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Example 6 with Value

use of org.neo4j.driver.v1.Value in project neo4j-apoc-procedures by neo4j-contrib.

the class Bolt method toRelationship.

private Object toRelationship(Object value, boolean virtual, Map<Long, Object> nodesCache) {
    Value internalValue = ((InternalEntity) value).asValue();
    Relationship relationship = internalValue.asRelationship();
    if (virtual) {
        VirtualNode start = (VirtualNode) nodesCache.getOrDefault(relationship.startNodeId(), new VirtualNode(relationship.startNodeId(), db));
        VirtualNode end = (VirtualNode) nodesCache.getOrDefault(relationship.endNodeId(), new VirtualNode(relationship.endNodeId(), db));
        VirtualRelationship virtualRelationship = new VirtualRelationship(relationship.id(), start, end, RelationshipType.withName(relationship.type()), relationship.asMap());
        return virtualRelationship;
    } else
        return Util.map("entityType", internalValue.type().name(), "type", relationship.type(), "id", relationship.id(), "start", relationship.startNodeId(), "end", relationship.endNodeId(), "properties", relationship.asMap());
}
Also used : VirtualRelationship(apoc.result.VirtualRelationship) InternalEntity(org.neo4j.driver.internal.InternalEntity) VirtualNode(apoc.result.VirtualNode) VirtualRelationship(apoc.result.VirtualRelationship) Relationship(org.neo4j.driver.v1.types.Relationship)

Example 7 with Value

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

the class SessionTransaction method getStrings.

public QueryResult<String> getStrings(final String statement, final Map<String, Object> map) {
    final long t0 = System.currentTimeMillis();
    try {
        final StatementResult result = tx.run(statement, map);
        final Record record = result.next();
        final Value value = record.get(0);
        return new QueryResult<String>() {

            @Override
            public void close() {
                result.consume();
            }

            @Override
            public Iterator<String> iterator() {
                return value.asList(Values.ofString()).iterator();
            }
        };
    } catch (TransientException tex) {
        closed = true;
        throw new RetryException(tex);
    } catch (NoSuchRecordException nex) {
        throw new NotFoundException(nex);
    } catch (ServiceUnavailableException ex) {
        throw new NetworkException(ex.getMessage(), ex);
    } finally {
        logQuery(statement, map, t0);
    }
}
Also used : StatementResult(org.neo4j.driver.v1.StatementResult) QueryResult(org.structr.api.QueryResult) TransientException(org.neo4j.driver.v1.exceptions.TransientException) Value(org.neo4j.driver.v1.Value) NotFoundException(org.structr.api.NotFoundException) Record(org.neo4j.driver.v1.Record) ServiceUnavailableException(org.neo4j.driver.v1.exceptions.ServiceUnavailableException) RetryException(org.structr.api.RetryException) NetworkException(org.structr.api.NetworkException) NoSuchRecordException(org.neo4j.driver.v1.exceptions.NoSuchRecordException)

Example 8 with Value

use of org.neo4j.driver.v1.Value in project xtext-core by eclipse.

the class ActionTestLanguage2SemanticSequencer method sequence.

@Override
public void sequence(ISerializationContext context, EObject semanticObject) {
    EPackage epackage = semanticObject.eClass().getEPackage();
    ParserRule rule = context.getParserRule();
    Action action = context.getAssignedAction();
    Set<Parameter> parameters = context.getEnabledBooleanParameters();
    if (epackage == ActionLang2Package.eINSTANCE)
        switch(semanticObject.eClass().getClassifierID()) {
            case ActionLang2Package.ORING:
                sequence_ORing(context, (ORing) semanticObject);
                return;
            case ActionLang2Package.VALUE:
                sequence_Value(context, (Value) semanticObject);
                return;
        }
    if (errorAcceptor != null)
        errorAcceptor.accept(diagnosticProvider.createInvalidContextOrTypeDiagnostic(semanticObject, context));
}
Also used : ParserRule(org.eclipse.xtext.ParserRule) Action(org.eclipse.xtext.Action) Value(org.eclipse.xtext.testlanguages.actionLang2.Value) Parameter(org.eclipse.xtext.Parameter) EPackage(org.eclipse.emf.ecore.EPackage) ORing(org.eclipse.xtext.testlanguages.actionLang2.ORing)

Example 9 with Value

use of org.neo4j.driver.v1.Value 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());
    }
}
Also used : Arrays(java.util.Arrays) TimeoutException(java.util.concurrent.TimeoutException) Subscriber(com.google.cloud.pubsub.v1.Subscriber) DefaultParser(org.apache.commons.cli.DefaultParser) KMapEstimationHistogramBucket(com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket) LDiversityEquivalenceClass(com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass) ValueFrequency(com.google.privacy.dlp.v2.ValueFrequency) LDiversityConfig(com.google.privacy.dlp.v2.PrivacyMetric.LDiversityConfig) NumericalStatsConfig(com.google.privacy.dlp.v2.PrivacyMetric.NumericalStatsConfig) Action(com.google.privacy.dlp.v2.Action) KMapEstimationConfig(com.google.privacy.dlp.v2.PrivacyMetric.KMapEstimationConfig) CategoricalStatsHistogramBucket(com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.CategoricalStatsResult.CategoricalStatsHistogramBucket) KAnonymityEquivalenceClass(com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KAnonymityResult.KAnonymityEquivalenceClass) Value(com.google.privacy.dlp.v2.Value) TaggedField(com.google.privacy.dlp.v2.PrivacyMetric.KMapEstimationConfig.TaggedField) RiskAnalysisJobConfig(com.google.privacy.dlp.v2.RiskAnalysisJobConfig) Collectors(java.util.stream.Collectors) SettableApiFuture(com.google.api.core.SettableApiFuture) List(java.util.List) KAnonymityResult(com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KAnonymityResult) ParseException(org.apache.commons.cli.ParseException) BigQueryTable(com.google.privacy.dlp.v2.BigQueryTable) ProjectSubscriptionName(com.google.pubsub.v1.ProjectSubscriptionName) AnalyzeDataSourceRiskDetails(com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails) Options(org.apache.commons.cli.Options) HelpFormatter(org.apache.commons.cli.HelpFormatter) CategoricalStatsConfig(com.google.privacy.dlp.v2.PrivacyMetric.CategoricalStatsConfig) ArrayList(java.util.ArrayList) ServiceOptions(com.google.cloud.ServiceOptions) CommandLine(org.apache.commons.cli.CommandLine) FieldId(com.google.privacy.dlp.v2.FieldId) ProjectTopicName(com.google.pubsub.v1.ProjectTopicName) Option(org.apache.commons.cli.Option) DlpServiceClient(com.google.cloud.dlp.v2.DlpServiceClient) Iterator(java.util.Iterator) CreateDlpJobRequest(com.google.privacy.dlp.v2.CreateDlpJobRequest) CommandLineParser(org.apache.commons.cli.CommandLineParser) KMapEstimationResult(com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult) KMapEstimationQuasiIdValues(com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationQuasiIdValues) InfoType(com.google.privacy.dlp.v2.InfoType) LDiversityResult(com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.LDiversityResult) KAnonymityConfig(com.google.privacy.dlp.v2.PrivacyMetric.KAnonymityConfig) TimeUnit(java.util.concurrent.TimeUnit) PublishToPubSub(com.google.privacy.dlp.v2.Action.PublishToPubSub) ProjectName(com.google.privacy.dlp.v2.ProjectName) GetDlpJobRequest(com.google.privacy.dlp.v2.GetDlpJobRequest) LDiversityHistogramBucket(com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityHistogramBucket) KAnonymityHistogramBucket(com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KAnonymityResult.KAnonymityHistogramBucket) PrivacyMetric(com.google.privacy.dlp.v2.PrivacyMetric) OptionGroup(org.apache.commons.cli.OptionGroup) DlpJob(com.google.privacy.dlp.v2.DlpJob) Collections(java.util.Collections) Action(com.google.privacy.dlp.v2.Action) RiskAnalysisJobConfig(com.google.privacy.dlp.v2.RiskAnalysisJobConfig) PrivacyMetric(com.google.privacy.dlp.v2.PrivacyMetric) CreateDlpJobRequest(com.google.privacy.dlp.v2.CreateDlpJobRequest) TimeoutException(java.util.concurrent.TimeoutException) ParseException(org.apache.commons.cli.ParseException) PublishToPubSub(com.google.privacy.dlp.v2.Action.PublishToPubSub) Subscriber(com.google.cloud.pubsub.v1.Subscriber) DlpServiceClient(com.google.cloud.dlp.v2.DlpServiceClient) BigQueryTable(com.google.privacy.dlp.v2.BigQueryTable) FieldId(com.google.privacy.dlp.v2.FieldId) Value(com.google.privacy.dlp.v2.Value) DlpJob(com.google.privacy.dlp.v2.DlpJob) AnalyzeDataSourceRiskDetails(com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails) NumericalStatsConfig(com.google.privacy.dlp.v2.PrivacyMetric.NumericalStatsConfig) TimeoutException(java.util.concurrent.TimeoutException)

