798 lines
38 KiB
Python
798 lines
38 KiB
Python
from toolbox import update_ui, update_ui_lastest_msg # 刷新Gradio前端界面
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from toolbox import zip_folder, objdump, objload, promote_file_to_downloadzone
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import os, shutil
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import re
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import numpy as np
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pj = os.path.join
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"""
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========================================================================
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Part One
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Latex segmentation with a binary mask (PRESERVE=0, TRANSFORM=1)
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========================================================================
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"""
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PRESERVE = 0
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TRANSFORM = 1
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def set_forbidden_text(text, mask, pattern, flags=0):
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"""
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Add a preserve text area in this paper
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e.g. with pattern = r"\\begin\{algorithm\}(.*?)\\end\{algorithm\}"
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you can mask out (mask = PRESERVE so that text become untouchable for GPT)
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everything between "\begin{equation}" and "\end{equation}"
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"""
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if isinstance(pattern, list): pattern = '|'.join(pattern)
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pattern_compile = re.compile(pattern, flags)
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for res in pattern_compile.finditer(text):
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mask[res.span()[0]:res.span()[1]] = PRESERVE
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return text, mask
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def reverse_forbidden_text(text, mask, pattern, flags=0, forbid_wrapper=True):
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"""
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Move area out of preserve area (make text editable for GPT)
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count the number of the braces so as to catch compelete text area.
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e.g.
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\begin{abstract} blablablablablabla. \end{abstract}
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"""
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if isinstance(pattern, list): pattern = '|'.join(pattern)
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pattern_compile = re.compile(pattern, flags)
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for res in pattern_compile.finditer(text):
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if not forbid_wrapper:
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mask[res.span()[0]:res.span()[1]] = TRANSFORM
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else:
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mask[res.regs[0][0]: res.regs[1][0]] = PRESERVE # '\\begin{abstract}'
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mask[res.regs[1][0]: res.regs[1][1]] = TRANSFORM # abstract
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mask[res.regs[1][1]: res.regs[0][1]] = PRESERVE # abstract
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return text, mask
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def set_forbidden_text_careful_brace(text, mask, pattern, flags=0):
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"""
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Add a preserve text area in this paper (text become untouchable for GPT).
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count the number of the braces so as to catch compelete text area.
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e.g.
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\caption{blablablablabla\texbf{blablabla}blablabla.}
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"""
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pattern_compile = re.compile(pattern, flags)
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for res in pattern_compile.finditer(text):
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brace_level = -1
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p = begin = end = res.regs[0][0]
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for _ in range(1024*16):
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if text[p] == '}' and brace_level == 0: break
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elif text[p] == '}': brace_level -= 1
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elif text[p] == '{': brace_level += 1
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p += 1
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end = p+1
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mask[begin:end] = PRESERVE
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return text, mask
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def reverse_forbidden_text_careful_brace(text, mask, pattern, flags=0, forbid_wrapper=True):
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"""
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Move area out of preserve area (make text editable for GPT)
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count the number of the braces so as to catch compelete text area.
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e.g.
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\caption{blablablablabla\texbf{blablabla}blablabla.}
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"""
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pattern_compile = re.compile(pattern, flags)
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for res in pattern_compile.finditer(text):
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brace_level = 0
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p = begin = end = res.regs[1][0]
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for _ in range(1024*16):
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if text[p] == '}' and brace_level == 0: break
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elif text[p] == '}': brace_level -= 1
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elif text[p] == '{': brace_level += 1
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p += 1
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end = p
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mask[begin:end] = TRANSFORM
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if forbid_wrapper:
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mask[res.regs[0][0]:begin] = PRESERVE
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mask[end:res.regs[0][1]] = PRESERVE
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return text, mask
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def set_forbidden_text_begin_end(text, mask, pattern, flags=0, limit_n_lines=42):
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"""
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Find all \begin{} ... \end{} text block that with less than limit_n_lines lines.
