import sqlalchemy
from sqlalchemy import text
import json

# Connection details from .env
DB_USER = "aether_dev"
DB_PASS = "$1sky.AE_dev.2023"
DB_SERVER = "vpn-db.oneskyit.com"
DB_PORT = "3306"
DB_NAME = "aether_dev"

# Construct URI
DB_URI = f"mysql://{DB_USER}:{DB_PASS}@{DB_SERVER}:{DB_PORT}/{DB_NAME}"

def test_raw_describe():
    engine = sqlalchemy.create_engine(DB_URI)
    print(f"Connecting to {DB_SERVER}...")
    
    try:
        with engine.connect() as conn:
            result = conn.execute(text("DESCRIBE journal"))
            columns = []
            for row in result.fetchall():
                columns.append({
                    "Field": row[0],
                    "Type": row[1],
                    "Null": row[2],
                    "Default": row[4]
                })
            
            # Print as a nice JSON snippet
            print("\n--- Raw DB Metadata for 'journal' (Sample) ---")
            print(json.dumps(columns[:5], indent=2))
            
            # Highlight the specific fields mentioned in the task
            print("\n--- Target Fields ---")
            targets = ["name", "enable", "passcode_timeout", "created_on"]
            for col in columns:
                if col["Field"] in targets:
                    print(f"Field: {col['Field']:16} | Type: {col['Type']:15} | Null: {col['Null']:3} | Default: {col['Default']}")

    except Exception as e:
        print(f"Error: {e}")

if __name__ == "__main__":
    test_raw_describe()