Examples with ExecutableTaskBase org.dkpro.lab.task.impl.ExecutableTaskBase used on opensource projects

Example 1 with ExecutableTaskBase

use of org.dkpro.lab.task.impl.ExecutableTaskBase in project dkpro-lab by dkpro.

the class FoldDimensionBundleTest method testFoldInjection.

@Test
public void testFoldInjection() throws Exception {
    File repo = new File("target/repository/" + getClass().getSimpleName() + "/" + name.getMethodName());
    FileUtils.deleteDirectory(repo);
    repo.mkdirs();
    ((FileSystemStorageService) Lab.getInstance().getStorageService()).setStorageRoot(repo);
    Dimension<String> baseData = Dimension.create("base", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10");
    FoldDimensionBundle<String> foldBundle = new FoldDimensionBundle<String>("fold", baseData, 3);
    String expected = "0 - [1, 4, 7, 10] [2, 5, 8, 3, 6, 9]\n" + "1 - [2, 5, 8] [1, 4, 7, 10, 3, 6, 9]\n" + "2 - [3, 6, 9] [1, 4, 7, 10, 2, 5, 8]\n";
    ParameterSpace pSpace = new ParameterSpace(foldBundle);
    final StringBuilder actual = new StringBuilder();
    Task testTask = new ExecutableTaskBase() {

        int n = 0;

        @Discriminator
        Collection<String> fold_validation;

        @Discriminator
        Collection<String> fold_training;

        @Override
        public void execute(TaskContext aContext) throws Exception {
            System.out.printf("%d training  : %s\n", n, fold_training);
            System.out.printf("%d validation: %s\n", n, fold_validation);
            actual.append(String.format("%d - %s %s\n", n, fold_validation, fold_training));
            n++;
        }
    };
    DefaultBatchTask batchTask = new DefaultBatchTask();
    batchTask.setParameterSpace(pSpace);
    batchTask.addTask(testTask);
    Lab.getInstance().run(batchTask);
    assertEquals(3, pSpace.getStepCount());
    assertEquals(expected, actual.toString());
}

Example 2 with ExecutableTaskBase

use of org.dkpro.lab.task.impl.ExecutableTaskBase in project dkpro-lab by dkpro.

the class MultiThreadBatchTaskTest method testUnresolvable.

@Test(expected = UnresolvedImportException.class)
public void testUnresolvable() throws Exception {
    Dimension<String> dim = Dimension.create("param", "1", "2", "3");
    ParameterSpace pSpace = new ParameterSpace(dim);
    Task task1 = new ExecutableTaskBase() {

        @Discriminator
        private String param;

        @Override
        public void execute(TaskContext aContext) throws Exception {
        // Nothing to do
        }
    };
    Task task2 = new ExecutableTaskBase() {

        @Discriminator
        private String param;

        @Override
        public void execute(TaskContext aContext) throws Exception {
        // Nothing to do
        }
    };
    task2.addImport(task1, "DUMMY");
    task1.addImport(task2, "DUMMY");
    DefaultBatchTask batchTask = new DefaultBatchTask();
    batchTask.setParameterSpace(pSpace);
    batchTask.addTask(task1);
    batchTask.addTask(task2);
    Lab.getInstance().run(batchTask);
}

Example 3 with ExecutableTaskBase

use of org.dkpro.lab.task.impl.ExecutableTaskBase in project dkpro-lab by dkpro.

the class MultiThreadTaskPerformanceTest method testRandomWiring.

