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from toolbox import update_ui, update_ui_lastest_msg, get_log_folder | |
from toolbox import get_conf, objdump, objload, promote_file_to_downloadzone | |
from .latex_toolbox import PRESERVE, TRANSFORM | |
from .latex_toolbox import set_forbidden_text, set_forbidden_text_begin_end, set_forbidden_text_careful_brace | |
from .latex_toolbox import reverse_forbidden_text_careful_brace, reverse_forbidden_text, convert_to_linklist, post_process | |
from .latex_toolbox import fix_content, find_main_tex_file, merge_tex_files, compile_latex_with_timeout | |
from .latex_toolbox import find_title_and_abs | |
import os, shutil | |
import re | |
import numpy as np | |
pj = os.path.join | |
def split_subprocess(txt, project_folder, return_dict, opts): | |
""" | |
break down latex file to a linked list, | |
each node use a preserve flag to indicate whether it should | |
be proccessed by GPT. | |
""" | |
text = txt | |
mask = np.zeros(len(txt), dtype=np.uint8) + TRANSFORM | |
# 吸收title与作者以上的部分 | |
text, mask = set_forbidden_text(text, mask, r"^(.*?)\\maketitle", re.DOTALL) | |
text, mask = set_forbidden_text(text, mask, r"^(.*?)\\begin{document}", re.DOTALL) | |
# 吸收iffalse注释 | |
text, mask = set_forbidden_text(text, mask, r"\\iffalse(.*?)\\fi", re.DOTALL) | |
# 吸收在42行以内的begin-end组合 | |
text, mask = set_forbidden_text_begin_end(text, mask, r"\\begin\{([a-z\*]*)\}(.*?)\\end\{\1\}", re.DOTALL, limit_n_lines=42) | |
# 吸收匿名公式 | |
text, mask = set_forbidden_text(text, mask, [ r"\$\$([^$]+)\$\$", r"\\\[.*?\\\]" ], re.DOTALL) | |
# 吸收其他杂项 | |
text, mask = set_forbidden_text(text, mask, [ r"\\section\{(.*?)\}", r"\\section\*\{(.*?)\}", r"\\subsection\{(.*?)\}", r"\\subsubsection\{(.*?)\}" ]) | |
text, mask = set_forbidden_text(text, mask, [ r"\\bibliography\{(.*?)\}", r"\\bibliographystyle\{(.*?)\}" ]) | |
text, mask = set_forbidden_text(text, mask, r"\\begin\{thebibliography\}.*?\\end\{thebibliography\}", re.DOTALL) | |
text, mask = set_forbidden_text(text, mask, r"\\begin\{lstlisting\}(.*?)\\end\{lstlisting\}", re.DOTALL) | |
text, mask = set_forbidden_text(text, mask, r"\\begin\{wraptable\}(.*?)\\end\{wraptable\}", re.DOTALL) | |
text, mask = set_forbidden_text(text, mask, r"\\begin\{algorithm\}(.*?)\\end\{algorithm\}", re.DOTALL) | |
text, mask = set_forbidden_text(text, mask, [r"\\begin\{wrapfigure\}(.*?)\\end\{wrapfigure\}", r"\\begin\{wrapfigure\*\}(.*?)\\end\{wrapfigure\*\}"], re.DOTALL) | |
text, mask = set_forbidden_text(text, mask, [r"\\begin\{figure\}(.*?)\\end\{figure\}", r"\\begin\{figure\*\}(.*?)\\end\{figure\*\}"], re.DOTALL) | |
text, mask = set_forbidden_text(text, mask, [r"\\begin\{multline\}(.*?)\\end\{multline\}", r"\\begin\{multline\*\}(.*?)\\end\{multline\*\}"], re.DOTALL) | |
text, mask = set_forbidden_text(text, mask, [r"\\begin\{table\}(.*?)\\end\{table\}", r"\\begin\{table\*\}(.*?)\\end\{table\*\}"], re.DOTALL) | |
text, mask = set_forbidden_text(text, mask, [r"\\begin\{minipage\}(.*?)\\end\{minipage\}", r"\\begin\{minipage\*\}(.*?)\\end\{minipage\*\}"], re.DOTALL) | |
text, mask = set_forbidden_text(text, mask, [r"\\begin\{align\*\}(.*?)\\end\{align\*\}", r"\\begin\{align\}(.*?)\\end\{align\}"], re.DOTALL) | |
text, mask = set_forbidden_text(text, mask, [r"\\begin\{equation\}(.*?)\\end\{equation\}", r"\\begin\{equation\*\}(.*?)\\end\{equation\*\}"], re.DOTALL) | |
text, mask = set_forbidden_text(text, mask, [r"\\includepdf\[(.*?)\]\{(.*?)\}", r"\\clearpage", r"\\newpage", r"\\appendix", r"\\tableofcontents", r"\\include\{(.*?)\}"]) | |
text, mask = set_forbidden_text(text, mask, [r"\\vspace\{(.*?)\}", r"\\hspace\{(.*?)\}", r"\\label\{(.*?)\}", r"\\begin\{(.*?)\}", r"\\end\{(.*?)\}", r"\\item "]) | |
text, mask = set_forbidden_text_careful_brace(text, mask, r"\\hl\{(.*?)\}", re.DOTALL) | |
# reverse 操作必须放在最后 | |
text, mask = reverse_forbidden_text_careful_brace(text, mask, r"\\caption\{(.*?)\}", re.DOTALL, forbid_wrapper=True) | |
text, mask = reverse_forbidden_text_careful_brace(text, mask, r"\\abstract\{(.*?)\}", re.DOTALL, forbid_wrapper=True) | |
