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    Home»AI News»Using Graphify and NetworkX to Map Python Codebase Structure with God Nodes, Communities, and Architecture Visualizations
    Using Graphify and NetworkX to Map Python Codebase Structure with God Nodes, Communities, and Architecture Visualizations
    AI News

    Using Graphify and NetworkX to Map Python Codebase Structure with God Nodes, Communities, and Architecture Visualizations

    June 24, 20261 Min Read
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    synthesia


    plt.figure(figsize=(13, 9))
    pos = nx.spring_layout(UG, k=0.7, seed=42)
    nx.draw_networkx_edges(UG, pos, alpha=0.25)
    nx.draw_networkx_nodes(
    UG, pos,
    node_color=[node_comm.get(n, 0) for n in UG.nodes],
    node_size=[300 + 4000 * deg.get(n, 0) for n in UG.nodes],
    cmap=plt.cm.tab20, alpha=0.9,
    )
    top = {n for n, _ in sorted(deg.items(), key=lambda x: -x[1])[:14]}
    nx.draw_networkx_labels(UG, pos, {n: label(n) for n in top}, font_size=8)
    plt.title(“Graphify knowledge graph — size=centrality, color=community”)
    plt.axis(“off”); plt.tight_layout()
    plt.savefig(“graph_static.png”, dpi=130); plt.show()
    try:
    from pyvis.network import Network
    net = Network(height=”650px”, width=”100%”, bgcolor=”#111″, font_color=”white”,
    notebook=True, cdn_resources=”in_line”, directed=G.is_directed())
    palette = [“#e6194B”,”#3cb44b”,”#4363d8″,”#f58231″,”#911eb4″,
    “#42d4f4″,”#f032e6″,”#bfef45″,”#fabed4″,”#469990″]
    for n, d in G.nodes(data=True):
    c = node_comm.get(n, 0)
    net.add_node(n, label=label(n), title=f”{d.get(‘file_type’,’?’)} · {d.get(‘source_file’,”)}”,
    color=palette[c % len(palette)], size=12 + 60 * deg.get(n, 0))
    for s, t, d in G.edges(data=True):
    net.add_edge(s, t, title=d.get(“relation”, “”))
    net.save_graph(“graph_interactive.html”)
    print(“\nSaved interactive graph -> graph_interactive.html”)
    from IPython.display import HTML, display
    display(HTML(open(“graph_interactive.html”).read()))
    except Exception as e:
    print(“Interactive viz skipped:”, e)
    for cmd in (
    [“query”, “what connects auth to the database?”, “–graph”, GRAPH_JSON],
    [“path”, “AuthService”, “DatabasePool”, “–graph”, GRAPH_JSON],
    [“explain”, “RateLimiter”, “–graph”, GRAPH_JSON],
    ):
    print(“\n$ graphify ” + ” “.join(cmd))
    r = subprocess.run([sys.executable, “-m”, “graphify”, *cmd],
    capture_output=True, text=True)
    print((r.stdout or r.stderr)[:1200])
    print(“\nDone. Artifacts: graph_static.png, graph_interactive.html,”,
    “and graphify-out/ (graph.json, GRAPH_REPORT.md).”)



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