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install-local-env.md

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Setup SCT locally development environment

This is the recommend why of building a local development environment that isn't depended on the distro python version.

To run SCT tests locally run following::

sudo ./install-prereqs.sh

# install python3.10 via pyenv
curl https://pyenv.run | bash
exec $SHELL
# go to: https://github.com/pyenv/pyenv/wiki/Common-build-problems#prerequisites
# and follow the instructions for your distribution, to install the prerequisites
# for compiling python from source
PYTHON_VERSION=`./docker/env/hydra.sh  python --version | cut -d' ' -f2 | tail -n1 |  tr -d '\r\n'`
pyenv install ${PYTHON_VERSION}

# create a virtualenv for SCT
pyenv virtualenv ${PYTHON_VERSION} sct-${PYTHON_VERSION}
pyenv activate sct-${PYTHON_VERSION}

pip install uv==0.2.24
uv pip install -r requirements.in

SCT test profiling

  • set environment variable "SCT_ENABLE_TEST_PROFILING" to 1, or add "enable_test_profiling: true" into yaml file
  • run test

After test is done there are following ways to use collected stats:

  • cat ~/latest/profile.stats/stats.txt
  • snakeviz ~/latest/profile.stats/stats.bin
  • tuna ~/latest/profile.stats/stats.bin
  • gprof2dot -f pstats ~/latest/profile.stats/stats.bin | dot -Tpng -o ~/latest/profile.stats/stats.png

Another way to profile is py-spy:

  • pip install py-spy Run recording:
  • py-spy record -s -o ./py-spy.svg -- python3 sct.py ... Run 'top' mode:
  • py-spy top -s -- python3 sct.py ...