ShineBridge v1.8.28 — history.py: load_recent Fix + periodisches Cleanup

- load_recent(): Window-Funktion durch pro-Sensor-Indexabfragen ersetzt
  (SELECT ... ORDER BY ts DESC LIMIT N per sensor_id) — nutzt Index optimal,
  kein Full-Table-Scan mehr auf 1M+ Zeilen beim Start
- Periodisches Cleanup: täglich via Daemon-Thread statt nur beim Start —
  DB bleibt dauerhaft auf RETENTION_DAYS beschränkt
- RETENTION_DAYS: 7 → 14 (explizites Maximum per Konfiguration)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

haos-addon/config.yaml

@@ -1,5 +1,5 @@
 name: ShineBridge
-version: "1.8.27"
+version: "1.8.28"
 slug: shinebridge
 description: Growatt Wechselrichter lokal in Home Assistant — Modbus TCP via ShineLAN-X, MQTT Discovery, Web UI
 url: https://gitea.bitfire.work/retr0/shinebridge

haos-addon/src/history.py

@@ -7,7 +7,7 @@ from typing import Dict, List, Optional, Tuple
 log = logging.getLogger(__name__)
 
 DB_PATH = "/data/history.db"
-RETENTION_DAYS = 7
+RETENTION_DAYS = 14
 
 _lock = threading.Lock()
 _conn: sqlite3.Connection | None = None
@@ -59,9 +59,19 @@ def init_db():
         """)
         c.commit()
     cleanup_old()
+    _start_cleanup_scheduler()
     log.info("History DB initialisiert: %s", DB_PATH)
 
 
+def _start_cleanup_scheduler():
+    def _loop():
+        while True:
+            time.sleep(86400)
+            cleanup_old()
+    t = threading.Thread(target=_loop, daemon=True, name="history-cleanup")
+    t.start()
+
+
 def period_key(period_type: str, billing_day: int = 1, billing_month: int = 1) -> str:
     import datetime
     today = datetime.date.today()
@@ -117,21 +127,18 @@ def write_batch(inv_id: str, ts: float, values: Dict[str, float]):
 def load_recent(inv_id: str, limit: int = 300) -> Dict[str, List[Tuple[float, float]]]:
     """Letzte `limit` Messpunkte pro Sensor — zum Befüllen der In-Memory-Deque beim Start."""
     with _lock:
-        rows = _get_conn().execute("""
-            SELECT sensor_id, ts, value
-            FROM (
-                SELECT sensor_id, ts, value,
-                       ROW_NUMBER() OVER (PARTITION BY sensor_id ORDER BY ts DESC) AS rn
-                FROM measurements
-                WHERE inv_id = ?
-            )
-            WHERE rn <= ?
-            ORDER BY ts ASC
-        """, (inv_id, limit)).fetchall()
-
+        c = _get_conn()
+        sensors = [r[0] for r in c.execute(
+            "SELECT DISTINCT sensor_id FROM measurements WHERE inv_id = ?", (inv_id,)
+        ).fetchall()]
         result: Dict[str, List[Tuple[float, float]]] = {}
-    for sensor_id, ts, value in rows:
-        result.setdefault(sensor_id, []).append((ts, value))
+        for sid in sensors:
+            rows = c.execute(
+                "SELECT ts, value FROM measurements "
+                "WHERE inv_id = ? AND sensor_id = ? ORDER BY ts DESC LIMIT ?",
+                (inv_id, sid, limit),
+            ).fetchall()
+            result[sid] = [(ts, val) for ts, val in reversed(rows)]
     return result