"""Standalone 2D Agentic-OS brain viewer.
Run: . venv/bin/activate && python3 regen_graph_html_standalone.py
Then open: http://127.0.0.1:8080/graphify-out/graph-standalone.html
"""
from pathlib import Path
import json
from collections import Counter
ROOT = Path(__file__).resolve().parent
GRAPH_JSON = ROOT / "brain" / "graph" / "agentic-os.json"
OUT = ROOT / "graphify-out" / "graph-standalone.html"
data = json.loads(GRAPH_JSON.read_text(encoding="utf-8"))
nodes = data.get("nodes", [])
links = data.get("links", [])
# Count top communities for legend
community_counter = Counter()
for n in nodes:
cn = (n.get("community_name") or n.get("community") or "").strip()
if cn:
community_counter[cn] += 1
top_communities = [cn for cn, _ in community_counter.most_common(25)]
PALETTE = [
"#E15759", "#4E79A7", "#F28E2B", "#76B7B2",
"#59A14F", "#EDC948", "#B07AA1", "#FF9DA7",
"#9C755F", "#BAB0AC", "#86BCB6", "#8CD17D",
"#B6992D", "#499894", "#D37295", "#F1CE63",
"#D4A6C8",
]
def community_color(name: str, index: int) -> str:
import hashlib
h = hashlib.md5(name.encode("utf-8")).hexdigest()
return PALETTE[int(h, 16) % len(PALETTE)]
community_color_map = {cn: community_color(cn, i) for i, cn in enumerate(top_communities)}
# Degree map
degree = {}
for link in links:
for key in ("source", "from", "target", "to"):
if key in link and link[key] is not None:
degree[link[key]] = degree.get(link[key], 0) + 1
break
for n in nodes:
nid = n.get("id") or n.get("name")
n["__degree__"] = degree.get(nid, 0)
# Escape for HTML attribute
import html as html_mod
esc = html_mod.escape
legend_items = []
for cn in top_communities:
color = community_color_map[cn]
legend_items.append(
f''
f'{esc(cn)}'
)
legend_html = "\n".join(
f'{item}
'
for cn, item in zip(top_communities, legend_items)
)
html = f"""
Agentic-OS Brain
"""
OUT.write_text(html, encoding="utf-8")
print(f"wrote {OUT} ({OUT.stat().st_size} bytes)")