126 lines
4.2 KiB
Python
126 lines
4.2 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("=" * 160)
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print("【要确认的关键仕訳】")
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print("=" * 160)
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# 查询ID 444和445的current状态
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for entry_id in [444, 445]:
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print(f"\n--- ID={entry_id} ---")
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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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je.is_latest,
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je.is_deleted,
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COALESCE(SUM(jl.debit), 0) as debit,
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COALESCE(SUM(jl.credit), 0) as credit
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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.journal_entry_id = %s
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GROUP BY je.journal_entry_id, je.entry_date, je.description, je.is_latest, je.is_deleted
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""", (entry_id,))
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result = cur.fetchone()
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if result:
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je_id, date, desc, is_latest, is_deleted, debit, credit = result
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print(f"日付: {date}")
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print(f"摘要: {desc}")
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print(f"is_latest: {is_latest}, is_deleted: {is_deleted}")
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print(f"仕訳: 借={debit:>12,.0f} 貸={credit:>12,.0f}")
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else:
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print("存在しません")
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# 查询所有is_deleted=true但金额较大的仕订
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print("\n" + "=" * 160)
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print("【削除済みの大きい仕訳（is_deleted=true）】")
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print("=" * 160)
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cur.execute("""
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WITH deleted_with_impact AS (
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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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je.is_latest,
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COALESCE(SUM(jl.debit), 0) as total_debit,
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COALESCE(SUM(jl.credit), 0) as total_credit,
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COALESCE(SUM(CASE WHEN jl.account_id = 2 THEN jl.debit - jl.credit ELSE 0 END), 0) as bank_impact
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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.is_deleted = true
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AND EXTRACT(YEAR FROM je.entry_date) = 2025
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GROUP BY je.journal_entry_id, je.entry_date, je.description, je.is_latest
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)
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SELECT *
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FROM deleted_with_impact
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WHERE ABS(total_debit - total_credit) > 100000
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ORDER BY ABS(bank_impact) DESC
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LIMIT 20
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""")
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deleted_entries = cur.fetchall()
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print(f"\n金額100万以上が削除（最大20件）：\n")
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for je_id, date, desc, is_latest, debit, credit, bank_impact in deleted_entries:
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print(f"ID={je_id:3d} | {date} | 借={debit:>12,.0f} 貸={credit:>12,.0f} | 普通預金への影响={bank_impact:>12,.0f}円")
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print(f" └─ {desc[:80]}")
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print("\n" + "=" * 160)
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print("【復旧すべき削除仕訳の推奨】")
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print("=" * 160)
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# 計算期待値とのギャップ
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target_balance = 14_916_322
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current_balance = 11_685_193
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gap = target_balance - current_balance
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print(f"\n期望値: {target_balance:>15,.0f}円")
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print(f"現在値: {current_balance:>15,.0f}円")
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print(f"ギャップ: {gap:>15,.0f}円")
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if gap > 0:
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print(f"\n→ {gap:,}円分の入金（または出金削減）が必要")
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# 找出删除的仕訳中，哪些恢复后能接近目标
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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(CASE WHEN jl.account_id = 2 THEN jl.debit - jl.credit ELSE 0 END), 0) as bank_impact
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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.is_deleted = true
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AND EXTRACT(YEAR FROM je.entry_date) = 2025
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AND je.is_latest = true
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GROUP BY je.journal_entry_id, je.entry_date, je.description
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ORDER BY bank_impact DESC
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""")
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restored_balance = current_balance
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print(f"\n削除済みの仕訳を復旧した場合のシミュレーション：\n")
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for je_id, date, desc, impact in cur.fetchall():
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if impact != 0:
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restored_balance += impact
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print(f"ID={je_id:3d}: {date} | impact={impact:>12,.0f} → balance={restored_balance:>12,.0f}")
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if abs(restored_balance - target_balance) < abs(current_balance - target_balance):
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print(f" ✓ これを復旧すると目標値に近くなります")
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cur.close()
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conn.close()
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