sinergym.utils.logger.LoggerStorage

class sinergym.utils.logger.LoggerStorage

Logger storage for agent interaction with environment. Save all interactions in list or list of lists as attributes.

observations

List to store observations.

Type:

List[List[float]]

normalized_observations

List to store normalized observations (if exists).

Type:

List[List[float]]

actions

List to store agent actions.

Type:

List[Union[int, np.ndarray, List[float]]]

rewards

List to store rewards.

Type:

List[float]

infos

List to store info data.

Type:

List[Dict[str, Any]]

terminateds

List to store terminated flags.

Type:

List[bool]

truncateds

List to store truncated flags.

Type:

List[bool]

__init__()

Logger constructor.

Methods

__init__()	Logger constructor.
log_info(info)	Log info data.
log_interaction(obs, action, reward, info, ...)	Log interaction data.
log_norm_obs(norm_obs)	Log normalized observation data.
log_obs(obs)	Log observation data.
reset_data()	Reset logger interactions data

log_info(info: Dict[str, Any]) → None

Log info data.

Parameters:

info (Dict[str, Any]) – Info data.

log_interaction(obs: List[float], action: int | ndarray | List[float], reward: float, info: Dict[str, Any], terminated: bool, truncated: bool, custom_metrics: List[Any] | None = None) → None

Log interaction data.

Parameters:

• obs (List[float]) – Observation data.

• action (Union[int, np.ndarray, List[float]]) – Action data.

• reward (float) – Reward data.

• info (Dict[str, Any]) – Info data.

• terminated (bool) – Termination flag.

• truncated (bool) – Truncation flag.

• custom_metrics (List[Any]) – Custom metric data. Default is None.

log_norm_obs(norm_obs: List[float]) → None

Log normalized observation data.

Parameters:

norm_obs (List[float]) – Normalized observation data.

log_obs(obs: List[float]) → None

Log observation data.

Parameters:

obs (List[float]) – Observation data.

reset_data() → None

Reset logger interactions data