feat: added functionality inside GET/aggregates
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@@ -1,16 +1,10 @@
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# contains the router for the aggregates endpoint
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from fastapi import APIRouter, Query
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from enum import Enum
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from typing import List
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from .aggregate_schema import AggregateSchema
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from .aggregate_schema import AggregateSchema, MetricEnum
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from .aggregate_service import get_aggregates
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class MetricEnum(str, Enum):
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relative = "relative"
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absolute = "absolute"
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router = APIRouter(tags=["aggregates"])
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@@ -1,8 +1,15 @@
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# contains the schema definitions for aggregates
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from pydantic import BaseModel
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from enum import Enum
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class AggregateSchema(BaseModel):
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aggregate: str
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node: str
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available: str
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available: int
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available_str: str
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class MetricEnum(str, Enum):
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relative = "relative"
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absolute = "absolute"
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@@ -1,24 +1,36 @@
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# contains the business logic for aggregates
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from typing import List
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from .aggregate_schema import AggregateSchema
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from .aggregate_schema import AggregateSchema, MetricEnum
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from logging import getLogger
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from ..utils import round_bytes, get_data_from_ontap
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logger = getLogger("uvicorn")
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logger.setLevel("DEBUG")
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async def get_aggregates(metric: str = "relative") -> List[AggregateSchema]:
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# Dummy data for demonstration
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# You can use the metric parameter to filter or modify results as needed
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# For now, just return the same data and show metric usage
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print(f"Metric used: {metric}")
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logger.debug(f"Metric used: {metric}")
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__aggregates = get_data_from_ontap(logger, "172.16.57.2", "admin", "Netapp12", "storage/aggregates", "fields=name,uuid,space,node,home_node")
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logger.debug(__aggregates)
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__aggregates = __aggregates.get("records")
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if metric == MetricEnum.relative:
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__aggregates = sorted(__aggregates, key=lambda r: r["space"]["block_storage"].get("used_percent"), reverse=True)
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elif metric == MetricEnum.absolute:
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__aggregates = sorted(__aggregates, key=lambda r: r["space"]["block_storage"].get("available"), reverse=False)
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aggregates: list = [
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AggregateSchema(
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aggregate="Aggregate A", node="cluster01-01", available="100.0TB"
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),
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AggregateSchema(
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aggregate="Aggregate B", node="cluster01-01", available="200.5GB"
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),
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AggregateSchema(
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aggregate="Aggregate C", node="cluster01-02", available="300.75MB"
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),
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aggregate=a["name"],
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node=a["node"]["name"],
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available=a["space"]["block_storage"]["available"],
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available_str=round_bytes(a["space"]["block_storage"]["available"]),
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)
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for a in __aggregates
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]
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return aggregates
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