File size: 10,825 Bytes
5154c4e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
#!/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": [
    "Unassigned"
  ],
  "bbox_ranges_m": {
    "x": [
      7.4,
      9.2
    ],
    "y": [
      5.4,
      7.2
    ],
    "z": [
      7.9,
      9.5
    ]
  },
  "exact_counts": {
    "IfcBuilding": 1,
    "IfcBuildingStorey": 3,
    "IfcProject": 1,
    "IfcSite": 1,
    "IfcSlab": 3,
    "IfcSpace": 3,
    "IfcWall": 12
  },
  "forbidden": [
    "IfcBeam",
    "IfcBuildingElementProxy",
    "IfcColumn",
    "IfcCurtainWall",
    "IfcDoor",
    "IfcRoof",
    "IfcWindow"
  ],
  "min_counts": {},
  "min_file_bytes": 20000,
  "min_shaped_products": 13,
  "space_tokens": [
    "Reception",
    "Studio",
    "Archive"
  ],
  "storey_tokens": [
    "Ground Floor",
    "Level 2",
    "Level 3"
  ],
  "space_levels": {
    "Reception": 0,
    "Studio": 1,
    "Archive": 2
  }
}
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()