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Spyder Cannot Connect to Kernel

See original GitHub issue

Description

What steps will reproduce the problem?

Install Spyder 5.3.1. Open Spyder. Then it never connects to the kernel. It sticks on “Connecting to Kernel”. I also tried starting Spyder from Anaconda Prompt, and received the following traceback.

AttributeError: '_asyncio.Future' object has no attribute 'index'
ERROR:tornado.application:Exception in callback functools.partial(<function ZMQStream._update_handler.<locals>.<lambda> at 0x000001A4F3FAFE20>)
Traceback (most recent call last):
  File "C:\Users\<user>\Anaconda3\envs\gispy\lib\site-packages\tornado\ioloop.py", line 741, in _run_callback
    ret = callback()
  File "C:\Users\<user>\Anaconda3\envs\gispy\lib\site-packages\zmq\eventloop\zmqstream.py", line 661, in <lambda>
    self.io_loop.add_callback(lambda: self._handle_events(self.socket, 0))
  File "C:\Users\<user>\Anaconda3\envs\gispy\lib\site-packages\zmq\eventloop\zmqstream.py", line 577, in _handle_events
    self._handle_recv()
  File "C:\Users\<user>\Anaconda3\envs\gispy\lib\site-packages\zmq\eventloop\zmqstream.py", line 606, in _handle_recv
    self._run_callback(callback, msg)
  File "C:\Users\<user>\Anaconda3\envs\gispy\lib\site-packages\zmq\eventloop\zmqstream.py", line 556, in _run_callback
    callback(*args, **kwargs)
  File "C:\Users\<user>\Anaconda3\envs\gispy\lib\site-packages\jupyter_client\threaded.py", line 117, in _handle_recv
    ident, smsg = self.session.feed_identities(msg_list)
  File "C:\Users\<user>\Anaconda3\envs\gispy\lib\site-packages\jupyter_client\session.py", line 968, in feed_identities
    idx = msg_list.index(DELIM)
AttributeError: '_asyncio.Future' object has no attribute 'index'

Versions

Spyder version: 5.3.1
Python version: 3.10.4
Qt version: 5.12.9
PyQt5 version: 5.12.3
Operating System: Windows 10

Dependencies

# Mandatory:
atomicwrites >=1.2.0          :  1.4.0 (OK)
chardet >=2.0.0               :  4.0.0 (OK)
cloudpickle >=0.5.0           :  2.1.0 (OK)
cookiecutter >=1.6.0          :  2.1.1 (OK)
diff_match_patch >=20181111   :  20200713 (OK)
intervaltree >=3.0.2          :  3.0.2 (OK)
IPython >=7.31.1;<8.0.0       :  7.33.0 (OK)
jedi >=0.17.2;<0.19.0         :  0.18.1 (OK)
jellyfish >=0.7               :  0.9.0 (OK)
jsonschema >=3.2.0            :  4.6.0 (OK)
keyring >=17.0.0              :  23.5.1 (OK)
nbconvert >=4.0               :  6.5.0 (OK)
numpydoc >=0.6.0              :  1.2.1 (OK)
paramiko >=2.4.0              :  2.11.0 (OK)
parso >=0.7.0;<0.9.0          :  0.8.3 (OK)
pexpect >=4.4.0               :  4.8.0 (OK)
pickleshare >=0.4             :  0.7.5 (OK)
psutil >=5.3                  :  5.9.1 (OK)
pygments >=2.0                :  2.12.0 (OK)
pylint >=2.5.0                :  2.14.1 (OK)
pyls_spyder >=0.4.0           :  0.4.0 (OK)
pylsp >=1.4.1;<1.5.0          :  1.4.1 (OK)
pylsp_black >=1.2.0           :  1.2.1 (OK)
qdarkstyle >=3.0.2;<3.1.0     :  3.0.3 (OK)
qstylizer >=0.1.10            :  0.2.1 (OK)
qtawesome >=1.0.2             :  1.1.1 (OK)
qtconsole >=5.3.0;<5.4.0      :  5.3.1 (OK)
qtpy >=2.1.0                  :  2.1.0 (OK)
rtree >=0.9.7                 :  1.0.0 (OK)
setuptools >=49.6.0           :  62.3.2 (OK)
sphinx >=0.6.6                :  5.0.1 (OK)
spyder_kernels >=2.3.1;<2.4.0 :  2.3.1 (OK)
textdistance >=4.2.0          :  4.2.2 (OK)
three_merge >=0.1.1           :  0.1.1 (OK)
watchdog >=0.10.3             :  2.1.8 (OK)
zmq >=22.1.0                  :  23.1.0 (OK)

# Optional:
cython >=0.21                 :  None (NOK)
matplotlib >=3.0.0            :  3.5.2 (OK)
numpy >=1.7                   :  1.22.4 (OK)
pandas >=1.1.1                :  1.4.2 (OK)
scipy >=0.17.0                :  1.8.1 (OK)
sympy >=0.7.3                 :  None (NOK)

Issue Analytics

State:
Created a year ago
Comments:6 (2 by maintainers)

Top GitHub Comments

1reaction

steff456commented, Jun 7, 2022

Hi guys!

As @dalthviz already mentioned please use the main issue https://github.com/spyder-ide/spyder/issues/18174 to discuss about possible fixes. I’m going to close this one.

Thanks a lot for reporting!

1reaction

Mushozcommented, Jun 7, 2022

@dalthviz that could definitely be possible. Looking at the changelog for that package in Arch’s repository, I can see that it was upgraded yesterday and today, which coincides with when the issues started.

Edit: Changelog for reference: https://github.com/archlinux/svntogit-community/commits/packages/python-jupyter_client/trunk

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