Feature: Persistente History via SQLite (v1.3.0)

Sensorwerte werden in /data/history.db (SQLite, WAL-Modus) persistiert
und überleben damit Add-on-Neustarts. Beim Start werden die letzten 300
Messpunkte pro Sensor in die In-Memory-Deque geladen, sodass Sparklines
sofort Daten zeigen. Retention: 7 Tage. Neue API: GET /api/history.

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

haos-addon/src/main.py

@@ -10,6 +10,7 @@ from typing import Any, Dict, List, Optional
 from flask import Flask, jsonify, request, send_from_directory
 
 from inverters import INVERTERS
+import history
 from modbus_client import ModbusReader
 from mqtt_publisher import MqttPublisher
 
@@ -160,9 +161,18 @@ def _poll_loop(inv_cfg: Dict[str, Any], stop: threading.Event):
             _publisher.register_inverter(inverter, device_id, prefix,
                                          inv_cfg.get("name", inverter.name))
 
-    log.info("[%s] Poll-Loop: %s @ %s:%s alle %ds",
+    # History aus DB in die In-Memory-Deque laden
+    hist_data = history.load_recent(inv_id, limit=300)
+    with State.lock:
+        d = State.inv_data.setdefault(inv_id, {"poll_count": 0})
+        hist = d.setdefault("history", {})
+        for sid, points in hist_data.items():
+            q = hist.setdefault(sid, deque(maxlen=300))
+            for pt in points:
+                q.append(pt)
+    log.info("[%s] Poll-Loop: %s @ %s:%s alle %ds — %d Sensoren aus DB geladen",
              inv_id, inverter.name, inv_cfg["modbus_ip"],
-             inv_cfg.get("modbus_port", 502), interval)
+             inv_cfg.get("modbus_port", 502), interval, len(hist_data))
 
     while not stop.is_set():
         t0 = time.time()
@@ -179,6 +189,7 @@ def _poll_loop(inv_cfg: Dict[str, Any], stop: threading.Event):
                 for sid, val in values.items():
                     q = hist.setdefault(sid, deque(maxlen=300))
                     q.append((now, val))
+                history.write_batch(inv_id, now, values)
                 if _publisher:
                     _publisher.publish_data(values, prefix)
                     _publisher.publish_status("online", prefix)
@@ -321,6 +332,18 @@ def api_get_data():
     aggregates = _compute_aggregates()
     return jsonify({"inverters": result, "mqtt_ok": mqtt_ok, "aggregates": aggregates})
 
+@app.get("/api/history")
+def api_get_history():
+    inv_id = request.args.get("inv_id", "")
+    sensor_id = request.args.get("sensor_id", "")
+    hours = min(float(request.args.get("hours", "24")), 24 * 7)
+    if not inv_id or not sensor_id:
+        return jsonify({"error": "inv_id and sensor_id required"}), 400
+    to_ts = time.time()
+    from_ts = to_ts - hours * 3600
+    rows = history.query(inv_id, sensor_id, from_ts, to_ts)
+    return jsonify([{"ts": t, "value": v} for t, v in rows])
+
 @app.get("/api/inverter-models")
 def api_get_models():
     return jsonify({
@@ -343,6 +366,7 @@ def static_files(filename):
 # ── Startup ───────────────────────────────────────────────────
 
 if __name__ == "__main__":
+    history.init_db()
     cfg = load_config()
     with State.lock:
         State.mqtt_cfg = {k: cfg[k] for k in