browse_counts_cache.py: after FTS counts, _merge_community_tag_counts() queries
accepted tags (upvotes>=2) grouped by (domain,category,subcategory) and adds
distinct recipe_id counts to the cached keyword-set totals. Skips silently
when community Postgres is unavailable.
store.py: fetch_recipes_by_ids() fetches corpus recipes by explicit ID list,
used by the FTS fallback when a subcategory returns zero FTS results.
recipes.py (browse endpoint): when FTS total==0 for a subcategory, queries
community store for accepted tag IDs and serves those recipes directly.
Sets community_tagged=True in the response so the UI can surface context.
Refs kiwi#118.
pyr0ball
9697c7b64f