file can't find package in venv even it's already enabled

Issue Type: Bug

Behaviour

Expected vs. Actual

Python extension should look for packages installed in venv, but doesn’t. Which causes the intellisense and debug failed to run due to “package not found” error.

Steps to reproduce:

1. connect to remote host
2. set up and enable one venv with pandas package.
3. pandas package can’t be located so intellisense will report can’t find package error, and debug on python file failed to run also due to package error.

Diagnostic data

• Python version (& distribution if applicable, e.g. Anaconda): 3.8.10
• Type of virtual environment used (e.g. conda, venv, virtualenv, etc.): Global
• Value of the python.languageServer setting: Default

User Settings

defaultLS: {"defaultLSType":"Pylance"}

downloadLanguageServer: true

envFile: "<placeholder>"

venvPath: "<placeholder>"

venvFolders: "<placeholder>"

condaPath: "<placeholder>"

pipenvPath: "<placeholder>"

poetryPath: "<placeholder>"

languageServer: "Pylance"

linting
• enabled: true
• cwd: "<placeholder>"
• Flake8Args: "<placeholder>"
• flake8Enabled: false
• flake8Path: "<placeholder>"
• lintOnSave: true
• banditArgs: "<placeholder>"
• banditEnabled: false
• banditPath: "<placeholder>"
• mypyArgs: "<placeholder>"
• mypyEnabled: false
• mypyPath: "<placeholder>"
• pycodestyleArgs: "<placeholder>"
• pycodestyleEnabled: false
• pycodestylePath: "<placeholder>"
• prospectorArgs: "<placeholder>"
• prospectorEnabled: false
• prospectorPath: "<placeholder>"
• pydocstyleArgs: "<placeholder>"
• pydocstyleEnabled: false
• pydocstylePath: "<placeholder>"
• pylamaArgs: "<placeholder>"
• pylamaEnabled: false
• pylamaPath: "<placeholder>"
• pylintArgs: "<placeholder>"
• pylintPath: "<placeholder>"

sortImports
• args: "<placeholder>"
• path: "<placeholder>"

formatting
• autopep8Args: "<placeholder>"
• autopep8Path: "<placeholder>"
• provider: "autopep8"
• blackArgs: "<placeholder>"
• blackPath: "<placeholder>"
• yapfArgs: "<placeholder>"
• yapfPath: "<placeholder>"

testing
• cwd: "<placeholder>"
• debugPort: 3000
• nosetestArgs: "<placeholder>"
• nosetestsEnabled: undefined
• nosetestPath: "<placeholder>"
• promptToConfigure: true
• pytestArgs: "<placeholder>"
• pytestEnabled: false
• pytestPath: "<placeholder>"
• unittestArgs: "<placeholder>"
• unittestEnabled: false
• autoTestDiscoverOnSaveEnabled: true

terminal
• activateEnvironment: true
• executeInFileDir: "<placeholder>"
• launchArgs: "<placeholder>"

experiments
• enabled: true
• optInto: []
• optOutFrom: []

tensorBoard
• logDirectory: "<placeholder>"

Extension version: 2022.4.0 VS Code version: Code 1.66.0 (e18005f0f1b33c29e81d732535d8c0e47cafb0b5, 2022-03-30T05:50:14.623Z) OS version: Windows_NT x64 10.0.22000 Restricted Mode: No Remote OS version: Linux x64 5.13.0-39-generic Remote OS version: Linux x64 5.13.0-39-generic

System Info

Item	Value
CPUs	12th Gen Intel® Core™ i9-12900H (20 x 2918)
GPU Status	2d_canvas: enabled canvas_oop_rasterization: disabled_off direct_rendering_display_compositor: disabled_off_ok gpu_compositing: enabled multiple_raster_threads: enabled_on oop_rasterization: enabled opengl: enabled_on rasterization: enabled raw_draw: disabled_off_ok skia_renderer: enabled_on video_decode: enabled video_encode: unavailable_off vulkan: disabled_off webgl: enabled webgl2: enabled
Load (avg)	undefined
Memory (System)	31.67GB (19.37GB free)
Process Argv	–crash-reporter-id 3016292f-22c4-4da5-a8cd-6e1f94c25bf6
Screen Reader	no
VM	0%

Item	Value
Remote	SSH:
OS	Linux x64 5.13.0-39-generic
CPUs	11th Gen Intel® Core™ i7-11700 @ 2.50GHz (16 x 3223)
Memory (System)	31.03GB (22.05GB free)
VM	0%

Item	Value
Remote	SSH:
OS	Linux x64 5.13.0-39-generic
CPUs	11th Gen Intel® Core™ i7-11700 @ 2.50GHz (16 x 3223)
Memory (System)	31.03GB (22.05GB free)
VM	0%

A/B Experiments

vsliv368cf:30146710
vsreu685:30147344
python383:30185418
vspor879:30202332
vspor708:30202333
vspor363:30204092
pythonvspyl392:30443607
pythontb:30283811
pythonvspyt551cf:30345471
pythonptprofiler:30281270
vsdfh931cf:30280410
vshan820:30294714
vstes263cf:30335440
vscorecescf:30445987
pythondataviewer:30285071
vscod805cf:30301675
pythonvspyt200:30340761
binariesv615:30325510
bridge0708:30335490
bridge0723:30353136
vsaa593cf:30376535
vsc1dst:30438360
pythonvs932:30410667
wslgetstarted:30449410
pythonvsnew555:30457759
vscscmwlcmt:30465135
pynewfile477:30463512

[RoadToDream]

Glad to hear you found a workaround! What do you mean by reenabling the venv?

For reenabling the vnev, I mean select a python interpreter other than the one used in the current venv and then select back.

[RoadToDream]

Hi @kimadeline, hope you are doing well! Yes, I select the correct venv for vscode interpreter. I have attached a screenshot of my configuration. As shown in the picture below, I have selected the python interpreter, and pandas is installed in the venv, but intellisense will report “could not be resolved from source” error, debug failed to run also due to the same error.