src/aggregate/aggregate_router.py

@@ -1,21 +1,16 @@
 # contains the router for the aggregates endpoint
-from fastapi import APIRouter, Query
+from fastapi import APIRouter, Query, Request
-from enum import Enum
 from typing import List
-from .aggregate_schema import AggregateSchema
+from .aggregate_schema import AggregateSchema, MetricEnum
 from .aggregate_service import get_aggregates
 
 
-class MetricEnum(str, Enum):
-    relative = "relative"
-    absolute = "absolute"
-
-
 router = APIRouter(tags=["aggregates"])
 
 
 @router.get("/aggregates", response_model=List[AggregateSchema])
 async def aggregates_endpoint(
+    request: Request,
     metric: MetricEnum = Query(MetricEnum.relative, description="Metric type"),
 ):
-    return await get_aggregates(metric)
+    return await get_aggregates(request, metric)

src/aggregate/aggregate_schema.py

@@ -1,8 +1,15 @@
 # contains the schema definitions for aggregates
 from pydantic import BaseModel
+from enum import Enum
 
 
 class AggregateSchema(BaseModel):
     aggregate: str
     node: str
-    available: str
+    available: int
+    available_str: str
+
+
+class MetricEnum(str, Enum):
+    relative = "relative"
+    absolute = "absolute"

src/aggregate/aggregate_service.py

@@ -1,24 +1,38 @@
 # contains the business logic for aggregates
+
 from typing import List
-from .aggregate_schema import AggregateSchema
+
+from fastapi import Request
+from .aggregate_schema import AggregateSchema, MetricEnum
+from logging import getLogger
+from ..utils import round_bytes, get_data_from_ontap
+
+logger = getLogger("uvicorn")
+logger.setLevel("DEBUG")
 
 
-async def get_aggregates(metric: str = "relative") -> List[AggregateSchema]:
+async def get_aggregates(request: Request, 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}")
+    logger.debug(f"Metric used: {metric}")
+    client = request.app.requests_client
+    __aggregates = await get_data_from_ontap(client, logger, "172.16.57.2", "admin", "Netapp12", "storage/aggregates", "fields=name,uuid,space,node,home_node")
+    logger.debug(__aggregates)
+    __aggregates = __aggregates.get("records")
+    if metric == MetricEnum.relative:
+        __aggregates = sorted(__aggregates, key=lambda r: r["space"]["block_storage"].get("used_percent"), reverse=True)
+    elif metric == MetricEnum.absolute:
+        __aggregates = sorted(__aggregates, key=lambda r: r["space"]["block_storage"].get("available"), reverse=False)
 
     aggregates: list = [
         AggregateSchema(
-            aggregate="Aggregate A", node="cluster01-01", available="100.0TB"
+            aggregate=a["name"],
-        ),
+            node=a["node"]["name"],
-        AggregateSchema(
+            available=a["space"]["block_storage"]["available"],
-            aggregate="Aggregate B", node="cluster01-01", available="200.5GB"
+            available_str=round_bytes(a["space"]["block_storage"]["available"]),
-        ),
+        )
-        AggregateSchema(
+        for a in __aggregates
-            aggregate="Aggregate C", node="cluster01-02", available="300.75MB"
-        ),
     ]
 
     return aggregates

src/main.py

@@ -1,14 +1,26 @@
-from src.service import load_config
-from fastapi import FastAPI
 import logging
+
+from fastapi import FastAPI
+from contextlib import asynccontextmanager
+import httpx
+
 from src.aggregate import aggregate_router
+from src.service import load_config
 
 logger = logging.getLogger("uvicorn")
 
 logger.info("Starting application")
 config = load_config()
 
-app = FastAPI()
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    app.requests_client = httpx.AsyncClient(verify=False)
+    yield
+    await app.requests_client.aclose()
+
+
+app = FastAPI(lifespan=lifespan)
 app.include_router(aggregate_router)
 
 

src/utils.py

@@ -0,0 +1,24 @@
+import httpx
+
+def round_bytes(size_in_bytes: int) -> str:
+    # Helper function to convert bytes to a human-readable format
+    for unit in ["B", "KiB", "MiB", "GiB", "TiB", "PiB"]:
+        if size_in_bytes < 1024:
+            return f"{size_in_bytes:.2f}{unit}"
+        size_in_bytes /= 1024
+    return f"{size_in_bytes:.2f}EB"
+
+
+async def get_data_from_ontap(client, logger, hostname: str, username: str, password: str, endpoint: str, query_string: str = ""):
+    url = f"https://{hostname}/api/{endpoint}"
+    if query_string:
+        url += f"?{query_string}"
+    async with client as _client:
+        try:
+            logger.debug(f"Fetching data from ONTAP: {url}")
+            response = await _client.get(url, auth=(username, password))
+            response.raise_for_status()
+            return response.json()
+        except httpx.HTTPError as e:
+            logger.error(f"HTTP error occurred: {e}")
+            return None