Merge branch 'sunwoo1524-main'

modules/Maze.py

@@ -0,0 +1,22 @@
+import os
+
+from module_interface import ModuleInterface
+from mipac.models import Note
+
+
+class MyModule(ModuleInterface):
+    def __init__(self):
+        super().__init__()
+        self.name = "Maze"
+        self.regex_pattern = r".*미로|Maze|maze.*"
+
+        print("[Maze] Maze Module loaded.")
+
+    async def execute_module(self, ctx: Note):
+        print(f"[Maze] {self.name} 실행: {ctx.content}")
+
+        await self.manager.require("MazeGenerator").get_func("generate_maze")()
+        
+        file = await self.manager.bot.client.drive.file.action.upload_file(file=os.path.dirname(os.path.abspath(__file__)) + "/maze/maze.png")
+
+        await ctx.api.action.reply("미로를 생성했어요!", files=[file])

modules/MazeGenerator.py

@@ -0,0 +1,135 @@
+import cv2
+import numpy
+import random
+import os
+
+from module_interface import ModuleInterface
+
+
+class MazeGenerator(ModuleInterface):
+    def __init__(self):
+        super().__init__()
+
+        self.name = "MazeGenerator"
+        self.funcs["generate_maze"] = self.generateMaze
+
+        print("[MazeGenerator] MazeGenerator Module loaded.")
+
+    # generate maze image
+    async def generateMaze(self):
+        width = 3280
+        height = 3280
+        img = numpy.zeros((width, height, 3), dtype = "uint8")
+
+        LEFT = 1
+        RIGHT = 2
+        UP = 3
+        DOWN = 4
+
+        maze_x = 50
+        maze_y = 50
+        maze_width = width - maze_x * 2
+        maze_height = height - maze_y * 2
+        maze_col = 30
+        maze_row = 30
+
+        wall_size = 8
+
+        cell_x = 0
+        cell_y = 0
+        
+        cell_stack = [[0, 0]] # [[x, y]]
+        cells_visited = [[0, 0]] # [[x, y]]
+
+        # fill image
+        cv2.rectangle(img, (0, 0), (width, height), (random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)), -1)
+
+        # draw border
+        border_color = (0, 0, 0)
+        cv2.rectangle(img, (int(maze_x - wall_size / 2), int(maze_y - wall_size / 2)), (int(width - maze_x + wall_size / 2), int(height - maze_y + wall_size / 2)), border_color, -1)
+
+        ## draw maze ##
+        size = int(maze_width / maze_col)
+
+        cv2.rectangle(
+            img,
+            (cell_x * size + wall_size + maze_x, cell_y * size + wall_size + maze_y),
+            (cell_x * size + size - wall_size + maze_x, cell_y * size + size - wall_size + maze_y),
+            (255, 255, 255),
+            -1
+        )
+
+        while len(cell_stack) > 0:
+            # log pos
+            if not [cell_x, cell_y] in cells_visited:
+                cells_visited.append([cell_x, cell_y])
+
+            # get around_cells
+            around_cells = []
+            around_cells.append([cell_x + 1, cell_y, LEFT])
+            around_cells.append([cell_x - 1, cell_y, RIGHT])
+            around_cells.append([cell_x, cell_y - 1, UP])
+            around_cells.append([cell_x, cell_y + 1, DOWN])
+
+            temp = around_cells.copy()
+
+            for around_cell in temp:
+                if [around_cell[0], around_cell[1]] in cells_visited or around_cell[0] < 0 or around_cell[1] < 0 or around_cell[0] >= maze_col or around_cell[1] >= maze_row:
+                    around_cells.pop(around_cells.index(around_cell))
+
+            if len(around_cells) > 0:
+                # draw cell
+                next_pos = random.choice(around_cells)
+                cell_stack.append([next_pos[0], next_pos[1]])
+                
+                cv2.rectangle(
+                    img,
+                    (next_pos[0] * size + wall_size + maze_x, next_pos[1] * size + wall_size + maze_y),
+                    (next_pos[0] * size + size - wall_size + maze_x, next_pos[1] * size + size - wall_size + maze_y),
+                    (255, 255, 255),
+                    -1
+                )
+
+                wall_x = next_pos[0] * size
+                wall_y = next_pos[1] * size
+
+                if next_pos[2] == LEFT:
+                    wall_x -= size / 2
+                elif next_pos[2] == RIGHT:
+                    wall_x += size / 2
+                elif next_pos[2] == UP:
+                    wall_y += size / 2
+                elif next_pos[2] == DOWN:
+                    wall_y -= size / 2
+                
+                cv2.rectangle(
+                    img,
+                    (int(wall_x + wall_size + maze_x), int(wall_y + wall_size + maze_y)),
+                    (int(wall_x + size - wall_size + maze_x), int(wall_y + size - wall_size + maze_y)),
+                    (255, 255, 255),
+                    -1
+                )
+
+                cell_x = next_pos[0]
+                cell_y = next_pos[1]
+                cell_stack.append([cell_x, cell_y])
+            else:
+                if cell_x == 0 and cell_y == 0:
+                    break
+
+                # go back
+                cell_x = cell_stack[-1][0]
+                cell_y = cell_stack[-1][1]
+                cell_stack.pop()
+        ##
+
+        # draw start point
+        cv2.circle(img, (int(size - size / 2 + maze_x), int(size - size / 2 + maze_y)), 15, (0, 0, 0), -1)
+
+        # draw goal point
+        cv2.circle(img, (int(maze_width - size / 2 + maze_x), int(maze_height - size / 2 + maze_y)), 15, (22, 183, 65), -1)
+
+        # download image
+        cv2.imwrite(os.path.dirname(os.path.abspath(__file__)) + "/maze/maze.png", img)
+
+        print("[MazeGenerator] Maze was generated")

requirements.txt

@@ -4,3 +4,5 @@ mipac~=0.5.0
 pyfiglet~=0.8.post1
 python-dotenv~=1.0.0
 pupdb~=0.1.4
+opencv-python==4.8.1.78
+numpy==1.26.0