/*
 * Sonar, open source software quality management tool.
 * Copyright (C) 2008-2011 SonarSource
 * mailto:contact AT sonarsource DOT com
 *
 * Sonar is free software; you can redistribute it and/or
 * modify it under the terms of the GNU Lesser General Public
 * License as published by the Free Software Foundation; either
 * version 3 of the License, or (at your option) any later version.
 *
 * Sonar is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 * Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with Sonar; if not, write to the Free Software
 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02
 */
package org.sonar.api.measures;

import org.junit.Test;

import static org.hamcrest.CoreMatchers.is;
import static org.junit.Assert.*;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.when;

public class RangeDistributionBuilderTest {
  
  @Test
  public void workOnAnLimitsArrayCopy() {
    Integer[] limits = new Integer[]{4,2,0};
    RangeDistributionBuilder builder = new RangeDistributionBuilder(CoreMetrics.CLASS_COMPLEXITY_DISTRIBUTION, limits);
    builder.add(3.2).add(2.0).add(6.2).build();
    assertTrue(builder.getBottomLimits() != limits);
    assertThat(limits[0], is(4));
    assertThat(limits[1], is(2));
    assertThat(limits[2], is(0));
  }

  @Test
  public void buildIntegerDistribution() {
    RangeDistributionBuilder builder = new RangeDistributionBuilder(CoreMetrics.CLASS_COMPLEXITY_DISTRIBUTION, new Integer[]{0, 2, 4});
    Measure measure = builder
        .add(3.2)
        .add(2.0)
        .add(6.2)
        .build();

    assertThat(measure.getData(), is("0=0;2=2;4=1"));
  }

  @Test
  public void buildDoubleDistribution() {
    RangeDistributionBuilder builder = new RangeDistributionBuilder(CoreMetrics.CLASS_COMPLEXITY_DISTRIBUTION, new Double[]{0.0, 2.0, 4.0});
    Measure measure = builder
        .add(3.2)
        .add(2.0)
        .add(6.2)
        .build();

    assertThat(measure.getData(), is("0=0;2=2;4=1"));
  }

  @Test
  public void valueLesserThanMinimumIsIgnored() {
    RangeDistributionBuilder builder = new RangeDistributionBuilder(CoreMetrics.CLASS_COMPLEXITY_DISTRIBUTION, new Integer[]{0, 2, 4});
    Measure measure = builder
        .add(3.2)
        .add(2.0)
        .add(-3.0)
        .build();

    assertThat(measure.getData(), is("0=0;2=2;4=0"));
  }

  @Test
  public void addDistributionMeasureWithIdenticalLimits() {
    Measure measureToAdd = mock(Measure.class);
    when(measureToAdd.getData()).thenReturn("0=3;2=5");

    RangeDistributionBuilder builder = new RangeDistributionBuilder(CoreMetrics.CLASS_COMPLEXITY_DISTRIBUTION, new Integer[]{0, 2});
    builder.clear();
    Measure measure = builder
        .add(1)
        .add(measureToAdd)
        .build();

    assertThat(measure.getData(), is("0=4;2=5"));
  }


  @Test
  public void addDistributionMeasureWithDifferentIntLimits() {
    Measure measureToAdd = mock(Measure.class);
    when(measureToAdd.getData()).thenReturn("0=3;2=5");

    RangeDistributionBuilder builder = new RangeDistributionBuilder(CoreMetrics.CLASS_COMPLEXITY_DISTRIBUTION, new Integer[]{0, 2, 4});
    builder.clear();
    Measure measure = builder
        .add(1)
        .add(measureToAdd)
        .build();

    assertNull(measure);
  }

  @Test
  public void addDistributionMeasureWithDifferentDoubleLimits() {
    Measure measureToAdd = mock(Measure.class);
    when(measureToAdd.getData()).thenReturn("0.0=3;3.0=5;6.0=9");

    RangeDistributionBuilder builder = new RangeDistributionBuilder(CoreMetrics.CLASS_COMPLEXITY_DISTRIBUTION, new Double[]{0.0, 2.0, 4.0});
    builder.clear();
    Measure measure = builder
        .add(measureToAdd)
        .build();

    assertNull(measure);
  }

  @Test
  public void initLimitsAtTheFirstAdd() {
    Measure m1 = mock(Measure.class);
    when(m1.getData()).thenReturn("0.5=3;3.5=5;6.5=9");

    Measure m2 = mock(Measure.class);
    when(m2.getData()).thenReturn("0.5=0;3.5=2;6.5=1");

    RangeDistributionBuilder builder = new RangeDistributionBuilder(CoreMetrics.CLASS_COMPLEXITY_DISTRIBUTION);
    builder.clear();
    Measure measure = builder
        .add(m1)
        .add(m2)
        .build();

    assertThat(measure.getData(), is("0.5=3;3.5=7;6.5=10"));
  }


  @Test
  public void keepIntRangesWhenMergingDistributions() {
    Measure m1 = mock(Measure.class);
    when(m1.getData()).thenReturn("0=3;3=5;6=9");

    Measure m2 = mock(Measure.class);
    when(m2.getData()).thenReturn("0=0;3=2;6=1");

    RangeDistributionBuilder builder = new RangeDistributionBuilder(CoreMetrics.CLASS_COMPLEXITY_DISTRIBUTION);
    builder.clear();
    Measure measure = builder
        .add(m1)
        .add(m2)
        .build();

    assertThat(measure.getData(), is("0=3;3=7;6=10"));
  }

  @Test
  public void nullIfEmptyData() {
    RangeDistributionBuilder builder = new RangeDistributionBuilder(CoreMetrics.CLASS_COMPLEXITY_DISTRIBUTION, new Integer[]{0, 2, 4});

    assertThat(builder.isEmpty(), is(true));
    Measure measure = builder.build(false);
    assertNull(measure);

    measure = builder.build(true);
    assertThat(measure.getData(), is("0=0;2=0;4=0"));
  }

  @Test
  public void aggregateEmptyDistribution() {
    RangeDistributionBuilder builder = new RangeDistributionBuilder(CoreMetrics.LCOM4_DISTRIBUTION);
    builder.add(new Measure(CoreMetrics.LCOM4_DISTRIBUTION, (String)null));
    Measure distribution = builder.build();
    assertThat(distribution.getData(), is(""));
  }
}