package org.apache.helix.controller.rebalancer.waged.constraints;

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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,
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import org.apache.helix.controller.rebalancer.waged.model.AssignableNode;
import org.apache.helix.controller.rebalancer.waged.model.AssignableReplica;
import org.apache.helix.controller.rebalancer.waged.model.ClusterContext;
import org.testng.Assert;
import org.testng.annotations.BeforeMethod;
import org.testng.annotations.Test;

import static org.mockito.Matchers.anyMap;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.when;

public class TestMaxCapacityUsageInstanceConstraint {
  private AssignableReplica _testReplica;
  private AssignableNode _testNode;
  private ClusterContext _clusterContext;
  private final SoftConstraint _constraint = new MaxCapacityUsageInstanceConstraint();

  @BeforeMethod
  public void setUp() {
    _testNode = mock(AssignableNode.class);
    _testReplica = mock(AssignableReplica.class);
    _clusterContext = mock(ClusterContext.class);
  }

  @Test
  public void testGetNormalizedScore() {
    when(_testNode.getProjectedHighestUtilization(anyMap())).thenReturn(0.8f);
    when(_clusterContext.getEstimatedMaxUtilization()).thenReturn(1f);
    double score = _constraint.getAssignmentScore(_testNode, _testReplica, _clusterContext);
    // Convert to float so as to compare with equal.
    Assert.assertEquals((float) score,0.8f);
    double normalizedScore =
        _constraint.getAssignmentNormalizedScore(_testNode, _testReplica, _clusterContext);
    Assert.assertTrue(normalizedScore > 0.99);
  }
}