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https://github.com/IfcOpenShell/IfcOpenShell.git
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Add BBIM_DimensionTarget: parametric dimensions anchored to element geometry
New modal operator (bim.set_dimension_anchor) anchors dimension vertices to IFC element faces. Anchors are stored as JSON in a BBIM_DimensionTarget pset on the IfcAnnotation and resolved via tessellation at regeneration time. - resolve_anchor.py / regenerate_dimension.py: new ifcopenshell API modules - bim.set_dimension_anchor: 2-phase Object Mode modal (pick vertex → pick face) - bim.regenerate_dimensions: recomputes all parametric dimensions - Auto-regeneration via depsgraph_update_post when referenced elements move - placement_override reads Blender matrix_world for G-moved elements - Plan-view annotations flattened to annotation plane (Z=0 in local space) - IfcIndexedPolyCurve.Segments rebuilt to handle n-point chains correctly
This commit is contained in:
Ryan Schultz
@@ -25,12 +25,19 @@ annotations may have relationships which indicate smart data being populated.
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from .. import wrap_usecases
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from .assign_product import assign_product
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from .edit_text_literal import edit_text_literal
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from .regenerate_dimension import regenerate_dimension, get_dimension_segment_lengths
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from .resolve_anchor import build_anchor_from_hit, make_world_anchor, resolve_anchor
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from .unassign_product import unassign_product
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wrap_usecases(__path__, __name__)
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__all__ = [
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"assign_product",
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"build_anchor_from_hit",
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"edit_text_literal",
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"get_dimension_segment_lengths",
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"make_world_anchor",
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"regenerate_dimension",
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"resolve_anchor",
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"unassign_product",
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]
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@@ -0,0 +1,238 @@
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# IfcOpenShell - IFC toolkit and geometry engine
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# Copyright (C) 2021 Dion Moult <dion@thinkmoult.com>
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#
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# This file is part of IfcOpenShell.
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#
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# IfcOpenShell 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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# IfcOpenShell 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 IfcOpenShell. If not, see <http://www.gnu.org/licenses/>.
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"""Regenerate a parametric dimension annotation from its BBIM_DimensionTarget anchors.
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This module operates purely on IFC data. It:
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1. Reads the ``Anchors`` JSON array from the ``BBIM_DimensionTarget`` pset on an
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``IfcAnnotation``.
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2. Resolves each anchor to a world-space point (IFC project units) using
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``resolve_anchor``.
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3. Computes per-segment distances and updates (or creates) the linked
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``IfcMetric`` + ``IfcRelAssociatesConstraint`` entities.
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4. Returns the ordered list of resolved world-space points so that the
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Bonsai operator layer can update the Blender curve object.
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Updating the Blender curve (converting IFC world coords → annotation local
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coords) is the *caller's* responsibility and does **not** happen here.
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"""
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from __future__ import annotations
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import json
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import math
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from typing import Optional
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import ifcopenshell
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import ifcopenshell.api.owner
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import ifcopenshell.api.pset
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import ifcopenshell.geom
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import ifcopenshell.guid
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import ifcopenshell.util.element
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from .resolve_anchor import resolve_anchor
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_PSET_NAME = "BBIM_DimensionTarget"
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_METRIC_INTENT_PREFIX = "PARAMETRIC_DIMENSION_SEG_"
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def regenerate_dimension(
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file: ifcopenshell.file,
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annotation: ifcopenshell.entity_instance,
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settings: Optional[ifcopenshell.geom.settings] = None,
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shape_cache: Optional[dict] = None,
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placement_override: Optional[dict] = None,
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) -> list[tuple[float, float, float]]:
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"""Regenerate a parametric dimension from its stored anchor references.
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Resolves every anchor in ``BBIM_DimensionTarget.Anchors``, updates the
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per-segment ``IfcMetric`` values (creating them when absent), and returns
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the resolved world-space points in metres.
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:param file: The open IFC file.
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:param annotation: An ``IfcAnnotation`` with a ``BBIM_DimensionTarget`` pset.
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:param settings: Geometry settings for tessellation (shared across calls).
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:param shape_cache: Shape cache dict (shared across calls for performance).
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:param placement_override: Optional dict mapping element STEP id → 4×4 numpy
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matrix (metres, row-major). Pass ``{elem.id(): np.array(obj.matrix_world)}``
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for each referenced element so that viewport moves not yet synced to the
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IFC ``ObjectPlacement`` are reflected. See ``resolve_anchor`` for details.
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:return: Ordered list of ``(x, y, z)`` tuples, one per anchor.
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Empty list if the pset is missing or malformed.
