mirror of
https://git.mirrors.martin98.com/https://github.com/Ultimaker/Cura
synced 2025-05-02 08:44:25 +08:00
394 lines
19 KiB
Python
394 lines
19 KiB
Python
import math
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from typing import List, TYPE_CHECKING, Tuple, Set
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if TYPE_CHECKING:
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from UM.Scene.SceneNode import SceneNode
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from cura.BuildVolume import BuildVolume
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from UM.Application import Application
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from UM.Math.Vector import Vector
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from UM.Operations.AddSceneNodeOperation import AddSceneNodeOperation
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from UM.Operations.GroupedOperation import GroupedOperation
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from UM.Operations.TranslateOperation import TranslateOperation
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from cura.Arranging.Arranger import Arranger
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class GridArrange(Arranger):
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def __init__(self, nodes_to_arrange: List["SceneNode"], build_volume: "BuildVolume", fixed_nodes: List["SceneNode"] = None):
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if fixed_nodes is None:
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fixed_nodes = []
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self._nodes_to_arrange = nodes_to_arrange
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self._build_volume = build_volume
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self._build_volume_bounding_box = build_volume.getBoundingBox()
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self._fixed_nodes = fixed_nodes
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self._margin_x: float = 1
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self._margin_y: float = 1
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self._grid_width = 0
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self._grid_height = 0
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for node in self._nodes_to_arrange:
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bounding_box = node.getBoundingBox()
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self._grid_width = max(self._grid_width, bounding_box.width)
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self._grid_height = max(self._grid_height, bounding_box.depth)
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self._grid_width += self._margin_x
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self._grid_height += self._margin_y
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# Round up the grid size to the nearest cm
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self._grid_width = math.ceil(self._grid_width / 10) * 10
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self._grid_height = math.ceil(self._grid_height / 10) * 10
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self._offset_x = 0
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self._offset_y = 0
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self._findOptimalGridOffset()
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coord_initial_leftover_x = self._build_volume_bounding_box.right + 2 * self._grid_width
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coord_initial_leftover_y = (self._build_volume_bounding_box.back + self._build_volume_bounding_box.front) * 0.5
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self._initial_leftover_grid_x, self._initial_leftover_grid_y = self.coordSpaceToGridSpace(coord_initial_leftover_x, coord_initial_leftover_y)
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self._initial_leftover_grid_x = math.floor(self._initial_leftover_grid_x)
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self._initial_leftover_grid_y = math.floor(self._initial_leftover_grid_y)
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# Find grid indexes that intersect with fixed objects
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self._fixed_nodes_grid_ids = set()
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for node in self._fixed_nodes:
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self._fixed_nodes_grid_ids = self._fixed_nodes_grid_ids.union(
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self.intersectingGridIdxInclusive(node.getBoundingBox()))
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self._build_plate_grid_ids = self.intersectingGridIdxExclusive(self._build_volume_bounding_box)
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# Filter out the corner grid squares if the build plate shape is elliptic
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if self._build_volume.getShape() == "elliptic":
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self._build_plate_grid_ids = set(
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filter(lambda grid_id: self.checkGridUnderDiscSpace(grid_id[0], grid_id[1]),
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self._build_plate_grid_ids))
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self._allowed_grid_idx = self._build_plate_grid_ids.difference(self._fixed_nodes_grid_ids)
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def createGroupOperationForArrange(self, add_new_nodes_in_scene: bool = False) -> Tuple[GroupedOperation, int]:
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# Find the sequence in which items are placed
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coord_build_plate_center_x = self._build_volume_bounding_box.width * 0.5 + self._build_volume_bounding_box.left
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coord_build_plate_center_y = self._build_volume_bounding_box.depth * 0.5 + self._build_volume_bounding_box.back
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grid_build_plate_center_x, grid_build_plate_center_y = self.coordSpaceToGridSpace(coord_build_plate_center_x, coord_build_plate_center_y)
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sequence: List[Tuple[int, int]] = list(self._allowed_grid_idx)
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sequence.sort(key=lambda grid_id: (grid_build_plate_center_x - grid_id[0]) ** 2 + (
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grid_build_plate_center_y - grid_id[1]) ** 2)
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scene_root = Application.getInstance().getController().getScene().getRoot()
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grouped_operation = GroupedOperation()
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for grid_id, node in zip(sequence, self._nodes_to_arrange):
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if add_new_nodes_in_scene:
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grouped_operation.addOperation(AddSceneNodeOperation(node, scene_root))
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grid_x, grid_y = grid_id
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operation = self._moveNodeOnGrid(node, grid_x, grid_y)
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grouped_operation.addOperation(operation)
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leftover_nodes = self._nodes_to_arrange[len(sequence):]
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left_over_grid_y = self._initial_leftover_grid_y
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for node in leftover_nodes:
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if add_new_nodes_in_scene:
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grouped_operation.addOperation(AddSceneNodeOperation(node, scene_root))
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# find the first next grid position that isn't occupied by a fixed node
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while (self._initial_leftover_grid_x, left_over_grid_y) in self._fixed_nodes_grid_ids:
