(.*?)\}", r"\\subsection\{(.*?)\}", r"\\subsubsection\{(.*?)\}" ])
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text, mask = set_forbidden_text(text, mask, [ r"\\bibliography\{(.*?)\}", r"\\bibliographystyle\{(.*?)\}" ])
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text, mask = set_forbidden_text(text, mask, r"\\begin\{thebibliography\}.*?\\end\{thebibliography\}", re.DOTALL)
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text, mask = set_forbidden_text(text, mask, r"\\begin\{lstlisting\}(.*?)\\end\{lstlisting\}", re.DOTALL)
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text, mask = set_forbidden_text(text, mask, r"\\begin\{wraptable\}(.*?)\\end\{wraptable\}", re.DOTALL)
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text, mask = set_forbidden_text(text, mask, r"\\begin\{algorithm\}(.*?)\\end\{algorithm\}", re.DOTALL)
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text, mask = set_forbidden_text(text, mask, [r"\\begin\{wrapfigure\}(.*?)\\end\{wrapfigure\}", r"\\begin\{wrapfigure\*\}(.*?)\\end\{wrapfigure\*\}"], re.DOTALL)
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text, mask = set_forbidden_text(text, mask, [r"\\begin\{figure\}(.*?)\\end\{figure\}", r"\\begin\{figure\*\}(.*?)\\end\{figure\*\}"], re.DOTALL)
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text, mask = set_forbidden_text(text, mask, [r"\\begin\{multline\}(.*?)\\end\{multline\}", r"\\begin\{multline\*\}(.*?)\\end\{multline\*\}"], re.DOTALL)
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text, mask = set_forbidden_text(text, mask, [r"\\begin\{table\}(.*?)\\end\{table\}", r"\\begin\{table\*\}(.*?)\\end\{table\*\}"], re.DOTALL)
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text, mask = set_forbidden_text(text, mask, [r"\\begin\{minipage\}(.*?)\\end\{minipage\}", r"\\begin\{minipage\*\}(.*?)\\end\{minipage\*\}"], re.DOTALL)
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text, mask = set_forbidden_text(text, mask, [r"\\begin\{align\*\}(.*?)\\end\{align\*\}", r"\\begin\{align\}(.*?)\\end\{align\}"], re.DOTALL)
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text, mask = set_forbidden_text(text, mask, [r"\\begin\{equation\}(.*?)\\end\{equation\}", r"\\begin\{equation\*\}(.*?)\\end\{equation\*\}"], re.DOTALL)
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text, mask = set_forbidden_text(text, mask, [r"\\includepdf\[(.*?)\]\{(.*?)\}", r"\\clearpage", r"\\newpage", r"\\appendix", r"\\tableofcontents", r"\\include\{(.*?)\}"])
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text, mask = set_forbidden_text(text, mask, [r"\\vspace\{(.*?)\}", r"\\hspace\{(.*?)\}", r"\\label\{(.*?)\}", r"\\begin\{(.*?)\}", r"\\end\{(.*?)\}", r"\\item "])
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text, mask = set_forbidden_text_careful_brace(text, mask, r"\\hl\{(.*?)\}", re.DOTALL)
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# reverse 操作必须放在最后
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text, mask = reverse_forbidden_text_careful_brace(text, mask, r"\\caption\{(.*?)\}", re.DOTALL, forbid_wrapper=True)
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text, mask = reverse_forbidden_text_careful_brace(text, mask, r"\\abstract\{(.*?)\}", re.DOTALL, forbid_wrapper=True)
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text, mask = reverse_forbidden_text(text, mask, r"\\begin\{abstract\}(.*?)\\end\{abstract\}", re.DOTALL, forbid_wrapper=True)
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root = convert_to_linklist(text, mask)
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# 最后一步处理，增强稳健性
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root = post_process(root)
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# 输出html调试文件，用红色标注处保留区（PRESERVE），用黑色标注转换区（TRANSFORM）
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with open(pj(project_folder, 'debug_log.html'), 'w', encoding='utf8') as f:
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segment_parts_for_gpt = []
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nodes = []
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node = root
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while True:
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nodes.append(node)
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show_html = node.string.replace('\n','<br/>')
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if not node.preserve:
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segment_parts_for_gpt.append(node.string)
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f.write(f'<p style="color:black;">#{node.range}{show_html}#</p>')
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else:
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f.write(f'<p style="color:red;">{show_html}</p>')
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node = node.next
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if node is None: break
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for n in nodes: n.next = None # break
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return_dict['nodes'] = nodes
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return_dict['segment_parts_for_gpt'] = segment_parts_for_gpt
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return return_dict
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class LatexPaperSplit():
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"""
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break down latex file to a linked list,
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each node use a preserve flag to indicate whether it should
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be proccessed by GPT.