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"""
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pset_data = ifcopenshell.util.element.get_pset(annotation, _PSET_NAME)
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if not pset_data or "Anchors" not in pset_data:
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return []
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try:
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anchors: list[dict] = json.loads(pset_data["Anchors"])
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except (json.JSONDecodeError, TypeError):
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return []
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if not anchors:
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return []
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if shape_cache is None:
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shape_cache = {}
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resolved: list[Optional[tuple]] = []
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for anchor in anchors:
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pt = resolve_anchor(file, anchor, settings, shape_cache, placement_override)
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if pt is None:
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pt = tuple(anchor["pt"]) if anchor.get("pt") else (0.0, 0.0, 0.0)
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resolved.append(pt)
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anchor["pt"] = list(pt)
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pset_entity_id = pset_data.get("id")
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if pset_entity_id:
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pset_entity = file.by_id(pset_entity_id)
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ifcopenshell.api.pset.edit_pset(
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file,
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pset=pset_entity,
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properties={"Anchors": json.dumps(anchors)},
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)
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n_segments = len(resolved) - 1
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if n_segments >= 1:
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existing_metrics = _get_segment_metrics(file, annotation)
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_sync_segment_metrics(file, annotation, resolved, existing_metrics)
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return [pt for pt in resolved if pt is not None]
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def get_dimension_segment_lengths(
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file: ifcopenshell.file,
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annotation: ifcopenshell.entity_instance,
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) -> list[float]:
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"""Return the segment lengths for a parametric dimension from stored anchor pts.
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Distances are computed from the cached ``pt`` fields in ``BBIM_DimensionTarget.Anchors``
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(in metres, matching ifcopenshell.geom output). Returns an empty list if the pset
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is absent or malformed.
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"""
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pset_data = ifcopenshell.util.element.get_pset(annotation, _PSET_NAME)
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if not pset_data or not pset_data.get("Anchors"):
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return []
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try:
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anchors: list[dict] = json.loads(pset_data["Anchors"])
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except Exception:
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return []
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lengths: list[float] = []
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for i in range(len(anchors) - 1):
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pt_a = anchors[i].get("pt")
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pt_b = anchors[i + 1].get("pt")
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if pt_a and pt_b:
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lengths.append(_dist(tuple(pt_a), tuple(pt_b)))
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else:
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lengths.append(0.0)
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return lengths
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# ---------------------------------------------------------------------------
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# IfcMetric / IfcRelAssociatesConstraint management
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# ---------------------------------------------------------------------------
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def _get_segment_metrics(
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file: ifcopenshell.file,
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annotation: ifcopenshell.entity_instance,
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) -> dict[int, ifcopenshell.entity_instance]:
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"""Return {segment_index: IfcMetric} for all constraint rels on the annotation."""
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metrics: dict[int, ifcopenshell.entity_instance] = {}
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for rel in annotation.HasAssociations:
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if not rel.is_a("IfcRelAssociatesConstraint"):
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continue
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intent: str = rel.Intent or ""
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if not intent.startswith(_METRIC_INTENT_PREFIX):
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continue
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try:
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seg_idx = int(intent[len(_METRIC_INTENT_PREFIX):])
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except ValueError:
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continue
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constraint = rel.RelatingConstraint
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if constraint.is_a("IfcMetric"):
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metrics[seg_idx] = constraint
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return metrics
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def _sync_segment_metrics(
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file: ifcopenshell.file,
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annotation: ifcopenshell.entity_instance,
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resolved_pts: list[tuple],
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existing: dict[int, ifcopenshell.entity_instance],
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) -> None:
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"""Create missing and update existing IfcMetric entities for each segment."""
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n_segments = len(resolved_pts) - 1
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seen_guids: set[str] = set()
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# Build a lookup of which elements are at each anchor endpoint
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pset_data = ifcopenshell.util.element.get_pset(annotation, _PSET_NAME)
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anchors: list[dict] = []
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if pset_data and pset_data.get("Anchors"):
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try:
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anchors = json.loads(pset_data["Anchors"])
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except Exception:
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pass
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for seg_idx in range(n_segments):
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if seg_idx in existing:
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pass # metric already exists; association is still valid
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else:
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# Create new IfcMetric + IfcRelAssociatesConstraint
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# DataValue is IfcMetricValueSelect (entity-only SELECT in IFC4) — omit it;
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# the measured distance is derivable from the anchor pt fields.
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metric = file.create_entity(
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"IfcMetric",
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Name=f"seg_{seg_idx}",
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ConstraintGrade="ADVISORY",
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Benchmark="EQUALTO",
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)
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# Gather related products for this segment (the two anchor elements)
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related: list[ifcopenshell.entity_instance] = [annotation]
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for anchor_idx in (seg_idx, seg_idx + 1):
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if anchor_idx < len(anchors):
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guid = anchors[anchor_idx].get("guid")
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if guid and guid not in seen_guids:
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try:
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elem = file.by_guid(guid)
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related.append(elem)
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seen_guids.add(guid)
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except Exception:
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pass
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file.create_entity(
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"IfcRelAssociatesConstraint",
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GlobalId=ifcopenshell.guid.new(),
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OwnerHistory=ifcopenshell.api.owner.create_owner_history(file),
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Intent=f"{_METRIC_INTENT_PREFIX}{seg_idx}",
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RelatingConstraint=metric,
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RelatedObjects=related,
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)
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# Remove orphaned metrics for segments that no longer exist
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for seg_idx, metric in existing.items():
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if seg_idx >= n_segments:
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for rel in file.get_inverse(metric):
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if rel.is_a("IfcRelAssociatesConstraint"):
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file.remove(rel)
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file.remove(metric)
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def _dist(a: tuple, b: tuple) -> float:
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return math.sqrt((a[0] - b[0]) ** 2 + (a[1] - b[1]) ** 2 + (a[2] - b[2]) ** 2)
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@@ -0,0 +1,696 @@
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# IfcOpenShell - IFC toolkit and geometry engine
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# Copyright (C) 2021 Dion Moult <dion@thinkmoult.com>
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#
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# This file is part of IfcOpenShell.
