Ivan Carlos de Almeida
4f4540b93a
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45 lines
1.7 KiB
Python
45 lines
1.7 KiB
Python
import boto3
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from datetime import datetime, timedelta
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def lambda_handler(event, context):
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start_date = event.get('start_date')
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end_date = event.get('end_date')
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if not start_date or not end_date:
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now = datetime.now()
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first_day_this_month = datetime(now.year, now.month, 1)
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first_day_last_month = (first_day_this_month - timedelta(days=1)).replace(day=1)
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first_day_this_month_str = first_day_this_month.strftime('%Y-%m-%d')
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first_day_last_month_str = first_day_last_month.strftime('%Y-%m-%d')
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start_date = first_day_last_month_str
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end_date = first_day_this_month_str # Set to first day of current month (exclusive)
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ce = boto3.client('ce')
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response = ce.get_cost_and_usage(
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TimePeriod={'Start': start_date, 'End': end_date},
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Granularity='MONTHLY',
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Metrics=['UnblendedCost'],
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GroupBy=[
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{'Type': 'TAG', 'Key': 'Tenant'},
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{'Type': 'DIMENSION', 'Key': 'SERVICE'}
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]
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)
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results = []
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for result in response['ResultsByTime']:
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for group in result['Groups']:
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tenant_key = group['Keys'][0] if group['Keys'][0] else ""
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tenant = tenant_key.split('$', 1)[1] if '$' in tenant_key else tenant_key
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if not tenant:
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tenant = "_NoTag"
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service = group['Keys'][1] if len(group['Keys']) > 1 else "Unknown"
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cost_usd = float(group['Metrics']['UnblendedCost']['Amount'])
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cost_usd_str = f"{cost_usd:.2f}".replace('.', ',')
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results.append({
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"Tenant": tenant,
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"Service": service,
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"Cost (USD)": cost_usd_str
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})
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return results
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