Merge branch 'binary-husky:master' into master
This commit is contained in:
MengDanzz
GitHub
commit
6bc91bd02e
@ -82,7 +82,14 @@ def arxiv_download(chatbot, history, txt):
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promote_file_to_downloadzone(target_file)
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return target_file
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return False
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def is_float(s):
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try:
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float(s)
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return True
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except ValueError:
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return False
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if ('.' in txt) and ('/' not in txt) and is_float(txt):
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txt = 'https://arxiv.org/abs/' + txt
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if not txt.startswith('https://arxiv.org'):
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return txt, None
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@ -198,7 +205,7 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
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# <-------------- information about this plugin ------------->
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chatbot.append([
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"函数插件功能？",
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"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: 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。"])
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"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: 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。"])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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@ -221,6 +228,8 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"发现已经存在翻译好的PDF文档")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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if os.path.exists(txt):
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project_folder = txt
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else:
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@ -228,6 +237,7 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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return
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file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)]
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if len(file_manifest) == 0:
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
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@ -261,5 +271,6 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
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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 ...'))
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yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面
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# <-------------- we are done ------------->
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return success
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@ -182,13 +182,13 @@ def test_Langchain知识库读取():
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def test_Latex():
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from crazy_functions.Latex输出PDF结果 import Latex英文纠错加PDF对比, Latex翻译中文并重新编译PDF
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txt = r"https://arxiv.org/abs/1706.03762"
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# txt = r"https://arxiv.org/abs/1706.03762"
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# txt = r"https://arxiv.org/abs/1902.03185"
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# txt = r"https://arxiv.org/abs/2305.18290"
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# txt = r"https://arxiv.org/abs/2305.17608"
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# txt = r"https://arxiv.org/abs/2211.16068" # ACE
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# txt = r"C:\Users\fuqingxu\arxiv_cache\2211.16068\workfolder" # ACE
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# txt = r"https://arxiv.org/abs/2211.16068" # ACE
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# txt = r"C:\Users\x\arxiv_cache\2211.16068\workfolder" # ACE
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txt = r"https://arxiv.org/abs/2002.09253"
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for cookies, cb, hist, msg in (Latex翻译中文并重新编译PDF)(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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cli_printer.print(cb) # print(cb)
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@ -61,8 +61,8 @@ class LinkedListNode():
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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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# 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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@ -97,11 +97,22 @@ def 寻找Latex主文件(file_manifest, mode):
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else:
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continue
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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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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.startswith("%") or (l.startswith(" ") and 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'(?<!\\)%.*', '', 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 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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@ -124,6 +135,8 @@ def merge_tex_files(project_foler, main_file, mode):
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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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pattern = re.compile(r'\\documentclass.*\n')
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match = pattern.search(main_file)
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@ -136,16 +149,6 @@ def merge_tex_files(project_foler, main_file, mode):
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if platform.system() != 'Windows':
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main_file = re.sub(r"\\documentclass\[(.*?)\]{(.*?)}", r"\\documentclass[\1,fontset=windows]{\2}",main_file)
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main_file = re.sub(r"\\documentclass{(.*?)}", r"\\documentclass[fontset=windows]{\1}",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.startswith("%") or (l.startswith(" ") and 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'(?<!\\)%.*', '', 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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@ -189,6 +192,149 @@ def fix_content(final_tex, node_string):
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final_tex = node_string # 出问题了，还原原文
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return final_tex
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def split_subprocess(txt, project_folder, return_dict):
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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 = split_worker(text, mask, r"(.*?)\\maketitle", re.DOTALL)
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# 删除iffalse注释
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text, mask = split_worker(text, mask, r"\\iffalse(.*?)\\fi", re.DOTALL)
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# 吸收在25行以内的begin-end组合
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text, mask = split_worker_begin_end(text, mask, r"\\begin\{([a-z\*]*)\}(.*?)\\end\{\1\}", re.DOTALL, limit_n_lines=25)
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# 吸收匿名公式
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text, mask = split_worker(text, mask, r"\$\$(.*?)\$\$", re.DOTALL)
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# 吸收其他杂项
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text, mask = split_worker(text, mask, r"\\section\{(.*?)\}")
