Discovering Python Interpreter blocks UI and Kernel on Remote Hosts

[dokutoshi]

Type: Bug

1. Connect to a remote host
2. Use command palette to select a python interpreter.
3. Discovering Python Interpreters process starts and does not terminate

Blocks subsequent actions e.g Command Paletter Python Report Issue blocked, Run operation in notebook blocked, etc.
Note the cell does not execute while the Discovering Python Interpreter is active.
The process does not terminate even monitoring over 40 minutes.
Note, the Discovery process terminates on local host, not connected to a remote.

VS Code version: Code 1.90.0 (89de5a8d4d6205e5b11647eb6a74844ca23d2573, 2024-06-04T19:34:48.028Z)
OS version: Darwin arm64 23.5.0
Modes:
Remote OS version: Linux x64 6.5.0-1020-aws

System Info

Item	Value
CPUs	Apple M1 (8 x 2400)
GPU Status	2d_canvas: enabled canvas_oop_rasterization: enabled_on direct_rendering_display_compositor: disabled_off_ok gpu_compositing: enabled multiple_raster_threads: enabled_on opengl: enabled_on rasterization: enabled raw_draw: disabled_off_ok skia_graphite: disabled_off video_decode: enabled video_encode: enabled webgl: enabled webgl2: enabled webgpu: enabled
Load (avg)	2, 2, 2
Memory (System)	16.00GB (1.58GB free)
Process Argv	--crash-reporter-id c34a5dda-8d8c-4391-ab65-442321cfa1cb
Screen Reader	no
VM	0%

Item	Value
Remote	SSH: DL_OCR_Leo_Ubuntu_New_Adam
OS	Linux x64 6.5.0-1020-aws
CPUs	AMD EPYC 7R32 (32 x 0)
Memory (System)	124.43GB (99.76GB free)
VM	0%

Extensions (18)

Extension	Author (truncated)	Version
vsc-python-indent	Kev	1.18.0
jupyter-keymap	ms-	1.1.2
remote-ssh	ms-	0.110.1
remote-ssh-edit	ms-	0.86.0
vscode-remote-extensionpack	ms-	0.25.0
material-icon-theme	PKi	5.3.0
jinja	who	0.0.8
black-formatter	ms-	2024.2.0
debugpy	ms-	2024.6.0
python	ms-	2024.8.0
datawrangler	ms-	1.2.0
jupyter	ms-	2024.5.0
jupyter-keymap	ms-	1.1.2
jupyter-renderers	ms-	1.0.18
tensorboard	ms-	2023.10.1002992421
vscode-jupyter-cell-tags	ms-	0.1.9
vscode-jupyter-slideshow	ms-	0.1.6
intellicode-api-usage-examples	Vis	0.2.8

A/B Experiments

vsliv368:30146709
vspor879:30202332
vspor708:30202333
vspor363:30204092
vscorecescf:30445987
vscod805cf:30301675
binariesv615:30325510
vsaa593:30376534
py29gd2263:31024239
c4g48928:30535728
azure-dev_surveyone:30548225
a9j8j154:30646983
962ge761:30959799
pythongtdpath:30769146
welcomedialogc:30910334
pythonidxpt:30866567
pythonnoceb:30805159
asynctok:30898717
pythontestfixt:30902429
pythonregdiag2:30936856
pythonmypyd1:30879173
2e7ec940:31000449
pythontbext0:30879054
accentitlementsc:30995553
dsvsc016:30899300
dsvsc017:30899301
dsvsc018:30899302
cppperfnew:31000557
dsvsc020:30976470
pythonait:31006305
jchc7451:31067544
chatpanelt:31048053
dsvsc021:30996838
bdiig495:31013172
pythoncenvpt:31062603
a69g1124:31058053
dvdeprecation:31068756
pythonprt:31056678
dwnewjupyter:31046869
26j00206:31048877

[DonJayamanne]

I'm sorry I missed this issue, @dokutoshi are you still running into this issue?
Please can you share the logs from the Python output panel (usie the command Python: Show Output to get to the logs)

[dokutoshi]

@DonJayamanne yes this is related to the following ticket. #23452
It appears with a large number of files e.g. an image dir with 1 million images, the python interpreter continually runs. which disrupts active running kernels and other UI activities. This issue occurs locally and remotely.