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microsoft / vscode-jupyter

VS Code Jupyter extension
https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter
MIT License
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detecting kernels taking a long time #13839

Closed claudiaregio closed 11 months ago

claudiaregio commented 1 year ago

Environment data

Expected behaviour

For it to detect kernels faster, I wouldn't expect longer than 3s

Actual behaviour

Took a long time for "Detecting Kernels" text + spinner to go away

Steps to reproduce:

  1. Create new notebook

Logs

Visual Studio Code (1.79.2, undefined, desktop) Jupyter Extension Version: 2023.5.1001582324. Python Extension Version: 2023.10.1. Platform: win32 (x64). Workspace folder ~\Dev\learning-csharp, Home = c:\Users\clregio User belongs to experiment group 'jupyterEnhancedDataViewer' User belongs to experiment group 'jupyterTestcf' 14:12:54.373 [info] Start refreshing Interpreter Kernel Picker (1688332374373) 14:12:54.537 [info] Using Pylance 14:13:09.605 [info] End refreshing Interpreter Kernel Picker (1688332374373) 14:13:09.608 [warn] No interpreter for Pylance for Notebook URI "Untitled-1.ipynb" 14:13:11.768 [info] Process Execution: ~\Miniconda3\python.exe -m pip list 14:15:26.396 [info] Starting Kernel startUsingPythonInterpreter, .jvsc74a57bd09e16cb08e8a63beaf1411b072454043fa9e1a88bc28e134506f9483ccbd2e699.c:\Users\\Miniconda3\python.exe.c:\Users\\Miniconda3\python.exe.-m#ipykernel_launcher (Python Path: ~\Miniconda3\python.exe, Conda, base, 3.9.5) for 'Untitled-1.ipynb' (disableUI=true) 14:15:29.394 [info] Process Execution: ~\Miniconda3\python.exe -c "import ipykernel; print(ipykernel.version); print("5dc3a68c-e34e-4080-9c3e-2a532b2ccb4d"); print(ipykernel.file)" 14:15:29.410 [info] Process Execution: ~\Miniconda3\python.exe c:\Users\.vscode\extensions\ms-toolsai.jupyter-2023.5.1001582324-win32-x64\pythonFiles\vscode_datascience_helpers\kernel_interrupt_daemon.py --ppid 7352

cwd: ~.vscode\extensions\ms-toolsai.jupyter-2023.5.1001582324-win32-x64\pythonFiles\vscode_datascience_helpers 14:15:29.735 [info] Process Execution: ~\Miniconda3\python.exe -m ipykernel_launcher --ip=127.0.0.1 --stdin=9003 --control=9001 --hb=9000 --Session.signature_scheme="hmac-sha256" --Session.key=b"3332ff80-a8ac-41b6-ba77-da0fe9dca96c" --shell=9002 --transport="tcp" --iopub=9004 --f=c:\Users\\AppData\Roaming\jupyter\runtime\kernel-v2-7352dzOX0oSmyghJ.json cwd: ~\Dev\learning-csharp 14:15:30.172 [info] ipykernel version & path 6.4.1, ~\Miniconda3\lib\site-packages\ipykernel__init__.py for ~\Miniconda3\python.exe 14:15:32.485 [info] Started Kernel base (Python 3.9.5) (pid: 10836) 14:15:32.485 [info] Started new session cd265c5e-ce39-4ea1-81c1-dfc6ac0b4662 14:15:32.613 [info] Process Execution: ~\Miniconda3\python.exe c:\Users\.vscode\extensions\ms-toolsai.jupyter-2023.5.1001582324-win32-x64\pythonFiles\printJupyterDataDir.py

NightMachinery commented 1 year ago

https://github.com/microsoft/vscode-jupyter/issues/13849

DonJayamanne commented 1 year ago

@rebornix based on the logs, it seems Jupyter has correctly cleared the refresh indicator.