feat(Core/UI): 백테스트 전역 엔진 선택 버튼 추가 및 스캘핑 Rust 방어로직 포팅 1차 완료

scratch/check_db_proper.py

@@ -0,0 +1,51 @@
+import sys
+import os
+sys.path.append(os.path.dirname(os.path.abspath(__file__)) + '/..')
+from database import TradeDB
+
+db = TradeDB()
+try:
+    print("[LS Universe History Cols]")
+    cols_lu = [dict(r)["Field"] for r in db.conn.execute("SHOW COLUMNS FROM ls_universe_history").fetchall()]
+    print(cols_lu)
+    
+    date_col_lu = 'scan_time' if 'scan_time' in cols_lu else ('created_at' if 'created_at' in cols_lu else 'ts')
+    lu_data = db.conn.execute(f"SELECT * FROM ls_universe_history WHERE date({date_col_lu}) = '2026-08-31'").fetchall()
+    print(f"LS Universe count for today: {len(lu_data)}")
+    if len(lu_data) > 0:
+        print("Sample:", dict(lu_data[-1]))
+
+    print("\n[Target Candidates History Cols]")
+    cols_tc = [dict(r)["Field"] for r in db.conn.execute("SHOW COLUMNS FROM target_candidates_history").fetchall()]
+    print(cols_tc)
+    
+    date_col_tc = 'scan_time' if 'scan_time' in cols_tc else ('created_at' if 'created_at' in cols_tc else 'ts')
+    tc_data = db.conn.execute(f"SELECT * FROM target_candidates_history WHERE date({date_col_tc}) = '2026-08-31'").fetchall()
+    print(f"Target Candidates count for today: {len(tc_data)}")
+
+    print("\n[WS Orderbook Cols]")
+    cols_ob = [dict(r)["Field"] for r in db.conn.execute("SHOW COLUMNS FROM ws_orderbook").fetchall()]
+    print(cols_ob)
+    
+    ts_col = 'ts' if 'ts' in cols_ob else ('timestamp' if 'timestamp' in cols_ob else 'snap_time')
+    
+    zeros = db.conn.execute(f"""
+        SELECT count(*) as c 
+        FROM ws_orderbook 
+        WHERE date({ts_col}) = '2026-08-31' 
+        AND (total_bid_qty = 0 OR total_ask_qty = 0 OR best_bid = 0 OR best_ask = 0)
+    """).fetchone()
+    print("Zeros count in KIS orderbook:", dict(zeros))
+
+    sample_zero = db.conn.execute(f"""
+        SELECT *
+        FROM ws_orderbook 
+        WHERE date({ts_col}) = '2026-08-31' 
+        AND (total_bid_qty = 0 OR total_ask_qty = 0 OR best_bid = 0 OR best_ask = 0)
+        LIMIT 1
+    """).fetchone()
+    if sample_zero:
+        print("Sample Zero:", dict(sample_zero))
+
+finally:
+    db.close()