Example usage for org.apache.commons.cli ParseException ParseException

List of usage examples for org.apache.commons.cli ParseException ParseException

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Introduction

In this page you can find the example usage for org.apache.commons.cli ParseException ParseException.

Prototype

public ParseException(String message)

Source Link

Document

Construct a new ParseException with the specified detail message.

Usage

From source file:de.fischer.thotti.core.runner.TargetURLGenerator.java

public static final void main(String[] args) {
    String accessKey = null;/*from  ww w. ja  va 2 s .  c om*/
    String secretKey = null;

    Options options = createCommandLineOption();

    CommandLineParser parser = new GnuParser();
    try {
        // parse the command line arguments
        CommandLine line = parser.parse(options, args);

        if (!line.hasOption("ak")) {
            throw new ParseException("AWS Accress Key is missing.");
        }

        if (!line.hasOption("sk")) {
            throw new ParseException("AWS Secret Key is missing.");
        }

        accessKey = line.getOptionValue("ak");
        secretKey = line.getOptionValue("sk");

    } catch (ParseException exp) {
        System.err.println("Parsing failed.  Reason: " + exp.getMessage());
        System.exit(1);
    }

    TargetURLGenerator generator = new TargetURLGenerator();

    generator.setAccessKey(accessKey);
    generator.setSecretKey(secretKey);

    generator.run();
}

From source file:com.etsy.arbiter.Arbiter.java

public static void main(String[] args) throws ParseException, ConfigurationException, IOException,
        ParserConfigurationException, TransformerException {
    Options options = getOptions();//from   w  w  w. j av a 2 s  .c  o  m

    CommandLineParser cmd = new GnuParser();
    CommandLine parsed = cmd.parse(options, args);

    if (parsed.hasOption("h")) {
        printUsage(options);
    }

    if (!parsed.hasOption("i")) {
        throw new ParseException("Missing required argument: i");
    }

    if (!parsed.hasOption("o")) {
        throw new ParseException("Missing required argument: o");
    }

    String[] configFiles = parsed.getOptionValues("c");
    String[] lowPrecedenceConfigFiles = parsed.getOptionValues("l");

    String[] inputFiles = parsed.getOptionValues("i");
    String outputDir = parsed.getOptionValue("o");

    List<Config> parsedConfigFiles = readConfigFiles(configFiles, false);
    parsedConfigFiles.addAll(readConfigFiles(lowPrecedenceConfigFiles, true));
    Config merged = ConfigurationMerger.mergeConfiguration(parsedConfigFiles);

    List<Workflow> workflows = readWorkflowFiles(inputFiles);

    boolean generateGraphviz = parsed.hasOption("g");
    String graphvizFormat = parsed.getOptionValue("g", "svg");

    OozieWorkflowGenerator generator = new OozieWorkflowGenerator(merged);
    generator.generateOozieWorkflows(outputDir, workflows, generateGraphviz, graphvizFormat);
}

From source file:com.redhat.akashche.keystoregen.Launcher.java

public static void main(String[] args) throws Exception {
    try {//  w w  w .  ja  va 2 s . co m
        CommandLine cline = new GnuParser().parse(OPTIONS, args);
        if (cline.hasOption(VERSION_OPTION)) {
            out.println(VERSION);
        } else if (cline.hasOption(HELP_OPTION)) {
            throw new ParseException("Printing help page:");
        } else if (0 == cline.getArgs().length && cline.hasOption(CONFIG_OPTION)
                && cline.hasOption(OUTPUT_OPTION)) {
            KeystoreConfig conf = parseConf(cline.getOptionValue(CONFIG_OPTION));
            KeyStore ks = new KeystoreGenerator().generate(conf);
            writeKeystore(conf, ks, cline.getOptionValue(OUTPUT_OPTION));
        } else {
            throw new ParseException("Incorrect arguments received!");
        }
    } catch (ParseException e) {
        HelpFormatter formatter = new HelpFormatter();
        out.println(e.getMessage());
        out.println(VERSION);
        formatter.printHelp("java -jar keystoregen.jar -c config.json -o output.p12", OPTIONS);
    }
}

From source file:com.trovit.hdfstree.HdfsTree.java

public static void main(String... args) {
    Options options = new Options();
    options.addOption("l", false, "Use local filesystem.");
    options.addOption("p", true, "Path used as root for the tree.");
    options.addOption("s", false, "Display the size of the directory");
    options.addOption("d", true, "Maximum depth of the tree (when displaying)");

    CommandLineParser parser = new PosixParser();

    TreeBuilder treeBuilder;// ww w  . j  a v  a 2s . c  o m
    FSInspector fsInspector = null;
    String rootPath = null;

    Displayer displayer = new ConsoleDisplayer();

    try {
        CommandLine cmd = parser.parse(options, args);

        // local or hdfs.
        if (cmd.hasOption("l")) {
            fsInspector = new LocalFSInspector();
        } else {
            fsInspector = new HDFSInspector();
        }

        // check that it has the root path.
        if (cmd.hasOption("p")) {
            rootPath = cmd.getOptionValue("p");
        } else {
            throw new ParseException("Mandatory option (-p) is not specified.");
        }

        if (cmd.hasOption("d")) {
            displayer.setMaxDepth(Integer.parseInt(cmd.getOptionValue("d")));
        }

        if (cmd.hasOption("s")) {
            displayer.setDisplaySize();
        }
    } catch (ParseException e) {
        System.out.println(e.getMessage());
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp("hdfstree", options);
        System.exit(1);
    }

    treeBuilder = new TreeBuilder(rootPath, fsInspector);
    TreeNode tree = treeBuilder.buildTree();
    displayer.display(tree);

}

From source file:io.proscript.jlight.JLight.java

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

    CommandLineParser parser = new DefaultParser();
    Options options = new Options();

    Option host = new Option("h", "host", true, "Host of the HTTP server (default 127.0.0.1)");
    Option port = new Option("p", "port", true, "Port of the HTTP server (default 9000)");

    Option main = new Option("c", "class", true, "Application to run, e.g. org.vendor.class");
    Option help = new Option("h", "help", false, "Display help and exit");
    Option version = new Option("v", "version", false, "Display JLight version");

    options.addOption(host);//from  ww  w.ja  va 2  s. co m
    options.addOption(port);

    options.addOption(main);
    options.addOption(help);
    options.addOption(version);

    CommandLine line;

    try {
        line = parser.parse(options, args);

        if (line.hasOption("h")) {
            HelpFormatter formatter = new HelpFormatter();
            Version.print();
            formatter.printHelp("jlight", options);
            return;
        }

        if (line.hasOption("v")) {
            Version.print();
            return;
        }

        if (!line.hasOption("c")) {
            throw new ParseException("Option 'class' is required");
        }

        Runtime.run(line);
    } catch (ParseException exp) {
        System.err.println(exp.getMessage());
    }
}

From source file:com.github.jasmo.Bootstrap.java

public static void main(String[] args) {
    Options options = new Options().addOption("h", "help", false, "Print help message")
            .addOption("v", "verbose", false, "Increase verbosity")
            .addOption("c", "cfn", true,
                    "Enable 'crazy fucking names and set name length (large names == large output size)'")
            .addOption("p", "package", true, "Move obfuscated classes to this package")
            .addOption("k", "keep", true, "Don't rename this class");
    try {//from   w w w . j a v a  2s .c  o m
        CommandLineParser clp = new DefaultParser();
        CommandLine cl = clp.parse(options, args);
        if (cl.hasOption("help")) {
            help(options);
            return;
        }
        if (cl.hasOption("verbose")) {
            LoggerContext ctx = (LoggerContext) LogManager.getContext(false);
            Configuration config = ctx.getConfiguration();
            LoggerConfig loggerConfig = config.getLoggerConfig(LogManager.ROOT_LOGGER_NAME);
            loggerConfig.setLevel(Level.DEBUG);
            ctx.updateLoggers();
        }
        String[] keep = cl.getOptionValues("keep");
        if (cl.getArgList().size() < 2) {
            throw new ParseException("Expected at-least two arguments");
        }
        log.debug("Input: {}, Output: {}", cl.getArgList().get(0), cl.getArgList().get(1));
        Obfuscator o = new Obfuscator();
        try {
            o.supply(Paths.get(cl.getArgList().get(0)));
        } catch (Exception e) {
            log.error("An error occurred while reading the source target", e);
            return;
        }
        try {
            UniqueStringGenerator usg;
            if (cl.hasOption("cfn")) {
                int size = Integer.parseInt(cl.getOptionValue("cfn"));
                usg = new UniqueStringGenerator.Crazy(size);
            } else {
                usg = new UniqueStringGenerator.Default();
            }
            o.apply(new FullAccessFlags());
            o.apply(new ScrambleStrings());
            o.apply(new ScrambleClasses(usg, cl.getOptionValue("package", ""),
                    keep == null ? new String[0] : keep));
            o.apply(new ScrambleFields(usg));
            o.apply(new ScrambleMethods(usg));
            o.apply(new InlineAccessors());
            o.apply(new RemoveDebugInfo());
            o.apply(new ShuffleMembers());
        } catch (Exception e) {
            log.error("An error occurred while applying transform", e);
            return;
        }
        try {
            o.write(Paths.get(cl.getArgList().get(1)));
        } catch (Exception e) {
            log.error("An error occurred while writing to the destination target", e);
            return;
        }
    } catch (ParseException e) {
        log.error("Failed to parse command line arguments", e);
        help(options);
    }
}

