Examples with ClassifyInput com.ibm.watson.natural_language_classifier.v1.model.ClassifyInput used on opensource projects

Example 1 with ClassifyInput

use of com.ibm.watson.natural_language_classifier.v1.model.ClassifyInput in project java-sdk by watson-developer-cloud.

the class NaturalLanguageClassifierIT method fClassifyCollection.

/**
 * Test classifyCollection. Use the pre created classifier to avoid waiting for availability
 */
@Test
public void fClassifyCollection() {
    ClassificationCollection classificationCollection = null;
    ClassifyInput input1 = new ClassifyInput();
    input1.setText("How hot will it be today?");
    ClassifyInput input2 = new ClassifyInput();
    input2.setText("Is it hot outside?");
    try {
        ClassifyCollectionOptions classifyOptions = new ClassifyCollectionOptions.Builder().classifierId(preCreatedClassifierId).addClassifyInput(input1).addClassifyInput(input2).build();
        classificationCollection = service.classifyCollection(classifyOptions).execute();
    } catch (NotFoundException e) {
        // The build should not fail here, because this is out of our control.
        throw new AssumptionViolatedException(e.getMessage(), e);
    }
    assertNotNull(classificationCollection);
    assertEquals("temperature", classificationCollection.getCollection().get(0).getTopClass());
    assertEquals("temperature", classificationCollection.getCollection().get(1).getTopClass());
}

Example 2 with ClassifyInput

use of com.ibm.watson.natural_language_classifier.v1.model.ClassifyInput in project java-sdk by watson-developer-cloud.

the class NaturalLanguageClassifierTest method testClassifyCollectionWOptions.

@Test
public void testClassifyCollectionWOptions() throws Throwable {
    // Schedule some responses.
    String mockResponseBody = "{\"classifier_id\": \"classifierId\", \"url\": \"url\", \"collection\": [{\"text\": \"text\", \"top_class\": \"topClass\", \"classes\": [{\"confidence\": 10, \"class_name\": \"className\"}]}]}";
    String classifyCollectionPath = "/v1/classifiers/testString/classify_collection";
    server.enqueue(new MockResponse().setHeader("Content-type", "application/json").setResponseCode(200).setBody(mockResponseBody));
    constructClientService();
    // Construct an instance of the ClassifyInput model
    ClassifyInput classifyInputModel = new ClassifyInput.Builder().text("How hot will it be today?").build();
    // Construct an instance of the ClassifyCollectionOptions model
    ClassifyCollectionOptions classifyCollectionOptionsModel = new ClassifyCollectionOptions.Builder().classifierId("testString").collection(new java.util.ArrayList<ClassifyInput>(java.util.Arrays.asList(classifyInputModel))).build();
    // Invoke operation with valid options model (positive test)
    Response<ClassificationCollection> response = naturalLanguageClassifierService.classifyCollection(classifyCollectionOptionsModel).execute();
    assertNotNull(response);
    ClassificationCollection responseObj = response.getResult();
    assertNotNull(responseObj);
    // Verify the contents of the request
    RecordedRequest request = server.takeRequest();
    assertNotNull(request);
    assertEquals(request.getMethod(), "POST");
    // Check query
    Map<String, String> query = TestUtilities.parseQueryString(request);
    assertNull(query);
    // Check request path
    String parsedPath = TestUtilities.parseReqPath(request);
    assertEquals(parsedPath, classifyCollectionPath);
}

Example 3 with ClassifyInput

use of com.ibm.watson.natural_language_classifier.v1.model.ClassifyInput in project java-sdk by watson-developer-cloud.

the class NaturalLanguageClassifierTest method testClassifyCollection.

/**
 * Test classifying a collection.
 *
 * @throws InterruptedException the interrupted exception
 */
@Test
public void testClassifyCollection() throws InterruptedException {
    final String path = String.format(CLASSIFY_COLLECTION_PATH, classifierId);
    server.enqueue(jsonResponse(classificationCollection));
    ClassifyInput input1 = new ClassifyInput();
    input1.setText("How hot will it be today?");
    ClassifyInput input2 = new ClassifyInput();
    input2.setText("Is it hot outside?");
    List<ClassifyInput> inputCollection = Arrays.asList(input1, input2);
    ClassifyCollectionOptions classifyOptions = new ClassifyCollectionOptions.Builder().classifierId(classifierId).collection(inputCollection).build();
    final ClassificationCollection result = service.classifyCollection(classifyOptions).execute();
    final RecordedRequest request = server.takeRequest();
    assertEquals(path, request.getPath());
    assertEquals("POST", request.getMethod());
    assertEquals(classificationCollection, result);
}

Example 4 with ClassifyInput

use of com.ibm.watson.natural_language_classifier.v1.model.ClassifyInput in project java-sdk by watson-developer-cloud.

the class NaturalLanguageClassifierIT method fClassifyCollection.

/**
 * Test classifyCollection. Use the pre created classifier to avoid waiting for availability
 */
@Test
public void fClassifyCollection() {
    ClassificationCollection classificationCollection = null;
    ClassifyInput input1 = new ClassifyInput.Builder().text("How hot will it be today?").build();
    ClassifyInput input2 = new ClassifyInput.Builder().text("Is it hot outside?").build();
    try {
        ClassifyCollectionOptions classifyOptions = new ClassifyCollectionOptions.Builder().classifierId(preCreatedClassifierId).addClassifyInput(input1).addClassifyInput(input2).build();
        classificationCollection = service.classifyCollection(classifyOptions).execute().getResult();
    } catch (NotFoundException e) {
        // The build should not fail here, because this is out of our control.
        throw new AssumptionViolatedException(e.getMessage(), e);
    }
    assertNotNull(classificationCollection);
    assertEquals("temperature", classificationCollection.getCollection().get(0).getTopClass());
    assertEquals("temperature", classificationCollection.getCollection().get(1).getTopClass());
}