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import gymnasium as gym
import numpy as np
import random
from utils import MiniGridShieldHandler, common_parser
from stable_baselines3.common.callbacks import BaseCallback, CheckpointCallback
from stable_baselines3.common.logger import Image
class MiniGridSbShieldingWrapper(gym.core.Wrapper):
def __init__(self,
env,
shield_handler : MiniGridShieldHandler,
create_shield_at_reset = False,
):
super().__init__(env)
self.shield_handler = shield_handler
self.create_shield_at_reset = create_shield_at_reset
shield = self.shield_handler.create_shield(env=self.env)
self.shield = shield
def create_action_mask(self):
try:
return self.shield[self.env.get_symbolic_state()]
except:
return [1.0] * 3 + [1.0] * 4
def reset(self, *, seed=None, options=None):
obs, infos = self.env.reset(seed=seed, options=options)
if self.create_shield_at_reset:
shield = self.shield_handler.create_shield(env=self.env)
self.shield = shield
return obs, infos
def step(self, action):
obs, rew, done, truncated, info = self.env.step(action)
return obs, rew, done, truncated, info
def parse_sb3_arguments():
parser = common_parser()
args = parser.parse_args()
return args
class ImageRecorderCallback(BaseCallback):
def __init__(self, verbose=0):
super().__init__(verbose)
def _on_training_start(self):
image = self.training_env.render(mode="rgb_array")
self.logger.record("trajectory/image", Image(image, "HWC"), exclude=("stdout", "log", "json", "csv"))
def _on_step(self):
return True
class InfoCallback(BaseCallback):
"""
Custom callback for plotting additional values in tensorboard.
"""
def __init__(self, verbose=0):
super().__init__(verbose)
self.sum_goal = 0
self.sum_lava = 0
self.sum_collisions = 0
def _on_step(self) -> bool:
infos = self.locals["infos"][0]
if infos["reached_goal"]:
self.sum_goal += 1
if infos["ran_into_lava"]:
self.sum_lava += 1
self.logger.record("info/sum_reached_goal", self.sum_goal)
self.logger.record("info/sum_ran_into_lava", self.sum_lava)
if "collision" in infos:
if infos["collision"]:
self.sum_collision += 1
self.logger.record("info/sum_collision", sum_collisions)
return True