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oliver
b81e5869a6
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>
84 lines
3.1 KiB
Python
84 lines
3.1 KiB
Python
"""Tests for gated pull_far_chains."""
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from __future__ import annotations
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from netx_topology_mcp.layout_metrics import count_edge_crossings
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from netx_topology_mcp.layout_ops.graph_util import build_state_from_nodes_edges
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from netx_topology_mcp.layout_ops.orbit_sweep import _has_any_footprint_overlap
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from netx_topology_mcp.layout_ops.pull_far_chains import pull_far_chains
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def test_pull_far_chains_shortens_corridor_without_raising_crossings():
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# Portal pair + hub + long deg-2 tail stretching south.
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nodes = [
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{"fabric_node_id": "p1", "name": "P1", "x": 0.0, "y": 0.0},
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{"fabric_node_id": "p2", "name": "P2", "x": 1000.0, "y": 0.0},
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{"fabric_node_id": "hub", "name": "Hub", "x": 500.0, "y": 200.0},
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{"fabric_node_id": "a", "name": "A", "x": 500.0, "y": 1200.0},
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{"fabric_node_id": "b", "name": "B", "x": 500.0, "y": 2400.0},
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{"fabric_node_id": "c", "name": "C", "x": 500.0, "y": 3600.0},
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{"fabric_node_id": "tip", "name": "Tip", "x": 500.0, "y": 4800.0},
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]
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edges = [
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{"a_node_id": "p1", "b_node_id": "hub"},
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{"a_node_id": "p2", "b_node_id": "hub"},
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{"a_node_id": "hub", "b_node_id": "a"},
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{"a_node_id": "a", "b_node_id": "b"},
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{"a_node_id": "b", "b_node_id": "c"},
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{"a_node_id": "c", "b_node_id": "tip"},
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]
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st = build_state_from_nodes_edges(nodes, edges)
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g0 = count_edge_crossings(st.positions, st.links)
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y0 = st.positions["tip"][1]
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area0 = abs(
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(max(p[0] for p in st.positions.values()) - min(p[0] for p in st.positions.values()))
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* (max(p[1] for p in st.positions.values()) - min(p[1] for p in st.positions.values()))
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)
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op = pull_far_chains(
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st,
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portal_ids=["p1", "p2"],
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max_chains=4,
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min_tip_radius=1000.0,
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scales=(0.9, 0.8, 0.7),
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max_clearance_slack=100,
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)
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assert op.params.get("chains_accepted", 0) >= 1
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assert op.state.positions["tip"][1] < y0
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g1 = count_edge_crossings(op.state.positions, op.state.links)
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assert g1 <= g0
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assert not _has_any_footprint_overlap(op.state.positions, op.state.names)
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area1 = abs(
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(
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max(p[0] for p in op.state.positions.values())
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- min(p[0] for p in op.state.positions.values())
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)
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* (
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max(p[1] for p in op.state.positions.values())
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- min(p[1] for p in op.state.positions.values())
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)
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)
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assert area1 < area0
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def test_pull_far_chains_moves_isolates():
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nodes = [
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{"fabric_node_id": "p1", "name": "P1", "x": 0.0, "y": 0.0},
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{"fabric_node_id": "p2", "name": "P2", "x": 1000.0, "y": 0.0},
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{"fabric_node_id": "iso", "name": "Iso", "x": 500.0, "y": 5000.0},
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]
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edges = [
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{"a_node_id": "p1", "b_node_id": "p2"},
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]
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st = build_state_from_nodes_edges(nodes, edges)
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y0 = st.positions["iso"][1]
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op = pull_far_chains(
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st,
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portal_ids=["p1", "p2"],
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max_chains=4,
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min_tip_radius=1000.0,
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scales=(0.8, 0.7),
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max_clearance_slack=100,
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pull_isolates=True,
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)
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assert op.params.get("isolates_pulled", 0) >= 1
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assert op.state.positions["iso"][1] < y0
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