tods/test.sh

#!/bin/bash

#test_scripts=$(ls tests)
test_scripts=$(ls tests | grep -v -f tested_file.txt)

for file in $test_scripts
do
	for f in $tested_file
	do
		echo $f
	done
	echo $file

	# Test pipeline building
	python tests/$file > tmp.txt 2>>tmp.txt
	error=$(cat tmp.txt | grep 'Error' | wc -l) 
	echo "\t#Pipeline Building Errors:" $error
	if [ "$error" -gt "0" ]
	then
		cat tmp.txt
		#rm tmp.txt
		break
	fi
	# Test on KPI dataset
	#python3 -m d3m runtime fit-produce -p pipeline.yml -r datasets/anomaly/kpi/TRAIN/problem_TRAIN/problemDoc.json -i datasets/anomaly/kpi/TRAIN/dataset_TRAIN/datasetDoc.json -t datasets/anomaly/kpi/TEST/dataset_TEST/datasetDoc.json -o results.csv -O pipeline_run.yml
	#python3 -m d3m runtime fit-produce -p pipeline.yml -r datasets/anomaly/kpi/TRAIN/problem_TRAIN/problemDoc.json -i datasets/anomaly/kpi/TRAIN/dataset_TRAIN/datasetDoc.json -t datasets/anomaly/kpi/TEST/dataset_TEST/datasetDoc.json -o results.csv 2>>tmp.txt

	# Test on Yahoo dataset
	#python3 -m d3m runtime fit-produce -p pipeline.yml -r datasets/anomaly/yahoo_sub_5/TRAIN/problem_TRAIN/problemDoc.json -i datasets/anomaly/yahoo_sub_5/TRAIN/dataset_TRAIN/datasetDoc.json -t datasets/anomaly/yahoo_sub_5/TEST/dataset_TEST/datasetDoc.json -o results.csv -O pipeline_run.yml
	python3 -m d3m runtime fit-produce -p pipeline.yml -r datasets/anomaly/yahoo_sub_5/TRAIN/problem_TRAIN/problemDoc.json -i datasets/anomaly/yahoo_sub_5/TRAIN/dataset_TRAIN/datasetDoc.json -t datasets/anomaly/yahoo_sub_5/TEST/dataset_TEST/datasetDoc.json -o results.csv 2> tmp.txt
	error=$(cat tmp.txt | grep 'Error' | wc -l) 
	echo "\t#Pipeline Running Errors:" $error
	if [ "$error" -gt "0" ]
	then
		cat tmp.txt
		#rm tmp.txt
		break
	fi
	echo $file >> tested_file.txt
done