import sqlite3
from pathlib import Path

db_path = Path.home() / '.openclaw' / 'memory.db'
if db_path.exists():
    conn = sqlite3.connect(str(db_path))
    cursor = conn.cursor()

    # Get embedding count
    cursor.execute("SELECT COUNT(*) FROM memory_embeddings")
    count = cursor.fetchone()[0]
    print(f"[OK] Vector embeddings: {count}")

    # Get recent entries
    cursor.execute("SELECT COUNT(*) FROM memory_entries")
    entries = cursor.fetchone()[0]
    print(f"[OK] Memory entries: {entries}")

    # Check DB size
    size_kb = db_path.stat().st_size / 1024
    print(f"[OK] DB size: {size_kb:.1f} KB")

    # Show recent embeddings
    cursor.execute("SELECT source_path, created_at FROM memory_embeddings ORDER BY created_at DESC LIMIT 5")
    print("\nRecent embeddings:")
    for row in cursor.fetchall():
        print(f"  - {row[0]} ({row[1]})")

    conn.close()
else:
    print("[ERR] Database not found")