Examples with DlpJobName com.google.privacy.dlp.v2.DlpJobName used on opensource projects

Example 6 with DlpJobName

use of com.google.privacy.dlp.v2.DlpJobName in project java-docs-samples by GoogleCloudPlatform.

the class Inspect method inspectGcsFile.

// [END dlp_inspect_file]
// [START dlp_inspect_gcs]
/**
 * Inspect GCS file for Info types and wait on job completion using Google Cloud Pub/Sub
 * notification
 *
 * @param bucketName The name of the bucket where the file resides.
 * @param fileName The path to the file within the bucket to inspect (can include wildcards, eg.
 *     my-image.*)
 * @param minLikelihood The minimum likelihood required before returning a match
 * @param infoTypes The infoTypes of information to match
 * @param maxFindings The maximum number of findings to report (0 = server maximum)
 * @param topicId Google Cloud Pub/Sub topic Id to notify of job status
 * @param subscriptionId Google Cloud Subscription to above topic to listen for job status updates
 * @param projectId Google Cloud project ID
 */
private static void inspectGcsFile(String bucketName, String fileName, Likelihood minLikelihood, List<InfoType> infoTypes, int maxFindings, String topicId, String subscriptionId, String projectId) throws Exception {
    // Instantiates a client
    try (DlpServiceClient dlpServiceClient = DlpServiceClient.create()) {
        CloudStorageOptions cloudStorageOptions = CloudStorageOptions.newBuilder().setFileSet(CloudStorageOptions.FileSet.newBuilder().setUrl("gs://" + bucketName + "/" + fileName)).build();
        StorageConfig storageConfig = StorageConfig.newBuilder().setCloudStorageOptions(cloudStorageOptions).build();
        FindingLimits findingLimits = FindingLimits.newBuilder().setMaxFindingsPerRequest(maxFindings).build();
        InspectConfig inspectConfig = InspectConfig.newBuilder().addAllInfoTypes(infoTypes).setMinLikelihood(minLikelihood).setLimits(findingLimits).build();
        String pubSubTopic = String.format("projects/%s/topics/%s", projectId, topicId);
        Action.PublishToPubSub publishToPubSub = Action.PublishToPubSub.newBuilder().setTopic(pubSubTopic).build();
        Action action = Action.newBuilder().setPubSub(publishToPubSub).build();
        InspectJobConfig inspectJobConfig = InspectJobConfig.newBuilder().setStorageConfig(storageConfig).setInspectConfig(inspectConfig).addActions(action).build();
        // Semi-synchronously submit an inspect job, and wait on results
        CreateDlpJobRequest createDlpJobRequest = CreateDlpJobRequest.newBuilder().setParent(ProjectName.of(projectId).toString()).setInspectJob(inspectJobConfig).build();
        DlpJob dlpJob = dlpServiceClient.createDlpJob(createDlpJobRequest);
        System.out.println("Job created with ID:" + dlpJob.getName());
        final SettableApiFuture<Boolean> done = SettableApiFuture.create();
        // Set up a Pub/Sub subscriber to listen on the job completion status
        Subscriber subscriber = Subscriber.newBuilder(ProjectSubscriptionName.of(projectId, subscriptionId), (pubsubMessage, ackReplyConsumer) -> {
            if (pubsubMessage.getAttributesCount() > 0 && pubsubMessage.getAttributesMap().get("DlpJobName").equals(dlpJob.getName())) {
                // notify job completion
                done.set(true);
                ackReplyConsumer.ack();
            }
        }).build();
        subscriber.startAsync();
        // For long jobs, consider using a truly asynchronous execution model such as Cloud Functions
        try {
            done.get(1, TimeUnit.MINUTES);
            // Wait for the job to become available
            Thread.sleep(500);
        } catch (Exception e) {
            System.out.println("Unable to verify job completion.");
        }
        DlpJob completedJob = dlpServiceClient.getDlpJob(GetDlpJobRequest.newBuilder().setName(dlpJob.getName()).build());
        System.out.println("Job status: " + completedJob.getState());
        InspectDataSourceDetails inspectDataSourceDetails = completedJob.getInspectDetails();
        InspectDataSourceDetails.Result result = inspectDataSourceDetails.getResult();
        if (result.getInfoTypeStatsCount() > 0) {
            System.out.println("Findings: ");
            for (InfoTypeStats infoTypeStat : result.getInfoTypeStatsList()) {
                System.out.print("\tInfo type: " + infoTypeStat.getInfoType().getName());
                System.out.println("\tCount: " + infoTypeStat.getCount());
            }
        } else {
            System.out.println("No findings.");
        }
    }
}

Example 7 with DlpJobName

use of com.google.privacy.dlp.v2.DlpJobName in project java-docs-samples by GoogleCloudPlatform.

the class Jobs method deleteJob.

