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AStarGrid2D

Inherits: RefCounted < Object

An implementation of A* for finding the shortest path between two points on a partial 2D grid.

Description

AStarGrid2D is a variant of AStar2D that is specialized for partial 2D grids. It is simpler to use because it doesn't require you to manually create points and connect them together. This class also supports multiple types of heuristics, modes for diagonal movement, and a jumping mode to speed up calculations.

To use AStarGrid2D, you only need to set the region of the grid, optionally set the cell_size, and then call the update method:

var astar_grid = AStarGrid2D.new()
astar_grid.region = Rect2i(0, 0, 32, 32)
astar_grid.cell_size = Vector2(16, 16)
astar_grid.update()
print(astar_grid.get_id_path(Vector2i(0, 0), Vector2i(3, 4))) # prints (0, 0), (1, 1), (2, 2), (3, 3), (3, 4)
print(astar_grid.get_point_path(Vector2i(0, 0), Vector2i(3, 4))) # prints (0, 0), (16, 16), (32, 32), (48, 48), (48, 64)

To remove a point from the pathfinding grid, it must be set as "solid" with set_point_solid.

Properties

CellShape

cell_shape

0

Vector2

cell_size

Vector2(1, 1)

Heuristic

default_compute_heuristic

0

Heuristic

default_estimate_heuristic

0

DiagonalMode

diagonal_mode

0

bool

jumping_enabled

false

Vector2

offset

Vector2(0, 0)

Rect2i

region

Rect2i(0, 0, 0, 0)

Vector2i

size

Vector2i(0, 0)

Methods

float

_compute_cost(from_id: Vector2i, to_id: Vector2i) virtual const

float

_estimate_cost(from_id: Vector2i, to_id: Vector2i) virtual const

void

clear()

void

fill_solid_region(region: Rect2i, solid: bool = true)

void

fill_weight_scale_region(region: Rect2i, weight_scale: float)

Array[Vector2i]

get_id_path(from_id: Vector2i, to_id: Vector2i, allow_partial_path: bool = false)

PackedVector2Array

get_point_path(from_id: Vector2i, to_id: Vector2i, allow_partial_path: bool = false)

Vector2

get_point_position(id: Vector2i) const

float

get_point_weight_scale(id: Vector2i) const

bool

is_dirty() const

bool

is_in_bounds(x: int, y: int) const

bool

is_in_boundsv(id: Vector2i) const

bool

is_point_solid(id: Vector2i) const

void

set_point_solid(id: Vector2i, solid: bool = true)

void

set_point_weight_scale(id: Vector2i, weight_scale: float)

void

update()


Enumerations

enum Heuristic:

Heuristic HEURISTIC_EUCLIDEAN = 0

The Euclidean heuristic to be used for the pathfinding using the following formula:

dx = abs(to_id.x - from_id.x)
dy = abs(to_id.y - from_id.y)
result = sqrt(dx * dx + dy * dy)

Note: This is also the internal heuristic used in AStar3D and AStar2D by default (with the inclusion of possible z-axis coordinate).

Heuristic HEURISTIC_MANHATTAN = 1

The Manhattan heuristic to be used for the pathfinding using the following formula:

dx = abs(to_id.x - from_id.x)
dy = abs(to_id.y - from_id.y)
result = dx + dy

Note: This heuristic is intended to be used with 4-side orthogonal movements, provided by setting the diagonal_mode to DIAGONAL_MODE_NEVER.

Heuristic HEURISTIC_OCTILE = 2

The Octile heuristic to be used for the pathfinding using the following formula:

dx = abs(to_id.x - from_id.x)
dy = abs(to_id.y - from_id.y)
f = sqrt(2) - 1
result = (dx < dy) ? f * dx + dy : f * dy + dx;

Heuristic HEURISTIC_CHEBYSHEV = 3

The Chebyshev heuristic to be used for the pathfinding using the following formula:

dx = abs(to_id.x - from_id.x)
dy = abs(to_id.y - from_id.y)
result = max(dx, dy)

Heuristic HEURISTIC_MAX = 4

Represents the size of the Heuristic enum.


enum DiagonalMode:

DiagonalMode DIAGONAL_MODE_ALWAYS = 0

The pathfinding algorithm will ignore solid neighbors around the target cell and allow passing using diagonals.

DiagonalMode DIAGONAL_MODE_NEVER = 1

The pathfinding algorithm will ignore all diagonals and the way will be always orthogonal.

DiagonalMode DIAGONAL_MODE_AT_LEAST_ONE_WALKABLE = 2

The pathfinding algorithm will avoid using diagonals if at least two obstacles have been placed around the neighboring cells of the specific path segment.

DiagonalMode DIAGONAL_MODE_ONLY_IF_NO_OBSTACLES = 3

The pathfinding algorithm will avoid using diagonals if any obstacle has been placed around the neighboring cells of the specific path segment.

DiagonalMode DIAGONAL_MODE_MAX = 4

Represents the size of the DiagonalMode enum.


enum CellShape:

CellShape CELL_SHAPE_SQUARE = 0

Rectangular cell shape.

CellShape CELL_SHAPE_ISOMETRIC_RIGHT = 1

Diamond cell shape (for isometric look). Cell coordinates layout where the horizontal axis goes up-right, and the vertical one goes down-right.

