docs: update readme

README.md

@@ -1,3 +1,17 @@
 # generic_api_endpoint
 
-Hackathon API endpoint
+Hackathon API endpoint
+
+## management summary // usecase
+This API acts as a middelware for service portals and frontends (like SNOW), that can retrieve data via REST API. It manages metadata.
+
+## ideas for future
+- store the data in redis on initialization or on first request
+  - also first query redis, and not directly ONTAP
+- documentation -> make it understandable, so that users will use it!
+- add capability to apply filters/conditions on the return
+  - Alexeys
+
+- add capability for finding best clusters, volumes
+- get credentials from credential-mgmt-system
+- 

src/aggregate/aggregate_service.py

@@ -16,7 +16,7 @@ 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, "storage/aggregates", "fields=name,uuid,space,node,home_node")
+    __aggregates = await get_data_from_ontap(request, logger, "storage/aggregates", "fields=*")
     pprint(__aggregates)
     if metric == MetricEnum.relative:
         __aggregates = sorted(__aggregates, key=lambda r: r["space"]["block_storage"].get("used_percent"), reverse=True)