Example 10 with Value

use of org.neo4j.driver.v1.Value in project rdf2neo by Rothamsted.

the class CypherHandlersIT method testRelations.

/**
 * Tests {@link CyRelationLoadingHandler} to see if relations are mapped from RDF and loaded into Neo4J.
 */
@Test
public void testRelations() throws Exception {
    try (Driver neoDriver = GraphDatabase.driver("bolt://127.0.0.1:7687", AuthTokens.basic("neo4j", "test"));
        CyRelationLoadingHandler handler = new CyRelationLoadingHandler();
        RdfDataManager rdfMgr = new RdfDataManager(RdfDataManagerTest.TDB_PATH);
        Neo4jDataManager neoMgr = new Neo4jDataManager(neoDriver)) {
        handler.setRdfDataManager(rdfMgr);
        handler.setNeo4jDataManager(neoMgr);
        handler.setRelationTypesSparql(RdfDataManagerTest.SPARQL_REL_TYPES);
        handler.setRelationPropsSparql(RdfDataManagerTest.SPARQL_REL_PROPS);
        Set<QuerySolution> relSparqlRows = new HashSet<>();
        Dataset dataSet = rdfMgr.getDataSet();
        Txn.executeRead(dataSet, () -> SparqlUtils.select(RdfDataManagerTest.SPARQL_REL_TYPES, rdfMgr.getDataSet().getDefaultModel()).forEachRemaining(row -> relSparqlRows.add(row)));
        handler.accept(relSparqlRows);
        Session session = neoDriver.session(AccessMode.READ);
        StatementResult cursor = session.run("MATCH ()-[r]->() RETURN COUNT ( r ) AS ct");
        Assert.assertEquals("Wrong count for relations", 3, cursor.next().get("ct").asLong());
        cursor = session.run("MATCH p = (:TestNode{ iri:$iri1 })-[:relatedTo]->(:TestNode{ iri:$iri2 }) RETURN COUNT ( p ) AS ct", parameters("iri1", iri("ex:1"), "iri2", iri("ex:2")));
        Assert.assertEquals("Wrong count for {1 relatedTo 2}!", 1, cursor.next().get("ct").asLong());
        cursor = session.run("MATCH p = (:SuperTestNode{ iri:$iri1 })-[:derivedFrom]->(:TestNode{ iri:$iri2 }) RETURN COUNT ( p ) AS ct", parameters("iri1", iri("ex:3"), "iri2", iri("ex:1")));
        Assert.assertEquals("Wrong count for {3 derivedFrom 1}!", 1, cursor.next().get("ct").asLong());
        cursor = session.run("MATCH (:TestNode{ iri:$iri1 })-[r:relatedTo]->(:AdditionalLabel{ iri:$iri2 }) RETURN r.note AS note", parameters("iri1", iri("ex:2"), "iri2", iri("ex:3")));
        assertTrue("{2 relatedTo 3} not found!", cursor.hasNext());
        Set<String> values = cursor.next().get("note").asList().stream().map(v -> (String) v).collect(Collectors.toSet());
        Set<String> refValues = new HashSet<>(Arrays.asList(new String[] { "Reified Relation", "Another Note" }));
        assertTrue("reified relation, wrong property value for 'note'!", Sets.difference(values, refValues).isEmpty());
    }
}
