/*
 * 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.federated;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
import org.apache.sysds.api.DMLScript;
import org.apache.sysds.common.Types;
import org.apache.sysds.runtime.meta.MatrixCharacteristics;
import org.apache.sysds.test.AutomatedTestBase;
import org.apache.sysds.test.TestConfiguration;
import org.apache.sysds.test.TestUtils;

import java.util.Arrays;
import java.util.Collection;

@RunWith(value = Parameterized.class)
@net.jcip.annotations.NotThreadSafe
public class FederatedSumTest extends AutomatedTestBase {

	private final static String TEST_DIR = "functions/federated/";
	private final static String TEST_NAME = "FederatedSumTest";
	private final static String TEST_CLASS_DIR = TEST_DIR + FederatedSumTest.class.getSimpleName() + "/";

	private final static int blocksize = 1024;
	@Parameterized.Parameter()
	public int rows;
	@Parameterized.Parameter(1)
	public int cols;

	@Parameterized.Parameters
	public static Collection<Object[]> data() {
		return Arrays.asList(new Object[][] {{2, 1000}, {10, 100}, {100, 10}, {1000, 1}, {10, 2000}, {2000, 10}});
	}

	@Override
	public void setUp() {
		TestUtils.clearAssertionInformation();
		addTestConfiguration(TEST_NAME,
			new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, new String[] {"S.scalar", "R", "C"}));
	}

	@Test
	public void federatedSumCP() {
		federatedSum(Types.ExecMode.SINGLE_NODE);
	}

	@Test
	public void federatedSumSP() {
		federatedSum(Types.ExecMode.SPARK);
	}

	public void federatedSum(Types.ExecMode execMode) {
		boolean sparkConfigOld = DMLScript.USE_LOCAL_SPARK_CONFIG;
		Types.ExecMode platformOld = rtplatform;

		getAndLoadTestConfiguration(TEST_NAME);
		String HOME = SCRIPT_DIR + TEST_DIR;

		double[][] A = getRandomMatrix(rows / 2, cols, -10, 10, 1, 1);
		writeInputMatrixWithMTD("A", A, false, new MatrixCharacteristics(rows / 2, cols, blocksize, (rows / 2) * cols));
		int port = getRandomAvailablePort();
		Thread t = startLocalFedWorker(port);

		// we need the reference file to not be written to hdfs, so we get the correct format
		rtplatform = Types.ExecMode.SINGLE_NODE;
		// Run reference dml script with normal matrix for Row/Col sum
		fullDMLScriptName = HOME + TEST_NAME + "Reference.dml";
		programArgs = new String[] {"-args", input("A"), input("A"), expected("R"), expected("C")};
		runTest(true, false, null, -1);

		// write expected sum
		double sum = 0;
		for(double[] doubles : A) {
			sum += Arrays.stream(doubles).sum();
		}
		sum *= 2;
		writeExpectedScalar("S", sum);

		// reference file should not be written to hdfs, so we set platform here
		rtplatform = execMode;
		if(rtplatform == Types.ExecMode.SPARK) {
			DMLScript.USE_LOCAL_SPARK_CONFIG = true;
		}
		TestConfiguration config = availableTestConfigurations.get(TEST_NAME);
		loadTestConfiguration(config);
		fullDMLScriptName = HOME + TEST_NAME + ".dml";
		programArgs = new String[] {"-nvargs", "in=" + TestUtils.federatedAddress(port, input("A")), "rows=" + rows,
			"cols=" + cols, "out_S=" + output("S"), "out_R=" + output("R"), "out_C=" + output("C")};

		runTest(true, false, null, -1);

		// compare all sums via files
		compareResults(1e-11);

		TestUtils.shutdownThread(t);
		rtplatform = platformOld;
		DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
	}
}