From source file:it.tizianofagni.sparkboost.BoostClassifierExe.java

public static void main(String[] args) {

    Options options = new Options();
    options.addOption("b", "binaryProblem", false,
            "Indicate if the input dataset contains a binary problem and not a multilabel one");
    options.addOption("z", "labels0based", false,
            "Indicate if the labels IDs in the dataset to classifyLibSvmWithResults are already assigned in the range [0, numLabels-1] included");
    options.addOption("l", "enableSparkLogging", false, "Enable logging messages of Spark");
    options.addOption("w", "windowsLocalModeFix", true,
            "Set the directory containing the winutils.exe command");
    options.addOption("p", "parallelismDegree", true,
            "Set the parallelism degree (default: number of available cores in the Spark runtime");

    CommandLineParser parser = new BasicParser();
    CommandLine cmd = null;//from w  ww  .ja  v a2s. co m
    String[] remainingArgs = null;
    try {
        cmd = parser.parse(options, args);
        remainingArgs = cmd.getArgs();
        if (remainingArgs.length != 3)
            throw new ParseException("You need to specify all mandatory parameters");
    } catch (ParseException e) {
        System.out.println("Parsing failed.  Reason: " + e.getMessage());
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(
                BoostClassifierExe.class.getSimpleName() + " [OPTIONS] <inputFile> <inputModel> <outputFile>",
                options);
        System.exit(-1);
    }

    boolean binaryProblem = false;
    if (cmd.hasOption("b"))
        binaryProblem = true;
    boolean labels0Based = false;
    if (cmd.hasOption("z"))
        labels0Based = true;
    boolean enablingSparkLogging = false;
    if (cmd.hasOption("l"))
        enablingSparkLogging = true;

    if (cmd.hasOption("w")) {
        System.setProperty("hadoop.home.dir", cmd.getOptionValue("w"));
    }

    String inputFile = remainingArgs[0];
    String inputModel = remainingArgs[1];
    String outputFile = remainingArgs[2];

    long startTime = System.currentTimeMillis();

    // Disable Spark logging.
    if (!enablingSparkLogging) {
        Logger.getLogger("org").setLevel(Level.OFF);
        Logger.getLogger("akka").setLevel(Level.OFF);
    }

    // Create and configure Spark context.
    SparkConf conf = new SparkConf().setAppName("Spark MPBoost classifier");
    JavaSparkContext sc = new JavaSparkContext(conf);

    // Load boosting classifier from disk.
    BoostClassifier classifier = DataUtils.loadModel(sc, inputModel);

    // Get the parallelism degree.
    int parallelismDegree = sc.defaultParallelism();
    if (cmd.hasOption("p")) {
        parallelismDegree = Integer.parseInt(cmd.getOptionValue("p"));
    }

    // Classify documents available on specified input file.
    classifier.classifyLibSvm(sc, inputFile, parallelismDegree, labels0Based, binaryProblem, outputFile);
    long endTime = System.currentTimeMillis();
    System.out.println("Execution time: " + (endTime - startTime) + " milliseconds.");
}

From source file:net.forkwait.imageautomator.ImageAutomator.java

public static void main(String[] args) throws IOException {
    String inputImage = "";

    Options options = new Options();
    options.addOption("o", true, "output file name (e.g. thumb.jpg), default thumbnail.filename.ext");
    options.addOption("q", true, "jpeg quality (e.g. 0.9, max 1.0), default 0.97");
    options.addOption("s", true, "output max side length in px (e.g. 800), default 1200");
    options.addOption("w", true, "watermark image file");
    options.addOption("wt", true, "watermark transparency (e.g. 0.5, max 1.0), default 1.0");
    options.addOption("wp", true, "watermark position (e.g. 0.9, max 1.0), default BOTTOM_RIGHT");

    /*/* ww w .  j a va 2s  .  c  o m*/
    TOP_LEFT
    TOP_CENTER
    TOP_RIGHT
    CENTER_LEFT
    CENTER
    CENTER_RIGHT
    BOTTOM_LEFT
    BOTTOM_CENTER
    BOTTOM_RIGHT
     */

