from collections.abc import Mapping from typing import TYPE_CHECKING, Any, TypeVar from attrs import define as _attrs_define from attrs import field as _attrs_field from ..models.node_status import NodeStatus if TYPE_CHECKING: from ..models.machine_info import MachineInfo from ..models.node_metrics import NodeMetrics T = TypeVar("T", bound="Node") @_attrs_define class Node: """ Attributes: cluster_id (str): Identifier of the cluster commit (str): Commit of the orchestrator create_fails (int): Number of sandbox create fails create_successes (int): Number of sandbox create successes id (str): Identifier of the node machine_info (MachineInfo): metrics (NodeMetrics): Node metrics sandbox_count (int): Number of sandboxes running on the node sandbox_starting_count (int): Number of starting Sandboxes service_instance_id (str): Service instance identifier of the node status (NodeStatus): Status of the node. - draining: the node is bound to be shut down. It will not accept new sandboxes and will stop once all existing sandboxes are done. - standby: the node is not actively used, but it can return to ready and continue serving traffic. version (str): Version of the orchestrator """ cluster_id: str commit: str create_fails: int create_successes: int id: str machine_info: "MachineInfo" metrics: "NodeMetrics" sandbox_count: int sandbox_starting_count: int service_instance_id: str status: NodeStatus version: str additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict) def to_dict(self) -> dict[str, Any]: cluster_id = self.cluster_id commit = self.commit create_fails = self.create_fails create_successes = self.create_successes id = self.id machine_info = self.machine_info.to_dict() metrics = self.metrics.to_dict() sandbox_count = self.sandbox_count sandbox_starting_count = self.sandbox_starting_count service_instance_id = self.service_instance_id status = self.status.value version = self.version field_dict: dict[str, Any] = {} field_dict.update(self.additional_properties) field_dict.update( { "clusterID": cluster_id, "commit": commit, "createFails": create_fails, "createSuccesses": create_successes, "id": id, "machineInfo": machine_info, "metrics": metrics, "sandboxCount": sandbox_count, "sandboxStartingCount": sandbox_starting_count, "serviceInstanceID": service_instance_id, "status": status, "version": version, } ) return field_dict @classmethod def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T: from ..models.machine_info import MachineInfo from ..models.node_metrics import NodeMetrics d = dict(src_dict) cluster_id = d.pop("clusterID") commit = d.pop("commit") create_fails = d.pop("createFails") create_successes = d.pop("createSuccesses") id = d.pop("id") machine_info = MachineInfo.from_dict(d.pop("machineInfo")) metrics = NodeMetrics.from_dict(d.pop("metrics")) sandbox_count = d.pop("sandboxCount") sandbox_starting_count = d.pop("sandboxStartingCount") service_instance_id = d.pop("serviceInstanceID") status = NodeStatus(d.pop("status")) version = d.pop("version") node = cls( cluster_id=cluster_id, commit=commit, create_fails=create_fails, create_successes=create_successes, id=id, machine_info=machine_info, metrics=metrics, sandbox_count=sandbox_count, sandbox_starting_count=sandbox_starting_count, service_instance_id=service_instance_id, status=status, version=version, ) node.additional_properties = d return node @property def additional_keys(self) -> list[str]: return list(self.additional_properties.keys()) def __getitem__(self, key: str) -> Any: return self.additional_properties[key] def __setitem__(self, key: str, value: Any) -> None: self.additional_properties[key] = value def __delitem__(self, key: str) -> None: del self.additional_properties[key] def __contains__(self, key: str) -> bool: return key in self.additional_properties