mirror of
https://github.com/IfcOpenShell/IfcOpenShell.git
synced 2026-08-09 17:31:45 +00:00
Convert Ifc2Sql script to IfcPatch recipe and add geometry support
This commit is contained in:
@@ -1,281 +0,0 @@
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import os
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import json
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import itertools
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import ifcopenshell
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import ifcopenshell.util.schema
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import ifcopenshell.util.attribute
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import sqlite3
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import mysql.connector
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class Ifc2Sql:
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def execute(self):
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self.sql_type = "sqlite"
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# self.sql_type = "mysql"
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self.full_schema = False
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self.is_strict = False
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self.should_get_psets = True
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self.should_expand = True
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self.should_get_geometry_blob = True
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self.should_skip_geometry_data = True
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filepath = "/home/dion/test2.ifc"
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self.file = ifcopenshell.open(filepath)
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self.schema = ifcopenshell.ifcopenshell_wrapper.schema_by_name(self.file.schema)
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if self.sql_type == "sqlite":
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db_file = "/home/dion/test.db"
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os.remove(db_file)
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self.db = sqlite3.connect(db_file)
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elif self.sql_type == "mysql":
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self.db = mysql.connector.connect(
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host="localhost",
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user="root",
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password="root",
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database="test"
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)
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self.create_id_map()
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if self.should_get_psets:
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self.create_pset_table()
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if self.full_schema:
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ifc_classes = [d.name() for d in self.schema.declarations() if str(d).startswith("<entity")]
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else:
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ifc_classes = self.file.wrapped_data.types()
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for ifc_class in ifc_classes:
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declaration = self.schema.declaration_by_name(ifc_class)
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if self.should_skip_geometry_data:
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if ifcopenshell.util.schema.is_a(declaration, "IfcRepresentation") or ifcopenshell.util.schema.is_a(
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declaration, "IfcRepresentationItem"
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):
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continue
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if self.sql_type == "sqlite":
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self.create_sqlite_table(ifc_class, declaration)
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elif self.sql_type == "mysql":
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self.create_mysql_table(ifc_class, declaration)
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self.insert_data(ifc_class)
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self.db.close()
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def create_id_map(self):
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if self.sql_type == "sqlite":
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statement = (
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"CREATE TABLE IF NOT EXISTS id_map (ifc_id integer PRIMARY KEY NOT NULL UNIQUE, ifc_class text);"
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)
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elif self.sql_type == "mysql":
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statement = """
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CREATE TABLE `id_map` (
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`ifc_id` int(10) unsigned NOT NULL,
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`ifc_class` varchar(255) NOT NULL,
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PRIMARY KEY (`ifc_id`)
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) ENGINE=InnoDB DEFAULT CHARSET=utf8mb3 COLLATE=utf8mb3_general_ci;
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"""
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c = self.db.cursor()
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c.execute(statement)
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def create_pset_table(self):
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statement = """
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CREATE TABLE IF NOT EXISTS psets (
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ifc_id integer NOT NULL,
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pset_name text,
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name text,
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value text
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);
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"""
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c = self.db.cursor()
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c.execute(statement)
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def create_sqlite_table(self, ifc_class, declaration):
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statement = f"CREATE TABLE IF NOT EXISTS {ifc_class} ("
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if self.should_expand:
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statement += "ifc_id INTEGER NOT NULL"
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else:
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statement += "ifc_id INTEGER PRIMARY KEY NOT NULL UNIQUE"
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total_attributes = declaration.attribute_count()
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if total_attributes:
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statement += ","
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derived = declaration.derived()
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for i in range(0, total_attributes):
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attribute = declaration.attribute_by_index(i)
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primitive = ifcopenshell.util.attribute.get_primitive_type(attribute)
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print(attribute.name(), primitive)
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if primitive in ("string", "enum"):
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data_type = "TEXT"
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elif primitive in ("entity", "integer", "boolean"):
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data_type = "INTEGER"
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elif primitive == "float":
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data_type = "REAL"
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elif self.should_expand and self.is_entity_list(primitive):
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data_type = "INTEGER"
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elif isinstance(primitive, tuple):
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data_type = "JSON"
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else:
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print(attribute, primitive) # Not implemented?
