feat(routing): add add_gnd_stitching_vias MCP tool with all-layer collision (#191)

Drop GND stitching vias across the board with collision checking
against every non-GND segment, via, and pad on every copper layer.
PTH vias penetrate the full stackup, so an F.Cu-only check (the most
common shortcut) silently creates shorts on inner / B.Cu copper —
this implementation explicitly walks all layers.

  grid          Regular grid across the board interior. Default
                spacing 5mm.

  around_refs   Densify around specified footprints (e.g. MCUs,
                switching regulators, RF parts). Configurable
                density via densifyRadius.

  in_zones      Restrict placements to candidates inside the filled
                polygons of GND copper zones, so each new via lands
                on copper that's already a GND equipotential.
                Recommended on boards where the GND zone is fragmented:
                these vias actually stitch real polygons rather than
                floating on silkscreen.

All three strategies use the same collision check + intra-call
clump-prevention, so passing `["grid", "around_refs", "in_zones"]`
is a safe kitchen-sink configuration.

  - Auto-detect GND net (tries GND / GROUND / VSS / /GND in order)
    OR explicit `gndNet` parameter.
  - Per-via geometry control: viaSize, viaDrill, clearance.
  - edgeMargin: keep-out distance from board edge.
  - maxVias: cap on total placements (useful for incremental work).
  - dryRun: return placements without modifying the board — for
    previewing before committing.
  - Validates viaDrill < viaSize, rejects unknown strategy names,
    surfaces clear errors when GND net can't be resolved or the
    board outline is missing.

Approach ported from morningfire-pcb-automation
(https://github.com/NiNjA-CodE/morningfire-pcb-automation,
scripts/ground/add_gnd_vias.py). The original parses the PCB text
with regex and writes vias by string concatenation; this port reads
obstacles via the pcbnew API (handles rotated footprints, integrates
with the live in-memory board so two sequential calls see each
other's placements, picks up net codes from the loaded board) and
adds the in_zones strategy, the maxVias cap, and dry-run mode.

Credit is in the docstring, the TypeScript wrapper comment, the MCP
tool description (visible to clients), and the CHANGELOG entry.

tests/test_add_gnd_stitching_vias.py — 18 cases, all passing.
Uses mocked pcbnew objects so the suite runs under both the conftest
stub and a real pcbnew install.

  - grid strategy fills empty board with correct count
  - collision blocks via near a signal track (with extent assertion)
  - GND-net obstacles are correctly ignored
  - around_refs densifies near footprints with bounded extent
  - in_zones rejects candidates outside HitTestFilledArea
  - dryRun does NOT call board.Add
  - actual run calls board.Add per placement
  - maxVias caps total placements
  - intra-call clump prevention (asserts pairwise distance)
  - viaDrill >= viaSize is rejected
  - unknown strategy name is rejected
  - missing GND net returns clear error payload
  - no board loaded returns clear error
  - named GND net (e.g. VSS) is honoured even when GND also exists
  - direct unit tests for _point_to_segment_distance_nm helper

Real-board smoke test on TuneForge_TF001 (4-layer, 44 footprints):
  - GND net auto-detected
  - grid spacing 4mm: 141 placements, 129 blocked by collision
  - grid + in_zones: 140 placed, 15 rejected by zone membership,
    115 blocked by collision

