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A house's inverter broker dropped at 04:27 and the power flow was quarantined 20 seconds later. Quarantine was terminal — the supervised task returned and only a publish or an engine restart could bring it back — so five hours of power and battery readings are missing, and what ended it was an unrelated `git pull` restarting uvicorn. Two changes, both in that path: - the failure budget is per task, not per flow. `power` runs an MQTT subscriber and a Victron keepalive publisher against the same broker; they died together and spent one shared budget in 41s, giving up before the 60s backoff step was ever reached. - quarantine is now a rest. The task sits out 5min, then 15, then an hour, and each time gets its budget back and tries again, so a broker that comes back is picked up without anyone watching. `quarantined` reads from whichever tasks are currently resting. The alert for it says when it will try again. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01C5H4uLCCpsbipL1R7WKCee
216 lines
8.9 KiB
Python
216 lines
8.9 KiB
Python
"""Supervision for the long-lived tasks a pipeline starts.
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A node's subscription, schedule or poll loop is an `asyncio.Task`, and a task
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that raises is simply gone — the node stays listed as running while nothing
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listens any more. The supervisor restarts those tasks with a growing delay and
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stands a flow down when one keeps failing, because a flow crash-looping every
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second is worse than a flow that is visibly stopped.
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Standing down is a rest, not a verdict. It used to be the end of the task: the
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flow stayed dead until somebody published it or the engine restarted. On a
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house that runs unattended that turns a broker rebooting at four in the morning
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into a hole in the record until someone notices — so the rest expires, the
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budget comes back, and the task tries again on a much longer clock.
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Deliberately a plain task registry rather than a `TaskGroup`: a group cancels
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its siblings when one member fails, which is the opposite of what supervision
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means here.
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"""
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from __future__ import annotations
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import asyncio
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import logging
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import time
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from collections import deque
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from collections.abc import Callable, Coroutine
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from typing import Any
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from fluksio.flow.events import EventBus
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logger = logging.getLogger(__name__)
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BACKOFF = (1.0, 5.0, 30.0, 60.0)
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# A task that burns through this many restarts in the window is not going to
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# recover by being restarted again *now*.
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#
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# Per task rather than per flow: a flow whose subscriber and its keepalive
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# publisher both go down with the same broker spends one shared budget twice as
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# fast as it was sized for, and gives up before the backoff above has reached
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# its longest step. That is what took the house's inverter readings out for
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# nearly five hours — six crashes across two tasks inside 41 seconds.
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FAILURE_BUDGET = 5
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FAILURE_WINDOW = 300.0
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# How long a task sits out before its budget is handed back. Minutes rather
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# than seconds because a device that is really gone should not be hammered, and
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# capped in the hour because nothing here is worth losing a day of readings to.
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QUARANTINE_BACKOFF = (300.0, 900.0, 3600.0)
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# How long a cancelled task gets to notice. A loop that is still waiting after
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# this is not going to stop on its own — a client closing a socket the broker
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# no longer answers on is the case seen in the wild — and the rebuild asking
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# for it must not wait on that forever.
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CANCEL_GRACE = 5.0
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TaskFactory = Callable[[], Coroutine[Any, Any, None]]
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class Supervisor:
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"""Keeps the pipeline's background tasks alive, or admits it cannot."""
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def __init__(self, events: EventBus | None = None) -> None:
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self._events = events
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self._tasks: dict[str, asyncio.Task[None]] = {}
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#: Which flow each task belongs to. Recorded rather than read off the
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#: task's name, because names are a flow and a node joined by a dot and
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#: matching on that prefix would let 'hea' cancel 'heating'.
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self._flows: dict[str, str] = {}
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#: Crash times per *task*, keyed by task name.
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self._failures: dict[str, deque[float]] = {}
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#: The tasks sitting out a quarantine, and the flow each belongs to.
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self._resting: dict[str, str] = {}
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@property
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def quarantined(self) -> set[str]:
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"""The flows with at least one task currently standing down."""
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return set(self._resting.values())
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def spawn(self, name: str, flow: str, factory: TaskFactory) -> None:
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"""Run `factory()` and keep running it until told to stop."""