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text, mask = split_worker(text, mask, r"\\section\*\{(.*?)\}")
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text, mask = split_worker(text, mask, r"\\subsection\{(.*?)\}")
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text, mask = split_worker(text, mask, r"\\subsubsection\{(.*?)\}")
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text, mask = split_worker(text, mask, r"\\bibliography\{(.*?)\}")
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text, mask = split_worker(text, mask, r"\\bibliographystyle\{(.*?)\}")
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text, mask = split_worker(text, mask, r"\\begin\{lstlisting\}(.*?)\\end\{lstlisting\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\begin\{wraptable\}(.*?)\\end\{wraptable\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\begin\{algorithm\}(.*?)\\end\{algorithm\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\begin\{wrapfigure\}(.*?)\\end\{wrapfigure\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\begin\{wrapfigure\*\}(.*?)\\end\{wrapfigure\*\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\begin\{figure\}(.*?)\\end\{figure\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\begin\{figure\*\}(.*?)\\end\{figure\*\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\begin\{multline\}(.*?)\\end\{multline\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\begin\{multline\*\}(.*?)\\end\{multline\*\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\begin\{table\}(.*?)\\end\{table\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\begin\{table\*\}(.*?)\\end\{table\*\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\begin\{minipage\}(.*?)\\end\{minipage\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\begin\{minipage\*\}(.*?)\\end\{minipage\*\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\begin\{align\*\}(.*?)\\end\{align\*\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\begin\{align\}(.*?)\\end\{align\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\begin\{equation\}(.*?)\\end\{equation\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\begin\{equation\*\}(.*?)\\end\{equation\*\}", re.DOTALL)
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text, mask = split_worker(text, mask, r"\\item ")
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text, mask = split_worker(text, mask, r"\\label\{(.*?)\}")
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text, mask = split_worker(text, mask, r"\\begin\{(.*?)\}")
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text, mask = split_worker(text, mask, r"\\vspace\{(.*?)\}")
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text, mask = split_worker(text, mask, r"\\hspace\{(.*?)\}")
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text, mask = split_worker(text, mask, r"\\end\{(.*?)\}")
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# text, mask = split_worker_reverse_caption(text, mask, r"\\caption\{(.*?)\}", re.DOTALL)
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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]
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q = LinkedListNode(string[1:], False)
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q.next = node.next
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node.next = q
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else:
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node.string = string[:bp]
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q = LinkedListNode(string[bp:], False)
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q.next = node.next
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node.next = q
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node = node.next
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if node is None: break
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# 屏蔽空行和太短的句子
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node = root
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while True:
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if len(node.string.strip('\n').strip(''))==0: node.preserve = True
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if len(node.string.strip('\n').strip(''))<42: node.preserve = True
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node = node.next
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if node is None: break
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node = root
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while True:
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if node.next and node.preserve and node.next.preserve:
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node.string += node.next.string
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node.next = node.next.next
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node = node.next
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if node is None: break
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# 将前后断行符脱离
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node = root
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prev_node = None
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while True:
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if not node.preserve:
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lstriped_ = node.string.lstrip().lstrip('\n')
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if (prev_node is not None) and (prev_node.preserve) and (len(lstriped_)!=len(node.string)):
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prev_node.string += node.string[:-len(lstriped_)]
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node.string = lstriped_
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rstriped_ = node.string.rstrip().rstrip('\n')
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if (node.next is not None) and (node.next.preserve) and (len(rstriped_)!=len(node.string)):
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node.next.string = node.string[len(rstriped_):] + node.next.string
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node.string = rstriped_
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# =====
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prev_node = node
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node = node.next
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if node is None: break
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with open(pj(project_folder, 'debug_log.html'), 'w', encoding='utf8') as f:
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segment_parts_for_gpt = []
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nodes = []
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node = root
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while True:
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nodes.append(node)
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show_html = node.string.replace('\n','<br/>')
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if not node.preserve:
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segment_parts_for_gpt.append(node.string)
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f.write(f'<p style="color:black;">#{show_html}#</p>')
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else:
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f.write(f'<p style="color:red;">{show_html}</p>')
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node = node.next
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if node is None: break
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for n in nodes: n.next = None # break
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return_dict['nodes'] = nodes
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return_dict['segment_parts_for_gpt'] = segment_parts_for_gpt
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return return_dict
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class LatexPaperSplit():
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"""
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@ -197,10 +343,7 @@ class LatexPaperSplit():
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be proccessed by GPT.
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"""
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def __init__(self) -> None:
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"""
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root是链表的根节点
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"""
|
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self.root = None
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self.nodes = None
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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，" + \
|
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"版权归原文作者所有。翻译内容可靠性无任何保障，请仔细鉴别并以原文为准。" + \
|
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"项目Github地址 \\url{https://github.com/binary-husky/gpt_academic/}。"
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@ -212,16 +355,13 @@ class LatexPaperSplit():
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Merge the result after the GPT process completed
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"""
|
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result_string = ""
|
||||
node = self.root
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p = 0
|
||||
while True:
|
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for node in self.nodes:
|
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if node.preserve:
|
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result_string += node.string
|
||||
else:
|
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result_string += fix_content(arr[p], node.string)
|
||||
p += 1
|
||||
node = node.next
|
||||
if node is None: break
|
||||
if mode == 'translate_zh':
|
||||
pattern = re.compile(r'\\begin\{abstract\}.*\n')
|
||||
match = pattern.search(result_string)
|
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@ -229,136 +369,27 @@ class LatexPaperSplit():
|
||||
result_string = result_string[:position] + self.msg + msg + self.msg_declare + result_string[position:]
|
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return result_string
|
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|
||||
def split(self, txt, project_folder):
|
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def split(self, txt, project_folder):
|
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"""
|
||||
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
|
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"""
|
||||
text = txt
|
||||
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 = split_worker(text, mask, r"(.*?)\\maketitle", re.DOTALL)
|
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# 删除iffalse注释
|
||||
text, mask = split_worker(text, mask, r"\\iffalse(.*?)\\fi", re.DOTALL)
|
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# 吸收在25行以内的begin-end组合
|
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text, mask = split_worker_begin_end(text, mask, r"\\begin\{([a-z\*]*)\}(.*?)\\end\{\1\}", re.DOTALL, limit_n_lines=25)
|
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# 吸收匿名公式
|
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text, mask = split_worker(text, mask, r"\$\$(.*?)\$\$", re.DOTALL)
|
||||
# 吸收其他杂项
|
||||
text, mask = split_worker(text, mask, r"\\section\{(.*?)\}")
|
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text, mask = split_worker(text, mask, r"\\section\*\{(.*?)\}")
|
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text, mask = split_worker(text, mask, r"\\subsection\{(.*?)\}")
|
||||
text, mask = split_worker(text, mask, r"\\subsubsection\{(.*?)\}")
|
||||
text, mask = split_worker(text, mask, r"\\bibliography\{(.*?)\}")
|
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text, mask = split_worker(text, mask, r"\\bibliographystyle\{(.*?)\}")
|
||||
text, mask = split_worker(text, mask, r"\\begin\{lstlisting\}(.*?)\\end\{lstlisting\}", re.DOTALL)
|
||||
text, mask = split_worker(text, mask, r"\\begin\{wraptable\}(.*?)\\end\{wraptable\}", re.DOTALL)
|
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text, mask = split_worker(text, mask, r"\\begin\{algorithm\}(.*?)\\end\{algorithm\}", re.DOTALL)
|
||||
text, mask = split_worker(text, mask, r"\\begin\{wrapfigure\}(.*?)\\end\{wrapfigure\}", re.DOTALL)
|
||||
text, mask = split_worker(text, mask, r"\\begin\{wrapfigure\*\}(.*?)\\end\{wrapfigure\*\}", re.DOTALL)
|
||||
text, mask = split_worker(text, mask, r"\\begin\{figure\}(.*?)\\end\{figure\}", re.DOTALL)
|
||||
text, mask = split_worker(text, mask, r"\\begin\{figure\*\}(.*?)\\end\{figure\*\}", re.DOTALL)
|
||||
text, mask = split_worker(text, mask, r"\\begin\{multline\}(.*?)\\end\{multline\}", re.DOTALL)
|
||||
text, mask = split_worker(text, mask, r"\\begin\{multline\*\}(.*?)\\end\{multline\*\}", re.DOTALL)
|
||||
