[Question] how to get temperature of environment after env.step()

[glolichen]

After initializing the environment and calling env.reset(), how to access data on the current environment, such as outside temperature and inside temperature? I tried to use env.var_handlers but that stays the same throughout the loop. Thanks.

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[kad99kev]

If you are using CleanRL, one trick that worked for me is to

obs_vars = envs.envs[0].get_wrapper_attr("observation_variables") # Before you start training

# In the training loop
next_obs, reward, terminated, truncated, infos = envs.step(
                action.cpu().numpy()
            )
outdoor_temp = observation[self.obs_variables.index("outdoor_temperature")]
indoor_temp = observation[self.obs_variables.index("air_temperature")]

[AlejandroCN7]

Hi @glolichen!

That is correct! Thank you @kad99kev.

Indeed, in the environment, you have both the variables that make up your observation (attribute observation_variables) and the observation space, with which both the step and reset methods return an array that constitutes the observation (variables obs or next_obs, as you prefer to call it). The values of this numpy array come in the same order as determined in the observation variables. If you want, you can create a dictionary with the observation to access the data more easily as follows:

obs_dict = dict(zip(self.env.get_wrapper_attr('observation_variables'), obs))
print(obs_dict['outdoor_temperature'])
print(obs_dict['air_temperature'])
# Or observation variable you want to see

I hope this is helpful to you, and thank you very much for using Sinergym.

Update: You can also access to environment attribute called last_obs. This attribute has the obs from last reset or step call with the dictionary made already. For example:

env.reset()
print(env.get_wrapper_attr('last_obs'))