/*
 * 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.dolphinscheduler.plugin.task.spark;

import org.apache.dolphinscheduler.plugin.task.api.AbstractYarnTask;
import org.apache.dolphinscheduler.plugin.task.util.MapUtils;
import org.apache.dolphinscheduler.spi.task.AbstractParameters;
import org.apache.dolphinscheduler.spi.task.Property;
import org.apache.dolphinscheduler.spi.task.ResourceInfo;
import org.apache.dolphinscheduler.spi.task.paramparser.ParamUtils;
import org.apache.dolphinscheduler.spi.task.paramparser.ParameterUtils;
import org.apache.dolphinscheduler.spi.task.request.TaskRequest;
import org.apache.dolphinscheduler.spi.utils.JSONUtils;

import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

public class SparkTask extends AbstractYarnTask {

    /**
     * spark parameters
     */
    private SparkParameters sparkParameters;

    /**
     * taskExecutionContext
     */
    private TaskRequest taskExecutionContext;

    public SparkTask(TaskRequest taskExecutionContext) {
        super(taskExecutionContext);
        this.taskExecutionContext = taskExecutionContext;
    }

    @Override
    public void init() {

        logger.info("spark task params {}", taskExecutionContext.getTaskParams());

        sparkParameters = JSONUtils.parseObject(taskExecutionContext.getTaskParams(), SparkParameters.class);

        if (null == sparkParameters) {
            logger.error("Spark params is null");
            return;
        }

        if (!sparkParameters.checkParameters()) {
            throw new RuntimeException("spark task params is not valid");
        }
        sparkParameters.setQueue(taskExecutionContext.getQueue());
        setMainJarName();
    }

    /**
     * create command
     * @return command
     */
    @Override
    protected String buildCommand() {
        // spark-submit [options] <app jar | python file> [app arguments]
        List<String> args = new ArrayList<>();

        // spark version
        String sparkCommand = SparkVersion.SPARK2.getCommand();

        if (SparkVersion.SPARK1.name().equals(sparkParameters.getSparkVersion())) {
            sparkCommand = SparkVersion.SPARK1.getCommand();
        }

        args.add(sparkCommand);

        // other parameters
        args.addAll(SparkArgsUtils.buildArgs(sparkParameters));

        // replace placeholder, and combining local and global parameters
        Map<String, Property> paramsMap = ParamUtils.convert(taskExecutionContext,getParameters());
        if (MapUtils.isEmpty(paramsMap)) {
            paramsMap = new HashMap<>();
        }
        if (MapUtils.isNotEmpty(taskExecutionContext.getParamsMap())) {
            paramsMap.putAll(taskExecutionContext.getParamsMap());
        }

        String command = ParameterUtils.convertParameterPlaceholders(String.join(" ", args), ParamUtils.convert(paramsMap));

        logger.info("spark task command: {}", command);

        return command;
    }

    @Override
    protected void setMainJarName() {
        // main jar
        ResourceInfo mainJar = sparkParameters.getMainJar();
        String resourceName = getResourceNameOfMainJar(mainJar);
        mainJar.setRes(resourceName);
        sparkParameters.setMainJar(mainJar);
    }

    @Override
    public AbstractParameters getParameters() {
        return sparkParameters;
    }
}