text, mask = reverse_forbidden_text(text, mask, r"\\begin\{abstract\}(.*?)\\end\{abstract\}", re.DOTALL, forbid_wrapper=True) | |
root = convert_to_linklist(text, mask) | |
# 最后一步处理,增强稳健性 | |
root = post_process(root) | |
# 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) | |
with open(pj(project_folder, 'debug_log.html'), 'w', encoding='utf8') as f: | |
segment_parts_for_gpt = [] | |
nodes = [] | |
node = root | |
while True: | |
nodes.append(node) | |
show_html = node.string.replace('\n','<br/>') | |
if not node.preserve: | |
segment_parts_for_gpt.append(node.string) | |
f.write(f'<p style="color:black;">#{node.range}{show_html}#</p>') | |
else: | |
f.write(f'<p style="color:red;">{show_html}</p>') | |
node = node.next | |
if node is None: break | |
for n in nodes: n.next = None # break | |
return_dict['nodes'] = nodes | |
return_dict['segment_parts_for_gpt'] = segment_parts_for_gpt | |
return return_dict | |
class LatexPaperSplit(): | |
""" | |
break down latex file to a linked list, | |
each node use a preserve flag to indicate whether it should | |
be proccessed by GPT. | |
""" | |
def __init__(self) -> None: | |
self.nodes = None | |
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," + \ | |
"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。" + \ | |
"项目Github地址 \\url{https://github.com/binary-husky/gpt_academic/}。" | |
# 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) | |
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。}}\\\\" | |
self.title = "unknown" | |
self.abstract = "unknown" | |
def read_title_and_abstract(self, txt): | |
try: | |
title, abstract = find_title_and_abs(txt) | |
if title is not None: | |
self.title = title.replace('\n', ' ').replace('\\\\', ' ').replace(' ', '').replace(' ', '') | |
if abstract is not None: | |
self.abstract = abstract.replace('\n', ' ').replace('\\\\', ' ').replace(' ', '').replace(' ', '') | |
except: | |
pass | |
def merge_result(self, arr, mode, msg, buggy_lines=[], buggy_line_surgery_n_lines=10): | |
""" | |
Merge the result after the GPT process completed | |
""" | |
result_string = "" | |
node_cnt = 0 | |
line_cnt = 0 | |
for node in self.nodes: | |
if node.preserve: | |
line_cnt += node.string.count('\n') | |
result_string += node.string | |
else: | |
translated_txt = fix_content(arr[node_cnt], node.string) | |
begin_line = line_cnt | |
end_line = line_cnt + translated_txt.count('\n') | |
# reverse translation if any error | |
if any([begin_line-buggy_line_surgery_n_lines <= b_line <= end_line+buggy_line_surgery_n_lines for b_line in buggy_lines]): | |
translated_txt = node.string | |
result_string += translated_txt | |
node_cnt += 1 | |
line_cnt += translated_txt.count('\n') | |
if mode == 'translate_zh': | |
pattern = re.compile(r'\\begin\{abstract\}.*\n') | |
match = pattern.search(result_string) | |
if not match: | |
# match \abstract{xxxx} | |
pattern_compile = re.compile(r"\\abstract\{(.*?)\}", flags=re.DOTALL) | |
match = pattern_compile.search(result_string) | |
position = match.regs[1][0] | |
else: | |
# match \begin{abstract}xxxx\end{abstract} | |
position = match.end() | |
result_string = result_string[:position] + self.msg + msg + self.msg_declare + result_string[position:] | |
return result_string | |
def split(self, txt, project_folder, opts): | |
""" | |
break down latex file to a linked list, | |
each node use a preserve flag to indicate whether it should | |
be proccessed by GPT. | |
P.S. use multiprocessing to avoid timeout error | |
""" | |
import multiprocessing | |
manager = multiprocessing.Manager() | |
return_dict = manager.dict() | |
p = multiprocessing.Process( | |
target=split_subprocess, | |
args=(txt, project_folder, return_dict, opts)) | |
p.start() | |
p.join() | |
p.close() | |
self.nodes = return_dict['nodes'] | |
self.sp = return_dict['segment_parts_for_gpt'] | |
return self.sp | |
class LatexPaperFileGroup(): | |
""" | |
use tokenizer to break down text according to max_token_limit | |
""" | |
def __init__(self): | |
self.file_paths = [] | |