  python/commands/routing.py         (+impl, ~370 LOC)
  python/kicad_interface.py          (+handler registration)
  python/schemas/tool_schemas.py     (+MCP schema)
  src/tools/routing.ts               (+TypeScript surface, builds clean)
  tests/test_add_gnd_stitching_vias.py (+18 tests)
  CHANGELOG.md                       (+Unreleased -> New MCP Tools)
This commit is contained in:
NiNjA-CodE
2026-05-19 19:17:25 -06:00
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"""Tests for the add_gnd_stitching_vias MCP tool.
Uses mocked pcbnew objects so the suite runs under both the conftest
stub and a real pcbnew install. The math/orchestration is what we want
to lock in — the actual KiCad SWIG calls are wafer-thin wrappers.
Approach ported from morningfire-pcb-automation
(https://github.com/NiNjA-CodE/morningfire-pcb-automation,
scripts/ground/add_gnd_vias.py). These tests pin the placement
contract: all-layer collision check, in-zones membership filtering,
clump prevention, geometry validation.
"""
import sys
from pathlib import Path
from types import SimpleNamespace
from unittest.mock import MagicMock
import pytest
PYTHON_DIR = Path(__file__).parent.parent / "python"
sys.path.insert(0, str(PYTHON_DIR))
# Need pcbnew imported (real or stubbed) before RoutingCommands.
import pcbnew # noqa: F401, E402
from commands.routing import RoutingCommands, _point_to_segment_distance_nm # noqa: E402
# ---------------------------------------------------------------------------
# Fixture helpers — build a fake board with controllable obstacles.
# ---------------------------------------------------------------------------
def _mm(v):
return int(round(v * 1_000_000))
def _bbox(left_mm, top_mm, right_mm, bottom_mm):
bb = MagicMock()
bb.GetLeft.return_value = _mm(left_mm)
bb.GetTop.return_value = _mm(top_mm)
bb.GetRight.return_value = _mm(right_mm)
bb.GetBottom.return_value = _mm(bottom_mm)
bb.GetWidth.return_value = _mm(right_mm - left_mm)
bb.GetHeight.return_value = _mm(bottom_mm - top_mm)
return bb
def _vector(x_mm, y_mm):
v = MagicMock()
v.x = _mm(x_mm)
v.y = _mm(y_mm)
return v
def _track(net_code, x1, y1, x2, y2, width_mm=0.2):
"""A segment-style track on the given net."""
t = MagicMock()
t.GetNetCode.return_value = net_code
t.GetStart.return_value = _vector(x1, y1)
t.GetEnd.return_value = _vector(x2, y2)
t.GetWidth.return_value = _mm(width_mm)
t.GetClass.return_value = "PCB_TRACK" # routing code checks via GetClass()
return t
def _via(net_code, x, y, size_mm=0.8, drill_mm=0.4):
"""A through-hole via on the given net."""
v = MagicMock()
v.GetNetCode.return_value = net_code
v.GetPosition.return_value = _vector(x, y)
v.GetWidth.return_value = _mm(size_mm)
v.GetDrill.return_value = _mm(drill_mm)
v.GetClass.return_value = "PCB_VIA" # routing code checks via GetClass()
return v
def _pad(net_code, x, y, size_x_mm=1.0, size_y_mm=1.0):
p = MagicMock()
p.GetNetCode.return_value = net_code
p.GetPosition.return_value = _vector(x, y)
sz = MagicMock()
sz.x = _mm(size_x_mm)
sz.y = _mm(size_y_mm)
p.GetSize.return_value = sz
return p
def _footprint(ref, x_mm, y_mm, pads=()):
fp = MagicMock()
fp.GetReference.return_value = ref
fp.GetPosition.return_value = _vector(x_mm, y_mm)
fp.Pads.return_value = list(pads)
return fp
def _net(code, name):
n = MagicMock()
n.GetNetCode.return_value = code
n.GetNetname.return_value = name
return n
def _board(
*, width_mm=60.0, height_mm=40.0, gnd_code=1, gnd_name="GND",
tracks=(), pads=(), footprints=(), other_vias=(), zones=(),
extra_nets=None,
):
"""Build a fake pcbnew BOARD with the supplied obstacles."""
board = MagicMock()
nets_by_name = MagicMock()
name_lookup = {gnd_name: _net(gnd_code, gnd_name)}
if extra_nets:
for code, name in extra_nets.items():
name_lookup[name] = _net(code, name)
nets_by_name.has_key.side_effect = lambda k: k in name_lookup # noqa: W601
nets_by_name.__getitem__.side_effect = lambda k: name_lookup[k]
netinfo = MagicMock()
netinfo.NetsByName.return_value = nets_by_name
board.GetNetInfo.return_value = netinfo
board.GetBoardEdgesBoundingBox.return_value = _bbox(0, 0, width_mm, height_mm)
board.GetTracks.return_value = list(tracks) + list(other_vias)
board.GetFootprints.return_value = list(footprints)
board.Zones.return_value = list(zones)
# Layer IDs (just need stable numbers)
layer_map = {"F.Cu": 0, "B.Cu": 31}
