from toolbox import update_ui, update_ui_lastest_msg # 刷新Gradio前端界面
from toolbox import zip_folder, objdump, objload, promote_file_to_downloadzone
import os, shutil
import re
import numpy as np
pj = os.path.join
"""
========================================================================
Part One
Latex segmentation with a binary mask (PRESERVE=0, TRANSFORM=1)
========================================================================
"""
PRESERVE = 0
TRANSFORM = 1
def set_forbidden_text(text, mask, pattern, flags=0):
"""
Add a preserve text area in this paper
e.g. with pattern = r"\\begin\{algorithm\}(.*?)\\end\{algorithm\}"
you can mask out (mask = PRESERVE so that text become untouchable for GPT)
everything between "\begin{equation}" and "\end{equation}"
"""
if isinstance(pattern, list): pattern = '|'.join(pattern)
pattern_compile = re.compile(pattern, flags)
for res in pattern_compile.finditer(text):
mask[res.span()[0]:res.span()[1]] = PRESERVE
return text, mask
def reverse_forbidden_text(text, mask, pattern, flags=0, forbid_wrapper=True):
"""
Move area out of preserve area (make text editable for GPT)
count the number of the braces so as to catch compelete text area.
e.g.
\begin{abstract} blablablablablabla. \end{abstract}
"""
if isinstance(pattern, list): pattern = '|'.join(pattern)
pattern_compile = re.compile(pattern, flags)
for res in pattern_compile.finditer(text):
if not forbid_wrapper:
mask[res.span()[0]:res.span()[1]] = TRANSFORM
else:
mask[res.regs[0][0]: res.regs[1][0]] = PRESERVE # '\\begin{abstract}'
mask[res.regs[1][0]: res.regs[1][1]] = TRANSFORM # abstract
mask[res.regs[1][1]: res.regs[0][1]] = PRESERVE # abstract
return text, mask
def set_forbidden_text_careful_brace(text, mask, pattern, flags=0):
"""
Add a preserve text area in this paper (text become untouchable for GPT).
count the number of the braces so as to catch compelete text area.
e.g.
\caption{blablablablabla\texbf{blablabla}blablabla.}
"""
pattern_compile = re.compile(pattern, flags)
for res in pattern_compile.finditer(text):
brace_level = -1
p = begin = end = res.regs[0][0]
for _ in range(1024*16):
if text[p] == '}' and brace_level == 0: break
elif text[p] == '}': brace_level -= 1
elif text[p] == '{': brace_level += 1
p += 1
end = p+1
mask[begin:end] = PRESERVE
return text, mask
def reverse_forbidden_text_careful_brace(text, mask, pattern, flags=0, forbid_wrapper=True):
"""
Move area out of preserve area (make text editable for GPT)
count the number of the braces so as to catch compelete text area.
e.g.
\caption{blablablablabla\texbf{blablabla}blablabla.}
"""
pattern_compile = re.compile(pattern, flags)
for res in pattern_compile.finditer(text):
brace_level = 0
p = begin = end = res.regs[1][0]
for _ in range(1024*16):
if text[p] == '}' and brace_level == 0: break
elif text[p] == '}': brace_level -= 1
elif text[p] == '{': brace_level += 1
p += 1
end = p
mask[begin:end] = TRANSFORM
if forbid_wrapper:
mask[res.regs[0][0]:begin] = PRESERVE
mask[end:res.regs[0][1]] = PRESERVE
return text, mask
def set_forbidden_text_begin_end(text, mask, pattern, flags=0, limit_n_lines=42):
"""
Find all \begin{} ... \end{} text block that with less than limit_n_lines lines.
Add it to preserve area
"""
pattern_compile = re.compile(pattern, flags)
def search_with_line_limit(text, mask):
for res in pattern_compile.finditer(text):
cmd = res.group(1) # begin{what}
this = res.group(2) # content between begin and end
this_mask = mask[res.regs[2][0]:res.regs[2][1]]
white_list = ['document', 'abstract', 'lemma', 'definition', 'sproof',
'em', 'emph', 'textit', 'textbf', 'itemize', 'enumerate']
if (cmd in white_list) or this.count('\n') >= limit_n_lines: # use a magical number 42
this, this_mask = search_with_line_limit(this, this_mask)
mask[res.regs[2][0]:res.regs[2][1]] = this_mask
else:
mask[res.regs[0][0]:res.regs[0][1]] = PRESERVE
return text, mask
return search_with_line_limit(text, mask)
class LinkedListNode():
"""
Linked List Node
"""
def __init__(self, string, preserve=True) -> None:
self.string = string
self.preserve = preserve
self.next = None
# self.begin_line = 0
# self.begin_char = 0
def convert_to_linklist(text, mask):
root = LinkedListNode("", preserve=True)
current_node = root
for c, m, i in zip(text, mask, range(len(text))):
if (m==PRESERVE and current_node.preserve) \
or (m==TRANSFORM and not current_node.preserve):
# add
current_node.string += c
else:
current_node.next = LinkedListNode(c, preserve=(m==PRESERVE))
current_node = current_node.next
return root
"""
========================================================================
Latex Merge File
========================================================================
"""
def 寻找Latex主文件(file_manifest, mode):
"""
在多Tex文档中，寻找主文件，必须包含documentclass，返回找到的第一个。
P.S. 但愿没人把latex模板放在里面传进来 (6.25 加入判定latex模板的代码)
"""
canidates = []
for texf in file_manifest:
if os.path.basename(texf).startswith('merge'):
continue
with open(texf, 'r', encoding='utf8') as f:
file_content = f.read()
if r'\documentclass' in file_content:
canidates.append(texf)
else:
continue
if len(canidates) == 0:
raise RuntimeError('无法找到一个主Tex文件（包含documentclass关键字）')
elif len(canidates) == 1:
return canidates[0]
else: # if len(canidates) >= 2 通过一些Latex模板中常见（但通常不会出现在正文）的单词，对不同latex源文件扣分，取评分最高者返回
canidates_score = []
# 给出一些判定模板文档的词作为扣分项
unexpected_words = ['\LaTeX', 'manuscript', 'Guidelines', 'font', 'citations', 'rejected', 'blind review', 'reviewers']
expected_words = ['\input', '\ref', '\cite']
for texf in canidates:
canidates_score.append(0)
with open(texf, 'r', encoding='utf8') as f:
file_content = f.read()
for uw in unexpected_words:
if uw in file_content:
canidates_score[-1] -= 1
for uw in expected_words:
if uw in file_content:
canidates_score[-1] += 1
select = np.argmax(canidates_score) # 取评分最高者返回
return canidates[select]
def rm_comments(main_file):
new_file_remove_comment_lines = []
for l in main_file.splitlines():
# 删除整行的空注释
if l.lstrip().startswith("%"):
pass
else:
new_file_remove_comment_lines.append(l)
main_file = '\n'.join(new_file_remove_comment_lines)
# main_file = re.sub(r"\\include{(.*?)}", r"\\input{\1}", main_file) # 将 \include 命令转换为 \input 命令
main_file = re.sub(r'(?<!\\)%.*', '', main_file) # 使用正则表达式查找半行注释, 并替换为空字符串
return main_file
def merge_tex_files_(project_foler, main_file, mode):
"""
Merge Tex project recrusively
"""
main_file = rm_comments(main_file)
for s in reversed([q for q in re.finditer(r"\\input\{(.*?)\}", main_file, re.M)]):
f = s.group(1)
fp = os.path.join(project_foler, f)
if os.path.exists(fp):
# e.g., \input{srcs/07_appendix.tex}
with open(fp, 'r', encoding='utf-8', errors='replace') as fx:
c = fx.read()
else:
# e.g., \input{srcs/07_appendix}
with open(fp+'.tex', 'r', encoding='utf-8', errors='replace') as fx:
c = fx.read()
c = merge_tex_files_(project_foler, c, mode)
main_file = main_file[:s.span()[0]] + c + main_file[s.span()[1]:]
return main_file
def merge_tex_files(project_foler, main_file, mode):
"""
Merge Tex project recrusively
P.S. 顺便把CTEX塞进去以支持中文
P.S. 顺便把Latex的注释去除
"""
main_file = merge_tex_files_(project_foler, main_file, mode)
main_file = rm_comments(main_file)
if mode == 'translate_zh':
# find paper documentclass
pattern = re.compile(r'\\documentclass.*\n')
match = pattern.search(main_file)
assert match is not None, "Cannot find documentclass statement!"
