feat: modularize dashboard pages

dashboard/page_views/transactions.py

@@ -0,0 +1,41 @@
+from __future__ import annotations
+
+# ruff: noqa: F405
+
+
+import streamlit as st
+
+from dashboard.common import *  # noqa: F403, F405
+
+def page_transactions(db_path: str) -> None:
+    category_options, _ = get_category_options(db_path)
+    people_df = read_sql(db_path, "SELECT DISTINCT person FROM transactions WHERE status='active' AND person<>'' ORDER BY person")
+    people = people_df["person"].tolist() if not people_df.empty else []
+    col1, col2, col3, col4, col5 = st.columns(5)
+    start = col1.date_input("시작일", value=None)
+    end = col2.date_input("종료일", value=None)
+    category = col3.selectbox("카테고리", ["전체"] + [c for c in category_options if c])
+    person = col4.selectbox("인원", ["전체"] + people)
+    text = col5.text_input("사용처 검색")
+    clauses = ["t.status='active'"]
+    params: list[Any] = []
+    if start:
+        clauses.append("t.transaction_date>=?"); params.append(str(start))
+    if end:
+        clauses.append("t.transaction_date<=?"); params.append(str(end))
+    if category != "전체":
+        clauses.append("t.category=?"); params.append(category)
+    if person != "전체":
+        clauses.append("t.person=?"); params.append(person)
+    if text:
+        clauses.append("t.merchant LIKE ?"); params.append(f"%{text}%")
+    df = transaction_df(db_path, "WHERE " + " AND ".join(clauses), tuple(params), limit=2000)
+    st.dataframe(df.drop(columns=["id", "amount", "balance_after", "is_fixed"], errors="ignore"), width="stretch", height=500)
+
+    if not df.empty:
+        render_section_label("✏️", "선택 거래 수정")
+        options = {f"{r.transaction_datetime or r.transaction_date} · {r.merchant} · {format_krw(r.amount)} · {r.category or '미분류'}": r.id for r in df.itertuples()}
+        label = st.selectbox("수정할 거래", list(options.keys()))
+        tx_id = options[label]
+        tx = df[df["id"] == tx_id].iloc[0].to_dict()
+        update_transaction_form(tx, "tx", db_path)