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left_over_grid_y = left_over_grid_y - 1
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operation = self._moveNodeOnGrid(node, self._initial_leftover_grid_x, left_over_grid_y)
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grouped_operation.addOperation(operation)
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left_over_grid_y = left_over_grid_y - 1
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return grouped_operation, len(leftover_nodes)
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def _findOptimalGridOffset(self):
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if len(self._fixed_nodes) == 0:
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self._offset_x = 0
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self._offset_y = 0
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return
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if len(self._fixed_nodes) == 1:
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center_grid_x = 0.5 * self._grid_width + self._build_volume_bounding_box.left
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center_grid_y = 0.5 * self._grid_height + self._build_volume_bounding_box.back
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bounding_box = self._fixed_nodes[0].getBoundingBox()
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center_node_x = (bounding_box.left + bounding_box.right) * 0.5
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center_node_y = (bounding_box.back + bounding_box.front) * 0.5
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self._offset_x = center_node_x - center_grid_x
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self._offset_y = center_node_y - center_grid_y
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return
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# If there are multiple fixed nodes, an optimal solution is not always possible
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# We will try to find an offset that minimizes the number of grid intersections
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# with fixed nodes. The algorithm below achieves this by utilizing a scanline
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# algorithm. In this algorithm each axis is solved separately as offsetting
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# is completely independent in each axis. The comments explaining the algorithm
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# below are for the x-axis, but the same applies for the y-axis.
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#
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# Each node either occupies ceil((node.right - node.right) / grid_width) or
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# ceil((node.right - node.right) / grid_width) + 1 grid squares. We will call
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# these the node's "footprint".
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#
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# ┌────────────────┐
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# minimum food print │ NODE │
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# └────────────────┘
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# │ grid 1 │ grid 2 │ grid 3 │ grid 4 | grid 5 |
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# ┌────────────────┐
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# maximum food print │ NODE │
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# └────────────────┘
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#
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# The algorithm will find the grid offset such that the number of nodes with
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# a _minimal_ footprint is _maximized_.
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# The scanline algorithm works as follows, we create events for both end points
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# of each node's footprint. The event have two properties,
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# - the coordinate: the amount the endpoint can move to the
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# left before it crosses a grid line
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# - the change: either +1 or -1, indicating whether crossing the grid line
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# would result in a minimal footprint node becoming a maximal footprint
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class Event:
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def __init__(self, coord: float, change: float):
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self.coord = coord
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self.change = change
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# create events for both the horizontal and vertical axis
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events_horizontal: List[Event] = []
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events_vertical: List[Event] = []
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for node in self._fixed_nodes:
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bounding_box = node.getBoundingBox()
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left = bounding_box.left - self._build_volume_bounding_box.left
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right = bounding_box.right - self._build_volume_bounding_box.left
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back = bounding_box.back - self._build_volume_bounding_box.back
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front = bounding_box.front - self._build_volume_bounding_box.back
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value_left = math.ceil(left / self._grid_width) * self._grid_width - left
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value_right = math.ceil(right / self._grid_width) * self._grid_width - right
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value_back = math.ceil(back / self._grid_height) * self._grid_height - back
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value_front = math.ceil(front / self._grid_height) * self._grid_height - front
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# give nodes a weight according to their size. This
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# weight is heuristically chosen to be proportional to
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# the number of grid squares the node-boundary occupies
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weight = bounding_box.width + bounding_box.depth
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events_horizontal.append(Event(value_left, weight))
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events_horizontal.append(Event(value_right, -weight))
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events_vertical.append(Event(value_back, weight))
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events_vertical.append(Event(value_front, -weight))
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events_horizontal.sort(key=lambda event: event.coord)
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events_vertical.sort(key=lambda event: event.coord)
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def findOptimalShiftAxis(events: List[Event], interval: float) -> float:
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# executing the actual scanline algorithm
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# iteratively go through events (left to right) and keep track of the
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# current footprint. The optimal location is the one with the minimal
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# footprint. If there are multiple locations with the same minimal
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# footprint, the optimal location is the one with the largest range
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# between the left and right endpoint of the footprint.