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"""
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def __init__(self) -> None:
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self.nodes = None
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self.msg = "*{\\scriptsize\\textbf{警告：该PDF由GPT-Academic开源项目调用大语言模型+Latex翻译插件一键生成，" + \
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"版权归原文作者所有。翻译内容可靠性无保障，请仔细鉴别并以原文为准。" + \
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"项目Github地址 \\url{https://github.com/binary-husky/gpt_academic/}。"
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# 请您不要删除或修改这行警告，除非您是论文的原作者（如果您是论文原作者，欢迎加REAME中的QQ联系开发者）
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self.msg_declare = "为了防止大语言模型的意外谬误产生扩散影响，禁止移除或修改此警告。}}\\\\"
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def merge_result(self, arr, mode, msg, buggy_lines=[], buggy_line_surgery_n_lines=10):
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"""
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Merge the result after the GPT process completed
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"""
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result_string = ""
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node_cnt = 0
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line_cnt = 0
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for node in self.nodes:
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if node.preserve:
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line_cnt += node.string.count('\n')
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result_string += node.string
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else:
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translated_txt = fix_content(arr[node_cnt], node.string)
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begin_line = line_cnt
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end_line = line_cnt + translated_txt.count('\n')
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# reverse translation if any error
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if any([begin_line-buggy_line_surgery_n_lines <= b_line <= end_line+buggy_line_surgery_n_lines for b_line in buggy_lines]):
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translated_txt = node.string
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result_string += translated_txt
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node_cnt += 1
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line_cnt += translated_txt.count('\n')
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if mode == 'translate_zh':
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pattern = re.compile(r'\\begin\{abstract\}.*\n')
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match = pattern.search(result_string)
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if not match:
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# match \abstract{xxxx}
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pattern_compile = re.compile(r"\\abstract\{(.*?)\}", flags=re.DOTALL)
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match = pattern_compile.search(result_string)
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position = match.regs[1][0]
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else:
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# match \begin{abstract}xxxx\end{abstract}
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position = match.end()
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result_string = result_string[:position] + self.msg + msg + self.msg_declare + result_string[position:]
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return result_string
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def split(self, txt, project_folder, opts):
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"""
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break down latex file to a linked list,
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each node use a preserve flag to indicate whether it should
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be proccessed by GPT.
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P.S. use multiprocessing to avoid timeout error
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"""
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import multiprocessing
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manager = multiprocessing.Manager()
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return_dict = manager.dict()
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p = multiprocessing.Process(
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target=split_subprocess,
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args=(txt, project_folder, return_dict, opts))
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p.start()
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p.join()
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p.close()
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self.nodes = return_dict['nodes']
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self.sp = return_dict['segment_parts_for_gpt']
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return self.sp
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class LatexPaperFileGroup():
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"""
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use tokenizer to break down text according to max_token_limit
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"""
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def __init__(self):
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self.file_paths = []
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self.file_contents = []
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self.sp_file_contents = []
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self.sp_file_index = []
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self.sp_file_tag = []
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# count_token
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from request_llm.bridge_all import model_info
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enc = model_info["gpt-3.5-turbo"]['tokenizer']
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def get_token_num(txt): return len(enc.encode(txt, disallowed_special=()))
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self.get_token_num = get_token_num
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def run_file_split(self, max_token_limit=1900):
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"""
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use tokenizer to break down text according to max_token_limit
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"""
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for index, file_content in enumerate(self.file_contents):
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if self.get_token_num(file_content) < max_token_limit:
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self.sp_file_contents.append(file_content)
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self.sp_file_index.append(index)
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self.sp_file_tag.append(self.file_paths[index])
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else:
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from ..crazy_utils import breakdown_txt_to_satisfy_token_limit_for_pdf
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segments = breakdown_txt_to_satisfy_token_limit_for_pdf(file_content, self.get_token_num, max_token_limit)
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for j, segment in enumerate(segments):
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self.sp_file_contents.append(segment)
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self.sp_file_index.append(index)
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self.sp_file_tag.append(self.file_paths[index] + f".part-{j}.tex")
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print('Segmentation: done')
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def merge_result(self):
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self.file_result = ["" for _ in range(len(self.file_paths))]
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for r, k in zip(self.sp_file_result, self.sp_file_index):
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self.file_result[k] += r
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def write_result(self):
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manifest = []
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for path, res in zip(self.file_paths, self.file_result):
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with open(path + '.polish.tex', 'w', encoding='utf8') as f:
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manifest.append(path + '.polish.tex')
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f.write(res)
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return manifest
