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from toolbox import update_ui, update_ui_lastest_msg, get_log_folder
from toolbox import zip_folder, 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
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。}}\\\\"
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_llm.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_utils import breakdown_txt_to_satisfy_token_limit_for_pdf
segments = breakdown_txt_to_satisfy_token_limit_for_pdf(file_content, self.get_token_num, 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")
print('Segmentation: done')
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()
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 ---------->
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=[[""] for _ in range(n_split)],
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, 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())