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from __future__ import annotations
import json
import os
import sys
from pathlib import Path
import numpy as np
import trimesh
CASE_SPEC = {'case_id': 'quant-cli-openscad-parametric-task-05-ubuntu', 'token': 'EWQSCAD05', 'title': 'low-profile ventilated battery shield', 'objective': 'Maximize surface density for a low-profile ventilated shield while penalizing unnecessary height.', 'metric_kind': 'low_profile_surface_density', 'metric_description': 'surface_area/volume with a low-height penalty; thin ventilated shields score higher than tall blocks', 'reference_design': 'thin base plate with perimeter rails and low slats', 'envelope_mm': [115.0, 75.0, 22.0], 'min_bbox_mm': [109.0, 69.0, 12.0], 'min_volume_mm3': 42000.0, 'max_volume_mm3': 76000.0, 'base_thickness_mm': 2.8, 'target_height_mm': 15.0, 'starter_block_size': [105.8, 61.5, 8.36], 'starter_block_center': [57.5, 37.5, 6.98], 'optimized_boxes': [{'name': 'front_rail', 'size': [115.0, 3.0, 12.0], 'center': [57.5, 1.5, 8.8]}, {'name': 'back_rail', 'size': [115.0, 3.0, 12.0], 'center': [57.5, 73.5, 8.8]}, {'name': 'left_rail', 'size': [3.0, 75.0, 12.0], 'center': [1.5, 37.5, 8.8]}, {'name': 'right_rail', 'size': [3.0, 75.0, 12.0], 'center': [113.5, 37.5, 8.8]}, {'name': 'vent_slat_1', 'size': [3.0, 68.0, 13.0], 'center': [15.0, 37.5, 9.3]}, {'name': 'vent_slat_2', 'size': [3.0, 68.0, 13.0], 'center': [27.142857142857142, 37.5, 9.3]}, {'name': 'vent_slat_3', 'size': [3.0, 68.0, 13.0], 'center': [39.285714285714285, 37.5, 9.3]}, {'name': 'vent_slat_4', 'size': [3.0, 68.0, 13.0], 'center': [51.42857142857143, 37.5, 9.3]}, {'name': 'vent_slat_5', 'size': [3.0, 68.0, 13.0], 'center': [63.57142857142857, 37.5, 9.3]}, {'name': 'vent_slat_6', 'size': [3.0, 68.0, 13.0], 'center': [75.71428571428571, 37.5, 9.3]}, {'name': 'vent_slat_7', 'size': [3.0, 68.0, 13.0], 'center': [87.85714285714286, 37.5, 9.3]}, {'name': 'vent_slat_8', 'size': [3.0, 68.0, 13.0], 'center': [100.0, 37.5, 9.3]}], 'hard_constraints': ['Produce the required open geometry output file rather than only reporting metrics.', 'Stay inside the stated bounding envelope and above the minimum useful spans.', 'Stay within the stated material-volume range.', 'Do not read ground_truth, edit eval.py, or fabricate score/metric files.'], 'invalid_conditions': ['Missing, unparsable, empty, or implausibly small STL geometry.', 'Bounding-box or volume hard-constraint violation.', 'Self-reported metrics without valid geometry.', 'Native project files used as the only deliverable.'], 'baseline_metrics': {'bbox_mm': [115.0, 75.0, 11.16], 'volume_mm3': 78546.012, 'surface_area_mm2': 34124.656, 'surface_per_volume': 0.43445434}, 'reference_metrics': {'bbox_mm': [115.0, 75.0, 15.8], 'volume_mm3': 58614.0, 'surface_area_mm2': 41914.0, 'surface_per_volume': 0.71508513}, 'reference_score': {'metric_kind': 'low_profile_surface_density', 'metric_value': 0.68648173, 'surface_per_volume': 0.71508513, 'raw_efficiency_score': 1.0, 'volume_factor': 1.0, 'height_factor': 0.885714, 'score': 0.995429}}
CASE_SPEC.update(
{
"envelope_min_mm": [0.0, 0.0, 0.0],
"grid_pitch_mm": 1.0,
"contact_z_mm": 0.0,
"vent_probe_z_mm": 10.0,
"min_contact_coverage_ratio": 0.80,
"min_contact_component_ratio": 0.95,
"min_vent_open_ratio": 0.35,
"min_slat_count": 4,
"max_slat_count": 16,
"min_slat_thickness_mm": 2.0,
"min_slat_gap_mm": 3.0,
}
)
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):
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):
root_a, root_b = find(int(a)), find(int(b))
if root_a != root_b:
parent[root_b] = root_a
edge_owner = {}
for face_index, face in enumerate(faces):
a, b, c = (int(value) for value 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 vertical_hit_z(x, y, triangle):
a, b, c = triangle
v0 = c[:2] - a[:2]
v1 = b[:2] - a[:2]
v2 = np.asarray([x, y], dtype=float) - a[:2]
denominator = v0[0] * v1[1] - v1[0] * v0[1]