@Test
public void testRandomWiring() throws Exception {
    Random random = new Random(0);
    List<List<Task>> layersOfTasks = new ArrayList<>();
    int layerSize = 100;
    int layersNumber = 4;
    int importsInEachLayer = 100;
    // create three layers with tasks
    for (int j = 0; j < layersNumber; j++) {
        // add a new layer if needed
        if (layersOfTasks.size() <= j) {
            layersOfTasks.add(new ArrayList<Task>());
        }
        for (int i = 0; i < layerSize; i++) {
            Task t = new DummyTask();
            ((ExecutableTaskBase) t).setType(String.format("%d-%d", j, i));
            layersOfTasks.get(j).add(t);
        }
    }
    // wire tasks in layers
    for (int l = 1; l < layersNumber; l++) {
        for (int j = l - 1; j >= 0; j--) {
            for (int i = 0; i < importsInEachLayer; i++) {
                Task t1 = layersOfTasks.get(l).get(random.nextInt(layerSize));
                Task t2 = layersOfTasks.get(j).get(random.nextInt(layerSize));
                t1.addImport(t2, "DATA");
            }
        }
    }
    // shuffle all tasks
    List<Task> allTasksShuffled = new ArrayList<>();
    for (List<Task> tasks : layersOfTasks) {
        allTasksShuffled.addAll(tasks);
    }
    Collections.shuffle(allTasksShuffled);
    for (Task t : allTasksShuffled) {
        batchTask.addTask(t);
    }
    Lab.getInstance().run(batchTask);
}

Example 4 with ExecutableTaskBase

use of org.dkpro.lab.task.impl.ExecutableTaskBase in project dkpro-lab by dkpro.

the class PosExampleCrf method run.

@Test
public void run() throws Exception {
    // Route logging through log4j
    System.setProperty("org.apache.uima.logger.class", "org.apache.uima.util.impl.Log4jLogger_impl");
    clean();
    Task preprocessingTask = new UimaTaskBase() {

        @Discriminator
        String corpusPath;

        {
            setType("Preprocessing");
        }

        @Override
        public CollectionReaderDescription getCollectionReaderDescription(TaskContext aContext) throws ResourceInitializationException, IOException {
            return createReader(NegraExportReader.class, NegraExportReader.PARAM_SOURCE_LOCATION, corpusPath, NegraExportReader.PARAM_LANGUAGE, "de");
        }

        @Override
        public AnalysisEngineDescription getAnalysisEngineDescription(TaskContext aContext) throws ResourceInitializationException, IOException {
            File xmiDir = aContext.getFolder("XMI", AccessMode.READWRITE);
            return createEngine(createEngine(SnowballStemmer.class), createEngine(XmiWriter.class, XmiWriter.PARAM_TARGET_LOCATION, xmiDir.getAbsolutePath(), XmiWriter.PARAM_COMPRESSION, CompressionMethod.GZIP));
        }
    };
    Task featureExtractionTask = new UimaTaskBase() {

        {
            setType("FeatureExtraction");
        }

        @Override
        public CollectionReaderDescription getCollectionReaderDescription(TaskContext aContext) throws ResourceInitializationException, IOException {
            File xmiDir = aContext.getFolder("XMI", AccessMode.READONLY);
            return createReader(XmiReader.class, XmiReader.PARAM_SOURCE_LOCATION, xmiDir.getAbsolutePath(), XmiReader.PARAM_PATTERNS, new String[] { "[+]**/*.xmi.gz" });
        }

        @Override
        public AnalysisEngineDescription getAnalysisEngineDescription(TaskContext aContext) throws ResourceInitializationException, IOException {
            File modelDir = aContext.getFolder("MODEL", AccessMode.READWRITE);
            return createEngine(createEngineDescription(ExamplePosAnnotator.class, ExamplePosAnnotator.PARAM_DATA_WRITER_FACTORY_CLASS_NAME, DefaultMalletCRFDataWriterFactory.class.getName(), DefaultMalletCRFDataWriterFactory.PARAM_OUTPUT_DIRECTORY, modelDir.getAbsolutePath()));
        }
    };
    Task trainingTask = new ExecutableTaskBase() {