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if not self.is_strict or derived[i]:
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optional = ""
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else:
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optional = "" if attribute.optional() else " NOT NULL"
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comma = "" if i == total_attributes - 1 else ","
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statement += f" `{attribute.name()}` {data_type}{optional}{comma}"
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statement += ");"
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print(statement)
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c = self.db.cursor()
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c.execute(statement)
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def create_mysql_table(self, ifc_class, declaration):
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declaration = self.schema.declaration_by_name(ifc_class)
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statement = f"CREATE TABLE IF NOT EXISTS {ifc_class} ("
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statement += "`ifc_id` int(10) unsigned NOT NULL,"
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derived = declaration.derived()
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for attribute in declaration.all_attributes():
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primitive = ifcopenshell.util.attribute.get_primitive_type(attribute)
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if primitive in ("string", "enum"):
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if "IfcText" in str(attribute.type_of_attribute()):
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data_type = "text"
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else:
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data_type = "varchar(255)"
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elif primitive == "entity":
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data_type = "int(10) unsigned"
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elif primitive == "boolean":
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data_type = "tinyint(1)"
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elif primitive == "integer":
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data_type = "int(10)"
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if "Positive" in str(attribute.type_of_attribute()):
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data_type += " unsigned"
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elif primitive == "float":
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data_type = "decimal(10,0)"
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elif self.should_expand and self.is_entity_list(primitive):
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data_type = "int(10) unsigned"
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elif isinstance(primitive, tuple):
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data_type = "JSON"
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else:
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print(attribute, primitive) # Not implemented?
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if not self.is_strict or derived[i]:
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optional = "DEFAULT NULL"
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else:
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optional = "DEFAULT NULL" if attribute.optional() else "NOT NULL"
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statement += f" `{attribute.name()}` {data_type} {optional},"
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if self.should_expand:
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statement = statement[0:-1]
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else:
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statement += " PRIMARY KEY (`ifc_id`)"
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statement += ") ENGINE=InnoDB DEFAULT CHARSET=utf8mb3 COLLATE=utf8mb3_general_ci;"
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print(statement)
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c = self.db.cursor()
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c.execute(statement)
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def insert_data(self, ifc_class):
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elements = self.file.by_type(ifc_class, include_subtypes=False)
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rows = []
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id_map_rows = []
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pset_rows = []
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for element in elements:
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nested_indices = []
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values = [element.id()]
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for i, attribute in enumerate(element):
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if isinstance(attribute, ifcopenshell.entity_instance):
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if attribute.id():
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values.append(attribute.id())
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else:
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values.append(json.dumps({"type": attribute.is_a(), "value": attribute.wrappedValue}))
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elif (
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self.should_expand
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and attribute
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and isinstance(attribute, tuple)
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and isinstance(attribute[0], ifcopenshell.entity_instance)
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):
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nested_indices.append(i + 1)
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attribute = self.serialise_value(element, attribute)
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values.append(attribute)
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elif isinstance(attribute, tuple):
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attribute = self.serialise_value(element, attribute)
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values.append(json.dumps(attribute))
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else:
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values.append(attribute)
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if self.should_expand:
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print(values)
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rows.extend(self.get_permutations(values, nested_indices))
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else:
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rows.append(values)
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id_map_rows.append([element.id(), ifc_class])
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if self.should_get_psets:
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psets = ifcopenshell.util.element.get_psets(element)
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if psets:
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print(psets)
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for pset_name, pset_data in psets.items():
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for prop_name, value in pset_data.items():
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if prop_name == "id":
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continue
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pset_rows.append([element.id(), pset_name, prop_name, value])
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c = self.db.cursor()
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print(rows)
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if rows:
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if self.sql_type == "sqlite":
