wehub-resource-sync
123 lines
3.6 KiB
Python
Generated
123 lines
3.6 KiB
Python
Generated
from collections.abc import Mapping
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from typing import TYPE_CHECKING, Any, TypeVar
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from attrs import define as _attrs_define
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from attrs import field as _attrs_field
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if TYPE_CHECKING:
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from ..models.disk_metrics import DiskMetrics
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T = TypeVar("T", bound="NodeMetrics")
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@_attrs_define
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class NodeMetrics:
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"""Node metrics
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Attributes:
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allocated_cpu (int): Number of allocated CPU cores
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allocated_memory_bytes (int): Amount of allocated memory in bytes
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cpu_count (int): Total number of CPU cores on the node
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cpu_percent (int): Node CPU usage percentage
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disks (list['DiskMetrics']): Detailed metrics for each disk/mount point
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memory_total_bytes (int): Total node memory in bytes
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memory_used_bytes (int): Node memory used in bytes
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"""
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allocated_cpu: int
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allocated_memory_bytes: int
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cpu_count: int
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cpu_percent: int
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disks: list["DiskMetrics"]
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memory_total_bytes: int
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memory_used_bytes: int
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additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict)
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def to_dict(self) -> dict[str, Any]:
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allocated_cpu = self.allocated_cpu
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allocated_memory_bytes = self.allocated_memory_bytes
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cpu_count = self.cpu_count
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cpu_percent = self.cpu_percent
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disks = []
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for disks_item_data in self.disks:
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disks_item = disks_item_data.to_dict()
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disks.append(disks_item)
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memory_total_bytes = self.memory_total_bytes
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memory_used_bytes = self.memory_used_bytes
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field_dict: dict[str, Any] = {}
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field_dict.update(self.additional_properties)
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field_dict.update(
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{
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"allocatedCPU": allocated_cpu,
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"allocatedMemoryBytes": allocated_memory_bytes,
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"cpuCount": cpu_count,
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"cpuPercent": cpu_percent,
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"disks": disks,
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"memoryTotalBytes": memory_total_bytes,
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"memoryUsedBytes": memory_used_bytes,
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}
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)
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return field_dict
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@classmethod
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def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T:
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from ..models.disk_metrics import DiskMetrics
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d = dict(src_dict)
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allocated_cpu = d.pop("allocatedCPU")
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allocated_memory_bytes = d.pop("allocatedMemoryBytes")
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cpu_count = d.pop("cpuCount")
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cpu_percent = d.pop("cpuPercent")
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disks = []
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_disks = d.pop("disks")
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for disks_item_data in _disks:
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disks_item = DiskMetrics.from_dict(disks_item_data)
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disks.append(disks_item)
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memory_total_bytes = d.pop("memoryTotalBytes")
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memory_used_bytes = d.pop("memoryUsedBytes")
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node_metrics = cls(
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allocated_cpu=allocated_cpu,
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allocated_memory_bytes=allocated_memory_bytes,
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cpu_count=cpu_count,
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cpu_percent=cpu_percent,
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disks=disks,
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memory_total_bytes=memory_total_bytes,
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memory_used_bytes=memory_used_bytes,
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)
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node_metrics.additional_properties = d
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return node_metrics
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@property
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def additional_keys(self) -> list[str]:
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return list(self.additional_properties.keys())
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def __getitem__(self, key: str) -> Any:
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return self.additional_properties[key]
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def __setitem__(self, key: str, value: Any) -> None:
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self.additional_properties[key] = value
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def __delitem__(self, key: str) -> None:
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del self.additional_properties[key]
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def __contains__(self, key: str) -> bool:
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return key in self.additional_properties
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