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

aws-opensearch.py

@@ -8,24 +8,41 @@ 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):
+def printResources(region_name: str) -> list[list[str | int]]:
+    return_data = []
     client = boto3.client('opensearch', region_name=region_name)
     response = client.list_domain_names()
     for i in response['DomainNames']:
-        print(f"{i['DomainName']}, {i['EngineType']}, {region_name}")
+        return_data.append([i['DomainName'], i['EngineType'], region_name])
+    return return_data
 
 # Main function
 def main() -> None:
-    print("DomainName,EngineType,region")
+    # Open spreadsheet and add a sheet
+    wb = load_workbook('aws-inventory.xlsx')
+    ws = wb.create_sheet("OpenSearch")
+
+    final_data = []
+    ws.append(["DomainName","EngineType","region"])
     with concurrent.futures.ProcessPoolExecutor(max_workers=6) as executor:
         futures = [executor.submit(printResources, region_name=r) for r in getRegions()]
-        results = [future.result() for future in concurrent.futures.wait(futures).done]
+        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__':