Cura/cura/Arranging/Nest2DArrange.py
2020-10-05 13:37:57 +02:00

104 lines
4.1 KiB
Python

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