    CommandLineParser parser = new BasicParser();
    CommandLine cmd = null;
    try {
        cmd = parser.parse(options, args);
        if (cmd.getArgs().length < 1) {
            throw new ParseException("Too few arguments");
        } else if (cmd.getArgs().length > 1) {
            throw new ParseException("Too many arguments");
        }
        inputImage = cmd.getArgs()[0];
    } catch (ParseException e) {
        showHelp(options, e.getLocalizedMessage());
        System.exit(-1);
    }

    Thumbnails.Builder<File> st = Thumbnails.of(inputImage);

    if (cmd.hasOption("q")) {
        st.outputQuality(Double.parseDouble(cmd.getOptionValue("q")));
    } else {
        st.outputQuality(0.97f);
    }

    if (cmd.hasOption("s")) {
        st.size(Integer.parseInt(cmd.getOptionValue("s")), Integer.parseInt(cmd.getOptionValue("s")));
    } else {
        st.size(1200, 1200);
    }
    if (cmd.hasOption("w")) {
        Positions position = Positions.BOTTOM_RIGHT;
        float trans = 0.5f;
        if (cmd.hasOption("wp")) {
            position = Positions.valueOf(cmd.getOptionValue("wp"));
        }
        if (cmd.hasOption("wt")) {
            trans = Float.parseFloat(cmd.getOptionValue("wt"));
        }

        st.watermark(position, ImageIO.read(new File(cmd.getOptionValue("w"))), trans);
    }
    if (cmd.hasOption("o")) {
        st.toFile(new File(cmd.getOptionValue("o")));
    } else {
        st.toFiles(Rename.PREFIX_DOT_THUMBNAIL);
    }

    //.outputFormat("jpg")
    System.exit(0);
}

From source file:it.tizianofagni.sparkboost.MPBoostLearnerExe.java

public static void main(String[] args) {
    Options options = new Options();
    options.addOption("b", "binaryProblem", false,
            "Indicate if the input dataset contains a binary problem and not a multilabel one");
    options.addOption("z", "labels0based", false,
            "Indicate if the labels IDs in the dataset to classifyLibSvmWithResults are already assigned in the range [0, numLabels-1] included");
    options.addOption("l", "enableSparkLogging", false, "Enable logging messages of Spark");
    options.addOption("w", "windowsLocalModeFix", true,
            "Set the directory containing the winutils.exe command");
    options.addOption("dp", "documentPartitions", true, "The number of document partitions");
    options.addOption("fp", "featurePartitions", true, "The number of feature partitions");
    options.addOption("lp", "labelPartitions", true, "The number of label partitions");

    CommandLineParser parser = new BasicParser();
    CommandLine cmd = null;//from w w w.  jav a 2s. co m
    String[] remainingArgs = null;
    try {
        cmd = parser.parse(options, args);
        remainingArgs = cmd.getArgs();
        if (remainingArgs.length != 3)
            throw new ParseException("You need to specify all mandatory parameters");
    } catch (ParseException e) {
        System.out.println("Parsing failed.  Reason: " + e.getMessage());
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(
                MPBoostLearnerExe.class.getSimpleName() + " [OPTIONS] <inputFile> <outputFile> <numIterations>",
                options);
        System.exit(-1);
    }

    boolean binaryProblem = false;
    if (cmd.hasOption("b"))
        binaryProblem = true;
    boolean labels0Based = false;
    if (cmd.hasOption("z"))
        labels0Based = true;
    boolean enablingSparkLogging = false;
    if (cmd.hasOption("l"))
        enablingSparkLogging = true;

    if (cmd.hasOption("w")) {
        System.setProperty("hadoop.home.dir", cmd.getOptionValue("w"));
    }

    String inputFile = remainingArgs[0];
    String outputFile = remainingArgs[1];
    int numIterations = Integer.parseInt(remainingArgs[2]);

    long startTime = System.currentTimeMillis();

    // Disable Spark logging.
    if (!enablingSparkLogging) {
        Logger.getLogger("org").setLevel(Level.OFF);
        Logger.getLogger("akka").setLevel(Level.OFF);
    }

    // Create and configure Spark context.
    SparkConf conf = new SparkConf().setAppName("Spark MPBoost learner");
    JavaSparkContext sc = new JavaSparkContext(conf);

