Renamed folder from example -> aggregate

src/aggregate/aggregate_service.py

@@ -0,0 +1,24 @@
+# contains the business logic for aggregates
+from typing import List
+from .aggregate_schema import AggregateSchema
+
+
+async def get_aggregates(metric: str = "relative") -> List[AggregateSchema]:
+    # Dummy data for demonstration
+    # You can use the metric parameter to filter or modify results as needed
+    # For now, just return the same data and show metric usage
+    print(f"Metric used: {metric}")
+
+    aggregates: list = [
+        AggregateSchema(
+            aggregate="Aggregate A", node="cluster01-01", available="100.0TB"
+        ),
+        AggregateSchema(
+            aggregate="Aggregate B", node="cluster01-01", available="200.5GB"
+        ),
+        AggregateSchema(
+            aggregate="Aggregate C", node="cluster01-02", available="300.75MB"
+        ),
+    ]
+
+    return aggregates