nxadb_to_nx cleanup

nx_arangodb/algorithms/shortest_paths/generic.py

@@ -14,7 +14,7 @@
     extra_params=_dtype_param, version_added="24.04", _plc={"bfs", "sssp"}
 )
 def shortest_path(
-    G: nxadb.Graph | nxadb.DiGraph,
+    G: nxadb.Graph,
     source=None,
     target=None,
     weight=None,

nx_arangodb/classes/dict/adj.py

@@ -1551,7 +1551,7 @@ def propagate_edge_directed_symmetric(
 
         propagate_edge_func = (
             propagate_edge_directed_symmetric
-            if self.is_directed and self.symmetrize_edges_if_directed
+            if self.symmetrize_edges_if_directed
             else (
                 propagate_edge_directed
                 if self.is_directed
@@ -1606,8 +1606,7 @@ def set_edge_multigraph(
             load_all_edge_attributes=True,
             is_directed=self.is_directed,
             is_multigraph=self.is_multigraph,
-            symmetrize_edges_if_directed=self.is_directed
-            and self.symmetrize_edges_if_directed,
+            symmetrize_edges_if_directed=self.symmetrize_edges_if_directed,
         )
 
         if self.is_directed:

nx_arangodb/classes/graph.py

@@ -432,27 +432,28 @@ def add_node(self, node_for_adding, **attr):
         nx._clear_cache(self)
 
     def number_of_edges(self, u=None, v=None):
-        if u is None:
-            ######################
-            # NOTE: monkey patch #
-            ######################
+        if not self.graph_exists_in_db:
+            return super().number_of_edges(u, v)
 
-            # Old:
-            # return int(self.size())
+        if u is not None:
+            return super().number_of_edges(u, v)
 
-            # New:
-            edge_collections = {
-                e_d["edge_collection"] for e_d in self.adb_graph.edge_definitions()
-            }
-            num = sum(
-                self.adb_graph.edge_collection(e).count() for e in edge_collections
-            )
-            num *= 2 if self.is_directed() and self.symmetrize_edges else 1
+        ######################
+        # NOTE: monkey patch #
+        ######################
 
-            return num
+        # Old:
+        # return int(self.size())
 
-            # Reason:
-            # It is more efficient to count the number of edges in the edge collections
-            # compared to relying on the DegreeView.
+        # New:
+        edge_collections = {
+            e_d["edge_collection"] for e_d in self.adb_graph.edge_definitions()
+        }
+        num = sum(self.adb_graph.edge_collection(e).count() for e in edge_collections)
+        num *= 2 if self.is_directed() and self.symmetrize_edges else 1
+
+        return num
 
-        super().number_of_edges(u, v)
+        # Reason:
+        # It is more efficient to count the number of edges in the edge collections
+        # compared to relying on the DegreeView.

nx_arangodb/classes/multigraph.py

@@ -50,9 +50,6 @@ def __init__(
             **kwargs,
         )
 
-        if self._graph_exists_in_db:
-            self.add_edge = self.add_edge_keyless
-
     #######################
     # Init helper methods #
     #######################
@@ -71,7 +68,10 @@ def _set_factory_methods(self) -> None:
     # nx.MultiGraph Overides #
     ##########################
 
-    def add_edge_keyless(self, u_for_edge, v_for_edge, key=None, **attr):
+    def add_edge(self, u_for_edge, v_for_edge, key=None, **attr):
+        if not self.graph_exists_in_db:
+            return super().add_edge(u_for_edge, v_for_edge, key=key, **attr)
+
         if key is not None:
             m = "ArangoDB MultiGraph does not support custom edge keys yet."
             logger.warning(m)

nx_arangodb/convert.py

@@ -6,6 +6,8 @@
 import networkx as nx
 
 import nx_arangodb as nxadb
+from nx_arangodb.classes.dict.adj import AdjListOuterDict
+from nx_arangodb.classes.dict.node import NodeDict
 from nx_arangodb.classes.function import do_load_all_edge_attributes
 from nx_arangodb.logger import logger
 
@@ -30,7 +32,7 @@
 def _to_nx_graph(G: Any, *args: Any, **kwargs: Any) -> nx.Graph:
     logger.debug(f"_to_nx_graph for {G.__class__.__name__}")
 
-    if isinstance(G, nxadb.Graph | nxadb.DiGraph):
+    if isinstance(G, nxadb.Graph):
         return nxadb_to_nx(G)
 
     if isinstance(G, nx.Graph):
@@ -109,16 +111,14 @@ def nx_to_nxadb(
 
 def nxadb_to_nx(G: nxadb.Graph) -> nx.Graph:
     if not G.graph_exists_in_db:
-        logger.debug("graph does not exist, nothing to pull")
-        # TODO: Consider just returning G here?
-        # Avoids the need to re-create the graph from scratch
-        return G.to_networkx_class()(incoming_graph_data=G)
+        # Since nxadb.Graph is a subclass of nx.Graph, we can return it as is.
+        # This only applies if the graph does not exist in the database.
+        return G
 
