File size: 2,325 Bytes
da6ee5e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 | """Batch queue worker."""
from __future__ import annotations
import asyncio
import logging
from sqlalchemy import select
from app.db import get_session_factory
from app.models import Batch, Document
from app.schemas import DocStatus
from app.services.pipeline import process_document
from app.timeutil import utc_now
logger = logging.getLogger(__name__)
_running: set[str] = set()
async def run_batch(batch_id: str) -> None:
"""Process all queued documents in a batch."""
if batch_id in _running:
return
_running.add(batch_id)
try:
sessions = get_session_factory()
async with sessions() as session:
batch = await session.get(Batch, batch_id)
if not batch:
return
batch.status = "processing"
await session.commit()
result = await session.execute(
select(Document).where(
Document.batch_id == batch_id,
Document.status == DocStatus.QUEUED.value,
)
)
docs = list(result.scalars().all())
for doc in docs:
await process_document(session, doc)
batch = await session.get(Batch, batch_id)
if not batch:
return
batch.processed += 1
if doc.status == DocStatus.FAILED.value:
batch.failed += 1
await session.commit()
batch = await session.get(Batch, batch_id)
if batch:
batch.status = "completed"
batch.finished_at = utc_now()
await session.commit()
except Exception as exc: # noqa: BLE001
logger.exception("batch %s failed: %s", batch_id, exc)
try:
sessions = get_session_factory()
except RuntimeError:
return
async with sessions() as session:
batch = await session.get(Batch, batch_id)
if batch:
batch.status = "failed"
batch.finished_at = utc_now()
await session.commit()
finally:
_running.discard(batch_id)
def enqueue_batch(batch_id: str) -> None:
"""Fire-and-forget batch processing task."""
asyncio.create_task(run_batch(batch_id))
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