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def Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, mode='proofread', switch_prompt=None, opts=[]):
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import time, os, re
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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 .latex_actions import LatexPaperFileGroup, LatexPaperSplit
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# <-------- 寻找主tex文件 ---------->
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maintex = find_main_tex_file(file_manifest, mode)
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chatbot.append((f"定位主Latex文件", f'[Local Message] 分析结果：该项目的Latex主文件是{maintex}, 如果分析错误, 请立即终止程序, 删除或修改歧义文件, 然后重试。主程序即将开始, 请稍候。'))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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time.sleep(3)
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# <-------- 读取Latex文件, 将多文件tex工程融合为一个巨型tex ---------->
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main_tex_basename = os.path.basename(maintex)
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assert main_tex_basename.endswith('.tex')
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main_tex_basename_bare = main_tex_basename[:-4]
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may_exist_bbl = pj(project_folder, f'{main_tex_basename_bare}.bbl')
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if os.path.exists(may_exist_bbl):
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shutil.copyfile(may_exist_bbl, pj(project_folder, f'merge.bbl'))
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shutil.copyfile(may_exist_bbl, pj(project_folder, f'merge_{mode}.bbl'))
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shutil.copyfile(may_exist_bbl, pj(project_folder, f'merge_diff.bbl'))
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with open(maintex, 'r', encoding='utf-8', errors='replace') as f:
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content = f.read()
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merged_content = merge_tex_files(project_folder, content, mode)
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with open(project_folder + '/merge.tex', 'w', encoding='utf-8', errors='replace') as f:
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f.write(merged_content)
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# <-------- 精细切分latex文件 ---------->
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chatbot.append((f"Latex文件融合完成", f'[Local Message] 正在精细切分latex文件，这需要一段时间计算，文档越长耗时越长，请耐心等待。'))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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lps = LatexPaperSplit()
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res = lps.split(merged_content, project_folder, opts) # 消耗时间的函数
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# <-------- 拆分过长的latex片段 ---------->
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pfg = LatexPaperFileGroup()
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for index, r in enumerate(res):
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pfg.file_paths.append('segment-' + str(index))
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pfg.file_contents.append(r)
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pfg.run_file_split(max_token_limit=1024)
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n_split = len(pfg.sp_file_contents)
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# <-------- 根据需要切换prompt ---------->
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inputs_array, sys_prompt_array = switch_prompt(pfg, mode)
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inputs_show_user_array = [f"{mode} {f}" for f in pfg.sp_file_tag]
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if os.path.exists(pj(project_folder,'temp.pkl')):
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# <-------- 【仅调试】如果存在调试缓存文件，则跳过GPT请求环节 ---------->
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pfg = objload(file=pj(project_folder,'temp.pkl'))
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else:
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# <-------- gpt 多线程请求 ---------->
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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=inputs_array,
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inputs_show_user_array=inputs_show_user_array,
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llm_kwargs=llm_kwargs,
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chatbot=chatbot,
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history_array=[[""] for _ in range(n_split)],
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sys_prompt_array=sys_prompt_array,
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# max_workers=5, # 并行任务数量限制, 最多同时执行5个, 其他的排队等待
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scroller_max_len = 40
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)
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# <-------- 文本碎片重组为完整的tex片段 ---------->
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pfg.sp_file_result = []
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for i_say, gpt_say, orig_content in zip(gpt_response_collection[0::2], gpt_response_collection[1::2], pfg.sp_file_contents):
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pfg.sp_file_result.append(gpt_say)
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pfg.merge_result()
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# <-------- 临时存储用于调试 ---------->
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pfg.get_token_num = None
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objdump(pfg, file=pj(project_folder,'temp.pkl'))
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write_html(pfg.sp_file_contents, pfg.sp_file_result, chatbot=chatbot, project_folder=project_folder)
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# <-------- 写出文件 ---------->
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msg = f"当前大语言模型: {llm_kwargs['llm_model']}，当前语言模型温度设定: {llm_kwargs['temperature']}。"
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final_tex = lps.merge_result(pfg.file_result, mode, msg)
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objdump((lps, pfg.file_result, mode, msg), file=pj(project_folder,'merge_result.pkl'))
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with open(project_folder + f'/merge_{mode}.tex', 'w', encoding='utf-8', errors='replace') as f:
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if mode != 'translate_zh' or "binary" in final_tex: f.write(final_tex)
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# <-------- 整理结果, 退出 ---------->
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chatbot.append((f"完成了吗？", 'GPT结果已输出, 即将编译PDF'))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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# <-------- 返回 ---------->
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return project_folder + f'/merge_{mode}.tex'
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def remove_buggy_lines(file_path, log_path, tex_name, tex_name_pure, n_fix, work_folder_modified, fixed_line=[]):
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try:
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with open(log_path, 'r', encoding='utf-8', errors='replace') as f:
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log = f.read()
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import re
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buggy_lines = re.findall(tex_name+':([0-9]{1,5}):', log)
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buggy_lines = [int(l) for l in buggy_lines]
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buggy_lines = sorted(buggy_lines)
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buggy_line = buggy_lines[0]-1
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print("reversing tex line that has errors", buggy_line)
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# 重组，逆转出错的段落
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if buggy_line not in fixed_line:
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fixed_line.append(buggy_line)
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lps, file_result, mode, msg = objload(file=pj(work_folder_modified,'merge_result.pkl'))
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final_tex = lps.merge_result(file_result, mode, msg, buggy_lines=fixed_line, buggy_line_surgery_n_lines=5*n_fix)
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with open(pj(work_folder_modified, f"{tex_name_pure}_fix_{n_fix}.tex"), 'w', encoding='utf-8', errors='replace') as f:
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f.write(final_tex)
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return True, f"{tex_name_pure}_fix_{n_fix}", buggy_lines
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except:
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print("Fatal error occurred, but we cannot identify error, please download zip, read latex log, and compile manually.")
