Refactor hourly price recalculation logic: Implemented a two-tier pricing adjustment system based on sales data, comparing city sales against global and parent-region averages. Updated SQL queries to reflect new pricing rules, ensuring dynamic price adjustments within defined tolerances. Enhanced logging for better tracking of affected regions during recalculation.

src/worker/value_recalculation.rs

@@ -77,8 +77,14 @@ const QUERY_GET_SELL_REGIONS: &str = r#"
 "#;
 
 // Stündliche Preisneuberechnung basierend auf Verkäufen der letzten Stunde
-// Für jedes Produkt in jeder Stadt: Wenn überdurchschnittlich viel verkauft wurde,
+// Zwei Ebenen der Preisberechnung:
-// sinkt der Preis um 10% (begrenzt auf 0-100)
+// 1. Weltweit: Vergleich Stadt-Verkäufe vs. weltweiter Durchschnitt
+//    - ±5% Toleranz: Preis bleibt gleich
+//    - Mehr Verkäufe (>5% über Durchschnitt): Preis +10%
+//    - Weniger Verkäufe (<5% unter Durchschnitt): Preis -10%
+// 2. Parent-Region: Vergleich Stadt-Verkäufe vs. Durchschnitt der parent-region
+//    - ±5% Toleranz: Preis bleibt gleich
+//    - Abweichung >±5%: Preis ±5%
 const QUERY_HOURLY_PRICE_RECALCULATION: &str = r#"
     WITH city_sales AS (
         SELECT
@@ -89,38 +95,120 @@ const QUERY_HOURLY_PRICE_RECALCULATION: &str = r#"
         WHERE s.sell_timestamp >= NOW() - INTERVAL '1 hour'
         GROUP BY s.region_id, s.product_id
     ),
-    avg_sales AS (
+    world_avg_sales AS (
         SELECT
             product_id,
             AVG(total_sold) AS avg_sold
         FROM city_sales
         GROUP BY product_id
     ),
-    price_updates AS (
+    parent_region_sales AS (
+        SELECT
+            r.parent_region_id,
+            cs.product_id,
+            AVG(cs.total_sold) AS avg_sold
+        FROM city_sales cs
+        JOIN falukant_data.region r ON r.id = cs.region_id
+        WHERE r.parent_region_id IS NOT NULL
+        GROUP BY r.parent_region_id, cs.product_id
+    ),
+    price_updates_world AS (
         SELECT
             cs.region_id,
             cs.product_id,
             cs.total_sold,
-            COALESCE(av.avg_sold, 0) AS avg_sold,
+            COALESCE(wa.avg_sold, 0) AS world_avg,
-            tpw.worth_percent AS current_price
+            tpw.worth_percent AS current_price,
+            CASE
+                -- Mehr als 5% über dem weltweiten Durchschnitt: 10% teurer
+                WHEN cs.total_sold > COALESCE(wa.avg_sold, 0) * 1.05 
+                    THEN tpw.worth_percent * 1.1
+                -- Weniger als 5% unter dem weltweiten Durchschnitt: 10% billiger
+                WHEN cs.total_sold < COALESCE(wa.avg_sold, 0) * 0.95 
+                    THEN tpw.worth_percent * 0.9
+                -- Innerhalb ±5%: Preis bleibt gleich
+                ELSE tpw.worth_percent
+            END AS price_after_world
         FROM city_sales cs
-        JOIN avg_sales av ON av.product_id = cs.product_id
+        JOIN world_avg_sales wa ON wa.product_id = cs.product_id
         JOIN falukant_data.town_product_worth tpw
             ON tpw.region_id = cs.region_id
             AND tpw.product_id = cs.product_id
-        WHERE cs.total_sold > COALESCE(av.avg_sold, 0)
+        -- Nur updaten wenn es eine Änderung gibt (außerhalb der ±5% Toleranz)
+        WHERE cs.total_sold > COALESCE(wa.avg_sold, 0) * 1.05
+           OR cs.total_sold < COALESCE(wa.avg_sold, 0) * 0.95
+    ),
+    all_cities_with_prices AS (
+        SELECT
+            cs.region_id,
+            cs.product_id,
+            cs.total_sold,
+            r.parent_region_id,
+            tpw.worth_percent AS original_price,
+            COALESCE(puw.price_after_world, tpw.worth_percent) AS price_after_world
+        FROM city_sales cs
+        JOIN falukant_data.region r ON r.id = cs.region_id
+        JOIN falukant_data.town_product_worth tpw
+            ON tpw.region_id = cs.region_id
+            AND tpw.product_id = cs.product_id
+        LEFT JOIN price_updates_world puw
+            ON puw.region_id = cs.region_id
+            AND puw.product_id = cs.product_id
+    ),
+    price_updates_parent AS (
+        SELECT
+            acwp.region_id,
+            acwp.product_id,
+            acwp.total_sold,
+            acwp.parent_region_id,
+            COALESCE(prs.avg_sold, 0) AS parent_avg,
+            acwp.price_after_world AS current_price,
+            CASE
+                -- Mehr als 5% über dem parent-region Durchschnitt: 5% teurer
+                WHEN acwp.total_sold > COALESCE(prs.avg_sold, 0) * 1.05 
+                    THEN acwp.price_after_world * 1.05
+                -- Weniger als 5% unter dem parent-region Durchschnitt: 5% billiger
+                WHEN acwp.total_sold < COALESCE(prs.avg_sold, 0) * 0.95 
+                    THEN acwp.price_after_world * 0.95
+                -- Innerhalb ±5%: Preis bleibt gleich (vom world-update)
+                ELSE acwp.price_after_world
+            END AS new_price
+        FROM all_cities_with_prices acwp
+        LEFT JOIN parent_region_sales prs 
+            ON prs.parent_region_id = acwp.parent_region_id
+            AND prs.product_id = acwp.product_id
+        WHERE acwp.parent_region_id IS NOT NULL
+          AND (
+              acwp.total_sold > COALESCE(prs.avg_sold, 0) * 1.05
+              OR acwp.total_sold < COALESCE(prs.avg_sold, 0) * 0.95
+          )
+    ),
+    final_price_updates AS (
+        SELECT
+            COALESCE(pup.region_id, puw.region_id) AS region_id,
+            COALESCE(pup.product_id, puw.product_id) AS product_id,
+            COALESCE(pup.new_price, puw.price_after_world, acwp.original_price) AS final_price
+        FROM all_cities_with_prices acwp
+        LEFT JOIN price_updates_world puw
+            ON puw.region_id = acwp.region_id
+            AND puw.product_id = acwp.product_id
+        LEFT JOIN price_updates_parent pup
+            ON pup.region_id = acwp.region_id
+            AND pup.product_id = acwp.product_id
+        WHERE puw.region_id IS NOT NULL
+           OR pup.region_id IS NOT NULL
     )
     UPDATE falukant_data.town_product_worth tpw
     SET worth_percent = GREATEST(
         0,
         LEAST(
             100,
-            pu.current_price * 0.9  -- 10% Preisreduktion
+            fpu.final_price
         )
     )
-    FROM price_updates pu
+    FROM final_price_updates fpu
-    WHERE tpw.region_id = pu.region_id
+    WHERE tpw.region_id = fpu.region_id
-      AND tpw.product_id = pu.product_id;
+      AND tpw.product_id = fpu.product_id;
 "#;
 
