diff --git a/Dockerfile b/Dockerfile index 68a9b18..1c44994 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,161 +1,190 @@ -FROM pennlinc/atlaspack:0.1.0 as atlaspack -FROM ubuntu:jammy-20240125 +# ASLPrep Docker Container Image distribution +# +# MIT License +# +# Copyright (c) The NiPreps Developers +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the "Software"), to deal +# in the Software without restriction, including without limitation the rights +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +# copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in all +# copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +# SOFTWARE. -# Pre-cache neurodebian key -COPY docker/files/neurodebian.gpg /usr/local/etc/neurodebian.gpg +# Ubuntu 22.04 LTS - Jammy +ARG BASE_IMAGE=ubuntu:jammy-20240125 -# Download atlases from AtlasPack -RUN mkdir /AtlasPack -COPY --from=atlaspack /AtlasPack/tpl-fsLR_*.dlabel.nii /AtlasPack/ -COPY --from=atlaspack /AtlasPack/tpl-MNI152NLin6Asym_*.nii.gz /AtlasPack/ -COPY --from=atlaspack /AtlasPack/atlas-4S*.tsv /AtlasPack/ -COPY --from=atlaspack /AtlasPack/*.json /AtlasPack/ +# +# Build wheel +# +FROM python:slim AS src +RUN pip install build +RUN apt-get update && \ + apt-get install -y --no-install-recommends git +COPY . /src +RUN python -m build /src + +# +# Download stages +# -# Prepare environment +# Utilities for downloading packages +FROM ${BASE_IMAGE} as downloader +# Bump the date to current to refresh curl/certificates/etc +RUN echo "2023.07.20" RUN apt-get update && \ apt-get install -y --no-install-recommends \ - apt-utils \ - autoconf \ - bc \ - build-essential \ - bzip2 \ - ca-certificates \ - curl \ - cython3 \ - dc \ - file \ - freeglut3-dev \ - g++ \ - gcc \ - git \ - gnupg-agent \ - imagemagick \ - libboost-all-dev \ - libeigen3-dev \ - libfftw3-dev libtiff5-dev \ - libfontconfig1 \ - libfreetype6 \ - libgl1-mesa-dev \ - libglu1-mesa-dev \ - libgomp1 \ - libice6 \ - libopenblas-base \ - libqt5opengl5-dev \ - libqt5svg5* \ - libtool \ - libxcursor1 \ - libxft2 \ - libxinerama1 \ - libxrandr2 \ - libxrender1 \ - libxt6 \ - make \ - mesa-utils \ - pkg-config \ - python \ - python-numpy \ - software-properties-common \ - unzip \ - wget \ - xvfb \ - zlib1g \ - zlib1g-dev \ - && \ - curl -sL https://deb.nodesource.com/setup_17.x | bash - && \ - apt-get install -y --no-install-recommends \ - nodejs && \ + binutils \ + bzip2 \ + ca-certificates \ + curl \ + unzip && \ apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* -ENV OS="Linux" \ - FIX_VERTEX_AREA="" +# FreeSurfer 7.3.2 +FROM downloader as freesurfer +COPY docker/files/freesurfer7.3.2-exclude.txt /usr/local/etc/freesurfer7.3.2-exclude.txt +RUN curl -sSL https://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/7.3.2/freesurfer-linux-ubuntu22_amd64-7.3.2.tar.gz \ + | tar zxv --no-same-owner -C /opt --exclude-from=/usr/local/etc/freesurfer7.3.2-exclude.txt -# Install miniconda -RUN curl -sSLO https://repo.continuum.io/miniconda/Miniconda3-py310_23.10.0-1-Linux-x86_64.sh && \ - bash Miniconda3-py310_23.10.0-1-Linux-x86_64.sh -b -p /usr/local/miniconda && \ - rm Miniconda3-py310_23.10.0-1-Linux-x86_64.sh +# AFNI +FROM downloader as afni +# Bump the date to current to update AFNI +RUN echo "2023.07.20" +RUN mkdir -p /opt/afni-latest \ + && curl -fsSL --retry 5 https://afni.nimh.nih.gov/pub/dist/tgz/linux_openmp_64.tgz \ + | tar -xz -C /opt/afni-latest --strip-components 1 \ + --exclude "linux_openmp_64/*.gz" \ + --exclude "linux_openmp_64/funstuff" \ + --exclude "linux_openmp_64/shiny" \ + --exclude "linux_openmp_64/afnipy" \ + --exclude "linux_openmp_64/lib/RetroTS" \ + --exclude "linux_openmp_64/lib_RetroTS" \ + --exclude "linux_openmp_64/meica.libs" -# Set CPATH for packages relying on compiled libs (e.g. indexed_gzip) -ENV PATH="/usr/local/miniconda/bin:$PATH" \ - CPATH="/usr/local/miniconda/include:$CPATH" \ - LANG="C.UTF-8" \ - LC_ALL="C.UTF-8" \ - PYTHONNOUSERSITE=1 - -# Install basic Python dependencies for ASLPrep conda environment. -# The ASLPrep Dockerfile will install more tailored dependencies. -RUN conda install -y \ - python=3.10 \ - conda-build \ - pip=23 \ - graphviz=2.40.1 \ - mkl=2021.2 \ - mkl-service=2.3 \ - libxml2=2.9.8 \ - libxslt=1.1.32 ; \ - sync && \ - pip install \ - matplotlib \ - requests \ - templateflow ; \ - sync && \ - chmod -R a+rX /usr/local/miniconda; sync && \ - chmod +x /usr/local/miniconda/bin/*; sync && \ - conda build purge-all; sync && \ - conda clean -tipsy; sync - -# Precache fonts, set "Agg" as default backend for matplotlib -RUN python -c "from matplotlib import font_manager" && \ - sed -i 's/\(backend *: \).*$/\1Agg/g' $( python -c "import matplotlib; print(matplotlib.matplotlib_fname())" ) - -# Precache commonly-used templates -RUN python -c "from templateflow import api as tfapi; \ - tfapi.get(['MNI152NLin2009cAsym', 'MNI152NLin6Asym'], atlas=None, resolution=[1, 2], desc=['brain', None], extension=['.nii', '.nii.gz']); \ - tfapi.get('OASIS30ANTs', extension=['.nii', '.nii.gz']);" && \ - find $HOME/.cache/templateflow -type d -exec chmod go=u {} + && \ - find $HOME/.cache/templateflow -type f -exec chmod go=u {} + +# Connectome Workbench 1.5.0 +FROM downloader as workbench +RUN mkdir /opt/workbench && \ + curl -sSLO https://www.humanconnectome.org/storage/app/media/workbench/workbench-linux64-v1.5.0.zip && \ + unzip workbench-linux64-v1.5.0.zip -d /opt && \ + rm workbench-linux64-v1.5.0.zip && \ + rm -rf /opt/workbench/libs_linux64_software_opengl /opt/workbench/plugins_linux64 && \ + strip --remove-section=.note.ABI-tag /opt/workbench/libs_linux64/libQt5Core.so.5 -# Install FSL from old ASLPrep version -# Based on https://github.com/ReproNim/neurodocker/blob/a87693e5676e7c4d272bc4eb8285f9232860d0ff/neurodocker/templates/fsl.yaml -RUN curl -fsSL https://fsl.fmrib.ox.ac.uk/fsldownloads/fslconda/releases/fslinstaller.py | python3 - -d /opt/fsl-6.0.7.1 -V 6.0.7.1 -ENV FSLDIR="/opt/fsl-6.0.7.1" \ - PATH="$PATH:/opt/fsl-6.0.7.1/bin" \ - FSLOUTPUTTYPE="NIFTI_GZ" \ - FSLMULTIFILEQUIT="TRUE" \ - FSLTCLSH="/opt/fsl-6.0.7.1/bin/fsltclsh" \ - FSLWISH="/opt/fsl-6.0.7.1/bin/fslwish" \ - FSLLOCKDIR="" \ - FSLMACHINELIST="" \ - FSLREMOTECALL="" \ - FSLGECUDAQ="cuda.q" +# Convert3d 1.4.0 +FROM downloader as c3d +RUN mkdir /opt/convert3d && \ + curl -fsSL --retry 5 https://sourceforge.net/projects/c3d/files/c3d/Experimental/c3d-1.4.0-Linux-gcc64.tar.gz/download \ + | tar -xz -C /opt/convert3d --strip-components 1 + +# Micromamba +FROM downloader as micromamba + +# Install a C compiler to build extensions when needed. +# traits<6.4 wheels are not available for Python 3.11+, but build easily. +RUN apt-get update && \ + apt-get install -y --no-install-recommends build-essential && \ + apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* + +WORKDIR / +# Bump the date to current to force update micromamba +RUN echo "2024.02.06" +RUN curl -Ls https://micro.mamba.pm/api/micromamba/linux-64/latest | tar -xvj bin/micromamba + +ENV MAMBA_ROOT_PREFIX="/opt/conda" +COPY env.yml /tmp/env.yml +COPY requirements.txt /tmp/requirements.txt +WORKDIR /tmp +RUN micromamba create -y -f /tmp/env.yml && \ + micromamba clean -y -a -# Install Neurodebian packages (AFNI, Connectome Workbench, git) -RUN curl -sSL "http://neuro.debian.net/lists/$( lsb_release -c | cut -f2 ).us-ca.full" >> /etc/apt/sources.list.d/neurodebian.sources.list && \ - apt-key add /usr/local/etc/neurodebian.gpg && \ - (apt-key adv --refresh-keys --keyserver hkp://ha.pool.sks-keyservers.net 0xA5D32F012649A5A9 || true) +# UV_USE_IO_URING for apparent race-condition (https://github.com/nodejs/node/issues/48444) +# Check if this is still necessary when updating the base image. +ENV PATH="/opt/conda/envs/aslprep/bin:$PATH" \ + UV_USE_IO_URING=0 +RUN npm install -g svgo@^3.2.0 bids-validator@^1.14.0 && \ + rm -r ~/.npm +# +# Main stage +# +FROM ${BASE_IMAGE} as aslprep + +# Configure apt +ENV DEBIAN_FRONTEND="noninteractive" \ + LANG="en_US.UTF-8" \ + LC_ALL="en_US.UTF-8" + +# Some baseline tools; bc is needed for FreeSurfer, so don't drop it RUN apt-get update && \ apt-get install -y --no-install-recommends \ - afni=18.0.05+git24-gb25b21054~dfsg.1-1~nd17.10+1+nd18.04+1 \ - connectome-workbench=1.5.0-1~nd18.04+1 \ - git-annex-standalone && \ + bc \ + ca-certificates \ + curl \ + git \ + gnupg \ + lsb-release \ + netbase \ + xvfb && \ apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* -# Configure AFNI -ENV AFNI_MODELPATH="/usr/lib/afni/models" \ - AFNI_IMSAVE_WARNINGS="NO" \ - AFNI_TTATLAS_DATASET="/usr/share/afni/atlases" \ - AFNI_PLUGINPATH="/usr/lib/afni/plugins" +# Configure PPAs for libpng12 and libxp6 +RUN GNUPGHOME=/tmp gpg --keyserver hkps://keyserver.ubuntu.com --no-default-keyring --keyring /usr/share/keyrings/linuxuprising.gpg --recv 0xEA8CACC073C3DB2A \ + && GNUPGHOME=/tmp gpg --keyserver hkps://keyserver.ubuntu.com --no-default-keyring --keyring /usr/share/keyrings/zeehio.gpg --recv 0xA1301338A3A48C4A \ + && echo "deb [signed-by=/usr/share/keyrings/linuxuprising.gpg] https://ppa.launchpadcontent.net/linuxuprising/libpng12/ubuntu jammy main" > /etc/apt/sources.list.d/linuxuprising.list \ + && echo "deb [signed-by=/usr/share/keyrings/zeehio.gpg] https://ppa.launchpadcontent.net/zeehio/libxp/ubuntu