import os
import psycopg2
from dotenv import load_dotenv

# Load environment variables from root .env
root_env = os.path.join(os.path.dirname(os.path.dirname(__file__)), '.env')
load_dotenv(root_env)

# Connect to database
conn = psycopg2.connect(
    host=os.getenv('DB_HOST', '192.168.0.61'),
    port=os.getenv('DB_PORT', '55432'),
    dbname=os.getenv('DB_NAME', 'njts_acct'),
    user=os.getenv('DB_USER', 'njts_app'),
    password=os.getenv('DB_PASSWORD')
)

cur = conn.cursor()

# Check current column precision
cur.execute("""
    SELECT column_name, data_type, numeric_precision, numeric_scale 
    FROM information_schema.columns 
    WHERE table_name='insurance_rates' 
    AND column_name IN ('employee_rate', 'employer_rate') 
    ORDER BY column_name
""")

print("insurance_rates カラムの現在の精度:")
for row in cur.fetchall():
    print(f"  {row[0]}: {row[1]}({row[2]},{row[3]})")

# Check child_support_contribution_rates
cur.execute("""
    SELECT column_name, data_type, numeric_precision, numeric_scale 
    FROM information_schema.columns 
    WHERE table_name='child_support_contribution_rates' 
    AND column_name = 'contribution_rate'
""")

print("\nchild_support_contribution_rates カラムの現在の精度:")
for row in cur.fetchall():
    print(f"  {row[0]}: {row[1]}({row[2]},{row[3]})")

# Check actual data
cur.execute("""
    SELECT rate_year, rate_type, calculation_target, prefecture, 
           employee_rate, employer_rate
    FROM insurance_rates 
    WHERE rate_year = 2025 AND rate_type = '健康保険'
    LIMIT 3
""")

print("\n実際のデータ (2025年健康保険):")
for row in cur.fetchall():
    print(f"  {row[0]} {row[1]} {row[2]} {row[3]}: 従業員={row[4]} 会社={row[5]}")

cur.close()
conn.close()