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#
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# IfcOpenShell 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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# IfcOpenShell 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 IfcOpenShell. If not, see <http://www.gnu.org/licenses/>.
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"""Resolve a parametric dimension anchor to a world-space coordinate in metres.
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NOTE ON COORDINATE SPACE
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ifcopenshell.geom.create_shape() always outputs geometry in **metres** (its
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internal unit), regardless of the IFC project's declared length unit (feet, mm,
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etc.). All anchor coordinates (``pt``, ``hint``, fingerprint ``centroid``) are
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therefore stored in metres, which is also Blender world space. The IFC
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project's unit_scale is NOT applied here. Callers that need IFC project units
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must divide by ``ifcopenshell.util.unit.calculate_unit_scale(file)`` themselves.
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Anchor schema (JSON-serialisable dict stored in BBIM_DimensionTarget.Anchors):
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{
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"guid": str | None, # element GlobalId; None → WORLD type (free point)
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"type": str, # "FACE" | "CIRCLE_CENTER" | "WORLD"
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"addr": {
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"method": str, # "ANALYTIC" | "TESS_INDEX" | "TESS_FINGERPRINT"
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"repr_id": int, # STEP id of representation item (ANALYTIC / TESS_INDEX)
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"repr_type": str, # IFC class of representation item
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"face_role": str, # "TOP" | "BOTTOM" | "SIDE_<n>" (IfcExtrudedAreaSolid only)
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"tess_index": int, # coplanar face-group index (-1 = skip)
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"fingerprint": {
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"normal": [x, y, z], # world-space unit normal (IFC project units)
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"area": float, # total face area
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"centroid": [x, y, z] # area-weighted centroid
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}
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} | None,
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"hint": [x, y, z] | None, # original click position for disambiguation
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"pt": [x, y, z] # last resolved position — used as fallback
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}
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"""
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from __future__ import annotations
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import math
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from typing import Optional
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import ifcopenshell
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import ifcopenshell.geom
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import ifcopenshell.util.placement
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import ifcopenshell.util.unit
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# ---------------------------------------------------------------------------
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# Public API
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# ---------------------------------------------------------------------------
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def resolve_anchor(
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file: ifcopenshell.file,
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anchor: dict,
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settings: Optional[ifcopenshell.geom.settings] = None,
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shape_cache: Optional[dict] = None,
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placement_override: Optional[dict] = None,
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) -> Optional[tuple[float, float, float]]:
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"""Resolve an anchor dict to a world-space point in metres.
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Resolution order:
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1. WORLD / null guid → return stored ``pt`` directly.
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2. ANALYTIC for IfcExtrudedAreaSolid → analytical TOP/BOTTOM face centre.
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3. TESS_INDEX → centroid of a pre-recorded face group by index.
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4. TESS_FINGERPRINT → best face group matched by normal + centroid proximity.
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5. Fallback → stored ``pt``.
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:param file: The open IFC file.
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:param anchor: Anchor descriptor dict.
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:param settings: ifcopenshell.geom settings; created automatically when None.
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:param shape_cache: Mutable dict keyed by element STEP id to cache shapes.
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:param placement_override: Optional dict mapping element STEP id → 4×4 numpy
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matrix (row-major, metres). When provided, this matrix is used instead of
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``element.ObjectPlacement`` for the local→world transform. Pass the
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Blender object's ``matrix_world`` here so that elements moved in the
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viewport but not yet explicitly synced to IFC are handled correctly.
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:return: ``(x, y, z)`` in metres, or ``None``.
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"""
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anchor_type = anchor.get("type", "WORLD")
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guid = anchor.get("guid")
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if anchor_type == "WORLD" or not guid:
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return _pt_or_none(anchor.get("pt"))
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try:
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element = file.by_guid(guid)
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except Exception:
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return _pt_or_none(anchor.get("pt"))
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addr = anchor.get("addr") or {}
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method = addr.get("method", "TESS_FINGERPRINT")
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# --- 1. Analytical path (fast, exact) ---
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if method == "ANALYTIC" and addr.get("repr_type") == "IfcExtrudedAreaSolid":
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pt = _resolve_extruded_area_solid_analytic(file, element, addr, placement_override)
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if pt is not None:
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return pt
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# --- 2 & 3. Tessellation path (universal) ---
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shape = _get_shape(file, element, settings, shape_cache)
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if shape is None:
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return _pt_or_none(anchor.get("pt"))
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verts, tris = _extract_mesh(shape)
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if not tris:
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return _pt_or_none(anchor.get("pt"))
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groups = _group_coplanar_tris(verts, tris)
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group_props = [_face_group_props(g, verts, tris) for g in groups]
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# group_props centroids/normals are in LOCAL metres (no USE_WORLD_COORDS).
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# Build world-space equivalents using placement_override (Blender matrix_world)
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# when available, otherwise fall back to element.ObjectPlacement from IFC.
