2026-rff_mp/YanyaevAA/task2/task_2.py

from abc import ABC, abstractmethod
from collections import deque
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import heapq
import time
import os
import csv
#Этап 1
class Cell:
    def __init__(self, x, y, isWall=False, isStart=False, isExit=False):
        self.x = x
        self.y = y
        self.isWall = isWall
        self.isStart = isStart
        self.isExit = isExit

    def isPassable(self):
        return not self.isWall

class Maze:
    def __init__(self, cells, width, height, start, exit):
        self.width = width
        self.height = height
        self.cells =cells
        self.start = start
        self.exit = exit

    def getCell(self, x, y):
        if 0 <= x< self.width and 0 <=y< self.height:
            return self.cells[y][x]
        return None

    def getNeighbors(self, cell: Cell):
        neighbors = []
        directions = [(0, -1), (0, 1), (-1, 0), (1, 0)]

        for dir_x, dir_y in directions:
            neigh_x = cell.x+dir_x
            neigh_y = cell.y+dir_y
            neighbor = self.getCell(neigh_x, neigh_y)
            if neighbor and neighbor.isPassable():
                neighbors.append(neighbor)
        return neighbors

#Этап 2
class MazeBuilder(ABC):
    @abstractmethod
    def buildFromFile(self, filename):
        pass

class TextFileMazeBuilder(MazeBuilder):
    def buildFromFile(self, filename):
        with open(filename, 'r') as f:
            lines = [line.rstrip('\n') for line in f]
        height = len(lines)
        width = max(len(line) for line in lines)

        grid=[]
        start_cell=None
        exit_cell=None
        for y in range(height):
            row=[]
            for x in range(width):
                char=lines[y][x]

                isWall = (char == '#')
                isStart = (char == 'S')
                isExit = (char == 'E')

                cell=Cell(x, y, isWall, isStart, isExit)

                if isStart:
                    start_cell =cell
                if isExit:
                    exit_cell =cell
                row.append(cell)
            grid.append(row)
        return Maze(grid, width, height, start_cell, exit_cell)

#Этап 3
class PathFindingStrategy(ABC):
    @abstractmethod
    def findPath(self,maze, start, exit):
        pass

class BFS(PathFindingStrategy):
    def findPath(self, maze, start, exit):
        queue = deque([start])
        traveled_path={start: None}

        while queue:
            current = queue.popleft()
            if current==exit:
                path=[]
                while current is not None:
                    path.append(current)
                    current = traveled_path[current]
                return path[::-1], len(traveled_path)
            for neighbor in maze.getNeighbors(current):
                if neighbor not in traveled_path:
                    traveled_path[neighbor] = current
                    queue.append(neighbor)
        return [], len(traveled_path)

class DFS(PathFindingStrategy):
    def findPath(self, maze, start, exit):
        stack = [start]
        traveled_path={start: None}

        while stack:
            current = stack.pop()
            if current == exit:
                path = []
                while current is not None:
                    path.append(current)
                    current = traveled_path[current]
                return path[::-1], len(traveled_path)
            for neighbor in maze.getNeighbors(current):
                if neighbor not in traveled_path:
                    traveled_path[neighbor] = current
                    stack.append(neighbor)
        return [], len(traveled_path)
class AStar(PathFindingStrategy):
    def findPath(self, maze, start, exit):
        count = 0
        open_set = [(0, count, start)]
        traveled_path = {start: None}
        g_score = {start: 0}
        while open_set:
            _,_,current = heapq.heappop(open_set)
            if current == exit:
                path = []
                while current is not None:
                    path.append(current)
                    current = traveled_path[current]
                return path[::-1], len(traveled_path)
            for neighbor in maze.getNeighbors(current):
                g_score_new = g_score[current]+1
                if neighbor not in g_score or g_score_new < g_score[neighbor]:
                    traveled_path[neighbor] = current
                    g_score[neighbor] = g_score_new
                    f_score = g_score_new + abs(neighbor.x - exit.x) + abs(neighbor.y - exit.y)
                    count += 1
                    heapq.heappush(open_set, (f_score, count, neighbor))
        return [],len(traveled_path)

