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from __future__ import annotations
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import threading
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from dataclasses import dataclass
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from datetime import UTC, datetime
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from typing import TYPE_CHECKING, Any
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from cloud.internal_api.models import AssignmentModel
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if TYPE_CHECKING:
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from collections.abc import Callable
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@dataclass(frozen=True)
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class _CurrentAssignment:
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task_id: str
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device_id: str
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goal: str | None
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workflow_definition_id: str | None
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started_at: datetime
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@dataclass(frozen=True)
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class _LastHeartbeat:
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ok: bool
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device_count: int
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at: datetime
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class AgentStatusTracker:
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def __init__(self, *, now: Callable[[], datetime] | None = None) -> None:
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self._now = now or (lambda: datetime.now(UTC))
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self._lock = threading.Lock()
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self._current_assignment: _CurrentAssignment | None = None
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self._last_heartbeat: _LastHeartbeat | None = None
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def mark_assignment_started(self, assignment: AssignmentModel) -> None:
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with self._lock:
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self._current_assignment = _CurrentAssignment(
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task_id=assignment.task_id,
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device_id=assignment.device_id,
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goal=assignment.goal,
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workflow_definition_id=assignment.workflow_definition_id,
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started_at=self._now(),
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)
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def mark_assignment_finished(self) -> None:
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with self._lock:
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self._current_assignment = None
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def mark_heartbeat(self, *, ok: bool, device_count: int) -> None:
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with self._lock:
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self._last_heartbeat = _LastHeartbeat(
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ok=ok,
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device_count=device_count,
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at=self._now(),
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)
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def snapshot(self) -> dict[str, Any]:
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with self._lock:
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current_assignment = self._current_assignment
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last_heartbeat = self._last_heartbeat
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return {
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"current_assignment": (
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{
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"task_id": current_assignment.task_id,
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"device_id": current_assignment.device_id,
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"goal": current_assignment.goal,
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"workflow_definition_id": current_assignment.workflow_definition_id,
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"started_at": current_assignment.started_at.isoformat(),
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}
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if current_assignment is not None
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else None
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),
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"last_heartbeat": (
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{
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"ok": last_heartbeat.ok,
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"device_count": last_heartbeat.device_count,
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"at": last_heartbeat.at.isoformat(),
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}
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if last_heartbeat is not None
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else None
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),
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}
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