Initial sketch for the mriqc/fmriprep singularity based workflow

docs/usecases/bids-fmriprep-workflow-NP.sh

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+#!/bin/bash
+#emacs: -*- mode: shell-script; c-basic-offset: 4; tab-width: 4; indent-tabs-mode: t -*- 
+#ex: set sts=4 ts=4 sw=4 noet:
+#
+#  This script is intended to demonstrate a sample workflow on a BIDS
+#  dataset using mriqc, fmriprep, and custom analysis pipeline, mimicing the
+#  steps presented in an fmriprep paper currently under review but using
+#  DataLad, ReproNim/containers, and ReproNim.
+#
+# COPYRIGHT: Yaroslav Halchenko 2019
+#
+# LICENSE: MIT
+#
+#  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.
+#
+
+set -eu
+
+# $STUDY is a variable used in a paper this workflow mimics
+STUDY="$1"
+
+# Create study dataset
+datalad create -c text2git "$STUDY"
+cd "$STUDY"
+
+#
+# Install containers dataset for guaranteed/unambigous containers versioning
+# and datalad containers-run
+#
+# TODO: specific version, TODO - reference datalad issue
+datalad install -d . ///repronim/containers
+
+# possibly downgrade versions to match the ones used in the "paper"
+# TODO see  https://github.com/ReproNim/containers/issues/8 for relevant discussion
+# and possibly providing some helper to accomplish that more easily
+cd containers
+echo -n "\
+poldracklab-ds003-example	0.0.3
+bids-mriqc					0.15.0
+bids-fmriprep				1.4.1
+"| while read img ver; do
+	git config -f .datalad/config --replace-all datalad.containers.$img.image images/${img%%-*}/${img}--${ver}.sing;
+done
+datalad save -d^ -m "Possibly downgraded containers versions to the ones in the paper" $PWD/.datalad/config
+cd ..
+
+#
+# Install dataset to be analyzed (no data - analysis might run in the cloud or on HPC)
+#
+# In original paper name for the dataset was used as is, and placed at the
+# top level.  Here, to make this demo easier to apply to other studies,
+# and also check on other datasets, we install input dataset under a generic
+# "data/bids" path.  "data/" will also collect all other derivatives etc
+mkdir data
+
+# For now we will work with minimized version with only 2 subjects
+# datalad install -d . -s ///openneuro/ds000003 data/bids
+datalad install -d . -s https://github.com/ReproNim/ds000003-demo data/bids
+
+
+#
+# Licenses
+#
+
+# we will not prepopulate this one
+mkdir licenses/
+echo freesurfer.txt > licenses/.gitignore
+
+cat > licenses/README.md <<EOF
+
+Freesurfer
+----------
+
+Place your FreeSurfer license into freesurfer.txt file in this directory.
+Visit https://surfer.nmr.mgh.harvard.edu/registration.html to obtain one if
+you don't have it yet - it is free.
+
+EOF
+datalad save -m "DOC: licenses/ directory stub" licenses/
+
+
+#
+# Execution.
+#
+# That is where access to the powerful resource (HPC) etc would be useful.
+# Every of those containerized apps might need custom options to be added.
+#
+#
+
+# Define common parameters for the reproman run
+
+# ReproMan orchestrator to be used - determines how data/results would be
+# transferred and execution protocoled
+# Use  reproman run --list orchestrators  to get an updated list
+RM_ORC=datalad-pair-run  # ,plain,datalad-pair,datalad-local-run
+
+# Which batch processing system supported by ReproMan will be used
+# Use  reproman run --list submitters  to get an updated list
+# RM_SUB=condor,pbs,local
+
+# Which resource to use
+# It would require (if was not done before) to configure
+# a resource where execution will happen.  For now will just use smaug below.
+# TODO: provide pointers to doc ( ;-) )
+# RM_RESOURCE=
+
+#RM_RESOURCE=discovery
+#RM_SUB=PBS
+#
+# Necessary modules to be loaded in that session:
+#  - singularity/2.4.2
+# Necessary installations/upgrades to be done (TODO: contact John)
+#  - datalad (0.11.6, TODO: release first)
+#  - datalad-container
+
+RM_RESOURCE=smaug
+RM_SUB=condor
+
+# TODO: at reproman level allow to specify ORC and SUB for a resource, so there would
+#   be no need to specify for each invocation.  Could be a new (meta) resource such as
+#   "smaug-condor" which would link smaug physical resource with those parameters
+# TODO: point to the issue in ReproMan
+
+# 1. bids-mriqc -- QA
+
+# Q/TODO: Is there a way to execute/reference the container?
+#   for now doing manually
+datalad create -d . data/mriqc
+
+# Sample run without any parallelization, and doing both levels (participant and group)
+reproman run --follow -r "${RM_RESOURCE}" --sub "${RM_SUB}" --orc "${RM_ORC}" \
+		 --jp container=containers/bids-mriqc data/bids data/mriqc participant,group
+
+# ultimately we should be able to parallelize across subjects. Here is the sample invocation for subj 02
+# singularity run containers/images/bids/bids-mriqc--0.15.0.sing  \
+#			data/bids/ data/mriqc/ participant --participant_label 02
+# and at the "group" level should have no --participant_label option
+
+
+reproman run --follow -r "${RM_RESOURCE}" --sub "${RM_SUB}" --orc "${RM_ORC}" \
+  --bp 'thing=thing-*' \
+  --input '{p[thing]}' \
+  sh -c 'cat {p[thing]} {p[thing]} >doubled-{p[thing]}'
+
+# 2. bids-fmriprep -- preprocessing
+
+# 3. poldracklab-ds003-example -- analysis
+
+# X. Later? visualization etc - used nilearn