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c.executemany(f"INSERT INTO {ifc_class} VALUES ({','.join(['?']*len(rows[0]))});", rows)
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c.executemany("INSERT INTO id_map VALUES (?, ?);", id_map_rows)
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if pset_rows:
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c.executemany("INSERT INTO psets VALUES (?, ?, ?, ?);", pset_rows)
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elif self.sql_type == "mysql":
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c.executemany(f"INSERT INTO {ifc_class} VALUES ({','.join(['%s']*len(rows[0]))});", rows)
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c.executemany("INSERT INTO id_map VALUES (%s, %s);", id_map_rows)
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if pset_rows:
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c.executemany("INSERT INTO psets VALUES (%s, %s, %s, %s);", pset_rows)
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self.db.commit()
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def serialise_value(self, element, value):
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return element.walk(
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lambda v: isinstance(v, ifcopenshell.entity_instance),
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lambda v: v.id() if v.id() else {"type": v.is_a(), "value": v.wrappedValue},
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value,
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)
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def get_permutations(self, lst, indexes):
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nested_lists = [lst[i] for i in indexes]
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# Generate the Cartesian product of the nested lists
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products = list(itertools.product(*nested_lists))
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# Place the elements of each product back in their original positions
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final_lists = []
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for product in products:
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temp_list = lst[:]
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for i, index in enumerate(indexes):
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temp_list[index] = product[i]
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final_lists.append(temp_list)
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return final_lists
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def is_entity_list(self, primitive):
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if not isinstance(primitive, tuple):
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return False
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elif primitive[0] == "select":
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return False
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elif primitive[1] == "entity":
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return True
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elif isinstance(primitive[1], tuple):
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return self.is_entity_list(primitive[1])
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return False
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Ifc2Sql().execute()
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@@ -0,0 +1,457 @@
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import os
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import re
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import json
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import time
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import tempfile
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import itertools
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import numpy as np
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import multiprocessing
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import ifcopenshell
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import ifcopenshell.geom
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import ifcopenshell.util.unit
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import ifcopenshell.util.shape
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import ifcopenshell.util.schema
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import ifcopenshell.util.attribute
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import ifcopenshell.util.placement
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try:
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import sqlite3
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except:
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print("No SQLite support")
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try:
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import mysql.connector
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except:
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print("No MySQL support")
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class Patcher:
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def __init__(
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self,
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src,
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file,
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logger,
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sql_type: str = "sqlite",
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host: str = "localhost",
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username: str = "root",
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password: str = "pass",
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database: str = "test",
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):
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"""Convert an IFC-SPF model to SQLite or MySQL.
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There are certain controls which are hardcoded in this recipe that you
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may modify, including:
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- full_schema: if True, will create tables for all IFC classes,
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regardless if they are used or not in the dataset. If False, will
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only create tables for classes in the dataset.
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- is_strict: whether or not to enforce null or not null. If your
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dataset might contain invalid data, set this to False.
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- should_expand: if True, entities with attributes containing lists of
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entities will be separated into multiple rows. This means the ifc_id
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is no longer a unique primary key. If False, lists will be stored as
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JSON.
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- should_get_psets: if True, a separate psets table will be created to
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make it easy to query properties. This is in addition to regular IFC
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tables like IfcPropertySet.
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- should_get_geometry: Whether or not to process and store explicit
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geometry data as a blob in a separate geometry and shape table.
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- should_skip_geometry_data: Whether or not to also create tables for
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IfcRepresentation and IfcRepresentationItem classes. These tables are
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unnecessary if you are not interested in geometry.
