# 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