composetest.sh

#!/bin/sh
#
# This script configures environment variables, loads data into our environment,
# and then runs tests.
#

# function to give us a way to exit early and clean up if need be.
cleanup()
{
	if [ -z "$1" ] ; then
		exit 0
	else
		echo "failed: $1"
		exit 1
	fi
}

# set up environment
aws "$S3ENDPOINT" s3 mb "s3://$BUCKETNAME"
./manage.py migrate || cleanup "could not do db migrations"

# load data into our environment

# Disabling this for now.

# export BATCHSIZE=4
# export DOMAINCSV="/tmp/testdomains.csv"
# cat <<EOF > "$DOMAINCSV"
# Domain Name,Domain Type,Agency,Organization,City,State,Security Contact Email
# 18F.GOV,Federal Agency - Executive,General Services Administration,18F,Washington,DC,tts-vulnerability-reports@gsa.gov
# GSA.GOV,Federal Agency - Executive,General Services Administration,GSA,Washington,DC,(blank)
# AFRH.GOV,Federal Agency - Executive,Armed Forces Retirement Home,Armed Forces Retirement Home,Washington,DC,(blank)
# CLOUD.GOV,Federal Agency - Executive,General Services Administration,18F | GSA,Washington,DC,tts-vulnerability-reports@gsa.gov
# LOGIN.GOV,Federal Agency - Executive,General Services Administration,General Services Administration,Washington,DC,tts-vulnerability-reports@gsa.gov
# calendar.gsa.gov,,,,,,
# *.ecmapps.treasuryecm.gov,,,,,,
# EOF
# ./scan_engine.sh

# run app test suite
./manage.py test || cleanup "python test suite exited uncleanly"

# Disabling this for now
# SCANTYPES="
# 	pagedata
# 	200scanner
# 	uswds2
# 	sitemap
# 	privacy
# 	dap
# 	third_parties
# 	lighthouse
# "

# # do a test that checks if the s3 bucket contains data
# echo "checking what is in the s3 bucket"
# for i in $SCANTYPES ; do
# 	aws "$S3ENDPOINT" s3 ls "s3://$BUCKETNAME/$i/" | grep 18f.gov >/dev/null || cleanup "$i s3 bucket does not contain the 18f.gov scan"
# done

# # test that there are indexes available
# echo "checking whether indexes were created"
# for i in $SCANTYPES ; do
# 	curl -s "$ESURL"/_cat/indices?v | grep $i >/dev/null || cleanup "the $i index was not created"
# done

# everything must be great!
cleanup