from typing import Dict, Any
import numpy as np
from numpy.typing import NDArray
from csle_base.json_serializable import JSONSerializable
[docs]class ObservationFunctionConfig(JSONSerializable):
"""
DTO representing the configuration of the observation function of a simulation
"""
def __init__(self, observation_tensor: NDArray[Any], component_observation_tensors: Dict[str, NDArray[Any]]):
"""
Initializes the DTO
:param observation_tensor: the observation tensor
"""
self.observation_tensor = observation_tensor
self.component_observation_tensors = component_observation_tensors
[docs] @staticmethod
def from_dict(d: Dict[str, Any]) -> "ObservationFunctionConfig":
"""
Converts a dict representation to an instance
:param d: the dict to convert
:return: the created instance
"""
obj = ObservationFunctionConfig(observation_tensor=d["observation_tensor"],
component_observation_tensors=d["component_observation_tensors"])
return obj
[docs] def to_dict(self) -> Dict[str, Any]:
"""
Converts the object to a dict representation
:return: a dict representation of the object
"""
d: Dict[str, Any] = {}
tensor = list(self.observation_tensor)
for i in range(len(tensor)):
if isinstance(tensor[i], np.ndarray):
tensor[i] = tensor[i].tolist()
d["observation_tensor"] = list(tensor)
d["component_observation_tensors"] = self.component_observation_tensors
for k, v in d["component_observation_tensors"].items():
if isinstance(v, np.ndarray):
d["component_observation_tensors"][k] = v.tolist()
for i in range(len(d["component_observation_tensors"][k])):
if isinstance(d["component_observation_tensors"][k][i], np.ndarray):
d["component_observation_tensors"][k][i] = d["component_observation_tensors"][k][i].tolist()
return d
def __str__(self) -> str:
"""
:return: a string representation of the object
"""
return f"observation tensor: {self.observation_tensor}, " \
f"component_observation_tensors: {self.component_observation_tensors}"
[docs] @staticmethod
def from_json_file(json_file_path: str) -> "ObservationFunctionConfig":
"""
Reads a json file and converts it to a DTO
:param json_file_path: the json file path
:return: the converted DTO
"""
import io
import json
with io.open(json_file_path, 'r') as f:
json_str = f.read()
return ObservationFunctionConfig.from_dict(json.loads(json_str))