103 lines
3.4 KiB
Python
103 lines
3.4 KiB
Python
"""
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maze_solver/solver.py - оркестратор MazeSolver + паттерн Observer.
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MazeSolver знает лабиринт и текущую стратегию (Strategy). Перед поиском
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он уведомляет наблюдателей (Observer) о старте, после поиска - о результате.
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"""
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import time
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from abc import ABC, abstractmethod
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# ---------- Observer ----------
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class Observer(ABC):
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"""Интерфейс наблюдателя."""
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@abstractmethod
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def update(self, event):
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"""event - dict с ключом 'type' и сопровождающими данными."""
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class ConsoleView(Observer):
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"""Простой текстовый наблюдатель."""
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def __init__(self, verbose=True):
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self.verbose = verbose
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def update(self, event):
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if not self.verbose:
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return
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t = event["type"]
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if t == "maze_loaded":
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m = event["maze"]
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print(f"[ConsoleView] лабиринт {m.width}x{m.height} загружен")
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elif t == "search_start":
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print(f"[ConsoleView] старт поиска: {event['strategy']}")
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elif t == "search_end":
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stats = event["stats"]
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print(f"[ConsoleView] поиск окончен: путь={stats['path_length']}, "
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f"посещено={stats['visited']}, время={stats['elapsed_ms']:.3f} мс")
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elif t == "move":
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print(f"[ConsoleView] игрок -> ({event['x']},{event['y']})")
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elif t == "path_found":
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print("[ConsoleView] путь найден")
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elif t == "no_path":
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print("[ConsoleView] пути нет")
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# ---------- MazeSolver ----------
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class SearchStats(dict):
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"""Простой dict-подобный контейнер статистики поиска."""
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pass
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class MazeSolver:
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def __init__(self, maze, strategy=None):
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self.maze = maze
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self.strategy = strategy
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self._observers = []
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def set_strategy(self, strategy):
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self.strategy = strategy
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def attach(self, observer):
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self._observers.append(observer)
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def detach(self, observer):
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self._observers.remove(observer)
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def _notify(self, event):
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for obs in self._observers:
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obs.update(event)
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def solve(self):
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if self.strategy is None:
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raise RuntimeError("Стратегия не задана")
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if self.maze.start is None or self.maze.exit_ is None:
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raise RuntimeError("В лабиринте нет старта или выхода")
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self._notify({"type": "search_start", "strategy": self.strategy.name})
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t0 = time.perf_counter()
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result = self.strategy.find_path(self.maze,
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self.maze.start,
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self.maze.exit_)
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elapsed = (time.perf_counter() - t0) * 1000.0
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path = result["path"]
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stats = SearchStats(
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strategy=self.strategy.name,
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elapsed_ms=elapsed,
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visited=result["visited"],
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path_length=len(path),
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path=path,
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)
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self._notify({"type": "search_end", "stats": stats})
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if path:
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self._notify({"type": "path_found"})
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else:
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self._notify({"type": "no_path"})
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return stats
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