Add edge count backend call

grand/backends/_dataframe.py

@@ -120,11 +120,13 @@ def all_nodes_as_iterable(self, include_metadata: bool = False):
         if self._node_df is not None:
             return [
                 (
-                    node_id,
-                    row.to_dict(),
+                    (
+                        node_id,
+                        row.to_dict(),
+                    )
+                    if include_metadata
+                    else node_id
                 )
-                if include_metadata
-                else node_id
                 for node_id, row in self._node_df.iterrows()
             ]
 
@@ -287,14 +289,12 @@ def get_edge_by_id(self, u: Hashable, v: Hashable):
 
         """
         if self._directed:
-            return (
-                self._edge_df[
-                    (self._edge_df[self._edge_df_source_column] == u)
-                    & (self._edge_df[self._edge_df_target_column] == v)
-                ]
-                .iloc[0]
-                .to_dict()
-            )
+            result = self._edge_df[
+                (self._edge_df[self._edge_df_source_column] == u)
+                & (self._edge_df[self._edge_df_target_column] == v)
+            ]
+            if len(result):
+                return self._edge_as_dict(result.iloc[0])
 
         else:
             left = self._edge_df[
@@ -355,9 +355,11 @@ def get_node_neighbors(self, u: Hashable, include_metadata: bool = False):
         else:
             return iter(
                 [
-                    row[self._edge_df_source_column]
-                    if row[self._edge_df_source_column] != u
-                    else row[self._edge_df_target_column]
+                    (
+                        row[self._edge_df_source_column]
+                        if row[self._edge_df_source_column] != u
+                        else row[self._edge_df_target_column]
+                    )
                     for _, row in self._edge_df[
                         (self._edge_df[self._edge_df_source_column] == u)
                         | (self._edge_df[self._edge_df_target_column] == u)
@@ -430,9 +432,11 @@ def get_node_predecessors(self, u: Hashable, include_metadata: bool = False):
         else:
             return iter(
                 [
-                    row[self._edge_df_source_column]
-                    if row[self._edge_df_target_column] != u
-                    else row[self._edge_df_target_column]
+                    (
+                        row[self._edge_df_source_column]
+                        if row[self._edge_df_target_column] != u
+                        else row[self._edge_df_target_column]
+                    )
                     for _, row in self._edge_df[
                         (self._edge_df[self._edge_df_target_column] == u)
                         | (self._edge_df[self._edge_df_source_column] == u)
@@ -460,6 +464,19 @@ def get_node_count(self) -> int:
             )
         )
 
+    def get_edge_count(self) -> int:
+        """
+        Get an integer count of the number of edges in this graph.
+
+        Arguments:
+            None
+
+        Returns:
+            int: The count of edges
+
+        """
+        return len(self._edge_df)
+
     def ingest_from_edgelist_dataframe(
         self, edgelist: pd.DataFrame, source_column: str, target_column: str
     ) -> dict:

grand/backends/_dynamodb.py

@@ -191,11 +191,13 @@ def all_nodes_as_iterable(self, include_metadata: bool = False) -> Collection:
         """
         return [
             (
-                node[self._primary_key],
-                {k: v for k, v in node.items() if k not in [self._primary_key]},
+                (
+                    node[self._primary_key],
+                    {k: v for k, v in node.items() if k not in [self._primary_key]},
+                )
+                if include_metadata
+                else node[self._primary_key]
             )
-            if include_metadata
-            else node[self._primary_key]
             for node in self._scan_table(self._node_table)
         ]
 
@@ -264,9 +266,11 @@ def all_edges_as_iterable(self, include_metadata: bool = False) -> Collection:
 
         """
         return [
-            (edge[self._edge_source_key], edge[self._edge_target_key], edge)
-            if include_metadata
-            else (edge[self._edge_source_key], edge[self._edge_target_key])
+            (
+                (edge[self._edge_source_key], edge[self._edge_target_key], edge)
+                if include_metadata
+                else (edge[self._edge_source_key], edge[self._edge_target_key])
+            )
             for edge in self._scan_table(self._edge_table)
         ]
 
@@ -435,6 +439,21 @@ def get_node_count(self) -> int:
             "ItemCount"
         ]
 
+    def get_edge_count(self) -> int:
+        """
+        Get an integer count of the number of edges in this graph.
+
+        Arguments:
+            None
+
+        Returns:
+            int: The count of edges
+
+        """
+        return self._client.describe_table(TableName=self._edge_table_name)["Table"][
+            "ItemCount"
+        ]
+
     # Ingesting
 
     def ingest_from_edgelist_dataframe(

grand/backends/_gremlin.py

@@ -314,5 +314,18 @@ def get_node_count(self) -> int:
         """
         return self._g.V().count().toList()[0]
 
+    def get_edge_count(self) -> int:
+        """
+        Get an integer count of the number of edges in this graph.
+
+        Arguments:
+            None
+
+        Returns:
+            int: The count of edges
+
+        """
+        return self._g.E().count().toList()[0]
+
     def teardown(self) -> None:
         self._g.V().drop().toList()

grand/backends/_igraph.py

@@ -258,3 +258,16 @@ def get_node_count(self) -> int:
 
         """
         return self._ig.vcount()
+
+    def get_edge_count(self) -> int:
+        """
+        Get an integer count of the number of edges in this graph.
+
+        Arguments:
+            None
+
+        Returns:
+            int: The count of edges
+
+        """
+        return self._ig.ecount()

grand/backends/_networkit.py

@@ -281,7 +281,7 @@ def get_node_predecessors(
             [self._names.get_name(i) for i in self._nk_graph.iterInNeighbors(my_id)]
         )
 
-    def get_node_count(self) -> Iterable:
+    def get_node_count(self) -> int:
         """
         Get an integer count of the number of nodes in this graph.
 
@@ -292,4 +292,17 @@ def get_node_count(self) -> Iterable:
             int: The count of nodes
 
         """
-        return len([i for i in self.all_nodes_as_iterable()])
+        return self._nk_graph.numberOfNodes()
+
+    def get_edge_count(self) -> int:
+        """
+        Get an integer count of the number of edges in this graph.
+
+        Arguments:
+            None
+
+        Returns:
+            int: The count of edges
+
+        """
+        return self._nk_graph.numberOfEdges()

grand/backends/_networkx.py

@@ -168,6 +168,19 @@ def get_node_count(self) -> int:
         """
         return len(self._nx_graph)
 
+    def get_edge_count(self) -> int:
+        """
+        Get an integer count of the number of edges in this graph.
+
+        Arguments:
+            None
+
+        Returns:
+            int: The count of edges
+
+        """
+        return len(self._nx_graph.edges)
+
     def ingest_from_edgelist_dataframe(
         self, edgelist: pd.DataFrame, source_column: str, target_column: str
     ) -> dict:
@@ -200,6 +213,3 @@ def ingest_from_edgelist_dataframe(
             "edge_count": len(edgelist),
             "edge_duration": time.time() - tic,
         }
-
-    def teardown(self) -> None:
-        return