給与管理システム新規作成

backend/check_precision.py

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+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()