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world_group_props = [
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{
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"centroid": _local_to_world_m(file, element, gp["centroid"], placement_override),
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"normal": _rotate_local_to_world(element, gp["normal"], placement_override),
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"area": gp["area"],
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}
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for gp in group_props
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]
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# TESS_INDEX (fast, index into the cached face-group list)
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tess_index = addr.get("tess_index", -1)
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if 0 <= tess_index < len(groups):
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return world_group_props[tess_index]["centroid"]
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# TESS_FINGERPRINT (robust across topology changes)
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fingerprint = addr.get("fingerprint")
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hint = anchor.get("hint")
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if fingerprint:
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pt = _find_by_fingerprint(world_group_props, fingerprint, hint)
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if pt is not None:
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return pt
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return _pt_or_none(anchor.get("pt"))
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def build_anchor_from_hit(
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file: ifcopenshell.file,
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element: ifcopenshell.entity_instance,
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hit_location_ifc: tuple[float, float, float],
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hit_normal_ifc: tuple[float, float, float],
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settings: Optional[ifcopenshell.geom.settings] = None,
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shape_cache: Optional[dict] = None,
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placement_override: Optional[dict] = None,
|
||||
) -> dict:
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"""Build an anchor dict from a viewport ray-cast hit.
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Tessellates the element, finds the best-matching face group for the hit
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normal/location, computes the fingerprint, and optionally detects an
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IfcExtrudedAreaSolid face role (TOP/BOTTOM) for the analytical path.
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:param file: The open IFC file.
|
||||
:param element: The IFC element that was hit.
|
||||
:param hit_location_ifc: Hit point in metres (world space).
|
||||
:param hit_normal_ifc: Face normal at the hit point (world space, unit vec).
|
||||
:param settings: Geometry settings for tessellation.
|
||||
:param shape_cache: Mutable shape-cache dict.
|
||||
:param placement_override: Optional dict mapping element STEP id → 4×4 numpy
|
||||
matrix (metres). See ``resolve_anchor`` for details.
|
||||
:return: Anchor dict ready for JSON serialisation into BBIM_DimensionTarget.
|
||||
"""
|
||||
shape = _get_shape(file, element, settings, shape_cache)
|
||||
|
||||
tess_index = -1
|
||||
fingerprint: dict = {
|
||||
"normal": list(hit_normal_ifc),
|
||||
"area": 0.0,
|
||||
"centroid": list(hit_location_ifc),
|
||||
}
|
||||
|
||||
if shape is not None:
|
||||
verts, tris = _extract_mesh(shape)
|
||||
groups = _group_coplanar_tris(verts, tris)
|
||||
local_group_props = [_face_group_props(g, verts, tris) for g in groups]
|
||||
world_group_props = [
|
||||
{
|
||||
"centroid": _local_to_world_m(file, element, gp["centroid"], placement_override),
|
||||
"normal": _rotate_local_to_world(element, gp["normal"], placement_override),
|
||||
"area": gp["area"],
|
||||
}
|
||||
for gp in local_group_props
|
||||
]
|
||||
best = _best_group(world_group_props, hit_normal_ifc, hit_location_ifc)
|
||||
if best is not None:
|
||||
tess_index, props = best
|
||||
fingerprint = {
|
||||
"normal": list(props["normal"]),
|
||||
"area": props["area"],
|
||||
"centroid": list(props["centroid"]),
|
||||
}
|
||||
|
||||
repr_type, repr_id, face_role = _detect_extruded_face(file, element, hit_location_ifc, hit_normal_ifc)
|
||||
method = "ANALYTIC" if repr_type == "IfcExtrudedAreaSolid" else "TESS_FINGERPRINT"
|
||||
|
||||
return {
|
||||
"guid": element.GlobalId,
|
||||
"type": "FACE",
|
||||
"addr": {
|
||||
"method": method,
|
||||
"repr_id": repr_id,
|
||||
"repr_type": repr_type,
|
||||
"face_role": face_role,
|
||||
"tess_index": tess_index,
|
||||
"fingerprint": fingerprint,
|
||||
},
|
||||
"hint": list(hit_location_ifc),
|
||||
"pt": list(hit_location_ifc),
|
||||
}
|
||||
|
||||
|
||||
def make_world_anchor(pt_ifc: tuple[float, float, float]) -> dict:
|
||||
"""Build a free-floating (WORLD) anchor — not connected to any element."""
|
||||
return {
|
||||
"guid": None,
|
||||
"type": "WORLD",
|
||||
"addr": None,
|
||||
"hint": None,
|
||||
"pt": list(pt_ifc),
|
||||
}
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Mesh extraction helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _get_shape(file, element, settings, shape_cache):
|
||||
if shape_cache is None:
|
||||
shape_cache = {}
|
||||
elem_id = element.id()
|
||||
if elem_id in shape_cache:
|
||||
return shape_cache[elem_id]
|
||||
|
||||
if settings is None:
|
||||
settings = ifcopenshell.geom.settings()
