File size: 24,961 Bytes
f8946c1
8a5e8bc
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f8946c1
8a5e8bc
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f8946c1
 
 
8a5e8bc
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
from toolbox import update_ui, update_ui_lastest_msg, get_log_folder
from toolbox import zip_folder, objdump, objload, promote_file_to_downloadzone
from .latex_toolbox import PRESERVE, TRANSFORM
from .latex_toolbox import set_forbidden_text, set_forbidden_text_begin_end, set_forbidden_text_careful_brace
from .latex_toolbox import reverse_forbidden_text_careful_brace, reverse_forbidden_text, convert_to_linklist, post_process
from .latex_toolbox import fix_content, find_main_tex_file, merge_tex_files, compile_latex_with_timeout

import os, shutil
import re
import numpy as np

pj = os.path.join


def split_subprocess(txt, project_folder, return_dict, opts):
    """
    break down latex file to a linked list,
    each node use a preserve flag to indicate whether it should
    be proccessed by GPT.
    """
    text = txt
    mask = np.zeros(len(txt), dtype=np.uint8) + TRANSFORM

    # 吸收title与作者以上的部分
    text, mask = set_forbidden_text(text, mask, r"^(.*?)\\maketitle", re.DOTALL)
    text, mask = set_forbidden_text(text, mask, r"^(.*?)\\begin{document}", re.DOTALL)
    # 吸收iffalse注释
    text, mask = set_forbidden_text(text, mask, r"\\iffalse(.*?)\\fi", re.DOTALL)
    # 吸收在42行以内的begin-end组合
    text, mask = set_forbidden_text_begin_end(text, mask, r"\\begin\{([a-z\*]*)\}(.*?)\\end\{\1\}", re.DOTALL, limit_n_lines=42)
    # 吸收匿名公式
    text, mask = set_forbidden_text(text, mask, [ r"\$\$([^$]+)\$\$",  r"\\\[.*?\\\]" ], re.DOTALL)
    # 吸收其他杂项
    text, mask = set_forbidden_text(text, mask, [ r"\\section\{(.*?)\}", r"\\section\*\{(.*?)\}", r"\\subsection\{(.*?)\}", r"\\subsubsection\{(.*?)\}" ])
    text, mask = set_forbidden_text(text, mask, [ r"\\bibliography\{(.*?)\}", r"\\bibliographystyle\{(.*?)\}" ])
    text, mask = set_forbidden_text(text, mask, r"\\begin\{thebibliography\}.*?\\end\{thebibliography\}", re.DOTALL)
    text, mask = set_forbidden_text(text, mask, r"\\begin\{lstlisting\}(.*?)\\end\{lstlisting\}", re.DOTALL)
    text, mask = set_forbidden_text(text, mask, r"\\begin\{wraptable\}(.*?)\\end\{wraptable\}", re.DOTALL)
    text, mask = set_forbidden_text(text, mask, r"\\begin\{algorithm\}(.*?)\\end\{algorithm\}", re.DOTALL)
    text, mask = set_forbidden_text(text, mask, [r"\\begin\{wrapfigure\}(.*?)\\end\{wrapfigure\}", r"\\begin\{wrapfigure\*\}(.*?)\\end\{wrapfigure\*\}"], re.DOTALL)
    text, mask = set_forbidden_text(text, mask, [r"\\begin\{figure\}(.*?)\\end\{figure\}", r"\\begin\{figure\*\}(.*?)\\end\{figure\*\}"], re.DOTALL)
    text, mask = set_forbidden_text(text, mask, [r"\\begin\{multline\}(.*?)\\end\{multline\}", r"\\begin\{multline\*\}(.*?)\\end\{multline\*\}"], re.DOTALL)
    text, mask = set_forbidden_text(text, mask, [r"\\begin\{table\}(.*?)\\end\{table\}", r"\\begin\{table\*\}(.*?)\\end\{table\*\}"], re.DOTALL)
    text, mask = set_forbidden_text(text, mask, [r"\\begin\{minipage\}(.*?)\\end\{minipage\}", r"\\begin\{minipage\*\}(.*?)\\end\{minipage\*\}"], re.DOTALL)
    text, mask = set_forbidden_text(text, mask, [r"\\begin\{align\*\}(.*?)\\end\{align\*\}", r"\\begin\{align\}(.*?)\\end\{align\}"], re.DOTALL)
    text, mask = set_forbidden_text(text, mask, [r"\\begin\{equation\}(.*?)\\end\{equation\}", r"\\begin\{equation\*\}(.*?)\\end\{equation\*\}"], re.DOTALL)
    text, mask = set_forbidden_text(text, mask, [r"\\includepdf\[(.*?)\]\{(.*?)\}", r"\\clearpage", r"\\newpage", r"\\appendix", r"\\tableofcontents", r"\\include\{(.*?)\}"])
    text, mask = set_forbidden_text(text, mask, [r"\\vspace\{(.*?)\}", r"\\hspace\{(.*?)\}", r"\\label\{(.*?)\}", r"\\begin\{(.*?)\}", r"\\end\{(.*?)\}", r"\\item "])
    text, mask = set_forbidden_text_careful_brace(text, mask, r"\\hl\{(.*?)\}", re.DOTALL)
    # reverse 操作必须放在最后
    text, mask = reverse_forbidden_text_careful_brace(text, mask, r"\\caption\{(.*?)\}", re.DOTALL, forbid_wrapper=True)
    text, mask = reverse_forbidden_text_careful_brace(text, mask, r"\\abstract\{(.*?)\}", re.DOTALL, forbid_wrapper=True)
    text, mask = reverse_forbidden_text(text, mask, r"\\begin\{abstract\}(.*?)\\end\{abstract\}", re.DOTALL, forbid_wrapper=True)
    root = convert_to_linklist(text, mask)

