Files
Aurora-Core/app/workers/tasks.py
T

68 lines
2.4 KiB
Python
Raw Normal View History

2026-09-04 17:34:03 -05:00
"""arq task functions. Thin wrappers around the ingestion runner so retry/
concurrency/observability behavior lives in arq's worker loop, not here.
Each task receives the `IngestionJob` row's id (created synchronously by the
enqueuing endpoint via `get_or_create_ingestion_job`, *not* generated here)
so status polling has a real, immediately-valid id to look up from the
moment the HTTP response comes back.
2026-09-04 17:34:03 -05:00
"""
from __future__ import annotations
import uuid
2026-09-04 17:34:03 -05:00
from typing import Any
from app.core.logging import get_logger
from app.services.ingestion.runner import (
get_or_create_ingestion_job,
get_series_season_numbers,
run_movie_ingestion,
run_person_ingestion,
run_season_ingestion,
run_series_ingestion,
)
2026-09-04 17:34:03 -05:00
logger = get_logger(__name__)
async def ingest_movie_task(ctx: dict[str, Any], job_id: str, external_id: str) -> str:
movie_id = await run_movie_ingestion(uuid.UUID(job_id), external_id)
2026-09-04 17:34:03 -05:00
return str(movie_id)
async def ingest_person_task(ctx: dict[str, Any], job_id: str, external_id: str) -> str:
person_id = await run_person_ingestion(uuid.UUID(job_id), external_id)
2026-09-04 17:34:03 -05:00
return str(person_id)
async def ingest_series_task(
ctx: dict[str, Any], job_id: str, external_id: str, include_seasons: bool = False
) -> str:
series_id = await run_series_ingestion(uuid.UUID(job_id), external_id)
if include_seasons:
# Fan out one ingest_season job per season this series has, using
# the same arq connection this task is running on (arq hands every
# job's ctx a "redis" entry precisely for chaining/fan-out like
# this) — not a second, unrelated connection.
redis = ctx["redis"]
for season_number in await get_series_season_numbers(series_id):
season_job_id = await get_or_create_ingestion_job(
"season_sync", "season", f"{external_id}:{season_number}"
)
await redis.enqueue_job(
"ingest_season_task", str(season_job_id), external_id, season_number
)
logger.info(
"series_seasons_cascaded", series_id=str(series_id), external_id=external_id
)
return str(series_id)
async def ingest_season_task(
ctx: dict[str, Any], job_id: str, series_external_id: str, season_number: int
) -> str:
season_id = await run_season_ingestion(uuid.UUID(job_id), series_external_id, season_number)
return str(season_id)