    // Create and configure learner.
    MpBoostLearner learner = new MpBoostLearner(sc);
    learner.setNumIterations(numIterations);

    if (cmd.hasOption("dp")) {
        learner.setNumDocumentsPartitions(Integer.parseInt(cmd.getOptionValue("dp")));
    }
    if (cmd.hasOption("fp")) {
        learner.setNumFeaturesPartitions(Integer.parseInt(cmd.getOptionValue("fp")));
    }
    if (cmd.hasOption("lp")) {
        learner.setNumLabelsPartitions(Integer.parseInt(cmd.getOptionValue("lp")));
    }

    // Build classifier with MPBoost learner.
    BoostClassifier classifier = learner.buildModel(inputFile, labels0Based, binaryProblem);

    // Save classifier to disk.
    DataUtils.saveModel(sc, classifier, outputFile);

    long endTime = System.currentTimeMillis();
    System.out.println("Execution time: " + (endTime - startTime) + " milliseconds.");
}

From source file:it.tizianofagni.sparkboost.AdaBoostMHLearnerExe.java

public static void main(String[] args) {
    Options options = new Options();
    options.addOption("b", "binaryProblem", false,
            "Indicate if the input dataset contains a binary problem and not a multilabel one");
    options.addOption("z", "labels0based", false,
            "Indicate if the labels IDs in the dataset to classifyLibSvmWithResults are already assigned in the range [0, numLabels-1] included");
    options.addOption("l", "enableSparkLogging", false, "Enable logging messages of Spark");
    options.addOption("w", "windowsLocalModeFix", true,
            "Set the directory containing the winutils.exe command");
    options.addOption("dp", "documentPartitions", true, "The number of document partitions");
    options.addOption("fp", "featurePartitions", true, "The number of feature partitions");
    options.addOption("lp", "labelPartitions", true, "The number of label partitions");

    CommandLineParser parser = new BasicParser();
    CommandLine cmd = null;/*from w  w w.jav  a 2  s  .  co  m*/
    String[] remainingArgs = null;
    try {
        cmd = parser.parse(options, args);
        remainingArgs = cmd.getArgs();
        if (remainingArgs.length != 5)
            throw new ParseException("You need to specify all mandatory parameters");
    } catch (ParseException e) {
        System.out.println("Parsing failed.  Reason: " + e.getMessage());
        HelpFormatter formatter = new HelpFormatter();
        formatter.printHelp(AdaBoostMHLearnerExe.class.getSimpleName()
                + " [OPTIONS] <inputFile> <outputFile> <numIterations> <sparkMaster> <parallelismDegree>",
                options);
        System.exit(-1);
    }

    boolean binaryProblem = false;
    if (cmd.hasOption("b"))
        binaryProblem = true;
    boolean labels0Based = false;
    if (cmd.hasOption("z"))
        labels0Based = true;
    boolean enablingSparkLogging = false;
    if (cmd.hasOption("l"))
        enablingSparkLogging = true;

    if (cmd.hasOption("w")) {
        System.setProperty("hadoop.home.dir", cmd.getOptionValue("w"));
    }

    String inputFile = remainingArgs[0];
    String outputFile = remainingArgs[1];
    int numIterations = Integer.parseInt(remainingArgs[2]);
    String sparkMaster = remainingArgs[3];
    int parallelismDegree = Integer.parseInt(remainingArgs[4]);

    long startTime = System.currentTimeMillis();

    // Disable Spark logging.
    if (!enablingSparkLogging) {
        Logger.getLogger("org").setLevel(Level.OFF);
        Logger.getLogger("akka").setLevel(Level.OFF);
    }

    // Create and configure Spark context.
    SparkConf conf = new SparkConf().setAppName("Spark AdaBoost.MH learner");
    JavaSparkContext sc = new JavaSparkContext(conf);

    // Create and configure learner.
    AdaBoostMHLearner learner = new AdaBoostMHLearner(sc);
    learner.setNumIterations(numIterations);

    if (cmd.hasOption("dp")) {
        learner.setNumDocumentsPartitions(Integer.parseInt(cmd.getOptionValue("dp")));
    }
    if (cmd.hasOption("fp")) {
        learner.setNumFeaturesPartitions(Integer.parseInt(cmd.getOptionValue("fp")));
    }
    if (cmd.hasOption("lp")) {
        learner.setNumLabelsPartitions(Integer.parseInt(cmd.getOptionValue("lp")));
    }

    // Build classifier with MPBoost learner.
    BoostClassifier classifier = learner.buildModel(inputFile, labels0Based, binaryProblem);

    // Save classifier to disk.
    DataUtils.saveModel(sc, classifier, outputFile);

    long endTime = System.currentTimeMillis();
    System.out.println("Execution time: " + (endTime - startTime) + " milliseconds.");
}