镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 22:46:48 +00:00
458 行
21 KiB
Python
458 行
21 KiB
Python
from toolbox import update_ui, update_ui_lastest_msg # 刷新Gradio前端界面
|
||
from toolbox import zip_folder
|
||
import os
|
||
import re
|
||
pj = os.path.join
|
||
|
||
def 寻找Latex主文件(file_manifest, mode):
|
||
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:
|
||
return texf
|
||
else:
|
||
continue
|
||
raise RuntimeError('无法找到一个主Tex文件（包含documentclass关键字）')
|
||
|
||
def merge_tex_files_(project_foler, main_file, mode):
|
||
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)
|
||
with open(fp, '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):
|
||
main_file = merge_tex_files_(project_foler, main_file, mode)
|
||
|
||
if mode == 'translate_zh':
|
||
pattern = re.compile(r'\\documentclass.*\n')
|
||
match = pattern.search(main_file)
|
||
position = match.end()
|
||
main_file = main_file[:position] + '\\usepackage{CTEX}\n' + main_file[position:]
|
||
|
||
pattern = re.compile(r'\\begin\{abstract\}.*\n')
|
||
match = pattern.search(main_file)
|
||
position = match.end()
|
||
main_file = main_file[:position] + '声明：该PDF由Github的gpt-academic开源项目latex翻译插件一键生成，请认真 \n\n' + main_file[position:]
|
||
|
||
return main_file
|
||
|
||
class LinkTable():
|
||
def __init__(self, string, preserve=True) -> None:
|
||
self.string = string
|
||
self.preserve = preserve
|
||
self.next = None
|
||
|
||
def mod_inbraket(match):
|
||
# 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 the modified string as the replacement
|
||
return "\\" + cmd + "{" + str_to_modify + "}"
|
||
|
||
def fix_content(final_tex):
|
||
"""
|
||
fix common GPT errors to increase success rate
|
||
"""
|
||
final_tex = final_tex.replace('%', r'\%')
|
||
final_tex = final_tex.replace(r'\%', r'\\%')
|
||
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)
|
||
return final_tex
|
||
|
||
class LatexPaperSplit():
|
||
def __init__(self) -> None:
|
||
self.root = None
|
||
|
||
def merge_result(self, arr):
|
||
result_string = ""
|
||
node = self.root
|
||
p = 0
|
||
while True:
|
||
if node.preserve:
|
||
result_string += node.string
|
||
else:
|
||
result_string += fix_content(arr[p])
|
||
p += 1
|
||
node = node.next
|
||
if node is None: break
|
||
|
||
return result_string
|
||
|
||
def split(self, txt):
|
||
# def replace_with_hash()
|
||
root = LinkTable(txt, False)
|
||
def split_worker(root, pattern, flags=0):
|
||
lt = root
|
||
cnt = 0
|
||
while True:
|
||
if not lt.preserve:
|
||
while True:
|
||
res = re.search(pattern, lt.string, flags)
|
||
if not res: break
|
||
before = res.string[:res.span()[0]]
|
||
this = res.group(0)
|
||
# core = res.group(1)
|
||
after = res.string[res.span()[1]:]
|
||
# ======
|
||
if before.endswith('\n'):
|
||
this = '\n' + this
|
||
before = before[:-1]
|
||
if after.startswith('\n'):
|
||
# move \n
|
||
this = this + '\n'
|
||
after = after[1:]
|
||
# ======
|
||
lt.string = before
|
||
tmp = lt.next
|
||
# ======
|
||
mid = LinkTable(this, True)
|
||
lt.next = mid
|
||
# ======
|
||
aft = LinkTable(after, False)
|
||
mid.next = aft
|
||
aft.next = tmp
|
||
# ======
|
||
lt = aft
|
||
lt = lt.next
|
||
cnt += 1
|
||
print(cnt)
|
||
if lt is None: break
|
||
|
||
# root 是链表的头
|
||
print('正在分解Latex源文件')
|
||
split_worker(root, r"(.*?)\\maketitle", re.DOTALL)
|
||
split_worker(root, r"\\section\{(.*?)\}")
|
||
split_worker(root, r"\\subsection\{(.*?)\}")
|
||
split_worker(root, r"\\subsubsection\{(.*?)\}")
|
||
split_worker(root, r"\\begin\{figure\}(.*?)\\end\{figure\}", re.DOTALL)
|
||
split_worker(root, r"\\begin\{figure\*\}(.*?)\\end\{figure\*\}", re.DOTALL)
|
||
split_worker(root, r"\\begin\{table\}(.*?)\\end\{table\}", re.DOTALL)
|
||
split_worker(root, r"\\begin\{table\*\}(.*?)\\end\{table\*\}", re.DOTALL)
|
||
split_worker(root, r"\\begin\{align\*\}(.*?)\\end\{align\*\}", re.DOTALL)
|
||
split_worker(root, r"\\begin\{align\}(.*?)\\end\{align\}", re.DOTALL)
|
||
