_Core/systems/GridSystem.gd

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+# ============================================================================
+# 网格系统 - GridSystem.gd
+# 
+# 提供32x32像素的最小网格单元控制，用于规范地图大小和位置计算
+# 
+# 使用方式:
+#   var grid_pos = GridSystem.world_to_grid(world_position)
+#   var world_pos = GridSystem.grid_to_world(grid_position)
+#   var snapped_pos = GridSystem.snap_to_grid(position)
+# ============================================================================
+
+class_name GridSystem
+extends RefCounted
+
+# ============================================================================
+# 常量定义
+# ============================================================================
+const GRID_SIZE: int = 32  # 网格单元大小 32x32 像素
+const HALF_GRID_SIZE: float = GRID_SIZE * 0.5  # 网格中心偏移
+
+# ============================================================================
+# 坐标转换方法
+# ============================================================================
+
+# 世界坐标转换为网格坐标
+static func world_to_grid(world_pos: Vector2) -> Vector2i:
+	return Vector2i(
+		int(world_pos.x / GRID_SIZE),
+		int(world_pos.y / GRID_SIZE)
+	)
+
+# 网格坐标转换为世界坐标（返回网格左上角）
+static func grid_to_world(grid_pos: Vector2i) -> Vector2:
+	return Vector2(
+		grid_pos.x * GRID_SIZE,
+		grid_pos.y * GRID_SIZE
+	)
+
+# 网格坐标转换为世界坐标（返回网格中心）
+static func grid_to_world_center(grid_pos: Vector2i) -> Vector2:
+	return Vector2(
+		grid_pos.x * GRID_SIZE + HALF_GRID_SIZE,
+		grid_pos.y * GRID_SIZE + HALF_GRID_SIZE
+	)
+
+# 将位置吸附到最近的网格点（左上角）
+static func snap_to_grid(position: Vector2) -> Vector2:
+	return Vector2(
+		floor(position.x / GRID_SIZE) * GRID_SIZE,
+		floor(position.y / GRID_SIZE) * GRID_SIZE
+	)
+
+# 将位置吸附到最近的网格中心
+static func snap_to_grid_center(position: Vector2) -> Vector2:
+	var grid_pos = world_to_grid(position)
+	return grid_to_world_center(grid_pos)
+
+# ============================================================================
+# 距离和区域计算
+# ============================================================================
+
+# 计算两个网格坐标之间的曼哈顿距离
+static func grid_distance_manhattan(grid_pos1: Vector2i, grid_pos2: Vector2i) -> int:
+	return abs(grid_pos1.x - grid_pos2.x) + abs(grid_pos1.y - grid_pos2.y)
+
+# 计算两个网格坐标之间的欧几里得距离
+static func grid_distance_euclidean(grid_pos1: Vector2i, grid_pos2: Vector2i) -> float:
+	var diff = grid_pos1 - grid_pos2
+	return sqrt(diff.x * diff.x + diff.y * diff.y)
+
+# 获取指定网格坐标周围的邻居网格（4方向）
+static func get_grid_neighbors_4(grid_pos: Vector2i) -> Array[Vector2i]:
+	return [
+		Vector2i(grid_pos.x, grid_pos.y - 1),  # 上
+		Vector2i(grid_pos.x + 1, grid_pos.y),  # 右
+		Vector2i(grid_pos.x, grid_pos.y + 1),  # 下
+		Vector2i(grid_pos.x - 1, grid_pos.y)   # 左
+	]
+
+# 获取指定网格坐标周围的邻居网格（8方向）
+static func get_grid_neighbors_8(grid_pos: Vector2i) -> Array[Vector2i]:
+	var neighbors: Array[Vector2i] = []
+	for x in range(-1, 2):
+		for y in range(-1, 2):
+			if x == 0 and y == 0:
+				continue
+			neighbors.append(Vector2i(grid_pos.x + x, grid_pos.y + y))
+	return neighbors
+
+# ============================================================================
+# 区域和边界检查
+# ============================================================================
+
+# 检查网格坐标是否在指定矩形区域内
+static func is_grid_in_bounds(grid_pos: Vector2i, min_grid: Vector2i, max_grid: Vector2i) -> bool:
+	return (grid_pos.x >= min_grid.x and grid_pos.x <= max_grid.x and
+			grid_pos.y >= min_grid.y and grid_pos.y <= max_grid.y)
+
+# 获取矩形区域内的所有网格坐标
+static func get_grids_in_rect(min_grid: Vector2i, max_grid: Vector2i) -> Array[Vector2i]:
+	var grids: Array[Vector2i] = []
+	for x in range(min_grid.x, max_grid.x + 1):
+		for y in range(min_grid.y, max_grid.y + 1):
+			grids.append(Vector2i(x, y))
+	return grids
+
+# ============================================================================
+# 地图尺寸规范化
+# ============================================================================
+
+# 将像素尺寸规范化为网格尺寸的倍数
+static func normalize_size_to_grid(pixel_size: Vector2i) -> Vector2i:
+	return Vector2i(
+		int(ceil(float(pixel_size.x) / GRID_SIZE)) * GRID_SIZE,
+		int(ceil(float(pixel_size.y) / GRID_SIZE)) * GRID_SIZE
+	)
+
+# 计算指定像素尺寸需要多少个网格单元
+static func get_grid_count(pixel_size: Vector2i) -> Vector2i:
+	return Vector2i(
+		int(ceil(float(pixel_size.x) / GRID_SIZE)),
+		int(ceil(float(pixel_size.y) / GRID_SIZE))
+	)
+
+# ============================================================================
+# 调试和可视化辅助
+# ============================================================================
+
+# 获取网格的边界矩形（用于调试绘制）
+static func get_grid_rect(grid_pos: Vector2i) -> Rect2:
+	var world_pos = grid_to_world(grid_pos)
+	return Rect2(world_pos, Vector2(GRID_SIZE, GRID_SIZE))
+
+# 打印网格信息（调试用）
+static func print_grid_info(world_pos: Vector2) -> void:
+	var grid_pos = world_to_grid(world_pos)
+	var snapped_pos = snap_to_grid(world_pos)
+	var center_pos = grid_to_world_center(grid_pos)
+	
+	print("世界坐标: ", world_pos)
+	print("网格坐标: ", grid_pos)
+	print("吸附位置: ", snapped_pos)
+	print("网格中心: ", center_pos)

_Core/systems/GridSystem.gd.uid

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+uid://dceqpffgti4jb