from utilities import movement,check_moves from DataModels.House import House from DataModels.Container import Container from math import sqrt INF = float('Inf') def CalculateDistance(gc, goal): result = sqrt(pow(goal[0]-gc[0],2)+pow(goal[1]-gc[1],2)) return result def BestFS(grid, available_movement, gc_moveset, houses_list, depth=0): possible_goals = [] a = gc_moveset[-1][0] b = gc_moveset[-1][1] possible_goals.append([a+1,b]) possible_goals.append([a-1,b]) possible_goals.append([a,b+1]) possible_goals.append([a,b-1]) house_in_area = False for location in possible_goals: if location[0]>=0 and location[1]>=0: try: cell = grid[location[0]][location[1]] if(type(cell) == House and cell.container.is_full and cell.unvisited): cell.unvisited = False house_in_area = True break except: continue if(house_in_area): xy = gc_moveset[-1] gc_moveset.append("pick_garbage") return (xy, gc_moveset) if len(available_movement) == 0 or depth>30: return x,y = gc_moveset[-1] print([x,y]) #calculate distance to the nearest object min_distance_goal = ['-',INF] for h in houses_list: distance = CalculateDistance([a,b],h[1]) if(min_distance_goal[1] > distance): min_distance_goal = [h[1], distance] print(min_distance_goal) #set preffered directions based on the closest object preffered_directions = [] if(min_distance_goal[1] == 1): preffered_directions.append("pick_garbage") if(min_distance_goal[0][0] >= a): preffered_directions.append("right") if(min_distance_goal[0][0] <= a): preffered_directions.append("left") if(min_distance_goal[0][1] >= b): preffered_directions.append("down") if(min_distance_goal[0][1] <= b): preffered_directions.append("up") print(preffered_directions) print("------------------------------") for direction in available_movement: x_next, y_next = movement(grid,x,y)[0][direction] available_movement_next = check_moves(grid, x_next,y_next,direction) gc_moveset_next = gc_moveset.copy() gc_moveset_next.append([x_next,y_next]) result = BestFS(grid, available_movement_next, gc_moveset_next, houses_list, depth+1) if result!= None: return result