Add support for latest uniclass and add Uniclass July 2023

src/blenderbim/scripts/classifications/uniclass_classification.py

@@ -0,0 +1,59 @@
+import os
+import ifcopenshell
+import pandas as pd
+
+directory_path = "uniclass/"
+
+edition = "July 2023"
+
+ifc = ifcopenshell.file(schema="IFC4")
+classification = ifc.create_entity(
+    "IfcClassification",
+    Source="RIBA Enterprises Ltd",
+    Edition=edition,
+    EditionDate="2023-07-01",
+    Name="Uniclass",
+    Description="Uniclass is a unified classification system made up of a set of tables that can be used by different parts of the industry in various ways.",
+    Location="https://uniclass.thenbs.com/",
+    ReferenceTokens=["_"],
+)
+
+references = {}
+
+tables = [
+    ("Ac", "Activities"),
+    ("Co", "Complexes"),
+    ("En", "Entities"),
+    ("SL", "Spaces / Locations"),
+    ("EF", "Elements / Functions"),
+    ("Ss", "Systems"),
+    ("Pr", "Products"),
+    ("TE", "Tools and equipment"),
+    ("PM", "Project management"),
+    ("FI", "Form of information"),
+    ("Ro", "Roles"),
+    ("Ma", "Materials"),
+    ("Pc", "Properties and characteristics"),
+    ("Zz", "CAD"),
+]
+
+for identification, name in tables:
+    ref = ifc.create_entity("IfcClassificationReference", Identification=identification, Name=name)
+    references[identification] = ref
+
+for filename in os.listdir(directory_path):
+    if filename.endswith(".xlsx") and "change-log" not in filename and "codes-not-in-use" not in filename:
+        file_path = os.path.join(directory_path, filename)
+        df = pd.read_excel(file_path, header=2)
+        for index, row in df.iterrows():
+            identification = row["Code"]
+            name = row["Title"]
+            ref = ifc.create_entity("IfcClassificationReference", Identification=identification, Name=name)
+            references[identification] = ref
+            parent = "_".join(identification.split("_")[0:-1])
+            if parent in references:
+                ref.ReferencedSource = references[parent]
+            else:
+                ref.ReferencedSource = classification
+
+ifc.write(f"Uniclass {edition}.ifc")