implement #488 #482 #472 #490: legacy schema canonicalization, Java inheritance, aggregated HTML viz, check-update subcommand

graphify/skill-opencode.md

@@ -531,8 +531,30 @@ G = build_from_json(extraction)
 communities = {int(k): v for k, v in analysis['communities'].items()}
 labels = {int(k): v for k, v in labels_raw.items()}
 
-if G.number_of_nodes() > 5000:
-    print(f'Graph has {G.number_of_nodes()} nodes - too large for HTML viz. Use Obsidian vault instead.')
+NODE_LIMIT = 5000
+if G.number_of_nodes() > NODE_LIMIT:
+    from collections import Counter
+    print(f'Graph has {G.number_of_nodes()} nodes (above {NODE_LIMIT} limit). Building aggregated community view...')
+    node_to_community = {nid: cid for cid, members in communities.items() for nid in members}
+    import networkx as nx_meta
+    meta = nx_meta.Graph()
+    for cid, members in communities.items():
+        meta.add_node(str(cid), label=labels.get(cid, f'Community {cid}'))
+    edge_counts = Counter()
+    for u, v in G.edges():
+        cu, cv = node_to_community.get(u), node_to_community.get(v)
+        if cu is not None and cv is not None and cu != cv:
+            edge_counts[(min(cu, cv), max(cu, cv))] += 1
+    for (cu, cv), w in edge_counts.items():
+        meta.add_edge(str(cu), str(cv), weight=w, relation=f'{w} cross-community edges', confidence='AGGREGATED')
+    if meta.number_of_nodes() > 1:
+        meta_communities = {cid: [str(cid)] for cid in communities}
+        member_counts = {cid: len(members) for cid, members in communities.items()}
+        to_html(meta, meta_communities, 'graphify-out/graph.html', community_labels=labels or None, member_counts=member_counts)
+        print(f'graph.html written (aggregated: {meta.number_of_nodes()} community nodes, {meta.number_of_edges()} cross-community edges)')
+        print('Tip: run with --obsidian for full node-level detail.')
+    else:
+        print('Single community — aggregated view not useful. Skipping graph.html.')
 else:
     to_html(G, communities, 'graphify-out/graph.html', community_labels=labels or None)
     print('graph.html written - open in any browser, no server needed')