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from __future__ import annotations
import json
import os
from pathlib import Path
import numpy as np
import trimesh
CASE_SPEC = {
"case_id": "quant-cli-openscad-parametric-task-01-ubuntu",
"token": "EWQSCAD01",
"title": "compact controller heat sink with straight external airflow channels",
"objective": (
"Maximize externally exposed geometric surface area per material volume. "
"This is a geometry-only proxy, not a thermal simulation."
),
"metric_kind": "external_surface_per_volume",
"metric_description": (
"(single connected exterior-shell area minus the base contact area) / material volume"
),
"envelope_min_mm": [0.0, 0.0, 0.0],
"envelope_max_mm": [80.0, 50.0, 28.0],
"min_bbox_mm": [76.0, 46.0, 24.0],
"min_volume_mm3": 14500.0,
"max_volume_mm3": 54000.0,
"base_thickness_mm": 4.0,
"min_contact_area_mm2": 3800.0,
"min_contact_span_mm": [76.0, 46.0],
"min_fin_thickness_mm": 1.5,
"min_fin_gap_mm": 3.0,
"min_fin_count": 6,
"max_fin_count": 16,
"min_fin_run_mm": 44.0,
"min_fin_top_z_mm": 24.0,
"baseline_metrics": {
"bbox_mm": [80.0, 50.0, 14.64],
"volume_mm3": 48107.264,
"external_surface_area_mm2": 7478.688,
"external_surface_per_volume": 0.15545860,
},
"reference_metrics": {
"bbox_mm": [80.0, 50.0, 28.0],
"volume_mm3": 36644.8,
"external_surface_area_mm2": 30225.6,
"external_surface_per_volume": 0.82482644,
},
}
DESKTOP = Path(os.environ.get("ENGIWORLD_EVAL_DIR") or os.environ.get("OUTPUT_ROOT") or "/home/user/Desktop")
TOL = 0.15
def clamp(value, low=0.0, high=1.0):
return max(low, min(high, float(value)))
def as_mesh(obj):
if isinstance(obj, trimesh.Scene):
meshes = [g for g in obj.geometry.values() if isinstance(g, trimesh.Trimesh)]
if not meshes:
raise ValueError("scene has no mesh geometry")
return trimesh.util.concatenate(meshes)
return obj
def load_stl(path: Path):
if not path.is_file() or path.stat().st_size < 500:
raise ValueError("optimized.stl missing or too small")
mesh = as_mesh(trimesh.load_mesh(str(path), file_type="stl", process=True))
if mesh.vertices is None or len(mesh.vertices) < 8 or len(mesh.faces) < 12:
raise ValueError("optimized.stl has too little mesh geometry")
return mesh
def connected_shell_count(mesh):
"""Count edge-connected surface shells without depending on scipy."""
faces = np.asarray(mesh.faces, dtype=np.int64)
parent = np.arange(len(faces), dtype=np.int64)
def find(item):
while parent[item] != item:
parent[item] = parent[parent[item]]
item = parent[item]
return int(item)
def union(a, b):
ra, rb = find(int(a)), find(int(b))
if ra != rb:
parent[rb] = ra
edge_owner = {}
for face_index, face in enumerate(faces):
a, b, c = (int(x) for x in face)
for edge in ((a, b), (b, c), (c, a)):
key = tuple(sorted(edge))
if key in edge_owner:
union(face_index, edge_owner[key])
else:
edge_owner[key] = face_index
return len({find(index) for index in range(len(faces))})
def projected_xy_area(triangles):
if len(triangles) == 0:
return 0.0
edge_a = triangles[:, 1, :2] - triangles[:, 0, :2]
edge_b = triangles[:, 2, :2] - triangles[:, 0, :2]
return float(0.5 * np.abs(edge_a[:, 0] * edge_b[:, 1] - edge_a[:, 1] * edge_b[:, 0]).sum())
def projected_area(triangles, axes):
if len(triangles) == 0:
return 0.0
points = triangles[:, :, axes]
edge_a = points[:, 1] - points[:, 0]
edge_b = points[:, 2] - points[:, 0]
return float(0.5 * np.abs(edge_a[:, 0] * edge_b[:, 1] - edge_a[:, 1] * edge_b[:, 0]).sum())
def base_contact_metrics(mesh):
triangles = np.asarray(mesh.triangles, dtype=float)
bounds = np.asarray(mesh.bounds, dtype=float)
min_z = float(bounds[0][2])
bottom_mask = np.max(np.abs(triangles[:, :, 2] - min_z), axis=1) <= TOL
bottom = triangles[bottom_mask]
if len(bottom) == 0:
return {
"base_contact_area_mm2": 0.0,
"base_contact_span_mm": [0.0, 0.0],
"base_x_edge_wall_area_mm2": 0.0,
"base_y_edge_wall_area_mm2": 0.0,
}
xy = bottom[:, :, :2].reshape((-1, 2))
spans = np.max(xy, axis=0) - np.min(xy, axis=0)
base_top = min_z + CASE_SPEC["base_thickness_mm"] + TOL
near_base = np.max(triangles[:, :, 2], axis=1) <= base_top
at_x_edge = (
(np.max(np.abs(triangles[:, :, 0] - bounds[0][0]), axis=1) <= TOL)
| (np.max(np.abs(triangles[:, :, 0] - bounds[1][0]), axis=1) <= TOL)
)
at_y_edge = (
(np.max(np.abs(triangles[:, :, 1] - bounds[0][1]), axis=1) <= TOL)
| (np.max(np.abs(triangles[:, :, 1] - bounds[1][1]), axis=1) <= TOL)
)
return {
"base_contact_area_mm2": round(projected_xy_area(bottom), 4),
"base_contact_span_mm": [round(float(x), 4) for x in spans],
"base_x_edge_wall_area_mm2": round(projected_area(triangles[near_base & at_x_edge], [1, 2]), 4),
"base_y_edge_wall_area_mm2": round(projected_area(triangles[near_base & at_y_edge], [0, 2]), 4),
}
def straight_fin_metrics(mesh):
"""Measure paired, long Y-facing sides of straight fins above the base."""
triangles = np.asarray(mesh.triangles, dtype=float)
normals = np.asarray(mesh.face_normals, dtype=float)
planes = {}
for tri, normal in zip(triangles, normals):
if abs(float(normal[0])) < 0.98 or np.ptp(tri[:, 0]) > TOL:
continue
y_span = float(np.ptp(tri[:, 1]))
z_span = float(np.ptp(tri[:, 2]))
if y_span < CASE_SPEC["min_fin_run_mm"] - TOL or z_span < 18.0:
continue
x = round(float(np.mean(tri[:, 0])), 3)
entry = planes.setdefault(x, {"area_yz": 0.0, "y_min": 1e9, "y_max": -1e9, "z_min": 1e9, "z_max": -1e9})
edge_a = tri[1, 1:] - tri[0, 1:]
edge_b = tri[2, 1:] - tri[0, 1:]
entry["area_yz"] += 0.5 * abs(float(edge_a[0] * edge_b[1] - edge_a[1] * edge_b[0]))
entry["y_min"] = min(entry["y_min"], float(np.min(tri[:, 1])))
entry["y_max"] = max(entry["y_max"], float(np.max(tri[:, 1])))
entry["z_min"] = min(entry["z_min"], float(np.min(tri[:, 2])))
entry["z_max"] = max(entry["z_max"], float(np.max(tri[:, 2])))
valid_planes = []
for x, data in planes.items():
if (
data["area_yz"] >= 700.0
and data["y_max"] - data["y_min"] >= CASE_SPEC["min_fin_run_mm"] - TOL
and data["z_min"] <= CASE_SPEC["base_thickness_mm"] + TOL
and data["z_max"] >= CASE_SPEC["min_fin_top_z_mm"] - TOL
):
valid_planes.append(x)
valid_planes.sort()
thicknesses = []
gaps = []
if len(valid_planes) % 2 == 0:
thicknesses = [valid_planes[i + 1] - valid_planes[i] for i in range(0, len(valid_planes), 2)]