text, mask = split_worker(text, mask, r"\\begin\{table\}(.*?)\\end\{table\}", re.DOTALL)
|
||||
text, mask = split_worker(text, mask, r"\\begin\{table\*\}(.*?)\\end\{table\*\}", re.DOTALL)
|
||||
text, mask = split_worker(text, mask, r"\\begin\{minipage\}(.*?)\\end\{minipage\}", re.DOTALL)
|
||||
text, mask = split_worker(text, mask, r"\\begin\{minipage\*\}(.*?)\\end\{minipage\*\}", re.DOTALL)
|
||||
text, mask = split_worker(text, mask, r"\\begin\{align\*\}(.*?)\\end\{align\*\}", re.DOTALL)
|
||||
text, mask = split_worker(text, mask, r"\\begin\{align\}(.*?)\\end\{align\}", re.DOTALL)
|
||||
text, mask = split_worker(text, mask, r"\\begin\{equation\}(.*?)\\end\{equation\}", re.DOTALL)
|
||||
text, mask = split_worker(text, mask, r"\\begin\{equation\*\}(.*?)\\end\{equation\*\}", re.DOTALL)
|
||||
text, mask = split_worker(text, mask, r"\\item ")
|
||||
text, mask = split_worker(text, mask, r"\\label\{(.*?)\}")
|
||||
text, mask = split_worker(text, mask, r"\\begin\{(.*?)\}")
|
||||
text, mask = split_worker(text, mask, r"\\vspace\{(.*?)\}")
|
||||
text, mask = split_worker(text, mask, r"\\hspace\{(.*?)\}")
|
||||
text, mask = split_worker(text, mask, r"\\end\{(.*?)\}")
|
||||
# text, mask = split_worker_reverse_caption(text, mask, r"\\caption\{(.*?)\}", re.DOTALL)
|
||||
root = convert_to_linklist(text, mask)
|
||||
|
||||
# 修复括号
|
||||
node = root
|
||||
while True:
|
||||
string = node.string
|
||||
if node.preserve:
|
||||
node = node.next
|
||||
if node is None: break
|
||||
continue
|
||||
def break_check(string):
|
||||
str_stack = [""] # (lv, index)
|
||||
for i, c in enumerate(string):
|
||||
if c == '{':
|
||||
str_stack.append('{')
|
||||
elif c == '}':
|
||||
if len(str_stack) == 1:
|
||||
print('stack fix')
|
||||
return i
|
||||
str_stack.pop(-1)
|
||||
else:
|
||||
str_stack[-1] += c
|
||||
return -1
|
||||
bp = break_check(string)
|
||||
|
||||
if bp == -1:
|
||||
pass
|
||||
elif bp == 0:
|
||||
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
|
||||
|
||||
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
|
||||
|
||||
# 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
|
||||
|
||||
with open(pj(project_folder, 'debug_log.html'), 'w', encoding='utf8') as f:
|
||||
segment_parts_for_gpt = []
|
||||
node = root
|
||||
while True:
|
||||
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
|
||||
self.root = root
|
||||
self.sp = segment_parts_for_gpt
|
||||
import multiprocessing
|
||||
manager = multiprocessing.Manager()
|
||||
return_dict = manager.dict()
|
||||
p = multiprocessing.Process(
|
||||
target=split_subprocess,
|
||||
args=(txt, project_folder, return_dict))
|
||||
p.start()
|
||||
p.join()
|
||||
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
|
||||
@ -439,7 +470,7 @@ def Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin
|
||||
|
||||
# <-------- 精细切分latex文件 ---------->
|
||||
lps = LatexPaperSplit()
|
||||
res = lps.split(merged_content, project_folder)
|
||||
res = lps.split(merged_content, project_folder) # 消耗时间的函数
|
||||
|
||||
# <-------- 拆分过长的latex片段 ---------->
|
||||
pfg = LatexPaperFileGroup()
|
||||
@ -515,7 +546,8 @@ def remove_buggy_lines(file_path, log_path, tex_name, tex_name_pure, n_fix, work
|
||||
f.writelines(file_lines)
|
||||
return True, f"{tex_name_pure}_fix_{n_fix}", buggy_lines
|
||||
except:
|
||||
return False, 0, [0]
|
||||
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, timeout=60):
|
||||
|
||||
@ -8,26 +8,17 @@ FROM fuqingxu/python311_texlive_ctex:latest
|
||||
# 指定路径
|
||||
WORKDIR /gpt
|
||||
|
||||
ARG useProxyNetwork=''
|
||||
|
||||
RUN $useProxyNetwork pip3 install gradio openai numpy arxiv rich -i https://pypi.douban.com/simple/
|
||||
RUN $useProxyNetwork pip3 install colorama Markdown pygments pymupdf -i https://pypi.douban.com/simple/
|
||||
|
||||
# 装载项目文件
|
||||
COPY . .
|
||||
|
||||
ARG useProxyNetwork=''
|
||||
|
||||
|
||||
# # # comment out below if you do not need proxy network | 如果不需要翻墙 - 从此行向下删除
|
||||
# RUN apt-get update
|
||||
# RUN apt-get install -y curl proxychains
|
||||
# RUN $useProxyNetwork curl cip.cc
|
||||
# RUN sed -i '$ d' /etc/proxychains.conf
|
||||
# RUN sed -i '$ d' /etc/proxychains.conf
|
||||
# RUN echo "socks5 127.0.0.1 10880" >> /etc/proxychains.conf
|
||||
# ARG useProxyNetwork=proxychains
|
||||
# # # comment out above if you do not need proxy network | 如果不需要翻墙 - 从此行向上删除
|
||||
|
||||
|
||||
|
||||
# 安装依赖
|
||||
RUN $useProxyNetwork pip3 install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple
|
||||
RUN $useProxyNetwork pip3 install -r requirements.txt -i https://pypi.douban.com/simple/
|
||||
|
||||
# 可选步骤，用于预热模块
|
||||
RUN python3 -c 'from check_proxy import warm_up_modules; warm_up_modules()'
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user