|
||||
# Do NOT set USE_WORLD_COORDS — tessellate in local (element-origin) space.
|
||||
# The geom kernel caches by representation ID; with USE_WORLD_COORDS=True,
|
||||
# moving an element would return stale world-space coords from the cache.
|
||||
# We apply the current placement manually via placement_override.
|
||||
settings.set("APPLY_DEFAULT_MATERIALS", False)
|
||||
|
||||
try:
|
||||
shape = ifcopenshell.geom.create_shape(settings, element)
|
||||
except Exception:
|
||||
shape = None
|
||||
|
||||
shape_cache[elem_id] = shape
|
||||
return shape
|
||||
|
||||
|
||||
def _local_to_world_m(
|
||||
file: ifcopenshell.file,
|
||||
element: ifcopenshell.entity_instance,
|
||||
local_pt_m: tuple,
|
||||
placement_override: Optional[dict] = None,
|
||||
) -> tuple[float, float, float]:
|
||||
"""Convert a local-space point (metres, from create_shape without USE_WORLD_COORDS)
|
||||
to a world-space point in metres.
|
||||
|
||||
When *placement_override* contains the element's STEP id, that 4×4 matrix
|
||||
(row-major, already in metres — typically ``np.array(obj.matrix_world)``) is
|
||||
used instead of reading ``element.ObjectPlacement`` from the IFC file. This
|
||||
ensures that elements moved in the Blender viewport but not yet explicitly
|
||||
synced to IFC (via "Edit Object Placement") are handled correctly.
|
||||
|
||||
Without an override, falls back to ``get_local_placement`` which reads the IFC
|
||||
placement and scales IFC-unit translation to metres via ``unit_scale``.
|
||||
"""
|
||||
x, y, z = float(local_pt_m[0]), float(local_pt_m[1]), float(local_pt_m[2])
|
||||
if placement_override is not None and element.id() in placement_override:
|
||||
m = placement_override[element.id()] # 4×4, metres, row-major
|
||||
return (
|
||||
float(m[0][0] * x + m[0][1] * y + m[0][2] * z + m[0][3]),
|
||||
float(m[1][0] * x + m[1][1] * y + m[1][2] * z + m[1][3]),
|
||||
float(m[2][0] * x + m[2][1] * y + m[2][2] * z + m[2][3]),
|
||||
)
|
||||
unit_scale = ifcopenshell.util.unit.calculate_unit_scale(file)
|
||||
m = ifcopenshell.util.placement.get_local_placement(element.ObjectPlacement)
|
||||
return (
|
||||
float(m[0][0] * x + m[0][1] * y + m[0][2] * z + m[0][3] * unit_scale),
|
||||
float(m[1][0] * x + m[1][1] * y + m[1][2] * z + m[1][3] * unit_scale),
|
||||
float(m[2][0] * x + m[2][1] * y + m[2][2] * z + m[2][3] * unit_scale),
|
||||
)
|
||||
|
||||
|
||||
def _rotate_local_to_world(
|
||||
element: ifcopenshell.entity_instance,
|
||||
local_vec: tuple,
|
||||
placement_override: Optional[dict] = None,
|
||||
) -> tuple[float, float, float]:
|
||||
"""Rotate a direction vector from local to world space (no translation)."""
|
||||
x, y, z = float(local_vec[0]), float(local_vec[1]), float(local_vec[2])
|
||||
if placement_override is not None and element.id() in placement_override:
|
||||
m = placement_override[element.id()]
|
||||
return (
|
||||
float(m[0][0] * x + m[0][1] * y + m[0][2] * z),
|
||||
float(m[1][0] * x + m[1][1] * y + m[1][2] * z),
|
||||
float(m[2][0] * x + m[2][1] * y + m[2][2] * z),
|
||||
)
|
||||
m = ifcopenshell.util.placement.get_local_placement(element.ObjectPlacement)
|
||||
return (
|
||||
float(m[0][0] * x + m[0][1] * y + m[0][2] * z),
|
||||
float(m[1][0] * x + m[1][1] * y + m[1][2] * z),
|
||||
float(m[2][0] * x + m[2][1] * y + m[2][2] * z),
|
||||
)
|
||||
|
||||
|
||||
def _extract_mesh(shape) -> tuple[list[tuple], list[tuple]]:
|
||||
"""Return (verts, tris) from a tessellated shape."""
|
||||
vf = shape.geometry.verts
|
||||
ff = shape.geometry.faces
|
||||
verts = [(vf[i * 3], vf[i * 3 + 1], vf[i * 3 + 2]) for i in range(len(vf) // 3)]
|
||||
tris = [(ff[i * 3], ff[i * 3 + 1], ff[i * 3 + 2]) for i in range(len(ff) // 3)]
|
||||
return verts, tris
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Coplanar face grouping
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
_NORMAL_THRESHOLD = 0.005 # max angle deviation between coplanar normals (~0.3°)
|
||||
_PLANE_THRESHOLD = 1e-4 # max distance from origin along normal (metres — matches geom output)
|
||||
|
||||
|
||||
def _tri_normal(v0, v1, v2) -> tuple[float, float, float]:
|
||||
ax, ay, az = v1[0] - v0[0], v1[1] - v0[1], v1[2] - v0[2]
|
||||
bx, by, bz = v2[0] - v0[0], v2[1] - v0[1], v2[2] - v0[2]
|
||||
nx = ay * bz - az * by
|
||||
ny = az * bx - ax * bz
|
||||
nz = ax * by - ay * bx
|
||||
mag = math.sqrt(nx * nx + ny * ny + nz * nz)
|
||||
if mag < 1e-12:
|
||||
return (0.0, 0.0, 0.0)
|
||||
return (nx / mag, ny / mag, nz / mag)
|
||||
|
||||
|
||||
def _dot(a, b) -> float:
|
||||
return a[0] * b[0] + a[1] * b[1] + a[2] * b[2]
|
||||
|
||||
|
||||
def _group_coplanar_tris(verts: list, tris: list) -> list[list[int]]:
|
||||
"""Group triangle indices whose faces are coplanar (same normal + plane)."""