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prev_offset = events[-1].coord - interval
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current_minimal_footprint_count = 0
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best_minimal_footprint_count = float('inf')
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best_offset_span = float('-inf')
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best_offset = 0.0
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for event in events:
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offset_span = event.coord - prev_offset
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if current_minimal_footprint_count < best_minimal_footprint_count or (
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current_minimal_footprint_count == best_minimal_footprint_count and offset_span > best_offset_span):
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best_minimal_footprint_count = current_minimal_footprint_count
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best_offset_span = offset_span
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best_offset = event.coord
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current_minimal_footprint_count += event.change
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prev_offset = event.coord
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return best_offset - best_offset_span * 0.5
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center_grid_x = 0.5 * self._grid_width
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center_grid_y = 0.5 * self._grid_height
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optimal_center_x = self._grid_width - findOptimalShiftAxis(events_horizontal, self._grid_width)
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optimal_center_y = self._grid_height - findOptimalShiftAxis(events_vertical, self._grid_height)
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self._offset_x = optimal_center_x - center_grid_x
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self._offset_y = optimal_center_y - center_grid_y
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def _moveNodeOnGrid(self, node: "SceneNode", grid_x: int, grid_y: int) -> "Operation.Operation":
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coord_grid_x, coord_grid_y = self._gridSpaceToCoordSpace(grid_x, grid_y)
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center_grid_x = coord_grid_x + (0.5 * self._grid_width)
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center_grid_y = coord_grid_y + (0.5 * self._grid_height)
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bounding_box = node.getBoundingBox()
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center_node_x = (bounding_box.left + bounding_box.right) * 0.5
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center_node_y = (bounding_box.back + bounding_box.front) * 0.5
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delta_x = center_grid_x - center_node_x
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delta_y = center_grid_y - center_node_y
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return TranslateOperation(node, Vector(delta_x, 0, delta_y))
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def _getGridCornerPoints(self, bounding_box: "BoundingVolume") -> Tuple[float, float, float, float]:
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coord_x1 = bounding_box.left
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coord_x2 = bounding_box.right
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coord_y1 = bounding_box.back
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coord_y2 = bounding_box.front
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grid_x1, grid_y1 = self.coordSpaceToGridSpace(coord_x1, coord_y1)
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grid_x2, grid_y2 = self.coordSpaceToGridSpace(coord_x2, coord_y2)
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return grid_x1, grid_y1, grid_x2, grid_y2
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def intersectingGridIdxInclusive(self, bounding_box: "BoundingVolume") -> Set[Tuple[int, int]]:
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grid_x1, grid_y1, grid_x2, grid_y2 = self._getGridCornerPoints(bounding_box)
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grid_idx = set()
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for grid_x in range(math.floor(grid_x1), math.ceil(grid_x2)):
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for grid_y in range(math.floor(grid_y1), math.ceil(grid_y2)):
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grid_idx.add((grid_x, grid_y))
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return grid_idx
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def intersectingGridIdxExclusive(self, bounding_box: "BoundingVolume") -> Set[Tuple[int, int]]:
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grid_x1, grid_y1, grid_x2, grid_y2 = self._getGridCornerPoints(bounding_box)
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grid_idx = set()
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for grid_x in range(math.ceil(grid_x1), math.floor(grid_x2)):
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for grid_y in range(math.ceil(grid_y1), math.floor(grid_y2)):
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grid_idx.add((grid_x, grid_y))
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return grid_idx
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def _gridSpaceToCoordSpace(self, x: float, y: float) -> Tuple[float, float]:
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grid_x = x * self._grid_width + self._build_volume_bounding_box.left + self._offset_x
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grid_y = y * self._grid_height + self._build_volume_bounding_box.back + self._offset_y
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return grid_x, grid_y
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def coordSpaceToGridSpace(self, grid_x: float, grid_y: float) -> Tuple[float, float]:
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coord_x = (grid_x - self._build_volume_bounding_box.left - self._offset_x) / self._grid_width
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coord_y = (grid_y - self._build_volume_bounding_box.back - self._offset_y) / self._grid_height
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return coord_x, coord_y
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def checkGridUnderDiscSpace(self, grid_x: int, grid_y: int) -> bool:
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left, back = self._gridSpaceToCoordSpace(grid_x, grid_y)
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right, front = self._gridSpaceToCoordSpace(grid_x + 1, grid_y + 1)
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corners = [(left, back), (right, back), (right, front), (left, front)]
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return all([self.checkPointUnderDiscSpace(x, y) for x, y in corners])
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def checkPointUnderDiscSpace(self, x: float, y: float) -> bool:
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disc_x, disc_y = self.coordSpaceToDiscSpace(x, y)
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distance_to_center_squared = disc_x ** 2 + disc_y ** 2
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return distance_to_center_squared <= 1.0
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def coordSpaceToDiscSpace(self, x: float, y: float) -> Tuple[float, float]:
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# Transform coordinate system to
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#
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# coord_build_plate_left = -1
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# | coord_build_plate_right = 1
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# v (0,1) v
