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

scratch/check_db_stats_today.py

@@ -0,0 +1,54 @@
+import sys
+import datetime
+sys.path.insert(0, '/home/hoon/kis_bot')
+from database import TradeDB
+
+db = TradeDB()
+
+# 오늘 날짜
+today_str = "2026-08-11"
+today_dt = datetime.datetime.strptime(today_str, "%Y-%m-%d")
+
+# 테이블별 타임스탬프 컬럼
+table_time_col = {
+    'trade_history': 'buy_date',
+    'ws_ticks': 'tick_time',
+    'ws_candles': 'start_time',
+    'ws_orderbook': 'recv_ts',
+    'kis_ws_orderbook': 'recv_ts',
+    'ls_ws_ticks': 'recv_ts',
+    'ls_ws_candles': 'recv_ts',
+    'ls_ws_orderbook': 'recv_ts'
+}
+
+print(f"| 증권사 | 데이터 유형 | 테이블명 | {today_str} 당일 적재 건수 |")
+print("|---|---|---|---|")
+
+for t, col in table_time_col.items():
+    try:
+        if t == 'trade_history':
+            sql = f"SELECT COUNT(*) as c FROM {t} WHERE DATE({col}) = %s"
+            params = (today_str,)
+        else:
+            sql = f"SELECT COUNT(*) as c FROM {t} WHERE {col} LIKE %s"
+            params = (f"{today_str}%",)
+            
+        res = db.conn.execute(sql, params).fetchone()
+        count = dict(res)['c']
+        
+        broker = "공통"
+        if "ls_" in t:
+            broker = "LS증권"
+        elif "kis_" in t or t in ['ws_ticks', 'ws_candles', 'ws_orderbook']:
+            broker = "한국투자증권(KIS) / 키움"
+            
+        data_type = "매매내역"
+        if "tick" in t: data_type = "실시간 체결 틱"
+        elif "candle" in t: data_type = "실시간 캔들 (분봉)"
+        elif "orderbook" in t: data_type = "호가 스냅샷 (Orderbook)"
+        
+        print(f"| {broker} | {data_type} | `{t}` | {count:,} 건 |")
+    except Exception as e:
+        print(f"| - | - | `{t}` | 에러: {e} |")
+
+db.close()