CellShape CELL_SHAPE_ISOMETRIC_DOWN = 2

Diamond cell shape (for isometric look). Cell coordinates layout where the horizontal axis goes down-right, and the vertical one goes down-left.

CellShape CELL_SHAPE_MAX = 3

Represents the size of the CellShape enum.


Property Descriptions

CellShape cell_shape = 0

The cell shape. Affects how the positions are placed in the grid. If changed, update needs to be called before finding the next path.


Vector2 cell_size = Vector2(1, 1)

The size of the point cell which will be applied to calculate the resulting point position returned by get_point_path. If changed, update needs to be called before finding the next path.


Heuristic default_compute_heuristic = 0

  • void set_default_compute_heuristic(value: Heuristic)

  • Heuristic get_default_compute_heuristic()

The default Heuristic which will be used to calculate the cost between two points if _compute_cost was not overridden.


Heuristic default_estimate_heuristic = 0

  • void set_default_estimate_heuristic(value: Heuristic)

  • Heuristic get_default_estimate_heuristic()

The default Heuristic which will be used to calculate the cost between the point and the end point if _estimate_cost was not overridden.


DiagonalMode diagonal_mode = 0

A specific DiagonalMode mode which will force the path to avoid or accept the specified diagonals.


bool jumping_enabled = false

  • void set_jumping_enabled(value: bool)

  • bool is_jumping_enabled()

Enables or disables jumping to skip up the intermediate points and speeds up the searching algorithm.

Note: Currently, toggling it on disables the consideration of weight scaling in pathfinding.


Vector2 offset = Vector2(0, 0)

The offset of the grid which will be applied to calculate the resulting point position returned by get_point_path. If changed, update needs to be called before finding the next path.


Rect2i region = Rect2i(0, 0, 0, 0)

The region of grid cells available for pathfinding. If changed, update needs to be called before finding the next path.


Vector2i size = Vector2i(0, 0)

Deprecated: Use region instead.

The size of the grid (number of cells of size cell_size on each axis). If changed, update needs to be called before finding the next path.


Method Descriptions

float _compute_cost(from_id: Vector2i, to_id: Vector2i) virtual const

Called when computing the cost between two connected points.

Note that this function is hidden in the default AStarGrid2D class.


float _estimate_cost(from_id: Vector2i, to_id: Vector2i) virtual const

Called when estimating the cost between a point and the path's ending point.

Note that this function is hidden in the default AStarGrid2D class.


void clear()

Clears the grid and sets the region to Rect2i(0, 0, 0, 0).


void fill_solid_region(region: Rect2i, solid: bool = true)

Fills the given region on the grid with the specified value for the solid flag.

Note: Calling update is not needed after the call of this function.


void fill_weight_scale_region(region: Rect2i, weight_scale: float)

Fills the given region on the grid with the specified value for the weight scale.

Note: Calling update is not needed after the call of this function.


Array[Vector2i] get_id_path(from_id: Vector2i, to_id: Vector2i, allow_partial_path: bool = false)

Returns an array with the IDs of the points that form the path found by AStar2D between the given points. The array is ordered from the starting point to the ending point of the path.

If there is no valid path to the target, and allow_partial_path is true, returns a path to the point closest to the target that can be reached.


PackedVector2Array get_point_path(from_id: Vector2i, to_id: Vector2i, allow_partial_path: bool = false)

Returns an array with the points that are in the path found by AStarGrid2D between the given points. The array is ordered from the starting point to the ending point of the path.

If there is no valid path to the target, and allow_partial_path is true, returns a path to the point closest to the target that can be reached.

Note: This method is not thread-safe. If called from a Thread, it will return an empty array and will print an error message.


Vector2 get_point_position(id: Vector2i) const

Returns the position of the point associated with the given id.


float get_point_weight_scale(id: Vector2i) const

Returns the weight scale of the point associated with the given id.


bool is_dirty() const

Indicates that the grid parameters were changed and update needs to be called.


bool is_in_bounds(x: int, y: int) const

Returns true if the x and y is a valid grid coordinate (id), i.e. if it is inside region. Equivalent to region.has_point(Vector2i(x, y)).


bool is_in_boundsv(id: Vector2i) const

Returns true if the id vector is a valid grid coordinate, i.e. if it is inside region. Equivalent to region.has_point(id).


bool is_point_solid(id: Vector2i) const

Returns true if a point is disabled for pathfinding. By default, all points are enabled.


void set_point_solid(id: Vector2i, solid: bool = true)

Disables or enables the specified point for pathfinding. Useful for making an obstacle. By default, all points are enabled.

Note: Calling update is not needed after the call of this function.


void set_point_weight_scale(id: Vector2i, weight_scale: float)

Sets the weight_scale for the point with the given id. The weight_scale is multiplied by the result of _compute_cost when determining the overall cost of traveling across a segment from a neighboring point to this point.

Note: Calling update is not needed after the call of this function.


void update()

Updates the internal state of the grid according to the parameters to prepare it to search the path. Needs to be called if parameters like region, cell_size or offset are changed. is_dirty will return true if this is the case and this needs to be called.

Note: All point data (solidity and weight scale) will be cleared.


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