source: examples/scaling_tests/daisychain/likes_python/run_one @ bc7133b

#!/bin/sh 

noise=$1

if [ -z "$noise" ]; then
    exit
fi 

echo "---running daisychain likes_python $noise scaling"

rm -rf likes_$noise
mkdir likes_$noise
sed "s/#VAL#/$noise/" base/SETUP.py > likes_$noise/setup.py
sed "s/#VAL#/$noise/" base/QUERY.py > likes_$noise/query.py
sed "s/#VAL#/$noise/" base/ATTR.py > likes_$noise/attr.py
sed "s/#VAL#/$noise/" base/PROVE.sh > likes_$noise/prove.sh

cd likes_$noise
chmod +x setup.py attr.py query.py
./setup.py 1> /dev/null 2>&1
env keystore=`pwd` ./attr.py 1> attr.log 2>& 1

env keystore=`pwd` ABAC_CN=1 ./query.py 1>likes.tmp 2> likes.time

if [ $noise -eq 0 ] ; then
    result=`egrep -c "success" likes.tmp 2>/dev/null`
    if [ $result -eq 202 ]; then
       echo "   PASSED"
## zap out all those fake BADs
       sed -ibak 's/BAD_/fakebad_/g' likes.time
       exit 0
    else  
       echo "   ERROR"
       exit 1
    fi
fi

s=`grep -c "success" likes.tmp 2>/dev/null`
f=`grep -c "failure" likes.tmp 2>/dev/null `
if [ $s -ne 101 ] ; then
    echo "   ERROR"
    exit 1
fi

if [ $f  -ne 101 ] ; then
    echo "   ERROR"
    exit 1
fi

echo "   PASSED"