use of com.ibm.watson.visual_recognition.v3.model.ListClassifiersOptions in project java-sdk by watson-developer-cloud.
the class NaturalLanguageClassifierIT method cListClassifiers.
/**
* Test list classifiers.
*/
@Test
public void cListClassifiers() {
ListClassifiersOptions listOptions = new ListClassifiersOptions.Builder().build();
final ClassifierList classifiers = service.listClassifiers(listOptions).execute();
assertNotNull(classifiers);
// #324: Classifiers may be empty, because of other tests interfering.
// The build should not fail here, because this is out of our control.
Assume.assumeFalse(classifiers.getClassifiers().isEmpty());
}
use of com.ibm.watson.visual_recognition.v3.model.ListClassifiersOptions in project java-sdk by watson-developer-cloud.
the class NaturalLanguageClassifierTest method testListClassifiersWOptions.
@Test
public void testListClassifiersWOptions() throws Throwable {
// Schedule some responses.
String mockResponseBody = "{\"classifiers\": [{\"name\": \"name\", \"url\": \"url\", \"status\": \"Non Existent\", \"classifier_id\": \"classifierId\", \"created\": \"2019-01-01T12:00:00.000Z\", \"status_description\": \"statusDescription\", \"language\": \"language\"}]}";
String listClassifiersPath = "/v1/classifiers";
server.enqueue(new MockResponse().setHeader("Content-type", "application/json").setResponseCode(200).setBody(mockResponseBody));
constructClientService();
// Construct an instance of the ListClassifiersOptions model
ListClassifiersOptions listClassifiersOptionsModel = new ListClassifiersOptions();
// Invoke operation with valid options model (positive test)
Response<ClassifierList> response = naturalLanguageClassifierService.listClassifiers(listClassifiersOptionsModel).execute();
assertNotNull(response);
ClassifierList responseObj = response.getResult();
assertNotNull(responseObj);
// Verify the contents of the request
RecordedRequest request = server.takeRequest();
assertNotNull(request);
assertEquals(request.getMethod(), "GET");
// Check query
Map<String, String> query = TestUtilities.parseQueryString(request);
assertNull(query);
// Check request path
String parsedPath = TestUtilities.parseReqPath(request);
assertEquals(parsedPath, listClassifiersPath);
}
use of com.ibm.watson.visual_recognition.v3.model.ListClassifiersOptions in project java-sdk by watson-developer-cloud.
the class NaturalLanguageClassifierIT method cListClassifiers.
/**
* Test list classifiers.
*/
@Test
public void cListClassifiers() {
ListClassifiersOptions listOptions = new ListClassifiersOptions();
final ClassifierList classifiers = service.listClassifiers(listOptions).execute().getResult();
assertNotNull(classifiers);
// #324: Classifiers may be empty, because of other tests interfering.
// The build should not fail here, because this is out of our control.
Assume.assumeFalse(classifiers.getClassifiers().isEmpty());
}
use of com.ibm.watson.visual_recognition.v3.model.ListClassifiersOptions in project java-sdk by watson-developer-cloud.
the class VisualRecognitionIT method testGetCoreMlModel.
/**
* Test getting the Core ML file for a classifier.
*/
@Ignore
@Test
public void testGetCoreMlModel() {
ListClassifiersOptions options = new ListClassifiersOptions.Builder().verbose(true).build();
List<Classifier> classifiers = service.listClassifiers(options).execute().getResult().getClassifiers();
for (Classifier classifier : classifiers) {
if (classifier.isCoreMlEnabled()) {
GetCoreMlModelOptions getCoreMlModelOptions = new GetCoreMlModelOptions.Builder().classifierId(classifier.getClassifierId()).build();
InputStream coreMlFile = service.getCoreMlModel(getCoreMlModelOptions).execute().getResult();
assertNotNull(coreMlFile);
break;
}
}
}
use of com.ibm.watson.visual_recognition.v3.model.ListClassifiersOptions in project java-sdk by watson-developer-cloud.
the class VisualRecognitionIT method testGetCoreMlModel.
/**
* Test getting the Core ML file for a classifier.
*/
@Ignore
@Test
public void testGetCoreMlModel() {
ListClassifiersOptions options = new ListClassifiersOptions.Builder().verbose(true).build();
List<Classifier> classifiers = service.listClassifiers(options).execute().getClassifiers();
for (Classifier classifier : classifiers) {
if (classifier.isCoreMlEnabled()) {
GetCoreMlModelOptions getCoreMlModelOptions = new GetCoreMlModelOptions.Builder().classifierId(classifier.getClassifierId()).build();
InputStream coreMlFile = service.getCoreMlModel(getCoreMlModelOptions).execute();
assertNotNull(coreMlFile);
break;
}
}
}
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