⚡ Bolt: [performance improvement] Add batching to TMDbDiscover._discover#336
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Refactored the item processing loop in `TMDbDiscover._discover` to process items in concurrent batches using `asyncio.gather` (batch_size=5). This significantly reduces the wait time for sequential IMDB lookups.
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💡 What: Refactored the
TMDbDiscover._discovermethod to process API result items in concurrent batches of 5 usingasyncio.gather.🎯 Why: Previously, when IMDB filtering was enabled, the code made sequential HTTP requests to fetch IMDB ratings for each item in a page of up to 20 results. This caused a significant performance bottleneck due to cumulative network latency.
📊 Impact: Reduces IMDB lookup latency by up to ~80% per page, significantly speeding up the overall content discovery process for the user without hitting API rate limits.
🔬 Measurement: Verified by running
api_service/test/test_tmdb_discover.pyandapi_service/test/test_omdb_filters.pyto ensure core filtering behavior remains unchanged while benefiting from concurrent execution.PR created automatically by Jules for task 18192017730575941163 started by @giuseppe99barchetta