|
||||
n_tris = len(tris)
|
||||
normals: list[tuple] = []
|
||||
plane_d: list[float] = []
|
||||
|
||||
for a, b, c in tris:
|
||||
n = _tri_normal(verts[a], verts[b], verts[c])
|
||||
normals.append(n)
|
||||
# plane distance: n · centroid
|
||||
cx = (verts[a][0] + verts[b][0] + verts[c][0]) / 3
|
||||
cy = (verts[a][1] + verts[b][1] + verts[c][1]) / 3
|
||||
cz = (verts[a][2] + verts[b][2] + verts[c][2]) / 3
|
||||
plane_d.append(n[0] * cx + n[1] * cy + n[2] * cz)
|
||||
|
||||
assigned = [False] * n_tris
|
||||
groups: list[list[int]] = []
|
||||
|
||||
for i in range(n_tris):
|
||||
if assigned[i]:
|
||||
continue
|
||||
group = [i]
|
||||
assigned[i] = True
|
||||
ni, di = normals[i], plane_d[i]
|
||||
if ni == (0.0, 0.0, 0.0):
|
||||
groups.append(group)
|
||||
continue
|
||||
for j in range(i + 1, n_tris):
|
||||
if assigned[j]:
|
||||
continue
|
||||
nj, dj = normals[j], plane_d[j]
|
||||
if nj == (0.0, 0.0, 0.0):
|
||||
continue
|
||||
dot_val = _dot(ni, nj) # signed — opposite normals (dot≈-1) must NOT merge
|
||||
if dot_val > 1.0 - _NORMAL_THRESHOLD and abs(di - dj) < _PLANE_THRESHOLD:
|
||||
group.append(j)
|
||||
assigned[j] = True
|
||||
groups.append(group)
|
||||
|
||||
return groups
|
||||
|
||||
|
||||
def _tri_area(v0, v1, v2) -> float:
|
||||
ax, ay, az = v1[0] - v0[0], v1[1] - v0[1], v1[2] - v0[2]
|
||||
bx, by, bz = v2[0] - v0[0], v2[1] - v0[1], v2[2] - v0[2]
|
||||
cx = ay * bz - az * by
|
||||
cy = az * bx - ax * bz
|
||||
cz = ax * by - ay * bx
|
||||
return 0.5 * math.sqrt(cx * cx + cy * cy + cz * cz)
|
||||
|
||||
|
||||
def _face_group_props(group: list[int], verts: list, tris: list) -> dict:
|
||||
"""Compute normal, total area, and area-weighted centroid for a face group."""
|
||||
total_area = 0.0
|
||||
wx = wy = wz = 0.0
|
||||
nx = ny = nz = 0.0
|
||||
|
||||
for idx in group:
|
||||
a, b, c = tris[idx]
|
||||
va, vb, vc = verts[a], verts[b], verts[c]
|
||||
area = _tri_area(va, vb, vc)
|
||||
total_area += area
|
||||
cx = (va[0] + vb[0] + vc[0]) / 3
|
||||
cy = (va[1] + vb[1] + vc[1]) / 3
|
||||
cz = (va[2] + vb[2] + vc[2]) / 3
|
||||
wx += cx * area
|
||||
wy += cy * area
|
||||
wz += cz * area
|
||||
n = _tri_normal(va, vb, vc)
|
||||
nx += n[0] * area
|
||||
ny += n[1] * area
|
||||
nz += n[2] * area
|
||||
|
||||
if total_area < 1e-12:
|
||||
return {"normal": (0.0, 0.0, 1.0), "area": 0.0, "centroid": (wx, wy, wz)}
|
||||
|
||||
centroid = (wx / total_area, wy / total_area, wz / total_area)
|
||||
|
||||
mag = math.sqrt(nx * nx + ny * ny + nz * nz)
|
||||
if mag > 1e-12:
|
||||
normal: tuple[float, ...] = (nx / mag, ny / mag, nz / mag)
|
||||
else:
|
||||
normal = (0.0, 0.0, 1.0)
|
||||
|
||||
return {"normal": normal, "area": total_area, "centroid": centroid}
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Fingerprint matching
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
_NORMAL_MATCH_THRESHOLD = 0.02 # max dot-product deviation for normal match
|
||||
_CENTROID_MAX_DIST = 10.0 # max IFC-unit distance for centroid proximity
|
||||
|
||||
|
||||
def _dist(a, b) -> float:
|
||||
return math.sqrt((a[0] - b[0]) ** 2 + (a[1] - b[1]) ** 2 + (a[2] - b[2]) ** 2)
|
||||
|
||||
|
||||
def _find_by_fingerprint(
|
||||
group_props: list[dict],
|
||||
fingerprint: dict,
|
||||
hint: Optional[list],
|
||||
) -> Optional[tuple[float, float, float]]:
|
||||
"""Return the centroid of the best-matching face group."""
