feat(sqlite): refactor orders schema + dashboard period filter

Replace import_orders (insert-per-run) with orders table (one row per
order, upsert on conflict). Eliminates dedup CTE on every dashboard
query and prevents unbounded row growth at 4-500 orders/sync.

Key changes:
- orders table: PK order_number, upsert via ON CONFLICT DO UPDATE;
  COALESCE preserves id_comanda once set; times_skipped auto-increments
- sync_run_orders: lightweight junction (sync_run_id, order_number)
  replaces sync_run_id column on orders
- order_items: PK changed to (order_number, sku), INSERT OR IGNORE
- Auto-migration in init_sqlite(): import_orders → orders on first boot,
  old table renamed to import_orders_bak
- /api/dashboard/orders: period_days param (3/7/30/0=all, default 7)
- Dashboard: period selector buttons in orders card header
- start.sh: stop existing process on port 5003 before restart;
  remove --reload (broken on WSL2 /mnt/e/)
- Add invoice_service, E2E Playwright tests, Oracle package updates

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

api/app/services/validation_service.py

@@ -29,7 +29,7 @@ def validate_skus(skus: set[str]) -> dict:
                 # Check ARTICOLE_TERTI
                 cur.execute(f"""
                     SELECT DISTINCT sku FROM ARTICOLE_TERTI
-                    WHERE sku IN ({placeholders}) AND activ = 1
+                    WHERE sku IN ({placeholders}) AND activ = 1 AND sters = 0
                 """, params)
                 for row in cur:
                     mapped.add(row[0])
@@ -41,7 +41,7 @@ def validate_skus(skus: set[str]) -> dict:
                     params2 = {f"n{j}": sku for j, sku in enumerate(remaining)}
                     cur.execute(f"""
                         SELECT DISTINCT codmat FROM NOM_ARTICOLE
-                        WHERE codmat IN ({placeholders2})
+                        WHERE codmat IN ({placeholders2}) AND sters = 0 AND inactiv = 0
                     """, params2)
                     for row in cur:
                         direct.add(row[0])