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

scratch/check_db_stats3.py

@@ -0,0 +1,40 @@
+import sys
+import os
+import pymysql
+import json
+
+sys.path.insert(0, '/home/hoon/kis_bot')
+from kis_trader.utils.env import get_env_from_db
+
+host = "192.168.0.141"
+user = "kis"
+password = "kis"
+db_name = "kis_quant_db"
+
+conn = pymysql.connect(host=host, user=user, password=password, database=db_name)
+today = "2026-08-11"
+
+queries = {
+    "trade_history": f"SELECT COUNT(*) FROM trade_history WHERE buy_date >= '{today} 00:00:00'",
+    "kis_ws_orderbook": f"SELECT COUNT(*) FROM kis_ws_orderbook WHERE recv_ts >= '{today} 00:00:00'",
+    "ls_ws_orderbook": f"SELECT COUNT(*) FROM ls_ws_orderbook WHERE recv_ts >= '{today} 00:00:00'",
+    "ws_orderbook (키움)": f"SELECT COUNT(*) FROM ws_orderbook WHERE recv_ts >= '{today} 00:00:00'",
+    "ls_ws_ticks": f"SELECT COUNT(*) FROM ls_ws_ticks WHERE ts >= '{today} 00:00:00'",
+    "ws_ticks (키움/KIS)": f"SELECT COUNT(*) FROM ws_ticks WHERE recv_ts >= '{today} 00:00:00'",
+    "ls_ws_candles": f"SELECT COUNT(*) FROM ls_ws_candles WHERE datetime >= '{today} 00:00:00'",
+    "ws_candles (키움/KIS)": f"SELECT COUNT(*) FROM ws_candles WHERE candle_time >= '{today} 00:00:00'",
+}
+
+results = {}
+with conn.cursor() as cur:
+    for name, q in queries.items():
+        try:
+            cur.execute(q)
+            res = cur.fetchone()
+            results[name] = res[0]
+        except Exception as e:
+            results[name] = f"Error: {e}"
+
+conn.close()
+for k, v in results.items():
+    print(f"{k}: {v:,}" if isinstance(v, int) else f"{k}: {v}")