-    # TODO: Re-enable this
-    # if G.use_nx_cache and G._node and G._adj:
-    #     m = "**use_nx_cache** is enabled. using cached data. no pull required."
-    #     logger.debug(m)
-    #     return G
+    assert isinstance(G._node, NodeDict)
+    assert isinstance(G._adj, AdjListOuterDict)
+    if G._node.FETCHED_ALL_DATA and G._adj.FETCHED_ALL_DATA:
+        return G
 
     start_time = time.time()
 
@@ -137,11 +137,22 @@ def nxadb_to_nx(G: nxadb.Graph) -> nx.Graph:
 
     print(f"Graph '{G.adb_graph.name}' load took {time.time() - start_time}s")
 
-    G_NX: nx.Graph | nx.DiGraph = G.to_networkx_class()()
+    # NOTE: At this point, we _could_ choose to implement something similar to
+    # NodeDict._fetch_all() and AdjListOuterDict._fetch_all() to iterate through
+    # **node_dict** and **adj_dict**, and establish the "custom" Dictionary classes
+    # that we've implemented in nx_arangodb.classes.dict.
+    # However, this would involve adding additional for-loops and would likely be
+    # slower than the current implementation.
+    # Perhaps we should consider adding a feature flag to allow users to choose
+    # between the two methods? e.g `build_remote_dicts=True/False`
+    # If True, then we would return the (updated) nxadb.Graph that was passed in.
+    # If False, then we would return the nx.Graph that is built below:
+
+    G_NX: nx.Graph = G.to_networkx_class()()
     G_NX._node = node_dict
 
     if isinstance(G_NX, nx.DiGraph):
-        G_NX._succ = G._adj = adj_dict["succ"]
+        G_NX._succ = G_NX._adj = adj_dict["succ"]
         G_NX._pred = adj_dict["pred"]
 
     else:

tests/conftest.py

@@ -8,6 +8,7 @@
 from arango import ArangoClient
 from arango.database import StandardDatabase
 
+import nx_arangodb as nxadb
 from nx_arangodb.logger import logger
 
 logger.setLevel(logging.INFO)
@@ -85,3 +86,17 @@ def load_two_relation_graph() -> None:
     g.create_edge_definition(
         e2, from_vertex_collections=[v2], to_vertex_collections=[v1]
     )
+
+
+def create_line_graph(load_attributes: set[str]) -> nxadb.Graph:
+    G = nx.Graph()
+    G.add_edge(1, 2, my_custom_weight=1)
+    G.add_edge(2, 3, my_custom_weight=1)
+    G.add_edge(3, 4, my_custom_weight=1000)
+    G.add_edge(4, 5, my_custom_weight=1000)
+
+    return nxadb.Graph(
+        incoming_graph_data=G,
+        graph_name="LineGraph",
+        edge_collections_attributes=load_attributes,
+    )

tests/test.py

@@ -1,33 +1,22 @@
 from typing import Any, Callable, Dict
 
 import networkx as nx
+import phenolrs
 import pytest
 from arango import DocumentDeleteError
 
 import nx_arangodb as nxadb
-from nx_arangodb.classes.dict.adj import EdgeAttrDict
-from nx_arangodb.classes.dict.node import NodeAttrDict
+from nx_arangodb.classes.dict.adj import AdjListOuterDict, EdgeAttrDict
+from nx_arangodb.classes.dict.node import NodeAttrDict, NodeDict
 
-from .conftest import db
+from .conftest import create_line_graph, db
 
 G_NX = nx.karate_club_graph()
 
 
-def create_line_graph(load_attributes: set[str]) -> nxadb.Graph:
-    G = nx.Graph()
-    G.add_edge(1, 2, my_custom_weight=1)
-    G.add_edge(2, 3, my_custom_weight=1)
-    G.add_edge(3, 4, my_custom_weight=1000)
-    G.add_edge(4, 5, my_custom_weight=1000)
-
-    if load_attributes:
-        return nxadb.Graph(
-            incoming_graph_data=G,
-            graph_name="LineGraph",
-            edge_collections_attributes=load_attributes,
-        )
-
-    return nxadb.Graph(incoming_graph_data=G, graph_name="LineGraph")
+def assert_remote_dict(G: nxadb.Graph) -> None:
+    assert isinstance(G._node, NodeDict)
+    assert isinstance(G._adj, AdjListOuterDict)
 
 
 def assert_same_dict_values(
@@ -162,18 +151,35 @@ def test_load_graph_with_non_default_weight_attribute():
 
