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Mirrors TMDb's own /trending/{movie|tv}/{day|week} ranking rather than
Aurora computing trending itself from popularity deltas -- that would
require re-syncing the entire catalog on a schedule, infeasible at any
real scale, whereas TMDb already computes this well from signals (real
view/search velocity) Aurora has no access to.
New: TrendingEntry model + migration 0003, MetadataProvider.get_trending
(concrete/optional, like aclose(), so existing test fakes don't all need
updating), refresh_trending() which actually ingests each trending item
(only ~20 per window, cheap enough to fully ingest rather than apply the
never-fabricate-a-stub rule recommendations uses), a twice-daily arq cron
job (WorkerSettings.cron_jobs, new to this codebase), a manual admin
trigger for right after a deploy, and GET /movies/trending + GET
/series/trending.
Co-Authored-By: Claude Sonnet 5 <[email protected]>
132 lines
5.3 KiB
Python
132 lines
5.3 KiB
Python
"""arq task functions. Thin wrappers around the ingestion runner so retry/
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concurrency/observability behavior lives in arq's worker loop, not here.
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Each ingest_* task receives the `IngestionJob` row's id (created
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synchronously by the enqueuing endpoint via `get_or_create_ingestion_job`,
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*not* generated here) so status polling has a real, immediately-valid id to
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look up from the moment the HTTP response comes back. `download_artwork_task`
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is the exception — it's an internal side effect of ingestion (see
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`_cascade_artwork_downloads`), not something a client triggers or polls, so
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it isn't tracked in `ingestion_jobs` at all; arq's own per-function retries
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are enough for it (section 10: artwork self-hosting is best-effort caching,
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not a user-facing operation with a status to report).
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"""
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from __future__ import annotations
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import uuid
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from typing import Any
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from app.core.database import session_scope
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from app.core.logging import get_logger
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from app.providers.tmdb import TMDbProvider
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from app.services.artwork.download import download_artwork
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from app.services.artwork.storage import get_artwork_storage
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from app.services.ingestion.runner import (
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get_movie_company_ids,
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get_or_create_ingestion_job,
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get_primary_artwork_for_download,
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get_series_company_ids,
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get_series_season_ids,
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get_series_season_numbers,
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run_collection_ingestion,
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run_movie_ingestion,
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run_person_ingestion,
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run_season_ingestion,
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run_series_ingestion,
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)
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from app.services.ingestion.trending_ingestion import refresh_trending
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logger = get_logger(__name__)
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async def _cascade_artwork_downloads(
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ctx: dict[str, Any], entity_type: str, entity_ids: list[uuid.UUID]
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) -> None:
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artwork_ids = await get_primary_artwork_for_download(entity_type, entity_ids)
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if not artwork_ids:
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return
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redis = ctx["redis"]
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for artwork_id in artwork_ids:
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await redis.enqueue_job("download_artwork_task", str(artwork_id))
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logger.info(
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"artwork_downloads_cascaded", entity_type=entity_type, count=len(artwork_ids)
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)
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async def ingest_movie_task(ctx: dict[str, Any], job_id: str, external_id: str) -> str:
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movie_id = await run_movie_ingestion(uuid.UUID(job_id), external_id)
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await _cascade_artwork_downloads(ctx, "movie", [movie_id])
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await _cascade_artwork_downloads(ctx, "company", await get_movie_company_ids(movie_id))
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return str(movie_id)
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async def ingest_person_task(ctx: dict[str, Any], job_id: str, external_id: str) -> str:
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person_id = await run_person_ingestion(uuid.UUID(job_id), external_id)
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await _cascade_artwork_downloads(ctx, "person", [person_id])
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return str(person_id)
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async def ingest_series_task(
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ctx: dict[str, Any], job_id: str, external_id: str, include_seasons: bool = False
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) -> str:
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series_id = await run_series_ingestion(uuid.UUID(job_id), external_id)
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await _cascade_artwork_downloads(ctx, "series", [series_id])
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# Season posters come from the season *stubs* ingest_series already
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# creates, independent of include_seasons (which only controls whether
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# full per-season episode data gets fetched) -- so this always runs.
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await _cascade_artwork_downloads(ctx, "season", await get_series_season_ids(series_id))
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await _cascade_artwork_downloads(ctx, "company", await get_series_company_ids(series_id))
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if include_seasons:
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# Fan out one ingest_season job per season this series has, using
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# the same arq connection this task is running on (arq hands every
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# job's ctx a "redis" entry precisely for chaining/fan-out like
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# this) — not a second, unrelated connection.
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redis = ctx["redis"]
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for season_number in await get_series_season_numbers(series_id):
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season_job_id = await get_or_create_ingestion_job(
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"season_sync", "season", f"{external_id}:{season_number}"
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)
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await redis.enqueue_job(
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"ingest_season_task", str(season_job_id), external_id, season_number
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)
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logger.info(
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"series_seasons_cascaded", series_id=str(series_id), external_id=external_id
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)
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return str(series_id)
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async def ingest_season_task(
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ctx: dict[str, Any], job_id: str, series_external_id: str, season_number: int
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) -> str:
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season_id = await run_season_ingestion(uuid.UUID(job_id), series_external_id, season_number)
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return str(season_id)
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async def ingest_collection_task(ctx: dict[str, Any], job_id: str, external_id: str) -> str:
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collection_id = await run_collection_ingestion(uuid.UUID(job_id), external_id)
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await _cascade_artwork_downloads(ctx, "collection", [collection_id])
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return str(collection_id)
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async def download_artwork_task(ctx: dict[str, Any], artwork_id: str) -> bool:
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async with session_scope() as session:
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return await download_artwork(session, get_artwork_storage(), uuid.UUID(artwork_id))
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async def refresh_trending_task(ctx: dict[str, Any]) -> None:
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"""Runs on a schedule (see WorkerSettings.cron_jobs in
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app/workers/worker.py) -- not tracked in ingestion_jobs, same as
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download_artwork_task, since there's no single external_id a client
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would poll status for."""
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provider = TMDbProvider()
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try:
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for media_type in ("movie", "tv"):
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for time_window in ("day", "week"):
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await refresh_trending(provider, media_type, time_window)
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finally:
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await provider.aclose()
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