KenF
51 lines
1.5 KiB
Python
Executable File
51 lines
1.5 KiB
Python
Executable File
#!/usr/bin/env python3
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r"""
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Documentation
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License: This program is released under the MIT License
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"""
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# Imports
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import boto3
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import concurrent.futures
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from openpyxl import load_workbook
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from openpyxl.worksheet.worksheet import Worksheet
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def getRegions(all_regions=False):
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ec2 = boto3.client('ec2')
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response = ec2.describe_regions(AllRegions=all_regions)
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return [region['RegionName'] for region in response['Regions']]
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def printResources(region_name: str) -> list[list[str | int]]:
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return_data = []
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client = boto3.client('elbv2', region_name=region_name)
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response = client.describe_load_balancers()
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for i in response['LoadBalancers']:
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return_data.append([i['LoadBalancerName'], i['Scheme'], i['Type'], region_name])
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return return_data
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# Main function
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def main() -> None:
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# Open spreadsheet and add a sheet
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wb = load_workbook('aws-inventory.xlsx')
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ws = wb.create_sheet("LoadBalancers")
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final_data = []
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ws.append(["LoadBalancerName", "Scheme", "Type", "Region"])
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with concurrent.futures.ProcessPoolExecutor(max_workers=6) as executor:
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futures = [executor.submit(printResources, region_name=r) for r in getRegions()]
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for future in concurrent.futures.as_completed(futures):
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region_data = future.result()
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final_data.extend(region_data)
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clean_data = [row for row in final_data if row]
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for row in clean_data:
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ws.append(row)
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wb.save('aws-inventory.xlsx')
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# Call main function
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if __name__ == '__main__':
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main()
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