BFS and DFS AI Path Search - Part 3

class Maze continues…

    def solve(self):
        """Finds a solution to maze, if one exists."""

        # Keep track of number of states explored
        self.num_explored = 0

        # Initialize frontier to just the starting position
        start = Node(state=self.start, parent=None, action=None)
        frontier = StackFrontier()
        frontier.add(start)

        # Initialize an empty explored set
        self.explored = set()

        # Keep looping until solution found
        while True:

            # If nothing left in frontier, then no path
            if frontier.empty():
                raise Exception("no solution")

            # Choose a node from the frontier
            node = frontier.remove()
            self.num_explored += 1

            # If node is the goal, then we have a solution
            if node.state == self.goal:
                actions = []
                cells = []
                while node.parent is not None:
                    actions.append(node.action)
                    cells.append(node.state)
                    node = node.parent
                actions.reverse()
                cells.reverse()
                self.solution = (actions, cells)
                return

            # Mark node as explored
            self.explored.add(node.state)

            # Add neighbors to frontier
            for action, state in self.neighbors(node.state):
                if not frontier.contains_state(state) and state not in self.explored:
                    child = Node(state=state, parent=node, action=action)
                    frontier.add(child)


    def output_image(self, filename, show_solution=True, show_explored=False):
        from PIL import Image, ImageDraw
        cell_size = 50
        cell_border = 2

        # Create a blank canvas
        img = Image.new(
            "RGBA",
            (self.width * cell_size, self.height * cell_size),
            "black"
        )
        draw = ImageDraw.Draw(img)

        solution = self.solution[1] if self.solution is not None else None
        for i, row in enumerate(self.walls):
            for j, col in enumerate(row):

                # Walls
                if col:
                    fill = (40, 40, 40)

                # Start
                elif (i, j) == self.start:
                    fill = (255, 0, 0)

                # Goal
                elif (i, j) == self.goal:
                    fill = (0, 171, 28)

                # Solution
                elif solution is not None and show_solution and (i, j) in solution:
                    fill = (220, 235, 113)

                # Explored
                elif solution is not None and show_explored and (i, j) in self.explored:
                    fill = (212, 97, 85)

                # Empty cell
                else:
                    fill = (237, 240, 252)

                # Draw cell
                draw.rectangle(
                    ([(j * cell_size + cell_border, i * cell_size + cell_border),
                      ((j + 1) * cell_size - cell_border, (i + 1) * cell_size - cell_border)]),
                    fill=fill
                )

        img.save(filename)