pyr0ball 1a7a94a344 feat(browse-counts): add pre-computed FTS counts cache with nightly refresh ... Multiple concurrent users browsing the 3.2M recipe corpus would cause FTS5 page cache contention and slow per-request queries. Solution: pre-compute counts for all category/subcategory keyword sets into a small SQLite cache. - browse_counts_cache.py: refresh(), load_into_memory(), is_stale() helpers - config.py: BROWSE_COUNTS_PATH setting (default DATA_DIR/browse_counts.db) - main.py: warms in-memory cache on startup; runs nightly refresh task every 24h - infer_recipe_tags.py: auto-refreshes cache after a successful tag run so the app picks up updated FTS counts without a restart		2026-04-21 15:04:23 -07:00
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pipeline	feat(browse-counts): add pre-computed FTS counts cache with nightly refresh	2026-04-21 15:04:23 -07:00
__init__.py	feat: data pipeline -- USDA FDC ingredient index builder	2026-03-30 22:44:25 -07:00
backfill_keywords.py	chore: commit in-progress work -- tag inferrer, imitate endpoint, hall-of-chaos easter egg, migration files, Dockerfile .env defense	2026-04-14 13:23:15 -07:00
backfill_texture_profiles.py	feat: recipe engine — assembly templates, prep notes, FTS fixes, texture backfill	2026-04-02 22:12:35 -07:00