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

scratch/fast_db_stats.py

@@ -0,0 +1,50 @@
+import sys
+from pathlib import Path
+sys.path.append(str(Path(__file__).resolve().parent.parent))
+from database import TradeDB
+
+db = TradeDB()
+
+tables = [
+    ("공통", "매매내역", "trade_history"),
+    ("한국투자증권(KIS) / 키움", "실시간 체결 틱", "ws_ticks"),
+    ("한국투자증권(KIS) / 키움", "실시간 캔들 (분봉)", "ws_candles"),
+    ("한국투자증권(KIS) / 키움", "호가 스냅샷 (Orderbook)", "ws_orderbook"),
+    ("한국투자증권(KIS) / 키움", "호가 스냅샷 (Orderbook)", "kis_ws_orderbook"),
+    ("LS증권", "실시간 체결 틱", "ls_ws_ticks"),
+    ("LS증권", "실시간 캔들 (분봉)", "ls_ws_candles"),
+    ("LS증권", "호가 스냅샷 (Orderbook)", "ls_ws_orderbook"),
+]
+
+print("| 증권사 | 데이터 유형 | 테이블명 | 2026-08-11 당일 적재 건수 |")
+print("|---|---|---|---|")
+
+today_start = '20260811000000'
+today_end = '20260812000000'
+
+for broker, ttype, table in tables:
+    try:
+        cols = [dict(r)["Field"] for r in db.conn.execute(f"SHOW COLUMNS FROM {table}").fetchall()]
+        
+        time_col = None
+        if "timestamp" in cols:
+            time_col = "timestamp"
+        elif "recv_ts" in cols:
+            time_col = "recv_ts"
+        elif "created_at" in cols:
+            time_col = "created_at"
+            
+        if time_col:
+            sql = f"SELECT COUNT(*) as c FROM {table} WHERE {time_col} >= %s AND {time_col} < %s"
+            c = db.conn.execute(sql, (today_start, today_end)).fetchone()["c"]
+        else:
+            c = "에러: 시간 컬럼 없음"
+            
+        if isinstance(c, int):
+            print(f"| {broker} | {ttype} | `{table}` | {c:,} 건 |")
+        else:
+            print(f"| {broker} | {ttype} | `{table}` | {c} |")
+    except Exception as e:
+        print(f"| {broker} | {ttype} | `{table}` | 에러: {e} |")
+
+db.close()