board.GetLayerID.side_effect = lambda n: layer_map.get(n, -1)
return board
def _cmd(board):
cc = RoutingCommands.__new__(RoutingCommands)
cc.board = board
return cc
# ---------------------------------------------------------------------------
# Tests
# ---------------------------------------------------------------------------
@pytest.mark.unit
def test_grid_strategy_fills_empty_board():
board = _board(width_mm=20, height_mm=20)
out = _cmd(board).add_gnd_stitching_vias({
"strategies": ["grid"],
"spacing": 5.0,
"edgeMargin": 0.5,
"dryRun": True,
})
assert out["success"], out
placed = out["placed"]
# Grid from 0.5 to 19.5 stepping 5 -> {0.5, 5.5, 10.5, 15.5} -> 4*4 = 16
assert len(placed) == 16
assert out["summary"]["placed_count"] == 16
# All placements inside the edge bounds
for p in placed:
assert 0.5 <= p["x"] <= 19.5 and 0.5 <= p["y"] <= 19.5
@pytest.mark.unit
def test_collision_blocks_via_near_signal_track():
# Signal track on B.Cu (net code 2) crossing the middle of the board.
track = _track(net_code=2, x1=0, y1=10, x2=20, y2=10, width_mm=0.5)
board = _board(width_mm=20, height_mm=20, tracks=[track])
no_collision = _cmd(_board(width_mm=20, height_mm=20)).add_gnd_stitching_vias({
"strategies": ["grid"], "spacing": 5.0, "edgeMargin": 0.5,
"dryRun": True,
})
with_collision = _cmd(board).add_gnd_stitching_vias({
"strategies": ["grid"], "spacing": 5.0, "edgeMargin": 0.5,
"dryRun": True,
})
assert len(with_collision["placed"]) < len(no_collision["placed"]), (
"track at y=10 must block at least one grid point"
)
# Specifically the row at y=10.5 should be blocked (the only one within
# the track's collision distance for a 5mm grid).
for p in with_collision["placed"]:
# via radius 0.3 + track half-width 0.25 + clearance 0.2 = 0.75mm
# the track is at y=10, so any via with |y - 10| < 0.75 should be blocked
assert abs(p["y"] - 10) >= 0.749, (
f"via at y={p['y']} should have been blocked by track at y=10"
)
@pytest.mark.unit
def test_gnd_net_obstacles_are_ignored():
"""Vias and tracks already on GND should NOT block new stitching vias."""
gnd_track = _track(net_code=1, x1=0, y1=10, x2=20, y2=10, width_mm=2.0)
board_gnd_only = _board(width_mm=20, height_mm=20, tracks=[gnd_track])
out = _cmd(board_gnd_only).add_gnd_stitching_vias({
"strategies": ["grid"], "spacing": 5.0, "edgeMargin": 0.5,
"dryRun": True,
})
# No non-GND obstacles → identical to empty-board layout (16 vias)
assert len(out["placed"]) == 16
@pytest.mark.unit
def test_around_refs_densifies_near_footprint():
fp = _footprint("U1", 10.0, 10.0)
board = _board(width_mm=30, height_mm=30, footprints=[fp])
out = _cmd(board).add_gnd_stitching_vias({
"strategies": ["around_refs"],
"densifyRefs": ["U1"],
"densifyRadius": 2,
"spacing": 2.0,
"edgeMargin": 0.5,
"dryRun": True,
})
assert out["success"]
# 5x5 candidate field around U1 = 25 vias if all clear
assert out["summary"]["placed_count"] == 25
# All placements should be within 2*2.0mm of U1's centre
for p in out["placed"]:
assert abs(p["x"] - 10.0) <= 4.0 + 0.001
assert abs(p["y"] - 10.0) <= 4.0 + 0.001
@pytest.mark.unit
def test_in_zones_filter_rejects_candidates_outside_zone(monkeypatch):
"""When in_zones strategy is selected, only candidates inside a GND
zone's HitTestFilledArea are placed."""
# Patch pcbnew.VECTOR2I to return a real SimpleNamespace so the
# zone's HitTestFilledArea side_effect can read pt.x as an int.
monkeypatch.setattr(
pcbnew, "VECTOR2I",
lambda x, y: SimpleNamespace(x=x, y=y),
)
# Build a zone whose HitTestFilledArea reports True only for the LEFT
# half of the board (x < 10mm).
zone = MagicMock()
zone.GetNetCode.return_value = 1
zone.GetLayer.return_value = 0
def _hit(layer, pt, tol):
return pt.x < _mm(10)
zone.HitTestFilledArea.side_effect = _hit
# Defensive fallback: also give the zone a bbox in case the API
# variant gets used instead.
zone.GetBoundingBox.return_value = _bbox(0, 0, 10, 20)
board = _board(width_mm=20, height_mm=20, zones=[zone])
out = _cmd(board).add_gnd_stitching_vias({
"strategies": ["in_zones"],
"spacing": 5.0,
"edgeMargin": 0.5,
"dryRun": True,
})
assert out["success"], out
# Only candidates with x < 10mm should be placed → {0.5, 5.5} -> 2 columns × 4 rows = 8
assert all(p["x"] < 10 for p in out["placed"])
assert out["summary"]["placed_count"] == 8
assert out["summary"]["skipped_by_zone_membership"] > 0
