修正

cleanup_duplicate_data.py

@@ -0,0 +1,83 @@
+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")