Merge branch 'main' into timeline-integration

README.md

@@ -381,6 +381,9 @@ The CSV output by the command above includes the following columns:
 * __storageMaximumGiB__ : Maximum gibibytes of storage used during a single 1-minute interval
 * __storageAverageGiB__ : Average gibibytes of storage used by the workflow run
 
+> [!WARNING]  
+> At this time AWS HealthOmics does not report the average or maximum storage used by runs that use "DYNAMIC" storage that run for under two hours. Because of this limitation the `storageMaximumGiB` and `storageAverageGiB` are set to zero and will not be included in the estimate run cost.
+
 #### Produce a timeline plot for a run
 
 The RunAnalyzer tool can produce an interative timeline plot of a workflow. The plots allow you to visualize how individual tasks ran over the course of the run.

omics/cli/run_analyzer/__main__.py

@@ -299,12 +299,10 @@ def add_metrics(res, resources, pricing):
     region = arn[3]
     res["type"] = rtype
 
-    # if a run has no metrics body then we can skip the rest
-    if rtype == "run" and not res["metrics"]:
-        return
-
     metrics = res.get("metrics", {})
-    res["metrics"] = metrics
+    # if a resource has no metrics body then we can skip the rest
+    if res.get("metrics") is None:
+        return
 
     if rtype == "run":
         add_run_util(res, resources[1:])