position = match.end()
add_ctex = '\\usepackage{ctex}\n'
add_url = '\\usepackage{url}\n' if '{url}' not in main_file else ''
main_file = main_file[:position] + add_ctex + add_url + main_file[position:]
# fontset=windows
import platform
main_file = re.sub(r"\\documentclass\[(.*?)\]{(.*?)}", r"\\documentclass[\1,fontset=windows,UTF8]{\2}",main_file)
main_file = re.sub(r"\\documentclass{(.*?)}", r"\\documentclass[fontset=windows,UTF8]{\1}",main_file)
# find paper abstract
pattern_opt1 = re.compile(r'\\begin\{abstract\}.*\n')
pattern_opt2 = re.compile(r"\\abstract\{(.*?)\}", flags=re.DOTALL)
match_opt1 = pattern_opt1.search(main_file)
match_opt2 = pattern_opt2.search(main_file)
assert (match_opt1 is not None) or (match_opt2 is not None), "Cannot find paper abstract section!"
return main_file
"""
========================================================================
Post process
========================================================================
"""
def mod_inbraket(match):
"""
为啥chatgpt会把cite里面的逗号换成中文逗号呀
"""
# get the matched string
cmd = match.group(1)
str_to_modify = match.group(2)
# modify the matched string
str_to_modify = str_to_modify.replace('：', ':') # 前面是中文冒号，后面是英文冒号
str_to_modify = str_to_modify.replace('，', ',') # 前面是中文逗号，后面是英文逗号
# str_to_modify = 'BOOM'
return "\\" + cmd + "{" + str_to_modify + "}"
def fix_content(final_tex, node_string):
"""
Fix common GPT errors to increase success rate
"""
final_tex = re.sub(r"(?<!\\)%", "\\%", final_tex)
final_tex = re.sub(r"\\([a-z]{2,10})\ \{", r"\\\1{", string=final_tex)
final_tex = re.sub(r"\\\ ([a-z]{2,10})\{", r"\\\1{", string=final_tex)
final_tex = re.sub(r"\\([a-z]{2,10})\{([^\}]*?)\}", mod_inbraket, string=final_tex)
if "Traceback" in final_tex and "[Local Message]" in final_tex:
final_tex = node_string # 出问题了，还原原文
if node_string.count('\\begin') != final_tex.count('\\begin'):
final_tex = node_string # 出问题了，还原原文
if node_string.count('\_') > 0 and node_string.count('\_') > final_tex.count('\_'):
# walk and replace any _ without \
final_tex = re.sub(r"(?<!\\)_", "\\_", final_tex)
def compute_brace_level(string):
# this function count the number of { and }
brace_level = 0
for c in string:
if c == "{": brace_level += 1
elif c == "}": brace_level -= 1
return brace_level
def join_most(tex_t, tex_o):
# this function join translated string and original string when something goes wrong
p_t = 0
p_o = 0
def find_next(string, chars, begin):
p = begin
while p < len(string):
if string[p] in chars: return p, string[p]
p += 1
return None, None
while True:
res1, char = find_next(tex_o, ['{','}'], p_o)
if res1 is None: break
res2, char = find_next(tex_t, [char], p_t)
if res2 is None: break
p_o = res1 + 1
p_t = res2 + 1
return tex_t[:p_t] + tex_o[p_o:]
if compute_brace_level(final_tex) != compute_brace_level(node_string):
# 出问题了，还原部分原文，保证括号正确
final_tex = join_most(final_tex, node_string)
return final_tex
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)
# 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)
# 修复括号
node = root
while True:
string = node.string
if node.preserve:
node = node.next
if node is None: break
continue
def break_check(string):
str_stack = [""] # (lv, index)
for i, c in enumerate(string):
if c == '{':
str_stack.append('{')
elif c == '}':
if len(str_stack) == 1:
print('stack fix')
return i
str_stack.pop(-1)
else:
str_stack[-1] += c
return -1
bp = break_check(string)
if bp == -1:
pass
elif bp == 0:
node.string = string[:1]
q = LinkedListNode(string[1:], False)
q.next = node.next
node.next = q