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return False, -1, [-1]
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def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_folder_original, work_folder_modified, work_folder, mode='default'):
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import os, time
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n_fix = 1
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fixed_line = []
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max_try = 32
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chatbot.append([f"正在编译PDF文档", f'编译已经开始。当前工作路径为{work_folder}，如果程序停顿5分钟以上，请直接去该路径下取回翻译结果，或者重启之后再度尝试 ...']); yield from update_ui(chatbot=chatbot, history=history)
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chatbot.append([f"正在编译PDF文档", '...']); yield from update_ui(chatbot=chatbot, history=history); time.sleep(1); chatbot[-1] = list(chatbot[-1]) # 刷新界面
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yield from update_ui_lastest_msg('编译已经开始...', chatbot, history) # 刷新Gradio前端界面
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while True:
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import os
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may_exist_bbl = pj(work_folder_modified, f'merge.bbl')
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target_bbl = pj(work_folder_modified, f'{main_file_modified}.bbl')
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if os.path.exists(may_exist_bbl) and not os.path.exists(target_bbl):
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shutil.copyfile(may_exist_bbl, target_bbl)
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# https://stackoverflow.com/questions/738755/dont-make-me-manually-abort-a-latex-compile-when-theres-an-error
|
||
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译原始PDF ...', chatbot, history) # 刷新Gradio前端界面
|
||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex', work_folder_original)
|
||
|
||
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译转化后的PDF ...', chatbot, history) # 刷新Gradio前端界面
|
||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex', work_folder_modified)
|
||
|
||
if ok and os.path.exists(pj(work_folder_modified, f'{main_file_modified}.pdf')):
|
||
# 只有第二步成功，才能继续下面的步骤
|
||
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译BibTex ...', chatbot, history) # 刷新Gradio前端界面
|
||
if not os.path.exists(pj(work_folder_original, f'{main_file_original}.bbl')):
|
||
ok = compile_latex_with_timeout(f'bibtex {main_file_original}.aux', work_folder_original)
|
||
if not os.path.exists(pj(work_folder_modified, f'{main_file_modified}.bbl')):
|
||
ok = compile_latex_with_timeout(f'bibtex {main_file_modified}.aux', work_folder_modified)
|
||
|
||
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译文献交叉引用 ...', chatbot, history) # 刷新Gradio前端界面
|
||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex', work_folder_original)
|
||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex', work_folder_modified)
|
||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex', work_folder_original)
|
||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex', work_folder_modified)
|
||
|
||
if mode!='translate_zh':
|
||
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 使用latexdiff生成论文转化前后对比 ...', chatbot, history) # 刷新Gradio前端界面
|
||
print( f'latexdiff --encoding=utf8 --append-safecmd=subfile {work_folder_original}/{main_file_original}.tex {work_folder_modified}/{main_file_modified}.tex --flatten > {work_folder}/merge_diff.tex')
|
||
ok = compile_latex_with_timeout(f'latexdiff --encoding=utf8 --append-safecmd=subfile {work_folder_original}/{main_file_original}.tex {work_folder_modified}/{main_file_modified}.tex --flatten > {work_folder}/merge_diff.tex', os.getcwd())