jammy main" > /etc/apt/sources.list.d/zeehio.list -ENV PATH="/usr/lib/afni/bin:$PATH" +# Dependencies for AFNI; requires a discontinued multiarch-support package from bionic (18.04) +RUN apt-get update -qq \ + && apt-get install -y -q --no-install-recommends \ + ed \ + gsl-bin \ + libglib2.0-0 \ + libglu1-mesa-dev \ + libglw1-mesa \ + libgomp1 \ + libjpeg62 \ + libpng12-0 \ + libxm4 \ + libxp6 \ + netpbm \ + tcsh \ + xfonts-base \ + xvfb \ + && curl -sSL --retry 5 -o /tmp/multiarch.deb http://archive.ubuntu.com/ubuntu/pool/main/g/glibc/multiarch-support_2.27-3ubuntu1.5_amd64.deb \ + && dpkg -i /tmp/multiarch.deb \ + && rm /tmp/multiarch.deb \ + && apt-get install -f \ + && apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* \ + && gsl2_path="$(find / -name 'libgsl.so.19' || printf '')" \ + && if [ -n "$gsl2_path" ]; then \ + ln -sfv "$gsl2_path" "$(dirname $gsl2_path)/libgsl.so.0"; \ + fi \ + && ldconfig -# FreeSurfer 7.3.2 -COPY docker/files/freesurfer7.3.2-exclude.txt /usr/local/etc/freesurfer7.3.2-exclude.txt -RUN curl -sSL https://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/7.3.2/freesurfer-linux-ubuntu22_amd64-7.3.2.tar.gz \ - | tar zxv --no-same-owner -C /opt --exclude-from=/usr/local/etc/freesurfer7.3.2-exclude.txt +# Install files from stages +COPY --from=freesurfer /opt/freesurfer /opt/freesurfer +COPY --from=afni /opt/afni-latest /opt/afni-latest +COPY --from=workbench /opt/workbench /opt/workbench +COPY --from=c3d /opt/convert3d/bin/c3d_affine_tool /usr/bin/c3d_affine_tool -ENV FSF_OUTPUT_FORMAT="nii.gz" \ +# Simulate SetUpFreeSurfer.sh +ENV OS="Linux" \ + FS_OVERRIDE=0 \ + FIX_VERTEX_AREA="" \ + FSF_OUTPUT_FORMAT="nii.gz" \ FREESURFER_HOME="/opt/freesurfer" - ENV SUBJECTS_DIR="$FREESURFER_HOME/subjects" \ FUNCTIONALS_DIR="$FREESURFER_HOME/sessions" \ MNI_DIR="$FREESURFER_HOME/mni" \ @@ -163,54 +192,86 @@ ENV SUBJECTS_DIR="$FREESURFER_HOME/subjects" \ MINC_BIN_DIR="$FREESURFER_HOME/mni/bin" \ MINC_LIB_DIR="$FREESURFER_HOME/mni/lib" \ MNI_DATAPATH="$FREESURFER_HOME/mni/data" - ENV PERL5LIB="$MINC_LIB_DIR/perl5/5.8.5" \ MNI_PERL5LIB="$MINC_LIB_DIR/perl5/5.8.5" \ PATH="$FREESURFER_HOME/bin:$FREESURFER_HOME/tktools:$MINC_BIN_DIR:$PATH" -# Install ANTs latest from source -ENV ANTSPATH=/usr/lib/ants -RUN mkdir -p $ANTSPATH && \ - curl -sSL "https://dl.dropbox.com/s/gwf51ykkk5bifyj/ants-Linux-centos6_x86_64-v2.3.4.tar.gz" \ - | tar -xzC $ANTSPATH --strip-components 1 -ENV PATH=$ANTSPATH:$PATH - -# Install Convert3D -RUN echo "Downloading C3D ..." \ - && mkdir /opt/c3d \ - && curl -sSL --retry 5 https://sourceforge.net/projects/c3d/files/c3d/1.0.0/c3d-1.0.0-Linux-x86_64.tar.gz/download \ - | tar -xzC /opt/c3d --strip-components=1 -ENV C3DPATH=/opt/c3d/bin \ - PATH=/opt/c3d/bin:$PATH +# AFNI config +ENV PATH="/opt/afni-latest:$PATH" \ + AFNI_IMSAVE_WARNINGS="NO" \ + AFNI_PLUGINPATH="/opt/afni-latest" -# MSM HOCR (Nov 19, 2019 release) -RUN curl -L -H "Accept: application/octet-stream" https://api.github.com/repos/ecr05/MSM_HOCR/releases/assets/16253707 -o /usr/local/bin/msm \ - && chmod +x /usr/local/bin/msm +# Workbench