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Add it to preserve area
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"""
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pattern_compile = re.compile(pattern, flags)
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def search_with_line_limit(text, mask):
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for res in pattern_compile.finditer(text):
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cmd = res.group(1) # begin{what}
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this = res.group(2) # content between begin and end
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this_mask = mask[res.regs[2][0]:res.regs[2][1]]
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white_list = ['document', 'abstract', 'lemma', 'definition', 'sproof',
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'em', 'emph', 'textit', 'textbf', 'itemize', 'enumerate']
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if (cmd in white_list) or this.count('\n') >= limit_n_lines: # use a magical number 42
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this, this_mask = search_with_line_limit(this, this_mask)
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mask[res.regs[2][0]:res.regs[2][1]] = this_mask
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else:
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mask[res.regs[0][0]:res.regs[0][1]] = PRESERVE
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return text, mask
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return search_with_line_limit(text, mask)
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class LinkedListNode():
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"""
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Linked List Node
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"""
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def __init__(self, string, preserve=True) -> None:
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self.string = string
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self.preserve = preserve
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self.next = None
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# self.begin_line = 0
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# self.begin_char = 0
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def convert_to_linklist(text, mask):
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root = LinkedListNode("", preserve=True)
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current_node = root
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for c, m, i in zip(text, mask, range(len(text))):
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if (m==PRESERVE and current_node.preserve) \
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or (m==TRANSFORM and not current_node.preserve):
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# add
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current_node.string += c
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else:
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current_node.next = LinkedListNode(c, preserve=(m==PRESERVE))
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current_node = current_node.next
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return root
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"""
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========================================================================
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Latex Merge File
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========================================================================
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"""
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def 寻找Latex主文件(file_manifest, mode):
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"""
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在多Tex文档中，寻找主文件，必须包含documentclass，返回找到的第一个。
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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)
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"""
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canidates = []
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for texf in file_manifest:
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if os.path.basename(texf).startswith('merge'):
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continue
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with open(texf, 'r', encoding='utf8', errors='ignore') as f:
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file_content = f.read()
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if r'\documentclass' in file_content:
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canidates.append(texf)
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else:
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continue
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if len(canidates) == 0:
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raise RuntimeError('无法找到一个主Tex文件（包含documentclass关键字）')
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elif len(canidates) == 1:
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return canidates[0]
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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
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canidates_score = []
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# 给出一些判定模板文档的词作为扣分项
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unexpected_words = ['\LaTeX', 'manuscript', 'Guidelines', 'font', 'citations', 'rejected', 'blind review', 'reviewers']
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expected_words = ['\input', '\ref', '\cite']
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for texf in canidates:
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canidates_score.append(0)
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with open(texf, 'r', encoding='utf8', errors='ignore') as f:
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file_content = f.read()
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for uw in unexpected_words:
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if uw in file_content:
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canidates_score[-1] -= 1
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for uw in expected_words:
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if uw in file_content:
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canidates_score[-1] += 1
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select = np.argmax(canidates_score) # 取评分最高者返回
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return canidates[select]
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def rm_comments(main_file):
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new_file_remove_comment_lines = []
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for l in main_file.splitlines():
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# 删除整行的空注释
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if l.lstrip().startswith("%"):
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pass
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else:
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new_file_remove_comment_lines.append(l)
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main_file = '\n'.join(new_file_remove_comment_lines)
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# main_file = re.sub(r"\\include{(.*?)}", r"\\input{\1}", main_file) # 将 \include 命令转换为 \input 命令
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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
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return main_file
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def find_tex_file_ignore_case(fp):
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dir_name = os.path.dirname(fp)
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base_name = os.path.basename(fp)
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if not base_name.endswith('.tex'): base_name+='.tex'
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if os.path.exists(pj(dir_name, base_name)): return pj(dir_name, base_name)
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# go case in-sensitive
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import glob
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for f in glob.glob(dir_name+'/*.tex'):
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base_name_s = os.path.basename(fp)
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if base_name_s.lower() == base_name.lower(): return f
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return None
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def merge_tex_files_(project_foler, main_file, mode):
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"""
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Merge Tex project recrusively
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"""
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main_file = rm_comments(main_file)
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for s in reversed([q for q in re.finditer(r"\\input\{(.*?)\}", main_file, re.M)]):
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f = s.group(1)
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fp = os.path.join(project_foler, f)
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fp = find_tex_file_ignore_case(fp)
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if fp:
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with open(fp, 'r', encoding='utf-8', errors='replace') as fx: c = fx.read()
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else:
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raise RuntimeError(f'找不到{fp}，Tex源文件缺失！')
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c = merge_tex_files_(project_foler, c, mode)
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main_file = main_file[:s.span()[0]] + c + main_file[s.span()[1]:]
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return main_file
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def merge_tex_files(project_foler, main_file, mode):
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"""
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Merge Tex project recrusively
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P.S. 顺便把CTEX塞进去以支持中文
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P.S. 顺便把Latex的注释去除
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"""
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main_file = merge_tex_files_(project_foler, main_file, mode)
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main_file = rm_comments(main_file)
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if mode == 'translate_zh':
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# find paper documentclass
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pattern = re.compile(r'\\documentclass.*\n')
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match = pattern.search(main_file)
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assert match is not None, "Cannot find documentclass statement!"
