84 lines
2.4 KiB
Python
84 lines
2.4 KiB
Python
import psycopg2
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conn = psycopg2.connect(
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host="192.168.0.61",
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port=55432,
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database="njts_acct",
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user="njts_app",
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password="njts_app2025"
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)
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cur = conn.cursor()
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print("=" * 120)
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print("【清理步骤】删除通过复制创建的不正确数据")
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print("=" * 120)
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# 识别所有应该删除的记录：
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# ID 444（7月31日 遠達ビル）- 这是6月数据复制到7月的版本
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# 以及其他类似的复制数据
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delete_list = [
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(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"),
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]
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print("\n识别的应该删除的记录：\n")
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for entry_id, date, description, reason in delete_list:
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print(f"ID={entry_id} | {date} | {description}")
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print(f" 理由: {reason}")
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print()
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# 实际删除之前先验证
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print("\n" + "=" * 120)
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print("【验证】使用DELETE指令删除这些记录")
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print("=" * 120)
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for entry_id, date, description, reason in delete_list:
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print(f"\n删除 ID={entry_id}...")
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# 先删除journal_lines
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cur.execute("DELETE FROM journal_lines WHERE journal_entry_id = %s", (entry_id,))
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lines_deleted = cur.rowcount
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print(f" ✓ journal_lines: {lines_deleted}行删除")
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# 再删除journal_entries
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cur.execute("DELETE FROM journal_entries WHERE journal_entry_id = %s", (entry_id,))
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entries_deleted = cur.rowcount
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print(f" ✓ journal_entries: {entries_deleted}件删除")
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conn.commit()
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print("\n" + "=" * 120)
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print("【完成】数据已删除")
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print("=" * 120)
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# 验证删除结果
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print("\n验证遠達ビル 事務所費用现在的状态：\n")
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cur.execute("""
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SELECT
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je.journal_entry_id,
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je.entry_date,
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je.description,
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COALESCE(SUM(jl.debit), 0) as debit_total,
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COALESCE(SUM(jl.credit), 0) as credit_total
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FROM journal_entries je
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LEFT JOIN journal_lines jl ON je.journal_entry_id = jl.journal_entry_id
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WHERE je.description LIKE '%遠達ビル 事務所費用%'
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AND je.is_deleted = false
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GROUP BY je.journal_entry_id, je.entry_date, je.description
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ORDER BY je.entry_date
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""")
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results = cur.fetchall()
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if results:
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for entry_id, entry_date, description, debit, credit in results:
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print(f"ID={entry_id} | {entry_date} | 借={debit:>10,.0f} 貸={credit:>10,.0f}")
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else:
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print("未找到遠達ビル相关记录（或全部已删除）")
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cur.close()
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conn.close()
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print("\n✓ 操作完成")
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