feat: working WebGL graph with selection/highlighting

analysis.py

@@ -67,25 +67,32 @@ def graph_json():
             subquery, (C.user == subquery.c.user) & (C.time == subquery.c.latest)
         )
         for c in session.exec(statement2):
-            for p in c.love:
+            for i, p in enumerate(c.love):
                 edges.append(
                     {
                         "id": f"{c.user}->{p}",
                         "source": c.user,
                         "target": p,
-                        "relation": "likes",
+                        "size": max(1.0 - 0.1 * i, 0.3),
+                        "data": {"relation": 2},
                     }
                 )
-            continue
             for p in c.hate:
                 edges.append(
                     {
-                        id: f"{c.user}-x>{p}",
+                        "id": f"{c.user}-x>{p}",
                         "source": c.user,
                         "target": p,
-                        "relation": "dislikes",
+                        "size": 0.3,
+                        "data": {"relation": 0},
+                        "fill": "#ff7c7c",
                     }
                 )
+
+    G = nx.DiGraph()
+    G.add_weighted_edges_from([(e["source"], e["target"], e["size"]) for e in edges])
+    in_degrees = G.in_degree(weight="weight")
+    nodes = [dict(node, **{"inDegree": in_degrees[node["id"]]}) for node in nodes]
     return JSONResponse({"nodes": nodes, "edges": edges})