PermissionError：[Errno 13] 权限被拒绝：尽管在 AWS EC2 实例上正确运行，但无法在浏览器上打开 Jupyter

Question

我已经在 AWS (ubuntu, eu-central-1b) 上设置了一个 EC2 实例。端口 8888（自定义 tcp 规则）、https 443 和 ssh 22 在 AWS（任何地方）上打开。我知道 chmod 400 key.pem 和 jupyter_notebook_config.py 主题。它还成功地在 EC2 实例上设置了 Anaconda3-5x 和 Jupyter。但是：我无法在浏览器（Firefox 和 Safari）上访问 Jupyter 服务器。登录 EC2 实例后启动 jupyter notebook 时，我收到 PermissionError: [Errno 13] Permission denied 错误消息。在浏览器中，我只是收到一条连接已超时错误消息。

我几乎遵循了每个教程，例如：

https://chrisalbon.com/aws/basics/run_project_jupyter_on_amazon_ec2/ 或 https://github.com/mGalarnyk/Installations_Mac_Ubuntu_Windows/tree/master/AWS

我现在尝试了几次，终止了 EC2 实例并重新设置了整个过程。但是，我仍然无法通过浏览器连接到 Jupyter 服务器。

当我尝试在浏览器中连接/输入 URL 时，确切的错误消息如下所示：

(base) ubuntu@ip-172-31-34-13:~$ jupyter notebook [I 15:44:20.930 NotebookApp] JupyterLab extension loaded from /home/ubuntu/anaconda3/lib/python3.7/site-packages/jupyterlab
[I 15:44:20.930 NotebookApp] JupyterLab application directory is /home/ubuntu/anaconda3/share/jupyter/lab
[I 15:44:20.934 NotebookApp] Serving notebooks from local directory: /home/ubuntu
[I 15:44:20.934 NotebookApp] The Jupyter Notebook is running at:
[I 15:44:20.934 NotebookApp] https://(ip-172-31-34-13 or 127.0.0.1):8888/
[I 15:44:20.934 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
Exception in callback BaseAsyncIOLoop._handle_events(6, 1)
handle: <Handle BaseAsyncIOLoop._handle_events(6, 1)>
Traceback (most recent call last):
  File "/home/ubuntu/anaconda3/lib/python3.7/asyncio/events.py", line 88, in _run
    self._context.run(self._callback, *self._args)
  File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/tornado/platform/asyncio.py", line 122, in _handle_events
    handler_func(fileobj, events)
  File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/tornado/s**tack_context.py", line 300, in null_wrapper
    return fn(*args, **kwargs)
  File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/tornado/netutil.py", line 262, in accept_handler
    callback(connection, address)
  File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/tornado/tcpserver.py", line 263, in _handle_connection
    do_handshake_on_connect=False)
  File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/tornado/netutil.py", line 565, in ssl_wrap_socket
    context = ssl_options_to_context(ssl_options)
  File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/tornado/netutil.py", line 540, in ssl_options_to_context
    context.load_cert_chain(ssl_options['certfile'], ssl_options.get('keyfile', None))**

当我使用“ https://(AWS Public DNS):8888”或“ https://(AWS IPv4 Public IP):8888”时也没有区别

我什至尝试了一个不同的端口（8889）和类似的东西。

作为信息，我的 notebook_config 是什么样的：

c = get_config()

c.IPKernelApp.pylab = 'inline'
c.NotebookApp.certfile = u'/home/ubuntu/certs/mycert.pem'
c.NotebookApp.ip = '*'
c.NotebookApp.open_browser = False
c.NotebookApp.password = u'sha1:xxxxx'
c.NotebookApp.port = 8888

Everythings 基本上设置为它们在教程中显示的那样。我试过了，就像他们在 AWS 上正式展示一样：https : //docs.aws.amazon.com/dlami/latest/devguide/setup-jupyter-config.html

Answer 1

这可能是cert.pem文件的权限错误。假设mycert.pem您的notebook_config文件中列出的目录是正确的，从通过 SSH 连接到 EC2 实例的终端，您可以使用以下命令：

sudo chown $USER:$USER /home/ubuntu/certs/mycert.pem

此问题可能重复：Jupyter 认证问题