/*
 * 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,
 * 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.
 */

package org.apache.sysds.test.functions.codegenalg.parttwo;

import java.io.File;
import java.util.HashMap;

import org.junit.Assert;
import org.junit.Test;
import org.apache.sysds.api.DMLScript;
import org.apache.sysds.common.Types.ExecMode;
import org.apache.sysds.hops.OptimizerUtils;
import org.apache.sysds.common.Types.ExecType;
import org.apache.sysds.runtime.matrix.data.MatrixValue.CellIndex;
import org.apache.sysds.test.AutomatedTestBase;
import org.apache.sysds.test.TestConfiguration;
import org.apache.sysds.test.TestUtils;

public class AlgorithmPNMF extends AutomatedTestBase 
{	
	private final static String TEST_NAME1 = "Algorithm_PNMF";
	private final static String TEST_DIR = "functions/codegenalg/";
	private final static String TEST_CLASS_DIR = TEST_DIR + AlgorithmPNMF.class.getSimpleName() + "/";

	private final static double eps = 1e-5;
	
	private final static int rows = 1468;
	private final static int cols = 1207;
	private final static int rank = 20;
	
	private final static double sparsity1 = 0.7; //dense
	private final static double sparsity2 = 0.1; //sparse
	
	private final static double epsilon = 0.000000001;
	private final static double maxiter = 10;
	
	private CodegenTestType currentTestType = CodegenTestType.DEFAULT;
	
	@Override
	public void setUp() {
		TestUtils.clearAssertionInformation();
		addTestConfiguration(TEST_NAME1, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[] { "w" })); 
	}

	@Test
	public void testPNMFDenseCP() {
		runPNMFTest(TEST_NAME1, false, false, ExecType.CP, CodegenTestType.DEFAULT);
	}
	
	@Test
	public void testPNMFSparseCP() {
		runPNMFTest(TEST_NAME1, false, true, ExecType.CP, CodegenTestType.DEFAULT);
	}

	@Test
	public void testPNMFDenseCPFuseAll() {
		runPNMFTest(TEST_NAME1, false, false, ExecType.CP, CodegenTestType.FUSE_ALL);
	}

	@Test
	public void testPNMFSparseCPFuseAll() {
		runPNMFTest(TEST_NAME1, false, true, ExecType.CP, CodegenTestType.FUSE_ALL);
	}

	@Test
	public void testPNMFDenseCPFuseNoRedundancy() {
		runPNMFTest(TEST_NAME1, false, false, ExecType.CP, CodegenTestType.FUSE_NO_REDUNDANCY);
	}

	@Test
	public void testPNMFSparseCPFuseNoRedundancy() {
		runPNMFTest(TEST_NAME1, false, true, ExecType.CP, CodegenTestType.FUSE_NO_REDUNDANCY);
	}
	
	//TODO requires proper handling of blocksize constraints
	//@Test
	//public void testPNMFDenseSP() {
	//	runPNMFTest(TEST_NAME1, false, false, ExecType.SPARK);
	//}
	
	//@Test
	//public void testPNMFSparseSP() {
	//	runPNMFTest(TEST_NAME1, false, true, ExecType.SPARK);
	//}

	private void runPNMFTest( String testname, boolean rewrites, boolean sparse, ExecType instType, CodegenTestType CodegenTestType)
	{
		boolean oldFlag = OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION;
		ExecMode platformOld = rtplatform;
		switch( instType ){
			case SPARK: rtplatform = ExecMode.SPARK; break;
			default: rtplatform = ExecMode.HYBRID; break;
		}
		currentTestType = CodegenTestType;
		boolean sparkConfigOld = DMLScript.USE_LOCAL_SPARK_CONFIG;
		if( rtplatform == ExecMode.SPARK || rtplatform == ExecMode.HYBRID )
			DMLScript.USE_LOCAL_SPARK_CONFIG = true;

		try
		{
			String TEST_NAME = testname;
			TestConfiguration config = getTestConfiguration(TEST_NAME);
			loadTestConfiguration(config);
			
			fullDMLScriptName = "scripts/staging/PNMF.dml";
			programArgs = new String[]{ "-stats", "-args", input("X"), 
				input("W"), input("H"), String.valueOf(rank), String.valueOf(epsilon), 
				String.valueOf(maxiter), output("W"), output("H")};

			rCmd = getRCmd(inputDir(), String.valueOf(rank), String.valueOf(epsilon), 
				String.valueOf(maxiter), expectedDir());

			OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION = rewrites;
			
			//generate actual datasets
			double[][] X = getRandomMatrix(rows, cols, 0, 1, sparse?sparsity2:sparsity1, 234);
			writeInputMatrixWithMTD("X", X, true);
			double[][] W = getRandomMatrix(rows, rank, 0, 0.025, 1.0, 3);
			writeInputMatrixWithMTD("W", W, true);
			double[][] H = getRandomMatrix(rank, cols, 0, 0.025, 1.0, 7);
			writeInputMatrixWithMTD("H", H, true);
			
			runTest(true, false, null, -1); 
			runRScript(true); 
			
			//compare matrices 
			HashMap<CellIndex, Double> dmlW = readDMLMatrixFromOutputDir("W");
			HashMap<CellIndex, Double> dmlH = readDMLMatrixFromOutputDir("H");
			HashMap<CellIndex, Double> rW = readRMatrixFromExpectedDir("W");
			HashMap<CellIndex, Double> rH = readRMatrixFromExpectedDir("H");
			TestUtils.compareMatrices(dmlW, rW, eps, "Stat-DML", "Stat-R");
			TestUtils.compareMatrices(dmlH, rH, eps, "Stat-DML", "Stat-R");
			Assert.assertTrue(heavyHittersContainsSubString("spoof") || heavyHittersContainsSubString("sp_spoof"));
		}
		finally {
			rtplatform = platformOld;
			DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
			OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION = oldFlag;
			OptimizerUtils.ALLOW_AUTO_VECTORIZATION = true;
			OptimizerUtils.ALLOW_OPERATOR_FUSION = true;
		}
	}

	/**
	 * Override default configuration with custom test configuration to ensure
	 * scratch space and local temporary directory locations are also updated.
	 */
	@Override
	protected File getConfigTemplateFile() {
		return getCodegenConfigFile(SCRIPT_DIR + TEST_DIR, currentTestType);
	}
}