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:param sql_type: Choose between "sqlite" or "mysql"
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:type sql_type: str
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Example:
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.. code:: python
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# Convert to SQLite
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ifcpatch.execute({"input": model, "recipe": "Ifc2Sql", "arguments": ["sqlite"]})
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"""
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self.src = src
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self.file = file
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self.logger = logger
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self.sql_type = sql_type
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self.host = host
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self.username = username
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self.password = password
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self.database = database
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def patch(self):
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self.full_schema = True
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self.is_strict = False
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self.should_expand = False
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self.should_get_psets = True
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self.should_get_geometry = True
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self.should_skip_geometry_data = False
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self.schema = ifcopenshell.ifcopenshell_wrapper.schema_by_name(self.file.schema)
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if self.sql_type == "sqlite":
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tmp = tempfile.NamedTemporaryFile(delete=False)
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db_file = tmp.name
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self.db = sqlite3.connect(db_file)
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self.c = self.db.cursor()
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self.file_patched = db_file
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elif self.sql_type == "mysql":
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self.db = mysql.connector.connect(
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host=self.host,
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user=self.username,
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password=self.password,
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database=self.database
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)
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self.c = self.db.cursor()
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self.file_patched = None
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self.create_id_map()
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if self.should_get_psets:
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self.create_pset_table()
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if self.should_get_geometry:
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self.create_geometry_table()
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self.create_geometry()
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if self.full_schema:
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ifc_classes = [d.name() for d in self.schema.declarations() if str(d).startswith("<entity")]
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else:
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ifc_classes = self.file.wrapped_data.types()
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for ifc_class in ifc_classes:
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declaration = self.schema.declaration_by_name(ifc_class)
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if self.should_skip_geometry_data:
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if ifcopenshell.util.schema.is_a(declaration, "IfcRepresentation") or ifcopenshell.util.schema.is_a(
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declaration, "IfcRepresentationItem"
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):
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continue
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if self.sql_type == "sqlite":
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self.create_sqlite_table(ifc_class, declaration)
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elif self.sql_type == "mysql":
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self.create_mysql_table(ifc_class, declaration)
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self.insert_data(ifc_class)
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if self.should_get_geometry:
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if self.sql_type == "sqlite":
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if self.shape_rows:
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self.c.executemany("INSERT INTO shape VALUES (?, ?, ?, ?, ?, ?);", self.shape_rows.values())
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if self.geometry_rows:
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self.c.executemany("INSERT INTO geometry VALUES (?, ?, ?, ?, ?, ?);", self.geometry_rows.values())
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elif self.sql_type == "mysql":
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if self.shape_rows:
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self.c.executemany("INSERT INTO shape VALUES (%s, %s, %s, %s, %s, %s);", self.shape_rows.values())
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# Do row by row in case of max_allowed_packet
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for row in self.geometry_rows.values():
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self.c.execute("INSERT INTO geometry VALUES (%s, %s, %s, %s, %s, %s);", row)
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self.db.commit()
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self.db.close()
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def create_geometry(self):
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self.unit_scale = ifcopenshell.util.unit.calculate_unit_scale(self.file)
