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generate.sh
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generate.sh
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#!/bin/bash
set -e
NIPYPE_BRANCH=${1:-"master"}
case $NIPYPE_BRANCH in
master)
NIPYPE_URL="https://github.com/nipy/nipype/tarball/master"
;;
*)
NIPYPE_URL="git+https://github.com/nipy/nipype.git@${NIPYPE_BRANCH}"
;;
esac
# Generate Dockerfile
generate_docker() {
docker run --rm kaczmarj/neurodocker:master generate docker \
--base neurodebian:stretch-non-free \
--pkg-manager apt \
--install convert3d ants fsl gcc g++ graphviz tree \
git-annex-standalone vim emacs-nox nano less ncdu \
tig git-annex-remote-rclone octave netbase \
--add-to-entrypoint "source /etc/fsl/fsl.sh" \
--spm12 version=r7219 \
--user=neuro \
--workdir /home/neuro \
--miniconda \
conda_install="python=3.8 pytest jupyter jupyterlab jupyter_contrib_nbextensions
traits pandas matplotlib scikit-learn scikit-image seaborn nbformat nb_conda" \
pip_install="$NIPYPE_URL
pybids==0.13.1
nilearn datalad[full] nipy duecredit nbval niflow-nipype1-workflows" \
create_env="neuro" \
activate=True \
--env LD_LIBRARY_PATH="/opt/miniconda-latest/envs/neuro:$LD_LIBRARY_PATH" \
--run-bash "source activate neuro && jupyter nbextension enable exercise2/main && jupyter nbextension enable spellchecker/main" \
--user=root \
--run 'mkdir /data && chmod 777 /data && chmod a+s /data' \
--run 'mkdir /output && chmod 777 /output && chmod a+s /output' \
--user=neuro \
--run 'printf "[user]\n\tname = miykael\n\temail = [email protected]\n" > ~/.gitconfig' \
--run-bash 'source activate neuro && cd /data && datalad install -r ///workshops/nih-2017/ds000114 && cd ds000114 && datalad update -r && datalad get -r sub-01/ses-test/anat sub-01/ses-test/func/*fingerfootlips*' \
--run 'curl -L https://files.osf.io/v1/resources/fvuh8/providers/osfstorage/580705089ad5a101f17944a9 -o /data/ds000114/derivatives/fmriprep/mni_icbm152_nlin_asym_09c.tar.gz && tar xf /data/ds000114/derivatives/fmriprep/mni_icbm152_nlin_asym_09c.tar.gz -C /data/ds000114/derivatives/fmriprep/. && rm /data/ds000114/derivatives/fmriprep/mni_icbm152_nlin_asym_09c.tar.gz && find /data/ds000114/derivatives/fmriprep/mni_icbm152_nlin_asym_09c -type f -not -name ?mm_T1.nii.gz -not -name ?mm_brainmask.nii.gz -not -name ?mm_tpm*.nii.gz -delete' \
--copy . "/home/neuro/nipype_tutorial" \
--user=root \
--run 'chown -R neuro /home/neuro/nipype_tutorial' \
--run 'rm -rf /opt/conda/pkgs/*' \
--user=neuro \
--run 'mkdir -p ~/.jupyter && echo c.NotebookApp.ip = \"0.0.0.0\" > ~/.jupyter/jupyter_notebook_config.py' \
--workdir /home/neuro/nipype_tutorial \
--cmd jupyter-notebook
}
# Generate Singularity file (does not include last --cmd option)
generate_singularity() {
docker run --rm kaczmarj/neurodocker:master generate singularity \
--base neurodebian:stretch-non-free \
--pkg-manager apt \
--install convert3d ants fsl gcc g++ graphviz tree \
git-annex-standalone vim emacs-nox nano less ncdu \
tig git-annex-remote-rclone octave netbase \
--add-to-entrypoint "source /etc/fsl/fsl.sh" \
--spm12 version=r7219 \
--user=neuro \
--workdir /home/neuro \
--miniconda \
conda_install="python=3.8 pytest jupyter jupyterlab jupyter_contrib_nbextensions
traits pandas matplotlib scikit-learn scikit-image seaborn nbformat nb_conda" \
pip_install="$NIPYPE_URL
pybids==0.13.1
nilearn datalad[full] nipy duecredit nbval niflow-nipype1-workflows" \
create_env="neuro" \
activate=True \
--env LD_LIBRARY_PATH="/opt/miniconda-latest/envs/neuro:$LD_LIBRARY_PATH" \
--run-bash "source activate neuro && jupyter nbextension enable exercise2/main && jupyter nbextension enable spellchecker/main" \
--user=root \
--run 'mkdir /data && chmod 777 /data && chmod a+s /data' \
--run 'mkdir /output && chmod 777 /output && chmod a+s /output' \
--user=neuro \
--run 'printf "[user]\n\tname = miykael\n\temail = [email protected]\n" > ~/.gitconfig' \
--run-bash 'source activate neuro && cd /data && datalad install -r ///workshops/nih-2017/ds000114 && cd ds000114 && datalad update -r && datalad get -r sub-01/ses-test/anat sub-01/ses-test/func/*fingerfootlips*' \
--run 'curl -L https://files.osf.io/v1/resources/fvuh8/providers/osfstorage/580705089ad5a101f17944a9 -o /data/ds000114/derivatives/fmriprep/mni_icbm152_nlin_asym_09c.tar.gz && tar xf /data/ds000114/derivatives/fmriprep/mni_icbm152_nlin_asym_09c.tar.gz -C /data/ds000114/derivatives/fmriprep/. && rm /data/ds000114/derivatives/fmriprep/mni_icbm152_nlin_asym_09c.tar.gz && find /data/ds000114/derivatives/fmriprep/mni_icbm152_nlin_asym_09c -type f -not -name ?mm_T1.nii.gz -not -name ?mm_brainmask.nii.gz -not -name ?mm_tpm*.nii.gz -delete' \
--copy . "/home/neuro/nipype_tutorial" \
--user=root \
--run 'chown -R neuro /home/neuro/nipype_tutorial' \
--run 'rm -rf /opt/conda/pkgs/*' \
--user=neuro \
--run 'mkdir -p ~/.jupyter && echo c.NotebookApp.ip = \"0.0.0.0\" > ~/.jupyter/jupyter_notebook_config.py' \
--workdir /home/neuro/nipype_tutorial
}
generate_docker > Dockerfile
generate_singularity > Singularity