use of com.walmartlabs.concord.runtime.v2.model.Location in project google-cloud-intellij by GoogleCloudPlatform.
the class AppEngineLocationSelectorItemTest method setup.
@Before
public void setup() {
location = new Location();
location.setMetadata(new HashMap<>());
}
use of com.walmartlabs.concord.runtime.v2.model.Location in project java-sdk by watson-developer-cloud.
the class CompareComplyServiceIT method testFeedbackOperations.
@Test
public void testFeedbackOperations() {
String userId = "lp_java";
String comment = "could be better";
String text = "1. IBM will provide a Senior Managing Consultant / expert resource, for up to 80 hours, to assist " + "Florida Power & Light (FPL) with the creation of an IT infrastructure unit cost model for existing " + "infrastructure.";
ShortDoc shortDoc = new ShortDoc.Builder().title("doc title").hash("").build();
Location location = new Location.Builder().begin(241).end(237).build();
OriginalLabelsIn.Builder originalLabelsInBuilder = new OriginalLabelsIn.Builder();
Label label1 = new Label.Builder().nature("Obligation").party("IBM").build();
List<String> ids1 = Arrays.asList("85f5981a-ba91-44f5-9efa-0bd22e64b7bc", "ce0480a1-5ef1-4c3e-9861-3743b5610795");
TypeLabel typeLabel1 = new TypeLabel.Builder().label(label1).provenanceIds(ids1).build();
Label label2 = new Label.Builder().nature("End User").party("Exclusion").build();
List<String> ids2 = Arrays.asList("85f5981a-ba91-44f5-9efa-0bd22e64b7bc", "ce0480a1-5ef1-4c3e-9861-3743b5610795");
TypeLabel typeLabel2 = new TypeLabel.Builder().label(label2).provenanceIds(ids2).build();
List<TypeLabel> types = Arrays.asList(typeLabel1, typeLabel2);
originalLabelsInBuilder.types(types);
Category category1 = new Category.Builder().label(Category.Label.RESPONSIBILITIES).provenanceIds(new ArrayList<String>()).build();
Category category2 = new Category.Builder().label(Category.Label.AMENDMENTS).provenanceIds(new ArrayList<String>()).build();
originalLabelsInBuilder.categories(Arrays.asList(category1, category2));
UpdatedLabelsIn.Builder updatedLabelsInBuilder = new UpdatedLabelsIn.Builder();
Label label3 = new Label.Builder().nature("Disclaimer").party("buyer").build();
TypeLabel typeLabel3 = new TypeLabel.Builder().label(label3).build();
updatedLabelsInBuilder.types(Arrays.asList(typeLabel1, typeLabel3));
updatedLabelsInBuilder.categories(Arrays.asList(category1, category2));
FeedbackDataInput feedbackDataInput = new FeedbackDataInput.Builder().document(shortDoc).location(location).text(text).originalLabels(originalLabelsInBuilder.build()).updatedLabels(updatedLabelsInBuilder.build()).feedbackType("element_classification").modelId("contracts").modelVersion("11.00").build();
AddFeedbackOptions addFeedbackOptions = new AddFeedbackOptions.Builder().userId(userId).comment(comment).feedbackData(feedbackDataInput).build();
FeedbackReturn feedbackReturn = service.addFeedback(addFeedbackOptions).execute().getResult();
String feedbackId = feedbackReturn.getFeedbackId();
GetFeedbackOptions getFeedbackOptions = new GetFeedbackOptions.Builder().feedbackId(feedbackId).build();
GetFeedback getFeedback = service.getFeedback(getFeedbackOptions).addHeader("x-watson-metadata", "customer_id=sdk-test-customer-id").execute().getResult();
assertEquals(text, getFeedback.getFeedbackData().getText());
DeleteFeedbackOptions deleteFeedbackOptions = new DeleteFeedbackOptions.Builder().feedbackId(feedbackId).build();
service.deleteFeedback(deleteFeedbackOptions).execute();
FeedbackList feedbackList = service.listFeedback().execute().getResult();
List<GetFeedback> allFeedback = feedbackList.getFeedback();
boolean successfullyDeleted = true;
for (GetFeedback feedback : allFeedback) {
if (feedback.getFeedbackId().equals(feedbackId)) {
successfullyDeleted = false;
break;
}
}
assertTrue(successfullyDeleted);
}
use of com.walmartlabs.concord.runtime.v2.model.Location in project java-sdk by watson-developer-cloud.
the class CompareComplyTest method testAddFeedbackWOptions.
@Test
public void testAddFeedbackWOptions() throws Throwable {
// Schedule some responses.
String mockResponseBody = "{\"feedback_id\": \"feedbackId\", \"user_id\": \"userId\", \"comment\": \"comment\", \"created\": \"2019-01-01T12:00:00.000Z\", \"feedback_data\": {\"feedback_type\": \"feedbackType\", \"document\": {\"title\": \"title\", \"hash\": \"hash\"}, \"model_id\": \"modelId\", \"model_version\": \"modelVersion\", \"location\": {\"begin\": 5, \"end\": 3}, \"text\": \"text\", \"original_labels\": {\"types\": [{\"label\": {\"nature\": \"nature\", \"party\": \"party\"}, \"provenance_ids\": [\"provenanceIds\"], \"modification\": \"added\"}], \"categories\": [{\"label\": \"Amendments\", \"provenance_ids\": [\"provenanceIds\"], \"modification\": \"added\"}]}, \"updated_labels\": {\"types\": [{\"label\": {\"nature\": \"nature\", \"party\": \"party\"}, \"provenance_ids\": [\"provenanceIds\"], \"modification\": \"added\"}], \"categories\": [{\"label\": \"Amendments\", \"provenance_ids\": [\"provenanceIds\"], \"modification\": \"added\"}]}, \"pagination\": {\"refresh_cursor\": \"refreshCursor\", \"next_cursor\": \"nextCursor\", \"refresh_url\": \"refreshUrl\", \"next_url\": \"nextUrl\", \"total\": 5}}}";
String addFeedbackPath = "/v1/feedback";
server.enqueue(new MockResponse().setHeader("Content-type", "application/json").setResponseCode(200).setBody(mockResponseBody));
constructClientService();
// Construct an instance of the ShortDoc model
ShortDoc shortDocModel = new ShortDoc.Builder().title("testString").hash("testString").build();
// Construct an instance of the Location model
Location locationModel = new Location.Builder().begin(Long.valueOf("26")).end(Long.valueOf("26")).build();
// Construct an instance of the Label model
Label labelModel = new Label.Builder().nature("testString").party("testString").build();
// Construct an instance of the TypeLabel model
TypeLabel typeLabelModel = new TypeLabel.Builder().label(labelModel).provenanceIds(new java.util.ArrayList<String>(java.util.Arrays.asList("testString"))).modification("added").build();
// Construct an instance of the Category model
Category categoryModel = new Category.Builder().label("Amendments").provenanceIds(new java.util.ArrayList<String>(java.util.Arrays.asList("testString"))).modification("added").build();
// Construct an instance of the OriginalLabelsIn model
OriginalLabelsIn originalLabelsInModel = new OriginalLabelsIn.Builder().types(new java.util.ArrayList<TypeLabel>(java.util.Arrays.asList(typeLabelModel))).categories(new java.util.ArrayList<Category>(java.util.Arrays.asList(categoryModel))).build();
// Construct an instance of the UpdatedLabelsIn model
UpdatedLabelsIn updatedLabelsInModel = new UpdatedLabelsIn.Builder().types(new java.util.ArrayList<TypeLabel>(java.util.Arrays.asList(typeLabelModel))).categories(new java.util.ArrayList<Category>(java.util.Arrays.asList(categoryModel))).build();
// Construct an instance of the FeedbackDataInput model
FeedbackDataInput feedbackDataInputModel = new FeedbackDataInput.Builder().feedbackType("testString").document(shortDocModel).modelId("testString").modelVersion("testString").location(locationModel).text("testString").originalLabels(originalLabelsInModel).updatedLabels(updatedLabelsInModel).build();
// Construct an instance of the AddFeedbackOptions model
AddFeedbackOptions addFeedbackOptionsModel = new AddFeedbackOptions.Builder().feedbackData(feedbackDataInputModel).userId("testString").comment("testString").build();
// Invoke operation with valid options model (positive test)
Response<FeedbackReturn> response = compareComplyService.addFeedback(addFeedbackOptionsModel).execute();
assertNotNull(response);
FeedbackReturn 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);
assertNotNull(query);
// Get query params
assertEquals(query.get("version"), "testString");
// Check request path
String parsedPath = TestUtilities.parseReqPath(request);
assertEquals(parsedPath, addFeedbackPath);
}
use of com.walmartlabs.concord.runtime.v2.model.Location in project java-sdk by watson-developer-cloud.
the class VisualRecognitionIT method testTrainingOperations.
/**
* Test training operations.
