Activate Environment activates even in REPLs from other languages

[toihr]

Type: Bug

Behaviour

When having the Activate Environments setting checked, the Python extension tries to activate in REPLs from other Languages i.e. Julia REPL, which is a problem as conda activate .... is not a valid Julia Code.

Steps to reproduce:

1. Install Python Extension
2. Install Julia Extension

When wanting to execute a Julia Script "Julia Execute Active File in REPL"
the conda activate ... line is always, sometimes even twice.

Diagnostic data

Output for Python in the Output panel (View→Output, change the drop-down the upper-right of the Output panel to Python)

2024-08-14 15:33:34.399 [info] Not enabling terminal env var experiment in multiroot remote workspaces
2024-08-14 15:33:34.477 [info] > conda info --json
2024-08-14 15:33:35.711 [info] Send text to terminal: conda activate planetary
2024-08-14 15:34:00.156 [info] Python interpreter path: /bin/python3

Extension version: 2024.12.3
VS Code version: Code 1.92.1 (eaa41d57266683296de7d118f574d0c2652e1fc4, 2024-08-07T20:16:39.455Z)
OS version: Windows_NT x64 10.0.22635
Modes:
Remote OS version: Linux x64 5.15.153.1-microsoft-standard-WSL2

• Python version (& distribution if applicable, e.g. Anaconda): 3.10.12
• Type of virtual environment used (e.g. conda, venv, virtualenv, etc.): Global
• Value of the python.languageServer setting: Default

User Settings

Multiroot scenario, following user settings may not apply:

languageServer: "Pylance"

Installed Extensions

Extension Name	Extension Id	Version
autoDocstring - Python Docstring Generator	njpwerner.autodocstring	0.6.1
autopep8	ms-python.autopep8	2024.0.0
GitHub Copilot	GitHub.copilot	1.221.0
GitHub Copilot Chat	GitHub.copilot-chat	0.18.1
GitLens — Git supercharged	eamodio.gitlens	15.2.3
isort	ms-python.isort	2023.10.1
JavaScript Debugger	ms-vscode.js-debug	1.92.0
Julia	julialang.language-julia	1.105.2
Jupyter	ms-toolsai.jupyter	2024.7.0
Jupyter Cell Tags	ms-toolsai.vscode-jupyter-cell-tags	0.1.9
Jupyter Notebook Renderers	ms-toolsai.jupyter-renderers	1.0.19
Jupyter Slide Show	ms-toolsai.vscode-jupyter-slideshow	0.1.6
Live Server	ritwickdey.LiveServer	5.7.9
Live Share	ms-vsliveshare.vsliveshare	1.0.5936
Path Intellisense	christian-kohler.path-intellisense	2.9.0
Pylance	ms-python.vscode-pylance	2024.8.1
Pylint	ms-python.pylint	2023.10.1
Python	ms-python.python	2024.12.2
Python Debugger	ms-python.debugpy	2024.10.0
Rainbow CSV	mechatroner.rainbow-csv	3.12.0
Table Visualizer for JavaScript Profiles	ms-vscode.vscode-js-profile-table	1.0.9
TabOut	albert.TabOut	0.2.2
Todo Tree	Gruntfuggly.todo-tree	0.0.226

System Info

Item	Value
CPUs	13th Gen Intel(R) Core(TM) i9-13900H (20 x 2995)
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 vulkan: disabled_off webgl: enabled webgl2: enabled webgpu: enabled webnn: disabled_off
Load (avg)	undefined
Memory (System)	39.64GB (10.25GB free)
Process Argv	--crash-reporter-id f5543582-acb8-470c-994d-dac2d25eca4a
Screen Reader	no
VM	0%

Item	Value
Remote	WSL: Ubuntu2
OS	Linux x64 5.15.153.1-microsoft-standard-WSL2
CPUs	13th Gen Intel(R) Core(TM) i9-13900H (20 x 0)
Memory (System)	24.46GB (13.23GB free)
VM	0%

A/B Experiments

vsliv368cf:30146710
vspor879:30202332
vspor708:30202333
vspor363:30204092
vswsl492cf:30256860
vscod805:30301674
binariesv615:30325510
vsaa593cf:30376535
py29gd2263:31024239
c4g48928:30535728
azure-dev_surveyone:30548225
962ge761:30959799
pythongtdpath:30769146
welcomedialogc:30910334
pythonnoceb:30805159
asynctok:30898717
pythonregdiag2:30936856
pythonmypyd1:30879173
h48ei257:31000450
pythontbext0:30879054
accentitlementsc:30995553
dsvsc016:30899300
dsvsc017:30899301
dsvsc018:30899302
cppperfnew:31000557
dsvsc020:30976470
pythonait:31006305
dsvsc021:30996838
g316j359:31013175
pythoncenvpt:31062603
a69g1124:31058053
dvdeprecation:31068756
dwnewjupytercf:31046870
impr_priority:31102340
refactort:31108082
pythonrstrctxt:31112756
wkspc-onlycs-t:31111718
wkspc-ranged-t:31111713

[anthonykim1]

Hello @toihr Thank you for filing the issue here. When you say you have the activate environment setting checked, are you referring to the very first one in the screenshot?:

[toihr]

@anthonykim1, yes i have Activate Environment in all Terminals created checked. I understand that this kinda means that it will activate on all Terminals. But the problem is if its not activated the environment never activates, and if I have it activated it interjects into my Julia Terminal.

This behaviour is mentioned in julia-vscode/julia-vscode#1901 which discuesses this, even though it fails to find a solution on the Julia side.

An alternative solution would be if I could specify a batch script to run before the python run commands that just contain conda activate environment_name.

[anthonykim1]

I think the workaround that was mentioned in the referenced issue is adding: julia-vscode/julia-vscode#1901 (comment)

I'm curious to investigate more on this: When your terminal activates, do you ever see the line of command that is the actual activate script?

Also, one more thing: Does adding "python.experiments.optOutFrom": ["pythonTerminalEnvVarActivation"]," in your settings.json cause any change?

Make sure to "Python Clear Cache and Reload" after you have added any new settings.

[github-actions]

Because we have not heard back with the information we requested, we are closing this issue for now. If you are able to provide the info later on, then we will be happy to re-open this issue to pick up where we left off.

Happy Coding!