    # 最后一步处理,增强稳健性
    root = post_process(root)

    # 输出html调试文件,用红色标注处保留区(PRESERVE),用黑色标注转换区(TRANSFORM)
    with open(pj(project_folder, 'debug_log.html'), 'w', encoding='utf8') as f:
        segment_parts_for_gpt = []
        nodes = []
        node = root
        while True:
            nodes.append(node)
            show_html = node.string.replace('\n','<br/>')
            if not node.preserve:
                segment_parts_for_gpt.append(node.string)
                f.write(f'<p style="color:black;">#{node.range}{show_html}#</p>')
            else:
                f.write(f'<p style="color:red;">{show_html}</p>')
            node = node.next
            if node is None: break

    for n in nodes: n.next = None   # break
    return_dict['nodes'] = nodes
    return_dict['segment_parts_for_gpt'] = segment_parts_for_gpt
    return return_dict

class LatexPaperSplit():
    """
    break down latex file to a linked list,
    each node use a preserve flag to indicate whether it should
    be proccessed by GPT.
    """
    def __init__(self) -> None:
        self.nodes = None
        self.msg = "*{\\scriptsize\\textbf{警告:该PDF由GPT-Academic开源项目调用大语言模型+Latex翻译插件一键生成," + \
            "版权归原文作者所有。翻译内容可靠性无保障,请仔细鉴别并以原文为准。" + \
            "项目Github地址 \\url{https://github.com/binary-husky/gpt_academic/}。"
        # 请您不要删除或修改这行警告,除非您是论文的原作者(如果您是论文原作者,欢迎加REAME中的QQ联系开发者)
        self.msg_declare = "为了防止大语言模型的意外谬误产生扩散影响,禁止移除或修改此警告。}}\\\\" 


    def merge_result(self, arr, mode, msg, buggy_lines=[], buggy_line_surgery_n_lines=10):
        """
        Merge the result after the GPT process completed
        """
        result_string = ""
        node_cnt = 0
        line_cnt = 0
        
        for node in self.nodes:
            if node.preserve:
                line_cnt += node.string.count('\n')
                result_string += node.string
            else:
                translated_txt = fix_content(arr[node_cnt], node.string)
                begin_line = line_cnt
                end_line = line_cnt + translated_txt.count('\n')

                # reverse translation if any error
                if any([begin_line-buggy_line_surgery_n_lines <= b_line <= end_line+buggy_line_surgery_n_lines for b_line in buggy_lines]):
                    translated_txt = node.string

                result_string += translated_txt
                node_cnt += 1
                line_cnt += translated_txt.count('\n')

        if mode == 'translate_zh':
            pattern = re.compile(r'\\begin\{abstract\}.*\n')
            match = pattern.search(result_string)
            if not match:
                # match \abstract{xxxx}
                pattern_compile = re.compile(r"\\abstract\{(.*?)\}", flags=re.DOTALL)
                match = pattern_compile.search(result_string)
                position = match.regs[1][0]
            else:
                # match \begin{abstract}xxxx\end{abstract}
                position = match.end()
            result_string = result_string[:position] + self.msg + msg + self.msg_declare + result_string[position:]
        return result_string


    def split(self, txt, project_folder, opts): 
        """
        break down latex file to a linked list,
        each node use a preserve flag to indicate whether it should
        be proccessed by GPT.
        P.S. use multiprocessing to avoid timeout error
        """
        import multiprocessing
        manager = multiprocessing.Manager()
        return_dict = manager.dict()
        p = multiprocessing.Process(
            target=split_subprocess, 
            args=(txt, project_folder, return_dict, opts))
        p.start()
        p.join()
        p.close()
        self.nodes = return_dict['nodes']
        self.sp = return_dict['segment_parts_for_gpt']
        return self.sp


class LatexPaperFileGroup():
    """
    use tokenizer to break down text according to max_token_limit
    """
    def __init__(self):
        self.file_paths = []
        self.file_contents = []
        self.sp_file_contents = []
        self.sp_file_index = []
        self.sp_file_tag = []

        # count_token
        from request_llm.bridge_all import model_info
        enc = model_info["gpt-3.5-turbo"]['tokenizer']
        def get_token_num(txt): return len(enc.encode(txt, disallowed_special=()))
        self.get_token_num = get_token_num

    def run_file_split(self, max_token_limit=1900):
        """
        use tokenizer to break down text according to max_token_limit
        """
        for index, file_content in enumerate(self.file_contents):
            if self.get_token_num(file_content) < max_token_limit:
                self.sp_file_contents.append(file_content)
                self.sp_file_index.append(index)
                self.sp_file_tag.append(self.file_paths[index])
            else:
                from ..crazy_utils import breakdown_txt_to_satisfy_token_limit_for_pdf
                segments = breakdown_txt_to_satisfy_token_limit_for_pdf(file_content, self.get_token_num, max_token_limit)
                for j, segment in enumerate(segments):
                    self.sp_file_contents.append(segment)
                    self.sp_file_index.append(index)
                    self.sp_file_tag.append(self.file_paths[index] + f".part-{j}.tex")
        print('Segmentation: done')

    def merge_result(self):
        self.file_result = ["" for _ in range(len(self.file_paths))]
        for r, k in zip(self.sp_file_result, self.sp_file_index):
            self.file_result[k] += r

    def write_result(self):
        manifest = []
        for path, res in zip(self.file_paths, self.file_result):
            with open(path + '.polish.tex', 'w', encoding='utf8') as f:
                manifest.append(path + '.polish.tex')
                f.write(res)
        return manifest


def Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, mode='proofread', switch_prompt=None, opts=[]):
    import time, os, re
    from ..crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency
    from .latex_actions import LatexPaperFileGroup, LatexPaperSplit

    #  <-------- 寻找主tex文件 ----------> 
    maintex = find_main_tex_file(file_manifest, mode)
    chatbot.append((f"定位主Latex文件", f'[Local Message] 分析结果:该项目的Latex主文件是{maintex}, 如果分析错误, 请立即终止程序, 删除或修改歧义文件, 然后重试。主程序即将开始, 请稍候。'))
    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
    time.sleep(3)

    #  <-------- 读取Latex文件, 将多文件tex工程融合为一个巨型tex ----------> 
    main_tex_basename = os.path.basename(maintex)
    assert main_tex_basename.endswith('.tex')
    main_tex_basename_bare = main_tex_basename[:-4]
    may_exist_bbl = pj(project_folder, f'{main_tex_basename_bare}.bbl')
    if os.path.exists(may_exist_bbl):
        shutil.copyfile(may_exist_bbl, pj(project_folder, f'merge.bbl'))
        shutil.copyfile(may_exist_bbl, pj(project_folder, f'merge_{mode}.bbl'))
        shutil.copyfile(may_exist_bbl, pj(project_folder, f'merge_diff.bbl'))

    with open(maintex, 'r', encoding='utf-8', errors='replace') as f:
        content = f.read()
        merged_content = merge_tex_files(project_folder, content, mode)

    with open(project_folder + '/merge.tex', 'w', encoding='utf-8', errors='replace') as f:
        f.write(merged_content)

    #  <-------- 精细切分latex文件 ----------> 
    chatbot.append((f"Latex文件融合完成", f'[Local Message] 正在精细切分latex文件,这需要一段时间计算,文档越长耗时越长,请耐心等待。'))
    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
    lps = LatexPaperSplit()
    res = lps.split(merged_content, project_folder, opts) # 消耗时间的函数

    #  <-------- 拆分过长的latex片段 ----------> 
    pfg = LatexPaperFileGroup()
    for index, r in enumerate(res):
        pfg.file_paths.append('segment-' + str(index))
        pfg.file_contents.append(r)

    pfg.run_file_split(max_token_limit=1024)
    n_split = len(pfg.sp_file_contents)

    #  <-------- 根据需要切换prompt ----------> 
    inputs_array, sys_prompt_array = switch_prompt(pfg, mode)
    inputs_show_user_array = [f"{mode} {f}" for f in pfg.sp_file_tag]

    if os.path.exists(pj(project_folder,'temp.pkl')):

        #  <-------- 【仅调试】如果存在调试缓存文件,则跳过GPT请求环节 ----------> 
        pfg = objload(file=pj(project_folder,'temp.pkl'))

    else:
        #  <-------- gpt 多线程请求 ----------> 
        gpt_response_collection = yield from request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
            inputs_array=inputs_array,
            inputs_show_user_array=inputs_show_user_array,
            llm_kwargs=llm_kwargs,
            chatbot=chatbot,
            history_array=[[""] for _ in range(n_split)],
            sys_prompt_array=sys_prompt_array,
            # max_workers=5,  # 并行任务数量限制, 最多同时执行5个, 其他的排队等待
            scroller_max_len = 40
        )

        #  <-------- 文本碎片重组为完整的tex片段 ----------> 
        pfg.sp_file_result = []
        for i_say, gpt_say, orig_content in zip(gpt_response_collection[0::2], gpt_response_collection[1::2], pfg.sp_file_contents):
            pfg.sp_file_result.append(gpt_say)
        pfg.merge_result()

        # <-------- 临时存储用于调试 ----------> 
        pfg.get_token_num = None
        objdump(pfg, file=pj(project_folder,'temp.pkl'))

    write_html(pfg.sp_file_contents, pfg.sp_file_result, chatbot=chatbot, project_folder=project_folder)

    #  <-------- 写出文件 ----------> 
    msg = f"当前大语言模型: {llm_kwargs['llm_model']},当前语言模型温度设定: {llm_kwargs['temperature']}。"
    final_tex = lps.merge_result(pfg.file_result, mode, msg)
    objdump((lps, pfg.file_result, mode, msg), file=pj(project_folder,'merge_result.pkl'))

    with open(project_folder + f'/merge_{mode}.tex', 'w', encoding='utf-8', errors='replace') as f:
        if mode != 'translate_zh' or "binary" in final_tex: f.write(final_tex)
        

    #  <-------- 整理结果, 退出 ----------> 
    chatbot.append((f"完成了吗?", 'GPT结果已输出, 即将编译PDF'))
    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面

    #  <-------- 返回 ----------> 
    return project_folder + f'/merge_{mode}.tex'


def remove_buggy_lines(file_path, log_path, tex_name, tex_name_pure, n_fix, work_folder_modified, fixed_line=[]):
    try:
        with open(log_path, 'r', encoding='utf-8', errors='replace') as f:
            log = f.read()
        import re
        buggy_lines = re.findall(tex_name+':([0-9]{1,5}):', log)
        buggy_lines = [int(l) for l in buggy_lines]
        buggy_lines = sorted(buggy_lines)
        buggy_line = buggy_lines[0]-1
        print("reversing tex line that has errors", buggy_line)