 // Ehen / Beziehungen
@@ -341,10 +429,10 @@ impl ValueRecalculationWorker {
             .map_err(|e| DbError::new(format!("DB-Verbindung fehlgeschlagen: {e}")))?;
 
         conn.prepare("hourly_price_recalculation", QUERY_HOURLY_PRICE_RECALCULATION)?;
-        let updated_rows = conn.execute("hourly_price_recalculation", &[])?;
+        let _updated_rows = conn.execute("hourly_price_recalculation", &[])?;
 
         // Sammle alle betroffenen Regionen für Event-Benachrichtigungen
-        let mut affected_regions = std::collections::HashSet::new();
+        let mut affected_regions = HashSet::new();
         
         // Da die Query bereits die Updates durchführt, müssen wir die betroffenen Regionen
         // separat abfragen. Alternativ können wir auch einfach alle Regionen benachrichtigen,
@@ -362,6 +450,9 @@ impl ValueRecalculationWorker {
             }
         }
 
+        // Speichere die Anzahl vor der Schleife, da affected_regions in der Schleife bewegt wird
+        let affected_count = affected_regions.len();
+
         // Benachrichtige alle betroffenen Regionen über Preisänderungen
         for region_id in affected_regions {
             let message =
@@ -371,7 +462,7 @@ impl ValueRecalculationWorker {
 
         eprintln!(
             "[ValueRecalculationWorker] Stündliche Preisneuberechnung abgeschlossen. {} Regionen aktualisiert.",
-            affected_regions.len()
+            affected_count
         );
 
         Ok(())