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Ship gated eye polish, fabric levels, and collection UI refresh.

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Topology MCP adds pull/compact/bundle/suggest-hubs with a no-template skill path; API gains fabric level and NE collection policy; web list pages get paging and denser collect/network workflows.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
oliver 2026-08-12 16:13:05 +08:00
parent b1aee86701
commit b81e5869a6
91 changed files with 10395 additions and 1513 deletions
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23
packages/netx-topology-mcp/src/netx_topology_mcp/layout_metrics.py
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@ -176,14 +176,24 @@ def compute_edge_clearance(
per_node.append(h)
hits_n = len(hits)
# Score by unique nodes hit / n (plan: ~0.05 warn, 0.2 → 0)
# Dual signal so hub chords with many segment hits actually hurt:
# 1) unique nodes hit / n (0 → 1, ≥20% → 0)
# 2) hits / links (≤0.02 → 1, ≥0.20 → 0) — separates sparse vs scrubbed eyes
hit_frac = len(nodes_with_hit) / max(n_nodes, 1)
hit_per_link = hits_n / max(n_links, 1)
if hit_frac <= 0.0:
score = 1.0
node_s = 1.0
elif hit_frac >= 0.2:
score = 0.0
node_s = 0.0
else:
score = 1.0 - hit_frac / 0.2
node_s = 1.0 - hit_frac / 0.2
if hit_per_link <= 0.02:
inten_s = 1.0
elif hit_per_link >= 0.20:
inten_s = 0.0
else:
inten_s = 1.0 - (hit_per_link - 0.02) / 0.18
score = 0.45 * node_s + 0.55 * inten_s
def _pct(vals: list[float], p: float) -> float | None:
if not vals:
@ -197,6 +207,9 @@ def compute_edge_clearance(
"nodes_hit": len(nodes_with_hit),
"min_clearance_p50": _pct(clearances, 0.5),
"edge_clearance_score": round(score, 4),
"edge_clearance_node_score": round(node_s, 4),
"edge_clearance_intensity_score": round(inten_s, 4),
"hit_per_link": round(hit_per_link, 4),
"top_edge_hits": per_node[:top_n],
"hit_nodes": per_node,
"edge_clearance_tip": tip_ok,
@ -764,7 +777,7 @@ def grade_layout(
issues.append(f"label_overlaps={label_overlaps}>0")
util_warn = 0.08
util_fail = 0.03
util_fail = 0.04
util_f = float(util) if util is not None else None
util_bad = util_f is not None and util_f < util_fail
util_soft = util_f is not None and util_f < util_warn