        # 重组,逆转出错的段落
        if buggy_line not in fixed_line:
            fixed_line.append(buggy_line)

        lps, file_result, mode, msg = objload(file=pj(work_folder_modified,'merge_result.pkl'))
        final_tex = lps.merge_result(file_result, mode, msg, buggy_lines=fixed_line, buggy_line_surgery_n_lines=5*n_fix)

        with open(pj(work_folder_modified, f"{tex_name_pure}_fix_{n_fix}.tex"), 'w', encoding='utf-8', errors='replace') as f:
            f.write(final_tex)

        return True, f"{tex_name_pure}_fix_{n_fix}", buggy_lines
    except:
        print("Fatal error occurred, but we cannot identify error, please download zip, read latex log, and compile manually.")
        return False, -1, [-1]


def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_folder_original, work_folder_modified, work_folder, mode='default'):
    import os, time
    n_fix = 1
    fixed_line = []
    max_try = 32
    chatbot.append([f"正在编译PDF文档", f'编译已经开始。当前工作路径为{work_folder},如果程序停顿5分钟以上,请直接去该路径下取回翻译结果,或者重启之后再度尝试 ...']); yield from update_ui(chatbot=chatbot, history=history)
    chatbot.append([f"正在编译PDF文档", '...']); yield from update_ui(chatbot=chatbot, history=history); time.sleep(1); chatbot[-1] = list(chatbot[-1]) # 刷新界面
    yield from update_ui_lastest_msg('编译已经开始...', chatbot, history)   # 刷新Gradio前端界面

    while True:
        import os
        may_exist_bbl = pj(work_folder_modified, f'merge.bbl')
        target_bbl = pj(work_folder_modified, f'{main_file_modified}.bbl')
        if os.path.exists(may_exist_bbl) and not os.path.exists(target_bbl):
            shutil.copyfile(may_exist_bbl, target_bbl)

        # https://stackoverflow.com/questions/738755/dont-make-me-manually-abort-a-latex-compile-when-theres-an-error
        yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译原始PDF ...', chatbot, history)   # 刷新Gradio前端界面
        ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex', work_folder_original)

        yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译转化后的PDF ...', chatbot, history)   # 刷新Gradio前端界面
        ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex', work_folder_modified)
        
        if ok and os.path.exists(pj(work_folder_modified, f'{main_file_modified}.pdf')):
            # 只有第二步成功,才能继续下面的步骤
            yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译BibTex ...', chatbot, history)    # 刷新Gradio前端界面
            if not os.path.exists(pj(work_folder_original, f'{main_file_original}.bbl')):
                ok = compile_latex_with_timeout(f'bibtex  {main_file_original}.aux', work_folder_original)
            if not os.path.exists(pj(work_folder_modified, f'{main_file_modified}.bbl')):
                ok = compile_latex_with_timeout(f'bibtex  {main_file_modified}.aux', work_folder_modified)

            yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译文献交叉引用 ...', chatbot, history)  # 刷新Gradio前端界面
            ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex', work_folder_original)
            ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex', work_folder_modified)
            ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex', work_folder_original)
            ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex', work_folder_modified)

            if mode!='translate_zh':
                yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 使用latexdiff生成论文转化前后对比 ...', chatbot, history) # 刷新Gradio前端界面
                print(    f'latexdiff --encoding=utf8 --append-safecmd=subfile {work_folder_original}/{main_file_original}.tex  {work_folder_modified}/{main_file_modified}.tex --flatten > {work_folder}/merge_diff.tex')
                ok = compile_latex_with_timeout(f'latexdiff --encoding=utf8 --append-safecmd=subfile {work_folder_original}/{main_file_original}.tex  {work_folder_modified}/{main_file_modified}.tex --flatten > {work_folder}/merge_diff.tex', os.getcwd())

                yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 正在编译对比PDF ...', chatbot, history)   # 刷新Gradio前端界面
                ok = compile_latex_with_timeout(f'pdflatex  -interaction=batchmode -file-line-error merge_diff.tex', work_folder)
                ok = compile_latex_with_timeout(f'bibtex    merge_diff.aux', work_folder)
                ok = compile_latex_with_timeout(f'pdflatex  -interaction=batchmode -file-line-error merge_diff.tex', work_folder)
                ok = compile_latex_with_timeout(f'pdflatex  -interaction=batchmode -file-line-error merge_diff.tex', work_folder)

