search implement

src/models/products.rs

@@ -1,4 +1,5 @@
 use sea_orm::entity::prelude::*;
+use sea_orm::{ConnectionTrait, Statement};
 pub use crate::models::_entities::products::{ActiveModel, Column, Entity, Model};
 pub type Products = Entity;
 
@@ -25,4 +26,50 @@ impl Model {}
 impl ActiveModel {}
 
 // implement your custom finders, selectors oriented logic here
-impl Entity {}
+impl Entity {
+    /// Published products matching a free-text query, best matches first.
+    ///
+    /// Hybrid Postgres search. The `tsvector` full-text match covers the whole
+    /// purchasable surface — name, description, tags, variant labels and SKUs
+    /// (kept in sync by triggers; see the `product_search_aggregate` migration) —
+    /// OR a `pg_trgm` `word_similarity` match on name/description for typo
+    /// tolerance ("komprsor" still finds "kompresor"). Both sides run through
+    /// `f_unaccent`, so diacritics never matter. Results are ranked by full-text
+    /// rank, then trigram closeness of the name, then recency. An empty/blank
+    /// query returns nothing — callers fall back to the plain listing.
+    pub async fn search<C: ConnectionTrait>(db: &C, query: &str) -> Result<Vec<Model>, DbErr> {
+        let q = query.trim();
+        if q.is_empty() {
+            return Ok(Vec::new());
+        }
+
+        // Only the model's own columns are selected; the generated `search_vector`
+        // is left out so the row maps cleanly back onto `Model`. `$1` is reused
+        // for every occurrence of the query term.
+        let sql = r#"
+            SELECT p.created_at, p.updated_at, p.id, p.name, p.slug, p.description,
+                   p.currency, p.view_count, p.published, p.published_at, p.category_id
+            FROM products p
+            WHERE p.published = TRUE
+              AND (
+                  p.search_vector @@ websearch_to_tsquery('sk_unaccent', $1)
+                  OR word_similarity(f_unaccent($1), f_unaccent(p.name)) > 0.3
+                  OR word_similarity(f_unaccent($1), f_unaccent(COALESCE(p.description, ''))) > 0.3
+              )
+            ORDER BY
+                ts_rank(p.search_vector, websearch_to_tsquery('sk_unaccent', $1)) DESC,
+                word_similarity(f_unaccent($1), f_unaccent(p.name)) DESC,
+                p.published_at DESC NULLS LAST
+            LIMIT 60
+        "#;
+
+        Entity::find()
+            .from_raw_sql(Statement::from_sql_and_values(
+                db.get_database_backend(),
+                sql,
+                [q.into()],
+            ))
+            .all(db)
+            .await
+    }
+}