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# ┌───────┬───────┐ < coord_build_plate_back = -1
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# │ │ │
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# │ │(0,0) │
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# (-1,0)├───────o───────┤(1,0)
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# │ │ │
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# │ │ │
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# └───────┴───────┘ < coord_build_plate_front = +1
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# (0,-1)
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disc_x = ((x - self._build_volume_bounding_box.left) / self._build_volume_bounding_box.width) * 2.0 - 1.0
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disc_y = ((y - self._build_volume_bounding_box.back) / self._build_volume_bounding_box.depth) * 2.0 - 1.0
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return disc_x, disc_y
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def _drawDebugSvg(self):
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with open("Builvolume_test.svg", "w") as f:
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build_volume_bounding_box = self._build_volume_bounding_box
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f.write(
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f"<svg xmlns='http://www.w3.org/2000/svg' viewBox='{build_volume_bounding_box.left - 100} {build_volume_bounding_box.back - 100} {build_volume_bounding_box.width + 200} {build_volume_bounding_box.depth + 200}'>\n")
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if self._build_volume.getShape() == "elliptic":
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f.write(
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f"""
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<ellipse
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cx='{(build_volume_bounding_box.left + build_volume_bounding_box.right) * 0.5}'
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cy='{(build_volume_bounding_box.back + build_volume_bounding_box.front) * 0.5}'
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rx='{build_volume_bounding_box.width * 0.5}'
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ry='{build_volume_bounding_box.depth * 0.5}'
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fill=\"lightgrey\"
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/>
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""")
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else:
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f.write(
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f"""
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<rect
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x='{build_volume_bounding_box.left}'
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y='{build_volume_bounding_box.back}'
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width='{build_volume_bounding_box.width}'
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height='{build_volume_bounding_box.depth}'
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fill=\"lightgrey\"
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/>
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""")
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for grid_x in range(-10, 10):
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for grid_y in range(-10, 10):
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if (grid_x, grid_y) in self._allowed_grid_idx:
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fill_color = "rgba(0, 255, 0, 0.5)"
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elif (grid_x, grid_y) in self._build_plate_grid_ids:
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fill_color = "rgba(255, 165, 0, 0.5)"
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else:
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fill_color = "rgba(255, 0, 0, 0.5)"
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coord_grid_x, coord_grid_y = self._gridSpaceToCoordSpace(grid_x, grid_y)
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f.write(
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f"""
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<rect
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x="{coord_grid_x + self._margin_x * 0.5}"
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y="{coord_grid_y + self._margin_y * 0.5}"
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width="{self._grid_width - self._margin_x}"
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height="{self._grid_height - self._margin_y}"
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fill="{fill_color}"
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stroke="black"
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/>
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""")
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f.write(f"""
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<text
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font-size="4"
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text-anchor="middle"
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alignment-baseline="middle"
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x="{coord_grid_x + self._grid_width * 0.5}"
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y="{coord_grid_y + self._grid_height * 0.5}"
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>
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{grid_x},{grid_y}
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</text>
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""")
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for node in self._fixed_nodes:
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bounding_box = node.getBoundingBox()
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f.write(f"""
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<rect
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x="{bounding_box.left}"
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y="{bounding_box.back}"
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width="{bounding_box.width}"
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height="{bounding_box.depth}"
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fill="red"
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/>
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""")
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f.write(f"""
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<circle
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cx="{self._offset_x}"
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cy="{self._offset_y}"
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r="2"
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stroke="red"
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fill="none"
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/>""")
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# coord_build_plate_center_x = self._build_volume_bounding_box.width * 0.5 + self._build_volume_bounding_box.left
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# coord_build_plate_center_y = self._build_volume_bounding_box.depth * 0.5 + self._build_volume_bounding_box.back
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# f.write(f"""
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# <circle
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# cx="{coord_build_plate_center_x}"
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# cy="{coord_build_plate_center_y}"
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# r="2"
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# stroke="blue"
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# fill="none"
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# />""")
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f.write(f"</svg>")
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