加速當日業績 metadata 查詢

routes/daily_sales_routes.py

@@ -202,6 +202,43 @@ def _get_available_daily_dates(engine, table_name='daily_sales_snapshot'):
     return dates
 
 
+def _get_daily_sales_metadata(engine, table_name='daily_sales_snapshot'):
+    """一次取得日期選單與資料指紋，避免首屏每次掃兩輪 daily snapshot。"""
+    validate_table_name(table_name)
+    if engine.dialect.name != 'postgresql':
+        return (
+            _get_available_daily_dates(engine, table_name),
+            _get_data_fingerprint(engine, table_name),
+        )
+
+    query = text(
+        f'SELECT MAX(snapshot_date)::text AS max_snapshot_date, '
+        f'COUNT(*) AS row_count, '
+        f'ARRAY_AGG(DISTINCT snapshot_date::date ORDER BY snapshot_date::date DESC) '
+        f'FILTER (WHERE snapshot_date IS NOT NULL) AS available_dates '
+        f'FROM "{table_name}"'
+    )
+    try:
+        with engine.connect() as conn:
+            row = conn.execute(query).fetchone()
+        if not row:
+            return [], (None, 0)
+        raw_dates = row[2] or []
+        dates = []
+        for raw_date in raw_dates:
+            try:
+                dates.append(pd.to_datetime(raw_date).normalize())
+            except Exception:
+                continue
+        return dates, (row[0], row[1] or 0)
+    except Exception as exc:
+        sys_log.warning(f"[DailySales] metadata 查詢失敗，改用相容查詢: {exc}")
+        return (
+            _get_available_daily_dates(engine, table_name),
+            _get_data_fingerprint(engine, table_name),
+        )
+
+
 def _read_daily_sales_window(engine, table_name, start_date, end_date):
     """只讀取畫面需要的日期窗口，降低冷 worker 首頁等待時間。"""
     return safe_read_sql(
@@ -501,7 +538,7 @@ def daily_sales():
                                    chart_data=None, categories=None, calendar_data=None, selected_month=None,
                                    datetime_now=datetime_now_str, active_page='daily_sales')
 
-        available_dates = _get_available_daily_dates(engine, table_name)
+        available_dates, current_fingerprint = _get_daily_sales_metadata(engine, table_name)
         if not available_dates:
             return render_template('daily_sales.html',
                                    error="資料表為空，請先匯入當日業績資料。",
@@ -537,7 +574,6 @@ def daily_sales():
         )
         data_end = max(selected_date, month_end)
 
-        current_fingerprint = _get_data_fingerprint(engine, table_name)
         view_cache_key = "|".join([
             table_name,
             'view',

tests/test_cache_manager.py

@@ -1,4 +1,5 @@
 from pathlib import Path
+from datetime import date
 import pickle
 from flask import Flask, session
 
@@ -183,6 +184,54 @@ def test_clear_daily_sales_cache_removes_shared_view_cache_files(tmp_path, monke
     assert not cache_file.exists()
 
 
+def test_daily_sales_metadata_uses_single_postgres_query():
+    from routes import daily_sales_routes
+
+    class FakeDialect:
+        name = "postgresql"
+
+    class FakeResult:
+        def fetchone(self):
+            return ("2026-05-17", 85118, [date(2026, 5, 17), date(2026, 5, 16)])
+
+    class FakeConnection:
+        def __enter__(self):
+            return self
+
+        def __exit__(self, exc_type, exc, tb):
+            return False
+
+        def execute(self, query):
+            self.query = str(query)
+            return FakeResult()
+
+    class FakeEngine:
+        dialect = FakeDialect()
+
+        def connect(self):
+            return FakeConnection()
+
+    dates, fingerprint = daily_sales_routes._get_daily_sales_metadata(FakeEngine())
+
+    assert [d.strftime("%Y-%m-%d") for d in dates] == ["2026-05-17", "2026-05-16"]
+    assert fingerprint == ("2026-05-17", 85118)
+
+
+def test_daily_sales_metadata_falls_back_for_sqlite(monkeypatch):
+    from routes import daily_sales_routes
+
+    class FakeDialect:
+        name = "sqlite"
+
+    class FakeEngine:
+        dialect = FakeDialect()
+
+    monkeypatch.setattr(daily_sales_routes, "_get_available_daily_dates", lambda engine, table_name: ["date-a"])
+    monkeypatch.setattr(daily_sales_routes, "_get_data_fingerprint", lambda engine, table_name: ("date-a", 1))
+
+    assert daily_sales_routes._get_daily_sales_metadata(FakeEngine()) == (["date-a"], ("date-a", 1))
+
+
 def test_promo_dashboard_shared_cache_roundtrip(tmp_path, monkeypatch):
     from routes import edm_routes