chore: import upstream snapshot with attribution

This commit is contained in:
wehub-resource-sync
2026-07-13 12:47:58 +08:00
commit b16403ea71
789 changed files with 115226 additions and 0 deletions
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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
if TYPE_CHECKING:
from ..models.disk_metrics import DiskMetrics
T = TypeVar("T", bound="NodeMetrics")
@_attrs_define
class NodeMetrics:
"""Node metrics
Attributes:
allocated_cpu (int): Number of allocated CPU cores
allocated_memory_bytes (int): Amount of allocated memory in bytes
cpu_count (int): Total number of CPU cores on the node
cpu_percent (int): Node CPU usage percentage
disks (list['DiskMetrics']): Detailed metrics for each disk/mount point
memory_total_bytes (int): Total node memory in bytes
memory_used_bytes (int): Node memory used in bytes
"""
allocated_cpu: int
allocated_memory_bytes: int
cpu_count: int
cpu_percent: int
disks: list["DiskMetrics"]
memory_total_bytes: int
memory_used_bytes: int
additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict)
def to_dict(self) -> dict[str, Any]:
allocated_cpu = self.allocated_cpu
allocated_memory_bytes = self.allocated_memory_bytes
cpu_count = self.cpu_count
cpu_percent = self.cpu_percent
disks = []
for disks_item_data in self.disks:
disks_item = disks_item_data.to_dict()
disks.append(disks_item)
memory_total_bytes = self.memory_total_bytes
memory_used_bytes = self.memory_used_bytes
field_dict: dict[str, Any] = {}
field_dict.update(self.additional_properties)
field_dict.update(
{
"allocatedCPU": allocated_cpu,
"allocatedMemoryBytes": allocated_memory_bytes,
"cpuCount": cpu_count,
"cpuPercent": cpu_percent,
"disks": disks,
"memoryTotalBytes": memory_total_bytes,
"memoryUsedBytes": memory_used_bytes,
}
)
return field_dict
@classmethod
def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T:
from ..models.disk_metrics import DiskMetrics
d = dict(src_dict)
allocated_cpu = d.pop("allocatedCPU")
allocated_memory_bytes = d.pop("allocatedMemoryBytes")
cpu_count = d.pop("cpuCount")
cpu_percent = d.pop("cpuPercent")
disks = []
_disks = d.pop("disks")
for disks_item_data in _disks:
disks_item = DiskMetrics.from_dict(disks_item_data)
disks.append(disks_item)
memory_total_bytes = d.pop("memoryTotalBytes")
memory_used_bytes = d.pop("memoryUsedBytes")
node_metrics = cls(
allocated_cpu=allocated_cpu,
allocated_memory_bytes=allocated_memory_bytes,
cpu_count=cpu_count,
cpu_percent=cpu_percent,
disks=disks,
memory_total_bytes=memory_total_bytes,
memory_used_bytes=memory_used_bytes,
)
node_metrics.additional_properties = d
return node_metrics
@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