gaps = [valid_planes[i + 2] - valid_planes[i + 1] for i in range(0, len(valid_planes) - 2, 2)]
return {
"fin_count": len(thicknesses),
"fin_thicknesses_mm": [round(float(x), 4) for x in thicknesses],
"fin_gaps_mm": [round(float(x), 4) for x in gaps],
"fin_side_plane_count": len(valid_planes),
}
def metrics(mesh):
bounds = np.asarray(mesh.bounds, dtype=float)
dims = bounds[1] - bounds[0]
volume = float(mesh.volume)
contact = base_contact_metrics(mesh)
external_area = float(mesh.area) - contact["base_contact_area_mm2"]
result = {
"bounds_min_mm": [round(float(x), 4) for x in bounds[0]],
"bounds_max_mm": [round(float(x), 4) for x in bounds[1]],
"bbox_mm": [round(float(x), 4) for x in dims],
"volume_mm3": round(volume, 4),
"exterior_shell_area_mm2": round(float(mesh.area), 4),
"external_surface_area_mm2": round(external_area, 4),
"external_surface_per_volume": round(external_area / max(volume, 1e-9), 8),
"watertight": bool(mesh.is_watertight),
"winding_consistent": bool(mesh.is_winding_consistent),
"connected_shell_count": connected_shell_count(mesh),
}
result.update(contact)
result.update(straight_fin_metrics(mesh))
return result
def design_summary_errors():
path = DESKTOP / "design_summary.json"
if not path.is_file():
return ["design_summary:missing"]
try:
data = json.loads(path.read_text(encoding="utf-8"))
except Exception as exc:
return [f"design_summary:unreadable:{exc}"]
errors = []
if data.get("case_id") != CASE_SPEC["case_id"]:
errors.append("design_summary:case_id_mismatch")
if data.get("token") != CASE_SPEC["token"]:
errors.append("design_summary:token_mismatch")
if not isinstance(data.get("design"), str) or not data["design"].strip():
errors.append("design_summary:missing_design_text")
return errors
def score_from_metrics(m):
eff = m["external_surface_per_volume"]
baseline = CASE_SPEC["baseline_metrics"]["external_surface_per_volume"]
reference = CASE_SPEC["reference_metrics"]["external_surface_per_volume"]
raw = (eff - baseline) / max(reference - baseline, 1e-9)
volume_factor = clamp(
(CASE_SPEC["max_volume_mm3"] - m["volume_mm3"])
/ max(CASE_SPEC["max_volume_mm3"] - CASE_SPEC["reference_metrics"]["volume_mm3"], 1.0),
0.0,
1.10,
)
height_factor = clamp(m["bbox_mm"][2] / CASE_SPEC["envelope_max_mm"][2], 0.75, 1.0)
score = clamp(0.88 * raw + 0.08 * volume_factor + 0.04 * height_factor)
return {
"metric_kind": CASE_SPEC["metric_kind"],
"metric_value": round(eff, 8),
"raw_efficiency_score": round(clamp(raw), 6),
"volume_factor": round(volume_factor, 6),
"height_factor": round(height_factor, 6),
"score": round(score, 6),
}
def hard_errors(m):
errors = []
for axis, (got, minimum) in enumerate(zip(m["bounds_min_mm"], CASE_SPEC["envelope_min_mm"])):
if got < minimum - TOL:
errors.append(f"bounds_min_axis_{axis}:below_envelope:{got}<{minimum}")
if abs(m["bounds_min_mm"][2] - CASE_SPEC["envelope_min_mm"][2]) > TOL:
errors.append(
f"base_contact_z:must_be_{CASE_SPEC['envelope_min_mm'][2]}:got_{m['bounds_min_mm'][2]}"
)
for axis, (got, maximum) in enumerate(zip(m["bounds_max_mm"], CASE_SPEC["envelope_max_mm"])):
