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feat: food search sheet with FTS+trgm, dish/recent endpoints, multilingual aliases

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Backend:
- GET /dishes/search — hybrid FTS (english + simple) + trgm + ILIKE search
- GET /diary/recent — recently used dishes and products for the current user
- product search upgraded: FTS on canonical_name and product_aliases, ranked by GREATEST(ts_rank, similarity)
- importoff: collect product_name_ru/de/fr/... as product_aliases for multilingual search (e.g. "сникерс" → "Snickers")
- migrations: FTS + trgm indexes merged into 001_initial_schema.sql (002 removed)

Flutter:
- FoodSearchSheet: debounced search field, recently-used section, product/dish results, scan-photo and barcode chips
- DishPortionSheet: quick ½/1/1½/2 buttons + custom input
- + button in meal card now opens FoodSearchSheet instead of going directly to AI scan
- 7 new l10n keys across all 12 languages

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
dbastrikin
2026-03-21 15:28:29 +02:00
parent 81185bb7ff
commit 78f1c8bf76
41 changed files with 1688 additions and 28 deletions
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34
backend/internal/domain/product/repository.go
View File

@@ -202,15 +202,33 @@ func (r *Repository) Search(requestContext context.Context, query string, limit
FROM product_aliases pa
WHERE pa.product_id = p.id AND pa.lang = $3
) al ON true
WHERE EXISTS (
SELECT 1 FROM product_aliases pa
WHERE pa.product_id = p.id
AND (pa.lang = $3 OR pa.lang = 'en')
AND pa.alias ILIKE '%' || $1 || '%'
WHERE (
to_tsvector('english', p.canonical_name) @@ plainto_tsquery('english', $1)
OR EXISTS (
SELECT 1 FROM product_aliases pa
WHERE pa.product_id = p.id
AND (pa.lang = $3 OR pa.lang = 'en')
AND to_tsvector('simple', pa.alias) @@ plainto_tsquery('simple', $1)
)
OR p.canonical_name ILIKE '%' || $1 || '%'
OR EXISTS (
SELECT 1 FROM product_aliases pa
WHERE pa.product_id = p.id
AND (pa.lang = $3 OR pa.lang = 'en')
AND pa.alias ILIKE '%' || $1 || '%'
)
OR similarity(p.canonical_name, $1) > 0.3
)
OR p.canonical_name ILIKE '%' || $1 || '%'
OR similarity(p.canonical_name, $1) > 0.3
ORDER BY similarity(p.canonical_name, $1) DESC
ORDER BY
GREATEST(
ts_rank(to_tsvector('english', p.canonical_name), plainto_tsquery('english', $1)),
COALESCE((
SELECT MAX(ts_rank(to_tsvector('simple', pa.alias), plainto_tsquery('simple', $1)))
FROM product_aliases pa
WHERE pa.product_id = p.id AND (pa.lang = $3 OR pa.lang = 'en')
), 0),
similarity(p.canonical_name, $1)
) DESC
LIMIT $2`
rows, queryError := r.pool.Query(requestContext, searchQuery, query, limit, lang)