mirror of
https://github.com/IfcOpenShell/IfcOpenShell.git
synced 2026-09-23 21:58:46 +00:00
Dion Moult
80 lines
3.1 KiB
Python
80 lines
3.1 KiB
Python
import os
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import json
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import ifcopenshell
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import ifcopenshell.util.pset
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import bpy
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from pathlib import Path
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cwd = os.path.dirname(os.path.realpath(__file__))
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class IfcSchema:
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def __init__(self):
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self.schema_dir = os.path.join(cwd, "schema") # TODO: make configurable
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self.data_dir = os.path.join(cwd, "data") # TODO: make configurable
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# TODO: Make it less troublesome
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self.products = [
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"IfcContext",
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"IfcElement",
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"IfcSpatialElement",
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"IfcGroup",
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"IfcStructural",
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"IfcPositioningElement",
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"IfcMaterialDefinition",
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"IfcParameterizedProfileDef",
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"IfcBoundaryCondition",
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"IfcElementType",
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"IfcAnnotation",
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]
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self.elements = {}
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self.property_files = []
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property_paths = Path(os.path.join(self.data_dir, "pset")).glob("*.ifc")
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for path in property_paths:
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ifcopenshell.util.pset.load_property_set_template(path)
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ifcopenshell.util.pset.load_property_set_template(os.path.join(self.schema_dir, "Pset_IFC4_ADD2.ifc"))
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self.classification_files = {}
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self.classifications = {}
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self.load()
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def load(self):
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for product in self.products:
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with open(os.path.join(self.schema_dir, f"{product}_IFC4.json")) as f:
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setattr(self, product, json.load(f))
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self.elements.update(getattr(self, product))
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with open(os.path.join(self.schema_dir, "ifc_types_IFC4.json")) as f:
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self.type_map = json.load(f)
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def load_classification(self, name, classification_index=None):
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if name not in self.classifications:
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if classification_index is not None:
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self.classification_files[name] = ifcopenshell.file.from_string(
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bpy.context.scene.BIMProperties.classifications[classification_index].data
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)
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else:
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classification_path = os.path.join(self.schema_dir, "classifications", "{}.ifc".format(name))
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self.classification_files[name] = ifcopenshell.open(classification_path)
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self.classifications[name] = self.classification_files[name].by_type("IfcClassification")[0]
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classification = self.classifications[name]
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bpy.context.scene.BIMProperties.active_classification_name = self.classifications[name].Name
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return {"name": "", "description": "", "children": self.get_classification_references(classification)}
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def get_classification_references(self, classification):
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references = {}
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if not hasattr(classification, "HasReferences") or not classification.HasReferences:
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return references
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for reference in classification.HasReferences:
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references[reference.Identification] = {
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"location": reference.Location,
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"identification": reference.Identification,
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"name": reference.Name,
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"description": reference.Description,
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"children": self.get_classification_references(reference),
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}
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return references
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ifc = IfcSchema()
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