Status bar showing idle status for a busy kernel when switching notebooks
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评估
调研方向
通过在 notebook_1.ipynb 中运行一个较长的单元格、让 notebook_2.ipynb 保持 idle 状态并在两者之间切换来复现该问题。检查 IOPub execution_state 消息；报告称这些消息会以交替的 idle 和 busy 状态到达两次；当状态栏始终为正在运行的 notebook 显示 busy 时即表示完成。
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描述
Description
Jupyter lab status bar is showing that the kernel is idle even though the kernel is busy as seen in the top right kernel status tab. This occurs when we switch between an idle notebook and a busy notebook.
Reproduce
- Create a new notebook named notebook_1.ipynb. Add a long running script in a cell and execute the same.
- Create a second notebook named notebook_2.ipynb. Assign a kernel and wait until kernel is idle.
- Switch between notebook_1.ipynb and notebook_2.ipynb.
- Check status bar of notebook_1.ipynb. Kernel status will be shown as idle instead of busy.
Expected behaviour
Kernel status of busy notebook should be shown as busy instead of idle.
Context
- Operating System and version: macOS Monterey, version 12.6.4
- Browser and version: Chrome 113.0.5672.92
- JupyterLab version: 3.6.3 and 4.0.0
- ipykernel version : 6.16.2
- ipython version : 7.34.0
package versions
aiofiles==22.1.0 aiosqlite==0.19.0 anyio==3.6.2 appnope==0.1.3 argon2-cffi==21.3.0 argon2-cffi-bindings==21.2.0 arrow==1.2.3 attrs==23.1.0 Babel==2.12.1 backcall==0.2.0 beautifulsoup4==4.12.2 bleach==6.0.0 cached-property==1.5.2 certifi==2023.5.7 cffi==1.15.1 charset-normalizer==3.1.0 debugpy==1.6.7 decorator==5.1.1 defusedxml==0.7.1 entrypoints==0.4 fastjsonschema==2.17.1 fqdn==1.5.1 idna==3.4 importlib-metadata==6.6.0 importlib-resources==5.12.0 ipykernel==6.16.2 ipython==7.34.0 ipython-genutils==0.2.0 isoduration==20.11.0 jedi==0.18.2 Jinja2==3.1.2 json5==0.9.14 jsonpointer==2.3 jsonschema==4.17.3 jupyter-events==0.6.3 jupyter-server==1.24.0 jupyter-ydoc==0.2.4 jupyter_client==7.4.9 jupyter_core==4.12.0 jupyter_server_fileid==0.9.0 jupyter_server_ydoc==0.8.0 jupyterlab==3.6.3 jupyterlab-pygments==0.2.2 jupyterlab_server==2.22.1 MarkupSafe==2.1.2 matplotlib-inline==0.1.6 mistune==2.0.5 nbclassic==1.0.0 nbclient==0.7.4 nbconvert==7.4.0 nbformat==5.8.0 nest-asyncio==1.5.6 notebook==6.5.4 notebook_shim==0.2.3 packaging==23.1 pandocfilters==1.5.0 parso==0.8.3 pexpect==4.8.0 pickleshare==0.7.5 pkgutil_resolve_name==1.3.10 prometheus-client==0.16.0 prompt-toolkit==3.0.38 psutil==5.9.5 ptyprocess==0.7.0 pycparser==2.21 Pygments==2.15.1 pyrsistent==0.19.3 python-dateutil==2.8.2 python-json-logger==2.0.7 pytz==2023.3 PyYAML==6.0 pyzmq==25.0.2 requests==2.30.0 rfc3339-validator==0.1.4 rfc3986-validator==0.1.1 Send2Trash==1.8.2 six==1.16.0 sniffio==1.3.0 soupsieve==2.4.1 terminado==0.17.1 tinycss2==1.2.1 tomli==2.0.1 tornado==6.2 traitlets==5.9.0 typing_extensions==4.5.0 uri-template==1.2.0 urllib3==2.0.2 wcwidth==0.2.6 webcolors==1.13 webencodings==0.5.1 websocket-client==1.5.2 y-py==0.5.9 ypy-websocket==0.8.2 zipp==3.15.0
https://github.com/jupyterlab/jupyterlab/assets/6435143/46594eec-75e3-4fcb-9ece-4b25360dedbd
Original issue was opened as jupyterlab/jupyterlab#14578. Migration requested by brijsiyag
IOpub messages received twice with alternate execution_state as idle and busy. This leads to the inconsistent behaviour.
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