// [END dlp_list_jobs]
/**
 * Delete a DLP Job
 *
 * @param projectId Google Cloud ProjectID
 * @param jobId DLP Job ID
 */
// [START dlp_delete_job]
private static void deleteJob(String projectId, String jobId) {
    try (DlpServiceClient dlpServiceClient = DlpServiceClient.create()) {
        // construct complete job name
        DlpJobName job = DlpJobName.of(projectId, jobId);
        DeleteDlpJobRequest deleteDlpJobRequest = DeleteDlpJobRequest.newBuilder().setName(job.toString()).build();
        // submit job deletion request
        dlpServiceClient.deleteDlpJob(deleteDlpJobRequest);
        System.out.println("Job deleted successfully.");
    } catch (Exception e) {
        System.err.println("Error deleting DLP job: " + e.getMessage());
    }
}

Example 8 with DlpJobName

use of com.google.privacy.dlp.v2.DlpJobName in project java-docs-samples by GoogleCloudPlatform.

the class RiskAnalysis method calculateKAnonymity.

// [END dlp_categorical_stats]
// [START dlp_k_anonymity]
/**
 * Calculate k-anonymity for quasi-identifiers in a BigQuery table using the DLP API.
 *
 * @param projectId The Google Cloud Platform project ID to run the API call under.
 * @param datasetId The BigQuery dataset to analyze.
 * @param tableId The BigQuery table to analyze.
 * @param quasiIds The names of columns that form a composite key ('quasi-identifiers').
 * @param topicId The name of the Pub/Sub topic to notify once the job completes
 * @param subscriptionId The name of the Pub/Sub subscription to use when listening for job
 *     completion status.
 */
private static void calculateKAnonymity(String projectId, String datasetId, String tableId, List<String> quasiIds, String topicId, String subscriptionId) throws Exception {
    // Instantiates a client
    try (DlpServiceClient dlpServiceClient = DlpServiceClient.create()) {
        List<FieldId> quasiIdFields = quasiIds.stream().map(columnName -> FieldId.newBuilder().setName(columnName).build()).collect(Collectors.toList());
        KAnonymityConfig kanonymityConfig = KAnonymityConfig.newBuilder().addAllQuasiIds(quasiIdFields).build();
        BigQueryTable bigQueryTable = BigQueryTable.newBuilder().setProjectId(projectId).setDatasetId(datasetId).setTableId(tableId).build();
        PrivacyMetric privacyMetric = PrivacyMetric.newBuilder().setKAnonymityConfig(kanonymityConfig).build();
        String topicName = String.format("projects/%s/topics/%s", projectId, topicId);
        PublishToPubSub publishToPubSub = PublishToPubSub.newBuilder().setTopic(topicName).build();
        // Create action to publish job status notifications over Google Cloud Pub/Sub
        Action action = Action.newBuilder().setPubSub(publishToPubSub).build();
        RiskAnalysisJobConfig riskAnalysisJobConfig = RiskAnalysisJobConfig.newBuilder().setSourceTable(bigQueryTable).setPrivacyMetric(privacyMetric).addActions(action).build();
        CreateDlpJobRequest createDlpJobRequest = CreateDlpJobRequest.newBuilder().setParent(ProjectName.of(projectId).toString()).setRiskJob(riskAnalysisJobConfig).build();
        DlpJob dlpJob = dlpServiceClient.createDlpJob(createDlpJobRequest);
        String dlpJobName = dlpJob.getName();
        final SettableApiFuture<Boolean> done = SettableApiFuture.create();
        // Set up a Pub/Sub subscriber to listen on the job completion status
        Subscriber subscriber = Subscriber.newBuilder(ProjectSubscriptionName.newBuilder().setProject(projectId).setSubscription(subscriptionId).build(), (pubsubMessage, ackReplyConsumer) -> {
            if (pubsubMessage.getAttributesCount() > 0 && pubsubMessage.getAttributesMap().get("DlpJobName").equals(dlpJobName)) {
                // notify job completion
                done.set(true);
                ackReplyConsumer.ack();
            }
        }).build();
        subscriber.startAsync();
        // For long jobs, consider using a truly asynchronous execution model such as Cloud Functions
        try {
            done.get(1, TimeUnit.MINUTES);
            // Wait for the job to become available
            Thread.sleep(500);
        } catch (TimeoutException e) {
            System.out.println("Unable to verify job completion.");
        }
        // Retrieve completed job status
        DlpJob completedJob = dlpServiceClient.getDlpJob(GetDlpJobRequest.newBuilder().setName(dlpJobName).build());
        System.out.println("Job status: " + completedJob.getState());
        AnalyzeDataSourceRiskDetails riskDetails = completedJob.getRiskDetails();
        KAnonymityResult kanonymityResult = riskDetails.getKAnonymityResult();
        for (KAnonymityHistogramBucket result : kanonymityResult.getEquivalenceClassHistogramBucketsList()) {
            System.out.printf("Bucket size range: [%d, %d]\n", result.getEquivalenceClassSizeLowerBound(), result.getEquivalenceClassSizeUpperBound());
            for (KAnonymityEquivalenceClass bucket : result.getBucketValuesList()) {
                List<String> quasiIdValues = bucket.getQuasiIdsValuesList().stream().map(v -> v.toString()).collect(Collectors.toList());
                System.out.println("\tQuasi-ID values: " + String.join(", ", quasiIdValues));
                System.out.println("\tClass size: " + bucket.getEquivalenceClassSize());
            }
        }
    } catch (Exception e) {
        System.out.println("Error in calculateKAnonymity: " + e.getMessage());
    }
}

Example 9 with DlpJobName

use of com.google.privacy.dlp.v2.DlpJobName in project java-docs-samples by GoogleCloudPlatform.

the class RiskAnalysis method numericalStatsAnalysis.

