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import json | |
import boto3 | |
import requests | |
from datetime import datetime, timedelta | |
CLIENT = boto3.client('ce') | |
SLACK_WEBHOOK_URL = '' # Enter the slack webhook url. | |
def lambda_handler(event, context): | |
START_DATE = (datetime.now() - timedelta(days=2)).strftime('%Y-%m-%d') | |
END_DATE = (datetime.now() - timedelta(days=1)).strftime('%Y-%m-%d') | |
AWS_ACCOUNT_ID = [''] # Enter your aws account id. If you have multiple accounts put all account ids. | |
for account_id in AWS_ACCOUNT_ID: | |
COST = CLIENT.get_cost_and_usage( | |
TimePeriod = {'Start': START_DATE, 'End': END_DATE}, | |
Granularity = 'DAILY', | |
Metrics = ['UnblendedCost'], | |
Filter = {'Dimensions': { | |
'Key': 'LINKED_ACCOUNT', 'Values': [account_id] | |
}} | |
) | |
TOTAL_COST = round(float(COST['ResultsByTime'][0]['Total']['UnblendedCost']['Amount']), 2) | |
UNIT = COST['ResultsByTime'][0]['Total']['UnblendedCost']['Unit'] | |
SLACK_MESSAGE = { | |
"channel": "#aws-cost", | |
"username": "AWS Cost Monitor", | |
"text": f"Your AWS account {account_id} due {TOTAL_COST} {UNIT} on {START_DATE}.", | |
"icon_emoji": ":ghost:", | |
} | |
ENCODED_SLACK_MESSAGE = json.dumps(SLACK_MESSAGE).encode('utf-8') | |
SLACK_RESPONSE = requests.post(SLACK_WEBHOOK_URL, ENCODED_SLACK_MESSAGE) | |
print(SLACK_RESPONSE.text) |
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