HongchengGao's picture
Align task taxonomy and IDs with the updated paper; main evaluation 306
3de3b50 verified
Raw History Blame Contribute Delete
10.9 kB
#!/usr/bin/env python3
import hashlib
import math
import os
import re
from pathlib import Path
import ifcopenshell
import ifcopenshell.geom
import numpy as np
SPEC = {
"absent_space_tokens": [],
"bbox_ranges_m": {
"x": [
9.4,
11.2
],
"y": [
6.4,
8.2
],
"z": [
4.9,
6.5
]
},
"exact_counts": {
"IfcBuilding": 1,
"IfcBuildingStorey": 2,
"IfcProject": 1,
"IfcSite": 1,
"IfcSlab": 2,
"IfcSpace": 4,
"IfcWall": 10
},
"forbidden": [
"IfcBeam",
"IfcBuildingElementProxy",
"IfcColumn",
"IfcCurtainWall",
"IfcDoor",
"IfcRoof",
"IfcWindow"
],
"min_counts": {},
"min_file_bytes": 20000,
"min_shaped_products": 12,
"space_tokens": [
"Lobby",
"Multipurpose Room",
"Upper Activity",
"Reading Room"
],
"storey_tokens": [
"Ground Floor",
"Level 2"
],
"space_levels": {
"Lobby": 0,
"Multipurpose Room": 0,
"Upper Activity": 1,
"Reading Room": 1
}
}
DESKTOP = Path("C:/Users/user/Desktop")
def finish(ok):
print("True" if ok else "False")
raise SystemExit(0)
def norm(value):
text = str(value or "").replace("_", " ").replace("-", " ").lower()
return re.sub(r"\s+", " ", text).strip()
def sha256(path):
h = hashlib.sha256()
with open(path, "rb") as handle:
for chunk in iter(lambda: handle.read(1024 * 1024), b""):
h.update(chunk)
return h.hexdigest()
def app_is_revit(model):
apps = " ".join(
" ".join(str(getattr(app, attr, "") or "") for attr in ("ApplicationIdentifier", "ApplicationFullName", "Version"))
for app in model.by_type("IfcApplication")
)
header = ""
try:
header = model.wrapped_data.header().file_name.originating_system or ""
except Exception:
pass
text = f"{apps} {header}".lower()
return "revit" in text and "archicad" not in text
def unique_global_ids(model):
gids = [entity.GlobalId for entity in model.by_type("IfcRoot") if getattr(entity, "GlobalId", None)]
return bool(gids) and len(gids) == len(set(gids))
def entity_count(model, ifc_class):
return len(model.by_type(ifc_class))
def check_counts(model):
for ifc_class, expected in SPEC["exact_counts"].items():
if entity_count(model, ifc_class) != expected:
return False
for ifc_class, minimum in SPEC["min_counts"].items():
if entity_count(model, ifc_class) < minimum:
return False
for ifc_class in SPEC["forbidden"]:
if entity_count(model, ifc_class) != 0:
return False
return True
def space_label(space):
return norm(f"{getattr(space, 'Name', '')} {getattr(space, 'LongName', '')}")
def check_names(model):
storey_names = [norm(getattr(s, "Name", "")) for s in model.by_type("IfcBuildingStorey")]
for token in SPEC["storey_tokens"]:
if not any(norm(token) in name for name in storey_names):
return False
space_names = [space_label(s) for s in model.by_type("IfcSpace")]
for token in SPEC["space_tokens"]:
if not any(norm(token) in name for name in space_names):
return False
for token in SPEC["absent_space_tokens"]:
if any(norm(token) in name for name in space_names):
return False
return True
def shape_records(model):
settings = ifcopenshell.geom.settings()
try:
settings.set(settings.USE_WORLD_COORDS, True)
except Exception:
pass
records = []
for product in model.by_type("IfcProduct"):
if product.is_a("IfcOpeningElement") or not getattr(product, "Representation", None):
continue
try:
shape = ifcopenshell.geom.create_shape(settings, product)
verts = np.array(shape.geometry.verts, dtype=float).reshape(-1, 3)
except Exception:
continue
if verts.size:
records.append((product, verts))
return records
def check_geometry(model):
records = shape_records(model)
if len(records) < SPEC["min_shaped_products"]:
return False
mins = np.min([verts.min(axis=0) for _, verts in records], axis=0)
maxs = np.max([verts.max(axis=0) for _, verts in records], axis=0)
spans = maxs - mins
for axis, idx in (("x", 0), ("y", 1), ("z", 2)):
low, high = SPEC["bbox_ranges_m"][axis]
value = float(spans[idx])
if not (low <= value <= high) or not math.isfinite(value):
return False
return True
def init_path_for(result_dir):
local = Path(result_dir).parent / "init_file" / "init.ifc"
if local.is_file():
return local
remote = DESKTOP / "init.ifc"
return remote if remote.is_file() else None
def product_bounds(product):
settings = ifcopenshell.geom.settings()
try:
settings.set(settings.USE_WORLD_COORDS, True)
except Exception:
pass
try:
shape = ifcopenshell.geom.create_shape(settings, product)
verts = np.array(shape.geometry.verts, dtype=float).reshape(-1, 3)
except Exception:
return None
if not verts.size:
return None
return tuple(float(value) for value in (*verts.min(axis=0), *verts.max(axis=0)))
def bounds_close(first, second, tolerance=0.015):
return first is not None and second is not None and all(abs(a - b) <= tolerance for a, b in zip(first, second))
