File size: 15,640 Bytes
f8946c1
17d0a32
9f9848c
 
 
 
 
 
5c0a088
9f9848c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f8946c1
9f9848c
 
 
 
 
 
 
15f14f5
9f9848c
 
 
 
 
 
971ac20
9f9848c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5c0a088
9f9848c
 
 
 
 
 
971ac20
9f9848c
 
 
 
 
 
 
 
 
 
 
 
17d0a32
9f9848c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8a5e8bc
9f9848c
 
 
 
 
 
 
 
 
 
 
 
 
17d0a32
9f9848c
 
 
 
17d0a32
9f9848c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
971ac20
 
 
9f9848c
 
 
 
 
 
8a5e8bc
9f9848c
 
 
 
 
 
 
 
 
971ac20
9f9848c
17d0a32
9f9848c
 
 
 
 
 
 
 
17d0a32
9f9848c
 
 
 
 
17d0a32
9f9848c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5c0a088
9f9848c
 
 
 
 
 
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
from toolbox import update_ui, trimmed_format_exc, get_conf, get_log_folder, promote_file_to_downloadzone
from toolbox import CatchException, report_exception, update_ui_lastest_msg, zip_result, gen_time_str
from functools import partial
import glob, os, requests, time
pj = os.path.join
ARXIV_CACHE_DIR = os.path.expanduser(f"~/arxiv_cache/")

# =================================== 工具函数 ===============================================
# 专业词汇声明  = 'If the term "agent" is used in this section, it should be translated to "智能体". '
def switch_prompt(pfg, mode, more_requirement):
    """
    Generate prompts and system prompts based on the mode for proofreading or translating.
    Args:
    - pfg: Proofreader or Translator instance.
    - mode: A string specifying the mode, either 'proofread' or 'translate_zh'.

    Returns:
    - inputs_array: A list of strings containing prompts for users to respond to.
    - sys_prompt_array: A list of strings containing prompts for system prompts.
    """
    n_split = len(pfg.sp_file_contents)
    if mode == 'proofread_en':
        inputs_array = [r"Below is a section from an academic paper, proofread this section." + 
                        r"Do not modify any latex command such as \section, \cite, \begin, \item and equations. " + more_requirement +
                        r"Answer me only with the revised text:" + 
                        f"\n\n{frag}" for frag in pfg.sp_file_contents]
        sys_prompt_array = ["You are a professional academic paper writer." for _ in range(n_split)]
    elif mode == 'translate_zh':
        inputs_array = [r"Below is a section from an English academic paper, translate it into Chinese. " + more_requirement + 
                        r"Do not modify any latex command such as \section, \cite, \begin, \item and equations. " + 
                        r"Answer me only with the translated text:" + 
                        f"\n\n{frag}" for frag in pfg.sp_file_contents]
        sys_prompt_array = ["You are a professional translator." for _ in range(n_split)]
    else:
        assert False, "未知指令"
    return inputs_array, sys_prompt_array

def desend_to_extracted_folder_if_exist(project_folder):
    """ 
    Descend into the extracted folder if it exists, otherwise return the original folder.

    Args:
    - project_folder: A string specifying the folder path.

    Returns:
    - A string specifying the path to the extracted folder, or the original folder if there is no extracted folder.
    """
    maybe_dir = [f for f in glob.glob(f'{project_folder}/*') if os.path.isdir(f)]
    if len(maybe_dir) == 0: return project_folder
    if maybe_dir[0].endswith('.extract'): return maybe_dir[0]
    return project_folder

def move_project(project_folder, arxiv_id=None):
    """ 
    Create a new work folder and copy the project folder to it.

    Args:
    - project_folder: A string specifying the folder path of the project.

    Returns:
    - A string specifying the path to the new work folder.
    """
    import shutil, time
    time.sleep(2)   # avoid time string conflict
    if arxiv_id is not None:
        new_workfolder = pj(ARXIV_CACHE_DIR, arxiv_id, 'workfolder')
    else:
        new_workfolder = f'{get_log_folder()}/{gen_time_str()}'
    try:
        shutil.rmtree(new_workfolder)
    except:
        pass

