151 lines
6.1 KiB
Python
151 lines
6.1 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import os
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import sys
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'backend'))
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os.environ.setdefault("DB_HOST", "localhost")
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os.environ.setdefault("DB_PORT", "5432")
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os.environ.setdefault("DB_NAME", "accounting_db")
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os.environ.setdefault("DB_USER", "postgres")
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os.environ.setdefault("DB_PASSWORD", "root")
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from app.core.database import get_connection
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from decimal import Decimal
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def diagnose():
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"""診断スクリプト"""
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with get_connection() as conn:
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with conn.cursor() as cur:
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print("=" * 100)
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print("診断: 2025年6月の701の1,400,000円を探す")
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print("=" * 100)
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# 全交易を見る
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print("\n【 全トランザクション 】")
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sql = """
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SELECT
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e.journal_entry_id,
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e.entry_date,
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e.description,
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l.credit,
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e.is_deleted,
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e.parent_entry_id
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FROM journal_lines l
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JOIN journal_entries e ON e.journal_entry_id = l.journal_entry_id
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WHERE l.account_id = 701
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AND e.entry_date >= '2025-06-01'
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AND e.entry_date <= '2025-06-30'
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AND l.credit > 0
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ORDER BY e.entry_date, e.journal_entry_id
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"""
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cur.execute(sql)
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rows = cur.fetchall()
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total_credit = Decimal(0)
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for row in rows:
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print(f"ID:{row['journal_entry_id']:5d} | {row['entry_date']} | {row['description'][:40]:40s} | " +
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f"credit:{row['credit']:>12,.0f} | deleted:{row['is_deleted']} | parent:{row['parent_entry_id']}")
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total_credit += row['credit']
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print(f"\n全合計: {total_credit:,.0f}")
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# [逆仕訳]パターンをテスト
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print("\n【 逆仕訳の検出複数パターンテスト 】")
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patterns = [
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("%[逆仕訳]%", "LIKE '%[逆仕訳]%'"),
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("[逆仕訳]%", "LIKE '[逆仕訳]%'"),
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("\\[逆仕訳\\]%", "SIMILAR TO '\\[逆仕訳\\]%'"),
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]
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for pattern, desc in patterns:
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if "SIMILAR" in desc:
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sql = f"""
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SELECT COUNT(*) as cnt, COALESCE(SUM(l.credit), 0) as credit
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FROM journal_lines l
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JOIN journal_entries e ON e.journal_entry_id = l.journal_entry_id
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WHERE l.account_id = 701
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AND e.entry_date >= '2025-06-01'
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AND e.entry_date <= '2025-06-30'
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AND e.description SIMILAR TO %s
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"""
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else:
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sql = f"""
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SELECT COUNT(*) as cnt, COALESCE(SUM(l.credit), 0) as credit
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FROM journal_lines l
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JOIN journal_entries e ON e.journal_entry_id = l.journal_entry_id
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WHERE l.account_id = 701
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AND e.entry_date >= '2025-06-01'
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AND e.entry_date <= '2025-06-30'
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AND e.description LIKE %s
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"""
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cur.execute(sql, (pattern,))
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result = cur.fetchone()
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print(f"{desc:35s} -> cnt:{result['cnt']:2d}, credit:{result['credit']:>12,.0f}")
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# 1,400,000の交易を特定
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print("\n【 1,400,000円を探す 】")
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sql = """
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SELECT
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e.journal_entry_id,
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e.entry_date,
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e.description,
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COALESCE(SUM(l.credit), 0) as total_credit,
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e.is_deleted,
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e.parent_entry_id,
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e.description LIKE '%[逆仕訳]%' as like_pattern,
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e.description SIMILAR TO '%逆仕%' as contains_gyo,
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e.description SIMILAR TO '\\[逆仕訳\\]%' as similar_pattern
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FROM journal_lines l
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JOIN journal_entries e ON e.journal_entry_id = l.journal_entry_id
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WHERE l.account_id = 701
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AND e.entry_date >= '2025-06-01'
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AND e.entry_date <= '2025-06-30'
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GROUP BY e.journal_entry_id, e.entry_date, e.description, e.is_deleted, e.parent_entry_id
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HAVING COALESCE(SUM(l.credit), 0) = 1400000
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"""
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cur.execute(sql)
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result = cur.fetchone()
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if result:
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print(f"見つかりました！")
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print(f" ID: {result['journal_entry_id']}")
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print(f" 日付: {result['entry_date']}")
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print(f" 説明: {result['description']}")
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print(f" クレジット: {result['total_credit']:,}")
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print(f" 削除済み: {result['is_deleted']}")
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print(f" 親ID: {result['parent_entry_id']}")
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print(f" LIKE結果: {result['like_pattern']}")
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print(f" SIMILAR含む逆仕: {result['contains_gyo']}")
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print(f" SIMILAR正規表現: {result['similar_pattern']}")
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else:
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print("1,400,000円のクレジット交易は見つかりません")
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# 他の額を見る
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print("\n【 クレジット額の分布 】")
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sql = """
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SELECT COALESCE(SUM(l.credit), 0) as total_credit, COUNT(*) as cnt
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FROM journal_lines l
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JOIN journal_entries e ON e.journal_entry_id = l.journal_entry_id
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WHERE l.account_id = 701
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AND e.entry_date >= '2025-06-01'
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AND e.entry_date <= '2025-06-30'
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GROUP BY e.journal_entry_id
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ORDER BY total_credit DESC
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LIMIT 10
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"""
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cur.execute(sql)
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for row in cur.fetchall():
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print(f" {row['total_credit']:>12,.0f}")
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if __name__ == "__main__":
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diagnose()
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