修正

diagnose_pattern.py

@@ -0,0 +1,150 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+import os
+import sys
+
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'backend'))
+
+os.environ.setdefault("DB_HOST", "localhost")
+os.environ.setdefault("DB_PORT", "5432")
+os.environ.setdefault("DB_NAME", "accounting_db")
+os.environ.setdefault("DB_USER", "postgres")
+os.environ.setdefault("DB_PASSWORD", "root")
+
+from app.core.database import get_connection
+from decimal import Decimal
+
+def diagnose():
+    """診断スクリプト"""
+    
+    with get_connection() as conn:
+        with conn.cursor() as cur:
+            print("=" * 100)
+            print("診断: 2025年6月の701の1,400,000円を探す")
+            print("=" * 100)
+            
+            # 全交易を見る
+            print("\n【 全トランザクション 】")
+            sql = """
+            SELECT 
+                e.journal_entry_id,
+                e.entry_date,
+                e.description,
+                l.credit,
+                e.is_deleted,
+                e.parent_entry_id
+            FROM journal_lines l
+            JOIN journal_entries e ON e.journal_entry_id = l.journal_entry_id
+            WHERE l.account_id = 701
+              AND e.entry_date >= '2025-06-01'
+              AND e.entry_date <= '2025-06-30'
+              AND l.credit > 0
+            ORDER BY e.entry_date, e.journal_entry_id
+            """
+            
+            cur.execute(sql)
+            rows = cur.fetchall()
+            
+            total_credit = Decimal(0)
+            for row in rows:
+                print(f"ID:{row['journal_entry_id']:5d} | {row['entry_date']} | {row['description'][:40]:40s} | " +
+                      f"credit:{row['credit']:>12,.0f} | deleted:{row['is_deleted']} | parent:{row['parent_entry_id']}")
+                total_credit += row['credit']
+            
+            print(f"\n全合計: {total_credit:,.0f}")
+            
+            # [逆仕訳]パターンをテスト
+            print("\n【 逆仕訳の検出複数パターンテスト 】")
+            
+            patterns = [
+                ("%[逆仕訳]%", "LIKE '%[逆仕訳]%'"),
+                ("[逆仕訳]%", "LIKE '[逆仕訳]%'"),
+                ("\\[逆仕訳\\]%", "SIMILAR TO '\\[逆仕訳\\]%'"),
+            ]
+            
+            for pattern, desc in patterns:
+                if "SIMILAR" in desc:
+                    sql = f"""
+                    SELECT COUNT(*) as cnt, COALESCE(SUM(l.credit), 0) as credit
+                    FROM journal_lines l
+                    JOIN journal_entries e ON e.journal_entry_id = l.journal_entry_id
+                    WHERE l.account_id = 701
+                      AND e.entry_date >= '2025-06-01'
+                      AND e.entry_date <= '2025-06-30'
+                      AND e.description SIMILAR TO %s
+                    """
+                else:
+                    sql = f"""
+                    SELECT COUNT(*) as cnt, COALESCE(SUM(l.credit), 0) as credit
+                    FROM journal_lines l
+                    JOIN journal_entries e ON e.journal_entry_id = l.journal_entry_id
+                    WHERE l.account_id = 701
+                      AND e.entry_date >= '2025-06-01'
+                      AND e.entry_date <= '2025-06-30'
+                      AND e.description LIKE %s
+                    """
+                
+                cur.execute(sql, (pattern,))
+                result = cur.fetchone()
+                print(f"{desc:35s} -> cnt:{result['cnt']:2d}, credit:{result['credit']:>12,.0f}")
+            
+            # 1,400,000の交易を特定
+            print("\n【 1,400,000円を探す 】")
+            sql = """
+            SELECT 
+                e.journal_entry_id,
+                e.entry_date,
+                e.description,
+                COALESCE(SUM(l.credit), 0) as total_credit,
+                e.is_deleted,
+                e.parent_entry_id,
+                e.description LIKE '%[逆仕訳]%' as like_pattern,
+                e.description SIMILAR TO '%逆仕%' as contains_gyo,
+                e.description SIMILAR TO '\\[逆仕訳\\]%' as similar_pattern
+            FROM journal_lines l
+            JOIN journal_entries e ON e.journal_entry_id = l.journal_entry_id
+            WHERE l.account_id = 701
+              AND e.entry_date >= '2025-06-01'
+              AND e.entry_date <= '2025-06-30'
+            GROUP BY e.journal_entry_id, e.entry_date, e.description, e.is_deleted, e.parent_entry_id
+            HAVING COALESCE(SUM(l.credit), 0) = 1400000
+            """
+            
+            cur.execute(sql)
+            result = cur.fetchone()
+            
+            if result:
+                print(f"見つかりました！")
+                print(f"  ID: {result['journal_entry_id']}")
+                print(f"  日付: {result['entry_date']}")
+                print(f"  説明: {result['description']}")
+                print(f"  クレジット: {result['total_credit']:,}")
+                print(f"  削除済み: {result['is_deleted']}")
+                print(f"  親ID: {result['parent_entry_id']}")
+                print(f"  LIKE結果: {result['like_pattern']}")
+                print(f"  SIMILAR含む逆仕: {result['contains_gyo']}")
+                print(f"  SIMILAR正規表現: {result['similar_pattern']}")
+            else:
+                print("1,400,000円のクレジット交易は見つかりません")
+                
+                # 他の額を見る
+                print("\n【 クレジット額の分布 】")
+                sql = """
+                SELECT COALESCE(SUM(l.credit), 0) as total_credit, COUNT(*) as cnt
+                FROM journal_lines l
+                JOIN journal_entries e ON e.journal_entry_id = l.journal_entry_id
+                WHERE l.account_id = 701
+                  AND e.entry_date >= '2025-06-01'
+                  AND e.entry_date <= '2025-06-30'
+                GROUP BY e.journal_entry_id
+                ORDER BY total_credit DESC
+                LIMIT 10
+                """
+                
+                cur.execute(sql)
+                for row in cur.fetchall():
+                    print(f"  {row['total_credit']:>12,.0f}")
+
+if __name__ == "__main__":
+    diagnose()