Examples with Value org.neo4j.driver.v1.Value used on opensource projects

Example 1 with Value

use of org.neo4j.driver.v1.Value in project neo4j by neo4j.

the class ProcedureTest method calls_simplistic_procedure.

@Test
public void calls_simplistic_procedure() {
    try (Driver driver = GraphDatabase.driver(graphDb.boltURI(), configuration());
        Session session = driver.session()) {
        StatementResult result = session.run("CALL " + procedureNamespace + ".theAnswer()");
        assertThat(result.single().get("value").asLong()).isEqualTo(42L);
    }
}

Example 2 with Value

use of org.neo4j.driver.v1.Value in project java-docs-samples by GoogleCloudPlatform.

the class DeIdentification method deidentifyWithDateShift.

// [END dlp_reidentify_fpe]
// [START dlp_deidentify_date_shift]
/**
 * @param inputCsvPath The path to the CSV file to deidentify
 * @param outputCsvPath (Optional) path to the output CSV file
 * @param dateFields The list of (date) fields in the CSV file to date shift
 * @param lowerBoundDays The maximum number of days to shift a date backward
 * @param upperBoundDays The maximum number of days to shift a date forward
 * @param contextFieldId (Optional) The column to determine date shift, default : a random shift
 *     amount
 * @param wrappedKey (Optional) The encrypted ('wrapped') AES-256 key to use when shifting dates
 * @param keyName (Optional) The name of the Cloud KMS key used to encrypt ('wrap') the AES-256
 *     key
 * @param projectId ID of Google Cloud project to run the API under.
 */
private static void deidentifyWithDateShift(Path inputCsvPath, Path outputCsvPath, String[] dateFields, int lowerBoundDays, int upperBoundDays, String contextFieldId, String wrappedKey, String keyName, String projectId) throws Exception {
    // instantiate a client
    try (DlpServiceClient dlpServiceClient = DlpServiceClient.create()) {
        // Set the maximum days to shift a day backward (lowerbound), forward (upperbound)
        DateShiftConfig.Builder dateShiftConfigBuilder = DateShiftConfig.newBuilder().setLowerBoundDays(lowerBoundDays).setUpperBoundDays(upperBoundDays);
        // If contextFieldId, keyName or wrappedKey is set: all three arguments must be valid
        if (contextFieldId != null && keyName != null && wrappedKey != null) {
            dateShiftConfigBuilder.setContext(FieldId.newBuilder().setName(contextFieldId).build());
            KmsWrappedCryptoKey kmsWrappedCryptoKey = KmsWrappedCryptoKey.newBuilder().setCryptoKeyName(keyName).setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedKey))).build();
            dateShiftConfigBuilder.setCryptoKey(CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build());
        } else if (contextFieldId != null || keyName != null || wrappedKey != null) {
            throw new IllegalArgumentException("You must set either ALL or NONE of {contextFieldId, keyName, wrappedKey}!");
        }
        // Read and parse the CSV file
        BufferedReader br = null;
        String line;
        List<Table.Row> rows = new ArrayList<>();
        List<FieldId> headers;
        br = new BufferedReader(new FileReader(inputCsvPath.toFile()));
        // convert csv header to FieldId
        headers = Arrays.stream(br.readLine().split(",")).map(header -> FieldId.newBuilder().setName(header).build()).collect(Collectors.toList());
        while ((line = br.readLine()) != null) {
            // convert csv rows to Table.Row
            rows.add(convertCsvRowToTableRow(line));
        }
        br.close();
        Table table = Table.newBuilder().addAllHeaders(headers).addAllRows(rows).build();
        List<FieldId> dateFieldIds = Arrays.stream(dateFields).map(field -> FieldId.newBuilder().setName(field).build()).collect(Collectors.toList());
        DateShiftConfig dateShiftConfig = dateShiftConfigBuilder.build();
        FieldTransformation fieldTransformation = FieldTransformation.newBuilder().addAllFields(dateFieldIds).setPrimitiveTransformation(PrimitiveTransformation.newBuilder().setDateShiftConfig(dateShiftConfig).build()).build();
        DeidentifyConfig deidentifyConfig = DeidentifyConfig.newBuilder().setRecordTransformations(RecordTransformations.newBuilder().addFieldTransformations(fieldTransformation).build()).build();
        ContentItem tableItem = ContentItem.newBuilder().setTable(table).build();
        DeidentifyContentRequest request = DeidentifyContentRequest.newBuilder().setParent(ProjectName.of(projectId).toString()).setDeidentifyConfig(deidentifyConfig).setItem(tableItem).build();
        // Execute the deidentification request
        DeidentifyContentResponse response = dlpServiceClient.deidentifyContent(request);
        // Write out the response as a CSV file
        List<FieldId> outputHeaderFields = response.getItem().getTable().getHeadersList();
        List<Table.Row> outputRows = response.getItem().getTable().getRowsList();
        List<String> outputHeaders = outputHeaderFields.stream().map(FieldId::getName).collect(Collectors.toList());
        File outputFile = outputCsvPath.toFile();
        if (!outputFile.exists()) {
            outputFile.createNewFile();
        }
        BufferedWriter bufferedWriter = new BufferedWriter(new FileWriter(outputFile));
        // write out headers
        bufferedWriter.append(String.join(",", outputHeaders) + "\n");
        // write out each row
        for (Table.Row outputRow : outputRows) {
            String row = outputRow.getValuesList().stream().map(value -> value.getStringValue()).collect(Collectors.joining(","));
            bufferedWriter.append(row + "\n");
        }
        bufferedWriter.flush();
        bufferedWriter.close();
        System.out.println("Successfully saved date-shift output to: " + outputCsvPath.getFileName());
    } catch (Exception e) {
        System.out.println("Error in deidentifyWithDateShift: " + e.getMessage());
    }
}

Example 3 with Value

use of org.neo4j.driver.v1.Value in project java-docs-samples by GoogleCloudPlatform.

the class DeIdentification method convertCsvRowToTableRow.

