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https://github.com/IfcOpenShell/IfcOpenShell.git
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135 lines
4.6 KiB
Python
135 lines
4.6 KiB
Python
# Bonsai - OpenBIM Blender Add-on
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# Copyright (C) 2023 Dion Moult <dion@thinkmoult.com>
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#
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# This file is part of Bonsai.
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#
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# Bonsai is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Bonsai is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with Bonsai. If not, see <http://www.gnu.org/licenses/>.
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import bpy
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import json
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import ifcopenshell.util.element
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import bonsai.tool as tool
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from natsort import natsorted
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def refresh():
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SearchData.is_loaded = False
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ColourByPropertyData.is_loaded = False
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SelectSimilarData.is_loaded = False
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class SearchData:
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data = {}
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is_loaded = False
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@classmethod
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def load(cls):
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cls.is_loaded = True
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cls.data = {}
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cls.data["saved_searches"] = cls.saved_searches()
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@classmethod
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def saved_searches(cls) -> list[tuple[str, str, str]]:
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if not tool.Ifc.get():
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return []
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groups = tool.Ifc.get().by_type("IfcGroup")
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results: list[ifcopenshell.entity_instance] = []
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for group in groups:
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try:
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data = json.loads(group.Description)
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if isinstance(data, dict) and data.get("type", None) == "BBIM_Search" and data.get("query", None):
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results.append(group)
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except:
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pass
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enum_items = [(str(g.id()), g.Name or "Unnamed", "") for g in results]
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return natsorted(enum_items, key=lambda x: x[1])
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class ColourByPropertyData:
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data = {}
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is_loaded = False
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@classmethod
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def load(cls):
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cls.is_loaded = True
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cls.data = {}
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cls.data["saved_colourschemes"] = cls.saved_colourschemes()
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cls.data["colourscheme_key"] = cls.colourscheme_key()
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@classmethod
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def saved_colourschemes(cls):
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groups = tool.Ifc.get().by_type("IfcGroup")
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results = []
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for group in groups:
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try:
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data = json.loads(group.Description)
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if (
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isinstance(data, dict)
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and data.get("type", None) == "BBIM_Search"
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and data.get("colourscheme", None)
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):
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results.append(group)
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except:
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pass
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return [(str(g.id()), g.Name or "Unnamed", "") for g in sorted(results, key=lambda x: x.Name or "Unnamed")]
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@classmethod
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def colourscheme_key(cls):
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default = [("QUERY", "Custom Query", "Specify a custom query to colour by"), None]
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obj = bpy.context.active_object
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if not obj:
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return default
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element = tool.Ifc.get_entity(obj)
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if not element:
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return default
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keys = [a.name() for a in element.wrapped_data.declaration().as_entity().all_attributes()]
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psets = ifcopenshell.util.element.get_psets(element)
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for pset, properties in psets.items():
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if pset.endswith("Common"):
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keys.extend([f'/.*Common/."{name}"' for name in properties.keys() if name != "id"])
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elif pset.endswith("BaseQuantities"):
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keys.extend([f'/.*BaseQuantities/."{name}"' for name in properties.keys() if name != "id"])
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else:
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keys.extend([f'"{pset}"."{name}"' for name in properties.keys() if name != "id"])
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results = [(k, k, "") for k in keys]
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return default + results
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class SelectSimilarData:
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data = {}
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is_loaded = False
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@classmethod
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def load(cls):
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cls.is_loaded = True
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cls.data = {}
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cls.data["element_key"] = cls.element_key()
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@classmethod
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def element_key(cls):
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obj = bpy.context.active_object
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if not obj:
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return []
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element = tool.Ifc.get_entity(obj)
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if not element:
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return []
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keys = [a.name() for a in element.wrapped_data.declaration().as_entity().all_attributes()]
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psets = ifcopenshell.util.element.get_psets(element, psets_only=True)
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for pset, properties in psets.items():
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if pset.endswith("Common"):
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keys.extend([f'/.*Common/."{name}"' for name in properties.keys() if name != "id"])
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else:
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keys.extend([f"{pset}.{name}" for name in properties.keys() if name != "id"])
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return [(k, k, "") for k in keys]
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