/**
 * Copyright (C) 2010-2017 Gordon Fraser, Andrea Arcuri and EvoSuite
 * contributors
 *
 * This file is part of EvoSuite.
 *
 * EvoSuite 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 3.0 of the License, or
 * (at your option) any later version.
 *
 * EvoSuite 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 Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with EvoSuite. If not, see <http://www.gnu.org/licenses/>.
 */
/**
 * 
 */
package org.evosuite.seeding.factories;

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

import org.evosuite.EvoSuite;
import org.evosuite.Properties;
import org.evosuite.SystemTestBase;
import org.evosuite.ga.metaheuristics.GeneticAlgorithm;
import org.evosuite.testsuite.TestSuiteChromosome;
import org.junit.Before;
import org.junit.Test;

import com.examples.with.different.packagename.staticusage.Class1;

public class BIandRITestSuiteChromosomeFactorySystemTest extends SystemTestBase {
	ChromosomeSampleFactory defaultFactory = new ChromosomeSampleFactory();
	TestSuiteChromosome bestIndividual;
	GeneticAlgorithm<TestSuiteChromosome> ga;

	@Before
	public void setup() {
		EvoSuite evosuite = new EvoSuite();

		String targetClass = Class1.class.getCanonicalName();
		Properties.TARGET_CLASS = targetClass;
		String[] command = new String[] { "-generateSuite", "-class",
				targetClass };

		Object result = evosuite.parseCommandLine(command);

		ga = (GeneticAlgorithm<TestSuiteChromosome>) getGAFromResult(result);
		bestIndividual = (TestSuiteChromosome) ga.getBestIndividual();
	}

	@Test
	public void testBISeed() {
		BestIndividualTestSuiteChromosomeFactory bicf = new BestIndividualTestSuiteChromosomeFactory(
				defaultFactory, bestIndividual);

		assertEquals(bestIndividual.toString(), bicf.getChromosome().toString());
	}

	@Test
	public void testNotSeed() {
		Properties.SEED_PROBABILITY = 0;
		BIAndRITestSuiteChromosomeFactory bicf = new BIAndRITestSuiteChromosomeFactory(
				defaultFactory, ga);
		bicf.getChromosome();
		assertEquals(bicf.getChromosome(), ChromosomeSampleFactory.CHROMOSOME);
	}

	@Test
	public void testRandomSeed() {
		Properties.SEED_PROBABILITY = 1;
		BIAndRITestSuiteChromosomeFactory bicf = new BIAndRITestSuiteChromosomeFactory(
				defaultFactory, ga);
		bicf.getChromosome();
		boolean isFromPopulation = false;
		TestSuiteChromosome tsc = bicf.getChromosome();
		for (TestSuiteChromosome t : ga.getPopulation()) {
			if (tsc.equals(t)) {
				isFromPopulation = true;
			}
		}
		assertTrue(isFromPopulation);
	}

}