refector: optimized concurrent.futures
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+8
-11
@@ -25,8 +25,7 @@ def getResources(region_name: str) -> list[list[str | int]]:
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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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if i:
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return_data.append([i['TableName'], i['TableStatus'], i['TableSizeBytes'], i['ItemCount'], region_name])
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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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@@ -35,16 +34,14 @@ def main() -> None:
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wb = load_workbook('aws-inventory.xlsx')
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ws = wb.create_sheet("DynamoDB")
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final_data = []
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ws.append(["TableName", "TableStatus", "TableSizeBytes", "ItemCount", "Region"])
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with concurrent.futures.ProcessPoolExecutor(max_workers=6) as executor:
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futures = [executor.submit(getResources, 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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for row in final_data:
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ws.append(row)
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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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