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defer installation of some CIL run requirements after build #937

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@paskino paskino commented Feb 11, 2025

Defers the installation of CIL run requirements which confuse CMake.

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paskino commented Feb 11, 2025

There is an issue with Gadgetron or dcmtk and GCC? https://github.com/SyneRBI/SIRF-SuperBuild/actions/runs/13265453075/job/37031643450?pr=937

/usr/include/dcmtk/ofstd/ofstdinc.h:121:2: error: #error "Macro INCLUDE_CSTRING not supported anymore. Include <cstring> directly."
  121 | #error "Macro INCLUDE_CSTRING not supported anymore. Include <cstring> directly."

This is the error on my docker instance, potentially I haven't redirected stderr so the output seems incomplete.

#24 86.45 ninja: build stopped: subcommand failed.
#24 86.45 ninja: build stopped: subcommand failed.
#24 ERROR: process "/bin/bash -o pipefail -c BUILD_FLAGS=\"-G Ninja -DCMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE} -DSTIR_ENABLE_OPENMP=${STIR_ENABLE_OPENMP} -DUSE_SYSTEM_Armadillo=${USE_SYSTEM_Armadillo} -DUSE_SYSTEM_Boost=${USE_SYSTEM_Boost} -DUSE_SYSTEM_FFTW3=${USE_SYSTEM_FFTW3} -DUSE_SYSTEM_HDF5=${USE_SYSTEM_HDF5} -DUSE_ITK=${USE_ITK} -DUSE_SYSTEM_SWIG=${USE_SYSTEM_SWIG} -DUSE_NiftyPET=${USE_NiftyPET} -DBUILD_siemens_to_ismrmrd=${BUILD_siemens_to_ismrmrd} -DBUILD_pet_rd_tools=${BUILD_pet_rd_tools} -DGadgetron_USE_CUDA=${Gadgetron_USE_CUDA} -DBUILD_CIL=${BUILD_CIL}\"  EXTRA_BUILD_FLAGS=\"${EXTRA_BUILD_FLAGS}\"  bash /opt/scripts/user_sirf-ubuntu.sh  && fix-permissions /opt/SIRF-SuperBuild /opt/ccache" did not complete successfully: exit code: 1

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There is. gadgetron/gadgetron#1277. However, this shouldn't occur on ubuntu 22.04. Does it say somewhere what version of dcmtk is being used?

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paskino commented Feb 12, 2025

Good spot! My docker image says it's 24.04

(base) root@2a418c82a9b7:~# lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description:    Ubuntu 24.04.1 LTS
Release:        24.04
Codename:       noble

I suppose the base docker image has upgraded to 24.04 more or less recently without us noticying.

ARG BASE_CONTAINER=quay.io/jupyter/scipy-notebook:latest

We hit a similar issue but for a too old image with CIL.

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paskino commented Feb 12, 2025

On my docker instance with the ubuntu-22.04 base image it builds

(base) root@2035ef435116:/opt/SIRF-SuperBuild# lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description:    Ubuntu 22.04.4 LTS
Release:        22.04
Codename:       jammy

Dockerfile Outdated
sed -r -i -e '/^\s*- (cil|ccpi-regulariser).*/d' /opt/scripts/requirements.yml; \
sed -r -i -e '/^\s*- (cil|ccpi-regulariser|h5py|dxchange).*/d' /opt/scripts/requirements.yml; \
else \
sed -r -i -e '/^\s*- (h5py|dxchange|cil|ccpi-regulariser|pillow|olefile|pywavelets|cil-data|tqdm|numba|zenodo_get).*/d' /opt/scripts/requirements.yml; \
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I think SIRF-exercises do need numba and tqdm, zenodo_get would be useful as well

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Why did you move the python setup later on GHA? GHA is using the system python and pip. This doesn't have anything to do with conda discussions/problems on docker.

By the way, why not pin the hdf5 version (both conda and pip I guess to be the same as the system one. Then it wouldn't matter which one is picked up. For conda, I suppose we'd still need to install cxx-compiler to avoid what we saw at #935 (comment)

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paskino commented Feb 13, 2025

Let's try to install hdf5 from conda/pip of the same version of the system one to minimise incompatibilities.

Comment on lines 165 to 178
- uses: actions/setup-python@v5
with:
python-version: '${{ steps.deps.outputs.python-version }}'
cache: pip
- name: pip install
working-directory: docker
run: PYTHON_EXECUTABLE=python3 PYTHON_INSTALL_DIR="$HOME/virtualenv" ./user_python-ubuntu.sh
- uses: hendrikmuhs/ccache-action@v1
with:
key: ${{ matrix.os }}-${{ env.COMPILER }}-${{ matrix.compiler_version }}-${{ env.BUILD_TYPE }}-${{ github.ref_name }}-${{ github.run_id }}
restore-keys: |
${{ matrix.os }}-${{ env.COMPILER }}-${{ matrix.compiler_version }}-${{ env.BUILD_TYPE }}-${{ github.ref_name }}
${{ matrix.os }}-${{ env.COMPILER }}-${{ matrix.compiler_version }}-${{ env.BUILD_TYPE }}
append-timestamp: false
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let's revert this once the same version of HDF5 that is in the system is installed via pip/conda.

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Seems we're on a long path here...

- pillow # cil
- olefile >=0.46 # cil
- pywavelets # cil
- cil-data >=21.3.0 # cil
- ipp >=2021.10 # cil
- tqdm # cil
- numba # cil
- h5py # gadgetron and CIL
- hdf5 # gadgetron and CIL
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and STIR actually

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I meant, hdf5 is needed by STIR

- Udated Versions:
- Docker image updates:
- defer installation of CIL requirements after build (#937)
- Updated Versions:
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looks like you need to list gadgetron update as well.

@@ -25,19 +25,27 @@ ARG BUILD_CIL="OFF"
COPY docker/requirements.yml /opt/scripts/
# https://jupyter-docker-stacks.readthedocs.io/en/latest/using/common.html#conda-environments
# https://github.com/TomographicImaging/CIL/blob/master/Dockerfile
# First remove the CIL run-dependencies from requirements.yml as they install hdf5 and CMake gets confused
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no longer correct comment?

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not correct indeed, but it's still not passing unittests!

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paskino commented Feb 26, 2025

I tried armadillo from conda-forge but the superbuild didn't find the devel files.

Yes, as usual this is a long and painful road.

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paskino commented Feb 26, 2025

I get the following error on Gadgetron configuration. Indeed the system boost is 1.78.0.3 on Ubuntu 22.04

CMake Error at /usr/local/share/cmake-3.29/Modules/FindPackageHandleStandardArgs.cmake:230 (message):
  Could NOT find Boost: Found unsuitable version "1.74.0", but required is at
  least "1.80.0" (found /usr/include, found components: coroutine system
  date_time program_options filesystem timer context chrono)

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The Gadgetron boost error will be because you update Gadgetron (which I told you to do). Let's keep it at the original version for now to get this through and see.

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curl linking problem for ISMRMD with system HDF5 on Ubuntu 22.04
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