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position = match.end()
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add_ctex = '\\usepackage{ctex}\n'
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add_url = '\\usepackage{url}\n' if '{url}' not in main_file else ''
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main_file = main_file[:position] + add_ctex + add_url + main_file[position:]
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# fontset=windows
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import platform
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main_file = re.sub(r"\\documentclass\[(.*?)\]{(.*?)}", r"\\documentclass[\1,fontset=windows,UTF8]{\2}",main_file)
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main_file = re.sub(r"\\documentclass{(.*?)}", r"\\documentclass[fontset=windows,UTF8]{\1}",main_file)
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# find paper abstract
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pattern_opt1 = re.compile(r'\\begin\{abstract\}.*\n')
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pattern_opt2 = re.compile(r"\\abstract\{(.*?)\}", flags=re.DOTALL)
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match_opt1 = pattern_opt1.search(main_file)
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match_opt2 = pattern_opt2.search(main_file)
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assert (match_opt1 is not None) or (match_opt2 is not None), "Cannot find paper abstract section!"
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return main_file
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"""
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========================================================================
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Post process
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========================================================================
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"""
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def mod_inbraket(match):
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"""
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为啥chatgpt会把cite里面的逗号换成中文逗号呀
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"""
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# get the matched string
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cmd = match.group(1)
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str_to_modify = match.group(2)
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# modify the matched string
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str_to_modify = str_to_modify.replace('：', ':') # 前面是中文冒号，后面是英文冒号
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str_to_modify = str_to_modify.replace('，', ',') # 前面是中文逗号，后面是英文逗号
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# str_to_modify = 'BOOM'
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return "\\" + cmd + "{" + str_to_modify + "}"
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def fix_content(final_tex, node_string):
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"""
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Fix common GPT errors to increase success rate
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"""
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final_tex = re.sub(r"(?<!\\)%", "\\%", final_tex)
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final_tex = re.sub(r"\\([a-z]{2,10})\ \{", r"\\\1{", string=final_tex)
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final_tex = re.sub(r"\\\ ([a-z]{2,10})\{", r"\\\1{", string=final_tex)
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final_tex = re.sub(r"\\([a-z]{2,10})\{([^\}]*?)\}", mod_inbraket, string=final_tex)
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if "Traceback" in final_tex and "[Local Message]" in final_tex:
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final_tex = node_string # 出问题了，还原原文
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if node_string.count('\\begin') != final_tex.count('\\begin'):
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final_tex = node_string # 出问题了，还原原文
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if node_string.count('\_') > 0 and node_string.count('\_') > final_tex.count('\_'):
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# walk and replace any _ without \
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final_tex = re.sub(r"(?<!\\)_", "\\_", final_tex)
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def compute_brace_level(string):
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# this function count the number of { and }
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brace_level = 0
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for c in string:
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if c == "{": brace_level += 1
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elif c == "}": brace_level -= 1
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return brace_level
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def join_most(tex_t, tex_o):
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# this function join translated string and original string when something goes wrong
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p_t = 0
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p_o = 0
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def find_next(string, chars, begin):
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p = begin
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while p < len(string):
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if string[p] in chars: return p, string[p]
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p += 1
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return None, None
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while True:
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res1, char = find_next(tex_o, ['{','}'], p_o)
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if res1 is None: break
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res2, char = find_next(tex_t, [char], p_t)
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if res2 is None: break
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p_o = res1 + 1
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p_t = res2 + 1
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return tex_t[:p_t] + tex_o[p_o:]
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if compute_brace_level(final_tex) != compute_brace_level(node_string):
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# 出问题了，还原部分原文，保证括号正确
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final_tex = join_most(final_tex, node_string)
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return final_tex
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def split_subprocess(txt, project_folder, return_dict, opts):
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"""
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break down latex file to a linked list,
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each node use a preserve flag to indicate whether it should
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be proccessed by GPT.