// convert CSV row into Table.Row
private static Table.Row convertCsvRowToTableRow(String row) {
    String[] values = row.split(",");
    Table.Row.Builder tableRowBuilder = Table.Row.newBuilder();
    for (String value : values) {
        LocalDate date = getValidDate(value);
        if (date != null) {
            // convert to com.google.type.Date
            Date dateValue = Date.newBuilder().setYear(date.getYear()).setMonth(date.getMonthValue()).setDay(date.getDayOfMonth()).build();
            Value tableValue = Value.newBuilder().setDateValue(dateValue).build();
            tableRowBuilder.addValues(tableValue);
        } else {
            tableRowBuilder.addValues(Value.newBuilder().setStringValue(value).build());
        }
    }
    return tableRowBuilder.build();
}

Example 4 with Value

use of org.neo4j.driver.v1.Value in project java-docs-samples by GoogleCloudPlatform.

the class RiskAnalysis method categoricalStatsAnalysis.

// [END dlp_numerical_stats]
// [START dlp_categorical_stats]
/**
 * Calculate categorical 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 need not contain 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 categoricalStatsAnalysis(String projectId, String datasetId, String tableId, String columnName, String topicId, String subscriptionId) {
    // Instantiates a client
    try (DlpServiceClient dlpServiceClient = DlpServiceClient.create()) {
        FieldId fieldId = FieldId.newBuilder().setName(columnName).build();
        CategoricalStatsConfig categoricalStatsConfig = CategoricalStatsConfig.newBuilder().setField(fieldId).build();
        BigQueryTable bigQueryTable = BigQueryTable.newBuilder().setProjectId(projectId).setDatasetId(datasetId).setTableId(tableId).build();
        PrivacyMetric privacyMetric = PrivacyMetric.newBuilder().setCategoricalStatsConfig(categoricalStatsConfig).build();
        ProjectTopicName topicName = ProjectTopicName.of(projectId, topicId);
        PublishToPubSub publishToPubSub = PublishToPubSub.newBuilder().setTopic(topicName.toString()).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.CategoricalStatsResult result = riskDetails.getCategoricalStatsResult();
        for (CategoricalStatsHistogramBucket bucket : result.getValueFrequencyHistogramBucketsList()) {
            System.out.printf("Most common value occurs %d time(s).\n", bucket.getValueFrequencyUpperBound());
            System.out.printf("Least common value occurs %d time(s).\n", bucket.getValueFrequencyLowerBound());
            for (ValueFrequency valueFrequency : bucket.getBucketValuesList()) {
                System.out.printf("Value %s occurs %d time(s).\n", valueFrequency.getValue().toString(), valueFrequency.getCount());
            }
        }
    } catch (Exception e) {
        System.out.println("Error in categoricalStatsAnalysis: " + e.getMessage());
    }
}

Example 5 with Value

use of org.neo4j.driver.v1.Value in project java-docs-samples by GoogleCloudPlatform.

the class RiskAnalysis method calculateLDiversity.

// [END dlp_k_anonymity]
// [START dlp_l_diversity]
/**
 * Calculate l-diversity for an attribute relative to quasi-identifiers in a BigQuery table.
 *
 * @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 sensitiveAttribute The name of the attribute to compare the quasi-ID against
 * @param quasiIds A set of column names 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 calculateLDiversity(String projectId, String datasetId, String tableId, String sensitiveAttribute, List<String> quasiIds, String topicId, String subscriptionId) throws Exception {
    // Instantiates a client
    try (DlpServiceClient dlpServiceClient = DlpServiceClient.create()) {
        FieldId sensitiveAttributeField = FieldId.newBuilder().setName(sensitiveAttribute).build();
        List<FieldId> quasiIdFields = quasiIds.stream().map(columnName -> FieldId.newBuilder().setName(columnName).build()).collect(Collectors.toList());
        LDiversityConfig ldiversityConfig = LDiversityConfig.newBuilder().addAllQuasiIds(quasiIdFields).setSensitiveAttribute(sensitiveAttributeField).build();
        BigQueryTable bigQueryTable = BigQueryTable.newBuilder().setProjectId(projectId).setDatasetId(datasetId).setTableId(tableId).build();
        PrivacyMetric privacyMetric = PrivacyMetric.newBuilder().setLDiversityConfig(ldiversityConfig).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();
        LDiversityResult ldiversityResult = riskDetails.getLDiversityResult();
        for (LDiversityHistogramBucket result : ldiversityResult.getSensitiveValueFrequencyHistogramBucketsList()) {
            for (LDiversityEquivalenceClass bucket : result.getBucketValuesList()) {
                List<String> quasiIdValues = bucket.getQuasiIdsValuesList().stream().map(Value::toString).collect(Collectors.toList());
                System.out.println("\tQuasi-ID values: " + String.join(", ", quasiIdValues));
                System.out.println("\tClass size: " + bucket.getEquivalenceClassSize());
                for (ValueFrequency valueFrequency : bucket.getTopSensitiveValuesList()) {
                    System.out.printf("\t\tSensitive value %s occurs %d time(s).\n", valueFrequency.getValue().toString(), valueFrequency.getCount());
                }
            }
        }
    } catch (Exception e) {
        System.out.println("Error in calculateLDiversity: " + e.getMessage());
    }
}