else:
node.string = string[:bp]
q = LinkedListNode(string[bp:], False)
q.next = node.next
node.next = q
node = node.next
if node is None: break
# 屏蔽空行和太短的句子
node = root
while True:
if len(node.string.strip('\n').strip(''))==0: node.preserve = True
if len(node.string.strip('\n').strip(''))<42: node.preserve = True
node = node.next
if node is None: break
node = root
while True:
if node.next and node.preserve and node.next.preserve:
node.string += node.next.string
node.next = node.next.next
node = node.next
if node is None: break
# 将前后断行符脱离
node = root
prev_node = None
while True:
if not node.preserve:
lstriped_ = node.string.lstrip().lstrip('\n')
if (prev_node is not None) and (prev_node.preserve) and (len(lstriped_)!=len(node.string)):
prev_node.string += node.string[:-len(lstriped_)]
node.string = lstriped_
rstriped_ = node.string.rstrip().rstrip('\n')
if (node.next is not None) and (node.next.preserve) and (len(rstriped_)!=len(node.string)):
node.next.string = node.string[len(rstriped_):] + node.next.string
node.string = rstriped_
# =====
prev_node = node
node = node.next
if node is None: break
# 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;">#{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):
"""
Merge the result after the GPT process completed
"""
result_string = ""
p = 0
for node in self.nodes:
if node.preserve:
result_string += node.string
else:
result_string += fix_content(arr[p], node.string)
p += 1
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 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"
ch.save_file(create_report_file_name)
shutil.copyfile(pj('./gpt_log/', create_report_file_name), pj(project_folder, create_report_file_name))
promote_file_to_downloadzone(file=f'./gpt_log/{create_report_file_name}', chatbot=chatbot)
except:
from toolbox import trimmed_format_exc
print('writing html result failed:', trimmed_format_exc())
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_utils import LatexPaperFileGroup, merge_tex_files, LatexPaperSplit, 寻找Latex主文件
# <-------- 寻找主tex文件 ---------->
maintex = 寻找Latex主文件(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)
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, 正在编译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):
try:
with open(log_path, 'r', encoding='utf-8', errors='replace') as f:
log = f.read()
with open(file_path, 'r', encoding='utf-8', errors='replace') as f:
file_lines = f.readlines()
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)
print("removing lines that has errors", buggy_lines)
file_lines.pop(buggy_lines[0]-1)
with open(pj(work_folder_modified, f"{tex_name_pure}_fix_{n_fix}.tex"), 'w', encoding='utf-8', errors='replace') as f:
f.writelines(file_lines)
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 compile_latex_with_timeout(command, cwd, timeout=60):
import subprocess
process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=cwd)
try:
stdout, stderr = process.communicate(timeout=timeout)
except subprocess.TimeoutExpired:
process.kill()
stdout, stderr = process.communicate()
print("Process timed out!")
return False
return True
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
current_dir = os.getcwd()
n_fix = 1
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
# 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')
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
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
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,
)
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