        {
            setType("TrainingTask");
        }

        @Override
        public void execute(TaskContext aContext) throws Exception {
            File dir = aContext.getFolder("MODEL", AccessMode.READWRITE);
            JarClassifierBuilder<?> classifierBuilder = JarClassifierBuilder.fromTrainingDirectory(dir);
            classifierBuilder.trainClassifier(dir, new String[0]);
            classifierBuilder.packageClassifier(dir);
        }
    };
    Task analysisTask = new UimaTaskBase() {

        {
            setType("AnalysisTask");
        }

        @Override
        public CollectionReaderDescription getCollectionReaderDescription(TaskContext aContext) throws ResourceInitializationException, IOException {
            return createReaderDescription(TextReader.class, TextReader.PARAM_SOURCE_LOCATION, "src/test/resources/text", TextReader.PARAM_PATTERNS, new String[] { "[+]**/*.txt" }, TextReader.PARAM_LANGUAGE, "de");
        }

        @Override
        public AnalysisEngineDescription getAnalysisEngineDescription(TaskContext aContext) throws ResourceInitializationException, IOException {
            File model = new File(aContext.getFolder("MODEL", AccessMode.READONLY), "model.jar");
            File tsv = new File(aContext.getFolder("TSV", AccessMode.READWRITE), "output.tsv");
            return createEngine(createEngineDescription(BreakIteratorSegmenter.class), createEngineDescription(SnowballStemmer.class), createEngineDescription(ExamplePosAnnotator.class, GenericJarClassifierFactory.PARAM_CLASSIFIER_JAR_PATH, model.getAbsolutePath()), createEngineDescription(ImsCwbWriter.class, ImsCwbWriter.PARAM_TARGET_LOCATION, tsv));
        }
    };
    ParameterSpace pSpace = new ParameterSpace(Dimension.create("corpusPath", CORPUS_PATH));
    featureExtractionTask.addImport(preprocessingTask, "XMI");
    trainingTask.addImport(featureExtractionTask, "MODEL");
    analysisTask.addImport(trainingTask, "MODEL");
    DefaultBatchTask batch = new DefaultBatchTask();
    batch.setParameterSpace(pSpace);
    batch.setExecutionPolicy(ExecutionPolicy.USE_EXISTING);
    batch.addTask(preprocessingTask);
    batch.addTask(featureExtractionTask);
    batch.addTask(trainingTask);
    batch.addTask(analysisTask);
    Lab.getInstance().run(batch);
}

Example 5 with ExecutableTaskBase

use of org.dkpro.lab.task.impl.ExecutableTaskBase in project dkpro-lab by dkpro.

the class PosExampleMaxEnt method run.

@Test
public void run() throws Exception {
    // Route logging through log4j
    System.setProperty("org.apache.uima.logger.class", "org.apache.uima.util.impl.Log4jLogger_impl");
    clean();
    Task preprocessingTask = new UimaTaskBase() {

        @Discriminator
        String corpusPath;

        {
            setType("Preprocessing");
        }

        @Override
        public CollectionReaderDescription getCollectionReaderDescription(TaskContext aContext) throws ResourceInitializationException, IOException {
            return createReader(NegraExportReader.class, NegraExportReader.PARAM_SOURCE_LOCATION, corpusPath, NegraExportReader.PARAM_LANGUAGE, "de");
        }

        @Override
        public AnalysisEngineDescription getAnalysisEngineDescription(TaskContext aContext) throws ResourceInitializationException, IOException {
            File xmiDir = aContext.getFolder("XMI", AccessMode.READWRITE);
            return createEngine(createEngine(SnowballStemmer.class), createEngine(XmiWriter.class, XmiWriter.PARAM_TARGET_LOCATION, xmiDir.getAbsolutePath(), XmiWriter.PARAM_COMPRESSION, CompressionMethod.GZIP));
        }
    };
    Task featureExtractionTask = new UimaTaskBase() {