    # align subfolder if there is a folder wrapper
    items = glob.glob(pj(project_folder,'*'))
    items = [item for item in items if os.path.basename(item)!='__MACOSX']
    if len(glob.glob(pj(project_folder,'*.tex'))) == 0 and len(items) == 1:
        if os.path.isdir(items[0]): project_folder = items[0]

    shutil.copytree(src=project_folder, dst=new_workfolder)
    return new_workfolder

def arxiv_download(chatbot, history, txt, allow_cache=True):
    def check_cached_translation_pdf(arxiv_id):
        translation_dir = pj(ARXIV_CACHE_DIR, arxiv_id, 'translation')
        if not os.path.exists(translation_dir):
            os.makedirs(translation_dir)
        target_file = pj(translation_dir, 'translate_zh.pdf')
        if os.path.exists(target_file):
            promote_file_to_downloadzone(target_file, rename_file=None, chatbot=chatbot)
            return target_file
        return False
    def is_float(s):
        try:
            float(s)
            return True
        except ValueError:
            return False
    if ('.' in txt) and ('/' not in txt) and is_float(txt): # is arxiv ID
        txt = 'https://arxiv.org/abs/' + txt.strip()
    if ('.' in txt) and ('/' not in txt) and is_float(txt[:10]): # is arxiv ID
        txt = 'https://arxiv.org/abs/' + txt[:10]
    if not txt.startswith('https://arxiv.org'): 
        return txt, None
    
    # <-------------- inspect format ------------->
    chatbot.append([f"检测到arxiv文档连接", '尝试下载 ...']) 
    yield from update_ui(chatbot=chatbot, history=history)
    time.sleep(1) # 刷新界面

    url_ = txt   # https://arxiv.org/abs/1707.06690
    if not txt.startswith('https://arxiv.org/abs/'): 
        msg = f"解析arxiv网址失败, 期望格式例如: https://arxiv.org/abs/1707.06690。实际得到格式: {url_}。"
        yield from update_ui_lastest_msg(msg, chatbot=chatbot, history=history) # 刷新界面
        return msg, None
    # <-------------- set format ------------->
    arxiv_id = url_.split('/abs/')[-1]
    if 'v' in arxiv_id: arxiv_id = arxiv_id[:10]
    cached_translation_pdf = check_cached_translation_pdf(arxiv_id)
    if cached_translation_pdf and allow_cache: return cached_translation_pdf, arxiv_id

    url_tar = url_.replace('/abs/', '/e-print/')
    translation_dir = pj(ARXIV_CACHE_DIR, arxiv_id, 'e-print')
    extract_dst = pj(ARXIV_CACHE_DIR, arxiv_id, 'extract')
    os.makedirs(translation_dir, exist_ok=True)
    
    # <-------------- download arxiv source file ------------->
    dst = pj(translation_dir, arxiv_id+'.tar')
    if os.path.exists(dst):
        yield from update_ui_lastest_msg("调用缓存", chatbot=chatbot, history=history)  # 刷新界面
    else:
        yield from update_ui_lastest_msg("开始下载", chatbot=chatbot, history=history)  # 刷新界面
        proxies = get_conf('proxies')
        r = requests.get(url_tar, proxies=proxies)
        with open(dst, 'wb+') as f:
            f.write(r.content)
    # <-------------- extract file ------------->
    yield from update_ui_lastest_msg("下载完成", chatbot=chatbot, history=history)  # 刷新界面
    from toolbox import extract_archive
    extract_archive(file_path=dst, dest_dir=extract_dst)
    return extract_dst, arxiv_id
# ========================================= 插件主程序1 =====================================================    


@CatchException
def Latex英文纠错加PDF对比(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
    # <-------------- information about this plugin ------------->
    chatbot.append([ "函数插件功能?",
        "对整个Latex项目进行纠错, 用latex编译为PDF对修正处做高亮。函数插件贡献者: Binary-Husky。注意事项: 目前仅支持GPT3.5/GPT4,其他模型转化效果未知。目前对机器学习类文献转化效果最好,其他类型文献转化效果未知。仅在Windows系统进行了测试,其他操作系统表现未知。"])
    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
    
    # <-------------- more requirements ------------->
    if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
    more_req = plugin_kwargs.get("advanced_arg", "")
    _switch_prompt_ = partial(switch_prompt, more_requirement=more_req)

    # <-------------- check deps ------------->
    try:
        import glob, os, time, subprocess
        subprocess.Popen(['pdflatex', '-version'])
        from .latex_fns.latex_actions import Latex精细分解与转化, 编译Latex
    except Exception as e:
        chatbot.append([ f"解析项目: {txt}",
            f"尝试执行Latex指令失败。Latex没有安装, 或者不在环境变量PATH中。安装方法https://tug.org/texlive/。报错信息\n\n```\n\n{trimmed_format_exc()}\n\n```\n\n"])
        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
        return
    

    # <-------------- clear history and read input ------------->
    history = []
    if os.path.exists(txt):
        project_folder = txt
    else:
        if txt == "": txt = '空空如也的输入栏'
        report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
        return
    file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)]
    if len(file_manifest) == 0:
        report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
        return
    

    # <-------------- if is a zip/tar file ------------->
    project_folder = desend_to_extracted_folder_if_exist(project_folder)


    # <-------------- move latex project away from temp folder ------------->
    project_folder = move_project(project_folder, arxiv_id=None)


