/*
 * This file is part of ADDIS (Aggregate Data Drug Information System).
 * ADDIS is distributed from http://drugis.org/.
 * Copyright © 2009 Gert van Valkenhoef, Tommi Tervonen.
 * Copyright © 2010 Gert van Valkenhoef, Tommi Tervonen, Tijs Zwinkels,
 * Maarten Jacobs, Hanno Koeslag, Florin Schimbinschi, Ahmad Kamal, Daniel
 * Reid.
 * Copyright © 2011 Gert van Valkenhoef, Ahmad Kamal, Daniel Reid, Florin
 * Schimbinschi.
 * Copyright © 2012 Gert van Valkenhoef, Daniel Reid, Joël Kuiper, Wouter
 * Reckman.
 * Copyright © 2013 Gert van Valkenhoef, Joël Kuiper.
 *
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program 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 General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */

package org.drugis.addis.presentation;

import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;

import java.util.ArrayList;
import java.util.Collections;
import java.util.List;

import org.drugis.addis.ExampleData;
import org.drugis.addis.entities.ContinuousVariableType;
import org.drugis.addis.entities.Domain;
import org.drugis.addis.entities.DomainImpl;
import org.drugis.addis.entities.RateVariableType;
import org.drugis.addis.entities.Study;
import org.drugis.addis.entities.analysis.RandomEffectsMetaAnalysis;
import org.drugis.addis.entities.relativeeffect.BasicMeanDifference;
import org.drugis.addis.entities.treatment.TreatmentDefinition;
import org.drugis.common.JUnitUtil;
import org.junit.Test;

public class RandomEffectsMetaAnalysisPresentationTest {
	@Test
	public void testGetAnalysisTypeRate() {
		RandomEffectsMetaAnalysis meta = ExampleData.buildRandomEffectsMetaAnalysis("meta", ExampleData.buildEndpointHamd(), Collections.singletonList(ExampleData.buildStudyChouinard()), TreatmentDefinition.createTrivial(ExampleData.buildDrugFluoxetine()), TreatmentDefinition.createTrivial(ExampleData.buildDrugParoxetine()));
		Domain domain = new DomainImpl();
		ExampleData.initDefaultData(domain );
		PresentationModelFactory fact = new PresentationModelFactory(domain);
		PairWiseMetaAnalysisPresentation pres = (PairWiseMetaAnalysisPresentation) fact.getModel(meta);
		assertEquals(new RateVariableType(), pres.getAnalysisType());
	}
	
	@Test
	public void testGetAnalysisTypeContinuous() {
		RandomEffectsMetaAnalysis meta = ExampleData.buildRandomEffectsMetaAnalysis("meta", ExampleData.buildEndpointCgi(), Collections.singletonList(ExampleData.buildStudyChouinard()), TreatmentDefinition.createTrivial(ExampleData.buildDrugFluoxetine()), TreatmentDefinition.createTrivial(ExampleData.buildDrugParoxetine()));
		Domain domain = new DomainImpl();
		ExampleData.initDefaultData(domain );
		PresentationModelFactory fact = new PresentationModelFactory(domain);
		PairWiseMetaAnalysisPresentation pres = (PairWiseMetaAnalysisPresentation) fact.getModel(meta);
		assertTrue(pres.getAnalysisType() instanceof ContinuousVariableType);
	}
	
	@Test
	public void testGetIncludedStudies() {
		RandomEffectsMetaAnalysis meta = ExampleData.buildRandomEffectsMetaAnalysis("meta", ExampleData.buildEndpointCgi(), Collections.singletonList(ExampleData.buildStudyChouinard()), TreatmentDefinition.createTrivial(ExampleData.buildDrugFluoxetine()), TreatmentDefinition.createTrivial(ExampleData.buildDrugParoxetine()));
		Domain domain = new DomainImpl();
		ExampleData.initDefaultData(domain );
		PresentationModelFactory fact = new PresentationModelFactory(domain);
		PairWiseMetaAnalysisPresentation pres = (PairWiseMetaAnalysisPresentation) fact.getModel(meta);
		List<Study> expected = new ArrayList<Study>();
		expected.add(ExampleData.buildStudyChouinard());

		JUnitUtil.assertAllAndOnly(expected, pres.getStudyListPresentation().getIncludedStudies());
	}
	
	@Test
	public void testGetForestPlotPresentation() {
		RandomEffectsMetaAnalysis meta = ExampleData.buildRandomEffectsMetaAnalysis("meta", ExampleData.buildEndpointCgi(), Collections.singletonList(ExampleData.buildStudyChouinard()), TreatmentDefinition.createTrivial(ExampleData.buildDrugFluoxetine()), TreatmentDefinition.createTrivial(ExampleData.buildDrugParoxetine()));
		Domain domain = new DomainImpl();
		ExampleData.initDefaultData(domain );
		PresentationModelFactory fact = new PresentationModelFactory(domain);
		PairWiseMetaAnalysisPresentation pres = (PairWiseMetaAnalysisPresentation) fact.getModel(meta);
		
		REMAForestPlotPresentation expected = new REMAForestPlotPresentation(meta, BasicMeanDifference.class);
		REMAForestPlotPresentation actual = pres.getForestPlotPresentation(BasicMeanDifference.class);
		assertEquals(expected.getRelativeEffectAt(0).getConfidenceInterval().getPointEstimate(), actual.getRelativeEffectAt(0).getConfidenceInterval().getPointEstimate(), 0.001);
		assertEquals(expected.getHeterogeneity(), actual.getHeterogeneity());
		assertEquals(expected.getHeterogeneityI2(), actual.getHeterogeneityI2());
	}
	
}