Add "Import from OSM" box.

lynxkite-graph-analytics/pyproject.toml

@@ -10,6 +10,7 @@ dependencies = [
     "lynxkite-core",
     "matplotlib>=3.10.0",
     "networkx>=3.4.2",
+    "osmnx>=2.0.1",
     "pandas>=2.2.3",
     "polars[gpu]>=1.14.0",
 ]

lynxkite-graph-analytics/src/lynxkite_plugins/graph_analytics/lynxkite_ops.py

@@ -55,7 +55,8 @@ class Bundle:
         d = dict(graph.nodes(data=True))
         nodes = pd.DataFrame(d.values(), index=d.keys())
         nodes["id"] = nodes.index
-        nodes.drop(columns=["index"], inplace=True)
+        if "index" in nodes.columns:
+            nodes.drop(columns=["index"], inplace=True)
         return cls(
             dfs={"edges": edges, "nodes": nodes},
             relations=[
@@ -205,6 +206,14 @@ def import_graphml(*, filename: str):
     return G
 
 
+@op("Graph from OSM")
+@mem.cache
+def import_osm(*, location: str):
+    import osmnx as ox
+
+    return ox.graph.graph_from_place(location, network_type="drive")
+
+
 @op("Create scale-free graph")
 def create_scale_free_graph(*, nodes: int = 10):
     """Creates a scale-free graph with the given number of nodes."""
@@ -317,10 +326,25 @@ def visualize_graph(graph: Bundle, *, color_nodes_by: ops.NodeAttribute = None):
     nodes = graph.dfs["nodes"].copy()
     if color_nodes_by:
         nodes["color"] = _map_color(nodes[color_nodes_by])
+    if (
+        "x" in nodes.columns
+        and nodes["x"].dtype == "float64"
+        and "y" in nodes.columns
+        and nodes["y"].dtype == "float64"
+    ):
+        pos = {
+            node_id: (row["x"] * 1000, row["y"] * 1000)
+            for node_id, row in nodes.iterrows()
+        }
+        curveness = 0  # Street maps are better with straight streets.
+    else:
+        pos = nx.spring_layout(
+            graph.to_nx(), iterations=max(1, int(10000 / len(nodes)))
+        )
+        curveness = 0.3
     nodes = nodes.to_records()
     edges = graph.dfs["edges"].drop_duplicates(["source", "target"])
     edges = edges.to_records()
-    pos = nx.spring_layout(graph.to_nx(), iterations=max(1, int(10000 / len(nodes))))
     v = {
         "animationDuration": 500,
         "animationEasingUpdate": "quinticInOut",
@@ -330,7 +354,7 @@ def visualize_graph(graph: Bundle, *, color_nodes_by: ops.NodeAttribute = None):
                 "roam": True,
                 "lineStyle": {
                     "color": "gray",
-                    "curveness": 0.3,
+                    "curveness": curveness,
                 },
                 "emphasis": {
                     "focus": "adjacency",

lynxkite-graph-analytics/uv.lock

@@ -9,6 +9,63 @@ resolution-markers = [
     "python_full_version >= '3.12' and platform_machine != 'aarch64' and platform_machine != 'x86_64'",
 ]
 
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+version = "3.4.1"
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+    { name = "packaging" },
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+    { name = "pyogrio" },
+    { name = "pyproj" },
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 version = "0.12.0"
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