split_worker(root, r"\\begin\{equation\}(.*?)\\end\{equation\}", re.DOTALL)
|
||
split_worker(root, r"\\begin\{equation\*\}(.*?)\\end\{equation\*\}", re.DOTALL)
|
||
split_worker(root, r"\$\$(.*?)\$\$", re.DOTALL)
|
||
split_worker(root, r"\\item ")
|
||
split_worker(root, r"\\begin\{(.*?)\}")
|
||
split_worker(root, r"\\end\{(.*?)\}")
|
||
|
||
res = []
|
||
node = root
|
||
while True:
|
||
res.append((node.string, node.preserve))
|
||
if len(node.string.strip('\n').strip(''))==0: node.preserve = True
|
||
if len(node.string.strip('\n').strip(''))<50: node.preserve = True
|
||
node = node.next
|
||
if node is None: break
|
||
|
||
with open('debug_log', 'w', encoding='utf8') as f:
|
||
res_to_t = []
|
||
node = root
|
||
while True:
|
||
if not node.preserve:
|
||
res_to_t.append(node.string)
|
||
f.write(node.string + '\n ========================= \n')
|
||
node = node.next
|
||
if node is None: break
|
||
|
||
self.root = root
|
||
self.sp = res_to_t
|
||
return self.sp
|
||
|
||
class LatexPaperFileGroup():
|
||
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):
|
||
"""
|
||
将长文本分离开来
|
||
"""
|
||
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 zip_result(self):
|
||
import os, time
|
||
folder = os.path.dirname(self.file_paths[0])
|
||
t = time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime())
|
||
zip_folder(folder, './gpt_log/', f'{t}-polished.zip')
|
||
|
||
|
||
|
||
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):
|
||
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(5)
|
||
|
||
# <-------- 读取Latex文件, 将多文件tex工程融合为一个巨型tex ---------->
|
||
with open(maintex, 'r', encoding='utf-8', errors='replace') as f:
|
||
content = f.read()
|
||
merged_content = merge_tex_files(project_folder, content, mode)
|
||
merged_content = re.sub(r'(?<!\\)%.*', '', merged_content) # 使用正则表达式查找注释, 并替换为空字符串
|
||
|
||
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 ---------->
|
||
lps = LatexPaperSplit()
|
||
res = lps.split(merged_content)
|
||
|
||
# <-------- 拆分过长的latex片段 ---------->
|
||
pfg = LatexPaperFileGroup()
|
||
for index, r in enumerate(res):
|
||
pfg.file_paths.append(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]
|
||
|
||
# <-------- 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 = 80
|
||
)
|
||
|
||
# <-------- 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)
|
||
# pfg = objload()
|
||
|
||
# <-------- 写出文件 ---------->
|
||
final_tex = lps.merge_result(pfg.sp_file_result)
|
||
with open(project_folder + f'/merge_{mode}.tex', 'w', encoding='utf-8', errors='replace') as f:
|
||
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 Latex预处理(pfg, project_folder):
|
||
# import shutil, os
|
||
# work_folder = 'private_upload/latex_workshop_temp'
|
||
|
||
# try:
|
||
# shutil.rmtree(work_folder)
|
||
# except:
|
||
# pass
|
||
# finally:
|
||
# work_folder_original = 'private_upload/latex_workshop_temp/original'
|
||
# work_folder_modified = 'private_upload/latex_workshop_temp/modified'
|
||
# shutil.copytree(project_folder, work_folder_original, ignore=lambda a,b: ['.git'])
|
||
# shutil.copytree(project_folder, work_folder_modified, ignore=lambda a,b: ['.git'])
|
||
|
||
# for path, result in zip(pfg.file_paths, pfg.file_result):
|
||
# path_old = os.path.relpath(path, start=project_folder)
|
||
# path_new = pj(work_folder_modified, path_old)
|
||
# with open(path_new, 'w', encoding='utf-8') as f:
|
||
# f.write(result)
|
||
|
||
# for main_file_original in glob.glob('private_upload/latex_workshop_temp/original/*.tex'):
|
||
# with open(main_file_original, 'r', encoding='utf8') as f:
|
||
# file_content = f.read()
|
||
# if r'\documentclass' in file_content:
|
||
# path_old = os.path.relpath(main_file_original, start=work_folder_original)
|
||
# main_file_modified = os.path.relpath(work_folder_modified, start=work_folder_original)
|
||
# return main_file_original, main_file_modified, work_folder_original, work_folder_modified, work_folder
|
||
