tags dev

src/aggregate/aggregate_service.py

@@ -1,6 +1,6 @@
 # contains the business logic for aggregates
 
-from typing import List
+from typing import List, Dict
 from pprint import pprint
 from fastapi import Request
 from src.aggregate.aggregate_schema import AggregateSchema, MetricEnum
@@ -10,12 +10,34 @@ from src.utils import round_bytes, get_data_from_ontap
 logger = getLogger("uvicorn")
 logger.setLevel("DEBUG")
 
+# TAG2REST = {
+# 'worm_compliance': { 'snaplock_type': 'compliance' },
+# 'worm_enterprise': { 'snaplock_type': 'enterprise' },
+# 'flash': { 'block_storage.storage_type': 'ssd' },
+# 'hdd': { 'block_storage.storage_type': 'hdd' }, 
+# 'mcc': { 'block_storage.mirror.enabled': 'true' }
+# }
 
-async def get_aggregates(request: Request, metric: str = "relative") -> List[AggregateSchema]:
+# {
+#     "flash": "production",
+#     "performance": "gold", 
+#     "worm": "compliance"
+# }
+
+async def get_aggregates(request: Request, metric: str = "relative", tags: Dict[str, str] = None) -> 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
     logger.debug(f"Metric used: {metric}")
+    logger.debug(f"Tags used: {tags}")
+
+    # convert tags to ONTAP filter
+    # filter_str = ""
+    # if tags:
+    #     str_filter_parts = [f"tag.{key} eq '{value}'" for key, value in tags.items()]
+    #     param_str = "&".join([f"{TAG2REST[key]}" for key, value in tags.items()])
+
+
     __aggregates = await get_data_from_ontap(request, logger, "storage/aggregates", "fields=*")
     pprint(__aggregates)
     if metric == MetricEnum.relative: