Examples with ErrorInfo com.ibm.watson.developer_cloud.visual_recognition.v3.model.ErrorInfo used on opensource projects

Example 1 with ErrorInfo

use of com.ibm.watson.developer_cloud.visual_recognition.v3.model.ErrorInfo in project jbpm-work-items by kiegroup.

the class ClassifyImageWorkitemHandler method executeWorkItem.

public void executeWorkItem(WorkItem workItem, WorkItemManager workItemManager) {
    Document classificationImage = (Document) workItem.getParameter("ImageToClassify");
    Map<String, Object> widResults = new HashMap<String, Object>();
    if (classificationImage != null) {
        try {
            VisualRecognition service = auth.getService(apiKey);
            ByteArrayInputStream imageStream = new ByteArrayInputStream(classificationImage.getContent());
            ClassifyOptions classifyOptions = new ClassifyOptions.Builder().imagesFile(imageStream).imagesFilename(classificationImage.getName()).parameters("{\"owners\": [\"me\"]}").build();
            ClassifiedImage result = service.classify(classifyOptions).execute().getImages().get(0);
            if (result.getError() != null) {
                ErrorInfo errorInfo = result.getError();
                logger.error("Error classifying image: " + errorInfo.getDescription());
                workItemManager.abortWorkItem(workItem.getId());
            } else {
                List<ImageClassificationResult> resultList = new ArrayList<>();
                for (ClassifierResult classification : result.getClassifiers()) {
                    for (ClassResult classResult : classification.getClasses()) {
                        resultList.add(new ImageClassificationResult(classification, classResult));
                    }
                    widResults.put(RESULT_VALUE, resultList);
                }
                workItemManager.completeWorkItem(workItem.getId(), widResults);
            }
        } catch (Exception e) {
            handleException(e);
        }
    } else {
        logger.error("Missing image for classification.");
        throw new IllegalArgumentException("Missing image for classification.");
    }
}