feat: ported all scripts from bash to python. results are now written to a spreadsheet

aws-ecs.py

@@ -0,0 +1,52 @@
+#!/usr/bin/env python3
+r"""
+Documentation
+
+License: This program is released under the MIT License
+"""
+
+# Imports
+import boto3
+import concurrent.futures
+from openpyxl import load_workbook
+from openpyxl.worksheet.worksheet import Worksheet
+
+
+def getRegions(all_regions=False):
+    ec2 = boto3.client('ec2')
+    response = ec2.describe_regions(AllRegions=all_regions)
+    return [region['RegionName'] for region in response['Regions']]
+
+def printResources(region_name: str) -> list[list[str | int]]:
+    return_data = []
+    client = boto3.client('ecs', region_name=region_name)
+    response = client.list_clusters()
+    for arn in response['clusterArns']:
+        resp2 = client.describe_cluster(clusters=arn)
+        for i in resp2['clusters']:
+            return_data.append([i['clusterName'], i['runningTasksCount'], i['capacityProviders'], region_name])
+    return return_data
+
+# Main function
+def main() -> None:
+    # Open spreadsheet and add a sheet
+    wb = load_workbook('aws-inventory.xlsx')
+    ws = wb.create_sheet("Ecs")
+
+    final_data = []
+    ws.append(["clusterName", "runningTasksCount", "capacityProviders", "Region"])
+    with concurrent.futures.ProcessPoolExecutor(max_workers=6) as executor:
+        futures = [executor.submit(printResources, region_name=r) for r in getRegions()]
+        for future in concurrent.futures.as_completed(futures):
+            region_data = future.result()
+            final_data.extend(region_data)
+
+    clean_data = [row for row in final_data if row]
+    for row in clean_data:
+        ws.append(row)
+
+    wb.save('aws-inventory.xlsx')
+
+# Call main function
+if __name__ == '__main__':
+    main()