config +ENV PATH="/opt/workbench/bin_linux64:$PATH" \ + LD_LIBRARY_PATH="/opt/workbench/lib_linux64:$LD_LIBRARY_PATH" -# Install SVGO -RUN npm install -g svgo +# Create a shared $HOME directory +RUN useradd -m -s /bin/bash -G users aslprep +WORKDIR /home/aslprep +ENV HOME="/home/aslprep" \ + LD_LIBRARY_PATH="/usr/lib/x86_64-linux-gnu:$LD_LIBRARY_PATH" + +COPY --from=micromamba /bin/micromamba /bin/micromamba +COPY --from=micromamba /opt/conda/envs/aslprep /opt/conda/envs/aslprep -# Install bids-validator -RUN npm install -g bids-validator@1.8.4 +ENV MAMBA_ROOT_PREFIX="/opt/conda" +RUN micromamba shell init -s bash && \ + echo "micromamba activate aslprep" >> $HOME/.bashrc +ENV PATH="/opt/conda/envs/aslprep/bin:$PATH" \ + CPATH="/opt/conda/envs/aslprep/include:$CPATH" \ + LD_LIBRARY_PATH="/opt/conda/envs/aslprep/lib:$LD_LIBRARY_PATH" + +# Precaching atlases +COPY scripts/fetch_templates.py fetch_templates.py +RUN python fetch_templates.py && \ + rm fetch_templates.py && \ + find $HOME/.cache/templateflow -type d -exec chmod go=u {} + && \ + find $HOME/.cache/templateflow -type f -exec chmod go=u {} + + +# FSL environment +ENV LANG="C.UTF-8" \ + LC_ALL="C.UTF-8" \ + PYTHONNOUSERSITE=1 \ + FSLDIR="/opt/conda/envs/aslprep" \ + FSLOUTPUTTYPE="NIFTI_GZ" \ + FSLMULTIFILEQUIT="TRUE" \ + FSLLOCKDIR="" \ + FSLMACHINELIST="" \ + FSLREMOTECALL="" \ + FSLGECUDAQ="cuda.q" # Unless otherwise specified each process should only use one thread - nipype # will handle parallelization ENV MKL_NUM_THREADS=1 \ OMP_NUM_THREADS=1 -# Create a shared $HOME directory -RUN useradd -m -s /bin/bash -G users aslprep -WORKDIR /home/aslprep -ENV HOME="/home/aslprep" +# MSM HOCR (Nov 19, 2019 release) +RUN curl -L -H "Accept: application/octet-stream" https://api.github.com/repos/ecr05/MSM_HOCR/releases/assets/16253707 -o /usr/local/bin/msm \ + && chmod +x /usr/local/bin/msm -# Install pandoc (for HTML/LaTeX reports) -RUN curl -o pandoc-2.2.2.1-1-amd64.deb -sSL "https://github.com/jgm/pandoc/releases/download/2.2.2.1/pandoc-2.2.2.1-1-amd64.deb" && \ - dpkg -i pandoc-2.2.2.1-1-amd64.deb && \ - rm pandoc-2.2.2.1-1-amd64.deb +# Installing ASLPrep +COPY --from=src /src/dist/*.whl . +RUN pip install --no-cache-dir $( ls *.whl )[container,test] RUN find $HOME -type d -exec chmod go=u {} + && \ find $HOME -type f -exec chmod go=u {} + && \ rm -rf $HOME/.npm $HOME/.conda $HOME/.empty +# For detecting the container +ENV IS_DOCKER_8395080871=1 + RUN ldconfig -WORKDIR /tmp/ +WORKDIR /tmp +ENTRYPOINT ["/opt/conda/envs/aslprep/bin/aslprep"] + +ARG BUILD_DATE +ARG VCS_REF +ARG VERSION +LABEL org.label-schema.build-date=$BUILD_DATE \ + org.label-schema.name="ASLPrep" \ + org.label-schema.description="ASLPrep - robust ASL preprocessing tool" \ + org.label-schema.url="https://aslprep.readthedocs.io" \ + org.label-schema.vcs-ref=$VCS_REF \ + org.label-schema.vcs-url="https://github.com/PennLINC/aslprep" \ + org.label-schema.version=$VERSION \ + org.label-schema.schema-version="1.0" diff --git a/env.yml b/env.yml new file mode 100644 index 0000000..ab2657e --- /dev/null +++ b/env.yml @@ -0,0 +1,40 @@ +name: aslprep +channels: + - https://fsl.fmrib.ox.ac.uk/fsldownloads/fslconda/public/ + - conda-forge +# Update this ~yearly; last updated Jan 2024 +dependencies: + - python=3.10 + # Needed for svgo and bids-validator; consider moving to deno + - nodejs=20 + # Intel Math Kernel Library for numpy + - mkl=2023.2.0 + - mkl-service=2.4.0 + # git-annex for templateflow users with DataLad superdatasets + - git-annex=*=alldep* + # Base scientific python stack; required by FSL, so pinned here + - numpy=1.26 + - scipy=1.11 + - matplotlib=3.8 + - pandas=2.2 + - h5py=3.10 + # Dependencies compiled against numpy, best to stick with conda + - nitime=0.10 + - scikit-image=0.22 + - scikit-learn=1.4 + # Utilities + - graphviz=9.0 + - pandoc=3.1 + # Workflow dependencies: ANTs + - ants=2.5 + # Workflow dependencies: FSL (versions pinned in 6.0.7.7) + - fsl-bet2=2111.4 + - fsl-flirt=2111.2 + - fsl-fast4=2111.3 + - fsl-fugue=2201.4 + - fsl-mcflirt=2111.0 + - fsl-miscmaths=2203.2 + - fsl-topup=2203.2 + - pip +variables: + FSLOUTPUTTYPE: NIFTI_GZ diff --git a/scripts/fetch_templates.py b/scripts/fetch_templates.py new file mode 100644 index 0000000..c9b134c --- /dev/null +++ b/scripts/fetch_templates.py @@ -0,0 +1,136 @@ +#!/usr/bin/env python +""" +Standalone script to facilitate caching of required TemplateFlow templates. + +To download and view how to use this script, run the following commands inside a terminal: +1. wget https://raw.githubusercontent.com/nipreps/fmriprep/master/scripts/fetch_templates.py +2. python fetch_templates.py -h +""" + +import argparse +import os + + +def fetch_MNI2009(): + """ + Expected templates: + + tpl-MNI152NLin2009cAsym/tpl-MNI152NLin2009cAsym_res-01_T1w.nii.gz + tpl-MNI152NLin2009cAsym/tpl-MNI152NLin2009cAsym_res-02_T1w.nii.gz + tpl-MNI152NLin2009cAsym/tpl-MNI152NLin2009cAsym_res-01_desc-brain_mask.nii.gz + tpl-MNI152NLin2009cAsym/tpl-MNI152NLin2009cAsym_res-02_desc-brain_mask.nii.gz + tpl-MNI152NLin2009cAsym/tpl-MNI152NLin2009cAsym_res-01_desc-carpet_dseg.nii.gz + tpl-MNI152NLin2009cAsym/tpl-MNI152NLin2009cAsym_res-02_desc-fMRIPrep_boldref.nii.gz + tpl-MNI152NLin2009cAsym/tpl-MNI152NLin2009cAsym_res-01_label-brain_probseg.nii.gz + """ + template = 'MNI152NLin2009cAsym' + + tf.get(template, resolution=(1, 2), desc=None, suffix='T1w') + tf.get(template, resolution=(1, 2), desc='brain', suffix='mask') + tf.get(template, resolution=1, atlas=None, desc='carpet', suffix='dseg') + tf.get(template, resolution=2, desc='fMRIPrep', suffix='boldref') + tf.get(template, resolution=1, label='brain', suffix='probseg') + + +def fetch_MNI6(): + """ + Expected templates: + + tpl-MNI152NLin6Asym/tpl-MNI152NLin6Asym_res-01_T1w.nii.gz + tpl-MNI152NLin6Asym/tpl-MNI152NLin6Asym_res-02_T1w.nii.gz + tpl-MNI152NLin6Asym/tpl-MNI152NLin6Asym_res-01_desc-brain_mask.nii.gz + tpl-MNI152NLin6Asym/tpl-MNI152NLin6Asym_res-02_desc-brain_mask.nii.gz + tpl-MNI152NLin6Asym/tpl-MNI152NLin6Asym_res-02_atlas-HCP_dseg.nii.gz + """ + template = 'MNI152NLin6Asym' + + tf.get(template, resolution=(1, 2), desc=None, suffix='T1w') + tf.get(template, resolution=(1, 