Running time slicing also if there was no clustering

Just assume one large cluster for all nodes for that layer

src/data-hub/community-detection-microservice/app/db/repository.py

@@ -97,7 +97,7 @@ class Repository(MongoRepositoryBase):
         super().insert_many(self._layer_nodes_collection, nodes)
 
     def get_layer_nodes(self, layer_name: str) -> dict:
-        '''Returns from json'''
+        '''Returns all nodes for the layer.'''
         entries = super().get_entries(self._layer_nodes_collection, selection={'layer_name': layer_name}, projection={'_id': 0})
         return [e for e in entries]
 

src/data-hub/community-detection-microservice/app/run_time_slicing.py

@@ -59,7 +59,12 @@ if __name__ == "__main__":
     for layer in layers:
         layer_name = layer.layer_name
         print(f"Working on {layer_name}")
+
         clusters_for_layer = repo.get_clusters_for_layer(layer_name)
+        # if no clusters were generated use one large cluster instead of skipping the layer
+        if clusters_for_layer is None or len(clusters_for_layer) == 0:
+            clusters_for_layer = [Cluster(layer_name, -1, repo.get_layer_nodes(layer_name))]
+
         time_slices = split_clusterset_by_time(layer_name, clusters_for_layer)
 
         for k,v in time_slices.items():