*
* @throws FileNotFoundException the file not found exception
*/
@Test
public void testTrainingOperations() throws FileNotFoundException {
String testCollectionId = createTestCollection();
// start by adding images for training
FileWithMetadata giraffeFileZip = new FileWithMetadata.Builder().data(new File(GIRAFFE_POSITIVE_EXAMPLES_PATH)).contentType(HttpMediaType.APPLICATION_ZIP).build();
AddImagesOptions addImagesOptions = new AddImagesOptions.Builder().addImagesFile(giraffeFileZip).collectionId(testCollectionId).build();
ImageDetailsList imageDetailsList = service.addImages(addImagesOptions).execute().getResult();
String imageIdForTraining = null;
Set<String> addedImageIds = new HashSet<>();
for (ImageDetails imageDetails : imageDetailsList.getImages()) {
addedImageIds.add(imageDetails.getImageId());
if (imageIdForTraining == null) {
imageIdForTraining = imageDetails.getImageId();
}
}
try {
Long top = 64L;
Long left = 270L;
Long width = 755L;
Long height = 784L;
Location testLocation = new Location.Builder().top(top).left(left).width(width).height(height).build();
TrainingDataObject trainingDataObject = new TrainingDataObject.Builder().object(GIRAFFE_CLASSNAME).location(testLocation).build();
// test adding training data
AddImageTrainingDataOptions addTrainingDataOptions = new AddImageTrainingDataOptions.Builder().collectionId(testCollectionId).addObjects(trainingDataObject).imageId(imageIdForTraining).build();
TrainingDataObjects trainingDataObjects = service.addImageTrainingData(addTrainingDataOptions).execute().getResult();
assertNotNull(trainingDataObjects);
assertEquals(GIRAFFE_CLASSNAME, trainingDataObjects.getObjects().get(0).object());
assertEquals(top, trainingDataObjects.getObjects().get(0).location().top());
assertEquals(left, trainingDataObjects.getObjects().get(0).location().left());
assertEquals(width, trainingDataObjects.getObjects().get(0).location().width());
assertEquals(height, trainingDataObjects.getObjects().get(0).location().height());
// test train
TrainOptions trainOptions = new TrainOptions.Builder().collectionId(testCollectionId).build();
Collection trainingCollection = service.train(trainOptions).execute().getResult();
assertNotNull(trainingCollection);
assertTrue(trainingCollection.getTrainingStatus().getObjects().inProgress() || trainingCollection.getTrainingStatus().getObjects().ready());
} finally {
// delete images we added earlier
for (String imageId : addedImageIds) {
DeleteImageOptions deleteImageOptions = new DeleteImageOptions.Builder().collectionId(testCollectionId).imageId(imageId).build();
service.deleteImage(deleteImageOptions).execute();
}
deleteTestCollection(testCollectionId);
}
}
use of com.walmartlabs.concord.runtime.v2.model.Location in project java-sdk by watson-developer-cloud.
the class VisualRecognitionTest method testAddImageTrainingDataWOptions.
@Test
public void testAddImageTrainingDataWOptions() throws Throwable {
// Schedule some responses.
String mockResponseBody = "{\"objects\": [{\"object\": \"object\", \"location\": {\"top\": 3, \"left\": 4, \"width\": 5, \"height\": 6}}]}";
String addImageTrainingDataPath = "/v4/collections/testString/images/testString/training_data";
server.enqueue(new MockResponse().setHeader("Content-type", "application/json").setResponseCode(200).setBody(mockResponseBody));
constructClientService();
// Construct an instance of the Location model
Location locationModel = new Location.Builder().top(Long.valueOf("26")).left(Long.valueOf("26")).width(Long.valueOf("26")).height(Long.valueOf("26")).build();
// Construct an instance of the TrainingDataObject model
TrainingDataObject trainingDataObjectModel = new TrainingDataObject.Builder().object("testString").location(locationModel).build();
// Construct an instance of the AddImageTrainingDataOptions model
AddImageTrainingDataOptions addImageTrainingDataOptionsModel = new AddImageTrainingDataOptions.Builder().collectionId("testString").imageId("testString").objects(new java.util.ArrayList<TrainingDataObject>(java.util.Arrays.asList(trainingDataObjectModel))).build();
// Invoke operation with valid options model (positive test)
Response<TrainingDataObjects> response = visualRecognitionService.addImageTrainingData(addImageTrainingDataOptionsModel).execute();
assertNotNull(response);
TrainingDataObjects 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);
assertNotNull(query);
// Get query params
assertEquals(query.get("version"), "testString");
// Check request path
String parsedPath = TestUtilities.parseReqPath(request);
assertEquals(parsedPath, addImageTrainingDataPath);
}
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