Also used : SparqlUtils(info.marcobrandizi.rdfutils.jena.SparqlUtils) Arrays(java.util.Arrays) Driver(org.neo4j.driver.v1.Driver) BeforeClass(org.junit.BeforeClass) AccessMode(org.neo4j.driver.v1.AccessMode) LoggerFactory(org.slf4j.LoggerFactory) HashSet(java.util.HashSet) QuerySolution(org.apache.jena.query.QuerySolution) Session(org.neo4j.driver.v1.Session) Txn(org.apache.jena.system.Txn) Values.parameters(org.neo4j.driver.v1.Values.parameters) Resource(org.apache.jena.rdf.model.Resource) Map(java.util.Map) GraphDatabase(org.neo4j.driver.v1.GraphDatabase) NamespaceUtils.iri(info.marcobrandizi.rdfutils.namespaces.NamespaceUtils.iri) Dataset(org.apache.jena.query.Dataset) Before(org.junit.Before) AfterClass(org.junit.AfterClass) Logger(org.slf4j.Logger) AuthTokens(org.neo4j.driver.v1.AuthTokens) Assert.assertTrue(org.junit.Assert.assertTrue) Set(java.util.Set) IOException(java.io.IOException) Test(org.junit.Test) Collectors(java.util.stream.Collectors) Sets(com.google.common.collect.Sets) Stream(java.util.stream.Stream) StatementResult(org.neo4j.driver.v1.StatementResult) Assert(org.junit.Assert) Assert.assertEquals(org.junit.Assert.assertEquals) StatementResult(org.neo4j.driver.v1.StatementResult) Dataset(org.apache.jena.query.Dataset) Driver(org.neo4j.driver.v1.Driver) QuerySolution(org.apache.jena.query.QuerySolution) HashSet(java.util.HashSet) Session(org.neo4j.driver.v1.Session) Test(org.junit.Test)

Aggregations

Value (com.google.privacy.dlp.v2.Value)5 Arrays (java.util.Arrays)5 Collectors (java.util.stream.Collectors)5 ServiceOptions (com.google.cloud.ServiceOptions)4 DlpServiceClient (com.google.cloud.dlp.v2.DlpServiceClient)4 FieldId (com.google.privacy.dlp.v2.FieldId)4 InfoType (com.google.privacy.dlp.v2.InfoType)4 ProjectName (com.google.privacy.dlp.v2.ProjectName)4 SettableApiFuture (com.google.api.core.SettableApiFuture)3 Subscriber (com.google.cloud.pubsub.v1.Subscriber)3 Action (com.google.privacy.dlp.v2.Action)3 PublishToPubSub (com.google.privacy.dlp.v2.Action.PublishToPubSub)3 AnalyzeDataSourceRiskDetails (com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails)3 CategoricalStatsHistogramBucket (com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.CategoricalStatsResult.CategoricalStatsHistogramBucket)3 KAnonymityResult (com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KAnonymityResult)3 KAnonymityEquivalenceClass (com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KAnonymityResult.KAnonymityEquivalenceClass)3 KAnonymityHistogramBucket (com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KAnonymityResult.KAnonymityHistogramBucket)3 KMapEstimationResult (com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult)3 KMapEstimationHistogramBucket (com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket)3 KMapEstimationQuasiIdValues (com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationQuasiIdValues)3