fix: address account valuation review findings

jarca_ledger_mcp/application/uncategorized_workbench_service.py

@@ -4,6 +4,8 @@ from .shared import (
     Any,
     datetime,
     db,
+    read_db,
+    read_operation,
     fail,
     now_iso,
     ok,
@@ -42,14 +44,16 @@ def _rule_matches(rule: dict[str, Any], tx: dict[str, Any]) -> bool:
         return re.search(pattern, value) is not None
     return False
 
+@read_operation
 def list_uncategorized_transactions(limit: int = 100, min_amount: int = 0, db_path: str | None = None) -> dict[str, Any]:
-    with db(db_path) as conn:
+    with read_db(db_path) as conn:
         rows=conn.execute("""SELECT * FROM transactions WHERE status='active' AND COALESCE(category,'')='' AND amount>=? ORDER BY amount DESC, transaction_datetime DESC LIMIT ?""", (int(min_amount), max(1,min(int(limit),1000)))).fetchall()
     return ok(transactions=[row_to_dict(r) for r in rows], count=len(rows))
 
 
+@read_operation
 def get_uncategorized_merchant_summary(limit: int = 50, db_path: str | None = None) -> dict[str, Any]:
-    with db(db_path) as conn:
+    with read_db(db_path) as conn:
         rows=conn.execute("""SELECT merchant, raw_summary, type, COUNT(*) count, SUM(amount) total_amount, MAX(amount) max_amount
                              FROM transactions WHERE status='active' AND COALESCE(category,'')=''
                              GROUP BY merchant, raw_summary, type ORDER BY total_amount DESC LIMIT ?""", (max(1,min(int(limit),500)),)).fetchall()
@@ -90,6 +94,7 @@ def _recommend_category_for_transaction(tx: dict[str, Any], rules: list[dict[str
     return {"category": "", "subcategory": "", "confidence": 0.0, "source": "none", "reason": "추천 근거 없음", "rule_id": ""}
 
 
+@read_operation
 def get_uncategorized_workbench(
     limit: int = 100,
     min_amount: int = 0,
@@ -103,7 +108,7 @@ def get_uncategorized_workbench(
         "date_desc": "transaction_datetime DESC, transaction_date DESC, created_at DESC, amount DESC",
     }
     order_by = order_by_map.get(sort_by, order_by_map["amount_desc"])
-    with db(db_path) as conn:
+    with read_db(db_path) as conn:
         tx_rows = [row_to_dict(r) for r in conn.execute(
             f"""SELECT id, transaction_date, transaction_datetime, type, amount, currency, merchant, raw_summary,
                       counterparty, account_id, payment_method, person, is_fixed, source, memo, created_at
@@ -172,7 +177,7 @@ def get_uncategorized_workbench(
             group["recommendation"] = rec
 
     group_items = sorted(groups.values(), key=lambda g: (int(g["count"]), int(g["total_amount"])), reverse=True)
-    with db(db_path) as conn:
+    with read_db(db_path) as conn:
         txs = attach_review_decisions(conn, txs, "uncategorized_transaction", "id")
     recommendable_count = sum(1 for tx in txs if tx.get("recommended_category"))
     repeated_group_count = sum(1 for g in group_items if int(g.get("count") or 0) >= 2)