IfcOpenShell/src/blenderbim/blenderbim/bim/module/search/data.py

# BlenderBIM Add-on - OpenBIM Blender Add-on
# Copyright (C) 2023 Dion Moult <dion@thinkmoult.com>
#
# This file is part of BlenderBIM Add-on.
#
# BlenderBIM Add-on is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# BlenderBIM Add-on is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with BlenderBIM Add-on.  If not, see <http://www.gnu.org/licenses/>.

import bpy
import json
import blenderbim.tool as tool


def refresh():
    SearchData.is_loaded = False
    ColourByPropertyData.is_loaded = False


class SearchData:
    data = {}
    is_loaded = False

    @classmethod
    def load(cls):
        cls.is_loaded = True
        cls.data = {}
        cls.data["saved_searches"] = cls.saved_searches()

    @classmethod
    def saved_searches(cls):
        groups = tool.Ifc.get().by_type("IfcGroup")
        results = []
        for group in groups:
            try:
                data = json.loads(group.Description)
                if isinstance(data, dict) and data.get("type", None) == "BBIM_Search":
                    results.append(group)
            except:
                pass
        return [(str(g.id()), g.Name or "Unnamed", "") for g in sorted(results, key=lambda x: x.Name or "Unnamed")]


class ColourByPropertyData:
    data = {}
    is_loaded = False

    @classmethod
    def load(cls):
        cls.is_loaded = True
        cls.data = {}
        cls.data["saved_colourschemes"] = cls.saved_colourschemes()

    @classmethod
    def saved_colourschemes(cls):
        groups = tool.Ifc.get().by_type("IfcGroup")
        results = []
        for group in groups:
            try:
                data = json.loads(group.Description)
                if (
                    isinstance(data, dict)
                    and data.get("type", None) == "BBIM_Search"
                    and data.get("colourscheme", None)
                ):
                    results.append(group)
            except:
                pass
        return [(str(g.id()), g.Name or "Unnamed", "") for g in sorted(results, key=lambda x: x.Name or "Unnamed")]