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

scratch/check_tick_normalize2.py

@@ -0,0 +1,39 @@
+import sys
+sys.path.insert(0, '.')
+from database import TradeDB
+
+db = TradeDB()
+try:
+    # 07일 날짜로 시간대별 확인 - tick_time 형식: 20260807HHMMSS
+    rows = db.conn.execute(
+        """
+        SELECT 
+            SUBSTR(tick_time, 9, 2) as hh,
+            source,
+            COUNT(*) as cnt
+        FROM ws_ticks
+        WHERE market='KR' AND tick_time >= '20260807090000' AND tick_time <= '20260807160000'
+        GROUP BY SUBSTR(tick_time, 9, 2), source
+        ORDER BY hh ASC, source ASC
+        """,
+    ).fetchall()
+    
+    print("[20260807 장중 시간대별 틱 건수]")
+    for r in rows:
+        print(f"  {dict(r)['hh']}시 | {dict(r).get('source','?'):6s} | {dict(r)['cnt']:,}건")
+    
+    # 어제 어디서 데이터가 얼마나 있는지 전체
+    total_rows = db.conn.execute(
+        """
+        SELECT source, COUNT(*) as cnt
+        FROM ws_ticks
+        WHERE market='KR' AND tick_time >= '20260807090000' AND tick_time <= '20260807160000'
+        GROUP BY source
+        """,
+    ).fetchall()
+    print("\n[전체 소스별]")
+    for r in total_rows:
+        print(f"  {dict(r).get('source','?'):6s}: {dict(r)['cnt']:,}건")
+        
+finally:
+    db.close()