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());
+    }
+}