Add lcc in compute facade

Author: IoannisPanagiotas

algo/src/main/java/org/neo4j/gds/triangle/LocalClusteringCoefficientResult.java

@@ -24,4 +24,7 @@
 public record LocalClusteringCoefficientResult(
         HugeDoubleArray localClusteringCoefficients,
         double averageClusteringCoefficient
-    ){}
+    ){
+
+    public static LocalClusteringCoefficientResult EMPTY = new LocalClusteringCoefficientResult(HugeDoubleArray.newArray(0), 0D);
+}

algorithms-compute-facade/src/main/java/org/neo4j/gds/community/CommunityComputeFacade.java

@@ -52,6 +52,9 @@
 import org.neo4j.gds.labelpropagation.LabelPropagationResult;
 import org.neo4j.gds.result.TimedAlgorithmResult;
 import org.neo4j.gds.termination.TerminationFlag;
+import org.neo4j.gds.triangle.LocalClusteringCoefficient;
+import org.neo4j.gds.triangle.LocalClusteringCoefficientParameters;
+import org.neo4j.gds.triangle.LocalClusteringCoefficientResult;
 
 import java.util.concurrent.CompletableFuture;
 
@@ -336,4 +339,38 @@ CompletableFuture<TimedAlgorithmResult<LabelPropagationResult>> labelPropagation
         );
     }
 
+    CompletableFuture<TimedAlgorithmResult<LocalClusteringCoefficientResult>> lcc(
+        Graph graph,
+        LocalClusteringCoefficientParameters parameters,
+        JobId jobId,
+        boolean logProgress
+    ) {
+
+        if (graph.isEmpty()) {
+            return CompletableFuture.completedFuture(TimedAlgorithmResult.empty(LocalClusteringCoefficientResult.EMPTY));
+        }
+
+        var progressTracker = progressTrackerFactory.create(
+            tasks.lcc(graph,parameters),
+            jobId,
+            parameters.concurrency(),
+            logProgress
+        );
+
+        var algorithm = new LocalClusteringCoefficient(
+            graph,
+            parameters.concurrency(),
+            parameters.maxDegree(),
+            parameters.seedProperty(),
+            progressTracker,
+            terminationFlag
+        );
+
+        return algorithmCaller.run(
+            algorithm::compute,
+            jobId
+        );
+    }
+
+
 }

algorithms-compute-facade/src/test/java/org/neo4j/gds/community/CommunityComputeFacadeEmptyGraphTest.java

@@ -44,6 +44,8 @@
 import org.neo4j.gds.labelpropagation.LabelPropagationParameters;
 import org.neo4j.gds.labelpropagation.LabelPropagationResult;
 import org.neo4j.gds.termination.TerminationFlag;
+import org.neo4j.gds.triangle.LocalClusteringCoefficientParameters;
+import org.neo4j.gds.triangle.LocalClusteringCoefficientResult;
 
 import static org.assertj.core.api.Assertions.assertThat;
 import static org.mockito.Mockito.mock;
@@ -211,4 +213,21 @@ void labelPropagation(){
         verifyNoInteractions(progressTrackerFactoryMock);
         verifyNoInteractions(algorithmCallerMock);
     }
+
+    @Test
+    void lcc(){
+
+        var future = facade.lcc(
+            graph,
+            mock(LocalClusteringCoefficientParameters.class),
+            jobIdMock,
+            false
+        );
+
+        var results = future.join();
+
+        assertThat(results.result()).isEqualTo(LocalClusteringCoefficientResult.EMPTY);
+        verifyNoInteractions(progressTrackerFactoryMock);
+        verifyNoInteractions(algorithmCallerMock);
+    }
 }

algorithms-compute-facade/src/test/java/org/neo4j/gds/community/CommunityComputeFacadeTest.java

@@ -47,6 +47,7 @@
 import org.neo4j.gds.labelpropagation.LabelPropagationParameters;
 import org.neo4j.gds.logging.Log;
 import org.neo4j.gds.termination.TerminationFlag;
+import org.neo4j.gds.triangle.LocalClusteringCoefficientParameters;
 
 import java.util.List;
 import java.util.Optional;
@@ -268,4 +269,23 @@ void labelPropagation(){
         assertThat(results.computeMillis()).isNotNegative();
     }
 
+    @Test
+    void lcc(){
+        var future = facade.lcc(
+            graph,
+            new LocalClusteringCoefficientParameters(
+                new Concurrency(4),
+                100,
+                null
+            ),
+            jobIdMock,
+            false
+        );
+
+        var results = future.join();
+
+        assertThat(results.result().averageClusteringCoefficient()).isGreaterThan(0d);
+        assertThat(results.computeMillis()).isNotNegative();
+    }
+
 }