# else:
|
||
# continue
|
||
# raise RuntimeError('无法找到一个主Tex文件, 本程序寻找主Tex文件的方法是查找文件中的documentclass关键字。')
|
||
|
||
|
||
# def Latex预处理(tar_file):
|
||
# from toolbox import extract_archive
|
||
# import shutil
|
||
# work_folder = 'private_upload/latex_workshop_temp'
|
||
# try:
|
||
# shutil.rmtree(work_folder)
|
||
# except:
|
||
# pass
|
||
# res = extract_archive(tar_file, dest_dir=work_folder)
|
||
# for texf in glob.glob('private_upload/latex_workshop_temp/*.tex'):
|
||
# with open(texf, 'r', encoding='utf8') as f:
|
||
# file_content = f.read()
|
||
# if r'\documentclass' in file_content:
|
||
# return texf, work_folder
|
||
# else:
|
||
# continue
|
||
# raise RuntimeError('无法找到一个主Tex文件（包含documentclass关键字）')
|
||
|
||
|
||
|
||
|
||
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:
|
||
return False, 0, [0]
|
||
|
||
|
||
def compile_latex_with_timeout(command, timeout=90):
|
||
import subprocess
|
||
process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
|
||
try:
|
||
stdout, stderr = process.communicate(timeout=timeout)
|
||
except subprocess.TimeoutExpired:
|
||
process.kill()
|
||
stdout, stderr = process.communicate()
|
||
print("Process timed out!")
|
||
|
||
print(stdout)
|
||
print(stderr)
|
||
|
||
|
||
def 编译Latex差别(chatbot, history, main_file_original, main_file_modified, work_folder_original, work_folder_modified, work_folder):
|
||
import os, time
|
||
current_dir = os.getcwd()
|
||
n_fix = 0
|
||
chatbot.append([f"正在编译PDF文档", '编译已经开始...']); 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}编译, 编译原始PDF ...', chatbot, history) # 刷新Gradio前端界面
|
||
os.chdir(work_folder_original); compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex'); os.chdir(current_dir)
|
||
|
||
yield from update_ui_lastest_msg(f'尝试第{n_fix}编译, 编译转化后的PDF ...', chatbot, history) # 刷新Gradio前端界面
|
||
os.chdir(work_folder_modified); compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex'); os.chdir(current_dir)
|
||
|
||
yield from update_ui_lastest_msg(f'尝试第{n_fix}编译, 编译BibTex ...', chatbot, history) # 刷新Gradio前端界面
|
||
os.chdir(work_folder_original); compile_latex_with_timeout(f'bibtex {main_file_original}.aux'); os.chdir(current_dir)
|
||
os.chdir(work_folder_modified); compile_latex_with_timeout(f'bibtex {main_file_modified}.aux'); os.chdir(current_dir)
|
||
|
||
yield from update_ui_lastest_msg(f'尝试第{n_fix}编译, 编译文献交叉引用 ...', chatbot, history) # 刷新Gradio前端界面
|
||
os.chdir(work_folder_original); compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex'); os.chdir(current_dir)
|
||
os.chdir(work_folder_modified); compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex'); os.chdir(current_dir)
|
||
os.chdir(work_folder_original); compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex'); os.chdir(current_dir)
|
||
os.chdir(work_folder_modified); compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex'); os.chdir(current_dir)
|
||
|
||
yield from update_ui_lastest_msg(f'尝试第{n_fix}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')
|
||
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}编译, 正在编译对比PDF ...', chatbot, history) # 刷新Gradio前端界面
|
||
os.chdir(work_folder); compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex'); os.chdir(current_dir)
|
||
os.chdir(work_folder); compile_latex_with_timeout(f'bibtex merge_diff.aux'); os.chdir(current_dir)
|
||
os.chdir(work_folder); compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex'); os.chdir(current_dir)
|
||
os.chdir(work_folder); compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex'); os.chdir(current_dir)
|
||
|
||
# <--------------------->
|
||
os.chdir(current_dir)
|
||
|
||
# <---------- 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 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
|
||
os.chdir(current_dir)
|
||
return True # 成功啦
|
||
else:
|
||
if n_fix>=10: 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
|
||
|
||
os.chdir(current_dir)
|
||
return False # 失败啦
|
||
|
||
|
||
|