chore: root 경로의 미사용/과거 문서 및 스크립트를 docs/ 하위로 정리 격리

docs/legacy/verify_kis_data.py

@@ -0,0 +1,37 @@
+#!/usr/bin/env python3
+import sqlite3
+from pathlib import Path
+
+db_path = 'src/quant_engine/kis_data_collection.db'
+conn = sqlite3.connect(db_path)
+cursor = conn.cursor()
+
+# 테이블 확인
+cursor.execute("SELECT name FROM sqlite_master WHERE type='table'")
+tables = [row[0] for row in cursor.fetchall()]
+
+print('='*80)
+print('KIS Data Collection DB Status')
+print('='*80)
+print(f'File size: {Path(db_path).stat().st_size / 1024:.2f} KB')
+print(f'Tables: {tables}')
+
+# data_feed 레코드 조회
+if 'data_feed' in tables:
+    cursor.execute('SELECT COUNT(*) FROM data_feed')
+    count = cursor.fetchone()[0]
+    print(f'\ndata_feed table: {count} records')
+
+    # 샘플 출력
+    cursor.execute('''
+        SELECT ticker, name, close_price, entry_date, entry_stage, sector
+        FROM data_feed
+        ORDER BY entry_date DESC
+    ''')
+
+    print('\n[Loaded Records]')
+    for row in cursor.fetchall():
+        ticker, name, price, date, stage, sector = row
+        print(f'  {ticker:8} | {name:15} | {price:>10.0f} KRW | {date} | {stage:4} | {sector}')
+
+conn.close()