from typing import Dict, Any, Union
from csle_base.json_serializable import JSONSerializable
[docs]class ClusterNode(JSONSerializable):
"""
A DTO Class representing a node in a CSLE cluster
"""
def __init__(self, ip: str, leader: bool, cpus: int, gpus: int, RAM: int):
"""
Initializes the DTO
:param ip: the ip of the node
:param leader: boolean indicating whether the node is the leader node or not
:param cpus: the number of CPU cores of the node
:param gpus: the number of GPUs of the node
:param RAM: the amount of RAM of the node (GB)
"""
self.ip = ip
self.leader = leader
self.cpus = cpus
self.gpus = gpus
self.RAM = RAM
[docs] def to_dict(self) -> Dict[str, Union[str, bool, int]]:
"""
Converts the object to a dict representation
:return: a dict representation of the object
"""
d: Dict[str, Union[str, bool, int]] = {}
d["ip"] = self.ip
d["leader"] = self.leader
d["cpus"] = self.cpus
d["gpus"] = self.gpus
d["RAM"] = self.RAM
return d
[docs] @staticmethod
def from_dict(d: Dict[str, Any]) -> "ClusterNode":
"""
Convert a dict representation to a DTO representation
:return: a dto representation of the object
"""
dto = ClusterNode(ip=d["ip"], leader=d["leader"], cpus=d["cpus"], gpus=d["gpus"], RAM=d["RAM"])
return dto
def __str__(self) -> str:
"""
:return: a string representation of the credential
"""
return f"ip: {self.ip}, leader: {self.leader}, cpus: {self.cpus}, gpus: {self.gpus}, RAM: {self.RAM}"
[docs] @staticmethod
def from_json_file(json_file_path: str) -> "ClusterNode":
"""
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 ClusterNode.from_dict(json.loads(json_str))
[docs] def copy(self) -> "ClusterNode":
"""
:return: a copy of the DTO
"""
return ClusterNode.from_dict(self.to_dict())
[docs] @staticmethod
def schema() -> "ClusterNode":
"""
:return: get the schema of the DTO
"""
return ClusterNode(ip="", leader=False, cpus=0, gpus=0, RAM=0)