#!/usr/bin/env bash
#
set -eu

# change dir to the script dir, no matter where we are executed from
SCRIPTDIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
SCRIPTNAME=="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"

GIT=`which git`
if [ -z $GIT ];then
  echo git not found
  exit 1
fi

# configure

function usage() {
    echo "$SCRIPTNAME [OPTIONS]"
    echo "  -h                      print this message"
    echo "  -v                      verbose output"
    echo "  -c [CONFIGURATION]      build configuration {Debug,Release}"
    echo "  -p [PLATFORM]           build target platform {android,mac}"
}

: ${PLATFORM:=mac}
: ${CONFIGURATION:=Debug}
: ${VERBOSE:=0}

while getopts "hvc:p:" opt; do
  case $opt in
    h)
      usage
      exit 1
      ;;
    v)
      VERBOSE=1
      ;;
    c)
      CONFIGURATION="${OPTARG}"
      ;;
    p)
      PLATFORM="${OPTARG}"
      ;;
    *)
      usage
      exit 1
      ;;
  esac
done

echo "Entering directory \`${SCRIPTDIR}'"
cd $SCRIPTDIR

: ${TOPLEVEL:=`$GIT rev-parse --show-toplevel`}
BUILDPATH=${TOPLEVEL}/_build/${PLATFORM}/${CONFIGURATION}/test/engine

XML="*GoogleTest.xml"
LOG=cozmoEngineGoogleTest.log
LOGZIP=cozmoEngineGoogleTest.tar.gz

CTEST="ctest --output-on-failure -O ${LOG}"

if (( ${VERBOSE} )); then
  CTEST="${CTEST} -V"
fi

if [ ! ${ANKICONFIGROOT:+x} ]; then
  export ANKICONFIGROOT=$BUILDPATH
fi
if [ ! ${ANKIWORKROOT:+x} ]; then
  export ANKIWORKROOT=$BUILDPATH
fi


echo "Copying animation assets for tests"  
${TOPLEVEL}/tools/animationScripts/copy_anims_for_test.py

# unit test(s) look for this and dump a file if it's set
# uncomment to generate a build artifact of all behaviors and their relationships
export ANKI_TEST_BEHAVIOR_FILE="behavior_transitions.txt"
export ANKI_TEST_BEHAVIOR_BRANCHES="behavior_branches.txt"
export ANKI_TEST_BEHAVIOR_FEATURES="behavior_active_features.txt"
export ANKI_TEST_DELEGATION_TREE_HTML="delegation_tree.html"


# If the $VOICE_INTENT_DIR environment variable is set, then assume it is a version of the data
# that gets stored in the https://github.com/anki/voice-intent-resolution-config repo and provides
# the primary voice intent resolution data from the main Dialogflow project. Meanwhile, there is
# additional voice intent resolution data in a 'victor-games-dev-en-us' Dialogflow project, but that
# data doesn't (yet) live in any git repo, so this script has to grab that secondary voice intent
# resolution data directly from Dialogflow and merge it with the primary data.

if [[ ${VOICE_INTENT_DIR:+x} ]]; then
  set +e

  DATA_DIR="dialogflow-en-us"

  if [[ ! "$VOICE_INTENT_DIR" = /* ]]; then
    VOICE_INTENT_DIR="${TOPLEVEL}/${VOICE_INTENT_DIR}"
  fi
  VOICE_INTENT_DATA_DIR="${VOICE_INTENT_DIR}/${DATA_DIR}"
  echo "Source of primary voice intent resolution data: ${VOICE_INTENT_DATA_DIR}"

  # Backup the directory for the primary voice intent resolution data before merging in the secondary data
  PRIMARY_BACKUP_DIR=$(mktemp -d)
  cp -pR $VOICE_INTENT_DATA_DIR $PRIMARY_BACKUP_DIR/

  OTHER_DIALOGFLOW_PROJECT="victor-games-dev-en-us"
  # The $DIALOGFLOW_PRIVATE_KEY environment variable should be set to a private key for ^ project

  # Grab the secondary voice intent resolution data directly from Dialogflow and merge it with the primary data
  DIALOGFLOW_PULL_SCRIPT=${VOICE_INTENT_DIR}/lib/util/tools/dialogflow/dialogflow_download.py
  SECONDARY_DATA_DIR=$(mktemp -d)
  ZIP_FILE=$(mktemp).zip
  python2 $DIALOGFLOW_PULL_SCRIPT --project_id $OTHER_DIALOGFLOW_PROJECT --unpack_dir $SECONDARY_DATA_DIR --zip_file $ZIP_FILE
  cp ${SECONDARY_DATA_DIR}/intents/*.json ${VOICE_INTENT_DATA_DIR}/intents/
  cp ${SECONDARY_DATA_DIR}/entities/*.json ${VOICE_INTENT_DATA_DIR}/entities/
  rm -rf $SECONDARY_DATA_DIR $ZIP_FILE

  # The UserIntentsParsing.CloudSampleFileParses engine unit test looks for this file to run cloud intent tests
  export ANKI_TEST_INTENT_SAMPLE_FILE="${TMPDIR}/intent_samples_for_test.json"
  echo "Intent sample file: ${ANKI_TEST_INTENT_SAMPLE_FILE}"

  # Generate the json file of Dialogflow sample intents that will be used for the UserIntentsParsing.CloudSampleFileParses test
  rm -f $ANKI_TEST_INTENT_SAMPLE_FILE
  ${TOPLEVEL}/tools/ai/makeSampleIntents.py $VOICE_INTENT_DATA_DIR $ANKI_TEST_INTENT_SAMPLE_FILE

  # Restore the directory for the primary voice intent resolution data back to its original
  # state before the secondary data was merged in
  rm -rf $VOICE_INTENT_DATA_DIR
  mv "${PRIMARY_BACKUP_DIR}/${DATA_DIR}" $VOICE_INTENT_DIR/
  rmdir $PRIMARY_BACKUP_DIR

  set -e
fi

# Done with the setup for the file needed to run cloud intent tests ($ANKI_TEST_INTENT_SAMPLE_FILE)


echo "Entering directory \`${BUILDPATH}'"
cd ${BUILDPATH}

# clean
rm -rf ${XML} ${LOG} ${LOGZIP}

# prepare
mkdir -p testdata

# execute
set +e
set -o pipefail

${CTEST}

EXIT_STATUS=$?

# additional files generated by tests we want to save, filled in below
FILES="" 

## disabled automatic generation of behaviors pdf file
# if [[ ${ANKI_TEST_BEHAVIOR_FILE:+x} ]]; then
#   BEHAVIOR_FILE="${BUILDPATH}/${ANKI_TEST_BEHAVIOR_FILE}"
#   # unit tests may have generated this file
#   if [ -f $BEHAVIOR_FILE ]; then
#     SCRIPT=${TOPLEVEL}/tools/ai/plotBehaviors.py
#     BEHAVIOR_OUT=behaviors.pdf
#     if ${SCRIPT} -o ${BEHAVIOR_OUT} ${BEHAVIOR_FILE}; then
#       FILES="${FILES} ${BEHAVIOR_OUT}"
#     fi
#   fi
# fi

set -e

#  publish results
tar czf ${LOGZIP} ${LOG} ${XML} ${FILES}

# exit
exit $EXIT_STATUS