|
||||
fp_normal = fingerprint["normal"]
|
||||
fp_centroid = fingerprint["centroid"]
|
||||
|
||||
best_score = -1.0
|
||||
best_centroid = None
|
||||
|
||||
for props in group_props:
|
||||
dot_val = _dot(props["normal"], fp_normal)
|
||||
if dot_val < 1.0 - _NORMAL_MATCH_THRESHOLD:
|
||||
continue # wrong-facing face
|
||||
|
||||
# Score: prefer face whose centroid is closest to stored fingerprint centroid,
|
||||
# then to the original click hint.
|
||||
centroid_dist = _dist(props["centroid"], fp_centroid)
|
||||
if centroid_dist > _CENTROID_MAX_DIST:
|
||||
continue
|
||||
|
||||
score = dot_val - centroid_dist / _CENTROID_MAX_DIST * 0.3
|
||||
if hint:
|
||||
hint_dist = _dist(props["centroid"], hint)
|
||||
score -= hint_dist / _CENTROID_MAX_DIST * 0.1
|
||||
|
||||
if score > best_score:
|
||||
best_score = score
|
||||
best_centroid = props["centroid"]
|
||||
|
||||
return best_centroid
|
||||
|
||||
|
||||
def _best_group(
|
||||
group_props: list[dict],
|
||||
hit_normal: tuple,
|
||||
hit_location: tuple,
|
||||
) -> Optional[tuple[int, dict]]:
|
||||
"""Return (index, props) for the best face group matching a ray-cast hit."""
|
||||
best_score = -1.0
|
||||
best = None
|
||||
|
||||
for i, props in enumerate(group_props):
|
||||
dot_val = _dot(props["normal"], hit_normal)
|
||||
if dot_val < 1.0 - _NORMAL_MATCH_THRESHOLD:
|
||||
continue
|
||||
dist = _dist(props["centroid"], hit_location)
|
||||
score = dot_val - dist / max(_CENTROID_MAX_DIST, 0.001) * 0.2
|
||||
if score > best_score:
|
||||
best_score = score
|
||||
best = (i, props)
|
||||
|
||||
return best
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Analytical resolution — IfcExtrudedAreaSolid TOP / BOTTOM
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _resolve_extruded_area_solid_analytic(
|
||||
file: ifcopenshell.file,
|
||||
element: ifcopenshell.entity_instance,
|
||||
addr: dict,
|
||||
placement_override: Optional[dict] = None,
|
||||
) -> Optional[tuple[float, float, float]]:
|
||||
"""Analytically resolve TOP or BOTTOM face centre of an IfcExtrudedAreaSolid."""
|
||||
face_role = addr.get("face_role", "")
|
||||
if face_role not in ("TOP", "BOTTOM"):
|
||||
return None
|
||||
|
||||
repr_id = addr.get("repr_id")
|
||||
if not repr_id:
|
||||
return None
|
||||
|
||||
try:
|
||||
solid = file.by_id(repr_id)
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
if not solid.is_a("IfcExtrudedAreaSolid"):
|
||||
return None
|
||||
|
||||
try:
|
||||
profile_centroid_local = _profile_centroid(solid.SweptArea)
|
||||
dir_ratios = solid.ExtrudedDirection.DirectionRatios
|
||||
depth = solid.Depth
|
||||
|
||||
mag = math.sqrt(sum(d * d for d in dir_ratios))
|
||||
if mag < 1e-12:
|
||||
return None
|
||||
dir_vec = tuple(d / mag for d in dir_ratios)
|
||||
|
||||
px = profile_centroid_local[0] + dir_vec[0] * (depth if face_role == "TOP" else 0.0)
|
||||
py = profile_centroid_local[1] + dir_vec[1] * (depth if face_role == "TOP" else 0.0)
|
||||
pz = dir_vec[2] * (depth if face_role == "TOP" else 0.0)
|
||||
|
||||
if solid.Position:
|
||||
local_pt = _apply_axis2placement3d(solid.Position, (px, py, pz))
|
||||
else:
|
||||
local_pt = (px, py, pz)
|
||||
|
||||
# Apply element placement — use placement_override (Blender matrix_world, metres)
|
||||
# when available so that unsync'd viewport moves are reflected.
|
||||
return _local_to_world_m(file, element, local_pt, placement_override)
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
|
||||
def _profile_centroid(profile) -> tuple[float, float]:
|
||||
"""Return (x, y) centroid of a profile def in its local 2D space."""