 
 @pytest.mark.parametrize(
-    "algorithm_func, assert_func",
+    "algorithm_func, assert_func, affected_by_symmetry",
     [
-        (nx.betweenness_centrality, assert_bc),
-        (nx.pagerank, assert_pagerank),
-        (nx.community.louvain_communities, assert_louvain),
+        (nx.betweenness_centrality, assert_bc, True),
+        (nx.pagerank, assert_pagerank, False),
     ],
 )
 def test_algorithm(
     algorithm_func: Callable[..., Any],
     assert_func: Callable[..., Any],
+    affected_by_symmetry: bool,
     load_karate_graph: Any,
 ) -> None:
+    def assert_func_should_fail(
+        r1: dict[str | int, float], r2: dict[str | int, float]
+    ) -> None:
+        assert r1 != r2
+        assert len(r1) == len(r2)
+        with pytest.raises(AssertionError):
+            assert_func(r1, r2)
+
+    def assert_symmetry_differences(
+        r1: dict[str | int, float], r2: dict[str | int, float], should_be_equal: bool
+    ) -> None:
+        if should_be_equal:
+            assert_func(r1, r2)
+            return
+
+        assert_func_should_fail(r1, r2)
+
     G_1 = G_NX
     G_2 = nxadb.Graph(incoming_graph_data=G_1)
     G_3 = nxadb.Graph(graph_name="KarateGraph")
@@ -183,6 +189,9 @@ def test_algorithm(
     G_7 = nxadb.MultiDiGraph(graph_name="KarateGraph", symmetrize_edges=True)
     G_8 = nxadb.MultiDiGraph(graph_name="KarateGraph", symmetrize_edges=False)
 
+    for G in [G_3, G_4, G_5, G_6, G_7, G_8]:
+        assert_remote_dict(G)
+
     r_1 = algorithm_func(G_1)
     r_2 = algorithm_func(G_2)
     r_3 = algorithm_func(G_1, backend="arangodb")
@@ -193,51 +202,74 @@ def test_algorithm(
     assert_func(r_2, r_3)
     assert_func(r_3, r_4)
 
-    try:
-        import phenolrs  # noqa
-    except ModuleNotFoundError:
-        pytest.skip("phenolrs not installed")
-
     r_7 = algorithm_func(G_3)
+    assert_remote_dict(G_3)
     r_7_orig = algorithm_func.orig_func(G_3)  # type: ignore
+    assert_remote_dict(G_3)
 
     r_8 = algorithm_func(G_4)
+    assert_remote_dict(G_4)
     r_8_orig = algorithm_func.orig_func(G_4)  # type: ignore
+    assert_remote_dict(G_4)
 
     r_9 = algorithm_func(G_5)
+    assert_remote_dict(G_5)
     r_9_orig = algorithm_func.orig_func(G_5)  # type: ignore
+    assert_remote_dict(G_5)
 
     r_10 = algorithm_func(nx.DiGraph(incoming_graph_data=G_NX))
 
     r_11 = algorithm_func(G_6)
+    assert_remote_dict(G_6)
     r_11_orig = algorithm_func.orig_func(G_6)  # type: ignore
+    assert_remote_dict(G_6)
 
     r_12 = algorithm_func(G_7)
+    assert_remote_dict(G_7)
     r_12_orig = algorithm_func.orig_func(G_7)  # type: ignore
+    assert_remote_dict(G_7)
 
     r_13 = algorithm_func(G_8)
+    assert_remote_dict(G_8)
     r_13_orig = algorithm_func.orig_func(G_8)  # type: ignore
+    assert_remote_dict(G_8)
 
     assert_func(r_7, r_7_orig)
-    assert_func(r_8, r_8_orig)
-    assert_func(r_9, r_9_orig)
     assert_func(r_7, r_1)
     assert_func(r_7, r_8)
-    assert r_8 != r_9
-    assert r_8_orig != r_9_orig
+
+    assert_symmetry_differences(r_8, r_8_orig, should_be_equal=not affected_by_symmetry)
+    assert_func_should_fail(r_8, r_9)
+
+    assert_func(r_9, r_9_orig)
+    assert_symmetry_differences(
+        r_8_orig, r_9_orig, should_be_equal=affected_by_symmetry
+    )
+
     assert_func(r_8, r_10)
-    assert_func(r_8_orig, r_10)
-    assert_func(r_7, r_11)
-    assert_func(r_8, r_11)
+    assert_symmetry_differences(
+        r_8_orig, r_10, should_be_equal=not affected_by_symmetry
+    )
+
+    assert_func(r_11, r_7)
+    assert_func(r_11, r_7)
     assert_func(r_11, r_11_orig)
-    assert_func(r_12, r_12_orig)
+
+    assert_symmetry_differences(
+        r_12, r_12_orig, should_be_equal=not affected_by_symmetry
+    )
+    assert_func_should_fail(r_12, r_13)
+
     assert_func(r_13, r_13_orig)
-    assert r_12 != r_13
-    assert r_12_orig != r_13_orig
-    assert_func(r_8, r_12)
-    assert_func(r_8_orig, r_12_orig)
-    assert_func(r_9, r_13)
-    assert_func(r_9_orig, r_13_orig)
+    assert_symmetry_differences(
+        r_12_orig, r_13_orig, should_be_equal=affected_by_symmetry
+    )
+
+    assert_func(r_12, r_8)
+    assert_func(r_12_orig, r_8_orig)
+
+    assert_func(r_13, r_9)
+    assert_func(r_13_orig, r_9_orig)
 
 
 def test_shortest_path_remote_algorithm(load_karate_graph: Any) -> None: