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

scratch/check_tick_normalize.py

@@ -0,0 +1,35 @@
+import sys
+sys.path.insert(0, '.')
+from database import TradeDB
+
+db = TradeDB()
+try:
+    # ws_ticks 컬럼 확인 완료 - tick_time 기반으로 오늘 조회
+    # tick_time 형식 확인
+    sample = db.conn.execute(
+        "SELECT tick_time, source FROM ws_ticks WHERE market='KR' ORDER BY id DESC LIMIT 5"
+    ).fetchall()
+    print("샘플:", [dict(r) for r in sample])
+    
+    # 오늘 20260808 시간대별 건수 - tick_time으로 필터
+    rows = db.conn.execute(
+        """
+        SELECT 
+            SUBSTR(tick_time, 1, 11) as hhmm10,
+            source,
+            COUNT(*) as cnt
+        FROM ws_ticks
+        WHERE market='KR' AND tick_time LIKE %s
+        GROUP BY SUBSTR(tick_time, 1, 11), source
+        ORDER BY hhmm10 ASC
+        LIMIT 100
+        """,
+        ('20260808%',)
+    ).fetchall()
+    
+    print(f"\n[20260808] 시간대별 틱 적재 현황 (10분 단위):")
+    for r in rows:
+        print(f"  {dict(r)['hhmm10']} | {dict(r).get('source','?'):6s} | {dict(r)['cnt']:,}건")
+        
+finally:
+    db.close()