|
||||
if profile.is_a("IfcRectangleProfileDef"):
|
||||
pos = profile.Position
|
||||
if pos:
|
||||
loc = pos.Location
|
||||
return (loc.Coordinates[0], loc.Coordinates[1])
|
||||
return (0.0, 0.0)
|
||||
if profile.is_a("IfcCircleProfileDef"):
|
||||
pos = profile.Position
|
||||
if pos:
|
||||
loc = pos.Location
|
||||
return (loc.Coordinates[0], loc.Coordinates[1])
|
||||
return (0.0, 0.0)
|
||||
# Fallback for arbitrary profiles — use position location if available
|
||||
if hasattr(profile, "Position") and profile.Position:
|
||||
loc = profile.Position.Location
|
||||
return (loc.Coordinates[0], loc.Coordinates[1])
|
||||
return (0.0, 0.0)
|
||||
|
||||
|
||||
def _apply_axis2placement3d(placement, pt: tuple) -> tuple[float, float, float]:
|
||||
"""Apply an IfcAxis2Placement3D to a local point."""
|
||||
loc = placement.Location.Coordinates
|
||||
ox, oy, oz = float(loc[0]), float(loc[1]), float(loc[2])
|
||||
|
||||
# Z axis (extrusion direction in placement space)
|
||||
if placement.Axis:
|
||||
zr = placement.Axis.DirectionRatios
|
||||
zx, zy, zz = float(zr[0]), float(zr[1]), float(zr[2])
|
||||
else:
|
||||
zx, zy, zz = 0.0, 0.0, 1.0
|
||||
|
||||
# X axis (ref direction)
|
||||
if placement.RefDirection:
|
||||
xr = placement.RefDirection.DirectionRatios
|
||||
xx, xy, xz = float(xr[0]), float(xr[1]), float(xr[2])
|
||||
else:
|
||||
xx, xy, xz = 1.0, 0.0, 0.0
|
||||
|
||||
# Y axis = Z × X
|
||||
yx = zy * xz - zz * xy
|
||||
yy = zz * xx - zx * xz
|
||||
yz = zx * xy - zy * xx
|
||||
|
||||
px, py, pz = pt
|
||||
return (
|
||||
ox + px * xx + py * yx + pz * zx,
|
||||
oy + px * xy + py * yy + pz * zy,
|
||||
oz + px * xz + py * yz + pz * zz,
|
||||
)
|
||||
|
||||
|
||||
def _mat_apply(m, pt: tuple) -> tuple[float, float, float]:
|
||||
"""Apply a 4×4 numpy placement matrix to a point."""
|
||||
x, y, z = float(pt[0]), float(pt[1]), float(pt[2])
|
||||
return (
|
||||
float(m[0][0] * x + m[0][1] * y + m[0][2] * z + m[0][3]),
|
||||
float(m[1][0] * x + m[1][1] * y + m[1][2] * z + m[1][3]),
|
||||
float(m[2][0] * x + m[2][1] * y + m[2][2] * z + m[2][3]),
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# IfcExtrudedAreaSolid face role detection
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _detect_extruded_face(
|
||||
file: ifcopenshell.file,
|
||||
element: ifcopenshell.entity_instance,
|
||||
hit_location: tuple,
|
||||
hit_normal: tuple,
|
||||
) -> tuple[str, int, str]:
|
||||
"""Try to identify if the hit face is a TOP or BOTTOM of an IfcExtrudedAreaSolid.
|
||||
|
||||
Returns (repr_type, repr_id, face_role).
|
||||
repr_type is empty string if not detected as extruded solid.
|
||||
"""
|
||||
if not hasattr(element, "Representation") or not element.Representation:
|
||||
return ("", -1, "")
|
||||
|
||||
for rep in element.Representation.Representations:
|
||||
for item in rep.Items:
|
||||
solid = _unwrap_mapped(item)
|
||||
if not solid or not solid.is_a("IfcExtrudedAreaSolid"):
|
||||
continue
|
||||
role = _extruded_face_role(solid, hit_normal)
|
||||
if role:
|
||||
return ("IfcExtrudedAreaSolid", solid.id(), role)
|
||||
|
||||
return ("", -1, "")
|
||||
|
||||
|
||||
def _unwrap_mapped(item):
|
||||
"""Unwrap IfcMappedItem to its underlying representation item (first item)."""
|
||||
if item.is_a("IfcMappedItem"):
|
||||
items = item.MappingSource.MappedRepresentation.Items
|
||||
return items[0] if items else None
|
||||
return item
|
||||
|
||||
|
||||
def _extruded_face_role(solid, hit_normal: tuple) -> str:
|
||||
"""Return 'TOP', 'BOTTOM', or '' based on whether hit_normal aligns with extrusion."""
|
||||
try:
|
||||
dr = solid.ExtrudedDirection.DirectionRatios
|
||||
mag = math.sqrt(sum(d * d for d in dr))
|
||||
if mag < 1e-12:
|
||||
return ""
|
||||
extrude_dir = tuple(d / mag for d in dr)
|
||||
dot_val = _dot(extrude_dir, hit_normal)
|
||||
if dot_val > 0.99:
|
||||
return "TOP"
|
||||
if dot_val < -0.99:
|
||||
return "BOTTOM"
|
||||
except Exception:
|
||||
pass
|
||||
return ""
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Misc helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _pt_or_none(pt) -> Optional[tuple[float, float, float]]:
|
||||
if pt:
|
||||
return (float(pt[0]), float(pt[1]), float(pt[2]))
|
||||
return None
|
||||
Reference in New Issue
Block a user