        # <---------- 检查结果 ----------->
        results_ = ""
        original_pdf_success = os.path.exists(pj(work_folder_original, f'{main_file_original}.pdf'))
        modified_pdf_success = os.path.exists(pj(work_folder_modified, f'{main_file_modified}.pdf'))
        diff_pdf_success     = os.path.exists(pj(work_folder, f'merge_diff.pdf'))
        results_ += f"原始PDF编译是否成功: {original_pdf_success};" 
        results_ += f"转化PDF编译是否成功: {modified_pdf_success};" 
        results_ += f"对比PDF编译是否成功: {diff_pdf_success};" 
        yield from update_ui_lastest_msg(f'第{n_fix}编译结束:<br/>{results_}...', chatbot, history) # 刷新Gradio前端界面

        if diff_pdf_success:
            result_pdf = pj(work_folder_modified, f'merge_diff.pdf')    # get pdf path
            promote_file_to_downloadzone(result_pdf, rename_file=None, chatbot=chatbot)  # promote file to web UI
        if modified_pdf_success:
            yield from update_ui_lastest_msg(f'转化PDF编译已经成功, 即将退出 ...', chatbot, history)    # 刷新Gradio前端界面
            result_pdf = pj(work_folder_modified, f'{main_file_modified}.pdf') # get pdf path
            origin_pdf = pj(work_folder_original, f'{main_file_original}.pdf') # get pdf path
            if os.path.exists(pj(work_folder, '..', 'translation')):
                shutil.copyfile(result_pdf, pj(work_folder, '..', 'translation', 'translate_zh.pdf'))
            promote_file_to_downloadzone(result_pdf, rename_file=None, chatbot=chatbot)  # promote file to web UI
            # 将两个PDF拼接
            if original_pdf_success: 
                try:
                    from .latex_toolbox import merge_pdfs
                    concat_pdf = pj(work_folder_modified, f'comparison.pdf')
                    merge_pdfs(origin_pdf, result_pdf, concat_pdf)
                    promote_file_to_downloadzone(concat_pdf, rename_file=None, chatbot=chatbot)  # promote file to web UI
                except Exception as e:
                    pass
            return True # 成功啦
        else:
            if n_fix>=max_try: break
            n_fix += 1
            can_retry, main_file_modified, buggy_lines = remove_buggy_lines(
                file_path=pj(work_folder_modified, f'{main_file_modified}.tex'), 
                log_path=pj(work_folder_modified, f'{main_file_modified}.log'),
                tex_name=f'{main_file_modified}.tex',
                tex_name_pure=f'{main_file_modified}',
                n_fix=n_fix,
                work_folder_modified=work_folder_modified,
                fixed_line=fixed_line
            )
            yield from update_ui_lastest_msg(f'由于最为关键的转化PDF编译失败, 将根据报错信息修正tex源文件并重试, 当前报错的latex代码处于第{buggy_lines}行 ...', chatbot, history)   # 刷新Gradio前端界面
            if not can_retry: break

    return False # 失败啦


def write_html(sp_file_contents, sp_file_result, chatbot, project_folder):
    # write html
    try:
        import shutil
        from ..crazy_utils import construct_html
        from toolbox import gen_time_str
        ch = construct_html() 
        orig = ""
        trans = ""
        final = []
        for c,r in zip(sp_file_contents, sp_file_result): 
            final.append(c)
            final.append(r)
        for i, k in enumerate(final): 
            if i%2==0:
                orig = k
            if i%2==1:
                trans = k
                ch.add_row(a=orig, b=trans)
        create_report_file_name = f"{gen_time_str()}.trans.html"
        res = ch.save_file(create_report_file_name)
        shutil.copyfile(res, pj(project_folder, create_report_file_name))
        promote_file_to_downloadzone(file=res, chatbot=chatbot)
    except:
        from toolbox import trimmed_format_exc
        print('writing html result failed:', trimmed_format_exc())