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 +1,86 @@
+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="TeamMetric")
+
+
+@_attrs_define
+class TeamMetric:
+    """Team metric with timestamp
+
+    Attributes:
+        concurrent_sandboxes (int): The number of concurrent sandboxes for the team
+        sandbox_start_rate (float): Number of sandboxes started per second
+        timestamp (datetime.datetime): Timestamp of the metric entry
+        timestamp_unix (int): Timestamp of the metric entry in Unix time (seconds since epoch)
+    """
+
+    concurrent_sandboxes: int
+    sandbox_start_rate: float
+    timestamp: datetime.datetime
+    timestamp_unix: int
+    additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict)
+
+    def to_dict(self) -> dict[str, Any]:
+        concurrent_sandboxes = self.concurrent_sandboxes
+
+        sandbox_start_rate = self.sandbox_start_rate
+
+        timestamp = self.timestamp.isoformat()
+
+        timestamp_unix = self.timestamp_unix
+
+        field_dict: dict[str, Any] = {}
+        field_dict.update(self.additional_properties)
+        field_dict.update(
+            {
+                "concurrentSandboxes": concurrent_sandboxes,
+                "sandboxStartRate": sandbox_start_rate,
+                "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)
+        concurrent_sandboxes = d.pop("concurrentSandboxes")
+
+        sandbox_start_rate = d.pop("sandboxStartRate")
+
+        timestamp = isoparse(d.pop("timestamp"))
+
+        timestamp_unix = d.pop("timestampUnix")
+
+        team_metric = cls(
+            concurrent_sandboxes=concurrent_sandboxes,
+            sandbox_start_rate=sandbox_start_rate,
+            timestamp=timestamp,
+            timestamp_unix=timestamp_unix,
+        )
+
+        team_metric.additional_properties = d
+        return team_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