import com.google.cloud.aiplatform.util.ValueConverter;
import com.google.cloud.aiplatform.v1.BatchDedicatedResources;
import com.google.cloud.aiplatform.v1.BatchPredictionJob;
import com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig;
import com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig;
import com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo;
import com.google.cloud.aiplatform.v1.BigQueryDestination;
import com.google.cloud.aiplatform.v1.BigQuerySource;
import com.google.cloud.aiplatform.v1.CompletionStats;
import com.google.cloud.aiplatform.v1.GcsDestination;
import com.google.cloud.aiplatform.v1.GcsSource;
import com.google.cloud.aiplatform.v1.JobServiceClient;
import com.google.cloud.aiplatform.v1.JobServiceSettings;
import com.google.cloud.aiplatform.v1.LocationName;
import com.google.cloud.aiplatform.v1.MachineSpec;
import com.google.cloud.aiplatform.v1.ManualBatchTuningParameters;
import com.google.cloud.aiplatform.v1.ModelName;
import com.google.cloud.aiplatform.v1.ResourcesConsumed;
import com.google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams;
import com.google.protobuf.Any;
import com.google.protobuf.Value;
import com.google.rpc.Status;
import java.io.IOException;
import java.util.List;
public class CreateBatchPredictionJobVideoClassificationSample {
public static void main(String[] args) throws IOException {
String batchPredictionDisplayName = "YOUR_VIDEO_CLASSIFICATION_DISPLAY_NAME";
String modelId = "YOUR_MODEL_ID";
String gcsSourceUri =
"gs://YOUR_GCS_SOURCE_BUCKET/path_to_your_video_source/[file.csv/file.jsonl]";
String gcsDestinationOutputUriPrefix =
"gs://YOUR_GCS_SOURCE_BUCKET/destination_output_uri_prefix/";
String project = "YOUR_PROJECT_ID";
createBatchPredictionJobVideoClassification(
batchPredictionDisplayName, modelId, gcsSourceUri, gcsDestinationOutputUriPrefix, project);
}
static void createBatchPredictionJobVideoClassification(
String batchPredictionDisplayName,
String modelId,
String gcsSourceUri,
String gcsDestinationOutputUriPrefix,
String project)
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);
VideoClassificationPredictionParams modelParamsObj =
VideoClassificationPredictionParams.newBuilder()
.setConfidenceThreshold(((float) 0.5))
.setMaxPredictions(10000)
.setSegmentClassification(true)
.setShotClassification(true)
.setOneSecIntervalClassification(true)
.build();
Value modelParameters = ValueConverter.toValue(modelParamsObj);
ModelName modelName = ModelName.of(project, location, modelId);
GcsSource.Builder gcsSource = GcsSource.newBuilder();
gcsSource.addUris(gcsSourceUri);
InputConfig inputConfig =
InputConfig.newBuilder().setInstancesFormat("jsonl").setGcsSource(gcsSource).build();
GcsDestination gcsDestination =
GcsDestination.newBuilder().setOutputUriPrefix(gcsDestinationOutputUriPrefix).build();
OutputConfig outputConfig =
OutputConfig.newBuilder()
.setPredictionsFormat("jsonl")
.setGcsDestination(gcsDestination)
.build();
BatchPredictionJob batchPredictionJob =
BatchPredictionJob.newBuilder()
.setDisplayName(batchPredictionDisplayName)
.setModel(modelName.toString())
.setModelParameters(modelParameters)
.setInputConfig(inputConfig)
.setOutputConfig(outputConfig)
.build();
BatchPredictionJob batchPredictionJobResponse =
jobServiceClient.createBatchPredictionJob(locationName, batchPredictionJob);
System.out.println("Create Batch Prediction Job Video Classification Response");
System.out.format("\tName: %s\n", batchPredictionJobResponse.getName());
System.out.format("\tDisplay Name: %s\n", batchPredictionJobResponse.getDisplayName());
System.out.format("\tModel %s\n", batchPredictionJobResponse.getModel());
System.out.format(
"\tModel Parameters: %s\n", batchPredictionJobResponse.getModelParameters());
System.out.format("\tState: %s\n", batchPredictionJobResponse.getState());
System.out.format("\tCreate Time: %s\n", batchPredictionJobResponse.getCreateTime());
