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