        {
            setType("FeatureExtraction");
        }

        @Override
        public CollectionReaderDescription getCollectionReaderDescription(TaskContext aContext) throws ResourceInitializationException, IOException {
            File xmiDir = aContext.getFolder("XMI", AccessMode.READONLY);
            return createReader(XmiReader.class, XmiReader.PARAM_SOURCE_LOCATION, xmiDir.getAbsolutePath(), XmiReader.PARAM_PATTERNS, new String[] { "[+]**/*.xmi.gz" });
        }

        @Override
        public AnalysisEngineDescription getAnalysisEngineDescription(TaskContext aContext) throws ResourceInitializationException, IOException {
            File modelDir = aContext.getFolder("MODEL", AccessMode.READWRITE);
            return createEngine(createEngineDescription(ExamplePosAnnotator.class, ExamplePosAnnotator.PARAM_DATA_WRITER_FACTORY_CLASS_NAME, ViterbiDataWriterFactory.class.getName(), ViterbiDataWriterFactory.PARAM_OUTPUT_DIRECTORY, modelDir.getAbsolutePath(), ViterbiDataWriterFactory.PARAM_DELEGATED_DATA_WRITER_FACTORY_CLASS, DefaultMaxentDataWriterFactory.class.getName()));
        }
    };
    Task trainingTask = new ExecutableTaskBase() {

        @Discriminator
        private int iterations;

        @Discriminator
        private int cutoff;

        {
            setType("TrainingTask");
        }

        @Override
        public void execute(TaskContext aContext) throws Exception {
            File dir = aContext.getFolder("MODEL", AccessMode.READWRITE);
            JarClassifierBuilder<?> classifierBuilder = JarClassifierBuilder.fromTrainingDirectory(dir);
            classifierBuilder.trainClassifier(dir, new String[] { String.valueOf(iterations), String.valueOf(cutoff) });
            classifierBuilder.packageClassifier(dir);
        }
    };
    Task analysisTask = new UimaTaskBase() {

        {
            setType("AnalysisTask");
        }

        @Override
        public CollectionReaderDescription getCollectionReaderDescription(TaskContext aContext) throws ResourceInitializationException, IOException {
            return createReaderDescription(TextReader.class, TextReader.PARAM_SOURCE_LOCATION, "src/test/resources/text/**/*.txt", TextReader.PARAM_LANGUAGE, "de");
        }

        @Override
        public AnalysisEngineDescription getAnalysisEngineDescription(TaskContext aContext) throws ResourceInitializationException, IOException {
            File model = new File(aContext.getFolder("MODEL", AccessMode.READONLY), "model.jar");
            File tsv = new File(aContext.getFolder("TSV", AccessMode.READWRITE), "output.tsv");
            return createEngine(createEngineDescription(BreakIteratorSegmenter.class), createEngineDescription(SnowballStemmer.class), createEngineDescription(ExamplePosAnnotator.class, GenericJarClassifierFactory.PARAM_CLASSIFIER_JAR_PATH, model.getAbsolutePath()), createEngineDescription(ImsCwbWriter.class, ImsCwbWriter.PARAM_TARGET_LOCATION, tsv));
        }
    };
    ParameterSpace pSpace = new ParameterSpace(Dimension.create("corpusPath", CORPUS_PATH), Dimension.create("iterations", 20, 50, 100), Dimension.create("cutoff", 5));
    featureExtractionTask.addImport(preprocessingTask, "XMI");
    trainingTask.addImport(featureExtractionTask, "MODEL");
    analysisTask.addImport(trainingTask, "MODEL");
    DefaultBatchTask batch = new DefaultBatchTask();
    batch.setParameterSpace(pSpace);
    batch.setExecutionPolicy(ExecutionPolicy.USE_EXISTING);
    batch.addTask(preprocessingTask);
    batch.addTask(featureExtractionTask);
    batch.addTask(trainingTask);
    batch.addTask(analysisTask);
    Lab.getInstance().run(batch);
}