self.file_contents = [] | |
self.sp_file_contents = [] | |
self.sp_file_index = [] | |
self.sp_file_tag = [] | |
# count_token | |
from request_llms.bridge_all import model_info | |
enc = model_info["gpt-3.5-turbo"]['tokenizer'] | |
def get_token_num(txt): return len(enc.encode(txt, disallowed_special=())) | |
self.get_token_num = get_token_num | |
def run_file_split(self, max_token_limit=1900): | |
""" | |
use tokenizer to break down text according to max_token_limit | |
""" | |
for index, file_content in enumerate(self.file_contents): | |
if self.get_token_num(file_content) < max_token_limit: | |
self.sp_file_contents.append(file_content) | |
self.sp_file_index.append(index) | |
self.sp_file_tag.append(self.file_paths[index]) | |
else: | |
from crazy_functions.pdf_fns.breakdown_txt import breakdown_text_to_satisfy_token_limit | |
segments = breakdown_text_to_satisfy_token_limit(file_content, max_token_limit) | |
for j, segment in enumerate(segments): | |
self.sp_file_contents.append(segment) | |
self.sp_file_index.append(index) | |
self.sp_file_tag.append(self.file_paths[index] + f".part-{j}.tex") | |
def merge_result(self): | |
self.file_result = ["" for _ in range(len(self.file_paths))] | |
for r, k in zip(self.sp_file_result, self.sp_file_index): | |
self.file_result[k] += r | |
def write_result(self): | |
manifest = [] | |
for path, res in zip(self.file_paths, self.file_result): | |
with open(path + '.polish.tex', 'w', encoding='utf8') as f: | |
manifest.append(path + '.polish.tex') | |
f.write(res) | |
return manifest | |
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=[]): | |
import time, os, re | |
from ..crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency | |
from .latex_actions import LatexPaperFileGroup, LatexPaperSplit | |
# <-------- 寻找主tex文件 ----------> | |
maintex = find_main_tex_file(file_manifest, mode) | |
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。')) | |
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
time.sleep(3) | |
# <-------- 读取Latex文件, 将多文件tex工程融合为一个巨型tex ----------> | |
main_tex_basename = os.path.basename(maintex) | |
assert main_tex_basename.endswith('.tex') | |
main_tex_basename_bare = main_tex_basename[:-4] | |
may_exist_bbl = pj(project_folder, f'{main_tex_basename_bare}.bbl') | |
if os.path.exists(may_exist_bbl): | |
shutil.copyfile(may_exist_bbl, pj(project_folder, f'merge.bbl')) | |
shutil.copyfile(may_exist_bbl, pj(project_folder, f'merge_{mode}.bbl')) | |
shutil.copyfile(may_exist_bbl, pj(project_folder, f'merge_diff.bbl')) | |
with open(maintex, 'r', encoding='utf-8', errors='replace') as f: | |
content = f.read() | |
merged_content = merge_tex_files(project_folder, content, mode) | |
with open(project_folder + '/merge.tex', 'w', encoding='utf-8', errors='replace') as f: | |
f.write(merged_content) | |
# <-------- 精细切分latex文件 ----------> | |
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。')) | |
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
lps = LatexPaperSplit() | |
lps.read_title_and_abstract(merged_content) | |
res = lps.split(merged_content, project_folder, opts) # 消耗时间的函数 | |
# <-------- 拆分过长的latex片段 ----------> | |
pfg = LatexPaperFileGroup() | |
for index, r in enumerate(res): | |
pfg.file_paths.append('segment-' + str(index)) | |
pfg.file_contents.append(r) | |
pfg.run_file_split(max_token_limit=1024) | |
n_split = len(pfg.sp_file_contents) | |
# <-------- 根据需要切换prompt ----------> | |
inputs_array, sys_prompt_array = switch_prompt(pfg, mode) | |
inputs_show_user_array = [f"{mode} {f}" for f in pfg.sp_file_tag] | |
if os.path.exists(pj(project_folder,'temp.pkl')): | |
# <-------- 【仅调试】如果存在调试缓存文件,则跳过GPT请求环节 ----------> | |
pfg = objload(file=pj(project_folder,'temp.pkl')) | |
else: | |
# <-------- gpt 多线程请求 ----------> | |
history_array = [[""] for _ in range(n_split)] | |
