import psycopg2

conn = psycopg2.connect(
    host="192.168.0.61",
    port=55432,
    database="njts_acct",
    user="njts_app",
    password="njts_app2025"
)

cur = conn.cursor()

print("=" * 120)
print("【清理步骤】删除通过复制创建的不正确数据")
print("=" * 120)

# 识别所有应该删除的记录：
# ID 444（7月31日 遠達ビル）- 这是6月数据复制到7月的版本
# 以及其他类似的复制数据

delete_list = [
    (444, "2025-07-31", "遠達ビル 事務所費用", "6月原始数据的7月复制版"),
]

print("\n识别的应该删除的记录：\n")
for entry_id, date, description, reason in delete_list:
    print(f"ID={entry_id} | {date} | {description}")
    print(f"  理由: {reason}")
    print()

# 实际删除之前先验证
print("\n" + "=" * 120)
print("【验证】使用DELETE指令删除这些记录")
print("=" * 120)

for entry_id, date, description, reason in delete_list:
    print(f"\n删除 ID={entry_id}...")
    
    # 先删除journal_lines
    cur.execute("DELETE FROM journal_lines WHERE journal_entry_id = %s", (entry_id,))
    lines_deleted = cur.rowcount
    print(f"  ✓ journal_lines: {lines_deleted}行删除")
    
    # 再删除journal_entries
    cur.execute("DELETE FROM journal_entries WHERE journal_entry_id = %s", (entry_id,))
    entries_deleted = cur.rowcount
    print(f"  ✓ journal_entries: {entries_deleted}件删除")

conn.commit()

print("\n" + "=" * 120)
print("【完成】数据已删除")
print("=" * 120)

# 验证删除结果
print("\n验证遠達ビル 事務所費用现在的状态：\n")

cur.execute("""
    SELECT 
        je.journal_entry_id,
        je.entry_date,
        je.description,
        COALESCE(SUM(jl.debit), 0) as debit_total,
        COALESCE(SUM(jl.credit), 0) as credit_total
    FROM journal_entries je
    LEFT JOIN journal_lines jl ON je.journal_entry_id = jl.journal_entry_id
    WHERE je.description LIKE '%遠達ビル 事務所費用%'
      AND je.is_deleted = false
    GROUP BY je.journal_entry_id, je.entry_date, je.description
    ORDER BY je.entry_date
""")

results = cur.fetchall()
if results:
    for entry_id, entry_date, description, debit, credit in results:
        print(f"ID={entry_id} | {entry_date} | 借={debit:>10,.0f}  貸={credit:>10,.0f}")
else:
    print("未找到遠達ビル相关记录（或全部已删除）")

cur.close()
conn.close()

print("\n✓ 操作完成")