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

Example 1 with Likelihood

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

the class Inspect method main.

// [END dlp_inspect_bigquery]
/**
 * Command line application to inspect data using the Data Loss Prevention API. Supported data
 * formats: string, file, text file on GCS, BigQuery table, and Datastore entity
 */
public static void main(String[] args) throws Exception {
    OptionGroup optionsGroup = new OptionGroup();
    optionsGroup.setRequired(true);
    Option stringOption = new Option("s", "string", true, "inspect string");
    optionsGroup.addOption(stringOption);
    Option fileOption = new Option("f", "file path", true, "inspect input file path");
    optionsGroup.addOption(fileOption);
    Option gcsOption = new Option("gcs", "Google Cloud Storage", false, "inspect GCS file");
    optionsGroup.addOption(gcsOption);
    Option datastoreOption = new Option("ds", "Google Datastore", false, "inspect Datastore kind");
    optionsGroup.addOption(datastoreOption);
    Option bigqueryOption = new Option("bq", "Google BigQuery", false, "inspect BigQuery table");
    optionsGroup.addOption(bigqueryOption);
    Options commandLineOptions = new Options();
    commandLineOptions.addOptionGroup(optionsGroup);
    Option minLikelihoodOption = Option.builder("minLikelihood").hasArg(true).required(false).build();
    commandLineOptions.addOption(minLikelihoodOption);
    Option maxFindingsOption = Option.builder("maxFindings").hasArg(true).required(false).build();
    commandLineOptions.addOption(maxFindingsOption);
    Option infoTypesOption = Option.builder("infoTypes").hasArg(true).required(false).build();
    infoTypesOption.setArgs(Option.UNLIMITED_VALUES);
    commandLineOptions.addOption(infoTypesOption);
    Option includeQuoteOption = Option.builder("includeQuote").hasArg(true).required(false).build();
    commandLineOptions.addOption(includeQuoteOption);
    Option bucketNameOption = Option.builder("bucketName").hasArg(true).required(false).build();
    commandLineOptions.addOption(bucketNameOption);
    Option gcsFileNameOption = Option.builder("fileName").hasArg(true).required(false).build();
    commandLineOptions.addOption(gcsFileNameOption);
    Option datasetIdOption = Option.builder("datasetId").hasArg(true).required(false).build();
    commandLineOptions.addOption(datasetIdOption);
    Option tableIdOption = Option.builder("tableId").hasArg(true).required(false).build();
    commandLineOptions.addOption(tableIdOption);
    Option projectIdOption = Option.builder("projectId").hasArg(true).required(false).build();
    commandLineOptions.addOption(projectIdOption);
    Option topicIdOption = Option.builder("topicId").hasArg(true).required(false).build();
    commandLineOptions.addOption(topicIdOption);
    Option subscriptionIdOption = Option.builder("subscriptionId").hasArg(true).required(false).build();
    commandLineOptions.addOption(subscriptionIdOption);
    Option datastoreNamespaceOption = Option.builder("namespace").hasArg(true).required(false).build();
    commandLineOptions.addOption(datastoreNamespaceOption);
    Option datastoreKindOption = Option.builder("kind").hasArg(true).required(false).build();
    commandLineOptions.addOption(datastoreKindOption);
    CommandLineParser parser = new DefaultParser();
    HelpFormatter formatter = new HelpFormatter();
    CommandLine cmd;
    try {
        cmd = parser.parse(commandLineOptions, args);
    } catch (ParseException e) {
        System.out.println(e.getMessage());
        formatter.printHelp(Inspect.class.getName(), commandLineOptions);
        System.exit(1);
        return;
    }
    Likelihood minLikelihood = Likelihood.valueOf(cmd.getOptionValue(minLikelihoodOption.getOpt(), Likelihood.LIKELIHOOD_UNSPECIFIED.name()));
    int maxFindings = Integer.parseInt(cmd.getOptionValue(maxFindingsOption.getOpt(), "0"));
    boolean includeQuote = Boolean.parseBoolean(cmd.getOptionValue(includeQuoteOption.getOpt(), "true"));
    String projectId = cmd.getOptionValue(projectIdOption.getOpt(), ServiceOptions.getDefaultProjectId());
    String topicId = cmd.getOptionValue(topicIdOption.getOpt());
    String subscriptionId = cmd.getOptionValue(subscriptionIdOption.getOpt());
    List<InfoType> infoTypesList = Collections.emptyList();
    if (cmd.hasOption(infoTypesOption.getOpt())) {
        infoTypesList = new ArrayList<>();
        String[] infoTypes = cmd.getOptionValues(infoTypesOption.getOpt());
        for (String infoType : infoTypes) {
            infoTypesList.add(InfoType.newBuilder().setName(infoType).build());
        }
    }
    // string inspection
    if (cmd.hasOption("s")) {
        String val = cmd.getOptionValue(stringOption.getOpt());
        inspectString(val, minLikelihood, maxFindings, infoTypesList, includeQuote, projectId);
    } else if (cmd.hasOption("f")) {
        String filePath = cmd.getOptionValue(fileOption.getOpt());
        inspectFile(filePath, minLikelihood, maxFindings, infoTypesList, includeQuote, projectId);
    // gcs file inspection
    } else if (cmd.hasOption("gcs")) {
        String bucketName = cmd.getOptionValue(bucketNameOption.getOpt());
        String fileName = cmd.getOptionValue(gcsFileNameOption.getOpt());
        inspectGcsFile(bucketName, fileName, minLikelihood, infoTypesList, maxFindings, topicId, subscriptionId, projectId);
    // datastore kind inspection
    } else if (cmd.hasOption("ds")) {
        String namespaceId = cmd.getOptionValue(datastoreNamespaceOption.getOpt(), "");
        String kind = cmd.getOptionValue(datastoreKindOption.getOpt());
        // use default project id when project id is not specified
        inspectDatastore(projectId, namespaceId, kind, minLikelihood, infoTypesList, maxFindings, topicId, subscriptionId);
    } else if (cmd.hasOption("bq")) {
        String datasetId = cmd.getOptionValue(datasetIdOption.getOpt());
        String tableId = cmd.getOptionValue(tableIdOption.getOpt());
        // use default project id when project id is not specified
        inspectBigquery(projectId, datasetId, tableId, minLikelihood, infoTypesList, maxFindings, topicId, subscriptionId);
    }
}