// [START dlp_numerical_stats]
/**
 * Calculate numerical statistics for a column in a BigQuery table using the DLP API.
 *
 * @param projectId The Google Cloud Platform project ID to run the API call under.
 * @param datasetId The BigQuery dataset to analyze.
 * @param tableId The BigQuery table to analyze.
 * @param columnName The name of the column to analyze, which must contain only numerical data.
 * @param topicId The name of the Pub/Sub topic to notify once the job completes
 * @param subscriptionId The name of the Pub/Sub subscription to use when listening for job
 *     completion status.
 */
private static void numericalStatsAnalysis(String projectId, String datasetId, String tableId, String columnName, String topicId, String subscriptionId) throws Exception {
    // Instantiates a client
    try (DlpServiceClient dlpServiceClient = DlpServiceClient.create()) {
        BigQueryTable bigQueryTable = BigQueryTable.newBuilder().setTableId(tableId).setDatasetId(datasetId).setProjectId(projectId).build();
        FieldId fieldId = FieldId.newBuilder().setName(columnName).build();
        NumericalStatsConfig numericalStatsConfig = NumericalStatsConfig.newBuilder().setField(fieldId).build();
        PrivacyMetric privacyMetric = PrivacyMetric.newBuilder().setNumericalStatsConfig(numericalStatsConfig).build();
        String topicName = String.format("projects/%s/topics/%s", projectId, topicId);
        PublishToPubSub publishToPubSub = PublishToPubSub.newBuilder().setTopic(topicName).build();
        // Create action to publish job status notifications over Google Cloud Pub/Sub
        Action action = Action.newBuilder().setPubSub(publishToPubSub).build();
        RiskAnalysisJobConfig riskAnalysisJobConfig = RiskAnalysisJobConfig.newBuilder().setSourceTable(bigQueryTable).setPrivacyMetric(privacyMetric).addActions(action).build();
        CreateDlpJobRequest createDlpJobRequest = CreateDlpJobRequest.newBuilder().setParent(ProjectName.of(projectId).toString()).setRiskJob(riskAnalysisJobConfig).build();
        DlpJob dlpJob = dlpServiceClient.createDlpJob(createDlpJobRequest);
        String dlpJobName = dlpJob.getName();
        final SettableApiFuture<Boolean> done = SettableApiFuture.create();
        // Set up a Pub/Sub subscriber to listen on the job completion status
        Subscriber subscriber = Subscriber.newBuilder(ProjectSubscriptionName.newBuilder().setProject(projectId).setSubscription(subscriptionId).build(), (pubsubMessage, ackReplyConsumer) -> {
            if (pubsubMessage.getAttributesCount() > 0 && pubsubMessage.getAttributesMap().get("DlpJobName").equals(dlpJobName)) {
                // notify job completion
                done.set(true);
                ackReplyConsumer.ack();
            }
        }).build();
        subscriber.startAsync();
        // For long jobs, consider using a truly asynchronous execution model such as Cloud Functions
        try {
            done.get(1, TimeUnit.MINUTES);
            // Wait for the job to become available
            Thread.sleep(500);
        } catch (TimeoutException e) {
            System.out.println("Unable to verify job completion.");
        }
        // Retrieve completed job status
        DlpJob completedJob = dlpServiceClient.getDlpJob(GetDlpJobRequest.newBuilder().setName(dlpJobName).build());
        System.out.println("Job status: " + completedJob.getState());
        AnalyzeDataSourceRiskDetails riskDetails = completedJob.getRiskDetails();
        AnalyzeDataSourceRiskDetails.NumericalStatsResult result = riskDetails.getNumericalStatsResult();
        System.out.printf("Value range : [%.3f, %.3f]\n", result.getMinValue().getFloatValue(), result.getMaxValue().getFloatValue());
        int percent = 1;
        Double lastValue = null;
        for (Value quantileValue : result.getQuantileValuesList()) {
            Double currentValue = quantileValue.getFloatValue();
            if (lastValue == null || !lastValue.equals(currentValue)) {
                System.out.printf("Value at %s %% quantile : %.3f", percent, currentValue);
            }
            lastValue = currentValue;
        }
    } catch (Exception e) {
        System.out.println("Error in categoricalStatsAnalysis: " + e.getMessage());
    }
}