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self.shape_rows = {}
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self.geometry_rows = {}
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if self.file.schema in ("IFC2X3", "IFC4"):
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self.elements = self.file.by_type("IfcElement") + self.file.by_type("IfcProxy")
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else:
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self.elements = self.file.by_type("IfcElement")
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self.settings = ifcopenshell.geom.settings()
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self.settings.set(self.settings.STRICT_TOLERANCE, True)
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self.body_contexts = [
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c.id()
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for c in self.file.by_type("IfcGeometricRepresentationSubContext")
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if c.ContextIdentifier in ["Body", "Facetation"]
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]
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# Ideally, all representations should be in a subcontext, but some BIM programs don't do this correctly
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self.body_contexts.extend(
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[
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c.id()
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for c in self.file.by_type("IfcGeometricRepresentationContext", include_subtypes=False)
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if c.ContextType == "Model"
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]
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)
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self.settings.set_context_ids(self.body_contexts)
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products = self.elements
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iterator = ifcopenshell.geom.iterator(self.settings, self.file, multiprocessing.cpu_count(), include=products)
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valid_file = iterator.initialize()
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checkpoint = time.time()
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progress = 0
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total = len(products)
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while True:
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progress += 1
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if progress % 250 == 0:
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percent_created = round(progress / total * 100)
|
||||
percent_preprocessed = iterator.progress()
|
||||
percent_average = (percent_created + percent_preprocessed) / 2
|
||||
print(
|
||||
"{} / {} ({}% created, {}% preprocessed) elements processed in {:.2f}s ...".format(
|
||||
progress, total, percent_created, percent_preprocessed, time.time() - checkpoint
|
||||
)
|
||||
)
|
||||
checkpoint = time.time()
|
||||
shape = iterator.get()
|
||||
if shape:
|
||||
if shape.geometry.id not in self.geometry_rows:
|
||||
v = np.array(shape.geometry.verts).tobytes()
|
||||
e = np.array(shape.geometry.edges).tobytes()
|
||||
f = np.array(shape.geometry.faces).tobytes()
|
||||
mids = np.array(shape.geometry.material_ids).tobytes()
|
||||
m = json.dumps([int(m.name.split("-")[2]) for m in shape.geometry.materials])
|
||||
self.geometry_rows[shape.geometry.id] = [shape.geometry.id, v, e, f, mids, m]
|
||||
m = ifcopenshell.util.shape.get_shape_matrix(shape)
|
||||
m[0][3] /= self.unit_scale
|
||||
m[1][3] /= self.unit_scale
|
||||
m[2][3] /= self.unit_scale
|
||||
x, y, z = m[:, 3][0:3]
|
||||
self.shape_rows[shape.id] = [shape.id, float(x), float(y), float(z), m.tobytes(), shape.geometry.id]
|
||||
if not iterator.next():
|
||||
break
|
||||
print("Done creating geometry")
|
||||
|
||||
def create_id_map(self):
|
||||
if self.sql_type == "sqlite":
|
||||
statement = (
|
||||
"CREATE TABLE IF NOT EXISTS id_map (ifc_id integer PRIMARY KEY NOT NULL UNIQUE, ifc_class text);"
|
||||
)
|
||||
elif self.sql_type == "mysql":
|
||||
statement = """
|
||||
CREATE TABLE `id_map` (
|
||||
`ifc_id` int(10) unsigned NOT NULL,
|
||||
`ifc_class` varchar(255) NOT NULL,
|
||||
PRIMARY KEY (`ifc_id`)
|
||||
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb3 COLLATE=utf8mb3_general_ci;
|
||||
"""
|
||||
self.c.execute(statement)
|
||||
|
||||
def create_pset_table(self):
|
||||
statement = """
|
||||
CREATE TABLE IF NOT EXISTS psets (
|
||||
ifc_id integer NOT NULL,
|
||||
pset_name text,
|
||||
name text,
|
||||
value text
|
||||
);
|
||||
"""
|
||||
self.c.execute(statement)
|
||||
|
||||
def create_geometry_table(self):
|
||||
statement = """
|
||||
CREATE TABLE IF NOT EXISTS shape (
|
||||
ifc_id integer NOT NULL,
|
||||
x real,
|
||||
y real,
|
||||
z real,
|
||||
matrix blob,
|
||||
geometry text
|
||||
);
|
||||
"""
|
||||
self.c.execute(statement)
|
||||
|
||||
statement = """
|
||||
CREATE TABLE IF NOT EXISTS geometry (
|
||||
id text NOT NULL,
|
||||
verts blob,
|
||||
edges blob,
|
||||
faces blob,
|
||||
material_ids blob,
|
||||
materials json
|
||||
);
|
||||
"""
|
||||
|
||||
if self.sql_type == "mysql":
|
||||
# mediumblob holds up to 16mb, longblob holds up to 4gb
|
||||
statement = statement.replace("blob", "mediumblob")
|
||||
|
||||
self.c.execute(statement)
|
||||
|
||||
def create_sqlite_table(self, ifc_class, declaration):
|
||||
statement = f"CREATE TABLE IF NOT EXISTS {ifc_class} ("
|
||||
|
||||
if self.should_expand:
|
||||
statement += "ifc_id INTEGER NOT NULL"
|
||||
else:
|
||||
statement += "ifc_id INTEGER PRIMARY KEY NOT NULL UNIQUE"
|
||||
|
||||
total_attributes = declaration.attribute_count()
|
||||
|
||||
if total_attributes:
|
||||
statement += ","
|
||||
|
||||
derived = declaration.derived()
|
||||
for i in range(0, total_attributes):
|
||||
attribute = declaration.attribute_by_index(i)
|
||||
primitive = ifcopenshell.util.attribute.get_primitive_type(attribute)
|
||||
if primitive in ("string", "enum"):
|
||||
data_type = "TEXT"
|
||||
elif primitive in ("entity", "integer", "boolean"):
|
||||
data_type = "INTEGER"
|
||||
elif primitive == "float":
|
||||
data_type = "REAL"
|
||||
elif self.should_expand and self.is_entity_list(attribute):
|
||||
data_type = "INTEGER"
|
||||
elif isinstance(primitive, tuple):
|
||||
data_type = "JSON"
|
||||
else:
|
||||
print(attribute, primitive) # Not implemented?