Example 2 with Likelihood

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

the class Inspect method inspectDatastore.

// [END dlp_inspect_gcs]
// [START dlp_inspect_datastore]
/**
 * Inspect a Datastore kind
 *
 * @param projectId The project ID containing the target Datastore
 * @param namespaceId The ID namespace of the Datastore document to inspect
 * @param kind The kind of the Datastore entity to inspect
 * @param minLikelihood The minimum likelihood required before returning a match
 * @param infoTypes The infoTypes of information to match
 * @param maxFindings max number of findings
 * @param topicId Google Cloud Pub/Sub topic to notify job status updates
 * @param subscriptionId Google Cloud Pub/Sub subscription to above topic to receive status
 *     updates
 */
private static void inspectDatastore(String projectId, String namespaceId, String kind, Likelihood minLikelihood, List<InfoType> infoTypes, int maxFindings, String topicId, String subscriptionId) {
    // Instantiates a client
    try (DlpServiceClient dlpServiceClient = DlpServiceClient.create()) {
        // Reference to the Datastore namespace
        PartitionId partitionId = PartitionId.newBuilder().setProjectId(projectId).setNamespaceId(namespaceId).build();
        // Reference to the Datastore kind
        KindExpression kindExpression = KindExpression.newBuilder().setName(kind).build();
        DatastoreOptions datastoreOptions = DatastoreOptions.newBuilder().setKind(kindExpression).setPartitionId(partitionId).build();
        // Construct Datastore configuration to be inspected
        StorageConfig storageConfig = StorageConfig.newBuilder().setDatastoreOptions(datastoreOptions).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();
        // Asynchronously 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.");
        }
    } catch (Exception e) {
        System.out.println("inspectDatastore Problems: " + e.getMessage());
    }
}

Example 3 with Likelihood

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

the class Inspect method inspectBigquery.

// [END dlp_inspect_datastore]
// [START dlp_inspect_bigquery]
/**
 * Inspect a BigQuery table
 *
 * @param projectId The project ID to run the API call under
 * @param datasetId The ID of the dataset to inspect, e.g. 'my_dataset'
 * @param tableId The ID of the table to inspect, e.g. 'my_table'
 * @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 Topic ID for pubsub.
 * @param subscriptionId Subscription ID for pubsub.
 */
private static void inspectBigquery(String projectId, String datasetId, String tableId, Likelihood minLikelihood, List<InfoType> infoTypes, int maxFindings, String topicId, String subscriptionId) {
    // Instantiates a client
    try (DlpServiceClient dlpServiceClient = DlpServiceClient.create()) {
        // Reference to the BigQuery table
        BigQueryTable tableReference = BigQueryTable.newBuilder().setProjectId(projectId).setDatasetId(datasetId).setTableId(tableId).build();
        BigQueryOptions bigQueryOptions = BigQueryOptions.newBuilder().setTableReference(tableReference).build();
        // Construct BigQuery configuration to be inspected
        StorageConfig storageConfig = StorageConfig.newBuilder().setBigQueryOptions(bigQueryOptions).build();
        FindingLimits findingLimits = FindingLimits.newBuilder().setMaxFindingsPerRequest(maxFindings).build();
        InspectConfig inspectConfig = InspectConfig.newBuilder().addAllInfoTypes(infoTypes).setMinLikelihood(minLikelihood).setLimits(findingLimits).build();
        ProjectTopicName topic = ProjectTopicName.of(projectId, topicId);
        Action.PublishToPubSub publishToPubSub = Action.PublishToPubSub.newBuilder().setTopic(topic.toString()).build();
        Action action = Action.newBuilder().setPubSub(publishToPubSub).build();
        InspectJobConfig inspectJobConfig = InspectJobConfig.newBuilder().setStorageConfig(storageConfig).setInspectConfig(inspectConfig).addActions(action).build();
        // Asynchronously 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());
        // Wait for job completion semi-synchronously
        // For long jobs, consider using a truly asynchronous execution model such as Cloud Functions
        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();
        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.");
        }
    } catch (Exception e) {
        System.out.println("inspectBigquery Problems: " + e.getMessage());
    }
}

