Fix long Emby history ranges (app.py)

app.py

@@ -484,6 +484,12 @@ def _analyze_emby_sharing(series: list[dict], step_seconds: int) -> dict:
     }
 
 
+def _emby_history_step(days: int) -> int:
+    """Keep query_range below Prometheus' 11,000-points-per-series limit."""
+    duration_seconds = days * 86400
+    return max(60, math.ceil((duration_seconds / 10_500) / 60) * 60)
+
+
 async def _fetch_emby_session_history(days: int, server: str) -> tuple[list[dict], int]:
     cfg = SERVICES.get("grafana")
     if not cfg:
@@ -497,23 +503,43 @@ async def _fetch_emby_session_history(days: int, server: str) -> tuple[list[dict
     query = f"max by ({labels}) ({selector})"
     end = int(time.time())
     start = end - days * 86400
-    step = max(60, math.ceil(((end - start) / 30000) / 60) * 60)
+    step = _emby_history_step(days)
     url = f"{request_data['base_url'].rstrip('/')}/api/datasources/proxy/uid/{datasource_uid}/api/v1/query_range"
+    series_by_metric: dict[str, dict] = {}
+    chunk_seconds = 30 * 86400
     try:
         async with httpx.AsyncClient(timeout=90) as client:
+            chunk_start = start
+            while chunk_start < end:
+                chunk_end = min(chunk_start + chunk_seconds, end)
                 response = await client.get(
                     url,
-                params={"query": query, "start": start, "end": end, "step": step},
+                    params={"query": query, "start": chunk_start, "end": chunk_end, "step": step},
                     headers=request_data["headers"], cookies=request_data["cookies"],
                 )
                 response.raise_for_status()
                 payload = response.json()
+                if payload.get("status") != "success":
+                    raise HTTPException(502, "Prometheus rejected the Emby session history query")
+                for item in payload.get("data", {}).get("result", []):
+                    metric = item.get("metric", {})
+                    key = json.dumps(metric, sort_keys=True, separators=(",", ":"))
+                    merged = series_by_metric.setdefault(key, {"metric": metric, "values": []})
+                    merged["values"].extend(item.get("values", []))
+                chunk_start = chunk_end
     except (httpx.HTTPError, ValueError) as exc:
         log.warning("Emby sharing history query failed: %s", type(exc).__name__)
         raise HTTPException(502, "Emby session history is temporarily unavailable")
-    if payload.get("status") != "success":
-        raise HTTPException(502, "Prometheus rejected the Emby session history query")
-    return payload.get("data", {}).get("result", []), step
+
+    series = []
+    for item in series_by_metric.values():
+        values_by_timestamp = {
+            float(value[0]): value for value in item["values"]
+            if isinstance(value, (list, tuple)) and len(value) >= 2
+        }
+        item["values"] = [values_by_timestamp[ts] for ts in sorted(values_by_timestamp)]
+        series.append(item)
+    return series, step
 
 
 @app.get("/emby/account-sharing")