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Example 11 with JobServiceClient

use of com.google.cloud.aiplatform.v1.JobServiceClient in project java-talent by googleapis.

the class JobSearchDeleteJob method sampleDeleteJob.

/**
 * Delete Job
 */
public static void sampleDeleteJob(String projectId, String tenantId, String jobId) {
    try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
        JobName name = JobWithTenantName.of(projectId, tenantId, jobId);
        DeleteJobRequest request = DeleteJobRequest.newBuilder().setName(name.toString()).build();
        jobServiceClient.deleteJob(request);
        System.out.println("Deleted job.");
    } catch (Exception exception) {
        System.err.println("Failed to create the client due to: " + exception);
    }
}
Also used : DeleteJobRequest(com.google.cloud.talent.v4beta1.DeleteJobRequest) JobName(com.google.cloud.talent.v4beta1.JobName) JobServiceClient(com.google.cloud.talent.v4beta1.JobServiceClient)

Example 12 with JobServiceClient

use of com.google.cloud.aiplatform.v1.JobServiceClient in project java-talent by googleapis.

the class JobSearchGetJob method sampleGetJob.

/**
 * Get Job
 */
public static void sampleGetJob(String projectId, String tenantId, String jobId) {
    try (JobServiceClient jobServiceClient = JobServiceClient.create()) {
        JobName name = JobWithTenantName.of(projectId, tenantId, jobId);
        GetJobRequest request = GetJobRequest.newBuilder().setName(name.toString()).build();
        Job response = jobServiceClient.getJob(request);
        System.out.printf("Job name: %s\n", response.getName());
        System.out.printf("Requisition ID: %s\n", response.getRequisitionId());
        System.out.printf("Title: %s\n", response.getTitle());
        System.out.printf("Description: %s\n", response.getDescription());
        System.out.printf("Posting language: %s\n", response.getLanguageCode());
        for (String address : response.getAddressesList()) {
            System.out.printf("Address: %s\n", address);
        }
        for (String email : response.getApplicationInfo().getEmailsList()) {
            System.out.printf("Email: %s\n", email);
        }
        for (String websiteUri : response.getApplicationInfo().getUrisList()) {
            System.out.printf("Website: %s\n", websiteUri);
        }
    } catch (Exception exception) {
        System.err.println("Failed to create the client due to: " + exception);
    }
}
Also used : GetJobRequest(com.google.cloud.talent.v4beta1.GetJobRequest) JobName(com.google.cloud.talent.v4beta1.JobName) JobServiceClient(com.google.cloud.talent.v4beta1.JobServiceClient) Job(com.google.cloud.talent.v4beta1.Job)

Example 13 with JobServiceClient

use of com.google.cloud.aiplatform.v1.JobServiceClient in project java-aiplatform by googleapis.

the class GetBatchPredictionJobSample method getBatchPredictionJobSample.

static void getBatchPredictionJobSample(String project, String batchPredictionJobId) throws IOException {
    JobServiceSettings jobServiceSettings = JobServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    // the "close" method on the client to safely clean up any remaining background resources.
    try (JobServiceClient jobServiceClient = JobServiceClient.create(jobServiceSettings)) {
        String location = "us-central1";
        BatchPredictionJobName batchPredictionJobName = BatchPredictionJobName.of(project, location, batchPredictionJobId);
        BatchPredictionJob batchPredictionJob = jobServiceClient.getBatchPredictionJob(batchPredictionJobName);
        System.out.println("Get Batch Prediction Job Response");
        System.out.format("\tName: %s\n", batchPredictionJob.getName());
        System.out.format("\tDisplay Name: %s\n", batchPredictionJob.getDisplayName());
        System.out.format("\tModel: %s\n", batchPredictionJob.getModel());
        System.out.format("\tModel Parameters: %s\n", batchPredictionJob.getModelParameters());
        System.out.format("\tState: %s\n", batchPredictionJob.getState());
        System.out.format("\tCreate Time: %s\n", batchPredictionJob.getCreateTime());
        System.out.format("\tStart Time: %s\n", batchPredictionJob.getStartTime());
        System.out.format("\tEnd Time: %s\n", batchPredictionJob.getEndTime());
        System.out.format("\tUpdate Time: %s\n", batchPredictionJob.getUpdateTime());
        System.out.format("\tLabels: %s\n", batchPredictionJob.getLabelsMap());
        InputConfig inputConfig = batchPredictionJob.getInputConfig();
        System.out.println("\tInput Config");
        System.out.format("\t\tInstances Format: %s\n", inputConfig.getInstancesFormat());
        GcsSource gcsSource = inputConfig.getGcsSource();
        System.out.println("\t\tGcs Source");
        System.out.format("\t\t\tUris: %s\n", gcsSource.getUrisList());
        BigQuerySource bigquerySource = inputConfig.getBigquerySource();
        System.out.println("\t\tBigquery Source");
        System.out.format("\t\t\tInput Uri: %s\n", bigquerySource.getInputUri());
        OutputConfig outputConfig = batchPredictionJob.getOutputConfig();
        System.out.println("\tOutput Config");
        System.out.format("\t\tPredictions Format: %s\n", outputConfig.getPredictionsFormat());
        GcsDestination gcsDestination = outputConfig.getGcsDestination();
        System.out.println("\t\tGcs Destination");
        System.out.format("\t\t\tOutput Uri Prefix: %s\n", gcsDestination.getOutputUriPrefix());
        BigQueryDestination bigqueryDestination = outputConfig.getBigqueryDestination();
        System.out.println("\t\tBigquery Destination");
        System.out.format("\t\t\tOutput Uri: %s\n", bigqueryDestination.getOutputUri());
        OutputInfo outputInfo = batchPredictionJob.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 = batchPredictionJob.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> detailsList = status.getDetailsList();
        for (Status partialFailure : batchPredictionJob.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> details = partialFailure.getDetailsList();
        }
        ResourcesConsumed resourcesConsumed = batchPredictionJob.getResourcesConsumed();
        System.out.println("\tResources Consumed");
        System.out.format("\t\tReplica Hours: %s\n", resourcesConsumed.getReplicaHours());
        CompletionStats completionStats = batchPredictionJob.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());
    }
}
Also used : Status(com.google.rpc.Status) JobServiceSettings(com.google.cloud.aiplatform.v1.JobServiceSettings) GcsSource(com.google.cloud.aiplatform.v1.GcsSource) BatchPredictionJob(com.google.cloud.aiplatform.v1.BatchPredictionJob) JobServiceClient(com.google.cloud.aiplatform.v1.JobServiceClient) BigQueryDestination(com.google.cloud.aiplatform.v1.BigQueryDestination) Any(com.google.protobuf.Any) OutputInfo(com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo) OutputConfig(com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig) ResourcesConsumed(com.google.cloud.aiplatform.v1.ResourcesConsumed) BatchPredictionJobName(com.google.cloud.aiplatform.v1.BatchPredictionJobName) InputConfig(com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig) BigQuerySource(com.google.cloud.aiplatform.v1.BigQuerySource) GcsDestination(com.google.cloud.aiplatform.v1.GcsDestination) CompletionStats(com.google.cloud.aiplatform.v1.CompletionStats)

