2026-rff_mp/smirnovad/lab2/docs/data/maze_solver.py
2026-05-17 16:50:47 +03:00

62 lines
1.7 KiB
Python

import time
from dataclasses import dataclass
from maze_model import Maze, Cell
from strategies import PathFindingStrategy
from observer import Observer
@dataclass
class SearchStats:
time_ms: float
visited_cells: int
path_length: int
path: list[Cell]
class MazeSolver:
def __init__(self, maze: Maze, strategy: PathFindingStrategy | None = None):
self.maze = maze
self.strategy = strategy
self._observers: list[Observer] = []
def set_strategy(self, strategy: PathFindingStrategy) -> None:
self.strategy = strategy
def add_observer(self, observer: Observer) -> None:
self._observers.append(observer)
def remove_observer(self, observer: Observer) -> None:
self._observers.remove(observer)
def _notify(self, event: dict) -> None:
for obs in self._observers:
obs.update(event)
def solve(self) -> SearchStats:
if self.strategy is None:
raise RuntimeError("Стратегия не задана. Используйте set_strategy().")
self._notify({"type": "maze_loaded", "maze": self.maze})
t_start = time.perf_counter()
path = self.strategy.find_path(self.maze, self.maze.start, self.maze.exit)
t_end = time.perf_counter()
time_ms = (t_end - t_start) * 1000
visited = getattr(self.strategy, "visited_count", 0)
stats = SearchStats(
time_ms=time_ms,
visited_cells=visited,
path_length=len(path),
path=path,
)
if path:
self._notify({"type": "path_found", "maze": self.maze, "path": path})
else:
self._notify({"type": "no_path"})
return stats