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144
find_duplicates_in_same_month.py
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144
find_duplicates_in_same_month.py
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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("【方法3：在7月/8月中，同一月份有多个相同描述和金额的仕訳】")
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print("=" * 160)
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print("\n这种情况通常表示错误的重复输入，应该保留1条，删除其余\n")
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# 找出在7月/8月中，同一月份有多个相同描述和金额的仕訳
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cur.execute("""
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WITH july_august_with_counts 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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EXTRACT(MONTH FROM je.entry_date)::INT as month,
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je.description,
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COALESCE(SUM(jl.debit), 0)::BIGINT as total_debit,
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COALESCE(SUM(jl.credit), 0)::BIGINT as total_credit,
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ROW_NUMBER() OVER (PARTITION BY EXTRACT(MONTH FROM je.entry_date), je.description,
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COALESCE(SUM(jl.debit), 0), COALESCE(SUM(jl.credit), 0)
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ORDER BY je.journal_entry_id) as rn,
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COUNT(*) OVER (PARTITION BY EXTRACT(MONTH FROM je.entry_date), je.description,
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COALESCE(SUM(jl.debit), 0), COALESCE(SUM(jl.credit), 0)) as cnt
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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 = false
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AND je.is_latest = true
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AND EXTRACT(YEAR FROM je.entry_date) = 2025
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AND EXTRACT(MONTH FROM je.entry_date) IN (7, 8)
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GROUP BY je.journal_entry_id, je.entry_date, je.description
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)
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SELECT
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month,
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description,
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total_debit,
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total_credit,
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cnt,
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STRING_AGG(journal_entry_id::TEXT || '(' || TO_CHAR(entry_date, 'MM-DD') || ')',
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', ' ORDER BY journal_entry_id) as ids
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FROM july_august_with_counts
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WHERE cnt > 1
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GROUP BY month, description, total_debit, total_credit, cnt
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ORDER BY cnt DESC, month, description
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""")
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duplicates_in_month = cur.fetchall()
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print(f"找到 {len(duplicates_in_month)} 个在同一月份有重复的仕訳模式\n")
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duplicates_for_deletion = []
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for month, description, debit, credit, cnt, ids in duplicates_in_month:
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print(f"【{cnt}重複！】{month}月 | 借={debit:>12,} 貸={credit:>12,}")
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print(f" 説明: {description}")
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print(f" IDs: {ids}")
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print()
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# 对于每个重复的模式，删除除了第一个外的其他记录
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cur.execute("""
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WITH duplicates AS (
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SELECT
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je.journal_entry_id,
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ROW_NUMBER() OVER (PARTITION BY EXTRACT(MONTH FROM je.entry_date), je.description,
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COALESCE(SUM(jl.debit), 0), COALESCE(SUM(jl.credit), 0)
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ORDER BY je.journal_entry_id) as rn
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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 = false
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AND je.is_latest = true
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AND EXTRACT(YEAR FROM je.entry_date) = 2025
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AND EXTRACT(MONTH FROM je.entry_date) = %s
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AND je.description = %s
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GROUP BY je.journal_entry_id, je.entry_date, je.description
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)
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SELECT journal_entry_id FROM duplicates WHERE rn > 1
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ORDER BY journal_entry_id
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""", (month, description))
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to_delete = cur.fetchall()
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for (entry_id,) in to_delete:
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duplicates_for_deletion.append(entry_id)
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print(f" ├─ 删除: ID={entry_id}")
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print("\n" + "=" * 160)
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print(f"【汇总】共 {len(duplicates_for_deletion)} 条重复记录需要删除")
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print("=" * 160)
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if duplicates_for_deletion:
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print(f"\n要删除的IDs: {duplicates_for_deletion}")
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# 计算删除影响
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cur.execute("""
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SELECT
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COALESCE(SUM(COALESCE(jl.debit, 0) - COALESCE(jl.credit, 0)), 0) as balance
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FROM journal_lines jl
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INNER JOIN journal_entries je ON jl.journal_entry_id = je.journal_entry_id
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WHERE jl.account_id = 2
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AND je.is_deleted = false
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AND je.is_latest = true
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""")
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current_balance = cur.fetchone()[0]
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print(f"\n删除前普通預金期末残高: {current_balance:>15,.0f}円")
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# 计算影响
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deletion_impact = 0
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for entry_id in duplicates_for_deletion:
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cur.execute("""
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SELECT COALESCE(SUM(COALESCE(jl.debit, 0) - COALESCE(jl.credit, 0)), 0)
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FROM journal_lines jl
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WHERE jl.journal_entry_id = %s
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AND jl.account_id = 2
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""", (entry_id,))
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impact = cur.fetchone()[0]
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deletion_impact += impact
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expected_after = current_balance - deletion_impact
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print(f"普通預金的总变化: -{deletion_impact:>15,.0f}円")
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print(f"删除后普通預金期末残高: {expected_after:>15,.0f}円")
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print(f"\n期望目标值: 14,916,322円")
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if expected_after == 14_916_322:
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print(f"✓ 完美匹配！")
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else:
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diff = 14_916_322 - expected_after
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if diff > 0:
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print(f"∆ 删除后仍低于目标: {diff:>15,.0f}円")
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else:
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print(f"∆ 删除后高于目标: {-diff:>15,.0f}円")
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else:
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print("\n没有找到单月内的重复记录")
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cur.close()
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conn.close()
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