54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
#!/usr/bin/env python3
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import psycopg
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try:
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conn = psycopg.connect(
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host='192.168.0.61',
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port=55432,
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dbname='njts_acct',
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user='njts_app',
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password='njts_app2025'
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)
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with conn.cursor() as cur:
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# 查看 journal_entries 表的所有列
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cur.execute("""
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SELECT column_name, data_type
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FROM information_schema.columns
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WHERE table_name = 'journal_entries'
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ORDER BY ordinal_position
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""")
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cols = cur.fetchall()
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print("journal_entries 表的所有列：")
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print("-" * 50)
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for col in cols:
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print(f'{col[0]:25} {col[1]}')
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print("\n版本追踪字段检查：")
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print("-" * 50)
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cur.execute("""
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SELECT COUNT(*) as cnt
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FROM information_schema.columns
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WHERE table_name = 'journal_entries'
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AND column_name IN ('is_latest', 'revision_count', 'original_entry_id')
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""")
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count = cur.fetchone()[0]
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print(f"版本追踪字段存在: {count}/3")
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# 检查 test元 的数据
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print("\n【test元】仕訳数据检查：")
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print("-" * 50)
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cur.execute("""
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SELECT journal_entry_id, entry_date, description,
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is_latest, revision_count, original_entry_id
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FROM journal_entries
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WHERE description LIKE '%test%'
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ORDER BY journal_entry_id
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""")
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rows = cur.fetchall()
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for row in rows:
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print(row)
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conn.close()
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except Exception as e:
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print(f'错误: {e}')
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