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

Example 56 with Error

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

the class DeIdentification method deIdentifyWithFpe.

// [END dlp_deidentify_mask]
// [START dlp_deidentify_fpe]
/**
 * Deidentify a string by encrypting sensitive information while preserving format.
 *
 * @param string The string to deidentify.
 * @param alphabet The set of characters to use when encrypting the input. For more information,
 *     see cloud.google.com/dlp/docs/reference/rest/v2/content/deidentify
 * @param keyName The name of the Cloud KMS key to use when decrypting the wrapped key.
 * @param wrappedKey The encrypted (or "wrapped") AES-256 encryption key.
 * @param projectId ID of Google Cloud project to run the API under.
 */
private static void deIdentifyWithFpe(String string, FfxCommonNativeAlphabet alphabet, String keyName, String wrappedKey, String projectId, String surrogateType) {
    // instantiate a client
    try (DlpServiceClient dlpServiceClient = DlpServiceClient.create()) {
        ContentItem contentItem = ContentItem.newBuilder().setValue(string).build();
        // Create the format-preserving encryption (FPE) configuration
        KmsWrappedCryptoKey kmsWrappedCryptoKey = KmsWrappedCryptoKey.newBuilder().setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedKey))).setCryptoKeyName(keyName).build();
        CryptoKey cryptoKey = CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build();
        CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig = CryptoReplaceFfxFpeConfig.newBuilder().setCryptoKey(cryptoKey).setCommonAlphabet(alphabet).setSurrogateInfoType(InfoType.newBuilder().setName(surrogateType).build()).build();
        // Create the deidentification transformation configuration
        PrimitiveTransformation primitiveTransformation = PrimitiveTransformation.newBuilder().setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig).build();
        InfoTypeTransformation infoTypeTransformationObject = InfoTypeTransformation.newBuilder().setPrimitiveTransformation(primitiveTransformation).build();
        InfoTypeTransformations infoTypeTransformationArray = InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformationObject).build();
        // Create the deidentification request object
        DeidentifyConfig deidentifyConfig = DeidentifyConfig.newBuilder().setInfoTypeTransformations(infoTypeTransformationArray).build();
        DeidentifyContentRequest request = DeidentifyContentRequest.newBuilder().setParent(ProjectName.of(projectId).toString()).setDeidentifyConfig(deidentifyConfig).setItem(contentItem).build();
        // Execute the deidentification request
        DeidentifyContentResponse response = dlpServiceClient.deidentifyContent(request);
        // Print the deidentified input value
        // e.g. "My SSN is 123456789" --> "My SSN is 7261298621"
        String result = response.getItem().getValue();
        System.out.println(result);
    } catch (Exception e) {
        System.out.println("Error in deidentifyWithFpe: " + e.getMessage());
    }
}

Example 57 with Error

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

the class Inspect method inspectFile.

// [END dlp_inspect_string]
// [START dlp_inspect_file]
/**
 * Inspect a local file
 *
 * @param filePath The path to a local file to inspect. Can be a text, JPG, or PNG file.
 * @param minLikelihood The minimum likelihood required before returning a match
 * @param maxFindings The maximum number of findings to report (0 = server maximum)
 * @param infoTypes The infoTypes of information to match
 * @param includeQuote Whether to include the matching string
 * @param projectId Google Cloud project ID
 */
private static void inspectFile(String filePath, Likelihood minLikelihood, int maxFindings, List<InfoType> infoTypes, boolean includeQuote, String projectId) {
    // Instantiates a client
    try (DlpServiceClient dlpServiceClient = DlpServiceClient.create()) {
        // detect file mime type, default to application/octet-stream
        String mimeType = URLConnection.guessContentTypeFromName(filePath);
        if (mimeType == null) {
            mimeType = MimetypesFileTypeMap.getDefaultFileTypeMap().getContentType(filePath);
        }
        ByteContentItem.BytesType bytesType;
        switch(mimeType) {
            case "image/jpeg":
                bytesType = ByteContentItem.BytesType.IMAGE_JPEG;
                break;
            case "image/bmp":
                bytesType = ByteContentItem.BytesType.IMAGE_BMP;
                break;
            case "image/png":
                bytesType = ByteContentItem.BytesType.IMAGE_PNG;
                break;
            case "image/svg":
                bytesType = ByteContentItem.BytesType.IMAGE_SVG;
                break;
            default:
                bytesType = ByteContentItem.BytesType.BYTES_TYPE_UNSPECIFIED;
                break;
        }
        byte[] data = Files.readAllBytes(Paths.get(filePath));
        ByteContentItem byteContentItem = ByteContentItem.newBuilder().setType(bytesType).setData(ByteString.copyFrom(data)).build();
        ContentItem contentItem = ContentItem.newBuilder().setByteItem(byteContentItem).build();
        FindingLimits findingLimits = FindingLimits.newBuilder().setMaxFindingsPerRequest(maxFindings).build();
        InspectConfig inspectConfig = InspectConfig.newBuilder().addAllInfoTypes(infoTypes).setMinLikelihood(minLikelihood).setLimits(findingLimits).setIncludeQuote(includeQuote).build();
        InspectContentRequest request = InspectContentRequest.newBuilder().setParent(ProjectName.of(projectId).toString()).setInspectConfig(inspectConfig).setItem(contentItem).build();
        InspectContentResponse response = dlpServiceClient.inspectContent(request);
        InspectResult result = response.getResult();
        if (result.getFindingsCount() > 0) {
            System.out.println("Findings: ");
            for (Finding finding : result.getFindingsList()) {
                if (includeQuote) {
                    System.out.print("\tQuote: " + finding.getQuote());
                }
                System.out.print("\tInfo type: " + finding.getInfoType().getName());
                System.out.println("\tLikelihood: " + finding.getLikelihood());
            }
        } else {
            System.out.println("No findings.");
        }
    } catch (Exception e) {
        System.out.println("Error in inspectFile: " + e.getMessage());
    }
}

Example 58 with Error

use of com.google.privacy.dlp.v2.Error 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 59 with Error

use of com.google.privacy.dlp.v2.Error 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 60 with Error

use of com.google.privacy.dlp.v2.Error 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());
    }
}