2), desc='brain', suffix='mask') + # CIFTI + tf.get(template, resolution=2, atlas='HCP', suffix='dseg') + + +def fetch_OASIS(): + """ + Expected templates: + + tpl-OASIS30ANTs/tpl-OASIS30ANTs_res-01_T1w.nii.gz + tpl-OASIS30ANTs/tpl-OASIS30ANTs_res-01_label-WM_probseg.nii.gz + tpl-OASIS30ANTs/tpl-OASIS30ANTs_res-01_label-BS_probseg.nii.gz + tpl-OASIS30ANTs/tpl-OASIS30ANTs_res-01_label-brain_probseg.nii.gz + tpl-OASIS30ANTs/tpl-OASIS30ANTs_res-01_desc-brain_mask.nii.gz + tpl-OASIS30ANTs/tpl-OASIS30ANTs_res-01_desc-BrainCerebellumExtraction_mask.nii.gz + """ + template = 'OASIS30ANTs' + + tf.get(template, resolution=1, desc=None, label=None, suffix='T1w') + tf.get(template, resolution=1, label='WM', suffix='probseg') + tf.get(template, resolution=1, label='BS', suffix='probseg') + tf.get(template, resolution=1, label='brain', suffix='probseg') + tf.get(template, resolution=1, label='brain', suffix='mask') + tf.get(template, resolution=1, desc='BrainCerebellumExtraction', suffix='mask') + + +def fetch_fsaverage(): + """ + Expected templates: + + tpl-fsaverage/tpl-fsaverage_hemi-L_den-164k_desc-std_sphere.surf.gii + tpl-fsaverage/tpl-fsaverage_hemi-R_den-164k_desc-std_sphere.surf.gii + tpl-fsaverage/tpl-fsaverage_hemi-L_den-164k_desc-vaavg_midthickness.shape.gii + tpl-fsaverage/tpl-fsaverage_hemi-R_den-164k_desc-vaavg_midthickness.shape.gii + tpl-fsaverage/tpl-fsaverage_hemi-L_den-164k_midthickness.surf.gii + tpl-fsaverage/tpl-fsaverage_hemi-R_den-164k_midthickness.surf.gii + tpl-fsaverage/tpl-fsaverage_hemi-L_den-164k_sulc.shape.gii + tpl-fsaverage/tpl-sfaverage_hemi-R_den-164k_sulc.shape.gii + """ + template = 'fsaverage' + + tf.get(template, density='164k', desc='std', suffix='sphere') + tf.get(template, density='164k', suffix='midthickness') + tf.get(template, density='164k', suffix='sulc') + + +def fetch_fsLR(): + """ + Expected templates: + + tpl-fsLR/tpl-fsLR_hemi-L_den-32k_desc-nomedialwall_dparc.label.gii + tpl-fsLR/tpl-fsLR_hemi-L_den-32k_desc-vaavg_midthickness.shape.gii + tpl-fsLR/tpl-fsLR_hemi-L_den-32k_sphere.surf.gii + tpl-fsLR/tpl-fsLR_hemi-R_den-32k_desc-nomedialwall_dparc.label.gii + tpl-fsLR/tpl-fsLR_hemi-R_den-32k_desc-vaavg_midthickness.shape.gii + tpl-fsLR/tpl-fsLR_hemi-R_den-32k_sphere.surf.gii + tpl-fsLR/tpl-fsLR_space-fsaverage_hemi-L_den-32k_sphere.surf.gii + tpl-fsLR/tpl-fsLR_space-fsaverage_hemi-R_den-32k_sphere.surf.gii + """ + tf.get('fsLR', density='32k') + + +def fetch_all(): + fetch_MNI2009() + fetch_MNI6() + fetch_OASIS() + fetch_fsaverage() + fetch_fsLR() + + +if __name__ == '__main__': + parser = argparse.ArgumentParser( + description='Helper script for pre-caching required templates to run fMRIPrep', + ) + parser.add_argument( + '--tf-dir', + type=os.path.abspath, + help='Directory to save templates in. If not provided, templates will be saved to' + ' `${HOME}/.cache/templateflow`.', + ) + opts = parser.parse_args() + + # set envvar (if necessary) prior to templateflow import + if opts.tf_dir is not None: + os.environ['TEMPLATEFLOW_HOME'] = opts.tf_dir + + import templateflow.api as tf + + fetch_all()