Example 4 with Likelihood

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

the class Inspect method inspectString.

/**
 * [START dlp_inspect_string] Inspect a text for given InfoTypes
 *
 * @param string String to instpect
 * @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 inspectString(String string, Likelihood minLikelihood, int maxFindings, List<InfoType> infoTypes, boolean includeQuote, String projectId) {
    // instantiate a client
    try (DlpServiceClient dlpServiceClient = DlpServiceClient.create()) {
        FindingLimits findingLimits = FindingLimits.newBuilder().setMaxFindingsPerRequest(maxFindings).build();
        InspectConfig inspectConfig = InspectConfig.newBuilder().addAllInfoTypes(infoTypes).setMinLikelihood(minLikelihood).setLimits(findingLimits).setIncludeQuote(includeQuote).build();
        ByteContentItem byteContentItem = ByteContentItem.newBuilder().setType(ByteContentItem.BytesType.TEXT_UTF8).setData(ByteString.copyFromUtf8(string)).build();
        ContentItem contentItem = ContentItem.newBuilder().setByteItem(byteContentItem).build();
        InspectContentRequest request = InspectContentRequest.newBuilder().setParent(ProjectName.of(projectId).toString()).setInspectConfig(inspectConfig).setItem(contentItem).build();
        InspectContentResponse response = dlpServiceClient.inspectContent(request);
        if (response.getResult().getFindingsCount() > 0) {
            System.out.println("Findings: ");
            for (Finding finding : response.getResult().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 inspectString: " + e.getMessage());
    }
}

Example 5 with Likelihood

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

the class QuickStart method main.

/**
 * Quick start to DLP API : inspects a given string for an InfoType.
 */
public static void main(String[] args) throws Exception {
    // string to inspect
    String text = "His name was Robert Frost";
    // The minimum likelihood required before returning a match:
    // LIKELIHOOD_UNSPECIFIED, VERY_UNLIKELY, UNLIKELY, POSSIBLE, LIKELY, VERY_LIKELY, UNRECOGNIZED
    Likelihood minLikelihood = Likelihood.POSSIBLE;
    // The maximum number of findings to report (0 = server maximum)
    int maxFindings = 0;
    // The infoTypes of information to match
    List<InfoType> infoTypes = Arrays.asList(InfoType.newBuilder().setName("PERSON_NAME").build(), InfoType.newBuilder().setName("US_STATE").build());
    // Whether to include the matching string
    boolean includeQuote = true;
    // instantiate a client
    try (DlpServiceClient dlpServiceClient = DlpServiceClient.create()) {
        InspectConfig.FindingLimits findingLimits = InspectConfig.FindingLimits.newBuilder().setMaxFindingsPerItem(maxFindings).build();
        InspectConfig inspectConfig = InspectConfig.newBuilder().addAllInfoTypes(infoTypes).setMinLikelihood(minLikelihood).setLimits(findingLimits).setIncludeQuote(includeQuote).build();
        ByteContentItem byteContentItem = ByteContentItem.newBuilder().setType(ByteContentItem.BytesType.TEXT_UTF8).setData(ByteString.copyFromUtf8(text)).build();
        ContentItem contentItem = ContentItem.newBuilder().setByteItem(byteContentItem).build();
        String projectId = ServiceOptions.getDefaultProjectId();
        InspectContentRequest request = InspectContentRequest.newBuilder().setParent(ProjectName.of(projectId).toString()).setInspectConfig(inspectConfig).setItem(contentItem).build();
        // Inspect the text for info types
        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 inspectString: " + e.getMessage());
    }
}