mirror of
https://github.com/IfcOpenShell/IfcOpenShell.git
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69 lines
2.4 KiB
Python
69 lines
2.4 KiB
Python
# This file was generated with the assistance of an AI coding tool.
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# IfcQuery - IFC model interrogation CLI
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# Copyright (C) 2026 Bruno Postle <bruno@postle.net>
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#
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# This file is part of IfcQuery.
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#
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# IfcQuery is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Lesser General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# IfcQuery is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public License
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# along with IfcQuery. If not, see <http://www.gnu.org/licenses/>.
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from __future__ import annotations
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from typing import Any
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import ifcopenshell
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import ifcopenshell.util.element
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def _element_summary(element: ifcopenshell.entity_instance) -> dict[str, Any]:
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"""Return a minimal summary dict for an element."""
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return {
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"id": element.id(),
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"type": element.is_a(),
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"name": element.Name if hasattr(element, "Name") else None,
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}
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def _build_spatial_node(element: ifcopenshell.entity_instance) -> dict[str, Any]:
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"""Recursively build a spatial tree node."""
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node = _element_summary(element)
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# Get aggregated children (Site in Project, Building in Site, Storey in Building, etc.)
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aggregates = []
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for rel in getattr(element, "IsDecomposedBy", []):
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for child in rel.RelatedObjects:
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aggregates.append(_build_spatial_node(child))
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# Get contained elements (walls, slabs, etc. in a storey/space)
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contained = []
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for rel in getattr(element, "ContainsElements", []):
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for child in rel.RelatedElements:
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contained.append(_element_summary(child))
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if aggregates:
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node["children"] = aggregates
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if contained:
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node["elements"] = contained
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return node
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def tree(model: ifcopenshell.file) -> dict[str, Any] | list[dict[str, Any]]:
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"""Return the spatial hierarchy tree starting from IfcProject."""
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projects = model.by_type("IfcProject")
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if not projects:
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return {"error": "No IfcProject found in model"}
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if len(projects) == 1:
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return _build_spatial_node(projects[0])
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return [_build_spatial_node(p) for p in projects]
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