static void createTrainingPipelineVideoObjectTracking()

in aiplatform/src/main/java/aiplatform/CreateTrainingPipelineVideoObjectTrackingSample.java [49:170]
102 lines of code
1 McCabe index (conditional complexity)

  static void createTrainingPipelineVideoObjectTracking(
      String trainingPipelineVideoObjectTracking,
      String datasetId,
      String modelDisplayName,
      String project)
      throws IOException {
    PipelineServiceSettings pipelineServiceSettings =
        PipelineServiceSettings.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 (PipelineServiceClient pipelineServiceClient =
        PipelineServiceClient.create(pipelineServiceSettings)) {
      String location = "us-central1";
      String trainingTaskDefinition =
          "gs://google-cloud-aiplatform/schema/trainingjob/definition/"
              + "automl_video_object_tracking_1.0.0.yaml";
      LocationName locationName = LocationName.of(project, location);

      AutoMlVideoObjectTrackingInputs trainingTaskInputs =
          AutoMlVideoObjectTrackingInputs.newBuilder().setModelType(ModelType.CLOUD).build();

      InputDataConfig inputDataConfig =
          InputDataConfig.newBuilder().setDatasetId(datasetId).build();
      Model modelToUpload = Model.newBuilder().setDisplayName(modelDisplayName).build();
      TrainingPipeline trainingPipeline =
          TrainingPipeline.newBuilder()
              .setDisplayName(trainingPipelineVideoObjectTracking)
              .setTrainingTaskDefinition(trainingTaskDefinition)
              .setTrainingTaskInputs(ValueConverter.toValue(trainingTaskInputs))
              .setInputDataConfig(inputDataConfig)
              .setModelToUpload(modelToUpload)
              .build();

      TrainingPipeline createTrainingPipelineResponse =
          pipelineServiceClient.createTrainingPipeline(locationName, trainingPipeline);

      System.out.println("Create Training Pipeline Video Object Tracking Response");
      System.out.format("Name: %s\n", createTrainingPipelineResponse.getName());
      System.out.format("Display Name: %s\n", createTrainingPipelineResponse.getDisplayName());

      System.out.format(
          "Training Task Definition %s\n",
          createTrainingPipelineResponse.getTrainingTaskDefinition());
      System.out.format(
          "Training Task Inputs: %s\n",
          createTrainingPipelineResponse.getTrainingTaskInputs().toString());
      System.out.format(
          "Training Task Metadata: %s\n",
          createTrainingPipelineResponse.getTrainingTaskMetadata().toString());

      System.out.format("State: %s\n", createTrainingPipelineResponse.getState().toString());
      System.out.format(
          "Create Time: %s\n", createTrainingPipelineResponse.getCreateTime().toString());
      System.out.format("StartTime %s\n", createTrainingPipelineResponse.getStartTime().toString());
      System.out.format("End Time: %s\n", createTrainingPipelineResponse.getEndTime().toString());
      System.out.format(
          "Update Time: %s\n", createTrainingPipelineResponse.getUpdateTime().toString());
      System.out.format("Labels: %s\n", createTrainingPipelineResponse.getLabelsMap().toString());

      InputDataConfig inputDataConfigResponse = createTrainingPipelineResponse.getInputDataConfig();
      System.out.println("Input Data config");
      System.out.format("Dataset Id: %s\n", inputDataConfigResponse.getDatasetId());
      System.out.format("Annotations Filter: %s\n", inputDataConfigResponse.getAnnotationsFilter());

      FractionSplit fractionSplit = inputDataConfigResponse.getFractionSplit();
      System.out.println("Fraction split");
      System.out.format("Training Fraction: %s\n", fractionSplit.getTrainingFraction());
      System.out.format("Validation Fraction: %s\n", fractionSplit.getValidationFraction());
      System.out.format("Test Fraction: %s\n", fractionSplit.getTestFraction());

      FilterSplit filterSplit = inputDataConfigResponse.getFilterSplit();
      System.out.println("Filter Split");
      System.out.format("Training Filter: %s\n", filterSplit.getTrainingFilter());
      System.out.format("Validation Filter: %s\n", filterSplit.getValidationFilter());
      System.out.format("Test Filter: %s\n", filterSplit.getTestFilter());

      PredefinedSplit predefinedSplit = inputDataConfigResponse.getPredefinedSplit();
      System.out.println("Predefined Split");
      System.out.format("Key: %s\n", predefinedSplit.getKey());

      TimestampSplit timestampSplit = inputDataConfigResponse.getTimestampSplit();
      System.out.println("Timestamp Split");
      System.out.format("Training Fraction: %s\n", timestampSplit.getTrainingFraction());
      System.out.format("Validation Fraction: %s\n", timestampSplit.getValidationFraction());
      System.out.format("Test Fraction: %s\n", timestampSplit.getTestFraction());
      System.out.format("Key: %s\n", timestampSplit.getKey());

      Model modelResponse = createTrainingPipelineResponse.getModelToUpload();
      System.out.println("Model To Upload");
      System.out.format("Name: %s\n", modelResponse.getName());
      System.out.format("Display Name: %s\n", modelResponse.getDisplayName());
      System.out.format("Description: %s\n", modelResponse.getDescription());
      System.out.format("Metadata Schema Uri: %s\n", modelResponse.getMetadataSchemaUri());
      System.out.format("Metadata: %s\n", modelResponse.getMetadata());

      System.out.format("Training Pipeline: %s\n", modelResponse.getTrainingPipeline());
      System.out.format("Artifact Uri: %s\n", modelResponse.getArtifactUri());

      System.out.format(
          "Supported Deployment Resources Types: %s\n",
          modelResponse.getSupportedDeploymentResourcesTypesList().toString());
      System.out.format(
          "Supported Input Storage Formats: %s\n",
          modelResponse.getSupportedInputStorageFormatsList().toString());
      System.out.format(
          "Supported Output Storage Formats: %s\n",
          modelResponse.getSupportedOutputStorageFormatsList().toString());

      System.out.format("Create Time: %s\n", modelResponse.getCreateTime());
      System.out.format("Update Time: %s\n", modelResponse.getUpdateTime());
      System.out.format("Labels: %s\n", modelResponse.getLabelsMap());

      Status status = createTrainingPipelineResponse.getError();
      System.out.println("Error");
      System.out.format("Code: %s\n", status.getCode());
      System.out.format("Message: %s\n", status.getMessage());
    }
  }