if got > maximum + TOL:
errors.append(f"bounds_max_axis_{axis}:too_large:{got}>{maximum}")
for axis, (got, minimum) in enumerate(zip(m["bbox_mm"], CASE_SPEC["min_bbox_mm"])):
if got < minimum - TOL:
errors.append(f"bbox_axis_{axis}:too_small:{got}<{minimum}")
if not (CASE_SPEC["min_volume_mm3"] <= m["volume_mm3"] <= CASE_SPEC["max_volume_mm3"]):
errors.append(f"volume:outside_range:{m['volume_mm3']}")
if not m["watertight"] or not m["winding_consistent"] or m["volume_mm3"] <= 0:
errors.append("solid:must_be_watertight_positive_and_winding_consistent")
if m["connected_shell_count"] != 1:
errors.append(f"solid:must_have_one_connected_exterior_shell:got_{m['connected_shell_count']}")
if m["base_contact_area_mm2"] < CASE_SPEC["min_contact_area_mm2"]:
errors.append(f"base_contact_area:too_small:{m['base_contact_area_mm2']}")
for axis, (got, minimum) in enumerate(zip(m["base_contact_span_mm"], CASE_SPEC["min_contact_span_mm"])):
if got < minimum - TOL:
errors.append(f"base_contact_span_axis_{axis}:too_small:{got}<{minimum}")
min_x_walls = 2.0 * CASE_SPEC["min_contact_span_mm"][1] * CASE_SPEC["base_thickness_mm"]
min_y_walls = 2.0 * CASE_SPEC["min_contact_span_mm"][0] * CASE_SPEC["base_thickness_mm"]
if m["base_x_edge_wall_area_mm2"] < min_x_walls - 1.0:
errors.append(f"base_thickness:x_edge_walls_too_small:{m['base_x_edge_wall_area_mm2']}")
if m["base_y_edge_wall_area_mm2"] < min_y_walls - 1.0:
errors.append(f"base_thickness:y_edge_walls_too_small:{m['base_y_edge_wall_area_mm2']}")
if not (CASE_SPEC["min_fin_count"] <= m["fin_count"] <= CASE_SPEC["max_fin_count"]):
errors.append(f"fin_count:outside_range:{m['fin_count']}")
if any(value < CASE_SPEC["min_fin_thickness_mm"] - TOL for value in m["fin_thicknesses_mm"]):
errors.append(f"fin_thickness:below_{CASE_SPEC['min_fin_thickness_mm']}_mm")
if any(value < CASE_SPEC["min_fin_gap_mm"] - TOL for value in m["fin_gaps_mm"]):
errors.append(f"fin_gap:below_{CASE_SPEC['min_fin_gap_mm']}_mm")
if m["external_surface_area_mm2"] <= 0 or m["external_surface_per_volume"] <= 0:
errors.append("external_surface_metric:non_positive")
return errors
def write_result(result):
for name in ("score.json", "quant_metrics.json"):
try:
(DESKTOP / name).write_text(json.dumps(result, indent=2, sort_keys=True) + "\n", encoding="utf-8")
except Exception:
pass
print("True" if result.get("valid") else "False")
def main():
try:
m = metrics(load_stl(DESKTOP / "optimized.stl"))
errors = design_summary_errors() + hard_errors(m)
score_bits = score_from_metrics(m)
result = {
"case_id": CASE_SPEC["case_id"],
"valid": not errors,
"score": 0.0 if errors else score_bits["score"],
"errors": errors,
"metrics": m | score_bits,
"baseline_metrics": CASE_SPEC["baseline_metrics"],
"reference_metrics": CASE_SPEC["reference_metrics"],
}
except Exception as exc:
result = {"case_id": CASE_SPEC["case_id"], "valid": False, "score": 0.0, "errors": [str(exc)], "metrics": {}}
write_result(result)
if __name__ == "__main__":
main()
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