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
US_NotreDame
154
0
CERN
16
0
US_PuertoRico
2
0
Jobscript
#!/bin/bash
:<<'EOF'
To use this jobscript to process n files through the g4 stage
and put the output in pnfs scratch,
use this command to create the workflow:
justin simple-workflow \
--mql "$MQL_QUERY" \
--jobscript my-g4.jobscript --max-distance 30 --rss-mb 4000 -- env NUM_EVENTS=10 --env INPUT_TAR_DIR_LOCAL="$INPUT_TAR_DIR_LOCAL"\
--scope usertests --output-pattern "*_reco_data_*.root:<my-dataset-name>" --lifetime-days 1
The following optional environment variables can be set when creating the
workflow/stage: FCL_FILE, NUM_EVENTS, DUNE_VERSION, DUNE_QUALIFIER
EOF
echo "AFM g4 jobscript."
# fcl file and DUNE software version/qualifier to be used
#FCL_FILE=${FCL_FILE:-$INPUT_TAR_DIR_LOCAL/standard_g4_dune10kt_1x2x6_filtered.fcl}
FCL_FILE=${FCL_FILE:-standard_g4_dune10kt.fcl}
DUNE_VERSION=${DUNE_VERSION:-v10_04_06d00}
DUNE_QUALIFIER=${DUNE_QUALIFIER:-e26:prof}
# number of events to process from the input file
if [ "$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 [ "$did_pfn_rse" = "" ] ; then
echo "No input files provided."
exit 0
fi
# Keep a record of all input DIDs, for pdjson2meta file -> DID mapping
echo "$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 = $pfn"
# Setup DUNE environment
source /cvmfs/dune.opensciencegrid.org/products/dune/setup_dune.sh
# the xroot lib for streaming non-root files is in testproducts,
# so add it to the start of the path
export PRODUCTS=/cvmfs/dune.opensciencegrid.org/products/dune/testproducts:${PRODUCTS}
setup dunesw "$DUNE_VERSION" -q "$DUNE_QUALIFIER"
export TF_NUM_THREADS=${JUSTIN_PROCESSORS}
export OPENBLAS_NUM_THREADS=${JUSTIN_PROCESSORS}
export JULIA_NUM_THREADS=${JUSTIN_PROCESSORS}
export MKL_NUM_THREADS=${JUSTIN_PROCESSORS}
export NUMEXPR_NUM_THREADS=${JUSTIN_PROCESSORS}
export OMP_NUM_THREADS=${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_${now}.root
campaign="justIN.w${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
)
echo '=== Start last 100 lines of lar log file ==='
tail -100 ${fname}_reco_${now}.log
echo '=== End last 100 lines of lar log file ==='
# Subshell exits with exit code of last command
larExit=$?
echo "lar exit code $larExit"
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 $outFile.json
echo
echo "==================="
jobscriptExit=0
fi
fi
ls -lRS
# Create compressed tar file with all log files
tar zcf `echo "$JUSTIN_JOBSUB_ID.logs.tgz" | sed 's/@/_/g'` *.log
exit $jobscriptExit
justIN time: 2025-04-03 12:37:50 UTC justIN version: 01.03.00
