imageClassify.Describe.java Source code

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Here is the source code for imageClassify.Describe.java

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/**
 * 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 imageClassify;

import com.google.common.collect.Lists;
import org.apache.commons.cli2.CommandLine;
import org.apache.commons.cli2.Group;
import org.apache.commons.cli2.Option;
import org.apache.commons.cli2.OptionException;
import org.apache.commons.cli2.builder.ArgumentBuilder;
import org.apache.commons.cli2.builder.DefaultOptionBuilder;
import org.apache.commons.cli2.builder.GroupBuilder;
import org.apache.commons.cli2.commandline.Parser;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.mahout.classifier.df.DFUtils;
import org.apache.mahout.classifier.df.data.DataLoader;
import org.apache.mahout.classifier.df.data.Dataset;
import org.apache.mahout.classifier.df.data.DescriptorException;
import org.apache.mahout.classifier.df.data.DescriptorUtils;
import org.apache.mahout.common.CommandLineUtil;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.io.IOException;
import java.util.Collection;
import java.util.List;

/**
 * Generates a file descriptor for a given dataset
 */
public final class Describe {

    private static final Logger log = LoggerFactory.getLogger(Describe.class);

    private Describe() {
    }

    public static void main(String[] args) throws IOException, DescriptorException {

        DefaultOptionBuilder obuilder = new DefaultOptionBuilder();
        ArgumentBuilder abuilder = new ArgumentBuilder();
        GroupBuilder gbuilder = new GroupBuilder();

        Option pathOpt = obuilder.withLongName("path").withShortName("p").withRequired(true)
                .withArgument(abuilder.withName("path").withMinimum(1).withMaximum(1).create())
                .withDescription("Data path").create();

        Option descriptorOpt = obuilder.withLongName("descriptor").withShortName("d").withRequired(true)
                .withArgument(abuilder.withName("descriptor").withMinimum(1).create())
                .withDescription("data descriptor").create();

        Option descPathOpt = obuilder.withLongName("file").withShortName("f").withRequired(true)
                .withArgument(abuilder.withName("file").withMinimum(1).withMaximum(1).create())
                .withDescription("Path to generated descriptor file").create();

        Option regOpt = obuilder.withLongName("regression").withDescription("Regression Problem").withShortName("r")
                .create();

        Option helpOpt = obuilder.withLongName("help").withDescription("Print out help").withShortName("h")
                .create();

        Group group = gbuilder.withName("Options").withOption(pathOpt).withOption(descPathOpt)
                .withOption(descriptorOpt).withOption(regOpt).withOption(helpOpt).create();

        try {
            Parser parser = new Parser();
            parser.setGroup(group);
            CommandLine cmdLine = parser.parse(args);

            if (cmdLine.hasOption(helpOpt)) {
                CommandLineUtil.printHelp(group);
                return;
            }

            String dataPath = cmdLine.getValue(pathOpt).toString();
            String descPath = cmdLine.getValue(descPathOpt).toString();
            List<String> descriptor = convert(cmdLine.getValues(descriptorOpt));
            boolean regression = cmdLine.hasOption(regOpt);

            log.debug("Data path : {}", dataPath);
            log.debug("Descriptor path : {}", descPath);
            log.debug("Descriptor : {}", descriptor);
            log.debug("Regression : {}", regression);

            runTool(dataPath, descriptor, descPath, regression);
        } catch (OptionException e) {
            log.warn(e.toString());
            CommandLineUtil.printHelp(group);
        }
    }

    private static void runTool(String dataPath, Iterable<String> description, String filePath, boolean regression)
            throws DescriptorException, IOException {
        log.info("Generating the descriptor...");
        String descriptor = DescriptorUtils.generateDescriptor(description);

        Path fPath = validateOutput(filePath);

        log.info("generating the dataset...");
        Dataset dataset = generateDataset(descriptor, dataPath, regression);

        log.info("storing the dataset description");
        String json = dataset.toJSON();
        DFUtils.storeString(new Configuration(), fPath, json);
    }

    private static Dataset generateDataset(String descriptor, String dataPath, boolean regression)
            throws IOException, DescriptorException {
        Path path = new Path(dataPath);
        FileSystem fs = path.getFileSystem(new Configuration());

        return DataLoader.generateDataset(descriptor, regression, fs, path);
    }

    private static Path validateOutput(String filePath) throws IOException {
        Path path = new Path(filePath);
        FileSystem fs = path.getFileSystem(new Configuration());
        if (fs.exists(path)) {
            throw new IllegalStateException("Descriptor's file already exists");
        }

        return path;
    }

    private static List<String> convert(Collection<?> values) {
        List<String> list = Lists.newArrayListWithCapacity(values.size());
        for (Object value : values) {
            list.add(value.toString());
        }
        return list;
    }

}