111 lines
4.1 KiB
Python
111 lines
4.1 KiB
Python
from typing import TYPE_CHECKING, Optional
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from src.classes.tile import Tile, TileType
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from src.classes.sect_region import SectRegion
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if TYPE_CHECKING:
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from src.classes.region import Region
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class Map():
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"""
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通过dict记录position 到 tile。
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"""
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def __init__(self, width: int, height: int):
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self.tiles = {}
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self.width = width
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self.height = height
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# 加载所有region数据到Map中
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self._load_regions()
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def _load_regions(self):
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"""从配置文件加载所有区域数据到Map实例中"""
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# 延迟导入避免循环导入
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from src.classes.region import regions_by_id, regions_by_name
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from src.classes.region import normal_regions_by_id, normal_regions_by_name
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from src.classes.region import cultivate_regions_by_id, cultivate_regions_by_name
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from src.classes.region import city_regions_by_id, city_regions_by_name
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self.regions = regions_by_id
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self.region_names = regions_by_name
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self.normal_regions = normal_regions_by_id
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self.normal_region_names = normal_regions_by_name
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self.cultivate_regions = cultivate_regions_by_id
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self.cultivate_region_names = cultivate_regions_by_name
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self.city_regions = city_regions_by_id
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self.city_region_names = city_regions_by_name
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# 宗门总部区域集合（由地图生成阶段注入）
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# 若外部未注入 SectRegion，这里仍可通过 regions 过滤得到
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self.sect_regions = {rid: r for rid, r in self.regions.items() if isinstance(r, SectRegion)}
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def is_in_bounds(self, x: int, y: int) -> bool:
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"""
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判断坐标是否在地图边界内。
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"""
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return 0 <= x < self.width and 0 <= y < self.height
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def create_tile(self, x: int, y: int, tile_type: TileType):
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self.tiles[(x, y)] = Tile(tile_type, x, y, region=None)
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def get_tile(self, x: int, y: int) -> Tile:
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return self.tiles[(x, y)]
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def get_center_locs(self, locs: list[tuple[int, int]]) -> tuple[int, int]:
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"""
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获取locs的中心位置。
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如果几何中心恰好在位置列表中，返回几何中心；
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否则返回距离几何中心最近的实际位置。
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"""
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if not locs:
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return (0, 0)
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# 分别计算x和y坐标的平均值
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avg_x = sum(loc[0] for loc in locs) // len(locs)
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avg_y = sum(loc[1] for loc in locs) // len(locs)
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center = (avg_x, avg_y)
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# 如果几何中心恰好在位置列表中，直接返回
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if center in locs:
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return center
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# 否则找到距离几何中心最近的实际位置
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def distance_squared(loc: tuple[int, int]) -> int:
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"""计算到中心点的距离平方（避免开方运算）"""
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return (loc[0] - avg_x) ** 2 + (loc[1] - avg_y) ** 2
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return min(locs, key=distance_squared)
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def get_region(self, x: int, y: int) -> Optional['Region']:
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"""
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获取一个region。
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"""
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return self.tiles[(x, y)].region
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def get_info(self) -> str:
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"""返回地图的简要信息，按类型分组罗列区域并说明用途。"""
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parts: list[str] = []
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# 修炼区域
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parts.append("修炼区域（可以修炼以增进修为）：")
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parts.extend([f"- {str(region)}" for region in self.cultivate_regions.values()])
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parts.append("")
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# 普通区域
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parts.append("普通区域（可以狩猎或采集）：")
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parts.extend([f"- {str(region)}" for region in self.normal_regions.values()])
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parts.append("")
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# 城市区域
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parts.append("城市区域（可以交易）：")
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parts.extend([f"- {str(region)}" for region in self.city_regions.values()])
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parts.append("")
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# 宗门总部区域
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if getattr(self, "sect_regions", None):
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parts.append("宗门总部：")
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parts.extend([f"- {region.name} - {region.desc}" for region in self.sect_regions.values()])
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return "\n".join(parts)
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