# LATEX_EXPERIMENTAL, = get_conf('LATEX_EXPERIMENTAL') | |
# if LATEX_EXPERIMENTAL: | |
# paper_meta = f"The paper you processing is `{lps.title}`, a part of the abstraction is `{lps.abstract}`" | |
# paper_meta_max_len = 888 | |
# history_array = [[ paper_meta[:paper_meta_max_len] + '...', "Understand, what should I do?"] for _ in range(n_split)] | |
gpt_response_collection = yield from request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency( | |
inputs_array=inputs_array, | |
inputs_show_user_array=inputs_show_user_array, | |
llm_kwargs=llm_kwargs, | |
chatbot=chatbot, | |
history_array=history_array, | |
sys_prompt_array=sys_prompt_array, | |
# 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 | |
scroller_max_len = 40 | |
) | |
# <-------- 文本碎片重组为完整的tex片段 ----------> | |
pfg.sp_file_result = [] | |
for i_say, gpt_say, orig_content in zip(gpt_response_collection[0::2], gpt_response_collection[1::2], pfg.sp_file_contents): | |
pfg.sp_file_result.append(gpt_say) | |
pfg.merge_result() | |
# <-------- 临时存储用于调试 ----------> | |
pfg.get_token_num = None | |
objdump(pfg, file=pj(project_folder,'temp.pkl')) | |
write_html(pfg.sp_file_contents, pfg.sp_file_result, chatbot=chatbot, project_folder=project_folder) | |
# <-------- 写出文件 ----------> | |
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']}。" | |
final_tex = lps.merge_result(pfg.file_result, mode, msg) | |
objdump((lps, pfg.file_result, mode, msg), file=pj(project_folder,'merge_result.pkl')) | |
with open(project_folder + f'/merge_{mode}.tex', 'w', encoding='utf-8', errors='replace') as f: | |
if mode != 'translate_zh' or "binary" in final_tex: f.write(final_tex) | |
# <-------- 整理结果, 退出 ----------> | |
chatbot.append((f"完成了吗?", 'GPT结果已输出, 即将编译PDF')) | |
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 | |
# <-------- 返回 ----------> | |
return project_folder + f'/merge_{mode}.tex' | |
def remove_buggy_lines(file_path, log_path, tex_name, tex_name_pure, n_fix, work_folder_modified, fixed_line=[]): | |
try: | |
with open(log_path, 'r', encoding='utf-8', errors='replace') as f: | |
log = f.read() | |
import re | |
buggy_lines = re.findall(tex_name+':([0-9]{1,5}):', log) | |
buggy_lines = [int(l) for l in buggy_lines] | |
buggy_lines = sorted(buggy_lines) | |
buggy_line = buggy_lines[0]-1 | |
print("reversing tex line that has errors", buggy_line) | |
# 重组,逆转出错的段落 | |
if buggy_line not in fixed_line: | |
fixed_line.append(buggy_line) | |
lps, file_result, mode, msg = objload(file=pj(work_folder_modified,'merge_result.pkl')) | |
final_tex = lps.merge_result(file_result, mode, msg, buggy_lines=fixed_line, buggy_line_surgery_n_lines=5*n_fix) | |
with open(pj(work_folder_modified, f"{tex_name_pure}_fix_{n_fix}.tex"), 'w', encoding='utf-8', errors='replace') as f: | |
f.write(final_tex) | |
return True, f"{tex_name_pure}_fix_{n_fix}", buggy_lines | |
except: | |
print("Fatal error occurred, but we cannot identify error, please download zip, read latex log, and compile manually.") | |
return False, -1, [-1] | |
def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_folder_original, work_folder_modified, work_folder, mode='default'): | |
import os, time | |
n_fix = 1 | |
fixed_line = [] | |
max_try = 32 | |
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) | |
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 | |
yield from update_ui_lastest_msg('编译已经开始...', chatbot, history) # 刷新Gradio前端界面 | |
while True: | |
import os | |
may_exist_bbl = pj(work_folder_modified, f'merge.bbl') | |
target_bbl = pj(work_folder_modified, f'{main_file_modified}.bbl') | |
if os.path.exists(may_exist_bbl) and not os.path.exists(target_bbl): | |
shutil.copyfile(may_exist_bbl, target_bbl) | |
# 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, 正在尝试生成对比PDF, 请稍候 ...', 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) | |
if os.path.exists(pj(work_folder, '..', 'translation')): | |
shutil.copyfile(concat_pdf, pj(work_folder, '..', 'translation', 'comparison.pdf')) | |
promote_file_to_downloadzone(concat_pdf, rename_file=None, chatbot=chatbot) # promote file to web UI | |
except Exception as e: | |
print(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_functions.pdf_fns.report_gen_html 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()) | |