Files
aws-inventory/aws-ddb.py
T
2026-01-29 13:23:19 +08:00

47 lines
1.5 KiB
Python
Executable File

#!/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
import projectlib.aws
def getResources(region_name: str) -> list[list[str | int]]:
return_data = []
client = boto3.client('dynamodb', region_name=region_name)
paginator = client.get_paginator('list_tables')
for page in paginator.paginate():
table_names = page.get('TableNames', [])
for t in table_names:
resp2 = client.describe_table(TableName=t)
i = resp2['Table']
return_data.append([i['TableName'], i['TableStatus'], i['TableSizeBytes'], i['ItemCount'], 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("DynamoDB")
ws.append(["TableName", "TableStatus", "TableSizeBytes", "ItemCount", "Region"])
with concurrent.futures.ThreadPoolExecutor(max_workers=8) as executor:
results = executor.map(getResources, projectlib.aws.getRegions())
for region_rows in results:
# append to worksheet only if resources are found in the region
if region_rows:
for row in region_rows:
ws.append(row)
wb.save('aws-inventory.xlsx')
# Call main function
if __name__ == '__main__':
main()