System.out.format("\tStart Time: %s\n", batchPredictionJobResponse.getStartTime());
System.out.format("\tEnd Time: %s\n", batchPredictionJobResponse.getEndTime());
System.out.format("\tUpdate Time: %s\n", batchPredictionJobResponse.getUpdateTime());
System.out.format("\tLabels: %s\n", batchPredictionJobResponse.getLabelsMap());
InputConfig inputConfigResponse = batchPredictionJobResponse.getInputConfig();
System.out.println("\tInput Config");
System.out.format("\t\tInstances Format: %s\n", inputConfigResponse.getInstancesFormat());
GcsSource gcsSourceResponse = inputConfigResponse.getGcsSource();
System.out.println("\t\tGcs Source");
System.out.format("\t\t\tUris %s\n", gcsSourceResponse.getUrisList());
BigQuerySource bigQuerySource = inputConfigResponse.getBigquerySource();
System.out.println("\t\tBigquery Source");
System.out.format("\t\t\tInput_uri: %s\n", bigQuerySource.getInputUri());
OutputConfig outputConfigResponse = batchPredictionJobResponse.getOutputConfig();
System.out.println("\tOutput Config");
System.out.format(
"\t\tPredictions Format: %s\n", outputConfigResponse.getPredictionsFormat());
GcsDestination gcsDestinationResponse = outputConfigResponse.getGcsDestination();
System.out.println("\t\tGcs Destination");
System.out.format(
"\t\t\tOutput Uri Prefix: %s\n", gcsDestinationResponse.getOutputUriPrefix());
BigQueryDestination bigQueryDestination = outputConfigResponse.getBigqueryDestination();
System.out.println("\t\tBig Query Destination");
System.out.format("\t\t\tOutput Uri: %s\n", bigQueryDestination.getOutputUri());
BatchDedicatedResources batchDedicatedResources =
batchPredictionJobResponse.getDedicatedResources();
System.out.println("\tBatch Dedicated Resources");
System.out.format(
"\t\tStarting Replica Count: %s\n", batchDedicatedResources.getStartingReplicaCount());
System.out.format(
"\t\tMax Replica Count: %s\n", batchDedicatedResources.getMaxReplicaCount());
MachineSpec machineSpec = batchDedicatedResources.getMachineSpec();
System.out.println("\t\tMachine Spec");
System.out.format("\t\t\tMachine Type: %s\n", machineSpec.getMachineType());
System.out.format("\t\t\tAccelerator Type: %s\n", machineSpec.getAcceleratorType());
System.out.format("\t\t\tAccelerator Count: %s\n", machineSpec.getAcceleratorCount());
ManualBatchTuningParameters manualBatchTuningParameters =
batchPredictionJobResponse.getManualBatchTuningParameters();
System.out.println("\tManual Batch Tuning Parameters");
System.out.format("\t\tBatch Size: %s\n", manualBatchTuningParameters.getBatchSize());
OutputInfo outputInfo = batchPredictionJobResponse.getOutputInfo();
System.out.println("\tOutput Info");
System.out.format("\t\tGcs Output Directory: %s\n", outputInfo.getGcsOutputDirectory());
System.out.format("\t\tBigquery Output Dataset: %s\n", outputInfo.getBigqueryOutputDataset());
Status status = batchPredictionJobResponse.getError();
System.out.println("\tError");
System.out.format("\t\tCode: %s\n", status.getCode());
System.out.format("\t\tMessage: %s\n", status.getMessage());
List<Any> details = status.getDetailsList();
for (Status partialFailure : batchPredictionJobResponse.getPartialFailuresList()) {
System.out.println("\tPartial Failure");
System.out.format("\t\tCode: %s\n", partialFailure.getCode());
System.out.format("\t\tMessage: %s\n", partialFailure.getMessage());
List<Any> partialFailureDetailsList = partialFailure.getDetailsList();
}
ResourcesConsumed resourcesConsumed = batchPredictionJobResponse.getResourcesConsumed();
System.out.println("\tResources Consumed");
System.out.format("\t\tReplica Hours: %s\n", resourcesConsumed.getReplicaHours());
CompletionStats completionStats = batchPredictionJobResponse.getCompletionStats();
System.out.println("\tCompletion Stats");
System.out.format("\t\tSuccessful Count: %s\n", completionStats.getSuccessfulCount());
System.out.format("\t\tFailed Count: %s\n", completionStats.getFailedCount());
System.out.format("\t\tIncomplete Count: %s\n", completionStats.getIncompleteCount());
}
}
}