@pytest.mark.unit
def test_dry_run_does_not_modify_board():
board = _board(width_mm=20, height_mm=20)
out = _cmd(board).add_gnd_stitching_vias({
"strategies": ["grid"], "spacing": 5.0, "dryRun": True,
})
assert out["success"]
assert out["summary"]["dry_run"] is True
# No vias added: board.Add not called
board.Add.assert_not_called()
@pytest.mark.unit
def test_actual_run_writes_vias_to_board():
board = _board(width_mm=20, height_mm=20)
out = _cmd(board).add_gnd_stitching_vias({
"strategies": ["grid"], "spacing": 5.0, "dryRun": False,
})
assert out["success"]
# Should have called board.Add once per placed via
assert board.Add.call_count == out["summary"]["placed_count"]
@pytest.mark.unit
def test_max_vias_caps_total_placements():
board = _board(width_mm=40, height_mm=40)
out = _cmd(board).add_gnd_stitching_vias({
"strategies": ["grid"], "spacing": 5.0, "edgeMargin": 0.5,
"maxVias": 5, "dryRun": True,
})
assert out["summary"]["placed_count"] == 5
@pytest.mark.unit
def test_intra_call_clump_prevention():
"""Two passes' worth of candidates near each other should NOT clump."""
fp1 = _footprint("U1", 10.0, 10.0)
fp2 = _footprint("U2", 10.5, 10.0) # very close to U1
board = _board(width_mm=30, height_mm=30, footprints=[fp1, fp2])
out = _cmd(board).add_gnd_stitching_vias({
"strategies": ["around_refs"],
"densifyRefs": ["U1", "U2"],
"densifyRadius": 1,
"spacing": 0.5, # ridiculously tight: forces self-collision
"viaSize": 0.6,
"clearance": 0.2,
"edgeMargin": 0.5,
"dryRun": True,
})
placed = out["placed"]
# Each pair must respect viaSize + clearance separation
min_centre = 0.6 + 0.2 # 0.8mm
for i in range(len(placed)):
for j in range(i + 1, len(placed)):
dx = placed[i]["x"] - placed[j]["x"]
dy = placed[i]["y"] - placed[j]["y"]
d = (dx * dx + dy * dy) ** 0.5
assert d >= min_centre - 1e-3, (
f"vias clumped: ({placed[i]['x']},{placed[i]['y']}) and "
f"({placed[j]['x']},{placed[j]['y']}) distance={d:.3f}mm"
)
@pytest.mark.unit
def test_invalid_via_geometry_rejected():
board = _board()
out = _cmd(board).add_gnd_stitching_vias({
"viaSize": 0.4,
"viaDrill": 0.4, # equal to size — invalid
})
assert out["success"] is False
assert "Invalid via geometry" in out["message"]
@pytest.mark.unit
def test_unknown_strategy_rejected():
board = _board()
out = _cmd(board).add_gnd_stitching_vias({
"strategies": ["random_walk"],
})
assert out["success"] is False
assert "Unknown strategy" in out["message"]
@pytest.mark.unit
def test_missing_gnd_net_returns_clear_error():
board = _board(gnd_name="NOT_GND", gnd_code=1)
# The build above creates a single net called NOT_GND, no GND.
# auto-detect should fail.
out = _cmd(board).add_gnd_stitching_vias({})
assert out["success"] is False
assert "No GND net detected" in out["message"]
@pytest.mark.unit
def test_no_board_returns_clear_error():
cc = RoutingCommands.__new__(RoutingCommands)
cc.board = None
out = cc.add_gnd_stitching_vias({})
assert out["success"] is False
assert "No board" in out["message"]
@pytest.mark.unit
def test_named_gnd_net_used_when_specified():
board = _board(
gnd_name="VSS", gnd_code=7,
extra_nets={1: "GND"}, # also has a GND net
)
out = _cmd(board).add_gnd_stitching_vias({
"gndNet": "VSS", "strategies": ["grid"], "spacing": 10,
"edgeMargin": 5, "dryRun": True,
})
assert out["success"]
assert out["summary"]["gnd_net"] == "VSS"
# ---------------------------------------------------------------------------
# Direct tests for the geometry helper
# ---------------------------------------------------------------------------
@pytest.mark.unit
def test_point_to_segment_distance_endpoint():
# Point exactly at one endpoint -> distance 0
d = _point_to_segment_distance_nm(0, 0, 0, 0, 100, 0)
assert d == 0
@pytest.mark.unit
def test_point_to_segment_distance_perpendicular():
# Point above the midpoint of a horizontal segment
d = _point_to_segment_distance_nm(50, 100, 0, 0, 100, 0)
assert d == pytest.approx(100)
@pytest.mark.unit
def test_point_to_segment_distance_beyond_endpoint():
# Point well past one endpoint -> distance to that endpoint
d = _point_to_segment_distance_nm(200, 0, 0, 0, 100, 0)
assert d == pytest.approx(100)
@pytest.mark.unit
def test_point_to_segment_distance_zero_length_segment():
# Degenerate segment (start == end) -> distance to that point
d = _point_to_segment_distance_nm(3, 4, 0, 0, 0, 0)
assert d == pytest.approx(5)