fix(reader): the Takeout import keeps a later upload, an un-mark and its memory bound
- An ad-hoc request made while its target's run is under way is the run after it: the scheduler dropped a second fire of a running id, so a second Takeout file was never imported and its key stayed queued until a restart. - Un-marking or resetting a video is remembered (video_unmarks): an import of an older YouTube view no longer marks it watched again; un-marks take the user's Takeout lock. - One user's failure in the Shorts job's Takeout pass is theirs: the job keeps its own result, the others are settled, and a failed lookup spends none of the daily share. - The upload reads the user's id before giving the read connection back. - A watched row waits on a discovery video (search or explore) until the catalog keeps it, so a mark never pins it against the cleanup jobs. - The history is decoded a window at a time, a Watch later file over 2 MiB is refused unread, and two uploads at once across all users (takeout_server_busy). - A Watch later list goes in as one presence read and one insert.
This commit is contained in:
+63
-10
@@ -637,6 +637,15 @@ def ad_hoc_target_title(db, job: str, target: str) -> str | None:
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# run row is still the previous run's, so a page watching it asks `ad_hoc_queued` too.
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_queued: set[str] = set()
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_queued_guard = threading.Lock()
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# What the scheduler is told to run is only the key: the request itself waits here, the newest one
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# per key, until a fire of that key takes it. A request made while its key's run is under way is so
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# kept for the run after it, which that run asks for as it ends (`_running`): the scheduler would
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# drop a second fire of an id whose run has not returned (one instance per job id).
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_pending: dict[str, tuple[Callable[[], dict], int, bool]] = {}
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_running: set[str] = set()
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# Two at once, for the moment between a run letting go of its key and its thread returning: a fire
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# then is what takes the next request, and is not dropped.
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_AD_HOC_INSTANCES = 2
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def ad_hoc_queued(job: str, target: str) -> bool:
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@@ -650,37 +659,77 @@ def run_ad_hoc(
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) -> None:
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"""Run `fn` now as `actor_id`'s run of `job` on `target`, a one-shot job on the scheduler. Its
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own exclusion (if any) lives in `fn`, which says so in its result; one id per job and target, so
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a second request before the first has even started is that same run. `notify` posts its outcome
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to the user's inbox, for work whose page does not watch it run."""
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a second request before the first has even started is that same run, and one made while it runs
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is the run after it. `notify` posts its outcome to the user's inbox, for work whose page does not
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watch it run."""
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if job not in AD_HOC_JOBS:
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raise KeyError(job) # an unnamed job would show on the page as its bare id
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sched = _scheduler
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if sched is None:
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if _scheduler is None:
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# Only between shutdown and exit: start_scheduler runs at every API startup.
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raise RuntimeError("the scheduler is not running")
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key = f"{job}@{target}"
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with _queued_guard:
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_pending[key] = (fn, actor_id, notify)
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_queued.add(key)
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running = key in _running
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if running:
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log.info("ad-hoc %s for %s runs again once the run under way ends", job, target)
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return
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_fire(job, target)
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def _fire(job: str, target: str) -> None:
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"""Add the one-shot that takes `job@target`'s pending request. Raises (the request dropped) only
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when the scheduler cannot take it."""
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key = f"{job}@{target}"
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sched = _scheduler
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try:
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if sched is None:
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raise RuntimeError("the scheduler is not running")
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sched.add_job(
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_ad_hoc,
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_ad_hoc_fired,
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"date",
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args=(job, fn, actor_id, target, notify),
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args=(job, target),
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id=key,
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misfire_grace_time=None,
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max_instances=_AD_HOC_INSTANCES,
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)
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# silent-ok: not a failure — the run for this target is already queued, and it does this work.
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# silent-ok: not a failure — a fire of this key is already queued, and it takes this request.
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except ConflictingIdError:
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log.info("ad-hoc %s for %s already queued", job, target)
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except Exception:
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with _queued_guard:
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_pending.pop(key, None)
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_queued.discard(key)
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raise
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def _ad_hoc_fired(job: str, target: str) -> None:
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key = f"{job}@{target}"
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with _queued_guard:
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request = _pending.pop(key, None)
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if request is None:
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return # an earlier fire took it
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_running.add(key)
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fn, actor_id, notify = request
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try:
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_ad_hoc(job, fn, actor_id, target, notify)
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finally:
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with _queued_guard:
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_running.discard(key)
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again = key in _pending
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if again:
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try:
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_fire(job, target)
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except Exception:
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# The request made meanwhile is lost with the scheduler: shut down, nothing runs.
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log.exception("ad-hoc %s for %s not run again", job, target)
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def _ad_hoc(
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job: str, fn: Callable[[], dict], actor_id: int, target: str, notify: bool = False
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) -> None:
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key = f"{job}@{target}"
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try:
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run_id = jobruns.start(job, RunTrigger.AD_HOC, actor_id, target)
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except Exception:
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@@ -688,9 +737,11 @@ def _ad_hoc(
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log.exception("ad-hoc %s for %s not started: its run could not be recorded", job, target)
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return
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finally:
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# Recorded (or never will be): the run row now speaks for it.
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# Recorded (or never will be): the run row now speaks for it — unless another request came
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# meanwhile, which is still queued.
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with _queued_guard:
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_queued.discard(f"{job}@{target}")
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if key not in _pending:
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_queued.discard(key)
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_opened(run_id, job)
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try:
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_ad_hoc_work(job, fn, run_id, actor_id if notify else None)
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@@ -765,4 +816,6 @@ def shutdown_scheduler() -> None:
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_scheduler.shutdown(wait=False)
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_scheduler = None
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with _queued_guard:
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_queued.clear() # what it held will not run
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# What it held will not run.
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_queued.clear()
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_pending.clear()
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