KenF
51 lines
1.6 KiB
Python
Executable File
51 lines
1.6 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 getResources(region_name: str) -> list[list[str | int]]:
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return_data = []
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client = boto3.client('dynamodb', region_name=region_name)
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paginator = client.get_paginator('list_tables')
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for page in paginator.paginate():
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table_names = page.get('TableNames', [])
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for t in table_names:
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resp2 = client.describe_table(TableName=t)
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i = resp2['Table']
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return_data.append([i['TableName'], i['TableStatus'], i['TableSizeBytes'], i['ItemCount'], 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("DynamoDB")
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ws.append(["TableName", "TableStatus", "TableSizeBytes", "ItemCount", "Region"])
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with concurrent.futures.ThreadPoolExecutor(max_workers=8) as executor:
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results = executor.map(getResources, getRegions())
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for region_rows in results:
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# append to worksheet only if resoruces are found in the region
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if region_rows:
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for row in region_rows:
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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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