Chris Christiansen
9fcb9c354a
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125 lines
4.7 KiB
Python
125 lines
4.7 KiB
Python
import os
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import boto3
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import datetime
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import logging
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class AWSBillingAgent:
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def __init__(self):
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self.aws_access_key_id = os.environ.get("AWS_ACCESS_KEY_ID")
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self.aws_secret_access_key = os.environ.get("AWS_SECRET_ACCESS_KEY")
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self.aws_default_region = os.environ.get("AWS_DEFAULT_REGION", "us-east-1")
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if not all([self.aws_access_key_id, self.aws_secret_access_key, self.aws_default_region]):
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raise ValueError("AWS credentials (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION) must be set.")
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self.ce_client = boto3.client(
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'ce',
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aws_access_key_id=self.aws_access_key_id,
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aws_secret_access_key=self.aws_secret_access_key,
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region_name=self.aws_default_region
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)
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logging.basicConfig(level=logging.INFO)
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def get_summary(self):
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"""
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Henter MTD-kostnad, daglig snitt, prognose og en fordeling per tjeneste for AWS.
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"""
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try:
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today = datetime.date.today()
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start_of_month = today.replace(day=1).isoformat()
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end_of_month = today.isoformat()
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# Hent kostnad per tjeneste
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response = self.ce_client.get_cost_and_usage(
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TimePeriod={
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'Start': start_of_month,
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'End': end_of_month
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},
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Granularity='MONTHLY',
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Metrics=['UnblendedCost'],
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GroupBy=[{'Type': 'DIMENSION', 'Key': 'SERVICE'}]
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)
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summary = []
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for item in response['ResultsByTime'][0]['Groups']:
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summary.append({
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"service": item['Keys'][0],
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"total_cost": float(item['Metrics']['UnblendedCost']['Amount'])
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})
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summary = sorted(summary, key=lambda i: i['total_cost'], reverse=True)
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if not summary:
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return {
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"onboarding_status": {
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"state": "awaiting_data",
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"message": "Kunne ikke hente faktureringsdata fra AWS. Sjekk at Cost Explorer er aktivert."
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}
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}
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return {"summary": summary}
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except Exception as e:
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logging.error(f"Error fetching AWS summary: {e}")
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return {"error": str(e)}
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def get_forecast(self):
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"""
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Henter en kostnadsprognose for AWS.
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"""
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try:
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today = datetime.date.today()
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start_of_month = today.replace(day=1).isoformat()
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# MTD-kostnad
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mtd_response = self.ce_client.get_cost_and_usage(
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TimePeriod={
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'Start': start_of_month,
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'End': today.isoformat()
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},
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Granularity='MONTHLY',
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Metrics=['UnblendedCost']
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)
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mtd_cost = float(mtd_response['ResultsByTime'][0]['Total']['UnblendedCost']['Amount'])
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# Prognose
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forecast_response = self.ce_client.get_cost_forecast(
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TimePeriod={
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'Start': (today + datetime.timedelta(days=1)).isoformat(),
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'End': (today.replace(day=1) + datetime.timedelta(days=32)).replace(day=1).isoformat()
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},
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Metric='UNBLENDED_COST',
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Granularity='MONTHLY'
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)
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total_forecast = float(forecast_response['Total']['Amount'])
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# Daglig snitt
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last_7_days_start = (today - datetime.timedelta(days=7)).isoformat()
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daily_avg_response = self.ce_client.get_cost_and_usage(
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TimePeriod={
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'Start': last_7_days_start,
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'End': today.isoformat()
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},
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Granularity='DAILY',
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Metrics=['UnblendedCost']
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)
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daily_costs = [float(item['Total']['UnblendedCost']['Amount']) for item in daily_avg_response['ResultsByTime']]
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daily_average = sum(daily_costs) / len(daily_costs) if daily_costs else 0
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return {
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"daily_average_last_7_days": daily_average,
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"month_to_date_cost": mtd_cost,
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"total_monthly_forecast": total_forecast,
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"data_note": "Prognose fra AWS Cost Explorer. Kan avvike fra endelig faktura."
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}
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except Exception as e:
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logging.error(f"Error fetching AWS forecast: {e}")
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return {"error": str(e)}
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if __name__ == '__main__':
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# For local testing, ensure env vars are set
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agent = AWSBillingAgent()
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print("Summary:", agent.get_summary())
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print("Forecast:", agent.get_forecast())
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