if abs(float(denominator)) < 1e-10:
return None
u = (v2[0] * v1[1] - v1[0] * v2[1]) / denominator
v = (v0[0] * v2[1] - v2[0] * v0[1]) / denominator
if u < -1e-9 or v < -1e-9 or u + v > 1.0 + 1e-9:
return None
return float(a[2] + u * (c[2] - a[2]) + v * (b[2] - a[2]))
def point_is_solid(triangles, x, y, z):
hits = []
for triangle in triangles:
hit = vertical_hit_z(x, y, triangle)
if hit is None or hit <= z + 1e-7:
continue
if all(abs(hit - previous) > 1e-6 for previous in hits):
hits.append(hit)
return len(hits) % 2 == 1
def raster_mask(mesh, z, planar_only=False):
pitch = CASE_SPEC["grid_pitch_mm"]
width, depth = CASE_SPEC["envelope_mm"][:2]
xs = np.arange(0.5 * pitch, width, pitch)
ys = np.arange(0.5 * pitch, depth, pitch)
triangles = np.asarray(mesh.triangles, dtype=float)
if planar_only:
triangles = triangles[np.max(np.abs(triangles[:, :, 2] - z), axis=1) <= TOL]
mask = np.zeros((len(ys), len(xs)), dtype=bool)
for row, y in enumerate(ys):
for column, x in enumerate(xs):
if planar_only:
mask[row, column] = any(
(hit := vertical_hit_z(x, y, triangle)) is not None and abs(hit - z) <= TOL
for triangle in triangles
)
else:
mask[row, column] = point_is_solid(triangles, x, y, z)
return mask
def component_sizes(mask):
visited = np.zeros_like(mask, dtype=bool)
sizes = []
rows, columns = mask.shape
for row in range(rows):
for column in range(columns):
if not mask[row, column] or visited[row, column]:
continue
stack = [(row, column)]
visited[row, column] = True
size = 0
while stack:
current_row, current_column = stack.pop()
size += 1
for next_row, next_column in (
(current_row - 1, current_column),
(current_row + 1, current_column),
(current_row, current_column - 1),
(current_row, current_column + 1),
):
if (
0 <= next_row < rows
and 0 <= next_column < columns
and mask[next_row, next_column]
and not visited[next_row, next_column]
):
visited[next_row, next_column] = True
stack.append((next_row, next_column))
sizes.append(size)
return sizes
def line_runs(line):
runs = []
start = None
for index, occupied in enumerate(np.asarray(line, dtype=bool)):
if occupied and start is None:
start = index
elif not occupied and start is not None:
runs.append((start, index - 1))
start = None
if start is not None:
runs.append((start, len(line) - 1))
return runs
def separated_feature_metrics(mask):
pitch = CASE_SPEC["grid_pitch_mm"]
candidates = []
for line in list(mask) + list(mask.T):
runs = line_runs(line)
if not runs:
continue
widths = [(end - start + 1) * pitch for start, end in runs]
gaps = [(runs[index + 1][0] - runs[index][1] - 1) * pitch for index in range(len(runs) - 1)]
candidates.append(
{
"count": len(runs),
"min_width": min(widths),
"min_gap": min(gaps, default=0.0),
}
)
best = max(candidates, key=lambda item: (item["count"], item["min_gap"], item["min_width"]))
return best
def functional_metrics(mesh):
contact = raster_mask(mesh, CASE_SPEC["contact_z_mm"], planar_only=True)
probe = raster_mask(mesh, CASE_SPEC["vent_probe_z_mm"])
contact_sizes = component_sizes(contact)
features = separated_feature_metrics(probe)
return {
"contact_coverage_ratio": round(float(contact.mean()), 6),
"largest_contact_component_ratio": round(
max(contact_sizes, default=0) / max(int(contact.sum()), 1), 6
),
"vent_probe_z_mm": CASE_SPEC["vent_probe_z_mm"],
"vent_slat_run_count": features["count"],
"min_vent_slat_width_mm": round(features["min_width"], 4),
"min_vent_clear_gap_mm": round(features["min_gap"], 4),
"vent_probe_open_ratio": round(1.0 - float(probe.mean()), 6),
}
def metrics(mesh):
bounds = np.asarray(mesh.bounds, dtype=float)
dims = (bounds[1] - bounds[0]).tolist()
volume = float(mesh.volume)
area = float(mesh.area)
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),
"surface_area_mm2": round(area, 4),
"surface_per_volume": round(area / max(volume, 1e-9), 8),
"watertight": bool(mesh.is_watertight),
"winding_consistent": bool(mesh.is_winding_consistent),
"is_volume": bool(mesh.is_volume),
