from toolbox import update_ui, trimmed_format_exc from toolbox import CatchException, report_execption, write_results_to_file, zip_folder import os import re 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:] 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('：', ':') str_to_modify = str_to_modify.replace('，', ',') # 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')