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274dc8d06c
This splits up the finding of new positions with the actual move. This is needed for when we want to place new nodes on model load. CURA-7440
88 lines
3.6 KiB
Python
88 lines
3.6 KiB
Python
import numpy
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from pynest2d import *
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from UM.Math.Matrix import Matrix
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from UM.Math.Polygon import Polygon
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from UM.Math.Quaternion import Quaternion
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from UM.Math.Vector import Vector
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from UM.Operations.GroupedOperation import GroupedOperation
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from UM.Operations.RotateOperation import RotateOperation
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from UM.Operations.TranslateOperation import TranslateOperation
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def findNodePlacement(nodes_to_arrange, build_volume, fixed_nodes = None, factor = 10000):
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machine_width = build_volume.getWidth()
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machine_depth = build_volume.getDepth()
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build_plate_bounding_box = Box(machine_width * factor, machine_depth * factor)
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# Add all the items we want to arrange
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node_items = []
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for node in nodes_to_arrange:
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hull_polygon = node.callDecoration("getConvexHull")
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converted_points = []
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for point in hull_polygon.getPoints():
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converted_points.append(Point(point[0] * factor, point[1] * factor))
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item = Item(converted_points)
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node_items.append(item)
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# Use a tiny margin for the build_plate_polygon (the nesting doesn't like overlapping disallowed areas)
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half_machine_width = 0.5 * machine_width - 1
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half_machine_depth = 0.5 * machine_depth - 1
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build_plate_polygon = Polygon(numpy.array([
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[half_machine_width, -half_machine_depth],
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[-half_machine_width, -half_machine_depth],
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[-half_machine_width, half_machine_depth],
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[half_machine_width, half_machine_depth]
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], numpy.float32))
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disallowed_areas = build_volume.getDisallowedAreas()
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num_disallowed_areas_added = 0
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for area in disallowed_areas:
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converted_points = []
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# Clip the disallowed areas so that they don't overlap the bounding box (The arranger chokes otherwise)
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clipped_area = area.intersectionConvexHulls(build_plate_polygon)
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for point in clipped_area.getPoints():
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converted_points.append(Point(point[0] * factor, point[1] * factor))
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disallowed_area = Item(converted_points)
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disallowed_area.markAsFixedInBin(0)
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node_items.append(disallowed_area)
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num_disallowed_areas_added += 1
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config = NfpConfig()
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config.accuracy = 1.0
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num_bins = nest(node_items, build_plate_bounding_box, 10000, config)
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# Strip the disallowed areas from the results again
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if num_disallowed_areas_added != 0:
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node_items = node_items[:-num_disallowed_areas_added]
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found_solution_for_all = num_bins == 1
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return found_solution_for_all, node_items
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def arrange(nodes_to_arrange, build_volume, fixed_nodes = None, factor = 10000) -> bool:
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found_solution_for_all, node_items = findNodePlacement(nodes_to_arrange, build_volume, fixed_nodes, factor)
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not_fit_count = 0
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grouped_operation = GroupedOperation()
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for node, node_item in zip(nodes_to_arrange, node_items):
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if node_item.binId() == 0:
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# We found a spot for it
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rotation_matrix = Matrix()
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rotation_matrix.setByRotationAxis(node_item.rotation(), Vector(0, -1, 0))
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grouped_operation.addOperation(RotateOperation(node, Quaternion.fromMatrix(rotation_matrix)))
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grouped_operation.addOperation(TranslateOperation(node, Vector(node_item.translation().x() / factor, 0,
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node_item.translation().y() / factor)))
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else:
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# We didn't find a spot
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grouped_operation.addOperation(
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TranslateOperation(node, Vector(200, 0, -not_fit_count * 20), set_position=True))
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not_fit_count += 1
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grouped_operation.push()
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return found_solution_for_all
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