def test_update_of_existing_secret_updates_secret(self):
with self.ExistingSecretTestFixture() as existing_secret:
secret = AwsSecret(name=existing_secret.secret_id)
secret.update(value='{"foo":"bar"}')
self.assertEqual(
self.secrets_mgr.get_secret_value(
SecretId=existing_secret.arn)['SecretString'],
'{"foo":"bar"}')
"""
This AWS Lambda function allowed to delete the old Elasticsearch index
"""
import boto3
import json
import logging
import os
from dcplib.aws_secret import AwsSecret
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
config = json.loads(
AwsSecret('logs/_/log_retention_policy_enforcer.json').value)
logs_client = boto3.client('logs')
class LogRetentionPolicyEnforcer:
def __init__(self, client, ttls=dict(), prefix=None, default_days=1827):
self.client = client
self.ttls = ttls
# users can set these by hand
self.prefix = prefix
self.default_days = default_days
@staticmethod
def from_ttl_file(client, filename):
ttls = dict()
import json
from dcplib.aws_secret import AwsSecret
config = json.loads(AwsSecret('logs/_/firehose_to_es_processor.json').value)