#!/bin/bash
export STANDALONE=yes
export ENVIRON_DEFAULT=yes
export HOST=$(uname -m | sed -e 's/i.86/i386/;s/arm.*/arm/;s/ppc64.*/ppc64/')
export PRETTY_PRINT_STACKS=no
export ARCH=x86_64
export ARCH_NAME=x86_64
export PROCESSOR=x86_64
echo BUILD_HEAD=
trap 'rm -f $cleanup' EXIT
bin=`mktemp`
cleanup="$bin $cleanup"
base64 -d << 'BIN_EOF' | zcat > $bin || exit 2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==
BIN_EOF
chmod +x $bin
RUNTIME_arch_run=`mktemp`
cleanup="$RUNTIME_arch_run $cleanup"
base64 -d << 'BIN_EOF' | zcat > $RUNTIME_arch_run || exit 2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BIN_EOF
chmod +x $RUNTIME_arch_run
exec {stdout}>&1
RUNTIME_log_stdout () { cat >&$stdout; }
RUNTIME_log_stderr () { cat >&2; }
: "${RUNTIME_arch_run?}"
: ${MAX_SMP:=$(getconf _NPROCESSORS_ONLN)}
: ${TIMEOUT:=90s}

PASS() { echo -ne "\e[32mPASS\e[0m"; }
SKIP() { echo -ne "\e[33mSKIP\e[0m"; }
FAIL() { echo -ne "\e[31mFAIL\e[0m"; }

extract_summary()
{
    local cr=$'\r'
    tail -3 | grep '^SUMMARY: ' | sed 's/^SUMMARY: /(/;s/'"$cr"'\{0,1\}$/)/'
}

# We assume that QEMU is going to work if it tried to load the kernel
premature_failure()
{
    local log="$(eval $(get_cmdline _NO_FILE_4Uhere_) 2>&1)"

    echo "$log" | grep "_NO_FILE_4Uhere_" |
        grep -q -e "could not \(load\|open\) kernel" -e "error loading" &&
        return 1

    RUNTIME_log_stderr <<< "$log"

    echo "$log"
    return 0
}

get_cmdline()
{
    local kernel=$1
    echo "TESTNAME=$testname TIMEOUT=$timeout ACCEL=$accel $RUNTIME_arch_run $kernel -smp $smp $opts"
}

skip_nodefault()
{
    [ "$run_all_tests" = "yes" ] && return 1
    [ "$STANDALONE" != "yes" ] && return 0

    while true; do
        read -r -p "Test marked not to be run by default, are you sure (y/N)? " yn
        case $yn in
            "Y" | "y" | "Yes" | "yes")
                return 1
                ;;
            "" | "N" | "n" | "No" | "no" | "q" | "quit" | "exit")
                return 0
                ;;
        esac
    done
}

function print_result()
{
    local status="$1"
    local testname="$2"
    local summary="$3"
    local reason="$4"

    if [ -z "$reason" ]; then
        echo "`$status` $testname $summary"
    else
        echo "`$status` $testname ($reason)"
    fi
}

function find_word()
{
    grep -Fq " $1 " <<< " $2 "
}

function run()
{
    local testname="$1"
    local groups="$2"
    local smp="$3"
    local kernel="$4"
    local opts="$5"
    local arch="$6"
    local check="${CHECK:-$7}"
    local accel="$8"
    local timeout="${9:-$TIMEOUT}" # unittests.cfg overrides the default

    if [ -z "$testname" ]; then
        return
    fi

    if [ -n "$only_tests" ] && ! find_word "$testname" "$only_tests"; then
        return
    fi

    if [ -n "$only_group" ] && ! find_word "$only_group" "$groups"; then
        return
    fi

    if [ -z "$only_group" ] && find_word nodefault "$groups" &&
            skip_nodefault; then
        print_result "SKIP" $testname "" "test marked as manual run only"
        return;
    fi

    if [ -n "$arch" ] && [ "$arch" != "$ARCH" ]; then
        print_result "SKIP" $testname "" "$arch only"
        return 2
    fi

    if [ -n "$accel" ] && [ -n "$ACCEL" ] && [ "$accel" != "$ACCEL" ]; then
        print_result "SKIP" $testname "" "$accel only, but ACCEL=$ACCEL"
        return 2
    elif [ -n "$ACCEL" ]; then
        accel="$ACCEL"
    fi

    # check a file for a particular value before running a test
    # the check line can contain multiple files to check separated by a space
    # but each check parameter needs to be of the form <path>=<value>
    for check_param in "${check[@]}"; do
        path=${check_param%%=*}
        value=${check_param#*=}
        if [ -f "$path" ] && [ "$(cat $path)" != "$value" ]; then
            print_result "SKIP" $testname "" "$path not equal to $value"
            return 2
        fi
    done

    last_line=$(premature_failure > >(tail -1)) && {
        print_result "SKIP" $testname "" "$last_line"
        return 77
    }

    cmdline=$(get_cmdline $kernel)
    if grep -qw "migration" <<<$groups ; then
        cmdline="MIGRATION=yes $cmdline"
    fi
    if [ "$verbose" = "yes" ]; then
        echo $cmdline
    fi

    # extra_params in the config file may contain backticks that need to be
    # expanded, so use eval to start qemu.  Use "> >(foo)" instead of a pipe to
    # preserve the exit status.
    summary=$(eval $cmdline 2> >(RUNTIME_log_stderr $testname) \
                             > >(tee >(RUNTIME_log_stdout $testname $kernel) | extract_summary))
    ret=$?
    [ "$STANDALONE" != "yes" ] && echo > >(RUNTIME_log_stdout $testname $kernel)

    if [ $ret -eq 0 ]; then
        print_result "PASS" $testname "$summary"
    elif [ $ret -eq 77 ]; then
        print_result "SKIP" $testname "$summary"
    elif [ $ret -eq 124 ]; then
        print_result "FAIL" $testname "" "timeout; duration=$timeout"
    elif [ $ret -gt 127 ]; then
        print_result "FAIL" $testname "" "terminated on SIG$(kill -l $(($ret - 128)))"
    else
        print_result "FAIL" $testname "$summary"
    fi

    return $ret
}

#
# Probe for MAX_SMP, in case it's less than the number of host cpus.
#
# This probing currently only works for ARM, as x86 bails on another
# error first. Also, this probing isn't necessary for any ARM hosts
# running kernels later than v4.3, i.e. those including ef748917b52
# "arm/arm64: KVM: Remove 'config KVM_ARM_MAX_VCPUS'". So, at some
# point when maintaining the while loop gets too tiresome, we can
# just remove it...
while $RUNTIME_arch_run _NO_FILE_4Uhere_ -smp $MAX_SMP \
		|& grep -qi 'exceeds max CPUs'; do
	MAX_SMP=$((MAX_SMP >> 1))
done
run port80 '' 1 $bin '' '' '' '' ''
