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Implement multiprocessing in shape creation for IFC drawings
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@@ -4,6 +4,7 @@ import time
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import numpy
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import pickle
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import sys
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import multiprocessing
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try:
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from OCC.Core import (
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@@ -293,9 +294,8 @@ class IfcCutter:
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# TODO: This should perhaps be configurable, e.g. spaces cut to show zones in the drawing
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products.extend(ifc_file.by_type('IfcElement'))
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total_products = len(products)
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include_elements = []
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for i, product in enumerate(products):
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print('{}/{} geometry processed ...'.format(i, total_products), end='\r', flush=True)
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if product.is_a('IfcOpeningElement') \
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or product.is_a('IfcSite') \
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or product.Representation is None \
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@@ -304,17 +304,33 @@ class IfcCutter:
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try:
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if self.should_recut_selected \
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and product.GlobalId in self.selected_global_ids:
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shape = ifcopenshell.geom.create_shape(settings, product).geometry
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shape_map[product.GlobalId] = shape
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include_elements.append(product)
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elif product.GlobalId in shape_map:
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shape = shape_map[product.GlobalId]
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self.product_shapes.append((product, shape))
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else:
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shape = ifcopenshell.geom.create_shape(settings, product).geometry
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shape_map[product.GlobalId] = shape
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self.product_shapes.append((product, shape))
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include_elements.append(product)
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except:
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print('Failed to create shape for {}'.format(product))
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if include_elements:
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total = 0
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checkpoint = time.time()
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iterator = ifcopenshell.geom.iterator(
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settings, ifc_file, multiprocessing.cpu_count(), include=include_elements)
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valid_file = iterator.initialize()
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if valid_file:
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while True:
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total += 1
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if total % 250 == 0:
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print('{} elements processed in {:.2f}s ...'.format(total, time.time() - checkpoint))
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checkpoint = time.time()
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shape = iterator.get()
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shape_map[shape.data.guid] = shape.geometry
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self.product_shapes.append((ifc_file.by_guid(shape.data.guid), shape.geometry))
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if not iterator.next():
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break
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with open(shape_pickle, 'wb') as shape_file:
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pickle.dump(shape_map, shape_file, protocol=pickle.HIGHEST_PROTOCOL)
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@@ -688,7 +704,6 @@ class IfcCutter:
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def get_fresh_cut_polygons(self):
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process_data = [(p.GlobalId, s, self.section_box['face'], self.transformation_data) for p, s in self.product_shapes]
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import multiprocessing
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import bpy
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multiprocessing.set_executable(bpy.app.binary_path_python)
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