def preserved_class_geometry(init_model, result_model, ifc_class):
init_bounds = [b for item in init_model.by_type(ifc_class) if (b := product_bounds(item)) is not None]
result_bounds = [b for item in result_model.by_type(ifc_class) if (b := product_bounds(item)) is not None]
used = set()
for expected in init_bounds:
match = next((index for index, actual in enumerate(result_bounds) if index not in used and bounds_close(actual, expected)), None)
if match is None:
return False
used.add(match)
return True
def exact_space(model, token):
wanted = norm(token)
exact = [space for space in model.by_type("IfcSpace") if norm(getattr(space, "LongName", "")) == wanted]
if len(exact) == 1:
return exact[0]
matches = [space for space in model.by_type("IfcSpace") if wanted in space_label(space)]
return matches[0] if len(matches) == 1 else None
def bounds_volume(bounds):
return max(0.0, bounds[3] - bounds[0]) * max(0.0, bounds[4] - bounds[1]) * max(0.0, bounds[5] - bounds[2])
def overlap_volume(first, second):
spans = [max(0.0, min(first[i + 3], second[i + 3]) - max(first[i], second[i])) for i in range(3)]
return spans[0] * spans[1] * spans[2]
def check_space_geometry(init_model, result_model):
init_spaces = init_model.by_type("IfcSpace")
result_spaces = result_model.by_type("IfcSpace")
init_records = [(space, product_bounds(space)) for space in init_spaces]
result_records = [(space, product_bounds(space)) for space in result_spaces]
if any(bounds is None for _, bounds in init_records + result_records):
return False
init_total = sum(bounds_volume(bounds) for _, bounds in init_records)
result_total = sum(bounds_volume(bounds) for _, bounds in result_records)
if init_total <= 0 or not (0.84 <= result_total / init_total <= 1.02):
return False
envelope = (
min(bounds[0] for _, bounds in init_records), min(bounds[1] for _, bounds in init_records), min(bounds[2] for _, bounds in init_records),
max(bounds[3] for _, bounds in init_records), max(bounds[4] for _, bounds in init_records), max(bounds[5] for _, bounds in init_records),
)
for _, bounds in result_records:
if any(bounds[i] < envelope[i] - 0.02 for i in range(3)) or any(bounds[i + 3] > envelope[i + 3] + 0.02 for i in range(3)):
return False
for index, (_, first) in enumerate(result_records):
for _, second in result_records[index + 1:]:
if overlap_volume(first, second) > 1.0e-5:
return False
z_levels = []
for _, bounds in result_records:
if not any(abs(bounds[2] - level) <= 0.05 for level in z_levels):
z_levels.append(bounds[2])
z_levels.sort()
for token, expected_index in SPEC.get("space_levels", {}).items():
space = exact_space(result_model, token)
if space is None:
return False
bounds = product_bounds(space)
actual_index = min(range(len(z_levels)), key=lambda index: abs(bounds[2] - z_levels[index]))
if actual_index != int(expected_index):
return False
for rule in SPEC.get("axis_orders", []):
axis = {"x": 0, "y": 1, "z": 2}[rule["axis"]]
centers = []
for token in rule["tokens"]:
space = exact_space(result_model, token)
if space is None:
return False
bounds = product_bounds(space)
centers.append((bounds[axis] + bounds[axis + 3]) / 2.0)
if any(second <= first + 0.05 for first, second in zip(centers, centers[1:])):
return False
return True
def check_preserved_geometry(init_model, result_model):
return all(preserved_class_geometry(init_model, result_model, ifc_class) for ifc_class in ("IfcWall", "IfcSlab", "IfcColumn", "IfcBeam"))
def check_sloped_roof(model):
minimum = SPEC.get("roof_slope_min_m")
if minimum is None:
return True
slabs = [slab for slab in model.by_type("IfcSlab") if str(getattr(slab, "PredefinedType", "")).upper() == "ROOF"]
bounds = [product_bounds(slab) for slab in slabs]
if len(bounds) < 2 or any(item is None for item in bounds):
return False
return all(item[5] - item[2] >= float(minimum) for item in bounds)
def evaluate(result_dir):
result_dir = Path(result_dir)
result = result_dir / "result.ifc"
if not result.is_file() or result.stat().st_size < SPEC["min_file_bytes"]:
return False
init = init_path_for(result_dir)
if init is not None and init.is_file() and sha256(init) == sha256(result):
return False
if init is None or not init.is_file():
return False
model = ifcopenshell.open(str(result))
init_model = ifcopenshell.open(str(init))
return (
str(getattr(model, "schema", "")).upper().startswith("IFC4")
and app_is_revit(model)
and unique_global_ids(model)
and check_counts(model)
and check_names(model)
and check_geometry(model)
and check_preserved_geometry(init_model, model)
and check_space_geometry(init_model, model)
and check_sloped_roof(model)
)
def main():
try:
result_dir = Path(os.environ.get("RESULT_DIR", str(DESKTOP)))
finish(evaluate(result_dir))
except Exception:
finish(False)
if __name__ == "__main__":
main()