#Этап 4
class SearchStats:
    def __init__(self, time, visited_cells, path_length):
        self.time = time
        self.visited_cells = visited_cells
        self.path_length = path_length

class MazeSolver:
    def __init__(self, maze, strategy):
        self.maze = maze
        self.strategy = strategy
        self.observers = []
    def addObserver(self, observer):
        self.observers.append(observer)
    def setStrategy(self, strategy):
        self.strategy = strategy
    def solve(self):
        start_cell = self.maze.start
        exit_cell = self.maze.exit

        start_time = time.perf_counter()
        path, visited_cells = self.strategy.findPath(self.maze, start_cell, exit_cell)
        end_time = time.perf_counter()

        time_ms = (end_time - start_time) * 1000
        path_length = len(path)
        stats=SearchStats(time_ms, visited_cells, path_length)
        event = Event("path_found", data=stats)
        for observer in self.observers:
            observer.update(event)

        return stats

#Этап 5
#5.1
class Event:
    def __init__(self, event_type, data=None):
        self.event_type = event_type
        self.data = data

class Observer(ABC):
    @abstractmethod
    def update(self, event):
        pass

class ConsoleView(Observer):
    def update(self, event):
        if event.event_type == "path_found":
            stats=event.data
            print("Путь найден:")
            print("Время выполнения:", stats.time)
            print("Количество посещённых клеток:", stats.visited_cells)
            print("Длина найденного пути:", stats.path_length)
        if event.event_type == "move":
            x, y = event.data
            print(f"Игрок переместился в ячейку: {x}, {y}")
        if event.event_type == "maze_loaded":
            print("Загружен новый лабиринт")

    def render(self, maze, path):
        for y in range(maze.height):
            row_str=""
            for x in range(maze.width):
                cell=maze.getCell(x, y)
                if cell == maze.start:
                    row_str += "S"
                elif cell == maze.exit:
                    row_str += "E"
                elif cell in path:
                    row_str += "·"
                elif cell.isWall:
                    row_str += "#"
                else:
                    row_str += " "
            print(row_str)

#Этап 6
mazes = ["10x10.txt","50x50.txt","100x100.txt","empty.txt","without_exit.txt"]
results =[["лабиринт",
            "стратегия",
            "время_мс",
            "посещено_клеток",
            "длина_пути"]]
strategies = {
    "BFS": BFS(),
    "DFS": DFS(),
    "AStar": AStar()
}
builder = TextFileMazeBuilder()
n=10
directory = os.path.join("docs", "data")

for maze_name in mazes:
    print(maze_name)
    file_name=os.path.join(directory, maze_name)
    maze = builder.buildFromFile(file_name)
    viewer=ConsoleView()
    for strategy_name, strategy in strategies.items():
        total_time = 0.0
        total_visited = 0
        total_path_length = 0

        solver = MazeSolver(maze, strategy)

        for _ in range(n):
            stats = solver.solve()
            total_time += stats.time
            total_visited += stats.visited_cells
            total_path_length += stats.path_length
        avg_time = total_time/n
        avg_visited = total_visited/n
        avg_path_length = total_path_length/n
        print(f"{maze_name} стратегия: {strategy_name}  время_мс: {avg_time} посещено_клеток: {avg_visited} длина_пути: {avg_path_length}")
        results.append([maze_name, strategy_name, avg_time, avg_visited, avg_path_length])
        path, _ = strategy.findPath(maze, maze.start, maze.exit)
        viewer.render(maze,  path)
csv_filename = os.path.join(directory, "maze_results.csv")
with open(csv_filename, "w", newline="", encoding="utf-8-sig") as f:
    writer = csv.writer(f)
    writer.writerows(results)

#Графики
df = pd.read_csv(csv_filename)
fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(16, 6))

sns.barplot(data=df, x='лабиринт', y='время_мс', hue='стратегия', ax=ax1)
ax1.set_title('Время выполнения алгоритмов')
ax1.set_xlabel('Лабиринты')
ax1.set_ylabel('Время (мс)')
ax1.grid(axis='y', linestyle='--', alpha=0.7)
ax1.legend()

sns.barplot(data=df, x='лабиринт', y='посещено_клеток', hue='стратегия', ax=ax2)
ax2.set_title('Количество посещенных клеток')
ax2.set_xlabel('Лабиринты')
ax2.set_ylabel('Количество клеток')
ax2.grid(axis='y', linestyle='--', alpha=0.7)
ax2.legend()
plt.tight_layout()

sns.barplot(data=df, x='лабиринт', y='длина_пути', hue='стратегия', ax=ax3)
ax3.set_title('Длина пути')
ax3.set_xlabel('Лабиринты')
ax3.set_ylabel('Количество клеток')
ax3.grid(axis='y', linestyle='--', alpha=0.7)
ax3.legend()
plt.tight_layout()

img = os.path.join(directory, "maze_graphics.png")
plt.savefig(img, dpi=300)
plt.show()