Ruff format

aws/cloudwatch-log-costs.py

@@ -29,16 +29,16 @@ for page in paginator.paginate(Namespace="AWS/Logs", MetricName="IncomingBytes")
                 "Metric": {
                     "Namespace": metric["Namespace"],
                     "MetricName": metric["MetricName"],
-                    "Dimensions": metric["Dimensions"]
+                    "Dimensions": metric["Dimensions"],
                 },
                 "Period": int(period.total_seconds()),
-                "Stat": "Sum"
+                "Stat": "Sum",
             },
         }
         if not metric["Dimensions"]:
             continue
         query_names[f"q{n}"] = metric["Dimensions"][0]["Value"]
-        n = n+1
+        n = n + 1
         queries.append(query)
 
 
@@ -47,10 +47,17 @@ for page in paginator.paginate(Namespace="AWS/Logs", MetricName="IncomingBytes")
 # otherwise we would have to chunk up the calls to GetMetricData.
 results = []
 data_paginator = cw.get_paginator("get_metric_data")
-for data_page in data_paginator.paginate(MetricDataQueries=queries, StartTime=start_time, EndTime=end_time):
+for data_page in data_paginator.paginate(
+    MetricDataQueries=queries, StartTime=start_time, EndTime=end_time
+):
     for result in data_page["MetricDataResults"]:
         if result["Values"]:
-            results.append({"LogGroup": query_names[result["Id"]], "IncomingBytes": result["Values"][0]})
+            results.append(
+                {
+                    "LogGroup": query_names[result["Id"]],
+                    "IncomingBytes": result["Values"][0],
+                }
+            )
 
 results.sort(key=lambda x: x["IncomingBytes"], reverse=True)
 
@@ -62,6 +69,6 @@ for result in results:
 
 # CloudWatch logs: 5GiB free ingestion then $0.50 / GiB
 # Estimate a monthly cost by doubling the incoming_bytes counted over the last 14 days
-incoming_gb = 2*incoming_bytes_total/(1024*1024*1024)
+incoming_gb = 2 * incoming_bytes_total / (1024 * 1024 * 1024)
 cost = (incoming_gb - 5.0) * 0.5
 print(f"Estimated monthly cost: ${cost:.2f}")