refactor: enhance Optuna backtesting framework, optimize orderbook filtering, and update database management utilities.

scratch/update_optuna_jobs.py

@@ -0,0 +1,22 @@
+from database import TradeDB
+import json
+
+db = TradeDB()
+try:
+    for strat in ['MOMENTUM', 'BREAKOUT', 'SCALP', 'TAIL']:
+        row = db.conn.execute("SELECT id, out_data FROM optuna_jobs WHERE strategy=%s ORDER BY id DESC LIMIT 1", (strat,)).fetchone()
+        if not row: continue
+        
+        job_id = row['id']
+        out_data = json.loads(row['out_data'] or '{}')
+        
+        # Get latest whipsaw result
+        # Actually I can just run attach_whipsaw_recommend on this out_data
+        from kis_trader.backtest.optuna_whipsaw_recommend import attach_whipsaw_recommend
+        out_data = attach_whipsaw_recommend(out_data)
+        
+        db.conn.execute("UPDATE optuna_jobs SET out_data=%s WHERE id=%s", (json.dumps(out_data, ensure_ascii=False), job_id))
+        db.conn.commit()
+        print(f"Updated job {job_id} for {strat}")
+finally:
+    db.close()