#!/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()