Stats of processed input files as CSV or JSON, and of uploaded output files as CSV or JSON (up to 10000 files included)
File reset events, by site
Site
Allocated
Outputting
CERN
5
0
US_PuertoRico
4
0
Jobscript
#!/bin/bash
:<<'EOF'
To use this jobscript to process 10 files from the dc4-vd-coldbox-bottom
data and put the output in the usertests namespace (MetaCat) and
scope (Rucio), and in the usertests:output-test-01 dataset in MetaCat and
Rucio, use this command to create the workflow:
justin simple-workflow \
--mql \
"files from dune:all where core.run_type='dc4-vd-coldbox-bottom' and dune.campaign='dc4' limit 10" \
--jobscript dc4-vd-coldbox-bottom.jobscript --max-distance 30 --rss-mb 4000 \
--scope usertests --output-pattern '*_reco_data_*.root:output-test-01'
The following optional environment variables can be set when creating the
workflow/stage: FCL_FILE, NUM_EVENTS, DUNE_VERSION, DUNE_QUALIFIER
EOF
# fcl file and DUNE software version/qualifier to be used
FCL_FILE=${FCL_FILE:-$INPUT_TAR_DIR_LOCAL/runPandora.fcl}
DUNE_VERSION=${DUNE_VERSION:-v10_02_02d00}
DUNE_QUALIFIER=${DUNE_QUALIFIER:-e26:prof}
FW_SEARCH_PATH=$FW_SEARCH_PATH:$INPUT_TAR_DIR_LOCAL
echo $FW_SEARCH_PATH
# number of events to process from the input file
if [ "$NUM_EVENTS" != "" ] ; then
events_option="-n $NUM_EVENTS"
fi
# First get an unprocessed file from this stage
did_pfn_rse=`$JUSTIN_PATH/justin-get-file`
if [ "$did_pfn_rse" = "" ] ; then
echo "Nothing to process - exit jobscript"
exit 0
fi
# Keep a record of all input DIDs, for pdjson2meta file -> DID mapping
echo "$did_pfn_rse" | cut -f1 -d' ' >>all-input-dids.txt
# pfn is also needed when creating justin-processed-pfns.txt
pfn=`echo $did_pfn_rse | cut -f2 -d' '`
echo "Input PFN = $pfn"
# Setup DUNE environment
source /cvmfs/dune.opensciencegrid.org/products/dune/setup_dune.sh
# the xroot lib for streaming non-root files is in testproducts,
# so add it to the start of the path
#cp -r $INPUT_CODE/* .
#ls -lhrt
#ls $INPUT_CODE
#echo $PRODUCTS
#PRODUCTS=$INPUT_CODE:${PRODUCTS}
cp -r $INPUT_CODE/larpandoracontent .
PRODUCTS=`pwd`:$PRODUCTS
setup dunesw "$DUNE_VERSION" -q "$DUNE_QUALIFIER"
echo $PRODUCTS
ups active
echo "LArPandoraContent: ${LARPANDORACONTENT_DIR}"
export OMP_NUM_THREADS=${JUSTIN_PROCESSORS}
# Construct outFile from input $pfn
now=$(date -u +"%Y-%m-%dT_%H%M%SZ")
Ffname=`echo $pfn | awk -F/ '{print $NF}'`
fname=`echo $Ffname | awk -F. '{print $1}'`
#outFile=${fname}_reco_data_${now}.root
campaign="justIN.r${JUSTIN_WORKFLOW_ID}s${JUSTIN_STAGE_ID}"
(
# Do the scary preload stuff in a subshell!
export LD_PRELOAD=${XROOTD_LIB}/libXrdPosixPreload.so
echo "$LD_PRELOAD"
#lar -c $FCL_FILE $events_option -o $outFile "$pfn" > ${fname}_reco_${now}.log 2>&1
lar -c $FCL_FILE $events_option "$pfn"
#> ${fname}_training_${now}.log 2>&1
)
# Subshell exits with exit code of last command
larExit=$?
echo "lar exit code $larExit"
echo "$pfn" > justin-processed-pfns.txt
mv eventClassificationTraining.root trainingFile_${fname}.root
# LEIGH: No ART files so the below isn't needed?
#jobscriptExit=1
#if [ $larExit -eq 0 ] ; then
# # write metadata file if lar succeeded
# extractor_prod.py --infile "$outFile" --no_crc --appname reco \
# --appversion ${DUNE_VERSION} --appfamily art \
# --campaign ${campaign} > $outFile.ext.json
# extractorExit=$?
# echo "extractor_prod.py exit code $extractorExit"
#
# # Run pdjson2meta. THIS SHOULD MOVE TO SOMEWHERE LIKE duneutil ?
# /cvmfs/dune.opensciencegrid.org/products/dune/justin/pro/NULL/jobutils/pdjson2metadata \
# $outFile.ext.json all-input-dids.txt > $outFile.json
# p2mExit=$?
# echo "pdjson2metadata exit code $p2mExit"
#
# if [ $extractorExit -eq 0 -a $p2mExit -eq 0 ] ; then
# echo "Metadata extraction succeeds"
# echo "$pfn" > justin-processed-pfns.txt
# echo "===Metadata JSON==="
# cat $outFile.json
# echo
# echo "==================="
# jobscriptExit=0
# fi
#fi
ls -l
# Create compressed tar file with all log files
tar zcf `echo "$JUSTIN_JOBSUB_ID.logs.tgz" | sed 's/@/_/g'` *.log
#exit $jobscriptExit
exit $larExit
justIN time: 2025-04-03 08:07:40 UTC justIN version: 01.03.00
