fix: now really use multiple clusters in the loop

src/aggregate/aggregate_service.py

@@ -1,7 +1,7 @@
 # contains the business logic for aggregates
 
 from typing import List
-
+from pprint import pprint
 from fastapi import Request
 from src.aggregate.aggregate_schema import AggregateSchema, MetricEnum
 from logging import getLogger
@@ -16,9 +16,8 @@ async def get_aggregates(request: Request, metric: str = "relative") -> List[Agg
     # You can use the metric parameter to filter or modify results as needed
     # For now, just return the same data and show metric usage
     logger.debug(f"Metric used: {metric}")
-    __aggregates = await get_data_from_ontap(request, logger, "172.16.57.2", "admin", "Netapp12", "storage/aggregates", "fields=name,uuid,space,node,home_node")
-    logger.debug(__aggregates)
-    __aggregates = __aggregates.get("records")
+    __aggregates = await get_data_from_ontap(request, logger, "storage/aggregates", "fields=name,uuid,space,node,home_node")
+    pprint(__aggregates)
     if metric == MetricEnum.relative:
         __aggregates = sorted(__aggregates, key=lambda r: r["space"]["block_storage"].get("used_percent"), reverse=True)
     elif metric == MetricEnum.absolute: