Conda compatibility

Hi! I tried installing poetry alongside my miniconda env. It’s installed via the curl installer.

At first, it seems that package resolving and installing works. When I try to run the script using:

poetry run python project/script.py

It emit the error saying that package is not found, which can be found in poetry show.

I’m not sure if this is actually conda related issue or just misuse of the CLI. Would be nice to know how I can get it working with poetry. Seems like a really nice project. Thx

[adamgranthendry]

@sdispater I think everyone is missing a key point here: poetry only support pure python wheels. conda comes with many packages built and optimized for speed targeting specific platforms, which is needed for many scientific applications (e.g. numpy+mkl, Intel embree, support for SSE and AVX instruction sets, etc.). Until poetry can support these packages for heavy-lifting data science applications, I don’t think poetry will be much use at all to the data scientist.

[ryanfeather]

In addition to the above, I had to configure poetry to not create a new virtualenv to use the conda env::

poetry config settings.virtualenvs.path $CONDA_ENV_PATH
poetry config settings.virtualenvs.create 0

It seems like an inevitability that you are going use pip for something when using conda, so at the very least having the poetry wrapper over top is a bonus, as long as you’re basically using conda as just a python vendor as @darrenleeweber describes. It seems like the “right” way to mix the two would be to create a CondaEnv and CondaInstaller that are somehow configurable within. I’m definitely not enough of a conda internals expert to attempt this though.

Given the necessity of managing scientific and numerical dependencies for python projects it sure would be nice if there really was “one-- and preferably only one --obvious way to do it.”