|
||||
if not self.is_strict or derived[i]:
|
||||
optional = ""
|
||||
else:
|
||||
optional = "" if attribute.optional() else " NOT NULL"
|
||||
comma = "" if i == total_attributes - 1 else ","
|
||||
statement += f" `{attribute.name()}` {data_type}{optional}{comma}"
|
||||
statement += ");"
|
||||
print(statement)
|
||||
self.c.execute(statement)
|
||||
|
||||
def create_mysql_table(self, ifc_class, declaration):
|
||||
declaration = self.schema.declaration_by_name(ifc_class)
|
||||
statement = f"CREATE TABLE IF NOT EXISTS {ifc_class} ("
|
||||
statement += "`ifc_id` int(10) unsigned NOT NULL,"
|
||||
|
||||
derived = declaration.derived()
|
||||
for attribute in declaration.all_attributes():
|
||||
primitive = ifcopenshell.util.attribute.get_primitive_type(attribute)
|
||||
if primitive in ("string", "enum"):
|
||||
if "IfcText" in str(attribute.type_of_attribute()):
|
||||
data_type = "text"
|
||||
else:
|
||||
data_type = "varchar(255)"
|
||||
elif primitive == "entity":
|
||||
data_type = "int(10) unsigned"
|
||||
elif primitive == "boolean":
|
||||
data_type = "tinyint(1)"
|
||||
elif primitive == "integer":
|
||||
data_type = "int(10)"
|
||||
if "Positive" in str(attribute.type_of_attribute()):
|
||||
data_type += " unsigned"
|
||||
elif primitive == "float":
|
||||
data_type = "decimal(10,0)"
|
||||
elif self.should_expand and self.is_entity_list(attribute):
|
||||
data_type = "int(10) unsigned"
|
||||
elif isinstance(primitive, tuple):
|
||||
data_type = "JSON"
|
||||
else:
|
||||
print(attribute, primitive) # Not implemented?
|
||||
if not self.is_strict or derived[i]:
|
||||
optional = "DEFAULT NULL"
|
||||
else:
|
||||
optional = "DEFAULT NULL" if attribute.optional() else "NOT NULL"
|
||||
statement += f" `{attribute.name()}` {data_type} {optional},"
|
||||
|
||||
if self.should_expand:
|
||||
statement = statement[0:-1]
|
||||
else:
|
||||
statement += " PRIMARY KEY (`ifc_id`)"
|
||||
|
||||
statement += ") ENGINE=InnoDB DEFAULT CHARSET=utf8mb3 COLLATE=utf8mb3_general_ci;"
|
||||
print(statement)
|
||||
self.c.execute(statement)
|
||||
|
||||
def insert_data(self, ifc_class):
|
||||
print("Extracting data for", ifc_class)
|
||||
elements = self.file.by_type(ifc_class, include_subtypes=False)
|
||||
|
||||
rows = []
|
||||
id_map_rows = []
|
||||
pset_rows = []
|
||||
|
||||
for element in elements:
|
||||
nested_indices = []
|
||||
values = [element.id()]
|
||||
for i, attribute in enumerate(element):
|
||||
if isinstance(attribute, ifcopenshell.entity_instance):
|
||||
if attribute.id():
|
||||
values.append(attribute.id())
|
||||
else:
|
||||
values.append(json.dumps({"type": attribute.is_a(), "value": attribute.wrappedValue}))
|
||||
elif (
|
||||
self.should_expand
|
||||
and attribute
|
||||
and isinstance(attribute, tuple)
|
||||
and isinstance(attribute[0], ifcopenshell.entity_instance)
|
||||
):
|
||||
nested_indices.append(i + 1)
|
||||
serialised_attribute = self.serialise_value(element, attribute)
|
||||
if attribute[0].id():
|
||||
values.append(serialised_attribute)