Example 14 with JobServiceClient

use of com.google.cloud.aiplatform.v1.JobServiceClient in project java-aiplatform by googleapis.

the class GetHyperparameterTuningJobSample method getHyperparameterTuningJobSample.

static void getHyperparameterTuningJobSample(String project, String hyperparameterTuningJobId) throws IOException {
    JobServiceSettings settings = JobServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    String location = "us-central1";
    // the "close" method on the client to safely clean up any remaining background resources.
    try (JobServiceClient client = JobServiceClient.create(settings)) {
        HyperparameterTuningJobName name = HyperparameterTuningJobName.of(project, location, hyperparameterTuningJobId);
        HyperparameterTuningJob response = client.getHyperparameterTuningJob(name);
        System.out.format("response: %s\n", response);
    }
}
Also used : JobServiceSettings(com.google.cloud.aiplatform.v1.JobServiceSettings) HyperparameterTuningJob(com.google.cloud.aiplatform.v1.HyperparameterTuningJob) HyperparameterTuningJobName(com.google.cloud.aiplatform.v1.HyperparameterTuningJobName) JobServiceClient(com.google.cloud.aiplatform.v1.JobServiceClient)

Example 15 with JobServiceClient

use of com.google.cloud.aiplatform.v1.JobServiceClient in project java-aiplatform by googleapis.

the class CreateHyperparameterTuningJobSampleTest method tearDown.

@After
public void tearDown() throws InterruptedException, ExecutionException, IOException, TimeoutException {
    JobServiceSettings settings = JobServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    try (JobServiceClient client = JobServiceClient.create(settings)) {
        // Cancel hyper parameter job
        String hyperparameterJobName = String.format("projects/%s/locations/us-central1/hyperparameterTuningJobs/%s", PROJECT, hyperparameterJobId);
        client.cancelHyperparameterTuningJob(hyperparameterJobName);
        TimeUnit.MINUTES.sleep(1);
        // Delete the created job
        client.deleteHyperparameterTuningJobAsync(hyperparameterJobName);
        System.out.flush();
        System.setOut(originalPrintStream);
    }
}
Also used : JobServiceSettings(com.google.cloud.aiplatform.v1beta1.JobServiceSettings) JobServiceClient(com.google.cloud.aiplatform.v1beta1.JobServiceClient) After(org.junit.After)

Aggregations

JobServiceClient (com.google.cloud.aiplatform.v1.JobServiceClient)21 JobServiceSettings (com.google.cloud.aiplatform.v1.JobServiceSettings)21 JobServiceClient (com.google.cloud.talent.v4beta1.JobServiceClient)19 Job (com.google.cloud.talent.v4beta1.Job)16 LocationName (com.google.cloud.aiplatform.v1.LocationName)15 Value (com.google.protobuf.Value)10 BatchPredictionJob (com.google.cloud.aiplatform.v1.BatchPredictionJob)9 GcsDestination (com.google.cloud.aiplatform.v1.GcsDestination)8 GcsSource (com.google.cloud.aiplatform.v1.GcsSource)8 JobServiceClient (com.google.cloud.talent.v4.JobServiceClient)8 Job (com.google.cloud.talent.v4.Job)7 TenantOrProjectName (com.google.cloud.talent.v4beta1.TenantOrProjectName)7 TenantName (com.google.cloud.talent.v4.TenantName)6 RequestMetadata (com.google.cloud.talent.v4beta1.RequestMetadata)6 SearchJobsRequest (com.google.cloud.talent.v4beta1.SearchJobsRequest)6 DataLabelingJob (com.google.cloud.aiplatform.v1.DataLabelingJob)5 MachineSpec (com.google.cloud.aiplatform.v1.MachineSpec)5 BigQueryDestination (com.google.cloud.aiplatform.v1.BigQueryDestination)4 BigQuerySource (com.google.cloud.aiplatform.v1.BigQuerySource)4 CreateJobRequest (com.google.cloud.talent.v4beta1.CreateJobRequest)4