chore: import upstream snapshot with attribution

2026-07-13 12:47:58 +08:00
commit b16403ea71
789 changed files with 115226 additions and 0 deletions
@@ -0,0 +1,126 @@
+import datetime
+from collections.abc import Mapping
+from typing import Any, TypeVar
+
+from attrs import define as _attrs_define
+from attrs import field as _attrs_field
+from dateutil.parser import isoparse
+
+T = TypeVar("T", bound="SandboxMetric")
+
+
+@_attrs_define
+class SandboxMetric:
+    """Metric entry with timestamp and line
+
+    Attributes:
+        cpu_count (int): Number of CPU cores
+        cpu_used_pct (float): CPU usage percentage
+        disk_total (int): Total disk space in bytes
+        disk_used (int): Disk used in bytes
+        mem_cache (int): Cached memory (page cache) in bytes
+        mem_total (int): Total memory in bytes
+        mem_used (int): Memory used in bytes
+        timestamp (datetime.datetime): Timestamp of the metric entry
+        timestamp_unix (int): Timestamp of the metric entry in Unix time (seconds since epoch)
+    """
+
+    cpu_count: int
+    cpu_used_pct: float
+    disk_total: int
+    disk_used: int
+    mem_cache: int
+    mem_total: int
+    mem_used: int
+    timestamp: datetime.datetime
+    timestamp_unix: int
+    additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict)
+
+    def to_dict(self) -> dict[str, Any]:
+        cpu_count = self.cpu_count
+
+        cpu_used_pct = self.cpu_used_pct
+
+        disk_total = self.disk_total
+
+        disk_used = self.disk_used
+
+        mem_cache = self.mem_cache
+
+        mem_total = self.mem_total
+
+        mem_used = self.mem_used
+
+        timestamp = self.timestamp.isoformat()
+
+        timestamp_unix = self.timestamp_unix
+
+        field_dict: dict[str, Any] = {}
+        field_dict.update(self.additional_properties)
+        field_dict.update(
+            {
+                "cpuCount": cpu_count,
+                "cpuUsedPct": cpu_used_pct,
+                "diskTotal": disk_total,
+                "diskUsed": disk_used,
+                "memCache": mem_cache,
+                "memTotal": mem_total,
+                "memUsed": mem_used,
+                "timestamp": timestamp,
+                "timestampUnix": timestamp_unix,
+            }
+        )
+
+        return field_dict
+
+    @classmethod
+    def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T:
+        d = dict(src_dict)
+        cpu_count = d.pop("cpuCount")
+
+        cpu_used_pct = d.pop("cpuUsedPct")
+
+        disk_total = d.pop("diskTotal")
+
+        disk_used = d.pop("diskUsed")
+
+        mem_cache = d.pop("memCache")
+
+        mem_total = d.pop("memTotal")
+
+        mem_used = d.pop("memUsed")
+
+        timestamp = isoparse(d.pop("timestamp"))
+
+        timestamp_unix = d.pop("timestampUnix")
+
+        sandbox_metric = cls(
+            cpu_count=cpu_count,
+            cpu_used_pct=cpu_used_pct,
+            disk_total=disk_total,
+            disk_used=disk_used,
+            mem_cache=mem_cache,
+            mem_total=mem_total,
+            mem_used=mem_used,
+            timestamp=timestamp,
+            timestamp_unix=timestamp_unix,
+        )
+
+        sandbox_metric.additional_properties = d
+        return sandbox_metric
+
+    @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