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"""
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text = txt
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mask = np.zeros(len(txt), dtype=np.uint8) + TRANSFORM
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# 吸收title与作者以上的部分
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text, mask = set_forbidden_text(text, mask, r"(.*?)\\maketitle", re.DOTALL)
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# 吸收iffalse注释
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text, mask = set_forbidden_text(text, mask, r"\\iffalse(.*?)\\fi", re.DOTALL)
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# 吸收在42行以内的begin-end组合
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text, mask = set_forbidden_text_begin_end(text, mask, r"\\begin\{([a-z\*]*)\}(.*?)\\end\{\1\}", re.DOTALL, limit_n_lines=42)
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# 吸收匿名公式
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text, mask = set_forbidden_text(text, mask, [ r"\$\$([^$]+)\$\$", r"\\\[.*?\\\]" ], re.DOTALL)
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# 吸收其他杂项
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text, mask = set_forbidden_text(text, mask, [ r"\\section\{(.*?)\}", r"\\section\*\{(.*?)\}", r"\\subsection\{(.*?)\}", r"\\subsubsection\{(.*?)\}" ])
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text, mask = set_forbidden_text(text, mask, [ r"\\bibliography\{(.*?)\}", r"\\bibliographystyle\{(.*?)\}" ])
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text, mask = set_forbidden_text(text, mask, r"\\begin\{thebibliography\}.*?\\end\{thebibliography\}", re.DOTALL)
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text, mask = set_forbidden_text(text, mask, r"\\begin\{lstlisting\}(.*?)\\end\{lstlisting\}", re.DOTALL)
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text, mask = set_forbidden_text(text, mask, r"\\begin\{wraptable\}(.*?)\\end\{wraptable\}", re.DOTALL)
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text, mask = set_forbidden_text(text, mask, r"\\begin\{algorithm\}(.*?)\\end\{algorithm\}", re.DOTALL)
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text, mask = set_forbidden_text(text, mask, [r"\\begin\{wrapfigure\}(.*?)\\end\{wrapfigure\}", r"\\begin\{wrapfigure\*\}(.*?)\\end\{wrapfigure\*\}"], re.DOTALL)
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text, mask = set_forbidden_text(text, mask, [r"\\begin\{figure\}(.*?)\\end\{figure\}", r"\\begin\{figure\*\}(.*?)\\end\{figure\*\}"], re.DOTALL)
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text, mask = set_forbidden_text(text, mask, [r"\\begin\{multline\}(.*?)\\end\{multline\}", r"\\begin\{multline\*\}(.*?)\\end\{multline\*\}"], re.DOTALL)
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text, mask = set_forbidden_text(text, mask, [r"\\begin\{table\}(.*?)\\end\{table\}", r"\\begin\{table\*\}(.*?)\\end\{table\*\}"], re.DOTALL)
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text, mask = set_forbidden_text(text, mask, [r"\\begin\{minipage\}(.*?)\\end\{minipage\}", r"\\begin\{minipage\*\}(.*?)\\end\{minipage\*\}"], re.DOTALL)
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text, mask = set_forbidden_text(text, mask, [r"\\begin\{align\*\}(.*?)\\end\{align\*\}", r"\\begin\{align\}(.*?)\\end\{align\}"], re.DOTALL)
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text, mask = set_forbidden_text(text, mask, [r"\\begin\{equation\}(.*?)\\end\{equation\}", r"\\begin\{equation\*\}(.*?)\\end\{equation\*\}"], re.DOTALL)
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text, mask = set_forbidden_text(text, mask, [r"\\includepdf\[(.*?)\]\{(.*?)\}", r"\\clearpage", r"\\newpage", r"\\appendix", r"\\tableofcontents", r"\\include\{(.*?)\}"])
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text, mask = set_forbidden_text(text, mask, [r"\\vspace\{(.*?)\}", r"\\hspace\{(.*?)\}", r"\\label\{(.*?)\}", r"\\begin\{(.*?)\}", r"\\end\{(.*?)\}", r"\\item "])
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text, mask = set_forbidden_text_careful_brace(text, mask, r"\\hl\{(.*?)\}", re.DOTALL)
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# reverse 操作必须放在最后
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text, mask = reverse_forbidden_text_careful_brace(text, mask, r"\\caption\{(.*?)\}", re.DOTALL, forbid_wrapper=True)
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text, mask = reverse_forbidden_text_careful_brace(text, mask, r"\\abstract\{(.*?)\}", re.DOTALL, forbid_wrapper=True)
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text, mask = reverse_forbidden_text(text, mask, r"\\begin\{abstract\}(.*?)\\end\{abstract\}", re.DOTALL, forbid_wrapper=True)
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root = convert_to_linklist(text, mask)
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# 修复括号
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node = root
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while True:
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string = node.string
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if node.preserve:
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node = node.next
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if node is None: break
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continue
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def break_check(string):
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str_stack = [""] # (lv, index)
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for i, c in enumerate(string):
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if c == '{':
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str_stack.append('{')
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elif c == '}':
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if len(str_stack) == 1:
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print('stack fix')
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return i
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str_stack.pop(-1)
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else:
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str_stack[-1] += c
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return -1
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bp = break_check(string)
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if bp == -1:
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pass
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elif bp == 0:
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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
|
||
|
||
|
||
|