Created
January 16, 2019 23:52
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AWS lambda using RAM by sending HTTP API request without external dependencies
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import os | |
import boto3 | |
import json | |
import botocore.auth | |
import botocore.credentials | |
from botocore.awsrequest import AWSRequest | |
from botocore.endpoint import BotocoreHTTPSession | |
from botocore.auth import SigV4Auth | |
def lambda_handler(event, context): | |
account_id = context.invoked_function_arn.split(':')[4] | |
host = 'ram.{}.amazonaws.com'.format(os.environ['AWS_REGION']) | |
params = { | |
'name': 'sharename', | |
'resourceArns': ['arn:aws:ec2:{}:{}:transit-gateway/{}'.format(os.environ['AWS_REGION'], account_id, 'tgw-01234567890')], | |
'principals': ['123456789012'] | |
} | |
headers = {'Host': host} | |
request = AWSRequest(method="POST", url="https://{}/createresourceshare".format(host), data=json.dumps(params), headers=headers) | |
SigV4Auth(boto3.Session().get_credentials(), "ram", os.environ['AWS_REGION']).add_auth(request) | |
session = BotocoreHTTPSession() | |
r = session.send(request.prepare()) | |
if r.status_code >= 200 and r.status_code <= 299: | |
return json.loads(r._content) | |
else: | |
raise Exception(r.status_code, r._content) | |
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