import psycopg2 conn = psycopg2.connect( host="192.168.0.61", port=55432, database="njts_acct", user="njts_app", password="njts_app2025" ) cur = conn.cursor() # 查找所有"遠達ビル 事務所費用"相关的仕訳 print("=" * 100) print("全期間の遠達ビル 事務所費用 相關仕訳") print("=" * 100) cur.execute(""" SELECT je.journal_entry_id, je.entry_date, je.description, je.revision_count, je.is_latest, je.is_deleted, je.original_entry_id, 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%' GROUP BY je.journal_entry_id, je.entry_date, je.description, je.revision_count, je.is_latest, je.is_deleted, je.original_entry_id ORDER BY je.journal_entry_id ASC """) results = cur.fetchall() if results: for entry_id, entry_date, description, rev_count, is_latest, is_deleted, original_id, debit, credit in results: deleted_mark = "【削除】" if is_deleted else " " latest_mark = "✓" if is_latest else "✗" print(f"ID={entry_id:3d} {entry_date} {deleted_mark} [{latest_mark}v{rev_count}] original_id={original_id} | 借={debit:>10,.0f} 貸={credit:>10,.0f} | {description}") # 特に、最新版(is_latest=true && is_deleted=false)を検出 print("\n" + "=" * 100) print("試算表に計上されるべき仕訳 (is_latest=true AND is_deleted=false)") print("=" * 100) cur.execute(""" SELECT je.journal_entry_id, je.entry_date, je.description, je.revision_count, 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_latest = true AND je.is_deleted = false GROUP BY je.journal_entry_id, je.entry_date, je.description, je.revision_count ORDER BY je.journal_entry_id ASC """) results2 = cur.fetchall() if results2: for entry_id, entry_date, description, rev_count, debit, credit in results2: print(f"ID={entry_id} {entry_date} v{rev_count} | 借={debit:>10,.0f} 貸={credit:>10,.0f} | {description}") else: print("該当データなし(正常)") cur.close() conn.close()