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authorRossC <ross.carter@est.tech>2020-05-07 13:25:34 +0100
committerRossC <ross.carter@est.tech>2020-05-08 14:57:56 +0100
commitea317372413753320db681efb9a1e469c3776f42 (patch)
tree33fd9dcc743783146057b2c4f45c051c140ce077 /examples/examples-adaptive/src
parent5b0b7fac53c587307832119657a31b64926797a3 (diff)
Unit tests for various classes
Issue-ID: POLICY-1916 Change-Id: Ie7cafa16ce12ca542a4e76307caddb36b7753990 Signed-off-by: RossC <ross.carter@est.tech>
Diffstat (limited to 'examples/examples-adaptive/src')
-rw-r--r--examples/examples-adaptive/src/test/java/org/onap/policy/apex/examples/adaptive/AnomalyDetectionConceptTest.java124
1 files changed, 124 insertions, 0 deletions
diff --git a/examples/examples-adaptive/src/test/java/org/onap/policy/apex/examples/adaptive/AnomalyDetectionConceptTest.java b/examples/examples-adaptive/src/test/java/org/onap/policy/apex/examples/adaptive/AnomalyDetectionConceptTest.java
new file mode 100644
index 000000000..623588267
--- /dev/null
+++ b/examples/examples-adaptive/src/test/java/org/onap/policy/apex/examples/adaptive/AnomalyDetectionConceptTest.java
@@ -0,0 +1,124 @@
+/*-
+ * ============LICENSE_START=======================================================
+ * Copyright (c) 2020 Nordix Foundation.
+ * ================================================================================
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ * ============LICENSE_END=========================================================
+ */
+
+package org.onap.policy.apex.examples.adaptive;
+
+import static org.junit.Assert.*;
+
+import java.util.LinkedList;
+import java.util.List;
+
+import org.junit.Test;
+import org.onap.policy.apex.examples.adaptive.concepts.AnomalyDetection;
+
+public class AnomalyDetectionConceptTest {
+
+ @Test
+ public void testToString(){
+ AnomalyDetection anomalyDetection = new AnomalyDetection();
+ List<Double> newAnomalyScores = new LinkedList<>();
+ newAnomalyScores.add((double) 55);
+ anomalyDetection.setAnomalyScores(newAnomalyScores);
+ anomalyDetection.setFrequency(55);
+ assertEquals(newAnomalyScores, anomalyDetection.getAnomalyScores());
+ assertTrue(anomalyDetection.checkSetAnomalyScores());
+ assertEquals(55,anomalyDetection.getFrequency());
+ assertEquals(true,anomalyDetection.getFirstRound());
+ assertEquals("AnomalyDetection [firstRound=true, frequency=55, anomalyScores=[55.0], frequencyForecasted=null]", anomalyDetection.toString());
+ }
+
+ @Test
+ public void testHashCode(){
+ AnomalyDetection detection = new AnomalyDetection();
+ AnomalyDetection compareDetection = new AnomalyDetection();
+ assertEquals(detection.hashCode(), compareDetection.hashCode());
+ detection.init(1);
+ assertTrue(detection.isInitialized());
+ assertFalse(compareDetection.isInitialized());
+ compareDetection.setAnomalyScores(null);
+ compareDetection.setFirstRound(false);
+ compareDetection.setFrequencyForecasted(new LinkedList<>());
+ assertNotEquals(detection.hashCode(), compareDetection.hashCode());
+ }
+
+ @Test
+ public void testEquals() {
+ AnomalyDetection anomalyDetection = new AnomalyDetection();
+ AnomalyDetection comparisonDetection = new AnomalyDetection();
+ assertTrue(anomalyDetection.equals(comparisonDetection));
+ //Compare object to itself
+ assertTrue(anomalyDetection.equals(anomalyDetection));
+ //Compare object to null
+ assertFalse(anomalyDetection.equals(null));
+ //compare object to string
+ assertFalse(anomalyDetection.equals("test"));
+ // Anomaly Scores comparison
+ anomalyDetection.setAnomalyScores(null);
+ assertFalse(anomalyDetection.equals(comparisonDetection));
+ comparisonDetection.setAnomalyScores(null);
+ assertTrue(anomalyDetection.equals(comparisonDetection));
+ List<Double> anomalyScores = new LinkedList<>();
+ anomalyScores.add((double) 20);
+ anomalyDetection.setAnomalyScores(anomalyScores);
+ assertFalse(anomalyDetection.equals(comparisonDetection));
+ comparisonDetection.setAnomalyScores(anomalyScores);
+ assertTrue(anomalyDetection.checkSetAnomalyScores());
+ //First Round Checks
+ anomalyDetection.setFirstRound(false);
+ assertFalse(anomalyDetection.equals(comparisonDetection));
+ anomalyDetection.setFirstRound(true);
+ //Frequency Checks
+ anomalyDetection.setFrequency(55);
+ assertFalse(anomalyDetection.equals(comparisonDetection));
+ anomalyDetection.setFrequency(0);
+ //FrequencyForecasted Checks
+ List<Double> comparisonFrequency = new LinkedList<>();
+ comparisonDetection.setFrequencyForecasted(comparisonFrequency);
+ assertFalse(anomalyDetection.equals(comparisonDetection));
+ anomalyDetection.setFrequencyForecasted(anomalyScores);
+ assertFalse(anomalyDetection.equals(comparisonDetection));
+ anomalyDetection.setFrequencyForecasted(comparisonFrequency);
+ assertTrue(anomalyDetection.equals(comparisonDetection));
+ }
+
+ @Test
+ public void testCheckSets(){
+ AnomalyDetection anomalyDetection = new AnomalyDetection();
+ assertFalse(anomalyDetection.checkSetAnomalyScores());
+ List<Double> anomalyScores = new LinkedList<>();
+ anomalyDetection.setAnomalyScores(anomalyScores);
+ assertFalse(anomalyDetection.checkSetAnomalyScores());
+ anomalyScores.add((double)2);
+ anomalyDetection.setAnomalyScores(anomalyScores);
+ assertTrue(anomalyDetection.checkSetAnomalyScores());
+ anomalyDetection.unsetAnomalyScores();
+ assertFalse(anomalyDetection.checkSetAnomalyScores());
+ assertEquals(null, anomalyDetection.getFrequencyForecasted());
+ assertFalse(anomalyDetection.checkSetFrequencyForecasted());
+ List<Double> frequencyForecasted = new LinkedList<>();
+ anomalyDetection.setFrequencyForecasted(frequencyForecasted);
+ assertFalse(anomalyDetection.checkSetFrequencyForecasted());
+ frequencyForecasted.add((double)2);
+ anomalyDetection.setFrequencyForecasted(frequencyForecasted);
+ assertTrue(anomalyDetection.checkSetFrequencyForecasted());
+ anomalyDetection.unsetFrequencyForecasted();
+ assertFalse(anomalyDetection.checkSetFrequencyForecasted());
+ }
+}