aiplatform/src/main/java/aiplatform/CreateDataLabelingJobVideoSample.java [44:113]:
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  static void createDataLabelingJobVideo(
      String project,
      String displayName,
      String datasetId,
      String instructionUri,
      String annotationSpec)
      throws IOException {
    JobServiceSettings jobServiceSettings =
        JobServiceSettings.newBuilder()
            .setEndpoint("us-central1-aiplatform.googleapis.com:443")
            .build();

    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (JobServiceClient jobServiceClient = JobServiceClient.create(jobServiceSettings)) {
      String location = "us-central1";
      LocationName locationName = LocationName.of(project, location);

      String jsonString = "{\"annotation_specs\": [ " + annotationSpec + "]}";
      Value.Builder annotationSpecValue = Value.newBuilder();
      JsonFormat.parser().merge(jsonString, annotationSpecValue);

      DatasetName datasetName = DatasetName.of(project, location, datasetId);
      DataLabelingJob dataLabelingJob =
          DataLabelingJob.newBuilder()
              .setDisplayName(displayName)
              .setLabelerCount(1)
              .setInstructionUri(instructionUri)
              .setInputsSchemaUri(
                  "gs://google-cloud-aiplatform/schema/datalabelingjob/inputs/"
                      + "video_classification.yaml")
              .addDatasets(datasetName.toString())
              .setInputs(annotationSpecValue)
              .putAnnotationLabels(
                  "aiplatform.googleapis.com/annotation_set_name", "my_test_saved_query")
              .build();

      DataLabelingJob dataLabelingJobResponse =
          jobServiceClient.createDataLabelingJob(locationName, dataLabelingJob);

      System.out.println("Create Data Labeling Job Video Response");
      System.out.format("\tName: %s\n", dataLabelingJobResponse.getName());
      System.out.format("\tDisplay Name: %s\n", dataLabelingJobResponse.getDisplayName());
      System.out.format("\tDatasets: %s\n", dataLabelingJobResponse.getDatasetsList());
      System.out.format("\tLabeler Count: %s\n", dataLabelingJobResponse.getLabelerCount());
      System.out.format("\tInstruction Uri: %s\n", dataLabelingJobResponse.getInstructionUri());
      System.out.format("\tInputs Schema Uri: %s\n", dataLabelingJobResponse.getInputsSchemaUri());
      System.out.format("\tInputs: %s\n", dataLabelingJobResponse.getInputs());
      System.out.format("\tState: %s\n", dataLabelingJobResponse.getState());
      System.out.format("\tLabeling Progress: %s\n", dataLabelingJobResponse.getLabelingProgress());
      System.out.format("\tCreate Time: %s\n", dataLabelingJobResponse.getCreateTime());
      System.out.format("\tUpdate Time: %s\n", dataLabelingJobResponse.getUpdateTime());
      System.out.format("\tLabels: %s\n", dataLabelingJobResponse.getLabelsMap());
      System.out.format(
          "\tSpecialist Pools: %s\n", dataLabelingJobResponse.getSpecialistPoolsList());
      for (Map.Entry<String, String> annotationLabelMap :
          dataLabelingJobResponse.getAnnotationLabelsMap().entrySet()) {
        System.out.println("\tAnnotation Level");
        System.out.format("\t\tkey: %s\n", annotationLabelMap.getKey());
        System.out.format("\t\tvalue: %s\n", annotationLabelMap.getValue());
      }

      Money money = dataLabelingJobResponse.getCurrentSpend();
      System.out.println("\tCurrent Spend");
      System.out.format("\t\tCurrency Code: %s\n", money.getCurrencyCode());
      System.out.format("\t\tUnits: %s\n", money.getUnits());
      System.out.format("\t\tNanos: %s\n", money.getNanos());
    }
  }
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aiplatform/src/main/java/aiplatform/CreateDataLabelingJobImageSample.java [44:113]:
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  static void createDataLabelingJobImage(
      String project,
      String displayName,
      String datasetId,
      String instructionUri,
      String annotationSpec)
      throws IOException {
    JobServiceSettings jobServiceSettings =
        JobServiceSettings.newBuilder()
            .setEndpoint("us-central1-aiplatform.googleapis.com:443")
            .build();

    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (JobServiceClient jobServiceClient = JobServiceClient.create(jobServiceSettings)) {
      String location = "us-central1";
      LocationName locationName = LocationName.of(project, location);

      String jsonString = "{\"annotation_specs\": [ " + annotationSpec + "]}";
      Value.Builder annotationSpecValue = Value.newBuilder();
      JsonFormat.parser().merge(jsonString, annotationSpecValue);

      DatasetName datasetName = DatasetName.of(project, location, datasetId);
      DataLabelingJob dataLabelingJob =
          DataLabelingJob.newBuilder()
              .setDisplayName(displayName)
              .setLabelerCount(1)
              .setInstructionUri(instructionUri)
              .setInputsSchemaUri(
                  "gs://google-cloud-aiplatform/schema/datalabelingjob/inputs/"
                      + "image_classification.yaml")
              .addDatasets(datasetName.toString())
              .setInputs(annotationSpecValue)
              .putAnnotationLabels(
                  "aiplatform.googleapis.com/annotation_set_name", "my_test_saved_query")
              .build();

      DataLabelingJob dataLabelingJobResponse =
          jobServiceClient.createDataLabelingJob(locationName, dataLabelingJob);

      System.out.println("Create Data Labeling Job Image Response");
      System.out.format("\tName: %s\n", dataLabelingJobResponse.getName());
      System.out.format("\tDisplay Name: %s\n", dataLabelingJobResponse.getDisplayName());
      System.out.format("\tDatasets: %s\n", dataLabelingJobResponse.getDatasetsList());
      System.out.format("\tLabeler Count: %s\n", dataLabelingJobResponse.getLabelerCount());
      System.out.format("\tInstruction Uri: %s\n", dataLabelingJobResponse.getInstructionUri());
      System.out.format("\tInputs Schema Uri: %s\n", dataLabelingJobResponse.getInputsSchemaUri());
      System.out.format("\tInputs: %s\n", dataLabelingJobResponse.getInputs());
      System.out.format("\tState: %s\n", dataLabelingJobResponse.getState());
      System.out.format("\tLabeling Progress: %s\n", dataLabelingJobResponse.getLabelingProgress());
      System.out.format("\tCreate Time: %s\n", dataLabelingJobResponse.getCreateTime());
      System.out.format("\tUpdate Time: %s\n", dataLabelingJobResponse.getUpdateTime());
      System.out.format("\tLabels: %s\n", dataLabelingJobResponse.getLabelsMap());
      System.out.format(
          "\tSpecialist Pools: %s\n", dataLabelingJobResponse.getSpecialistPoolsList());
      for (Map.Entry<String, String> annotationLabelMap :
          dataLabelingJobResponse.getAnnotationLabelsMap().entrySet()) {
        System.out.println("\tAnnotation Level");
        System.out.format("\t\tkey: %s\n", annotationLabelMap.getKey());
        System.out.format("\t\tvalue: %s\n", annotationLabelMap.getValue());
      }
      Money money = dataLabelingJobResponse.getCurrentSpend();

      System.out.println("\tCurrent Spend");
      System.out.format("\t\tCurrency Code: %s\n", money.getCurrencyCode());
      System.out.format("\t\tUnits: %s\n", money.getUnits());
      System.out.format("\t\tNanos: %s\n", money.getNanos());
    }
  }
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