    # <-------------- if merge_translate_zh is already generated, skip gpt req ------------->
    if not os.path.exists(project_folder + '/merge_proofread_en.tex'):
        yield from Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin_kwargs, 
                                chatbot, history, system_prompt, mode='proofread_en', switch_prompt=_switch_prompt_)


    # <-------------- compile PDF ------------->
    success = yield from 编译Latex(chatbot, history, main_file_original='merge', main_file_modified='merge_proofread_en', 
                             work_folder_original=project_folder, work_folder_modified=project_folder, work_folder=project_folder)
    

    # <-------------- zip PDF ------------->
    zip_res = zip_result(project_folder)
    if success:
        chatbot.append((f"成功啦", '请查收结果(压缩包)...'))
        yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面
        promote_file_to_downloadzone(file=zip_res, chatbot=chatbot)
    else:
        chatbot.append((f"失败了", '虽然PDF生成失败了, 但请查收结果(压缩包), 内含已经翻译的Tex文档, 也是可读的, 您可以到Github Issue区, 用该压缩包+对话历史存档进行反馈 ...'))
        yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面
        promote_file_to_downloadzone(file=zip_res, chatbot=chatbot)

    # <-------------- we are done ------------->
    return success

# ========================================= 插件主程序2 =====================================================    

@CatchException
def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
    # <-------------- information about this plugin ------------->
    chatbot.append([
        "函数插件功能?",
        "对整个Latex项目进行翻译, 生成中文PDF。函数插件贡献者: Binary-Husky。注意事项: 此插件Windows支持最佳,Linux下必须使用Docker安装,详见项目主README.md。目前仅支持GPT3.5/GPT4,其他模型转化效果未知。目前对机器学习类文献转化效果最好,其他类型文献转化效果未知。"])
    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面

    # <-------------- more requirements ------------->
    if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
    more_req = plugin_kwargs.get("advanced_arg", "")
    no_cache = more_req.startswith("--no-cache")
    if no_cache: more_req.lstrip("--no-cache")
    allow_cache = not no_cache
    _switch_prompt_ = partial(switch_prompt, more_requirement=more_req)

    # <-------------- check deps ------------->
    try:
        import glob, os, time, subprocess
        subprocess.Popen(['pdflatex', '-version'])
        from .latex_fns.latex_actions import Latex精细分解与转化, 编译Latex
    except Exception as e:
        chatbot.append([ f"解析项目: {txt}",
            f"尝试执行Latex指令失败。Latex没有安装, 或者不在环境变量PATH中。安装方法https://tug.org/texlive/。报错信息\n\n```\n\n{trimmed_format_exc()}\n\n```\n\n"])
        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
        return
    

    # <-------------- clear history and read input ------------->
    history = []
    txt, arxiv_id = yield from arxiv_download(chatbot, history, txt, allow_cache)
    if txt.endswith('.pdf'):
        report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"发现已经存在翻译好的PDF文档")
        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
        return
    

    if os.path.exists(txt):
        project_folder = txt
    else:
        if txt == "": txt = '空空如也的输入栏'
        report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无法处理: {txt}")
        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
        return
    
    file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)]
    if len(file_manifest) == 0:
        report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
        return
    

    # <-------------- if is a zip/tar file ------------->
    project_folder = desend_to_extracted_folder_if_exist(project_folder)


    # <-------------- move latex project away from temp folder ------------->
    project_folder = move_project(project_folder, arxiv_id)


    # <-------------- if merge_translate_zh is already generated, skip gpt req ------------->
    if not os.path.exists(project_folder + '/merge_translate_zh.tex'):
        yield from Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin_kwargs, 
                                chatbot, history, system_prompt, mode='translate_zh', switch_prompt=_switch_prompt_)


    # <-------------- compile PDF ------------->
    success = yield from 编译Latex(chatbot, history, main_file_original='merge', main_file_modified='merge_translate_zh', mode='translate_zh', 
                             work_folder_original=project_folder, work_folder_modified=project_folder, work_folder=project_folder)

    # <-------------- zip PDF ------------->
    zip_res = zip_result(project_folder)
    if success:
        chatbot.append((f"成功啦", '请查收结果(压缩包)...'))
        yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面
        promote_file_to_downloadzone(file=zip_res, chatbot=chatbot)
    else:
        chatbot.append((f"失败了", '虽然PDF生成失败了, 但请查收结果(压缩包), 内含已经翻译的Tex文档, 您可以到Github Issue区, 用该压缩包进行反馈。如系统是Linux,请检查系统字体(见Github wiki) ...'))
        yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面
        promote_file_to_downloadzone(file=zip_res, chatbot=chatbot)


    # <-------------- we are done ------------->
    return success