b735432d02
Answers "how are videos/all media handled by the GPU worker": a job is per ITEM, but the agent fans a VIDEO into per-frame instances (ffmpeg in the agent, the existing cadence), each stored with a timestamp — so a video becomes a BAG of frame embeddings (fixes the mean-embedding muddle) instead of one washed-out vector. Stills → frame_time NULL; animated GIF/WebP treated like short video. - image_region.frame_time (migration 0061, not yet deployed so folded in): the source frame's seconds for video/animated media; NULL for stills. RegionService passes it through. A whole frame is just kind='frame'. - gpu_job + GpuJobService (migration 0062): the durable work list that keeps the desktop agent HTTP-only — enqueue (dedupes (image,task)) / lease (FOR UPDATE SKIP LOCKED, re-claims expired leases so the queue self-heals) / heartbeat / complete / fail (re-queues until MAX_ATTEMPTS then 'error'). The server enqueues; the agent leases+submits over the web API; Redis/Postgres stay private. Tests: enqueue dedupe, lease-then-skip-when-held, expired-lease reclaim, scoped heartbeat, complete, fail-requeue-then-error. region test now covers frame_time. NEXT: the thin HTTP API (lease/submit/heartbeat) + bearer-token auth, then the agent container + control UI. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
135 lines
4.9 KiB
Python
135 lines
4.9 KiB
Python
"""GPU-job queue engine (#114): enqueue / lease / heartbeat / complete / fail.
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Backs the HTTP API the desktop agent pulls work from. The lease claims pending
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OR expired-leased jobs with FOR UPDATE SKIP LOCKED, so concurrent agents (or a
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retry after an agent died) never grab the same job and the queue self-heals
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without a separate recovery sweep. Result-writing (regions) is done by the API
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handler via RegionService; complete() just closes the job.
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"""
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from datetime import UTC, datetime, timedelta
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from sqlalchemy import and_, or_, select, update
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from sqlalchemy.ext.asyncio import AsyncSession
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from ...models import GpuJob
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DEFAULT_LEASE_TTL = 300 # seconds an agent holds a job before it can be re-leased
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DEFAULT_BATCH = 8
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MAX_ATTEMPTS = 3
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class GpuJobService:
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def __init__(self, session: AsyncSession):
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self.session = session
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async def enqueue(self, image_id: int, task: str) -> GpuJob | None:
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"""Queue a (image, task) job. Idempotent: returns None if one is already
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pending/leased for the same pair (no duplicate work)."""
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dup = (
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await self.session.execute(
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select(GpuJob.id).where(
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GpuJob.image_record_id == image_id,
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GpuJob.task == task,
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GpuJob.status.in_(["pending", "leased"]),
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)
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)
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).first()
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if dup:
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return None
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job = GpuJob(image_record_id=image_id, task=task, status="pending")
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self.session.add(job)
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await self.session.flush()
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return job
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async def lease(
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self, token: str, batch_size: int = DEFAULT_BATCH, ttl: int = DEFAULT_LEASE_TTL
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) -> list[GpuJob]:
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"""Claim up to batch_size pending (or expired-leased) jobs for `token`."""
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now = datetime.now(UTC)
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picked = (
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await self.session.execute(
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select(GpuJob.id)
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.where(
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or_(
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GpuJob.status == "pending",
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and_(
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GpuJob.status == "leased",
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GpuJob.lease_expires_at < now,
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),
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)
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)
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.order_by(GpuJob.id)
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.limit(batch_size)
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.with_for_update(skip_locked=True)
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)
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).scalars().all()
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if not picked:
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return []
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await self.session.execute(
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update(GpuJob)
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.where(GpuJob.id.in_(picked))
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.values(
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status="leased", lease_token=token, leased_at=now,
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lease_expires_at=now + timedelta(seconds=ttl),
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attempts=GpuJob.attempts + 1, updated_at=now,
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)
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)
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# populate_existing: overwrite identity-map copies with the post-UPDATE
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# values so the returned jobs reflect the new lease/attempts, not stale
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# pre-lease state.
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return list(
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(
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await self.session.execute(
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select(GpuJob)
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.where(GpuJob.id.in_(picked))
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.order_by(GpuJob.id)
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.execution_options(populate_existing=True)
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)
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).scalars()
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)
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async def heartbeat(
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self, token: str, job_ids: list[int], ttl: int = DEFAULT_LEASE_TTL
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) -> int:
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"""Extend the lease on the agent's in-flight jobs. Returns rows touched."""
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now = datetime.now(UTC)
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res = await self.session.execute(
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update(GpuJob)
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.where(
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GpuJob.id.in_(job_ids),
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GpuJob.lease_token == token,
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GpuJob.status == "leased",
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)
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.values(lease_expires_at=now + timedelta(seconds=ttl), updated_at=now)
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)
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return res.rowcount or 0
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async def complete(self, token: str, job_id: int) -> bool:
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"""Close a leased job (after its results were stored). False if the job
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isn't leased by this token (a stale/expired submit)."""
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job = await self.session.get(GpuJob, job_id)
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if job is None or job.status != "leased" or job.lease_token != token:
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return False
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job.status = "done"
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job.lease_token = None
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job.lease_expires_at = None
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job.error = None
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job.updated_at = datetime.now(UTC)
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return True
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async def fail(self, token: str, job_id: int, error: str) -> bool:
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"""Report a failure: re-queue (pending) until MAX_ATTEMPTS, then 'error'."""
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job = await self.session.get(GpuJob, job_id)
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if job is None or job.lease_token != token:
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return False
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if job.attempts >= MAX_ATTEMPTS:
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job.status = "error"
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else:
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job.status = "pending"
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job.lease_token = None
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job.lease_expires_at = None
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job.error = (error or "")[:1000]
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job.updated_at = datetime.now(UTC)
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return True
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