|
||||
else:
|
||||
values.append(json.dumps(serialised_attribute))
|
||||
elif isinstance(attribute, tuple):
|
||||
attribute = self.serialise_value(element, attribute)
|
||||
values.append(json.dumps(attribute))
|
||||
else:
|
||||
values.append(attribute)
|
||||
|
||||
if self.should_expand:
|
||||
rows.extend(self.get_permutations(values, nested_indices))
|
||||
else:
|
||||
rows.append(values)
|
||||
|
||||
id_map_rows.append([element.id(), ifc_class])
|
||||
|
||||
if self.should_get_psets:
|
||||
psets = ifcopenshell.util.element.get_psets(element)
|
||||
for pset_name, pset_data in psets.items():
|
||||
for prop_name, value in pset_data.items():
|
||||
if prop_name == "id":
|
||||
continue
|
||||
pset_rows.append([element.id(), pset_name, prop_name, value])
|
||||
|
||||
if self.should_get_geometry:
|
||||
if element.id() not in self.shape_rows and getattr(element, "ObjectPlacement", None):
|
||||
m = ifcopenshell.util.placement.get_local_placement(element.ObjectPlacement)
|
||||
x, y, z = m[:, 3][0:3]
|
||||
self.shape_rows[element.id()] = [element.id(), float(x), float(y), float(z), m.tobytes(), None]
|
||||
|
||||
if self.sql_type == "sqlite":
|
||||
if rows:
|
||||
self.c.executemany(f"INSERT INTO {ifc_class} VALUES ({','.join(['?']*len(rows[0]))});", rows)
|
||||
self.c.executemany("INSERT INTO id_map VALUES (?, ?);", id_map_rows)
|
||||
if pset_rows:
|
||||
self.c.executemany("INSERT INTO psets VALUES (?, ?, ?, ?);", pset_rows)
|
||||
elif self.sql_type == "mysql":
|
||||
if rows:
|
||||
self.c.executemany(f"INSERT INTO {ifc_class} VALUES ({','.join(['%s']*len(rows[0]))});", rows)
|
||||
self.c.executemany("INSERT INTO id_map VALUES (%s, %s);", id_map_rows)
|
||||
if pset_rows:
|
||||
self.c.executemany("INSERT INTO psets VALUES (%s, %s, %s, %s);", pset_rows)
|
||||
|
||||
def serialise_value(self, element, value):
|
||||
return element.walk(
|
||||
lambda v: isinstance(v, ifcopenshell.entity_instance),
|
||||
lambda v: v.id() if v.id() else {"type": v.is_a(), "value": v.wrappedValue},
|
||||
value,
|
||||
)
|
||||
|
||||
def get_permutations(self, lst, indexes):
|
||||
nested_lists = [lst[i] for i in indexes]
|
||||
|
||||
# Generate the Cartesian product of the nested lists
|
||||
products = list(itertools.product(*nested_lists))
|
||||
|
||||
# Place the elements of each product back in their original positions
|
||||
final_lists = []
|
||||
for product in products:
|
||||
temp_list = lst[:]
|
||||
for i, index in enumerate(indexes):
|
||||
temp_list[index] = product[i]
|
||||
final_lists.append(temp_list)
|
||||
|
||||
return final_lists
|
||||
|
||||
def is_entity_list(self, attribute):
|
||||
attribute = str(attribute.type_of_attribute())
|
||||
if (attribute.startswith("<list") or attribute.startswith("<set")) and "<entity" in attribute:
|
||||
for data_type in re.findall("<(.*?) .*?>", attribute):
|
||||
if data_type not in ("list", "set", "select", "entity"):
|
||||
return False
|
||||
return True
|
||||
return False
|
||||
Reference in New Issue
Block a user