Jupyter 内核死于 nbconvert 但不是在 jupyter

Question

我创建了一个简单的内核，它包装单元格的内容并在 jupyter 上的特定数据库中将其作为 SQL 执行。

当我在安装它的 jupyter notebook 上打开内核时，内核完全按预期工作，并且执行得很好。

但是当我尝试使用 nbconvert 执行笔记本时，它会在回复之前引发以下关于内核已死的错误。

Exception in thread Thread-31:
Traceback (most recent call last):
  File "/opt/anaconda/4.2.0/envs/py36/lib/python3.6/threading.py", line 916, in _bootstrap_inner
    self.run()
  File "/opt/anaconda/4.2.0/envs/py36/lib/python3.6/threading.py", line 864, in run
    self._target(*self._args, **self._kwargs)
  File "<ipython-input-5-d1a08220a4cf>", line 87, in threadedOperation
    ep.preprocess(nb, {'metadata': {'path': ''}})
  File "/opt/anaconda/4.2.0/envs/py36/lib/python3.6/site-packages/nbconvert/preprocessors/execute.py", line 257, in preprocess
    cwd=path)
  File "/opt/anaconda/4.2.0/envs/py36/lib/python3.6/site-packages/nbconvert/preprocessors/execute.py", line 241, in start_new_kernel
    kc.wait_for_ready(timeout=startup_timeout)
  File "/opt/anaconda/4.2.0/envs/py36/lib/python3.6/site-packages/jupyter_client/blocking/client.py", line 120, in wait_for_ready
    raise RuntimeError('Kernel died before replying to kernel_info')
RuntimeError: Kernel died before replying to kernel_info

关于可能导致这种情况的原因或我可以从哪里开始寻找答案的任何想法？

Answer 1

找到了解决方案

python3 -m ipykernel install --user

https://github.com/udacity/aind2-dl/issues/9