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51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from enum import Enum
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from tools.system.fleet_monitoring.probe import ProcessSnapshot
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_CPU_THRESHOLD_PERCENT = 5.0
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class Status(Enum):
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ACTIVE = "active"
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IDLE = "idle"
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STUCK = "stuck"
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def compute_status(
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record: ProcessSnapshot,
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now: datetime,
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*,
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last_output_at: datetime | None,
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idle_after_s: int = 120,
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stuck_after_s: int = 480,
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) -> Status:
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"""
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Classify an agent process as active, idle, or stuck based on CPU activity and output recency.
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When last_output_at is None (no output tracking available), falls back to record.started_at
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as the last-known-activity reference. This may produce false positives for
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stuck on processes that are actively producing output but lack an output tracker.
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"""
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if now.tzinfo is None:
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raise ValueError("now must be timezone-aware (e.g. datetime.now(UTC)), got naive datetime")
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if last_output_at is None:
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last_output_at = record.started_at
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elif last_output_at.tzinfo is None:
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raise ValueError(
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"last_output_at must be timezone-aware (e.g. datetime.now(UTC)), got naive datetime"
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)
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delta = now - last_output_at
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high_cpu = record.cpu_percent >= _CPU_THRESHOLD_PERCENT
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if not high_cpu and delta.total_seconds() >= idle_after_s:
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return Status.IDLE
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if high_cpu and delta.total_seconds() >= stuck_after_s:
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return Status.STUCK
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return Status.ACTIVE
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