bSDD searches now work on type classes as well as predefined types

src/bonsai/bonsai/bim/import_ifc.py

@@ -300,7 +300,6 @@ class IfcImporter:
         tool.Spatial.run_spatial_import_spatial_decomposition()
         if default_container := tool.Spatial.guess_default_container():
             tool.Spatial.set_default_container(default_container)
-        tool.Loader.setup_active_bsdd_classification()
         self.update_progress(100)
         bpy.context.window_manager.progress_end()
 

src/bonsai/bonsai/tool/bsdd.py

@@ -3,6 +3,8 @@ import bonsai.tool as tool
 import bpy
 import json
 import bsdd
+import ifcopenshell.util.type
+import ifcopenshell.util.element
 from typing import Any, Union, Optional, TYPE_CHECKING
 
 
@@ -131,9 +133,17 @@ class Bsdd(bonsai.core.tool.Bsdd):
         active_object = bpy.context.active_object
         related_ifc_entities = []
         if cls.should_filter_ifc_class() and active_object:
-            element = tool.Ifc.get_entity(active_object)
-            if element:
-                related_ifc_entities = [element.is_a()]
+            if element := tool.Ifc.get_entity(active_object):
+                ifc_class = element.is_a()
+                if element.is_a("IfcElementType"):
+                    ifc_class = ifcopenshell.util.type.get_applicable_entities(ifc_class, schema=tool.Ifc.get().schema)[
+                        0
+                    ]
+                related_ifc_entities = [ifc_class]
+                if (
+                    predefined_type := ifcopenshell.util.element.get_predefined_type(element)
+                ) and predefined_type != "NOTDEFINED":
+                    related_ifc_entities.append(ifc_class + predefined_type)
         return related_ifc_entities
 
     @classmethod
@@ -152,23 +162,24 @@ class Bsdd(bonsai.core.tool.Bsdd):
             else [props.active_dictionary]
         )
         for dictionary_uri in dictionary_uris:
-            response = cls.client.get_classes(
-                dictionary_uri=dictionary_uri,
-                use_nested_classes=False,
-                search_text=keyword,
-                related_ifc_entity=related_ifc_entities[0] if related_ifc_entities else None,
-                offset=offset,
-                limit=limit,
-            )
-            dictionary_name = response.get("name", "")
-            dictionary_namespace_uri = response.get("uri", "")
-            for _class in sorted(response.get("classes", []), key=lambda c: c["referenceCode"]):
-                prop = props.classifications.add()
-                prop.name = _class["name"]
-                prop.reference_code = _class["referenceCode"]
-                prop.uri = _class["uri"]
-                prop.dictionary_name = dictionary_name
-                prop.dictionary_namespace_uri = dictionary_namespace_uri
+            for related_ifc_entity in related_ifc_entities or [None]:
+                response = cls.client.get_classes(
+                    dictionary_uri=dictionary_uri,
+                    use_nested_classes=False,
+                    search_text=keyword,
+                    related_ifc_entity=related_ifc_entity,
+                    offset=offset,
+                    limit=limit,
+                )
+                dictionary_name = response.get("name", "")
+                dictionary_namespace_uri = response.get("uri", "")
+                for _class in sorted(response.get("classes", []), key=lambda c: c["referenceCode"]):
+                    prop = props.classifications.add()
+                    prop.name = _class["name"]
+                    prop.reference_code = _class["referenceCode"]
+                    prop.uri = _class["uri"]
+                    prop.dictionary_name = dictionary_name
+                    prop.dictionary_namespace_uri = dictionary_namespace_uri
 
         total_results = response.get("count", response.get("classesCount"))
         # For now, hard limit at 1000 results because any more and Blender

src/bonsai/bonsai/tool/loader.py

@@ -1171,47 +1171,6 @@ class Loader(bonsai.core.tool.Loader):
 
         return mesh
 
-    @classmethod
-    def setup_active_bsdd_classification(cls) -> None:
-        ifc_file = tool.Ifc.get()
-        schema = ifc_file.schema
-
-        # In IFC2X3 IfcClassification doesn't have an attribute for uri.
-        if schema == "IFC2X3":
-            classifications = [c for c in ifc_file.by_type("IfcClassification") if c.Name]
-            if not classifications:
-                return
-            pattern = r"^https://identifier\.buildingsmart\.org/uri/([a-zA-Z0-9]+)/([a-zA-Z0-9]+)/([0-9]+\.[0-9]+)"
-
-            # No inverse attribute in IFC2X3...
-            for ref in ifc_file.by_type("IfcClassificationReference"):
-                if (
-                    not (uri := ref.Location)
-                    or not uri.startswith("https://identifier.buildingsmart.org/uri/")
-                    or not (pattern_match := re.match(pattern, uri))
-                    or not (classification := ref.ReferencedSource)
-                    or classification not in classifications
-                    or not classification.is_a("IfcClassification")
-                ):
-                    continue
-                tool.Bsdd.set_active_bsdd(classification.Name, pattern_match.group(0))
-            return
-
-        attr_name = "Specification" if schema == "IFC4X3" else "Location"
-        bsdd_classification, uri, name = None, None, None
-        for c in ifc_file.by_type("IfcClassification"):
-            if (
-                (uri := getattr(c, attr_name))
-                and uri.startswith("https://identifier.buildingsmart.org/uri/")
-                and (name := c.Name)
-            ):
-                bsdd_classification = c
-                break
-        if not bsdd_classification:
-            return
-        assert name and uri
-        tool.Bsdd.set_active_bsdd(name, uri)
-
     @classmethod
     def is_native_swept_disk_solid(
         cls, element: ifcopenshell.entity_instance, representation: ifcopenshell.entity_instance