"connected_shell_count": connected_shell_count(mesh),
}
result.update(functional_metrics(mesh))
return result
def metric_value(m):
dims = m["bbox_mm"]
vol = max(m["volume_mm3"], 1e-9)
surface = m["surface_area_mm2"]
kind = CASE_SPEC["metric_kind"]
if kind == "surface_per_volume":
return surface / vol
if kind == "footprint_per_volume":
return (dims[0] * dims[1]) / vol
if kind == "span_height_per_volume":
return (dims[0] * dims[2]) / vol
if kind == "clearance_surface_mix":
return 0.72 * (surface / vol) + 0.28 * ((dims[1] * dims[2]) / vol)
if kind == "low_profile_surface_density":
return (surface / vol) * clamp(1.0 - 0.35 * max(0.0, dims[2] - CASE_SPEC["target_height_mm"]) / max(CASE_SPEC["envelope_mm"][2] - CASE_SPEC["target_height_mm"], 1.0), 0.65, 1.05)
raise ValueError("unknown metric_kind: " + str(kind))
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 = metric_value(m)
baseline = metric_value(CASE_SPEC["baseline_metrics"])
reference = metric_value(CASE_SPEC["reference_metrics"])
raw = (eff - baseline) / max(reference - baseline, 1e-9)
vol = m["volume_mm3"]
volume_factor = clamp((CASE_SPEC["max_volume_mm3"] - vol) / max(CASE_SPEC["max_volume_mm3"] - CASE_SPEC["reference_metrics"]["volume_mm3"], 1.0), 0.0, 1.10)
height_factor = clamp(
(CASE_SPEC["envelope_mm"][2] - m["bbox_mm"][2])
/ max(CASE_SPEC["envelope_mm"][2] - CASE_SPEC["target_height_mm"], 1.0),
0.0,
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),
"surface_per_volume": round(m["surface_area_mm2"] / max(m["volume_mm3"], 1e-9), 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 = []
dims = m["bbox_mm"]
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}")
for axis, (got, maximum) in enumerate(zip(m["bounds_max_mm"], CASE_SPEC["envelope_mm"])):
if got > maximum + TOL:
errors.append(f"bounds_max_axis_{axis}:above_envelope:{got}>{maximum}")
for i, (got, max_allowed) in enumerate(zip(dims, CASE_SPEC["envelope_mm"])):
if got > max_allowed + TOL:
errors.append(f"bbox_axis_{i}:too_large:{got}>{max_allowed}")
for i, (got, min_allowed) in enumerate(zip(dims, CASE_SPEC["min_bbox_mm"])):
if got < min_allowed - TOL:
errors.append(f"bbox_axis_{i}:too_small:{got}<{min_allowed}")
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 not m["is_volume"]:
errors.append("solid:must_be_watertight_positive_and_winding_consistent")
if m["connected_shell_count"] != 1:
errors.append(f"solid:must_have_one_edge_connected_shell:got_{m['connected_shell_count']}")
if m["contact_coverage_ratio"] < CASE_SPEC["min_contact_coverage_ratio"]:
errors.append(f"base_contact:coverage_too_low:{m['contact_coverage_ratio']}")
if m["largest_contact_component_ratio"] < CASE_SPEC["min_contact_component_ratio"]:
errors.append(f"base_contact:largest_component_too_small:{m['largest_contact_component_ratio']}")
if not (CASE_SPEC["min_slat_count"] <= m["vent_slat_run_count"] <= CASE_SPEC["max_slat_count"]):
errors.append(f"ventilation:slat_count_outside_range:{m['vent_slat_run_count']}")
if m["min_vent_slat_width_mm"] < CASE_SPEC["min_slat_thickness_mm"]:
errors.append(f"ventilation:slat_thickness_too_small:{m['min_vent_slat_width_mm']}")
if m["min_vent_clear_gap_mm"] < CASE_SPEC["min_slat_gap_mm"]:
errors.append(f"ventilation:clear_gap_too_small:{m['min_vent_clear_gap_mm']}")
if m["vent_probe_open_ratio"] < CASE_SPEC["min_vent_open_ratio"]:
errors.append(f"ventilation:open_ratio_too_low:{m['vent_probe_open_ratio']}")
if m["surface_area_mm2"] <= 0 or m["surface_per_volume"] <= 0:
errors.append("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():
errors = []
try:
m = metrics(load_stl(DESKTOP / "optimized.stl"))
errors.extend(design_summary_errors())
errors.extend(hard_errors(m))
score_bits = score_from_metrics(m)
score = 0.0 if errors else score_bits["score"]
result = {
"case_id": CASE_SPEC["case_id"],
"valid": not errors,
"score": round(score, 6),
"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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