|
||
|
||
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 正在编译对比PDF ...', chatbot, history) # 刷新Gradio前端界面
|
||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex', work_folder)
|
||
ok = compile_latex_with_timeout(f'bibtex merge_diff.aux', work_folder)
|
||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex', work_folder)
|
||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex', work_folder)
|
||
|
||
# <---------- 检查结果 ----------->
|
||
results_ = ""
|
||
original_pdf_success = os.path.exists(pj(work_folder_original, f'{main_file_original}.pdf'))
|
||
modified_pdf_success = os.path.exists(pj(work_folder_modified, f'{main_file_modified}.pdf'))
|
||
diff_pdf_success = os.path.exists(pj(work_folder, f'merge_diff.pdf'))
|
||
results_ += f"原始PDF编译是否成功: {original_pdf_success};"
|
||
results_ += f"转化PDF编译是否成功: {modified_pdf_success};"
|
||
results_ += f"对比PDF编译是否成功: {diff_pdf_success};"
|
||
yield from update_ui_lastest_msg(f'第{n_fix}编译结束:<br/>{results_}...', chatbot, history) # 刷新Gradio前端界面
|
||
|
||
if diff_pdf_success:
|
||
result_pdf = pj(work_folder_modified, f'merge_diff.pdf') # get pdf path
|
||
promote_file_to_downloadzone(result_pdf, rename_file=None, chatbot=chatbot) # promote file to web UI
|
||
if modified_pdf_success:
|
||
yield from update_ui_lastest_msg(f'转化PDF编译已经成功, 即将退出 ...', chatbot, history) # 刷新Gradio前端界面
|
||
result_pdf = pj(work_folder_modified, f'{main_file_modified}.pdf') # get pdf path
|
||
origin_pdf = pj(work_folder_original, f'{main_file_original}.pdf') # get pdf path
|
||
if os.path.exists(pj(work_folder, '..', 'translation')):
|
||
shutil.copyfile(result_pdf, pj(work_folder, '..', 'translation', 'translate_zh.pdf'))
|
||
promote_file_to_downloadzone(result_pdf, rename_file=None, chatbot=chatbot) # promote file to web UI
|
||
# 将两个PDF拼接
|
||
if original_pdf_success:
|
||
try:
|
||
from .latex_toolbox import merge_pdfs
|
||
concat_pdf = pj(work_folder_modified, f'comparison.pdf')
|
||
merge_pdfs(origin_pdf, result_pdf, concat_pdf)
|
||
promote_file_to_downloadzone(concat_pdf, rename_file=None, chatbot=chatbot) # promote file to web UI
|
||
except Exception as e:
|
||
pass
|
||
return True # 成功啦
|
||
else:
|
||
if n_fix>=max_try: break
|
||
n_fix += 1
|
||
can_retry, main_file_modified, buggy_lines = remove_buggy_lines(
|
||
file_path=pj(work_folder_modified, f'{main_file_modified}.tex'),
|
||
log_path=pj(work_folder_modified, f'{main_file_modified}.log'),
|
||
tex_name=f'{main_file_modified}.tex',
|
||
tex_name_pure=f'{main_file_modified}',
|
||
n_fix=n_fix,
|
||
work_folder_modified=work_folder_modified,
|
||
fixed_line=fixed_line
|
||
)
|
||
yield from update_ui_lastest_msg(f'由于最为关键的转化PDF编译失败, 将根据报错信息修正tex源文件并重试, 当前报错的latex代码处于第{buggy_lines}行 ...', chatbot, history) # 刷新Gradio前端界面
|
||
if not can_retry: break
|
||
|
||
return False # 失败啦
|
||
|
||
|
||
def write_html(sp_file_contents, sp_file_result, chatbot, project_folder):
|
||
# write html
|
||
try:
|
||
import shutil
|
||
from ..crazy_utils import construct_html
|
||
from toolbox import gen_time_str
|
||
ch = construct_html()
|
||
orig = ""
|
||
trans = ""
|
||
final = []
|
||
for c,r in zip(sp_file_contents, sp_file_result):
|
||
final.append(c)
|
||
final.append(r)
|
||
for i, k in enumerate(final):
|
||
if i%2==0:
|
||
orig = k
|
||
if i%2==1:
|
||
trans = k
|
||
ch.add_row(a=orig, b=trans)
|
||
create_report_file_name = f"{gen_time_str()}.trans.html"
|
||
res = ch.save_file(create_report_file_name)
|
||
shutil.copyfile(res, pj(project_folder, create_report_file_name))
|
||
promote_file_to_downloadzone(file=res, chatbot=chatbot)
|
||
except:
|
||
from toolbox import trimmed_format_exc
|
||
print('writing html result failed:', trimmed_format_exc())
|