bd57cc873 shifted the directrix curve by -mean before sweeping, then
translated the result by -mean again instead of +mean, placing the
geometry at original - 2*mean. Negating the restore translation fixes
the position; shape size was unaffected.
cc @aothms
Generated with the assistance of an AI coding tool.
ItemIsASum and Quantities are exporter columns that were missing from
MAIN_CSV_HEADER_COLUMNS, causing them to be misidentified as numeric cost
value categories on re-import. Also initialise rate_cost_schedule to None
before the search loop to avoid UnboundLocalError when no match is found.
Generated with the assistance of an AI coding tool.
Contexts were deleted with remove_deep2 into a single set, but
file.add() inflates inverse counts causing phantom references. Split
into coord_ops (0 real inverses, remove_deep2 recurses to clean
IfcProjectedCRS) and contexts (sorted parent-first so phantoms don't
become dangling references). Remove stale MakeVolume stub from
ifcopenshell_wrapper.pyi.
Generated with the assistance of an AI coding tool.
Don't leave a broken repo if ifcmerge is misinstalled.
Fix bug where only local branches could be merged.
Fix gitch where merge commits were not considered relevant.
Add update callbacks to the relating_object and related_object
PointerProperties so that selecting an object via the eyedropper
in BIM_PT_aggregate immediately calls aggregate_assign_object
and closes the editing panel, removing the need to click the
checkmark button manually.
Generated with the assistance of an AI coding tool.
Adds `remove_coplanar_boundary_lines()` to operator.py (Bonsai uses this
path, not draw.py's main()). After `merge_linework_and_add_metadata()`
assigns material CSS classes, this post-processes the SVG to delete
projection line segments that appear in two or more adjacent, coplanar
elements with the same material and presentation style.
Key design decisions:
- Material identity: compared via sorted IFC material ID tuples from
`get_materials()`, not CSS class names — avoids false matches between
unrelated `material-null` elements.
- Presentation style identity: compared via IFC IfcPresentationStyle IDs
from `StyledByItem` on geometry representation items — handles elements
with no material but distinct visual styles.
- Physical adjacency: confirmed by a 3D shared-vertex test (tol=0.01 m)
after a quick AABB guard, rejecting elements whose 2D projections
overlap but sit at different depths.
- Coplanarity: determined by the dominant (largest-area) face normal of
each Blender mesh object — area-weighted averages are unreliable for
slabs whose equal top/bottom faces cancel out. Folded walls sharing an
edge but meeting at an angle are correctly rejected (normal dot ≪ 1.0).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add Anthropic prompt caching (cache_control on system prompt and
tools) to reduce repeated token costs by ~90%
- Truncate large tool results in conversation history (2000 char cap)
to prevent context bloat from ifc_tree/ifc_select responses
- Add sliding window (40 messages) on conversation history, trimming
at user message boundaries to avoid breaking tool-call sequences
- Default "New IFC" button to IFC4X3 schema instead of IFC4
- Constrain ifc_new schema parameter with enum to prevent invalid
schema strings like "IFC4X3ADD2"
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Parse ifcmerge JSON output and display a per-conflict breakdown in the
panel when merge fails. Ctrl+click on the Merge button previews
conflicts without committing. Add SelectConflictEntity operator to
select and frame the conflicting object in the 3D viewport.
Generated with the assistance of an AI coding tool.
A degenerate edge (zero-length segment) caused an early `return`
of a tuple instead of continuing the loop, resulting in a
TypeError when snap.py iterated the result and tried to assign
`point["group"]` on a float.
Generated with the assistance of an AI coding tool.
Add a provider selector (OpenAI / Anthropic) to the ifcchat web UI,
allowing users to use their Anthropic API key with Claude models
instead of only OpenAI.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>