wehub-resource-sync
127 lines
3.4 KiB
Python
Generated
127 lines
3.4 KiB
Python
Generated
import datetime
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from collections.abc import Mapping
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from typing import 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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from dateutil.parser import isoparse
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T = TypeVar("T", bound="SandboxMetric")
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@_attrs_define
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class SandboxMetric:
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"""Metric entry with timestamp and line
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Attributes:
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cpu_count (int): Number of CPU cores
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cpu_used_pct (float): CPU usage percentage
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disk_total (int): Total disk space in bytes
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disk_used (int): Disk used in bytes
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mem_cache (int): Cached memory (page cache) in bytes
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mem_total (int): Total memory in bytes
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mem_used (int): Memory used in bytes
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timestamp (datetime.datetime): Timestamp of the metric entry
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timestamp_unix (int): Timestamp of the metric entry in Unix time (seconds since epoch)
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"""
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cpu_count: int
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cpu_used_pct: float
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disk_total: int
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disk_used: int
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mem_cache: int
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mem_total: int
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mem_used: int
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timestamp: datetime.datetime
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timestamp_unix: 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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cpu_count = self.cpu_count
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cpu_used_pct = self.cpu_used_pct
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disk_total = self.disk_total
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disk_used = self.disk_used
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mem_cache = self.mem_cache
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mem_total = self.mem_total
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mem_used = self.mem_used
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timestamp = self.timestamp.isoformat()
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timestamp_unix = self.timestamp_unix
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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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"cpuCount": cpu_count,
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"cpuUsedPct": cpu_used_pct,
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"diskTotal": disk_total,
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"diskUsed": disk_used,
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"memCache": mem_cache,
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"memTotal": mem_total,
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"memUsed": mem_used,
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"timestamp": timestamp,
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"timestampUnix": timestamp_unix,
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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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d = dict(src_dict)
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cpu_count = d.pop("cpuCount")
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cpu_used_pct = d.pop("cpuUsedPct")
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disk_total = d.pop("diskTotal")
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disk_used = d.pop("diskUsed")
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mem_cache = d.pop("memCache")
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mem_total = d.pop("memTotal")
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mem_used = d.pop("memUsed")
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timestamp = isoparse(d.pop("timestamp"))
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timestamp_unix = d.pop("timestampUnix")
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sandbox_metric = cls(
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cpu_count=cpu_count,
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cpu_used_pct=cpu_used_pct,
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disk_total=disk_total,
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disk_used=disk_used,
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mem_cache=mem_cache,
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mem_total=mem_total,
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mem_used=mem_used,
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timestamp=timestamp,
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timestamp_unix=timestamp_unix,
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)
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sandbox_metric.additional_properties = d
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return sandbox_metric
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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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