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if name in self._tasks:
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return
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self._flows[name] = flow
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self._tasks[name] = asyncio.create_task(
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self._supervise(name, flow, factory), name=f"supervised:{name}"
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)
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async def _supervise(self, name: str, flow: str, factory: TaskFactory) -> None:
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attempt = 0
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rests = 0
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while True:
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try:
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await factory()
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except asyncio.CancelledError:
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raise
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except Exception as exc:
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if not self._record_failure(name, flow, exc):
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await self._rest(name, flow, exc, rests)
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rests += 1
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attempt = 0
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continue
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else:
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# A clean return means the loop decided it was done.
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return
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delay = BACKOFF[min(attempt, len(BACKOFF) - 1)]
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attempt += 1
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await asyncio.sleep(delay)
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async def _rest(self, name: str, flow: str, exc: Exception, rests: int) -> None:
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"""Stand the task down, then hand its budget back and let it retry."""
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delay = QUARANTINE_BACKOFF[min(rests, len(QUARANTINE_BACKOFF) - 1)]
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logger.error(
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"Flow '%s' crashed %d times in %.0fs — quarantined, retrying in %.0fs",
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flow,
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FAILURE_BUDGET,
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FAILURE_WINDOW,
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delay,
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)
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self._resting[name] = flow
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self._publish(
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{
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"type": "flow_quarantined",
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"flow": flow,
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"task": name,
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"error": f"{type(exc).__name__}: {exc}",
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"retry_in_s": delay,
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"ts": time.time(),
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}
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)
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try:
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await asyncio.sleep(delay)
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finally:
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# Both, and in this order: a task woken by a cancellation is being
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# torn down, and must not leave the flow looking quarantined.
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self._resting.pop(name, None)
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self._failures.pop(name, None)
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def _record_failure(self, name: str, flow: str, exc: Exception) -> bool:
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"""Note the crash; False when this task has spent its budget."""
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logger.warning("Supervised task '%s' crashed: %s", name, exc, exc_info=True)
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self._publish(
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{
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"type": "task_crashed",
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"task": name,
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"flow": flow,
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"error": f"{type(exc).__name__}: {exc}",
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"ts": time.time(),
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}
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)
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now = time.monotonic()
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window = self._failures.setdefault(name, deque())
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window.append(now)
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while window and window[0] < now - FAILURE_WINDOW:
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window.popleft()
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return len(window) < FAILURE_BUDGET
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async def cancel_all(self) -> None:
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"""Stop supervising. Idempotent, and safe to call mid-restart."""
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tasks = list(self._tasks.values())
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self._tasks.clear()
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self._flows.clear()
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self._resting.clear()
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self._failures.clear()
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await self._cancel(tasks)
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async def cancel_flow(self, flow: str) -> None:
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"""Stop one flow's supervised tasks and give it a clean slate.
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Rebuilding the whole pipeline throws the supervisor away and builds
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another, so a flow quarantined by the last build gets another chance.
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Rebuilding one flow has to say the same thing about that flow alone, or
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every other flow's quarantine would go with it.
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"""
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names = [name for name, owner in self._flows.items() if owner == flow]
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tasks = [self._tasks.pop(name) for name in names if name in self._tasks]
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for name in names:
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del self._flows[name]
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# The clean slate: whatever these tasks spent before, the build
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# that follows starts their budgets again — and a rebuild is not
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# made to wait out a rest somebody has just fixed the cause of.
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self._failures.pop(name, None)
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self._resting.pop(name, None)
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await self._cancel(tasks)
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async def _cancel(self, tasks: list[asyncio.Task[None]]) -> None:
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"""Ask these tasks to stop, and wait no longer than the grace period."""
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for task in tasks:
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task.cancel()
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if not tasks:
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return
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# `wait` hands back what is still going instead of waiting on it, and
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# lets a cancellation aimed at *this* coroutine through — the
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# `except CancelledError` it replaces swallowed that, which left
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# whoever asked for the teardown holding their lock and unkillable.
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done, pending = await asyncio.wait(tasks, timeout=CANCEL_GRACE)
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for task in done:
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if not task.cancelled():
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# Retrieved so a crash on the way out is not reported at exit;
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# the supervisor has already said what it was.
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task.exception()
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for task in pending:
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# Cancelled once and still running means its shutdown is waiting on
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# something that is not answering. A second cancellation interrupts
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# that wait; whether it takes is no longer the rebuild's problem.
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task.cancel()
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logger.warning(
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"Supervised task '%s' did not stop within %.0fs — abandoned",
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task.get_name(),
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CANCEL_GRACE,
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)
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def _publish(self, event: dict[str, Any]) -> None:
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if self._events is not None:
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self._events.publish(event)
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