CondaPkg opt out doesn't work

[aditya-sengupta]

Affects: PythonCall

Describe the bug Opting out of CondaPkg.jl by setting an environment variable as stated in the documentation doesn't work.

Steps to reproduce: in a directory with a Python venv, run

ENV["JULIA_CONDAPKG_BACKEND"] = "Null"
ENV["JULIA_PYTHONCALL_EXE"] = "./.venv/bin/python"
using PythonCall
pyexec("import sys; print(sys.executable)", Main)

Expected output is /path/to/pwd/.venv/bin/python, actual output is /path/to/pwd/.CondaPkg/env/bin/python.

Your system Please provide detailed information about your system:

• MacOS Ventura 13.2.1 on a 2021 MacBook Pro with Apple M1 Pro chip
• Julia 1.8.5, Python 3.10.10 (desired, in venv) and Python 3.11.3 (undesired, in Conda), PythonCall v0.9.12,

  
  julia> versioninfo()
  Julia Version 1.8.5
  Commit 17cfb8e65ea (2023-01-08 06:45 UTC)
  Platform Info:
  OS: macOS (arm64-apple-darwin21.5.0)
  CPU: 10 × Apple M1 Pro
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, apple-m1)
  Threads: 8 on 8 virtual cores
  Environment:
  JULIA_NUM_THREADS = 8

(testproject) pkg> status Project TestProject v0.1.0 Status ~/projects/testproject/Project.toml [15e1cf62] NPZ v0.4.3 [6099a3de] PythonCall v0.9.12 [276daf66] SpecialFunctions v2.2.0 [bc48ee85] Tullio v0.3.5

**Additional context**
I'm doing this so I can import a Python library on a local path and keep using modified versions of it, like with `conda develop` or `pip install -e`. I initially got it working by installing in the venv and pyimporting from there, but that doesn't seem to work now. If there's a way to do `conda develop`-style importing from CondaPkg I'd be okay with that too!

[cjdoris]

I can't reproduce this issue. My guess is that you already have PythonCall loaded in the Julia session before you run that code. Perhaps you have using PythonCall in your startup.jl?

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[github-actions[bot]]

This issue has been closed because it has been stale for 7 days. You can re-open it if it is still relevant.

[aditya-sengupta]

Was going back through my old issues and I also found I couldn't reproduce this - I think you were probably right that I had run something in my Julia session before.