Add trending movies/series, refreshed on a schedule
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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]>
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co-authored by
Claude Sonnet 5
parent
6c95e18aad
commit
4403305da6
@@ -124,6 +124,13 @@ class TMDbProvider(MetadataProvider):
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data = await self._get("/search/movie", {"query": query})
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return data.get("results", [])
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async def get_trending(self, media_type: str, time_window: str) -> list[dict[str, Any]]:
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# TMDb's own endpoint shape: /trending/{movie|tv}/{day|week} -- page
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# 1 only (~20 results), enough for a trending rail without pulling
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# in TMDb's full multi-page trending list.
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data = await self._get(f"/trending/{media_type}/{time_window}")
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return data.get("results", [])
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async def aclose(self) -> None:
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if self._owns_client:
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await self._client.aclose()
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