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How to setup for local development #1026
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Hi @vigneshmanick thank you so much for opening an issue here! Very good points. Especially your first point is something we should fix. Regarding the development workflow there is indeed a disconnect in the conda world between packaging and developing a package. We are trying to address that with On the other hand, rattler-build can be used to package up many other kinds of packages (R, C/C++/ ...). FOr number 4 - do you mean to dump the logs into a file? |
Thanks for the response Yes i meant the terminal logs should be auto dumped to a file by rattler-build itself instead of having to pipe it manually. Makes it a very direct and nice cross platform solution OOB |
A PR to implement this would be great :) |
Hello devs,
I have some questions with using rattler build and hope this is the right location to post. I am testing how rattler build could work in a python c++ project which is currently being built with scikit-build-core.
General issues with rattler-build
RATTLER_CACHE_DIR
value is not being recognized ifXDG_CACHE_HOME
is not set, the value defaults to~/.cache/rattler
and this is an issue since my home folder doesn't have enough space and also is on a slower drive. To workaround, i had to set theXDG_CACHE_HOME
to the required value.pyproject.toml
and i feel the effort is duplicated in having to add another reciepe.yaml. (i guess this is what you guys are trying to solve with bringing rattler build to within the pixi?)python -m pip install -e .
do changes and finally commit and for production create a wheel withpython -m pip wheel
and use it in the production environment. What is the equivalen of this in rattler-build?Thanks!
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